Household survey data of integrated land and water management for adaptation to climate variability and change in West Africa. (doi:10.7910/DVN/2PZOPV)

View:

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

Household survey data of integrated land and water management for adaptation to climate variability and change in West Africa.

doi:10.7910/DVN/2PZOPV

Harvard Dataverse

2019-05-29

1

Mwungu, Chris M; Kizito, Fred; Mwongera, Caroline; Koech, Nicholas; Odhiambo, Collins, 2019, "Household survey data of integrated land and water management for adaptation to climate variability and change in West Africa.", https://doi.org/10.7910/DVN/2PZOPV, Harvard Dataverse, V1, UNF:6:HFjgHwi/SuHwged4IsfucA== [fileUNF]

Household survey data of integrated land and water management for adaptation to climate variability and change in West Africa.

doi:10.7910/DVN/2PZOPV

Mwungu, Chris M (International Center for Tropical Agriculture - CIAT)

Kizito, Fred (International Institute of Tropical Agriculture - IITA)

Mwongera, Caroline (International Center for Tropical Agriculture - CIAT)

Koech, Nicholas (International Center for Tropical Agriculture - CIAT)

Odhiambo, Collins (International Center for Tropical Agriculture - CIAT)

International Center for Tropical Agriculture

2018-05

Harvard Dataverse

International Center for Tropical Agriculture

CIAT Data and Research Methods

Bejarano Lozano, Yesica

2019-05-29

https://doi.org/10.7910/DVN/2PZOPV

Agricultural Sciences, Earth and Environmental Sciences, Resilience, Adaptive capacity, Vulnerability, Food security, Climate change and variability, Climate-smart agriculture, Climate shocks, West Africa, Africa, Decision and Policy Analysis - DAPA

Agricultural economics, Climate science, Social sciences, Agricultural sciences

This data was collected in seven west African countries namely Nigeria, Burkina Faso, Sierra Leone, Benin, Gambia and Senegal. In 2012, the Danish government funded seven projects in west Africa to help small scale farmers adapt to the negative effects of climate change. These projects were implemented by West and Central African Council for Agricultural Research and Development (CORAF/WECARD). In 2018, the International Center for Tropical Agriculture (CIAT), International Water Management Institute (IWMI) and International Food Policy Research Institute (IFPRI) were commissioned by the world bank to evaluate the results and impact of these projects. The main objective of collecting this data was to conduct an impact assessment, identify success stories of the seven projects and identify site specific land and water management practices that can be scaled out to enhance farmer’s resilience to climate change and variability.

2018-05-01-

2018-06-01-

Nigeria, Senegal, Burkina Faso, Sierra Leone, Benin, Gambia

Small scale farmers in the selected West African countries.

Survey Data

Socio-economic Data

Soil Data

Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> <Strong>Disclaimer</Strong> <P> Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. </P>

• Number of cases: 5959

• No. of variables per record: 14

• Type of File: text/tab-separated-values

UNF:6:sB3U1t6ZU1uDXDTEDoxlyw==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 5959

• No. of variables per record: 14

• Type of File: text/tab-separated-values

UNF:6:5BdELFBeFaHWoc3evUaeJA==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 368

• No. of variables per record: 25

• Type of File: text/tab-separated-values

UNF:6:/YzuPcpZvWB3p+3Srko9yQ==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 368

• No. of variables per record: 25

• Type of File: text/tab-separated-values

UNF:6:jBrv1WdJ6I1MHPf7ifozqQ==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 696

• No. of variables per record: 10

• Type of File: text/tab-separated-values

UNF:6:hnN5KRWtlURAa8rPfuR2MQ==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 696

• No. of variables per record: 10

• Type of File: text/tab-separated-values

UNF:6:yAKOFfnITCi1t0wpo+wp8w==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 2114

• No. of variables per record: 17

• Type of File: text/tab-separated-values

UNF:6:7k939Zt998ayeBtgtkktBg==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 2114

• No. of variables per record: 17

• Type of File: text/tab-separated-values

UNF:6:kqz3IOaK1wK0LQyb3QlJhQ==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 3625

• No. of variables per record: 31

• Type of File: text/tab-separated-values

UNF:6:R3rCKdelK2cknzKNLerUzw==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 3625

• No. of variables per record: 31

• Type of File: text/tab-separated-values

UNF:6:CrKbSiyaSBsi1bvfhTXevg==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 1272

• No. of variables per record: 22

• Type of File: text/tab-separated-values

UNF:6:+rbU4nca8re2vTALpGNzgg==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 1272

• No. of variables per record: 22

• Type of File: text/tab-separated-values

UNF:6:0R46SIaaR7G7uP7az2mb5g==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 2737

• No. of variables per record: 11

• Type of File: text/tab-separated-values

UNF:6:lUIAHiefUvy5u4rwKxSM+g==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 2737

• No. of variables per record: 11

• Type of File: text/tab-separated-values

UNF:6:X+ohJzvDN+VHAbiBCuQYLQ==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 1018

• No. of variables per record: 9

• Type of File: text/tab-separated-values

UNF:6:pGwHLM14EZseoPR5gIyxxw==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 1018

• No. of variables per record: 9

• Type of File: text/tab-separated-values

UNF:6:q++XIHgq8cJBFWraNOb1hw==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 1411

• No. of variables per record: 139

• Type of File: text/tab-separated-values

UNF:6:qk8UZ3IENwxj03/OWiy+Cg==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 1411

• No. of variables per record: 139

• Type of File: text/tab-separated-values

UNF:6:TGFXv1DQbPqgzpfhZ5/R3Q==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 630

• No. of variables per record: 19

• Type of File: text/tab-separated-values

UNF:6:8/NTKU2RwIvgOTDL8NHT1A==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 630

• No. of variables per record: 19

• Type of File: text/tab-separated-values

UNF:6:9T70pCFHOqUidVOxx/ewnQ==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 2229

• No. of variables per record: 10

• Type of File: text/tab-separated-values

UNF:6:fXrXwf16TRctwAywiFRZIg==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 2229

• No. of variables per record: 10

• Type of File: text/tab-separated-values

UNF:6:7MxNsgha7JotufVX4agAxw==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 1477

• No. of variables per record: 16

• Type of File: text/tab-separated-values

UNF:6:gTcDByJMchllenLpAXmgzA==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 1477

• No. of variables per record: 16

• Type of File: text/tab-separated-values

UNF:6:4Asnnj48s2Hokg/aeLbBog==

The actual datasets that were collected. Data in STATA (DTA) format.

• Number of cases: 840

• No. of variables per record: 27

• Type of File: text/tab-separated-values

UNF:6:5UsVWD/Egt8hGvYFjmT0oQ==

The actual datasets that were collected. Data in CSV format.

• Number of cases: 840

• No. of variables per record: 27

• Type of File: text/tab-separated-values

UNF:6:tjk8KwOehRlE9pRMBN6JbQ==

The actual datasets that were collected. Data in STATA (DTA) format.

