DDI_WLD_2007_RSHS_v02_M World Bank. Africa Region. Sustainable Development Department. Agriculture and Rural Development Unit French Ministry of Foreign and European Affairs Centre de Coopération Internationale en Recherche Agronomique pour le Développement 2011-05-15 NADA DDI Document - Version 02 - (05/24/21) This version is identical to DDI_WLD_2007_RSHS_v01_M but country field has been updated to capture all the countries covered by survey. Version 1.0 (May 2011) RuralStruc Household Survey 2007-2008 RSHS 2007-2008 WLD_2007_RSHS_v01_M RuralStruc Program Coordination Team Tegemeo Institute APB Consulting Institut d’Économie Rurale Michigan State University Centre de Coopération Internationale en Recherche Agronomique pour le Développement Facultad Latinoamericana de Ciencias Sociales - Mexico Icon2e Instituto de Investigación y Desarrollo Nitlapán Initiative Prospective Agricole et Rurale (c) RuralStruc Surveys NADA RuralStruc Multi donor Trust Fund World Bank Agence Française de Développement French Ministry of Foreign and European Affairs International Fund for Agricultural Development French Ministry of Food, Agriculture and Fisheries Centre de Coopération Internationale en Recherche Agronomique pour le Développement Finnish Ministry of Foreign Affairs Swiss Agency for Development and Cooperation TF054027 Other Household Health Survey [hh/hea] 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). v2.1: Edited, anonymous dataset for public distribution Employment Demography The study includes a merged core data file from the 7 country RuralStruc surveys conducted in 2007-2008. Kenya Madagascar Mali Mexico Morocco Nicaragua Senegal 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. 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. 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. The universe covered by the study includes rural households and all household members that were selected in the study areas. Sample survey data [ssd] 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. Kenya: Egerton University Madagascar: Reseau des Observatoires Ruraux Mali: Institut d’Économie Rurale Mexico: Grupo de Asesores Unidos S.C. Nicaragua: Nitlapán Senegal: Association Sénégalaise pour la Promotion du Développement à la Base 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. Face-to-face [f2f] 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. 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. For details on supervision of data collection, the data user should refer to the National Reports of each survey country The data is unweighted 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. 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. World Bank 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]. Public use files, accessible to all 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. RuralStruc Merged_v1.0 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. 7269 171 identification of the household identification of the household identification of the household identification of the household identification of the household See imputation and derivation. 7269 101102101 707900988 405116977.093 182868189.162 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 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 Code of country Code of country Code of country Code of country Code of country See imputation and derivation. 7269 10 Mali 20 Senegal 30 Madagascar 40 Kenya 50 Morocco 60 Nicaragua 70 Mexico 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 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. Identification of the level of analysis Identification of the level of analysis Identification of the level of analysis Identification of the level of analysis Identification of the level of analysis 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 7269 110 Tominian 120 Diéma 130 Koutiala 140 Macina 210 Casamance 220 BA Nord 1 230 BA Sud 240 Haut Delta 250 BA Nord 2 280 Bas Delta 310 Antsirabe 2 320 Alaotra 1 330 Morondava 340 Itasy 350 Antsirabe 1 360 Alaotra 2 440 Bungoma 450 Nyando 460 Nakuru North 510 Chaouia 520 Saiss 530 Souss 610 Muy Muy 620 Terrabona 630 El Viejo 640 La Libertad 650 El Cuá 780 Sierra Santa Marta 790 Tierras Bajas 795 Tequisquiapan 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. Identification number of the household Identification number of the household Identification number of the household Identification number of the household Identification number of the household See imputation and derivation. 7269 1 4628 895.101 825.294 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. Quintile Groups of households Quintile Groups of households Quintile Groups of households Quintile Groups of households Quintile Groups of households See imputation and derivation. 7269 1 Q1 2 Q2 3 Q3 4 Q4 5 Q5 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. 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. Number of members in the household, including long-term migrants Number of members in the household, including long-term migrants Number of members in the household, including long-term migrants Number of members in the household, including long-term migrants Number of members in the household, including long-term migrants See imputation and derivation. 7268 1 1 77 7.741 5.669 A member of a household is any person mentioned by the interviewee that is part of the household, including long-term migrants (>6 months) 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 Number of members of the household excluding long-term migrants Number of members of the household excluding long-term migrants Number of members of the household excluding long-term migrants Number of members of the household excluding long-term migrants Number of members of the household excluding long-term migrants See imputation and derivation. 7269 1 73 7.377 5.366 All members of the household listed by the interviewee, excluding long-term migrants (>6months). 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 Number of adult equivalent in the household, based on all the present members of Number of adult equivalent in the household, based on all the present members of Number of adult equivalent in the household, based on all the present members of Number of adult equivalent in the household, based on all the present members of Number of adult equivalent in the household, based on all the present members of See imputation and derivation. 7269 0.74 58.32 6.132 4.42 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. 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 Total Number of Economically Active Population in the HH Total Number of Economically Active Population in the HH Total Number of Economically Active Population in the HH Total Number of Economically Active Population in the HH Total Number of Economically Active Population in the HH See imputation and derivation. 7269 34 4.022 2.924 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. 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 Number of economically active males (aged 15-64 yrs) in the household (current m Number of economically active males (aged 15-64 yrs) in the household (current m Number of economically active males (aged 15-64 yrs) in the household (current m Number of economically active males (aged 15-64 yrs) in the household (current m Number of economically active males (aged 15-64 yrs) in the household (current m See imputation and derivation. 7269 1 2 3 4 5 6 7 8 9 10 11 12 13 14 18 The males of the Economically Active Population (EAP) includes all male members aged between 15 and 64 years. 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 Number of economically active females (aged 15-64 yrs) in the household (current Number of economically active females (aged 15-64 yrs) in the household (current Number of economically active females (aged 15-64 yrs) in the household (current Number of economically active females (aged 15-64 yrs) in the household (current Number of economically active females (aged 15-64 yrs) in the household (current See imputation and derivation. 