Benin: Small Farmer Survey, 1998 (doi:10.7910/DVN/8HBVFZ)

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Part 2: Study Description
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Benin: Small Farmer Survey, 1998

doi:10.7910/DVN/8HBVFZ

Harvard Dataverse

2008-12-18

3

International Food Policy Research Institute (IFPRI); Laboratoire d'Analyse Regionale et d'Expertise Sociale (LARES), 2004, "Benin: Small Farmer Survey, 1998", https://doi.org/10.7910/DVN/8HBVFZ, Harvard Dataverse, V3, UNF:5:ESntxwAJIkQd7SXoGN8MoQ== [fileUNF]

Benin: Small Farmer Survey, 1998

doi:10.7910/DVN/8HBVFZ

International Food Policy Research Institute (IFPRI)

Laboratoire d'Analyse Regionale et d'Expertise Sociale (LARES)

International Food Policy Research Institute (IFPRI)

1998

Harvard Dataverse

International Food Policy Research Institute (IFPRI)

IFPRI-DATA

IFPRI-KM

2004

Household- and Community-level Surveys

https://doi.org/10.7910/DVN/8HBVFZ

Arts and Humanities, Social Sciences, small farmers, rural areas, livelihoods, extension activities, small farms, agriculture, marketing, credit, Benin, West Africa, Africa South of Sahara, Africa

Smallholders

This survey includes data from the Enquête des Petits Producteurs (Small Farmer Survey) carried out by IFPRI and LARES (Laboratoire d'Analyse Regionale et d'Expertise Sociale, Cotonou, Republic of Benin). The objectives were to describe rural livelihoods, examine how conditions for farmers have changed over time, and assess the impact of agricultural reforms on rural households. The training of enumerators, field testing of the survey and final revision of the questionnaire took place in June-July 1998. The survey itself was carried out over the period August to November 1998. The households were selected using a two-stage stratified random sample procedure based on the 1997 pre-census of Agriculture. In each of the six departments, villages randomly selected, with the number of villages proportional to the volume of agricultural production, subject to a minimum of 10 villages per department. In total, 100 villages were selected. In each village, nine households were randomly selected using listed prepared for the pre-census. Three alternative households were selected for each village in case one or more of the nine were unavailable. In a few villages, the number of interviewed households was eight or ten, resulting in a final sample size of 899 farm households. <br /><br /> Topics addressed in the survey include household and land characteristics, crop production, main agricultural activities, use of fertilizers and other inputs, source of credit, sale and use of crops, storage, consumption, time allocation, and sources of income as well as community level data on transport structure, marketing of agricultural products, village groups, agricultural production, extension services, and formal/informal credit. <br /><br /> The survey was conducted in collaboration with Laboratoire d'Analyse Régionale et d'Expertise Sociale, Cotonou, Republic of Benin (LARES). Funding for the survey was provided by Bundesministerium für Wirtschaflitche Zusammenarbeit und Entwicklung (BMZ).

1998-

Benin

sample survey data (ssd)

Nick Minot, Reno Dewina

Benin, Small Farmer Survey, 1998. 2004. Washington, D.C.: International Food Policy Research Institute (IFPRI) (datasets). <a href="http://hdl.handle.net/1902.1/10020">http://hdl.handle.net/1902.1/10020</a>

These datasets are provided "as is" and in no event shall IFPRI be liable for any damages resulting from 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. <br>IFPRI encourages the use of these datasets, but emphasizes that many of them contain "raw" data files. When applicable, all information which would allow individuals to be identified has been deleted from the files. For some of the datasets, the users will need to take care in handling missing observations, outlier values, and violations of logical consistency.</br>

<h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribution-NonCommercial 3.0 Unported License</a> <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/"></a> <a rel="license" href="http://creativecommons.o rg/licenses/by-nc/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc/3.0/80x15.png" /></a><br />

Marcel Fafchamps, Eleni Gabre-Madhin and Bart Minten April 2003. Increasing Returns and Market Efficiency in Agricultural Trade. <a href="http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/71698">http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/71698</a>.

<a href="http://hdl.handle.net/1902.1/15220"> Segmentation of Small-Holder Farmers in Ghana</a>

• Number of cases: 899

• No. of variables per record: 8

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

UNF:5:EW5/PWOI7bbzb5ieSDx7lw==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 899

• No. of variables per record: 9

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

UNF:3:oipOdMH//F5Cc/rUAg0ddA==

Characteristics of household members, section A questions A1-A7

• Number of cases: 8054

• No. of variables per record: 9

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

UNF:5:49YsiJBPU3Fwt7UVxs9O4w==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 8054

• No. of variables per record: 10

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

UNF:3:rNV4Orryt74QjxCjW4yGpg==

Characteristics of household members, section A questions A8-A15

• Number of cases: 899

• No. of variables per record: 13

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

UNF:5:KajYRT6s7/ul95Dh9QsjLg==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 899

• No. of variables per record: 14

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

UNF:3:sQoN5P9AmVEe5m/AX1nLgg==

Household characteristics, section questions B1-B12

• Number of cases: 4100

• No. of variables per record: 10

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

UNF:5:MR0qIVC/Z3nXebOC7h/qwA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 4100

• No. of variables per record: 11

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

UNF:3:B+qjyG43bDgPfXIXdq6oOg==

Household characteristics-Land characteristics, section C questions C1-C7

• Number of cases: 98

• No. of variables per record: 11

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

UNF:5:rJ7LlTVZgcp+YshTLdnNIA==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 11

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

UNF:3:jTV9AJhENgIO2d+YT1IXWA==

Transport infrastructure (ROAD), Data file, section A: covers questions A1 through A4

