<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="WLD_2007_RSHS_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          RuralStruc Household Survey merged 2007-2008
        </titl>
        <IDNo>
          DDI_WLD_2007_RSHS_v01_M
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="AFTAR" affiliation="World Bank" role="Producer">
          World Bank. Africa Region. Sustainable Development Department. Agriculture and Rural Development Unit
        </producer>
        <producer abbr="MAEE" affiliation="Government of France" role="Producer">
          French Ministry of Foreign and European Affairs
        </producer>
        <producer abbr="CIRAD" affiliation="Government of France" role="Producer">
          Centre de Coopération Internationale en Recherche Agronomique pour le Développement
        </producer>
        <prodDate date="2011-05-15">
          2011-05-15
        </prodDate>
        <software version="1.1" date="2009-03-19">
          Metadata Editor
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1.0 (May 2011)
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          RuralStruc Household Survey 2007-2008
        </titl>
        <altTitl>
          RSHS 2007-2008
        </altTitl>
        <IDNo>
          WLD_2007_RSHS_v01_M
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="World Bank; French Ministry of Foreign and European Affairs; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD)">
          RuralStruc Program Coordination Team
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer affiliation="Egerton University" role="Producer of the Kenya RuralStruc dataset">
          Tegemeo Institute
        </producer>
        <producer role="Producer of the Madagascar RuralStruc dataset">
          APB Consulting
        </producer>
        <producer abbr="IER" role="Producer of the Mali RuralStruc dataset">
          Institut d’Économie Rurale
        </producer>
        <producer abbr="MSU" role="Producer of the Mali RuralStruc dataset">
          Michigan State University
        </producer>
        <producer abbr="CIRAD" role="Producer of the Mali RuralStruc dataset">
          Centre de Coopération Internationale en Recherche Agronomique pour le Développement
        </producer>
        <producer abbr="FLACSO" role="Producer of the Mexico RuralStruc dataset">
          Facultad Latinoamericana de Ciencias Sociales - Mexico
        </producer>
        <producer role="Producer of the Morocco RuralStruc dataset">
          Icon2e
        </producer>
        <producer abbr="Nitlapan" affiliation="Universidad Centroamericana" role="Producer of the Nicaragua RuralStruc dataset">
          Instituto de Investigación y Desarrollo Nitlapán
        </producer>
        <producer abbr="IPAR" role="Producer of the Senegal RuralStruc dataset">
          Initiative Prospective Agricole et Rurale
        </producer>
        <copyright>
          (c) RuralStruc Surveys
        </copyright>
        <software version="1.1" date="2009-03-19">
          Metadata Editor
        </software>
        <fundAg abbr="RuralStruc MDTF" role="Funding of the overall RuralStruc Program">
          RuralStruc Multi donor Trust Fund
        </fundAg>
        <fundAg role="Contributor to the RuralStruc Program through World Bank budget, and management of the RuralStruc MDTF">
          World Bank
        </fundAg>
        <fundAg abbr="AFD" role="Contributor to the RuralStruc MDTF">
          Agence Française de Développement
        </fundAg>
        <fundAg abbr="MAEE" role="Contributor to the RuralStruc MDTF and to the RuralStruc Coordination Team">
          French Ministry of Foreign and European Affairs
        </fundAg>
        <fundAg abbr="FIDA" role="Contributor to the RuralStruc MDTF">
          International Fund for Agricultural Development
        </fundAg>
        <fundAg abbr="MAP" role="Contributor to the RuralStruc MDTF">
          French Ministry of Food, Agriculture and Fisheries
        </fundAg>
        <fundAg abbr="CIRAD" role="Contributor to the RuralStruc Coordination Team">
          Centre de Coopération Internationale en Recherche Agronomique pour le Développement
        </fundAg>
        <fundAg role="Additional contributor to the RuralStruc Program in Nicaragua">
          Finnish Ministry of Foreign Affairs
        </fundAg>
        <fundAg abbr="SDC" role="Additional contributor to the RuralStruc Program in Madagascar and Senegal">
          Swiss Agency for Development and Cooperation
        </fundAg>
        <grantNo agency="RuralStruc MDTF" role="Funding of the overall RuralStruc Program">
          TF054027
        </grantNo>
      </prodStmt>
      <serStmt>
        <serName>
          Other Household Health Survey [hh/hea]
        </serName>
        <serInfo>
          The RuralStruc Survey was part of a three-years research Program (2007-2010) on the 'Structural Dimensions of Liberalization in Agriculture and Rural Development' is a joint initiative of the World Bank, the French Cooperation (the French Development Agency, the Ministry of Agriculture and Fisheries, the Ministry of Foreign and European Affairs, the Agricultural Research Centre for International Development (CIRAD) and the International Fund for Agricultural Development). It is managed by the World Bank, and implemented by national teams in the participating countris (Mali, Senegal, Madagascar, Kenya, Morocco, Nicaragua, and Mexico).
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2010-06-30">
          v2.1: Edited, anonymous dataset for public distribution
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="CESSDA">
          Employment
        </topcClas>
        <topcClas vocab="CESSDA">
          Demography
        </topcClas>
      </subject>
      <abstract>
        The study includes a merged core data file from the 7 country RuralStruc surveys conducted in 2007-2008.
      </abstract>
      <sumDscr>
        <collDate date="2007-11-01" event="start" cycle="Madagascar"/>
        <collDate date="2008-01-31" event="end" cycle="Madagascar"/>
        <collDate date="2008-02-01" event="start" cycle="Mali "/>
        <collDate date="2008-04-30" event="end" cycle="Mali "/>
        <collDate date="2008-02-01" event="start" cycle="Nicaragua"/>
        <collDate date="2008-03-31" event="end" cycle="Nicaragua"/>
        <collDate date="2008-02-01" event="start" cycle="Senegal"/>
        <collDate date="2008-03-31" event="end" cycle="Senegal"/>
        <collDate date="2008-03-01" event="start" cycle="Mexico"/>
        <collDate date="2008-03-31" event="end" cycle="Mexico"/>
        <collDate date="2008-04-01" event="start" cycle="Kenya"/>
        <collDate date="2008-05-31" event="end" cycle="Kenya"/>
        <collDate date="2008-04-01" event="start" cycle="Morocco"/>
        <collDate date="2008-05-31" event="end" cycle="Morocco"/>
        <nation abbr="WLD">
          World
        </nation>
        <geogCover>
          <![CDATA[Areas covered in the data are selected rural areas in the following regions:

- in Kenya: Bungoma, Nakuru North, Nyando

- in Madagascar: Alaotra, Antsirabe, Itasy, Morondava

- in Mali: Diema, Koutiala, Macina, Tominian

- in Mexico: Tequisquiapan (Queretaro), Sotavento (Veracruz)

- in Morocco: Chaouia, Saiss, Souss

- in Nicaragua: El Cua, El Viejo, La Libertad, Muy Muy, Terrabona

- in Senegal: Casamance, Mekhe, Nioro, Senegal River Delta.

For more detailed information on geographic coverage, data users can refer to the RuralStruc National Reports.]]>
        </geogCover>
        <geogUnit>
          <![CDATA[The lowest level of geographic aggregation covered by the data is zones. These either correspond to existing administrative units, or were zones created for this study by the Program national teams by dividing administrative units  into relatively homogenous sub-units.

This was the case in:

- Madagascar, where Alaotra and Antsirabe regions were divided in two zones (1 and 2)

- Mexico, where the Sotavento region was divided in two zones (Terras Bajas and Sierra Santa Marta)

- Senegal, where Mekhe and Senegal River Delta were divided in two zones (1 and 2).

For detailed information on the rationale corresponding to the definition of each zone, the data users can refer to the National Reports.]]>
        </geogUnit>
        <anlyUnit>
          <![CDATA[The basic unit of observation and analysis that the study describes is the rural household, with the exception of Mali.The preference for rural and not only farm households was justified by the objective of identifying more precisely agriculture's role with respect to other rural activities and sources of income. This option was not neutral, as it refers to analytical categories whose definition are more complicated than one may believe a priori, like the definition of what “rural” is, its characterization varying between countries. The Program National teams considered the following definitions for rural housholds:

-Kenya: "The household was defined as a family living together, eating together, and making farming and other household decisions as a unit"'

-Madagascar :" Le ménage est un ensemble de personnes avec ou sans lien de parenté, vivant sous le même toit ou dans la même concession, prenant leur repas ensemble ou par petits groupes, mettant une partie ou la totalité de leurs revenus en commun pour la bonne marche du groupe, et dépendant du point de vue des dépenses d'une même autorité appelée chef de ménage », le chef de ménage étant la personne reconnue comme tel par l’ensemble des membres du ménage".

-Mali : "La Loi d’Orientation Agricole (LOA), dans ses articles 10 à 28, définit ce que sont les exploitations agricoles au Mali. « L’exploitation agricole est une unité de production dans laquelle l’exploitant et/ou ses associés mettent en oeuvre un système de production agricole. Elles sont classées en deux catégories : l’exploitation agricole familiale et l’entreprise agricole. L’exploitation agricole familiale est constituée d’un ou de plusieurs membres unis librement par des liens de parenté ou des us et coutumes et exploitant en commun les facteurs de production en vue de générer des ressources sous la direction d’un des membres, désigné chef d’exploitation, qu’il soit de sexe masculin ou féminin. Le chef d’exploitation assure la maîtrise d’oeuvre et veille à l’exploitation optimale des facteurs de production. Il exerce cette activité à titre principal et représente l’exploitation dans tous les actes de la vie civile. Sont reconnus comme exerçant un métier Agricole, notamment, les agriculteurs, éleveurs, pêcheurs, exploitants forestiers".

-Maroc : "L’unité ménage renvoie au groupe domestique qui est défini comme une unité de résidence, de production et de consommation. Le plus souvent, le groupe domestique a pour noyau une famille, à laquelle peuvent s’ajouter des parents éloignés ou des « étrangers ». Il peut aussi se composer de plusieurs familles nucléaires comme il peut rassembler des personnes sans aucun lien de parenté".

-Mexico : "El Instituto Nacional de Estadística Geografía e Informática (INEGI) usa el concepto de localidad que define como “todo lugar ocupado por una vivienda o conjunto de viviendas, de las cuales al menos una está habitada. El lugar es reconocido comúnmente por un nombre dado por la ley o la costumbre”, y por otro considera que una localidad es rural cuando tiene menos de 2 500 habitantes. El INEGI define también en concepto de hogar como una “unidad doméstica [que] hace referencia a una organización estructurada a partir de lazos o redes sociales establecidas entre personas unidas o no por relaciones de parentesco, que comparten una misma vivienda y organizan en común la reproducción de la vida cotidiana a partir de un presupuesto común para la alimentación, independientemente de que se dividan otros gastos”.

-Nicaragua : "Se define hogar como el número de personas comparten una olla común. Un hogar puede estar compuesto de una o más familias. La definición oficial en Nicaragua de rural es aquel territorio que “comprenden los poblados de menos de 1000 habitantes que no reúnen las condiciones urbanísticas mínimas indicadas y la población dispersa.” INEC, 2007".

-Senegal : "Le rural se définit par opposition à l’urbain, constitué par les villes et les communes, même à dominance rurale. Au Sénégal, les populations d’une commune sont de facto considérées comme des urbains ; or, plusieurs communes sont composées à plus de la moitié par des agriculteurs. Le ménage rural se définit comme un groupe familial résidant en milieu rural au sein duquel s’organisent la production agricole et/ou non agricole, la préparation et la consommation des repas. Traditionnellement, le ménage rural se confond avec le ménage agricole ; toutefois, on note de plus en plus que la nourriture du ménage rural provient de moins en moins de la production ou des revenus tirés de l’agriculture au sens large : production agricole, élevage, pêche et foresterie. L’unité familiale de production et de consommation16 ne coïncide pas forcément avec l’unité de résidence, ker en wolof ou galle en pulaar".

For detailed information on the rationale corresponding to the definition of rural households, the data users can refer to the National Reports, available as External Resources.]]>
        </anlyUnit>
        <universe>
          The universe covered by the study includes rural households and all household members that were selected in the study areas.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The scope coverred by the RuralSturc Surveys includes:

- Rural household: Composition of household, Accommodation characteristics and quality of life; Description of economic activities of all the members of the household, including non-farm activities and related income sources; Identification and characterization of household members who migrated (long- and short-term migrations) and of related remittances to the remaining members of the household; Identification of public transfers received by the household; Characterization of the human and social capital of the head of household and his spouse.

- Household's capital in terms of assets and factors endowment and identification of its development trend: Land (owned or rented); Material and equipment (owned or rented); Rentals; Other properties dedicated to economic activities: estimates of activities income and rental costs). 

- On-farm activities: crops, livestock, fishing, hunting and gathering activities, processing on-farm of vegetal and animal products, market integration and contractualization issues.

- Food and household expenditures: costs of food and its origin (farm production, purchases, gifts, etc.), food shortage management strategies and household perceptions of the evolution of their food security, current and occasional expenditures, investments in durable goods, credit, savings, as well as transfers that rural households might send to others.

- Trajectories issues and rural households perspectives in terms of activities: parents' activities, development of non-farm activities, and perspectives for children in terms of activities and farm transferability, as well as perception of the evolution of livelihoods.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector>
          Kenya: Egerton University
        </dataCollector>
        <dataCollector abbr="ROR" affiliation="EPP-PADR">
          Madagascar: Reseau des Observatoires Ruraux
        </dataCollector>
        <dataCollector abbr="IER">
          Mali: Institut d’Économie Rurale
        </dataCollector>
        <dataCollector abbr="GAUSSC REDES">
          Mexico: Grupo de Asesores Unidos S.C.
        </dataCollector>
        <dataCollector abbr="Nitlapan" affiliation="Universidad Centroamericana">
          Nicaragua: Nitlapán
        </dataCollector>
        <dataCollector abbr="ASPRODEB">
          Senegal: Association Sénégalaise pour la Promotion du Développement à la Base
        </dataCollector>
        <sampProc>
          <![CDATA[With the objective of 300 to 400 surveyed households per region (i.e. between 900 and 1,200 surveys per country),the Program National teams engaged in the sampling process in two steps. 
The first step was the selection of the localities to be surveyed, with consideration of regions' characteristics and national team expertise. 
The second step was the sampling itself, which was based on existing census lists or intentionally prepared locality household lists. 
Then, households were selected at random, targeting a sufficient number of households per locality allowing representativeness at local level.

In the seven countries, 8,061 rural households' surveys were selected for the sample in 26 regions and 167 localities (depending on the settlement structure), and 7,269 were successfully interviewed and kept for the analysis. In Mali, the 634 household surveys (at the family farm level) were completed by 643 interviews with dependent households and 749 interviews with women.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The merged dataset was constructed from variables extracted from national datasets.  