• KEY - KEY
• Country - Country
• Asset_Name - Asset_Name
• Owned_2016 - Owned_2016
• Number_Owned - Number_Owned
• Means_to_acquire1 - Means_to_acquire1
• Means_to_acquire2 - Means_to_acquire2
• Means_to_acquire3 - Means_to_acquire3
• Received_4rom_ILWAC - Received_4rom_ILWAC
• Access_in_2016 - Access_in_2016
• Asset_DM1 - Asset_DM1
• Asset_DM2 - Asset_DM2
• Asset_DM3 - Asset_DM3
• Asset_DM4 - Asset_DM4
• KEY - Household Unique ID
• Country - Country
• Asset_Name - Asset Name
• Owned_2016 - Owned Asset in 2016
• Number_Owned - Number of Assets owned in 2016
• Means_to_acquire1 - Means of acquiring Asset in 2016
• Means_to_acquire2 - Means of acquiring Asset in 2017
• Means_to_acquire3 - Means of acquiring Asset in 2018
• Received_4rom_ILWAC - Number received from ILWAC?
• Access_in_2016 - Access to the Assest in 2016?
• Asset_DM1 - Who makes major decisions regarding use of the Asset
• Asset_DM2 - Who makes major decisions regarding use of the Asset
• Asset_DM3 - Who makes major decisions regarding use of the Asset
• Asset_DM4 - Who makes major decisions regarding use of the Asset
• KEY - KEY
• Country - Country
• Technology - Technology
• Tech_Heard - Tech_Heard
• Tech_Info_Source - Tech_Info_Source
• Tech_Trained - Tech_Trained
• Tech_Trainer - Tech_Trainer
• Year_Trained - Year_Trained
• Traning_Times - Traning_Times
• Tech_Use - Tech_Use
• Tech_First_Use - Tech_First_Use
• Tech_Used_12M - Tech_Used_12M
• Tech_Last_Used - Tech_Last_Used
• Tech_Stopped - Tech_Stopped
• Tech_Benefits - Tech_Benefits
• Tech_DM1 - Tech_DM1
• Tech_DM2 - Tech_DM2
• Tech_DM3 - Tech_DM3
• Tech_Access1 - Tech_Access1
• Tech_Access2 - Tech_Access2
• Tech_Access3 - Tech_Access3
• Tech_Access4 - Tech_Access4
• Tech_Share - Tech_Share
• People_Shared - People_Shared
• People_Adopted - People_Adopted
• KEY - Household Unique ID
• Country - Country
• Technology - Technology
• Tech_Heard - Heard about technology
• Tech_Info_Source - Where did you hear from?
• Tech_Trained - Received Training on technology
• Tech_Trainer - Technology Trainer
• Year_Trained - When last received training
• Traning_Times - Number of times trained this year
• Tech_Use - Ever used the technology
• Tech_First_Use - When did you first use the technology?
• Tech_Used_12M - Used technology in the last 12months
• Tech_Last_Used - When last did you use the technology?
• Tech_Stopped - Why did you stop using ?
• Tech_Benefits - What benefits does have?
• Tech_DM1 - Who decides on the use of technology
• Tech_DM2 - Who decides on the use of technology
• Tech_DM3 - Who decides on the use of technology
• Tech_Access1 - Who has access to technology
• Tech_Access2 - Who has access to technology
• Tech_Access3 - Who has access to technology
• Tech_Access4 - Who has access to technology
• Tech_Share - Have you shared technology with other people?
• People_Shared - Number of people shared
• People_Adopted - Number of people adopted
• KEY - KEY
• Country - Country
• Technology - Technology
• Qty_Recieved - Qty_Recieved
• Tech_Benefits - Tech_Benefits
• Tech_DM - Tech_DM
• Tech_Money_Use1 - Tech_Money_Use1
• Tech_Money_Use2 - Tech_Money_Use2
• DM_Input_Level - DM_Input_Level
• DM_Extent - DM_Extent
• KEY - Household Unique ID
• Country - Country
• Technology - Technology Adapted
• Qty_Recieved - Quantity Received
• Tech_Benefits - Benefit Received
• Tech_DM - Who makes major decisions on the use of the technology
• Tech_Money_Use1 - Who makes major decisions on money realized from th etechnology
• Tech_Money_Use2 - Who makes major decisions on money realized from th etechnology
• DM_Input_Level - Input Level in Decision making
• DM_Extent - Extent of personal decision
• KEY - KEY
• Country - Country
• Shock - Shock
• Year_Experienced1 - Year_Experienced1
• Year_Experienced2 - Year_Experienced2
• Year_Experienced3 - Year_Experienced3
• Year_Experienced4 - Year_Experienced4
• Year_Experienced5 - Year_Experienced5
• Action_Taken1 - Action_Taken1
• Action_Taken2 - Action_Taken2
• Action_Taken3 - Action_Taken3
• Action_Taken4 - Action_Taken4
• Action_Taken5 - Action_Taken5
• Shock_Widespread - Shock_Widespread
• Noaction_Reason1 - Noaction_Reason1
• Noaction_Reason2 - Noaction_Reason2
• Noaction_Reason3 - Noaction_Reason3
• KEY - Household Unique ID
• Country - Country
• Shock - Shock
• Year_Experienced1 - When was the shock experienced in the last 5 years
• Year_Experienced2 - When was the shock experienced in the last 5 years
• Year_Experienced3 - When was the shock experienced in the last 5 years
• Year_Experienced4 - When was the shock experienced in the last 5 years
• Year_Experienced5 - When was the shock experienced in the last 5 years
• Action_Taken1 - What did you do in presence of the shock
• Action_Taken2 - What did you do in presence of the shock
• Action_Taken3 - What did you do in presence of the shock
• Action_Taken4 - What did you do in presence of the shock
• Action_Taken5 - What did you do in presence of the shock
• Shock_Widespread - How widespread was the shock?
• Noaction_Reason1 - Reason for not doing anything
• Noaction_Reason2 - Reason for not doing anything
• Noaction_Reason3 - Reason for not doing anything
• KEY - KEY
• Country - Country
• Crop - Crop
• Crop_Area - Crop_Area
• Unit_Area - Unit_Area
• Plot_Ownership - Plot_Ownership
• Crop_system - Crop_system
• Irrigation - Irrigation
• Fert_Qaunt - Fert_Qaunt
• Units_Fert - Units_Fert
• Used_Manure - Used_Manure
• Used_Herbicide - Used_Herbicide
• Input_Source - Input_Source
• Hire_Labor - Hire_Labor
• Total_Output - Total_Output
• Units_Output - Units_Output
• Quantity_Sold - Quantity_Sold
• Units_Qty_Sold - Units_Qty_Sold
• Price - Price
• Currency - Currency
• Post_Harvest_loss - Post_Harvest_loss
• Units_Lost - Units_Lost
• Quantity_Consumed - Quantity_Consumed
• Units_Consumed - Units_Consumed
• Quantity_Given - Quantity_Given
• Units_Given - Units_Given
• Quantity_Stored - Quantity_Stored
• Units_Stored - Units_Stored
• Control_Harvest1 - Control_Harvest1
• Control_Harvest2 - Control_Harvest2
• Control_Harvest3 - Control_Harvest3
• KEY - Household Unique ID
• Country - Country
• Crop - Crop Name
• Crop_Area - Area for Crop
• Unit_Area - Area Units
• Plot_Ownership - Plot Ownership for the crop
• Crop_system - Cropping system
• Irrigation - Crop irrigated?
• Fert_Qaunt - Fertilizer quantity used for the crop
• Units_Fert - Fertilizer Units
• Used_Manure - Used manure or compost in cultivating the crop
• Used_Herbicide - Used herbicide/pesticides in cultivating the crop
• Input_Source - Source of the input used in cultivating the crop
• Hire_Labor - Did you hire labor to produce the crop
• Total_Output - Total Output of the crop
• Units_Output - Output Units
• Quantity_Sold - Quantity of the crop sold
• Units_Qty_Sold - Units
• Price - Output Price
• Currency - Currency
• Post_Harvest_loss - Post harvest losses
• Units_Lost - Units
• Quantity_Consumed - Quantity Consumed
• Units_Consumed - Units
• Quantity_Given - Quantity given as a gift to neighbours, relatives or friends
• Units_Given - Units
• Quantity_Stored - Quantity in the store/not consumed, sold nor given away as a gift
• Units_Stored - Units
• Control_Harvest1 - Who controls harvest/product of the crop from this plot
• Control_Harvest2 - Who controls harvest/product of the crop from this plot
• Control_Harvest3 - Who controls harvest/product of the crop from this plot
• Key - Key
• Country - Country
• Technology - Technology
• Heard_Tech - Heard_Tech
• Trained_Tech - Trained_Tech
• Trainer_Tech - Trainer_Tech
• When_Trained - When_Trained
• Training_Times - Training_Times
• Used_Tech - Used_Tech
• Used_Tech_First - Used_Tech_First
• Used_Tech_12months - Used_Tech_12months
• Tech_Benefits - Tech_Benefits
• Used_Tech_Before - Used_Tech_Before
• Reason_stopped - Reason_stopped
• Tech_DM1 - Tech_DM1
• Tech_DM2 - Tech_DM2
• Tech_Access - Tech_Access
• Tech_Shared - Tech_Shared
• Tech_How - Tech_How
• Tech_Decision1 - Tech_Decision1
• Tech_Decision2 - Tech_Decision2
• DM_Extent - DM_Extent
• Key - Key
• Country - Country
• Technology - Name of Technology
• Heard_Tech - Have you ever heard about Technology
• Trained_Tech - Did you receive training on how to use the Technology
• Trainer_Tech - Who gave the training on the Technology
• When_Trained - When did you receive the training on the Technology
• Training_Times - How many times did you receive training on the technology 2018
• Used_Tech - Have you ever used the Technology
• Used_Tech_First - When did you first use the Technology
• Used_Tech_12months - Did you use the technology in the last 12 months?
• Tech_Benefits - What benefits does the technology has?
• Used_Tech_Before - If No, when last did you use the technology
• Reason_stopped - Why did you stop using the technology
• Tech_DM1 - Who decides on the use of the technology
• Tech_DM2 - Who decides on the use of the technology
• Tech_Access - Who has access to the technology
• Tech_Shared - Have you shared the technology with other people?
• Tech_How - How many people shared with
• Tech_Decision1 - Who makes decision about what to do with the money realized from the technology
• Tech_Decision2 - Who makes decision about what to do with the money realized from the technology
• DM_Extent - Extent of DM towards the Technology
• KEY - KEY
• Country - Country
• Live_Name - Live_Name
• Number_Owned - Number_Owned
• Number_Sold - Number_Sold
• Price - Price
• Currency - Currency
• Buy_Feeds - Buy_Feeds
• Live_DM1 - Live_DM1
• Live_DM2 - Live_DM2
• Live_DM3 - Live_DM3
• KEY - Household Unique ID
• Country - Country
• Live_Name - Livestock Name
• Number_Owned - Number Owned
• Number_Sold - Number Sold
• Price - Livestock Price
• Currency - Currency
• Buy_Feeds - Bought Feeds in 2016
• Live_DM1 - Who makes decisions on sale, giving away or use
• Live_DM2 - Who makes most decisions on sale, giving away or use etc of ${calc4} in 2016? (
