Nature+ Quantitative Baseline Household & Worker Survey, Kenya (doi:10.7910/DVN/QFQURF)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Nature+ Quantitative Baseline Household & Worker Survey, Kenya

Identification Number:

doi:10.7910/DVN/QFQURF

Distributor:

Harvard Dataverse

Date of Distribution:

2024-11-05

Version:

Bibliographic Citation:

International Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC), 2024, "Nature+ Quantitative Baseline Household & Worker Survey, Kenya", https://doi.org/10.7910/DVN/QFQURF, Harvard Dataverse, V1, UNF:6:Eul2+jeF6sfwMOeE/I9YPA== [fileUNF]

Study Description

Citation

Title:

Nature+ Quantitative Baseline Household & Worker Survey, Kenya

Identification Number:

doi:10.7910/DVN/QFQURF

Authoring Entity:

International Food Policy Research Institute (IFPRI)

Kula Vyema Centre (KVC)

Other identifications and acknowledgements:

Azzarri, Carlo (International Food Policy Research Institute (IFPRI))

Other identifications and acknowledgements:

Boukaka, Sedi (International Food Policy Research Institute (IFPRI))

Other identifications and acknowledgements:

Davis, Kristin (International Food Policy Research Institute (IFPRI))

Other identifications and acknowledgements:

Kimenju, Simon (Kula Vyema Centre (KVC))

Producer:

International Food Policy Research Institute (IFPRI)

Date of Production:

2024

Software used in Production:

STATA

Distributor:

Harvard Dataverse

Distributor:

International Food Policy Research Institute (IFPRI)

Access Authority:

IFPRI-Data

Depositor:

IFPRI-KM

Date of Deposit:

2024

Date of Distribution:

2024

Series Name:

Household- and Community-level Surveys

Holdings Information:

https://doi.org/10.7910/DVN/QFQURF

Study Scope

Keywords:

Agricultural Sciences, Social Sciences, baseline studies, farming systems, smallholders, agricultural practices, land use, nutrition, impact assessment, inclusion, poverty alleviation, food security, community involvement, KENYA, EAST AFRICA, AFRICA SOUTH OF SAHARA, AFRICA

Topic Classification:

Agricultural production, Farming systems

Abstract:

In 2023, the Nature Positive Solutions (Nature+) baseline survey was conducted in Kenya, focusing on the Counties of Kisumu, Vihiga, and Kajiado. The study aimed to describe the socio-economic conditions and agricultural systems in these areas, providing a baseline assessment to inform ongoing Nature+ interventions. The survey covered 1,502 smallholder farmer households (752 treated and 750 control) across 25 villages. Data collection employed a two-stage sampling technique and assessed various variables, including socio-economic characteristics, agricultural practices, land use, nutrition, and adoption of Nature+ practices. This data will support the evaluation of Nature+'s impacts on inclusion, poverty reduction, food security, livelihoods, and environmental sustainability. Additionally, the survey included interviews with 1056 workers, covering socio-demographic characteristics, contract types, forced labor, harassment, workplace health and safety, wages, and overtime. All monetary variables are expressed in Kenyan Shilling (KSH).

Time Period:

2023-2023

Date of Collection:

2023-05-2023-07

Country:

Viet Nam

Geographic Unit(s):

Villages

Unit of Analysis:

Household

Unit of Analysis:

Worker

Universe:

Smallholder farmer in Kisumu, Vihiga, and Kajiado

Kind of Data:

sample survey data (SSD)

Methodology and Processing

Time Method:

Cross-section

Sampling Procedure:

Please refer to: <a href="https://hdl.handle.net/10568/149119">Nature-Positive Solutions Initiative Baseline Evaluation Survey Report: Kenya</a>

Mode of Data Collection:

In-person interview

Type of Research Instrument:

Structured questionnaire

Sources Statement

Data Access

Citation Requirement:

International Food Policy Research Institute (IFPRI); Kula Vyema Centre (KVC). 2024. Nature+ Quantitative Baseline Household & Worker Survey, Kenya. Washington, DC: IFPRI [dataset]. <a href="https://doi.org/10.7910/DVN/QFQURF">https://doi.org/10.7910/DVN/QFQURF</a>. Harvard Dataverse. Version 1.

Disclaimer:

IFPRI adheres to the principle of unrestricted public access to its own final research outputs and will make such outputs freely available. The Institute encourages the use of this dataset; for detailed information on its use, please refer to <a href="https://www.ifpri.org/intellectual-property-policy">IFPRI’s Intellectual Property Policy</a>. The data files in this dataset are unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. IFPRI’s decision not to alter the contents of the data files means that the user of these files will need to take care in handling missing observations, outliers, and violations of logical consistency. The data are provided ‘as is’ and in no event shall IFPRI be liable for any damages resulting from the use of the data. While great effort was taken to obtain high-quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way.

Other Study Description Materials

Related Studies

<a href="https://doi.org/10.7910/DVN/PZVGOH">Nature+ Quantitative Baseline Household and Worker Survey, Viet Nam</a>

Related Publications

Citation

Title:

Boukaka, Sedi-Anne; Azzarri, Carlo; and Davis, Kristin E. 2024. Nature-Positive Solutions Initiative Baseline Evaluation Survey Report: Kenya. CGIAR Initiative on Nature-Positive Solutions Survey Report July 2024. Washington, DC: International Food Policy Research Institute.

Identification Number:

10568/149119

Bibliographic Citation:

File Description--f10421821

File: A_hhroster_employment.tab

Number of cases: 8172
No. of variables per record: 39
Type of File: text/tab-separated-values

Notes:

UNF:6:xcgnMKlkEVlyGxZICXEYMA==

Survey

File Description--f10421820

File: B_selfemployment.tab

Number of cases: 796
No. of variables per record: 16
Type of File: text/tab-separated-values

Notes:

UNF:6:VW6NJk5jxGGRV63M0e4gKg==

Survey

File Description--f10649994

File: C1_parcel_main.tab

Number of cases: 2535
No. of variables per record: 29
Type of File: text/tab-separated-values

Notes:

UNF:6:ytL3GYMHUyiQcO5IcFU7XA==

Survey

File Description--f10649998

File: C2_parcel_minor.tab

Number of cases: 2536
No. of variables per record: 29
Type of File: text/tab-separated-values

Notes:

UNF:6:xUpsMw+39x8HfVDWS1jPDg==

Survey

File Description--f10649995

File: C3_parcel_12m.tab

Number of cases: 342
No. of variables per record: 29
Type of File: text/tab-separated-values

Notes:

UNF:6:7i9xwN/Wf5dbzLcjuHgBCQ==

Survey

File Description--f10421823

File: C_parcelid.tab

Number of cases: 2873
No. of variables per record: 33
Type of File: text/tab-separated-values

Notes:

UNF:6:uaU8ujXljE734yWvCURAzg==

Survey

File Description--f10421825

File: D1_crop_main.tab

Number of cases: 7955
No. of variables per record: 67
Type of File: text/tab-separated-values

Notes:

UNF:6:3GljgU+C2jNo21p4ICKb4Q==

Survey

File Description--f10421824

File: D2_crop_minor.tab

Number of cases: 3645
No. of variables per record: 58
Type of File: text/tab-separated-values

Notes:

UNF:6:RdNusJYK47NzG7LiZ/SQzQ==

Survey

File Description--f10421826

File: D3_crop_12m.tab

Number of cases: 44
No. of variables per record: 57
Type of File: text/tab-separated-values

Notes:

UNF:6:nSCA4ZBUrwKXl/9MXqQwug==

Survey

File Description--f10421866

File: E_pollination.tab

Number of cases: 1857
No. of variables per record: 4
Type of File: text/tab-separated-values

Notes:

UNF:6:S25lew5bN5AVQQ+vWei2ow==

Survey

File Description--f10649997

File: F1_livestock.tab

Number of cases: 3453
No. of variables per record: 34
Type of File: text/tab-separated-values

Notes:

UNF:6:6oITwgOesyfAf0sBKJUwAw==

Survey

File Description--f10421869

File: F2_livestockprod.tab

Number of cases: 3315
No. of variables per record: 12
Type of File: text/tab-separated-values

Notes:

UNF:6:AdZ+f8z6DLL3Hcb2u3uy2g==

Survey

File Description--f10421855

File: G_NPS.tab

Number of cases: 3890
No. of variables per record: 16
Type of File: text/tab-separated-values

Notes:

UNF:6:SJOGxs8kmfyEmj5sz4rBVg==

Survey

File Description--f10421857

File: H_hired_worker.tab

Number of cases: 2014
No. of variables per record: 10
Type of File: text/tab-separated-values

Notes:

UNF:6:h4TfFzLoJm/l1QQARlC4hg==

Survey

File Description--f10421853

File: I_transfers.tab

Number of cases: 9012
No. of variables per record: 10
Type of File: text/tab-separated-values

Notes:

UNF:6:vx98vdLf7J3IdUObkzeT5w==

Survey

File Description--f10421864

File: J_otherincome.tab

Number of cases: 19525
No. of variables per record: 8
Type of File: text/tab-separated-values

Notes:

UNF:6:vHRFajGvMTQk5Q4tt9uqbg==

Survey

File Description--f10421862

File: K_foodcons.tab

Number of cases: 23319
No. of variables per record: 7
Type of File: text/tab-separated-values

Notes:

UNF:6:DNUCQwX8PAMKQaAjK0WHTA==

Survey

File Description--f10421868

File: L1_nonfood_7days.tab

Number of cases: 3225
No. of variables per record: 3
Type of File: text/tab-separated-values

Notes:

UNF:6:TypVZiMmGcRP8hWU0EE/Dg==

Survey

File Description--f10421863

File: L2_nonfood_30days.tab

Number of cases: 9758
No. of variables per record: 3
Type of File: text/tab-separated-values

Notes:

UNF:6:6jJmb9uEKts63IDM9s/9mw==

Survey

File Description--f10421854

File: M_assets.tab

Number of cases: 17157
No. of variables per record: 14
Type of File: text/tab-separated-values

Notes:

UNF:6:NwgN/IqYek9joKtIz1pZoQ==

Survey

File Description--f10421871

File: N_wateruse.tab

Number of cases: 1948
No. of variables per record: 7
Type of File: text/tab-separated-values

Notes:

UNF:6:9/gqbMTN83g9GfBWLab98g==

Survey

File Description--f10421865

File: O_energy_use.tab

Number of cases: 151
No. of variables per record: 8
Type of File: text/tab-separated-values

Notes:

UNF:6:Bm/HaTZkSgX6F19fnJ95lA==

Survey

File Description--f10421870

File: P_fueluse.tab

Number of cases: 12016
No. of variables per record: 8
Type of File: text/tab-separated-values

Notes:

UNF:6:p4DOv/V8WHezPJ1T6uqi2g==

Survey

File Description--f10421858

File: Q_transport.tab

Number of cases: 1430
No. of variables per record: 4
Type of File: text/tab-separated-values

Notes:

UNF:6:lhL6SWxoFLfutIWmD40tJQ==

Survey

File Description--f10421867

File: R_waste.tab

Number of cases: 2761
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:xXGFYOxwNCRXgy0JvBZ+8A==

Survey

File Description--f10421856

File: S_incidents.tab

Number of cases: 1502
No. of variables per record: 8
Type of File: text/tab-separated-values

Notes:

UNF:6:sAjuLjjuBMkuYRThxrhUCw==

Survey

File Description--f10421859

File: T_shocks.tab

Number of cases: 3180
No. of variables per record: 11
Type of File: text/tab-separated-values

Notes:

UNF:6:lDfLfJOQnXgAecuWsUkgSw==

Survey

File Description--f10421861

File: U_social.tab

Number of cases: 1502
No. of variables per record: 3
Type of File: text/tab-separated-values

Notes:

UNF:6:bp+oA/QI7e/HBfYkWyUjaA==

Survey

File Description--f10415405

File: _CONVFAC_area.tab

Number of cases: 6
No. of variables per record: 3
Type of File: text/tab-separated-values

Notes:

UNF:6:5AEdAbF9n1GUpwf6qQhZVw==

Survey

File Description--f10415404

File: _CONVFAC_crop.tab

Number of cases: 276
No. of variables per record: 4
Type of File: text/tab-separated-values

Notes:

UNF:6:2lslyXk6dQpuwqHleZRLpw==

Survey

File Description--f10415406

File: _CONVFAC_food.tab

Number of cases: 386
No. of variables per record: 4
Type of File: text/tab-separated-values

Notes:

UNF:6:sza3ShJ3OrIERd4aqAFJcQ==

Survey

File Description--f10650023

File: _Cover.tab

Number of cases: 1502
No. of variables per record: 16
Type of File: text/tab-separated-values

Notes:

UNF:6:ywnM04kzmFzy+U98lswtAg==

Survey

File Description--f10421875

File: Worker_B_general.tab

Number of cases: 1056
No. of variables per record: 20
Type of File: text/tab-separated-values

Notes:

UNF:6:rx+c0BdVh9cUvOW4j1ZfPg==

Survey

File Description--f10421877

File: Worker_C_contract.tab

Number of cases: 1056
No. of variables per record: 24
Type of File: text/tab-separated-values

Notes:

UNF:6:81pBGnoopaF/XTIgzc5Seg==

Survey

File Description--f10421878

File: Worker_D1_benefits.tab

Number of cases: 1056
No. of variables per record: 10
Type of File: text/tab-separated-values

Notes:

UNF:6:NNpdoJEPq08Iyxyq/vtB2A==

Survey

File Description--f10421873

File: Worker_D2_benefits.tab

Number of cases: 1389
No. of variables per record: 4
Type of File: text/tab-separated-values

Notes:

UNF:6:SciLVLEryA7ZTMQUrhh4qQ==

Survey

File Description--f10421876

File: Worker_E_workingtime.tab

Number of cases: 1056
No. of variables per record: 27
Type of File: text/tab-separated-values

Notes:

UNF:6:juonebl3zjN5xih7yLjl6w==

Survey

File Description--f10421879

File: Worker_F_relationemployer.tab

Number of cases: 1056
No. of variables per record: 13
Type of File: text/tab-separated-values

Notes:

UNF:6:nu2nWlHwJXhIvXfdCfkN5g==

Survey

File Description--f10421880

File: Worker_G_treatment.tab

Number of cases: 1056
No. of variables per record: 23
Type of File: text/tab-separated-values

Notes:

UNF:6:WEEuvVqbpqFJgWt2U75wWA==

Survey

File Description--f10421874

File: Worker_H_health.tab

Number of cases: 1056
No. of variables per record: 25
Type of File: text/tab-separated-values

Notes:

UNF:6:mttLss/cYTNmUSz55Pzn8g==

Survey

File Description--f10421872

File: Worker_I_training.tab

Number of cases: 1056
No. of variables per record: 14
Type of File: text/tab-separated-values

Notes:

UNF:6:SUnzlyHu/J4rxFLnwl8rwg==

Survey

File Description--f10421927

File: A_hhroster_employment_codebook.tab

Number of cases: 246
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:KFU32eNZDxBGtOnYc1pH2Q==

File Description--f10421920

File: B_selfemployment_codebook.tab

Number of cases: 183
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:GP8STXs7fplCmTHJ2nyZ2g==

File Description--f10650013

File: C1_parcel_main_codebook.tab

Number of cases: 41
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:6tJcJheIg5z2USV0wrMXqg==

File Description--f10650014

File: C2_parcel_minor_codebook.tab

Number of cases: 41
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:+kK9NW2qJqwPaO6kc2YWdQ==

File Description--f10650015

File: C3_parcel_12m_codebook.tab

Number of cases: 41
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:EnSpqzCbMs+lMw5r0vaf2g==

File Description--f10421924

File: C_parcelid_codebook.tab

Number of cases: 142
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:Cnjxp05ahwE2xG02XUuH9A==

File Description--f10421937

File: D1_crop_main_codebook.tab

Number of cases: 1357
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:0m/Z7+pK7IL2/NNhf0Vdew==

File Description--f10421936

File: D2_crop_minor_codebook.tab

Number of cases: 1304
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:0uvxNHrLYy7MA4tVD97Flg==

File Description--f10421931

File: D3_crop_12m_codebook.tab

Number of cases: 959
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:90UT3Xe/dsc8o4kO8IfLwA==

File Description--f10421933

File: E_pollination_codebook.tab

Number of cases: 51
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:1gQrDswQkuOQHO3bJ5XfGQ==

File Description--f10650016

File: F1_livestock_codebook.tab

Number of cases: 142
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:m3hv7lQtdvzWA9Pa4OMpmw==

File Description--f10421935

File: F2_livestockprod_codebook.tab

Number of cases: 82
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:Ih7DNLLuCmrrL8fgdJq3ng==

File Description--f10421930

File: G_NPS_codebook.tab

Number of cases: 195
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:WsElVaFAXb3pH/25TleCfg==

File Description--f10421941

File: H_hired_worker_codebook.tab

Number of cases: 25
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:v3mEisetWYzq8RlnjftP7A==

File Description--f10421938

File: I_transfers_codebook.tab

Number of cases: 106
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:3r+aLAhWsjYO6hGUFwWzIQ==

File Description--f10421940

File: J_otherincome_codebook.tab

Number of cases: 113
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:iRgkc9xHekn0JHEE/qx6Fw==

File Description--f10421932

File: K_foodcons_codebook.tab

Number of cases: 105
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:aHReiF3bgvzZupW/U0+YPA==

File Description--f10421957

File: L1_nonfood_7days_codebook.tab

Number of cases: 8
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:PLMBxhJbqopmLju9R66Kbw==

File Description--f10421950

File: L2_nonfood_30days_codebook.tab

Number of cases: 29
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:1LZgUMUHNVfSlkSjeRLYpg==

File Description--f10421949

File: M_assets_codebook.tab

Number of cases: 244
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:50VQLSZgGzbNUFnbP/S5Pg==

File Description--f10421947

File: N_wateruse_codebook.tab

Number of cases: 19
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:z3SIluXopF42cMkzVzaZXw==

File Description--f10421948

File: O_energy_use_codebook.tab

Number of cases: 18
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:F45XwKsnUBaEFl6PySFBMQ==

File Description--f10421953

File: P_fueluse_codebook.tab

Number of cases: 30
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:b0yK2TrstLMOeWOVnM4rFg==

File Description--f10421956

File: Q_transport_codebook.tab

Number of cases: 10
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:XWauAWqInScE0rpSIkUSLg==

File Description--f10421952

File: R_waste_codebook.tab

Number of cases: 26
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:xXaFnKAqxceUZ8A0tlsU7A==

File Description--f10421951

File: S_incidents_codebook.tab

Number of cases: 17
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:kZiRaxTvbOXzoH6Qkj7QlQ==

File Description--f10421955

File: T_shocks_codebook.tab

Number of cases: 59
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:8+QcZB3Ywv70Ga9q/eNZWA==

File Description--f10421954

File: U_social_codebook.tab

Number of cases: 5
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:c6xTAKyaRCn7dlrxPJy5SQ==

File Description--f10421928

File: _CONVFAC_area_codebook.tab

Number of cases: 9
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:qZ4QYkPSZGDgdWvEE8KSiQ==

File Description--f10421929

File: _CONVFAC_crop_codebook.tab

Number of cases: 119
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:ez19PC/P1j71kQIssC5xlg==

File Description--f10421925

File: _CONVFAC_food_codebook.tab

Number of cases: 124
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:iyk+zkNPSK7NyQD/w5XSAw==

File Description--f10650012

File: _Cover_codebook.tab

Number of cases: 56
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:MJZhLIrRXuggoexNVvmwiw==

File Description--f10421967

File: Worker_B_general_codebook.tab

Number of cases: 75
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:OgWhnrGFCqlIiiEYytbemg==

File Description--f10421968

File: Worker_C_contract_codebook.tab

Number of cases: 65
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:P4SkQAO7OkhRUtmzj0/ehg==

File Description--f10421961

File: Worker_D1_benefits_codebook.tab

Number of cases: 24
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:+yOAH5Sr/YROMBgx7SXCRw==

File Description--f10421964

File: Worker_D2_benefits_codebook.tab

Number of cases: 4
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:mFbs3Y3FPc3CpVQjTUxIKg==

File Description--f10421966

File: Worker_E_workingtime_codebook.tab

Number of cases: 83
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:tLb2uGm4uJYbrzfxA/RxLg==

File Description--f10421960

File: Worker_F_relationemployer_codebook.tab

Number of cases: 37
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:81SlGaz5dVgKueCNMv7YHg==

File Description--f10421962

File: Worker_G_treatment_codebook.tab

Number of cases: 83
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:08JvTqmYv/zAV98wIyjYFw==

File Description--f10421963

File: Worker_H_health_codebook.tab

Number of cases: 82
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:9o4LtgZXKqvZ5gzzgRuInw==

File Description--f10421965

File: Worker_I_training_codebook.tab

Number of cases: 26
No. of variables per record: 5
Type of File: text/tab-separated-values

Notes:

UNF:6:/kd8yqOwCgn45xZCGRnANQ==

Variable Description

List of Variables:

hhid - household identification number
id_code - Household member ID code
sex - AQ1. What is the sex of ${hhname} ?
relation_head - AQ2. What is ${hhname}'s relation to the head of household?
age - AQ3. How old is ${hhname} ? (in completed years).
education - AQ4. What is ${hhname}'s highest level of education attained?
attend_school - Q5. Has ${hhname}'s attended school in the last 12 months ?
school_hrs - Q6. How many hours per week did ${hhname}'s on average attend school?
employment_job - AQ7. In the last seven days, did ${hhname} do any work for a wage, salary, comm
paid_job - AQ8. In the last seven days did ${hhname} run or do any kind of farming or ther
unpaid_job - AQ9. In the last seven days, did ${hhname} help unpaid in a family business (ei
forced_labor - AQ10. in the last 12 months has ${hhname} got involved in an activity where s/h
absent_paidjob - AQ11. In the last seven days, were ${hhname} absent from a paid job or a busine
job_activity - AQ12. Describe the main activity of establishment or business where ${hhname} w
job_isic - What is the type of establishment /business activity where ${hhname} was involv
cash_earned - AQ13_c. The last time you were paid, how much did ${hhname} receive in cash?
inkind_earned - AQ13_k. The last time you were paid, how much did ${hhname} receive in-kind?
total_earning - Q13. The last time the member was paid, how much did they receive in total?
pay_period - AQ14. What period did this payment for ${hhname} cover?
months_worked - AQ15. How many months did ${hhname} work in this job during the last 12 months?
days_worked - AQ16. How many days per month did ${hhname} work in this job during those month
hours_worked - AQ17. How many hours per day did ${hhname} work in your job during the last mon
farming_involve - AQ18. Were ${hhname}'s involved in any farming activity over the last 12 months
spraying_pesticides - AQ19. Does ${hhname}'s ever get involved in spraying pesticides/herbicides?
pesticide_hrs - AQ20. How many hours per week would ${hhname}'s be working on spraying pesticid
use_machete - AQ21. Does ${hhname}'s ever use machete, tractor or plough?
machete_hrs - AQ22. How many hours per week would ${hhname}'s on average use this type of equ
livestock_herding - AQ23. Does ${hhname}'s help with livestock herding on the farm?
herding_hrs - AQ24. How many hours per week would ${hhname}'sbe working on livestock herding
horse_irrigation - AQ25. Does ${hhname}'s help with automatic or horse irrigation on the farm?
horseirrigation_hrs - AQ26. How many hours per week would ${hhname}'s be working on automatic or hose
bucket_irrigation - AQ27. Does ${hhname}'s help with bucket irrigation on the farm?
bucketirrigation_hrs - AQ28. How many hours per week would ${hhname}'s be helping with bucket irrigati
manual_weeding - AQ29. Does ${hhname}'s help with manual weeding on the farm?
manualweed_hrs - AQ30. How many hours per week would ${hhname}'s be working on manual weeding on
manual_harvesting - AQ31. Does ${hhname}'s help with manual harvesting on the farm?
manualharvesting_hrs - AQ32. How many hours per week would ${hhname}'s be working on manual harvesting
carry_bags - AQ33. Does ${hhname}'s help with carrying bags or cans manually on the farm?
bags_hrs - AQ34. How many hours per week would ${hhname}'s be helping with carrying bags o
hhid - household identification number
buspos - ID of the household member involved in non farming business
business_kind - In the last 12 months, did ${business_hhname} do any kind of farming or related
bussize - Number of nonfarming business or selft employment activities where ${business_h
bus_id - Business ID
business_name - Q1. What type of business/employment activity did the member work?
business_isic - ISIC category
business_role - Q2. What was the role of this member in this business activity?
buss_decision - Q3. Did the member take any deciosions on how to run the business?
buss_income - Q4. What was the expected/actual income from the business (KES)?
busspay_period - Q4. What period was this payment for?
buss_input - BQ5_c.How much expenses in cash or inkind have ${business_hhname}/your househol
bussinput_period - BQ5_cp. What period did ${business_hhname}/ your household spend this cash for
buss_months - Q6. How many months did the member work in last 12 months
buss_days - Q7. How many days per month did the member work on this business activity in the
buss_hours - Q8. How many hours per day did the member work on this business activity?
hhid - household identification number
parcelid - parcelID
parcel_main - Parcels used in the main season
parceluses - Q8. Which use did you dedicate this parcel to in the main season?
parcelrent_received_cash - Q10_c. How much in cash (KES) did you receive from renting out/share cropping ou
parcelrent_received_inkind - Q10_i. How much inkind (KES) did you receive from renting out/share cropping out
parcelrent_received - Q10. How much in total (KES) did you receive from renting out the parcel?
first_decmaker_parceldays - Q11_1. How many days did the first decision maker work on the parcel in the main
first_decmaker_parcelhrs - Q12_1. Average hours per day the primary decision maker work on this parcel in m
second_decmaker_parceldays - Q11_2. How many days did the 2nd decision maker work on the parcel in the main s
second_decmaker_parcelhrs - Q12_2. Average hours per day the 2nd decision maker work on this parcel in main
third_decmaker_parceldays - Q11_3. How many days did the 3rd decision maker work on the parcel in the main s
third_decmaker_parcelhrs - Q12_3. Average hours per day the 3rd decision maker work on this parcel in main
othmember_work_parcel - Q13. Did any other household member work on this parcel a part from decision mak
total_othmembers_work - Q14. How many other household members worked on the parcel excluding decision ma
othmembers_work_parceldays - Q15. How many days on average did each members work on the parcel?
othmembers_work_parcelhrs - Q16. How many hrs per day on average did each members work on the parcel?
hiredlabor_parcel - Q17. Did you hire any person to work on this parcel in the main season?
total_hiredlabor - Q18. How many hired labor worked on the parcel in the main season?
hiredlabor_parceldays - Q19. How many days on average did each hired worker work on the parcel?
hiredlabor_parcelhrs - Q20. How many hrs per day on average did each hired worker work on the parcel?
cashpay_hiredlabor - Q21_c. What was the total cash payment to the hired workers?
inkindpay_hiredlabor - Q21_i. What was the total inkind payment to the hired workers?
totpay_hiredlabor - Total amount paid for hired workers in this parcel
freelabor_parcel - Q22. Did other people work as free/exchange labor this parcel?
total_freelabor - Q23. How many free labor worked on the parcel in the main season?
freelabor_parceldays - Q24. How many days on average did each free worker work on the parcel?
freelabor_parcelhrs - Q25. How many hrs per day on average did each free worker work on the parcel?
equipment_rental - Q35 Total out of pocket cost (KES) for renting of agricultural equipment
hhid - household identification number
parcelid - parcelID
parcel_minor - Parcels used in the minor season
parceluses_minor - Q8. Which use did you dedicate this parcel to in the minor season?
minor_bq9_cash - CQ9_c. How much in cash (KES) did you receive from renting out/share cropping ou
minor_bq9_inkind - CQ9_i. How much in inkind did you receive from renting out/share cropping out $
minor_bq9_total
minor_bq10_1 - CQ10_1. On how many days on average has the primary decision maker, ${first_dec
minor_bq11_1 - CQ11_1. How many hours per day on average did the primary decision maker, , ${f
minor_bq10_2 - CQ10_2. On how many days on average has the secondary decision maker, , ${secon
minor_bq11_2 - CQ11_2. How many hours per day on average did the second main decision maker, ,
minor_bq10_3 - CQ10_3. On how many day on average has the third main decision maker, , ${third
minor_bq11_3 - CQ11_3. How many hours per day on average did the third decision maker, , ${thi
minor_bq12 - CQ12. In addition to the decision maker(s), did any other household member work
minor_bq13 - CQ13. How many household members excluding the decision makers worked on ${parc
minor_bq14 - CQ14. How many days has each of the household members worked on ${parcel_minor}
minor_bq15 - CQ15. In the days worked how many hours per day on average has each household me
minor_bq16 - CQ16. Did you hire any person to work on ${parcel_minor} parcel between October
minor_bq17 - CQ17. How many hired workers excluding the decision makers work on ${parcel_min
minor_bq18 - CQ18. How many days has each of the hired workers worked on ${parcel_minor} par
minor_bq19 - CQ19. In the days worked how many hours per day on average has each hired worker
minor_bq20_cash - CQ20_c. What was the total amount of cash payment to the hired workers in ${par
minor_bq20_inkind - CQ20_i. What was the total amount of in-kind payment to the hired workers in ${
minor_bq20_total - Total amount paid for hired workers in this parcel
freelabor_minor - CQ21. Did any other people workon ${parcel_minor} parcel as free/exchange labor
minor_bq22 - CQ22. How many free/exchange workers worked on ${parcel_minor} parcel between O
minor_bq23 - CQ23. How many days has each of the free/exchange workers worked on ${parcel_mi
minor_bq24 - CQ24. In the days worked how many hours per day on average has each free/exchang
equipment_rental_minor - CQ35. What was the out-of-pocket total cost (KES) for renting of agricultural eq
hhid - household identification number
parcelid - parcelID
parcel_12m - Parcels used in the 12month season
parceluses_12m - Q8. Which use did you dedicate this parcel to in the minor season?
bq9_cash_12m - Q9_c. How much in cash (KES) did you receive from renting out/share cropping out
bq9_inkind_12m - Q9_i. How much inkind (KES) did you receive from renting out/share cropping out
bq9_total_12m - Q9. How much in total (KES) did you receive from renting out the parcel?
bq10_1_12m - Q10_1. How many days did the first decision maker work on the parcel in the 12 m
bq11_1_12m - Q11_1. Average hours per day the primary decision maker work on this parcel in 1
bq10_2_12m - Q10_3. How many days did the 3rd decision maker work on the parcel in the minor
bq11_2_12m - Q11_2. Average hours per day the 2nd decision maker work on this parcel in 12 mo
bq10_3_12m - CQ10_3. On how many days has the third main decision maker, , ${third_decmakern
bq11_3_12m - Q11_3. Average hours per day the 3rd decision maker work on this parcel in 12 mo
bq12_12m - Q12. Did any other household member work on this parcel a part from decision mak
bq13_12m - Q13. How many other household members worked on the parcel excluding decision ma
bq14_12m - Q14. How many days on average did each members work on the parcel?
bq15_12m - Q15. How many hrs per day on average did each members work on the parcel?
bq16_12m - Q16. Did you hire any person to work on this parcel in the 12 months?
bq17_12m - Q17. How many hired labor worked on the parcel in the 12 months?
bq18_12m - Q18. How many days on average did each hired worker work on the parcel?
bq19_12m - Q19. How many hrs per day on average did each hired worker work on the parcel?
bq20_cash_12m - Q20_c. What was the total cash payment to the hired workers?
bq20_inkind_12m - Q20_i. What was the total inkind payment to the hired workers?
bq20_total_12m - Total amount paid for hired workers in this parcel
freelabor_12m - Q21. Did other people work as free/exchange labor this parcel?
bq22_12m - Q22. How many free labor worked on the parcel in the 12 months?
bq23_12m - Q23. How many days on average did each free worker work on the parcel?
bq24_12m - Q24. How many hrs per day on average did each free worker work on the parcel?
equipment_rental12m - Q35 Total out of pocket cost (KES) renting agricultural equipment during the 12m
hhid - household identification number
parcelid - Parcel ID
parcel - Q0. Name of the parcel
areaha - Area of parcel in HA
timeto_parcel - Q2. How long does it take to get to the parcel (minutes one way)?
parcel_acquisition - Q4. How did your household acquire this parcel?
parcelrent_cash - Q5_c. How much in cash (KES) paid to rent in /share crop in parcel in the last 1
parcelrent_inkind - Q5_i. How much inkind (KES) paid to rent in /share crop in parcel in the last 12
parcel_rentp - Total amount paid to rent in/share crop in the parcel for last 12 months
parcel_owner - CQ6. Who in the household owns ${parcel} parcel?
parcelowner_memberid1 - Household member Id of first parcel owner
parcelowner_memberid2 - Household member Id of second parcel owner
pdecisionmakers - How many household members are involved in decision making for ${parcel} parcel
first_decmaker_parcel - Q6_1. Who in the household is the main decision maker for this parcel?
second_decmaker_parcel - Q6_2. Who in the household is the 2nd main decision maker for this parcel?
third_decmaker_parcel - Q6_3. Who in the household is the 3rd main decision maker for this parcel?
soil_erosion - CQ33_1. Do you have soil erosion on parcel ${parcel}?
erosion_control - CQ33_2. What 3 types of measures are you using to control soil erosion on ${par
erosion_control_1 - Stone terraces
erosion_control_2 - Fanya juu/chini
erosion_control_3 - Other terrace
erosion_control_4 - Grass strips/barriers (e.g, vetiver grass)
erosion_control_5 - Drainage/ditches
erosion_control_6 - Trash lines
erosion_control_7 - Planting trees
erosion_control_8 - Ripping
erosion_control_9 - Contour bands
erosion_control_10 - Market ridges
erosion_control_11 - Ditches/swales
erosion_control_12 - Box ridges
erosion_control_0 - None
maintanance_labor - CQ34. Last 12 months, how many total labor days were spent on construction and m
changing_parceluses - Q7. Did you change use of this parcel in the last 12 months?
hhid - household identification number
parcelid - parcelID
parcel_cultivated - Name of the cultivated parcel in the main season
cropid - Crop names
varietyid - Crop variety ID
crop_variety - Q1a. What variety of crop did you mostly grow in this parcel?
intercrop - Q2. Was this crop grown in this parcel an intercrop or pure stand?
crop_proportion - Q7. Approximately what proportion of the parcel was planted with this crop?
cropareaha - Area of parcel with the crop in HA
uniform_crop - Have you planted the same crop and same variety in the parcel for last 12 months
fruit_tree - Q2. Is this crop a fruit tree?
tree_variety - Q6. Please list the variety/ies of this ${cropname} you cultivate on this ${pa
treevar_type - Is the tree in this parcel native or exotic
mainuse_tree - Q3. What is the main use of the tree in the parcel?
trees2018 - Q4. Number of trees planted on the parcel since 2018
trees2020 - Q5. Number of trees planted in the parcel since 2020
seedtype - Q9. What type of seed was mostly used for this crop?
seed_reason - DQ10. Why did you choose to use these seeds for ${cropname} in this${parcel_cu
seedpurchase - Q11. Did you purchase any seeds used for this crop?
seed_source - D2Q12. What was/were the source(s) of seeds for this ${cropname} in this${parc
seed_source_1 - Seed source: Local market
seed_source_2 - Seed source: Social network
seed_source_3 - Seed source: Agro-input dealer
seed_source_4 - Seed source: Community seed bank
seed_source_5 - Seed source: County government
seed_source_6 - Seed source: NGO
seed_source_7 - Seed source: KCSAP/Ministry of Agriculture
seed_pur_kg - How much seed used were purchased? (Kg)
seed_value - Q15. How much did you spend on the seeds that you purchased (KES)?
free_seeds - q16. Did you receeive any seeds for free?
seed_free_kg - Quantity of seeds received for free (Kg)
free_seedsource - Q19. From whom did you obtain free seeds?
leftover_seeds - Q20. Was any of the seeds used in this parcel a leftover from the previous seaso
seed_leftover_kg - Left over seed quantity (Kg)
seedavail_time - Q25. At what time was seed for this crop available?
seed_clean - Q26. Were the seeds for the crop on this parcel clean
seed_germination - D2Q27. How was the germination of the seeds of ${cropname} in this${parcel_cul
lost_seeds - D2Q28. Have you lost seeds for this ${cropname} in this${parcel_cultivated} pa
reason_lostseed - D2Q29. What was the main reason for lost seeds for ${cropname} in this${parcel
organicfert_use - Q7. Did you use Organic Fertilizer on this crop in this parcel?
organic_fertilizer - Q8. What type of Organic Fertilizer did you use on this crop?
orgfert_kg - How much Organic Fertilizer did you use on this crop? (Kg)
organicfert_value - 10. How much (KES) did you spend in oganic fertilizer used on this crop?
inorganicfert_use - Q11. Did you use any inorganic fertilizer on this crop?
inorganic_fert1 - Q12_1. What was first inorganic fertilizer used on this crop
inorganic_fert2 - Q12_2. What was 2nd inorganic fertilizer used on this crop
inorganic_fert3 - Q12_3. What was 3rd inorganic fertilizer used on this crop
inorgfert_kg - Q13. How much inorganic fertilizer did you use on this crop (Kg)?
inorganic_value - Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?
pesticide_use - Q15. Did you use any pesticide on this crop?
pesticide1 - Q17_1. What was first brand of pesticide used on this crop
pesticide2 - Q17_2. What was 2nd brand of pesticide used on this crop
pesticide3 - Q17_4. What was 3rd brand of pesticide used on this crop
pesticide4 - Q17_4. What was 4th brand of pesticide used on this crop
pest_kg - Q18. How much Pesticide did you use on this crop (Kg)?
pesticide_value - Q19. How much (KES) did you spend in pesticide used on this crop?
herbicide_use - Q20. Did you use any herbicides on this crop?
herbicide1 - Q21_1. What was first herbicide used on this crop
herbicide2 - Q21_2. What was 2nd herbicide used on this crop
herb_kg - Q22. How much Herbicide did you use on this crop?
herbicide_value - Q23. How much did you spend in Herbicide used on this crop?
herbicide_trend - Q23c. What is the trend of pesticides and herbicides application on ${cropname}
harvest_kgs - Harvest in Kgs
produce_value - DQ21. What was the estimated total value (KES) of the ${cropname} crop harveste
harvest_sold_kg - Harvest sold in Kgs
unitprice_kg - Price per Kg of produce sold
lost_harvest - D2Q34. How much ${cropname} harvested from ${parcel_cultivated} did you lose a
hhid - household identification number
parcelid - parcelID
parcel_cultivated_minor - Name of the cultivated parcel in the minor season
cropid - Name of the crop planted in the minor season
varietyid - Crop variety ID
crop_variety_minor - Q1a. What variety of crop did you mostly grow in this parcel?
intercrop_minor - Q6. Was this crop grown in this parcel an intercrop or pure stand?
crop_proportion - Q7. Approximately what proportion of the parcel was planted with this crop?
cropareaha - Area of parcel with the crop in HA
seedtype_minor - Q9. What type of seed was mostly used for this crop?
seed_reason_minor - DQ10. Why did you choose to use these seeds for ${cropname_minor} in this${par
seedpurchase_minor - Q11. Did you purchase any seeds used for this crop?
seed_source_minor - D2Q12. What was/were the source(s) of seeds for this ${cropname_minor} in this\
seed_source_minor_1 - Seed source: Local market
seed_source_minor_2 - Seed source: Social network
seed_source_minor_3 - Seed source: Agro-input dealer
seed_source_minor_4 - Seed source: Community seed bank
seed_source_minor_5 - Seed source: County government
seed_source_minor_6 - Seed source: NGO
seed_source_minor_7 - Seed source: KCSAP/Ministry of Agriculture
seed_pur_kg - How much seed used were purchased? (Kg)
seed_value - Q15. How much did you spend on the seeds that you purchased (KES)?
free_seeds_minor - q16. Did you receeive any seeds for free?
seed_free_kg - Quantity of seeds received for free (Kg)
free_seedsource_minor - Q19. From whom did you obtain free seeds?
leftover_seeds_minor - Q20. Was any of the seeds used in this parcel a leftover from the previous seaso
seed_leftover_kg - Left over seed quantity (Kg)
seedavail_time_minor - Q25. At what time was seed for this crop available?
seed_clean_minor - Q26. Were the seeds for the crop on this parcel clean
seed_germination_minor - D2Q27. How was the germination of the seeds of ${cropname_minor} in this${parc
lost_seeds_minor - D2Q28. Have you lost seeds for this ${cropname_minor} in this${parcel_cultivat
reason_lostseed_minor - D2Q29. What was the main reason for lost seeds for ${cropname_minor} in this${
organicfert_use_minor - Q7. Did you use Organic Fertilizer on this crop in this parcel?
organic_fertilizer_minor - Q8. What type of Organic Fertilizer did you use on this crop?
orgfert_kg - How much Organic Fertilizer did you use on this crop? (Kg)
organicfert_value - 10. How much (KES) did you spend in oganic fertilizer used on this crop?
inorganicfert_use - Q11. Did you use any inorganic fertilizer on this crop?
inorganic_fert1 - Q12_1. What was first inorganic fertilizer used on this crop
inorganic_fert2 - Q12_2. What was 2nd inorganic fertilizer used on this crop
inorganic_fert3 - Q12_2. What was 3rd inorganic fertilizer used on this crop
inorganic_fert4 - Q12_2. What was 4th inorganic fertilizer used on this crop
inorgfert_kg - Q13. How much inorganic fertilizer did you use on this crop (Kg)?
inorganic_value - Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?
pesticide_use - Q15. Did you use any pesticide on this crop?
pesticide_value - Q19. How much (KES) did you spend in pesticide used on this crop?
pesticide1 - Q17_1. What was first brand of pesticide used on this crop
pesticide2 - Q17_2. What was 2nd brand of pesticide used on this crop
pesticide3 - Q17_4. What was 3rd brand of pesticide used on this crop
pesticide4 - Q17_4. What was 4th brand of pesticide used on this crop
pest_kg - Q18. How much Pesticide did you use on this crop (Kg)?
herbicide_use - Q20. Did you use any herbicides on this crop?
herbicide_value - Q23. How much did you spend in Herbicide used on this crop?
herbicide1 - Q21_1. What was first herbicide used on this crop
herb_kg - Q22. How much Herbicide did you use on this crop?
harvest_kgs_minor - Harvest in Kgs
produce_value_minor - DQ25. What was the estimated total value (KES) of the ${cropname_minor} crop ha
harvest_sold_kg - Harvest sold in Kgs
unitprice_kg - Price per Kg of produce sold
hhid - household identification number
parcelid - parcelID
parcel_cultivated - Name of the cultivated parcel in the 12 months
cropid - Name of the crop planted in the 12 months
fruit_tree_12m - Q2. Is this ${cropname_12m} on ${parcel_cultivated_12m} parcel a fruit tree?
varietyid - crop variety IDs
crop_variety_12m - Q1a. What variety of crop did you mostly grow in this parcel?
cropvarname_12m - Crop variety name
intercrop_12m - Q6. Was this crop grown in this parcel an intercrop or pure stand?
crop_proportion - Q7. Approximately what proportion of the parcel was planted with this crop?
cropareaha - Area of parcel with the crop in HA
mainuse_tree_12m - Q3. What is the main use of this${cropname_12m} on this ${parcel_cultivated_12
trees2018_12m - Q4. How many ${cropname_12m} have you planted on ${parcel_cultivated_12m} parc
trees2020_12m - Q5. How many ${cropname_12m} have you planted on ${parcel_cultivated_12m} parc
perennial_season_12m - Was this ${cropname_12m} grown in ${parcel_cultivated_12m} parcel between Marc
seedtype_12m - Q2. What type of seed was mostly used for this crop?
seed_reason_12m - DQ10. Why did you choose to use these seeds for ${cropname_12m} in this${parce
seedpurchase_12m - Q3. Did you purchase any of the seeds?
seed_source_12m - D2Q12. What was/were the source(s) of seeds for this ${cropname_12m} in this${
seed_source_12m_1 - Seed source: Local market
seed_source_12m_2 - Seed source: Social network
seed_source_12m_3 - Seed source: Agro-input dealer
seed_source_12m_4 - Seed source: Community seed bank
seed_source_12m_5 - Seed source: County government
seed_source_12m_6 - Seed source: NGO
seed_source_12m_7 - Seed source: KCSAP/Ministry of Agriculture
seed_pur_kg - How much seed used were purchased? (Kg)
seed_value - Q4. What was the value of all of the seeds that you purchased (KES)?
free_seeds_12m - q16. Did you receeive any seeds for free?
seed_free_kg - Quantity of seeds received for free (Kg)
free_seedsource_12m - Q19. From whom did you obtain free seeds?
leftover_seeds_12m - Q20. Was any of the seeds used in this parcel a leftover from the previous seaso
seed_leftover_kg - Left over seed quantity (Kg)
seedavail_time_12m - Q25. At what time was seed for this crop available?
seed_clean_12m - Q26. Were the seeds for the crop on this parcel clean
seed_germination_12m - D2Q27. How was the germination of the seeds of ${cropname_12m} in this${parcel
lost_seeds_12m - D2Q28. Have you lost seeds for this ${cropname_12m} in this${parcel_cultivated
reason_lostseed_12m - D2Q29. What was the main reason for lost seeds for ${cropname_12m} in this${pa
organicfert_use_12m - Q7. Did you use Organic Fertilizer on this crop in this parcel?
organic_fertilizer_12m - Q8. What type of Organic Fertilizer did you use on this crop?
orgfert_kg - How much Organic Fertilizer did you use on this crop? (Kg)
organicfert_value - 10. How much (KES) did you spend in oganic fertilizer used on this crop?
inorganicfert_use - Q11. Did you use any inorganic fertilizer on this crop?
inorganic_value - Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?
inorganic_fert1 - Inorganic fertilizer
inorgfert_kg - Q13. How much inorganic fertilizer did you use on this crop (Kg)?
pesticide_use - Q15. Did you use any pesticide on this crop?
pesticide_value - Q19. How much (KES) did you spend in pesticide used on this crop?
pesticide1 - Q17_1. What was first brand of pesticide used on this crop
pest_kg - Q18. How much Pesticide did you use on this crop (Kg)?
herbicide_use - Q20. Did you use any herbicides on this crop?
herbicide_value - Q23. How much did you spend in Herbicide used on this crop?
herb_kg - Q22. How much Herbicide did you use on this crop?
harvest_kgs_12m - Harvest in Kgs
produce_value_12m - DQ25. What was the estimated total value (KES) of the ${cropname_12m} crop harv
harvest_sold_kg - Harvest sold in Kgs
unitprice_kg - Price per Kg of produce sold
hhid - household identification number
cropid - Crop ID
bees_importance - E1Q1a. How important is the role of bees in increasing the yield of the ${cropn
nonbees_importance - E1Q1a. How important is the role of other insects in increasing the yield of the
hhid - household identification number
livestockid - Which type of livestock is owned or raised by the howsehold?
livestock_no - Q1. How many of this livestock are owned by the household at present?
livestock_keeping - Q2. Did anyone in the household raise any of this livestock in the last 12 month
first_decmaker_lvstock - Q3_1. Who in the household is the primary decicion maker for this livestock?
second_decmaker_lvstock - Q3_2. Who in the household is the secondary decicion maker for this livestock?
third_decmaker_lvstock - Q3_3. Who in the household is the 3rd decicion maker for this livestock?
fourth_decmaker_lvstock - Q3_4. Who in the household is the 4th decicion maker for this livestock?
first_decmaker_lvstockdays - Q5_1. How many days did the first decision maker work on this livestock in last
first_decmaker_lvstockhrs - Q6_1. Average hours per day the primary decision maker work on this livestock in
second_decmaker_lvstockdays - Q5_2. How many days did the 2nd decision maker work on this livestock in last 12
second_decmaker_lvstockhrs - Q6_2. Average hours per day the 2nd decision maker work on this livestock in las
third_decmaker_lvstockdays - Q5_3. How many days did the 3rd decision maker work on this livestock in last 12
third_decmaker_lvstockhrs - Q6_3. Average hours per day the 3rd decision maker work on this livestock in las
fourth_decmaker_lvstockdays - Q5_3. How many days did the 3rd decision maker work on this livestock in last 12
fourth_decmaker_lvstockhrshrs - Q6_4. Average hours per day the 4th decision maker work on this livestock in las
othmember_work_lvstock - Q7. Did any other household member work on this livestock a part from decision m
total_othmembers_lvstock - Q8. How many other household members worked on this livestock excluding decision
othmembers_work_lvstockdays - Q9. How many days on average did each members work on the livestock?
othmembers_work_lvstockhrs - Q10. How many hrs per day on average did each members work on the livestock?
hiredlabor_lvstock - Q12. Did you hire any person to work on this livestock?
total_hiredlabor_lvstock - Q13. How many hired labor worked on the livestock?
hiredlabor_lvstockdays - Q14. How many days on average did each hired worker work on the livestock?
hiredlabor_lvstockhrs - Q15. How many hrs per day on average did each hired worker work on the livestock
cashpay_hiredlabor_lvstock - Q16_c. What was the total cash payment to the hired workers?
inkindpay_hiredlabor_lvstock - Q16_i. What was the total inkind payment to the hired workers on this livestock?
totpay_hiredlabor_lvstock - Q16. Total amount paid for hired workers in this livestock
freelabor_livestock - Q17. Did other people work as free/exchange labor this livestock?
total_freelabor_lvstock - Q18. How many free labor worked on the livestock?
freelabor_lvstockdays - Q19. How many days on average did each free worker work on the livestock?
freelabor_lvstockhrs - Q20. How many hrs per day on average did each free worker work on the livestock?
lvstock_othcost - Q21 Total out of pocket cost (KES) for raising the livestock in last 12 months
lvstock_numbersold - Q22i. Number of livestock sold in the last 12 months
lvstock_sales - Q22ii. What was the total value (KES) of livestock sold during the last 12 month
hhid - household identification number
livestockid - Which type of livestock is owned or raised by the howsehold?
obtain_livestock_product - Did your household obtain any products from this livestocK?
productid - Livestock product
product_quantity - Q19_2q. What was the total quantity of this product obtained from this livestock
productunit - Q19_2u. What was the unit of measurement of the product?
product_kgs - Product in Kg
productsale_quantity - Q19_3q. What quantity of the obtained product was sold?
productsale_unit - Name of sale unit
productconver_sestimate - How many Kgs is one full ${productunitsale_name} of ${productname}
productsale_kgs - Product sold in KG
lvstock_product_value - Q21. What was the total value (KES) of sales of the product?
hhid - household identification number
npsid - Nature Positive Solution ID
npsinfo_receiver - How many household members received information on ${npsname}?
first_npsinfo_receiver - First receiver of NPS information
second_npsinfo_receiver - Second receiver of NPS information
third_npsinfo_receiver - Third receiver of NPS information
first_npsinfo_decision - first decision maker on NPS
second_npsinfo_decision - second decision maker on NPS
third_npsinfo_decision - third decision maker on NPS
nps_duration - GQ4. For how long has your household been using the ${npsname}?
nps_source - GQ5. From where does your household acquire information (advisory services) abou
nps_source_1 - NPS source: NGO/Other organizations
nps_source_2 - NPS source: Public extension agents/ Ministry of Agriculture
nps_source_3 - NPS source: Relatives/Friends/Neighbors
nps_source_4 - NPS source: Schools or other training events
nps_source_5 - NPS source: Media and Internet
hhid - household identification number
age_worker - HQ1. How old is ${lbname} ? (in completed years).
sex_worker - HQ2. What is the sex of ${lbname} ?
months_worked_worker - HQ3. How many months did ${lbname}'s work on the farm over the last 12 months?
weeks_worked - HQ4. On average during these months worked, how many weeks per month did ${lbna
hours_worked_worker - HQ5. On average during these weeks worked, how many hours per week did ${lbname
help_duration - HQ6. For how long has ${lbname}'s been helping you in the farm?
engagement_type - HQ7. What type of engagement does ${lbname}'s have?
worker_residence - HQ8. Where does ${lbname}'s live now
workervillage - HQ9. Which is the village and address of ${lbname}'s ?
hhid - household identification number
transfer_id - Transfer ID
receive_transfer - IQ1. During the last 12 months, did you or any member of your household receive
transfer_decisionmakers - How many household members were involved in decision making for keeping/using ea
first_decmaker_transfer - Q2_1. Who in the household made primary decicion for keeping /using the earnings
second_decmaker_transfer - Q2_2. Who in the household made secondary decicion for keeping /using the earnin
third_decmaker_transfer - Q2_3. Who in the household was 3rd decicion maker for keeping /using the earning
fourth_decmaker_transfer - Q2_4. Who in the household was 4th decision maker for keeping /using the earning
transfer_cash - Q3. How much cash (KES) did you receive from this source in the last 12 months?
transfer_inkind - Q4. What would be estimated value of inkind (KES) receive from this source in th
hhid - household identification number
incomeid - Income ID
receive_otherincome - Did any household member receive income from this source in the last 12 months?
first_decmaker_income - Q3_1. Who in the household is the primary decicion maker to spend/save income fr
second_decmaker_income - Q3_2. Who in the household is the secondary decicion maker to spend/save income
third_decmaker_income - Q3_3. Who in the household is the 3rd decicion maker to spend/save income from t
fourth_decmaker_income - Q3_4. Who in the household is the 4th decicion maker to spend/save income from t
othincome_cash - Q3. How much cash was received from this source in the last 12 months?
hhid - household identification number
foodid - Food code
foodpurchased_kgs - Purchased food in KGs
foodcost - How much did you spend in food consumed from purchases (KES)?
foodproduced_kgs - Produced food in KGs
foodgifted_kgs - Free or gifted food in KGs
totalfood_kgs - Total quantity of food consumed in KG equivalent
hhid - household identification number
itemid - Nonfood item id
nonfood_cost - Q1_3. How much in total (KES) did you pay for this item?
hhid - household identification number
itemid - Nonfood ID
nonfood_cost - Q1_5. How much in total (KES) did you pay for this item?
hhid - household identification number
assetid - Asset ID
asset_number - Q2. How many of this asset does your household own?
asset_owners - How many household members own ${assetname}?
first_asset_owner - Q3_1. Who in the household is the primary owner of this asset?
second_asset_owner - Q3_2. Who in the household is the second owner of this asset?
third_asset_owner - Q3_4. Who in the household is the third owner of this asset?
fourth_asset_owner - Q3_4. Who in the household is the fourth owner of this asset?
asset_users - How many household members use ${assetname}?
first_asset_user - Q4_1. Who in the household is the primary user of this asset?
second_asset_user - Q4_2. Who in the household is the second user of this asset?
third_asset_user - Q4_3. Who in the household is the third user of this asset?
fourth_asset_user - Q4_4. Who in the household is the fourth user of this asset?
agric_app - Q5. Does the has any 'app' for agriculture that support farmers'
hhid - household identification number
water_id - Water source ID
water_qty - NQ2_q. How much water did you use from ${sourcename} in the last 12 months?
water_unit - NQ2_u Unit of water used
water_cost - NQ3. How much did you spend for the water from ${sourcename} in the last 12 mon
minutes_watersource - NQ4_q. On average, how long (minutes) does it take from the homestead to go to t
transport_mode - NQ4_u. What is the usual mode of transport to the ${sourcename}
hhid - household identification number
energy_id - Energy source
energy_amount - OQ2_q. How much electricity did you use from ${energyname} in the last 12 month
energy_unit - OQ2_u. Unit of energy used in your farm
energy_own - OQ3. Do you own a ${energyname} ?
energy_cost - OQ4. How much did you pay to buy electicity from ${energyname} in the last 12 m
maintenance_cost - OQ5. How much did you spend for the maintenance of ${energyname} in the last 12
elect_expense - OQ6. How much did you spend for the electicity used from ${energyname} in the l
hhid - household identification number
fuel_id - Fuel source name
fueltype_used - PQ1. During the last 12 months, did you use ${fuelname} in the farm?
fuel_amount - PQ2_q. How much ${fuelname} di you use in the last 12 months?
fuel_unit - PQ2_u. Unit of fuel used
fuel_cost - PQ3. How much did you spend on ${fuelname} in the last 12 months? (Shillings)
fuel_sell - PQ4.Do you sell any of these ${fuelname} ?
fuelincome - PQ5. What is your annual income from selling ${fuelname} ? (Shillings)
hhid - household identification number
transport_id - Transport ID
journey_km - QQ2. What was the average distance per journey mande using ${transportname} in
journey_cost - QQ3. What is the cost you paid for transporting the agricultural produce from th
hhid - household identification number
waste_id - Waste ID
waste_qty - RQ2_q. How much ${wastename} did you produce in the last 12 months?
waste_unit - RQ2_u. Unit of the waste produced
waste_disposal - RQ3. How did you didpose of ${wastename}?
hhid - household identification number
work_incident - SQ1. Were there any work incidents (*) in the last 12 months?
incidents_number - SQ2. How many incidents were there in the last 12 months?
incident_payment - SQ3. Did the farm or the farm's insurance contribute in paying the healthcare co
farm_contribution - SQ4. what was the total amount contributed by the farm? (KSH)
fatal_incident - SQ5. Were there any fatal incidences in your farm in the last 12 months?
number_dead - SQ6. How many people lost their lives?
victims_compensation - SQ7. What compensation was paid to the families of the victims (KES)?
hhid - household identification number
shockid - Shock ID
shock_frequency - TQ2. Since 2019, how many times did your household experience the ${shockname}?
shock_impact - TQ3. Overall, how strong was the impact of ${shockname} on the livelihood of yo
impact_year - TQ4. In which YEAR did the most severe negative instance of ${shockname} occur/
recovery_extent - TQ5. To what extent was your household able to recover its livelihoods from the
shock_lastyear - TQ6. In the last 12 months, did your household experience ${shockname} ?
shock_frequency_lastyr - TQ7. During last 12 months, how many times did your household experience the ${
covid_impact - TQ8. Was the ${shockname} a direct consequence of COVID-19 outbreak?
shock_impact_lastyr - TQ9. Overall, how strong was the impact of ${shockname} on the livelihood of yo
recovery_extent_lastyr - TQ10. To what extent was your household able to recover its livelihoods from the
hhid - household identification number
coop_group - UQ1. Does at least one member of the household belong to farmers' cooperative or
member_coop - UQ2. Select the household members who belong to the farmers cooperatives or asso
category - Item Category
unit - Unit of measurement
conv_factor - Conversion factor in Acres
category - Item Category
itemid - Item ID
unit - Unit of measurement
conv_factor - Conversion factor in Kg
category - Item Category
itemid - Item ID
unit - Unit of measurement
conv_factor - Conversion factor in Kg
hhid - household identification number
county - County name
sublocation - Sublocation
village - village ID
consent - Do you agree to participate?
treat - Treatment status
hhsize - Household size
pollinators_importance - How important are pollinators in increasing the yield of crops
pollinated_crops - EQ0. Which crops do you grow that require insect pollination?
hiredlabor_agric - HQ0.Did the farm household hire workers for any agricultural activities during t
hired_number - Number of hired labour in the last 12 months
human_waste - Did you use human waste in your farm in the last 12 months?
submissiondate - Date/time submitted
starttime - Start time
endtime - End time
surdate - Date of the survey
hhid - Household Identification Number
worker_id - Worker ID
county - County where worker worked
sublocation - Sublocation where worker worked
village - village ID
worked_hhd - BQ0. Did you work for ${household_name} farm during the 2022/2023 agricultural
age - BQ1. How old are you in completed years?
sex - BQ2. What is your sex?
education - BQ3. What is your highest level of education attained?
attend_school - BQ4. Have you attended school in the last 12 months?
farm_activities - BQ5. Which activities did you engage in on the farm, in the last 12 months?
farm_activities_1 - Farm activity performed: Land preparation
farm_activities_2 - Farm activity performed: Planting
farm_activities_3 - Farm activity performed: Weeding
farm_activities_4 - Farm activity performed: Fertilizer
farm_activities_5 - Farm activity performed: Pruning
farm_activities_6 - Farm activity performed: Spraying chemicals
farm_activities_7 - Farm activity performed: Picking/harvesting
farm_activities_8 - Farm activity performed: Processing crops
farm_activities_9 - Farm activity performed: Other activities not directly related to production
hhid - Household Identification Number
worker_id - Worker ID
work_period - CQ1a. How long did you work in the farm in the last 12 months agricultural seaso
period_unit - CQ1b. What was the unit for the period worked
agreement_type - CQ2. What type of agreement did you have while working on the farm?
understand_writtencontract - CQ3. Do you understand the written contract/agreement you received/agreed to?
contract_match - CQ4. Does the received/agreed contract match with the description of the promise
amount_contract - CQ45a. How much was agreed that you would receive for your work per [unit] in th
amount_period - CQ5b. For what period was this amount?
pay_deduction - CQ6. Does the farmer/ employer deduct any amounts from your payment before you g
netpay - CQ7a. How much did you actually get paid per [unit]? Please indicate the value a
netpay_period - CQ7b. For what period was the amount
account_payment - CQ8. Did your employer give you the option to be paid into the bank account, or
access_account - CQ9. Does your employer have access to your bank account or mobile money account
money_withheld - CQ10. Does your employer withhold money from you to force you to work on this wo
pay_fees - CQ11. Did you or someone you know had/have to pay a fee or do a favor to the per
person_paid - CQ12. Who did you or someone you know have to pay a fee or do a favor to get thi
person_paid_1 - Person who was paid favor: Family
person_paid_2 - Person who was paid favor: Recruiter/person who helped you find this job
person_paid_3 - Person who was paid favor: Employer
payloan_employer - CQ13. Were you given a loan/favor from your employer or recruiter that you have
loan_convince - CQ14. Was the loan/favor used to convince you to do work that you did not want t
loan_duration - CQ15. In case of a loan, What is the total duration of the loan, from the start
loanduration_unit - CQ15b. The measurement unit for the loan duration
hhid - Household Identification Number
worker_id - Worker ID
nonmonetary_benefits - DQ1. In addition to the pay for your work, did you receive food, accomodation or
benefits - DQ2. Which benefits did you receive?
leave_weeks - DQ5. How many weeks of paid maternity/paternity leave are you entitled to?
work_village - DQ6a. Is your work with ${household_name} , in the same village as where you li
living_place - DQ6b. Did the employer promise/give you a place to live?
promised_place - DQ7. Does the actual place you live match with the description of the promised/e
residence_permit - DQ8. Was it promised to you that you would get a certain legal status or residen
promise_fulfilled - DQ9. Was this promise met?
hhid - Household Identification Number
worker_id - Worker ID
benefit_id - Benefit ID
benefit_amount - DQ3. How much is the estimated total value of what you received for ${benefitna
hhid - Household Identification Number
worker_id - Worker ID
hrs_contract - EQ1. If you have a contract, does your contract specify the number of hours you
work_longer - EQ2. Did you work longer than specified in your contract or what was initially a
weeks_worked - EQ3. How often did you work for 7 days per week in the last 12 months?
hrs_perweek - EQ4. How often did you work more than 56 hours per week (8 hour X 7 days)?
rest_datys - EQ5. How many rest days (weekend or other days when you don't work) per week did
holiday_work - EQ6. Did you work on Public Holidays or Weekends [however the weekend is defined
receive_extrapay_holiday - EQ7. Did you receive EXTRA PAY for working during Public Holidays or Weekends?
holiday_extrapay - EQ8. How much EXTRA PAY did you receive?
pay_unit - EQ8b. Unit for pay
paid_workk2022 - EQ9. Have you been paid for all the work you have performed in the last 12 month
extratime_frequency - EQ10. How often do you work extra time or longer than your normal working hours?
extrahrs_weekday - EQ11a. On weeks/days where you worked extra or longer than your normal working d
extrahrs_unit - EQ11b. Unit
extrapay_extradays - EQ12. Did you receive extra pay for the extra days/hours you worked?
extraday_pay - EQ13. What amount did you receive for work per extra day/hour? (KES)
risk_leavejob - EQ14. Are there any risks for you or people around you if deciding to leave your
risk_type - EQ15. What are the risks if you decide to leave your employer?
terminate_work - EQ16. Are you free to terminate your work contract/agreement should you want to
reason_notterminate - EQ17. Why are you not able to terminate your work contract should you want to le
keep_documents - EQ18. Does your employer keep your original ID documents, other identity papers
reason_keep_documents - EQ19. Why does your employer keep these documents for you?
reason_keep_documents_1 - For legal reasons
reason_keep_documents_2 - Because they have a safe to keep documents secure
reason_keep_documents_3 - To restrict me in my mobility
reason_keep_documents_4 - To protect the employer against wrong doing I may engage in
hhid - Household Identification Number
worker_id - Worker ID
task_expectation - FQ1. Are the actual tasks at ' ${household_name} ' comparable to your expectati
activity_diasgree - FQ2. Do you have to perform any activities to which you do not agree?
refuse_activity - FQ3. In case your employer or manager would ask you or someone working with you
violent_tone - FQ4. Would your employer or managers ever use an unfriendly or violent tone of v
violent_tone_freq - FQ5.How often does this happen?
employer_violent - FQ6. Has your employer ever threatened or been violent to you or someone working
employer_violent_freq - FQ7. How often does this happen?
free_takebreak - FQ8. At work, are you free to take a short break whenever you want? For instance
free_toleave - FQ9. Are you free to leave the work space after your work has ended?
free_communicate - FQ10. Are you free to communicate with other workers during or after working tim
control_afterwork - FQ11. Does your employer control your after work activities?
hhid - Household Identification Number
worker_id - Worker ID
nonsexual_threats - GQ1. Have you ever been in a situation where a co-worker, supervisor, employer h
sexual_comments - GQ2. Have you ever been in a situation where a co-worker, supervisor, employer h
nonsexual_contact - GQ3. Have you ever been in a situation where a co-worker, supervisor, employer h
sexual_contact - GQ4. Have you ever been in a situation where a co-worker, supervisor, employer h
forced_sex - GQ5. Have you ever been in a situation where a co-worker, supervisor, employer h
report_sexual_harassment - GQ6. Have you reported any incidents of sexual or non-sexua unwanted comments or
where_reported - GQ7. Who were they reported to? (Check all that apply:
where_reported_1 - Who were they reported to: Hiring farmer
where_reported_2 - Who were they reported to: Supervisor
where_reported_3 - Who were they reported to: Community health worker
where_reported_4 - Who were they reported to: Police
where_reported_5 - Who were they reported to: Religious leader
response_report - GQ8. Was your report responded to?
satisfied_address - GQ9. Are you satisfied with how the report was addressed?
reporting_effectiveness - GQ10. How would you rate the effectiveness of the reporting and response process
incident_noreport - GQ11. Are there any incidents you did not report?
reasons_noreport - GQ12. Which of the following reasons make you uncomfortable with the idea of rep
reasons_noreport_1 - It is not clear how to report incidents
reasons_noreport_2 - You are uncomfortable reporting to the person(s) who receive reports
reasons_noreport_3 - You are concerned that reporting an incident will affect your job, career or pos
reaons_noreport_4 - I just took it lightly
hhid - Household Identification Number
worker_id - Worker ID
injured_working - HQ1. Were you injured or hurt while working in the farm the last 12 months?
injury_freq - HQ2. How often did this happen?
reportplace_clear - HQ3. Was it clear to you where to report the incident?
insurance_pay - HQ4. Did your employer pay any contribution to your medical expenses resulting f
paid_proportion - HQ5a. If the costs were shared between you and youe employer, Please specify whi
farm_proportion - HQ5b. What percentage did your employer contribute to your medical expenses?
nhif_proportion - HQ5c. What percentage did NHIF (public health insurance) contribute to your medi
medical_insurance - HQ6. Would employer or your work insurance pay any contribution for your medical
lost_lives - HQ7. Do you know if someone lost their lives because of their work at this workp
number_died - HQ8. How many people lost their lives in this farm/workplace in the last 12 mont
compensation_amount - HQ9. Do you know what compensation was paid to the family member of the victim(s
pesticides_manually - HQ10. Did you ever apply PESTICIDES manually?
gloveuse_freq - HQ11. How often did you use GLOVES when using pesticides?
suitsuse_freq - HQ12. How often did you use SUITS when using pesticides?
bootsuse_freq - HQ13. How often did you use BOOTS when using pesticides?
hatsuse_freq - HQ14. How often did you use HATS and a MASK when using pesticides?
use_machete - HQ15. Do you ever use a MACHETE?
machete_freq - HQ16. How often did you use GLOVES when working with a machete?
machete_hrs - HQ17. How many HOURS per day you used a machete on average?
workdays_losthealth_related - HQ18. How many days of work did you lose in the last 12 months? due to WORK RELA
paid_dayslost - HQ19. Were these paid or not paid days of absence?
workdays_losthealth_unrelated - HQ20. How many days of work did you lose in the last 12 months? due to pain or s
paid_daysabsence - HQ21. Were these paid or not paid days of absence?
hhid - Household Identification Number
worker_id - Worker ID
training_received - Which of the following training did you receive in the last 12 months? (Check al
training_received_1 - Training received: Good agricultural practices
training_received_2 - Training received: Pesticide application
training_received_3 - Training received: Health and safety and work
training_received_4 - Training received: Sexual unwanted attention
training_received_5 - Training received: Nutrition
training_received_0 - Training received: No training
agric_hrs - IQ1. HOW MANY hours of training did you receive on GOOD AGRICULTURAL PRACTICES i
pesticide_hrs - IQ2. HOW MANY hours of training did you receive on HOW TO USE PESTICIDES in the
health_hrs - IQ3. HOW MANY hours of training did you receive on HEALTH AND SAFETY AT WORK in
sexual_hrs - IQ4. HOW MANY hours of training did you receive on SEXUAL UNWANTED ATTENTION in
nutrition_hrs - IQ4. HOW MANY hours of training did you receive on NUTRITION in the last 12 mont
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Variables

household identification number

f10421821 Location:

Summary Statistics: Valid 8172.0; StDev 8.475289354876584E7; Mean 4.655671432158799E7; Min. 2.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:5X7/TdV8iy19BDsKlSyG2g==

Household member ID code

f10421821 Location:

Summary Statistics: Max. 18.0; Mean 3.773739598629464; Min. 1.0; StDev 2.370231191745027; Valid 8172.0

Variable Format: numeric

Notes: UNF:6:k5m3MqybzYwB8UeR7S0Bzw==

AQ1. What is the sex of ${hhname} ?

f10421821 Location:

Value	Label	Frequency	Text
0.	Male	4041
1.	Female	4131

Summary Statistics: StDev 0.5000002695682665; Max. 1.0; Mean 0.505506607929514; Valid 8172.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:kA6VkrBV+iCgPnh3ynqIaw==

AQ2. What is ${hhname}'s relation to the head of household?

f10421821 Location:

Value	Label	Frequency
5.	ADOPTED CHILD	22
10.	SON/DAUGHTER IN-LAW	87
12.	PARENT-IN-LAW	11
11.	PARENT	44
3.	OWN CHILD	3891
8.	NIECE/NEPHEW	117
15.	OTHER NONRELATION	22
6.	GRANDCHILD	1258
13.	DOMESTIC HELP (RESIDENT)	71
2.	SPOUSE	1059
1.	HEAD	1487
16.	CO-WIFE	1
14.	DOMESTIC HELP (NON RESIDENT)	6
4.	STEP CHILD	20
9.	BROTHER/SISTER-IN-LAW	29
7.	BROTHER/SISTER	47

Summary Statistics: Max. 16.0; Mean 3.350587371512482; Min. 1.0; Valid 8172.0; StDev 2.2478471779858857;

Variable Format: numeric

Notes: UNF:6:LOtvKqx/eAPO0CnxL4GWXQ==

AQ3. How old is ${hhname} ? (in completed years).

f10421821 Location:

Summary Statistics: Max. 103.0; StDev 20.778753623923006; Valid 8172.0; Min. 0.0; Mean 26.04796867351932

Variable Format: numeric

Notes: UNF:6:tdVpGs45K0QDQw2/+USd7w==

AQ4. What is ${hhname}'s highest level of education attained?

f10421821 Location:

Value	Label	Frequency
5.	TERTIARY	405
1.	NEVER ATTENDED/PRIMARY INCOMPLETE	1617
3.	PRIMARY	2156
4.	SECONDARY	1268
2.	PRIMARY NOT COMPLETED	2726

Summary Statistics: Min. 1.0; StDev 1.1193553908949245; Valid 8172.0; Mean 2.524963289280461; Max. 5.0

Variable Format: numeric

Notes: UNF:6:ZTEwLljpahx25rscaumo/w==

Q5. Has ${hhname}'s attended school in the last 12 months ?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	3185
1.	yes	3370

Summary Statistics: StDev 0.49983895769419884; Min. 0.0; Mean 0.5141113653699467; Valid 6555.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:K0Vo18jPJSCbfnsnD+aaLA==

Q6. How many hours per week did ${hhname}'s on average attend school?

f10421821 Location:

Summary Statistics: Max. 91.0; Mean 36.65964391691396; Min. 2.0; Valid 3370.0; StDev 15.77133848829239

Variable Format: numeric

Notes: UNF:6:djge9rM55csV0QDUKVJIcg==

AQ7. In the last seven days, did ${hhname} do any work for a wage, salary, comm

f10421821 Location:

Value	Label	Frequency	Text
0.	no	4761
1.	yes	1119

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.3925759956958436; Valid 5880.0; Mean 0.19030612244897915

Variable Format: numeric

Notes: UNF:6:jce/TK04s+IKmoPIGTTGjA==

AQ8. In the last seven days did ${hhname} run or do any kind of farming or ther

f10421821 Location:

Value	Label	Frequency	Text
0.	no	4921
1.	yes	959

Summary Statistics: StDev 0.3694839628734196; Max. 1.0; Min. 0.0; Valid 5880.0; Mean 0.1630952380952382

Variable Format: numeric

Notes: UNF:6:iWWYDKOURVAwb0ZUoUWccw==

AQ9. In the last seven days, did ${hhname} help unpaid in a family business (ei

f10421821 Location:

Value	Label	Frequency	Text
1.	yes	778
0.	no	5102

Summary Statistics: StDev 0.3388594741048624; Mean 0.1323129251700671; Valid 5880.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:MfTbdbjwbI4R9LflJ8kgzw==

AQ10. in the last 12 months has ${hhname} got involved in an activity where s/h

f10421821 Location:

Value	Label	Frequency	Text
1.	yes	251
0.	no	7889

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.030835380835380642; StDev 0.1728821329608165; Valid 8140.0;

Variable Format: numeric

Notes: UNF:6:ODv7Rxp2JDswwDFeuOwUvA==

AQ11. In the last seven days, were ${hhname} absent from a paid job or a busine

f10421821 Location:

Value	Label	Frequency
0.	no	4549
1.	yes	261
2.	Not in labor force	1070

Summary Statistics: Max. 2.0; Valid 5880.0; Mean 0.40833333333332555; StDev 0.7782324854696142; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Ix4c6CsK+wDHYwwSnSSYHg==

AQ12. Describe the main activity of establishment or business where ${hhname} w

f10421821 Location:

Variable Format: character

Notes: UNF:6:RDc4LncbkrjUmFvQt/0uZw==

What is the type of establishment /business activity where ${hhname} was involv

f10421821 Location:

Value	Label	Frequency
323.	Traditional and complementary medicine associate professionals	0
91.	Arts, entertainment and recreation	2
412.	Secretaries (general)	2
523.	Cashiers and ticket clerks	1
264.	Authors, journalists and linguists	0
811.	Mining and mineral processing plant operators	0
315.	Ship and aircraft controllers and technicians	0
252.	Database and network professionals	0
223.	Traditional and complementary medicine professionals	0
131.	Production managers in agriculture, forestry and fisheries	4
921.	Agricultural, forestry and fishery labourers	261
351.	Information and communications technology operations and user support technician	1
251.	Software and applications developers and analysts	0
211.	Physical and earth science professionals	0
142.	Retail and wholesale trade managers	8
232.	Vocational education teachers	1
314.	Life science technicians and related associate professionals	0
933.	Transport and storage labourers	6
335.	Regulatory government associate professionals	1
413.	Keyboard operators	0
214.	Engineering professionals	0
234.	Primary school and early childhood teachers	43
431.	Numerical clerks	1
514.	Hairdressers, beauticians and related workers	10
432.	Material-recording and transport clerks	2
522.	Shop salespersons	11
961.	Refuse workers	0
532.	Personal care workers in health services	0
132.	Manufacturing, mining, construction, and distribution managers	3
69.	Professional, scientific and technical activities	8
835.	Ships' deck crews and related workers	1
752.	Wood treaters, cabinet-makers and related trades workers	4
322.	Nursing and midwifery associate professionals	0
1.	Agriculture, forestry and fishing	37
833.	Heavy truck and bus drivers	14
112.	Managing directors and chief executives	2
932.	Manufacturing labourers	1
524.	Other sales workers	5
68.	Real estate activities	0
143.	Other services managers	2
134.	Professional services managers	1
77.	Administrative and support service activities	8
515.	Building and housekeeping supervisors	5
332.	Sales and purchasing agents and brokers	4
411.	General office clerks	1
513.	Waiters and bartenders	8
817.	Wood processing and papermaking plant operators	0
98.	Activities of households as employers; undifferentiated goods- and services-prod	0
346.	Armed forces occupations, other ranks	3
224.	Paramedical practitioners	0
95.	DOMESTIC SERVICE (domestic workers in private households)	79
831.	Locomotive engine drivers and related workers	0
344.	Commissioned armed forces officers	3
541.	Protective services workers	41
722.	Blacksmiths, toolmakers and related trades workers	1
222.	Nurse, Nursing and midwifery professionals	5
941.	Food preparation assistants	1
225.	Veterinarians	2
321.	Medical and pharmaceutical technicians	2
265.	Creative and performing artists	0
911.	Domestic, hotel and office cleaners and helpers	9
621.	Agriculture - Forestry and related workers	22
49.	Transportation and storage	21
741.	Electrical equipment installers and repairers	3
732.	Printing trades workers	0
87.	Human health and social work activities	11
243.	Sales, marketing and public relations professionals	2
94.	Other service activities	19
511.	Travel attendants, conductors and guides	4
122.	Sales, marketing and development managers	4
325.	Other health associate professionals	1
233.	Secondary education teachers	12
712.	Building finishers and related trades workers	1
834.	Mobile plant operators	0
821.	Assemblers	0
263.	Social and religious professionals	15
64.	Financial and insurance activities	2
261.	Legal professionals	1
42.	Construction	70
951.	Street and related service workers	0
216.	Architects, planners, surveyors and designers	1
721.	Sheet and structural metal workers, moulders and welders, and related workers	7
814.	Rubber, plastic and paper products machine operators	0
931.	Mining and construction labourers	65
952.	Street vendors	3
912.	Vehicle, window, laundry and other hand cleaning workers	4
611.	Agriculture - Market gardeners and crop growers	21
512.	Cooks	14
221.	Medical doctors	1
5.	Mining and quarrying	3
516.	Other personal services workers	1
751.	Food processing and related trades workers	2
215.	Electrotechnology engineers	0
262.	Librarians, archivists and curators	0
613.	Agriculture - Mixed crop and animal producers	19
962.	Other elementary workers	0
133.	Information and communications technology service managers	1
731.	Handicraft workers	2
723.	Machinery mechanics and repairers	9
612.	Agriculture - Animal, livestock producers	8
121.	Business services and administration managers	5
441.	Other clerical support workers	1
832.	Car, van and motorcycle drivers	23
111.	Legislators and senior officials including village chiefs	7
10.	Manufacturing	4
85.	Education	19
343.	Artistic, cultural and culinary associate professionals	2
334.	Administrative and specialised secretaries	1
813.	Chemical and photographic products plant and machine operators	0
818.	Other stationary plant and machine operators	0
58.	Information and communication	1
231.	University and higher education teachers	0
711.	Building frame and related trades workers	7
312.	Mining, manufacturing and construction supervisors	2
622.	Fishery workers, hunters and trappers	0
815.	Textile, fur and leather products machine operators	0
531.	Child care workers and teachers' aides	0
753.	Garment and related trades workers	7
235.	Other teaching professionals	0
35.	Electricity, gas, steam and air conditioning supply	1
324.	Veterinary technicians and assistants	0
37.	Water supply; sewerage, waste management and remediation activities	7
816.	Food and related products machine operators	2
331.	Financial and mathematical associate professionals	1
313.	Process control technicians	0
521.	Street and market salespersons	4
754.	Other craft and related workers	0
45.	Wholesale and retail trade	22
342.	Sports and fitness workers	2
241.	Finance professionals	2
742.	Electronics and telecommunications installers and repairers	1
812.	Metal processing and finishing plant operators	0
333.	Business services agents	0
341.	Legal, social and religious associate professionals	2
345.	Non-commissioned armed forces officers	0
141.	Hotel and restaurant managers	1
212.	Mathematicians, actuaries and statisticians	1
84.	Public administration and defence; compulsory social security	14
226.	Other health professionals	2
422.	Client information workers	0
421.	Tellers, money collectors and related clerks	3
213.	Life science professionals	0
713.	Painters, building structure cleaners and related trades workers	10
352.	Telecommunications and broadcasting technicians	0
242.	Administration professionals	3
311.	Physical and engineering science technicians	0
55.	Accommodation and food service activities	9

Summary Statistics: Mean 494.10813226094734; Min. 1.0; Valid 1119.0; Max. 952.0; StDev 364.4867024673038;

Variable Format: numeric

Notes: UNF:6:N+JC9wLj6zChqPakah82AQ==

AQ13_c. The last time you were paid, how much did ${hhname} receive in cash?

f10421821 Location:

Summary Statistics: Max. 150000.0; StDev 14006.14757123753; Mean 7087.321715817684; Valid 1119.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:ofkap1T0wSt3yKo+/mVP4g==

AQ13_k. The last time you were paid, how much did ${hhname} receive in-kind?

f10421821 Location:

Summary Statistics: StDev 794.0084136601441; Valid 1119.0; Min. 0.0; Max. 25000.0; Mean 50.43878462913305

Variable Format: numeric

Notes: UNF:6:i/Kc/hkOzQY54jQt9eMMdw==

Q13. The last time the member was paid, how much did they receive in total?

f10421821 Location:

Summary Statistics: Mean 7144.909740840005; Valid 1119.0; Max. 150000.0; Min. 0.0; StDev 14009.27973808292

Variable Format: numeric

Notes: UNF:6:V7vPcmzKOyv5v3rob1LWqA==

AQ14. What period did this payment for ${hhname} cover?

f10421821 Location:

Value	Label	Frequency
5.	YEAR	0
88.	OTHER	1
1.	DAY	611
3.	FORTHWEEK	8
4.	MONTH	439
2.	WEEK	60

Summary Statistics: Valid 1119.0; Max. 88.0; Min. 1.0; Mean 2.3226094727435203; StDev 2.9386295803791898

Variable Format: numeric

Notes: UNF:6:jakTl8owWiT82DFqL6+oBA==

AQ15. How many months did ${hhname} work in this job during the last 12 months?

f10421821 Location:

Summary Statistics: Valid 1119.0; StDev 4.102771774188477; Max. 12.0; Min. 0.0; Mean 7.665773011617514

Variable Format: numeric

Notes: UNF:6:ghRTajupT4YeQ7CRWZE1Zg==

AQ16. How many days per month did ${hhname} work in this job during those month

f10421821 Location:

Summary Statistics: Mean 19.36818588025024; Min. 0.0; Valid 1119.0; StDev 16.689640596356256; Max. 336.0

Variable Format: numeric

Notes: UNF:6:O43A+MIhg5byw+E5ZpTPfA==

AQ17. How many hours per day did ${hhname} work in your job during the last mon

f10421821 Location:

Summary Statistics: Valid 1119.0; StDev 2.485441631300654; Max. 15.0; Mean 7.798033958891869; Min. 0.0

Variable Format: numeric

Notes: UNF:6:outoLLV1uem/e6b7AB33oA==

AQ18. Were ${hhname}'s involved in any farming activity over the last 12 months

f10421821 Location:

Value	Label	Frequency	Text
1.	yes	978
0.	no	458

Summary Statistics: Max. 1.0; Valid 1436.0; Min. 0.0; StDev 0.46622869108911813; Mean 0.6810584958217257

Variable Format: numeric

Notes: UNF:6:oUpMjb/jeVs90NxKvJ9qwg==

AQ19. Does ${hhname}'s ever get involved in spraying pesticides/herbicides?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	910
1.	yes	68

Summary Statistics: Mean 0.06952965235173833; Max. 1.0; Min. 0.0; StDev 0.2544828051092974; Valid 978.0;

Variable Format: numeric

Notes: UNF:6:WDo6otD72TmmsLIin0l2LA==

AQ20. How many hours per week would ${hhname}'s be working on spraying pesticid

f10421821 Location:

Summary Statistics: Valid 68.0; StDev 4.0121358920348795; Min. 1.0; Max. 21.0; Mean 4.1911764705882355;

Variable Format: numeric

Notes: UNF:6:dCxmMRRw5EIo/gTVSN6zIQ==

AQ21. Does ${hhname}'s ever use machete, tractor or plough?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	483
1.	yes	495

Summary Statistics: Min. 0.0; Valid 978.0; Max. 1.0; Mean 0.5061349693251537; StDev 0.5002181613964432;

Variable Format: numeric

Notes: UNF:6:mgYSa2ijiWwfESqxN0gAkg==

AQ22. How many hours per week would ${hhname}'s on average use this type of equ

f10421821 Location:

Summary Statistics: Valid 495.0; Mean 4.852525252525251; Min. 1.0; StDev 6.186414910119639; Max. 48.0

Variable Format: numeric

Notes: UNF:6:mLi/KI7q5ZSDqigGfEQhQw==

AQ23. Does ${hhname}'s help with livestock herding on the farm?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	435
1.	yes	543

Summary Statistics: Mean 0.5552147239263806; Max. 1.0; Min. 0.0; StDev 0.49719623810858976; Valid 978.0

Variable Format: numeric

Notes: UNF:6:I/o6IaE5eRaSdnZbrUQgng==

AQ24. How many hours per week would ${hhname}'sbe working on livestock herding

f10421821 Location:

Summary Statistics: Min. 1.0; Valid 543.0; Max. 56.0; StDev 9.224534322217625; Mean 8.318600368324123

Variable Format: numeric

Notes: UNF:6:g2gQbc/wC9Vd1YwyaEDa5Q==

AQ25. Does ${hhname}'s help with automatic or horse irrigation on the farm?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	972
1.	yes	6

Summary Statistics: Min. 0.0; Mean 0.006134969325153378; Max. 1.0; Valid 978.0; StDev 0.07812536302670454

Variable Format: numeric

Notes: UNF:6:SQv7CKndfzgzGVqNgch2bw==

AQ26. How many hours per week would ${hhname}'s be working on automatic or hose

f10421821 Location:

Summary Statistics: Min. 2.0; Max. 15.0; Valid 6.0; StDev 4.888762624632126; Mean 8.5;

Variable Format: numeric

Notes: UNF:6:LQ+genzcIOzmO4gaJggmWA==

AQ27. Does ${hhname}'s help with bucket irrigation on the farm?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	912
1.	yes	66

Summary Statistics: Valid 978.0; StDev 0.2509878380550026; Max. 1.0; Mean 0.06748466257668707; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:zd0/CgELVIh8wiT/V9SmuQ==

AQ28. How many hours per week would ${hhname}'s be helping with bucket irrigati

f10421821 Location:

Summary Statistics: Valid 66.0; Mean 5.181818181818182; Min. 1.0; StDev 5.72150892122562; Max. 30.0

Variable Format: numeric

Notes: UNF:6:NrJkqsEcW6rBmZWg8mD+OA==

AQ29. Does ${hhname}'s help with manual weeding on the farm?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	122
1.	yes	856

Summary Statistics: Mean 0.8752556237218815; Min. 0.0; StDev 0.33059789838046527; Max. 1.0; Valid 978.0;

Variable Format: numeric

Notes: UNF:6:EOFFFYczltUcYIH2TFR+PQ==

AQ30. How many hours per week would ${hhname}'s be working on manual weeding on

f10421821 Location:

Summary Statistics: Min. 1.0; Mean 8.62032710280374; Max. 48.0; StDev 7.9822614969900005; Valid 856.0;

Variable Format: numeric

Notes: UNF:6:/+21py0nVa+AIp/k4YPQNw==

AQ31. Does ${hhname}'s help with manual harvesting on the farm?

f10421821 Location:

Value	Label	Frequency	Text
1.	yes	744
0.	no	234

Summary Statistics: StDev 0.42685236030877954; Valid 978.0; Mean 0.760736196319018; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:9qrB23zLTKeOMrZGyrCKbQ==

AQ32. How many hours per week would ${hhname}'s be working on manual harvesting

f10421821 Location:

Summary Statistics: StDev 6.498467179920567; Max. 48.0; Valid 744.0; Min. 1.0; Mean 6.037634408602152;

Variable Format: numeric

Notes: UNF:6:zfKEKoMPGZdIzAfmAQmlmQ==

AQ33. Does ${hhname}'s help with carrying bags or cans manually on the farm?

f10421821 Location:

Value	Label	Frequency	Text
0.	no	414
1.	yes	564

Summary Statistics: Max. 1.0; Valid 978.0; Mean 0.5766871165644173; StDev 0.49433688124323377; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Hf9bny1M87Jq0HgzETZyeg==

AQ34. How many hours per week would ${hhname}'s be helping with carrying bags o

f10421821 Location:

Summary Statistics: Min. 1.0; Valid 564.0; Mean 3.1542553191489366; Max. 42.0; StDev 3.6497596668325594

Variable Format: numeric

Notes: UNF:6:0DbIdDCkJMnDTWJNkfNBIA==

household identification number

f10421820 Location:

Summary Statistics: StDev 9.119728785366404E7; Mean 5.6377580221105516E7; Min. 2.0; Valid 796.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:I6ZTEfYD1wdIF09gAfVFYg==

ID of the household member involved in non farming business

f10421820 Location:

Summary Statistics: Max. 15.0; StDev 1.1771907009212472; Mean 1.7864321608040203; Valid 796.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:e1f9V/+VTIey3Gk3ufIWzg==

In the last 12 months, did ${business_hhname} do any kind of farming or related

f10421820 Location:

Value	Label	Frequency
3.	No business	0
1.	Yes, farming business	0
2.	Non-farming business	796

Summary Statistics: Min. 2.0; Mean 2.0; Max. 2.0; Valid 796.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:BBXSb8arxqoYRkTZr49QKw==

Number of nonfarming business or selft employment activities where ${business_h

f10421820 Location:

Summary Statistics: Max. 2.0; StDev 0.26816603856696963; Mean 1.0778894472361809; Valid 796.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:x+79tTRKqE51XzcEUG+nyg==

Business ID

f10421820 Location:

Summary Statistics: Mean 1.0402010050251256; Max. 2.0; Valid 796.0; StDev 0.19655385690862107; Min. 1.0

Variable Format: numeric

Notes: UNF:6:/v7G7q5ifI+EQuktdzH1Sg==

Q1. What type of business/employment activity did the member work?

f10421820 Location:

Variable Format: character

Notes: UNF:6:xopXkfWHoZTQieLNIBR6Qg==

ISIC category

f10421820 Location:

Value	Label	Frequency
742.	Electronics and telecommunications installers and repairers	3
343.	Artistic, cultural and culinary associate professionals	1
832.	Car, van and motorcycle drivers	35
524.	Other sales workers	0
224.	Paramedical practitioners	0
514.	Hairdressers, beauticians and related workers	23
613.	Agriculture - Mixed crop and animal producers	0
522.	Shop salespersons	6
511.	Travel attendants, conductors and guides	2
131.	Production managers in agriculture, forestry and fisheries	0
69.	Professional, scientific and technical activities	6
323.	Traditional and complementary medicine associate professionals	0
332.	Sales and purchasing agents and brokers	7
352.	Telecommunications and broadcasting technicians	0
751.	Food processing and related trades workers	6
321.	Medical and pharmaceutical technicians	3
215.	Electrotechnology engineers	0
512.	Cooks	3
962.	Other elementary workers	0
322.	Nursing and midwifery associate professionals	0
831.	Locomotive engine drivers and related workers	0
68.	Real estate activities	2
811.	Mining and mineral processing plant operators	0
252.	Database and network professionals	0
931.	Mining and construction labourers	5
818.	Other stationary plant and machine operators	0
315.	Ship and aircraft controllers and technicians	0
722.	Blacksmiths, toolmakers and related trades workers	4
412.	Secretaries (general)	0
346.	Armed forces occupations, other ranks	0
821.	Assemblers	0
835.	Ships' deck crews and related workers	0
342.	Sports and fitness workers	0
961.	Refuse workers	0
812.	Metal processing and finishing plant operators	0
621.	Agriculture - Forestry and related workers	3
262.	Librarians, archivists and curators	0
431.	Numerical clerks	0
112.	Managing directors and chief executives	1
754.	Other craft and related workers	4
345.	Non-commissioned armed forces officers	0
212.	Mathematicians, actuaries and statisticians	1
94.	Other service activities	22
711.	Building frame and related trades workers	1
261.	Legal professionals	0
233.	Secondary education teachers	0
952.	Street vendors	19
98.	Activities of households as employers; undifferentiated goods- and services-prod	0
515.	Building and housekeeping supervisors	0
77.	Administrative and support service activities	1
132.	Manufacturing, mining, construction, and distribution managers	46
331.	Financial and mathematical associate professionals	0
223.	Traditional and complementary medicine professionals	2
815.	Textile, fur and leather products machine operators	2
221.	Medical doctors	0
37.	Water supply; sewerage, waste management and remediation activities	1
264.	Authors, journalists and linguists	0
411.	General office clerks	0
516.	Other personal services workers	0
64.	Financial and insurance activities	2
333.	Business services agents	1
334.	Administrative and specialised secretaries	0
816.	Food and related products machine operators	1
721.	Sheet and structural metal workers, moulders and welders, and related workers	5
42.	Construction	14
951.	Street and related service workers	0
55.	Accommodation and food service activities	8
325.	Other health associate professionals	1
10.	Manufacturing	0
731.	Handicraft workers	39
523.	Cashiers and ticket clerks	0
231.	University and higher education teachers	0
45.	Wholesale and retail trade	218
87.	Human health and social work activities	2
35.	Electricity, gas, steam and air conditioning supply	0
612.	Agriculture - Animal, livestock producers	0
141.	Hotel and restaurant managers	4
834.	Mobile plant operators	0
122.	Sales, marketing and development managers	1
351.	Information and communications technology operations and user support technician	0
235.	Other teaching professionals	0
143.	Other services managers	2
324.	Veterinary technicians and assistants	0
225.	Veterinarians	3
921.	Agricultural, forestry and fishery labourers	5
216.	Architects, planners, surveyors and designers	1
91.	Arts, entertainment and recreation	2
344.	Commissioned armed forces officers	0
243.	Sales, marketing and public relations professionals	0
133.	Information and communications technology service managers	2
531.	Child care workers and teachers' aides	1
226.	Other health professionals	0
251.	Software and applications developers and analysts	0
311.	Physical and engineering science technicians	0
134.	Professional services managers	0
521.	Street and market salespersons	2
611.	Agriculture - Market gardeners and crop growers	1
753.	Garment and related trades workers	23
335.	Regulatory government associate professionals	0
142.	Retail and wholesale trade managers	163
422.	Client information workers	0
911.	Domestic, hotel and office cleaners and helpers	0
242.	Administration professionals	1
813.	Chemical and photographic products plant and machine operators	0
432.	Material-recording and transport clerks	0
234.	Primary school and early childhood teachers	0
85.	Education	1
712.	Building finishers and related trades workers	0
314.	Life science technicians and related associate professionals	0
5.	Mining and quarrying	15
932.	Manufacturing labourers	0
232.	Vocational education teachers	1
211.	Physical and earth science professionals	0
713.	Painters, building structure cleaners and related trades workers	1
413.	Keyboard operators	0
732.	Printing trades workers	0
833.	Heavy truck and bus drivers	0
817.	Wood processing and papermaking plant operators	3
513.	Waiters and bartenders	0
313.	Process control technicians	0
121.	Business services and administration managers	1
421.	Tellers, money collectors and related clerks	1
441.	Other clerical support workers	0
214.	Engineering professionals	0
312.	Mining, manufacturing and construction supervisors	0
912.	Vehicle, window, laundry and other hand cleaning workers	0
752.	Wood treaters, cabinet-makers and related trades workers	3
222.	Nurse, Nursing and midwifery professionals	0
532.	Personal care workers in health services	0
341.	Legal, social and religious associate professionals	1
241.	Finance professionals	0
49.	Transportation and storage	31
58.	Information and communication	1
933.	Transport and storage labourers	5
814.	Rubber, plastic and paper products machine operators	0
111.	Legislators and senior officials including village chiefs	0
265.	Creative and performing artists	0
95.	DOMESTIC SERVICE (domestic workers in private households)	3
741.	Electrical equipment installers and repairers	4
723.	Machinery mechanics and repairers	3
941.	Food preparation assistants	2
622.	Fishery workers, hunters and trappers	0
1.	Agriculture, forestry and fishing	6
263.	Social and religious professionals	0
213.	Life science professionals	0
541.	Protective services workers	2
84.	Public administration and defence; compulsory social security	1

Summary Statistics: Valid 796.0; Min. 1.0; Mean 270.5565326633164; StDev 304.1119713849832; Max. 952.0

Variable Format: numeric

Notes: UNF:6:OHcWiaZZKYmBy8Tr5z/CGQ==

Q2. What was the role of this member in this business activity?

f10421820 Location:

Value	Label	Frequency
3.	Countributing family worker	31
1.	Employer	30
2.	Own-account worker	735

Summary Statistics: StDev 0.27699815797265254; Mean 2.0012562814070356; Max. 3.0; Min. 1.0; Valid 796.0;

Variable Format: numeric

Notes: UNF:6:vv4q/dqarVQxZHRfGOQB3g==

Q3. Did the member take any deciosions on how to run the business?

f10421820 Location:

Value	Label	Frequency	Text
1.	yes	761
0.	no	35

Summary Statistics: Valid 796.0; Min. 0.0; StDev 0.20515695870757356; Mean 0.956030150753769; Max. 1.0

Variable Format: numeric

Notes: UNF:6:NR+zhSUNVh55JGS12juMhA==

Q4. What was the expected/actual income from the business (KES)?

f10421820 Location:

Summary Statistics: Min. 50.0; StDev 34848.49642697792; Valid 779.0; Max. 750000.0; Mean 11154.765083440398;

Variable Format: numeric

Notes: UNF:6:lSP215DXap91zF18Xm63tg==

Q4. What period was this payment for?

f10421820 Location:

Value	Label	Frequency
2.	WEEK	163
1.	DAY	316
3.	FORTHWEEK	16
88.	OTHER	1
5.	YEAR	28
4.	MONTH	255

Summary Statistics: Valid 779.0; Max. 88.0; StDev 3.3659863251821065; Mean 2.487804878048773; Min. 1.0

Variable Format: numeric

Notes: UNF:6:5A69sT6mPmuSrNM/88F6fw==

BQ5_c.How much expenses in cash or inkind have ${business_hhname}/your househol

f10421820 Location:

Summary Statistics: Mean 5143.703517587969; Min. 0.0; Valid 796.0; Max. 450000.0; StDev 18453.085867484173

Variable Format: numeric

Notes: UNF:6:bb9o4FDodRhSN8o5/b8oyg==

BQ5_cp. What period did ${business_hhname}/ your household spend this cash for

f10421820 Location:

Value	Label	Frequency
88.	OTHER	1
1.	DAY	258
3.	FORTHWEEK	19
4.	MONTH	245
2.	WEEK	148
5.	YEAR	24

Summary Statistics: StDev 3.526006287104283; Min. 1.0; Valid 695.0; Max. 88.0; Mean 2.588489208633077

Variable Format: numeric

Notes: UNF:6:dJpoR9ssdykiXDlgaIsOaA==

Q6. How many months did the member work in last 12 months

f10421820 Location:

Summary Statistics: Max. 12.0; StDev 3.288843213214935; Valid 796.0; Min. 1.0; Mean 9.687185929648242

Variable Format: numeric

Notes: UNF:6:+ya7lfhRfOzL9h9OzYnWPg==

Q7. How many days per month did the member work on this business activity in the

f10421820 Location:

Summary Statistics: Valid 796.0; Min. 0.0; StDev 7.904157886378399; Max. 30.0; Mean 19.91457286432161

Variable Format: numeric

Notes: UNF:6:I1R6MwOD0e0zPgBZdYVxvA==

Q8. How many hours per day did the member work on this business activity?

f10421820 Location:

Summary Statistics: Max. 15.0; Min. 0.0; Valid 796.0; Mean 7.008793969849247; StDev 2.9581862627369055

Variable Format: numeric

Notes: UNF:6:yaBjJKPo5yunli4srEEYTw==

household identification number

f10649994 Location:

Summary Statistics: StDev 8.548382188434283E7; Min. 2.0; Max. 2.65322031E8; Valid 2535.0; Mean 4.963654784575942E7

Variable Format: numeric

Notes: UNF:6:U09lerz6oLbYnnz8BR3bzw==

parcelID

f10649994 Location:

Summary Statistics: Valid 2535.0; Min. 1.0; Mean 1.730571992110452; Max. 18.0; StDev 1.1976991673315796

Variable Format: numeric

Notes: UNF:6:Mm9XtDlwoto9L+k5unXKLA==

Parcels used in the main season

f10649994 Location:

Variable Format: character

Notes: UNF:6:IJiZ/RAQ1OyhwatxOFG0NA==

Q8. Which use did you dedicate this parcel to in the main season?

f10649994 Location:

Value	Label	Frequency
3.	Grazing land	3
2.	Rented out/sharecropped out	3
6.	Residential	1
4.	Left fallow	101
1.	Cultivated	2426
5.	virgin land	1

Summary Statistics: Valid 2535.0; StDev 0.6039702445673808; Max. 6.0; Mean 1.1266272189349102; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:SCKB7JTXvH9GxTTOsPWp2g==

Q10_c. How much in cash (KES) did you receive from renting out/share cropping ou

f10649994 Location:

Summary Statistics: Mean 83000.0; Max. 240000.0; StDev 135999.0808792471; Valid 3.0; Min. 1500.0

Variable Format: numeric

Notes: UNF:6:b/I/LSMW4Njqno++f/g8Ow==

Q10_i. How much inkind (KES) did you receive from renting out/share cropping out

f10649994 Location:

Summary Statistics: Min. 0.0; Mean 0.0; Valid 3.0; StDev 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:VpZbSP6E2fkJjjXL7+DJfw==

Q10. How much in total (KES) did you receive from renting out the parcel?

f10649994 Location:

Summary Statistics: Min. 1500.0; Max. 240000.0; Mean 83000.0; Valid 3.0; StDev 135999.0808792471

Variable Format: numeric

Notes: UNF:6:b/I/LSMW4Njqno++f/g8Ow==

Q11_1. How many days did the first decision maker work on the parcel in the main

f10649994 Location:

Summary Statistics: Mean 11.519979389954091; Max. 90.0; Valid 2426.0; StDev 12.22227437789454; Min. 0.0

Variable Format: numeric

Notes: UNF:6:oTgdPWRPNjj5QCKCoLBggA==

Q12_1. Average hours per day the primary decision maker work on this parcel in m

f10649994 Location:

Summary Statistics: Max. 11.0; StDev 2.270984159294704; Min. 0.0; Valid 2426.0; Mean 3.748557295960429

Variable Format: numeric

Notes: UNF:6:SZEG7Wq2gtvQOCF3JfNl4A==

Q11_2. How many days did the 2nd decision maker work on the parcel in the main s

f10649994 Location:

Summary Statistics: StDev 11.91384016390851; Mean 11.619136842175545; Min. 0.0; Valid 950.0; Max. 91.0

Variable Format: numeric

Notes: UNF:6:LLud8DtvkM9sOOLaQCUa1g==

Q12_2. Average hours per day the 2nd decision maker work on this parcel in main

f10649994 Location:

Summary Statistics: Mean 4.01263157894737; Valid 950.0; Max. 11.0; StDev 2.093657545759909; Min. 0.0

Variable Format: numeric

Notes: UNF:6:9tWg73pQxmdlslBJs6ut4w==

Q11_3. How many days did the 3rd decision maker work on the parcel in the main s

f10649994 Location:

Summary Statistics: Mean 11.761904761904763; Max. 30.0; StDev 9.262314839740451; Valid 21.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:K+WlybTzRURtTiGH8zUjSw==

Q12_3. Average hours per day the 3rd decision maker work on this parcel in main

f10649994 Location:

Summary Statistics: Min. 0.0; StDev 2.224324402513952; Mean 4.0476190476190474; Valid 21.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:2ykgMIglE4e1V/pvskZ39g==

Q13. Did any other household member work on this parcel a part from decision mak

f10649994 Location:

Value	Label	Frequency	Text
0.	no	965
1.	yes	1461

Summary Statistics: Mean 0.6022258862324811; Valid 2426.0; Max. 1.0; Min. 0.0; StDev 0.48953922379599035

Variable Format: numeric

Notes: UNF:6:B7lmXi44uDZddmA8kuXcAg==

Q14. How many other household members worked on the parcel excluding decision ma

f10649994 Location:

Summary Statistics: Max. 10.0; Mean 2.096509240246408; Min. 1.0; Valid 1461.0; StDev 1.1945630820241795

Variable Format: numeric

Notes: UNF:6:oQR/oTav6ouOuPrGzHTbmA==

Q15. How many days on average did each members work on the parcel?

f10649994 Location:

Summary Statistics: Valid 1461.0; Min. 0.5; Max. 90.0; Mean 9.771707734777703; StDev 9.182698270508002;

Variable Format: numeric

Notes: UNF:6:kdiBAMIW8D3Iu6uQNZhiNw==

Q16. How many hrs per day on average did each members work on the parcel?

f10649994 Location:

Summary Statistics: StDev 1.482672872585956; Min. 0.0; Valid 1461.0; Max. 10.0; Mean 4.403148528405198;

Variable Format: numeric

Notes: UNF:6:lm6KbKVh6avfY2impCJeLg==

Q17. Did you hire any person to work on this parcel in the main season?

f10649994 Location:

Value	Label	Frequency	Text
1.	yes	1335
0.	no	1091

Summary Statistics: Valid 2426.0; Mean 0.5502885408079156; Max. 1.0; Min. 0.0; StDev 0.4975671940413239;

Variable Format: numeric

Notes: UNF:6:SFNuowB0JKbnVWO6VyDNTA==

Q18. How many hired labor worked on the parcel in the main season?

f10649994 Location:

Summary Statistics: Mean 7.777153558052462; StDev 8.904328798509432; Max. 50.0; Valid 1335.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:fxcv0bu8B9mpGxjKgOrvhA==

Q19. How many days on average did each hired worker work on the parcel?

f10649994 Location:

Summary Statistics: Mean 3.160732221223884; StDev 2.556387214432426; Max. 15.0; Valid 1335.0; Min. 0.30000001192092896;

Variable Format: numeric

Notes: UNF:6:/1rm1HlEp90oIiCyZbzr8Q==

Q20. How many hrs per day on average did each hired worker work on the parcel?

f10649994 Location:

Summary Statistics: Min. 3.0; Max. 7.0; StDev 0.8026814474999746; Valid 1334.0; Mean 5.269865067466267

Variable Format: numeric

Notes: UNF:6:fmlJ21lriyEzvuECJsgStw==

Q21_c. What was the total cash payment to the hired workers?

f10649994 Location:

Summary Statistics: Mean 6439.162895927565; Min. 200.0; Max. 50400.0; Valid 1326.0; StDev 7879.515997530036

Variable Format: numeric

Notes: UNF:6:b6iNJPpxVAIIRMon/LdEfQ==

Q21_i. What was the total inkind payment to the hired workers?

f10649994 Location:

Summary Statistics: StDev 1754.7415343103035; Valid 97.0; Max. 16000.0; Min. 8.0; Mean 972.4329896907215

Variable Format: numeric

Notes: UNF:6:MWngTkZRE225+uoB+rlWhw==

Total amount paid for hired workers in this parcel

f10649994 Location:

Summary Statistics: Min. 0.0; Mean 3405.386982248441; StDev 6557.695870019172; Valid 2535.0; Max. 50400.0

Variable Format: numeric

Notes: UNF:6:6EiKmY1QBPMNxj9Uv/umSA==

Q22. Did other people work as free/exchange labor this parcel?

f10649994 Location:

Value	Label	Frequency	Text
0.	no	2125
1.	yes	301

Summary Statistics: Min. 0.0; Valid 2426.0; Max. 1.0; StDev 0.3297322645436595; Mean 0.12407254740313262

Variable Format: numeric

Notes: UNF:6:3Szn4LLNYaWVIaIToagSPQ==

Q23. How many free labor worked on the parcel in the main season?

f10649994 Location:

Summary Statistics: Mean 2.2458471760797334; Valid 301.0; StDev 1.669138808857329; Max. 10.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:nvlHkLpDWMaTlCB5W9jmTA==

Q24. How many days on average did each free worker work on the parcel?

f10649994 Location:

Summary Statistics: Min. 0.8999999761581421; Valid 301.0; Mean 3.8442093011152703; StDev 4.211062017825437; Max. 30.0

Variable Format: numeric

Notes: UNF:6:hD0Cd/mMCPyCtlDdKjqAfA==

Q25. How many hrs per day on average did each free worker work on the parcel?

f10649994 Location:

Summary Statistics: Max. 9.0; Valid 300.0; Min. 1.0; Mean 4.506666666666666; StDev 1.391549588196647;

Variable Format: numeric

Notes: UNF:6:KSPTivAdDuef7jtStEUjdg==

Q35 Total out of pocket cost (KES) for renting of agricultural equipment

f10649994 Location:

Summary Statistics: Max. 44000.0; StDev 4400.092264275137; Min. 50.0; Mean 3307.7456331877543; Valid 916.0;

Variable Format: numeric

Notes: UNF:6:+lZZWZEOsoarbOspzkI4YQ==

household identification number

f10649998 Location:

Summary Statistics: StDev 8.55567314446069E7; Valid 2536.0; Min. 2.0; Mean 4.9724974078075804E7; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:hNBBZaf0lpS10oqW8xFUIA==

parcelID

f10649998 Location:

Summary Statistics: Valid 2536.0; StDev 1.1975507871502766; Max. 18.0; Min. 1.0; Mean 1.7302839116719242

Variable Format: numeric

Notes: UNF:6:A1LzV9Yezw7NfJ9XFVaRvg==

Parcels used in the minor season

f10649998 Location:

Variable Format: character

Notes: UNF:6:PoHjRrcMRRSJS1r/ihY+3w==

Q8. Which use did you dedicate this parcel to in the minor season?

f10649998 Location:

Value	Label	Frequency
6.	Residential	8
3.	Grazing land	21
1.	Cultivated	1969
2.	Rented out/sharecropped out	11
5.	virgin land	0
4.	Left fallow	527

Summary Statistics: Max. 6.0; Valid 2536.0; Mean 1.6600946372239727; StDev 1.2455841650185047; Min. 1.0

Variable Format: numeric

Notes: UNF:6:8QE4sKYquBWzrmz0ghYeaA==

CQ9_c. How much in cash (KES) did you receive from renting out/share cropping ou

f10649998 Location:

Summary Statistics: StDev 70730.92418711662; Min. 0.0; Max. 240000.0; Valid 11.0; Mean 30681.818181818184

Variable Format: numeric

Notes: UNF:6:F6S4J0IuimsNogJ7t5eJKw==

CQ9_i. How much in inkind did you receive from renting out/share cropping out $

f10649998 Location:

Summary Statistics: Min. 0.0; Valid 11.0; Mean 45.45454545454546; Max. 500.0; StDev 150.7556722888818

Variable Format: numeric

Notes: UNF:6:DV+ZLoKwkgaYaOwEYa0nOg==

minor_bq9_total

f10649998 Location:

Variable Format: character

Notes: UNF:6:7f8YE+PRBUL2GAxGJasRWQ==

CQ10_1. On how many days on average has the primary decision maker, ${first_dec

f10649998 Location:

Summary Statistics: Valid 1969.0; Mean 10.100050787201631; Min. 0.0; StDev 11.003586120794699; Max. 84.0

Variable Format: numeric

Notes: UNF:6:IfrGG97AlfOp4ySykicGmg==

CQ11_1. How many hours per day on average did the primary decision maker, , ${f

f10649998 Location:

Summary Statistics: Max. 10.0; Valid 1969.0; Mean 3.551549009649568; StDev 2.253386991778341; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:qKOl5C+veIzL4QpZGgZxKA==

CQ10_2. On how many days on average has the secondary decision maker, , ${secon

f10649998 Location:

Summary Statistics: Mean 9.988446726572525; StDev 9.76911454524525; Max. 84.0; Min. 0.0; Valid 779.0

Variable Format: numeric

Notes: UNF:6:v8wB0joWU94RG6ezHsg8ZQ==

CQ11_2. How many hours per day on average did the second main decision maker, ,

f10649998 Location:

Summary Statistics: Valid 779.0; StDev 2.07598908658486; Max. 10.0; Mean 3.905006418485238; Min. 0.0

Variable Format: numeric

Notes: UNF:6:YX13xtnVntx8zjNR6+KuAw==

CQ10_3. On how many day on average has the third main decision maker, , ${third

f10649998 Location:

Summary Statistics: Min. 0.0; StDev 10.517142868557366; Valid 17.0; Mean 11.117647058823529; Max. 37.0

Variable Format: numeric

Notes: UNF:6:ze1wLNjh5/pKKNFn/ceYoQ==

CQ11_3. How many hours per day on average did the third decision maker, , ${thi

f10649998 Location:

Summary Statistics: Valid 17.0; Mean 4.117647058823529; Min. 0.0; StDev 2.4719009117776256; Max. 8.0

Variable Format: numeric

Notes: UNF:6:YZPqcSC79IRDjlzL0w1W7w==

CQ12. In addition to the decision maker(s), did any other household member work

f10649998 Location:

Value	Label	Frequency	Text
0.	no	906
1.	yes	1063

Summary Statistics: Mean 0.5398679532757749; Max. 1.0; Min. 0.0; Valid 1969.0; StDev 0.4985346238454187;

Variable Format: numeric

Notes: UNF:6:/+P5+pDkQQboutHSTLuB5A==

CQ13. How many household members excluding the decision makers worked on ${parc

f10649998 Location:

Summary Statistics: StDev 1.1770187321035979; Mean 2.0592662276575724; Min. 1.0; Max. 10.0; Valid 1063.0

Variable Format: numeric

Notes: UNF:6:md6RKT5ny/W9LBsoZbpfPA==

CQ14. How many days has each of the household members worked on ${parcel_minor}

f10649998 Location:

Summary Statistics: Min. 1.0; Max. 90.0; StDev 9.237569018671062; Mean 9.761053621825042; Valid 1063.0;

Variable Format: numeric

Notes: UNF:6:7Kap+7uQqsi4ffOAJwD8Cw==

CQ15. In the days worked how many hours per day on average has each household me

f10649998 Location:

Summary Statistics: Max. 12.0; Mean 4.457196613358426; StDev 1.4014394153660112; Valid 1063.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:CMIj1d9hXWjYoIRgoob4tg==

CQ16. Did you hire any person to work on ${parcel_minor} parcel between October

f10649998 Location:

Value	Label	Frequency	Text
1.	yes	973
0.	no	996

Summary Statistics: StDev 0.5000928947881695; Mean 0.494159471813101; Valid 1969.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:J8odwYI8sAbtFaDCq8n6MA==

CQ17. How many hired workers excluding the decision makers work on ${parcel_min

f10649998 Location:

Summary Statistics: Max. 55.0; StDev 10.012282519116397; Valid 973.0; Mean 9.096608427543648; Min. 1.0

Variable Format: numeric

Notes: UNF:6:u1GOcCOvb1MM04Z6c/6iaA==

CQ18. How many days has each of the hired workers worked on ${parcel_minor} par

f10649998 Location:

Summary Statistics: Mean 3.017112231940676; Valid 973.0; Max. 12.0; Min. 1.0; StDev 2.3037515973640077

Variable Format: numeric

Notes: UNF:6:9w2WHFuxSoW/e1Dm8tmKQQ==

CQ19. In the days worked how many hours per day on average has each hired worker

f10649998 Location:

Summary Statistics: Valid 972.0; Min. 3.0; Mean 5.294238683127572; Max. 7.0; StDev 0.6401014793271299

Variable Format: numeric

Notes: UNF:6:8FL55O9+Du03qDEUbe/GXA==

CQ20_c. What was the total amount of cash payment to the hired workers in ${par

f10649998 Location:

Summary Statistics: Valid 971.0; Min. 100.0; StDev 11013.257338869988; Mean 8171.926879505692; Max. 108000.0

Variable Format: numeric

Notes: UNF:6:92kBctoyepK4CNEPGFrBMg==

CQ20_i. What was the total amount of in-kind payment to the hired workers in ${

f10649998 Location:

Summary Statistics: Max. 3000.0; Valid 40.0; Mean 820.7; Min. 8.0; StDev 833.5885414341157

Variable Format: numeric

Notes: UNF:6:9St4Bf+sxnZqlsLrKJQvRg==

Total amount paid for hired workers in this parcel

f10649998 Location:

Summary Statistics: Mean 3141.864747634006; Valid 2536.0; StDev 7892.229995784102; Max. 108000.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:sPBZk11Vpsg4MB98pTtKlg==

CQ21. Did any other people workon ${parcel_minor} parcel as free/exchange labor

f10649998 Location:

Value	Label	Frequency	Text
1.	yes	196
0.	no	1773

Summary Statistics: StDev 0.2994656391242373; Min. 0.0; Max. 1.0; Mean 0.09954291518537328; Valid 1969.0

Variable Format: numeric

Notes: UNF:6:FKA+BUlwauAN/Ky4g0NNlw==

CQ22. How many free/exchange workers worked on ${parcel_minor} parcel between O

f10649998 Location:

Summary Statistics: StDev 1.696457971597945; Max. 12.0; Mean 2.2346938775510203; Valid 196.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:KrSHIp7WSSfGH4WaEWdrcg==

CQ23. How many days has each of the free/exchange workers worked on ${parcel_mi

f10649998 Location:

Summary Statistics: Max. 19.0; StDev 3.291756783859347; Min. 1.0; Valid 196.0; Mean 3.767551024349369

Variable Format: numeric

Notes: UNF:6:qNbFu32y/tjRUINzuimI8w==

CQ24. In the days worked how many hours per day on average has each free/exchang

f10649998 Location:

Summary Statistics: Max. 8.0; Mean 4.566326530612246; Min. 1.0; StDev 1.207110886717115; Valid 196.0

Variable Format: numeric

Notes: UNF:6:YByEUF7lR5b/d0jkCPKdeg==

CQ35. What was the out-of-pocket total cost (KES) for renting of agricultural eq

f10649998 Location:

Summary Statistics: Mean 3478.53125; StDev 3645.674637274968; Min. 3.0; Valid 672.0; Max. 25000.0;

Variable Format: numeric

Notes: UNF:6:zG35wcPmY0cI1/PfkOsGbA==

household identification number

f10649995 Location:

Summary Statistics: Mean 4.7962118611111075E7; Min. 78.0; StDev 8.390021571177574E7; Valid 342.0; Max. 2.65322029E8;

Variable Format: numeric

Notes: UNF:6:Te8DcOEqvn9+YiJAKfxhPg==

parcelID

f10649995 Location:

Summary Statistics: Min. 1.0; Max. 6.0; Valid 342.0; StDev 1.1159286584561157; Mean 1.9678362573099424

Variable Format: numeric

Notes: UNF:6:FoVC5qyQzJtzgeI0RsZcZg==

Parcels used in the 12month season

f10649995 Location:

Variable Format: character

Notes: UNF:6:FIglC2mHr1EFnwstoTz1eg==

Q8. Which use did you dedicate this parcel to in the minor season?

f10649995 Location:

Value	Label	Frequency
5.	virgin land	8
4.	Left fallow	76
6.	Residential	140
1.	Cultivated	29
2.	Rented out/sharecropped out	23
3.	Grazing land	66

Summary Statistics: StDev 1.6812221337498554; Mean 4.260233918128658; Valid 342.0; Min. 1.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:1qbb8pESj8PdPyI47lya7A==

Q9_c. How much in cash (KES) did you receive from renting out/share cropping out

f10649995 Location:

Summary Statistics: Max. 140000.0; Min. 800.0; StDev 33603.31070175344; Mean 24060.869565217392; Valid 23.0

Variable Format: numeric

Notes: UNF:6:nSIhsE8oEbhQHvGUH7QaIw==

Q9_i. How much inkind (KES) did you receive from renting out/share cropping out

f10649995 Location:

Summary Statistics: StDev 4761.1902720143535; Min. 0.0; Mean 1356.5217391304348; Valid 23.0; Max. 21000.0

Variable Format: numeric

Notes: UNF:6:oYvlYaIYDvfkzZPOV/UXwg==

Q9. How much in total (KES) did you receive from renting out the parcel?

f10649995 Location:

Variable Format: character

Notes: UNF:6:e6o/GNl+xF6b4edgb/0SgQ==

Q10_1. How many days did the first decision maker work on the parcel in the 12 m

f10649995 Location:

Summary Statistics: StDev 34.78374429234256; Max. 174.0; Valid 29.0; Min. 0.0; Mean 21.137931034482758;

Variable Format: numeric

Notes: UNF:6:H3pkpmT3ix7wQKnyc7HhrA==

Q11_1. Average hours per day the primary decision maker work on this parcel in 1

f10649995 Location:

Summary Statistics: Min. 0.0; StDev 2.2055684119302295; Max. 8.0; Mean 2.6896551724137927; Valid 29.0

Variable Format: numeric

Notes: UNF:6:So7ER8cmb9LE/C7rt8nKpw==

Q10_3. How many days did the 3rd decision maker work on the parcel in the minor

f10649995 Location:

Summary Statistics: Min. 0.0; Max. 27.0; Valid 8.0; StDev 9.361776388210581; Mean 5.75

Variable Format: numeric

Notes: UNF:6:0F1qRMPsIPy03XhxBqPgUQ==

Q11_2. Average hours per day the 2nd decision maker work on this parcel in 12 mo

f10649995 Location:

Summary Statistics: Valid 8.0; Max. 6.0; StDev 2.7222627143085005; Mean 2.375; Min. 0.0