For details on questions relating to these variables, see the attached questionnaires for each country survey. 
Each country questionnaire was derived and adapted from a questionnaire template which was designed collectively by the RuralStruc Program Coordination team and the national teams.

The original page and question numbers for each variable is included in the variable descriptions.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The interviewed person was the head of household. If the head of the household was absent or unavailable, and if there was no other knowledgeable adult household member (e.g head of household' s partner) able to answer the question, the household was dropped and replaced.

Every RuralStruc National team organized specific training of enumerators and conducted a pilot to test the survey instrument.

The interviews were always conducted in the interviewed person's mother tongue.

Due to the very detailed questionnaire, and depending on the household characteristics (number of household members, number of activities and incomes, farm size in the case of a farm household, etc.), the recorded interview duration varied between 1 and 5 hours (case of the large family farms in Mali).

For more details on data collection, the data user should refer to the National Reports of each survey country.]]>
        </collSitu>
        <actMin>
          For details on supervision of data collection, the data user should refer to the National Reports of each survey country
        </actMin>
        <weight>
          The data is unweighted
        </weight>
        <cleanOps>
          <![CDATA[Secondary editing of the data in this core dataset included:

(i)  Data in local currency units (for example, incomes, prices, sales of agricultural products) were converted to international dollars ($ PPP), for comparability across national surveys. Purchasing Power Parity conversion rates were calculated using the World Bank Development Data Platform. They refer to the period January 2007 to April 2008. The conversion rates between $1 PPP and local currency units are the following:
- Kenya: 34 Kenyan Shilling
- Madagascar: 758.7 Ariary
- Mali: 239.6 CFA Franc
- Mexico: 7.3 Mexican Peso
- Morocco: 4.8 Dirham
- Nicaragua: 6.7 Cordoba
- Senegal: 258.6 CFA Franc

(ii) Data in local currency units were converted into kilo-calories, for comparability across national surveys. In all the studied zones, diets rely primarily on cereals - at least in terms of energy. Thus, the basic cereal of each zone (or basket of cereals in the case of Mali) was used as a reference. The conversion rates between Kg of cereals and Kcal are those provided by the FAO's Food Balance Sheets (FAO 2001).
The prices of cereals are those used by the RuralStruc national teams to estimate the value of self-consumption. These prices correspond with the average producer sale prices (or the median in the case of Madagascar) for the surveyed year. One will note that, in general, the farm income for the poorest households largely consists of self-consumption of cereals, which are valued, therefore, at the producer sale price. The average cereal prices and kilocalorie ratios permitted calculation of a price for units of 1000 Kcal in $PPP and then to convert the estimated monetary incomes in incomes in kilocalories equivalent. For detailed information, data users can refer to the methodological annex of the synthesis report.

(iii) Recoding of the geographical component of the household identifier


For more details on data editing, the data user should refer to the variable descriptions.]]>
        </cleanOps>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[All users of this dataset should undertake:

1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.

2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.

3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his
analysis will be immediately brought to the attention of the data depositor.]]>
        </confDec>
        <contact>
          World Bank
        </contact>
        <citReq>
          <![CDATA[Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and  year of implementation)
- the survey reference number
- the source and date of download

Example:

RuralStruc Program Coordination Team. RuralStruc Household Survey (RSHS) 2007-2008. Ref. WLD_2008_RSHS_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].]]>
        </citReq>
        <conditions>
          Public use files, accessible to all
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F3" URI="WLD_2007_RSHS_v01_M.Nesstar?Index=0&amp;Name=RuralStruc Merged_v1.0.stata">
    <fileTxt>
      <fileName>
        RuralStruc Merged_v1.0.NSDstat
      </fileName>
      <fileCont>
        The file contains data extracted and/or derived from data extracted from the seven data sets that were prepared by theseven participating national teams of the RuralStruc program. The file was generated using a data mining, statistical package named SPSS (Statistical Package for the Social Sciences v17.0) available on external resources.
      </fileCont>
      <dimensns>
        <caseQnty>
          7269
        </caseQnty>
        <varQnty>
          171
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        The data file was produced by RuralStruc coordination team, based on the data sets provided by the seven participating country teams.
      </filePlac>
      <dataMsng>
        Missing data were not given sany specific coding and corresponds to the SPSS coding "Sysmiss".
      </dataMsng>
      <verStmt>
        <version>
          v1.0
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V172" name="Id" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        identification of the household
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="101102101" max="707900988"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        101102101
      </sumStat>
      <sumStat type="max">
        707900988
      </sumStat>
      <sumStat type="mean">
        405116977.093
      </sumStat>
      <sumStat type="stdev">
        182868189.162
      </sumStat>
      <txt>
        The identification number of the household corresponds to a unique number allowing identifying the household in the merged dataset as well as in each national dataset
      </txt>
      <codInstr>
        <![CDATA[The identification number of the household was determined using the identification number of the household in each national database, the code of the zone, and the code of the country as following:

Id=c_Country * 10000000 + c_Zone * 10000 + Num_hh]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V173" name="c_Country" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Code of country
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="10" max="70"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The code of the country was attributed for the seven RuralStruc country, and the order took into account the level of the average global income estimated for the interviewed households
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          2018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          1458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          684
        </catStat>
      </catgry>
      <codInstr>
        A code of the country was attributed for the seven RuralStruc countries, and orderded taking into account the level of the average global income estimated in each zone.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V174" name="c_Zone" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Identification of the level of analysis
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p1 Province

Mada:p1  J41

Mali: p1 Code village

Maroc: p1 Nom de la commune rurale

Mexico: p1 Municipio

Nicaragua: p1 Municipio

Senegal p1 A1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="110" max="795"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[The lowest level of geographic aggregation covered by the data is zones. These either correspond to existing administrative units, or were zones created for this study by the Program national teams by dividing administrative units  into relatively homogenous sub-units. This was the case in:

- Madagascar, where Alaotra and Antsirabe regions were divided in two zones (1 and 2)

- Mexico, where the Sotavento region was divided in two zones (Terras Bajas and Sierra Santa Marta)

- Senegal, where Mekhe and Senegal River Delta were divided in two zones (1 and 2).

For detailed information on the rationale corresponding to the definition of each zone, the data users can refer to the National Reports.]]>
      </txt>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Tominian
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Diéma
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Koutiala
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Macina
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Casamance
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          BA Nord 1
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          BA Sud
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Haut Delta
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          BA Nord 2
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Bas Delta
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Antsirabe 2
        </labl>
        <catStat type="freq">
          303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Alaotra 1
        </labl>
        <catStat type="freq">
          385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Morondava
        </labl>
        <catStat type="freq">
          506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Itasy
        </labl>
        <catStat type="freq">
          503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Antsirabe 1
        </labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Alaotra 2
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Bungoma
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Nyando
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          Nakuru North
        </labl>
        <catStat type="freq">
          289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Chaouia
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Saiss
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Souss
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Muy Muy
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Terrabona
        </labl>
        <catStat type="freq">
          281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          El Viejo
        </labl>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          La Libertad
        </labl>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          El Cuá
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Sierra Santa Marta
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          790
        </catValu>
        <labl>
          Tierras Bajas
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Tequisquiapan
        </labl>
        <catStat type="freq">
          364
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V175" name="Num_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Identification number of the household
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4628"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4628
      </sumStat>
      <sumStat type="mean">
        895.101
      </sumStat>
      <sumStat type="stdev">
        825.294
      </sumStat>
      <txt>
        <![CDATA[The Program national teams considered the following definitions for the rural housholds:

-Kenya: The household was defined as a family living together, eating together, and making farming and other household decisions as a unit.

-Madagascar : Le ménage est un « ensemble de personnes avec ou sans lien de parenté, vivant sous le même toit ou dans la même concession, prenant leur repas ensemble ou par petits groupes, mettant une partie ou la totalité de leurs revenus en commun pour la bonne marche du groupe, et dépendant du point de vue des dépenses d'une même autorité appelée chef de ménage », le chef de ménage étant la personne reconnue comme tel par l’ensemble des membres du ménage.

-Mali : La Loi d’Orientation Agricole (LOA), dans ses articles 10 à 28, définit ce que sont les exploitations agricoles au Mali. « L’exploitation agricole est une unité de production dans laquelle l’exploitant et/ou ses associés mettent en oeuvre un système de production agricole ». Elles sont classées en deux catégories : l’exploitation agricole familiale et l’entreprise agricole. « L’exploitation agricole familiale est constituée d’un ou de plusieurs membres unis librement par des liens de parenté ou des us et coutumes et exploitant en commun les facteurs de production en vue de générer des ressources sous la direction d’un des membres, désigné chef d’exploitation, qu’il soit de sexe masculin ou féminin. Le chef d’exploitation assure la maîtrise d’oeuvre et veille à l’exploitation optimale des facteurs de production. Il exerce cette activité à titre principal et représente l’exploitation dans tous les actes de la vie civile. Sont reconnus comme exerçant un métier Agricole, notamment, les agriculteurs, éleveurs, pêcheurs, exploitants forestiers ».

-Morocco : L’unité ménage renvoie au groupe domestique qui est défini comme une unité de résidence, de production et de consommation. Le plus souvent, le groupe domestique a pour noyau une famille, à laquelle peuvent s’ajouter des parents éloignés ou des « étrangers ». Il peut aussi se composer de plusieurs familles nucléaires comme il peut rassembler des personnes sans aucun lien de parenté.

-Mexico : El Instituto Nacional de Estadística Geografía e Informática (INEGI) usa el concepto de localidad que define como “todo lugar ocupado por una vivienda o conjunto de viviendas, de las cuales al menos una está habitada. El lugar es reconocido comúnmente por un nombre dado por la ley o la costumbre”, y por otro considera que una localidad es rural cuando tiene menos de 2 500 habitantes. El INEGI define también en concepto de hogar como una “unidad doméstica [que] hace referencia a una organización estructurada a partir de lazos o redes sociales establecidas entre personas unidas o no por relaciones de parentesco, que comparten una misma vivienda y organizan en común la reproducción de la vida cotidiana a partir de un presupuesto común para la alimentación, independientemente de que se dividan otros gastos”.

-Nicaragua : Se define hogar como el número de personas comparten una olla común. Un hogar puede estar compuesto de una o más familias. La definición oficial en Nicaragua de rural es aquel territorio que “comprenden los poblados de menos de 1000 habitantes que no reúnen las condiciones urbanísticas mínimas indicadas y la población dispersa.” INEC, 2007

 -Senegal : Le rural se définit par opposition à l’urbain, constitué par les villes et les communes, même à dominance rurale. Au Sénégal, les populations d’une commune sont de facto considérées comme des urbains ; or, plusieurs communes sont composées à plus de la moitié par des agriculteurs. Le ménage rural se définit comme un groupe familial résidant en milieu rural au sein duquel s’organisent la production agricole et/ou non agricole, la préparation et la consommation des repas. Traditionnellement, le ménage rural se confond avec le ménage agricole ; toutefois, on note de plus en plus que la nourriture du ménage rural provient de moins en moins de la production ou des revenus tirés de l’agriculture au sens large : production agricole, élevage, pêche et foresterie. L’unité familiale de production et de consommation16 ne coïncide pas forcément avec l’unité de résidence, ker en wolof ou galle en pulaar. For detailed information on the rationale corresponding to the definition of rural households, the data users can refer to the National Reports.]]>
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V176" name="c_Qtl_Zone_RevG_EqA" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Quintile Groups of households
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The Quintile Groups of Housholds correspond to groups of 20% of households ranked by their global income level per adult equivalents. The Quintile groups were defined at the zone level.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Q1
        </labl>
        <catStat type="freq">
          1443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Q2
        </labl>
        <catStat type="freq">
          1457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Q3
        </labl>
        <catStat type="freq">
          1464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Q4
        </labl>
        <catStat type="freq">
          1456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Q5
        </labl>
        <catStat type="freq">
          1449
        </catStat>
      </catgry>
      <codInstr>
        Within each zone, households were ranked by the value of their global income per adult equivalent, a quintile group corresponding to the ranking of 20% of households of each zone.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V177" name="Nb_PersonTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Number of members in the household, including long-term migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="77"/>
      </valrng>
      <sumStat type="vald">
        7268
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        77
      </sumStat>
      <sumStat type="mean">
        7.741
      </sumStat>
      <sumStat type="stdev">
        5.669
      </sumStat>
      <txt>
        A member of a household is any person mentioned by the interviewee that is part of the household, including long-term migrants (&gt;6 months)
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p2 Module 1 and p4 Q2

Madagascar: p2 module M M2a.2 and module X_J XM3

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12

Mexico: p4 Q22 and Q23

Morocco: p1 M11 and p2 M12

Nicaragua p2 Q13
Senegal: p3-4 section B B0 and p2 section B B5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V178" name="Nb_PersonPres_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Number of members of the household excluding long-term migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="73"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        73
      </sumStat>
      <sumStat type="mean">
        7.377
      </sumStat>
      <sumStat type="stdev">
        5.366
      </sumStat>
      <txt>
        All members of the household listed by the interviewee, excluding long-term migrants (&gt;6months).
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p4 Q2

Madagascar: p2 module M M2a.1 and module X_J XM2

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12

Mexico Q47

Nicaragua: p2 Q13 C9
Senegal: p3-4 section B B0 and p2 section B B5 and p8-9 section E B0]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V179" name="Nb_EqA_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Number of adult equivalent in the household, based on all the present members of
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.74" max="58.32"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.74
      </sumStat>
      <sumStat type="max">
        58.32
      </sumStat>
      <sumStat type="mean">
        6.132
      </sumStat>
      <sumStat type="stdev">
        4.42
      </sumStat>
      <txt>
        <![CDATA[In order to deal with heterogeneous demographic household structures, adult equivalent values (EqA) were applied. the RS program chose to use a simple approach based on nutritional needs as defined by the World Health organization (WHO). 