7269 21 2.017 1.702 The females of the Economically Active Population (EAP) includes all female members aged between 15 and 64 years. 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 nb active/nb inactive members (members of the total household, including all mig nb active/nb inactive members (members of the total household, including all mig nb active/nb inactive members (members of the total household, including all mig nb active/nb inactive members (members of the total household, including all mig nb active/nb inactive members (members of the total household, including all mig See imputation and derivation. 7269 24 1.374 1.425 The Activity ratio corresponds to the ratio between the active population (EAP) and the inactives (elders and children), all the households members being included. 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. nb inactive/nb active members (members of the households that are present, excl nb inactive/nb active members (members of the households that are present, excl nb inactive/nb active members (members of the households that are present, excl nb inactive/nb active members (members of the households that are present, excl nb inactive/nb active members (members of the households that are present, excl See imputation and derivation. 7168 101 10 1 0.822 The dependency ratio corresponds the ratio between the inactive population (elders and children) and the EAP, only the present members being included. 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. Nb of children (under 15) Nb of children (under 15) Nb of children (under 15) Nb of children (under 15) Nb of children (under 15) See imputation and derivation. 6583 686 47 3.4 3.345 A child is a non-EAP household member, i.e. a member whose age is under 15 years. 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 Nb of children / total size of the household (including all migrants) Nb of children / total size of the household (including all migrants) Nb of children / total size of the household (including all migrants) Nb of children / total size of the household (including all migrants) Nb of children / total size of the household (including all migrants) See imputation and derivation. 6583 686 1.6 0.419 0.28 The children ratio corresponds to the ratio between the number of children and all the households members. 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. Age of the head of household (in years) Age of the head of household (in years) Age of the head of household (in years) Age of the head of household (in years) Age of the head of household (in years) 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 7267 2 16 99 48.371 14.635 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. Sex of the head of household Sex of the head of household Sex of the head of household Sex of the head of household Sex of the head of household 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 7269 1 Male 2 Female Sex of the head of household. Education level of the head of household Education level of the head of household Education level of the head of household Education level of the head of household Education level of the head of household 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 7265 4 No education 1 Primary School started 2 Primary School finished 3 Secondary School started 4 Secondary School finished or University Level Sysmiss Education level of the head of household. Network Index of the HH head (sum of the memberships) Network Index of the HH head (sum of the memberships) Network Index of the HH head (sum of the memberships) Network Index of the HH head (sum of the memberships) Network Index of the HH head (sum of the memberships) See imputation and derivation. 4827 2442 Don't belong to any association/project/group 1 Belong to 1 assocation/project/group 2 Belong to 2 assocation/project/group 3 Belong to 3 assocation/project/group 4 Belong to 4 assocation/project/group 5 Belong to 5 assocation/project/group 6 Belong to 6 association/project/group Sysmiss Network Index of the HH head (sum of the memberships). 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 Households with migrants Households with migrants Households with migrants Households with migrants Households with migrants See imputation and derivation. 7269 no 1 yes 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. 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 Households with long term migrants Households with long term migrants Households with long term migrants Households with long term migrants Households with long term migrants See imputation and derivation. 7269 no 1 yes 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. 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 Total number of migrants Total number of migrants Total number of migrants Total number of migrants Total number of migrants See imputation and derivation. 6540 729 1 2 3 4 5 6 7 8 9 10 Sysmiss 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. 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 Number of long term migrants (males + females) Number of long term migrants (males + females) Number of long term migrants (males + females) Number of long term migrants (males + females) Number of long term migrants (males + females) See imputation and derivation. 7268 1 1 2 3 4 5 6 7 8 9 10 Sysmiss Number of long term migrants (males + females). 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 Number of male long-term migrants (who are not included in the present populatio Number of male long-term migrants (who are not included in the present populatio Number of male long-term migrants (who are not included in the present populatio Number of male long-term migrants (who are not included in the present populatio Number of male long-term migrants (who are not included in the present populatio See imputation and derivation. 7269 1 2 3 4 5 6 7 8 Number of male long-term migrants (who are not included in the present population of the household). 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 Number of female long term-migrants (who are not included in the present populat Number of female long term-migrants (who are not included in the present populat Number of female long term-migrants (who are not included in the present populat Number of female long term-migrants (who are not included in the present populat Number of female long term-migrants (who are not included in the present populat See imputation and derivation. 7268 1 1 2 3 4 5 Sysmiss Number of female long term-migrants (who are not included in the present population of the household). 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 Number of long-term migrants migrating to the national capital Number of long-term migrants migrating to the national capital Number of long-term migrants migrating to the national capital Number of long-term migrants migrating to the national capital Number of long-term migrants migrating to the national capital See imputation and derivation. 7257 12 1 2 3 4 5 6 Sysmiss Number of long-term migrants migrating to the national capital. 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 Number of long-term migrants migrating somewhere in the country, other than the Number of long-term migrants migrating somewhere in the country, other than the Number of long-term migrants migrating somewhere in the country, other than the Number of long-term migrants migrating somewhere in the country, other than the Number of long-term migrants migrating somewhere in the country, other than the See imputation and derivation. 7219 50 1 2 3 4 5 6 7 8 9 Sysmiss Number of long-term migrants migrating somewhere in the country, other than the national capital. 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 Number of long term-migrants migrating abroad Number of long term-migrants migrating abroad Number of long term-migrants migrating abroad Number of long term-migrants migrating abroad Number of long term-migrants migrating abroad See imputation and derivation. 7269 1 2 3 4 5 6 7 Number of long term-migrants migrating abroad. 