• Number of cases: 98

• No. of variables per record: 113

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

UNF:5:ZEtlpUYHePCsipGRBam1Mw==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 113

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

UNF:3:ZGvF+vrPupxpjMF180HeeA==

Transfer services of agricultural products, transport services, Data file, section B: covers questions B1 through B3

• Number of cases: 98

• No. of variables per record: 54

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

UNF:5:Vh0aub8/Vev/XQVcSYmUzg==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 54

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

UNF:3:QFgP3l4KaHI8mE4Q7AwJ4g==

Markets of agricultural products and inputs, transport services, Data file, section C: covers questions C1 through C15

• Number of cases: 98

• No. of variables per record: 47

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

UNF:5:xuaPOoQgHGtSXY2YFmBj8w==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 47

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

UNF:3:EePFWEOcujkxr9R8azrwlw==

Village groups, Data file, section D: covers questions D1 through D10

• Number of cases: 98

• No. of variables per record: 17

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

UNF:5:iCbVZTpG3mOQNssJ4R+4fg==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 17

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

UNF:3:QqR47KLOgqVNid+LXCUiHQ==

Formal and Informal Credit, Data file, section E: covers questions E1 through E4

• Number of cases: 98

• No. of variables per record: 9

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

UNF:5:INjJV84Hpud4f4/N/Cw4+Q==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 9

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

UNF:3:duK4K5IkEScEAnxvM1emmA==

Extension Agent and Other Services, Data file, section F: covers questions F1 through F2

• Number of cases: 98

• No. of variables per record: 43

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

UNF:5:UGsF9WPgWtbPzBRbXcTyGQ==

Filename has extra space for uploading purposes. This file is in the Data/Community folder.

• Number of cases: 98

• No. of variables per record: 43

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

UNF:3:hvQ7ruJ4MpFEDQQJMfjrlw==

Agricultural Production, Data file, section G: covers questions G1 through G4

• Number of cases: 5402

• No. of variables per record: 12

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

UNF:5:V9E5AdNhVMJl7oDnqZiw3g==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 5402

• No. of variables per record: 13

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

UNF:3:GXo05cAfEkIwXaHoxS8QaQ==

Crops production, Data file, section D: covers questions D1 through D5 for main season

• Number of cases: 1017

• No. of variables per record: 12

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

UNF:5:YzFZ8ZF6KydUqNWFiAMIVA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 1017

• No. of variables per record: 13

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

UNF:3:sRzgzfRamk6aZueTDB6omQ==

Crops production, Data file, section D: covers questions D1 through D5 for small season

• Number of cases: 5408

• No. of variables per record: 23

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

UNF:5:neQoCq0QdEhFANEmhPwPFA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 5408

• No. of variables per record: 24

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

UNF:3:ywHwRq9X8MCbciShmm/kRA==

Main agriculture activities for family labor, Data file, section E: covers questions on table E1 for family labor in main season

• Number of cases: 222

• No. of variables per record: 23

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

UNF:5:EqE+0/PSS0jruJhG7Fw0wA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 222

• No. of variables per record: 24

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

UNF:3:2gJmhVRTY3P4Z34dEydr8A==

Main agriculture activities for family labor, Data file, section E: covers questions on table E1 for family labor in small season

• Number of cases: 5391

• No. of variables per record: 15

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

UNF:5:4zm88MB/t/ZyZfYdF0+a9Q==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 5391

• No. of variables per record: 16

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

UNF:3:8banBRUDScgSVkWDR/m8pA==

Main agriculture activities for family labor, Data file, section E: covers questions on table E1 for hired labor in main season

• Number of cases: 1103

• No. of variables per record: 15

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

UNF:5:2vx90mQG/A4KxzMTe0fMvA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 1103

• No. of variables per record: 16

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

UNF:3:PBhNn7moG/Ht6QuxuiMyOQ==

Main agriculture activities for family labor, Data file, section E: covers questions on table E1 for hired labor in small

• Number of cases: 5366

• No. of variables per record: 17

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

UNF:5:bUs3qDlJWDavrifo3vCfUw==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 5366

• No. of variables per record: 18

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

UNF:3:H0akt2+h2s/fmrTGjzvRNw==

Use of fertilizers, Data file, section F: covers questions F1 through F8 in main season

• Number of cases: 1144

• No. of variables per record: 17

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

UNF:5:4ss/2Akyz5O6C7oFBTB8ew==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 1144

• No. of variables per record: 18

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

UNF:3:3pp3Kz2qDqBCWq1B9Weo4A==

Use of fertilizers, Data file, section F: covers questions F1 through F8 in small season

• Number of cases: 5371

• No. of variables per record: 17

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

UNF:5:1WDspqvCWjW+rSnzOtZnow==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 5371

• No. of variables per record: 18

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

UNF:3:R+3T5Eww7qSGCvwytiJpUg==

Use of inputs, Data file, section F: covers questions F9 through F19 in main season

• Number of cases: 1007

• No. of variables per record: 17

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

UNF:5:R6doSvgy6mELlcPNFj4L4A==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 1007

• No. of variables per record: 18

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

UNF:3:Dl5+QMHCim5NrrQs+tnCqQ==

Use of inputs, Data file, section F: covers questions F9 through F19 in small season

• Number of cases: 4928

• No. of variables per record: 10

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

UNF:5:tidmm8Sbf2ypKmvzgWAEXw==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 4928

• No. of variables per record: 11

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

UNF:3:SanoLi2auyCxvJ+YiUZAUA==

Changes regarding intensity of utilization of labor and inputs, Data file, section G: covers questions G1 through G8