Variable Format: numeric

Notes: UNF:6:RtFFrgL+LnKNsdkc5zq/4g==

CQ10_3. On how many days has the third main decision maker, , ${third_decmakern

f10649995 Location:

Summary Statistics: Min. NaN; StDev NaN; Mean NaN; Valid 0.0; Max. NaN

Variable Format: numeric

Notes: UNF:6:DhlQ19NMGpeJuhZmweHnVA==

Q11_3. Average hours per day the 3rd decision maker work on this parcel in 12 mo

f10649995 Location:

Summary Statistics: Valid 0.0; Max. NaN; Mean NaN; Min. NaN; StDev NaN

Variable Format: numeric

Notes: UNF:6:DhlQ19NMGpeJuhZmweHnVA==

Q12. Did any other household member work on this parcel a part from decision mak

f10649995 Location:

Value	Label	Frequency	Text
1.	yes	9
0.	no	20

Summary Statistics: Mean 0.3103448275862069; Min. 0.0; Max. 1.0; Valid 29.0; StDev 0.47082361543075846;

Variable Format: numeric

Notes: UNF:6:s5vqqsQa6ml/0gPeYam4fw==

Q13. How many other household members worked on the parcel excluding decision ma

f10649995 Location:

Summary Statistics: Valid 9.0; Mean 1.6666666666666667; Min. 1.0; Max. 3.0; StDev 0.7071067811865476;

Variable Format: numeric

Notes: UNF:6:8JaLAugQgngRUu1KZEZGwg==

Q14. How many days on average did each members work on the parcel?

f10649995 Location:

Summary Statistics: StDev 4.3237072570242825; Max. 15.0; Min. 2.0; Mean 8.222222222222221; Valid 9.0

Variable Format: numeric

Notes: UNF:6:lnw72QMuXGH+GlYlUb3hKw==

Q15. How many hrs per day on average did each members work on the parcel?

f10649995 Location:

Summary Statistics: Valid 9.0; Mean 4.333333333333333; Min. 2.0; StDev 1.8027756377319946; Max. 8.0

Variable Format: numeric

Notes: UNF:6:4YkJCkXAFplUUXbElKix+g==

Q16. Did you hire any person to work on this parcel in the 12 months?

f10649995 Location:

Value	Label	Frequency	Text
0.	no	17
1.	yes	12

Summary Statistics: Min. 0.0; Mean 0.4137931034482759; Valid 29.0; Max. 1.0; StDev 0.5012300141587651;

Variable Format: numeric

Notes: UNF:6:mqMbIhJ80di/ZjYtDKyeAg==

Q17. How many hired labor worked on the parcel in the 12 months?

f10649995 Location:

Summary Statistics: StDev 4.589802596930273; Mean 4.208333333333334; Valid 12.0; Min. 1.0; Max. 15.0

Variable Format: numeric

Notes: UNF:6:Kl3P4XuMYlKv9YtudC1PPQ==

Q18. How many days on average did each hired worker work on the parcel?

f10649995 Location:

Summary Statistics: StDev 4.2072358450662755; Max. 16.0; Min. 2.5999999046325684; Valid 12.0; Mean 6.358333309491475

Variable Format: numeric

Notes: UNF:6:Mmbm85r3lxSkkTVpgnGF1Q==

Q19. How many hrs per day on average did each hired worker work on the parcel?

f10649995 Location:

Summary Statistics: Valid 12.0; Max. 8.0; StDev 1.4215601757693315; Min. 3.0; Mean 5.708333333333333

Variable Format: numeric

Notes: UNF:6:SZ8ZG4I1JjJqJtkf5hwnnw==

Q20_c. What was the total cash payment to the hired workers?

f10649995 Location:

Summary Statistics: Max. 14000.0; Min. 800.0; Valid 12.0; Mean 5916.666666666667; StDev 3684.0771222144963

Variable Format: numeric

Notes: UNF:6:3OJVMx8syA6irMEOOgAOjg==

Q20_i. What was the total inkind payment to the hired workers?

f10649995 Location:

Summary Statistics: StDev NaN; Valid 0.0; Min. NaN; Mean NaN; Max. NaN;

Variable Format: numeric

Notes: UNF:6:DhlQ19NMGpeJuhZmweHnVA==

Total amount paid for hired workers in this parcel

f10649995 Location:

Summary Statistics: Valid 342.0; Mean 207.6023391812866; StDev 1275.3473840121158; Max. 14000.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:rvcMeAuLWBbEuLk3tLBwHg==

Q21. Did other people work as free/exchange labor this parcel?

f10649995 Location:

Value	Label	Frequency	Text
1.	yes	2
0.	no	27

Summary Statistics: Mean 0.06896551724137931; Min. 0.0; Max. 1.0; StDev 0.2578807147775637; Valid 29.0

Variable Format: numeric

Notes: UNF:6:RXd5TwdxBdwvcI5d5Kmhmw==

Q22. How many free labor worked on the parcel in the 12 months?

f10649995 Location:

Summary Statistics: Mean 2.0; Max. 3.0; Min. 1.0; StDev 1.4142135623730951; Valid 2.0

Variable Format: numeric

Notes: UNF:6:UlzyjaLMpQZRIE1roRY41g==

Q23. How many days on average did each free worker work on the parcel?

f10649995 Location:

Summary Statistics: Mean 8.0; Max. 15.0; StDev 9.899494936611665; Valid 2.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:9ilQAHtypYDrXWx5Bm/cRg==

Q24. How many hrs per day on average did each free worker work on the parcel?

f10649995 Location:

Summary Statistics: Min. 3.0; StDev 0.7071067811865476; Valid 2.0; Max. 4.0; Mean 3.5

Variable Format: numeric

Notes: UNF:6:PsqvQbS1JfOMHyWbN16HVQ==

Q35 Total out of pocket cost (KES) renting agricultural equipment during the 12m

f10649995 Location:

Summary Statistics: Valid 6.0; StDev 4062.01920231798; Min. 500.0; Max. 12000.0; Mean 4500.0

Variable Format: numeric

Notes: UNF:6:6BFbRYG6Nmh4GS9Md9na8A==

household identification number

f10421823 Location:

Summary Statistics: Min. 2.0; StDev 8.521077173321815E7; Max. 2.65322031E8; Valid 2873.0; Mean 4.9337100301427014E7;

Variable Format: numeric

Notes: UNF:6:lprELQV26AAfIaRcRV9D+w==

Parcel ID

f10421823 Location:

Summary Statistics: Max. 18.0; Mean 1.7584406543682558; Min. 1.0; Valid 2873.0; StDev 1.1904854078539957;

Variable Format: numeric

Notes: UNF:6:zi8K+c9bdXdi8Q4O0oXP7w==

Q0. Name of the parcel

f10421823 Location:

Variable Format: character

Notes: UNF:6:OCEY0VlhN4IyX9WBvX+UFA==

Area of parcel in HA

f10421823 Location:

Summary Statistics: Max. 8.09371280670166; Mean 0.5015389943044308; Min. 9.995735017582774E-4; StDev 0.7566595090850802; Valid 2873.0

Variable Format: numeric

Notes: UNF:6:qKmfQm7ZhWEVZFx6dVcejg==

Q2. How long does it take to get to the parcel (minutes one way)?

f10421823 Location:

Value	Label	Frequency
3.	10-30 minutes	631
5.	More than 1 hour	140
2.	Less than 10 minutes	329
4.	30-60 minutes	265
1.	Adjacent to homestead	1508

Summary Statistics: StDev 1.2457651305931539; Valid 2873.0; Max. 5.0; Min. 1.0; Mean 2.0254089801601065

Variable Format: numeric

Notes: UNF:6:aD3sG3W/ZWPz7PONtMkYIw==

Q4. How did your household acquire this parcel?

f10421823 Location:

Value	Label	Frequency
4.	RENTED IN	464
1.	INHERITED	1844
6.	BORROWED FOR FREE	119
999.	OTHER…	0
7.	CLEARED AND OCCUPIED	13
5.	SHARE CROPPED IN	12
3.	GRANTED / ALLOCATED BY GOVERNMENT, LOCAL LEADER OR FARMER ORGANIZATION	35
2.	PURCHASED	386

Summary Statistics: Valid 2873.0; Max. 7.0; Min. 1.0; StDev 1.4501744356768158; Mean 1.8941872607031016;

Variable Format: numeric

Notes: UNF:6:IIUK2iQottBubarUg9YcYQ==

Q5_c. How much in cash (KES) paid to rent in /share crop in parcel in the last 1

f10421823 Location:

Summary Statistics: Mean 12507.789915966427; Min. 0.0; Max. 170000.0; StDev 17382.879064969384; Valid 476.0;

Variable Format: numeric

Notes: UNF:6:wuPiBOeAlfHaXkm2RAUbhA==

Q5_i. How much inkind (KES) paid to rent in /share crop in parcel in the last 12

f10421823 Location:

Summary Statistics: StDev 863.8915774989342; Valid 476.0; Mean 94.22268907563033; Min. 0.0; Max. 16000.0;

Variable Format: numeric

Notes: UNF:6:NeYMsltW9XzqrttXjSpL5w==

Total amount paid to rent in/share crop in the parcel for last 12 months

f10421823 Location:

Summary Statistics: Min. 400.0; Mean 11586.62025316456; Valid 474.0; StDev 13276.928526531146; Max. 84000.0

Variable Format: numeric

Notes: UNF:6:7itHvM2QVJeyVPyzK1AesA==

CQ6. Who in the household owns ${parcel} parcel?

f10421823 Location:

Variable Format: character

Notes: UNF:6:GWksgRyY4jDcTnJMvJQadw==

Household member Id of first parcel owner

f10421823 Location:

Summary Statistics: Min. 1.0; Valid 2267.0; StDev 0.5884529629515644; Max. 10.0; Mean 1.1230701367445965

Variable Format: numeric

Notes: UNF:6:igGP0Tx/6igJL+OLDaNwNw==

Household member Id of second parcel owner

f10421823 Location:

Summary Statistics: StDev 0.3407756008569521; Min. 2.0; Valid 264.0; Mean 2.0416666666666665; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:aH0n4FeV+fg55OWNJ9RfAA==

How many household members are involved in decision making for ${parcel} parcel

f10421823 Location:

Summary Statistics: Mean 1.3870518621649843; Max. 3.0; Min. 0.0; StDev 0.5074645895383163; Valid 2873.0;

Variable Format: numeric

Notes: UNF:6:4hfA1HV/T/V6NqZ9TqzG1g==

Q6_1. Who in the household is the main decision maker for this parcel?

f10421823 Location:

Value	Label	Frequency
4.	${mem4}	4
15.	${mem15}	0
3.	${mem3}	11
8.	${mem8}	0
17.	${mem17}	0
11.	${mem11}	0
21.	${mem21}	0
12.	${mem12}	0
10.	${mem10}	0
13.	${mem13}	0
2.	${mem2}	340
5.	${mem5}	5
19.	${mem19}	0
9.	${mem9}	0
1.	${mem1}	2513
16.	${mem16}	0
22.	${mem22}	0
7.	${mem7}	0
18.	${mem18}	0
20.	${mem20}	0
14.	${mem14}	0
6.	${mem6}	0

Summary Statistics: Min. 1.0; Valid 2873.0; StDev 0.3940572127288271; Mean 1.1371388792203274; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:L2048jxG8TAJ2LRMTFfG/A==

Q6_2. Who in the household is the 2nd main decision maker for this parcel?

f10421823 Location:

Value	Label	Frequency
9.	${mem9}	0
18.	${mem18}	0
3.	${mem3}	15
22.	${mem22}	0
13.	${mem13}	0
19.	${mem19}	0
4.	${mem4}	1
7.	${mem7}	3
1.	${mem1}	163
15.	${mem15}	0
2.	${mem2}	896
12.	${mem12}	0
8.	${mem8}	3
10.	${mem10}	2
16.	${mem16}	0
21.	${mem21}	0
14.	${mem14}	0
5.	${mem5}	1
17.	${mem17}	0
20.	${mem20}	0
6.	${mem6}	3
11.	${mem11}	0

Summary Statistics: Max. 10.0; Mean 1.9245630174793011; Valid 1087.0; Min. 1.0; StDev 0.7076366961719586

Variable Format: numeric

Notes: UNF:6:zewxPaxxV6jA+rps8kVVJA==

Q6_3. Who in the household is the 3rd main decision maker for this parcel?

f10421823 Location:

Value	Label	Frequency
13.	${mem13}	0
22.	${mem22}	0
1.	${mem1}	1
2.	${mem2}	1
7.	${mem7}	3
14.	${mem14}	0
5.	${mem5}	0
10.	${mem10}	0
16.	${mem16}	0
9.	${mem9}	0
20.	${mem20}	0
15.	${mem15}	0
11.	${mem11}	0
8.	${mem8}	0
21.	${mem21}	0
3.	${mem3}	15
18.	${mem18}	0
6.	${mem6}	0
17.	${mem17}	0
19.	${mem19}	0
4.	${mem4}	6
12.	${mem12}	1

Summary Statistics: Min. 1.0; Max. 12.0; Valid 27.0; StDev 2.1363760352762258; Mean 3.8888888888888884

Variable Format: numeric

Notes: UNF:6:C5CdMRTNo/1SkcbZch1FMA==

CQ33_1. Do you have soil erosion on parcel ${parcel}?

f10421823 Location:

Value	Label	Frequency	Text
0.	no	1244
1.	yes	1629

Summary Statistics: Valid 2873.0; StDev 0.4955764970266641; Max. 1.0; Mean 0.5670031326139929; Min. 0.0

Variable Format: numeric

Notes: UNF:6:51X1T+8D0bcEpTo0ghHg7g==

CQ33_2. What 3 types of measures are you using to control soil erosion on ${par

f10421823 Location:

Variable Format: character

Notes: UNF:6:JiKeHSMX/na/oGY0Mc0VAA==

Stone terraces

f10421823 Location:

Value	Label	Frequency	Text
0.	no	1499
1.	yes	130

Summary Statistics: Mean 0.07980356046654394; Min. 0.0; StDev 0.27107205622841807; Valid 1629.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:8rrrHhwM6aGajLGuhR2WbQ==

Fanya juu/chini

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	346
0.	no	1283

Summary Statistics: StDev 0.4091321754670459; Mean 0.2124002455494169; Min. 0.0; Valid 1629.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:6o1Wip7q0kMBTQi5mr87ZA==

Other terrace

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	170
0.	no	1459

Summary Statistics: Mean 0.10435850214855732; Max. 1.0; Min. 0.0; StDev 0.30581892981731607; Valid 1629.0

Variable Format: numeric

Notes: UNF:6:cBcoBY2q2oilmE8j35yE+g==

Grass strips/barriers (e.g, vetiver grass)

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	400
0.	no	1229

Summary Statistics: Max. 1.0; Valid 1629.0; StDev 0.43054464769171735; Mean 0.24554941682013506; Min. 0.0

Variable Format: numeric

Notes: UNF:6:RxnNSwv4dtjmNDYStOZ8Lw==

Drainage/ditches

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	701
0.	no	928

Summary Statistics: Max. 1.0; Min. 0.0; Valid 1629.0; StDev 0.49527368625997187; Mean 0.4303253529772862

Variable Format: numeric

Notes: UNF:6:0yA8jCk6QP8/P2IKBqejsA==

Trash lines

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	54
0.	no	1575

Summary Statistics: Min. 0.0; Mean 0.033149171270718224; Max. 1.0; Valid 1629.0; StDev 0.17908096111403826;

Variable Format: numeric

Notes: UNF:6:36E0D5/CPCAuJKQyRugGkQ==

Planting trees

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	173
0.	no	1456

Summary Statistics: StDev 0.3081881931276304; Max. 1.0; Min. 0.0; Valid 1629.0; Mean 0.10620012277470851;

Variable Format: numeric

Notes: UNF:6:jrmgBTeXhBpUd2SnDatKcQ==

Ripping

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	1
0.	no	1628

Summary Statistics: Mean 6.138735420503391E-4; Max. 1.0; StDev 0.024776471541572136; Min. 0.0; Valid 1629.0

Variable Format: numeric

Notes: UNF:6:t8FdyMBj7YKMfQXzwygiLA==

Contour bands

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	31
0.	no	1598

Summary Statistics: Max. 1.0; Min. 0.0; Valid 1629.0; StDev 0.13667261121857446; Mean 0.01903007980356046;

Variable Format: numeric

Notes: UNF:6:xFmAFLMN6jCpJ/yr6OIriw==

Market ridges

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	0
0.	no	1629

Summary Statistics: Min. 0.0; Mean 0.0; Valid 1629.0; StDev 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:uSXOi5yqbcehOs55AUjNWg==

Ditches/swales

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	32
0.	no	1597

Summary Statistics: Max. 1.0; Valid 1629.0; Min. 0.0; Mean 0.019643953345610848; StDev 0.13881605715094988

Variable Format: numeric

Notes: UNF:6:1BLlGONBfCNzgTx0RdS+JA==

Box ridges

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	2
0.	no	1627

Summary Statistics: Max. 1.0; StDev 0.03502845899693712; Mean 0.001227747084100678; Min. 0.0; Valid 1629.0

Variable Format: numeric

Notes: UNF:6:+5nKQZu1l0HuTS2NBp+0HA==

None

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	222
0.	no	1407

Summary Statistics: Min. 0.0; StDev 0.34319092360550607; Valid 1629.0; Max. 1.0; Mean 0.13627992633517497;

Variable Format: numeric

Notes: UNF:6:8BcwGwV0MSWAAQm//zP9Yw==

CQ34. Last 12 months, how many total labor days were spent on construction and m

f10421823 Location:

Summary Statistics: Min. 0.0; Max. 300.0; Valid 2873.0; StDev 10.705583739558973; Mean 4.892098851374889

Variable Format: numeric

Notes: UNF:6:M/7TNHJZOpOSFHRok0573w==

Q7. Did you change use of this parcel in the last 12 months?

f10421823 Location:

Value	Label	Frequency	Text
1.	yes	2531
0.	no	342

Summary Statistics: Min. 0.0; Valid 2873.0; Max. 1.0; StDev 0.32389115992927126; Mean 0.8809606682909868

Variable Format: numeric

Notes: UNF:6:+20d0FZOfIJS5LnA6mw/4g==

household identification number

f10421825 Location:

Summary Statistics: StDev 8.710487874257968E7; Valid 7955.0; Max. 2.65322031E8; Mean 4.8668755122061774E7; Min. 2.0

Variable Format: numeric

Notes: UNF:6:YZYGgeOGv6/5Or5O4ZuEmg==

parcelID

f10421825 Location:

Summary Statistics: Mean 1.4297925832809557; Max. 18.0; StDev 0.8687821323454824; Valid 7955.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:/jJnNckyaDwfND7924vcAw==

Name of the cultivated parcel in the main season

f10421825 Location:

Variable Format: character

Notes: UNF:6:sS5qd+/wl7tZcdyTs2bklA==

Crop names

f10421825 Location:

Value	Label	Frequency
105.	Broccoli	0
122.	Groundnut/Peanut	257
124.	Leeks	0
132.	Pumpkin leaves	11
319.	Lime/Lemon	37
323.	Orange/Tangerine	72
315.	Garlic	0
152.	Indigenous vegetables	192
109.	Cassava	240
128.	Okra	0
309.	Coconut	0
116.	Capsicum (hoho)	2
311.	Coffee	4
125.	Maize fodder	1
153.	Bambara bean	1
325.	Pawpaw/Papaya	179
146.	Pearl millet (Mawele)	4
138.	Peas green	8
145.	Sweet potato	192
888.	Other seasonal crops	0
327.	Plantain	2
114.	Cowpea	90
334.	Tree tomato	3
308.	Cocoa	0
143.	Soybean	32
398.	Other perennial crops	3
121.	French beans	2
133.	Other cereals	0
312.	Colanut	0
136.	Pepper (Bell)	1
130.	Onion	19
303.	Banana (cooking)	334
134.	Other pulses, nuts	11
115.	Cowpea leaves	314
399.	Other tree crops	102
304.	Banana (ripe)	397
306.	Cashew	0
322.	Oil palm	0
320.	Mangoes	307
326.	Pineapple	3
108.	Cauliflower	0
305.	Baobab	0
119.	Finger millet	31
137.	Irish potato	194
103.	Beetroots	2
316.	Ginger	0
110.	Carrot	3
318.	Khat (Mira)	0
151.	Watermelon	1
129.	Oats	0
104.	Brinjals (Biringanya)	1
148.	Tobacco	1
102.	Bean	1505
336.	Jack fruit	23
101.	Arrow roots	34
127.	Maize green	11
313.	Cotton	1
131.	Pumpkin	22
332.	Sugarcane	77
112.	Corriander	2
135.	Green grams	156
324.	Passion Fruit	45
301.	Avocado	334
335.	Guavas	114
147.	Tiger nut	0
317.	Macademia	1
142.	Sorghum/Guinea corn	335
139.	Pigeon pea (mbaazi)	12
149.	Tomatoes	23
141.	Sesame seeds	3
333.	Yam	0
118.	Dolicos (Njahi)	4
140.	Rice	0
120.	Field peas	0
314.	Tea	24
107.	Cabbage	4
331.	Custard apple (matomoko)	17
321.	Nappier grass	175
330.	Shea nut	0
154.	Commercial grass/pasture	8
144.	Spinach	19
113.	Courgette	0
111.	Chickpea	0
337.	Sisal	2
117.	Cucumber	0
126.	Maize	1777
310.	Cocoyam	1
123.	Kale	171
106.	Butter nuts	2
150.	Wheat	0

Summary Statistics: Min. 101.0; Valid 7955.0; Max. 399.0; StDev 90.13398521573515; Mean 176.86411062225028;

Variable Format: numeric

Notes: UNF:6:qhfFLFh2DUrxJSt2t7dRBw==

Crop variety ID

f10421825 Location:

Summary Statistics: Mean 176.75003145049402; Max. 888.0; Min. 100.0; StDev 152.56347706292112; Valid 7949.0;

Variable Format: numeric

Notes: UNF:6:iQy3/uCi/xhzlmgxH61JuA==

Q1a. What variety of crop did you mostly grow in this parcel?

f10421825 Location:

Value	Label	Frequency
506.	Bravo F1)	0
717.	Jubilee F1	0
646.	Glenn	0
317.	H9401	0
612.	Shibe	0
228.	KH125-01-SG (MALAIKA 125)	0
619.	Nzalauka	0
552.	Kampala	2
637.	06K485	0
239.	KH600-23A	0
375.	WH507	5
116.	Kat-Bean 9	7
530.	Shepard	0
119.	Miezi Mbili	5
121.	Kenya Red Kidney (Nyayo)	57
652.	Vandyke	0
602.	Uganda Green	0
603.	Uganda Green	0
163.	GBK 043254	0
435.	Unica	0
168.	KAK-Wimbi 1	0
320.	KDV1	0
673.	Marmande	0
209.	H517	0
640.	Ngowe mango	6
521.	Sukari F1	1
486.	KS-sorg2	0
498.	Rio Grande	0
426.	Sagitta	0
564.	Prata	0
466.	2Kx17	0
581.	FHIA17	1
634.	AF0903	0
504.	Tyuka F1	0
147.	KKRIL05/RED13	1
111.	Kat X 69	0
128.	Cianku	0
629.	MM96/4271	1
196.	DH04	1
357.	Sawa	0
231.	KH500-39E	0
208.	H516	0
438.	Zafira	0
707.	KTRI 914/28	0
462.	KAT 557	0
363.	Tosheka (MH-401)	3
319.	Hodari (MH 501)	0
675.	Cal-J	2
350.	PAN 691	0
144.	KCB 13-02	0
593.	Ngombe	2
570.	Valery	1
253.	PAN 4M-21	0
547.	FHIA17	0
604.	Valery	1
214.	H6210	0
591.	muraru	0
372.	WH403	0
245.	P30G19	0
406.	Kenya mpya	0
419.	Nyota	0
215.	H6213	1
181.	U-15 (MARIDADI)	0
663.	Clementine	0
321.	KDV4	0
305.	H519	0
391.	Caruso	0
167.	KACIMMI 65	0
216.	H6218	0
109.	Kat X 16	1
309.	H6210	0
277.	WH504	0
457.	KAT 60/8	0
580.	FHIA 23	0
295.	DK8031	180
433.	Tigoni	0
330.	KH600-11D	0
175.	Maseno 60D	0
255.	PAN 7M-81	0
332.	KH600-16A	0
291.	DH04	50
297.	DKC90-89	7
260.	Punda Milia 53 (513)	0
347.	PAN 3M-05	1
369.	WE3106	0
562.	Paz	0
628.	MM98/3567	0
548.	Giant Cavendish	3
287.	AMINIKA WH 507	4
630.	MM98/0291	0
518.	Prostar F1	1
158.	Kitui black eye	2
703.	KTRI 895/17	0
524.	Charleston grey	0
655.	Moro	0
661.	Tangerine	9
148.	KKRIL05/CAL33	0
698.	Saruch	0
308.	H614D	38
358.	SC Punda Milia 53 (SC513)	2
701.	Ruiru F1	3
551.	GT Kisii apple banana	3
389.	Asante	1
171.	KAK-Wimbi 4	0
230.	KH500-31A	0
373.	WH504	4
184.	Thousand Headed	0
382.	Ks20 (Uncle)	4
100.	Local variety	5090
728.	Red creole	0
454.	Peacock/ICEAP00850	0
606.	Kaleso	0
641.	Apple mango	15
302.	H513	35
618.	Siri	0
191.	AMINIKA WH 507	0
651.	Valencia	4
341.	P3253	76
156.	KVU 419	0
286.	AMINIKA WH 505	63
256.	PH1 (Pwani Hybrid)	1
516.	Caltana F1	0
386.	Annet	0
226.	KDV4	0
212.	H522	0
368.	WE2107	0
126.	Chelalang	0
535.	Carmen	1
299.	Duma 43 (SC 43)	111
335.	Kishindo DLH458	0
633.	KSA 81 M	0
236.	KH600-15A	0
587.	Kifutu	0
187.	AMINIKA WH 401	0
631.	MM96/7151	1
677.	Star 9065F1	0
137.	KK RED BEAN-16	0
575.	Dwarf Cavendish	2
722.	Syova	0
213.	H614D	0
584.	Gross Michel	0
715.	Tumbili	5
659.	Hamlin	0
377.	WH605	3
480.	KARIA-SH2	0
360.	Sungura 301 (SC301)	186
436.	Voyager	0
485.	KS-sorg1	0
681.	Mituki	0
560.	Ngombe	4
294.	DK777	89
662.	Satsuma	0
296.	DKC8033	51
395.	Derby	0
671.	Rio Grande	4
721.	Dominator F1 Hybrid	0
568.	Uganda Green	8
416.	Mayan gold	0
665.	Vega F1	0
189.	AMINIKA WH 504	0
159.	P-224	0
201.	DKC8033	0
538.	local variety	68
669.	Sinta F1	0
414.	Manitou	0
293.	DH101	2
610.	KME 61	0
397.	Destiny	0
658.	Scarlet navel	1
218.	H625	0
401.	Faluka	0
468.	IS8595	0
508.	Koko (JKUAT)	0
520.	Faulu	0
173.	KNE 629	0
487.	SC Smile	0
312.	H624	5
333.	KH600-20A	0
146.	KCB13-11	0
143.	KAT-SW-13	0
339.	P2809W (2809W)	6
447.	ICEAP00040	0
284.	AMINIKA WH 403	1
238.	KH600-20A	0
550.	Gross Michel	0
636.	06K486	0
481.	Kibuyu	0
540.	Chinese Cavendish	1
112.	KK 22 (RWR 719)	0
224.	Hodari (MH 501)	0
102.	Rosecoco (GLP2)	157
346.	PAN 3M-01	0
125.	Kabete Super	0
104.	Canadian Wonder (GLP-24)	0
351.	PAN 7M-81	0
545.	FHIA 23	0
670.	Money Maker	0
465.	BJ28	0
402.	Jelly	0
407.	Kenya sifa	0
274.	WE4141	0
492.	Sweet Sorg 14	0
164.	I.E. 4115	0
501.	Roma F1	0
176.	MSU FM 60D	0
269.	Twiga 81	0
711.	Bareto F1	0
704.	TRFK 597/1	1
345.	PAN 15	5
569.	Uganda Green	1
248.	P3812W (3812W)	0
254.	PAN 691	1
594.	Ngombe	3
600.	Soth	5
710.	KTRI 914/41	0
456.	Egerton Mbaazi M1	0
696.	Milele	0
153.	MTW 610	0
483.	KSBH-01	0
583.	Grand Nain	0
608.	5543/156	0
264.	Sungura 301 (SC301)	0
385.	Ambition	0
649.	Valencia pride	0
384.	Acoustic	0
405.	Kenya mavuno	0
476.	Sila	0
394.	Connect	0
623.	KME3	0
251.	PAN 3M-05	0
537.	Sharwil	0
133.	MN3 (Kenya Almasi)	0
431.	Sifra	0
515.	Shujaa F1	1
678.	Roma Vf	0
276.	WH403	0
418.	Musica	0
423.	Royal	0
648.	Atauflo	1
123.	Kenya Wonder	0
237.	KH600-16A	0
380.	KAT 00309 (Ndengu Karembo)	3
359.	Simba 61 (SC627)	7
577.	FHIA 01-Gold finger	0
162.	EUFM 503	0
500.	Onyx F1	0
316.	H6506	1
439.	3H17	0
396.	Desiree	1
625.	MM95/0183	0
650.	Keitt	0
135.	MN9 (Kenya Maua)	0
303.	H516	7
539.	Apple	0
326.	KH500-39E	0
200.	DK8031	1
364.	TSAVO WE 4141	14
232.	KH500-43A	0
449.	KARI Mbaazi 1	0
393.	Chulu	0
190.	AMINIKA WH 505	0
607.	Guzo	0
392.	Challenger	0
522.	Early scarlet F1	0
478.	Legio	0
136.	KK ROSECOCO- 194	7
331.	KH600-15A	0
708.	KTRI 914/39	0
666.	Sunrise	1
170.	KAK-Wimbi 3	0
371.	WH401	0
352.	PH1 (Pwani Hybrid)	7
108.	Kat/Bean 2	3
588.	Kiganda	5
361.	SY594	0
289.	Bazooka	1
713.	SS4	1
731.	Best Africa	3
624.	KME4	0
261.	Sawa	0
142.	KAT-SW-12	0
458.	Mituki	0
689.	Tausi	0
114.	KK 8 (SCAM-80/15	0
403.	Kenya baraka	0
733.	Pruktor F1	1
464.	Seredo	72
714.	Tumbili	0
408.	Kerr’s pink	0
166.	KACIMMI 49	0
517.	Monset F1	0
336.	KSTDV01	0
702.	Batian	0
223.	HARAKA (WH 101)	0
283.	AMINIKA WH 401	0
463.	Serena	5
280.	WH509	0
210.	H519	0
507.	Mavuno F1	1
362.	Tembo 73 (SC719)	1
571.	Williams	0
484.	KSBH-02	0
149.	KCB13-04	0
599.	Sialamuli	1
680.	Mituki	1
105.	GLP-92 Pinto bean	0
470.	Ikinyaluka	0
150.	Randa	2
177.	Nakuru 1	0
117.	Wairimu Dwarf	113
124.	Kenya Sugar Bean	0
546.	FHIA 23	0
381.	KAT 00308 (Ndengu Biashara)	1
165.	KACIMMI 42	0
118.	New Rose Coco	15
151.	M66	0
411.	Lady amarilla	0
668.	Red royale F1	3
259.	Punda Milia 529 (SC529)	0
510.	Nyati F1	0
549.	Grand Nain	1
525.	Pato F1	0
140.	KMR 12 (Metameta)	0
635.	AF0904	0
244.	P2809W (2809W)	0
290.	DH 02	2
697.	Kale keeper	1
179.	OKHALE-1	0
611.	MUCERICERI	0
288.	AMINIKA WH 509	0
141.	KMR13 (Faida)	0
474.	E1291	0
180.	SDFM 1702	0
645.	Francis	0
726.	Green bell F1	3
110.	Kat X56	3
440.	1HD1	0
268.	TSAVO WE 4141	0
329.	KH500-52A	0
437.	Wanjiku	1
471.	IS8193	0
398.	Dutch robijn	0
477.	KARI16 Mtama 2	0
240.	Kishindo DLH458	0
531.	Reed	1
348.	PAN 4M-19	0
543.	FHIA 01-Gold finger	0
233.	KH500-49A	0
532.	Wurtz	0
388.	Arnova	0
491.	Sweet Sorg 4	0
355.	Punda Milia 529 (SC529)	1
374.	WH505	108
432.	Taurus	0
314.	H628	0
578.	FHIA 19	2
444.	3C48	0
441.	6B170	0
497.	EUSS 11	0
101.	Mwitemania (GLP 92)	498
219.	H628	0
574.	Chinese Cavendish	0
204.	Duma 43 (SC 43)	2
627.	Katune (990005)	0
221.	H6506	0
185.	Collard	0
622.	KME2	0
198.	DH101	0
647.	Madame francique	0
582.	Giant Cavendish	4
505.	Chonto F1	0
676.	M-82	0
344.	PAN 14	5
328.	KH500-49A	0
265.	SY594	0
292.	DH08	0
122.	Super Rose Coco	2
452.	Kat/Mbaazi 3	0
420.	Panamera	0
421.	Purple gold	1
616.	Karibuni	0
601.	Sukari	55
115.	KK 15 (MLB 49/879)	0
511.	Pesa F1	0
615.	Nzalauka	0
194.	Bazooka	0
311.	H6218	0
356.	Punda Milia 53 (513)	5
576.	Exera	0
443.	3C22	0
155.	KVU27-1	0
249.	PAN 14	0
428.	Saviola	0
638.	HA-211 / Intercott 211	0
257.	PH4	0
699.	Salgaa	0
338.	Mituki (KDH 3)	0
712.	Migyeera	3
424.	Rumba	0
596.	Paz	0
542.	Exera	0
134.	MN6 (Kenya Cheupe)	2
211.	H520	0
178.	Nakuru/FMI	0
716.	Tumbili	0
690.	Sukuma siku/Malkia	2
349.	PAN 4M-21	0
183.	Mfalme F1	1
654.	Maltese	0
138.	KAD 02 (Nyota)	1
527.	Golden Midget	0
174.	KNE 741	0
519.	Joy F1	0
730.	Nylon	1
694.	Safari	1
227.	KDV6	0
496.	EUSS 10	0
642.	Dodo	43
442.	1G70	0
206.	H512	0
304.	H517	1
469.	Gadam	4
566.	Soth	2
700.	Crotolaria	0
103.	Mwezi Moja (GLP1004)	5
367.	WE1101	0
718.	Julie F1	0
107.	GLP-X 1127 New Mwezi Moja	0
412.	Laura	0
534.	Gem	0
514.	M82	0
565.	Sialamuli	2
285.	AMINIKA WH 504	5
656.	Sanguinelli	0
400.	Evora	0
620.	Karibuni	0
241.	KSTDV01	0
301.	H512	5
679.	Mituki	0
503.	Anna F1	0
695.	Molo seed	0
376.	WH509	5
169.	KAK-Wimbi 2	0
131.	EMBEAN14 (MWENDE)	0
434.	Toluca	0
370.	WE4141	0
343.	P3812W (3812W)	23
585.	GT Kisii apple banana	4
120.	Kenya early	0
660.	Mandarin	2
691.	Sugarloaf	0
579.	FHIA 23	0
222.	H9401	0
502.	Kilele F1	1
455.	Karai	0
425.	Rudolph	0
706.	KTRI 914/11	2
262.	SC Punda Milia 53 (SC513)	0
307.	H522	0
323.	KH125-01-SG (MALAIKA 125)	0
556.	Mbolokama	1
242.	MILIMA WH 605	0
409.	Konjo	0
589.	Manyatta	0
725.	Georgia	1
383.	KAT N26 (Nylon)	9
186.	ADV 2308W	0
113.	Kat/Bean 1 (Katheka)	47
685.	Mfalme F1	8
672.	Marglobe	0
387.	Arizona	0
563.	Poyo	0
306.	H520	1
723.	Tunda F1	0
315.	H629	0
152.	MTW 63	0
683.	Danny F1	2
613.	Tajirika	0
207.	H513	0
473.	Kari Mtama 1	0
643.	Boribo	1
614.	Siri	0
479.	Kaburu	0
561.	Nusu-Ngombe	5
379.	KAT 00301 (Ndengu Tosha)	4
413.	Lenana	0
639.	Kent	3
129.	Mbigo	0
415.	Markies	0
674.	Elgon Ndume	0
559.	Ngombe	8
263.	Simba 61 (SC627)	0
729.	Gloria	2
234.	KH500-52A	0
281.	WH605	0
445.	1 HG	0
229.	KH500-22A	0
453.	ICEA P00068	0
448.	(Kat/Mbaazi 2)	0
145.	KCB13-09	0
327.	KH500-43A	0
541.	Dwarf Cavendish	0
617.	Karembo	0
275.	WH401	0
422.	Rodeo	0
132.	MN1( Rosecoco Madini)	2
450.	KARI Mbaazi 2	0
451.	Katumani 60/8	0
272.	WE2107	0
205.	EVAZEA (WE1101)	0
626.	Cassava variety Katsuhanzala (990132)	0
558.	Mysore	0
429.	Shangi	31
243.	Mituki (KDH 3)	0
310.	H6213	7
430.	Sherekea	0
271.	WE1101	0
719.	Sweety F1	0
687.	Ultravetis	0
586.	Kampala	6
467.	IS76	0
139.	KMR 11 (Angaza)	0
555.	Manyatta	0
235.	KH600-11D	0
528.	Hass	32
598.	Prata	0
488.	EUSH 1 Hybrid	0
493.	Sweet Sorg 17	0
354.	PHB30G19 (30G19)	15
127.	Tasha	0
684.	Collards	32
459.	Kajani	0
727.	Detroit Dark Red	1
472.	KAT/PRO I	0
279.	WH507	0
705.	TRFK 704/2	0
553.	Kifutu	0
597.	Poyo	0
278.	WH505	0
157.	Zebra	0
353.	PH4	8
461.	KAT 554	0
318.	HARAKA (WH 101)	67
250.	PAN 15	0
544.	FHIA 19	0
266.	Tembo 73 (SC719)	0
197.	DH08	0
199.	DK777	0
427.	Sarpo mira	0
203.	DUMA 419	0
172.	Kat/FM I	0
489.	KM 32 -1	1
494.	Sweet Sorg 21	0
366.	Twiga 83	0
365.	Twiga 81	0
482.	Hybrid Mtama 1-SH-01	0
322.	KDV6	0
188.	AMINIKA WH 403	0
536.	Pinkerton	0
499.	Carl J	1
195.	DH 02	0
709.	KTRI 895/7	1
557.	muraru	4
605.	Williams	0
512.	Emerald	0
193.	AMINIKA WH 509	0
334.	KH600-23A	0
446.	Kat 777	0
682.	Bawito F1	1
220.	H629	0
410.	Kuroda	0
202.	DKC90-89	0
417.	Milva	0
160.	EUFM 401	0
399.	El-mundo	0
404.	Kenya karibu	0
523.	Sugar baby	0
495.	Sweet Sorg 1	0
390.	Carolus	0
592.	Mysore	0
298.	DUMA 419	20
273.	WE3106	0
340.	P30G19	29
154.	K80	0
324.	KH500-22A	0
247.	P3506W (3506W)	0
664.	Solo	2
573.	Apple	0
490.	E97	0
258.	PHB30G19 (30G19)	0
252.	PAN 4M-19	0
609.	KME 1	0
217.	H624	0
590.	Mbolokama	2
270.	Twiga 83	0
300.	EVAZEA (WE1101)	0
595.	Nusu-Ngombe	2
282.	ADV 2308W	0
567.	Sukari	1
667.	Mountain	0
130.	KAT-RM01 (KATRAM)	0
246.	P3253	2
460.	Mbaazi 4	0
533.	Mulama	0
526.	Sweet beauty	0
653.	Washington navel	2
325.	KH500-31A	0
106.	GLP-585 Red haricot	1
657.	Tarocco	0
342.	P3506W (3506W)	13
475.	E6518	1
509.	Chika (JKUAT)	0
724.	Sabasaba	5
513.	Money Maker	1
554.	Kiganda	6
225.	KDV1	0
529.	Lamb Hass	0
732.	Ford Hook Giant	1
720.	Tiger F1 Hybrid	0
337.	MILIMA WH 605	0
644.	Tommy Atkins	2
161.	EUFM 502	0
267.	Tosheka (MH-401)	0
621.	Karembo	1
313.	H625	4

Summary Statistics: Min. 100.0; Valid 7949.0; Mean 175.41954962888138; StDev 148.8960820720962; Max. 888.0

Variable Format: numeric

Notes: UNF:6:+GDC9mgfFGoG1wG3yKZjrw==

Q2. Was this crop grown in this parcel an intercrop or pure stand?

f10421825 Location:

Value	Label	Frequency	Text
1.	purestand	3776
2.	Intercrop	4179

Summary Statistics: Min. 1.0; Valid 7955.0; Max. 2.0; Mean 1.5253299811439296; StDev 0.4993893692472108

Variable Format: numeric

Notes: UNF:6:/X1XvOHAfSo/DqBKqa5Grw==

Q7. Approximately what proportion of the parcel was planted with this crop?

f10421825 Location:

Summary Statistics: Valid 7948.0; Max. 100.0; StDev 26.061348945011755; Min. 0.0058999997563660145; Mean 25.01549458015689;

Variable Format: numeric

Notes: UNF:6:D4l+uSlDBJ0LCLAMLG59RQ==

Area of parcel with the crop in HA

f10421825 Location:

Summary Statistics: Valid 7955.0; StDev 0.16755072137314264; Max. 1.4163997173309326; Mean 0.09946560804999803; Min. 2.0234281691955402E-5;

Variable Format: numeric

Notes: UNF:6:+67gwpHeeHk0m/hKNtV+SQ==

Have you planted the same crop and same variety in the parcel for last 12 months

f10421825 Location:

Value	Label	Frequency	Text
0.	no	4290
1.	yes	1408

Summary Statistics: Valid 5698.0; StDev 0.4313657318415708; Min. 0.0; Max. 1.0; Mean 0.24710424710424744

Variable Format: numeric

Notes: UNF:6:2ysyxPrgs0lSP2XO0nZ4cQ==

Q2. Is this crop a fruit tree?

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	1976
0.	no	281

Summary Statistics: Mean 0.8754984492689379; Valid 2257.0; Min. 0.0; Max. 1.0; StDev 0.3302260295689364

Variable Format: numeric

Notes: UNF:6:8aO1LjRZsiu4i3xAbtOATQ==

Q6. Please list the variety/ies of this ${cropname} you cultivate on this ${pa

f10421825 Location:

Variable Format: character

Notes: UNF:6:fKmHdDvWY9k+Xn8sFlF8VA==

Is the tree in this parcel native or exotic

f10421825 Location:

Value	Label	Frequency	Text
1.	Native	2052
2.	Exotic	205

Summary Statistics: Valid 2257.0; Max. 2.0; StDev 0.28742879988109293; Mean 1.0908285334514845; Min. 1.0

Variable Format: numeric

Notes: UNF:6:U8lcC0QR/GjScjLjPzLYSw==

Q3. What is the main use of the tree in the parcel?

f10421825 Location:

Value	Label	Frequency
6.	Fodder	159
88.	Other use	16
5.	Medicinal	2
4.	Food-Leaves/canes	102
2.	Timber	56
1.	Fuel	25
3.	Food - Fruits	1897

Summary Statistics: Mean 3.8139122729286554; Max. 88.0; StDev 7.164537963833282; Min. 1.0; Valid 2257.0

Variable Format: numeric

Notes: UNF:6:3RNxUerwpOUdw1jGaRmT6A==

Q4. Number of trees planted on the parcel since 2018

f10421825 Location:

Summary Statistics: StDev 115.3179562487075; Min. 0.0; Valid 2215.0; Max. 3000.0; Mean 19.934537246050066

Variable Format: numeric

Notes: UNF:6:UaeNxnJvvqECv+Y191OVbA==

Q5. Number of trees planted in the parcel since 2020

f10421825 Location:

Summary Statistics: Min. 0.0; Mean 18.752885268159964; Max. 1500.0; Valid 1473.0; StDev 100.94575212006366;

Variable Format: numeric

Notes: UNF:6:XcVZ0EMaqMAgzh/YIyGuAg==

Q9. What type of seed was mostly used for this crop?

f10421825 Location:

Value	Label	Frequency	Text
2.	Improved	2865
1.	Traditional	5090

Summary Statistics: Min. 1.0; Valid 7955.0; StDev 0.480074147081659; Mean 1.3601508485229363; Max. 2.0

Variable Format: numeric

Notes: UNF:6:8ijE9O1+Jo0aR43m6hRKng==

DQ10. Why did you choose to use these seeds for ${cropname} in this${parcel_cu

f10421825 Location:

Value	Label	Frequency
1.	Unavailability of improved seeds	155
88.	Other	46
3.	Preference for traditional variety	600
6.	Advice from fellow farmer	454
4.	Advice from extension officer	47
7.	Suitable for this area	4021
5.	Advice from input supplier	149
2.	Improved variety is too expensive	516

Summary Statistics: StDev 7.421746421740875; Max. 88.0; Mean 6.486138944555774; Min. 1.0; Valid 5988.0;

Variable Format: numeric

Notes: UNF:6:FInDi88KP5/DuKvav+L/aA==

Q11. Did you purchase any seeds used for this crop?

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	4018
0.	no	1970

Summary Statistics: Min. 0.0; Valid 5988.0; Mean 0.671008684034729; StDev 0.46988605272652667; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:cFqrRoLK3cHQP0cjCzG4mA==

D2Q12. What was/were the source(s) of seeds for this ${cropname} in this${parc

f10421825 Location:

Variable Format: character

Notes: UNF:6:odImtjct8JNXW9nnp8rahQ==

Seed source: Local market

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	2264
0.	no	1754

Summary Statistics: StDev 0.4960176422985426; Min. 0.0; Mean 0.5634644101542973; Max. 1.0; Valid 4018.0

Variable Format: numeric

Notes: UNF:6:fggtYjvDk9CW/N70v2pkyA==

Seed source: Social network

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	307
0.	no	3711

Summary Statistics: StDev 0.2656799512133166; Min. 0.0; Valid 4018.0; Mean 0.07640617222498487; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:ayZ/Sh9pkei+qvlHrrCP1Q==

Seed source: Agro-input dealer

f10421825 Location:

Value	Label	Frequency	Text
0.	no	2580
1.	yes	1438

Summary Statistics: Valid 4018.0; Min. 0.0; Max. 1.0; Mean 0.35788949726231756; StDev 0.47943906080835075

Variable Format: numeric

Notes: UNF:6:NOAxRWzCLg4ZXFCJTbXtCg==

Seed source: Community seed bank

f10421825 Location:

Value	Label	Frequency	Text
0.	no	4011
1.	yes	7

Summary Statistics: Valid 4018.0; StDev 0.041708009993255225; Max. 1.0; Min. 0.0; Mean 0.0017421602787456335

Variable Format: numeric

Notes: UNF:6:orSbM1Gk9g9douxKhGKo0w==

Seed source: County government

f10421825 Location:

Value	Label	Frequency	Text
0.	no	4018
1.	yes	0

Summary Statistics: Valid 4018.0; StDev 0.0; Mean 0.0; Max. 0.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:kmISEyEbxiGuZxPPyB1Dwg==

Seed source: NGO

f10421825 Location:

Value	Label	Frequency	Text
0.	no	3983
1.	yes	35

Summary Statistics: StDev 0.09293585383403297; Max. 1.0; Min. 0.0; Valid 4018.0; Mean 0.008710801393727846

Variable Format: numeric

Notes: UNF:6:TuCVc3rsg0zAQOFcjVx0AQ==

Seed source: KCSAP/Ministry of Agriculture

f10421825 Location:

Value	Label	Frequency	Text
0.	no	4017
1.	yes	1

Summary Statistics: Valid 4018.0; Max. 1.0; Min. 0.0; StDev 0.015775932296406645; Mean 2.48880039820796E-4;

Variable Format: numeric

Notes: UNF:6:uUAc24NF/sVKHua856v0TQ==

How much seed used were purchased? (Kg)

f10421825 Location:

Summary Statistics: Max. 861.56005859375; Mean 18.104518666715133; Valid 3974.0; Min. 2.500000118743628E-4; StDev 65.18659646866446

Variable Format: numeric

Notes: UNF:6:mVGv/ME8tUFmlzhsgKlriw==

Q15. How much did you spend on the seeds that you purchased (KES)?

f10421825 Location:

Summary Statistics: Min. 2.0; Max. 27000.0; StDev 2578.496819227872; Valid 4018.0; Mean 1326.6906421104813;

Variable Format: numeric

Notes: UNF:6:Ls8K/W1aSVqbJ33AacfmIg==

q16. Did you receeive any seeds for free?

f10421825 Location:

Value	Label	Frequency	Text
0.	no	5195
1.	yes	793

Summary Statistics: Max. 1.0; StDev 0.33898762535403393; Valid 5988.0; Min. 0.0; Mean 0.13243152972611844;

Variable Format: numeric

Notes: UNF:6:jYpSb+QgQKPnqAmkhcVl1A==

Quantity of seeds received for free (Kg)

f10421825 Location:

Summary Statistics: Mean 20.42293319446773; Valid 787.0; StDev 48.3633291388093; Max. 680.5; Min. 0.0010000000474974513;

Variable Format: numeric

Notes: UNF:6:FFChkh3Z+cKMo6SJmz5TCg==

Q19. From whom did you obtain free seeds?

f10421825 Location:

Value	Label	Frequency
4.	NGO	25
3.	Agricultural cooperative	19
5.	County government	8
6.	KCSAP/Ministry of Agriculture	14
2.	Friend/neighbor/fellow farmer	537
1.	Relatives	190

Summary Statistics: Min. 1.0; Max. 6.0; StDev 0.8724748569251058; Valid 793.0; Mean 1.9482976040353077

Variable Format: numeric

Notes: UNF:6:NOG+nvPJ1kgouWiyQ+svLA==

Q20. Was any of the seeds used in this parcel a leftover from the previous seaso

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	1198
0.	no	4790

Summary Statistics: Mean 0.20006680026720378; StDev 0.40008349998686893; Valid 5988.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:OwgOBF/YkliSWzjrAxMJcA==

Left over seed quantity (Kg)

f10421825 Location:

Summary Statistics: Min. 2.500000118743628E-4; StDev 49.0113386651116; Max. 650.0; Mean 19.634942882262052; Valid 1189.0

Variable Format: numeric

Notes: UNF:6:LwNNwupgHW1+rzBlFNrv3A==

Q25. At what time was seed for this crop available?

f10421825 Location:

Value	Label	Frequency
1.	Before planting season	1063
2.	At start of the season	135
3.	Towards the end of season	0

Summary Statistics: Valid 1198.0; Mean 1.112687813021703; Min. 1.0; Max. 2.0; StDev 0.3163428567909575;

Variable Format: numeric

Notes: UNF:6:zPYQdBU5o65mT5Lyj3hfVA==

Q26. Were the seeds for the crop on this parcel clean

f10421825 Location:

Value	Label	Frequency
2.	Fairly clean (some impurities, no damage)	833
1.	Clean (no impurities, no damage)	5085
3.	Not clean (some impurities and damage)	70

Summary Statistics: StDev 0.39936805446030527; Valid 5988.0; Max. 3.0; Min. 1.0; Mean 1.1624916499666011

Variable Format: numeric

Notes: UNF:6:Cw76mmFWwqhosy0OcuMXdQ==

D2Q27. How was the germination of the seeds of ${cropname} in this${parcel_cul

f10421825 Location:

Value	Label	Frequency
2.	Fair	874
1.	Good	5013
3.	Poor	101

Summary Statistics: Min. 1.0; Valid 5988.0; Max. 3.0; StDev 0.4256379161262796; Mean 1.1796927187708752;

Variable Format: numeric

Notes: UNF:6:xd226IoSYAJYZhTMBZSW0w==

D2Q28. Have you lost seeds for this ${cropname} in this${parcel_cultivated} pa

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	1840
0.	no	4148

Summary Statistics: Mean 0.30728122912491634; Max. 1.0; Valid 5988.0; Min. 0.0; StDev 0.46140549299337347;

Variable Format: numeric

Notes: UNF:6:6KXsL36cUjQQuDOSC3hUMA==

D2Q29. What was the main reason for lost seeds for ${cropname} in this${parcel

f10421825 Location:

Value	Label	Frequency
2.	Pests	541
1.	Diseases	89
3.	Drought	806
5.	Hailstorm	61
6.	Frost	66
4.	Excess water	223
7.	Theft	18
88.	Other	36

Summary Statistics: Valid 1840.0; Max. 88.0; Mean 4.606521739130438; Min. 1.0; StDev 11.835310017392354

Variable Format: numeric

Notes: UNF:6:1vDS2oiSeJgJF75+eYSa+g==

Q7. Did you use Organic Fertilizer on this crop in this parcel?

f10421825 Location:

Value	Label	Frequency	Text
0.	no	5970
1.	yes	1985

Summary Statistics: Max. 1.0; Mean 0.2495285983658096; Valid 7955.0; Min. 0.0; StDev 0.4327673975098741

Variable Format: numeric

Notes: UNF:6:uaqzdZvBp9XZGsRmz7H5ww==

Q8. What type of Organic Fertilizer did you use on this crop?

f10421825 Location:

Value	Label	Frequency
2.	Animal waste	1794
3.	Plant waste	21
4.	A combination	168
1.	Peat	2

Summary Statistics: Valid 1985.0; StDev 0.5641826691593231; Min. 1.0; Mean 2.178841309823677; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:Q2A42RvIA0rmQfG6xMMnuQ==

How much Organic Fertilizer did you use on this crop? (Kg)

f10421825 Location:

Summary Statistics: Valid 1983.0; Max. 3183.333251953125; Min. 0.25; Mean 242.0131978700701; StDev 337.5067464157935

Variable Format: numeric

Notes: UNF:6:zamsgnbeIqxkRWc2JZb/nQ==

10. How much (KES) did you spend in oganic fertilizer used on this crop?

f10421825 Location:

Summary Statistics: Min. 5.0; StDev 788.5172529592002; Mean 831.0942028985506; Valid 138.0; Max. 4000.0

Variable Format: numeric

Notes: UNF:6:zg3YbmkyqCiPWDL/x3crrQ==

Q11. Did you use any inorganic fertilizer on this crop?

f10421825 Location:

Value	Label	Frequency	Text
1.	yes	1445
0.	no	6510

Summary Statistics: StDev 0.38557736627226563; Max. 1.0; Min. 0.0; Valid 7955.0; Mean 0.1816467630421089

Variable Format: numeric

Notes: UNF:6:xUEVf73+ecCuMl5SEKmaGA==

Q12_1. What was first inorganic fertilizer used on this crop

f10421825 Location:

Value	Label	Frequency
6.	Yara and other blended brands	15
9.	D.compound	410
4.	CAN	433
7.	Foliar feeds	288
2.	NPK	86
10.	S.compound	0
11.	Super D	2
8.	SA	1
1.	Urea	208
12.	Lime	0

Summary Statistics: Mean 6.7224913494809835; StDev 32.946629794889645; Min. 1.0; Valid 1445.0; Max. 888.0

Variable Format: numeric

Notes: UNF:6:/eSmZz1zwqtKazNbv7+BFw==

Q12_2. What was 2nd inorganic fertilizer used on this crop

f10421825 Location:

Value	Label	Frequency
2.	NPK	41
10.	S.compound	1
7.	Foliar feeds	38
11.	Super D	0
4.	CAN	79
12.	Lime	0
8.	SA	0
9.	D.compound	337
6.	Yara and other blended brands	5
1.	Urea	0

Summary Statistics: StDev 2.446389657288763; Mean 7.459081836327345; Max. 10.0; Valid 501.0; Min. 2.0

Variable Format: numeric

Notes: UNF:6:HDB9wBLCLM2xCOp6tg0E1A==

Q12_3. What was 3rd inorganic fertilizer used on this crop

f10421825 Location:

Value	Label	Frequency
4.	CAN	0
2.	NPK	0
11.	Super D	0
8.	SA	0
12.	Lime	0
1.	Urea	0
10.	S.compound	0
7.	Foliar feeds	2
9.	D.compound	65
6.	Yara and other blended brands	0

Summary Statistics: StDev 0.34291959544058226; Mean 8.940298507462687; Valid 67.0; Min. 7.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:hG15q2zgquYsltEQW5uwFQ==

Q13. How much inorganic fertilizer did you use on this crop (Kg)?

f10421825 Location:

Summary Statistics: StDev 29.003912576059506; Valid 1445.0; Min. 0.019999999552965164; Max. 270.0; Mean 21.350910036242695

Variable Format: numeric

Notes: UNF:6:KBB/GQxbVUHIGsE2EbzwvQ==

Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?

f10421825 Location:

Summary Statistics: StDev 2046.5851030764286; Min. 14.0; Valid 1430.0; Max. 12000.0; Mean 2179.760139860138

Variable Format: numeric

Notes: UNF:6:1GW8hr2Qa3ekTdUP+0AA5g==

Q15. Did you use any pesticide on this crop?

f10421825 Location:

Value	Label	Frequency	Text
0.	no	7043
1.	yes	912

Summary Statistics: Mean 0.11464487743557249; StDev 0.3186129165117197; Min. 0.0; Max. 1.0; Valid 7955.0

Variable Format: numeric

Notes: UNF:6:027DyTDcYaCW7BvnQ91wEw==

Q17_1. What was first brand of pesticide used on this crop

f10421825 Location:

Value	Label	Frequency
5.	DECIS EC 025	3
72.	Restore	1
62.	Alphasumu 10EC	10
45.	Calmapor	1
85.	Profen 10.8EC	5
22.	Kingcode elite	5
38.	Hallothrin	5
26.	Cyclotron 450EC	4
86.	Zyban	0
81.	Albaz 10EC	3
41.	Golden Leaf	2
10.	OBERON SPEED SC 240	1
77.	Wetsulfjet 80%WDG	0
28.	PRESENTO	3
64.	Rodazim 50SC	0
7.	GAUCHO FS 350	0
11.	REDIGO DETER	1
56.	Abalone	0
54.	Profecron	47
36.	ASTER EXTRIM 20SL	1
90.	MasterKutu 72Wp	3
14.	TIHAN OD 175	2
61.	Preshaur	4
68.	Sussita 50EC	0
32.	FOLIMAT 500SL	5
92.	Dawacide 25% EC	0
39.	Emmaron 30sc	8
8.	MOVENTO OD 15	3
19.	Escort	13
37.	Animal waste (Rabbit urine)	0
59.	Alphago 100EC	4
20.	Karate	8
3.	CONFIDOR SL 200	1
58.	Romectin	2
57.	Emthane 45WP	3
49.	Calmag	0
63.	Twiga	7
42.	Duduwil 315E	58
25.	Salbun	0
53.	Alphakill	19
31.	ORTAN 970WDG	1
12.	REQUIEM PRIME	0
52.	Botran	13
75.	Beansclean 480SL	14
33.	WADUDUKLIN 25EC	30
23.	Duduthrin	104
55.	Vondozeb 75DG	23
94.	BiddiQuat	1
30.	SHOTGUN 20%SP	0
9.	OBERON SC 240	1
17.	ALPHA DEGREE	25
71.	Alpha Simba	7
83.	Dudu Afrikill	20
16.	ALPHAGUARD	56
15.	VELUM PRIME SC 500	1
43.	Top Guard 500AC	4
70.	Antracol	0
4.	CONFIDOR WG 70	3
87.	Fedothion 50 EC	1
6.	DECIS FORTE EC 100	0
66.	Imaxi	2
89.	Prosper 440EC	0
1.	BELT 480 SC	13
18.	Atom	3
84.	D-C-Tron Plus	4
-99.	Don’t know	131
46.	Reaper	2
21.	Jackpot	1
73.	Alfatox	8
44.	Crop Wonder Max	5
88.	Oshothane 80WP	1
65.	Alphasin EC	2
47.	Super	11
35.	TIFER 50EC	29
13.	SIVANTO PRIME SL 200	0
24.	Profile	15
27.	PENTAGON	9
2.	CALYPSO SC 480	3
82.	Bentil 23EC	1
80.	Blight force	16
50.	Tajiri	10
69.	Stage 250EW	0
76.	Kenthane 800WP	3
34.	OSHOTHION 50EC	22
40.	DIAZOL 60EC	7
78.	Mancobex	3
91.	Bestox 100EC	1
29.	BOTATOX	20
79.	Masterkinga	33
74.	Tinga tinga top	1
51.	Score 250EC	3
67.	Ambar 480SC	0
93.	Ninja plus 5%EC	10
48.	Zipon	3
60.	Diepest 5ME	4

Summary Statistics: Min. -99.0; StDev 53.72872918524808; Max. 94.0; Valid 912.0; Mean 21.62719298245617

Variable Format: numeric

Notes: UNF:6:H5XSXHTvntGuOp08LqqEeQ==

Q17_2. What was 2nd brand of pesticide used on this crop

f10421825 Location:

Value	Label	Frequency
50.	Tajiri	4
77.	Wetsulfjet 80%WDG	1
76.	Kenthane 800WP	4
61.	Preshaur	0
57.	Emthane 45WP	11
80.	Blight force	10
64.	Rodazim 50SC	0
89.	Prosper 440EC	0
12.	REQUIEM PRIME	0
6.	DECIS FORTE EC 100	0
5.	DECIS EC 025	0
27.	PENTAGON	1
21.	Jackpot	0
26.	Cyclotron 450EC	0
82.	Bentil 23EC	1
16.	ALPHAGUARD	0
86.	Zyban	1
38.	Hallothrin	0
94.	BiddiQuat	0
91.	Bestox 100EC	6
8.	MOVENTO OD 15	0
31.	ORTAN 970WDG	0
46.	Reaper	0
49.	Calmag	0
47.	Super	3
66.	Imaxi	2
51.	Score 250EC	0
74.	Tinga tinga top	4
32.	FOLIMAT 500SL	4
18.	Atom	0
1.	BELT 480 SC	0
88.	Oshothane 80WP	9
4.	CONFIDOR WG 70	0
20.	Karate	0
13.	SIVANTO PRIME SL 200	0
43.	Top Guard 500AC	1
36.	ASTER EXTRIM 20SL	0
34.	OSHOTHION 50EC	4
70.	Antracol	3
2.	CALYPSO SC 480	0
30.	SHOTGUN 20%SP	0
69.	Stage 250EW	0
35.	TIFER 50EC	8
33.	WADUDUKLIN 25EC	4
28.	PRESENTO	0
93.	Ninja plus 5%EC	0
41.	Golden Leaf	1
3.	CONFIDOR SL 200	1
14.	TIHAN OD 175	0
7.	GAUCHO FS 350	0
40.	DIAZOL 60EC	0
81.	Albaz 10EC	0
11.	REDIGO DETER	0
92.	Dawacide 25% EC	1
62.	Alphasumu 10EC	1
37.	Animal waste (Rabbit urine)	0
63.	Twiga	0
17.	ALPHA DEGREE	1
71.	Alpha Simba	3
84.	D-C-Tron Plus	0
67.	Ambar 480SC	1
56.	Abalone	0
48.	Zipon	0
55.	Vondozeb 75DG	10
52.	Botran	5
39.	Emmaron 30sc	0
83.	Dudu Afrikill	5
58.	Romectin	0
75.	Beansclean 480SL	3
54.	Profecron	9
87.	Fedothion 50 EC	0
44.	Crop Wonder Max	1
65.	Alphasin EC	1
79.	Masterkinga	14
15.	VELUM PRIME SC 500	0
24.	Profile	2
60.	Diepest 5ME	1
9.	OBERON SC 240	1
42.	Duduwil 315E	11
19.	Escort	1
23.	Duduthrin	8
72.	Restore	9
45.	Calmapor	0
22.	Kingcode elite	0
90.	MasterKutu 72Wp	1
53.	Alphakill	3
29.	BOTATOX	0
73.	Alfatox	1
68.	Sussita 50EC	0
78.	Mancobex	3
85.	Profen 10.8EC	9
10.	OBERON SPEED SC 240	0
-99.	Don’t know	0
59.	Alphago 100EC	3
25.	Salbun	1

Summary Statistics: Mean 60.61458333333334; Valid 192.0; StDev 21.057572435908718; Min. 3.0; Max. 92.0

Variable Format: numeric

Notes: UNF:6:1bLESiyoMtmLklbcSHGJtw==

Q17_4. What was 3rd brand of pesticide used on this crop

f10421825 Location:

Value	Label	Frequency
73.	Alfatox	2
4.	CONFIDOR WG 70	0
85.	Profen 10.8EC	0
93.	Ninja plus 5%EC	0
89.	Prosper 440EC	0
33.	WADUDUKLIN 25EC	1
43.	Top Guard 500AC	0
5.	DECIS EC 025	0
91.	Bestox 100EC	3
57.	Emthane 45WP	0
78.	Mancobex	1
47.	Super	0
2.	CALYPSO SC 480	0
69.	Stage 250EW	0
63.	Twiga	0
79.	Masterkinga	1
18.	Atom	0
26.	Cyclotron 450EC	0
1.	BELT 480 SC	0
87.	Fedothion 50 EC	0
76.	Kenthane 800WP	0
68.	Sussita 50EC	0
10.	OBERON SPEED SC 240	0
46.	Reaper	0
58.	Romectin	0
42.	Duduwil 315E	0
19.	Escort	0
3.	CONFIDOR SL 200	0
12.	REQUIEM PRIME	0
75.	Beansclean 480SL	3
67.	Ambar 480SC	0
31.	ORTAN 970WDG	0
50.	Tajiri	0
56.	Abalone	0
27.	PENTAGON	0
48.	Zipon	0
51.	Score 250EC	0
82.	Bentil 23EC	0
60.	Diepest 5ME	0
49.	Calmag	0
40.	DIAZOL 60EC	0
66.	Imaxi	0
35.	TIFER 50EC	0
81.	Albaz 10EC	0
23.	Duduthrin	2
6.	DECIS FORTE EC 100	0
64.	Rodazim 50SC	0
7.	GAUCHO FS 350	0
53.	Alphakill	5
36.	ASTER EXTRIM 20SL	0
25.	Salbun	0
62.	Alphasumu 10EC	0
72.	Restore	5
34.	OSHOTHION 50EC	0
30.	SHOTGUN 20%SP	0
16.	ALPHAGUARD	0
17.	ALPHA DEGREE	0
61.	Preshaur	0
86.	Zyban	1
59.	Alphago 100EC	0
-99.	Don’t know	0
55.	Vondozeb 75DG	0
32.	FOLIMAT 500SL	0
11.	REDIGO DETER	0
83.	Dudu Afrikill	0
37.	Animal waste (Rabbit urine)	0
21.	Jackpot	0
38.	Hallothrin	0
74.	Tinga tinga top	0
84.	D-C-Tron Plus	0
52.	Botran	0
45.	Calmapor	0
29.	BOTATOX	0
9.	OBERON SC 240	0
39.	Emmaron 30sc	0
77.	Wetsulfjet 80%WDG	0
88.	Oshothane 80WP	2
80.	Blight force	1
70.	Antracol	0
44.	Crop Wonder Max	0
13.	SIVANTO PRIME SL 200	0
41.	Golden Leaf	0
15.	VELUM PRIME SC 500	0
20.	Karate	0
22.	Kingcode elite	0
65.	Alphasin EC	0
24.	Profile	0
71.	Alpha Simba	0
8.	MOVENTO OD 15	0
90.	MasterKutu 72Wp	0
14.	TIHAN OD 175	0
94.	BiddiQuat	0
28.	PRESENTO	0
54.	Profecron	2
92.	Dawacide 25% EC	1

Summary Statistics: Max. 92.0; Min. 23.0; Mean 68.23333333333333; StDev 19.225850653048706; Valid 30.0

Variable Format: numeric

Notes: UNF:6:Kg6MqotstJTG6v6OnryCdg==

Q17_4. What was 4th brand of pesticide used on this crop

f10421825 Location:

Value	Label	Frequency
89.	Prosper 440EC	0
34.	OSHOTHION 50EC	0
23.	Duduthrin	0
68.	Sussita 50EC	0
44.	Crop Wonder Max	0
39.	Emmaron 30sc	0
54.	Profecron	0
62.	Alphasumu 10EC	0
10.	OBERON SPEED SC 240	0
65.	Alphasin EC	0
4.	CONFIDOR WG 70	0
40.	DIAZOL 60EC	0
29.	BOTATOX	0
3.	CONFIDOR SL 200	0
9.	OBERON SC 240	0
28.	PRESENTO	0
45.	Calmapor	0
76.	Kenthane 800WP	0
61.	Preshaur	0
38.	Hallothrin	0
42.	Duduwil 315E	0
50.	Tajiri	0
16.	ALPHAGUARD	0
58.	Romectin	0
64.	Rodazim 50SC	0
81.	Albaz 10EC	0
93.	Ninja plus 5%EC	3
79.	Masterkinga	0
5.	DECIS EC 025	0
41.	Golden Leaf	0
21.	Jackpot	0
24.	Profile	0
92.	Dawacide 25% EC	0
57.	Emthane 45WP	0
71.	Alpha Simba	0
18.	Atom	0
33.	WADUDUKLIN 25EC	0
90.	MasterKutu 72Wp	0
11.	REDIGO DETER	0
48.	Zipon	0
22.	Kingcode elite	0
26.	Cyclotron 450EC	0
80.	Blight force	0
31.	ORTAN 970WDG	0
59.	Alphago 100EC	0
-99.	Don’t know	0
35.	TIFER 50EC	0
88.	Oshothane 80WP	0
66.	Imaxi	0
17.	ALPHA DEGREE	0
74.	Tinga tinga top	0
84.	D-C-Tron Plus	0
82.	Bentil 23EC	0
67.	Ambar 480SC	0
20.	Karate	0
25.	Salbun	0
78.	Mancobex	0
47.	Super	0
51.	Score 250EC	0
77.	Wetsulfjet 80%WDG	0
91.	Bestox 100EC	0
43.	Top Guard 500AC	0
55.	Vondozeb 75DG	0
87.	Fedothion 50 EC	0
46.	Reaper	0
72.	Restore	0
53.	Alphakill	0
30.	SHOTGUN 20%SP	0
14.	TIHAN OD 175	0
1.	BELT 480 SC	0
7.	GAUCHO FS 350	0
8.	MOVENTO OD 15	0
63.	Twiga	0
6.	DECIS FORTE EC 100	0
60.	Diepest 5ME	0
75.	Beansclean 480SL	0
85.	Profen 10.8EC	0
70.	Antracol	0
94.	BiddiQuat	0
19.	Escort	0
27.	PENTAGON	0
36.	ASTER EXTRIM 20SL	0
83.	Dudu Afrikill	0
15.	VELUM PRIME SC 500	0
56.	Abalone	0
2.	CALYPSO SC 480	0
13.	SIVANTO PRIME SL 200	0
73.	Alfatox	0
69.	Stage 250EW	0
49.	Calmag	0
32.	FOLIMAT 500SL	0
12.	REQUIEM PRIME	0
52.	Botran	0
86.	Zyban	0
37.	Animal waste (Rabbit urine)	0

Summary Statistics: Mean 93.0; Max. 93.0; Min. 93.0; StDev 0.0; Valid 3.0

Variable Format: numeric

Notes: UNF:6:hxJIMMNmnOnPO5lxAw5veg==

Q18. How much Pesticide did you use on this crop (Kg)?

f10421825 Location:

Summary Statistics: Valid 912.0; Min. 0.003000000026077032; StDev 0.7914707560560185; Max. 5.0; Mean 0.6634676547423878

Variable Format: numeric

Notes: UNF:6:vBYhZG5iHUa/xq8f8D/9Fg==

Q19. How much (KES) did you spend in pesticide used on this crop?

f10421825 Location:

Summary Statistics: Min. 10.0; Max. 10400.0; Mean 973.30099228225; StDev 1194.4305813728397; Valid 907.0

Variable Format: numeric

Notes: UNF:6:6V11Kfi1ROsxhI/7eAF9VA==

Q20. Did you use any herbicides on this crop?

f10421825 Location:

Value	Label	Frequency	Text
0.	no	7860
1.	yes	95

Summary Statistics: Max. 1.0; StDev 0.10863260408552544; Min. 0.0; Mean 0.011942174732872162; Valid 7955.0;

Variable Format: numeric

Notes: UNF:6:NWJHyNwmS5vxHKsojAKGWQ==

Q21_1. What was first herbicide used on this crop

f10421825 Location:

Value	Label	Frequency
14.	HUSKIE EC 256	0
13.	GUARDIAN MAX	3
4.	AUXO EC 337	0
32.	Tordon 22k	0
17.	Low vol 4D	0
20.	Pathfinder II	0
3.	ATTRIBUT WG 70	0
2.	ATLANTIS MAX OD 37.5	1
8.	Direx 4L	0
9.	Envy 2,4-D	1
5.	Banvel	0
16.	Lontrel	0
28.	SEKATOR OD 375	0
27.	Scotts 30-5-5 wConfront	0
31.	Topsite	1
12.	Garlon 4	0
36.	weedar 64	6
1.	ARSENAL	2
19.	Oust	0
40.	Gramaxon	0
22.	RALON SUPER EW 75	0
7.	Crossbow	0
18.	Milestone	0
29.	SENCOR SC 480	3
15.	Kamex	1
37.	Kausha 480SL	34
26.	ROUNDUP TURBO SL 450	10
38.	Maguguma	7
21.	Plateau	1
30.	Telar	0
25.	Roundup Pro	20
35.	Velpar	0
39.	Maize pro	1
23.	Rodeo	0
6.	Confront	1
33.	Transline	0
11.	Garlon 3A	0
34.	Vanguish	1
24.	Roundup (18% conc)	1
10.	Escort	1

Summary Statistics: Min. 1.0; Max. 39.0; Mean 29.673684210526314; Valid 95.0; StDev 9.324461202006617;

Variable Format: numeric

Notes: UNF:6:3mFJoCnenumkYelZsHtpxw==

Q21_2. What was 2nd herbicide used on this crop

f10421825 Location:

Value	Label	Frequency
39.	Maize pro	0
9.	Envy 2,4-D	0
35.	Velpar	0
29.	SENCOR SC 480	0
37.	Kausha 480SL	1
26.	ROUNDUP TURBO SL 450	0
8.	Direx 4L	0
33.	Transline	0
40.	Gramaxon	0
5.	Banvel	0
17.	Low vol 4D	0
11.	Garlon 3A	0
1.	ARSENAL	0
6.	Confront	0
24.	Roundup (18% conc)	0
16.	Lontrel	0
10.	Escort	0
38.	Maguguma	2
13.	GUARDIAN MAX	0
7.	Crossbow	0
30.	Telar	0
25.	Roundup Pro	0
3.	ATTRIBUT WG 70	0
20.	Pathfinder II	0
21.	Plateau	0
31.	Topsite	0
27.	Scotts 30-5-5 wConfront	0
28.	SEKATOR OD 375	0
12.	Garlon 4	0
32.	Tordon 22k	0
14.	HUSKIE EC 256	0
23.	Rodeo	0
15.	Kamex	0
4.	AUXO EC 337	0
19.	Oust	0
36.	weedar 64	0
18.	Milestone	0
34.	Vanguish	0
22.	RALON SUPER EW 75	0
2.	ATLANTIS MAX OD 37.5	0

Summary Statistics: StDev 0.5773502691896258; Max. 38.0; Min. 37.0; Mean 37.666666666666664; Valid 3.0;

Variable Format: numeric

Notes: UNF:6:qmcsppGLdElhcYBBpk+biQ==

Q22. How much Herbicide did you use on this crop?

f10421825 Location:

Summary Statistics: Valid 95.0; Min. 0.05000000074505806; Mean 1.138421052851175; Max. 5.0; StDev 0.7611739471995902

Variable Format: numeric

Notes: UNF:6:eSlhVwQqVQyTXLMXgWmnhw==

Q23. How much did you spend in Herbicide used on this crop?

f10421825 Location:

Summary Statistics: Valid 95.0; StDev 830.3633900061383; Mean 1145.7894736842104; Max. 6000.0; Min. 60.0

Variable Format: numeric

Notes: UNF:6:hXU4GdHzAqC5ITeupzqaNQ==

Q23c. What is the trend of pesticides and herbicides application on ${cropname}

f10421825 Location:

Value	Label	Frequency
1.	Increasing	1461
3.	Decreasing	385
2.	No change	6109

Summary Statistics: StDev 0.4623707280825515; Mean 1.8647391577624126; Valid 7955.0; Max. 3.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:N2dJzowr9hQ0l0F/Mogu7w==

Harvest in Kgs

f10421825 Location:

Summary Statistics: Max. 9540.0; Valid 6997.0; StDev 356.1240940012076; Mean 144.02026541593946; Min. 0.006000000052154064

Variable Format: numeric

Notes: UNF:6:rG4RhTIMj4PAEcWKJNH25g==

DQ21. What was the estimated total value (KES) of the ${cropname} crop harveste

f10421825 Location:

Summary Statistics: Max. 675000.0; Mean 7356.949593031471; StDev 21093.463395777886; Min. 0.0; Valid 7003.0

Variable Format: numeric

Notes: UNF:6:CF6Ce/BopNgRC+AYddmHLA==

Harvest sold in Kgs

f10421825 Location:

Summary Statistics: Max. 10400.0; Valid 2069.0; Min. 0.006000000052154064; Mean 193.59369815471902; StDev 518.0322354328748;

Variable Format: numeric

Notes: UNF:6:+m+oF3wNT6W1Mv+yoJjcQQ==

Price per Kg of produce sold

f10421825 Location:

Summary Statistics: Max. 93333.0; StDev 2052.4181641069713; Mean 108.65818445849163; Valid 2069.0; Min. 0.023076923564076424

Variable Format: numeric

Notes: UNF:6:QZQwMw6WYCYnPA8rQHxIxg==

D2Q34. How much ${cropname} harvested from ${parcel_cultivated} did you lose a

f10421825 Location:

Summary Statistics: Max. 90.0; Min. 0.0; Mean 0.5987152034261306; Valid 7005.0; StDev 3.6181412878378914

Variable Format: numeric

Notes: UNF:6:ZFWIqxSQq2w1lSjAHcxlBQ==

household identification number

f10421824 Location:

Summary Statistics: StDev 7.788119020441481E7; Min. 2.0; Mean 4.015639017860063E7; Max. 2.65322031E8; Valid 3645.0

Variable Format: numeric

Notes: UNF:6:zatYMQQZhW2RgX0xN7+PtQ==

parcelID

f10421824 Location:

Summary Statistics: Min. 1.0; StDev 0.8539890571130999; Valid 3645.0; Max. 15.0; Mean 1.521536351165981

Variable Format: numeric

Notes: UNF:6:YX+CoLdJTJUarie6Bsi/RA==

Name of the cultivated parcel in the minor season

f10421824 Location:

Variable Format: character

Notes: UNF:6:Fo/GVXMujlNwQlVZHbLRmg==

Name of the crop planted in the minor season

f10421824 Location:

Value	Label	Frequency
128.	Okra	0
331.	Custard apple (matomoko)	0
322.	Oil palm	0
314.	Tea	0
124.	Leeks	0
132.	Pumpkin leaves	1
324.	Passion Fruit	0
305.	Baobab	0
142.	Sorghum/Guinea corn	52
310.	Cocoyam	0
144.	Spinach	6
151.	Watermelon	1
114.	Cowpea	27
102.	Bean	1072
330.	Shea nut	0
318.	Khat (Mira)	0
135.	Green grams	31
313.	Cotton	1
119.	Finger millet	8
309.	Coconut	0
325.	Pawpaw/Papaya	1
101.	Arrow roots	9
148.	Tobacco	1
129.	Oats	0
149.	Tomatoes	13
143.	Soybean	9
321.	Nappier grass	10
336.	Jack fruit	0
103.	Beetroots	0
320.	Mangoes	2
138.	Peas green	5
337.	Sisal	1
333.	Yam	0
327.	Plantain	0
154.	Commercial grass/pasture	2
111.	Chickpea	0
316.	Ginger	0
116.	Capsicum (hoho)	0
315.	Garlic	0
323.	Orange/Tangerine	1
303.	Banana (cooking)	2
106.	Butter nuts	2
399.	Other tree crops	2
126.	Maize	1595
311.	Coffee	0
125.	Maize fodder	1
145.	Sweet potato	81
110.	Carrot	0
335.	Guavas	1
139.	Pigeon pea (mbaazi)	21
141.	Sesame seeds	2
140.	Rice	0
308.	Cocoa	0
332.	Sugarcane	0
113.	Courgette	0
130.	Onion	9
326.	Pineapple	0
104.	Brinjals (Biringanya)	0
105.	Broccoli	0
118.	Dolicos (Njahi)	3
134.	Other pulses, nuts	8
121.	French beans	0
317.	Macademia	0
152.	Indigenous vegetables	110
150.	Wheat	0
108.	Cauliflower	0
334.	Tree tomato	0
147.	Tiger nut	0
123.	Kale	72
107.	Cabbage	3
112.	Corriander	1
301.	Avocado	2
306.	Cashew	0
109.	Cassava	45
127.	Maize green	23
304.	Banana (ripe)	1
398.	Other perennial crops	1
115.	Cowpea leaves	173
888.	Other seasonal crops	0
153.	Bambara bean	0
122.	Groundnut/Peanut	68
120.	Field peas	0
117.	Cucumber	0
319.	Lime/Lemon	0
136.	Pepper (Bell)	1
146.	Pearl millet (Mawele)	2
137.	Irish potato	156
133.	Other cereals	0
131.	Pumpkin	7
312.	Colanut	0

Summary Statistics: Valid 3645.0; Max. 399.0; StDev 22.155367982789475; Min. 101.0; Mean 121.57805212620016;

Variable Format: numeric

Notes: UNF:6:d1JxKMUmlytv837/CiSxbA==

Crop variety ID

f10421824 Location:

Summary Statistics: Min. 100.0; StDev 131.87598931073356; Valid 3642.0; Max. 888.0; Mean 183.41460735859715

Variable Format: numeric

Notes: UNF:6:CUF+2qxkd5DtYtw0ncufug==

Q1a. What variety of crop did you mostly grow in this parcel?

f10421824 Location:

Value	Label	Frequency
232.	KH500-43A	0
252.	PAN 4M-19	0
113.	Kat/Bean 1 (Katheka)	28
646.	Glenn	0
410.	Kuroda	0
200.	DK8031	1
219.	H628	0
162.	EUFM 503	0
717.	Jubilee F1	0
644.	Tommy Atkins	0
697.	Kale keeper	0
152.	MTW 63	0
661.	Tangerine	0
624.	KME4	0
560.	Ngombe	0
543.	FHIA 01-Gold finger	0
528.	Hass	0
713.	SS4	0
564.	Prata	0
116.	Kat-Bean 9	6
537.	Sharwil	0
223.	HARAKA (WH 101)	0
606.	Kaleso	0
375.	WH507	0
386.	Annet	0
238.	KH600-20A	0
191.	AMINIKA WH 507	0
723.	Tunda F1	0
373.	WH504	2
588.	Kiganda	0
718.	Julie F1	0
500.	Onyx F1	0
146.	KCB13-11	0
551.	GT Kisii apple banana	0
374.	WH505	58
377.	WH605	1
419.	Nyota	0
635.	AF0904	0
364.	TSAVO WE 4141	7
669.	Sinta F1	0
633.	KSA 81 M	0
715.	Tumbili	5
651.	Valencia	0
590.	Mbolokama	0
376.	WH509	4
567.	Sukari	0
158.	Kitui black eye	1
400.	Evora	0
270.	Twiga 83	0
290.	DH 02	1
641.	Apple mango	0
676.	M-82	0
305.	H519	0
565.	Sialamuli	0
201.	DKC8033	0
710.	KTRI 914/41	0
314.	H628	1
486.	KS-sorg2	0
185.	Collard	0
673.	Marmande	0
658.	Scarlet navel	0
172.	Kat/FM I	0
398.	Dutch robijn	0
496.	EUSS 10	0
168.	KAK-Wimbi 1	0
307.	H522	0
174.	KNE 741	0
323.	KH125-01-SG (MALAIKA 125)	0
346.	PAN 3M-01	0
387.	Arizona	0
216.	H6218	0
137.	KK RED BEAN-16	0
655.	Moro	0
573.	Apple	0
722.	Syova	0
423.	Royal	0
666.	Sunrise	0
370.	WE4141	1
211.	H520	0
302.	H513	44
580.	FHIA 23	0
233.	KH500-49A	0
611.	MUCERICERI	0
184.	Thousand Headed	0
322.	KDV6	0
462.	KAT 557	0
649.	Valencia pride	0
190.	AMINIKA WH 505	0
177.	Nakuru 1	0
188.	AMINIKA WH 403	0
603.	Uganda Green	0
124.	Kenya Sugar Bean	0
277.	WH504	0
402.	Jelly	0
237.	KH600-16A	0
629.	MM96/4271	0
117.	Wairimu Dwarf	59
431.	Sifra	0
306.	H520	0
612.	Shibe	0
161.	EUFM 502	0
650.	Keitt	0
702.	Batian	0
125.	Kabete Super	0
731.	Best Africa	3
108.	Kat/Bean 2	0
352.	PH1 (Pwani Hybrid)	1
325.	KH500-31A	0
337.	MILIMA WH 605	0
460.	Mbaazi 4	0
226.	KDV4	0
643.	Boribo	0
726.	Green bell F1	0
312.	H624	4
659.	Hamlin	0
579.	FHIA 23	0
282.	ADV 2308W	1
153.	MTW 610	0
394.	Connect	0
438.	Zafira	0
700.	Crotolaria	1
534.	Gem	0
663.	Clementine	0
261.	Sawa	0
392.	Challenger	0
413.	Lenana	0
563.	Poyo	0
406.	Kenya mpya	0
471.	IS8193	0
730.	Nylon	0
515.	Shujaa F1	0
586.	Kampala	0
365.	Twiga 81	1
483.	KSBH-01	0
381.	KAT 00308 (Ndengu Biashara)	0
157.	Zebra	0
240.	Kishindo DLH458	0
683.	Danny F1	1
585.	GT Kisii apple banana	0
194.	Bazooka	0
498.	Rio Grande	1
296.	DKC8033	32
341.	P3253	128
508.	Koko (JKUAT)	0
430.	Sherekea	0
210.	H519	0
597.	Poyo	0
250.	PAN 15	0
399.	El-mundo	0
546.	FHIA 23	0
558.	Mysore	0
527.	Golden Midget	0
584.	Gross Michel	0
575.	Dwarf Cavendish	0
150.	Randa	0
544.	FHIA 19	0
605.	Williams	0
171.	KAK-Wimbi 4	0
118.	New Rose Coco	5
499.	Carl J	1
165.	KACIMMI 42	0
180.	SDFM 1702	0
550.	Gross Michel	0
330.	KH600-11D	0
733.	Pruktor F1	1
139.	KMR 11 (Angaza)	0
505.	Chonto F1	0
523.	Sugar baby	0
530.	Shepard	0
280.	WH509	0
620.	Karibuni	0
254.	PAN 691	0
608.	5543/156	0
115.	KK 15 (MLB 49/879)	0
187.	AMINIKA WH 401	0
481.	Kibuyu	0
140.	KMR 12 (Metameta)	0
429.	Shangi	34
506.	Bravo F1)	0
134.	MN6 (Kenya Cheupe)	0
600.	Soth	0
247.	P3506W (3506W)	1
510.	Nyati F1	1
589.	Manyatta	0
422.	Rodeo	0
121.	Kenya Red Kidney (Nyayo)	32
491.	Sweet Sorg 4	0
263.	Simba 61 (SC627)	0
259.	Punda Milia 529 (SC529)	0
634.	AF0903	0
457.	KAT 60/8	0
362.	Tembo 73 (SC719)	0
132.	MN1( Rosecoco Madini)	2
189.	AMINIKA WH 504	0
601.	Sukari	0
257.	PH4	0
492.	Sweet Sorg 14	0
475.	E6518	0
638.	HA-211 / Intercott 211	0
435.	Unica	0
443.	3C22	0
426.	Sagitta	0
209.	H517	0
614.	Siri	0
418.	Musica	0
656.	Sanguinelli	0
468.	IS8595	0
421.	Purple gold	0
453.	ICEA P00068	0
112.	KK 22 (RWR 719)	0
459.	Kajani	0
230.	KH500-31A	0
545.	FHIA 23	0
637.	06K485	0
616.	Karibuni	0
504.	Tyuka F1	0
260.	Punda Milia 53 (513)	0
343.	P3812W (3812W)	41
353.	PH4	2
262.	SC Punda Milia 53 (SC513)	0
665.	Vega F1	0
456.	Egerton Mbaazi M1	0
176.	MSU FM 60D	0
288.	AMINIKA WH 509	0
705.	TRFK 704/2	0
220.	H629	0
149.	KCB13-04	0
316.	H6506	0
724.	Sabasaba	2
281.	WH605	0
167.	KACIMMI 65	0
444.	3C48	0
639.	Kent	0
175.	Maseno 60D	0
310.	H6213	3
267.	Tosheka (MH-401)	0
617.	Karembo	0
241.	KSTDV01	0
561.	Nusu-Ngombe	0
696.	Milele	0
592.	Mysore	0
424.	Rumba	0
231.	KH500-39E	0
455.	Karai	0
685.	Mfalme F1	10
562.	Paz	0
525.	Pato F1	0
542.	Exera	0
120.	Kenya early	0
212.	H522	0
138.	KAD 02 (Nyota)	1
317.	H9401	0
615.	Nzalauka	0
244.	P2809W (2809W)	0
411.	Lady amarilla	0
556.	Mbolokama	0
324.	KH500-22A	0
599.	Sialamuli	0
255.	PAN 7M-81	0
647.	Madame francique	0
203.	DUMA 419	0
433.	Tigoni	0
448.	(Kat/Mbaazi 2)	0
721.	Dominator F1 Hybrid	0
368.	WE2107	0
513.	Money Maker	0
642.	Dodo	0
679.	Mituki	0
266.	Tembo 73 (SC719)	0
218.	H625	0
154.	K80	0
329.	KH500-52A	0
734.	Waltham	1
493.	Sweet Sorg 17	0
502.	Kilele F1	1
689.	Tausi	0
684.	Collards	13
449.	KARI Mbaazi 1	1
199.	DK777	2
321.	KDV4	0
436.	Voyager	0
698.	Saruch	0
358.	SC Punda Milia 53 (SC513)	2
640.	Ngowe mango	0
208.	H516	0
668.	Red royale F1	0
345.	PAN 15	2
328.	KH500-49A	0
367.	WE1101	0
446.	Kat 777	0
408.	Kerr’s pink	0
205.	EVAZEA (WE1101)	0
631.	MM96/7151	0
619.	Nzalauka	0
707.	KTRI 914/28	0
304.	H517	0
648.	Atauflo	0
583.	Grand Nain	0
728.	Red creole	1
320.	KDV1	0
369.	WE3106	0
518.	Prostar F1	0
339.	P2809W (2809W)	8
706.	KTRI 914/11	0
315.	H629	0
447.	ICEAP00040	0
225.	KDV1	0
111.	Kat X 69	0
404.	Kenya karibu	0
360.	Sungura 301 (SC301)	157
371.	WH401	1
476.	Sila	0
701.	Ruiru F1	0
144.	KCB 13-02	0
578.	FHIA 19	0
141.	KMR13 (Faida)	0
292.	DH08	0
477.	KARI16 Mtama 2	0
202.	DKC90-89	0
618.	Siri	0
273.	WE3106	0
711.	Bareto F1	1
541.	Dwarf Cavendish	0
420.	Panamera	0
204.	Duma 43 (SC 43)	0
670.	Money Maker	0
143.	KAT-SW-13	0
672.	Marglobe	0
464.	Seredo	12
166.	KACIMMI 49	0
393.	Chulu	0
145.	KCB13-09	0
654.	Maltese	0
547.	FHIA17	0
570.	Valery	0
221.	H6506	0
479.	Kaburu	0
555.	Manyatta	0
529.	Lamb Hass	0
372.	WH403	0
319.	Hodari (MH 501)	0
720.	Tiger F1 Hybrid	1
395.	Derby	1
275.	WH401	0
487.	SC Smile	0
105.	GLP-92 Pinto bean	0
284.	AMINIKA WH 403	0
452.	Kat/Mbaazi 3	0
308.	H614D	30
253.	PAN 4M-21	0
361.	SY594	0
382.	Ks20 (Uncle)	0
397.	Destiny	0
326.	KH500-39E	0
179.	OKHALE-1	0
623.	KME3	0
627.	Katune (990005)	0
470.	Ikinyaluka	0
664.	Solo	0
735.	Baraka F1	1
217.	H624	1
596.	Paz	0
215.	H6213	0
473.	Kari Mtama 1	0
298.	DUMA 419	14
521.	Sukari F1	0
363.	Tosheka (MH-401)	5
732.	Ford Hook Giant	0
591.	muraru	0
114.	KK 8 (SCAM-80/15	0
677.	Star 9065F1	0
224.	Hodari (MH 501)	0
516.	Caltana F1	0
195.	DH 02	0
625.	MM95/0183	0
294.	DK777	61
507.	Mavuno F1	2
445.	1 HG	0
699.	Salgaa	0
170.	KAK-Wimbi 3	0
234.	KH500-52A	0
313.	H625	0
511.	Pesa F1	0
490.	E97	0
660.	Mandarin	0
389.	Asante	0
442.	1G70	0
574.	Chinese Cavendish	0
128.	Cianku	0
311.	H6218	0
129.	Mbigo	0
197.	DH08	0
388.	Arnova	0
336.	KSTDV01	0
681.	Mituki	0
222.	H9401	0
694.	Safari	0
390.	Carolus	0
126.	Chelalang	0
577.	FHIA 01-Gold finger	0
403.	Kenya baraka	0
334.	KH600-23A	0
536.	Pinkerton	0
136.	KK ROSECOCO- 194	2
156.	KVU 419	0
472.	KAT/PRO I	0
484.	KSBH-02	0
379.	KAT 00301 (Ndengu Tosha)	1
520.	Faulu	0
667.	Mountain	0
246.	P3253	11
714.	Tumbili	0
512.	Emerald	0
621.	Karembo	0
123.	Kenya Wonder	0
526.	Sweet beauty	0
703.	KTRI 895/17	0
454.	Peacock/ICEAP00850	0
106.	GLP-585 Red haricot	0
704.	TRFK 597/1	0
432.	Taurus	0
610.	KME 61	0
725.	Georgia	0
293.	DH101	0
548.	Giant Cavendish	0
183.	Mfalme F1	0
258.	PHB30G19 (30G19)	2
532.	Wurtz	0
690.	Sukuma siku/Malkia	1
652.	Vandyke	0
645.	Francis	0
657.	Tarocco	0
299.	Duma 43 (SC 43)	84
613.	Tajirika	1
607.	Guzo	0
335.	Kishindo DLH458	0
384.	Acoustic	0
101.	Mwitemania (GLP 92)	426
271.	WE1101	0
439.	3H17	0
268.	TSAVO WE 4141	0
239.	KH600-23A	0
480.	KARIA-SH2	0
159.	P-224	0
554.	Kiganda	0
333.	KH600-20A	0
186.	ADV 2308W	0
509.	Chika (JKUAT)	0
342.	P3506W (3506W)	18
213.	H614D	1
503.	Anna F1	0
274.	WE4141	0
291.	DH04	39
451.	Katumani 60/8	0
110.	Kat X56	3
391.	Caruso	0
236.	KH600-15A	0
295.	DK8031	137
437.	Wanjiku	1
196.	DH04	0
407.	Kenya sifa	0
300.	EVAZEA (WE1101)	0
303.	H516	8
385.	Ambition	0
276.	WH403	0
318.	HARAKA (WH 101)	38
675.	Cal-J	0
331.	KH600-15A	0
356.	Punda Milia 53 (513)	1
428.	Saviola	1
359.	Simba 61 (SC627)	9
626.	Cassava variety Katsuhanzala (990132)	0
160.	EUFM 401	0
135.	MN9 (Kenya Maua)	0
482.	Hybrid Mtama 1-SH-01	0
576.	Exera	0
587.	Kifutu	0
495.	Sweet Sorg 1	0
598.	Prata	0
289.	Bazooka	1
519.	Joy F1	1
604.	Valery	0
109.	Kat X 16	2
354.	PHB30G19 (30G19)	3
553.	Kifutu	0
278.	WH505	0
348.	PAN 4M-19	0
461.	KAT 554	0
674.	Elgon Ndume	0
193.	AMINIKA WH 509	0
535.	Carmen	0
119.	Miezi Mbili	3
405.	Kenya mavuno	0
130.	KAT-RM01 (KATRAM)	0
522.	Early scarlet F1	0
609.	KME 1	0
309.	H6210	0
593.	Ngombe	0
450.	KARI Mbaazi 2	0
417.	Milva	0
169.	KAK-Wimbi 2	0
440.	1HD1	0
131.	EMBEAN14 (MWENDE)	0
198.	DH101	0
653.	Washington navel	0
127.	Tasha	0
488.	EUSH 1 Hybrid	0
248.	P3812W (3812W)	5
712.	Migyeera	0
662.	Satsuma	0
380.	KAT 00309 (Ndengu Karembo)	0
283.	AMINIKA WH 401	1
622.	KME2	0
467.	IS76	0
327.	KH500-43A	0
628.	MM98/3567	0
163.	GBK 043254	0
151.	M66	0
235.	KH600-11D	0
350.	PAN 691	1
243.	Mituki (KDH 3)	0
682.	Bawito F1	0
501.	Roma F1	0
242.	MILIMA WH 605	0
285.	AMINIKA WH 504	2
539.	Apple	0
680.	Mituki	1
463.	Serena	0
581.	FHIA17	0
540.	Chinese Cavendish	0
264.	Sungura 301 (SC301)	1
549.	Grand Nain	0
497.	EUSS 11	0
265.	SY594	0
425.	Rudolph	0
727.	Detroit Dark Red	0
415.	Markies	0
100.	Local variety	1801
678.	Roma Vf	0
355.	Punda Milia 529 (SC529)	4
344.	PAN 14	13
287.	AMINIKA WH 507	4
338.	Mituki (KDH 3)	0
412.	Laura	0
469.	Gadam	0
595.	Nusu-Ngombe	0
148.	KKRIL05/CAL33	0
107.	GLP-X 1127 New Mwezi Moja	1
458.	Mituki	0
103.	Mwezi Moja (GLP1004)	1
716.	Tumbili	0
729.	Gloria	0
671.	Rio Grande	1
478.	Legio	0
636.	06K486	0
351.	PAN 7M-81	0
571.	Williams	0
269.	Twiga 81	0
524.	Charleston grey	0
708.	KTRI 914/39	0
465.	BJ28	0
709.	KTRI 895/7	0
383.	KAT N26 (Nylon)	0
401.	Faluka	0
630.	MM98/0291	0
485.	KS-sorg1	0
155.	KVU27-1	0
489.	KM 32 -1	0
441.	6B170	0
414.	Manitou	0
517.	Monset F1	0
568.	Uganda Green	0
695.	Molo seed	0
557.	muraru	0
582.	Giant Cavendish	0
228.	KH125-01-SG (MALAIKA 125)	0
340.	P30G19	23
249.	PAN 14	0
256.	PH1 (Pwani Hybrid)	0
494.	Sweet Sorg 21	0
347.	PAN 3M-05	3
206.	H512	0
409.	Konjo	0
279.	WH507	0
214.	H6210	0
514.	M82	0
272.	WE2107	0
147.	KKRIL05/RED13	1
181.	U-15 (MARIDADI)	0
297.	DKC90-89	8
559.	Ngombe	0
434.	Toluca	0
207.	H513	0
245.	P30G19	0
301.	H512	6
602.	Uganda Green	0
531.	Reed	0
178.	Nakuru/FMI	0
142.	KAT-SW-12	0
104.	Canadian Wonder (GLP-24)	0
366.	Twiga 83	0
332.	KH600-16A	0
687.	Ultravetis	0
594.	Ngombe	0
533.	Mulama	0
552.	Kampala	0
466.	2Kx17	0
427.	Sarpo mira	0
227.	KDV6	0
286.	AMINIKA WH 505	35
416.	Mayan gold	0
474.	E1291	0
229.	KH500-22A	0
349.	PAN 4M-21	0
719.	Sweety F1	0
569.	Uganda Green	0
691.	Sugarloaf	0
102.	Rosecoco (GLP2)	71
396.	Desiree	2
133.	MN3 (Kenya Almasi)	0
357.	Sawa	3
164.	I.E. 4115	0
538.	local variety	0
251.	PAN 3M-05	0
566.	Soth	0
122.	Super Rose Coco	3
173.	KNE 629	0

Summary Statistics: StDev 126.60620059268908; Max. 888.0; Valid 3642.0; Mean 181.71224601867277; Min. 100.0;

Variable Format: numeric

Notes: UNF:6:FD7E+zeJXoiWJRB7ckvRYQ==

Q6. Was this crop grown in this parcel an intercrop or pure stand?

f10421824 Location:

Value	Label	Frequency	Text
1.	purestand	1420
2.	Intercrop	2225

Summary Statistics: Valid 3645.0; Max. 2.0; StDev 0.48772074595690573; Min. 1.0; Mean 1.6104252400548698;

Variable Format: numeric

Notes: UNF:6:Jj/o+5mxQW6doMbzznqq1w==

Q7. Approximately what proportion of the parcel was planted with this crop?

f10421824 Location:

Summary Statistics: Min. 0.20689654350280762; Valid 3642.0; StDev 27.63009925995496; Mean 41.54231896446592; Max. 100.0;

Variable Format: numeric

Notes: UNF:6:e+t5dyWvSDkqezKg6ajWjw==

Area of parcel with the crop in HA

f10421824 Location:

Summary Statistics: Min. 7.496801554225385E-4; Valid 3644.0; Mean 0.1898793796409679; Max. 1.8210853338241577; StDev 0.2385703661455988

Variable Format: numeric

Notes: UNF:6:ol0xBrYTSdDmI1Y5wVFwQw==

Q9. What type of seed was mostly used for this crop?

f10421824 Location:

Value	Label	Frequency	Text
1.	Traditional	1801
2.	Improved	1844

Summary Statistics: Valid 3645.0; Mean 1.5058984910836772; StDev 0.500033803040048; Max. 2.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:8ZT2k4zVvGuMvQaSKf51nQ==

DQ10. Why did you choose to use these seeds for ${cropname_minor} in this${par

f10421824 Location:

Value	Label	Frequency
4.	Advice from extension officer	18
1.	Unavailability of improved seeds	58
5.	Advice from input supplier	108
6.	Advice from fellow farmer	258
3.	Preference for traditional variety	339
7.	Suitable for this area	2487
2.	Improved variety is too expensive	348
88.	Other	29

Summary Statistics: Mean 6.554732510288063; Max. 88.0; StDev 7.529858801011712; Valid 3645.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:osYBvmDk5e3WTp/Nmxlm7w==

Q11. Did you purchase any seeds used for this crop?

f10421824 Location:

Value	Label	Frequency	Text
0.	no	1272
1.	yes	2373

Summary Statistics: Max. 1.0; Mean 0.6510288065843676; StDev 0.4767102327270079; Min. 0.0; Valid 3645.0;

Variable Format: numeric

Notes: UNF:6:Ccctcsz6hroZhmSeX6s3Bw==

D2Q12. What was/were the source(s) of seeds for this ${cropname_minor} in this\

f10421824 Location:

Variable Format: character

Notes: UNF:6:5K5Cr8mgOwsU4pbZBmld4Q==

Seed source: Local market

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	1096
0.	no	1277

Summary Statistics: Valid 2373.0; StDev 0.49864849688558444; Mean 0.4618626211546598; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Gfs2xJbTPYClur+c5Z6++g==

Seed source: Social network

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	169
0.	no	2204

Summary Statistics: Valid 2373.0; Max. 1.0; Min. 0.0; Mean 0.0712178676780453; StDev 0.25724262695773903

Variable Format: numeric

Notes: UNF:6:i3UIusVd/sgtNBOj2uI9yQ==

Seed source: Agro-input dealer

f10421824 Location:

Value	Label	Frequency	Text
0.	no	1272
1.	yes	1101

Summary Statistics: Mean 0.46396965865991663; StDev 0.49880523603628973; Valid 2373.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:LuGwqPAFyppzmuQg+J163A==

Seed source: Community seed bank

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2367
1.	yes	6

Summary Statistics: StDev 0.05023062046059046; Valid 2373.0; Min. 0.0; Max. 1.0; Mean 0.0025284450063210962

Variable Format: numeric

Notes: UNF:6:N8Xho6wmsB10oPvHRwPgjA==

Seed source: County government

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2373
1.	yes	0

Summary Statistics: Mean 0.0; Valid 2373.0; StDev 0.0; Min. 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:faJT+HnW7iDZleC+5TPZog==

Seed source: NGO

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	21
0.	no	2352

Summary Statistics: Valid 2373.0; Min. 0.0; Mean 0.00884955752212382; Max. 1.0; StDev 0.09367465334662171;

Variable Format: numeric

Notes: UNF:6:LUxEM8P54SnMEnAhXTERqg==

Seed source: KCSAP/Ministry of Agriculture

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2373
1.	yes	0

Summary Statistics: Min. 0.0; Max. 0.0; Mean 0.0; StDev 0.0; Valid 2373.0

Variable Format: numeric

Notes: UNF:6:faJT+HnW7iDZleC+5TPZog==

How much seed used were purchased? (Kg)

f10421824 Location:

Summary Statistics: Valid 2350.0; Mean 23.21301868772697; Min. 0.0010000000474974513; StDev 89.28890841481477; Max. 1300.0

Variable Format: numeric

Notes: UNF:6:jfPW7da/jmIyImYH1+XNQQ==

Q15. How much did you spend on the seeds that you purchased (KES)?

f10421824 Location:

Summary Statistics: Max. 25200.0; Min. 3.0; Valid 2373.0; Mean 1890.6021913190161; StDev 3015.100036406735

Variable Format: numeric

Notes: UNF:6:gzpchF7HR94fcxDivP3fIA==

q16. Did you receeive any seeds for free?

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	301
0.	no	3344

Summary Statistics: Valid 3645.0; Max. 1.0; Mean 0.08257887517146638; Min. 0.0; StDev 0.2752823909708889

Variable Format: numeric

Notes: UNF:6:99M6zJbVpfAJ7oViKJYQeA==

Quantity of seeds received for free (Kg)

f10421824 Location:

Summary Statistics: Min. 0.0010000000474974513; StDev 48.09885720196833; Max. 544.3999633789062; Mean 21.365615291428732; Valid 294.0

Variable Format: numeric

Notes: UNF:6:eSKNARM6G+NbmjRUMCHImQ==

Q19. From whom did you obtain free seeds?

f10421824 Location:

Value	Label	Frequency
4.	NGO	7
6.	KCSAP/Ministry of Agriculture	4
3.	Agricultural cooperative	4
2.	Friend/neighbor/fellow farmer	190
5.	County government	2
1.	Relatives	94

Summary Statistics: Min. 1.0; Mean 1.8205980066445182; Valid 301.0; Max. 6.0; StDev 0.8130442635732382;

Variable Format: numeric

Notes: UNF:6:IKlIxYgrZBPzh4Q1veROKA==

Q20. Was any of the seeds used in this parcel a leftover from the previous seaso

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2632
1.	yes	1013

Summary Statistics: Mean 0.27791495198902294; Valid 3645.0; Min. 0.0; StDev 0.4480327022827681; Max. 1.0

Variable Format: numeric

Notes: UNF:6:xvxIfJMXR6UTRUTbpHii5A==

Left over seed quantity (Kg)

f10421824 Location:

Summary Statistics: Min. 0.010000000707805157; Valid 1007.0; StDev 38.84235212212336; Mean 17.514782367744694; Max. 390.0

Variable Format: numeric

Notes: UNF:6:pLhuXvSu4Ly8ukw/gsJSrw==

Q25. At what time was seed for this crop available?

f10421824 Location:

Value	Label	Frequency
1.	Before planting season	887
3.	Towards the end of season	8
2.	At start of the season	118

Summary Statistics: Valid 1013.0; Min. 1.0; Mean 1.1322803553800591; Max. 3.0; StDev 0.3615327936009188

Variable Format: numeric

Notes: UNF:6:Vrr6AvcGDPphkfuiPYMruw==

Q26. Were the seeds for the crop on this parcel clean

f10421824 Location:

Value	Label	Frequency
1.	Clean (no impurities, no damage)	3147
2.	Fairly clean (some impurities, no damage)	457
3.	Not clean (some impurities and damage)	41

Summary Statistics: Mean 1.1478737997256483; StDev 0.3854146632706968; Max. 3.0; Min. 1.0; Valid 3645.0;

Variable Format: numeric

Notes: UNF:6:d+23RumnRkhp3GjzJf9bLw==

D2Q27. How was the germination of the seeds of ${cropname_minor} in this${parc

f10421824 Location:

Value	Label	Frequency
1.	Good	3016
2.	Fair	550
3.	Poor	79

Summary Statistics: Min. 1.0; Mean 1.1942386831275718; Valid 3645.0; Max. 3.0; StDev 0.44711510081517886

Variable Format: numeric

Notes: UNF:6:/VRADKqb7oDAOyhtPvwDLQ==

D2Q28. Have you lost seeds for this ${cropname_minor} in this${parcel_cultivat

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2418
1.	yes	1227

Summary Statistics: Valid 3645.0; Mean 0.3366255144032923; Min. 0.0; Max. 1.0; StDev 0.47262041712058017

Variable Format: numeric

Notes: UNF:6:FOOmUlUWo1NpWluehzeuVg==

D2Q29. What was the main reason for lost seeds for ${cropname_minor} in this${

f10421824 Location:

Value	Label	Frequency
4.	Excess water	40
6.	Frost	54
3.	Drought	748
7.	Theft	11
5.	Hailstorm	40
88.	Other	12
1.	Diseases	41
2.	Pests	281

Summary Statistics: Mean 3.8011409942950296; Max. 88.0; Valid 1227.0; Min. 1.0; StDev 8.434542045228666

Variable Format: numeric

Notes: UNF:6:V2ELlr0zfCLlO+9FrFey7Q==

Q7. Did you use Organic Fertilizer on this crop in this parcel?

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	795
0.	no	2850

Summary Statistics: StDev 0.4130171103531546; Max. 1.0; Mean 0.21810699588477553; Valid 3645.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:f7ZViy6zkO47o0lBbkNrHg==

Q8. What type of Organic Fertilizer did you use on this crop?

f10421824 Location:

Value	Label	Frequency
4.	A combination	55
3.	Plant waste	3
2.	Animal waste	736
1.	Peat	1

Summary Statistics: Max. 4.0; Min. 1.0; Mean 2.140880503144654; Valid 795.0; StDev 0.5120972136533065;

Variable Format: numeric

Notes: UNF:6:gZrDvR3MCE+IjA1ziSNOWA==

How much Organic Fertilizer did you use on this crop? (Kg)

f10421824 Location:

Summary Statistics: Valid 795.0; Max. 2728.5712890625; StDev 343.1291207083257; Min. 9.0; Mean 286.34727083002247;

Variable Format: numeric

Notes: UNF:6:mVkUtOlHeHDMzNzow3JMEA==

10. How much (KES) did you spend in oganic fertilizer used on this crop?

f10421824 Location:

Summary Statistics: Mean 718.3166666666667; Valid 60.0; StDev 776.6382900783474; Min. 8.0; Max. 4000.0;

Variable Format: numeric

Notes: UNF:6:95MRC0S/zlSAHk+U0m2a/w==

Q11. Did you use any inorganic fertilizer on this crop?

f10421824 Location:

Value	Label	Frequency	Text
0.	no	2535
1.	yes	1110

Summary Statistics: Mean 0.3045267489711918; Min. 0.0; Valid 3645.0; Max. 1.0; StDev 0.46026984301269047

Variable Format: numeric

Notes: UNF:6:+AVjWVSamnCJm7qwWmqJNA==

Q12_1. What was first inorganic fertilizer used on this crop

f10421824 Location:

Value	Label	Frequency
6.	Yara and other blended brands	1
11.	Super D	1
10.	S.compound	0
1.	Urea	125
7.	Foliar feeds	258
9.	D.compound	362
2.	NPK	58
8.	SA	0
4.	CAN	302
12.	Lime	0

Summary Statistics: Min. 1.0; Max. 888.0; StDev 45.903308959887475; Mean 8.2828828828829; Valid 1110.0

Variable Format: numeric

Notes: UNF:6:rutoKEQ88DXQwTeAm7PS4A==

Q12_2. What was 2nd inorganic fertilizer used on this crop

f10421824 Location:

Value	Label	Frequency
12.	Lime	0
1.	Urea	0
8.	SA	0
9.	D.compound	260
7.	Foliar feeds	67
2.	NPK	10
11.	Super D	1
10.	S.compound	1
6.	Yara and other blended brands	0
4.	CAN	45

Summary Statistics: Min. 2.0; StDev 1.9223885341522948; Valid 384.0; Max. 11.0; Mean 7.890625

Variable Format: numeric

Notes: UNF:6:wwNeOMJhS2iIb0jiJgBi1g==

Q12_2. What was 3rd inorganic fertilizer used on this crop

f10421824 Location:

Value	Label	Frequency
10.	S.compound	0
8.	SA	0
7.	Foliar feeds	4
6.	Yara and other blended brands	0
2.	NPK	0
9.	D.compound	61
11.	Super D	0
12.	Lime	0
4.	CAN	0
1.	Urea	0

Summary Statistics: Max. 9.0; Min. 7.0; StDev 0.48437112281326644; Mean 8.876923076923077; Valid 65.0;

Variable Format: numeric

Notes: UNF:6:lQPmR2NGDI7bSBALzCRAlQ==

Q12_2. What was 4th inorganic fertilizer used on this crop

f10421824 Location:

Value	Label	Frequency
12.	Lime	0
11.	Super D	0
9.	D.compound	1
2.	NPK	0
7.	Foliar feeds	0
4.	CAN	0
6.	Yara and other blended brands	0
1.	Urea	0
8.	SA	0
10.	S.compound	0

Summary Statistics: Mean 9.0; Valid 1.0; Max. 9.0; Min. 9.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:YZfbqzRRu9LugGGMwL7B7w==

Q13. How much inorganic fertilizer did you use on this crop (Kg)?

f10421824 Location:

Summary Statistics: Max. 106.0; Valid 1110.0; Min. 0.019999999552965164; StDev 23.98753036803446; Mean 20.943288286026945;

Variable Format: numeric

Notes: UNF:6:ylNctLCGKXMwgXnh2G0AaQ==

Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?

f10421824 Location:

Summary Statistics: Mean 2638.575429087627; Max. 17500.0; Valid 1107.0; Min. 24.0; StDev 2813.9165385850843;

Variable Format: numeric

Notes: UNF:6:qXN+53zbClcsiqfSWhZfLA==

Q15. Did you use any pesticide on this crop?