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 Household with short term migrants Household with short term migrants Household with short term migrants Household with short term migrants Household with short term migrants See imputation and derivation. 7269 no 1 yes Household with short term migrants, i.e. spending less than 6 months out of the household. 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 Number of short term migrants Number of short term migrants Number of short term migrants Number of short term migrants Number of short term migrants See imputation and derivation. 6540 729 1 2 3 4 5 6 7 9 Sysmiss 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. 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 Number of male short-term migrants (who are not included in the present populati Number of male short-term migrants (who are not included in the present populati Number of male short-term migrants (who are not included in the present populati Number of male short-term migrants (who are not included in the present populati Number of male short-term migrants (who are not included in the present populati See imputation and derivation. 6540 729 1 2 3 4 5 Sysmiss Number of male short-term migrants (who are not included in the present population of the household). 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 Number of female short term-migrants (who are not included in the present popula Number of female short term-migrants (who are not included in the present popula Number of female short term-migrants (who are not included in the present popula Number of female short term-migrants (who are not included in the present popula Number of female short term-migrants (who are not included in the present popula See imputation and derivation. 6540 729 1 2 3 4 6 Sysmiss Number of female short term-migrants (who are not included in the present population of the household). 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 Number of short-term migrants migrating to the national capital Number of short-term migrants migrating to the national capital Number of short-term migrants migrating to the national capital Number of short-term migrants migrating to the national capital Number of short-term migrants migrating to the national capital See imputation and derivation. 6536 733 1 2 3 4 5 Sysmiss Number of short-term migrants migrating to the national capital. 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 Number of short-term migrants migrating somewhere in the country, other than the Number of short-term migrants migrating somewhere in the country, other than the Number of short-term migrants migrating somewhere in the country, other than the Number of short-term migrants migrating somewhere in the country, other than the Number of short-term migrants migrating somewhere in the country, other than the See imputation and derivation. 6536 733 1 2 3 4 5 6 7 9 Sysmiss Number of short-term migrants migrating somewhere in the country, other than the national capital. 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 Number of short term-migrants migrating abroad Number of short term-migrants migrating abroad Number of short term-migrants migrating abroad Number of short term-migrants migrating abroad Number of short term-migrants migrating abroad See imputation and derivation. 6525 744 1 2 3 6 Sysmiss Number of short term-migrants migrating abroad. 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 Household having a farm with crop production, livestock production and/or agricu Household having a farm with crop production, livestock production and/or agricu Household having a farm with crop production, livestock production and/or agricu Household having a farm with crop production, livestock production and/or agricu Household having a farm with crop production, livestock production and/or agricu See imputation and derivation. 7269 without Farm 1 with Farm 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. 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 Household with agricultural activities, including agricultural labor (=with ag. Household with agricultural activities, including agricultural labor (=with ag. Household with agricultural activities, including agricultural labor (=with ag. Household with agricultural activities, including agricultural labor (=with ag. Household with agricultural activities, including agricultural labor (=with ag. See imputation and derivation. 7269 Without agricultural activities 1 With agricultural activities A household with agricultural activities is a farm household and/or a household engaged in agricultural waged labor. 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 Household with off-farm income source Household with off-farm income source Household with off-farm income source Household with off-farm income source Household with off-farm income source See imputation and derivation. 7269 1 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. 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 % of Off-Farm Income in global Income % of Off-Farm Income in global Income % of Off-Farm Income in global Income % of Off-Farm Income in global Income % of Off-Farm Income in global Income See imputation and derivation. 7258 11 1 0.395 0.358 % of Off-Farm Income in total Income of the household. The variable is the ratio of the value of off-farm income and total income of the household. Households with agricultural labor Households with agricultural labor Households with agricultural labor Households with agricultural labor Households with agricultural labor See imputation and derivation. 7269 No ag. labor 1 Ag. work Households which only agricultural activity is agricultural waged labor. 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 Households with non ag labor Households with non ag labor Households with non ag labor Households with non ag labor Households with non ag labor See imputation and derivation. 7269 No non ag Labor 1 With non ag labor Households with non agricultural labor. 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 Households with self-employment Households with self-employment Households with self-employment Households with self-employment Households with self-employment See imputation and derivation. 7269 1 Households with self-employment. 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 Households with Remittances Households with Remittances Households with Remittances Households with Remittances Households with Remittances See imputation and derivation. 7269 No remittance 1 With remttances Households with Remittances. 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 Households with public transfers Households with public transfers Households with public transfers Households with public transfers Households with public transfers See imputation and derivation. 7269 No public transfer 1 With public transfers Households with public transfers 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 Households with transfers (public transfers and remittances) Households with transfers (public transfers and remittances) Households with transfers (public transfers and remittances) Households with transfers (public transfers and remittances) Households with transfers (public transfers and remittances) See imputation and derivation. 7269 No transfer 1 Transfers (publ. or remittances) Households with transfers (either public transfers or/and remittances). 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 Farm area used by household for crops and breeding, including fallow land occupi Farm area used by household for crops and breeding, including fallow land occupi Farm area used by household for crops and breeding, including fallow land occupi Farm area used by household for crops and breeding, including fallow land occupi Farm area used by household for crops and breeding, including fallow land occupi See imputation and derivation. 6837 432 2668.681 9.785 50.194 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). 