• Number of cases: 899

• No. of variables per record: 7

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

UNF:5:55rKUPVfCG6Bcx4Utz44xA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 899

• No. of variables per record: 7

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

UNF:3:qZLEBxouWGCK3epM5VyvTA==

Source of credit, Data file, section H: covers questions H1, H10 through H13

• Number of cases: 384

• No. of variables per record: 9

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

UNF:5:yeGjiriC1AraDj9En5HL8g==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 384

• No. of variables per record: 9

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

UNF:3:+3RXff9XyG6Z9eL2vzN6Ig==

Source of credit, Data file, section H: covers questions H2 through H9

• Number of cases: 4168

• No. of variables per record: 16

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

UNF:5:R00M4EK6Npwmr94DxS+MyQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 4168

• No. of variables per record: 17

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

UNF:3:X93EBbFDp7Bd9uFr8pGB4A==

Disposition of harvest, Data file, section I: covers questions I1 through I7

• Number of cases: 4196

• No. of variables per record: 14

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

UNF:5:JFXgyD1iZcxVFkjwGGFzZQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 4196

• No. of variables per record: 15

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

UNF:3:7hmCwQ1vhV9sDZr4p669pw==

Agriculture sales, Data file, section I: covers questions I8 through I16

• Number of cases: 3707

• No. of variables per record: 10

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

UNF:5:I9rYJ3aKQy2hePcO3psrHw==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 3707

• No. of variables per record: 11

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

UNF:3:F5Dze7heB5hOOHYlGBtvDA==

Changes in marketing, Data file, section I: covers questions I17 through I24

• Number of cases: 2682

• No. of variables per record: 6

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

UNF:5:7mb2qQdviGZh3p2bDkbo5w==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 2682

• No. of variables per record: 7

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

UNF:3:ORgp+ZnsXDeYYildgxm4ug==

Information on storage structure, Data file, section J: covers questions J1 through J3

• Number of cases: 3050

• No. of variables per record: 9

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

UNF:5:eKcaLrq5nyODOo61kmJJKw==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 3050

• No. of variables per record: 10

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

UNF:3:0hWy9/BwZzr5XRqbVVdoIQ==

Storage information for each crop, Data file, section J: covers questions J4 through J8

• Number of cases: 899

• No. of variables per record: 20

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

UNF:5:xiAtdwDnpl77dJgPegfa1w==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 899

• No. of variables per record: 21

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

UNF:3:bwayLRoPlgOPbqdi6OULOg==

Source of information, Data file, section K: covers questions K1 through K9

• Number of cases: 23338

• No. of variables per record: 13

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

UNF:5:J3DFlGhNddWswGzPXMCETQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 23338

• No. of variables per record: 14

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

UNF:3:dtRFz6lwrrdhglVbX4QBFg==

Food consumption, Data file, section L: covers questions L1 through L8

• Number of cases: 9889

• No. of variables per record: 6

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

UNF:5:RM1iBrju4bVrayXi7fJ4vA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 9889

• No. of variables per record: 6

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

UNF:3:2ybpixcnHZBc6KS1+tHcXA==

Non-Food consumption, Data file, section L: covers questions L9 through L11

• Number of cases: 14384

• No. of variables per record: 6

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

UNF:5:WR9VPcNn4OxKxXNTRRwBKQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 14384

• No. of variables per record: 6

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

UNF:3:aicEaiodZe+35wEG5pW/vg==

Non-Food consumption, Data file, section L: covers questions L12 through L14

• Number of cases: 3434

• No. of variables per record: 12

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

UNF:5:AiN7KSJeO2jWArbARLLOlQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 3434

• No. of variables per record: 13

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

UNF:3:wYmRHTFf+3RZjoRbJHbtOg==

Time Allocation, Data file, section M: covers questions M1 through M9

• Number of cases: 11879

• No. of variables per record: 7

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

UNF:5:h+dTo4ntTjY0yA0xWi+cFA==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 11879

• No. of variables per record: 8

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

UNF:3:dkZJB2xCNditN+mlyVNNBA==

Household Asset, Data file, section N: covers questions N1 through N5

• Number of cases: 10283

• No. of variables per record: 7

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

UNF:5:l0XLuCt6wA7Oxbf1GwiZQQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 10283

• No. of variables per record: 8

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

UNF:3:5X7EtwSSTUok9+Q2549eSw==

Household Asset, Data file, section N: covers questions N7 through N11

• Number of cases: 7180

• No. of variables per record: 8

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

UNF:5:sJIDMjt4dlOhNDKsAy+Pyg==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 7180

• No. of variables per record: 9

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

UNF:3:SagX6n0XWEkHB5ugCrZIlg==

Source of income, Data file, section O: covers questions O1 through O6

• Number of cases: 899

• No. of variables per record: 15

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

UNF:5:guojchgAmJjBYw5B8gh8BQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 899

• No. of variables per record: 16

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

UNF:3:y/s28QtPY1jcBaUkHM3AAw==

Farmer Perception, Data file, section P: covers questions P1 through P4

• Number of cases: 100

• No. of variables per record: 3

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

UNF:5:BwsvfJQA5qRZLPYMPhaLlQ==

Filename has extra space for uploading purposes. Stata file in the Data/Farmer folder.