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	663
0.	no	2982

Summary Statistics: Max. 1.0; Mean 0.181893004115227; Min. 0.0; StDev 0.3858092476806889; Valid 3645.0

Variable Format: numeric

Notes: UNF:6:5ec30/kLP2lNmeKrHnfZ8Q==

Q19. How much (KES) did you spend in pesticide used on this crop?

f10421824 Location:

Summary Statistics: Valid 659.0; Max. 14000.0; Mean 1054.534142640364; StDev 1322.2608700566477; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:MEWtq0oDEVO5QH1tsYscVg==

Q17_1. What was first brand of pesticide used on this crop

f10421824 Location:

Value	Label	Frequency
35.	TIFER 50EC	35
37.	Animal waste (Rabbit urine)	1
69.	Stage 250EW	0
54.	Profecron	49
42.	Duduwil 315E	50
30.	SHOTGUN 20%SP	0
32.	FOLIMAT 500SL	1
52.	Botran	5
26.	Cyclotron 450EC	1
78.	Mancobex	0
62.	Alphasumu 10EC	7
50.	Tajiri	17
48.	Zipon	0
34.	OSHOTHION 50EC	9
13.	SIVANTO PRIME SL 200	0
5.	DECIS EC 025	0
24.	Profile	5
39.	Emmaron 30sc	6
61.	Preshaur	0
70.	Antracol	0
11.	REDIGO DETER	0
66.	Imaxi	2
23.	Duduthrin	59
46.	Reaper	0
33.	WADUDUKLIN 25EC	11
59.	Alphago 100EC	11
63.	Twiga	2
85.	Profen 10.8EC	2
64.	Rodazim 50SC	0
94.	BiddiQuat	0
58.	Romectin	1
8.	MOVENTO OD 15	1
82.	Bentil 23EC	0
55.	Vondozeb 75DG	12
27.	PENTAGON	4
3.	CONFIDOR SL 200	1
67.	Ambar 480SC	0
18.	Atom	3
44.	Crop Wonder Max	1
-99.	Don’t know	89
92.	Dawacide 25% EC	0
21.	Jackpot	0
4.	CONFIDOR WG 70	1
7.	GAUCHO FS 350	0
16.	ALPHAGUARD	40
45.	Calmapor	0
22.	Kingcode elite	3
9.	OBERON SC 240	0
51.	Score 250EC	1
53.	Alphakill	23
31.	ORTAN 970WDG	1
86.	Zyban	2
74.	Tinga tinga top	6
80.	Blight force	15
36.	ASTER EXTRIM 20SL	1
40.	DIAZOL 60EC	5
29.	BOTATOX	10
93.	Ninja plus 5%EC	9
79.	Masterkinga	30
83.	Dudu Afrikill	15
76.	Kenthane 800WP	8
73.	Alfatox	14
20.	Karate	3
2.	CALYPSO SC 480	1
81.	Albaz 10EC	2
57.	Emthane 45WP	7
49.	Calmag	1
75.	Beansclean 480SL	14
88.	Oshothane 80WP	3
68.	Sussita 50EC	0
19.	Escort	5
87.	Fedothion 50 EC	1
28.	PRESENTO	2
77.	Wetsulfjet 80%WDG	0
38.	Hallothrin	0
25.	Salbun	0
15.	VELUM PRIME SC 500	0
17.	ALPHA DEGREE	11
65.	Alphasin EC	1
6.	DECIS FORTE EC 100	0
43.	Top Guard 500AC	4
1.	BELT 480 SC	9
47.	Super	8
41.	Golden Leaf	6
12.	REQUIEM PRIME	0
14.	TIHAN OD 175	1
91.	Bestox 100EC	5
71.	Alpha Simba	2
84.	D-C-Tron Plus	1
56.	Abalone	0
10.	OBERON SPEED SC 240	0
89.	Prosper 440EC	0
72.	Restore	1
60.	Diepest 5ME	5
90.	MasterKutu 72Wp	1

Summary Statistics: Min. -99.0; StDev 54.08078191009883; Max. 93.0; Valid 663.0; Mean 27.242835595776757

Variable Format: numeric

Notes: UNF:6:BA1clXC72yxUfjs7tFu3VQ==

Q17_2. What was 2nd brand of pesticide used on this crop

f10421824 Location:

Value	Label	Frequency
65.	Alphasin EC	0
59.	Alphago 100EC	0
21.	Jackpot	0
15.	VELUM PRIME SC 500	0
91.	Bestox 100EC	8
63.	Twiga	0
29.	BOTATOX	0
27.	PENTAGON	1
77.	Wetsulfjet 80%WDG	4
89.	Prosper 440EC	0
7.	GAUCHO FS 350	0
32.	FOLIMAT 500SL	2
72.	Restore	9
51.	Score 250EC	0
13.	SIVANTO PRIME SL 200	0
9.	OBERON SC 240	0
93.	Ninja plus 5%EC	3
62.	Alphasumu 10EC	0
87.	Fedothion 50 EC	0
79.	Masterkinga	20
88.	Oshothane 80WP	6
64.	Rodazim 50SC	0
58.	Romectin	0
17.	ALPHA DEGREE	0
66.	Imaxi	1
22.	Kingcode elite	0
16.	ALPHAGUARD	0
47.	Super	2
81.	Albaz 10EC	0
48.	Zipon	0
30.	SHOTGUN 20%SP	0
90.	MasterKutu 72Wp	2
5.	DECIS EC 025	0
45.	Calmapor	1
8.	MOVENTO OD 15	0
50.	Tajiri	1
4.	CONFIDOR WG 70	1
41.	Golden Leaf	2
85.	Profen 10.8EC	1
46.	Reaper	1
60.	Diepest 5ME	3
6.	DECIS FORTE EC 100	0
20.	Karate	0
24.	Profile	4
49.	Calmag	0
67.	Ambar 480SC	0
36.	ASTER EXTRIM 20SL	0
44.	Crop Wonder Max	1
73.	Alfatox	3
26.	Cyclotron 450EC	0
56.	Abalone	0
69.	Stage 250EW	0
33.	WADUDUKLIN 25EC	3
94.	BiddiQuat	0
3.	CONFIDOR SL 200	0
68.	Sussita 50EC	0
38.	Hallothrin	0
28.	PRESENTO	0
53.	Alphakill	3
75.	Beansclean 480SL	5
57.	Emthane 45WP	9
10.	OBERON SPEED SC 240	0
74.	Tinga tinga top	2
83.	Dudu Afrikill	12
76.	Kenthane 800WP	8
19.	Escort	0
23.	Duduthrin	2
-99.	Don’t know	0
31.	ORTAN 970WDG	0
2.	CALYPSO SC 480	0
18.	Atom	0
40.	DIAZOL 60EC	0
42.	Duduwil 315E	4
82.	Bentil 23EC	2
43.	Top Guard 500AC	1
39.	Emmaron 30sc	0
55.	Vondozeb 75DG	16
11.	REDIGO DETER	0
52.	Botran	1
54.	Profecron	7
34.	OSHOTHION 50EC	3
71.	Alpha Simba	0
12.	REQUIEM PRIME	0
35.	TIFER 50EC	6
84.	D-C-Tron Plus	0
61.	Preshaur	0
1.	BELT 480 SC	0
70.	Antracol	0
80.	Blight force	7
92.	Dawacide 25% EC	0
37.	Animal waste (Rabbit urine)	0
25.	Salbun	0
78.	Mancobex	3
86.	Zyban	0
14.	TIHAN OD 175	0

Summary Statistics: Valid 170.0; StDev 19.514750282640165; Mean 65.2235294117647; Max. 93.0; Min. 4.0

Variable Format: numeric

Notes: UNF:6:c8BBa96IPx1Ln9nagt97CA==

Q17_4. What was 3rd brand of pesticide used on this crop

f10421824 Location:

Value	Label	Frequency
59.	Alphago 100EC	0
39.	Emmaron 30sc	0
91.	Bestox 100EC	1
94.	BiddiQuat	0
48.	Zipon	0
18.	Atom	0
74.	Tinga tinga top	0
58.	Romectin	0
15.	VELUM PRIME SC 500	0
54.	Profecron	2
73.	Alfatox	1
17.	ALPHA DEGREE	0
1.	BELT 480 SC	0
13.	SIVANTO PRIME SL 200	0
43.	Top Guard 500AC	0
87.	Fedothion 50 EC	0
47.	Super	0
8.	MOVENTO OD 15	0
-99.	Don’t know	0
2.	CALYPSO SC 480	0
79.	Masterkinga	3
26.	Cyclotron 450EC	0
50.	Tajiri	0
69.	Stage 250EW	0
22.	Kingcode elite	0
10.	OBERON SPEED SC 240	0
51.	Score 250EC	0
27.	PENTAGON	0
25.	Salbun	0
21.	Jackpot	0
45.	Calmapor	0
78.	Mancobex	1
23.	Duduthrin	1
44.	Crop Wonder Max	0
80.	Blight force	1
29.	BOTATOX	0
70.	Antracol	0
20.	Karate	0
14.	TIHAN OD 175	0
28.	PRESENTO	0
86.	Zyban	0
53.	Alphakill	0
81.	Albaz 10EC	0
61.	Preshaur	0
33.	WADUDUKLIN 25EC	2
60.	Diepest 5ME	0
34.	OSHOTHION 50EC	2
49.	Calmag	0
32.	FOLIMAT 500SL	0
36.	ASTER EXTRIM 20SL	0
30.	SHOTGUN 20%SP	0
40.	DIAZOL 60EC	0
16.	ALPHAGUARD	0
71.	Alpha Simba	0
76.	Kenthane 800WP	0
77.	Wetsulfjet 80%WDG	1
93.	Ninja plus 5%EC	0
31.	ORTAN 970WDG	0
4.	CONFIDOR WG 70	0
3.	CONFIDOR SL 200	0
63.	Twiga	0
35.	TIFER 50EC	0
92.	Dawacide 25% EC	2
5.	DECIS EC 025	0
64.	Rodazim 50SC	0
88.	Oshothane 80WP	0
38.	Hallothrin	0
84.	D-C-Tron Plus	0
19.	Escort	0
55.	Vondozeb 75DG	0
62.	Alphasumu 10EC	0
9.	OBERON SC 240	0
56.	Abalone	0
41.	Golden Leaf	0
85.	Profen 10.8EC	0
52.	Botran	0
7.	GAUCHO FS 350	0
67.	Ambar 480SC	0
6.	DECIS FORTE EC 100	0
72.	Restore	4
46.	Reaper	0
37.	Animal waste (Rabbit urine)	0
82.	Bentil 23EC	0
75.	Beansclean 480SL	0
89.	Prosper 440EC	2
42.	Duduwil 315E	1
11.	REDIGO DETER	0
12.	REQUIEM PRIME	0
90.	MasterKutu 72Wp	1
65.	Alphasin EC	0
57.	Emthane 45WP	2
24.	Profile	0
68.	Sussita 50EC	0
83.	Dudu Afrikill	1
66.	Imaxi	0

Summary Statistics: StDev 21.191742426944206; Valid 28.0; Max. 92.0; Mean 67.14285714285714; Min. 23.0;

Variable Format: numeric

Notes: UNF:6:2jyauLHnwyl8VJMjaJVnKQ==

Q17_4. What was 4th brand of pesticide used on this crop

f10421824 Location:

Value	Label	Frequency
44.	Crop Wonder Max	0
42.	Duduwil 315E	0
29.	BOTATOX	0
63.	Twiga	0
43.	Top Guard 500AC	0
81.	Albaz 10EC	0
46.	Reaper	0
64.	Rodazim 50SC	0
88.	Oshothane 80WP	0
13.	SIVANTO PRIME SL 200	0
56.	Abalone	0
76.	Kenthane 800WP	0
3.	CONFIDOR SL 200	0
87.	Fedothion 50 EC	0
39.	Emmaron 30sc	0
84.	D-C-Tron Plus	0
77.	Wetsulfjet 80%WDG	0
54.	Profecron	1
53.	Alphakill	0
71.	Alpha Simba	0
19.	Escort	0
79.	Masterkinga	0
32.	FOLIMAT 500SL	0
92.	Dawacide 25% EC	0
83.	Dudu Afrikill	0
94.	BiddiQuat	0
70.	Antracol	0
52.	Botran	0
22.	Kingcode elite	0
1.	BELT 480 SC	0
2.	CALYPSO SC 480	0
41.	Golden Leaf	0
4.	CONFIDOR WG 70	0
50.	Tajiri	0
17.	ALPHA DEGREE	0
33.	WADUDUKLIN 25EC	0
78.	Mancobex	0
75.	Beansclean 480SL	0
-99.	Don’t know	0
37.	Animal waste (Rabbit urine)	0
48.	Zipon	0
16.	ALPHAGUARD	0
67.	Ambar 480SC	0
8.	MOVENTO OD 15	0
15.	VELUM PRIME SC 500	0
91.	Bestox 100EC	0
68.	Sussita 50EC	0
90.	MasterKutu 72Wp	0
5.	DECIS EC 025	0
25.	Salbun	0
69.	Stage 250EW	0
28.	PRESENTO	0
36.	ASTER EXTRIM 20SL	0
57.	Emthane 45WP	0
14.	TIHAN OD 175	0
31.	ORTAN 970WDG	0
49.	Calmag	0
12.	REQUIEM PRIME	0
34.	OSHOTHION 50EC	0
59.	Alphago 100EC	0
86.	Zyban	0
73.	Alfatox	0
10.	OBERON SPEED SC 240	0
24.	Profile	0
23.	Duduthrin	0
74.	Tinga tinga top	1
55.	Vondozeb 75DG	0
6.	DECIS FORTE EC 100	0
62.	Alphasumu 10EC	0
38.	Hallothrin	0
35.	TIFER 50EC	0
82.	Bentil 23EC	0
20.	Karate	0
51.	Score 250EC	0
18.	Atom	0
21.	Jackpot	0
58.	Romectin	0
93.	Ninja plus 5%EC	0
47.	Super	0
89.	Prosper 440EC	0
7.	GAUCHO FS 350	0
60.	Diepest 5ME	0
72.	Restore	0
45.	Calmapor	0
85.	Profen 10.8EC	0
66.	Imaxi	0
9.	OBERON SC 240	0
80.	Blight force	0
27.	PENTAGON	0
11.	REDIGO DETER	0
26.	Cyclotron 450EC	0
30.	SHOTGUN 20%SP	0
65.	Alphasin EC	0
40.	DIAZOL 60EC	0
61.	Preshaur	0

Summary Statistics: Mean 64.0; StDev 14.142135623730951; Max. 74.0; Min. 54.0; Valid 2.0;

Variable Format: numeric

Notes: UNF:6:H1A+TUMfB3SGCPpzGyeEIw==

Q18. How much Pesticide did you use on this crop (Kg)?

f10421824 Location:

Summary Statistics: Max. 5.0; Mean 0.7758371047507033; Valid 663.0; Min. 0.004999999888241291; StDev 0.8476205436371481

Variable Format: numeric

Notes: UNF:6:ubAuIv/JOB+lJ/DjRwCSMQ==

Q20. Did you use any herbicides on this crop?

f10421824 Location:

Value	Label	Frequency	Text
1.	yes	79
0.	no	3566

Summary Statistics: Mean 0.021673525377229188; Valid 3645.0; StDev 0.14563516915888539; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:BOQL1wwglmo4WwAIKQG16A==

Q23. How much did you spend in Herbicide used on this crop?

f10421824 Location:

Summary Statistics: Valid 79.0; Mean 1159.2278481012659; Max. 5000.0; StDev 995.3864852970311; Min. 1.0

Variable Format: numeric

Notes: UNF:6:v7EmMe4SktISvNpFLeiMGA==

Q21_1. What was first herbicide used on this crop

f10421824 Location:

Value	Label	Frequency
3.	ATTRIBUT WG 70	0
12.	Garlon 4	0
2.	ATLANTIS MAX OD 37.5	0
16.	Lontrel	0
6.	Confront	0
37.	Kausha 480SL	17
33.	Transline	0
18.	Milestone	0
10.	Escort	1
35.	Velpar	0
1.	ARSENAL	5
28.	SEKATOR OD 375	0
11.	Garlon 3A	0
23.	Rodeo	0
24.	Roundup (18% conc)	1
20.	Pathfinder II	0
30.	Telar	0
17.	Low vol 4D	0
15.	Kamex	0
7.	Crossbow	0
29.	SENCOR SC 480	0
38.	Maguguma	25
5.	Banvel	0
21.	Plateau	0
14.	HUSKIE EC 256	0
9.	Envy 2,4-D	0
25.	Roundup Pro	13
36.	weedar 64	4
39.	Maize pro	0
40.	Gramaxon	0
34.	Vanguish	0
27.	Scotts 30-5-5 wConfront	0
19.	Oust	0
22.	RALON SUPER EW 75	0
26.	ROUNDUP TURBO SL 450	12
8.	Direx 4L	0
13.	GUARDIAN MAX	0
4.	AUXO EC 337	0
32.	Tordon 22k	0
31.	Topsite	1

Summary Statistics: Min. 1.0; StDev 9.9295146547455; Valid 79.0; Max. 38.0; Mean 30.759493670886076

Variable Format: numeric

Notes: UNF:6:fUSHv8RKWMYNwh1lB0wRlQ==

Q22. How much Herbicide did you use on this crop?

f10421824 Location:

Summary Statistics: Mean 13.937341772585727; Min. 0.10000000149011612; Valid 79.0; Max. 500.0; StDev 78.84312095749753;

Variable Format: numeric

Notes: UNF:6:q1CgRYkJn4ol6Xl9nXcl1A==

Harvest in Kgs

f10421824 Location:

Summary Statistics: Min. 0.5; StDev 1046.7522840329523; Valid 3047.0; Mean 177.97366272374126; Max. 30000.0

Variable Format: numeric

Notes: UNF:6:wsI3neQJeEBZVv9Jx/Iwxw==

DQ25. What was the estimated total value (KES) of the ${cropname_minor} crop ha

f10421824 Location:

Summary Statistics: Mean 10790.790407358738; Valid 3044.0; Max. 2470000.0; Min. 10.0; StDev 53583.131605785864

Variable Format: numeric

Notes: UNF:6:J9tVMWLaSc3qfkISaiz62Q==

Harvest sold in Kgs

f10421824 Location:

Summary Statistics: Max. 30000.0; Mean 460.4847782427733; StDev 2121.146312161656; Valid 718.0; Min. 0.44999998807907104;

Variable Format: numeric

Notes: UNF:6:AHcRPzRQvovjYVk4Pu/sug==

Price per Kg of produce sold

f10421824 Location:

Summary Statistics: StDev 88.30916485437528; Min. 2.222222328186035; Valid 718.0; Max. 1666.6666259765625; Mean 73.22309120651074

Variable Format: numeric

Notes: UNF:6:d5yyDv7sxTWJTAJKZsrgyg==

household identification number

f10421826 Location:

Summary Statistics: Valid 44.0; Mean 6.0287411E7; Min. 307.0; StDev 9.416943370405994E7; Max. 2.65231912E8;

Variable Format: numeric

Notes: UNF:6:8qt46mpfSTTCXOF8EllXkQ==

parcelID

f10421826 Location:

Summary Statistics: Mean 1.9318181818181819; Valid 44.0; Min. 1.0; StDev 0.8183286220188207; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:WFTFytHi5WlzEcZ6Ly+VIQ==

Name of the cultivated parcel in the 12 months

f10421826 Location:

Variable Format: character

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Name of the crop planted in the 12 months

f10421826 Location:

Value	Label	Frequency
319.	Lime/Lemon	1
154.	Commercial grass/pasture	0
336.	Jack fruit	0
322.	Oil palm	0
117.	Cucumber	0
148.	Tobacco	0
323.	Orange/Tangerine	3
301.	Avocado	2
321.	Nappier grass	11
326.	Pineapple	0
125.	Maize fodder	0
141.	Sesame seeds	0
327.	Plantain	1
325.	Pawpaw/Papaya	2
130.	Onion	0
108.	Cauliflower	0
315.	Garlic	0
314.	Tea	6
142.	Sorghum/Guinea corn	0
128.	Okra	0
320.	Mangoes	5
150.	Wheat	0
118.	Dolicos (Njahi)	0
112.	Corriander	0
140.	Rice	0
144.	Spinach	0
316.	Ginger	0
337.	Sisal	0
313.	Cotton	1
119.	Finger millet	0
324.	Passion Fruit	1
333.	Yam	0
317.	Macademia	0
304.	Banana (ripe)	4
309.	Coconut	0
139.	Pigeon pea (mbaazi)	0
103.	Beetroots	0
311.	Coffee	0
145.	Sweet potato	0
331.	Custard apple (matomoko)	1
149.	Tomatoes	0
126.	Maize	0
107.	Cabbage	0
399.	Other tree crops	2
332.	Sugarcane	0
398.	Other perennial crops	0
123.	Kale	0
113.	Courgette	0
143.	Soybean	0
152.	Indigenous vegetables	0
102.	Bean	0
334.	Tree tomato	0
120.	Field peas	0
138.	Peas green	0
330.	Shea nut	0
115.	Cowpea leaves	0
146.	Pearl millet (Mawele)	0
132.	Pumpkin leaves	0
151.	Watermelon	0
109.	Cassava	0
127.	Maize green	0
312.	Colanut	0
137.	Irish potato	0
116.	Capsicum (hoho)	0
135.	Green grams	0
888.	Other seasonal crops	0
105.	Broccoli	0
111.	Chickpea	0
308.	Cocoa	0
318.	Khat (Mira)	0
303.	Banana (cooking)	3
101.	Arrow roots	0
305.	Baobab	0
134.	Other pulses, nuts	0
114.	Cowpea	0
110.	Carrot	0
121.	French beans	0
306.	Cashew	0
124.	Leeks	0
129.	Oats	0
104.	Brinjals (Biringanya)	0
133.	Other cereals	0
136.	Pepper (Bell)	0
106.	Butter nuts	0
131.	Pumpkin	0
335.	Guavas	1
122.	Groundnut/Peanut	0
147.	Tiger nut	0
310.	Cocoyam	0
153.	Bambara bean	0

Summary Statistics: Mean 320.6363636363636; Valid 44.0; StDev 19.19434377573176; Min. 301.0; Max. 399.0

Variable Format: numeric

Notes: UNF:6:QX70wtFXLvaqq0VHwUduPw==

Q2. Is this ${cropname_12m} on ${parcel_cultivated_12m} parcel a fruit tree?

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	25
0.	no	19

Summary Statistics: Max. 1.0; Min. 0.0; Valid 44.0; Mean 0.5681818181818181; StDev 0.5010559673853126

Variable Format: numeric

Notes: UNF:6:6q3qljyj/6RVWTVXZRiVaA==

crop variety IDs

f10421826 Location:

Summary Statistics: Valid 44.0; Mean 246.2727272727273; StDev 243.39769004238806; Max. 710.0; Min. 100.0

Variable Format: numeric

Notes: UNF:6:oDS92D66Qbl5lIuF5LOfmA==

Q1a. What variety of crop did you mostly grow in this parcel?

f10421826 Location:

Value	Label	Frequency
315.	H629	0
654.	Maltese	0
227.	KDV6	0
563.	Poyo	0
191.	AMINIKA WH 507	0
259.	Punda Milia 529 (SC529)	0
554.	Kiganda	1
485.	KS-sorg1	0
229.	KH500-22A	0
646.	Glenn	0
596.	Paz	0
580.	FHIA 23	0
356.	Punda Milia 53 (513)	0
261.	Sawa	0
470.	Ikinyaluka	0
607.	Guzo	0
193.	AMINIKA WH 509	0
676.	M-82	0
562.	Paz	0
655.	Moro	0
512.	Emerald	0
348.	PAN 4M-19	0
126.	Chelalang	0
581.	FHIA17	0
385.	Ambition	0
623.	KME3	0
383.	KAT N26 (Nylon)	0
436.	Voyager	0
389.	Asante	0
236.	KH600-15A	0
614.	Siri	0
374.	WH505	0
608.	5543/156	0
365.	Twiga 81	0
687.	Ultravetis	0
612.	Shibe	0
543.	FHIA 01-Gold finger	0
459.	Kajani	0
137.	KK RED BEAN-16	0
547.	FHIA17	0
713.	SS4	0
508.	Koko (JKUAT)	0
355.	Punda Milia 529 (SC529)	0
532.	Wurtz	0
424.	Rumba	0
240.	Kishindo DLH458	0
648.	Atauflo	0
224.	Hodari (MH 501)	0
221.	H6506	0
329.	KH500-52A	0
377.	WH605	0
202.	DKC90-89	0
414.	Manitou	0
457.	KAT 60/8	0
519.	Joy F1	0
472.	KAT/PRO I	0
322.	KDV6	0
125.	Kabete Super	0
194.	Bazooka	0
120.	Kenya early	0
351.	PAN 7M-81	0
683.	Danny F1	0
307.	H522	0
725.	Georgia	0
188.	AMINIKA WH 403	0
215.	H6213	0
494.	Sweet Sorg 21	0
602.	Uganda Green	1
406.	Kenya mpya	0
391.	Caruso	0
484.	KSBH-02	0
253.	PAN 4M-21	0
729.	Gloria	0
184.	Thousand Headed	0
233.	KH500-49A	0
343.	P3812W (3812W)	0
615.	Nzalauka	0
595.	Nusu-Ngombe	0
520.	Faulu	0
212.	H522	0
466.	2Kx17	0
640.	Ngowe mango	0
617.	Karembo	0
262.	SC Punda Milia 53 (SC513)	0
252.	PAN 4M-19	0
110.	Kat X56	0
618.	Siri	0
283.	AMINIKA WH 401	0
357.	Sawa	0
577.	FHIA 01-Gold finger	0
333.	KH600-20A	0
293.	DH101	0
422.	Rodeo	0
321.	KDV4	0
400.	Evora	0
482.	Hybrid Mtama 1-SH-01	0
568.	Uganda Green	0
366.	Twiga 83	0
597.	Poyo	0
148.	KKRIL05/CAL33	0
277.	WH504	0
665.	Vega F1	0
704.	TRFK 597/1	0
677.	Star 9065F1	0
510.	Nyati F1	0
185.	Collard	0
421.	Purple gold	0
360.	Sungura 301 (SC301)	0
269.	Twiga 81	0
301.	H512	0
679.	Mituki	0
668.	Red royale F1	0
372.	WH403	0
533.	Mulama	0
625.	MM95/0183	0
667.	Mountain	0
222.	H9401	0
492.	Sweet Sorg 14	0
620.	Karibuni	0
128.	Cianku	0
551.	GT Kisii apple banana	0
529.	Lamb Hass	0
122.	Super Rose Coco	0
560.	Ngombe	0
434.	Toluca	0
606.	Kaleso	0
108.	Kat/Bean 2	0
183.	Mfalme F1	0
571.	Williams	0
696.	Milele	0
198.	DH101	0
500.	Onyx F1	0
324.	KH500-22A	0
161.	EUFM 502	0
605.	Williams	0
239.	KH600-23A	0
420.	Panamera	0
582.	Giant Cavendish	1
114.	KK 8 (SCAM-80/15	0
556.	Mbolokama	0
318.	HARAKA (WH 101)	0
195.	DH 02	0
589.	Manyatta	0
379.	KAT 00301 (Ndengu Tosha)	0
403.	Kenya baraka	0
709.	KTRI 895/7	0
707.	KTRI 914/28	0
489.	KM 32 -1	0
456.	Egerton Mbaazi M1	0
504.	Tyuka F1	0
238.	KH600-20A	0
635.	AF0904	0
352.	PH1 (Pwani Hybrid)	0
603.	Uganda Green	0
506.	Bravo F1)	0
327.	KH500-43A	0
134.	MN6 (Kenya Cheupe)	0
450.	KARI Mbaazi 2	0
460.	Mbaazi 4	0
135.	MN9 (Kenya Maua)	0
499.	Carl J	0
557.	muraru	0
187.	AMINIKA WH 401	0
410.	Kuroda	0
515.	Shujaa F1	0
138.	KAD 02 (Nyota)	0
464.	Seredo	0
638.	HA-211 / Intercott 211	0
173.	KNE 629	0
319.	Hodari (MH 501)	0
517.	Monset F1	0
344.	PAN 14	0
528.	Hass	0
697.	Kale keeper	0
123.	Kenya Wonder	0
115.	KK 15 (MLB 49/879)	0
362.	Tembo 73 (SC719)	0
179.	OKHALE-1	0
285.	AMINIKA WH 504	0
715.	Tumbili	0
256.	PH1 (Pwani Hybrid)	0
441.	6B170	0
177.	Nakuru 1	0
496.	EUSS 10	0
705.	TRFK 704/2	0
213.	H614D	0
542.	Exera	0
675.	Cal-J	0
342.	P3506W (3506W)	0
276.	WH403	0
552.	Kampala	0
162.	EUFM 503	0
169.	KAK-Wimbi 2	0
294.	DK777	0
523.	Sugar baby	0
311.	H6218	0
380.	KAT 00309 (Ndengu Karembo)	0
592.	Mysore	0
716.	Tumbili	0
204.	Duma 43 (SC 43)	0
196.	DH04	0
524.	Charleston grey	0
368.	WE2107	0
681.	Mituki	0
660.	Mandarin	0
359.	Simba 61 (SC627)	0
376.	WH509	0
279.	WH507	0
708.	KTRI 914/39	0
689.	Tausi	0
731.	Best Africa	0
546.	FHIA 23	0
601.	Sukari	0
431.	Sifra	0
280.	WH509	0
211.	H520	0
373.	WH504	0
732.	Ford Hook Giant	0
588.	Kiganda	0
223.	HARAKA (WH 101)	0
649.	Valencia pride	0
518.	Prostar F1	0
714.	Tumbili	0
591.	muraru	0
530.	Shepard	0
630.	MM98/0291	0
525.	Pato F1	0
255.	PAN 7M-81	0
652.	Vandyke	0
171.	KAK-Wimbi 4	0
101.	Mwitemania (GLP 92)	0
451.	Katumani 60/8	0
180.	SDFM 1702	0
300.	EVAZEA (WE1101)	0
163.	GBK 043254	0
219.	H628	0
621.	Karembo	0
363.	Tosheka (MH-401)	0
700.	Crotolaria	0
670.	Money Maker	0
507.	Mavuno F1	0
100.	Local variety	32
153.	MTW 610	0
733.	Pruktor F1	0
671.	Rio Grande	0
461.	KAT 554	0
265.	SY594	0
298.	DUMA 419	0
486.	KS-sorg2	0
399.	El-mundo	0
544.	FHIA 19	0
371.	WH401	0
208.	H516	0
130.	KAT-RM01 (KATRAM)	0
522.	Early scarlet F1	0
417.	Milva	0
143.	KAT-SW-13	0
270.	Twiga 83	0
467.	IS76	0
477.	KARI16 Mtama 2	0
658.	Scarlet navel	0
624.	KME4	0
102.	Rosecoco (GLP2)	0
289.	Bazooka	0
345.	PAN 15	0
462.	KAT 557	0
590.	Mbolokama	0
663.	Clementine	0
335.	Kishindo DLH458	0
145.	KCB13-09	0
146.	KCB13-11	0
245.	P30G19	0
503.	Anna F1	0
541.	Dwarf Cavendish	0
448.	(Kat/Mbaazi 2)	0
516.	Caltana F1	0
282.	ADV 2308W	0
136.	KK ROSECOCO- 194	0
397.	Destiny	0
150.	Randa	0
718.	Julie F1	0
244.	P2809W (2809W)	0
722.	Syova	0
149.	KCB13-04	0
242.	MILIMA WH 605	0
569.	Uganda Green	0
309.	H6210	0
405.	Kenya mavuno	0
210.	H519	0
651.	Valencia	0
664.	Solo	0
167.	KACIMMI 65	0
633.	KSA 81 M	1
235.	KH600-11D	0
214.	H6210	0
284.	AMINIKA WH 403	0
452.	Kat/Mbaazi 3	0
425.	Rudolph	0
390.	Carolus	0
735.	Baraka F1	0
488.	EUSH 1 Hybrid	0
142.	KAT-SW-12	0
112.	KK 22 (RWR 719)	0
578.	FHIA 19	0
409.	Konjo	0
257.	PH4	0
247.	P3506W (3506W)	0
426.	Sagitta	0
243.	Mituki (KDH 3)	0
432.	Taurus	0
107.	GLP-X 1127 New Mwezi Moja	0
132.	MN1( Rosecoco Madini)	0
388.	Arnova	0
117.	Wairimu Dwarf	0
306.	H520	0
176.	MSU FM 60D	0
109.	Kat X 16	0
641.	Apple mango	1
354.	PHB30G19 (30G19)	0
550.	Gross Michel	0
228.	KH125-01-SG (MALAIKA 125)	0
659.	Hamlin	0
340.	P30G19	0
576.	Exera	0
483.	KSBH-01	0
189.	AMINIKA WH 504	0
288.	AMINIKA WH 509	0
387.	Arizona	0
200.	DK8031	0
225.	KDV1	0
395.	Derby	0
119.	Miezi Mbili	0
218.	H625	0
721.	Dominator F1 Hybrid	0
415.	Markies	0
275.	WH401	0
468.	IS8595	0
514.	M82	0
513.	Money Maker	0
396.	Desiree	0
296.	DKC8033	0
147.	KKRIL05/RED13	0
619.	Nzalauka	0
139.	KMR 11 (Angaza)	0
593.	Ngombe	0
442.	1G70	0
559.	Ngombe	0
487.	SC Smile	0
394.	Connect	0
295.	DK8031	0
427.	Sarpo mira	0
205.	EVAZEA (WE1101)	0
490.	E97	0
480.	KARIA-SH2	0
639.	Kent	0
401.	Faluka	0
682.	Bawito F1	0
567.	Sukari	0
308.	H614D	0
600.	Soth	0
248.	P3812W (3812W)	0
703.	KTRI 895/17	0
594.	Ngombe	0
157.	Zebra	0
672.	Marglobe	0
691.	Sugarloaf	0
220.	H629	0
349.	PAN 4M-21	0
444.	3C48	0
314.	H628	0
574.	Chinese Cavendish	0
263.	Simba 61 (SC627)	0
443.	3C22	0
474.	E1291	0
699.	Salgaa	0
151.	M66	0
174.	KNE 741	0
622.	KME2	0
702.	Batian	0
481.	Kibuyu	0
650.	Keitt	0
156.	KVU 419	0
438.	Zafira	0
561.	Nusu-Ngombe	0
364.	TSAVO WE 4141	0
536.	Pinkerton	0
545.	FHIA 23	0
439.	3H17	0
299.	Duma 43 (SC 43)	0
476.	Sila	0
538.	local variety	1
159.	P-224	0
493.	Sweet Sorg 17	0
446.	Kat 777	0
734.	Waltham	0
341.	P3253	0
531.	Reed	0
669.	Sinta F1	0
273.	WE3106	0
642.	Dodo	1
338.	Mituki (KDH 3)	0
537.	Sharwil	0
430.	Sherekea	0
626.	Cassava variety Katsuhanzala (990132)	0
549.	Grand Nain	0
127.	Tasha	0
234.	KH500-52A	0
160.	EUFM 401	0
181.	U-15 (MARIDADI)	0
168.	KAK-Wimbi 1	0
584.	Gross Michel	0
548.	Giant Cavendish	0
402.	Jelly	0
555.	Manyatta	0
511.	Pesa F1	0
152.	MTW 63	0
320.	KDV1	0
116.	Kat-Bean 9	0
644.	Tommy Atkins	0
535.	Carmen	0
631.	MM96/7151	0
661.	Tangerine	2
310.	H6213	0
302.	H513	0
291.	DH04	0
337.	MILIMA WH 605	0
558.	Mysore	0
564.	Prata	0
463.	Serena	0
723.	Tunda F1	0
662.	Satsuma	0
398.	Dutch robijn	0
521.	Sukari F1	0
106.	GLP-585 Red haricot	0
386.	Annet	0
258.	PHB30G19 (30G19)	0
278.	WH505	0
479.	Kaburu	0
586.	Kampala	0
334.	KH600-23A	0
491.	Sweet Sorg 4	0
197.	DH08	0
502.	Kilele F1	0
105.	GLP-92 Pinto bean	0
465.	BJ28	0
175.	Maseno 60D	0
199.	DK777	0
553.	Kifutu	0
604.	Valery	0
455.	Karai	0
565.	Sialamuli	0
165.	KACIMMI 42	0
711.	Bareto F1	0
527.	Golden Midget	0
726.	Green bell F1	0
381.	KAT 00308 (Ndengu Biashara)	0
178.	Nakuru/FMI	0
694.	Safari	0
627.	Katune (990005)	0
281.	WH605	0
266.	Tembo 73 (SC719)	0
566.	Soth	0
133.	MN3 (Kenya Almasi)	0
111.	Kat X 69	0
611.	MUCERICERI	0
155.	KVU27-1	0
166.	KACIMMI 49	0
260.	Punda Milia 53 (513)	0
113.	Kat/Bean 1 (Katheka)	0
141.	KMR13 (Faida)	0
609.	KME 1	0
140.	KMR 12 (Metameta)	0
475.	E6518	0
724.	Sabasaba	0
433.	Tigoni	0
637.	06K485	0
249.	PAN 14	0
469.	Gadam	0
423.	Royal	0
313.	H625	0
727.	Detroit Dark Red	0
241.	KSTDV01	0
473.	Kari Mtama 1	0
471.	IS8193	0
328.	KH500-49A	0
274.	WE4141	0
418.	Musica	0
645.	Francis	0
526.	Sweet beauty	0
440.	1HD1	0
684.	Collards	0
657.	Tarocco	0
286.	AMINIKA WH 505	0
186.	ADV 2308W	0
629.	MM96/4271	0
730.	Nylon	0
634.	AF0903	0
719.	Sweety F1	0
172.	Kat/FM I	0
158.	Kitui black eye	0
190.	AMINIKA WH 505	0
690.	Sukuma siku/Malkia	0
393.	Chulu	0
121.	Kenya Red Kidney (Nyayo)	0
435.	Unica	0
104.	Canadian Wonder (GLP-24)	0
336.	KSTDV01	0
226.	KDV4	0
203.	DUMA 419	0
610.	KME 61	0
575.	Dwarf Cavendish	0
678.	Roma Vf	0
505.	Chonto F1	0
164.	I.E. 4115	0
613.	Tajirika	0
347.	PAN 3M-05	0
290.	DH 02	0
154.	K80	0
712.	Migyeera	0
272.	WE2107	0
598.	Prata	0
498.	Rio Grande	0
232.	KH500-43A	0
653.	Washington navel	0
305.	H519	0
404.	Kenya karibu	0
124.	Kenya Sugar Bean	0
339.	P2809W (2809W)	0
271.	WE1101	0
449.	KARI Mbaazi 1	0
264.	Sungura 301 (SC301)	0
103.	Mwezi Moja (GLP1004)	0
297.	DKC90-89	0
674.	Elgon Ndume	0
382.	Ks20 (Uncle)	0
628.	MM98/3567	0
408.	Kerr’s pink	0
325.	KH500-31A	0
717.	Jubilee F1	0
316.	H6506	0
118.	New Rose Coco	0
680.	Mituki	0
131.	EMBEAN14 (MWENDE)	0
201.	DKC8033	0
209.	H517	0
673.	Marmande	0
539.	Apple	0
251.	PAN 3M-05	0
250.	PAN 15	0
230.	KH500-31A	0
317.	H9401	0
685.	Mfalme F1	0
579.	FHIA 23	0
370.	WE4141	0
407.	Kenya sifa	0
332.	KH600-16A	0
416.	Mayan gold	0
326.	KH500-39E	0
330.	KH600-11D	0
331.	KH600-15A	0
323.	KH125-01-SG (MALAIKA 125)	0
666.	Sunrise	0
411.	Lady amarilla	0
643.	Boribo	0
647.	Madame francique	0
599.	Sialamuli	0
698.	Saruch	0
437.	Wanjiku	0
501.	Roma F1	0
144.	KCB 13-02	0
656.	Sanguinelli	0
217.	H624	0
710.	KTRI 914/41	1
587.	Kifutu	0
231.	KH500-39E	0
616.	Karibuni	0
454.	Peacock/ICEAP00850	0
720.	Tiger F1 Hybrid	0
170.	KAK-Wimbi 3	0
447.	ICEAP00040	0
353.	PH4	0
497.	EUSS 11	0
350.	PAN 691	0
540.	Chinese Cavendish	0
419.	Nyota	0
509.	Chika (JKUAT)	0
237.	KH600-16A	0
570.	Valery	0
728.	Red creole	0
129.	Mbigo	0
478.	Legio	0
303.	H516	0
701.	Ruiru F1	0
361.	SY594	0
706.	KTRI 914/11	2
412.	Laura	0
292.	DH08	0
216.	H6218	0
495.	Sweet Sorg 1	0
573.	Apple	0
392.	Challenger	0
268.	TSAVO WE 4141	0
636.	06K486	0
346.	PAN 3M-01	0
453.	ICEA P00068	0
312.	H624	0
583.	Grand Nain	0
246.	P3253	0
304.	H517	0
267.	Tosheka (MH-401)	0
413.	Lenana	0
375.	WH507	0
384.	Acoustic	0
585.	GT Kisii apple banana	0
287.	AMINIKA WH 507	0
695.	Molo seed	0
428.	Saviola	0
534.	Gem	0
458.	Mituki	0
367.	WE1101	0
369.	WE3106	0
358.	SC Punda Milia 53 (SC513)	0
207.	H513	0
206.	H512	0
254.	PAN 691	0
429.	Shangi	0
445.	1 HG	0

Summary Statistics: Mean 246.2727272727273; StDev 243.39769004238806; Valid 44.0; Min. 100.0; Max. 710.0

Variable Format: numeric

Notes: UNF:6:oDS92D66Qbl5lIuF5LOfmA==

Crop variety name

f10421826 Location:

Variable Format: character

Notes: UNF:6:/294OR55UA7gezdsdBZNWg==

Q6. Was this crop grown in this parcel an intercrop or pure stand?

f10421826 Location:

Value	Label	Frequency	Text
1.	purestand	28
2.	Intercrop	16

Summary Statistics: Min. 1.0; StDev 0.4866070995624796; Valid 44.0; Max. 2.0; Mean 1.3636363636363638

Variable Format: numeric

Notes: UNF:6:zlCyJbBEJRlIC91RN1WDMw==

Q7. Approximately what proportion of the parcel was planted with this crop?

f10421826 Location:

Summary Statistics: Mean 60.0; Valid 2.0; StDev 56.568542494923804; Min. 20.0; Max. 100.0

Variable Format: numeric

Notes: UNF:6:1KjOzPTUgJmF7dEGbHTyjw==

Area of parcel with the crop in HA

f10421826 Location:

Summary Statistics: StDev 0.13559832915629708; Min. 4.046856483910233E-4; Valid 44.0; Max. 0.5766770243644714; Mean 0.12104883547065337

Variable Format: numeric

Notes: UNF:6:quSb6F1LBAAtWmdOcjwyJw==

Q3. What is the main use of this${cropname_12m} on this ${parcel_cultivated_12

f10421826 Location:

Value	Label	Frequency
3.	Food - Fruits	24
5.	Medicinal	0
1.	Fuel	0
6.	Fodder	7
4.	Food-Leaves/canes	10
88.	Other use	1
2.	Timber	2

Summary Statistics: Valid 44.0; Mean 5.590909090909089; Max. 88.0; Min. 2.0; StDev 12.763170455829796;

Variable Format: numeric

Notes: UNF:6:aIEXiS5yZIhVqS7NxzhqLg==

Q4. How many ${cropname_12m} have you planted on ${parcel_cultivated_12m} parc

f10421826 Location:

Summary Statistics: StDev 490.2468795449905; Max. 2000.0; Valid 42.0; Min. 0.0; Mean 170.73809523809516

Variable Format: numeric

Notes: UNF:6:2M5mecp1FtW8/T5sA3wNjw==

Q5. How many ${cropname_12m} have you planted on ${parcel_cultivated_12m} parc

f10421826 Location:

Summary Statistics: StDev 490.8924593703458; Mean 188.64000000000007; Min. 0.0; Max. 2000.0; Valid 25.0

Variable Format: numeric

Notes: UNF:6:sezY9e9mWll3coaPd3juhg==

Was this ${cropname_12m} grown in ${parcel_cultivated_12m} parcel between Marc

f10421826 Location:

Value	Label	Frequency	Text
0.	no	29
1.	yes	15

Summary Statistics: Valid 44.0; Mean 0.34090909090909094; StDev 0.4794949774542018; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:hMHzEYLkVSXbNyg3UgPRAw==

Q2. What type of seed was mostly used for this crop?

f10421826 Location:

Value	Label	Frequency	Text
1.	Traditional	32
2.	Improved	12

Summary Statistics: Max. 2.0; Mean 1.2727272727272727; Valid 44.0; Min. 1.0; StDev 0.4505106334669668

Variable Format: numeric

Notes: UNF:6:OUHdGMlVYlxELGfxqpnV/A==

DQ10. Why did you choose to use these seeds for ${cropname_12m} in this${parce

f10421826 Location:

Value	Label	Frequency
88.	Other	0
2.	Improved variety is too expensive	1
5.	Advice from input supplier	0
4.	Advice from extension officer	1
7.	Suitable for this area	9
3.	Preference for traditional variety	3
1.	Unavailability of improved seeds	0
6.	Advice from fellow farmer	1

Summary Statistics: StDev 1.9566735620873066; Valid 15.0; Mean 5.6; Max. 7.0; Min. 2.0

Variable Format: numeric

Notes: UNF:6:wa6FHvRQcc22QSasQcJMXw==

Q3. Did you purchase any of the seeds?

f10421826 Location:

Value	Label	Frequency	Text
0.	no	6
1.	yes	9

Summary Statistics: Valid 15.0; Max. 1.0; Mean 0.6; Min. 0.0; StDev 0.50709255283711

Variable Format: numeric

Notes: UNF:6:HJPBNjMDJ3Wx0Ny5s3j3cA==

D2Q12. What was/were the source(s) of seeds for this ${cropname_12m} in this${

f10421826 Location:

Variable Format: character

Notes: UNF:6:TxNNSKbMWQOFR8kPIpQ1sA==

Seed source: Local market

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	7
0.	no	2

Summary Statistics: Min. 0.0; Mean 0.7777777777777778; Valid 9.0; Max. 1.0; StDev 0.44095855184409843

Variable Format: numeric

Notes: UNF:6:bbm6bcbHqZXeB4kusZBNVA==

Seed source: Social network

f10421826 Location:

Value	Label	Frequency	Text
0.	no	8
1.	yes	1

Summary Statistics: StDev 0.3333333333333333; Min. 0.0; Max. 1.0; Valid 9.0; Mean 0.11111111111111109

Variable Format: numeric

Notes: UNF:6:Xusk0Iy/CCCfe1mlfRGZfQ==

Seed source: Agro-input dealer

f10421826 Location:

Value	Label	Frequency	Text
0.	no	9
1.	yes	0

Summary Statistics: Valid 9.0; Mean 0.0; Max. 0.0; StDev 0.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:+G8Vo91JaLSn1jLZ6yb3pg==

Seed source: Community seed bank

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	1
0.	no	8

Summary Statistics: StDev 0.3333333333333333; Min. 0.0; Mean 0.11111111111111108; Max. 1.0; Valid 9.0

Variable Format: numeric

Notes: UNF:6:DOiZHynu0ZbkHaSGBoz3xA==

Seed source: County government

f10421826 Location:

Value	Label	Frequency	Text
0.	no	9
1.	yes	0

Summary Statistics: Max. 0.0; Mean 0.0; Valid 9.0; StDev 0.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:+G8Vo91JaLSn1jLZ6yb3pg==

Seed source: NGO

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	0
0.	no	9

Summary Statistics: StDev 0.0; Min. 0.0; Valid 9.0; Mean 0.0; Max. 0.0;

Variable Format: numeric

Notes: UNF:6:+G8Vo91JaLSn1jLZ6yb3pg==

Seed source: KCSAP/Ministry of Agriculture

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	0
0.	no	9

Summary Statistics: Valid 9.0; Mean 0.0; Max. 0.0; Min. 0.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:+G8Vo91JaLSn1jLZ6yb3pg==

How much seed used were purchased? (Kg)

f10421826 Location:

Summary Statistics: Min. 0.0010000000474974513; Valid 7.0; Mean 0.056428575256307206; StDev 0.12962878283544071; Max. 0.3500000238418579

Variable Format: numeric

Notes: UNF:6:5jx1q4Du2/LyU7VAL2QIqw==

Q4. What was the value of all of the seeds that you purchased (KES)?

f10421826 Location:

Summary Statistics: Min. 10.0; Max. 3500.0; Mean 862.7777777777778; Valid 9.0; StDev 1142.2650499969104

Variable Format: numeric

Notes: UNF:6:4BAbvVkWtRIhCLQAeDRDPA==

q16. Did you receeive any seeds for free?

f10421826 Location:

Value	Label	Frequency	Text
1.	yes	5
0.	no	10

Summary Statistics: StDev 0.48795003647426666; Min. 0.0; Max. 1.0; Mean 0.33333333333333337; Valid 15.0;

Variable Format: numeric

Notes: UNF:6:koebR8lwJ6YIydNB+SQaFA==

Quantity of seeds received for free (Kg)

f10421826 Location:

Summary Statistics: StDev 89.19474102096558; Min. 0.0010000000474974513; Max. 200.0; Mean 40.4506000000285; Valid 5.0

Variable Format: numeric

Notes: UNF:6:147lYAVdICTs3N2OnkBKhQ==

Q19. From whom did you obtain free seeds?

f10421826 Location:

Value	Label	Frequency
6.	KCSAP/Ministry of Agriculture	1
3.	Agricultural cooperative	0
1.	Relatives	0
5.	County government	0
4.	NGO	0
2.	Friend/neighbor/fellow farmer	4

Summary Statistics: StDev 1.7888543819998317; Max. 6.0; Min. 2.0; Mean 2.8; Valid 5.0

Variable Format: numeric

Notes: UNF:6:urB5PPOnS0pUYy7POfVSyQ==

Q20. Was any of the seeds used in this parcel a leftover from the previous seaso

f10421826 Location:

Value	Label	Frequency	Text
0.	no	15
1.	yes	0

Summary Statistics: Max. 0.0; StDev 0.0; Mean 0.0; Min. 0.0; Valid 15.0;

Variable Format: numeric

Notes: UNF:6:SqSxjB8AtJzhI1hH0lECVg==

Left over seed quantity (Kg)

f10421826 Location:

Summary Statistics: StDev NaN; Max. NaN; Valid 0.0; Mean NaN; Min. NaN

Variable Format: numeric

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Q25. At what time was seed for this crop available?

f10421826 Location:

Value	Label	Frequency	Text
3.	Towards the end of season	0
2.	At start of the season	0
1.	Before planting season	0

Summary Statistics: Min. NaN; Max. NaN; StDev NaN; Mean NaN; Valid 0.0;

Variable Format: numeric

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Q26. Were the seeds for the crop on this parcel clean

f10421826 Location:

Value	Label	Frequency
2.	Fairly clean (some impurities, no damage)	0
3.	Not clean (some impurities and damage)	0
1.	Clean (no impurities, no damage)	15

Summary Statistics: Max. 1.0; Mean 1.0; Valid 15.0; StDev 0.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:eql7Tp9rYIofXbl4cCbbwg==

D2Q27. How was the germination of the seeds of ${cropname_12m} in this${parcel

f10421826 Location:

Value	Label	Frequency
1.	Good	11
2.	Fair	4
3.	Poor	0

Summary Statistics: Max. 2.0; Min. 1.0; Mean 1.2666666666666666; Valid 15.0; StDev 0.45773770821706344

Variable Format: numeric

Notes: UNF:6:l4Nv/6em7LgC7vbtYwdejw==

D2Q28. Have you lost seeds for this ${cropname_12m} in this${parcel_cultivated

f10421826 Location:

Value	Label	Frequency	Text
0.	no	15
1.	yes	0

Summary Statistics: Mean 0.0; Min. 0.0; Max. 0.0; StDev 0.0; Valid 15.0;

Variable Format: numeric

Notes: UNF:6:SqSxjB8AtJzhI1hH0lECVg==

D2Q29. What was the main reason for lost seeds for ${cropname_12m} in this${pa

f10421826 Location:

Value	Label	Frequency	Text
88.	Other	0
1.	Diseases	0
3.	Drought	0
4.	Excess water	0
5.	Hailstorm	0
6.	Frost	0
2.	Pests	0
7.	Theft	0

Summary Statistics: Valid 0.0; StDev NaN; Mean NaN; Min. NaN; Max. NaN;

Variable Format: numeric

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Q7. Did you use Organic Fertilizer on this crop in this parcel?

f10421826 Location:

Value	Label	Frequency	Text
0.	no	30
1.	yes	14

Summary Statistics: Max. 1.0; Mean 0.31818181818181823; StDev 0.4711552981879444; Valid 44.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:sdmPhnWATB93q/A94EsigA==

Q8. What type of Organic Fertilizer did you use on this crop?

f10421826 Location:

Value	Label	Frequency
1.	Peat	0
2.	Animal waste	13
3.	Plant waste	0
4.	A combination	1

Summary Statistics: StDev 0.5345224838248487; Min. 2.0; Valid 14.0; Mean 2.142857142857143; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:5KWJKTw9AJMSjNHfVJ7MOA==

How much Organic Fertilizer did you use on this crop? (Kg)

f10421826 Location:

Summary Statistics: Valid 14.0; Min. 11.369047164916992; StDev 70.07168032381793; Mean 133.40165424346924; Max. 227.38095092773438;

Variable Format: numeric

Notes: UNF:6:3FcWRfm9XRpqEeIYWXYCvQ==

10. How much (KES) did you spend in oganic fertilizer used on this crop?

f10421826 Location:

Summary Statistics: Min. 4000.0; Max. 4000.0; Mean 4000.0; StDev 0.0; Valid 1.0;

Variable Format: numeric

Notes: UNF:6:5XM3/9axbE1rc7mT4jgMOg==

Q11. Did you use any inorganic fertilizer on this crop?

f10421826 Location:

Value	Label	Frequency	Text
0.	no	39
1.	yes	5

Summary Statistics: Mean 0.11363636363636362; Max. 1.0; StDev 0.3210382206405505; Valid 44.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:ht5KKiD06iXdzBcL+L6gLA==

Q14. How much did you spend (KES) on inorganic fertilizer used on this crop?

f10421826 Location:

Summary Statistics: Max. 7000.0; Mean 3210.0; Min. 750.0; StDev 2352.232981658067; Valid 5.0;

Variable Format: numeric

Notes: UNF:6:PsLzOB6i3Fgo8bfUe0Gpyw==

Inorganic fertilizer

f10421826 Location:

Value	Label	Frequency
1.	Urea	1
2.	NPK	2
4.	CAN	0
7.	Foliar feeds	0
12.	Lime	0
11.	Super D	0
9.	D.compound	2
10.	S.compound	0
8.	SA	0
6.	Yara and other blended brands	0

Summary Statistics: Mean 4.6; Min. 1.0; Valid 5.0; Max. 9.0; StDev 4.03732584763727

Variable Format: numeric

Notes: UNF:6:CjSwwTwXc2E1pHiiUl+vQg==

Q13. How much inorganic fertilizer did you use on this crop (Kg)?

f10421826 Location:

Summary Statistics: StDev 20.12461179749811; Max. 50.0; Mean 41.0; Min. 5.0; Valid 5.0

Variable Format: numeric

Notes: UNF:6:zHv4r6ZrQ8ywrnMLTB2a+w==

Q15. Did you use any pesticide on this crop?

f10421826 Location:

Value	Label	Frequency	Text
0.	no	43
1.	yes	1

Summary Statistics: StDev 0.15075567228888181; Mean 0.02272727272727274; Max. 1.0; Valid 44.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:mPqJDTC49xm3+vlgxfVnHg==

Q19. How much (KES) did you spend in pesticide used on this crop?

f10421826 Location:

Summary Statistics: Valid 1.0; Min. 350.0; StDev 0.0; Mean 350.0; Max. 350.0;

Variable Format: numeric

Notes: UNF:6:SoFO57uoBbQVkcTNy1/HaQ==

Q17_1. What was first brand of pesticide used on this crop

f10421826 Location:

Value	Label	Frequency
19.	Escort	0
57.	Emthane 45WP	0
5.	DECIS EC 025	0
82.	Bentil 23EC	0
77.	Wetsulfjet 80%WDG	0
25.	Salbun	0
70.	Antracol	0
88.	Oshothane 80WP	0
48.	Zipon	0
34.	OSHOTHION 50EC	0
29.	BOTATOX	0
80.	Blight force	0
10.	OBERON SPEED SC 240	0
2.	CALYPSO SC 480	0
61.	Preshaur	0
94.	BiddiQuat	0
59.	Alphago 100EC	0
79.	Masterkinga	0
84.	D-C-Tron Plus	0
73.	Alfatox	0
49.	Calmag	0
3.	CONFIDOR SL 200	0
67.	Ambar 480SC	0
93.	Ninja plus 5%EC	0
43.	Top Guard 500AC	0
85.	Profen 10.8EC	0
62.	Alphasumu 10EC	0
11.	REDIGO DETER	0
32.	FOLIMAT 500SL	0
17.	ALPHA DEGREE	0
22.	Kingcode elite	0
42.	Duduwil 315E	0
4.	CONFIDOR WG 70	0
45.	Calmapor	0
50.	Tajiri	0
65.	Alphasin EC	0
44.	Crop Wonder Max	0
12.	REQUIEM PRIME	0
20.	Karate	0
8.	MOVENTO OD 15	0
63.	Twiga	0
9.	OBERON SC 240	0
52.	Botran	0
18.	Atom	0
21.	Jackpot	0
51.	Score 250EC	0
31.	ORTAN 970WDG	0
91.	Bestox 100EC	0
66.	Imaxi	0
83.	Dudu Afrikill	0
40.	DIAZOL 60EC	0
58.	Romectin	0
26.	Cyclotron 450EC	0
36.	ASTER EXTRIM 20SL	0
33.	WADUDUKLIN 25EC	0
1.	BELT 480 SC	0
81.	Albaz 10EC	0
39.	Emmaron 30sc	0
74.	Tinga tinga top	0
68.	Sussita 50EC	0
30.	SHOTGUN 20%SP	0
38.	Hallothrin	0
27.	PENTAGON	0
46.	Reaper	0
37.	Animal waste (Rabbit urine)	0
64.	Rodazim 50SC	0
6.	DECIS FORTE EC 100	0
13.	SIVANTO PRIME SL 200	0
28.	PRESENTO	0
16.	ALPHAGUARD	0
69.	Stage 250EW	0
89.	Prosper 440EC	0
15.	VELUM PRIME SC 500	0
7.	GAUCHO FS 350	0
-99.	Don’t know	0
24.	Profile	0
78.	Mancobex	0
60.	Diepest 5ME	0
55.	Vondozeb 75DG	0
47.	Super	0
75.	Beansclean 480SL	0
41.	Golden Leaf	0
14.	TIHAN OD 175	0
71.	Alpha Simba	0
54.	Profecron	0
72.	Restore	0
35.	TIFER 50EC	0
76.	Kenthane 800WP	0
90.	MasterKutu 72Wp	0
56.	Abalone	0
53.	Alphakill	0
23.	Duduthrin	1
92.	Dawacide 25% EC	0
87.	Fedothion 50 EC	0
86.	Zyban	0

Summary Statistics: Min. 23.0; Valid 1.0; StDev 0.0; Max. 23.0; Mean 23.0

Variable Format: numeric

Notes: UNF:6:mrsGDrdEwGFlxe0X6g6v5g==

Q18. How much Pesticide did you use on this crop (Kg)?

f10421826 Location:

Summary Statistics: Min. 0.5; Valid 1.0; Mean 0.5; Max. 0.5; StDev 0.0

Variable Format: numeric

Notes: UNF:6:R0YLSsAYR9cKwXY9YNjJPw==

Q20. Did you use any herbicides on this crop?

f10421826 Location:

Value	Label	Frequency	Text
0.	no	44
1.	yes	0

Summary Statistics: Min. 0.0; StDev 0.0; Max. 0.0; Mean 0.0; Valid 44.0

Variable Format: numeric

Notes: UNF:6:HJg1fz9zVbCJaV/tsrPBpw==

Q23. How much did you spend in Herbicide used on this crop?

f10421826 Location:

Summary Statistics: Valid 0.0; Min. NaN; Mean NaN; StDev NaN; Max. NaN;

Variable Format: numeric

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Q22. How much Herbicide did you use on this crop?

f10421826 Location:

Summary Statistics: Min. NaN; Mean NaN; Max. NaN; StDev NaN; Valid 0.0

Variable Format: numeric

Notes: UNF:6:EVutFPHJ8sAnqE3iGxBwFQ==

Harvest in Kgs

f10421826 Location:

Summary Statistics: Max. 7500.0; Mean 1308.3239392981388; Min. 1.8300000429153442; StDev 1755.0211710003323; Valid 33.0;

Variable Format: numeric

Notes: UNF:6:I/J3a7th0FnY0Bm9u9BHXw==

DQ25. What was the estimated total value (KES) of the ${cropname_12m} crop harv

f10421826 Location:

Summary Statistics: Min. 250.0; Valid 33.0; Mean 24359.090909090908; StDev 52391.53893781636; Max. 300000.0;

Variable Format: numeric

Notes: UNF:6:yu+tdeDmlfybdiuCNVbQVg==

Harvest sold in Kgs

f10421826 Location:

Summary Statistics: StDev 2250.3574898764787; Min. 45.0; Valid 20.0; Mean 1597.1254953384403; Max. 7500.0;

Variable Format: numeric

Notes: UNF:6:3t43phMwbNzwrGPoCdzDkw==

Price per Kg of produce sold

f10421826 Location:

Summary Statistics: Mean 34.872532427310944; Max. 156.83815002441406; StDev 37.369335110561124; Min. 2.812939405441284; Valid 20.0

Variable Format: numeric

Notes: UNF:6:nh8qYXm+KnFYQ8kVD7mX2g==

household identification number

f10421866 Location:

Summary Statistics: StDev 8.718901776640846E7; Min. 9.0; Valid 1857.0; Mean 5.059898957781475E7; Max. 2.65322031E8

Variable Format: numeric

Notes: UNF:6:dG8eZD5feXvFws5NjiCvOQ==

Crop ID

f10421866 Location:

Value	Label	Frequency
138.	Peas green	2
152.	Indigenous vegetables (sagaa, mrenda, managu, amaranth	11
303.	Banana (cooking)	21
131.	Pumpkin	3
399.	Other tree crops	2
119.	Finger millet	6
304.	Banana (ripe)	28
126.	Maize	826
144.	Spinach	1
149.	Tomatoes	7
145.	Sweet potato	9
122.	Groundnut/Peanut	19
118.	Dolicos (Njahi)	1
146.	Pearl millet (Mawele)	2
115.	Cowpea leaves	18
143.	Soybean	6
102.	Bean	520
123.	Kale	2
301.	Avocado	30
323.	Orange/Tangerine	7
320.	Mangoes	33
325.	Pawpaw/Papaya	38
335.	Guavas	3
106.	Butter nuts	2
114.	Cowpea	9
137.	Irish potato	38
135.	Green grams	19
139.	Pigeon pea (mbaazi)	5
332.	Sugarcane	1
324.	Passion Fruit	4
-99.	Don’t know	124
142.	Sorghum/Guinea corn	50
134.	Other pulses, nuts	3
127.	Maize green	5
319.	Lime/Lemon	2

Summary Statistics: Valid 1857.0; StDev 82.49702536461285; Min. -99.0; Mean 122.38826063543344; Max. 399.0;

Variable Format: numeric

Notes: UNF:6:4bmGZM/c9F8eiG84R0WoQA==

E1Q1a. How important is the role of bees in increasing the yield of the ${cropn

f10421866 Location:

Value	Label	Frequency
4.	Important	650
2.	Not important	255
3.	Neutral	158
5.	Very important	607
-99.	Don’t know	149
1.	Not important at all	38

Summary Statistics: Max. 5.0; Min. -99.0; Valid 1857.0; Mean -4.358642972536372; StDev 27.980954342483116

Variable Format: numeric

Notes: UNF:6:l9sEPfLh/jiuVv9oTw6zxQ==

E1Q1a. How important is the role of other insects in increasing the yield of the

f10421866 Location:

Value	Label	Frequency
-99.	Don’t know	218
1.	Not important at all	126
3.	Neutral	175
5.	Very important	408
2.	Not important	376
4.	Important	554

Summary Statistics: Max. 5.0; Valid 1857.0; StDev 33.00954930001453; Mean -8.574582660204628; Min. -99.0

Variable Format: numeric

Notes: UNF:6:GTkIc17UvV5MWcMBVVy1TQ==

household identification number

f10649997 Location:

Summary Statistics: StDev 8.775960664745946E7; Max. 2.65322031E8; Mean 5.084653511294523E7; Valid 3453.0; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:b//RdzDXZoUL7U+jKby/2g==

Which type of livestock is owned or raised by the howsehold?

f10649997 Location:

Value	Label	Frequency
1.	Draught cattle	32
9.	Fish	8
6.	Sheep	406
12.	Rabbit	28
2.	Bulls	124
8.	Chicken and other poultry	1176
4.	Horse/donkey/mule	35
11.	Camel	0
3.	Cows, Heifers, Calves	999
7.	Pigs	17
5.	Goats	608
10.	Honey bees	20

Summary Statistics: Min. 1.0; StDev 2.2718530738941825; Max. 12.0; Valid 3453.0; Mean 5.510570518389904;

Variable Format: numeric

Notes: UNF:6:NPJ9RNlpLhJHAOzmDB4wMg==

Q1. How many of this livestock are owned by the household at present?

f10649997 Location:

Summary Statistics: Valid 3266.0; Mean 5.080220453153673; Max. 50.0; StDev 5.404056165955402; Min. 1.0

Variable Format: numeric

Notes: UNF:6:ciBGT4R0Jcj6VswnUDZwpg==

Q2. Did anyone in the household raise any of this livestock in the last 12 month

f10649997 Location:

Value	Label	Frequency	Text
1.	yes	3326
0.	no	127

Summary Statistics: StDev 0.18824753593868634; Max. 1.0; Min. 0.0; Mean 0.9632203880683462; Valid 3453.0

Variable Format: numeric

Notes: UNF:6:P5nEcREzNsLwUDP3mf+jWg==

Q3_1. Who in the household is the primary decicion maker for this livestock?

f10649997 Location:

Value	Label	Frequency
21.	${mem21}	0
4.	${mem4}	19
8.	${mem8}	3
10.	${mem10}	2
22.	${mem22}	0
11.	${mem11}	0
14.	${mem14}	0
19.	${mem19}	0
12.	${mem12}	0
5.	${mem5}	9
2.	${mem2}	870
16.	${mem16}	0
17.	${mem17}	0
3.	${mem3}	34
1.	${mem1}	2372
9.	${mem9}	1
18.	${mem18}	0
15.	${mem15}	0
7.	${mem7}	5
6.	${mem6}	11
13.	${mem13}	0
20.	${mem20}	0

Summary Statistics: StDev 0.7238856379996639; Min. 1.0; Mean 1.3496692723992818; Max. 10.0; Valid 3326.0

Variable Format: numeric

Notes: UNF:6:sv/cJrTWG+1IPNaWEqE7iQ==

Q3_2. Who in the household is the secondary decicion maker for this livestock?

f10649997 Location:

Value	Label	Frequency
19.	${mem19}	0
15.	${mem15}	1
4.	${mem4}	14
3.	${mem3}	58
13.	${mem13}	0
22.	${mem22}	0
16.	${mem16}	0
18.	${mem18}	0
14.	${mem14}	0
12.	${mem12}	1
20.	${mem20}	0
11.	${mem11}	0
8.	${mem8}	0
5.	${mem5}	7
7.	${mem7}	5
6.	${mem6}	10
10.	${mem10}	0
17.	${mem17}	0
9.	${mem9}	0
1.	${mem1}	212
21.	${mem21}	0
2.	${mem2}	782

Summary Statistics: Valid 1090.0; Mean 1.984403669724771; Min. 1.0; StDev 0.9304238705376293; Max. 15.0;

Variable Format: numeric

Notes: UNF:6:DiSkpBcvuuoZBQyu/xaSwg==

Q3_3. Who in the household is the 3rd decicion maker for this livestock?