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 Area in property/ownership (area cultivated or fallow land, excluding land rente Area in property/ownership (area cultivated or fallow land, excluding land rente Area in property/ownership (area cultivated or fallow land, excluding land rente Area in property/ownership (area cultivated or fallow land, excluding land rente Area in property/ownership (area cultivated or fallow land, excluding land rente See imputation and derivation. 5974 1295 1785.511 6.808 38.908 Area in property/ownership (area cultivated or fallow land, excluding land rented or lent to other farmers) (in Ha) 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 Irrigated area (in Ha) Irrigated area (in Ha) Irrigated area (in Ha) Irrigated area (in Ha) Irrigated area (in Ha) See imputation and derivation. 6839 430 100 0.74 3.286 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 Access to irrigation Access to irrigation Access to irrigation Access to irrigation Access to irrigation See imputation and derivation. 7269 no 1 yes 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 Access to an irrigation pump Access to an irrigation pump Access to an irrigation pump Access to an irrigation pump Access to an irrigation pump 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 6180 1089 no 1 yes Sysmiss Access to micro-irrigation Access to micro-irrigation Access to micro-irrigation Access to micro-irrigation Access to micro-irrigation 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 1461 5808 no 1 yes Sysmiss Access to draft force (ownership, rental or service) Access to draft force (ownership, rental or service) Access to draft force (ownership, rental or service) Access to draft force (ownership, rental or service) Access to draft force (ownership, rental or service) See imputation and derivation. 6090 1179 Manual 1 Low mechanization (animal plough) 2 Low moto-mechanization (tiller) 3 High moto-mechanization (tractor) Sysmiss 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 Access to a tractor Access to a tractor Access to a tractor Access to a tractor Access to a tractor 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 6179 1090 no 1 yes Sysmiss Access to tractor (in property or not) Access to animal plough Access to animal plough Access to animal plough Access to animal plough Access to animal plough 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 6090 1179 no 1 yes Sysmiss Access to animal plough (in property or not) Access to a tiller Access to a tiller Access to a tiller Access to a tiller Access to a tiller 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 4658 2611 no 1 yes Sysmiss Access to tiller (in property or not) Adoption of modern technical package (improved seeds, fertilizers, etc.) for the Adoption of modern technical package (improved seeds, fertilizers, etc.) for the Adoption of modern technical package (improved seeds, fertilizers, etc.) for the Adoption of modern technical package (improved seeds, fertilizers, etc.) for the Adoption of modern technical package (improved seeds, fertilizers, etc.) for the See imputation and derivation. 6790 479 Traditional practices 1 Technical package Sysmiss 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 Production and use of manure Production and use of manure Production and use of manure Production and use of manure Production and use of manure See imputation and derivation. 4398 2871 No Manure 1 Manure Sysmiss 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 Annual rice production, in kg Annual rice production, in kg Annual rice production, in kg Annual rice production, in kg Annual rice production, in kg 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 6811 458 750000 1412.64 11263.671 Annual maize production, in kg Annual maize production, in kg Annual maize production, in kg Annual maize production, in kg Annual maize production, in kg 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 6811 458 940000 1939.221 14427.529 Annual wheat production, in kg Annual wheat production, in kg Annual wheat production, in kg Annual wheat production, in kg Annual wheat production, in kg 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 6811 458 105000 257.434 2810.366 Nb of draft oxen or horses Nb of draft oxen or horses Nb of draft oxen or horses Nb of draft oxen or horses Nb of draft oxen or horses See imputation and derivation. 6006 1263 28 1.13 2.053 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 Total nb of cattle heads Total nb of cattle heads Total nb of cattle heads Total nb of cattle heads Total nb of cattle heads See imputation and derivation. 6305 964 521 12.53 26.489 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 Nb of adult cattle heads Nb of adult cattle heads Nb of adult cattle heads Nb of adult cattle heads Nb of adult cattle heads See imputation and derivation. 5916 1353 276 7.155 14.26 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 Nb of small ruminants Nb of small ruminants Nb of small ruminants Nb of small ruminants Nb of small ruminants See imputation and derivation. 6735 534 240 2.992 10.085 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 nb of draft oxen nb of draft oxen nb of draft oxen nb of draft oxen nb of draft oxen See imputation and derivation. 6410 859 25 0.811 1.794 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 nb of horses nb of horses nb of horses nb of horses nb of horses See imputation and derivation. 6410 859 25 0.284 0.912 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 nb of donkeys nb of donkeys nb of donkeys nb of donkeys nb of donkeys See imputation and derivation. 6410 859 1 2 3 4 5 6 7 8 10 11 12 15 Sysmiss 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 nb of young bulls (over 4) nb of young bulls (over 4) nb of young bulls (over 4) nb of young bulls (over 4) nb of young bulls (over 4) See imputation and derivation. 6410 859 90 0.426 2.35 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 nb of cows (over 4) nb of cows (over 4) nb of cows (over 4) nb of cows (over 4) nb of cows (over 4) See imputation and derivation. 6410 859 270 2.015 7.438 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 Nb of young cattle heads (between 2 and 4) Nb of young cattle heads (between 2 and 4) Nb of young cattle heads (between 2 and 4) Nb of young cattle heads (between 2 and 4) Nb of young cattle heads (between 2 and 4) See imputation and derivation. 5800 1469 500 1.008 8.97 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 Nb of porks Nb of porks Nb of porks Nb of porks Nb of porks See imputation and derivation. 6410 859 40 0.475 1.56 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 Nb of poultry Nb of poultry Nb of poultry Nb of poultry Nb of poultry See imputation and derivation. 6410 859 2000 4.803 30.465 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 Nb of Tropical Livestock Unit Nb of Tropical Livestock Unit Nb of Tropical Livestock Unit Nb of Tropical Livestock Unit Nb of Tropical Livestock Unit See imputation and derivation. 