• Number of cases: 100

• No. of variables per record: 3

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

UNF:3:dO0/ygZeyLKXCRqzymKoFg==

Weight, Contains of weight for each village

• menage - HH id
• a1 - The relationship to the head of household
• a2 - Number of people live in the house
• a3 - The relationship to the village leader
• a4 - Religion of the head of household
• a5 - Ethnic group of the head of household
• a6 - Member of cooperative or GV
• a7 - Household member subscribing to a rotating credit society
• D_R
• MENAGE
• A1
• A2
• A3
• A4
• A5
• A6
• A7
• menage - HH id
• personne - Member id
• a9 - The relationship with head of household
• a10 - Gender
• a11 - Age
• a12 - Level of education
• a13 - Can read or write
• a14 - Main occupation
• a15 - Secondary occupation
• D_R
• MENAGE
• PERSONNE
• A9
• A10
• A11
• A12
• A13
• A14
• A15
• menage - HH id
• b01 - Main construction material of walls
• b02 - Flooring material
• b03 - Roof material is made of
• b04 - Housing status
• b05 - Monthly payment for the housing
• b06 - Main source of water
• b07 - Distance of water source from your dwelling
• b08 - Main source of lighting
• b09 - Distance of the closest telephone service from your dwelling
• b10 - Distance of passable road from your dwelling
• b11 - Distance of paved road from your dwelling
• b12 - Distance of a sous-prefecture from your dwelling
• D_R
• MENAGE
• B01
• B02
• B03
• B04
• B05
• B06
• B07
• B08
• B09
• B10
• B11
• B12
• menage - HH id
• champ - Field id
• parcelle - Plot id
• c01 - Land status
• c02 - If own, how did you inherite it?
• c03 - If rent, how much the land rent
• c04 - If sharecrop, what is the percentage of output paid
• c05 - In the household, who has control of the land
• c06 - Main source of water for the plot
• c07 - Distance from your dwelling (meter)
• D_R
• MENAGE
• CHAMP
• PARCELLE
• C01
• C02
• C03
• C04
• C05
• C06
• C07
• com - Community id
• a1_1 - The length of the paved road (km)
• a1_2 - The length of the non-paved road passable all seasons (km)
• a1_3 - The length of the non-paved road passable only in dry season (km)
• a1_4 - The length of the dirt road (km)
• a2_1 - Months of paved road are impassable
• a2_2 - Months of all seasons non-paved road are impassable
• a2_3 - Months of dry season paved road are impassable
• a2_4 - Months of dirt road are impassable
• a3 - Has the length of road changed since 1992
• a4 - Has the quality of road changed since 1992
• COM - Communaute
• A1_1
• A1_2
• A1_3
• A1_4
• A2_1
• A2_2
• A2_3
• A2_4
• A3
• A4
• com - Communaute
• b1_1
• b1_2
• b1_3
• b1_4
• b1_5
• b1_6
• b1_7
• b1_8
• b2_1
• b2_2
• b2_3
• b2_4
• b2_5
• b2_6
• b2_7
• b2_8
• jan_1
• jan_2
• jan_3
• jan_4
• jan_5
• jan_6
• jan_7
• jan_8
• fev_1
• fev_2
• fev_3
• fev_4
• fev_5
• fev_6
• fev_7
• fev_8
• mar_1
• mar_2
• mar_3
• mar_4
• mar_5
• mar_6
• mar_7
• mar_8
• avr_1
• avr_2
• avr_3
• avr_4
• avr_5
• avr_6
• avr_7
• avr_8
• mai_1
• mai_2
• mai_3
• mai_4
• mai_5
• mai_6
• mai_7
• mai_8
• juin_1
• juin_2
• juin_3
• juin_4
• juin_5
• juin_6
• juin_7
• juin_8
• juil_1
• juil_2
• juil_3
• juil_4
• juil_5
• juil_6
• juil_7
• juil_8
• aou_1
• aou_2
• aou_3
• aou_4
• aou_5
• aou_6
• aou_7
• aou_8
• sep_1
• sep_2
• sep_3
• sep_4
• sep_5
• sep_6
• sep_7
• sep_8
• oct_1
• oct_2
• oct_3
• oct_4
• oct_5
• oct_6
• oct_7
• oct_8
• nov_1
• nov_2
• nov_3
• nov_4
• nov_5
• nov_6
• nov_7
• nov_8
• dec_1
• dec_2
• dec_3
• dec_4
• dec_5
• dec_6
• dec_7
• dec_8
• COM - Communaute
• B1_1
• B1_2
• B1_3
• B1_4
• B1_5
• B1_6
• B1_7
• B1_8
• B2_1
• B2_2
• B2_3
• B2_4
• B2_5
• B2_6
• B2_7
• B2_8
• JAN_1
• JAN_2
• JAN_3
• JAN_4
• JAN_5
• JAN_6
• JAN_7
• JAN_8
• FEV_1
• FEV_2
• FEV_3
• FEV_4
• FEV_5
• FEV_6
• FEV_7
• FEV_8
• MAR_1
• MAR_2
• MAR_3
• MAR_4
• MAR_5
• MAR_6
• MAR_7
• MAR_8
• AVR_1
• AVR_2
• AVR_3
• AVR_4
• AVR_5
• AVR_6
• AVR_7
• AVR_8
• MAI_1
• MAI_2
• MAI_3
• MAI_4
• MAI_5
• MAI_6
• MAI_7
• MAI_8
• JUIN_1
• JUIN_2
• JUIN_3
• JUIN_4
• JUIN_5
• JUIN_6
• JUIN_7
• JUIN_8
• JUIL_1
• JUIL_2
• JUIL_3
• JUIL_4
• JUIL_5
• JUIL_6
• JUIL_7
• JUIL_8
• AOU_1
• AOU_2
• AOU_3
• AOU_4
• AOU_5
• AOU_6
• AOU_7
• AOU_8
• SEP_1
• SEP_2
• SEP_3
• SEP_4
• SEP_5
• SEP_6
• SEP_7
• SEP_8
• OCT_1
• OCT_2
• OCT_3
• OCT_4
• OCT_5
• OCT_6
• OCT_7
• OCT_8
• NOV_1
• NOV_2
• NOV_3
• NOV_4
• NOV_5
• NOV_6
• NOV_7
• NOV_8
• DEC_1
• DEC_2
• DEC_3
• DEC_4
• DEC_5
• DEC_6
• DEC_7
• DEC_8
• com - Communaute
• c1_1
• c1_2
• c1_3
• c2_1
• c2_2
• c2_3
• c3_1
• c3_2
• c3_3
• c4_1
• c4_2
• c4_3
• c5_1
• c5_2
• c5_3
• c6_1
• c6_2
• c6_3
• c7_1
• c7_2
• c7_3
• c8_1
• c8_2
• c8_3
• c9_1