f10649997 Location:

Value	Label	Frequency
22.	${mem22}	0
17.	${mem17}	0
15.	${mem15}	0
19.	${mem19}	0
5.	${mem5}	8
7.	${mem7}	0
10.	${mem10}	0
12.	${mem12}	0
11.	${mem11}	0
3.	${mem3}	21
9.	${mem9}	0
4.	${mem4}	8
8.	${mem8}	0
2.	${mem2}	3
18.	${mem18}	0
20.	${mem20}	0
1.	${mem1}	5
21.	${mem21}	0
16.	${mem16}	0
6.	${mem6}	1
13.	${mem13}	0
14.	${mem14}	0

Summary Statistics: Max. 6.0; Valid 46.0; Min. 1.0; Mean 3.3043478260869565; StDev 1.2269123887473934;

Variable Format: numeric

Notes: UNF:6:LImpBPstIMT2L/8gp913GQ==

Q3_4. Who in the household is the 4th decicion maker for this livestock?

f10649997 Location:

Value	Label	Frequency
15.	${mem15}	1
20.	${mem20}	0
14.	${mem14}	0
21.	${mem21}	0
16.	${mem16}	0
6.	${mem6}	1
13.	${mem13}	0
1.	${mem1}	0
10.	${mem10}	0
8.	${mem8}	0
11.	${mem11}	0
9.	${mem9}	0
17.	${mem17}	0
2.	${mem2}	0
3.	${mem3}	2
22.	${mem22}	0
18.	${mem18}	0
12.	${mem12}	0
5.	${mem5}	0
4.	${mem4}	1
7.	${mem7}	0
19.	${mem19}	0

Summary Statistics: Min. 3.0; Valid 5.0; Max. 15.0; StDev 5.06951674225463; Mean 6.2;

Variable Format: numeric

Notes: UNF:6:6DYxRtym0MvnQe+w1WbL2g==

Q5_1. How many days did the first decision maker work on this livestock in last

f10649997 Location:

Summary Statistics: StDev 132.3363137836158; Min. 0.0; Mean 222.13168971737866; Max. 364.0; Valid 3326.0;

Variable Format: numeric

Notes: UNF:6:8nME5VVg8XJ4OrZUBQwQJA==

Q6_1. Average hours per day the primary decision maker work on this livestock in

f10649997 Location:

Summary Statistics: Mean 2.1761046514426132; Max. 12.0; Valid 3326.0; Min. 0.0; StDev 2.0797488872244063

Variable Format: numeric

Notes: UNF:6:NT8UL0s436ldqvp4ES9LuQ==

Q5_2. How many days did the 2nd decision maker work on this livestock in last 12

f10649997 Location:

Summary Statistics: Mean 182.5724770642203; Max. 364.0; Valid 1090.0; StDev 128.09487980279042; Min. 0.0

Variable Format: numeric

Notes: UNF:6:fu5aWWhBOP6VsT8Ww/SXQQ==

Q6_2. Average hours per day the 2nd decision maker work on this livestock in las

f10649997 Location:

Summary Statistics: Valid 1090.0; Max. 12.0; StDev 2.0983276468188263; Min. 0.0; Mean 2.266055045871565;

Variable Format: numeric

Notes: UNF:6:NLgRLgCPxxQxlrD7w+KWLw==

Q5_3. How many days did the 3rd decision maker work on this livestock in last 12

f10649997 Location:

Summary Statistics: StDev 125.95983563516076; Min. 0.0; Mean 137.82608695652175; Max. 360.0; Valid 46.0

Variable Format: numeric

Notes: UNF:6:IiDQV30tlGdi8zuJ8F9vAg==

Q6_3. Average hours per day the 3rd decision maker work on this livestock in las

f10649997 Location:

Summary Statistics: Max. 10.0; Mean 2.389130434912184; StDev 2.2448190483436634; Valid 46.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:FM7yqo9vAcTy5zP7TVEIkQ==

Q5_3. How many days did the 3rd decision maker work on this livestock in last 12

f10649997 Location:

Summary Statistics: Mean 212.0; Max. 360.0; Min. 30.0; Valid 5.0; StDev 162.3884232326923;

Variable Format: numeric

Notes: UNF:6:9G+HRi8ZaIFc4h2itF1L1Q==

Q6_4. Average hours per day the 4th decision maker work on this livestock in las

f10649997 Location:

Summary Statistics: StDev 3.049590136395381; Max. 8.0; Min. 1.0; Valid 5.0; Mean 3.4

Variable Format: numeric

Notes: UNF:6:p+ZswCztt+4505+eV7pJbw==

Q7. Did any other household member work on this livestock a part from decision m

f10649997 Location:

Value	Label	Frequency	Text
0.	no	1434
1.	yes	1892

Summary Statistics: StDev 0.4953112525276804; Valid 3326.0; Mean 0.568851473241133; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:U6selef1Qr+IEvlZmE2Cuw==

Q8. How many other household members worked on this livestock excluding decision

f10649997 Location:

Summary Statistics: Valid 1892.0; Min. 1.0; Max. 6.0; StDev 1.0040378018170668; Mean 1.9180761099365746

Variable Format: numeric

Notes: UNF:6:Wz26JqPcyIG3hOp+hw0i9A==

Q9. How many days on average did each members work on the livestock?

f10649997 Location:

Summary Statistics: Min. 1.0; StDev 107.54698127578067; Max. 362.0; Valid 1892.0; Mean 125.95930232558142

Variable Format: numeric

Notes: UNF:6:cpoNQ61gbJSzo4qvaIN9Eg==

Q10. How many hrs per day on average did each members work on the livestock?

f10649997 Location:

Summary Statistics: Valid 1892.0; StDev 2.443147453395278; Mean 2.7191784357844813; Max. 16.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:6s6epKP2SgrlWoD2ueDUFg==

Q12. Did you hire any person to work on this livestock?

f10649997 Location:

Value	Label	Frequency	Text
1.	yes	253
0.	no	3073

Summary Statistics: StDev 0.265145703121724; Min. 0.0; Mean 0.07606734816596634; Max. 1.0; Valid 3326.0

Variable Format: numeric

Notes: UNF:6:4R4mxKyDCKtiOWlBKwzAVw==

Q13. How many hired labor worked on the livestock?

f10649997 Location:

Summary Statistics: Min. 1.0; StDev 0.3887656316549937; Max. 5.0; Valid 253.0; Mean 1.0869565217391304

Variable Format: numeric

Notes: UNF:6:p6YqVasWX3jzNlg7CxusVQ==

Q14. How many days on average did each hired worker work on the livestock?

f10649997 Location:

Summary Statistics: StDev 105.41709214540944; Mean 218.7075098814229; Min. 1.0; Max. 340.0; Valid 253.0

Variable Format: numeric

Notes: UNF:6:XKrJzwBEcfBJa/hmTIjgPA==

Q15. How many hrs per day on average did each hired worker work on the livestock

f10649997 Location:

Summary Statistics: Valid 253.0; Max. 12.0; Mean 6.8517786561264815; Min. 0.5; StDev 2.6623415070232497

Variable Format: numeric

Notes: UNF:6:bVpDWFtqPXjEn2jaNH279g==

Q16_c. What was the total cash payment to the hired workers?

f10649997 Location:

Summary Statistics: Min. 0.0; Valid 253.0; Max. 300000.0; StDev 33493.591752092856; Mean 23822.40316205532;

Variable Format: numeric

Notes: UNF:6:NsCcR8F0R12xQizYrzUm0A==

Q16_i. What was the total inkind payment to the hired workers on this livestock?

f10649997 Location:

Summary Statistics: Min. 0.0; Max. 20000.0; StDev 1338.3218837722554; Mean 143.28063241106688; Valid 253.0;

Variable Format: numeric

Notes: UNF:6:gRn61qdSJKvMpk3u0jeOTA==

Q16. Total amount paid for hired workers in this livestock

f10649997 Location:

Summary Statistics: Valid 253.0; Mean 23965.68379446642; StDev 33520.08115488052; Max. 300000.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:PUfGXSKyvlEyjaUPUb5l2w==

Q17. Did other people work as free/exchange labor this livestock?

f10649997 Location:

Value	Label	Frequency	Text
1.	yes	184
0.	no	3142

Summary Statistics: Valid 3326.0; Max. 1.0; Mean 0.05532170775706507; Min. 0.0; StDev 0.22864149681755627

Variable Format: numeric

Notes: UNF:6:4zoO9LlZZJCG193vo7CGBQ==

Q18. How many free labor worked on the livestock?

f10649997 Location:

Summary Statistics: Max. 100.0; Valid 184.0; StDev 7.325978649583322; Min. 1.0; Mean 2.1358695652173916

Variable Format: numeric

Notes: UNF:6:xFeLUhkUT9mfpRHrH9otYQ==

Q19. How many days on average did each free worker work on the livestock?

f10649997 Location:

Summary Statistics: Valid 184.0; Min. 1.0; Mean 125.81521739130433; StDev 116.9704954950005; Max. 360.0

Variable Format: numeric

Notes: UNF:6:TlL7E8tn/2FbDA7XNOqGGw==

Q20. How many hrs per day on average did each free worker work on the livestock?

f10649997 Location:

Summary Statistics: StDev 3.1716504903562392; Valid 184.0; Max. 12.0; Min. 0.0; Mean 4.0271739130434785

Variable Format: numeric

Notes: UNF:6:8JQBfzbh0PWFlSIx4vyG6Q==

Q21 Total out of pocket cost (KES) for raising the livestock in last 12 months

f10649997 Location:

Summary Statistics: StDev 4570.096019030558; Min. 1.0; Valid 2587.0; Max. 36800.0; Mean 2868.7073830691807

Variable Format: numeric

Notes: UNF:6:k8awMWY8ljOg5b7wnDWhyA==

Q22i. Number of livestock sold in the last 12 months

f10649997 Location:

Summary Statistics: Min. 0.0; Mean 11.336139506915334; StDev 359.53274028542916; Max. 20000.0; Valid 3326.0

Variable Format: numeric

Notes: UNF:6:ZaRf1LOjba9quK0Sw+ke+w==

Q22ii. What was the total value (KES) of livestock sold during the last 12 month

f10649997 Location:

Summary Statistics: StDev 24564.626863821537; Max. 300000.0; Min. 300.0; Valid 1437.0; Mean 17467.084203200935;

Variable Format: numeric

Notes: UNF:6:NlZF+NPfIzq3S3tcVCPFbQ==

household identification number

f10421869 Location:

Summary Statistics: Mean 4.5335637176470555E7; StDev 8.330469001589112E7; Max. 2.65322031E8; Min. 2.0; Valid 3315.0

Variable Format: numeric

Notes: UNF:6:d6umpmxt3jfH6rhb+Zyufw==

Which type of livestock is owned or raised by the howsehold?

f10421869 Location:

Value	Label	Frequency
5.	Goats	384
9.	Fish	0
8.	Chicken and other poultry	1343
4.	Horse/donkey/mule	6
10.	Honey bees	14
2.	Bulls	76
11.	Camel	0
12.	Rabbit	6
7.	Pigs	12
3.	Cows, Heifers, Calves	1234
1.	Draught cattle	21
6.	Sheep	219

Summary Statistics: Min. 1.0; Max. 12.0; Mean 5.48205128205127; StDev 2.342805861215127; Valid 3315.0;

Variable Format: numeric

Notes: UNF:6:FYidItBpTFobrRnH9mhf/w==

Did your household obtain any products from this livestocK?

f10421869 Location:

Value	Label	Frequency	Text
0.	no	0
1.	yes	3315

Summary Statistics: StDev 0.0; Max. 1.0; Mean 1.0; Min. 1.0; Valid 3315.0

Variable Format: numeric

Notes: UNF:6:tW8ZC97tbVompNIvjU0q9A==

Livestock product

f10421869 Location:

Value	Label	Frequency
6.	Skins/hides	12
4.	Meat	174
3.	Manure	1585
2.	Honey	14
5.	Milk and other dairy products	685
1.	Eggs	845

Summary Statistics: Max. 6.0; Min. 1.0; StDev 1.3909095430897804; Mean 2.9625942684766655; Valid 3315.0;

Variable Format: numeric

Notes: UNF:6:HthzF3Bblj7HT9NVyoeNrw==

Q19_2q. What was the total quantity of this product obtained from this livestock

f10421869 Location:

Summary Statistics: Min. 0.0; Max. 126000.0; Mean 638.1832032712185; Valid 1530.0; StDev 4263.298508492156

Variable Format: numeric

Notes: UNF:6:yyEadLHHfa094BcGtuInMg==

Q19_2u. What was the unit of measurement of the product?

f10421869 Location:

Value	Label	Frequency
28.	Tray	259
19.	Canter	0
3.	Millilitres	5
5.	Gorogoro	0
18.	Pick-up	0
13.	Bunch	0
21.	Cup	0
7.	10kg bucket	0
30.	2kg packet	0
11.	50kg bag	0
1.	Grams	0
17.	Wheelbarrow	0
16.	Crate	0
10.	25kg bag	0
29.	Units	0
14.	Heap/bale	0
27.	No/Piece	579
6.	Debe	0
9.	10kg bag	0
22.	Cart	0
4.	Litres	667
8.	20kg bucket	0
25.	1KG Tin	0
12.	90kg bag	0
2.	Kilograms	7

Summary Statistics: Valid 1517.0; Max. 28.0; Mean 16.86354647330259; StDev 11.614088038939585; Min. 2.0

Variable Format: numeric

Notes: UNF:6:oGgTvbOz7Ott3NzjjL+LPA==

Product in Kg

f10421869 Location:

Summary Statistics: Min. 0.020999999716877937; StDev 784.1938150846921; Max. 7800.0; Valid 1517.0; Mean 328.0805609823488

Variable Format: numeric

Notes: UNF:6:x9zqeuvrvK5KM3uTgj8X0w==

Q19_3q. What quantity of the obtained product was sold?

f10421869 Location:

Summary Statistics: Valid 3315.0; Mean 129.19477073952154; Max. 84000.0; StDev 1784.709554364983; Min. 0.0

Variable Format: numeric

Notes: UNF:6:oLhkzvrL7cvh42h9ADkBbg==

Name of sale unit

f10421869 Location:

Value	Label	Frequency
11.	50kg bag	2
28.	Tray	77
9.	10kg bag	0
3.	Millilitres	4
29.	Units	0
16.	Crate	0
10.	25kg bag	0
12.	90kg bag	3
8.	20kg bucket	2
27.	No/Piece	108
19.	Canter	2
18.	Pick-up	2
25.	1KG Tin	0
7.	10kg bucket	0
4.	Litres	285
22.	Cart	1
1.	Grams	0
13.	Bunch	0
21.	Cup	0
6.	Debe	0
14.	Heap/bale	0
30.	2kg packet	0
5.	Gorogoro	7
17.	Wheelbarrow	72
2.	Kilograms	24

Summary Statistics: StDev 10.654014052472515; Valid 589.0; Mean 13.074702886247852; Min. 2.0; Max. 28.0

Variable Format: numeric

Notes: UNF:6:3MptkJYlMsai4GrhwoxUxg==

How many Kgs is one full ${productunitsale_name} of ${productname}

f10421869 Location:

Summary Statistics: Valid 12.0; StDev 1151.604900179495; Max. 4000.0; Min. 0.0; Mean 417.52083333333337;

Variable Format: numeric

Notes: UNF:6:ElHs5lVc2F79sSNeEMU6hw==

Product sold in KG

f10421869 Location:

Summary Statistics: StDev 870.3219522119467; Mean 472.2173938490392; Max. 5760.0; Valid 589.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:WRVCE4iJmfYaC8YYF0guAQ==

Q21. What was the total value (KES) of sales of the product?

f10421869 Location:

Summary Statistics: Min. 1.0; Max. 288000.0; Valid 589.0; StDev 36967.42212996829; Mean 18798.042444821687

Variable Format: numeric

Notes: UNF:6:S+kePddpyVJM05WTyrRx0g==

household identification number

f10421855 Location:

Summary Statistics: Min. 2.0; Max. 2.65322031E8; Valid 3890.0; StDev 7.96545784650103E7; Mean 4.175363431773886E7

Variable Format: numeric

Notes: UNF:6:pSSJAHT790d0dJ9jpOb0Yw==

Nature Positive Solution ID

f10421855 Location:

Value	Label	Frequency
17.	Participation in diversity parks	1
6.	Participation in seed guardian organization	7
24.	Manure fertilizer	842
16.	Intercropping / crop rotation schemes	978
2.	Growing local landraces of trees (e.g. mango varieties)	261
11.	Participation in diversity fairs for trees (Share seedlings or reproductive material (In india this is a common term)	2
5.	Protecting or assisting natural regeneration	24
1.	Conservation, revival and cultivation of local varieties of crop	115
21.	Producing seed or seedlings of native trees or landraces	19
33.	Application of agroecology principles to improve soil fertility & plant health management	22
9.	Utilization of wild endemic herbs/ leafy nutritious vegetables	22
23.	Preparation of bunds, terraces and trenches to reduce water run off and erosion and facilitate seepage	402
39.	Treated wastewater for irrigation	1
32.	Silage Production	6
34.	Hedgerows and contours to control erosion	95
29.	Ponds to conserve water	16
31.	Animal feed production	31
22.	Selling or exchanging seed or seedlings of native trees or landraces	4
19.	Preservation of indigenous livestock	54
37.	Zero or minimum tillage	76
4.	Growing native trees for other than production purposes only	447
7.	Participation in seed fairs	16
13.	Participatory Plant Breeding (PPB) from native or locally adapted species	3
27.	Biogas production	4
12.	Participatory Varietal Selection (PVS) from native or locally adapted species (to select most preferred variety based on flavor, yield etc.)	1
35.	Buffer strips around rivers or streams	9
10.	Participation in organization for the preservation of tree agrobiodiversity	40
14.	Participatory Breeding (PB) of indigenous livestock	5
28.	Briquette fuel production	2
20.	Community seed banks	23
25.	Compost production	104
36.	Cover crops	258

Summary Statistics: Min. 1.0; Max. 39.0; StDev 10.152153664510267; Mean 18.33496143958869; Valid 3890.0;

Variable Format: numeric

Notes: UNF:6:+pFX0IANis2tROJL0C3Vfg==

How many household members received information on ${npsname}?

f10421855 Location:

Summary Statistics: Valid 3890.0; StDev 0.5476041531219046; Min. -2.0; Mean 1.3796915167095118; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:NKlqbbeS8hXnpMlrInbFmA==

First receiver of NPS information

f10421855 Location:

Value	Label	Frequency
6.	${mem6}	8
7.	${mem7}	2
1.	${mem1}	2998
18.	${mem18}	0
21.	${mem21}	0
4.	${mem4}	10
19.	${mem19}	0
2.	${mem2}	817
9.	${mem9}	1
20.	${mem20}	0
17.	${mem17}	0
5.	${mem5}	6
10.	${mem10}	1
12.	${mem12}	0
8.	${mem8}	0
22.	${mem22}	0
3.	${mem3}	46
11.	${mem11}	1
13.	${mem13}	0
14.	${mem14}	0
16.	${mem16}	0
15.	${mem15}	0

Summary Statistics: StDev 0.6053000018008294; Mean 1.2678663239074548; Max. 11.0; Valid 3890.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:CUvsi5cbwen3mlHB5d3eKQ==

Second receiver of NPS information

f10421855 Location:

Value	Label	Frequency
21.	${mem21}	0
6.	${mem6}	8
16.	${mem16}	0
17.	${mem17}	0
22.	${mem22}	0
8.	${mem8}	2
10.	${mem10}	0
7.	${mem7}	3
18.	${mem18}	0
2.	${mem2}	1059
15.	${mem15}	0
5.	${mem5}	5
13.	${mem13}	0
19.	${mem19}	0
20.	${mem20}	0
9.	${mem9}	0
14.	${mem14}	0
4.	${mem4}	25
11.	${mem11}	0
1.	${mem1}	183
12.	${mem12}	0
3.	${mem3}	80

Summary Statistics: Mean 2.0153846153846153; StDev 0.7074576156319335; Valid 1365.0; Min. 1.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:8F1BO3CivdSZmawoTpJAPg==

Third receiver of NPS information

f10421855 Location:

Value	Label	Frequency
10.	${mem10}	0
3.	${mem3}	60
5.	${mem5}	10
2.	${mem2}	8
17.	${mem17}	0
16.	${mem16}	0
20.	${mem20}	0
7.	${mem7}	1
9.	${mem9}	0
12.	${mem12}	0
15.	${mem15}	0
19.	${mem19}	0
6.	${mem6}	1
21.	${mem21}	0
22.	${mem22}	0
8.	${mem8}	2
4.	${mem4}	29
18.	${mem18}	0
13.	${mem13}	0
11.	${mem11}	0
14.	${mem14}	0
1.	${mem1}	6

Summary Statistics: Max. 8.0; Min. 1.0; Mean 3.393162393162393; StDev 1.1667613956741978; Valid 117.0;

Variable Format: numeric

Notes: UNF:6:kaBPa5gG3QP3javGRzxYMQ==

first decision maker on NPS

f10421855 Location:

Value	Label	Frequency
15.	${mem15}	0
17.	${mem17}	0
14.	${mem14}	0
4.	${mem4}	7
13.	${mem13}	0
8.	${mem8}	0
2.	${mem2}	818
3.	${mem3}	40
1.	${mem1}	3007
12.	${mem12}	1
7.	${mem7}	2
11.	${mem11}	0
19.	${mem19}	0
6.	${mem6}	6
10.	${mem10}	1
20.	${mem20}	0
5.	${mem5}	7
16.	${mem16}	0
18.	${mem18}	0
22.	${mem22}	0
9.	${mem9}	1
21.	${mem21}	0

Summary Statistics: Mean 1.261439588688946; Max. 12.0; Min. 1.0; StDev 0.5946352988799332; Valid 3890.0;

Variable Format: numeric

Notes: UNF:6:zrPR5qQ0/bVWMHMTy5T9Kg==

second decision maker on NPS

f10421855 Location:

Value	Label	Frequency
1.	${mem1}	224
17.	${mem17}	0
14.	${mem14}	0
15.	${mem15}	0
21.	${mem21}	0
16.	${mem16}	0
8.	${mem8}	5
6.	${mem6}	7
11.	${mem11}	4
3.	${mem3}	77
7.	${mem7}	4
20.	${mem20}	0
19.	${mem19}	0
5.	${mem5}	4
13.	${mem13}	0
2.	${mem2}	1148
9.	${mem9}	2
4.	${mem4}	25
22.	${mem22}	0
10.	${mem10}	1
18.	${mem18}	0
12.	${mem12}	0

Summary Statistics: Min. 1.0; Mean 2.0339773484343775; StDev 0.9356876812376548; Valid 1501.0; Max. 11.0;

Variable Format: numeric

Notes: UNF:6:q1tJ+Rwn4AE7ehxVVP90WQ==

third decision maker on NPS

f10421855 Location:

Value	Label	Frequency
2.	${mem2}	6
13.	${mem13}	0
14.	${mem14}	0
12.	${mem12}	3
21.	${mem21}	0
10.	${mem10}	0
4.	${mem4}	25
11.	${mem11}	0
16.	${mem16}	0
18.	${mem18}	0
8.	${mem8}	0
22.	${mem22}	0
15.	${mem15}	0
20.	${mem20}	0
19.	${mem19}	0
1.	${mem1}	3
17.	${mem17}	0
5.	${mem5}	11
7.	${mem7}	1
6.	${mem6}	4
9.	${mem9}	2
3.	${mem3}	53

Summary Statistics: Min. 1.0; Mean 3.833333333333333; StDev 1.8820350886118877; Max. 12.0; Valid 108.0;

Variable Format: numeric

Notes: UNF:6:92d38yAEJhHvQOSxiyMp4A==

GQ4. For how long has your household been using the ${npsname}?

f10421855 Location:

Value	Label	Frequency
1.	Less than 1 year	112
5.	More than 5 years	2677
4.	Between 2 and 5 years	633
2.	About a year or 2	239
3.	Between 1 and 2 years	229

Summary Statistics: Mean 4.420051413881748; Min. 1.0; Valid 3890.0; Max. 5.0; StDev 1.0371891705962781

Variable Format: numeric

Notes: UNF:6:8a05AlwXn2Ee29Hf5MeocQ==

GQ5. From where does your household acquire information (advisory services) abou

f10421855 Location:

Variable Format: character

Notes: UNF:6:0olq+GYDFBwFxAgvRtJIRQ==

NPS source: NGO/Other organizations

f10421855 Location:

Value	Label	Frequency	Text
0.	no	3212
1.	yes	678

Summary Statistics: Mean 0.17429305912596404; Min. 0.0; Valid 3890.0; StDev 0.37941006091108115; Max. 1.0

Variable Format: numeric

Notes: UNF:6:+75of03uylGA/S7TKq1kyA==

NPS source: Public extension agents/ Ministry of Agriculture

f10421855 Location:

Value	Label	Frequency	Text
1.	yes	467
0.	no	3423

Summary Statistics: StDev 0.32506343298410695; Max. 1.0; Valid 3890.0; Mean 0.12005141388174823; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:XPDgupNJV//H7V11qPs7dA==

NPS source: Relatives/Friends/Neighbors

f10421855 Location:

Value	Label	Frequency	Text
1.	yes	2828
0.	no	1062

Summary Statistics: StDev 0.44556204513855197; Mean 0.726992287917737; Min. 0.0; Max. 1.0; Valid 3890.0

Variable Format: numeric

Notes: UNF:6:LK8f08dnK1VM0UZGp/dz/w==

NPS source: Schools or other training events

f10421855 Location:

Value	Label	Frequency	Text
1.	yes	1232
0.	no	2658

Summary Statistics: Min. 0.0; Mean 0.3167095115681234; StDev 0.4652528797942813; Max. 1.0; Valid 3890.0

Variable Format: numeric

Notes: UNF:6:1apyIlC103W7wE6mOYDSFQ==

NPS source: Media and Internet

f10421855 Location:

Value	Label	Frequency	Text
1.	yes	196
0.	no	3694

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.0503856041131109; Valid 3890.0; StDev 0.2187674522113383;

Variable Format: numeric

Notes: UNF:6:Cn26ClptT/eP61/pSWzoBw==

household identification number

f10421857 Location:

Summary Statistics: Min. 2.0; Max. 2.65322031E8; Mean 4.191645211767667E7; Valid 2014.0; StDev 7.686319454600118E7

Variable Format: numeric

Notes: UNF:6:n/8DtGBG5Z5A9fXWTGU2Sg==

HQ1. How old is ${lbname} ? (in completed years).

f10421857 Location:

Summary Statistics: Max. 78.0; StDev 11.048603960323508; Valid 2014.0; Mean 36.402184707050644; Min. 14.0

Variable Format: numeric

Notes: UNF:6:YGDUvnoHJ15S/56aomBWZg==

HQ2. What is the sex of ${lbname} ?

f10421857 Location:

Value	Label	Frequency	Text
1.	Female	950
0.	Male	1064

Summary Statistics: Mean 0.47169811320754795; Max. 1.0; Min. 0.0; StDev 0.49932233881448057; Valid 2014.0;

Variable Format: numeric

Notes: UNF:6:ppUeZ2+ni1diaJLsJ3fJ2A==

HQ3. How many months did ${lbname}'s work on the farm over the last 12 months?

f10421857 Location:

Summary Statistics: Min. 0.0; Max. 12.0; Mean 3.452333664349547; Valid 2014.0; StDev 2.54389424492214

Variable Format: numeric

Notes: UNF:6:7CdmHbfNH2yNBceMsTPCLQ==

HQ4. On average during these months worked, how many weeks per month did ${lbna

f10421857 Location:

Summary Statistics: Min. 0.0; Valid 2014.0; Max. 4.0; StDev 0.9069482235285953; Mean 1.8659384309831173;

Variable Format: numeric

Notes: UNF:6:5Je/l5943VkID9RmIBVFGQ==

HQ5. On average during these weeks worked, how many hours per week did ${lbname

f10421857 Location:

Summary Statistics: Valid 2014.0; StDev 12.307073528705725; Mean 16.321251241310808; Max. 72.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:QffC85QI96xFQWB9seM2yg==

HQ6. For how long has ${lbname}'s been helping you in the farm?

f10421857 Location:

Value	Label	Frequency
1.	Less than 1 year	488
2.	1-5 years	1210
3.	More than 5 years	316

Summary Statistics: StDev 0.6261842527924955; Mean 1.9145978152929488; Max. 3.0; Valid 2014.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:3sEJOvJ1KaNoVsOXpAZJAQ==

HQ7. What type of engagement does ${lbname}'s have?

f10421857 Location:

Value	Label	Frequency
88.	Other specify	0
1.	Parmanent	27
2.	Temporary	47
3.	Casual, informal	1940

Summary Statistics: Max. 3.0; StDev 0.2729163534355962; Mean 2.949851042701093; Min. 1.0; Valid 2014.0

Variable Format: numeric

Notes: UNF:6:CbagZwD6ou57Na3tfMYkew==

HQ8. Where does ${lbname}'s live now

f10421857 Location:

Value	Label	Frequency
2.	Neighbouring village	229
4.	Another sublocation in the same county	17
88.	Other specify	20
5.	Another sublocation in a different county	25
3.	Not neighbouring village in the same sublocation	19
1.	This village	1704

Summary Statistics: Max. 88.0; Min. 1.0; Mean 2.0714995034756543; Valid 2014.0; StDev 8.630106617203156;

Variable Format: numeric

Notes: UNF:6:O1/8v17q4wBBtcVh04Zp0g==

HQ9. Which is the village and address of ${lbname}'s ?

f10421857 Location:

Variable Format: character

Notes: UNF:6:dYbWNgjsyvtzxx2LazaDMA==

household identification number

f10421853 Location:

Summary Statistics: Max. 2.65322031E8; Min. 2.0; StDev 8.63445837161828E7; Mean 4.8653016879494235E7; Valid 9012.0

Variable Format: numeric

Notes: UNF:6:GQp5lvn7jveukh9uL2b57g==

Transfer ID

f10421853 Location:

Value	Label	Frequency
2.	Cash Transfers from organization (e.g. NGO)	1502
1.	Cash Transfers (Friends/Relatives)	1502
6.	Non-Food In-Kind Transfers/Gifts from organization (e.g. NGO)	1502
5.	Non-Food In-Kind Transfers/Gifts from Individuals (Friends/Relatives)	1502
3.	Food Transfers (Friends/Relatives)	1502
4.	Food Transfers from organization (e.g. NGO)	1502

Summary Statistics: Min. 1.0; Mean 3.5; StDev 1.7079198883828612; Valid 9012.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:wVZwhbZ7j3xRd7yV84NEnQ==

IQ1. During the last 12 months, did you or any member of your household receive

f10421853 Location:

Value	Label	Frequency	Text
0.	no	7165
1.	yes	1847

Summary Statistics: Max. 1.0; Mean 0.2049489569463029; Min. 0.0; Valid 9012.0; StDev 0.40368671625223534

Variable Format: numeric

Notes: UNF:6:OY9bUruFvDHdp+be3Rw+OQ==

How many household members were involved in decision making for keeping/using ea

f10421853 Location:

Summary Statistics: Valid 1847.0; Mean 1.2290200324851113; Min. 1.0; StDev 0.43426163425685416; Max. 3.0

Variable Format: numeric

Notes: UNF:6:vNUrqVa+UFA0RkMv384r6g==

Q2_1. Who in the household made primary decicion for keeping /using the earnings

f10421853 Location:

Value	Label	Frequency
13.	${mem13}	0
12.	${mem12}	0
3.	${mem3}	28
10.	${mem10}	0
20.	${mem20}	0
4.	${mem4}	0
17.	${mem17}	0
8.	${mem8}	0
11.	${mem11}	0
22.	${mem22}	0
6.	${mem6}	0
15.	${mem15}	0
21.	${mem21}	0
9.	${mem9}	0
14.	${mem14}	0
5.	${mem5}	2
7.	${mem7}	0
1.	${mem1}	1252
19.	${mem19}	0
2.	${mem2}	565
16.	${mem16}	0
18.	${mem18}	0

Summary Statistics: Max. 5.0; Min. 1.0; Valid 1847.0; StDev 0.5177209812902525; Mean 1.3405522468868432

Variable Format: numeric

Notes: UNF:6:QHIvrvfF5b9ssVoL280+ig==

Q2_2. Who in the household made secondary decicion for keeping /using the earnin

f10421853 Location:

Value	Label	Frequency
2.	${mem2}	316
9.	${mem9}	0
13.	${mem13}	0
15.	${mem15}	0
16.	${mem16}	0
10.	${mem10}	0
4.	${mem4}	8
18.	${mem18}	0
6.	${mem6}	6
14.	${mem14}	0
5.	${mem5}	2
11.	${mem11}	0
20.	${mem20}	0
3.	${mem3}	12
1.	${mem1}	67
21.	${mem21}	0
8.	${mem8}	1
19.	${mem19}	0
7.	${mem7}	0
12.	${mem12}	0
17.	${mem17}	0
22.	${mem22}	0

Summary Statistics: StDev 0.796858423012242; Max. 8.0; Mean 1.9927184466019419; Valid 412.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:7GRWXE0t07b8Po+5Z+TiIg==

Q2_3. Who in the household was 3rd decicion maker for keeping /using the earning

f10421853 Location:

Value	Label	Frequency
14.	${mem14}	0
9.	${mem9}	0
16.	${mem16}	0
10.	${mem10}	0
4.	${mem4}	2
2.	${mem2}	1
3.	${mem3}	7
18.	${mem18}	0
8.	${mem8}	0
1.	${mem1}	1
12.	${mem12}	0
20.	${mem20}	0
6.	${mem6}	0
7.	${mem7}	0
17.	${mem17}	0
22.	${mem22}	0
5.	${mem5}	0
13.	${mem13}	0
19.	${mem19}	0
11.	${mem11}	0
21.	${mem21}	0
15.	${mem15}	0

Summary Statistics: Min. 1.0; Max. 4.0; Mean 2.909090909090909; Valid 11.0; StDev 0.8312094145936336;

Variable Format: numeric

Notes: UNF:6:I10FOwDnNHe3lO86Z6l50g==

Q2_4. Who in the household was 4th decision maker for keeping /using the earning

f10421853 Location:

Value	Label	Frequency	Text
18.	${mem18}	0
14.	${mem14}	0
15.	${mem15}	0
6.	${mem6}	0
2.	${mem2}	0
22.	${mem22}	0
20.	${mem20}	0
4.	${mem4}	0
5.	${mem5}	0
11.	${mem11}	0
8.	${mem8}	0
3.	${mem3}	0
12.	${mem12}	0
17.	${mem17}	0
21.	${mem21}	0
9.	${mem9}	0
13.	${mem13}	0
1.	${mem1}	0
7.	${mem7}	0
10.	${mem10}	0
19.	${mem19}	0
16.	${mem16}	0

Summary Statistics: Max. NaN; StDev NaN; Mean NaN; Min. NaN; Valid 0.0

Variable Format: numeric

Notes: UNF:6:Xem2+JzIAxK8GIDb4fOiyQ==

Q3. How much cash (KES) did you receive from this source in the last 12 months?

f10421853 Location:

Summary Statistics: Mean 11517.976470588232; StDev 13910.095537558987; Min. 2.0; Max. 80000.0; Valid 1020.0;

Variable Format: numeric

Notes: UNF:6:K07TfmPCe6zh2ihFfcK7Rw==

Q4. What would be estimated value of inkind (KES) receive from this source in th

f10421853 Location:

Summary Statistics: Max. 36000.0; Valid 820.0; Min. 1.0; Mean 4328.565853658534; StDev 5474.53923233753

Variable Format: numeric

Notes: UNF:6:A2MfzHIbWCP0lAom8jLFKw==

household identification number

f10421864 Location:

Summary Statistics: Mean 4.8643913754579574E7; Min. 2.0; Valid 19525.0; StDev 8.633484437188712E7; Max. 2.65322031E8

Variable Format: numeric

Notes: UNF:6:NLjy7tJ8dtoqNqcNnS8sxw==

Income ID

f10421864 Location:

Value	Label	Frequency
1.	Dividends, Interest or Other Investment Income	1502
2.	Pension Income (Public or private)	1502
12.	Inheritance (in cash or in kind)	1502
888.	None	0
13.	Lottery/Gambling Winnings	1502
11.	Income from Household Agricultural/Fishing Asset Sales	1502
8.	Income from Car, Truck, Other Vehicle Rental [DO NOT INCLUDE ANY NON-FARM ENTERPRISE INCOME]	1502
10.	Income from Household Non-Agricultural Asset Sales	1502
6.	Income from Apartment, House Rental	1502
9.	Income from Real Estate Sales	1502
7.	Income from Shop, Store Rental	1502
3.	Income from Non-Agricultural Land Rental	1502
4.	Income from Agricultural Land Rental	1500
14.	Income from milk sales(livestock raised by other HH)	1
5.	Income from Livestock Rental	1502

Summary Statistics: StDev 3.7420611270271738; Max. 14.0; Valid 19525.0; Mean 7.000665813060178; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rAM3QoV5uUQXWVng2Cxfig==

Did any household member receive income from this source in the last 12 months?

f10421864 Location:

Value	Label	Frequency	Text
0.	no	19015
1.	yes	510

Summary Statistics: Valid 19525.0; Min. 0.0; Max. 1.0; StDev 0.1594972987213157; Mean 0.026120358514724523

Variable Format: numeric

Notes: UNF:6:aErdTXap9Uc8AiryabWqrg==

Q3_1. Who in the household is the primary decicion maker to spend/save income fr

f10421864 Location:

Value	Label	Frequency
14.	${mem14}	0
16.	${mem16}	0
15.	${mem15}	0
18.	${mem18}	0
19.	${mem19}	0
10.	${mem10}	0
7.	${mem7}	1
8.	${mem8}	0
13.	${mem13}	0
17.	${mem17}	0
20.	${mem20}	0
9.	${mem9}	1
2.	${mem2}	98
22.	${mem22}	0
6.	${mem6}	1
3.	${mem3}	9
12.	${mem12}	0
5.	${mem5}	3
11.	${mem11}	0
4.	${mem4}	3
1.	${mem1}	394
21.	${mem21}	0

Summary Statistics: Max. 9.0; Min. 1.0; StDev 0.7499605136182764; Mean 1.3058823529411765; Valid 510.0

Variable Format: numeric

Notes: UNF:6:LF8YVNLYc7G/8bIqym/qtQ==

Q3_2. Who in the household is the secondary decicion maker to spend/save income

f10421864 Location:

Value	Label	Frequency
21.	${mem21}	0
10.	${mem10}	0
6.	${mem6}	1
3.	${mem3}	1
13.	${mem13}	0
15.	${mem15}	0
16.	${mem16}	0
7.	${mem7}	0
9.	${mem9}	0
17.	${mem17}	0
18.	${mem18}	0
14.	${mem14}	0
8.	${mem8}	1
20.	${mem20}	0
4.	${mem4}	1
5.	${mem5}	0
2.	${mem2}	82
22.	${mem22}	0
12.	${mem12}	0
11.	${mem11}	0
19.	${mem19}	0
1.	${mem1}	19

Summary Statistics: Max. 8.0; Min. 1.0; Valid 105.0; Mean 1.9428571428571428; StDev 0.852920000628737

Variable Format: numeric

Notes: UNF:6:r9xfuloItxmL+PVn81RATg==

Q3_3. Who in the household is the 3rd decicion maker to spend/save income from t

f10421864 Location:

Value	Label	Frequency	Text
15.	${mem15}	0
1.	${mem1}	0
16.	${mem16}	0
17.	${mem17}	0
21.	${mem21}	0
18.	${mem18}	0
7.	${mem7}	0
19.	${mem19}	0
22.	${mem22}	0
13.	${mem13}	0
11.	${mem11}	0
10.	${mem10}	0
3.	${mem3}	0
8.	${mem8}	0
2.	${mem2}	0
9.	${mem9}	0
12.	${mem12}	0
6.	${mem6}	0
5.	${mem5}	0
14.	${mem14}	0
4.	${mem4}	0
20.	${mem20}	0

Summary Statistics: Valid 0.0; Min. NaN; Max. NaN; StDev NaN; Mean NaN

Variable Format: numeric

Notes: UNF:6:RWQ7QbPsBmjqRR38TuBtIg==

Q3_4. Who in the household is the 4th decicion maker to spend/save income from t

f10421864 Location:

Value	Label	Frequency	Text
18.	${mem18}	0
14.	${mem14}	0
9.	${mem9}	0
19.	${mem19}	0
5.	${mem5}	0
17.	${mem17}	0
21.	${mem21}	0
16.	${mem16}	0
3.	${mem3}	0
6.	${mem6}	0
22.	${mem22}	0
2.	${mem2}	0
20.	${mem20}	0
4.	${mem4}	0
15.	${mem15}	0
13.	${mem13}	0
11.	${mem11}	0
8.	${mem8}	0
10.	${mem10}	0
12.	${mem12}	0
1.	${mem1}	0
7.	${mem7}	0

Summary Statistics: Max. NaN; Valid 0.0; Min. NaN; StDev NaN; Mean NaN

Variable Format: numeric

Notes: UNF:6:RWQ7QbPsBmjqRR38TuBtIg==

Q3. How much cash was received from this source in the last 12 months?

f10421864 Location:

Summary Statistics: Min. 1.0; StDev 36020.01423817623; Mean 26022.050980392167; Max. 204000.0; Valid 510.0

Variable Format: numeric

Notes: UNF:6:h1d0eisvU/ngS0Ja0ZStlw==

household identification number

f10421862 Location:

Summary Statistics: Valid 23319.0; Mean 4.839888969385466E7; Max. 2.65322031E8; Min. 2.0; StDev 8.476313666281106E7

Variable Format: numeric

Notes: UNF:6:8a2ApKTWOOpkBb5txEEZxA==

Food code

f10421862 Location:

Value	Label	Frequency
799.	Other fruits	26
208.	Plantains, cooking banana	156
609.	Butternuts	3
207.	Cocoyams	1
814.	Offals (Liver, matumbo)	14
702.	Citrus fruits (oranges, lemon, tangerines, etc.)	234
301.	Sugar	1413
201.	Cassava fresh	281
803.	Pork including sausages and bacon	7
1103.	Pepper	20
804.	Chicken and other poultry	55
706.	Water melon	53
401.	Beans	713
1207.	Local brews (chang'aa, Busaa, Muratina)	38
107.	Wheat flour	329
304.	Honey, syrups, jams, marmalade, jellies, canned fruits	6
704.	Avocadoes	429
1301.	Full meals (breakfast, lunch or dinner)	67
603.	Cabbage	485
1205.	Prepared tea, coffee	97
607.	Carrots	64
1204.	Bottled/canned soft drinks (soda, juice,)	53
206.	Yams	2
203.	Irish potato	337
903.	Canned milk/milk powder	7
405.	Pigeon peas	5
606.	Tomatoes	1290
105.	Millet flour	41
204.	Arrow roots	58
108.	Buns, cakes and biscuits, manadazi	565
1101.	Salt	1476
504.	Wild nuts and seeds	1
809.	Fresh fish and other seafood	159
407.	Cow peas leaves (Kunde)	517
1002.	Butter, margarine, ghee	20
614.	Beetroots	3
1099.	Other fat products	17
1201.	Tea dry	1325
604.	Kales/Sukuma wiki	1148
1302.	Barbecued meat, chips, roast bananas	5
807.	Bushmeat	1
612.	Wild vegetables	66
1104.	Ginger	53
801.	Goat meat	128
501.	Groundnuts in shell/shelled	35
999.	Other dairy products	5
901.	Fresh milk	1096
1299.	Other beverages	3
808.	Eggs	299
605.	Canned, dried and wild vegetables	7
103.	Sorghum	62
611.	Coriander (Dhania)	63
610.	Capsicum	60
899.	Other meat	2
810.	Smoked fish	17
109.	Breads and scones	506
112.	Porridge mix	101
1203.	Other raw materials for drinks	2
705.	Wild fruits	12
813.	Sardines/omena	652
404.	Green grams	174
601.	Onions	1393
1001.	Cooking oil	1420
608.	Green pepper	7
1303.	Samosa, cake and other snacks	23
1209.	Dawa	1
104.	Millet	28
802.	Beef including minced sausage	289
602.	Spinach	195
811.	Dried/salted fish	109
805.	Wild birds, insects, mice	3
613.	Brinjals (Biringanya)/Eggplant	7
402.	Cow peas	33
1202.	Coffee and cocoa	61
102.	Yellow maize grain	5
113.	Sorghum flour	41
1210.	Bottled/satchet water (pure)	5
1208.	Wine and spirits	5
707.	Pawpaw	114
618.	Indigenous vegetables (Spider plant, mrenda, sagaa)	705
1199.	Other spices	48
403.	Green peas, lentils	22
1206.	Bottled beer	11
406.	Dolicos (Njahi)	5
110.	Macaroni, spaghetti, indomie, noodles	23
615.	Cucumber, courgette	4
902.	Milk products	23
101.	White maize grain, muthokoi	1122
302.	Sugarcane	56
106.	Rice	933
111.	Maize flour	520
701.	Ripe bananas	493
303.	Sweets	81
399.	Other sweets	1
616.	Pumpkin	19
205.	Sweet potato	370
202.	Cassava dry/flour	38
703.	Mangoes	235

Summary Statistics: StDev 352.6554771991144; Valid 23312.0; Mean 598.3125857928638; Min. 101.0; Max. 1303.0

Variable Format: numeric

Notes: UNF:6:ZyO0xCgnEfhWpykTXJJXUw==

Purchased food in KGs

f10421862 Location:

Summary Statistics: Mean 1.6701482305012343; Min. 1.9999999949504854E-5; Valid 18710.0; StDev 2.882436886195938; Max. 53.70000123977661

Variable Format: numeric

Notes: UNF:6:6Y9kncLiBGUuKh2JvtZTjQ==

How much did you spend in food consumed from purchases (KES)?

f10421862 Location:

Summary Statistics: Min. 0.0; StDev 218.927541906345; Valid 18714.0; Max. 3750.0; Mean 169.00670620924262;

Variable Format: numeric

Notes: UNF:6:ynAYXUW4U5YypdRxN0tVkQ==

Produced food in KGs

f10421862 Location:

Summary Statistics: Max. 100.0; Mean 4.635650869545311; StDev 6.104944011612828; Min. 0.0010000000474974513; Valid 3607.0

Variable Format: numeric

Notes: UNF:6:/meiP8ol6LoSffyokprq9w==

Free or gifted food in KGs

f10421862 Location:

Summary Statistics: Max. 36.0; Min. 1.250000059371814E-4; Mean 2.7043357392040877; StDev 4.179630106940252; Valid 1040.0;

Variable Format: numeric

Notes: UNF:6:eZgww9svnNH9cyI7TPnO9w==

Total quantity of food consumed in KG equivalent

f10421862 Location:

Summary Statistics: Min. 0.0; Mean 2.177699519635222; Max. 100.0; StDev 3.7958516614129945; Valid 23319.0

Variable Format: numeric

Notes: UNF:6:P8SZm9Hu40fYsmzAlExv6A==

household identification number

f10421868 Location:

Summary Statistics: Valid 3225.0; StDev 8.65284208369113E7; Mean 4.9446267449305445E7; Max. 2.65322031E8; Min. 2.0

Variable Format: numeric

Notes: UNF:6:+WVfkPogqbAEGUm4yv1Ohw==

Nonfood item id

f10421868 Location:

Value	Label	Frequency
104.	Cell phone voucher	1270
101.	Cigarettes or tobacco	101
103.	Public transport	766
0.	None	0
102.	Matches	1086

Summary Statistics: Min. 101.0; Max. 104.0; Mean 102.99441514117282; Valid 3223.0; StDev 0.925515856382933

Variable Format: numeric

Notes: UNF:6:pQ7fH0zjXssW9tiC1jSs2g==

Q1_3. How much in total (KES) did you pay for this item?

f10421868 Location:

Summary Statistics: StDev 484.149632212006; Valid 3225.0; Max. 6000.0; Mean 253.29085271317763; Min. 2.0

Variable Format: numeric

Notes: UNF:6:FpPFR8VVsKllYcayaO20JQ==

household identification number

f10421863 Location:

Summary Statistics: Max. 2.65322031E8; Valid 9758.0; StDev 8.39877907566515E7; Mean 4.7872204903463796E7; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:DXeUBbnXRN6v9xEZI13NGg==

Nonfood ID

f10421863 Location:

Value	Label	Frequency
224.	Bicycle service, repair, or parts	41
211.	Clothes soap (powder)	1068
218.	Light bulbs/candles/tourch batteries	202
217.	Household cleaning products (dish soap, toilet cleansers, etc.)	94
230.	Sacrifice (animals)	3
210.	Bar soap (for body or cloths)	1475
214.	Glycerine, Vaseline, skin creams	1324
225.	Wages paid to servants	143
223.	Fuel (excluding fuel used for agricultural activities)	261
227.	Mortgage (regular payment to purchase house) or rent	5
231.	Insurance	37
219.	Phone, internet, postage stamps or other postal fees	44
233.	Rent of non agricultural equipment	4
232.	Interests (on loans)	138
221.	Motor vehicle service, repair, or parts	69
212.	Toothpaste, toothbrush, chewing stick	932
220.	Donation - to church, mosque, charity, beggar, etc.	803
228.	Repairs to household and personal items (radios, watches, etc.)	52
209.	Milling fees, grain	1194
229.	Lotteries and raffles	15
213.	Toilet paper	944
226.	Repair cost to farm implements	47
216.	Personal care products for men (shampoo, razor blades, hair products, etc.)	108
215.	Personal care products for women (shampoo, cosmetics, hair products, etc.)	264
222.	Electricity (excluding energy used for agricultural activities)	448
234.	Taxes, certificates, public fees	38

Summary Statistics: Max. 234.0; StDev 5.2653183037039035; Min. 209.0; Mean 214.27724802624834; Valid 9753.0

Variable Format: numeric

Notes: UNF:6:rBzoU1n32oGDxecevXdWCg==

Q1_5. How much in total (KES) did you pay for this item?

f10421863 Location:

Summary Statistics: Mean 472.5439639270328; StDev 1832.649923413994; Min. 10.0; Max. 100000.0; Valid 9758.0

Variable Format: numeric

Notes: UNF:6:3TVfyCnkEa+G71XznoYTeg==

household identification number

f10421854 Location:

Summary Statistics: Max. 2.65322031E8; Valid 17157.0; Min. 2.0; StDev 8.431430095532471E7; Mean 4.829233287026517E7

Variable Format: numeric

Notes: UNF:6:QJrn3+CP5YO22oSMxrC1Vw==

Asset ID

f10421854 Location:

Value	Label	Frequency
16.	Fridge	63
12.	Sewing machine	87
58.	Other non-agricultural assets (specify)	50
41.	Hoe/Jembe	1365
42.	Machete	1272
57.	Other weeding tool	66
15.	Stove (kerosene)	142
45.	Push cart	36
2.	Smartphone	805
30.	Iron	425
9.	Furniture (table)	1389
13.	Gas cooker	404
31.	TV Set	732
54.	Spraying machines (chem./fertilizer)	45
26.	Radio	1016
25.	Fan	5
29.	Microwave	18
21.	Bicycle	171
19.	Washing Machine	5
8.	Furniture (chairs)	1194
49.	Trolley/Trailers	10
40.	Spade/Shovel	744
1.	Mobile phone (excluding smartphones)	1267
39.	Pesticide sprayer	320
3.	Tablet	18
7.	Furniture (3/4 piece sofa set)	889
37.	Rake	350
5.	Portable computer (laptop)	49
11.	Bed	1459
52.	Hand tube well	1
27.	Cassette recorder	4
51.	Winnower	98
32.	DVD Player	112
35.	Reaper/Sickle	196
4.	Desktop (fixed) computer	6
10.	Mattress	1469
53.	Electric motor pump	12
33.	Satellite Dish	145
22.	Motorbike	248
17.	Freezer	7
24.	Generator	22
28.	Hi-Fi (Sound System)	172
38.	Ox-drawn plough	38
43.	Hand trowel	48
14.	Stove (electric) Stove gas (table)	47
23.	Cars and other vehicles	56
44.	Bullock cart	9
18.	Air conditioner	2
50.	Fodder cutting machine	40
55.	Thresher	15
36.	Harrower	9
34.	Musical Instrument	5

Summary Statistics: StDev 15.209110602004724; Min. 1.0; Max. 58.0; Mean 20.677740863787456; Valid 17157.0

Variable Format: numeric

Notes: UNF:6:ZChF48PmemvTDX6kP4u+YQ==

Q2. How many of this asset does your household own?

f10421854 Location:

Summary Statistics: Mean 2.0869615900215694; StDev 1.8626204491246343; Valid 17157.0; Max. 50.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1eQbdgAjPgVbjnJ78klZqw==

How many household members own ${assetname}?

f10421854 Location:

Summary Statistics: Max. 4.0; Mean 1.315672903188203; StDev 0.5607382156471774; Min. 0.0; Valid 17157.0

Variable Format: numeric

Notes: UNF:6:bdRqtgjCxf5vrQakJPkY3w==

Q3_1. Who in the household is the primary owner of this asset?

f10421854 Location:

Value	Label	Frequency
16.	${mem16}	0
7.	${mem7}	11
10.	${mem10}	5
1.	${mem1}	14169
19.	${mem19}	0
5.	${mem5}	46
14.	${mem14}	0
9.	${mem9}	5
17.	${mem17}	0
8.	${mem8}	6
6.	${mem6}	48
15.	${mem15}	0
21.	${mem21}	0
3.	${mem3}	288
18.	${mem18}	0
22.	${mem22}	0
13.	${mem13}	0
20.	${mem20}	0
2.	${mem2}	2471
12.	${mem12}	5
11.	${mem11}	0
4.	${mem4}	103

Summary Statistics: Max. 12.0; Valid 17157.0; Mean 1.234772978959023; StDev 0.6638385745870363; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:m4WXW33O5dAqfgeVUwwlkw==

Q3_2. Who in the household is the second owner of this asset?

f10421854 Location:

Value	Label	Frequency
20.	${mem20}	0
7.	${mem7}	12
3.	${mem3}	402
8.	${mem8}	9
13.	${mem13}	2
18.	${mem18}	0
12.	${mem12}	8
10.	${mem10}	1
17.	${mem17}	0
2.	${mem2}	3810
19.	${mem19}	0
6.	${mem6}	32
4.	${mem4}	99
21.	${mem21}	0
11.	${mem11}	2
9.	${mem9}	1
14.	${mem14}	0
15.	${mem15}	0
1.	${mem1}	282
16.	${mem16}	0
22.	${mem22}	0
5.	${mem5}	70

Summary Statistics: Mean 2.191331923890065; Max. 13.0; Min. 1.0; StDev 0.9185299757332446; Valid 4730.0

Variable Format: numeric

Notes: UNF:6:qO1YtgvxIcX6JvbR7Q9AUg==

Q3_4. Who in the household is the third owner of this asset?

f10421854 Location:

Value	Label	Frequency
18.	${mem18}	0
14.	${mem14}	0
9.	${mem9}	2
6.	${mem6}	21
17.	${mem17}	0
11.	${mem11}	1
7.	${mem7}	10
15.	${mem15}	0
5.	${mem5}	43
10.	${mem10}	3
2.	${mem2}	26
22.	${mem22}	0
4.	${mem4}	105
1.	${mem1}	4
8.	${mem8}	7
21.	${mem21}	0
19.	${mem19}	0
20.	${mem20}	0
12.	${mem12}	3
16.	${mem16}	0
13.	${mem13}	1
3.	${mem3}	305

Summary Statistics: Max. 13.0; Valid 531.0; Min. 1.0; StDev 1.5090837013220444; Mean 3.7024482109227868

Variable Format: numeric

Notes: UNF:6:luiMQKJwSrzkvCdBp7q65g==

Q3_4. Who in the household is the fourth owner of this asset?

f10421854 Location:

Value	Label	Frequency
19.	${mem19}	0
7.	${mem7}	4
10.	${mem10}	1
15.	${mem15}	1
2.	${mem2}	5
22.	${mem22}	0
6.	${mem6}	10
3.	${mem3}	4
11.	${mem11}	0
14.	${mem14}	0
4.	${mem4}	96
16.	${mem16}	0
8.	${mem8}	2
9.	${mem9}	1
1.	${mem1}	2
21.	${mem21}	0
17.	${mem17}	0
12.	${mem12}	1
20.	${mem20}	0
18.	${mem18}	0
13.	${mem13}	1
5.	${mem5}	28

Summary Statistics: Valid 156.0; Max. 15.0; Min. 1.0; StDev 1.7161110747395314; Mean 4.5576923076923075

Variable Format: numeric

Notes: UNF:6:goJD1dNEXps/T6pvSbMOjA==

How many household members use ${assetname}?

f10421854 Location:

Summary Statistics: Mean 1.8167832167832163; Max. 4.0; Min. 0.0; Valid 2145.0; StDev 0.88809387429986

Variable Format: numeric

Notes: UNF:6:uFiDE4QDXjpfeeQjx96/kg==

Q4_1. Who in the household is the primary user of this asset?

f10421854 Location:

Value	Label	Frequency
19.	${mem19}	0
11.	${mem11}	0
9.	${mem9}	1
17.	${mem17}	0
14.	${mem14}	0
2.	${mem2}	458
15.	${mem15}	0
16.	${mem16}	0
21.	${mem21}	0
3.	${mem3}	171
12.	${mem12}	0
10.	${mem10}	0
1.	${mem1}	1423
5.	${mem5}	21
4.	${mem4}	52
7.	${mem7}	6
13.	${mem13}	0
20.	${mem20}	0
22.	${mem22}	0
8.	${mem8}	2
18.	${mem18}	0
6.	${mem6}	11

Summary Statistics: Valid 2145.0; Min. 1.0; StDev 0.9608058127954688; Mean 1.5375291375291376; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:JGA9zdhnN1GuqtB9+B6Dyg==

Q4_2. Who in the household is the second user of this asset?

f10421854 Location:

Value	Label	Frequency
3.	${mem3}	182
21.	${mem21}	0
4.	${mem4}	79
13.	${mem13}	0
8.	${mem8}	4
11.	${mem11}	2
17.	${mem17}	0
6.	${mem6}	14
18.	${mem18}	0
16.	${mem16}	0
9.	${mem9}	1
1.	${mem1}	81
10.	${mem10}	3
5.	${mem5}	37
12.	${mem12}	1
15.	${mem15}	0
19.	${mem19}	0
14.	${mem14}	0
20.	${mem20}	0
22.	${mem22}	0
2.	${mem2}	796
7.	${mem7}	7

Summary Statistics: Valid 1207.0; Min. 1.0; Mean 2.450704225352113; Max. 12.0; StDev 1.191740822035494

Variable Format: numeric

Notes: UNF:6:OqRRUFUBEYRo/okDtGQYxw==

Q4_3. Who in the household is the third user of this asset?

f10421854 Location:

Value	Label	Frequency
1.	${mem1}	14
12.	${mem12}	1
2.	${mem2}	12
13.	${mem13}	0
4.	${mem4}	83
18.	${mem18}	0
6.	${mem6}	15
11.	${mem11}	2
19.	${mem19}	0
16.	${mem16}	0
22.	${mem22}	0
7.	${mem7}	6
20.	${mem20}	0
10.	${mem10}	3
8.	${mem8}	4
3.	${mem3}	224
5.	${mem5}	38
14.	${mem14}	0
15.	${mem15}	0
21.	${mem21}	0
9.	${mem9}	6
17.	${mem17}	0

Summary Statistics: Max. 12.0; StDev 1.5673829492598403; Min. 1.0; Valid 408.0; Mean 3.7107843137254903

Variable Format: numeric

Notes: UNF:6:GxGjn6hOMa+VulQWpjwscQ==

Q4_4. Who in the household is the fourth user of this asset?

f10421854 Location:

Value	Label	Frequency
19.	${mem19}	0
18.	${mem18}	0
1.	${mem1}	0
3.	${mem3}	4
21.	${mem21}	0
15.	${mem15}	1
13.	${mem13}	1
6.	${mem6}	12
11.	${mem11}	0
12.	${mem12}	4
17.	${mem17}	0
22.	${mem22}	0
2.	${mem2}	7
5.	${mem5}	23
16.	${mem16}	0
7.	${mem7}	3
10.	${mem10}	1
8.	${mem8}	2
4.	${mem4}	79
20.	${mem20}	0
9.	${mem9}	1
14.	${mem14}	0

Summary Statistics: Min. 2.0; Valid 138.0; Max. 15.0; StDev 2.0838373451477623; Mean 4.789855072463768

Variable Format: numeric

Notes: UNF:6:4KTcfiJZcaZZoy4a77fV/Q==

Q5. Does the has any 'app' for agriculture that support farmers'

f10421854 Location:

Value	Label	Frequency	Text
0.	no	820
1.	yes	58

Summary Statistics: Max. 1.0; StDev 0.24852716647210893; Mean 0.06605922551252849; Min. 0.0; Valid 878.0

Variable Format: numeric

Notes: UNF:6:zDqK9LJFk3z22lgCWLghHA==

household identification number

f10421871 Location:

Summary Statistics: Valid 1948.0; Min. 2.0; StDev 8.732859396679416E7; Mean 4.934754733213564E7; Max. 2.65322031E8