• Live_DM3 - Who makes most decisions on sale, giving away or use etc of ${calc4} in 2016? (
• KEY - KEY
• Country - Country
• live_prd - live_prd
• Qty_Prd - Qty_Prd
• Prd_units - Prd_units
• Qty_Sold - Qty_Sold
• Sell_Units - Sell_Units
• Price - Price
• Currency - Currency
• KEY - Household Unique ID
• Country - Country
• live_prd - Livestock Products
• Qty_Prd - Quantity Produced
• Prd_units - Units
• Qty_Sold - Quantity Sold
• Sell_Units - Units
• Price - Product Price in USD
• Currency - Currency
• KEY - KEY
• conset - conset
• Country - Country
• Year - Year
• Sex - Sex
• Marital_Status - Marital_Status
• Education - Education
• Occupation - Occupation
• HH_Members - HH_Members
• BelowFifteen - BelowFifteen
• Btwn16and60 - Btwn16and60
• Above60 - Above60
• LiterateMem - LiterateMem
• IP_Aware - IP_Aware
• IP_participate - IP_participate
• Trans_output_mkt - Trans_output_mkt
• Time_output_mkt - Time_output_mkt
• time_unit1 - time_unit1
• Trans_agric_input - Trans_agric_input
• Time_input_mkt - Time_input_mkt
• time_unit2 - time_unit2
• Trans_neartown - Trans_neartown
• Time_Town - Time_Town
• time_unit3 - time_unit3
• Trans_waterrain - Trans_waterrain
• Time_waterdry - Time_waterdry
• time_unit4 - time_unit4
• Trans_waterdry - Trans_waterdry
• Time_waterrain - Time_waterrain
• time_unit5 - time_unit5
• Trans_liv_dry - Trans_liv_dry
• Time_Liv - Time_Liv
• time_unit6 - time_unit6
• Trans_livdrysn - Trans_livdrysn
• Time_liv_dry - Time_liv_dry
• time_unit7 - time_unit7
• Trans_energydry - Trans_energydry
• Time_energydry - Time_energydry
• time_unit8 - time_unit8
• Trans_livrainy - Trans_livrainy
• Time_energyrain - Time_energyrain
• time_unit9 - time_unit9
• Trans_Exte - Trans_Exte
• Time_exte - Time_exte
• time_unit10 - time_unit10
• Trans_Health - Trans_Health
• Time_health - Time_health
• time_unit11 - time_unit11
• Water_source - Water_source
• Natural_spring - Natural_spring
• Income_Agro - Income_Agro
• Desision_Agro - Desision_Agro
• Income_Fish - Income_Fish
• Decision_Fish - Decision_Fish
• Income_Wild - Income_Wild
• Decision_Wild - Decision_Wild
• Income_Salaries - Income_Salaries
• Decision_salaries - Decision_salaries
• Income_remittances - Income_remittances
• Decision_Remittanc - Decision_Remittanc
• Income_Livandprod - Income_Livandprod
• Decision_Liv - Decision_Liv
• Income_Crops - Income_Crops
• Decision_Crops - Decision_Crops
• G1_1 - G1_1
• G1_2 - G1_2
• G1_3 - G1_3
• G1_4 - G1_4
• G1_5 - G1_5
• Years_in_Vill - Years_in_Vill
• Climate_info - Climate_info
• Clim_info_use - Clim_info_use
• Train_climuse - Train_climuse
• Clim_compare - Clim_compare
• Enough_food - Enough_food
• Enough_often - Enough_often
• Pref_food - Pref_food
• Pref_often - Pref_often
• Lim_food - Lim_food
• Lim_often - Lim_often
• Unliked_food - Unliked_food
• Unliked_often - Unliked_often
• Small_meal - Small_meal
• Small_often - Small_often
• Few_meal - Few_meal
• Few_often - Few_often
• No_food - No_food
• Nofood_often - Nofood_often
• Sleep_hungry - Sleep_hungry
• Hungry_often - Hungry_often
• Daynight_hungry - Daynight_hungry
• Daynight_often - Daynight_often
• Save_cash - Save_cash
• Who_obtain - Who_obtain
• Where_save - Where_save
• Tot_saved - Tot_saved
• In_kind - In_kind
• Tot_inkind - Tot_inkind
• Access_cred - Access_cred
• Obtain_cred - Obtain_cred
• Tot_cred - Tot_cred
• Credit_sourc - Credit_sourc
• IP_partSen - IP_partSen
• IP_meetSen - IP_meetSen
• AM_IPpart - AM_IPpart
• AM_IPmeet - AM_IPmeet
• AM_erosn2013 - AM_erosn2013
• AM_erosn2016 - AM_erosn2016
• AM_training - AM_training
• AM_implement - AM_implement
• AM_hearagro - AM_hearagro
• AM_useagro - AM_useagro
• AM_Yr_used - AM_Yr_used
• AM_trees - AM_trees
• AM_irrigate - AM_irrigate
• AM_Agro_use - AM_Agro_use
• AM_lastuse - AM_lastuse
• AM_decidagro - AM_decidagro
• AM_share - AM_share
• AM_ppleshare - AM_ppleshare
• AM_adopt - AM_adopt
• NG_landvalley - NG_landvalley
• NG_landsiz - NG_landsiz
• NG_landunit - NG_landunit
• NG_watersrcbot - NG_watersrcbot
• NG_irrigbotrain - NG_irrigbotrain
• NG_irrigunitrain - NG_irrigunitrain
• NG_irrigbotdry - NG_irrigbotdry
• NG_irrigunitdry - NG_irrigunitdry
• NG_landchange - NG_landchange
• NG_byhowmuch - NG_byhowmuch
• GA_irrigrain - GA_irrigrain
• GA_landirrigrain - GA_landirrigrain
• GA_landunitrain - GA_landunitrain
• GA_irrigdry - GA_irrigdry
• GA_landirrigdry - GA_landirrigdry
• GA_landunitdry - GA_landunitdry
• BE_IPpart - BE_IPpart
• BE_oftenmeet - BE_oftenmeet
• KEY - Household Unique ID
• conset - Does the household head/respondent consent to provide information?
• Country - Country of project intervention
• Year - Household Head Year of Birth
• Sex - Sex of respondent
• Marital_Status - What is the marital status of the respondent?
• Education - highest level of formal education completed
• Occupation - Main Occupation
• HH_Members - Number of household members in the last 12 months
• BelowFifteen - Members 15 years and below
• Btwn16and60 - Members above 16 and below or 60 years
• Above60 - Members above 60 years
• LiterateMem - How many members in this family can read and write?
• IP_Aware - Have you ever heard or are you aware about innovation platform?
• IP_participate - Did any member of the household participate in innovation platform (IP) in the l
• Trans_output_mkt - What mode of transport do you MAINLY use to access agricultural output market
• Time_output_mkt - How far in travelling time is the nearest agricultural output market?
• time_unit1 - Units for travelling time
• Trans_agric_input - What mode of transport do you MAINLY use to access agricultural input (fertilize
• Time_input_mkt - How far in travelling time is the nearest agricultural input (fertilizers, seeds
• time_unit2 - Time Units
• Trans_neartown - What mode of transport do you MAINLY use travelling to
• Time_Town - What was the time taken travelling to nearest town with 50,000 inhabi in 2016?
• time_unit3 - Time Units
• Trans_waterrain - What mode of transport do you MAINLY use to access source of drinking water duri
• Time_waterdry - How far in travelling time is the nearest source of drinking water during dry se
• time_unit4 - Time Units
• Trans_waterdry - What mode of transport do you MAINLY use to access the source of drinking water
• Time_waterrain - How far in travelling time is the nearest source of drinking water during rainy
• time_unit5 - Time Units
• Trans_liv_dry - What mode of transport do you MAINLY use to access the source of water for lives
• Time_Liv - How far in travelling time (in minutes) is the nearest source of water for lives
• time_unit6 - Time Units
• Trans_livdrysn - What mode of transport do you MAINLY use to access the source of water for lives
• Time_liv_dry - How far in travelling time is the nearest source of water for livestock during r
• time_unit7 - Time Units
• Trans_energydry - What mode of transport do you MAINLY use to access the source of cooking energy
• Time_energydry - How far in travelling time is the nearest source of cooking energy during dry se
• time_unit8 - Time Units
• Trans_livrainy - What mode of transport do you MAINLY use to access the source of cooking energy
• Time_energyrain - How far in travelling time is the nearest source of cooking energy during rainy
• time_unit9 - Units for travelling time
• Trans_Exte - What mode of transport do you MAINLY use to access agricultural extension office
• Time_exte - How far in travelling time is the nearest agricultural extension office
• time_unit10 - Units for travelling time
• Trans_Health - What mode of transport do you MAINLY use to access the health center
• Time_health - How far in travelling time is the nearest health center?
• time_unit11 - Units for travelling time
• Water_source - What is the main source of water for domestic and agricultural use during the ra
• Natural_spring - What is the main source of water for domestic and agricultural use during the ra
• Income_Agro - Income from forest & agro forestry products in 2016
• Desision_Agro - Who makes most decisions on the use of income from forest & agro forestry produc
• Income_Fish - Income from fisheries & aquaculture in 2016
• Decision_Fish - Who makes most decisions on the use of income from fisheries and aquaculture
• Income_Wild - Income from wild animals hunted in 2016
• Decision_Wild - Who makes most decisions on the use of income from wild animals hunted
• Income_Salaries - Income from salaries/ wages in 2016
• Decision_salaries - Who makes most decisions on the use of income from salaries/wages
• Income_remittances - Income from remittances in 2016
• Decision_Remittanc - Who makes most decisions on the use of income from remittances
• Income_Livandprod - Income from livestock and livestock products
• Decision_Liv - Who makes most decisions on the use of income from livestock and livestock produ
• Income_Crops - Income from crop and crop products
• Decision_Crops - Who makes most decisions on the use of income from crop and crop products
• G1_1 - Among the products/services selected above, kindly indicate the outcome in terms
• G1_2 - Among the products/services selected above, kindly indicate the outcome in terms
• G1_3 - Among the products/services selected above, kindly indicate the outcome in terms
• G1_4 - Among the products/services selected above, kindly indicate the outcome in terms
• G1_5 - Among the products/services selected above, kindly indicate the outcome in terms
• Years_in_Vill - How long have you stayed in this village continuously?
• Climate_info - Did you receive any climate-related information in the cropping years between 20
• Clim_info_use - Were you able to use the climate information in making agronomic decisions on yo
• Train_climuse - Were you trained on utilizing climate information?
• Clim_compare - Comparing the climate and or weather in your youth and that of today, have you n
