WLD_2007_RSHS_v01_M
RuralStruc Household Survey 2007-2008
Name | Country code |
---|---|
Kenya | KEN |
Madagascar | MDG |
Mali | MLI |
Mexico | MEX |
Morocco | MAR |
Nicaragua | NIC |
Senegal | SEN |
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).
Sample survey data [ssd]
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.
v2.1: Edited, anonymous dataset for public distribution
2010-06-30
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.
Topic | Vocabulary |
---|---|
Employment | CESSDA |
Demography | CESSDA |
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 universe covered by the study includes rural households and all household members that were selected in the study areas.
Name | Affiliation |
---|---|
RuralStruc Program Coordination Team | World Bank; French Ministry of Foreign and European Affairs; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) |
Name | Affiliation | Role |
---|---|---|
Tegemeo Institute | Egerton University | Producer of the Kenya RuralStruc dataset |
APB Consulting | Producer of the Madagascar RuralStruc dataset | |
Institut d’Économie Rurale | Producer of the Mali RuralStruc dataset | |
Michigan State University | Producer of the Mali RuralStruc dataset | |
Centre de Coopération Internationale en Recherche Agronomique pour le Développement | Producer of the Mali RuralStruc dataset | |
Facultad Latinoamericana de Ciencias Sociales - Mexico | Producer of the Mexico RuralStruc dataset | |
Icon2e | Producer of the Morocco RuralStruc dataset | |
Instituto de Investigación y Desarrollo Nitlapán | Universidad Centroamericana | Producer of the Nicaragua RuralStruc dataset |
Initiative Prospective Agricole et Rurale | Producer of the Senegal RuralStruc dataset |
Name | Role |
---|---|
RuralStruc Multi donor Trust Fund | Funding of the overall RuralStruc Program |
World Bank | Contributor to the RuralStruc Program through World Bank budget, and management of the RuralStruc MDTF |
Agence Française de Développement | Contributor to the RuralStruc MDTF |
French Ministry of Foreign and European Affairs | Contributor to the RuralStruc MDTF and to the RuralStruc Coordination Team |
International Fund for Agricultural Development | Contributor to the RuralStruc MDTF |
French Ministry of Food, Agriculture and Fisheries | Contributor to the RuralStruc MDTF |
Centre de Coopération Internationale en Recherche Agronomique pour le Développement | Contributor to the RuralStruc Coordination Team |
Finnish Ministry of Foreign Affairs | Additional contributor to the RuralStruc Program in Nicaragua |
Swiss Agency for Development and Cooperation | Additional contributor to the RuralStruc Program in Madagascar and Senegal |
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.
The data is unweighted
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.
Start | End | Cycle |
---|---|---|
2007-11-01 | 2008-01-31 | Madagascar |
2008-02-01 | 2008-04-30 | Mali |
2008-02-01 | 2008-03-31 | Nicaragua |
2008-02-01 | 2008-03-31 | Senegal |
2008-03-01 | 2008-03-31 | Mexico |
2008-04-01 | 2008-05-31 | Kenya |
2008-04-01 | 2008-05-31 | Morocco |
Name | Affiliation |
---|---|
Kenya: Egerton University | |
Madagascar: Reseau des Observatoires Ruraux | EPP-PADR |
Mali: Institut d’Économie Rurale | |
Mexico: Grupo de Asesores Unidos S.C. | |
Nicaragua: Nitlapán | Universidad Centroamericana |
Senegal: Association Sénégalaise pour la Promotion du Développement à la Base |
For details on supervision of data collection, the data user should refer to the National Reports of each survey country
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.
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:
(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.
Name |
---|
World Bank |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
---|---|
yes | 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. |
Public use files, accessible to all
Use of the dataset must be acknowledged using a citation which would include:
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].
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.
(c) RuralStruc Surveys
DDI_WLD_2007_RSHS_v02_M
Name | Affiliation | Role |
---|---|---|
World Bank. Africa Region. Sustainable Development Department. Agriculture and Rural Development Unit | World Bank | Producer |
French Ministry of Foreign and European Affairs | Government of France | Producer |
Centre de Coopération Internationale en Recherche Agronomique pour le Développement | Government of France | Producer |
2011-05-15
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)