• c9_2
• c9_3
• c9_4
• c9_5
• c9_6
• c10_1
• c10_2
• c10_3
• c10_4
• c10_5
• c10_6
• c11_1
• c11_2
• c11_3
• c11_4
• c11_5
• c11_6
• c12
• c13_a
• c13_b
• c13_c
• c13_d
• c13_e
• c13_f
• c14
• c15_a
• c15_b
• c15_c
• COM - Communaute
• C1_1
• C1_2
• C1_3
• C2_1
• C2_2
• C2_3
• C3_1
• C3_2
• C3_3
• C4_1
• C4_2
• C4_3
• C5_1
• C5_2
• C5_3
• C6_1
• C6_2
• C6_3
• C7_1
• C7_2
• C7_3
• C8_1
• C8_2
• C8_3
• C9_1
• C9_2
• C9_3
• C9_4
• C9_5
• C9_6
• C10_1
• C10_2
• C10_3
• C10_4
• C10_5
• C10_6
• C11_1
• C11_2
• C11_3
• C11_4
• C11_5
• C11_6
• C12
• C13_A
• C13_B
• C13_C
• C13_D
• C13_E
• C13_F
• C14
• C15_A
• C15_B
• C15_C
• com - Communaute
• d1
• d2
• d3_1
• d3_2
• d3_3
• d3_4
• d3_5
• d3_6
• d3_7
• d3_8
• d4_1
• d4_2
• d4_3
• d4_4
• d4_5
• d4_6
• d4_7
• d4_8
• d5_1
• d5_2
• d5_3
• d5_4
• d5_5
• d5_6
• d5_7
• d5_8
• d6
• d7
• d8_1
• d8_2
• d8_3
• d8_4
• d8_5
• d8_6
• d9_1
• d9_2
• d9_3
• d9_4
• d9_5
• d9_6
• d10_1
• d10_2
• d10_3
• d10_4
• d10_5
• d10_6
• COM - Communaute
• D1
• D2
• D3_1
• D3_2
• D3_3
• D3_4
• D3_5
• D3_6
• D3_7
• D3_8
• D4_1
• D4_2
• D4_3
• D4_4
• D4_5
• D4_6
• D4_7
• D4_8
• D5_1
• D5_2
• D5_3
• D5_4
• D5_5
• D5_6
• D5_7
• D5_8
• D6
• D7
• D8_1
• D8_2
• D8_3
• D8_4
• D8_5
• D8_6
• D9_1
• D9_2
• D9_3
• D9_4
• D9_5
• D9_6
• D10_1
• D10_2
• D10_3
• D10_4
• D10_5
• D10_6
• com - Communaute
• e1_1
• e1_2
• e1_3
• e1_4
• e1_5
• e2_1
• e2_2
• e2_3
• e2_4
• e2_5
• e3_1
• e3_2
• e3_3
• e3_4
• e3_5
• e4
• COM - Communaute
• E1_1
• E1_2
• E1_3
• E1_4
• E1_5
• E2_1
• E2_2
• E2_3
• E2_4
• E2_5
• E3_1
• E3_2
• E3_3
• E3_4
• E3_5
• E4
• com - Community id
• f1_1 - number of CARDER in your village
• f1_2 - number of NGO in your village
• f1_3 - number of private sector in your village
• f1_total - number of total service agents in your village
• f2_1 - how has the number of CAREDER changed since 1992
• f2_2 - how has the number of NGO changed since 1992
• f2_3 - how has the number of private sector changed since 1992
• f2_total - how has the number of total service agents changed since 1992
• COM - Communaute
• F1_1
• F1_2
• F1_3
• F1_TOTAL
• F2_1
• F2_2
• F2_3
• F2_TOTAL
• com - Community id
• g1_1 - area of maize (ha)
• g1_2 - area of rice (ha)
• g1_3 - area of sorghum/millet (ha)
• g1_4 - area of beans (ha)
• g1_5 - area of ground nuts (ha)
• g1_6 - area of cassava (ha)
• g1_7 - area of yams (ha)
• g1_8 - area of tomato (ha)
• g1_9 - area of onions (ha)
• g1_10 - area of cotton (ha)
• g1_11 - area of cashew (ha)
• g2_1 - output of maize (kg/ha)
• g2_2 - output of rice (kg/ha)
• g2_3 - output of sorghum/millet (kg/ha)
• g2_4 - output of beans (kg/ha)
• g2_5 - output of ground nuts (kg/ha)
• g2_6 - output of cassava (kg/ha)
• g2_7 - output of yams (kg/ha)
• g2_8 - output of tomato (kg/ha)
• g2_9 - output of onions (kg/ha)
• g2_10 - output of cotton (kg/ha)
• g2_11 - output of cashew (kg/ha)
• g3_1 - opinion on your village as maize producer
• g3_2 - opinion on your village as rice producer
• g3_3 - opinion on your village as sorghum/millet producer
• g3_4 - opinion on your village as beans producer
• g3_5 - opinion on your village as ground nuts producer
• g3_6 - opinion on your village as cassava producer
• g3_7 - opinion on your village as yams producer
• g3_8 - opinion on your village as tomato producer
• g3_9 - opinion on your village as onions producer
• g4_1 - how has the production of maize changed
• g4_2 - how has the production of rice changed
• g4_3 - how has the production of sorghum/millet changed
• g4_4 - how has the production of beans changed
• g4_5 - how has the production of ground nuts changed
• g4_6 - how has the production of cassava changed
• g4_7 - how has the production of yams changed
• g4_8 - how has the production of tomato changed
• g4_9 - how has the production of onions changed
• g4_10 - how has the production of cotton changed
• g4_11 - how has the production of cashew changed
• COM - Communaute
• G1_1
• G1_2
• G1_3
• G1_4
• G1_5
• G1_6
• G1_7
• G1_8
• G1_9
• G1_10
• G1_11
• G2_1
• G2_2
• G2_3
• G2_4
• G2_5
• G2_6
• G2_7
• G2_8
• G2_9
• G2_10
• G2_11
• G3_1
• G3_2
• G3_3
• G3_4
• G3_5
• G3_6
• G3_7
• G3_8
• G3_9
• G4_1
• G4_2
• G4_3
• G4_4
• G4_5
• G4_6
• G4_7
• G4_8
• G4_9
• G4_10
• G4_11
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• d01 - Type of crops
• d02 - Planting month
• d03 - Harvest month
• d04s - Area size
• d04u - Unit area
• d05q - Quantity of harvested
• d05u - Unit quantity
• d05e - Format of output
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• D01
• D02
• D03
• D04S
• D04U
• D05Q
• D05U
• D05E