• Enough_food - In the past four weeks, did you worry that your household would not have enough
• Enough_often - How often did this happen?
• Pref_food - In the past four weeks, were you or any household member not able to eat the kin
• Pref_often - How often did this happen?
• Lim_food - In the past four weeks, did you or any household member have to eat a limited va
• Lim_often - How often did this happen?
• Unliked_food - In the past four weeks, did you or any household member have to eat some foods t
• Unliked_often - How often did this happen?
• Small_meal - In the past four weeks, did you or any household member have to eat a smaller me
• Small_often - How often did this happen?
• Few_meal - In the past four weeks,did you or any household member have to eat fewer meals i
• Few_often - How often did this happen?
• No_food - In the past four weeks, was there ever no food to eat of any kind in your househ
• Nofood_often - How often did this happen?
• Sleep_hungry - In the past four weeks, did you or any household member go to sleep at night hun
• Hungry_often - How often did this happen?
• Daynight_hungry - In the past four weeks, did you or any household member go a whole day and night
• Daynight_often - How often did this happen?
• Save_cash - Does your household make cash savings?
• Who_obtain - Who in the household obtained credit?
• Where_save - Where do you mainly save?
• Tot_saved - What is the total value of household money savings per month?
• In_kind - Does your household do in-kind savings (livestock, building house to rent out ,
• Tot_inkind - What is the value of your household's in-kind savings
• Access_cred - Do you have access to micro-credit facility?
• Obtain_cred - Did you obtain microcredit facility in 2016?
• Tot_cred - How much did you obtain as micro-credit in 2016?
• Credit_sourc - What is the first source of micro-credit
• IP_partSen - Did you participate in an innovation platform?
• IP_meetSen - How often did you attend the meetings in platforms?
• AM_IPpart - Did you participate in an innovation platform
• AM_IPmeet - How often did you attend the meetings in platforms
• AM_erosn2013 - On a scale of 1 (no erosion at all) to 5 (Severe erosion), how severe was soil e
• AM_erosn2016 - On a scale of 1 (no erosion at all) to 5 (Severe erosion), how severe was soil e
• AM_training - Did you receive training on soil erosion control?
• AM_implement - If yes, have you implemented this technology on your farm?
• AM_hearagro - Have you ever heard about agroforestry?
• AM_useagro - Have you ever used agroforestry
• AM_Yr_used - When did you first use agroforestry?
• AM_trees - Type of trees used in agroforestry
• AM_irrigate - Did you irrigate the trees?
• AM_Agro_use - Did you use agroforestry in the last 12 months?
• AM_lastuse - When did last you use agroforestry?
• AM_decidagro - Who decides on the use of agroforestry?
• AM_share - Have you shared agroforestry with other people?
• AM_ppleshare - How many people have you shared the information on agroforestry?
• AM_adopt - Among the people you shared with,how many people have adopted agroforestry?
• NG_landvalley - Do you have access to land in the valley bottom?
• NG_landsiz - How much land in hactares did you cultivate in the valley bottom in 2016?
• NG_landunit - Select Units
• NG_watersrcbot - What was the source of the irrigation water in the valley bottom in 2016?
• NG_irrigbotrain - How much area did you irrigate in the valley bottom in the rainy season in 2016?
• NG_irrigunitrain - Select Units
• NG_irrigbotdry - How much area did you irrigate in the valley bottom in the dry season in 2016?
• NG_irrigunitdry - Select Units
• NG_landchange - When you compare 2016 and back in 2012, has the amount of land that is irrigated
• NG_byhowmuch - If increased, by how much has the irrigated land in the valley bottom increased?
• GA_irrigrain - Did you irrigate land in rainy season?
• GA_landirrigrain - How much land do you irrigate in rainy season?
• GA_landunitrain - Select units
• GA_irrigdry - Do you irrigate land in dry season?
• GA_landirrigdry - How much land do you irrigate in dry season?
• GA_landunitdry - Select units
• BE_IPpart - Did you participate in an innovation platform?
• BE_oftenmeet - How often did you attend the meetings in platforms?
• KEY - KEY
• Country - Country
• Technology - Technology
• Heard_Tech - Heard_Tech
• Tech_Info_Source - Tech_Info_Source
• Trained_on_Tech - Trained_on_Tech
• Training_Provider - Training_Provider
• Year_Trained - Year_Trained
• Training_times - Training_times
• Ever_Used_Tech - Ever_Used_Tech
• Year_First_Used - Year_First_Used
• Used_12_Months - Used_12_Months
• Year_Last_Used - Year_Last_Used
• Why_Stopped - Why_Stopped
• Tech_DM - Tech_DM
• Tech_Access - Tech_Access
• Tech_Shared - Tech_Shared
• Shared_Number - Shared_Number
• People_Adopted - People_Adopted
• KEY - Household Unique ID
• Country - Country
• Technology - Technology
• Heard_Tech - Have you ever heard about the technology?
• Tech_Info_Source - Source of Information
• Trained_on_Tech - Received training on the technology
• Training_Provider - Training Provider
• Year_Trained - Year recived training
• Training_times - Number of times for training
• Ever_Used_Tech - Ever used the technology
• Year_First_Used - Year first used the technology
• Used_12_Months - Used technology in thelast 12 months
• Year_Last_Used - When last used the technology
• Why_Stopped - Reason for stopping using the technology
• Tech_DM - Who decides on the use of the technology
• Tech_Access - Who has access to the technology
• Tech_Shared - Have you shared the technology with other people?
• Shared_Number - How many people have you shared the information with
• People_Adopted - Among the people you shared with,how many people have adopted
• KEY - KEY
• Country - Country
• Tech_Name - Tech_Name
• Received_Tech - Received_Tech
• DM_Tech0 - DM_Tech0
• DM_Tech1 - DM_Tech1
• DM_Money1 - DM_Money1
• DM_Money2 - DM_Money2
• Input_Level - Input_Level
• DM_Extent - DM_Extent
• KEY - Household Unique ID
• Country - Country
• Tech_Name - Technology Name
• Received_Tech - Received Technology
• DM_Tech0 - Who makes decision on the use of the technology in the household
• DM_Tech1 - Who makes decision on the use of the technology in the household
• DM_Money1 - Who makes decision on the use of money realized from the technology
• DM_Money2 - Who makes decision on the use of money realized from the technology
• Input_Level - How much input did you have in making decisions on the technology?
• DM_Extent - Extent of personal decision making on the use of thechnology
• KEY - KEY
• Country - Country
• Technology - Technology
• Tech_Heard - Tech_Heard
• Tech_Info_Source - Tech_Info_Source
• Tech_Used - Tech_Used
• Tech_First_Use - Tech_First_Use
• Tech_Used_12M - Tech_Used_12M
• Tech_Benefits - Tech_Benefits
• Tech_Last_Used - Tech_Last_Used
• Tech_Stopped - Tech_Stopped
• Tech_DM - Tech_DM
• Tech_Access - Tech_Access
• Tech_Share - Tech_Share
• Tech_People - Tech_People
• People_Adopted - People_Adopted
• KEY - Household Unique ID
• Country - Country
• Technology - Technology
• Tech_Heard - Have you ever heard about technology
• Tech_Info_Source - Where did you hear from
• Tech_Used - Have you ever used the technology
• Tech_First_Use - When did you first use the technology
• Tech_Used_12M - Did you use the technology in the last 12 months?
• Tech_Benefits - Technology Benefits
• Tech_Last_Used - When last used the technology
• Tech_Stopped - Why stopped using the technology
• Tech_DM - Who decides on the use of the technology
• Tech_Access - Who has access to the technology
• Tech_Share - Shared technology with other people
• Tech_People - Number of people shared information with
• People_Adopted - Number of people adopted
• KEY - KEY
• Country - Country
• Technology - Technology
• Heard_Tech - Heard_Tech
• Tech_Info_Recieve - Tech_Info_Recieve
• Tech_Trainer - Tech_Trainer
• Training_Year - Training_Year
• Training_times - Training_times
• Tech_Used - Tech_Used
• Year_First_Used - Year_First_Used
• Used_12_Months - Used_12_Months
• Tech_Benefits - Tech_Benefits
• Year_Last_Used - Year_Last_Used
• Why_Stopped - Why_Stopped
• Tech_Decide1 - Tech_Decide1
• Tech_Decide2 - Tech_Decide2
• Tech_Decide3 - Tech_Decide3
• Tech_Access1 - Tech_Access1
• Tech_Access2 - Tech_Access2
• Tech_Access3 - Tech_Access3
• Tech_Shared - Tech_Shared
• People_Shared - People_Shared
• People_Adopted - People_Adopted
• Tech_DM_Money1 - Tech_DM_Money1
• Tech_DM_Money2 - Tech_DM_Money2
• Tech_DM_Money3 - Tech_DM_Money3
• DM_Extent - DM_Extent
• KEY - Household Unique ID
• Country - Country
• Technology - Technology Name
• Heard_Tech - Heard About Technology
• Tech_Info_Recieve - Receieved Training
• Tech_Trainer - Training Provider
• Training_Year - When Trained
• Training_times - Number of times trained
• Tech_Used - Ever used technology
• Year_First_Used - Year first used
• Used_12_Months - Used technology in the last 12 months
• Tech_Benefits - Technology benefits
• Year_Last_Used - When last used technology
• Why_Stopped - Reason stopped using the technology
• Tech_Decide1 - Who decides on the use of technology
• Tech_Decide2 - Who decides on the use of technology
• Tech_Decide3 - Who decides on the use of technology
• Tech_Access1 - Who has access to technology
• Tech_Access2 - Who has access to technology
• Tech_Access3 - Who has access to technology
• Tech_Shared - Shared technology with other people?
• People_Shared - Number of people shared
• People_Adopted - Number of people adopted
• Tech_DM_Money1 - Who makes decision about what to do with the money realized from technology
• Tech_DM_Money2 - Who makes decision about what to do with the money realized from technology
• Tech_DM_Money3 - Who makes decision about what to do with the money realized from technology
• DM_Extent - Extent of Decision making