For detailed information on th conversion rates applied, the data user can refer to the methodological annex of the synthesis report.]]>
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p2 Module 1 age and sex

Madagascar: p2 module M M4 and M5

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12 (sexe (1) and age (ans))

Mexico: p4 Q24 and Q25 + p8 Q46

Nicaragua: p2 Q13 C4-C5

Senegal: p3-4 section B B9 and B10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V180" name="Nb_EAP_Tot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Total Number of Economically Active Population in the HH
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="34"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        34
      </sumStat>
      <sumStat type="mean">
        4.022
      </sumStat>
      <sumStat type="stdev">
        2.924
      </sumStat>
      <txt>
        <![CDATA[Following the International Labor Organization definition,  the Program national teams considered that Economically Active Population (EAP) includes all members aged between 15 and 64 years.]]>
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p2 Module 1 age and sex

Madagascar: p2 module M M5

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12 (sexe (1) and age (ans))

Mexico: p4 Q24 and Q25 + p8 Q46

Nicaragua: p2 Q13 C5

Senegal: p3-4 section B B9 and B10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="Nb_EAP_Male_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of economically active males (aged 15-64 yrs) in the household (current m
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="18"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The males of the Economically Active Population (EAP) includes all male members aged between 15 and 64 years.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p2 Module 1 age and sex

Madagascar: p2 module M M4 and M5

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12 (sexe (1))

Mexico: p4 Q24 and Q25 + p8 Q46

Nicaragua: p2 Q13 C4.1 C5

Senegal: p3-4 section B B9 and B10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V182" name="Nb_EAP_Fem_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Number of economically active females (aged 15-64 yrs) in the household (current
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="21"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21
      </sumStat>
      <sumStat type="mean">
        2.017
      </sumStat>
      <sumStat type="stdev">
        1.702
      </sumStat>
      <txt>
        The females of the Economically Active Population (EAP) includes all female members aged between 15 and 64 years.
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya: p2 Module 1 age and sex

Madagascar: p2 module M M4 and M5

Mali: p3 M1/4

Morocco: p1 M11 and p2 M12 (sexe (1))

Mexico: p4 Q24 and Q25 + p8 Q46

Nicaragua: p2 Q13 C4.2 C5

Senegal: p3-4 section B B9 and B10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V183" name="Ratio_Activity" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        nb active/nb inactive members (members of the total household, including all mig
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="24"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24
      </sumStat>
      <sumStat type="mean">
        1.374
      </sumStat>
      <sumStat type="stdev">
        1.425
      </sumStat>
      <txt>
        The Activity ratio corresponds to the ratio between the active population (EAP) and the inactives (elders and children), all the households members being included.
      </txt>
      <codInstr>
        The variable is derived from the number of EAP and the total household members.The data users can refers to the definition of these variables for detailed information.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V184" name="Ratio_Dependency" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        <![CDATA[nb inactive/nb active members  (members of the households that are present, excl]]>
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        7168
      </sumStat>
      <sumStat type="invd">
        101
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0.822
      </sumStat>
      <txt>
        The dependency ratio corresponds the ratio between the inactive population (elders and children) and the EAP, only the present members being included.
      </txt>
      <codInstr>
        The variable is derived from the number of EAP and the present household members. The data users can refers to the definition of these variables for detailed information.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V185" name="Nb_Children_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of children (under 15)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="47"/>
      </valrng>
      <sumStat type="vald">
        6583
      </sumStat>
      <sumStat type="invd">
        686
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        47
      </sumStat>
      <sumStat type="mean">
        3.4
      </sumStat>
      <sumStat type="stdev">
        3.345
      </sumStat>
      <txt>
        A child is a non-EAP household member, i.e. a member whose age is under 15 years.
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix for household characteristics in each national database, located in the following modules:

Kenya:p2 Module 1 age

Madagascar:p2 module M M5

Mali: p3 M1/4

Morocco: p2 M12

Mexico: p4 Q24

Nicaragua: p2 Q13 C5

Senegal:p3-4 section B B9 and B10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V186" name="Ratio_Children" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of children / total size of the household (including all migrants)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1.6"/>
      </valrng>
      <sumStat type="vald">
        6583
      </sumStat>
      <sumStat type="invd">
        686
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1.6
      </sumStat>
      <sumStat type="mean">
        0.419
      </sumStat>
      <sumStat type="stdev">
        0.28
      </sumStat>
      <txt>
        The children ratio corresponds to the ratio between the number of children and all the households members.
      </txt>
      <codInstr>
        The variable is derived from the number of children and the present household members. The data users can refers to the definition of these variables for detailed information.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V187" name="Age_Head" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        <![CDATA[Age of the head of  household (in years)]]>
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p2 Module 1 Id and age

Madagascar:p2 module M 01 M5

Mali:p1 Age and p3 M1/4 1/CE

Morocco:p1 M11 Age (en annees)

Mexico: p4 Q24

Nicaragua: p2 Q13 C3.1 C5

Senegal: p3-4 section B 01 B9]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="16" max="99"/>
      </valrng>
      <sumStat type="vald">
        7267
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        48.371
      </sumStat>
      <sumStat type="stdev">
        14.635
      </sumStat>
      <txt>
        Age of the household. The head of the household is the person in charge of the socio-economic decisions on behalf of the other members.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V188" name="c_Sex_Head" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        <![CDATA[Sex of the head of  household]]>
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p2 Module 1 Id and sex

Madagascar: p2 module M 01 M4

Mali: p1 Sexe CE and p3 M1/4 1/CE

Morocco: p1 M11 Sexe

Mexico: p4 Q25

Nicaragua: p2 Q13 C3.1 C4.1

Senegal: p3-4 section B  01 B10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Sex of the head of  household.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          6493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          776
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V189" name="c_Educ_Head" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Education level of the head of household
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p2 Module 1 Id and D4

Madagascar:p2 module M 01 S3.a and S3.b

Mali: p3 M1/4 1/CE *4

Morocco: p1 M11 Niveau de scolarisation

Mexico: p5 Q29

Nicaragua: p2 Q13 C3.1 C7

Senegal: p3-4 section B  01 B12]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        7265
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <txt>
        Education level of the head of household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
        <catStat type="freq">
          2675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary School started
        </labl>
        <catStat type="freq">
          2353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary School finished
        </labl>
        <catStat type="freq">
          1372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary School started
        </labl>
        <catStat type="freq">
          628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Secondary School finished or University Level
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="Index_Network_Head" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Network Index of the HH head (sum of the memberships)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        4827
      </sumStat>
      <sumStat type="invd">
        2442
      </sumStat>
      <txt>
        Network Index of the HH head (sum of the memberships).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Don't belong to any association/project/group
        </labl>
        <catStat type="freq">
          2101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Belong to 1 assocation/project/group
        </labl>
        <catStat type="freq">
          2004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Belong to 2 assocation/project/group
        </labl>
        <catStat type="freq">
          446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Belong to 3 assocation/project/group
        </labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Belong to 4 assocation/project/group
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Belong to 5 assocation/project/group
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Belong to 6 association/project/group
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2442
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Sum of memberships of the head of the household for any project and association he/she is involved with. The memberships were identified in the following modules: 

Kenya: p11 Social Capital of the Household Head Q23

Madagascar: p14 module PB

Mali:p5 M1/8

Mexico: p10 Q67

Morocco: p5 M16 Appartenance (1)

Nicaragua: p4 Q17.1 and Q18.1

Senegal: p10 section F B0 01 F2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="c_Migr" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A household with migrants is a households where some of the member do not live permanently in the houshold, but who are still listed by the head as being part of it.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          5535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1734
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Kenya: p9 Migrations and Remittances Q20.1

Madagascar: Module additif X_J XM2 and XM3

Mali: p3 M1/4  Present/Absent *3

Mexico: p8 Q43

Morocco: p4 M15

Nicaragua: p3 Q15.1 and p4 Q16.1

Senegal: p8-9 section E B0]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V192" name="c_MigrLT" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with long term migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A household with long-term migrant is a households with members having left the household -but still being part of it- or living in another place more than 6 months yearly.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          5818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1451
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and When did he/she leave?

Madagascar: Module additif X_J XM3

Mali: p4 M1/5 *2

Mexico: p8 Q43 and Q50

Morocco: p4 M15 Annee de depart

Nicaragua: p3 Q15.1 c5 and c6 and p4 Q16.1 c5-c6

Senegal: p8-9 section E B0 E8]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V193" name="Nb_Migr_Tot_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Total number of migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        6540
      </sumStat>
      <sumStat type="invd">
        729
      </sumStat>
      <txt>
        A migrant is any member of the household who don't live permanently with the rest of the houshold, but who is still considered as a member.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          4806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire: 

Kenya: p9 Migrations and Remittances Q20.1 and ID

Madagascar: Module additif X_J XM2 and XM3

Mali: p4 M1/5

Morocco: p4 M15

Mexico: p8 Q43

Nicaragua: p3 Q15.1 c5 and c6 and p4 Q16.1 c5-c6

Senegal: p8-9 section E B0]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V194" name="Nb_MigrLTTot_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of long term migrants (males + females)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        7268
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <txt>
        Number of long term migrants (males + females).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone?

Madagascar: Module additif X_J XM3

Mali: p4 M1/5 *2

Mexico:p8 Q43 and Q50

Morocco: p4 M15 Annee de depart

Nicaragua: p3 Q15.1 c5 and c6 and p4 Q16.1 c5-c6

Senegal: p8-9 section E B0 E8]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V195" name="Nb_MigrLTMale_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of male long-term migrants (who are not included in the present populatio
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of male long-term migrants (who are not included in the present population of the household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the National questionnaires:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Sex.1

Madagascar: Module additif X_JXM1 and XM3

Mali: p4 M1/5 *1 and *2

Morocco: p4 M15 Annee de depart and Sexe (1)

Mexico:p8 Q43 and Q50 and Q46

Nicaragua: p3 Q15.1 (c5 and c6 and c1) and p4 Q16.1 (c5 and c6 and c1)

Senegal: p8-9 section E B0 E8 and E4]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V196" name="Nb_MigrLTFem_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of female long term-migrants (who are not included in the present populat
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <sumStat type="vald">
        7268
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <txt>
        Number of female long term-migrants (who are not included in the present population of the household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the National questionnaires:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Sex.2

Madagascar: Module additif X_JXM1 and XM3

Mali: p4 M1/5 *1 and *2

Mexico: p8 Q43 and Q50 and Q46

Morocco: p4 M15 Annee de depart and Sexe (1)

Nicaragua: p3 Q15.1 (c5 and c6 and c1) and p4 Q16.1 (c5 and c6 and c1)

Senegal: p8-9 section E B0 E8 and E4]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V197" name="Nb_MigrLTCapital_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of long-term migrants migrating to the national capital
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        7257
      </sumStat>
      <sumStat type="invd">
        12
      </sumStat>
      <txt>
        Number of long-term migrants migrating to the national capital.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire: 

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 51

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V198" name="Nb_MigrLTRestCountry_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of long-term migrants migrating somewhere in the country, other than the
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        7219
      </sumStat>
      <sumStat type="invd">
        50
      </sumStat>
      <txt>
        Number of long-term migrants migrating somewhere in the country, other than the national capital.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 51

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V199" name="Nb_MigrLTAbroad_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of long term-migrants migrating abroad
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of long term-migrants migrating abroad.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 51

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V200" name="c_MigrST" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Household with short term migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Household with short term migrants, i.e. spending less than 6 months out of the household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          6573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          696
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone?

Madagascar: Module additif X_J XM2

Mali: p4 M1/6

Morocco: p4 M15 Annee de depart

Mexico: p8 Q43 and Q50

Nicaragua: p3 Q15.1 c5 and c6 and p4 Q16.1 c5-c6

Senegal: p8-9 section E B0 E8]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V201" name="Nb_MigrST_Tot_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of short term migrants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        6540
      </sumStat>
      <sumStat type="invd">
        729
      </sumStat>
      <txt>
        Total number of short term migrants. A short term migrant is a migrant having left the household or living out of the household less than 6 months yearly.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone?

Madagascar:Module additif X_J XM2

Mali: p4 M1/6

Morocco: p4 M15 Annee de depart

Mexico: p8 Q43 and Q50

Nicaragua: p3 Q15.1 c5 and c6 and p4 Q16.1 c5-c6

Senegal:p8-9 section E B0 E8]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V202" name="Nb_MigrSTMale_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of male short-term migrants (who are not included in the present populati
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <sumStat type="vald">
        6540
      </sumStat>
      <sumStat type="invd">
        729
      </sumStat>
      <txt>
        Number of male short-term migrants (who are not included in the present population of the household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Sex.1

Madagascar: Module additif X_JXM1 and XM2

Mali: p4 M1/6 *1 and *2

Morocco: p4 M15 Annee de depart and Sexe (1)

Mexico: p8 Q43 and Q50 and Q46

Nicaragua: p3 Q15.1 (c5 and c6 and c1) and p4 Q16.1 (c5 and c6 and c1)

Senegal: p8-9 section E B0 E8 and E4]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V203" name="Nb_MigrSTFem_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of female short term-migrants (who are not included in the present popula
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        6540
      </sumStat>
      <sumStat type="invd">
        729
      </sumStat>
      <txt>
        Number of female short term-migrants (who are not included in the present population of the household).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya:p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Sex.2

Madagascar:Module additif X_JXM1 and XM2

Mali:p4 M1/6 *1 and *2

Morocco:p4 M15 Annee de depart and Sexe (1)

Mexico:p8 Q43 and Q50 and Q46

Nicaragua:p3 Q15.1 (c5 and c6 and c1) and p4 Q16.1 (c5 and c6 and c1)

Senegal: p8-9 section E B0 E8 and E4]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="Nb_MigrSTCapital_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of short-term migrants migrating to the national capital
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <sumStat type="vald">
        6536
      </sumStat>
      <sumStat type="invd">
        733
      </sumStat>
      <txt>
        Number of short-term migrants migrating to the national capital.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          733
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 5

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V205" name="Nb_MigrSTRestCountry_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of short-term migrants migrating somewhere in the country, other than the
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        6536
      </sumStat>
      <sumStat type="invd">
        733
      </sumStat>
      <txt>
        Number of short-term migrants migrating somewhere in the country, other than the national capital.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          733
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 5

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V206" name="Nb_MigrSTAbroad_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Number of short term-migrants migrating abroad
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        6525
      </sumStat>
      <sumStat type="invd">
        744
      </sumStat>
      <txt>
        Number of short term-migrants migrating abroad.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          744
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migrations and Remittances Q20.1 and How long has he/she been gone? and Where did he/she leave?