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• d01 - Type of crops
• d02 - Planting month
• d03 - Harvest month
• d04s - Area size
• d04u - Unit area
• d05q - Quantity of harvested
• d05u - Unit quantity
• d05e - Format of output
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• D01
• D02
• D03
• D04S
• D04U
• D05Q
• D05U
• D05E
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• e01preph - man-hours for land preparation (male)
• e01prepf - man-hours for land preparation (female)
• e01prepe - man-hours for land preparation (child)
• e01plth - man-hours for planting (child)
• e01pltf - E01PLANTF
• e01plte - E01PLANTE
• e01sarch - man-hours for weeding/hoeing (male)
• e01sarcf - man-hours for weeding/hoeing (female)
• e01sarce - man-hours for weeding/hoeing (child)
• e01engrh - man-hours for fertilizer application (male)
• e01engrf - man-hours for fertilizer application (female)
• e01engre - man-hours for fertilizer application (child)
• e01recoh - man-hours for harvesting (male)
• e01recof - man-hours for harvesting (female)
• e01recoe - man-hours for harvesting (child)
• e01batth - man-hours for cleaning (male)
• e01battf - man-hours for cleaning (female)
• e01batte - man-hours for cleaning (child)
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• E01PREPH
• E01PREPF
• E01PREPE
• E01PLTH - E01PLANTH
• E01PLTF - E01PLANTF
• E01PLTE - E01PLANTE
• E01SARCH
• E01SARCF
• E01SARCE
• E01ENGRH
• E01ENGRF
• E01ENGRE
• E01RECOH
• E01RECOF
• E01RECOE
• E01BATTH
• E01BATTF
• E01BATTE
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• e01preph - man-hours for land preparation (male)
• e01prepf - man-hours for land preparation (female)
• e01prepe - man-hours for land preparation (child)
• e01plth - man-hours for planting (child)
• e01pltf - E01PLANTF
• e01plte - E01PLANTE
• e01sarch - man-hours for weeding/hoeing (male)
• e01sarcf - man-hours for weeding/hoeing (female)
• e01sarce - man-hours for weeding/hoeing (child)
• e01engrh - man-hours for fertilizer application (male)
• e01engrf - man-hours for fertilizer application (female)
• e01engre - man-hours for fertilizer application (child)
• e01recoh - man-hours for harvesting (male)
• e01recof - man-hours for harvesting (female)
• e01recoe - man-hours for harvesting (child)
• e01batth - man-hours for cleaning (male)
• e01battf - man-hours for cleaning (female)
• e01batte - man-hours for cleaning (child)
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• E01PREPH
• E01PREPF
• E01PREPE
• E01PLTH - E01PLANTH
• E01PLTF - E01PLANTF
• E01PLTE - E01PLANTE
• E01SARCH
• E01SARCF
• E01SARCE
• E01ENGRH
• E01ENGRF
• E01ENGRE
• E01RECOH
• E01RECOF
• E01RECOE
• E01BATTH
• E01BATTF
• E01BATTE
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture
• e02 - Did you hire labor for working in your plot
• e03prep - man-hours for land preparation
• e03plan - man-hours for planting
• e03sarc - man-hours for weeding/hoeing
• e03engr - man-hours for fertilizer application
• e03reco - man-hours for harvesting
• e03batt - man-hours for cleaning
• e04 - type of payment
• e05m - value of cash and in-kind compensation
• e05u - value unit
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• E02
• E03PREP
• E03PLAN
• E03SARC
• E03ENGR
• E03RECO
• E03BATT
• E04
• E05M
• E05U
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture
• e02 - Did you hire labor for working in your plot
• e03prep - man-hours for land preparation
• e03plan - man-hours for planting
• e03sarc - man-hours for weeding/hoeing
• e03engr - man-hours for fertilizer application
• e03reco - man-hours for harvesting
• e03batt - man-hours for cleaning
• e04 - type of payment
• e05m - value of cash and in-kind compensation
• e05u - value unit
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• E02
• E03PREP
• E03PLAN
• E03SARC
• E03ENGR
• E03RECO
• E03BATT
• E04
• E05M
• E05U
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• f01 - did you use fertilizers in your plot
• f02e - type of fertilizers 1
• f02q - quantity used of fertilizer 1 (kg)
• f02p - price of fertilizer 1 (FCFA per 50 kg bag)
• f03e - type of fertilizers 2
• f03q - quantity used of fertilizer 2 (kg)
• f03p - price of fertilizer 2 (FCFA per 50 kg bag)
• f04 - did you use fertilizer in your plot previously
• f05 - source of fertilizers
• f06 - the distance to fertilizer source (km)
• f07 - type of payment
• f08 - the source of credit
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• F01
• F02E
• F02Q
• F02P
• F03E
• F03Q
• F03P
• F04
• F05
• F06
• F07
• F08
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• f01 - did you use fertilizers in your plot
