{"doc_desc":{"title":"RuralStruc Household Survey merged 2007-2008","idno":"DDI_WLD_2007_RSHS_v02_M","producers":[{"name":"World Bank. Africa Region. Sustainable Development Department. Agriculture and Rural Development Unit","abbreviation":"AFTAR","affiliation":"World Bank","role":"Producer"},{"name":"French Ministry of Foreign and European Affairs","abbreviation":"MAEE","affiliation":"Government of France","role":"Producer"},{"name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","abbreviation":"CIRAD","affiliation":"Government of France","role":"Producer"}],"prod_date":"2011-05-15","version_statement":{"version":"DDI Document  - Version 02 - (05\/24\/21)\n 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.\n\n Version 1.0 (May 2011)"}},"study_desc":{"title_statement":{"idno":"WLD_2007_RSHS_v01_M","title":"RuralStruc Household Survey 2007-2008","alt_title":"RSHS 2007-2008"},"authoring_entity":[{"name":"RuralStruc Program Coordination Team","affiliation":"World Bank; French Ministry of Foreign and European Affairs; Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement (CIRAD)"}],"production_statement":{"producers":[{"name":"Tegemeo Institute","affiliation":"Egerton University","role":"Producer of the Kenya RuralStruc dataset"},{"name":"APB Consulting","affiliation":"","role":"Producer of the Madagascar RuralStruc dataset"},{"name":"Institut d\u2019\u00c9conomie Rurale","affiliation":"","role":"Producer of the Mali RuralStruc dataset"},{"name":"Michigan State University","affiliation":"","role":"Producer of the Mali RuralStruc dataset"},{"name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","affiliation":"","role":"Producer of the Mali RuralStruc dataset"},{"name":"Facultad Latinoamericana de Ciencias Sociales - Mexico","affiliation":"","role":"Producer of the Mexico RuralStruc dataset"},{"name":"Icon2e","affiliation":"","role":"Producer of the Morocco RuralStruc dataset"},{"name":"Instituto de Investigaci\u00f3n y Desarrollo Nitlap\u00e1n","affiliation":"Universidad Centroamericana","role":"Producer of the Nicaragua RuralStruc dataset"},{"name":"Initiative Prospective Agricole et Rurale","affiliation":"","role":"Producer of the Senegal RuralStruc dataset"}],"copyright":"(c) RuralStruc Surveys","funding_agencies":[{"name":"RuralStruc Multi donor Trust Fund","abbreviation":"RuralStruc MDTF","role":"Funding of the overall RuralStruc Program"},{"name":"World Bank","abbreviation":"","role":"Contributor to the RuralStruc Program through World Bank budget, and management of the RuralStruc MDTF"},{"name":"Agence Fran\u00e7aise de D\u00e9veloppement","abbreviation":"AFD","role":"Contributor to the RuralStruc MDTF"},{"name":"French Ministry of Foreign and European Affairs","abbreviation":"MAEE","role":"Contributor to the RuralStruc MDTF and to the RuralStruc Coordination Team"},{"name":"International Fund for Agricultural Development","abbreviation":"FIDA","role":"Contributor to the RuralStruc MDTF"},{"name":"French Ministry of Food, Agriculture and Fisheries","abbreviation":"MAP","role":"Contributor to the RuralStruc MDTF"},{"name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","abbreviation":"CIRAD","role":"Contributor to the RuralStruc Coordination Team"},{"name":"Finnish Ministry of Foreign Affairs","abbreviation":"","role":"Additional contributor to the RuralStruc Program in Nicaragua"},{"name":"Swiss Agency for Development and Cooperation","abbreviation":"SDC","role":"Additional contributor to the RuralStruc Program in Madagascar and Senegal"}],"grant_no":"TF054027"},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]","series_info":"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)."