Madagascar: Module additif X_J XM3.b and .c

Mali: p4 M1/5 *2 and *3

Morocco: p4 M15 Annee de depart and Destination (5)

Mexico:p8 Q43 and Q50 and 5

Nicaragua: p3 Q15.1 (c5 and c6 and c3) and p4 Q16.1 (c5 and c6 and c3)

Senegal: p8-9 section E B0 E8 and E9]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V207" name="c_withFarm" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Household having a farm with crop production, livestock production and/or agricu
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A farm household is a household who generate an income from its own crop and/or livestock production and/or fishing, hunting and picking activities and/or on-farm processing actitivies.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          without Farm
        </labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          with Farm
        </labl>
        <catStat type="freq">
          6749
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire: 

Kenya:p12 Land Q29.1 and/or p14 Q44.1 and/or p6 if self-employed, 1.agriculture and/or p7 if self-employed, 1.agriculture

Madagascar:p4 Module FR FR11.a, .b and FR12.a, .b

Mali: p3 M1/*5.1

Morocco: p6 M21

Mexico:Module2 Q69

Nicaragua: p5 Q19.1 and p6 Q35

Senegal:p11 section G G1 and G3 and p12 G16]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V208" name="c_withAgriculture" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Household with agricultural activities, including agricultural labor (=with ag.
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A household with agricultural activities is a farm household and/or a household engaged in agricultural waged labor.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Without agricultural activities
        </labl>
        <catStat type="freq">
          319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          With agricultural activities
        </labl>
        <catStat type="freq">
          6950
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p12 Land Q29.1 and/or p14 Q44.1 and/or p6 if self-employed, 1.agriculture and/or p7 if self-employed, 1.agriculture and/or p6 if permanent and/or temporary ; employee, 1.agriculture and/or p7 if permanent and/or temporary employee, 1.agriculture

Madagascar: p4 Module M QA1

Mali:p3 M1/*5.1

Morocco: p2 M12

Mexico: Module2 Q69 and p5 Q33 and p6 Q34

Nicaragua:p3 Q14  c4 and c7 and c9

Senegal:p6-7 section D D1 and D]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V209" name="c_OffFarm" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Household with off-farm income source
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A household with off-farm income source is a household that generate off-farm incomes through agricultural wage and non agricultural wage employement, self-employemnt, migration, rentals, and/or public grants.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          5463
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p6-7 sector (other than 1.agriculture)

Madagascar:p4 Module M qA1

Mali:p3 M1/*5.1

Morocco: p2 M12

Mexico:p5 Q33 and p6 Q34

Nicaragua:p3 Q14  c4 and c7 and c9

Senegal:p6-7 section D D1 and D2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V210" name="Per_OffFarm" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        % of Off-Farm Income in global Income
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7258
      </sumStat>
      <sumStat type="invd">
        11
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        0.395
      </sumStat>
      <sumStat type="stdev">
        0.358
      </sumStat>
      <txt>
        % of Off-Farm Income in total Income of the household.
      </txt>
      <codInstr>
        The variable is the ratio of the value of off-farm income and total income of the household.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V211" name="c_AgLab" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with agricultural labor
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households which only agricultural activity is agricultural waged labor.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No ag. labor
        </labl>
        <catStat type="freq">
          5348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ag. work
        </labl>
        <catStat type="freq">
          1921
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p6 if permanent and/or temporary employee, 1.agriculture and/or p7 if permanent and/or temporary employee, 1.agriculture

Madagascar:p4 Module M QA1

Mali:p3 M1/*5.1 and p18 Revenus lies a la vente de travail

Morocco: p2 M12

Mexico: p5 Q33 and p6 Q34

Nicaragua: p3 Q14  c4 and c7 and c9

Senegal: p6-7 section D D1 and D2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V212" name="c_NonAgLabor" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with non ag labor
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households with non agricultural labor.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No non ag Labor
        </labl>
        <catStat type="freq">
          6130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          With non ag labor
        </labl>
        <catStat type="freq">
          1139
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p6 if permanent and/or temporary employee, other sector than 1.agriculture and/or p7 if permanent and/or temporary employee, other sector than 1.agriculture

Madagascar: p4 Module M QA1

Mali: p3 M1/*5.1

Morocco:p2 M12

Mexico: p5 Q33 and p6 Q34

Nicaragua: p3 Q14  c4 and c7 and c9

Senegal: p6-7 section D D1 and D2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V213" name="c_SelfEmpl" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with self-employment
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households with self-employment.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          4266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3003
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p6 if self-employed, other sector than 1.agriculture and/or p7 if self-employed, other sector than 1.agriculture

Madagascar: p4 Module M QA1

Mali:p3 M1/*5.1

Morocco: p2 M12

Mexico: p5 Q33 and p6 Q34

Nicaragua: p3 Q14  c4 and c7 and c9

Senegal: p6-7 section D D1 and D2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V214" name="c_Remitt" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with Remittances
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households with Remittances.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No remittance
        </labl>
        <catStat type="freq">
          5554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          With remttances
        </labl>
        <catStat type="freq">
          1715
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migration and remittances Q20.1 Does he/she send money/remittances home? 1.

Madagascar: Module additif X_J X_M3e

Mali: p4 M1/5 *11 and M1/6

Morocco: p4 M15 Transfert d'argent Montant annuel and p8 Q43 and Q53

Nicaragua: p5 Q15 (c8 and c9 and c11 and c12) and p6 Q16 (c8 and c9 and c11 and c12)

Senegal:p9 section E E16 and E19]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V215" name="c_PubTransf" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with public transfers
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households with public transfers
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No public transfer
        </labl>
        <catStat type="freq">
          6338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          With public transfers
        </labl>
        <catStat type="freq">
          931
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p10 Public subsidies/support Q21.1

Madagascar: non applicable

Mali:p5 M1/7

Morocco: p3 M14

Mexico:p3 Q21

Nicaragua:non applicable

Senegal: non applicable]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="c_Transf" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Households with transfers (public transfers and remittances)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Households with transfers (either public transfers or/and remittances).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No transfer
        </labl>
        <catStat type="freq">
          4803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Transfers (publ. or remittances)
        </labl>
        <catStat type="freq">
          2466
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was conceived using information located in the following modules of the core questionnaire:

Kenya: p9 Migration and remittances Q20.1 Does he/she send money/remittances home? 1. and/or p10 Public subsidies/support Q21.1

Madagascar: Module additif X_J X_M3e

Mali: p4 M1/5 *11 and M1/6

Morocco:p3 M14 and/or p4 M15

Mexico:p8 Q43 and Q53 and/or p3 Q21

Nicaragua:p5 Q15 (c8 and c9 and c11 and c12) and p6 Q16 (c8 and c9 and c11 and c12)

Senegal:p9 section E E16 and E19]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V217" name="Ha_LandUsed_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Farm area used by household for crops and breeding, including fallow land occupi
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2668.68136363636"/>
      </valrng>
      <sumStat type="vald">
        6837
      </sumStat>
      <sumStat type="invd">
        432
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2668.681
      </sumStat>
      <sumStat type="mean">
        9.785
      </sumStat>
      <sumStat type="stdev">
        50.194
      </sumStat>
      <txt>
        Farm area used by the household for crops and livestock production, including fallow land occupied by the household, whether owned by the household or not (i.e. including property in use that is rented or lent by this household from other households, but excluding property not used and given to other households) (in hectares).
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix of land characteristics located in the following modules:

Kenya: p12 Land Q29.1 Area of each Plot and p14 Q44.1 Area of each plot

Madagascar: Module FR FR11.a, b. FR12.a, .b

Mali:p12 M4/1 and M4/2 and M4/4

Morocco: p6 M21

Mexico: Q71 and Q78

Nicaragua: p5 q19.1 c2 and q24.1-q26 and q35 c2

Senegal:p11 section G G3 and p12 G16]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="Ha_LandProp_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Area in property/ownership (area cultivated or fallow land, excluding land rente
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1785.51136363636"/>
      </valrng>
      <sumStat type="vald">
        5974
      </sumStat>
      <sumStat type="invd">
        1295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1785.511
      </sumStat>
      <sumStat type="mean">
        6.808
      </sumStat>
      <sumStat type="stdev">
        38.908
      </sumStat>
      <txt>
        Area in property/ownership (area cultivated or fallow land, excluding land rented or lent to other farmers) (in Ha)
      </txt>
      <codInstr>
        <![CDATA[The variable is derived from the matrix of land characteristics located in the following modules:

Kenya: p12 Land Q29.1 Area of each Plot

Madagascar: Module FR FR11.a

Mali:p12 M4/1

Morocco:p6 M211

Mexico:Q72

Nicaragua:p5 q19.1 c2

Senegal:p11 section G G3]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="Ha_LandIrrig_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Irrigated area (in Ha)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="100"/>
      </valrng>
      <sumStat type="vald">
        6839
      </sumStat>
      <sumStat type="invd">
        430
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        100
      </sumStat>
      <sumStat type="mean">
        0.74
      </sumStat>
      <sumStat type="stdev">
        3.286
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the matrix of land characteristics located in the following modules:

Kenya:p12 Land Q29.1 Area of each Plot and type: irrigated land and p14 Q44.1 Area of each plot and type: irrigated land

Madagascar: Module R q R1 and R11

Mali:p12 M4/1 (3)

Morocco: p14 M311 Bour/irrigue (1)

Mexico: Q124 and Q125

Nicaragua:p19.1 c2 qnd c5.1 and p6 q24.1-q26 and q35 c2-c5.1

Senegal: p11 section G G3 and G4.1]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="c_Irrigation" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to irrigation
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          4948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          2321
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable is derived from the matrix of land characteristics located in the following modules:

Kenya: p12 Land Q29.1 type: irrigated land and p14 Q44.1 type: irrigated land

Madagascar: Module R q R1 and R11

Mali: p12 M4/1 (3)

Morocco: p14 M311 Bour/irrigue (1)

Mexico: Q125

Nicaragua: p19.1 c2 qnd c5.1 and p6 q24.1-q26 and q35 c2-c5.1

Senegal: p11 section G G3 and G4.1]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="c_IrrigPump" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to an irrigation pump
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p17 Agricultural equipment Q66 Type 5.irrigation pump

Madagascar: Module additif X_E qX_E1

Mali:p6  M2/1

Morocco: p11 M23 Motopompe

Mexico: Q107 c

Nicaragua:p8 q60 c11.19

Senegal:p16 section I I1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        6180
      </sumStat>
      <sumStat type="invd">
        1089
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          6026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1089
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="c_MicroIrrig" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to micro-irrigation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p17 Agricultural equipment Q66 Type 4.micro-irrigation equipment

Madagascar: Module additif X_E qX_E1;Mali:p6  M2/1

Morocco:p11M23 Goutteurs

Mexico:Q107 m

Nicaragua: p8 q60 c11

Senegal: p16 section I I1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        1461
      </sumStat>
      <sumStat type="invd">
        5808
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          1460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5808
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="c_LevelMeca" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to draft force (ownership, rental or service)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        6090
      </sumStat>
      <sumStat type="invd">
        1179
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Manual
        </labl>
        <catStat type="freq">
          3346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Low mechanization (animal plough)
        </labl>
        <catStat type="freq">
          1680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Low moto-mechanization (tiller)
        </labl>
        <catStat type="freq">
          735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          High moto-mechanization (tractor)
        </labl>
        <catStat type="freq">
          329
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1179
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable was computed using c_Tractor, c_AnimPlough, and c_Tiller, and as the following:

1/ if the household had access to animal draft and equipment for animal plough (in property or not), it was considered that its level of moto-mechanization was low mechanization

2/ if the household had access to tiller (in property or not), it was considered that its level of moto-mechanization was  low moto-mechanization

3/ if the household had access to tractor (in property or not), it was considered that its level of moto-mechanization was high moto-mechanization

4/ if the household did not have access to any of the equipement for ploughing and preparing its plot, it was considered that the houshold was only using manual force.

Data on equipment can be found in the following modules of the core questionaire:


Kenya: p17 Agricultural equipment Q66 and type

Madagascar:Module additif X_E qX_E1

Mali:p6  M2/1

Morocco:p11 M23;Mexico:Q107 and Q128

Nicaragua:p8 q60 c11

Senegal:p16 section I I1]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="c_Tractor" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to a tractor
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p17 Agricultural equipment Q66 and type 7.tractor

Madagascar:Module additif X_E qX_E1.01

Mali:p6  M2/1

Morocco:p11 M23

Mexico:Q107 a

Nicaragua:p8 q60 c11.10

Senegal:p16 section I I1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        6179
      </sumStat>
      <sumStat type="invd">
        1090
      </sumStat>
      <txt>
        Access to tractor (in property or not)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          5851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          328
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1090
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="c_AnimPlough" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to animal plough
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p17 Agricultural equipment Q66 and type 1.animal traction

Madagascar: Module additif X_E qX_E1.08

Mali:p6  M2/1

Morocco:p11 M23

Mexico:Q107

Nicaragua:p8 q60 c11.5

Senegal:p16 section I I1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        6090
      </sumStat>
      <sumStat type="invd">
        1179
      </sumStat>
      <txt>
        Access to animal plough (in property or not)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          3676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          2414
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1179
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="c_Tiller" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to a tiller
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya: p17 Agricultural equipment Q66 and type 2.motorised traction

Madagascar:Module additif X_E qX_E1.02

Mali:p6  M2/1

Morocco:p11 M23

Mexico:Q107

Nicaragua:p8 q60 c11.12

Senegal:p16 section I I1]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        4658
      </sumStat>
      <sumStat type="invd">
        2611
      </sumStat>
      <txt>
        Access to tiller (in property or not)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          3891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          767
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2611
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="c_TechPackage" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Adoption of modern technical package (improved seeds, fertilizers, etc.) for the
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        6790
      </sumStat>
      <sumStat type="invd">
        479
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Traditional practices
        </labl>
        <catStat type="freq">
          2334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Technical package
        </labl>
        <catStat type="freq">
          4456
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Kenya: p19 Module "Main season crop". Based on the frequency of the crops produced maize was picked as the main food crop in Kenya. Data on the type of maize seed lanted was not collected (as you can see from the questionnaire). So, only inorganic fertilizer use on maize was considered. If a household applied inorganic fertilizer on maize, the variable assumed the value of 1, and 0 if no fertilizer was applied on maize

Madagascar: p5 Module R R13 R24 R40. Derivation to be specified by the national team.

Mali:P14 M4/7. The derivation corresponds to the following method: Mise en valeur du foncier pour 2006/2007 : Hivernage 2006 et Contre saison 2006/07 (dernière saison de maraîchage) y compris champs individuels Fumure organique 0/1 ; Engrais 0/1 and p15 M4/8 Approvisionnement en intrants pour l'année 2006/07 (Hivernage 2006 et Contre saison 2007 Quantité et prix des intrants détaillés and p10 M3/7 Production de fumure organique en 2006/07 : précisez le type de charrette : à âne ou bovine Production totale de fumure organique en 2006/07 (en nombre de charretées) : 0= Ni engrais ni FO, 1= FO + engrais or FO ou engrais

Morocco: information location and derivation to be specified by the national team

Mexico: Q127 semilla mejorada. Derivation to be specified by the national team.

Nicaragua: p9 Modulo III Q61 and Q68. The variable was coded as the folowwing: 0=organic corresponds to traditional practices; and 1=conventional corresponds to the technical package.