6410 859 378.14 3.965 13.777 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. Nb of cattle entered in the herd Nb of cattle entered in the herd Nb of cattle entered in the herd Nb of cattle entered in the herd Nb of cattle entered in the herd 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 4567 2702 86 1.715 5.116 Nb of cattle heads (all ages) purchased Nb of cattle heads (all ages) purchased Nb of cattle heads (all ages) purchased Nb of cattle heads (all ages) purchased Nb of cattle heads (all ages) purchased 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 3760 3509 73 0.831 3.387 Nb of cattle out of the herd Nb of cattle out of the herd Nb of cattle out of the herd Nb of cattle out of the herd Nb of cattle out of the herd 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 4574 2695 429 6.196 15.347 Nb of cattle heads (all ages) sold Nb of cattle heads (all ages) sold Nb of cattle heads (all ages) sold Nb of cattle heads (all ages) sold Nb of cattle heads (all ages) sold 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 3768 3501 140 0.872 4.823 Value of the purchases of cattle (in PPP) Value of the purchases of cattle (in PPP) Value of the purchases of cattle (in PPP) Value of the purchases of cattle (in PPP) Value of the purchases of cattle (in PPP) 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 2920 4349 51194.03 428.669 2031.882 Value of the purchases of oth animals than cattle (in PPP) Value of the purchases of oth animals than cattle (in PPP) Value of the purchases of oth animals than cattle (in PPP) Value of the purchases of oth animals than cattle (in PPP) Value of the purchases of oth animals than cattle (in PPP) 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 3889 3380 8850.746 100.186 330.225 Value of the purchases of all live animals Value of the purchases of all live animals Value of the purchases of all live animals Value of the purchases of all live animals Value of the purchases of all live animals 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 2695 4574 53305.97 532.41 2228.398 Estimation of the value of the herd (valorization with the mean price per animal Estimation of the value of the herd (valorization with the mean price per animal Estimation of the value of the herd (valorization with the mean price per animal Estimation of the value of the herd (valorization with the mean price per animal Estimation of the value of the herd (valorization with the mean price per animal See imputation and derivation. 6410 859 3858555.522 18174.025 112255.92 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 Evolution of food security Evolution of food security Evolution of food security Evolution of food security Evolution of food security 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 5854 1415 1 better 2 the same 3 worse 4 don't know Sysmiss Evolution of quality of foods Evolution of quality of foods Evolution of quality of foods Evolution of quality of foods Evolution of quality of foods 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 5201 2068 1 better 2 the same 3 worse 4 don't know Sysmiss Does the household manage to cover his food expenditures? Does the household manage to cover his food expenditures? Does the household manage to cover his food expenditures? Does the household manage to cover his food expenditures? Does the household manage to cover his food expenditures? 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 3520 3749 1 better 2 Same 3 worse 4 don't know Sysmiss Evolution of quality of health Evolution of quality of health Evolution of quality of health Evolution of quality of health Evolution of quality of health 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 5742 1527 1 the same 2 worse 3 better 4 don't know Sysmiss Does the household manage to cover his schooling expenditures? Does the household manage to cover his schooling expenditures? Does the household manage to cover his schooling expenditures? Does the household manage to cover his schooling expenditures? Does the household manage to cover his schooling expenditures? 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 3331 3938 1 always 2 often 3 sometimes 4 Barely 5 Dont know Sysmiss Evolution of quality of education Evolution of quality of education Evolution of quality of education Evolution of quality of education Evolution of quality of education 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 5616 1653 1 better 2 the same 3 worse 4 don't know 9 12 Sysmiss Type of transportation for farm products Type of transportation for farm products Type of transportation for farm products Type of transportation for farm products Type of transportation for farm products 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) 3478 3791 No Transport Facilities 1 Animal Draft 2 Motorized Sysmiss Access to transport Access to transport Access to transport Access to transport Access to transport 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 7170 99 1 easy the whole year 2 easy only some months of the year 3 difficult 4 don't know Sysmiss Evolution of the quality of accommodation Evolution of the quality of accommodation Evolution of the quality of accommodation Evolution of the quality of accommodation Evolution of the quality of accommodation 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 5781 1488 1 better 2 same 3 worse 4 dont't know Sysmiss Evolution of the quality of access to water Evolution of the quality of access to water Evolution of the quality of access to water Evolution of the quality of access to water Evolution of the quality of access to water 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 5733 1536 1 better 2 the same 3 worse 4 don't know Sysmiss Evolution of incomes Evolution of incomes Evolution of incomes Evolution of incomes Evolution of incomes 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 6584 685 1 better 2 the same 3 worse 4 don't know Sysmiss Evolution of livelihood conditions Evolution of livelihood conditions Evolution of livelihood conditions Evolution of livelihood conditions Evolution of livelihood conditions 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 6532 737 1 better 2 the same 3 worse 4 don't know Sysmiss Income from crops of the HH in PPP Income from crops of the HH in PPP Income from crops of the HH in PPP Income from crops of the HH in PPP Income from crops of the HH in PPP See imputation and derivation. 7269 -15625 594653.731 3254.199 14287.573 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. Income from Livestock of the HH in PPP Income from Livestock of the HH in PPP Income from Livestock of the HH in PPP Income from Livestock of the HH in PPP Income from Livestock of the HH in PPP See imputation and derivation. 7269 -15729.167 165645.625 946.47 4593.122 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 Income from Livestocks (live animals+livestock products) calculated as (Sales+Se Income from Livestocks (live animals+livestock products) calculated as (Sales+Se Income from Livestocks (live animals+livestock products) calculated as (Sales+Se Income from Livestocks (live animals+livestock products) calculated as (Sales+Se Income from Livestocks (live animals+livestock products) calculated as (Sales+Se See imputation and derivation. 1971 5298 -26406.866 108776.716 248.961 4921.889 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 Income from hunting, fishing, etc. of the HH in PPP Income from hunting, fishing, etc. of the HH in PPP Income from hunting, fishing, etc. of the HH in PPP Income from hunting, fishing, etc. of the HH in PPP Income from hunting, fishing, etc. of the HH in PPP 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 7269 -2402.985 11925.373 47.041 380.274 Income from on-farm processing of the HH in PPP Income from on-farm processing of the HH in PPP Income from on-farm processing of the HH in PPP Income from on-farm processing of the HH in PPP Income from on-farm processing of the HH in PPP 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 7269 -893.582 106761.94 233.881 2698.938 On-Farm Income of the HH in PPP On-Farm Income of the HH in PPP On-Farm Income of the HH in PPP On-Farm Income of the HH in PPP On-Farm Income of the HH in PPP See imputation and derivation. 7269 -12421.885 606455.821 4481.591 16442.546 This variable is derived from crops, livestock, fishing, hunting and picking activities, and processing of agricultural products Agricultural wages of the HH in PPP Agricultural wages of the HH in PPP Agricultural wages of the HH in PPP Agricultural wages of the HH in PPP Agricultural wages of the HH in PPP 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 7269 52931.507 405.253 1425.802 Non agricultural wages of the HH in PPP Non agricultural wages of the HH in PPP Non agricultural wages of the HH in PPP Non agricultural wages of the HH in PPP Non agricultural wages of the HH in PPP 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 7269 87500 644.111 2495.14 Income from Self-employment of the HH in PPP Income from Self-employment of the HH in PPP Income from Self-employment of the HH in PPP Income from Self-employment of the HH in PPP Income from Self-employment of the HH in PPP 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 7269 -12352.941 112941.176 998.967 3630.286 Public Transfers of the HH in PPP Public Transfers of the HH in PPP Public Transfers of the HH in PPP Public Transfers of the HH in PPP Public Transfers of the HH in PPP 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 7269 10574.301 72.996 454.687 Remittances of the HH in PPP Remittances of the HH in PPP Remittances of the HH in PPP Remittances of the HH in PPP Remittances of the HH in PPP 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 7269 37813.022 282.465 1397.108 Rents of the HH in PPP Rents of the HH in PPP Rents of the HH in PPP Rents of the HH in PPP Rents of the HH in PPP 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 7269 139583.333 171.801 2787.672 Off-Farm Income of the HH in PPP Off-Farm Income of the HH in PPP Off-Farm Income of the HH in PPP Off-Farm Income of the HH in PPP Off-Farm Income of the HH in PPP See imputation and derivation. 