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