Senegal: Senegal:p21 Section K variables  K15 - 16 - 17 1=Oui Si K15 > 0 ou K16 > 0 ou K17 > 0 0=Non  Si K15 ou K16 ou K17 nulle]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="c_Manure" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Production and use of manure
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        4398
      </sumStat>
      <sumStat type="invd">
        2871
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No Manure
        </labl>
        <catStat type="freq">
          1932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Manure
        </labl>
        <catStat type="freq">
          2466
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2871
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Kenya: Modules "Assets and Agricultural Production Factors" and "Other Land (Not Listed as Property)". whether a household produced manure from the Module "Livestock Products". The two information sets are combined, so that if a household either used and/or produced manure, the variable c_Manure assumes the value of 1, and 0 if manure is neither used nor produced

Madagascar:Module INTRANTS (IT) manure=1 si it_lig=="05" et/ou it_lig=="06" (diff. de 0)

Mali:p16 M4/8

Morocco: No info in the questionnaire

Mexico:No info in the questionnaire

Nicaragua: no info in the questionnaire

Senegal:p11 section G G10.1 and .3 0=Non Si G10 = 2 ou G10 = 4 ou G10 = 51=Oui  Si G10 =1 ou G10=3]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V229" name="Q_Rice_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Annual rice production, in kg
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop quantity produced

Madagascar:p5 Module R R23;Mali:p14 M4/7

Mali: p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129 and Q159

Nicaragua:p9 q61 c1 and c5

Senegal:p20 section K K1 and K4]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="750000"/>
      </valrng>
      <sumStat type="vald">
        6811
      </sumStat>
      <sumStat type="invd">
        458
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        750000
      </sumStat>
      <sumStat type="mean">
        1412.64
      </sumStat>
      <sumStat type="stdev">
        11263.671
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="Q_Maize_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Annual maize production, in kg
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop quantity produced

Madagascar:p5 Module R R23;Mali:p14 M4/7

Mali: p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129 and Q159

Nicaragua:p9 q61 c1 and c5

Senegal:p20 section K K1 and K4]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="940000"/>
      </valrng>
      <sumStat type="vald">
        6811
      </sumStat>
      <sumStat type="invd">
        458
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        940000
      </sumStat>
      <sumStat type="mean">
        1939.221
      </sumStat>
      <sumStat type="stdev">
        14427.529
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V231" name="Q_Wheat_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Annual wheat production, in kg
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop quantity produced

Madagascar:p5 Module R R23;Mali:p14 M4/7

Mali: p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129 and Q159

Nicaragua:p9 q61 c1 and c5

Senegal:p20 section K K1 and K4]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="105000"/>
      </valrng>
      <sumStat type="vald">
        6811
      </sumStat>
      <sumStat type="invd">
        458
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        105000
      </sumStat>
      <sumStat type="mean">
        257.434
      </sumStat>
      <sumStat type="stdev">
        2810.366
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V232" name="Nb_Draftanimals_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of draft oxen or horses
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="28"/>
      </valrng>
      <sumStat type="vald">
        6006
      </sumStat>
      <sumStat type="invd">
        1263
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        28
      </sumStat>
      <sumStat type="mean">
        1.13
      </sumStat>
      <sumStat type="stdev">
        2.053
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Senegal:p24 section M M3M252

Mexico:Q213

Nicaragua:p15 q76 c1.1 c2]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V233" name="Nb_CattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Total nb of cattle heads
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="521"/>
      </valrng>
      <sumStat type="vald">
        6305
      </sumStat>
      <sumStat type="invd">
        964
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        521
      </sumStat>
      <sumStat type="mean">
        12.53
      </sumStat>
      <sumStat type="stdev">
        26.489
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c3

Senegal:p24 section M M3M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V234" name="Nb_CattleAdult_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of adult cattle heads
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="276"/>
      </valrng>
      <sumStat type="vald">
        5916
      </sumStat>
      <sumStat type="invd">
        1353
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        276
      </sumStat>
      <sumStat type="mean">
        7.155
      </sumStat>
      <sumStat type="stdev">
        14.26
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c4

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V235" name="Nb_SmallRum_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of small ruminants
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="240"/>
      </valrng>
      <sumStat type="vald">
        6735
      </sumStat>
      <sumStat type="invd">
        534
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        240
      </sumStat>
      <sumStat type="mean">
        2.992
      </sumStat>
      <sumStat type="stdev">
        10.085
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V236" name="Nb_DraughtOx_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        nb of draft oxen
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        25
      </sumStat>
      <sumStat type="mean">
        0.811
      </sumStat>
      <sumStat type="stdev">
        1.794
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V237" name="Nb_Horse_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        nb of horses
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        25
      </sumStat>
      <sumStat type="mean">
        0.284
      </sumStat>
      <sumStat type="stdev">
        0.912
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V238" name="Nb_Donk_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        nb of donkeys
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="15"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          859
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V239" name="Nb_Bulls4_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        nb of young bulls (over 4)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="90"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        0.426
      </sumStat>
      <sumStat type="stdev">
        2.35
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V240" name="Nb_Cows4_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        nb of cows (over 4)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="270"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        270
      </sumStat>
      <sumStat type="mean">
        2.015
      </sumStat>
      <sumStat type="stdev">
        7.438
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V241" name="Nb_Youngs2and4_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of young cattle heads (between 2 and 4)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="500"/>
      </valrng>
      <sumStat type="vald">
        5800
      </sumStat>
      <sumStat type="invd">
        1469
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        500
      </sumStat>
      <sumStat type="mean">
        1.008
      </sumStat>
      <sumStat type="stdev">
        8.97
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V242" name="Nb_Porks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of porks
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="40"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        40
      </sumStat>
      <sumStat type="mean">
        0.475
      </sumStat>
      <sumStat type="stdev">
        1.56
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V243" name="Nb_Poultry_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of poultry
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="2000"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2000
      </sumStat>
      <sumStat type="mean">
        4.803
      </sumStat>
      <sumStat type="stdev">
        30.465
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix which is located in the following modules of the core questionnaire:

Kenya:p25 Livestock Q79 Stock (No of animals)

Madagascar:p9 Module EL ELE_LIG and ELE_Ba and Bb

Mali:p9 M3/1

Morocco:p12 M251 and p13

Mexico:Q213

Nicaragua:p15 q76 c1.1 c5

Senegal:p24 section M M3 M252]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V244" name="Nb_UTB_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of Tropical Livestock Unit
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="378.14"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        378.14
      </sumStat>
      <sumStat type="mean">
        3.965
      </sumStat>
      <sumStat type="stdev">
        13.777
      </sumStat>
      <codInstr>
        <![CDATA[Variable erivated from the number of livestock heads and the conversion rate in UTB (units of tropical livestock).
For the details of the convertion rate into UTB, data users can refer to the methodological annex of the synthesis report.]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V245" name="Nb_InCattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of cattle entered in the herd
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 In (number of animal added the last one year)

Madagascar:p9 Module EL ELE_LIG and ELE_L1 and ELE_D

Mali:p9 M3/5

Morocco:p13 M253

Mexico:Q215

Nicaragua:p15 q76 c1 and c3-c4-c5

Senegal:p24 section M M4]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="86"/>
      </valrng>
      <sumStat type="vald">
        4567
      </sumStat>
      <sumStat type="invd">
        2702
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        86
      </sumStat>
      <sumStat type="mean">
        1.715
      </sumStat>
      <sumStat type="stdev">
        5.116
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V246" name="Nb_Purch_CattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of cattle heads (all ages) purchased
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 In Purchased

Madagascar:p9 Module EL ELE_LIG and ELE_L1

Mali:p9 M3/5

Morocco:p13 M253

Mexico:Q215

Nicaragua:p15 q76 c1 and c3

Senegal:p24 section M M411]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="73"/>
      </valrng>
      <sumStat type="vald">
        3760
      </sumStat>
      <sumStat type="invd">
        3509
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        73
      </sumStat>
      <sumStat type="mean">
        0.831
      </sumStat>
      <sumStat type="stdev">
        3.387
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V247" name="Nb_OutCattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of cattle out of the herd
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 Out (out in the last one year)

Madagascar:p9 Module EL ELE_LIG and ELE_I1 and ELE_E and ELE_G

Mali:p10 M3/6

Morocco:p13 M253

Mexico:Q216

Nicaragua:p15 q76 c1 and c7-c8-c9

Senegal:p24 section M M6]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="429"/>
      </valrng>
      <sumStat type="vald">
        4574
      </sumStat>
      <sumStat type="invd">
        2695
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        429
      </sumStat>
      <sumStat type="mean">
        6.196
      </sumStat>
      <sumStat type="stdev">
        15.347
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="Nb_Sales_CattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Nb of cattle heads (all ages) sold
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 Out Sold

Madagascar:p9 Module EL ELE_LIG and ELE_I1

Mali:p10 M3/6

Morocco:p13 M253

Mexico:Q216

Nicaragua:p15 q76 c1 and c7

Senegal:p24 section M M61]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="140"/>
      </valrng>
      <sumStat type="vald">
        3768
      </sumStat>
      <sumStat type="invd">
        3501
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        140
      </sumStat>
      <sumStat type="mean">
        0.872
      </sumStat>
      <sumStat type="stdev">
        4.823
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V249" name="vP_Purch02_CattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the purchases of cattle (in PPP)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 Total value fo the sales

Madagascar:p9 Module EL ELE_LIG and ELE_L2

Mali:p9 M3/5

Morocco:p13 M253

Mexico:No info in the questionnaire

Nicaragua:p15 q76 c1 and c6

Senegal:p24 section M M5]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="51194.0298507463"/>
      </valrng>
      <sumStat type="vald">
        2920
      </sumStat>
      <sumStat type="invd">
        4349
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        51194.03
      </sumStat>
      <sumStat type="mean">
        428.669
      </sumStat>
      <sumStat type="stdev">
        2031.882
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V250" name="vP_Purch02_OthAnim_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the purchases of oth animals than cattle (in PPP)
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 Total value fo the sales

Madagascar:p9 Module EL ELE_LIG and ELE_L2

Mali:p9 M3/5

Morocco:p13 M253

Mexico:No info in the questionnaire

Nicaragua:p15 q76 c1 and c6

Senegal:p24 section M M5]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850.74626865672"/>
      </valrng>
      <sumStat type="vald">
        3889
      </sumStat>
      <sumStat type="invd">
        3380
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850.746
      </sumStat>
      <sumStat type="mean">
        100.186
      </sumStat>
      <sumStat type="stdev">
        330.225
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V251" name="vP_Purch02_TotLiveAnim_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the purchases of all live animals
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p25 Livestock Q79 Total value fo the sales

Madagascar:p9 Module EL ELE_LIG and ELE_L2

Mali:p9 M3/5

Morocco:p13 M253

Mexico:No info in the questionnaire

Nicaragua:p15 q76 c1 and c6

Senegal:p24 section M M5]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="53305.9701492537"/>
      </valrng>
      <sumStat type="vald">
        2695
      </sumStat>
      <sumStat type="invd">
        4574
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53305.97
      </sumStat>
      <sumStat type="mean">
        532.41
      </sumStat>
      <sumStat type="stdev">
        2228.398
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V252" name="vP_Herd_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Estimation of the value of the herd (valorization with the mean price per animal
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3858555.52238806"/>
      </valrng>
      <sumStat type="vald">
        6410
      </sumStat>
      <sumStat type="invd">
        859
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3858555.522
      </sumStat>
      <sumStat type="mean">
        18174.025
      </sumStat>
      <sumStat type="stdev">
        112255.92
      </sumStat>
      <codInstr>
        The variable is derived from the Livestock matrix. All live animal heads were converted into Tropical Livestock Units and were imputed of a value corresponding to the mean price of sale per animal type for each animal type
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V253" name="c_FoodSecurEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of food security
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p39 Evolution of food security Q93 Quality, variety and diversity of meals

Madagascar:Module additif X_SA q X_ALI1

Mali:no info in the questionnaire

Morocco:no info in the questionnaire

Mexico:No info in the questionnaire

Nicaragua:p23 Q98 and Q99

Senegal: see with the national team]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        5854
      </sumStat>
      <sumStat type="invd">
        1415
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          2014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          2249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          1358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1415
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="c_FoodEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of quality of foods
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Food

Madagascar:Module additif X_TJ qX_TJ25a

Mali:p22 Q1.a

Morocco:p26 M54 Qualite de la nourriture

Mexico:Q258

Nicaragua:p23 q117

Senegal:p38 section S S20]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        5201
      </sumStat>
      <sumStat type="invd">
        2068
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          1068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          1223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          2507
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2068
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V255" name="c_FoodSecurCover" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Does the household manage to cover his food expenditures?
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:No info in the questionnaire

Madagascar:Module additif X_SA q X_SA1

Mali:p20 Si production, est-ce qu'elle couvre les besoins and p19 Votre production cerealiere couvre t elle les besoins annuels?