},"version_statement":{"version":"v2.1: Edited, anonymous dataset for public distribution","version_date":"2010-06-30"},"study_info":{"topics":[{"topic":"Employment","vocab":"CESSDA","uri":""},{"topic":"Demography","vocab":"CESSDA","uri":""}],"abstract":"The study includes a merged core data file from the 7 country RuralStruc surveys conducted in 2007-2008.","coll_dates":[{"start":"2007-11-01","end":"2008-01-31","cycle":"Madagascar"},{"start":"2008-02-01","end":"2008-04-30","cycle":"Mali "},{"start":"2008-02-01","end":"2008-03-31","cycle":"Nicaragua"},{"start":"2008-02-01","end":"2008-03-31","cycle":"Senegal"},{"start":"2008-03-01","end":"2008-03-31","cycle":"Mexico"},{"start":"2008-04-01","end":"2008-05-31","cycle":"Kenya"},{"start":"2008-04-01","end":"2008-05-31","cycle":"Morocco"}],"nation":[{"name":"Kenya","abbreviation":"KEN"},{"name":"Madagascar","abbreviation":"MDG"},{"name":"Mali","abbreviation":"MLI"},{"name":"Mexico","abbreviation":"MEX"},{"name":"Morocco","abbreviation":"MAR"},{"name":"Nicaragua","abbreviation":"NIC"},{"name":"Senegal","abbreviation":"SEN"}],"geog_coverage":"Areas covered in the data are selected rural areas in the following regions:\n\n- in Kenya: Bungoma, Nakuru North, Nyando\n\n- in Madagascar: Alaotra, Antsirabe, Itasy, Morondava\n\n- in Mali: Diema, Koutiala, Macina, Tominian\n\n- in Mexico: Tequisquiapan (Queretaro), Sotavento (Veracruz)\n\n- in Morocco: Chaouia, Saiss, Souss\n\n- in Nicaragua: El Cua, El Viejo, La Libertad, Muy Muy, Terrabona\n\n- in Senegal: Casamance, Mekhe, Nioro, Senegal River Delta.\n\nFor more detailed information on geographic coverage, data users can refer to the RuralStruc National Reports.","geog_unit":"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.\n\nThis was the case in:\n\n- Madagascar, where Alaotra and Antsirabe regions were divided in two zones (1 and 2)\n\n- Mexico, where the Sotavento region was divided in two zones (Terras Bajas and Sierra Santa Marta)\n\n- Senegal, where Mekhe and Senegal River Delta were divided in two zones (1 and 2).\n\nFor detailed information on the rationale corresponding to the definition of each zone, the data users can refer to the National Reports.","analysis_unit":"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 \u201crural\u201d is, its characterization varying between countries. The Program National teams considered the following definitions for rural housholds:\n\n-Kenya: \"The household was defined as a family living together, eating together, and making farming and other household decisions as a unit\"'\n\n-Madagascar\u00a0:\" Le m\u00e9nage est un ensemble de personnes avec ou sans lien de parent\u00e9, vivant sous le m\u00eame toit ou dans la m\u00eame concession, prenant leur repas ensemble ou par petits groupes, mettant une partie ou la totalit\u00e9 de leurs revenus en commun pour la bonne marche du groupe, et d\u00e9pendant du point de vue des d\u00e9penses d'une m\u00eame autorit\u00e9 appel\u00e9e chef de m\u00e9nage \u00bb, le chef de m\u00e9nage \u00e9tant la personne reconnue comme tel par l\u2019ensemble des membres du m\u00e9nage\".\n\n-Mali\u00a0: \"La Loi d\u2019Orientation Agricole (LOA), dans ses articles 10 \u00e0 28, d\u00e9finit ce que sont les exploitations agricoles au Mali. \u00ab L\u2019exploitation agricole est une unit\u00e9 de production dans laquelle l\u2019exploitant et\/ou ses associ\u00e9s mettent en oeuvre un syst\u00e8me de production agricole. Elles sont class\u00e9es en deux cat\u00e9gories : l\u2019exploitation agricole familiale et l\u2019entreprise agricole. L\u2019exploitation agricole familiale est constitu\u00e9e d\u2019un ou de plusieurs membres unis librement par des liens de parent\u00e9 ou des us et coutumes et exploitant en commun les facteurs de production en vue de g\u00e9n\u00e9rer des ressources sous la direction d\u2019un des membres, d\u00e9sign\u00e9 chef d\u2019exploitation, qu\u2019il soit de sexe masculin ou f\u00e9minin. Le chef d\u2019exploitation assure la ma\u00eetrise d\u2019oeuvre et veille \u00e0 l\u2019exploitation optimale des facteurs de production. Il exerce cette activit\u00e9 \u00e0 titre principal et repr\u00e9sente l\u2019exploitation dans tous les actes de la vie civile. Sont reconnus comme exer\u00e7ant un m\u00e9tier Agricole, notamment, les agriculteurs, \u00e9leveurs, p\u00eacheurs, exploitants forestiers\".\n\n-Maroc\u00a0: \"L\u2019unit\u00e9 m\u00e9nage renvoie au groupe domestique qui est d\u00e9fini comme une unit\u00e9 de r\u00e9sidence, de production et de consommation. Le plus souvent, le groupe domestique a pour noyau une famille, \u00e0 laquelle peuvent s\u2019ajouter des parents \u00e9loign\u00e9s ou des \u00ab \u00e9trangers \u00bb. Il peut aussi se composer de plusieurs familles nucl\u00e9aires comme il peut rassembler des personnes sans aucun lien de parent\u00e9\".\n\n-Mexico\u00a0: \"El Instituto Nacional de Estad\u00edstica Geograf\u00eda e Inform\u00e1tica (INEGI) usa el concepto de localidad que define como \u201ctodo lugar ocupado por una vivienda o conjunto de viviendas, de las cuales al menos una est\u00e1 habitada. El lugar es reconocido com\u00fanmente por un nombre dado por la ley o la costumbre\u201d, y por otro considera que una localidad es rural cuando tiene menos de 2 500 habitantes. El INEGI define tambi\u00e9n en concepto de hogar como una \u201cunidad dom\u00e9stica [que] hace referencia a una organizaci\u00f3n 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 com\u00fan la reproducci\u00f3n de la vida cotidiana a partir de un presupuesto com\u00fan para la alimentaci\u00f3n, independientemente de que se dividan otros gastos\u201d.\n\n-Nicaragua\u00a0: \"Se define hogar como el n\u00famero de personas comparten una olla com\u00fan. Un hogar puede estar compuesto de una o m\u00e1s familias. La definici\u00f3n oficial en Nicaragua de rural es aquel territorio que \u201ccomprenden los poblados de menos de 1000 habitantes que no re\u00fanen las condiciones urban\u00edsticas m\u00ednimas indicadas y la poblaci\u00f3n dispersa.\u201d INEC, 2007\".\n\n-Senegal\u00a0: \"Le rural se d\u00e9finit par opposition \u00e0 l\u2019urbain, constitu\u00e9 par les villes et les communes, m\u00eame \u00e0 dominance rurale. Au S\u00e9n\u00e9gal, les populations d\u2019une commune sont de facto consid\u00e9r\u00e9es comme des urbains ; or, plusieurs communes sont compos\u00e9es \u00e0 plus de la moiti\u00e9 par des agriculteurs. Le m\u00e9nage rural se d\u00e9finit comme un groupe familial r\u00e9sidant en milieu rural au sein duquel s\u2019organisent la production agricole et\/ou non agricole, la pr\u00e9paration et la consommation des repas. Traditionnellement, le m\u00e9nage rural se confond avec le m\u00e9nage agricole ; toutefois, on note de plus en plus que la nourriture du m\u00e9nage rural provient de moins en moins de la production ou des revenus tir\u00e9s de l\u2019agriculture au sens large : production agricole, \u00e9levage, p\u00eache et foresterie. L\u2019unit\u00e9 familiale de production et de consommation16 ne co\u00efncide pas forc\u00e9ment avec l\u2019unit\u00e9 de r\u00e9sidence, ker en wolof ou galle en pulaar\".\n\nFor 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.","universe":"The universe covered by the study includes rural households and all household members that were selected in the study areas.","data_kind":"Sample survey data [ssd]","notes":"The scope coverred by the RuralSturc Surveys includes:\n\n- 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.\n\n- 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). \n\n- On-farm activities: crops, livestock, fishing, hunting and gathering activities, processing on-farm of vegetal and animal products, market integration and contractualization issues.\n\n- 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.\n\n- 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."},"method":{"data_collection":{"data_collectors":[{"name":"Kenya: Egerton University","abbreviation":"","affiliation":""},{"name":"Madagascar: Reseau des Observatoires Ruraux","abbreviation":"ROR","affiliation":"EPP-PADR"},{"name":"Mali: Institut d\u2019\u00c9conomie Rurale","abbreviation":"IER","affiliation":""},{"name":"Mexico: Grupo de Asesores Unidos S.C.","abbreviation":"GAUSSC REDES","affiliation":""},{"name":"Nicaragua: Nitlap\u00e1n","abbreviation":"Nitlapan","affiliation":"Universidad Centroamericana"},{"name":"Senegal: Association S\u00e9n\u00e9galaise pour la Promotion du D\u00e9veloppement \u00e0 la Base","abbreviation":"ASPRODEB","affiliation":""}],"sampling_procedure":"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. \nThe first step was the selection of the localities to be surveyed, with consideration of regions' characteristics and national team expertise. \nThe second step was the sampling itself, which was based on existing census lists or intentionally prepared locality household lists. \nThen, households were selected at random, targeting a sufficient number of households per locality allowing representativeness at local level.\n\nIn 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.","coll_mode":"Face-to-face [f2f]","research_instrument":"The merged dataset was constructed from variables extracted from national datasets.  \n\nFor details on questions relating to these variables, see the attached questionnaires for each country survey. \nEach country questionnaire was derived and adapted from a questionnaire template which was designed collectively by the RuralStruc Program Coordination team and the national teams.\n\nThe original page and question numbers for each variable is included in the variable descriptions.","coll_situation":"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.\n\nEvery RuralStruc National team organized specific training of enumerators and conducted a pilot to test the survey instrument.\n\nThe interviews were always conducted in the interviewed person's mother tongue.\n\nDue 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).\n\nFor more details on data collection, the data user should refer to the National Reports of each survey country.","act_min":"For details on supervision of data collection, the data user should refer to the National Reports of each survey country","weight":"The data is unweighted","cleaning_operations":"Secondary editing of the data in this core dataset included:\n\n(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:\n- Kenya: 34 Kenyan Shilling\n- Madagascar: 758.7 Ariary\n- Mali: 239.6 CFA Franc\n- Mexico: 7.3 Mexican Peso\n- Morocco: 4.8 Dirham\n- Nicaragua: 6.7 Cordoba\n- Senegal: 258.6 CFA Franc\n\n(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).\nThe 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.\n\n(iii) Recoding of the geographical component of the household identifier\n\n\nFor more details on data editing, the data user should refer to the variable descriptions."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"All users of this dataset should undertake:\n\n1. 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.\n\n2. 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.\n\n3. 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\nanalysis will be immediately brought to the attention of the data depositor.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"World Bank","affiliation":"","email":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and  year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nRuralStruc Program Coordination Team. RuralStruc Household Survey (RSHS) 2007-2008. Ref. WLD_2008_RSHS_v01_M. Dataset downloaded from http:\/\/microdata.worldbank.org on [date].","conditions":"Public use files, accessible to all","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}