• f02e - type of fertilizers 1
• f02q - quantity used of fertilizer 1 (kg)
• f02p - price of fertilizer 1 (FCFA per 50 kg bag)
• f03e - type of fertilizers 2
• f03q - quantity used of fertilizer 2 (kg)
• f03p - price of fertilizer 2 (FCFA per 50 kg bag)
• f04 - did you use fertilizer in your plot previously
• f05 - source of fertilizers
• f06 - the distance to fertilizer source (km)
• f07 - type of payment
• f08 - the source of credit
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• F01
• F02E
• F02Q
• F02P
• F03E
• F03Q
• F03P
• F04
• F05
• F06
• F07
• F08
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• f09 - quantity of seeds used in your plot (kg)
• f10 - source of seeds
• f11m - price of seeds (FCFA)
• f11u - unit of price
• f12 - source of seeds
• f13 - the distance from seed sources (km)
• f14 - type of payment
• f15 - did you use pesticides in your plot
• f16 - total cost for pesticides (FCFA)
• f17 - source of pesticides
• f18 - how far the distance to purchase pesticides
• f19 - how did you pay for the payment
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• F09
• F10
• F11M
• F11U
• F12
• F13
• F14
• F15
• F16
• F17
• F18
• F19
• menage - HH id
• saison - Season
• champ - Field id
• parcelle - Plot id
• culture - Crop type
• f09 - quantity of seeds used in your plot (kg)
• f10 - source of seeds
• f11m - price of seeds (FCFA)
• f11u - unit of price
• f12 - source of seeds
• f13 - the distance from seed sources (km)
• f14 - type of payment
• f15 - did you use pesticides in your plot
• f16 - total cost for pesticides (FCFA)
• f17 - source of pesticides
• f18 - how far the distance to purchase pesticides
• f19 - how did you pay for the payment
• D_R
• MENAGE
• SAISON
• CHAMP
• PARCELLE
• CULTURE
• F09
• F10
• F11M
• F11U
• F12
• F13
• F14
• F15
• F16
• F17
• F18
• F19
• menage - HH id
• culture - Crop type
• g1 - changes on fertilizer used compared to 1992
• g2 - reason it changed
• g3 - changes on seeds used compared to 1992
• g4 - reason it changed
• g5 - changes on using hired labor compare to 1992
• g6 - reason it changed
• g7 - changes on number of female labor compared to 1992
• g8 - reason it changed
• D_R
• MENAGE
• CULTURE
• G1
• G2
• G3
• G4
• G5
• G6
• G7
• G8
• d_r
• menage - HH id
• h01 - did you apply for the credit
• h10 - reason not to apply
• h11 - the value of credit changed compared to 1992
• h12 - how was the change
• h13 - reason for the change
• D_R
• MENAGE
• H01
• H10
• H11
• H12
• H13
• menage - HH id
• h02 - who applied for the credit
• h03 - source of credit
• h04 - purpose of the credit
• h05 - did you received the loan
• h06 - amount you borrowed
• h07 - months you paid back
• h08 - in what form you have to pay back
• h09 - how much you have to repay
• menage - HH id
• h02 - who applied for the credit
• h03 - source of credit
• h04 - purpose of the credit
• h05 - did you received the loan
• h06 - amount you borrowed
• h07 - months you paid back
• h08 - in what form you have to pay back
• h09 - how much you have to repay
• menage - HH id
• culture - Crop type
• i01q - quantity of production for 2 seasons
• i01u - unit quantity of production for 2 seasons
• i02q - quantity of sales
• i02u - unit quantity of sales
• i03q - quantity of hh consumption
• i03u - unit quantity of hh consumption
• i04q - quantity used for seeds
• i04u - unit quantity used for seeds
• i05q - quantity used for livestock
• i05u - unit quantity used for livestock
• i06q - quantity used for gift etc.
• i06u - unit quantity used for gift etc.
• i07q - quantity used for other purpose
• i07u - unit quantity used for other purposed
• D_R
• MENAGE
• CULTURE
• I01Q
• I01U
• I02Q
• I02U
• I03Q
• I03U
• I04Q
• I04U
• I05Q
• I05U
• I06Q
• I06U
• I07Q
• I07U
• menage - HH id
• culture - Crop type
• i08m - sales month
• i08a - sales year
• i09q - quantity of sales
• i09u - unit quantity of sales
• i10v - crop price
• i10u - unit price
• i11 - to whom did you sell
• i12 - where did you sell
• i13 - how did you transport
• i14 - distance from point of sales to farm (km)
• i15 - status of transportation
• i16 - total transportation cost
• D_R
• MENAGE
• CULTURE
• I08M
• I08A
• I09Q
• I09U
• I10V
• I10U
• I11
• I12
• I13
• I14
• I15
• I16
• menage - HH id
• culture - Crop type
• i17 - changes in quantity of sales
• i18 - changes of type of buyer
• i19 - how was the change
• i20 - the criteria to choose the buyer
• i21 - who does control revenue from harvest
• i22 - has the control of revenue changed
• i23 - who was in charge in sales
• i24 - Has been any change since 1992