7269 -11580.882 139583.333 2575.593 5743.799 The variable corresponds to the sum of all off-farm incomes sources Global Income of the HH in PPP Global Income of the HH in PPP Global Income of the HH in PPP Global Income of the HH in PPP Global Income of the HH in PPP See imputation and derivation. 7269 6.961 607306.567 7057.184 17610.052 The variable corresponds to the sum of all incomes sources Global annual income in KCal per HH Global annual income in KCal per HH Global annual income in KCal per HH Global annual income in KCal per HH Global annual income in KCal per HH See imputation and derivation. 7269 45405.405 3082016221.277 46515847.318 103333846.034 This variable is derived from all income sources converted in kilo-calories (see methodological annex in the synthesis report) Global annual income in KCal per eqA per day Global annual income in KCal per eqA per day Global annual income in KCal per eqA per day Global annual income in KCal per eqA per day Global annual income in KCal per eqA per day See imputation and derivation. 7269 10.614 1773924.382 26610.75 64401.47 This variable is derived from all income sources converted in kilo-calories and adult equivalents (see methodological annex) Does the household sell products under contract? Does the household sell products under contract? Does the household sell products under contract? Does the household sell products under contract? Does the household sell products under contract? 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 7269 without Contract 1 with Contract Sales of rice in PPP per year Sales of rice in PPP per year Sales of rice in PPP per year Sales of rice in PPP per year Sales of rice in PPP per year 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 7011 258 113509.281 403.354 2709.958 Sales of maize in in PPP per year Sales of maize in in PPP per year Sales of maize in in PPP per year Sales of maize in in PPP per year Sales of maize in in PPP per year 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 7011 258 346537.313 490.027 4955.1 S\ales of wheat in PPP per year S\ales of wheat in PPP per year S\ales of wheat in PPP per year S\ales of wheat in PPP per year S\ales of wheat in PPP per year 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 6973 296 43875 40.81 766.026 Sales of other cereals in PPP per year Sales of other cereals in PPP per year Sales of other cereals in PPP per year Sales of other cereals in PPP per year Sales of other cereals in PPP per year 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 7011 258 258044.776 83.804 3111.642 Sales of cassava in PPP per year Sales of cassava in PPP per year Sales of cassava in PPP per year Sales of cassava in PPP per year Sales of cassava in PPP per year 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 6974 295 39713.844 82.582 993.601 Sales of other staples (excluding potato) in PPP per year Sales of other staples (excluding potato) in PPP per year Sales of other staples (excluding potato) in PPP per year Sales of other staples (excluding potato) in PPP per year Sales of other staples (excluding potato) in PPP per year 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 6974 295 60074.627 151.669 1412.13 Sales of cotton in PPP per year Sales of cotton in PPP per year Sales of cotton in PPP per year Sales of cotton in PPP per year Sales of cotton in PPP per year 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 6974 295 7153.906 26.159 253.984 Sales of groundnut in PPP per year Sales of groundnut in PPP per year Sales of groundnut in PPP per year Sales of groundnut in PPP per year Sales of groundnut in PPP per year 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 6974 295 15606.922 76.466 401.626 Sales of sesame in PPP per year Sales of sesame in PPP per year Sales of sesame in PPP per year Sales of sesame in PPP per year Sales of sesame in PPP per year 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 6974 295 432835.821 78.488 5191.095 Sales of cofffee in PPP per year Sales of cofffee in PPP per year Sales of cofffee in PPP per year Sales of cofffee in PPP per year Sales of cofffee in PPP per year 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 6974 295 107462.687 219.146 3077.262 Sales of sugar canne in PPP per year Sales of sugar canne in PPP per year Sales of sugar canne in PPP per year Sales of sugar canne in PPP per year Sales of sugar canne in PPP per year 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 6974 295 26865.672 37.484 513.243 Sales of tea in PPP per year Sales of tea in PPP per year Sales of tea in PPP per year Sales of tea in PPP per year Sales of tea in PPP per year 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 6974 295 12352.941 4.089 189.083 Sales of sugar beet in PPP per year Sales of sugar beet in PPP per year Sales of sugar beet in PPP per year Sales of sugar beet in PPP per year Sales of sugar beet in PPP per year 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 6974 295 Sysmiss Value of the sales of all crops in PPP per year Value of the sales of all crops in PPP per year Value of the sales of all crops in PPP per year Value of the sales of all crops in PPP per year Value of the sales of all crops in PPP per year See imputation and derivation. 6973 296 604582.09 2869.973 14135.072 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 Value of the sales of cattle (in PPP) Value of the sales of cattle (in PPP) Value of the sales of cattle (in PPP) Value of the sales of cattle (in PPP) Value of the sales of cattle (in PPP) See imputation and derivation. 3110 4159 119402.985 663.509 4375.572 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 Value of the sales of oth animals than cattle (in PPP) Value of the sales of oth animals than cattle (in PPP) Value of the sales of oth animals than cattle (in PPP) Value of the sales of oth animals than cattle (in PPP) Value of the sales of oth animals than cattle (in PPP) See imputation and derivation. 4388 2881 8850.746 121.647 349.693 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 Value of the sales of all live animals Value of the sales of all live animals Value of the sales of all live animals Value of the sales of all live animals Value of the sales of all live animals See imputation and derivation. 2925 4344 119402.985 789.458 4562.089 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 Sales of all staples in PPP per year Sales of all staples in PPP per year Sales of all staples in PPP per year Sales of all staples in PPP per year Sales of all staples in PPP per year See imputation and derivation. 6973 296 604582.09 1429.034 8899.394 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 Sales of all traditional export products in PPP per year Sales of all traditional export products in PPP per year Sales of all traditional export products in PPP per year Sales of all traditional export products in PPP per year Sales of all traditional export products in PPP per year See imputation and derivation. 6974 295 432835.821 441.858 6069.656 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 Sales of all fruit and veg in PPP per year Sales of all fruit and veg in PPP per year Sales of all fruit and veg in PPP per year Sales of all fruit and veg in PPP per year Sales of all fruit and veg in PPP per year See imputation and derivation. 