Morocco:no info in the questionnaire

Mexico:Q257

Nicaragua:p22 Q97 c4

Senegal:p33 section Q Q4]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        3520
      </sumStat>
      <sumStat type="invd">
        3749
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Same
        </labl>
        <catStat type="freq">
          1675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          897
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3749
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V256" name="c_HealthEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of quality of health
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Health

Madagascar:Module additif X_TJ qX_TJ25e

Mali:p22 Q3.a

Morocco:p26 M54 Sante

Mexico:Q272c

Nicaragua:p23 q119

Senegal:p38 section S S22]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        5742
      </sumStat>
      <sumStat type="invd">
        1527
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          2459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          1953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          1143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1527
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V257" name="c_SchoolExp" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Does the household manage to cover his schooling expenditures?
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p39 Q98

Madagascar: no info in the questionnaire

Mali:p20 Arrivez vous a faire face a ces depenses

Morocco:no info in the questionnaire

Mexico:no info in the questionnaire

Nicaragua:p23 q120

Senegal:p34 section R R6]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        3331
      </sumStat>
      <sumStat type="invd">
        3938
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          always
        </labl>
        <catStat type="freq">
          750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          often
        </labl>
        <catStat type="freq">
          1167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sometimes
        </labl>
        <catStat type="freq">
          1210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Barely
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Dont know
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3938
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V258" name="c_EducEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of quality of education
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Education of children

Madagascar:Module additif X_TJ qX_TJ25f

Mali:p22  Q4.a

Morocco:p26 M54 Education des enfants

Mexico:Q272d

Nicaragua:p23 Q120

Senegal:p38 section S S23]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        5616
      </sumStat>
      <sumStat type="invd">
        1653
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          3321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          1396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1653
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V259" name="c_Transp" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Type of transportation for farm products
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:No info in the questionnaire

Madagascar:Module additif X_C18 0: aucun moyen de transport 1 si transport attelé : x_c18=04 2 si transport motorisé: c18=05/06/07/09/10

Mali:M2/1 Matériels et équipements agricoles fonctionnels page 6 Charrette asine ou bovine Tracteur ou motoculteur (avec remorque) M3 : Cheptel : inventaire, production et évolution p9 M3/1 Bœufs labour and M3/2. Autres animaux Anes Si charrette + animaux de traction = 1, Si tracteur ou motoculteur = 2, Si pas charrette OU pas animaux de trait = 0

Morocco:no info in the questionnaire

Mexico: see the national data set

Nicaragua:no info in the questionnaire

Senegal: p6 Section I variable I1 c_Transpo_hh ne renvoie pas directement à une variable dans le questionnaire. Pour contourner le problème la variable I1 a été « travaillée ». Ainsi, à partir du recensement du type de matériels, ceux pouvant servir de moyen de transport aux produits agricole ont été identifiés et codifiés.(0 = Rien ; 1= Manuel ; 2=Animaux ; 3=Motorisation légère ; 4=Tracteur)]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        3478
      </sumStat>
      <sumStat type="invd">
        3791
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No Transport Facilities
        </labl>
        <catStat type="freq">
          1242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Animal Draft
        </labl>
        <catStat type="freq">
          1444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Motorized
        </labl>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3791
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="c_AccessTransp" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Access to transport
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p39 Evolution of food security Q99

Madagascar:Module additif X_C18

Mali:p20 Acces au moyens de transport

Morocco:p26 M54 Acces au transport

Mexico:Q265

Nicaragua:p23 q102 c1

Senegal:p34 section R R7]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        7170
      </sumStat>
      <sumStat type="invd">
        99
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          easy the whole year
        </labl>
        <catStat type="freq">
          3063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          easy only some months of the year
        </labl>
        <catStat type="freq">
          1705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          difficult
        </labl>
        <catStat type="freq">
          2235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V261" name="c_AccommEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of the quality of accommodation
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Housing

Madagascar:Module additif X_TJ qX_TJ25c

Mali:p22 Q2.a

Morocco:p26 M54 Logement

Mexico:Q272b

Nicaragua:p25 q118

Senegal:p38 section S S21]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        5781
      </sumStat>
      <sumStat type="invd">
        1488
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          2907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          same
        </labl>
        <catStat type="freq">
          1783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          dont't know
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1488
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V262" name="c_WaterEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of the quality of access to water
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Water

Madagascar:Module additif X_TJ qX_TJ25g

Mali:p22 Q5.a

Morocco:p26 M54 Disponibilite de l'eau potable

Mexico:Q272e

Nicaragua:p25 q121

Senegal:p38 section S S24]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        5733
      </sumStat>
      <sumStat type="invd">
        1536
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          2646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          2142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1536
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V263" name="c_IncomeEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of incomes
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions Income

Madagascar:Module additif X_TJ qX_TJ25d

Mali:p22 Q6.a

Morocco:p26 M54 Revenu

Mexico:Q272f

Nicaragua:p25 q122

Senegal:p38 section S S25]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        6584
      </sumStat>
      <sumStat type="invd">
        685
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          2221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          2166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          1998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          685
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V264" name="c_LivingCondEvol" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Evolution of livelihood conditions
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p24 Q137 Evolution of the living conditions

Madagascar:p14 module CE QCE7

Mali:p23 Q7.a

Morocco:p26 M54

Mexico:Q272a

Nicaragua:p25 q116

Senegal:p38 section S S19]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        6532
      </sumStat>
      <sumStat type="invd">
        737
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          better
        </labl>
        <catStat type="freq">
          3272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          the same
        </labl>
        <catStat type="freq">
          1508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          worse
        </labl>
        <catStat type="freq">
          1129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          623
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          737
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V265" name="vP_Rev01_Crops_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from crops of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-15625" max="594653.731343284"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -15625
      </sumStat>
      <sumStat type="max">
        594653.731
      </sumStat>
      <sumStat type="mean">
        3254.199
      </sumStat>
      <sumStat type="stdev">
        14287.573
      </sumStat>
      <codInstr>
        The variable is derived from the crop production matrix and corresponds to the sum of all values of crop production (including sales and self-consumption of season and permament crops and plantations) minus the costs related to crop production.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V266" name="vP_Rev02_Livestocks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from Livestock of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-15729.1666666667" max="165645.625"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -15729.167
      </sumStat>
      <sumStat type="max">
        165645.625
      </sumStat>
      <sumStat type="mean">
        946.47
      </sumStat>
      <sumStat type="stdev">
        4593.122
      </sumStat>
      <codInstr>
        The variable is derived from the livestock production matix and correponds to the sum of all sales of live animals and livestock products minus the costs of livestock production
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V267" name="vP_Rev02_Livestocks_SalesPurchCo" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from Livestocks (live animals+livestock products) calculated as (Sales+Se
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-26406.8656716418" max="108776.71641791"/>
      </valrng>
      <sumStat type="vald">
        1971
      </sumStat>
      <sumStat type="invd">
        5298
      </sumStat>
      <sumStat type="min">
        -26406.866
      </sumStat>
      <sumStat type="max">
        108776.716
      </sumStat>
      <sumStat type="mean">
        248.961
      </sumStat>
      <sumStat type="stdev">
        4921.889
      </sumStat>
      <codInstr>
        The variable is derived from the livestock production matix and correponds to the sum of all sales of live animals and livestock products minusthe purchase of live animals and minus the costs of livestock production
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V268" name="vP_Rev03_HFG_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from hunting, fishing, etc. of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p29 Fishing, hunting and picking (fruits, medicinal plants, mushrooms, etc.) Income per month of those activities

Madagascar: no info in the questionnaire

Mali:p17 M4/11

Morocco:p18 M34

Mexico:Q242

Nicaragua:derived from fishing, hunting and gathering activities

Senegal:p28 section O O3]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-2402.98507462687" max="11925.3731343284"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -2402.985
      </sumStat>
      <sumStat type="max">
        11925.373
      </sumStat>
      <sumStat type="mean">
        47.041
      </sumStat>
      <sumStat type="stdev">
        380.274
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V269" name="vP_Rev04_Transfo_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from on-farm processing of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p27 Processing of agricultural products Q83.1 Quantity produced per month, price per unit and monthly costs

Madagascar:p7 module C qC30

Mali:p17 M4/11

Morocco:p18 M33

Mexico:Q235 and Q 236

Nicaragua:p19 q87.1 c2

Senegal:p27 section N N6 and N7]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-893.582089552239" max="106761.940298507"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -893.582
      </sumStat>
      <sumStat type="max">
        106761.94
      </sumStat>
      <sumStat type="mean">
        233.881
      </sumStat>
      <sumStat type="stdev">
        2698.938
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V270" name="vP_RevOnFarm_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        On-Farm Income of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-12421.8854166667" max="606455.820895522"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -12421.885
      </sumStat>
      <sumStat type="max">
        606455.821
      </sumStat>
      <sumStat type="mean">
        4481.591
      </sumStat>
      <sumStat type="stdev">
        16442.546
      </sumStat>
      <codInstr>
        This variable is derived from crops, livestock, fishing, hunting and picking activities, and processing of agricultural products
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V271" name="vP_Rev05_AgWage_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Agricultural wages of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p6 if permanent and/or temporary employee, 1.agriculture and/or p7 if permanent and/or temporary employee, 1.agriculture

Madagascar:p3 Module M (A) A1 AS4 and AS3

Mali:p18 Revenus lies a la vente de travail

Mexico:Q35 and Q40

Morocco:p2 M12

Nicaragua:p3 q14 c6 and c11

Senegal:p6-7 section D D1xD2xD9 and D12xD13XD15xD18xD20xD23]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="52931.5068493151"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        52931.507
      </sumStat>
      <sumStat type="mean">
        405.253
      </sumStat>
      <sumStat type="stdev">
        1425.802
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V272" name="vP_Rev06_NAgWage_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Non agricultural wages of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p6 if permanent and/or temporary employee, other sector than 1.agriculture and/or p7 if permanent and/or temporary employee, other sector than 1.agriculture

Madagascar:p3 Module M (A) A1 AS4 and AS3

Mali:p18 Revenus lies a l'execution d'autres activites Revenus en 2006/07 FCFA

Mexico: Q35 and Q40

Morocco:p2 M12

Nicaragua:p3 q14 c6 and c11

Senegal:p6-7 section D D1xD2xD9 and D12xD13XD15xD18xD20xD23]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="87500"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        87500
      </sumStat>
      <sumStat type="mean">
        644.111
      </sumStat>
      <sumStat type="stdev">
        2495.14
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V273" name="vP_Rev07_SelfEmpl_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Income from Self-employment of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p6 if selfemployed, other sector than 1.agriculture and/or p7 if self-employed, other sector than 1.agriculture

Madagascar:p3 Module M (A) A1 AS4 and AS3

Mali:p18 Revenus lies a l'execution d'autres activites Revenus en 2006/07 FCFA

Mexico:Q35 and Q40

Morocco:p2 M12

Nicaragua:p3 q14 c6 and c11

Senegal:p6-7 section D D1xD2xD9 and D12xD13XD15xD18xD20xD23]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-12352.9411764706" max="112941.176470588"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -12352.941
      </sumStat>
      <sumStat type="max">
        112941.176
      </sumStat>
      <sumStat type="mean">
        998.967
      </sumStat>
      <sumStat type="stdev">
        3630.286
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V274" name="vP_Rev08_Transf_Pub_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Public Transfers of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p10 Public subsidies/support Q21.1 If money, how much?

Madagascar: non applicable

Mali: non applicable

Morocco:p3 M14 Transferts Publics

Mexico:derived from p3 Q21

Nicaragua:non applicable

Senegal:non applicable]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10574.301369863"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10574.301
      </sumStat>
      <sumStat type="mean">
        72.996
      </sumStat>
      <sumStat type="stdev">
        454.687
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V275" name="vP_Rev09_Remit_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Remittances of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p9 Migration and remittances Q20.1 Does he/she send money/remittances home? 1. and Frequency and How much?

Madagascar:Module additif X_J X_M3f; p4 M1/5 Montant Total envoye en 2007 en FCFA *10 and M1/6 est-elle revenu avec des FCFA et si oui, combien environ

Morocco:p4 M15 Transfert d'argent Montant annuel

Mexico:p8 Q43 and Q55

Nicaragua:p15 q15.1 c9 and c12 and p4 q16 c9 and c12

Senegal:p9 section E E16 and E19]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="37813.0217028381"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        37813.022
      </sumStat>
      <sumStat type="mean">
        282.465
      </sumStat>
      <sumStat type="stdev">
        1397.108
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V276" name="vP_Rev10_Rent_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Rents of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p17 Other property than principal residency Q71.1 Amount of the rent

Madagascar: no info in the questionnaire

Mali: no info in the questionnaire

Morocco:p9 M213 and p12 M24

Mexico:Q117

Nicaragua: no info in the questionnaire

Senegal: no info in the questinnaire]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="139583.333333333"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        139583.333
      </sumStat>
      <sumStat type="mean">
        171.801
      </sumStat>
      <sumStat type="stdev">
        2787.672
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V277" name="vP_RevOffFarm_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Off-Farm Income of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-11580.8823529412" max="139583.333333333"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -11580.882
      </sumStat>
      <sumStat type="max">
        139583.333
      </sumStat>
      <sumStat type="mean">
        2575.593
      </sumStat>
      <sumStat type="stdev">
        5743.799
      </sumStat>
      <codInstr>
        The variable corresponds to the sum of all off-farm incomes sources
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V278" name="vP_RevG_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Global Income of the HH in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="6.96055684454756" max="607306.567164179"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        6.961
      </sumStat>
      <sumStat type="max">
        607306.567
      </sumStat>
      <sumStat type="mean">
        7057.184
      </sumStat>
      <sumStat type="stdev">
        17610.052
      </sumStat>
      <codInstr>
        The variable corresponds to the sum of all incomes sources
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V279" name="Kcal_RevG_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Global annual income in KCal per HH
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="45405.4054054054" max="3082016221.2766"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        45405.405
      </sumStat>
      <sumStat type="max">
        3082016221.277
      </sumStat>
      <sumStat type="mean">
        46515847.318
      </sumStat>
      <sumStat type="stdev">
        103333846.034
      </sumStat>
      <codInstr>
        This variable is derived from all income sources converted in kilo-calories (see methodological annex in the synthesis report)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V280" name="Kcal_RevG_EqA_Day" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Global annual income in KCal per eqA per day
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="10.6141954755728" max="1773924.38199413"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        10.614
      </sumStat>
      <sumStat type="max">
        1773924.382
      </sumStat>
      <sumStat type="mean">
        26610.75
      </sumStat>
      <sumStat type="stdev">
        64401.47
      </sumStat>
      <codInstr>
        This variable is derived from all income sources converted in kilo-calories and adult equivalents (see methodological annex)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V281" name="c_Contract" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Does the household sell products under contract?
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p31 Q87.1 and/or p34 Q89.1

Madagascar:Module additif X_C q X_C19, X_PE1 and X_PE2

Mali: p24

Morocco:P14 M311 Contrat (7)

Mexico:Q134.1 or Q164.1 or Q194 or Q219

Nicaragua:p10 q62 and p12 q68 and p17 q79 and p20 q88

Senegal:p20 section K K13 and p22 section L L12 and p24 section M M10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          without Contract
        </labl>
        <catStat type="freq">
          6752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          with Contract
        </labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V282" name="vP_Sold01_Rice_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of rice in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p6 module DC qDC06 and DC24

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="113509.280742459"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        113509.281
      </sumStat>
      <sumStat type="mean">
        403.354
      </sumStat>
      <sumStat type="stdev">
        2709.958
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V283" name="vP_Sold01_Maize_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of maize in in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="346537.313432836"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        346537.313
      </sumStat>
      <sumStat type="mean">
        490.027
      </sumStat>
      <sumStat type="stdev">
        4955.1
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V284" name="vP_Sold01_Wheat_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        <![CDATA[S\ales of wheat  in PPP per year]]>
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="43875"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        43875
      </sumStat>
      <sumStat type="mean">
        40.81
      </sumStat>
      <sumStat type="stdev">
        766.026
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V285" name="vP_Sold01_OthCereal_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of other cereals in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  QC6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="258044.776119403"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        258044.776
      </sumStat>
      <sumStat type="mean">
        83.804
      </sumStat>
      <sumStat type="stdev">
        3111.642
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V286" name="vP_Sold01_Cassava_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of cassava in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="39713.8437741686"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        39713.844
      </sumStat>
      <sumStat type="mean">
        82.582
      </sumStat>
      <sumStat type="stdev">
        993.601
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V287" name="vP_Sold01_OthStaple_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of other staples (excluding potato) in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q16