• D_R
• MENAGE
• CULTURE
• I17
• I18
• I19
• I20
• I21
• I22
• I23
• I24
• menage - HH id
• stockage - structure
• j1 - access to this type of storage
• j2 - ownership of storage
• j3q - quantity of the storage
• j3u - unit of quantity
• D_R
• MENAGE
• STOCKAGE
• J1
• J2
• J3Q
• J3U
• menage - HH id
• culture - Crop type
• j4q - quantity stored after a month harvest
• j4u - unit quantity
• j5 - number of months
• j6q - quantity lost
• j6u - unit quantity lost
• j7 - reason of loss
• j8 - main reason for storing after harvest
• D_R
• MENAGE
• CULTURE
• J4Q
• J4U
• J5
• J6Q
• J6U
• J7
• J8
• menage - HH id
• k1_1 - different variety of seeds
• k1_2 - fertilizer price
• k1_3 - control the vermins and bad herbs
• k1_4 - technique of crop production
• k1_5 - price and market crop
• k1_6 - agriculture reform
• k2 - is there any service agent
• k3 - number of contacting service agent in the past 12 months
• k4_1 - Utilization of agricultural inputs
• k4_2 - Method of crop production
• k4_3 - Achievement of credit for crop production
• k4_4 - Price of the inputs and/or crops
• k4_5 - Commercialization of crops
• k4_6 - Other assistance
• k5 - What kind of information on crop production you think more useful
• k6 - How has the access of extension service changed since 1992
• k7 - How has the access of information changed since 1992
• k8 - Who among the household consult the technical agent
• k9 - Is the person (s) who receives all the information from the technical agent is t
• D_R
• MENAGE
• K1_1
• K1_2
• K1_3
• K1_4
• K1_5
• K1_6
• K2
• K3
• K4_1
• K4_2
• K4_3
• K4_4
• K4_5
• K4_6
• K5
• K6
• K7
• K8
• K9
• menage - HH id
• bien_al - food type
• l1 - did you consume in the past 12 months
• l2 - how many months did you purchase it
• l3fois - how frequent you purchase in a month
• l3u - unit of period
• l4 - the average value of purchase
• l5q - the average quantity
• l5u - unit of quantity
• l6 - who was responsible for the purchase
• l7 - has your household consumed your own production in the past 12 months
• l8q - the quantity consumed
• l8u - unit of quantity
• D_R
• MENAGE
• BIEN_AL
• L1
• L2
• L3FOIS
• L3U
• L4
• L5Q
• L5U
• L6
• L7
• L8Q
• L8U
• d_r
• menage
• bien_na1
• l09
• l10
• l11
• D_R
• MENAGE
• BIEN_NA1
• L09
• L10
• L11
• d_r
• menage
• bien_na2
• l12
• l13
• l14
• D_R
• MENAGE
• BIEN_NA2
• L12
• L13
• L14
• menage - HH id
• membre - hh member
• saison - season
• m1 - hrs for agriculture production
• m2 - hrs for post-harvest activities
• m3 - hrs for other work or non-agri production
• m4 - hrs for leisure
• m5 - hrs for personal time
• m6 - hrs for household works
• m7 - hrs for fuel wood collection
• m8 - hrs for water collection
• m9 - how the activities changed since 1992
• D_R
• MENAGE
• MEMBRE
• SAISON
• M1
• M2
• M3
• M4
• M5
• M6
• M7
• M8
• M9
• menage - HH id
• actif - type of asset
• n1 - ownership of asset
• n2 - number of asset owned
• n3 - number of years own the asset
• n4 - the value when purchased
• n5 - who purchased the assets
• D_R
• MENAGE
• ACTIF
• N1
• N2
• N3
• N4
• N5
• menage - HH id
• actif - type of agri-asset
• n7 - ownership of asset
• n8 - number of asset owned
• n9 - the current value of asset
• n10 - number of years own the asset
• n11 - the value of asset when purchased
• D_R
• MENAGE
• ACTIF
• N7
• N8
• N9
• N10
• N11
• menage - HH id
• source - source of income
• o1 - share of sources
• o2 - the amount of total income in cash and in-kind received from each source
• o3 - percentage of each sources
• o4 - who earns the revenue
• o5 - who decides on spending
• o6 - any changes in the source of revenue compare to 1992
• D_R
• MENAGE
• SOURCE
• O1
• O2
• O3
• O4
• O5
• O6
• menage - HH id
• p1a - change in profitability of maize
• p1b - change in profitability of cassava
• p1c - change in profitability of yams
• p1d - change in profitability of cotton
• p2a - availability of modern seeds
• p2b - availability of hired labor
• p2c - availability of fertilizer
• p2d - availability of pesticides
• p2e - number of traders to buy crops
• p2f - volatility of prices
• p2g - availability of price information
• p2h - road condition
• p3 - how is your overall living standard compared to 1992
• p4 - reason for change
• D_R
• MENAGE
• P1A
• P1B
• P1C
• P1D
• P2A
• P2B
• P2C
• P2D
• P2E
• P2F
• P2G
• P2H
• P3
• P4
• vill
• village
• wgt1
• VILL
• VILLAGE
• WGT1

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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f2418327 Location:

Variable Format: numeric

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