Variable Format: numeric

Notes: UNF:6:p44ohSpGQXUdWqjAvR83dQ==

Water source ID

f10421871 Location:

Value	Label	Frequency
3.	Surface water (rivers and/or lakes)	236
1.	Rain water (without reservior)	1455
4.	Ground water from wells	108
2.	Rain water (with reservior)	96
5.	Tap water	40

Summary Statistics: Mean 1.543669250646001; Max. 5.0; StDev 1.0370738676636786; Valid 1935.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:P9eSogwdFSBQkJHa3agfUg==

NQ2_q. How much water did you use from ${sourcename} in the last 12 months?

f10421871 Location:

Summary Statistics: Valid 493.0; Min. 0.0; Max. 960000.0; Mean 20583.761476676784; StDev 79062.93196028557

Variable Format: numeric

Notes: UNF:6:fN7cmU5C8d1e82XD6HRSzA==

NQ2_u Unit of water used

f10421871 Location:

Value	Label	Frequency	Text
1.	cubic meters	27
2.	Liters	466

Summary Statistics: Max. 2.0; Mean 1.945233265720081; Min. 1.0; StDev 0.22775547691576187; Valid 493.0

Variable Format: numeric

Notes: UNF:6:mjnpCE2j5ynOr+yvt9CxLA==

NQ3. How much did you spend for the water from ${sourcename} in the last 12 mon

f10421871 Location:

Summary Statistics: Mean 3742.6696428571427; Valid 112.0; StDev 4969.219365865947; Max. 25000.0; Min. 10.0;

Variable Format: numeric

Notes: UNF:6:8wUHRMzfwSPTigYZ4w8JuQ==

NQ4_q. On average, how long (minutes) does it take from the homestead to go to t

f10421871 Location:

Summary Statistics: StDev 13.193669196819862; Mean 11.983772819472614; Min. 0.0; Valid 493.0; Max. 60.0;

Variable Format: numeric

Notes: UNF:6:9F4bKt0J/Bf2SKkAk3UfWg==

NQ4_u. What is the usual mode of transport to the ${sourcename}

f10421871 Location:

Value	Label	Frequency
4.	Minibus	1
5.	Car	5
2.	Bicycle	10
3.	Animal drawn cart	5
1.	On foot	472

Summary Statistics: Valid 493.0; Min. 1.0; Mean 1.0872210953346857; StDev 0.4839906370890408; Max. 5.0

Variable Format: numeric

Notes: UNF:6:8YSXggakRANRUeBdpW/tJg==

household identification number

f10421865 Location:

Summary Statistics: Valid 151.0; StDev 9.550076086457711E7; Min. 86.0; Max. 2.6527196E8; Mean 5.722555521192054E7

Variable Format: numeric

Notes: UNF:6:j/WGJso75owQB2oNnHjfWA==

Energy source

f10421865 Location:

Value	Label	Frequency
0.	None	0
2.	Fuel-Powered Electricity Generator	35
1.	Standard (GRID) Electricity	49
3.	Solar Panel	40
4.	Wind Mill	27

Summary Statistics: Min. 1.0; Max. 4.0; StDev 1.1063134094023273; Mean 2.2980132450331117; Valid 151.0;

Variable Format: numeric

Notes: UNF:6:QoSdUDsTHQFrLzRKDOEZyw==

OQ2_q. How much electricity did you use from ${energyname} in the last 12 month

f10421865 Location:

Summary Statistics: Max. 240000.0; Valid 151.0; Mean 4652.609271523172; Min. 0.0; StDev 24667.37612879907

Variable Format: numeric

Notes: UNF:6:RTcnPx/ipHHYcML1lFgYKg==

OQ2_u. Unit of energy used in your farm

f10421865 Location:

Value	Label	Frequency
1.	KWh	2
2.	KSH	147
-99.	Don’t know	0

Summary Statistics: Min. 1.0; Mean 1.9865771812080537; Max. 2.0; Valid 149.0; StDev 0.11546481745700346

Variable Format: numeric

Notes: UNF:6:85cwaSo7lnZRBLdRkTY8zA==

OQ3. Do you own a ${energyname} ?

f10421865 Location:

Value	Label	Frequency	Text
0.	no	62
1.	yes	40

Summary Statistics: Valid 102.0; Mean 0.3921568627450979; Min. 0.0; StDev 0.4906423904927861; Max. 1.0

Variable Format: numeric

Notes: UNF:6:nbaz7Yib3CUOW5h4gDQnjA==

OQ4. How much did you pay to buy electicity from ${energyname} in the last 12 m

f10421865 Location:

Summary Statistics: Valid 38.0; Min. 500.0; StDev 8318.555057842415; Mean 9676.578947368422; Max. 35000.0

Variable Format: numeric

Notes: UNF:6:39w2qwN8cKqyaY8cdz4eLA==

OQ5. How much did you spend for the maintenance of ${energyname} in the last 12

f10421865 Location:

Summary Statistics: Mean 2124.4444444444443; Min. 200.0; Max. 8000.0; Valid 18.0; StDev 1922.6642734748914

Variable Format: numeric

Notes: UNF:6:GxSLzdE5nSL/gLyhzBUmEw==

OQ6. How much did you spend for the electicity used from ${energyname} in the l

f10421865 Location:

Summary Statistics: Min. 500.0; Mean 8627.352941176472; Valid 34.0; StDev 7818.268160096129; Max. 30500.0

Variable Format: numeric

Notes: UNF:6:gGO9p8LxmYFC8V/44umw7g==

household identification number

f10421870 Location:

Summary Statistics: StDev 8.634338597471264E7; Max. 2.65322031E8; Valid 12016.0; Mean 4.865301687949406E7; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:/cWahALPBIrg/sacnnoGuQ==

Fuel source name

f10421870 Location:

Value	Label	Frequency
3.	Biogas	1502
0.	None	0
1.	Kerosene	1502
8.	Charcoal	1502
6.	Collected wood	1502
2.	Gas	1502
5.	Home grown wood	1502
7.	Briquettes	1502
4.	Petrol or diesel	1502

Summary Statistics: Min. 1.0; StDev 2.291383196632056; Valid 12016.0; Mean 4.5; Max. 8.0

Variable Format: numeric

Notes: UNF:6:ltkDvHfhRx4L8ZimzC4HQw==

PQ1. During the last 12 months, did you use ${fuelname} in the farm?

f10421870 Location:

Value	Label	Frequency	Text
0.	no	11866
1.	yes	150

Summary Statistics: StDev 0.11103399196511493; Min. 0.0; Valid 12016.0; Mean 0.012483355525965214; Max. 1.0

Variable Format: numeric

Notes: UNF:6:SQtG1Fy1mzh/HcmPJCrQiA==

PQ2_q. How much ${fuelname} di you use in the last 12 months?

f10421870 Location:

Summary Statistics: StDev 993.6843275413257; Mean 136.07800000031796; Valid 150.0; Min. 0.5; Max. 12000.0

Variable Format: numeric

Notes: UNF:6:aSMsSfji0VabfCly1otlnA==

PQ2_u. Unit of fuel used

f10421870 Location:

Value	Label	Frequency
7.	90kg bag	13
2.	Kilos	7
4.	Debe	2
3.	Gorogoro	2
9.	Cart	9
5.	Pieces	13
6.	50kg bag	2
8.	wheelbarrow	68
1.	Liters	34

Summary Statistics: Max. 9.0; StDev 3.013949670689552; Min. 1.0; Valid 150.0; Mean 5.700000000000002

Variable Format: numeric

Notes: UNF:6:mzkLWdICDZIzLPewhVNcOQ==

PQ3. How much did you spend on ${fuelname} in the last 12 months? (Shillings)

f10421870 Location:

Summary Statistics: Mean 4207.295081967214; Valid 61.0; StDev 5866.40411820922; Max. 37128.0; Min. 3.0;

Variable Format: numeric

Notes: UNF:6:UiFYogo6ufyptmsIJXI+AA==

PQ4.Do you sell any of these ${fuelname} ?

f10421870 Location:

Value	Label	Frequency	Text
0.	no	147
1.	yes	0

Summary Statistics: Max. 0.0; Min. 0.0; Mean 0.0; StDev 0.0; Valid 147.0

Variable Format: numeric

Notes: UNF:6:yD/vo66MpR3y6BRTQIi6aQ==

PQ5. What is your annual income from selling ${fuelname} ? (Shillings)

f10421870 Location:

Summary Statistics: Mean NaN; Max. NaN; StDev NaN; Valid 0.0; Min. NaN

Variable Format: numeric

Notes: UNF:6:9LTUck6Ve39cBWVks4vNIQ==

household identification number

f10421858 Location:

Summary Statistics: StDev 8.549198642472656E7; Max. 2.65322031E8; Valid 1430.0; Min. 9.0; Mean 4.763237169930067E7;

Variable Format: numeric

Notes: UNF:6:8tUQf0Lc0391oR6T1OADow==

Transport ID

f10421858 Location:

Value	Label	Frequency
1.	Walking	975
3.	Car	24
88.	Other	7
5.	Truck, lorry, cart	96
4.	Bus	1
2.	Bike, motorbike	325

Summary Statistics: Mean 1.9586834733893776; StDev 6.1308188083352855; Min. 1.0; Max. 88.0; Valid 1428.0

Variable Format: numeric

Notes: UNF:6:J6WU3Ku6AfbctaT+7nb85Q==

QQ2. What was the average distance per journey mande using ${transportname} in

f10421858 Location:

Summary Statistics: Mean 2.1341738548342226; Valid 1396.0; Max. 30.0; Min. 5.000000237487257E-4; StDev 3.457735852557218

Variable Format: numeric

Notes: UNF:6:+Q/H0XwU2/qpDZByrGmZMw==

QQ3. What is the cost you paid for transporting the agricultural produce from th

f10421858 Location:

Summary Statistics: StDev 1870.2077514756982; Mean 1349.8550420168096; Min. 1.0; Valid 476.0; Max. 16000.0;

Variable Format: numeric

Notes: UNF:6:ZPcj8NFqJ2uV2PdmKYGbng==

household identification number

f10421867 Location:

Summary Statistics: Min. 2.0; Mean 4.5298478663527764E7; StDev 8.3156389619282E7; Valid 2761.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:H95KRudEOSYeL0wR1mrAKQ==

Waste ID

f10421867 Location:

Value	Label	Frequency
6.	Glass, cans, tins	84
7.	Other inorganic waste (fertilizers, pesticides, other chemicals, etc.)	14
3.	Crop residues	1266
5.	Paper / cardboard waste	46
4.	Plastic waste	293
1.	Livestock manure	1053
2.	Livestock leftover from slaughtering	4

Summary Statistics: Mean 2.486594202898545; Max. 7.0; Valid 2760.0; StDev 1.33884230817953; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:SOAq1KlFjZlkBf3YWVgCpw==

RQ2_q. How much ${wastename} did you produce in the last 12 months?

f10421867 Location:

Summary Statistics: Mean 35.12615036224915; Min. 0.10000000149011612; Valid 2760.0; StDev 313.19198574809496; Max. 12000.0

Variable Format: numeric

Notes: UNF:6:p4KxUifmJUP9pIre86FRIA==

RQ2_u. Unit of the waste produced

f10421867 Location:

Value	Label	Frequency
4.	Debe	57
5.	Pieces	204
8.	wheelbarrow	1069
1.	Liters	2
6.	50kg bag	125
7.	90kg bag	193
3.	Gorogoro	16
9.	Cart	1029
2.	Kilos	66

Summary Statistics: Min. 1.0; Max. 9.0; StDev 1.6087978360565771; Mean 7.730532415791338; Valid 2761.0;

Variable Format: numeric

Notes: UNF:6:axZO4w5j3Ueag7bOiTXpvw==

RQ3. How did you didpose of ${wastename}?

f10421867 Location:

Value	Label	Frequency
1.	Throwing on land (landfill, pits)	628
2.	Throwing in water (rivers, lakes, sea)	1
4.	Recycling	1778
88.	Other(specify)	28
3.	Incineration	326

Summary Statistics: StDev 8.587632266407217; Mean 4.0507062658457; Min. 1.0; Max. 88.0; Valid 2761.0

Variable Format: numeric

Notes: UNF:6:vqLQas+8DKcMJgzv7k2bqw==

household identification number

f10421856 Location:

Summary Statistics: Mean 4.865301687949427E7; StDev 8.636854901785065E7; Valid 1502.0; Min. 2.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:UvWCM8iXf98MdcTiWH/n7g==

SQ1. Were there any work incidents (*) in the last 12 months?

f10421856 Location:

Value	Label	Frequency	Text
0.	no	1480
1.	yes	22

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.12017576230628073; Mean 0.01464713715046602; Valid 1502.0;

Variable Format: numeric

Notes: UNF:6:cs36VWoW7wtBwY9TJwh9gA==

SQ2. How many incidents were there in the last 12 months?

f10421856 Location:

Summary Statistics: StDev 0.5810872031479765; Min. 1.0; Max. 3.0; Valid 22.0; Mean 1.3636363636363635;

Variable Format: numeric

Notes: UNF:6:HaiBxrDY1ZIDbjl35oRLPA==

SQ3. Did the farm or the farm's insurance contribute in paying the healthcare co

f10421856 Location:

Value	Label	Frequency
3.	Insurance paid in full	0
4.	Both the farm (or farm's insurance) and the workers paid a share	3
2.	Farm paid in full	9
1.	Worker paid in full	10
5.	community seed bank	0

Summary Statistics: Max. 4.0; Mean 1.8181818181818181; Valid 22.0; StDev 1.0064725594803927; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:bwBp1K3kwHNt3sEsDYuUHQ==

SQ4. what was the total amount contributed by the farm? (KSH)

f10421856 Location:

Summary Statistics: Min. 50.0; Max. 500.0; StDev 229.128784747792; Mean 250.0; Valid 3.0

Variable Format: numeric

Notes: UNF:6:k6qmD8T8+xqYvhN9CRGD8Q==

SQ5. Were there any fatal incidences in your farm in the last 12 months?

f10421856 Location:

Value	Label	Frequency	Text
0.	no	21
1.	yes	1

Summary Statistics: Min. 0.0; Valid 22.0; Max. 1.0; Mean 0.04545454545454545; StDev 0.2132007163556105;

Variable Format: numeric

Notes: UNF:6:rKGfvqRT3tPtFkzvTUTJnw==

SQ6. How many people lost their lives?

f10421856 Location:

Summary Statistics: Min. 0.0; Valid 1.0; Max. 0.0; StDev 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:yxlbzejM2gBFtzCVGyZ/hQ==

SQ7. What compensation was paid to the families of the victims (KES)?

f10421856 Location:

Summary Statistics: Min. 0.0; StDev 0.0; Valid 1.0; Max. 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:yxlbzejM2gBFtzCVGyZ/hQ==

household identification number

f10421859 Location:

Summary Statistics: Max. 2.65322031E8; Mean 5.0237524593394235E7; Min. 2.0; Valid 3180.0; StDev 8.670375437256481E7

Variable Format: numeric

Notes: UNF:6:bW25mKLNQ1TFXMUSgZnzWQ==

Shock ID

f10421859 Location:

Value	Label	Frequency
11.	Unusually low prices/demand for agricultural outputs produced by the household	21
24.	Theft of money/ valuables/ assets/ livestock/ agricultural or business output	104
2.	Floods	55
14.	Unusually high prices/demand for non-agricultural outputs produced by the household	4
23.	Conflict/violence (peace and order issue in your area)	22
12.	Unusually low prices/demand for non-agricultural outputs produced by the household	7
22.	Break-up of the household (e.g. divorce, separation)	32
4.	Changes in rainy season	198
20.	Death of income earner(s)	60
3.	Unusually harsh frost/hail storm	87
17.	End of regular assistance/aid/remittances from outside household	15
1.	Unusually harsh drought	676
15.	Shut-down (permanent or temporary) of household business activities	28
8.	Unusually high level of livestock disease	94
21.	Death of other household member(s)	174
10.	Unusually high prices of non-agricultural production inputs (including hired labor)	64
16.	Unusually high prices of major food items purchased by the household	584
9.	Unusually high prices of agricultural production inputs (including hired labor)	245
18.	Loss of salaried employment or non-payment of salary of household member(s)	71
5.	Extreme variations in temperature	28
13.	Unusually high prices/demand for agricultural outputs produced by the household	14
6.	Landslide/Earthquake	3
7.	Unusually high level of crop pests or disease	250
19.	Chronic/severe illness or accident of household member(s)	342

Summary Statistics: Valid 3178.0; Min. 1.0; Mean 10.777847702957828; Max. 24.0; StDev 7.570280519542639

Variable Format: numeric

Notes: UNF:6:BxVB7pmbNC5jXu+Id0Q5Bg==

TQ2. Since 2019, how many times did your household experience the ${shockname}?

f10421859 Location:

Summary Statistics: Valid 3180.0; Max. 6.0; StDev 1.1185281970571104; Mean 1.9657232704402519; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:LriIbo3bf7BFGOuZiNjD+w==

TQ3. Overall, how strong was the impact of ${shockname} on the livelihood of yo

f10421859 Location:

Value	Label	Frequency
3.	No impact	12
2.	Moderate negative impact	559
1.	Strong negative impact	2599
4.	Moderate positive impact	3
5.	Strong positive impact	7

Summary Statistics: Valid 3180.0; Mean 1.1949685534591192; Max. 5.0; StDev 0.4434414219502534; Min. 1.0

Variable Format: numeric

Notes: UNF:6:OQA/7DjEdNDPt1Zem9rIlg==

TQ4. In which YEAR did the most severe negative instance of ${shockname} occur/

f10421859 Location:

Summary Statistics: Max. 2023.0; StDev 1.0286104434129164; Valid 3158.0; Mean 2021.5408486383787; Min. 2019.0

Variable Format: numeric

Notes: UNF:6:oB8KXFfTqCgiVKk21oakOA==

TQ5. To what extent was your household able to recover its livelihoods from the

f10421859 Location:

Value	Label	Frequency
5.	Did not recover	1152
2.	Recovered and better off	356
1.	Not affected significantly	23
4.	Recovered some, but worse	876
3.	Recovered to same level	751

Summary Statistics: Max. 5.0; Min. 1.0; Valid 3158.0; StDev 1.0511581403465198; Mean 3.8796706776440826

Variable Format: numeric

Notes: UNF:6:Hc3V+QgZ4kwpdia8ZxLc1w==

TQ6. In the last 12 months, did your household experience ${shockname} ?

f10421859 Location:

Value	Label	Frequency	Text
0.	no	828
1.	yes	2352

Summary Statistics: Min. 0.0; StDev 0.4389095223229032; Valid 3180.0; Mean 0.7396226415094336; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:gsGN4C3sSYu5t6vVK0MvnQ==

TQ7. During last 12 months, how many times did your household experience the ${

f10421859 Location:

Summary Statistics: Mean 1.4332482993197273; Valid 2352.0; Min. 1.0; StDev 0.874400805469797; Max. 7.0

Variable Format: numeric

Notes: UNF:6:CN/RQlxiwo1lzr0CbqkT0A==

TQ8. Was the ${shockname} a direct consequence of COVID-19 outbreak?

f10421859 Location:

Value	Label	Frequency	Text
0.	no	2126
1.	yes	226

Summary Statistics: Max. 1.0; Valid 2352.0; Mean 0.09608843537414981; Min. 0.0; StDev 0.29477515500075263

Variable Format: numeric

Notes: UNF:6:G31gDVpCjCvUaQPrR4HU0g==

TQ9. Overall, how strong was the impact of ${shockname} on the livelihood of yo

f10421859 Location:

Value	Label	Frequency
5.	Strong positive impact	6
4.	Moderate positive impact	7
1.	Strong negative impact	1854
2.	Moderate negative impact	480
3.	No impact	5

Summary Statistics: Min. 1.0; Mean 1.2274659863945572; StDev 0.47806220275822264; Max. 5.0; Valid 2352.0;

Variable Format: numeric

Notes: UNF:6:K66tufMbsYMgBDZaCBXzIA==

TQ10. To what extent was your household able to recover its livelihoods from the

f10421859 Location:

Value	Label	Frequency
1.	Not affected significantly	11
2.	Recovered and better off	198
4.	Recovered some, but worse	665
3.	Recovered to same level	515
5.	Did not recover	945

Summary Statistics: Min. 1.0; Mean 4.000428449014569; Valid 2334.0; Max. 5.0; StDev 1.0038501901505652

Variable Format: numeric

Notes: UNF:6:L+wh4wg+ARJW3viXhFfBQw==

household identification number

f10421861 Location:

Summary Statistics: StDev 8.636854901785065E7; Min. 2.0; Valid 1502.0; Mean 4.865301687949427E7; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:UvWCM8iXf98MdcTiWH/n7g==

UQ1. Does at least one member of the household belong to farmers' cooperative or

f10421861 Location:

Value	Label	Frequency	Text
1.	yes	276
0.	no	1226

Summary Statistics: Max. 1.0; Mean 0.18375499334221035; Min. 0.0; Valid 1502.0; StDev 0.3874132443233147;

Variable Format: numeric

Notes: UNF:6:spNTQxmZJSBM1BzEeBDDmA==

UQ2. Select the household members who belong to the farmers cooperatives or asso

f10421861 Location:

Variable Format: character

Notes: UNF:6:pE5Rh1ZJBr9K0on6e7ldCQ==

Item Category

f10415405 Location:

Variable Format: character

Notes: UNF:6:y+sPpiJr7qWGarKMiYuJbg==

Unit of measurement

f10415405 Location:

Value	Label	Frequency
5.	Paces	1
3.	Metres Square	1
1.	Acres	1
6.	Point	1
2.	Hectares	1
4.	Feet	1

Summary Statistics: Max. 6.0; Valid 6.0; Min. 1.0; Mean 3.5; StDev 1.8708286933869707

Variable Format: numeric

Notes: UNF:6:VxWdqGLO9z1LjKj+NmEFLA==

Conversion factor in Acres

f10415405 Location:

Summary Statistics: StDev 0.9986230515415548; Max. 2.4699997901916504; Mean 0.5950712919466241; Valid 6.0; Min. 2.2959999114391394E-5

Variable Format: numeric

Notes: UNF:6:Yml2OytujBxjlzUo4Yn9iw==

Item Category

f10415404 Location:

Variable Format: character

Notes: UNF:6:2Lo2ylfN/Chpa3sCQO6qsw==

Item ID

f10415404 Location:

Value	Label	Frequency
121.	French beans	1
316.	Ginger	0
138.	Peas green	3
107.	Cabbage	2
310.	Cocoyam	1
125.	Maize fodder	2
144.	Spinach	3
148.	Tobacco	1
118.	Dolicos (Njahi)	0
147.	Tiger nut	0
117.	Cucumber	0
331.	Custard apple (matomoko)	5
119.	Finger millet	6
313.	Cotton	3
132.	Pumpkin leaves	4
325.	Pawpaw/Papaya	8
131.	Pumpkin	3
122.	Groundnut/Peanut	7
322.	Oil palm	0
320.	Mangoes	10
130.	Onion	7
326.	Pineapple	1
106.	Butter nuts	3
335.	Guavas	5
309.	Coconut	0
330.	Shea nut	0
312.	Colanut	0
141.	Sesame seeds	2
314.	Tea	2
149.	Tomatoes	7
110.	Carrot	2
323.	Orange/Tangerine	8
128.	Okra	0
306.	Cashew	0
317.	Macademia	1
888.	Other seasonal crops	0
304.	Banana (ripe)	3
126.	Maize	9
318.	Khat (Mira)	0
133.	Other cereals	0
137.	Irish potato	8
332.	Sugarcane	5
111.	Chickpea	0
154.	Commercial grass/pasture	1
305.	Baobab	0
151.	Watermelon	2
135.	Green grams	8
337.	Sisal	1
129.	Oats	0
142.	Sorghum/Guinea corn	6
101.	Arrow roots	7
113.	Courgette	0
153.	Bambara bean	1
327.	Plantain	2
127.	Maize green	6
116.	Capsicum (hoho)	2
301.	Avocado	8
115.	Cowpea leaves	10
123.	Kale	6
334.	Tree tomato	3
399.	Other tree crops	0
102.	Bean	9
311.	Coffee	2
145.	Sweet potato	10
143.	Soybean	2
109.	Cassava	9
108.	Cauliflower	0
324.	Passion Fruit	9
152.	Indigenous vegetables	6
308.	Cocoa	0
124.	Leeks	0
114.	Cowpea	7
321.	Nappier grass	7
103.	Beetroots	2
134.	Other pulses, nuts	4
333.	Yam	0
120.	Field peas	0
139.	Pigeon pea (mbaazi)	4
315.	Garlic	0
140.	Rice	0
398.	Other perennial crops	2
319.	Lime/Lemon	8
150.	Wheat	0
105.	Broccoli	0
136.	Pepper (Bell)	2
112.	Corriander	1
303.	Banana (cooking)	2
146.	Pearl millet (Mawele)	2
336.	Jack fruit	2
104.	Brinjals (Biringanya)	1

Summary Statistics: Max. 398.0; Mean 196.52898550724657; Min. 101.0; StDev 94.93570586293832; Valid 276.0

Variable Format: numeric

Notes: UNF:6:g6a/cN/dDcfJGdN0ho0Uzg==

Unit of measurement

f10415404 Location:

Value	Label	Frequency
11.	50kg bag	33
1.	Grams	3
27.	No/Piece	24
2.	Kilograms	36
29.	Units	0
17.	Wheelbarrow	1
5.	Gorogoro	21
19.	Canter	3
4.	Litres	0
22.	Cart	3
13.	Bunch	7
12.	90kg bag	33
8.	20kg bucket	17
21.	Cup	0
9.	10kg bag	18
25.	1KG Tin	1
14.	Heap/bale	3
30.	2kg packet	0
3.	Millilitres	0
28.	Tray	0
7.	10kg bucket	15
10.	25kg bag	26
18.	Pick-up	6
16.	Crate	7
6.	Debe	19

Summary Statistics: Mean 10.442028985507244; Max. 27.0; Valid 276.0; StDev 6.69873053476094; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:cRAkI69IesQWNByYt49pWg==

Conversion factor in Kg

f10415404 Location:

Summary Statistics: Valid 276.0; Max. 2609.550048828125; StDev 210.58625659249614; Mean 55.7398550616496; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:nakbHM8Hbo0ops9fBcfSmA==

Item Category

f10415406 Location:

Variable Format: character

Notes: UNF:6:P9itywB5gBppQbRnxoaLEg==

Item ID

f10415406 Location:

Value	Label	Frequency
809.	Fresh fish and other seafood	4
606.	Tomatoes	10
405.	Pigeon peas	2
109.	Breads and scones	3
208.	Plantains, cooking banana	3
102.	Yellow maize grain	2
112.	Porridge mix	7
501.	Groundnuts in shell/shelled	5
1209.	Dawa	1
1202.	Coffee and cocoa	3
402.	Cow peas	7
1201.	Tea dry	4
999.	Other dairy products	3
611.	Coriander (Dhania)	4
1303.	Samosa, cake and other snacks	3
811.	Dried/salted fish	4
901.	Fresh milk	8
1001.	Cooking oil	8
1002.	Butter, margarine, ghee	2
804.	Chicken and other poultry	2
903.	Canned milk/milk powder	4
407.	Cow peas leaves (Kunde)	5
1203.	Other raw materials for drinks	1
604.	Kales/Sukuma wiki	9
616.	Pumpkin	3
704.	Avocadoes	3
615.	Cucumber, courgette	2
302.	Sugarcane	2
1205.	Prepared tea, coffee	3
101.	White maize grain, muthokoi	8
113.	Sorghum flour	4
1099.	Other fat products	3
504.	Wild nuts and seeds	1
107.	Wheat flour	1
802.	Beef including minced sausage	3
899.	Other meat	1
205.	Sweet potato	10
805.	Wild birds, insects, mice	2
814.	Offals (Liver, matumbo)	1
799.	Other fruits	3
1301.	Full meals (breakfast, lunch or dinner)	6
602.	Spinach	5
808.	Eggs	2
702.	Citrus fruits (oranges, lemon, tangerines, etc.)	2
1104.	Ginger	3
1208.	Wine and spirits	2
803.	Pork including sausages and bacon	2
403.	Green peas, lentils	6
1206.	Bottled beer	2
705.	Wild fruits	5
1204.	Bottled/canned soft drinks (soda, juice,)	3
706.	Water melon	3
108.	Buns, cakes and biscuits, manadazi	4
613.	Brinjals (Biringanya)/Eggplant	3
204.	Arrow roots	6
105.	Millet flour	3
703.	Mangoes	3
301.	Sugar	7
603.	Cabbage	2
801.	Goat meat	2
104.	Millet	4
304.	Honey, syrups, jams, marmalade, jellies, canned fruits	3
701.	Ripe bananas	4
207.	Cocoyams	1
401.	Beans	9
707.	Pawpaw	1
201.	Cassava fresh	10
902.	Milk products	4
601.	Onions	8
206.	Yams	2
202.	Cassava dry/flour	4
111.	Maize flour	2
612.	Wild vegetables	8
614.	Beetroots	1
1101.	Salt	4
813.	Sardines/omena	11
106.	Rice	9
610.	Capsicum	2
608.	Green pepper	1
1299.	Other beverages	3
103.	Sorghum	6
1207.	Local brews (chang'aa, Busaa, Muratina)	5
810.	Smoked fish	2
1199.	Other spices	3
399.	Other sweets	1
1103.	Pepper	2
203.	Irish potato	11
1302.	Barbecued meat, chips, roast bananas	2
406.	Dolicos (Njahi)	2
605.	Canned, dried and wild vegetables	5
404.	Green grams	8
303.	Sweets	2
807.	Bushmeat	1
607.	Carrots	5
110.	Macaroni, spaghetti, indomie, noodles	3
609.	Butternuts	1
618.	Indigenous vegetables (Spider plant, mrenda, sagaa)	7
1210.	Bottled/satchet water (pure)	1

Summary Statistics: Min. 101.0; Max. 1303.0; StDev 359.92501514482865; Valid 383.0; Mean 587.19582245431

Variable Format: numeric

Notes: UNF:6:ZjPGmrAO1j1+fd35fqoNXQ==

Unit of measurement

f10415406 Location:

Value	Label	Frequency
5.	1/4KG Tin	16
7.	1KG Tin/packet	16
21.	No/Piece/packets	48
3.	Litres	16
17.	Glass	14
18.	Gorogoro	29
20.	Heap/bale	3
1.	Kilograms	74
12.	90kg bag	2
13.	Bowl	5
22.	Tray	1
6.	1/2KG Tin	11
16.	Debe	5
19.	Handful	8
4.	Millilitres	12
11.	50kg bag	5
2.	Grams	53
9.	20kg bucket	5
10.	25kg bag	8
8.	10kg bag/bucket	24
15.	Cup	9
14.	Bunch	14

Summary Statistics: Mean 9.01587301587302; StDev 7.496401393415791; Max. 22.0; Min. 1.0; Valid 378.0;

Variable Format: numeric

Notes: UNF:6:EteqsgEb98U5Zo5lPtJuDg==

Conversion factor in Kg

f10415406 Location:

Summary Statistics: StDev 10.38140319160707; Max. 98.0; Valid 384.0; Min. 0.0; Mean 3.3720182145185906

Variable Format: numeric

Notes: UNF:6:Z4MLNSIWCHKacr9T4FIz4Q==

household identification number

f10650023 Location:

Summary Statistics: Mean 4.865301687949427E7; Valid 1502.0; Min. 2.0; StDev 8.636854901785065E7; Max. 2.65322031E8

Variable Format: numeric

Notes: UNF:6:UvWCM8iXf98MdcTiWH/n7g==

County name

f10650023 Location:

Value	Label	Frequency
3.	Kajiado	501
1.	Vihiga	501
2.	Kisumu	500

Summary Statistics: Valid 1502.0; Min. 1.0; Mean 2.0; StDev 0.8170403682546913; Max. 3.0

Variable Format: numeric

Notes: UNF:6:bgxSwkVGxrXwyubk6xQAxw==

Sublocation

f10650023 Location:

Value	Label	Frequency
4.	Mwitubwi	44
14.	Olwalo	59
10.	Masana	24
17.	Loolopon	162
16.	Upper Kadiang'a	145
20.	Ilmedoti	81
11.	Jimo East	108
18.	Enkariak Ronkena	77
3.	Emanda	52
5.	Ebunangwe	61
15.	Jimo West	45
8.	Wanondi	32
9.	Mambai	46
12.	Awach	62
1.	Vigulu	103
13.	Agoro East	81
21.	Imisigiyo	23
6.	Essunza	12
2.	Itumbu	94
23.	Olchorro	81
22.	Entonet	64
19.	Kimana	13
7.	Emmaloba	33

Summary Statistics: Valid 1502.0; Max. 23.0; Mean 12.455392809587261; StDev 6.716120162127819; Min. 1.0

Variable Format: numeric

Notes: UNF:6:Hs6YA/X7pVhykFasaPT2dw==

village ID

f10650023 Location:

Summary Statistics: Mean 66.8002663115847; Min. 11.0; Valid 1502.0; StDev 31.668398469471676; Max. 119.0

Variable Format: numeric

Notes: UNF:6:SGFf97GMeOnJy7WTSHz7pQ==

Do you agree to participate?

f10650023 Location:

Value	Label	Frequency	Text
1.	yes	1502
0.	no	0

Summary Statistics: StDev 0.0; Max. 1.0; Min. 1.0; Valid 1502.0; Mean 1.0

Variable Format: numeric

Notes: UNF:6:raPz7MDbZpsEUwLVo0zWnQ==

Treatment status

f10650023 Location:

Value	Label	Frequency	Text
0.	Control	750
1.	Treated	752

Summary Statistics: Min. 0.0; StDev 0.5001660844885865; Mean 0.5006657789613834; Valid 1502.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:ggtzmLrzMrnahe4e8A+5bQ==

Household size

f10650023 Location:

Summary Statistics: Valid 1502.0; Mean 5.440745672436754; Max. 18.0; StDev 2.4546827218715155; Min. 1.0

Variable Format: numeric

Notes: UNF:6:JLiTcANVd0OWdthc6Pap8w==

How important are pollinators in increasing the yield of crops

f10650023 Location:

Value	Label	Frequency
2.	Not important	200
4.	Important	394
5.	Very important	349
3.	Neutral	93
-99.	Don’t know	138
1.	Not important at all	328

Summary Statistics: Max. 5.0; Valid 1502.0; Min. -99.0; StDev 29.559580517702265; Mean -6.2143808255658985

Variable Format: numeric

Notes: UNF:6:srrSBWYcYWnnTt20V4oFbg==

EQ0. Which crops do you grow that require insect pollination?

f10650023 Location:

Variable Format: character

Notes: UNF:6:MWc/UUoUzuwGHdp1MWS4Gg==

HQ0.Did the farm household hire workers for any agricultural activities during t

f10650023 Location:

Value	Label	Frequency	Text
0.	no	753
1.	yes	749

Summary Statistics: StDev 0.5001647542578681; Valid 1502.0; Min. 0.0; Max. 1.0; Mean 0.4986684420772302;

Variable Format: numeric

Notes: UNF:6:n+LtCsEOtBg37upTJuvICA==

Number of hired labour in the last 12 months

f10650023 Location:

Summary Statistics: StDev 1.834210704672104; Min. 1.0; Valid 749.0; Max. 10.0; Mean 2.688918558077437

Variable Format: numeric

Notes: UNF:6:iCGPxXDZO2q1adtDsLKPvA==

Did you use human waste in your farm in the last 12 months?

f10650023 Location:

Value	Label	Frequency	Text
1.	yes	12
0.	no	1490

Summary Statistics: Valid 1502.0; Max. 1.0; StDev 0.08905502805022208; Min. 0.0; Mean 0.007989347536617978

Variable Format: numeric

Notes: UNF:6:MUGaOeIiHlpyIMMXvTRw4w==

Date/time submitted

f10650023 Location:

Variable Format: character

Notes: UNF:6:D8V8IBN2b645k0pl/vbsWw==

Start time

f10650023 Location:

Variable Format: character

Notes: UNF:6:UCrIySVNz+tu6h8BlhxZbw==

End time

f10650023 Location:

Variable Format: character

Notes: UNF:6:Vl3zSgC7POzdZ2j7Mg/Svw==

Date of the survey

f10650023 Location:

Variable Format: character

Notes: UNF:6:V0Q3uAk5WC5lSimBHxoySA==

Household Identification Number

f10421875 Location:

Summary Statistics: Min. 2.0; Valid 1056.0; Max. 2.65322031E8; Mean 3.4621394369317494E7; StDev 6.651975177649495E7

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421875 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

County where worker worked

f10421875 Location:

Value	Label	Frequency
1.	Vihiga	414
2.	Kisumu	221
3.	Kajiado	421

Summary Statistics: Max. 3.0; StDev 0.8896208247528763; Min. 1.0; Mean 2.0066287878787805; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:CWLubFYNs1FSEPYAyKAtVg==

Sublocation where worker worked

f10421875 Location:

Value	Label	Frequency
21.	Imisigiyo	3
11.	Jimo East	59
22.	Entonet	21
3.	Emanda	32
12.	Awach	21
16.	Upper Kadiang'a	51
4.	Mwitubwi	28
23.	Olchorro	6
15.	Jimo West	20
10.	Masana	44
19.	Kimana	34
14.	Olwalo	27
17.	Loolopon	231
1.	Vigulu	91
8.	Wanondi	17
6.	Essunza	1
18.	Enkariak Ronkena	100
2.	Itumbu	74
9.	Mambai	62
7.	Emmaloba	25
20.	Ilmedoti	26
5.	Ebunangwe	40
13.	Agoro East	43

Summary Statistics: Max. 23.0; Min. 1.0; StDev 6.4111958657141965; Mean 11.810606060606105; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:pbmjIwi/cLIoBs9OTOFEDQ==

village ID

f10421875 Location:

Summary Statistics: Max. 119.0; Mean 67.4270833333331; Min. 11.0; StDev 30.562567096105507; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:l/MoPJRC0jwvpOnTcwUBBg==

BQ0. Did you work for ${household_name} farm during the 2022/2023 agricultural

f10421875 Location:

Value	Label	Frequency	Text
0.	no	0
1.	yes	1056

Summary Statistics: Mean 1.0; Max. 1.0; Valid 1056.0; StDev 0.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:G6PqBhuLrD37IxansjW2kA==

BQ1. How old are you in completed years?

f10421875 Location:

Summary Statistics: Min. 15.0; StDev 12.985434917574539; Mean 39.277462121212125; Valid 1056.0; Max. 75.0

Variable Format: numeric

Notes: UNF:6:HAvdmolewZGUrXyMzbbQcQ==

BQ2. What is your sex?

f10421875 Location:

Value	Label	Frequency	Text
1.	Female	517
0.	Male	539

Summary Statistics: Min. 0.0; Valid 1056.0; Max. 1.0; StDev 0.5001283405587152; Mean 0.48958333333333365

Variable Format: numeric

Notes: UNF:6:WuNT416ySnMeF04AckMrhg==

BQ3. What is your highest level of education attained?

f10421875 Location:

Value	Label	Frequency
2.	PRIMARY NOT COMPLETED	362
4.	SECONDARY	129
5.	TERTIARY	16
1.	NEVER ATTENDED	103
3.	PRIMARY COMPLETED	446

Summary Statistics: Valid 1056.0; Mean 2.6145833333333326; Max. 5.0; Min. 1.0; StDev 0.8762995314835901;

Variable Format: numeric

Notes: UNF:6:oZnbhng+EzU8nXJujL7BoQ==

BQ4. Have you attended school in the last 12 months?

f10421875 Location:

Value	Label	Frequency	Text
0.	no	914
1.	yes	39

Summary Statistics: Min. 0.0; Valid 953.0; Max. 1.0; Mean 0.04092339979013644; StDev 0.19821680740968925

Variable Format: numeric

Notes: UNF:6:vWVyLwUHUuSJLcy1X3XCEA==

BQ5. Which activities did you engage in on the farm, in the last 12 months?

f10421875 Location:

Variable Format: character

Notes: UNF:6:JAjjbQg1GpZzaepA3jhKrA==

Farm activity performed: Land preparation

f10421875 Location:

Value	Label	Frequency	Text
1.	yes	674
0.	no	382

Summary Statistics: Valid 1056.0; Max. 1.0; Mean 0.6382575757575745; StDev 0.4807324525531994; Min. 0.0

Variable Format: numeric

Notes: UNF:6:19Kwk3j6zI6ONKU65VoOjw==

Farm activity performed: Planting

f10421875 Location:

Value	Label	Frequency	Text
1.	yes	911
0.	no	145

Summary Statistics: Min. 0.0; Valid 1056.0; StDev 0.34433803808914604; Max. 1.0; Mean 0.8626893939393939;

Variable Format: numeric

Notes: UNF:6:Ur6WZLmxLeJ3tAaTy1AtkQ==

Farm activity performed: Weeding

f10421875 Location:

Value	Label	Frequency	Text
0.	no	78
1.	yes	978

Summary Statistics: Valid 1056.0; Min. 0.0; Mean 0.9261363636363636; Max. 1.0; StDev 0.2616727748600791

Variable Format: numeric

Notes: UNF:6:aXPejpJxN+QbB/r4W4dfjg==

Farm activity performed: Fertilizer

f10421875 Location:

Value	Label	Frequency	Text
1.	yes	389
0.	no	667

Summary Statistics: Max. 1.0; StDev 0.4825913448734586; Mean 0.3683712121212119; Valid 1056.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:6xeMuwCtf6kVqJAySnJUmA==

Farm activity performed: Pruning

f10421875 Location:

Value	Label	Frequency	Text
0.	no	982
1.	yes	74

Summary Statistics: Min. 0.0; Mean 0.07007575757575746; Max. 1.0; Valid 1056.0; StDev 0.2553956023243713

Variable Format: numeric

Notes: UNF:6:2i22f32zoB7KO98H22mxRg==

Farm activity performed: Spraying chemicals

f10421875 Location:

Value	Label	Frequency	Text
0.	no	854
1.	yes	202

Summary Statistics: Mean 0.1912878787878799; Max. 1.0; StDev 0.3935015352949445; Min. 0.0; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:FsEvXd7lKX8chrSCavkGrA==

Farm activity performed: Picking/harvesting

f10421875 Location:

Value	Label	Frequency	Text
0.	no	422
1.	yes	634

Summary Statistics: StDev 0.4900525636618142; Max. 1.0; Mean 0.6003787878787872; Valid 1056.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:14oBNQZFNOSuf9/DAwgHzA==

Farm activity performed: Processing crops

f10421875 Location:

Value	Label	Frequency	Text
1.	yes	118
0.	no	938

Summary Statistics: StDev 0.3151985666773339; Min. 0.0; Mean 0.11174242424242421; Max. 1.0; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:aT4t0e/1XPTqoWCSoiNKHQ==

Farm activity performed: Other activities not directly related to production

f10421875 Location:

Value	Label	Frequency	Text
0.	no	1018
1.	yes	38

Summary Statistics: Valid 1056.0; Max. 1.0; StDev 0.18634060379663636; Mean 0.035984848484848474; Min. 0.0

Variable Format: numeric

Notes: UNF:6:s71hOszzWxYAryNzGuRfpw==

Household Identification Number

f10421877 Location:

Summary Statistics: Valid 1056.0; Mean 3.4621394369317494E7; StDev 6.651975177649495E7; Min. 2.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421877 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

CQ1a. How long did you work in the farm in the last 12 months agricultural seaso

f10421877 Location:

Summary Statistics: Min. 1.0; Mean 10.395833333333329; StDev 14.549557139452244; Max. 144.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:191eiolBTw9xbHFOSCTnlw==

CQ1b. What was the unit for the period worked

f10421877 Location:

Value	Label	Frequency
1.	Days	345
2.	Weeks	73
3.	Months	638

Summary Statistics: Max. 3.0; Mean 2.27746212121212; StDev 0.9244973520860168; Min. 1.0; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:fPFPp9b2ZplagPxQrTcUww==

CQ2. What type of agreement did you have while working on the farm?

f10421877 Location:

Value	Label	Frequency
2.	Written temporary	5
1.	Written/parmanent/regular	1
4.	Verbal temporary	948
5.	No specific agreement	72
3.	Verbal parmanent/regular	30

Summary Statistics: Mean 4.027462121212121; Min. 1.0; Max. 5.0; StDev 0.3513057545230245; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:5NuEZ13vTbMGtiGujx/o1A==

CQ3. Do you understand the written contract/agreement you received/agreed to?

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	6
0.	no	0

Summary Statistics: Mean 1.0; Valid 6.0; StDev 0.0; Min. 1.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:gxU0mQgJax+vIBYJdJAHbQ==

CQ4. Does the received/agreed contract match with the description of the promise

f10421877 Location:

Value	Label	Frequency	Text
0.	no	45
1.	yes	939

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.9542682926829268; StDev 0.2090088832963267; Valid 984.0

Variable Format: numeric

Notes: UNF:6:T7+BjNZ6Hkauhikpgo3wyA==

CQ45a. How much was agreed that you would receive for your work per [unit] in th

f10421877 Location:

Summary Statistics: StDev 2495.2368850482744; Mean 565.0170454545464; Min. 0.0; Max. 65000.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:l4hA5i9hxW5o1r6qlAShGQ==

CQ5b. For what period was this amount?

f10421877 Location:

Value	Label	Frequency
3.	Months	38
2.	Weeks	11
1.	Days	1007

Summary Statistics: Max. 3.0; StDev 0.3843285353619911; Mean 1.0823863636363638; Valid 1056.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:GmaokAxrqTmw86BfXj44pw==

CQ6. Does the farmer/ employer deduct any amounts from your payment before you g

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	8
0.	no	1048

Summary Statistics: Max. 1.0; Mean 0.007575757575757552; StDev 0.08674959300009188; Min. 0.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:262CN2jAuVQhunWv1Uj4gA==

CQ7a. How much did you actually get paid per [unit]? Please indicate the value a

f10421877 Location:

Summary Statistics: StDev 12145.674053517396; Min. 150.0; Max. 35000.0; Valid 8.0; Mean 5196.25;

Variable Format: numeric

Notes: UNF:6:Sf66dO7AlfkzzpbV3msNEA==

CQ7b. For what period was the amount

f10421877 Location:

Value	Label	Frequency
3.	Months	2
1.	Days	6
2.	Weeks	0

Summary Statistics: StDev 0.9258200997725514; Valid 8.0; Mean 1.5; Max. 3.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:9QF3rAUxSkpzAGxguyWQ6Q==

CQ8. Did your employer give you the option to be paid into the bank account, or

f10421877 Location:

Value	Label	Frequency
2.	No	612
3.	I have no bank account/mobile money account	53
1.	Yes	391

Summary Statistics: Mean 1.6799242424242427; StDev 0.5641874532520255; Max. 3.0; Valid 1056.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:1E9vHlZNKoK8at7Lut4JSA==

CQ9. Does your employer have access to your bank account or mobile money account

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	24
0.	no	979

Summary Statistics: Mean 0.023928215353938288; Min. 0.0; Valid 1003.0; StDev 0.15290181457949367; Max. 1.0

Variable Format: numeric

Notes: UNF:6:V09irVNBJyoEjdQkAodKgA==

CQ10. Does your employer withhold money from you to force you to work on this wo

f10421877 Location:

Value	Label	Frequency	Text
0.	no	1006
1.	yes	50

Summary Statistics: Max. 1.0; StDev 0.21248378975266463; Mean 0.04734848484848484; Min. 0.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:bWAAwAD12zA/w8CstYXhXw==

CQ11. Did you or someone you know had/have to pay a fee or do a favor to the per

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	19
0.	no	1037

Summary Statistics: Valid 1056.0; Max. 1.0; Mean 0.017992424242424317; StDev 0.13298663275802058; Min. 0.0

Variable Format: numeric

Notes: UNF:6:kYtKpx6caXAsC1HuKmDhfQ==

CQ12. Who did you or someone you know have to pay a fee or do a favor to get thi

f10421877 Location:

Variable Format: character

Notes: UNF:6:WpLhv2OvdgbzM4a6dvupdg==

Person who was paid favor: Family

f10421877 Location:

Value	Label	Frequency	Text
0.	no	15
1.	yes	4

Summary Statistics: Valid 19.0; Mean 0.21052631578947367; StDev 0.41885390829169555; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:qxU0cJLEEdpqgvi05ingdQ==

Person who was paid favor: Recruiter/person who helped you find this job

f10421877 Location:

Value	Label	Frequency	Text
0.	no	7
1.	yes	12

Summary Statistics: Mean 0.631578947368421; StDev 0.4955946277833521; Min. 0.0; Max. 1.0; Valid 19.0;

Variable Format: numeric

Notes: UNF:6:w/3WvsjQNXkVxbmagrweGQ==

Person who was paid favor: Employer

f10421877 Location:

Value	Label	Frequency	Text
0.	no	16
1.	yes	3

Summary Statistics: StDev 0.3746343246326776; Min. 0.0; Mean 0.15789473684210523; Valid 19.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:mn7KBzqqoIOkBR2EHtUkeA==

CQ13. Were you given a loan/favor from your employer or recruiter that you have

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	67
0.	no	989

Summary Statistics: Max. 1.0; Min. 0.0; Valid 1056.0; StDev 0.24388065807720957; Mean 0.06344696969696983;

Variable Format: numeric

Notes: UNF:6:vc+HfxP/Y5SiQD1gl/Zyyw==

CQ14. Was the loan/favor used to convince you to do work that you did not want t

f10421877 Location:

Value	Label	Frequency	Text
1.	yes	8
0.	no	59

Summary Statistics: Min. 0.0; StDev 0.32670940009765026; Mean 0.11940298507462688; Valid 67.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:novpmtKz8gGMio3qmqPlgA==

CQ15. In case of a loan, What is the total duration of the loan, from the start

f10421877 Location:

Summary Statistics: Min. 0.0; StDev 7.497775940401588; Max. 30.0; Valid 67.0; Mean 5.582089552238806

Variable Format: numeric

Notes: UNF:6:IFZMZAjGvIvOyPARkSifgw==

CQ15b. The measurement unit for the loan duration

f10421877 Location:

Value	Label	Frequency	Text
1.	Months	28
2.	Days	30

Summary Statistics: Min. 1.0; Mean 1.5172413793103448; StDev 0.5040669445356467; Max. 2.0; Valid 58.0

Variable Format: numeric

Notes: UNF:6:GwDEOrNicl0GX4hC8EbXPw==

Household Identification Number

f10421878 Location:

Summary Statistics: StDev 6.651975177649495E7; Valid 1056.0; Min. 2.0; Mean 3.4621394369317494E7; Max. 2.65322031E8

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421878 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

DQ1. In addition to the pay for your work, did you receive food, accomodation or

f10421878 Location:

Value	Label	Frequency	Text
1.	yes	830
0.	no	226

Summary Statistics: Mean 0.785984848484848; Valid 1056.0; Max. 1.0; Min. 0.0; StDev 0.4103317069430773

Variable Format: numeric

Notes: UNF:6:apfnWZr1COmqqw3nNWv9Gw==

DQ2. Which benefits did you receive?

f10421878 Location:

Variable Format: character

Notes: UNF:6:T/GPRAKAML+o3X5MA/Zlhg==

DQ5. How many weeks of paid maternity/paternity leave are you entitled to?

f10421878 Location:

Summary Statistics: Max. 200.0; Valid 1056.0; Mean 0.261363636363637; StDev 6.2383817044478596; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:XdmxcW5etH8NpN4a8DXpfQ==

DQ6a. Is your work with ${household_name} , in the same village as where you li

f10421878 Location:

Value	Label	Frequency	Text
1.	yes	902
0.	no	154

Summary Statistics: Max. 1.0; StDev 0.3531062789498501; Min. 0.0; Mean 0.8541666666666669; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:jE4QlNOGeMzJvNd3nhUsTw==

DQ6b. Did the employer promise/give you a place to live?

f10421878 Location:

Value	Label	Frequency	Text
1.	yes	44
0.	no	1012

Summary Statistics: Min. 0.0; Max. 1.0; Valid 1056.0; Mean 0.041666666666666796; StDev 0.19992099545415729;

Variable Format: numeric

Notes: UNF:6:3bKFXK6smzTPUtV5gtD1Xg==

DQ7. Does the actual place you live match with the description of the promised/e

f10421878 Location:

Value	Label	Frequency
3.	Did not see the promised place	2
1.	Yes	39
2.	No	3

Summary Statistics: StDev 0.47949497745420205; Max. 3.0; Valid 44.0; Min. 1.0; Mean 1.1590909090909092

Variable Format: numeric

Notes: UNF:6:eSpEIG8POpFSq37ZucbzOA==

DQ8. Was it promised to you that you would get a certain legal status or residen

f10421878 Location:

Value	Label	Frequency
1.	Yes	3
3.	Not applicable	359
2.	No	694

Summary Statistics: Valid 1056.0; Mean 2.3371212121212124; StDev 0.47892538524303147; Max. 3.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:WZzkzfSL8QZmkxn03wG7ew==

DQ9. Was this promise met?

f10421878 Location:

Value	Label	Frequency	Text
1.	yes	2
0.	no	1

Summary Statistics: StDev 0.5773502691896258; Min. 0.0; Valid 3.0; Max. 1.0; Mean 0.6666666666666666

Variable Format: numeric

Notes: UNF:6:PcEdIzL1/8PPLogW3bjcHQ==

Household Identification Number

f10421873 Location:

Summary Statistics: Mean 3.602283133333399E7; Min. 2.0; StDev 7.164189013365169E7; Valid 1389.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:JgHi0UPb4xmrQ8HhPdOxqg==

Worker ID

f10421873 Location:

Variable Format: character

Notes: UNF:6:QvDVMxmG5cpydB7LXvh5jQ==

Benefit ID

f10421873 Location:

Summary Statistics: Valid 1389.0; Mean 3.23038156947444; Min. 1.0; Max. 88.0; StDev 5.981978091400911

Variable Format: numeric

Notes: UNF:6:2Z3n9EpbgFA8SWp15WjtbQ==

DQ3. How much is the estimated total value of what you received for ${benefitna

f10421873 Location:

Summary Statistics: Max. 72000.0; Mean 2173.3786897048303; StDev 4870.121770664647; Valid 1389.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:9ydWfZr2+hg3KsWaJUGNAA==

Household Identification Number

f10421876 Location:

Summary Statistics: Valid 1056.0; StDev 6.651975177649495E7; Mean 3.4621394369317494E7; Max. 2.65322031E8; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421876 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

EQ1. If you have a contract, does your contract specify the number of hours you

f10421876 Location:

Value	Label	Frequency
2.	No	196
3.	No contract	364
1.	Yes	429

Summary Statistics: Mean 1.93427704752275; Min. 1.0; StDev 0.8934806659883098; Max. 3.0; Valid 989.0;

Variable Format: numeric

Notes: UNF:6:D9Zi+PmYA/rBD7FQiVmmcQ==

EQ2. Did you work longer than specified in your contract or what was initially a

f10421876 Location:

Value	Label	Frequency	Text
0.	no	637
1.	yes	419

Summary Statistics: Mean 0.3967803030303021; Min. 0.0; StDev 0.48946150217768286; Max. 1.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:r2OMD22bcYIMeyDAdoZEfA==

EQ3. How often did you work for 7 days per week in the last 12 months?

f10421876 Location:

Value	Label	Frequency
5.	1 to 6 weeks per year	174
3.	12 weeks or more per year	9
4.	6 to 12 weeks per year	34
1.	Every week	45
6.	Never	757
2.	Almost every week	37

Summary Statistics: Min. 1.0; StDev 1.2759879294241732; Max. 6.0; Mean 5.392045454545455; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:FF3s3fyLMA3WrRYqNK+ZZA==

EQ4. How often did you work more than 56 hours per week (8 hour X 7 days)?

f10421876 Location:

Value	Label	Frequency
2.	Almost every week	22
1.	Every week	19
5.	1 to 6 weeks per year	103
6.	Never	894
3.	12 weeks or more per year	5
4.	6 to 12 weeks per year	13

Summary Statistics: Valid 1056.0; StDev 0.9367390635840274; Max. 6.0; Mean 5.690340909090909; Min. 1.0

Variable Format: numeric

Notes: UNF:6:G3xpaQQfyMNxdE5KjQg5Hw==

EQ5. How many rest days (weekend or other days when you don't work) per week did

f10421876 Location:

Summary Statistics: Min. 0.0; Mean 1.1325757575757573; Valid 1056.0; StDev 0.8349245185053139; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:Mq7ISGLERC+Y3d5rBYK5mw==

EQ6. Did you work on Public Holidays or Weekends [however the weekend is defined

f10421876 Location:

Value	Label	Frequency	Text
0.	no	463
1.	yes	593

Summary Statistics: Valid 1056.0; StDev 0.49643186846607645; Max. 1.0; Mean 0.5615530303030297; Min. 0.0

Variable Format: numeric

Notes: UNF:6:aGVNa6M66KB5n9NkInSkwg==

EQ7. Did you receive EXTRA PAY for working during Public Holidays or Weekends?

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	55
0.	no	834

Summary Statistics: Valid 889.0; StDev 0.24104992832935462; Max. 1.0; Min. 0.0; Mean 0.06186726659167599

Variable Format: numeric

Notes: UNF:6:/onWsvO4MMNsdGMAL8i5Uw==

EQ8. How much EXTRA PAY did you receive?

f10421876 Location:

Summary Statistics: Mean 236.90909090909088; Valid 55.0; Max. 2500.0; StDev 363.842012556288; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:DNx//duhjIHPuF9NbBbVSA==

EQ8b. Unit for pay

f10421876 Location:

Value	Label	Frequency	Text
2.	Days	38
1.	Hours	17

Summary Statistics: Min. 1.0; Mean 1.690909090909091; StDev 0.4663779770834141; Valid 55.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:rv9ssaBdPv4JNgXnfSNLVw==

EQ9. Have you been paid for all the work you have performed in the last 12 month

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	886
0.	no	170

Summary Statistics: Min. 0.0; Valid 1056.0; StDev 0.367691112583085; Mean 0.839015151515151; Max. 1.0

Variable Format: numeric

Notes: UNF:6:WNuucrvJSMVoupt6iF9kIQ==

EQ10. How often do you work extra time or longer than your normal working hours?

f10421876 Location:

Value	Label	Frequency
6.	Never	533
5.	1 to 6 weeks per year	372
2.	Almost every week	71
4.	6 to 12 weeks per year	36
3.	12 weeks or more per year	6
1.	Every week	38

Summary Statistics: Valid 1056.0; Mean 5.113636363636366; Min. 1.0; StDev 1.3157318747455464; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:eGacUNLnWfJXzQ/8IjQqpw==

EQ11a. On weeks/days where you worked extra or longer than your normal working d

f10421876 Location:

Summary Statistics: StDev 17.605863707318065; Mean 2.943181818181822; Valid 1056.0; Min. 0.0; Max. 500.0

Variable Format: numeric

Notes: UNF:6:ZkPLW2Cz3eAR43wQDI54Tg==

EQ11b. Unit

f10421876 Location:

Value	Label	Frequency	Text
1.	Hours	810
2.	Days	246

Summary Statistics: Max. 2.0; Mean 1.2329545454545456; Valid 1056.0; StDev 0.4229138168824965; Min. 1.0

Variable Format: numeric

Notes: UNF:6:PNPbOrUNUei8Hk9pTHtd6w==

EQ12. Did you receive extra pay for the extra days/hours you worked?