6974 295 298507.463 858.063 7827.033 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 Sales of livestock products (including live animals) in PPP per year Sales of livestock products (including live animals) in PPP per year Sales of livestock products (including live animals) in PPP per year Sales of livestock products (including live animals) in PPP per year Sales of livestock products (including live animals) in PPP per year See imputation and derivation. 7011 258 -2.588 196583.125 1233.573 6428.692 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 Sales of other products in PPP per year Sales of other products in PPP per year Sales of other products in PPP per year Sales of other products in PPP per year Sales of other products in PPP per year See imputation and derivation. 6974 295 112500 140.811 2090.918 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 Self-consumption of rice in PPP per year Self-consumption of rice in PPP per year Self-consumption of rice in PPP per year Self-consumption of rice in PPP per year Self-consumption of rice in PPP per year 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 7011 258 35521.286 295.963 1157.042 Self-consumption of maize in PPP per year Self-consumption of maize in PPP per year Self-consumption of maize in PPP per year Self-consumption of maize in PPP per year Self-consumption of maize in PPP per year 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 7011 258 30000 172.876 632.919 Self-consumption of wheat in PPP per year Self-consumption of wheat in PPP per year Self-consumption of wheat in PPP per year Self-consumption of wheat in PPP per year Self-consumption of wheat in PPP per year 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 6974 295 94562.5 114.899 1578.817 Self-consumption of other cereals than maize, rice and wheat in PPP per year Self-consumption of other cereals than maize, rice and wheat in PPP per year Self-consumption of other cereals than maize, rice and wheat in PPP per year Self-consumption of other cereals than maize, rice and wheat in PPP per year Self-consumption of other cereals than maize, rice and wheat in PPP per year 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 7011 258 35000 194.123 1055.959 Self-consumption of cassava in PPP per year Self-consumption of cassava in PPP per year Self-consumption of cassava in PPP per year Self-consumption of cassava in PPP per year Self-consumption of cassava in PPP per year 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 6974 295 110149.254 61.716 1507.513 Self-consumption of potato in PPP per year Self-consumption of potato in PPP per year Self-consumption of potato in PPP per year Self-consumption of potato in PPP per year Self-consumption of potato in PPP per year 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 6974 295 2570.186 19.022 86.671 Self-consumption of other staples in PPP per year Self-consumption of other staples in PPP per year Self-consumption of other staples in PPP per year Self-consumption of other staples in PPP per year Self-consumption of other staples in PPP per year 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 6974 295 18089.552 145.967 588.251 Self-consumption of all staples in PPP per year Self-consumption of all staples in PPP per year Self-consumption of all staples in PPP per year Self-consumption of all staples in PPP per year Self-consumption of all staples in PPP per year See imputation and derivation. 6974 295 110561.194 1008.084 3026.921 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 Self-consumption of all fruit and veg in PPP per year Self-consumption of all fruit and veg in PPP per year Self-consumption of all fruit and veg in PPP per year Self-consumption of all fruit and veg in PPP per year Self-consumption of all fruit and veg in PPP per year 7269 4850.402 44.133 149.909 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 Self-consumption of all other products in PPP per year Self-consumption of all other products in PPP per year Self-consumption of all other products in PPP per year Self-consumption of all other products in PPP per year Self-consumption of all other products in PPP per year See imputation and derivation. 7269 195000 194.472 2655.468 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 Self-consumption of all livestock products in PPP Self-consumption of all livestock products in PPP Self-consumption of all livestock products in PPP Self-consumption of all livestock products in PPP Self-consumption of all livestock products in PPP See imputation and derivation. 6138 1131 -3074.733 34454.756 194.121 999.49 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 Value of the self-consumption of all crop production in PPP per year Value of the self-consumption of all crop production in PPP per year Value of the self-consumption of all crop production in PPP per year Value of the self-consumption of all crop production in PPP per year Value of the self-consumption of all crop production in PPP per year See imputation and derivation. 6974 295 195000 1256.781 4071.052 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 Value of the self-consumption of all livestock production in PPP per year Value of the self-consumption of all livestock production in PPP per year Value of the self-consumption of all livestock production in PPP per year Value of the self-consumption of all livestock production in PPP per year Value of the self-consumption of all livestock production in PPP per year See imputation and derivation. 6138 1131 -3074.733 34454.756 194.121 999.49 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 Value of the production or rice in PPP per year Value of the production or rice in PPP per year Value of the production or rice in PPP per year Value of the production or rice in PPP per year Value of the production or rice in PPP per year See imputation and derivation. 7011 258 116097.641 699.318 3369.418 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 Value of the production of maize in PPP per year Value of the production of maize in PPP per year Value of the production of maize in PPP per year Value of the production of maize in PPP per year Value of the production of maize in PPP per year See imputation and derivation. 7011 258 346537.313 662.902 5030.393 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 Value of the production of wheat in PPP per year Value of the production of wheat in PPP per year Value of the production of wheat in PPP per year Value of the production of wheat in PPP per year Value of the production of wheat in PPP per year See imputation and derivation. 6973 296 103937.5 155.725 1962.076 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 Value of the production of other cereals in PPP per year Value of the production of other cereals in PPP per year Value of the production of other cereals in PPP per year Value of the production of other cereals in PPP per year Value of the production of other cereals in PPP per year See imputation and derivation. 7011 258 258805.97 277.927 3308.285 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 Value of the production of crops in PPP per year Value of the production of crops in PPP per year Value of the production of crops in PPP per year Value of the production of crops in PPP per year Value of the production of crops in PPP per year See imputation and derivation. 6973 296 611817.91 4126.833 15148.406 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 Costs of crop production in $PPP Costs of crop production in $PPP Costs of crop production in $PPP Costs of crop production in $PPP Costs of crop production in $PPP See imputation and derivation. 6973 296 -255223.881 107500 743.791 6060.211 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 Cost of fertilizers and pesticides in $PPP Cost of fertilizers and pesticides in $PPP Cost of fertilizers and pesticides in $PPP Cost of fertilizers and pesticides in $PPP Cost of fertilizers and pesticides in $PPP See imputation and derivation. 