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="60074.6268656716"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60074.627
      </sumStat>
      <sumStat type="mean">
        151.669
      </sumStat>
      <sumStat type="stdev">
        1412.13
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V288" name="vP_Sold01_Cotton_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of cotton in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161

Nicaragua:p12 q68.1 c1 and c10 and c11

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7153.905645785"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7153.906
      </sumStat>
      <sumStat type="mean">
        26.159
      </sumStat>
      <sumStat type="stdev">
        253.984
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V289" name="vP_Sold01_Groundnut_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of groundnut in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="15606.9218870843"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15606.922
      </sumStat>
      <sumStat type="mean">
        76.466
      </sumStat>
      <sumStat type="stdev">
        401.626
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V290" name="vP_Sold01_Sesame_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of sesame in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:non applicable

Mexico:Q131 and Q161

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K9 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="432835.820895522"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        432835.821
      </sumStat>
      <sumStat type="mean">
        78.488
      </sumStat>
      <sumStat type="stdev">
        5191.095
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="vP_Sold01_Coffee_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of cofffee in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p21 Permanent crop and Plantations Quantity sold x price

Madagascar:p7 module C qc6

Mali:NA

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q191

Nicaragua:p12 q68.1 c1 and c10 and c11

Senegal:NA]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="107462.686567164"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        107462.687
      </sumStat>
      <sumStat type="mean">
        219.146
      </sumStat>
      <sumStat type="stdev">
        3077.262
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V292" name="vP_Sold01_SugarC_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of sugar canne in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 Main season crop Quantity sold x price

Madagascar:p7 module C qc6

Mali:NA

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:NA]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="26865.671641791"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26865.672
      </sumStat>
      <sumStat type="mean">
        37.484
      </sumStat>
      <sumStat type="stdev">
        513.243
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V293" name="vP_Sold01_Tea_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of tea in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p21 Permanent crop and Plantations Quantity sold x price

Madagascar:p7 module C  qc6

Mali:NA

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:NA

Nicaragua:NA

Senegal:NA]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12352.9411764706"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12352.941
      </sumStat>
      <sumStat type="mean">
        4.089
      </sumStat>
      <sumStat type="stdev">
        189.083
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V294" name="vP_Sold01_SugarB_hh" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Sales of sugar beet in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:NA

Madagascar:p7 module C qc6

Mali:NA

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:NA

Nicaragua:NA

Senegal:NA]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6974
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="vP_Sold01_Crops_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the sales of all crops in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="604582.089552239"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        604582.09
      </sumStat>
      <sumStat type="mean">
        2869.973
      </sumStat>
      <sumStat type="stdev">
        14135.072
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the crop production matrix, which is located in the following modules of the core questionnaire:

Kenya:p20 Main season crop Quantity sold  x price (see kenya database user information) and p21 Permanent crops and plantations Quantity sold x price (data users can refer to the kenya database user guide)

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente and M4/8

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161 and Q191

Nicaragua:derived from all crop sales

Senegal:p20 section K K1 and K9 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="vP_Sold02_CattleTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the sales of cattle (in PPP)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="119402.985074627"/>
      </valrng>
      <sumStat type="vald">
        3110
      </sumStat>
      <sumStat type="invd">
        4159
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        119402.985
      </sumStat>
      <sumStat type="mean">
        663.509
      </sumStat>
      <sumStat type="stdev">
        4375.572
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix, which is located in the following modules of the core questionnaire:

Kenya:p35 Livestock

Madagascar:p9 module EL ELE_I2

Mali:p10 M3/6

Morocco:p13 M253

Mexico:Q217

Nicaragua:p15 q76,1 c10

Senegal:p24 section M M5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="vP_Sold02_OthAnim_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the sales of oth animals than cattle (in PPP)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850.74626865672"/>
      </valrng>
      <sumStat type="vald">
        4388
      </sumStat>
      <sumStat type="invd">
        2881
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850.746
      </sumStat>
      <sumStat type="mean">
        121.647
      </sumStat>
      <sumStat type="stdev">
        349.693
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix, which is located in the following modules of the core questionnaire:

Kenya:p35 Livestock

Madagascar:p9 module EL ELE_I2

Mali:p10 M3/6

Morocco:p13 M253

Mexico:Q217

Nicaragua:p15 q76,1 c10

Senegal:p24 section M M5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V298" name="vP_Sold02_TotLiveAnim_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the sales of all live animals
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="119402.985074627"/>
      </valrng>
      <sumStat type="vald">
        2925
      </sumStat>
      <sumStat type="invd">
        4344
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        119402.985
      </sumStat>
      <sumStat type="mean">
        789.458
      </sumStat>
      <sumStat type="stdev">
        4562.089
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the livestock production matrix, which is located in the following modules of the core questionnaire:

Kenya:p35 Livestock

Madagascar:p9 module EL ELE_I2

Mali:p10 M3/6

Morocco:p13 M253

Mexico:Q217

Nicaragua:p15 q76,1 c10

Senegal:p24 section M M5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V299" name="vP_Sold01_SumStaple_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of all staples in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="604582.089552239"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        604582.09
      </sumStat>
      <sumStat type="mean">
        1429.034
      </sumStat>
      <sumStat type="stdev">
        8899.394
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the annual/season crop production matrix, which is located in the following modules of the core questionnaire:

Kenya:derived from season crops

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Mexico:Q131 and Q161

Nicaragua:derived from all staple sales

Senegal:p20 section K K1 and K9 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V300" name="vP_Sold01_SumTradExp_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of all traditional export products in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="432835.820895522"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        432835.821
      </sumStat>
      <sumStat type="mean">
        441.858
      </sumStat>
      <sumStat type="stdev">
        6069.656
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the crop production matrix, which is located in the following modules of the core questionnaire:

Kenya:derived from season crops, permanent crops and plantations

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente

Morocco:p14 M311 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161

Nicaragua:derived from all traditional export sales

Senegal:p20 section K K1 and K9 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V301" name="vP_Sold01_SumFV_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of all fruit and veg in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="298507.462686567"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        298507.463
      </sumStat>
      <sumStat type="mean">
        858.063
      </sumStat>
      <sumStat type="stdev">
        7827.033
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from the crop production matrix, which is located in the following modules of the core questionnaire:

Kenya:derived from season crops, permanent crops and plantations

Madagascar:p7 module C  qc6

Mali:p16 M4/9 Quantites x PU de vente and M4/8

Morocco:p15 M312 quantite commercialisee (q) x prix unitaire de vente

Mexico:Q131 and Q161 and Q191

Nicaragua:derived from all fruit and vegetable sales

Senegal:p20 section K K1 and K9 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="vP_Sold02_SumLivestProd_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of livestock products (including live animals) in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-2.58823529411765" max="196583.125"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        -2.588
      </sumStat>
      <sumStat type="max">
        196583.125
      </sumStat>
      <sumStat type="mean">
        1233.573
      </sumStat>
      <sumStat type="stdev">
        6428.692
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:derived from livestock products

Madagascar:p9 module EL PE_E

Mali:p10 M3/9

Morocco:p13 M253 and p17 M321

Mexico:Q217

Nicaragua:derived from all livestock products sales

Senegal:p24 section M M5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V303" name="vP_Sold01_SumOther_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of other products in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="112500"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        112500
      </sumStat>
      <sumStat type="mean">
        140.811
      </sumStat>
      <sumStat type="stdev">
        2090.918
      </sumStat>
      <codInstr>
        <![CDATA[The variable is derived from thecrop and livestock production matrix, which is located in the following modules of the core questionnaire:

Kenya:NA

Madagascar:p7 module C  qc6

Mali:p10 M3/6

Morocco:p14 M311 quantite quantite commercialisee (q) x prix unitaire de vente and p15 M312 quantite commercialisee (q) x prix unitaire de vente

Mexico:NA

Nicaragua:NA

Senegal:p24 section M M5]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V304" name="vP_AutoC01_Rice_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of rice in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p6 module DC DC09 and DC24

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:p9 q61.1 c1 c5 and c9

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="35521.2864109661"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        35521.286
      </sumStat>
      <sumStat type="mean">
        295.963
      </sumStat>
      <sumStat type="stdev">
        1157.042
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="vP_AutoC01_Maize_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of maize in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="30000"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        172.876
      </sumStat>
      <sumStat type="stdev">
        632.919
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="vP_AutoC01_Wheat_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of wheat in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:NA

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="94562.5"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        94562.5
      </sumStat>
      <sumStat type="mean">
        114.899
      </sumStat>
      <sumStat type="stdev">
        1578.817
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="vP_AutoC01_OthCereal_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of other cereals than maize, rice and wheat in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="35000"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        35000
      </sumStat>
      <sumStat type="mean">
        194.123
      </sumStat>
      <sumStat type="stdev">
        1055.959
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V308" name="vP_AutoC01_Cassava_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of cassava in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10

Senegal:p20 section K K1 and K7 and K10 Autoconsommee
 
Morocco:NA

Mexico:NA

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="110149.253731343"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        110149.254
      </sumStat>
      <sumStat type="mean">
        61.716
      </sumStat>
      <sumStat type="stdev">
        1507.513
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V309" name="vP_AutoC01_Potatoe_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of potato in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2570.1858442072"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2570.186
      </sumStat>
      <sumStat type="mean">
        19.022
      </sumStat>
      <sumStat type="stdev">
        86.671
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V310" name="vP_AutoC01_OthStaple_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of other staples in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="18089.552238806"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18089.552
      </sumStat>
      <sumStat type="mean">
        145.967
      </sumStat>
      <sumStat type="stdev">
        588.251
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V311" name="vP_AutoC01_SumStaple_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of all staples in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="110561.194029851"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        110561.194
      </sumStat>
      <sumStat type="mean">
        1008.084
      </sumStat>
      <sumStat type="stdev">
        3026.921
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 season crops

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163

Nicaragua:derived from all staple self-consumption

Senegal:p20 section K K1 and K7 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V312" name="vP_AutoC01_SumFV_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of all fruit and veg in PPP per year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="4850.40200342691"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4850.402
      </sumStat>
      <sumStat type="mean">
        44.133
      </sumStat>
      <sumStat type="stdev">
        149.909
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 season crops and p21 permanent crops and plantations

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente and p15 M312 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163 and Q189-191-193

Nicaragua:derived from all traditional export self-consumption

Senegal:p20 section K K1 and K7 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V313" name="vP_AutoC01_SumOthProd_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of all other products in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="195000"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        195000
      </sumStat>
      <sumStat type="mean">
        194.472
      </sumStat>
      <sumStat type="stdev">
        2655.468
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 season crops and p21 permanent crops and plantations

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente and p15 M312 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163 and Q189-191-193

Nicaragua:derived from all fruit and vegetable self-consumption

Senegal:p20 section K K1 and K7 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V314" name="vP_AutoC02_SumLivestProd_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Self-consumption of all livestock products in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-3074.73309608541" max="34454.7563805104"/>
      </valrng>
      <sumStat type="vald">
        6138
      </sumStat>
      <sumStat type="invd">
        1131
      </sumStat>
      <sumStat type="min">
        -3074.733
      </sumStat>
      <sumStat type="max">
        34454.756
      </sumStat>
      <sumStat type="mean">
        194.121
      </sumStat>
      <sumStat type="stdev">
        999.49
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:no information in the questionnaire (see user guide of the national dataset)

Madagascar:p9 module EL PE_E

Mali:p11 M3/10

Morocco:p17 M 321

Mexico:Q214 and Q216

Nicaragua:derived from all livestock products self-consumption

Senegal:p24 section M M6]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V315" name="vP_AutoC01_Crops_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the self-consumption of all crop production in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="195000"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        195000
      </sumStat>
      <sumStat type="mean">
        1256.781
      </sumStat>
      <sumStat type="stdev">
        4071.052
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 season crops and p21 permanent crops and plantations

Madagascar:p7 module C qC7 and C6

Mali:p17 M4/10 Autoconsommee

Morocco:p14 M311 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente and p15 M312 quantite produite (qx) - quantite commercialisee (q) x prix unitaire de vente

Mexico:Q129-131-133 and Q159-161-163 and Q189-191-193

Nicaragua:p9 q61.1 c1 and c9 and c10

Senegal:p20 section K K1 and K7 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V316" name="vP_AutoC02_Livestocks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the self-consumption of all livestock production in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-3074.73309608541" max="34454.7563805104"/>
      </valrng>
      <sumStat type="vald">
        6138
      </sumStat>
      <sumStat type="invd">
        1131
      </sumStat>
      <sumStat type="min">
        -3074.733
      </sumStat>
      <sumStat type="max">
        34454.756
      </sumStat>
      <sumStat type="mean">
        194.121
      </sumStat>
      <sumStat type="stdev">
        999.49
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:no information in the national questionnaire (see the user guide)

Madagascar:p9 module EL  and PE

Mali:p11 M3/10

Morocco:p17 M 321

Mexico:Q214 and Q216

Nicaragua:p16 q78.1 c3 anc c4 and c5

Senegal:p25 section M6]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V317" name="vP_Prod01_Rice_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production or rice in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="116097.641144625"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        116097.641
      </sumStat>
      <sumStat type="mean">
        699.318
      </sumStat>
      <sumStat type="stdev">
        3369.418
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 Main season crop Quantity produced  x price (see kenya database user information)

Madagascar:p6 module DC qDC02

Mali:p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129-133 and Q159-163

Nicaragua:p9 q61.1 c1 c5 and c9

Senegal:p20 section K K1 and K4 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V318" name="vP_Prod01_Maize_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production of maize in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="346537.313432836"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        346537.313
      </sumStat>
      <sumStat type="mean">
        662.902
      </sumStat>
      <sumStat type="stdev">
        5030.393
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 Main season crop Quantity produced  x price (see kenya database user information)

Madagascar:p7 module C qC2

Mali:p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129-133 and Q159-163

Nicaragua:p9 q61.1 c1 c5 and c9

Senegal:p20 section K K1 and K4 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V319" name="vP_Prod01_Wheat_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production of wheat in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="103937.5"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        103937.5
      </sumStat>
      <sumStat type="mean">
        155.725
      </sumStat>
      <sumStat type="stdev">
        1962.076
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 Main season crop Quantity produced  x price (see kenya database user information)

Madagascar:p7 module C qC2

Mali:p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129-133 and Q159-163

Nicaragua:NA

Senegal:p20 section K K1 and K4 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V320" name="vP_Prod01_OthCereal_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production of other cereals in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="258805.970149254"/>
      </valrng>
      <sumStat type="vald">
        7011
      </sumStat>
      <sumStat type="invd">
        258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        258805.97
      </sumStat>
      <sumStat type="mean">
        277.927
      </sumStat>
      <sumStat type="stdev">
        3308.285
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 Main season crop Quantity produced  x price (see kenya database user information)