f3440315 Location:

Variable Format: character

Notes: UNF:6:LQz0S2Blc6f9Zg5c1tTPvA==

f3440315 Location:

Variable Format: character

Notes: UNF:6:3TKjwyY2415YxYwJ+APaEw==

f3440315 Location:

Variable Format: character

Notes: UNF:6:KGJS3NFw3L3XAJ2IOf4J6Q==

f3440315 Location:

Variable Format: character

Notes: UNF:6:lE0Rq4zR88gYv7W4Pg70yA==

f3440315 Location:

Summary Statistics: Min. 1.0; Max. 70.0; Valid 4933.0; StDev 4.5316072685917455; Mean 2.9957429556051096

Variable Format: numeric

Notes: UNF:6:ibtzoo8L8U4Lpm0bJEwpHA==

f3440315 Location:

Variable Format: character

Notes: UNF:6:oXzQQbIeCsVbPoQVt3/xQg==

f3440315 Location:

Variable Format: character

Notes: UNF:6:CKKrDpgBgcn4LAprJaol1Q==

f3440315 Location:

Variable Format: character

Notes: UNF:6:ilAA47fQxk43tGeJTpVW8w==

f3440315 Location:

Summary Statistics: Mean 7.716216216216217; Max. 60.0; Min. 1.0; StDev 11.364726752413107; Valid 148.0;

Variable Format: numeric

Notes: UNF:6:AbAzELHrZCS4gPvFH/UHXg==

f3440315 Location:

Variable Format: character

Notes: UNF:6:ckKa+/0KmPGeeLQLX7Isgw==

f3440315 Location:

Variable Format: character

Notes: UNF:6:u5zOAR7hwg1uLzOgiOfNiQ==

f3440315 Location:

Variable Format: character

Notes: UNF:6:u4hpGlr6WZgFnk5wCf1L8Q==

f3440315 Location:

Variable Format: character

Notes: UNF:6:Oa6D9XCfSgXyW+K09YuCMA==

f3440315 Location:

Variable Format: character

Notes: UNF:6:Mv2bueUc9qwFycMbYdgmcQ==

f3440331 Location:

Variable Format: character

Notes: UNF:6:LQz0S2Blc6f9Zg5c1tTPvA==

f3440331 Location:

Summary Statistics: Max. 7.0; Min. 1.0; Valid 5959.0; Mean 3.421043799295204; StDev 2.135499007257503

Variable Format: numeric

Notes: UNF:6:xdPcpwq4++ykZm7lvisrvw==

f3440331 Location:

Summary Statistics: Mean 10.682894074198417; StDev 5.79748311144546; Min. 1.0; Max. 88.0; Valid 5957.0

Variable Format: numeric

Notes: UNF:6:+3N+E3xdHOZxqS615m9SnA==

f3440331 Location:

Summary Statistics: StDev 0.37683934570250915; Min. 0.0; Max. 1.0; Mean 0.8286578195867607; Valid 5953.0

Variable Format: numeric

Notes: UNF:6:iaMhbcEYDwgnuVc3QUYBHg==

f3440331 Location:

Summary Statistics: StDev 4.5316072685917455; Max. 70.0; Mean 2.9957429556051096; Min. 1.0; Valid 4933.0;

Variable Format: numeric

Notes: UNF:6:ibtzoo8L8U4Lpm0bJEwpHA==

f3440331 Location:

Summary Statistics: Min. 1.0; Valid 4933.0; Max. 4.0; StDev 0.39297607029054626; Mean 2.9424285424690857

Variable Format: numeric

Notes: UNF:6:TynxDALT50kcwmB/F3QpfA==

f3440331 Location:

Summary Statistics: Max. 4.0; Valid 111.0; Min. 1.0; StDev 0.573935649182144; Mean 3.126126126126126

Variable Format: numeric

Notes: UNF:6:gM3qKW5Oe72TUTr9IEw8Hw==

f3440331 Location:

Summary Statistics: Valid 1.0; StDev 0.0; Max. 4.0; Min. 4.0; Mean 4.0;

Variable Format: numeric

Notes: UNF:6:BAqZbkZb5UnTi8FeU5saoQ==

f3440331 Location:

Summary Statistics: Mean 7.716216216216217; Min. 1.0; Valid 148.0; StDev 11.364726752413107; Max. 60.0

Variable Format: numeric

Notes: UNF:6:AbAzELHrZCS4gPvFH/UHXg==

f3440331 Location:

Summary Statistics: Min. 0.0; Mean 0.5107843137254897; Valid 1020.0; StDev 0.5001289063949331; Max. 1.0

Variable Format: numeric

Notes: UNF:6:I3m/TLCv6H7Me5PDFSl3ug==

f3440331 Location:

Summary Statistics: StDev 1.0376409041077064; Mean 1.6565984188120828; Min. 1.0; Max. 6.0; Valid 4933.0;

Variable Format: numeric

Notes: UNF:6:AKrVCDvmbKJnBSpemQWX8A==

f3440331 Location:

Summary Statistics: StDev 1.44040422608213; Min. 2.0; Max. 6.0; Mean 3.2493297587131367; Valid 373.0