7269 -41.096 107500 972.35 3850.743 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 Value of the sales of all livestock products and livge animals in PPP per year Value of the sales of all livestock products and livge animals in PPP per year Value of the sales of all livestock products and livge animals in PPP per year Value of the sales of all livestock products and livge animals in PPP per year Value of the sales of all livestock products and livge animals in PPP per year See imputation and derivation. 6160 1109 196583.125 1382.725 6843.084 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 Gross Product from Livestock production in PPP per year Gross Product from Livestock production in PPP per year Gross Product from Livestock production in PPP per year Gross Product from Livestock production in PPP per year Gross Product from Livestock production in PPP per year See imputation and derivation. 7269 -3038.235 196583.125 1451.894 6514.89 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 Costs of livestock production in PPP per year Costs of livestock production in PPP per year Costs of livestock production in PPP per year Costs of livestock production in PPP per year Costs of livestock production in PPP per year See imputation and derivation. 7269 108433.582 505.425 3276.61 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 Annual costs of external work on the farm in PPP per year Annual costs of external work on the farm in PPP per year Annual costs of external work on the farm in PPP per year Annual costs of external work on the farm in PPP per year Annual costs of external work on the farm in PPP per year See imputation and derivation. 7269 108433.582 505.425 3276.61 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 Farm Gross Product in PPP per year Farm Gross Product in PPP per year Farm Gross Product in PPP per year Farm Gross Product in PPP per year Farm Gross Product in PPP per year See imputation and derivation. 7269 -2306.265 623287.164 5678.443 18917.162 The variable is derived from season crops, permanent crops and plantations and livestock and fishing, picking, hunting activities, and processing of farm products Sales of products from hunting, fishing and gathering activities in PPP per year Sales of products from hunting, fishing and gathering activities in PPP per year Sales of products from hunting, fishing and gathering activities in PPP per year Sales of products from hunting, fishing and gathering activities in PPP per year Sales of products from hunting, fishing and gathering activities in PPP per year 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 6974 295 12537.313 43.183 396.823 Sales of products from on-farm processing activities in PPP per year Sales of products from on-farm processing activities in PPP per year Sales of products from on-farm processing activities in PPP per year Sales of products from on-farm processing activities in PPP per year Sales of products from on-farm processing activities in PPP per year 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 6974 295 105042.537 214.452 2685.625 Gross product from hunting, fishing and gathering activities in PPP per year Gross product from hunting, fishing and gathering activities in PPP per year Gross product from hunting, fishing and gathering activities in PPP per year Gross product from hunting, fishing and gathering activities in PPP per year Gross product from hunting, fishing and gathering activities in PPP per year 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 7269 12537.313 49.7 411.694 Costs of products from hunting, fishing and gathering activities in PPP per year Costs of products from hunting, fishing and gathering activities in PPP per year Costs of products from hunting, fishing and gathering activities in PPP per year Costs of products from hunting, fishing and gathering activities in PPP per year Costs of products from hunting, fishing and gathering activities in PPP per year 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 7269 3343.284 2.659 80.49 Value of the production of products from on-farm processing activities in PPP pe Value of the production of products from on-farm processing activities in PPP pe Value of the production of products from on-farm processing activities in PPP pe Value of the production of products from on-farm processing activities in PPP pe Value of the production of products from on-farm processing activities in PPP pe 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 7269 106976.866 235.974 2702.498 Value of the costs of products from on-farm processing activities Value of the costs of products from on-farm processing activities Value of the costs of products from on-farm processing activities Value of the costs of products from on-farm processing activities Value of the costs of products from on-farm processing activities 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 7269 2083.333 2.104 47.477 1/ Herfindal Hirshman Index 1/ Herfindal Hirshman Index 1/ Herfindal Hirshman Index 1/ Herfindal Hirshman Index 1/ Herfindal Hirshman Index See imputation and derivation. 7269 -2.22e-16 1 0.227 0.202 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). 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. C1 = value of the First Income Source (in PPP per EqA) C1 = value of the First Income Source (in PPP per EqA) C1 = value of the First Income Source (in PPP per EqA) C1 = value of the First Income Source (in PPP per EqA) C1 = value of the First Income Source (in PPP per EqA) See imputation and derivation. 7269 1 C1 = Agri 2 C1 = Livest 3 C1 = HFG 4 C1 = Transfo 5 C1 = AgWage 6 C1 = NAgWage 7 C1 = SelfEmpl 8 C1 = Transf_Pub 9 C1 = Remit 10 C1 = Rent C1 = value of the First Income Source (in PPP per EqA) see the corresponding SPSS synthax C2 = value of the of the sum of the First and the Second Income Sources (in PPP C2 = value of the of the sum of the First and the Second Income Sources (in PPP C2 = value of the of the sum of the First and the Second Income Sources (in PPP C2 = value of the of the sum of the First and the Second Income Sources (in PPP C2 = value of the of the sum of the First and the Second Income Sources (in PPP See imputation and derivation. 7269 C2 = no second income source 1 C2 = Agri 2 C2 = Livest 3 C2 = HFG 4 C2 = Transfo 5 C2 = AgWage 6 C2 = NAgWage 7 C2 = SelfEmpl 8 C2 = Transf_Pub 9 C2 = Remit 10 C2 = Rent C2 = value of the of the sum of the First and the Second Income Sources (in PPP per EqA) see the corresponding SPSS synthax Typology from WDR08 Typology from WDR08 Typology from WDR08 Typology from WDR08 Typology from WDR08 See imputation and derivation. 7269 1 Farm oriented HH 2 Labor oriented HH 3 Transfer and rents oriented HH 4 Diversified HH Typology from WDR08 see the corresponding SPSS synthax Typology from WDR08 for Farm HH Typology from WDR08 for Farm HH Typology from WDR08 for Farm HH Typology from WDR08 for Farm HH Typology from WDR08 for Farm HH See imputation and derivation. 2977 4292 Subsistence 1 Market oriented Sysmiss Typology from WDR08 see the corresponding SPSS synthax Fine tuned WDR08 typology for Farm HH Fine tuned WDR08 typology for Farm HH Fine tuned WDR08 typology for Farm HH Fine tuned WDR08 typology for Farm HH Fine tuned WDR08 typology for Farm HH See imputation and derivation. 7269 Core Subsistence 1 Market user 2 Market oriented Typology from WDR08 see the corresponding SPSS synthax Fine-tuned typology adjusted from WDR08 Fine-tuned typology adjusted from WDR08 Fine-tuned typology adjusted from WDR08 Fine-tuned typology adjusted from WDR08 Fine-tuned typology adjusted from WDR08 See imputation and derivation. 7269 1 Farm oriented HH 2 Labor oriented HH 3 Transfer and rents oriented HH 4 Diversified HH Typology from WDR08 see the corresponding SPSS synthax Target groups of households Target groups of households Target groups of households Target groups of households Target groups of households See imputation and derivation. 7269 1 Extreme Poors 2 Poors 3 Capacity 4 Better Off see the corresponding SPSS synthax