Madagascar:p7 module C  qC2

Mali:p14 M4/7

Morocco:p14 M311 quantite produite (qx)x prix unitaire de vente

Mexico:Q129-133 and Q159-163

Nicaragua:p9 q61.1 c1 c5 and c9

Senegal:p20 section K K1 and K4 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V321" name="vP_PB01_Crops_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production of crops in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="611817.910447761"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        611817.91
      </sumStat>
      <sumStat type="mean">
        4126.833
      </sumStat>
      <sumStat type="stdev">
        15148.406
      </sumStat>
      <codInstr>
        <![CDATA[Kenya: season crops, permanent crops and plantations

Madagascar:p6 module DC qDC02 and p7 module C qC2

Mali:p14 M4/7

Morocco:p14 M311 quantite produite (qx) x prix unitaire de vente and p15 M312 quantite produite (q) x prix unitaire de vente

Mexico:Q129-133 and Q159-163 and Q189-193

Nicaragua:p9 q61.1 c1 c5 and c9

Senegal:p20 section K K1 and K4 and K10]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V322" name="vP_Cost01_Crops_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Costs of crop production in $PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-255223.880597015" max="107500"/>
      </valrng>
      <sumStat type="vald">
        6973
      </sumStat>
      <sumStat type="invd">
        296
      </sumStat>
      <sumStat type="min">
        -255223.881
      </sumStat>
      <sumStat type="max">
        107500
      </sumStat>
      <sumStat type="mean">
        743.791
      </sumStat>
      <sumStat type="stdev">
        6060.211
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:derived from season crops, permanent crops and plantations

Madagascar:p6 module DC qDC02 and p7 module C qC2

Mali:p14 M4/7;Morocco:p14 M311 quantite produite (qx) x prix unitaire de vente and p15 M312 quantite produite (q) x prix unitaire de vente

Madagascar:p8 module IT qITB5 and module MO qMO12

Mali:p15 M4/8 Valeur Totale

Morocco:p16 M313

Mexico:Q143-144-145-146-147-148-149 and Q173-174-175-176-177-178-179 and Q203-204-205-206-207-208-209

Nicaragua:p14 q74 1 c2

Senegal:p21 section K K15, K16, K17, K18, K19, K20, K21]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V323" name="vP_Cost01_FertPest_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Cost of fertilizers and pesticides in $PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-41.0958904109589" max="107500"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -41.096
      </sumStat>
      <sumStat type="max">
        107500
      </sumStat>
      <sumStat type="mean">
        972.35
      </sumStat>
      <sumStat type="stdev">
        3850.743
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p20 and p22 Estimate the costs for the season of the following items

Madagascar:p8 module IT qITB5

Mali:p15 M4/8 Valeur Totale

Morocco:p16 M313

Mexico:Q143-144 and Q173-174 and Q203-204

Nicaragua:p14 q74.1 c1-c2

Senegal:p21 section K K15, K16]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V324" name="vP_Sold02_Livestocks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the sales of all livestock products and livge animals in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="196583.125"/>
      </valrng>
      <sumStat type="vald">
        6160
      </sumStat>
      <sumStat type="invd">
        1109
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        196583.125
      </sumStat>
      <sumStat type="mean">
        1382.725
      </sumStat>
      <sumStat type="stdev">
        6843.084
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p25 and p26 livestock and livestock products

Madagascar:p9 module EL  and PE

Mali:p10 M3/9

Morocco:p13 M253 and p17 M321

Mexico:Q217

Nicaragua:p15 q76.1 c10

Senegal:p24 section M M5 and p25 M14]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V325" name="vP_PB02_Livestocks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Gross Product from Livestock production in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-3038.23529411765" max="196583.125"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -3038.235
      </sumStat>
      <sumStat type="max">
        196583.125
      </sumStat>
      <sumStat type="mean">
        1451.894
      </sumStat>
      <sumStat type="stdev">
        6514.89
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p25 and p26 livestock and livestock products

Madagascar:p9 module EL  and PE

Mali:p10 M3/9

Morocco:p13 M253 and p17 M321

Mexico:Q214

Nicaragua:p15 q76.1 c10 and p16 q78.1 c5

Senegal:p24 section M M5 and p25 M12 and M14]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V326" name="vP_Cost02_Livestocks_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Costs of livestock production in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="108433.582089552"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        108433.582
      </sumStat>
      <sumStat type="mean">
        505.425
      </sumStat>
      <sumStat type="stdev">
        3276.61
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p26 Estimate the costs of livestock keeping for the season

Madagascar:p9 module CIE qCIE2

Mali:p10 M3/9

Morocco:p17 M322

Mexico:Q226-227-228-229-230-231

Nicaragua:p18 q84.1 c2

Senegal:p25 section M M17, M18, M19, M20, M21, M22, M23]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="vP_CostExtWorkTot_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Annual costs of external work on the farm in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="108433.582089552"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        108433.582
      </sumStat>
      <sumStat type="mean">
        505.425
      </sumStat>
      <sumStat type="stdev">
        3276.61
      </sumStat>
      <codInstr>
        <![CDATA[Kenya:p15 Labour force: Q55 and Q60 and Q61

Madagascar:p8 module MO qMO12

Mali:p10 M3/9 Gardiennage Berger and p18 Embauche de travailleurs saisonniers

Morocco:p10 M22

Mexico:Q146 and Q176 and Q206

Nicaragua:p14 q74.1 c1.3-c2 and p18 q84.1 c1.1-c2 and p21 q93.1 c1.1-c2

Senegal:p21 section K K18 and p25 section M M17]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="vP_PB_Farm_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Farm Gross Product in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-2306.2645997027" max="623287.164179104"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -2306.265
      </sumStat>
      <sumStat type="max">
        623287.164
      </sumStat>
      <sumStat type="mean">
        5678.443
      </sumStat>
      <sumStat type="stdev">
        18917.162
      </sumStat>
      <codInstr>
        The variable is derived from season crops, permanent crops and plantations and livestock and fishing, picking, hunting activities, and processing of farm products
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V329" name="vP_Sold03_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of products from hunting, fishing and gathering activities in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p29 Fishing, hunting and picking (fruits, medicinal plants, mushrooms, etc.) Income per month of those activities

Madagascar: no info in the questionnaire

Mali:p17 M4/11

Morocco:p18 M34 Revenu annuel

Mexico:Q242

Nicaragua:p19 q86.1

Senegal:p28 section O O3]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12537.3134328358"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12537.313
      </sumStat>
      <sumStat type="mean">
        43.183
      </sumStat>
      <sumStat type="stdev">
        396.823
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V330" name="vP_Sold04_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Sales of products from on-farm processing activities in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p27 Processing of agricultural products Q83.1 Quantity produced per month, price per unit and monthly costs

Madagascar:p7 module C qC30

Mali:p17 M4/11

Morocco:p18 M33

Mexico:Q235 and Q 236

Nicaragua:p19 q87.1 c2

Senegal:p27 section N N6 and N7]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="105042.537313433"/>
      </valrng>
      <sumStat type="vald">
        6974
      </sumStat>
      <sumStat type="invd">
        295
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        105042.537
      </sumStat>
      <sumStat type="mean">
        214.452
      </sumStat>
      <sumStat type="stdev">
        2685.625
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V331" name="vP_PB03_HFG_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Gross product from hunting, fishing and gathering activities in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p29 Fishing, hunting and picking (fruits, medicinal plants, mushrooms, etc.) Income per month of those activities

Madagascar: no info in the questionnaire

Mali:p17 M4/11

Morocco:p18 M34 Revenu annuel

Mexico:Q242

Nicaragua:p19 q86.1

Senegal:p28 section O O3]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="12537.3134328358"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12537.313
      </sumStat>
      <sumStat type="mean">
        49.7
      </sumStat>
      <sumStat type="stdev">
        411.694
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V332" name="vP_Cost03_HFG_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Costs of products from hunting, fishing and gathering activities in PPP per year
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p29 Fishing, hunting and picking (fruits, medicinal plants, mushrooms, etc.) Income per month of those activities

Madagascar:no info in the questionnaire

Mali:p17 M4/11

Morocco:no info in the questionnaire

Mexico:No info in the questionnaire

Nicaragua: no info in the questionnaire

Senegal: no info in the questionnaire]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3343.28358208955"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3343.284
      </sumStat>
      <sumStat type="mean">
        2.659
      </sumStat>
      <sumStat type="stdev">
        80.49
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V333" name="vP_PB04_Transfo_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the production of products from on-farm processing activities in PPP pe
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p27 Processing of agricultural products Q83.1 Quantity produced per month, price per unit

Madagascar:p7 module C qC30

Mali:p17 M4/11

Morocco:p18 M33 Quantite produite x prix unitaire

Mexico:Q235 and Q236

Nicaragua:p19 q86.1 c4-c5

Senegal:p28 section N N4 and N7]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="106976.865671642"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        106976.866
      </sumStat>
      <sumStat type="mean">
        235.974
      </sumStat>
      <sumStat type="stdev">
        2702.498
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V334" name="vP_Cost04_Transfo_hh" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        Value of the costs of products from on-farm processing activities
      </labl>
      <qstn>
        <qstnLit>
          <![CDATA[Kenya:p27 Processing of agricultural products Q83.1 monthly costs

Madagascar:p7 module C qC30

Mali:p17 M4/11

Morocco:p18 M33 Couts de la transformation

Mexico:Q237

Nicaragua:p19 q86.1 c6

Senegal:p28 section N N8]]>
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2083.33333333333"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2083.333
      </sumStat>
      <sumStat type="mean">
        2.104
      </sumStat>
      <sumStat type="stdev">
        47.477
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V335" name="Index_InverseHHI" files="F3" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        1/ Herfindal Hirshman Index
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="-2.22044604925031e-16" max="1"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        -2.22e-16
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        0.227
      </sumStat>
      <sumStat type="stdev">
        0.202
      </sumStat>
      <txt>
        <![CDATA[The diversification index (1-HHi) is defined as the opposite of the Herfindahl-Hirschman Index (HHi). 
The definition of the index is the following: XXXX where i represents the different income sources (on-farm, agricultural wages, non-agricultural wages, self-employment, public transfers, private transfers, rents), n the number of income sources, and P the percentage of every income source. 
Because the HHi squares the shares (i.e. the shares of income sources), it strengthens the main pattern of the household. It ranges from zero (entirely specialized) to one (highly diversified).]]>
      </txt>
      <codInstr>
        <![CDATA[A commonly accepted measure of market concentration. It is calculated by squaring the market share of each firm competing in a market, and then summing the resulting numbers. The HHI number can range from close to zero to 10,000. The HHI is expressed as:  HHI = s1^2 + s2^2 + s3^2 + ... + sn^2 (where sn is the market share of the ith firm). 

The closer a market is to being a monopoly, the higher the market's concentration (and the lower its competition). If, for example, there were only one firm in an industry, that firm would have 100% market share, and the HHI would equal 10,000 (100^2), indicating a monopoly. Or, if there were thousands of firms competing, each would have nearly 0% market share, and the HHI would be close to zero, indicating nearly perfect competition.]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V336" name="C1_RevG" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        C1 = value of the First Income Source (in PPP per EqA)
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        C1 = value of the First Income Source (in PPP per EqA)
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          C1 = Agri
        </labl>
        <catStat type="freq">
          3791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          C1 = Livest
        </labl>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          C1 = HFG
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          C1 = Transfo
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          C1 = AgWage
        </labl>
        <catStat type="freq">
          640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          C1 = NAgWage
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          C1 = SelfEmpl
        </labl>
        <catStat type="freq">
          1059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          C1 = Transf_Pub
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          C1 = Remit
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          C1 = Rent
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V337" name="C2_RevG" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        C2 = value of the of the sum of the First and the Second Income Sources (in PPP
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        C2 = value of the of the sum of the First and the Second Income Sources (in PPP per EqA)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          C2 = no second income source
        </labl>
        <catStat type="freq">
          669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          C2 = Agri
        </labl>
        <catStat type="freq">
          1761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          C2 = Livest
        </labl>
        <catStat type="freq">
          1469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          C2 = HFG
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          C2 = Transfo
        </labl>
        <catStat type="freq">
          281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          C2 = AgWage
        </labl>
        <catStat type="freq">
          649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          C2 = NAgWage
        </labl>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          C2 = SelfEmpl
        </labl>
        <catStat type="freq">
          1099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          C2 = Transf_Pub
        </labl>
        <catStat type="freq">
          193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          C2 = Remit
        </labl>
        <catStat type="freq">
          482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          C2 = Rent
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V338" name="c_WDR" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Typology from WDR08
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Typology from WDR08
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Farm oriented HH
        </labl>
        <catStat type="freq">
          3239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Labor oriented HH
        </labl>
        <catStat type="freq">
          1270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Transfer and rents oriented HH
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Diversified HH
        </labl>
        <catStat type="freq">
          2601
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V339" name="c_FarmMarket" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Typology from WDR08 for Farm HH
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        2977
      </sumStat>
      <sumStat type="invd">
        4292
      </sumStat>
      <txt>
        Typology from WDR08
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Subsistence
        </labl>
        <catStat type="freq">
          1361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Market oriented
        </labl>
        <catStat type="freq">
          1616
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4292
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="c_FarmMarket2" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Fine tuned WDR08 typology for Farm HH
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Typology from WDR08
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Core Subsistence
        </labl>
        <catStat type="freq">
          4590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Market user
        </labl>
        <catStat type="freq">
          1063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Market oriented
        </labl>
        <catStat type="freq">
          1616
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V341" name="c_WDR3" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Fine-tuned typology adjusted from WDR08
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Typology from WDR08
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Farm oriented HH
        </labl>
        <catStat type="freq">
          4015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Labor oriented HH
        </labl>
        <catStat type="freq">
          1820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Transfer and rents oriented HH
        </labl>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Diversified HH
        </labl>
        <catStat type="freq">
          1193
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V342" name="c_TargetGroupEqA" files="F3" dcml="0" intrvl="discrete">
      <location width="10"/>
      <labl>
        Target groups of households
      </labl>
      <qstn>
        <qstnLit>
          See imputation and derivation.
        </qstnLit>
      </qstn>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        7269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Extreme Poors
        </labl>
        <catStat type="freq">
          2924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Poors
        </labl>
        <catStat type="freq">
          1166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Capacity
        </labl>
        <catStat type="freq">
          919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Better Off
        </labl>
        <catStat type="freq">
          2260
        </catStat>
      </catgry>
      <codInstr>
        see the corresponding SPSS synthax
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