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	389
0.	no	667

Summary Statistics: Valid 1056.0; Min. 0.0; Max. 1.0; StDev 0.48259134487346045; Mean 0.3683712121212111

Variable Format: numeric

Notes: UNF:6:I+tdy5smxCNx41jCFPonMQ==

EQ13. What amount did you receive for work per extra day/hour? (KES)

f10421876 Location:

Summary Statistics: StDev 248.18393617392093; Max. 6000.0; Mean 55.36174242424262; Min. 0.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:EOoHiqYBnYKsTwmoi9uSmA==

EQ14. Are there any risks for you or people around you if deciding to leave your

f10421876 Location:

Value	Label	Frequency
1.	Yes	28
3.	Not sure	24
2.	No	1004

Summary Statistics: Max. 3.0; Min. 1.0; Valid 1056.0; Mean 1.996212121212121; StDev 0.22197913843496836

Variable Format: numeric

Notes: UNF:6:I7Gl++1BskhsBgp/h+wszw==

EQ15. What are the risks if you decide to leave your employer?

f10421876 Location:

Value	Label	Frequency
2.	Threat to oneself	13
3.	Threat against family	14
1.	Penalty	1

Summary Statistics: Valid 28.0; Mean 2.4642857142857144; Max. 3.0; StDev 0.5762035942360842; Min. 1.0

Variable Format: numeric

Notes: UNF:6:31uCRyOJCSJjHesUVUJM7w==

EQ16. Are you free to terminate your work contract/agreement should you want to

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	1047
0.	no	9

Summary Statistics: StDev 0.09196792895849525; Max. 1.0; Min. 0.0; Valid 1056.0; Mean 0.9914772727272728

Variable Format: numeric

Notes: UNF:6:jxSMrRNze86vvAFeJYgNRw==

EQ17. Why are you not able to terminate your work contract should you want to le

f10421876 Location:

Value	Label	Frequency	Text
2.	Risk for threats	5
1.	Penalty - it is in my contract that I cannot stop working at the employer	4

Summary Statistics: Max. 2.0; StDev 0.5270462766947299; Min. 1.0; Valid 9.0; Mean 1.5555555555555556

Variable Format: numeric

Notes: UNF:6:sNnewKiICVHOQwtwqkvGkA==

EQ18. Does your employer keep your original ID documents, other identity papers

f10421876 Location:

Value	Label	Frequency
3.	Not applicable	106
1.	Yes	10
2.	No	940

Summary Statistics: Min. 1.0; Valid 1056.0; Mean 2.0909090909090913; StDev 0.31887350189552727; Max. 3.0

Variable Format: numeric

Notes: UNF:6:28vd7nrrlaeK20kXGgjZ2Q==

EQ19. Why does your employer keep these documents for you?

f10421876 Location:

Variable Format: character

Notes: UNF:6:+5OHxXF7mV1rwZDR0xHTUg==

For legal reasons

f10421876 Location:

Value	Label	Frequency	Text
0.	no	6
1.	yes	4

Summary Statistics: Valid 10.0; Max. 1.0; Mean 0.4; StDev 0.5163977794943222; Min. 0.0

Variable Format: numeric

Notes: UNF:6:dZGkLpKLMS1tvMTR19Ux0w==

Because they have a safe to keep documents secure

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	2
0.	no	8

Summary Statistics: Mean 0.20000000000000004; Max. 1.0; StDev 0.4216370213557839; Min. 0.0; Valid 10.0

Variable Format: numeric

Notes: UNF:6:OmBxoXqOzQ5qJsEVOF7XaQ==

To restrict me in my mobility

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	0
0.	no	10

Summary Statistics: Valid 10.0; StDev 0.0; Min. 0.0; Max. 0.0; Mean 0.0;

Variable Format: numeric

Notes: UNF:6:Qx19VoGPMwZLiYdGU1Vyhg==

To protect the employer against wrong doing I may engage in

f10421876 Location:

Value	Label	Frequency	Text
1.	yes	5
0.	no	5

Summary Statistics: StDev 0.5270462766947299; Valid 10.0; Min. 0.0; Max. 1.0; Mean 0.5;

Variable Format: numeric

Notes: UNF:6:xdkfdIwMaQYNqvG6CDGUwg==

Household Identification Number

f10421879 Location:

Summary Statistics: Valid 1056.0; Max. 2.65322031E8; Min. 2.0; StDev 6.651975177649495E7; Mean 3.4621394369317494E7

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421879 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

FQ1. Are the actual tasks at ' ${household_name} ' comparable to your expectati

f10421879 Location:

Value	Label	Frequency	Text
0.	no	81
1.	yes	975

Summary Statistics: Max. 1.0; StDev 0.2662481681278802; Mean 0.9232954545454545; Valid 1056.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:dxCQHCNOKOLsnWCOZe3Vzg==

FQ2. Do you have to perform any activities to which you do not agree?

f10421879 Location:

Value	Label	Frequency	Text
0.	no	925
1.	yes	131

Summary Statistics: Mean 0.12405303030303017; StDev 0.3297982336372358; Min. 0.0; Max. 1.0; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:+7D9tuCQSojewhBLCfF66g==

FQ3. In case your employer or manager would ask you or someone working with you

f10421879 Location:

Value	Label	Frequency	Text
0.	no	234
1.	yes	822

Summary Statistics: Mean 0.7784090909090909; Valid 1056.0; StDev 0.4155139879620898; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:wdlSZVmaWs6LYxwIDdsp3w==

FQ4. Would your employer or managers ever use an unfriendly or violent tone of v

f10421879 Location:

Value	Label	Frequency	Text
0.	no	813
1.	yes	243

Summary Statistics: Min. 0.0; Valid 1056.0; StDev 0.42110482801086707; Mean 0.23011363636363613; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:Px2zkIvxRCGmSZskMdP5cA==

FQ5.How often does this happen?

f10421879 Location:

Value	Label	Frequency
2.	Not so often	134
1.	Regularly	68
3.	Just once	41

Summary Statistics: Mean 1.8888888888888886; Min. 1.0; Valid 243.0; Max. 3.0; StDev 0.6618281717527742;

Variable Format: numeric

Notes: UNF:6:9FrB9aTyjXv7KbzBT56j0A==

FQ6. Has your employer ever threatened or been violent to you or someone working

f10421879 Location:

Value	Label	Frequency	Text
0.	no	947
1.	yes	109

Summary Statistics: StDev 0.30438976795288547; Valid 1056.0; Min. 0.0; Max. 1.0; Mean 0.10321969696969681;

Variable Format: numeric

Notes: UNF:6:USotVgcQ236Lw8vwlbhCgw==

FQ7. How often does this happen?

f10421879 Location:

Value	Label	Frequency
2.	Not so often	68
3.	Just once	20
1.	Regularly	21

Summary Statistics: Mean 1.9908256880733943; Min. 1.0; StDev 0.616071978178667; Valid 109.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:39kt0MaC0XF5/5dgsTf+ew==

FQ8. At work, are you free to take a short break whenever you want? For instance

f10421879 Location:

Value	Label	Frequency	Text
0.	no	54
1.	yes	1002

Summary Statistics: StDev 0.22038018929302458; Max. 1.0; Valid 1056.0; Min. 0.0; Mean 0.9488636363636364

Variable Format: numeric

Notes: UNF:6:cRUZlPJ7pdHoV3oDQBDB0Q==

FQ9. Are you free to leave the work space after your work has ended?

f10421879 Location:

Value	Label	Frequency	Text
0.	no	55
1.	yes	1001

Summary Statistics: StDev 0.2223003746197546; Mean 0.9479166666666665; Valid 1056.0; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:xFE38Md9xw3ZKnvL4y5xZA==

FQ10. Are you free to communicate with other workers during or after working tim

f10421879 Location:

Value	Label	Frequency	Text
0.	no	22
1.	yes	1034

Summary Statistics: Valid 1056.0; Min. 0.0; Mean 0.9791666666666667; StDev 0.1428938115882061; Max. 1.0

Variable Format: numeric

Notes: UNF:6:O3BqZzg/CZtD1GyiKxx/0A==

FQ11. Does your employer control your after work activities?

f10421879 Location:

Value	Label	Frequency	Text
0.	no	1033
1.	yes	23

Summary Statistics: Mean 0.021780303030303014; Min. 0.0; Max. 1.0; Valid 1056.0; StDev 0.14603464183679635

Variable Format: numeric

Notes: UNF:6:D0TChcbF08RpBfV8Jb6OYQ==

Household Identification Number

f10421880 Location:

Summary Statistics: Valid 1056.0; Max. 2.65322031E8; Min. 2.0; Mean 3.4621394369317494E7; StDev 6.651975177649495E7

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421880 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

GQ1. Have you ever been in a situation where a co-worker, supervisor, employer h

f10421880 Location:

Value	Label	Frequency
5.	Refuse to answer	1
2.	Once or twice in a year	156
3.	Every month	36
1.	Never	818
4.	Multiple times per month	45

Summary Statistics: StDev 0.7500101727492337; Valid 1056.0; Min. 1.0; Mean 1.347537878787879; Max. 5.0

Variable Format: numeric

Notes: UNF:6:OnWwggFVHoiLE2YItmsSIA==

GQ2. Have you ever been in a situation where a co-worker, supervisor, employer h

f10421880 Location:

Value	Label	Frequency
1.	Never	911
2.	Once or twice in a year	100
5.	Refuse to answer	2
3.	Every month	23
4.	Multiple times per month	20

Summary Statistics: Mean 1.202651515151515; Max. 5.0; StDev 0.5846638567267749; Valid 1056.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:+fq/KvwJO/wyl86P5cBK0Q==

GQ3. Have you ever been in a situation where a co-worker, supervisor, employer h

f10421880 Location:

Value	Label	Frequency
4.	Multiple times per month	11
5.	Refuse to answer	3
1.	Never	971
2.	Once or twice in a year	67
3.	Every month	4

Summary Statistics: Valid 1056.0; Mean 1.1136363636363638; StDev 0.45286202701325495; Max. 5.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:oatV9yv/Zz7INIyvwH3t5A==

GQ4. Have you ever been in a situation where a co-worker, supervisor, employer h

f10421880 Location:

Value	Label	Frequency
1.	Never	1002
4.	Multiple times per month	5
5.	Refuse to answer	2
2.	Once or twice in a year	43
3.	Every month	4

Summary Statistics: Valid 1056.0; Mean 1.0700757575757573; Min. 1.0; Max. 5.0; StDev 0.3521287920611972;

Variable Format: numeric

Notes: UNF:6:o5TuAS9OGkwxJkGUs+fnaQ==

GQ5. Have you ever been in a situation where a co-worker, supervisor, employer h

f10421880 Location:

Value	Label	Frequency
4.	Multiple times per month	3
5.	Refuse to answer	3
3.	Every month	1
2.	Once or twice in a year	20
1.	Never	1029

Summary Statistics: Mean 1.0407196969696968; StDev 0.30361027187024; Max. 5.0; Min. 1.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:i6AzrzvtTuenKRd/h0NfHw==

GQ6. Have you reported any incidents of sexual or non-sexua unwanted comments or

f10421880 Location:

Value	Label	Frequency
1.	Yes, all of them	10
2.	Yes, some of them	17
3.	No (None of them)	238
4.	No incident happened	791

Summary Statistics: Min. 1.0; StDev 0.5417477209321162; Valid 1056.0; Max. 4.0; Mean 3.714015151515151;

Variable Format: numeric

Notes: UNF:6:XuW9IxmwVWxDFU4mwbxdLw==

GQ7. Who were they reported to? (Check all that apply:

f10421880 Location:

Variable Format: character

Notes: UNF:6:DfPSeRoNm6DxRQopzmfyvw==

Who were they reported to: Hiring farmer

f10421880 Location:

Value	Label	Frequency	Text
1.	yes	9
0.	no	1

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.31622776601683794; Mean 0.9; Valid 10.0

Variable Format: numeric

Notes: UNF:6:EZfsU36HCge1d4hf7bwN5g==

Who were they reported to: Supervisor

f10421880 Location:

Value	Label	Frequency	Text
0.	no	10
1.	yes	0

Summary Statistics: Max. 0.0; Valid 10.0; Mean 0.0; StDev 0.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:ZYv6iJ0qwINr/a0D/Eaj1g==

Who were they reported to: Community health worker

f10421880 Location:

Value	Label	Frequency	Text
1.	yes	0
0.	no	10

Summary Statistics: StDev 0.0; Min. 0.0; Mean 0.0; Valid 10.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:ZYv6iJ0qwINr/a0D/Eaj1g==

Who were they reported to: Police

f10421880 Location:

Value	Label	Frequency	Text
1.	yes	1
0.	no	9

Summary Statistics: StDev 0.31622776601683794; Mean 0.1; Max. 1.0; Min. 0.0; Valid 10.0;

Variable Format: numeric

Notes: UNF:6:xvhT9CFFmGr4Cj/9RAB7Ig==

Who were they reported to: Religious leader

f10421880 Location:

Value	Label	Frequency	Text
0.	no	10
1.	yes	0

Summary Statistics: Min. 0.0; Mean 0.0; Max. 0.0; Valid 10.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:ZYv6iJ0qwINr/a0D/Eaj1g==

GQ8. Was your report responded to?

f10421880 Location:

Value	Label	Frequency
2.	No	3
3.	Refused to answer	0
1.	Yes	7

Summary Statistics: Mean 1.3; Min. 1.0; StDev 0.48304589153964794; Max. 2.0; Valid 10.0;

Variable Format: numeric

Notes: UNF:6:g+SHo/BEi2tVEUU5b/KYhA==

GQ9. Are you satisfied with how the report was addressed?

f10421880 Location:

Value	Label	Frequency
1.	Yes	6
2.	No	4
3.	Refused to answer	0

Summary Statistics: Valid 10.0; Mean 1.4; Max. 2.0; StDev 0.5163977794943223; Min. 1.0

Variable Format: numeric

Notes: UNF:6:k1yLHhaC40DbH25Cb4TFiw==

GQ10. How would you rate the effectiveness of the reporting and response process

f10421880 Location:

Value	Label	Frequency
1.	Poor	3
2.	Fair	1
4.	Very good	1
5.	Excellent	2
3.	Good	3

Summary Statistics: StDev 1.5491933384829666; Valid 10.0; Max. 5.0; Min. 1.0; Mean 2.8

Variable Format: numeric

Notes: UNF:6:VBUtc7WN3SCbhr4pq62/OQ==

GQ11. Are there any incidents you did not report?

f10421880 Location:

Value	Label	Frequency	Text
0.	no	74
1.	yes	191

Summary Statistics: Valid 265.0; Max. 1.0; Min. 0.0; Mean 0.7207547169811321; StDev 0.4494771754772589;

Variable Format: numeric

Notes: UNF:6:oPK1nfQWz2hV1Ac44Rv6aQ==

GQ12. Which of the following reasons make you uncomfortable with the idea of rep

f10421880 Location:

Variable Format: character

Notes: UNF:6:Gu6TJo3M8Ba+HFIpf+OoqQ==

It is not clear how to report incidents

f10421880 Location:

Value	Label	Frequency	Text
0.	no	84
1.	yes	107

Summary Statistics: Mean 0.5602094240837697; Max. 1.0; Min. 0.0; StDev 0.4976660877115165; Valid 191.0;

Variable Format: numeric

Notes: UNF:6:c7YkWr51GBPfN5aXE+/oSg==

You are uncomfortable reporting to the person(s) who receive reports

f10421880 Location:

Value	Label	Frequency	Text
0.	no	127
1.	yes	64

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.33507853403141363; Valid 191.0; StDev 0.47325843514038324;

Variable Format: numeric

Notes: UNF:6:IE9NhDqRBiBxW7TvMHhJTw==

You are concerned that reporting an incident will affect your job, career or pos

f10421880 Location:

Value	Label	Frequency	Text
1.	yes	78
0.	no	113

Summary Statistics: Min. 0.0; Mean 0.4083769633507853; StDev 0.4928253499687104; Max. 1.0; Valid 191.0

Variable Format: numeric

Notes: UNF:6:vgxPj7Ig24cKjT1Jk5fRwg==

I just took it lightly

f10421880 Location:

Value	Label	Frequency	Text
0.	no	190
1.	yes	1

Summary Statistics: Mean 0.0052356020942408606; Max. 1.0; Min. 0.0; StDev 0.07235746052924216; Valid 191.0

Variable Format: numeric

Notes: UNF:6:e5ZOd11CaMQU199qf5h2XQ==

Household Identification Number

f10421874 Location:

Summary Statistics: Valid 1056.0; Min. 2.0; Mean 3.4621394369317494E7; Max. 2.65322031E8; StDev 6.651975177649495E7

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421874 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

HQ1. Were you injured or hurt while working in the farm the last 12 months?

f10421874 Location:

Value	Label	Frequency	Text
0.	no	802
1.	yes	254

Summary Statistics: Max. 1.0; Valid 1056.0; Min. 0.0; Mean 0.24053030303030312; StDev 0.4276080313379808

Variable Format: numeric

Notes: UNF:6:OCDexNOxRM4/uY+kuXo+mQ==

HQ2. How often did this happen?

f10421874 Location:

Value	Label	Frequency
3.	Biweekly	0
1.	Daily	0
6.	Once	199
2.	Weekly	2
4.	Monthly	15
5.	Every year	38

Summary Statistics: Min. 2.0; Max. 6.0; Mean 5.700787401574803; Valid 254.0; StDev 0.6511159241779629

Variable Format: numeric

Notes: UNF:6:OQjmgtGWtcwOaGcYZs9u6Q==

HQ3. Was it clear to you where to report the incident?

f10421874 Location:

Value	Label	Frequency	Text
1.	yes	110
0.	no	144

Summary Statistics: Max. 1.0; Valid 254.0; Min. 0.0; Mean 0.4330708661417322; StDev 0.4964785269923204

Variable Format: numeric

Notes: UNF:6:7ioVN1aeTTt2cyE+WGkqeQ==

HQ4. Did your employer pay any contribution to your medical expenses resulting f

f10421874 Location:

Value	Label	Frequency	Text
0.	no	171
1.	yes	83

Summary Statistics: Mean 0.3267716535433071; Max. 1.0; StDev 0.4699590124079964; Min. 0.0; Valid 254.0

Variable Format: numeric

Notes: UNF:6:QCaqWSgai+rKFUys8YWX5w==

HQ5a. If the costs were shared between you and youe employer, Please specify whi

f10421874 Location:

Summary Statistics: Max. 100.0; StDev 23.038456906238938; Min. 0.0; Valid 83.0; Mean 10.24096385542169;

Variable Format: numeric

Notes: UNF:6:BS5Sx0sLKLP3J6crtzIghA==

HQ5b. What percentage did your employer contribute to your medical expenses?

f10421874 Location:

Summary Statistics: Min. 0.0; Mean 87.10843373493977; Valid 83.0; Max. 100.0; StDev 27.147749333201837

Variable Format: numeric

Notes: UNF:6:onxQOUVQ9D4TIZfLgArZIA==

HQ5c. What percentage did NHIF (public health insurance) contribute to your medi

f10421874 Location:

Summary Statistics: Max. 60.0; Min. -99.0; Valid 83.0; StDev 51.83732664533291; Mean -49.96385542168675

Variable Format: numeric

Notes: UNF:6:oNxYGnbf+mbShCmwcMyjdQ==

HQ6. Would employer or your work insurance pay any contribution for your medical

f10421874 Location:

Value	Label	Frequency
4.	The charges would be shared	28
1.	Idon't know	39
3.	I would pay	149
2.	The farm or insurance would pay	38

Summary Statistics: Min. 1.0; Valid 254.0; Max. 4.0; StDev 0.8700365968942141; Mean 2.653543307086614

Variable Format: numeric

Notes: UNF:6:thV1WwI2zq+Yapw0ce/vtg==

HQ7. Do you know if someone lost their lives because of their work at this workp

f10421874 Location:

Value	Label	Frequency
2.	No	999
3.	Don't know	52
1.	Yes	5

Summary Statistics: Min. 1.0; Mean 2.0445075757575757; Valid 1056.0; StDev 0.22813512238534298; Max. 3.0

Variable Format: numeric

Notes: UNF:6:xF7kh5HirO6fxYHMUiGLlA==

HQ8. How many people lost their lives in this farm/workplace in the last 12 mont

f10421874 Location:

Summary Statistics: Max. 8.0; Mean 2.6; Valid 5.0; StDev 3.0495901363953815; Min. 1.0

Variable Format: numeric

Notes: UNF:6:YL2sWkLJfhHwowJ94miR3w==

HQ9. Do you know what compensation was paid to the family member of the victim(s

f10421874 Location:

Summary Statistics: Mean 400000.0; Valid 5.0; Min. -99.0; StDev 894427.1964788415; Max. 2000000.0;

Variable Format: numeric

Notes: UNF:6:n4tHH4EMk77LbhA+yjXTaA==

HQ10. Did you ever apply PESTICIDES manually?

f10421874 Location:

Value	Label	Frequency	Text
1.	yes	362
0.	no	694

Summary Statistics: StDev 0.4748712003277971; Min. 0.0; Max. 1.0; Mean 0.3428030303030296; Valid 1056.0;

Variable Format: numeric

Notes: UNF:6:+wf509BQ1heZMJ/UslxZ8g==

HQ11. How often did you use GLOVES when using pesticides?

f10421874 Location:

Value	Label	Frequency
1.	Never	128
6.	I don't knoe	0
3.	About half of the time	11
5.	All the time	190
2.	Less than half of the time	21
4.	More than half of the time	12

Summary Statistics: Max. 5.0; Mean 3.3176795580110494; StDev 1.8745022244727467; Min. 1.0; Valid 362.0

Variable Format: numeric

Notes: UNF:6:3USgNx8if9nljfW04Bt5jA==

HQ12. How often did you use SUITS when using pesticides?

f10421874 Location:

Value	Label	Frequency
4.	More than half of the time	9
3.	About half of the time	10
2.	Less than half of the time	19
6.	I don't knoe	0
1.	Never	166
5.	All the time	158

Summary Statistics: Max. 5.0; Valid 362.0; Mean 2.9281767955801117; Min. 1.0; StDev 1.913744278981034

Variable Format: numeric

Notes: UNF:6:ULlOL2ZLQ5c1bSz47CklOw==

HQ13. How often did you use BOOTS when using pesticides?

f10421874 Location:

Value	Label	Frequency
6.	I don't knoe	0
5.	All the time	228
4.	More than half of the time	11
1.	Never	89
3.	About half of the time	9
2.	Less than half of the time	25

Summary Statistics: Max. 5.0; Mean 3.729281767955801; StDev 1.7546689700980949; Valid 362.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:zgev1WGe+SV6g84/MrUcTw==

HQ14. How often did you use HATS and a MASK when using pesticides?

f10421874 Location:

Value	Label	Frequency
1.	Never	94
2.	Less than half of the time	17
4.	More than half of the time	21
3.	About half of the time	17
5.	All the time	213
6.	I don't knoe	0

Summary Statistics: StDev 1.7489379400692506; Mean 3.6685082872928185; Valid 362.0; Max. 5.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:HTei+6wKP8GBDjyfgrwoDg==

HQ15. Do you ever use a MACHETE?

f10421874 Location:

Value	Label	Frequency	Text
0.	no	270
1.	yes	786

Summary Statistics: Mean 0.7443181818181817; Valid 1056.0; Min. 0.0; Max. 1.0; StDev 0.4364504706794497;

Variable Format: numeric

Notes: UNF:6:fKPQxREpcVsxZ5TURw3Khw==

HQ16. How often did you use GLOVES when working with a machete?

f10421874 Location:

Value	Label	Frequency
1.	Never	669
5.	All the time	64
3.	About half of the time	21
2.	Less than half of the time	22
6.	I don't knoe	1
4.	More than half of the time	9

Summary Statistics: Valid 786.0; StDev 1.1720531950033057; Mean 1.4478371501272262; Max. 6.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:ulpcscSsDVF25i0GO6/GWQ==

HQ17. How many HOURS per day you used a machete on average?

f10421874 Location:

Summary Statistics: Max. 25.0; Mean 3.251908396946567; Min. -4.0; StDev 1.98212462005611; Valid 786.0

Variable Format: numeric

Notes: UNF:6:Q9MNCclGP10ltYDmxabt+A==

HQ18. How many days of work did you lose in the last 12 months? due to WORK RELA

f10421874 Location:

Summary Statistics: Min. 0.0; Mean 1.6515151515151505; Max. 60.0; Valid 1056.0; StDev 4.82860332025887

Variable Format: numeric

Notes: UNF:6:QiGb5fd28kpeHVMjdm1pOA==

HQ19. Were these paid or not paid days of absence?

f10421874 Location:

Value	Label	Frequency	Text
1.	Paid days	28
2.	Unpaid days	219

Summary Statistics: StDev 0.3176764661075695; Min. 1.0; Valid 247.0; Mean 1.8866396761133604; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:Y+LxZ41afaIWRhvDMZfLCQ==

HQ20. How many days of work did you lose in the last 12 months? due to pain or s

f10421874 Location:

Summary Statistics: Min. 0.0; Max. 140.0; Valid 1056.0; StDev 7.84261653872533; Mean 3.521780303030302

Variable Format: numeric

Notes: UNF:6:i8RwzMk+FSCWk3kyYuJ/RA==

HQ21. Were these paid or not paid days of absence?

f10421874 Location:

Value	Label	Frequency	Text
1.	Paid days	29
2.	Unpaid days	513

Summary Statistics: StDev 0.225247202396435; Max. 2.0; Mean 1.9464944649446494; Min. 1.0; Valid 542.0;

Variable Format: numeric

Notes: UNF:6:gd9dL9n7xPzJdaYpXB6UKA==

Household Identification Number

f10421872 Location:

Summary Statistics: Min. 2.0; Mean 3.4621394369317494E7; StDev 6.651975177649495E7; Valid 1056.0; Max. 2.65322031E8;

Variable Format: numeric

Notes: UNF:6:VhNgeHvqGQll/nkP/UBleA==

Worker ID

f10421872 Location:

Variable Format: character

Notes: UNF:6:WHMej9j9LDvP/eUmRYaNHw==

Which of the following training did you receive in the last 12 months? (Check al

f10421872 Location:

Variable Format: character

Notes: UNF:6:I9vhrTIO6NbhwKHFp8DcLQ==

Training received: Good agricultural practices

f10421872 Location:

Value	Label	Frequency	Text
1.	yes	271
0.	no	785

Summary Statistics: Valid 1056.0; Max. 1.0; Mean 0.2566287878787878; StDev 0.4369797228530089; Min. 0.0

Variable Format: numeric

Notes: UNF:6:i5G0udTOK3sDsEQ/hE3Ssg==

Training received: Pesticide application

f10421872 Location:

Value	Label	Frequency	Text
0.	no	932
1.	yes	124

Summary Statistics: StDev 0.32207766562021906; Max. 1.0; Valid 1056.0; Mean 0.1174242424242426; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:JFdW2fTUvXl8pvJNt5MN/w==

Training received: Health and safety and work

f10421872 Location:

Value	Label	Frequency	Text
0.	no	979
1.	yes	77

Summary Statistics: Mean 0.07291666666666666; StDev 0.260122859537012; Min. 0.0; Max. 1.0; Valid 1056.0

Variable Format: numeric

Notes: UNF:6:aosT+vP4oTapbcbWBi3RVw==

Training received: Sexual unwanted attention

f10421872 Location:

Value	Label	Frequency	Text
1.	yes	23
0.	no	1033

Summary Statistics: Valid 1056.0; StDev 0.1460346418367959; Min. 0.0; Mean 0.021780303030303004; Max. 1.0

Variable Format: numeric

Notes: UNF:6:GyDdLBQ7SKVpcEu/UV80Uw==

Training received: Nutrition

f10421872 Location:

Value	Label	Frequency	Text
1.	yes	74
0.	no	982

Summary Statistics: Min. 0.0; Max. 1.0; Valid 1056.0; Mean 0.07007575757575743; StDev 0.25539560232437114

Variable Format: numeric

Notes: UNF:6:bgoB2Ou7HHXlI/ukg1HYqA==

Training received: No training

f10421872 Location:

Value	Label	Frequency	Text
1.	yes	725
0.	no	331

Summary Statistics: Valid 1056.0; Mean 0.68655303030303; Min. 0.0; StDev 0.4641141519069328; Max. 1.0

Variable Format: numeric

Notes: UNF:6:KmlKZoGFw6caR7PRWrXGpQ==

IQ1. HOW MANY hours of training did you receive on GOOD AGRICULTURAL PRACTICES i

f10421872 Location:

Summary Statistics: Mean 11.970479704797043; Min. 1.0; StDev 27.301184605803158; Valid 271.0; Max. 270.0

Variable Format: numeric

Notes: UNF:6:XH0n+4mJ9LLSmHtgEEHSpQ==

IQ2. HOW MANY hours of training did you receive on HOW TO USE PESTICIDES in the

f10421872 Location:

Summary Statistics: Valid 124.0; Max. 72.0; Mean 8.258064516129036; Min. 0.0; StDev 13.650617763644885

Variable Format: numeric

Notes: UNF:6:ZOBA7nfByiFb7556yZOxow==

IQ3. HOW MANY hours of training did you receive on HEALTH AND SAFETY AT WORK in

f10421872 Location:

Summary Statistics: StDev 23.34751139732871; Mean 9.62337662337662; Max. 156.0; Min. 1.0; Valid 77.0

Variable Format: numeric

Notes: UNF:6:df/dlJ+QZbNvFx+e4BOq0w==

IQ4. HOW MANY hours of training did you receive on SEXUAL UNWANTED ATTENTION in

f10421872 Location:

Summary Statistics: Valid 23.0; Max. 156.0; StDev 33.13673910119808; Mean 16.043478260869566; Min. 1.0

Variable Format: numeric

Notes: UNF:6:vIoYivn/LWc+UdG89dohpg==

IQ4. HOW MANY hours of training did you receive on NUTRITION in the last 12 mont

f10421872 Location:

Summary Statistics: Valid 74.0; Mean 8.878378378378377; Max. 60.0; StDev 13.225082751071048; Min. 1.0

Variable Format: numeric

Notes: UNF:6:tVOLMIimnFDXxW/M8Pmazw==

Variable Name

f10421927 Location:

Variable Format: character

Notes: UNF:6:CiyqoUpsYj4jwGBReFmrhA==

Variable Label

f10421927 Location:

Variable Format: character

Notes: UNF:6:DEJtNc4S7INhItsHckVFJA==

Answer Label

f10421927 Location:

Variable Format: character

Notes: UNF:6:UKmet17MPhpqxGDJXHDlxw==

Answer Code

f10421927 Location:

Summary Statistics: Max. 962.0; StDev 304.56904485103047; Mean 300.4202898550728; Valid 207.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:CHtiZEmpJefyPom+LLGVJA==

Variable Type

f10421927 Location:

Variable Format: character

Notes: UNF:6:QmCCUiPpKqaOpnav1veNvA==

Variable Name

f10421920 Location:

Variable Format: character

Notes: UNF:6:fXk9OFxbn7aANYH9T3Fp1Q==

Variable Label

f10421920 Location:

Variable Format: character

Notes: UNF:6:vg7cb46ZGMhMYfEn1z476A==

Answer Label

f10421920 Location:

Variable Format: character

Notes: UNF:6:oITqdDV1+BULpdSBSWkV+w==

Answer Code

f10421920 Location:

Summary Statistics: Valid 167.0; Mean 372.0598802395206; Max. 962.0; StDev 297.3776897628003; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:m8vY9vr7fHNT1NhxILrVKg==

Variable Type

f10421920 Location:

Variable Format: character

Notes: UNF:6:WdY3z0Mxp6jF6vA+CFum9g==

Variable Name

f10650013 Location:

Variable Format: character

Notes: UNF:6:966i1AKtY9FLl+4kC/CHdQ==

Variable Label

f10650013 Location:

Variable Format: character

Notes: UNF:6:FfOudN+aDnhqhrDQVwacpQ==

Answer Label

f10650013 Location:

Variable Format: character

Notes: UNF:6:NnZUtTFbxExfkkycXlB7iQ==

Answer Code

f10650013 Location:

Summary Statistics: Min. 0.0; Valid 12.0; StDev 2.04494943258218; Max. 6.0; Mean 2.0

Variable Format: numeric

Notes: UNF:6:QSCEReQvLY+48KYh4zJtnw==

Variable Type

f10650013 Location:

Variable Format: character

Notes: UNF:6:l4hYc3JJGZbVAS/p/RfzxQ==

Variable Name

f10650014 Location:

Variable Format: character

Notes: UNF:6:KCvarCzPdGw8IEWsHaucIw==

Variable Label

f10650014 Location:

Variable Format: character

Notes: UNF:6:FZQI5ah7LNPXZieBq04/eQ==

Answer Label

f10650014 Location:

Variable Format: character

Notes: UNF:6:NnZUtTFbxExfkkycXlB7iQ==

Answer Code

f10650014 Location:

Summary Statistics: StDev 2.04494943258218; Min. 0.0; Valid 12.0; Mean 2.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:QSCEReQvLY+48KYh4zJtnw==

Variable Type

f10650014 Location:

Variable Format: character

Notes: UNF:6:8Ly+fFgAyVgoKcGlK+c8CQ==

Variable Name

f10650015 Location:

Variable Format: character

Notes: UNF:6:EBBwDysLZ5q3UixtRpVi5w==

Variable Label

f10650015 Location:

Variable Format: character

Notes: UNF:6:uwag2zPP0GGdWLi9Sru+FQ==

Answer Label

f10650015 Location:

Variable Format: character

Notes: UNF:6:NnZUtTFbxExfkkycXlB7iQ==

Answer Code

f10650015 Location:

Summary Statistics: Max. 6.0; Mean 2.0; Min. 0.0; StDev 2.04494943258218; Valid 12.0

Variable Format: numeric

Notes: UNF:6:QSCEReQvLY+48KYh4zJtnw==

Variable Type

f10650015 Location:

Variable Format: character

Notes: UNF:6:Up7lR5czqPERFs/yjs3t2Q==

Variable Name

f10421924 Location:

Variable Format: character

Notes: UNF:6:rlrC3fwETKN24nCtpVoIrA==

Variable Label

f10421924 Location:

Variable Format: character

Notes: UNF:6:qnqZ2ec7AL6fWeB3XheX9A==

Answer Label

f10421924 Location:

Variable Format: character

Notes: UNF:6:QRomj/X/uP19ZowT1rLcpw==

Answer Code

f10421924 Location:

Summary Statistics: Valid 109.0; StDev 95.22587379717193; Max. 999.0; Min. 0.0; Mean 16.660550458715576

Variable Format: numeric

Notes: UNF:6:3upDjzABTJKgNLnYol7KyA==

Variable Type

f10421924 Location:

Variable Format: character

Notes: UNF:6:v5EXorhCJkMiVMtIe6Sriw==

Variable Name

f10421937 Location:

Variable Format: character

Notes: UNF:6:OLQ8tDcVeOtsa5ONf0KQXw==

Variable Label

f10421937 Location:

Variable Format: character

Notes: UNF:6:+a5XnkCEDR4fHj7pQkYL/Q==

Answer Label

f10421937 Location:

Variable Format: character

Notes: UNF:6:ByIEV85M+emy3hb38Gg9TA==

Answer Code

f10421937 Location:

Summary Statistics: Valid 1290.0; Mean 231.15426356589325; Min. -99.0; Max. 888.0; StDev 226.36083139611767;

Variable Format: numeric

Notes: UNF:6:CQgYW08/NkMZGig0XZqAOQ==

Variable Type

f10421937 Location:

Variable Format: character

Notes: UNF:6:PSdSeDC4hH/grEwbqK6leg==

Variable Name

f10421936 Location:

Variable Format: character

Notes: UNF:6:K3Cz7cr1cwE0Ktn6XHCLWg==

Variable Label

f10421936 Location:

Variable Format: character

Notes: UNF:6:rBKnNkpu3wTomYU++/g/eg==

Answer Label

f10421936 Location:

Variable Format: character

Notes: UNF:6:NZiErHkVHzrkxrkP9z7YXg==

Answer Code

f10421936 Location:

Summary Statistics: StDev 227.39299709418532; Min. -99.0; Valid 1246.0; Mean 239.79775280898957; Max. 888.0

Variable Format: numeric

Notes: UNF:6:n8F0WNcstvC9FNztASoeNQ==

Variable Type

f10421936 Location:

Variable Format: character

Notes: UNF:6:5fyj2OQn3EGQaj9ZcHGxgg==

Variable Name

f10421931 Location:

Variable Format: character

Notes: UNF:6:fRAnhgMGlcAOzzrv3fjMhw==

Variable Label

f10421931 Location:

Variable Format: character

Notes: UNF:6:1OwHL7h5vmd+YApGVYbkZA==

Answer Label

f10421931 Location:

Variable Format: character

Notes: UNF:6:r102HaKxke819nX5GezbQA==

Answer Code

f10421931 Location:

Summary Statistics: StDev 224.05293957281066; Mean 315.7106430155211; Max. 888.0; Valid 902.0; Min. -99.0;

Variable Format: numeric

Notes: UNF:6:t2rHNEP2xfPvfodWAHHuOg==

Variable Type

f10421931 Location:

Variable Format: character

Notes: UNF:6:NL3g5fJ6n++VF2zkzQa6fA==

Variable Name

f10421933 Location:

Variable Format: character

Notes: UNF:6:pLSfVJzfAe2tIznQbucv+Q==

Variable Label

f10421933 Location:

Variable Format: character

Notes: UNF:6:LoorzY1TMZ9EkwbbYVHJ/A==

Answer Label

f10421933 Location:

Variable Format: character

Notes: UNF:6:YZ5FEetmRWchx2IaUSnTNQ==

Answer Code

f10421933 Location:

Summary Statistics: StDev 127.80177325449564; Min. -99.0; Mean 134.57446808510636; Valid 47.0; Max. 399.0;

Variable Format: numeric

Notes: UNF:6:T5b1+vYphoTDCTy8nHB5EA==

Variable Type

f10421933 Location:

Variable Format: character

Notes: UNF:6:S/HH+zGfrTWKdWND6s8xhA==

Variable Name

f10650016 Location:

Variable Format: character

Notes: UNF:6:4lRNr/3fBsCi2TPakOSQEg==

Variable Label

f10650016 Location:

Variable Format: character

Notes: UNF:6:7l66u94AzgbhcFLbmtWAaw==

Answer Label

f10650016 Location:

Variable Format: character

Notes: UNF:6:bj+Aiwy71slYkCaAa6GA0A==

Answer Code

f10650016 Location:

Summary Statistics: Valid 108.0; StDev 6.664303838806895; Max. 22.0; Mean 10.129629629629628; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Hpf83YApDx6kDsy2iQb/nw==

Variable Type

f10650016 Location:

Variable Format: character

Notes: UNF:6:M73c6ih2tvnSjcfh5OU8SQ==

Variable Name

f10421935 Location:

Variable Format: character

Notes: UNF:6:QGsxa2VEEncrlunS2wbWbQ==

Variable Label

f10421935 Location:

Variable Format: character

Notes: UNF:6:ZXmQTq49H1nk98zfKxXa8A==

Answer Label

f10421935 Location:

Variable Format: character

Notes: UNF:6:fauOZyCGca7f2dLcTQwP1w==

Answer Code

f10421935 Location:

Summary Statistics: Min. 0.0; Mean 11.628571428571425; Max. 30.0; Valid 70.0; StDev 8.825476016346872

Variable Format: numeric

Notes: UNF:6:WFt6a58Ng4Wt1T9skVR3LQ==

Variable Type

f10421935 Location:

Variable Format: character

Notes: UNF:6:ZKFXqa/ERoDeDGuUdeEOGQ==

Variable Name

f10421930 Location:

Variable Format: character

Notes: UNF:6:nlSkooqgmaAoYlUpqkZ79w==

Variable Label

f10421930 Location:

Variable Format: character

Notes: UNF:6:edj5Hl1MA98rC7oI9hOrUA==

Answer Label

f10421930 Location:

Variable Format: character

Notes: UNF:6:S7iS5fQXEPKKJVnHTrUbJw==

Answer Code

f10421930 Location:

Summary Statistics: Valid 179.0; Mean 12.178770949720668; Max. 39.0; Min. 0.0; StDev 8.604375464415442

Variable Format: numeric

Notes: UNF:6:4UKqs75Xm/DfaDygQgr++w==

Variable Type

f10421930 Location:

Variable Format: character

Notes: UNF:6:ymx26Fpcggz5tgkU80jB3w==

Variable Name

f10421941 Location:

Variable Format: character

Notes: UNF:6:Pm5sz60UloY9r+8ZFHwcRg==

Variable Label

f10421941 Location:

Variable Format: character

Notes: UNF:6:lQi44jvrDEW9/trHWpSB/Q==

Answer Label

f10421941 Location:

Variable Format: character

Notes: UNF:6:SoMPoGJ/GuEN+34b41jhXQ==

Answer Code

f10421941 Location:

Summary Statistics: Max. 88.0; Min. 0.0; Valid 15.0; StDev 30.234322974300017; Mean 13.600000000000001

Variable Format: numeric

Notes: UNF:6:yowLuDhOshlOJszq6nwUbQ==

Variable Type

f10421941 Location:

Variable Format: character

Notes: UNF:6:4OYAy+/WlP+jBcPiTZLB5g==

Variable Name

f10421938 Location:

Variable Format: character

Notes: UNF:6:5J66pnWkXTUfGG5IN30YsQ==

Variable Label

f10421938 Location:

Variable Format: character

Notes: UNF:6:GMtJpHEWfJtPI7QZUEvKvw==

Answer Label

f10421938 Location:

Variable Format: character

Notes: UNF:6:V3z9BPYcnQi1Q3XhPPTmmA==

Answer Code

f10421938 Location:

Summary Statistics: Mean 10.770833333333336; Min. 0.0; Max. 22.0; Valid 96.0; StDev 6.597414432410811

Variable Format: numeric

Notes: UNF:6:JPdD8j04JnlCROs9z5Ly4Q==

Variable Type

f10421938 Location:

Variable Format: character

Notes: UNF:6:AmHce9r8PXOtn+5wYAFhzw==

Variable Name

f10421940 Location:

Variable Format: character

Notes: UNF:6:exx5NfhHVctji1spqJYiHA==

Variable Label

f10421940 Location:

Variable Format: character

Notes: UNF:6:bOhiWCuHpPsS9IwZaszY3g==

Answer Label

f10421940 Location:

Variable Format: character

Notes: UNF:6:OwQLOofI6pRdsl2ilFWzRg==

Answer Code

f10421940 Location:

Summary Statistics: StDev 85.84511139362073; Valid 105.0; Min. 0.0; Max. 888.0; Mean 19.104761904761904

Variable Format: numeric

Notes: UNF:6:5pNPWxEtIVLZ+mlZZsWiYA==

Variable Type

f10421940 Location:

Variable Format: character

Notes: UNF:6:rHc12EhSdDMskOK9psFCyg==

Variable Name

f10421932 Location:

Variable Format: character

Notes: UNF:6:cVV8ghjRYG+J6S5/Umrd5Q==

Variable Label

f10421932 Location:

Variable Format: character

Notes: UNF:6:G1YxRiqhcV51H7pl9D8tRQ==

Answer Label

f10421932 Location:

Variable Format: character

Notes: UNF:6:LVR1Z2oKpr8GOIwXMC5zUw==

Answer Code

f10421932 Location:

Summary Statistics: Min. 101.0; Valid 98.0; StDev 370.62575922061046; Max. 1303.0; Mean 650.102040816327;

Variable Format: numeric

Notes: UNF:6:c9D+EvFsYr+PYPICUYbipA==

Variable Type

f10421932 Location:

Variable Format: character

Notes: UNF:6:btK0y/wlGJ4UsQBcasVorg==

Variable Name

f10421957 Location:

Variable Format: character

Notes: UNF:6:nIulkQMHsUhXDKxFEUgVxA==

Variable Label

f10421957 Location:

Variable Format: character

Notes: UNF:6:5GLHR+tocYW0aXtdvxzBvg==

Answer Label

f10421957 Location:

Variable Format: character

Notes: UNF:6:S+rp4/q4cWK0K8/BOF11Gw==

Answer Code

f10421957 Location:

Summary Statistics: StDev 45.8530260724415; Min. 0.0; Max. 104.0; Valid 5.0; Mean 82.0

Variable Format: numeric

Notes: UNF:6:rPF3frM/WDWe4Z4cLqz7Tw==

Variable Type

f10421957 Location:

Variable Format: character

Notes: UNF:6:gFSgPmeCTIU5BKHXiaRYKA==

Variable Name

f10421950 Location:

Variable Format: character

Notes: UNF:6:WXq+pM9dGpvXVquuASr3lQ==

Variable Label

f10421950 Location:

Variable Format: character

Notes: UNF:6:WjC+UZ3PsbnV58FVew1Exw==

Answer Label

f10421950 Location:

Variable Format: character

Notes: UNF:6:7x1r4jZuWzy9nsjkOMdzpA==

Answer Code

f10421950 Location:

Summary Statistics: StDev 7.648529270389178; Min. 209.0; Max. 234.0; Valid 26.0; Mean 221.5

Variable Format: numeric

Notes: UNF:6:zptVxDuopxSE0yRXhKyFkg==

Variable Type

f10421950 Location:

Variable Format: character

Notes: UNF:6:ov/9GNjgtvHf/EBiv6SKXA==

Variable Name

f10421949 Location:

Variable Format: character

Notes: UNF:6:9Sh2DpfMKZi19SDI42XRsA==

Variable Label

f10421949 Location:

Variable Format: character

Notes: UNF:6:GMaS/wc14fgEE88+HkJ18A==

Answer Label

f10421949 Location:

Variable Format: character

Notes: UNF:6:yNdD3+Evj68pRgd/OSwWyQ==

Answer Code

f10421949 Location:

Summary Statistics: Max. 58.0; Valid 230.0; StDev 12.046442783986656; Min. 0.0; Mean 15.273913043478252;

Variable Format: numeric

Notes: UNF:6:pLrmOtqecOKQbuzGkuDrlA==

Variable Type

f10421949 Location:

Variable Format: character

Notes: UNF:6:gpNE9n69rhLHJPAXae/GDg==

Variable Name

f10421947 Location:

Variable Format: character

Notes: UNF:6:9RBdgpmydC4mdcER4NN/uA==

Variable Label

f10421947 Location:

Variable Format: character

Notes: UNF:6:L0HI9ll4ZzPZuu6jdEgPtQ==

Answer Label

f10421947 Location:

Variable Format: character

Notes: UNF:6:D8UrwuFSc71mSlZd/yW25A==

Answer Code

f10421947 Location:

Summary Statistics: StDev 1.4847711791873706; Valid 12.0; Max. 5.0; Min. 1.0; Mean 2.75

Variable Format: numeric

Notes: UNF:6:1gydl2z4vobHr84WpXuvWg==

Variable Type

f10421947 Location:

Variable Format: character

Notes: UNF:6:0ElYNmKtYfoS5YcbeUGn0Q==

Variable Name

f10421948 Location:

Variable Format: character

Notes: UNF:6:q3xA3azsRIFZwaxWC+1ypA==

Variable Label

f10421948 Location:

Variable Format: character

Notes: UNF:6:gx5hECBT656QjPBzCv+1kQ==

Answer Label

f10421948 Location:

Variable Format: character

Notes: UNF:6:PCCEoX4Rzki87Uyw2EB7sg==

Answer Code

f10421948 Location:

Summary Statistics: Max. 4.0; Valid 10.0; StDev 31.823296847156207; Min. -99.0; Mean -8.5

Variable Format: numeric

Notes: UNF:6:HmxSkMGaY05ejGLPTByyiw==

Variable Type

f10421948 Location:

Variable Format: character

Notes: UNF:6:XorEiw/Hobi1H5yk6JFM/w==

Variable Name

f10421953 Location:

Variable Format: character

Notes: UNF:6:RmhZmMhEa2Xz4oUPZj39Fg==

Variable Label

f10421953 Location:

Variable Format: character

Notes: UNF:6:lui6mal4zhH6xtJ/V4mCOQ==

Answer Label

f10421953 Location:

Variable Format: character

Notes: UNF:6:nTL5SfkkP8kC/Gp0JcjqNQ==

Answer Code

f10421953 Location:

Summary Statistics: Valid 22.0; StDev 2.9102743804832163; Max. 9.0; Mean 3.7727272727272725; Min. 0.0

Variable Format: numeric

Notes: UNF:6:p5IpwEDb+suW1Bb8gr+Ang==

Variable Type

f10421953 Location:

Variable Format: character

Notes: UNF:6:AxsulLtdrLsBhsdDOgwrHA==

Variable Name

f10421956 Location:

Variable Format: character

Notes: UNF:6:gO1mDD35qXlhfA+QWha4Cg==

Variable Label

f10421956 Location:

Variable Format: character

Notes: UNF:6:YhH+DZAEBmkUkHbMVHzyqQ==

Answer Label

f10421956 Location:

Variable Format: character

Notes: UNF:6:IST7qGQvCBIdHK4tj5eOGg==

Answer Code

f10421956 Location:

Summary Statistics: Min. 1.0; StDev 34.7299102599858; Valid 6.0; Mean 17.166666666666664; Max. 88.0

Variable Format: numeric

Notes: UNF:6:ztHJbTQmcDv9ljh4Jr/Nlw==

Variable Type

f10421956 Location:

Variable Format: character

Notes: UNF:6:pv7z4RF9h+huhc+h63EhcA==

Variable Name

f10421952 Location:

Variable Format: character

Notes: UNF:6:/Inj+Kog7vcXBzWgcRa7jQ==

Variable Label

f10421952 Location:

Variable Format: character

Notes: UNF:6:9FaPQTresoEgl21zwFN3qw==

Answer Label

f10421952 Location:

Variable Format: character

Notes: UNF:6:bukV2g4ftAFGbTx9RTGaZA==

Answer Code

f10421952 Location:

Summary Statistics: Mean 8.142857142857146; Max. 88.0; Valid 21.0; Min. 1.0; StDev 18.447996406888514;

Variable Format: numeric

Notes: UNF:6:Q1mkp1PYz5IBpfTFIBw94Q==

Variable Type

f10421952 Location:

Variable Format: character

Notes: UNF:6:/3gJs9L1jdpQwTdR6/vq2w==

Variable Name

f10421951 Location:

Variable Format: character

Notes: UNF:6:qSLTVWP1z+P02xfnsM0lEQ==

Variable Label

f10421951 Location:

Variable Format: character

Notes: UNF:6:zxyo8nRP2l0vIEn2naeKmw==

Answer Label

f10421951 Location:

Variable Format: character

Notes: UNF:6:lz11kwwcN0Zs0LZXDV4DOw==

Answer Code

f10421951 Location:

Summary Statistics: Mean 1.8888888888888888; StDev 1.7638342073763937; Valid 9.0; Max. 5.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:xmSXr75lraXUnivdbBrQNg==

Variable Type

f10421951 Location:

Variable Format: character

Notes: UNF:6:EeUhE4C7uzeqp/4tEFHIgQ==

Variable Name

f10421955 Location:

Variable Format: character

Notes: UNF:6:eWhDLKzZmaH8RmqI2gtDTw==

Variable Label

f10421955 Location:

Variable Format: character

Notes: UNF:6:PCnlYeSQRiqizY+BWOfQXQ==

Answer Label

f10421955 Location:

Variable Format: character

Notes: UNF:6:wUVD3HvdiwMHuVTZUBenrA==

Answer Code

f10421955 Location:

Summary Statistics: Min. 0.0; Valid 48.0; Max. 24.0; Mean 7.541666666666665; StDev 7.133851972926774

Variable Format: numeric

Notes: UNF:6:Kf0KPVPlGjSAslKlHRzQeA==

Variable Type

f10421955 Location:

Variable Format: character

Notes: UNF:6:cd6o6IcorRwN1AVMqweP/Q==

Variable Name

f10421954 Location:

Variable Format: character

Notes: UNF:6:jDMW7043vHZt/a+QTXEHAw==

Variable Label

f10421954 Location:

Variable Format: character

Notes: UNF:6:kZqpd45EwRvq2KViaWyGXw==

Answer Label

f10421954 Location:

Variable Format: character

Notes: UNF:6:i9EFCp4NFMpajdPL8IIvUA==

Answer Code

f10421954 Location:

Summary Statistics: Valid 2.0; StDev 0.7071067811865476; Max. 1.0; Mean 0.5; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:8po8QN9UDyEOfBSjlJCWsA==

Variable Type

f10421954 Location:

Variable Format: character

Notes: UNF:6:ly4DJLZVvdmavjraiar9zw==

Variable Name

f10421928 Location:

Variable Format: character

Notes: UNF:6:xCnjLcShbeJrbWZPzGkx/Q==

Variable Label

f10421928 Location:

Variable Format: character

Notes: UNF:6:ZX+24/ACP2R3+DwsminHYQ==

Answer Label

f10421928 Location:

Variable Format: character

Notes: UNF:6:0Y5smDy14YQMbvXAUnuBPg==

Answer Code

f10421928 Location:

Summary Statistics: Min. 1.0; Max. 6.0; Valid 6.0; StDev 1.8708286933869707; Mean 3.5

Variable Format: numeric

Notes: UNF:6:kC0cvsjTkeOAcQTmIqxQ8w==

Variable Type

f10421928 Location:

Variable Format: character

Notes: UNF:6:DXZU5/VQyrFQ28bBgQLZaA==

Variable Name

f10421929 Location:

Variable Format: character

Notes: UNF:6:GgbcPh5Ko+CqwjLIFWYzuA==

Variable Label

f10421929 Location:

Variable Format: character

Notes: UNF:6:kTl5GGpHA17BEPT9AK1B5w==

Answer Label

f10421929 Location:

Variable Format: character

Notes: UNF:6:OUBbx3Ku217xf5JCNuLIwA==

Answer Code

f10421929 Location:

Summary Statistics: Max. 888.0; Valid 115.0; StDev 135.00895639414503; Mean 169.25217391304352; Min. 1.0

Variable Format: numeric

Notes: UNF:6:b9qzn2+pcks6NnKCBU++uQ==

Variable Type

f10421929 Location:

Variable Format: character

Notes: UNF:6:qyYq8PTf2sd1a1f1Cnr6qw==

Variable Name

f10421925 Location:

Variable Format: character

Notes: UNF:6:K5ss3ZCUQdQ2K19XPJXrnQ==

Variable Label

f10421925 Location:

Variable Format: character

Notes: UNF:6:0/6m/+RfXvWtnq3MTP59Yg==

Answer Label

f10421925 Location:

Variable Format: character

Notes: UNF:6:fYpQStpnqcK2FYPA/96toA==

Answer Code

f10421925 Location:

Summary Statistics: StDev 416.5905323439978; Min. 1.0; Mean 533.0250000000002; Valid 120.0; Max. 1303.0

Variable Format: numeric

Notes: UNF:6:kuR5smKP8dc5veMCmHOlzQ==

Variable Type

f10421925 Location:

Variable Format: character

Notes: UNF:6:eg5Vnmj67lInGFpUBt3pQg==

Variable Name

f10650012 Location:

Variable Format: character

Notes: UNF:6:uRc8C1Ioa+aTlNmw0JlPcQ==

Variable Label

f10650012 Location:

Variable Format: character

Notes: UNF:6:yp66zNFIhHx1sfipVezJVQ==

Answer Label

f10650012 Location:

Variable Format: character

Notes: UNF:6:AIpU+xNSx2iDaB8HFH7thw==

Answer Code

f10650012 Location:

Summary Statistics: Valid 40.0; StDev 18.38191697823902; Mean 5.049999999999998; Min. -99.0; Max. 23.0;

Variable Format: numeric

Notes: UNF:6:EtV23fHs47FSRgFZks5nDQ==

Variable Type

f10650012 Location:

Variable Format: character

Notes: UNF:6:Sd6t8FkAssOul5OTLbRVPw==

Variable Name

f10421967 Location:

Variable Format: character

Notes: UNF:6:eKL0JWDXiZVhe42zDf6dbQ==

Variable Label

f10421967 Location:

Variable Format: character

Notes: UNF:6:rLcyy5ps1PLT4ykO7oQFyQ==

Answer Label

f10421967 Location:

Variable Format: character

Notes: UNF:6:DltyIt/7kcoq8sGlM7ugcA==

Answer Code

f10421967 Location:

Summary Statistics: StDev 7.03033350742262; Mean 5.618181818181816; Max. 23.0; Valid 55.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:jIudW53VK4moaAvw+BvuDQ==

Variable Type

f10421967 Location:

Variable Format: character

Notes: UNF:6:RslFpds9lTEeZ1hO2XR4Kw==

Variable Name

f10421968 Location:

Variable Format: character

Notes: UNF:6:nudMk8LLbLP/wCUY6GE91Q==

Variable Label

f10421968 Location:

Variable Format: character

Notes: UNF:6:EzEAg6Nj/9AZCe/HXZiYyQ==

Answer Label

f10421968 Location:

Variable Format: character

Notes: UNF:6:Ml9RBAIRpsMMcX5qazo57A==

Answer Code

f10421968 Location:

Summary Statistics: Max. 5.0; StDev 1.2092126041152649; Mean 1.292682926829268; Min. 0.0; Valid 41.0

Variable Format: numeric

Notes: UNF:6:Bl/GmqyOK0FpE1aeaNKPgw==

Variable Type

f10421968 Location:

Variable Format: character

Notes: UNF:6:QGOGGcZR92GeidrWo/0CYg==

Variable Name

f10421961 Location:

Variable Format: character

Notes: UNF:6:dyrNz39NSDy1GmBSpQGl3w==

Variable Label

f10421961 Location:

Variable Format: character

Notes: UNF:6:VW3FEK9uJwMzTkJ+d9b97g==

Answer Label

f10421961 Location:

Variable Format: character

Notes: UNF:6:0KQdKdzvxZbrjtw4N0UEOg==

Answer Code

f10421961 Location:

Summary Statistics: Mean 1.1428571428571428; Valid 14.0; StDev 1.027105182026191; Max. 3.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:jqErH0Nz8LfYPtFRfxEJaQ==

Variable Type

f10421961 Location:

Variable Format: character

Notes: UNF:6:FYbfknSwsjHkvTDoK727IQ==

Variable Name

f10421964 Location:

Variable Format: character

Notes: UNF:6:VFSGHwS/QhmU9yN3NZPUtQ==

Variable Label

f10421964 Location:

Variable Format: character

Notes: UNF:6:bcepuw3gwINnDqiLdVleTQ==

Answer Label

f10421964 Location:

Variable Format: character

Notes: UNF:6:8NsGa1wsZ+4FqV8ihQ+j5Q==

Answer Code

f10421964 Location:

Summary Statistics: Mean NaN; Min. NaN; StDev NaN; Valid 0.0; Max. NaN

Variable Format: numeric

Notes: UNF:6:Fex78LUHMrSfgijgfSQ2Uw==

Variable Type

f10421964 Location:

Variable Format: character

Notes: UNF:6:+b5pqMLXWMwbFYt6u5ixBg==

Variable Name

f10421966 Location:

Variable Format: character

Notes: UNF:6:x6RJZ50uEgeICGxQ1wCuTA==

Variable Label

f10421966 Location:

Variable Format: character

Notes: UNF:6:MH1hE4Ruev5OjP08WCkszA==

Answer Label

f10421966 Location:

Variable Format: character

Notes: UNF:6:7frMrXZbR3VnU+KxA8CLTg==

Answer Code

f10421966 Location:

Summary Statistics: StDev 1.6698238494858337; Min. 0.0; Max. 6.0; Valid 56.0; Mean 1.8928571428571432;

Variable Format: numeric

Notes: UNF:6:U1wpWVQ03sRT+cXtmVNzCg==

Variable Type

f10421966 Location:

Variable Format: character

Notes: UNF:6:0KIQo0THZt3efqJkqMkPAQ==

Variable Name

f10421960 Location:

Variable Format: character

Notes: UNF:6:hooIBLuDLBURprogF/Hl4w==

Variable Label

f10421960 Location:

Variable Format: character

Notes: UNF:6:aA/k3ON+x6ek/9bn2i4l7A==

Answer Label

f10421960 Location:

Variable Format: character

Notes: UNF:6:dCtin/hDc3bCpjCJztQJfw==

Answer Code

f10421960 Location:

Summary Statistics: Min. 0.0; StDev 0.8998792189486611; Max. 3.0; Mean 0.875; Valid 24.0

Variable Format: numeric

Notes: UNF:6:MERTjlpNigEmLkg2aCjHbw==

Variable Type

f10421960 Location:

Variable Format: character

Notes: UNF:6:H8wohcWS0AzQYu3KL5JLpQ==

Variable Name

f10421962 Location:

Variable Format: character

Notes: UNF:6:USI8TOCz9UAHog3qbdd4mg==

Variable Label

f10421962 Location:

Variable Format: character

Notes: UNF:6:UZraQknekVQ9tM5vg/W+HQ==

Answer Label

f10421962 Location:

Variable Format: character

Notes: UNF:6:b6TGrkQ1dNspZel+yImQQw==

Answer Code

f10421962 Location:

Summary Statistics: Min. 0.0; Valid 60.0; StDev 1.5941276416438894; Max. 5.0; Mean 2.0333333333333337

Variable Format: numeric

Notes: UNF:6:GJWdQHxaltIoVdxYG8U04Q==

Variable Type

f10421962 Location:

Variable Format: character

Notes: UNF:6:6Jwp1RpXvI8OqrUm8Altig==

Variable Name

f10421963 Location:

Variable Format: character

Notes: UNF:6:zEla5oMKMNUgow9HP0gj/Q==

Variable Label

f10421963 Location:

Variable Format: character

Notes: UNF:6:y/UEpGLjoO9/rucYlyKz+w==

Answer Label

f10421963 Location:

Variable Format: character

Notes: UNF:6:VGwACyuknkZY5gystMaoUg==

Answer Code

f10421963 Location:

Summary Statistics: StDev 1.862773419401854; Min. 0.0; Valid 57.0; Max. 6.0; Mean 2.6842105263157894;

Variable Format: numeric

Notes: UNF:6:kXdmAdkkfcxBCY8RoW1KTA==

Variable Type

f10421963 Location:

Variable Format: character

Notes: UNF:6:6g2LdatN2p273ILAWxXtTA==

Variable Name

f10421965 Location:

Variable Format: character

Notes: UNF:6:ZCSgk1CmtKW+BnZFIMIlZg==

Variable Label

f10421965 Location:

Variable Format: character

Notes: UNF:6:HuW12vkS0b1c/OBLBUJvLQ==

Answer Label

f10421965 Location:

Variable Format: character

Notes: UNF:6:V1ujwrCUv+H33zilCwsgyw==

Answer Code

f10421965 Location:

Summary Statistics: Max. 1.0; Mean 0.5; Min. 0.0; StDev 0.5222329678670935; Valid 12.0;

Variable Format: numeric

Notes: UNF:6:S0Ag7uVjwQtSihJF19unHQ==

Variable Type

f10421965 Location:

Variable Format: character

Notes: UNF:6:5SVhDaf6IhLwQ8W9Spv/Ig==

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