Variable Format: numeric

Notes: UNF:6:k/jm/WuZ7/BoUlenUkAVRg==

f3440331 Location:

Summary Statistics: StDev 0.7186130029324515; Min. 3.0; Valid 77.0; Mean 4.779220779220779; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:mtJ+HYCmoXp+IQb29lZUBQ==

f3440331 Location:

Summary Statistics: Valid 1.0; Max. 4.0; Mean 4.0; StDev 0.0; Min. 4.0;

Variable Format: numeric

Notes: UNF:6:kmpZ66UaYqF6ahneNE0jBg==

f3440316 Location:

Variable Format: character

Notes: UNF:6:/YMSrkUzRNpN73WT+P7z9Q==

f3440316 Location:

Variable Format: character

Notes: UNF:6:U0CT0y0gqHjTQZ0TBYowfw==

f3440316 Location:

Variable Format: character

Notes: UNF:6:Bfw7wF6Xkv1dAdqQpNWiKQ==

f3440316 Location:

Variable Format: character

Notes: UNF:6:E+mDU9WtOMDx9n86GI5OOQ==

f3440316 Location:

Variable Format: character

Notes: UNF:6:eL/D7xkqNgSrUdQoYGjiyw==

f3440316 Location:

Variable Format: character

Notes: UNF:6:ECEOwHHXRqIE6D11DCFOaA==

f3440316 Location:

Variable Format: character

Notes: UNF:6:LNxNZMKpK8pjhpXyFjomUA==

f3440316 Location:

Summary Statistics: Max. 2017.0; Mean 2014.3825503355704; Valid 149.0; StDev 1.5227877859473047; Min. 2010.0;

Variable Format: numeric

Notes: UNF:6:9C8QuSz+P5JhabM6S2b+Yw==

f3440316 Location:

Summary Statistics: Valid 149.0; Min. 0.0; Mean 2.852348993288591; StDev 2.9531838954971925; Max. 33.0

Variable Format: numeric

Notes: UNF:6:iEfe0W61vm6yctlTM3TCag==

f3440316 Location:

Variable Format: character

Notes: UNF:6:R42UYpR15wv21u9TNHMWQA==

f3440316 Location:

Summary Statistics: Mean 2012.9953271028037; Valid 214.0; StDev 2.4350678689318426; Max. 2017.0; Min. 2010.0

Variable Format: numeric

Notes: UNF:6:VfeRvY5ENEATRm5X1WQqOw==

f3440316 Location:

Variable Format: character

Notes: UNF:6:a8pfM6KV1RseflQwPkiMEA==

f3440316 Location:

Summary Statistics: Mean 2016.96875; StDev 0.24868765497752376; Min. 2015.0; Valid 192.0; Max. 2017.0

Variable Format: numeric

Notes: UNF:6:nHVR08FZcULRnEp/1S3/+Q==

f3440316 Location:

Variable Format: character

Notes: UNF:6:KXati+1Jjq59SrXoNd8GkA==

f3440316 Location:

Variable Format: character

Notes: UNF:6:NLIdEJ6mmvKe3+7zKnWDTA==

f3440316 Location:

Variable Format: character

Notes: UNF:6:SKmEFDswz4N864fF0wx67w==

f3440316 Location:

Variable Format: character

Notes: UNF:6:ysjq4Acn1HOCFpJeIXnuzA==

f3440316 Location:

Variable Format: character

Notes: UNF:6:FhG9nQydA+HPr8TJBu4L+A==

f3440316 Location:

Variable Format: character

Notes: UNF:6:Gz+lxD0RxXh8pQ1Sf74+nQ==

f3440316 Location:

Variable Format: character

Notes: UNF:6:eLE0n7SEM8u3m6Tan1CR+w==

f3440316 Location:

Variable Format: character

Notes: UNF:6:Y+rdLLw/F6u7MBuQFGDgXw==

f3440316 Location:

Variable Format: character

Notes: UNF:6:r+ks7jxaEmdGm8PM3PuGyw==

f3440316 Location:

Variable Format: character

Notes: UNF:6:pgTcxrq/IlXHSWqdVoy1/A==

f3440316 Location:

Summary Statistics: Valid 142.0; Min. 0.0; StDev 85.88355381970182; Mean 25.239436619718315; Max. 1000.0

Variable Format: numeric

Notes: UNF:6:U4tjrpmlFxvTN6l6URouwA==

f3440316 Location:

Summary Statistics: Max. 1000.0; Valid 142.0; StDev 86.12167649622955; Min. 0.0; Mean 22.91549295774649

Variable Format: numeric

Notes: UNF:6:MsIvhn6a36t9zO8Bmfg65g==

f3440332 Location:

Variable Format: character

Notes: UNF:6:/YMSrkUzRNpN73WT+P7z9Q==

f3440332 Location:

Summary Statistics: Min. 4.0; StDev 0.0; Mean 4.0; Valid 368.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:xoWDP34i+R5Mxtzj7qbo4g==

f3440332 Location:

Summary Statistics: Valid 368.0; Mean 2.3885869565217392; Min. 1.0; Max. 4.0; StDev 1.1896832463939249

Variable Format: numeric

Notes: UNF:6:duUZzYlTagGgEayPmfOB6g==

f3440332 Location:

Summary Statistics: Min. 0.0; StDev 0.48809272697831885; Valid 368.0; Mean 0.6114130434782608; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:LPzokhAC6T9BMBcwb8x4pw==

f3440332 Location:

Summary Statistics: Valid 225.0; Min. 1.0; Max. 6.0; Mean 2.848888888888889; StDev 1.0708437557395318

Variable Format: numeric

Notes: UNF:6:ExeEtcdqBY94QGuwZ+TOFg==

f3440332 Location:

Summary Statistics: Valid 225.0; StDev 0.47400689834910664; Max. 1.0; Min. 0.0; Mean 0.662222222222222

Variable Format: numeric

Notes: UNF:6:KiGIAvEVtlC2PW7dXIVfsQ==

f3440332 Location:

Summary Statistics: Valid 149.0; Mean 1.2281879194630871; Max. 4.0; Min. 1.0; StDev 0.5589662921849757

Variable Format: numeric

Notes: UNF:6:lNqtPiNoYTmqB0Cv+zslTg==

f3440332 Location:

Summary Statistics: Max. 2017.0; Min. 2010.0; StDev 1.5227877859473047; Valid 149.0; Mean 2014.3825503355704;

Variable Format: numeric

Notes: UNF:6:9C8QuSz+P5JhabM6S2b+Yw==

f3440332 Location:

Summary Statistics: Valid 149.0; Min. 0.0; StDev 2.9531838954971925; Mean 2.852348993288591; Max. 33.0

Variable Format: numeric

Notes: UNF:6:iEfe0W61vm6yctlTM3TCag==

f3440332 Location:

Summary Statistics: StDev 0.21611651766199882; Max. 1.0; Min. 0.0; Valid 225.0; Mean 0.9511111111111111

Variable Format: numeric

Notes: UNF:6:UNt+/jCQ3r8IXn7updr7AA==

f3440332 Location:

Summary Statistics: Min. 2010.0; StDev 2.4350678689318426; Max. 2017.0; Mean 2012.9953271028037; Valid 214.0;

Variable Format: numeric

Notes: UNF:6:VfeRvY5ENEATRm5X1WQqOw==

f3440332 Location:

Summary Statistics: Mean 0.897196261682243; StDev 0.3044144518310723; Max. 1.0; Min. 0.0; Valid 214.0;

Variable Format: numeric

Notes: UNF:6:Zn/aA2F2w2gp+Rk4c+xrMQ==

f3440332 Location:

Summary Statistics: Min. 2015.0; Mean 2016.96875; Max. 2017.0; Valid 192.0; StDev 0.24868765497752376

Variable Format: numeric

Notes: UNF:6:nHVR08FZcULRnEp/1S3/+Q==

f3440332 Location:

Summary Statistics: Valid 192.0; Mean 2.0; Min. 1.0; StDev 0.531716572140652; Max. 5.0

Variable Format: numeric

Notes: UNF:6:xo3+JPLAFpfaiwChXch9Vg==

f3440332 Location:

Summary Statistics: Max. 2.0; Mean 1.3474178403755868; Valid 213.0; Min. 1.0; StDev 0.47727152892429

Variable Format: numeric

Notes: UNF:6:FlPdzBYrorREy8eNGuxG9w==

f3440332 Location:

Summary Statistics: Min. 1.0; StDev 0.5927804872532381; Mean 1.2383177570093455; Max. 3.0; Valid 214.0;

Variable Format: numeric

Notes: UNF:6:hgoc/aIl5FCHT/s4lRfr1w==

f3440332 Location:

Summary Statistics: Mean 2.0; Min. 2.0; Max. 2.0; Valid 13.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:aAOMDXTUOxeCcUyjLHacGA==

f3440332 Location:

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

Variable Format: numeric

Notes: UNF:6:9buCAvJZyxx+G5NAiCO+Og==

f3440332 Location:

Summary Statistics: Valid 214.0; Mean 1.186915887850467; Min. 1.0; Max. 3.0; StDev 0.5241732344811123

Variable Format: numeric

Notes: UNF:6:mDEIbMnPEMuUHIcO9xnBLw==

f3440332 Location:

Summary Statistics: StDev 0.7932002689527196; Max. 5.0; Mean 2.3125; Valid 16.0; Min. 2.0

Variable Format: numeric

Notes: UNF:6:ct1z9zDzFB1gvLM07Ovgag==

f3440332 Location:

Summary Statistics: Valid 4.0; Mean 3.5; StDev 1.0; Max. 5.0; Min. 3.0

Variable Format: numeric

Notes: UNF:6:uzASikIJasaBXjkR/aWOLQ==

f3440332 Location:

Summary Statistics: Max. 4.0; Valid 1.0; Mean 4.0; StDev 0.0; Min. 4.0

Variable Format: numeric

Notes: UNF:6:slAku3AQbqZUP3YGBxh7HA==

f3440332 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.47360222277831576; Mean 0.6635514018691591; Valid 214.0;

Variable Format: numeric

Notes: UNF:6:SM9Xa1xvJFlrkaNmB8QDsA==

f3440332 Location:

Summary Statistics: Min. 0.0; StDev 85.88355381970182; Max. 1000.0; Valid 142.0; Mean 25.239436619718315;

Variable Format: numeric

Notes: UNF:6:U4tjrpmlFxvTN6l6URouwA==

f3440332 Location:

Summary Statistics: Max. 1000.0; Mean 22.91549295774649; StDev 86.12167649622955; Min. 0.0; Valid 142.0

Variable Format: numeric

Notes: UNF:6:MsIvhn6a36t9zO8Bmfg65g==

f3440317 Location:

Variable Format: character

Notes: UNF:6:Z3f2uYroZlkJO3EvA+53vw==

f3440317 Location:

Variable Format: character

Notes: UNF:6:YOXxY8KjRF0aDlKugyGC1Q==

f3440317 Location:

Variable Format: character

Notes: UNF:6:bWxsKgoi64BrXQM+FntRGA==

f3440317 Location:

Summary Statistics: Max. 12.0; StDev 0.8988355799689368; Mean 0.2528735632183911; Min. 0.0; Valid 696.0

Variable Format: numeric

Notes: UNF:6:+o97WB27AfU/VVyb9K9MFw==

f3440317 Location:

Variable Format: character

Notes: UNF:6:c5nXGCdxDZJgrHBtvU4cyw==

f3440317 Location:

Variable Format: character

Notes: UNF:6:4ecqNc3zgx6Oq02rupBZ0g==

f3440317 Location:

Variable Format: character

Notes: UNF:6:kJk0JUdq6zwPSvWGQZGoIA==

f3440317 Location:

Variable Format: character

Notes: UNF:6:tnB1BzWTWeKsf8q1xEtlkg==

f3440317 Location:

Variable Format: character

Notes: UNF:6:LUhXdAjlHxPdw1z4E6fKpA==

f3440317 Location:

Variable Format: character

Notes: UNF:6:RbCQZkC3OekiLMWvZ2TOGA==

f3440333 Location:

Variable Format: character

Notes: UNF:6:Z3f2uYroZlkJO3EvA+53vw==

f3440333 Location:

Summary Statistics: Valid 696.0; Max. 7.0; StDev 0.0; Mean 7.0; Min. 7.0

Variable Format: numeric

Notes: UNF:6:qwuqHRTbCVKHFEHXSMJCqQ==

f3440333 Location:

Summary Statistics: Min. 1.0; StDev 1.118838040625666; Max. 4.0; Mean 2.5; Valid 696.0;

Variable Format: numeric

Notes: UNF:6:eKu+TapUNuP+iOYpPU4CHQ==

f3440333 Location:

Summary Statistics: Valid 696.0; Mean 0.2528735632183911; Min. 0.0; StDev 0.8988355799689368; Max. 12.0

Variable Format: numeric

Notes: UNF:6:+o97WB27AfU/VVyb9K9MFw==

f3440333 Location:

Summary Statistics: Valid 696.0; Mean 1.1063218390804597; StDev 0.5034159341393493; Max. 6.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:bIdZFYVz/ZPfq75yRaHOsw==

f3440333 Location:

Summary Statistics: Valid 696.0; StDev 1.59781478059884; Max. 5.0; Min. 1.0; Mean 1.854885057471264

Variable Format: numeric

Notes: UNF:6:hVWoVozzVhzo2Hl24JrLbA==

f3440333 Location:

Summary Statistics: Valid 696.0; StDev 1.599033756865099; Mean 1.853448275862069; Min. 1.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:zrrcnDojxbfYb8c2I5KBqw==

f3440333 Location:

Summary Statistics: Mean 3.0; Valid 3.0; Max. 5.0; Min. 2.0; StDev 1.7320508075688772;

Variable Format: numeric

Notes: UNF:6:4llyQGEzZwpaarMmSS4fnA==

f3440333 Location:

Summary Statistics: StDev 0.5296391741947013; Mean 1.4339080459770108; Valid 696.0; Max. 3.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:zsfSyCT465jDEKdaR0l3oA==

f3440333 Location:

Summary Statistics: Max. 3.0; Valid 696.0; Mean 1.4396551724137927; StDev 0.5303257004414768; Min. 1.0

Variable Format: numeric

Notes: UNF:6:CjTe9NzsvWHFJIpWCrl8UA==

f3440318 Location:

Variable Format: character

Notes: UNF:6:br2G9MB03Ctg+Y8GFSdHFQ==

f3440318 Location:

Variable Format: character

Notes: UNF:6:4qIB47+bdUlSAg/D94OmlQ==

f3440318 Location:

Variable Format: character

Notes: UNF:6:WbE6xqT5QOAd7NJBSDQiAQ==

f3440318 Location:

Summary Statistics: Valid 1919.0; Mean 2015.019801980198; Max. 2017.0; Min. 2013.0; StDev 1.3320559514313708

Variable Format: numeric

Notes: UNF:6:I4gM8iK8g0ZZz2AMp+hEmw==

f3440318 Location:

Summary Statistics: Max. 2017.0; Min. 2014.0; Valid 566.0; StDev 1.1251928617810967; Mean 2015.482332155477;

Variable Format: numeric

Notes: UNF:6:tNtFDOKCf79aOYKnRCWsnw==

f3440318 Location:

Summary Statistics: Valid 243.0; Min. 2015.0; StDev 0.8906280812308622; Mean 2015.8559670781892; Max. 2017.0;

Variable Format: numeric

Notes: UNF:6:8Wl5OakKdaQ/E+P2C0P3DQ==

f3440318 Location:

Summary Statistics: StDev 0.3478547210787063; Mean 2016.139534883721; Max. 2017.0; Valid 129.0; Min. 2016.0;

Variable Format: numeric

Notes: UNF:6:I6hj50Ls3j23666JZb3szg==

f3440318 Location:

Summary Statistics: Mean 2017.0; Max. 2017.0; Min. 2017.0; Valid 106.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:esVrxs6EnlmNYEM/Z8U8Rg==

f3440318 Location:

Variable Format: character

Notes: UNF:6:v/BznoJBVU6pbgE+uH4k7A==

f3440318 Location:

Variable Format: character

Notes: UNF:6:BHSrO0+0HUNOjlxUlC1DAg==

f3440318 Location:

Variable Format: character

Notes: UNF:6:JrYa1MLwrMjdCq7aULNa9w==

f3440318 Location:

Variable Format: character

Notes: UNF:6:DN1RzhgbeULC0R0iP5KIrA==

f3440318 Location:

Variable Format: character

Notes: UNF:6:0Gle6EX+wrui61kQ+Ecveg==

f3440318 Location:

Variable Format: character

Notes: UNF:6:3oqM6x9CXRhE3bbqzGHZIQ==

f3440318 Location:

Variable Format: character

Notes: UNF:6:PwqOkWCIyxKNYHzK9WY7zg==

f3440318 Location:

Variable Format: character

Notes: UNF:6:GBXcN+Vje5WnWKYMQU3Wag==

f3440318 Location:

Variable Format: character

Notes: UNF:6:ULddkXD6pe/xc/hmpnUA/Q==

f3440334 Location:

Variable Format: character

Notes: UNF:6:br2G9MB03Ctg+Y8GFSdHFQ==

f3440334 Location:

Summary Statistics: Valid 2114.0; Max. 7.0; StDev 1.8565127892426792; Mean 3.9891201513718126; Min. 1.0

Variable Format: numeric

Notes: UNF:6:PJZ+2D+W4uGzn3BO+PXoZw==

f3440334 Location:

Summary Statistics: StDev 24.537102771109023; Max. 88.0; Min. 1.0; Valid 2114.0; Mean 11.457426679280998

Variable Format: numeric

Notes: UNF:6:ju13hn6VwyU6TXaanEDD6Q==

f3440334 Location:

Summary Statistics: Valid 1919.0; Mean 2015.019801980198; StDev 1.3320559514313708; Max. 2017.0; Min. 2013.0;

Variable Format: numeric

Notes: UNF:6:I4gM8iK8g0ZZz2AMp+hEmw==

f3440334 Location:

Summary Statistics: StDev 1.1251928617810967; Min. 2014.0; Valid 566.0; Max. 2017.0; Mean 2015.482332155477

Variable Format: numeric

Notes: UNF:6:tNtFDOKCf79aOYKnRCWsnw==

f3440334 Location:

Summary Statistics: Max. 2017.0; Mean 2015.8559670781892; Valid 243.0; Min. 2015.0; StDev 0.8906280812308622

Variable Format: numeric

Notes: UNF:6:8Wl5OakKdaQ/E+P2C0P3DQ==

f3440334 Location:

Summary Statistics: Valid 129.0; Mean 2016.139534883721; Max. 2017.0; StDev 0.3478547210787063; Min. 2016.0;

Variable Format: numeric

Notes: UNF:6:I6hj50Ls3j23666JZb3szg==

f3440334 Location:

Summary Statistics: Min. 2017.0; Mean 2017.0; StDev 0.0; Valid 106.0; Max. 2017.0

Variable Format: numeric

Notes: UNF:6:esVrxs6EnlmNYEM/Z8U8Rg==

f3440334 Location:

Summary Statistics: Max. 88.0; Valid 1908.0; StDev 40.13715219761105; Min. 1.0; Mean 40.459119496855344

Variable Format: numeric

Notes: UNF:6:rO3I994m06qiUhgxzkQdRQ==

f3440334 Location:

Summary Statistics: Mean 13.132727272727276; Valid 550.0; StDev 5.583822408901857; Max. 19.0; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:8CYDU4BOJtzNMfxuQxdQNw==

f3440334 Location:

Summary Statistics: Min. 3.0; Valid 222.0; StDev 4.740177608845625; Max. 19.0; Mean 14.963963963963964;

Variable Format: numeric

Notes: UNF:6:EYlF6CAguS/zDZ9Fmxm4VQ==

f3440334 Location:

Summary Statistics: Mean 16.03846153846154; Min. 4.0; StDev 4.091893173531019; Valid 52.0; Max. 19.0

Variable Format: numeric

Notes: UNF:6:rqcuI63TFG4qQAbQcpRwcQ==

f3440334 Location:

Summary Statistics: Max. 18.0; StDev 0.9574271077563381; Mean 16.75; Min. 16.0; Valid 4.0

Variable Format: numeric

Notes: UNF:6:I552XjRNtn3gbF1ATsLHnQ==

f3440334 Location:

Summary Statistics: Valid 1919.0; StDev 0.7719391587625817; Mean 3.2730588848358524; Max. 4.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:88cnJo4v78MYZO47ZGlvzg==

f3440334 Location:

Summary Statistics: Valid 791.0; StDev 0.4797788167869557; Min. 1.0; Max. 3.0; Mean 1.6738305941845764

Variable Format: numeric

Notes: UNF:6:rdTeMOJbts+doxetL1wV8Q==

f3440334 Location:

Summary Statistics: Mean 2.0809248554913293; StDev 0.4236267281293624; Min. 1.0; Valid 173.0; Max. 3.0;

Variable Format: numeric

Notes: UNF:6:544n0oJTzSMF4EG6mX2eCQ==

f3440334 Location:

Summary Statistics: StDev 0.31462660248284635; Mean 2.890909090909091; Min. 2.0; Valid 55.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:8CMeBLtKr7nS2AR60nFzvg==

f3440319 Location:

Variable Format: character

Notes: UNF:6:p3idPKSVvremgGdPZTEr7Q==

f3440319 Location:

Variable Format: character

Notes: UNF:6:hMFMxEX9FbH1yE6NZbiTMg==

f3440319 Location:

Variable Format: character

Notes: UNF:6:r4i7grxaLpa347ngM+Ds5A==

f3440319 Location:

Summary Statistics: StDev 5.206549346320952; Min. 0.0; Max. 100.0; Mean 1.4224288533213374; Valid 3625.0;

Variable Format: numeric

Notes: UNF:6:stTQSe+5HR2LSEFJ9VAZDA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:pHhOCmPP4nCZOzlWAd+QsA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:2qE8jxP1D9iIGF5MaGzLzA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:EwLRNQFsJXBKomfuSCPYcw==

f3440319 Location:

Variable Format: character

Notes: UNF:6:LjeS08pxylZ6jUCQrl1JKw==

f3440319 Location:

Summary Statistics: Valid 3625.0; Min. 0.0; StDev 103.46777751407204; Mean 55.741358620689816; Max. 500.0

Variable Format: numeric

Notes: UNF:6:0uR4ZQlnkGjSxOhyBNRa0A==

f3440319 Location:

Variable Format: character

Notes: UNF:6:YleVOFtSJngFM3aUrfBZDQ==

f3440319 Location:

Variable Format: character

Notes: UNF:6:WPLDhqoRdv9p8MFemIVNpQ==

f3440319 Location:

Variable Format: character

Notes: UNF:6:USwFh902OtofNagmMyIBIw==

f3440319 Location:

Variable Format: character

Notes: UNF:6:12ivROBEJskeQ1FFvlRScg==

f3440319 Location:

Variable Format: character

Notes: UNF:6:YJWY0H1i74rYWf9CYOT9Ig==

f3440319 Location:

Summary Statistics: Valid 3625.0; Min. 0.15000001; Max. 903600.0; Mean 4586.642071728619; StDev 34103.13954603076

Variable Format: numeric

Notes: UNF:6:dMOVwqQfa2Fz854ns3s7bw==

f3440319 Location:

Variable Format: character

Notes: UNF:6:U9QmcLP/gNxAN58WKxvlcw==

f3440319 Location:

Summary Statistics: Mean 3623.755140420353; StDev 29217.095428257246; Min. 0.0; Valid 3625.0; Max. 1000000.0

Variable Format: numeric

Notes: UNF:6:AfqVe6BvlVxm98mlMosZsA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:PkEbPnrHCQtgwjWoCpgelw==

f3440319 Location:

Summary Statistics: Max. 440.67929; StDev 10.289339850418362; Mean 1.0088654783899291; Min. 0.0; Valid 2676.0

Variable Format: numeric

Notes: UNF:6:pgY9hD+2cjgatpZSD7d5KA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:nt8JBOQ+FhXQnNLjaKdXOg==

f3440319 Location:

Summary Statistics: Valid 3625.0; Mean 25020.704286900775; StDev 1494817.0213432375; Min. 0.0; Max. 9.0E7

Variable Format: numeric

Notes: UNF:6:IUQ003ndQpuHqBtQbq1xUA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:ik0EW24vZbPocHK6j0Tv8g==

f3440319 Location:

Summary Statistics: StDev 10572.468100856833; Min. 0.0; Valid 3617.0; Mean 1070.6673735134696; Max. 504000.0;

Variable Format: numeric

Notes: UNF:6:vPtklDvPc5tNyymjlY98bA==

f3440319 Location:

Variable Format: character

Notes: UNF:6:0tci/EtY1ECFWs0H4ZjB/g==

f3440319 Location:

Summary Statistics: Min. 0.0; Max. 43200.0; Valid 3575.0; StDev 1724.2828105358567; Mean 237.52515804187914

Variable Format: numeric

Notes: UNF:6:QODI9Tk+U4RV2SMCddMNCg==

f3440319 Location:

Variable Format: character

Notes: UNF:6:J1JFz5wxV8/x7ltklEcHrw==

f3440319 Location:

Summary Statistics: Mean 268.50510769296386; StDev 2758.2798472542663; Max. 108000.0; Min. 0.0; Valid 3575.0;

Variable Format: numeric

Notes: UNF:6:zCAm9TVMY0mTQ9cRHsZt9Q==

f3440319 Location:

Variable Format: character

Notes: UNF:6:jTZ1XYz15ar7xsDSfeKk9Q==

f3440319 Location:

Variable Format: character

Notes: UNF:6:EZKfhb8HZTsoP+4DrZZOeQ==

f3440319 Location:

Variable Format: character

Notes: UNF:6:GhI7+4ademG7V1DJY80tHg==

f3440319 Location:

Variable Format: character

Notes: UNF:6:bd8c91mKrMfLh+tiXA1iLg==

f3440322 Location:

Variable Format: character

Notes: UNF:6:p3idPKSVvremgGdPZTEr7Q==

f3440322 Location: