{"doc_desc":{"title":"MOZ_2015_SHS_v01_EN_M_v01_A_OCS","idno":"DDI_MOZ_2015_SHS_v01_EN_M_v01_A_OCS_FAO","producers":[{"name":"Office of Chief Statistician","abbreviation":"OCS","affiliation":"Food and Agriculture Organization","role":"Adoption of metadata for FAM"},{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"version_statement":{"version":"MOZ_2015_SHS_v01_EN_M_v01_A_OCS_v01"}},"study_desc":{"title_statement":{"idno":"MOZ_2015_SHS_v01_EN_M_v01_A_OCS","title":"Smallholder Household Survey - CGAP, 2015","alt_title":"SHS 2015"},"authoring_entity":[{"name":"Jamie Anderson","affiliation":"The World Bank (GFMGP - CGAP)"}],"production_statement":{"producers":[{"name":"Colleen Learch","affiliation":"InterMedia Survey Institute ","role":"Technical assistance"}]},"distribution_statement":{"contact":[{"name":"Anna Nunan","affiliation":"The World Bank (GFMGP - CGAP)","email":"anunan@worldbank.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"CGAP has been working to build the evidence base on the financial and agricultural lives of smallholder households. This nationally-representative survey of smallholder households collected information on household demographics, poverty status, agricultural activities, income sources and expenses, mobile phones, and informal and formal financial services. The data was used to detail a national picture of the smallholder sector and identify the characteristics of its key segments in a segmentation analysis. To date, CGAP has smallholder household surveys completed or underway in Mozambique, Uganda, Tanzania, Cote d'Ivoire, and Bangladesh."},"study_info":{"topics":[{"topic":"Agriculture & Rural Development","vocab":"FAO","uri":""},{"topic":"Food (production, crisis)","vocab":"FAO","uri":""},{"topic":"Land (policy, resource management)","vocab":"FAO","uri":""},{"topic":"Livestock","vocab":"FAO","uri":""},{"topic":"Access to Finance","vocab":"FAO","uri":""},{"topic":"Payment Systems","vocab":"FAO","uri":""},{"topic":"Financial Sector","vocab":"FAO","uri":""},{"topic":"Community Driven Development","vocab":"FAO","uri":""},{"topic":"Social Development","vocab":"FAO","uri":""},{"topic":"Information & Communication Technologies","vocab":"FAO","uri":""},{"topic":"Trade","vocab":"FAO","uri":""}],"abstract":"The objectives of the Smallholder Household Survey in Mozambique were to:\n\n\u2022 Generate a clear picture of the smallholder sector at the national level, including household demographics, agricultural profile, and poverty status and market relationships; \n\u2022 Segment smallholder households in Mozambique according to the most compelling variables that emerge; \n\u2022 Characterize the demand for financial services in each segment, focusing on customer needs, attitudes and perceptions related to both agricultural and financial services; and,\n\u2022 Detail how the financial needs of each segment are currently met, with both informal and formal services, and where there may be promising opportunities to add value.","coll_dates":[{"start":"2015-07-23","end":"2015-09-04","cycle":""}],"nation":[{"name":"Mozambique","abbreviation":"MOZ"}],"geog_coverage":"National coverage","analysis_unit":"Households","universe":"The universe for the survey consists of smallholder households defined as households with the following criteria: \n1) Household with up to 5 hectares OR farmers who have less than 50 heads of cattle, 100 goats\/sheep\/pigs, or 1,000 chickens\n2) Agriculture provides a meaningful contribution to the household livelihood, income, or consumption.","data_kind":"Sample survey data [ssd]","notes":"The CGAP national surveys of smallholder households used three questionnaires:\n\n1. HOUSEHOLD QUESTIONNAIRE\nRespondent: Head of the household, their spouse, or a knowledgeable adult\nContent:\n\u00b7 Basic information on all household members (e.g. age, gender, education attainment, schooling status) \n\u00b7 Information about household assets and dwelling characteristics in order to derive poverty status.\n\n2. MULTIPLE RESPONDENT QUESTIONNAIRE\nRespondents: All household members over 15 years old who contributed to the household income and\/or participated in its agricultural activities\nContent: \n\u00b7 Demographics (e.g. land size, crop and livestock, decision-making, associations and markets, financial behaviours)\n\u00b7 Agricultural activities (e.g. selling, trading, consuming crops, livestock, suppliers)\n\u00b7 Household economics (e.g., employment, income sources, expenses, shocks, borrowing, saving habits, investments)\n\n3. SINGLE RESPONDENT QUESTIONNAIRE\nRespondent: One randomly-selected adult in the household\nContent: \n\u00b7 Agricultural activities (e.g. market relationships, storage, risk mitigation) \n\u00b7 Household economics (e.g. expense prioritization, insurance, financial outlook)\n\u00b7 Mobile phones (e.g., usage, access, ownership, desire and importance)\n\u00b7 Formal and informal financial tools (e.g.  ownership, usage, access, importance, attitudes toward financial service providers)"},"method":{"data_collection":{"sampling_procedure":"The CGAP smallholder household survey in Mozambique is a nationally-representative survey with a target sample size of 3,000 smallholder households. The sample was designed to provide reliable survey estimates at the national level and for the following regions: \n1. North region, comprised of the provinces of Niassa, Cabo Delgado, and Nampula;\n2. Centre region, comprised of Zambezia, Tete, Maica, and Sofala, Manica; and \n3. South region, consisting of Inhambane, Maputo Province, Maputo City and Gaza.\n\n\n(a) SAMPLING FRAME\n\nThe sampling frame for the smallholder household survey is the 2009-2010 Census of Agriculture and Livestock (Censo Agro-Pecu\u00e1rio, CAP II) conducted by the Mozambique National Statistical Office (INE) and based on the 2007 Census of Population and Housing (2007 RGPH).  CAP II is a large sample that was designed to be representative at the district level and its sample of enumeration areas (EAs) is considered as the master sample; for the national agricultural surveys. EAs with less than 15 agricultural households (mostly in urban areas) were excluded from the sampling frame for CAP II. \n\n(b) SAMPLE ALLOCATION AND SELECTION\n\nIn order to take non-response into account, the target sample size was increased to 3,158 households assuming a household non-response rate of 5% observed in similar national households. The total sample size was first allocated to the three regions based on the number of agricultural households. Within each region, the resulting sample was further distributed proportionally to urban and rural areas. The sample for the smallholder survey is a stratified multistage sample. Stratification was achieved by separating urban and rural areas within each region. Since the CAP II master sample that was used as the sampling frame for the survey is stratified by district, rural and urban areas, the rural strata of the individual districts for the CAP II master sample were collapsed up to the province level, and the same for the urban strata within each province. However, the district was still used as a sorting variable in order to provide implicit stratification by district. At the first sampling stage the CAP II sample EAs were selected systematically with PPS within each district, rural and urban stratum, where the measure of size was the number of agricultural households in the census frame. \n\nThe full description of the sample design can be found in the user guide for this data set.","coll_mode":"Computer Assisted Personal Interview [capi]","weight":"The sample for the smallholder household survey is not self-weighting, therefore sampling weights were calculated. The first component of the weights is the design weight based on the probability of selection for each stage of selection. The second component is the response rate at both household and individual levels. The design weights for households were adjusted for non-response at the household level to produce adjusted household weights. Sampling weights for the multiple respondent data file were derived from adjusted household weights by applying to them non-response rates at the individual level. For the single respondent data file, the same process was applied after considering the sub-sampling done within the household. Finally, household and individual sampling weights were normalized separately at the national level, so the weighted number of cases equals the total sample size. The normalized sampling weights were attached to the different data files and used during analysis.","cleaning_operations":"During data collection, InterMedia received a weekly partial SPSS data file from the field which was analysed for quality control and used to provide timely feedback to field staff while they were still on the ground. The partial data files were also used to check and validate the structure of the data file. The full data file was also checked for completeness, inconsistencies and errors by InterMedia and corrections were made as necessary and where possible."},"analysis_info":{"response_rate":"85.8 percent for single respondent questionnare and  92.5 percent for household questionnaire","sampling_error_estimates":"The sample design for the smallholder household survey was a complex sample design featuring clustering, stratification and unequal probabilities of selection. For key survey estimates, sampling errors considering the design features were produced using either the SPSS Complex Sample module or STATA based on the Taylor series approximation method.","data_appraisal":"Following the finalization of questionnaires, a script was developed using Dooblo to support data collection on smart phones. The script was thoroughly tested and validated before its use in the field."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"https:\/\/microdata.worldbank.org\/index.php\/terms-of-use","required":"yes","form_no":"","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\nAnderson, Jamie. 2016. National Survey and Segmentation of Smallholder Households in Mozambique: Household Level Data. Washington, D.C.: CGAP.","conditions":"Direct access.","disclaimer":"Rights and Permissions This work is available under the Creative Commons Attribution 3.0 Unported license (CC BY 3.0) http:\/\/creativecommons .org\/licenses\/by\/3.0. Attribution-Cite the data as follows: \n\nAnderson, Jamie. 2016. National Survey and Segmentation of Smallholder Households in Mozambique: Household Level Data. Washington, D.C.: CGAP. \n\nLicense: Creative Commons Attribution CC BY 3.0\nAll queries on rights and licenses should be addressed to:\n\nCGAP Publications, \n1818 H Street, NW,\nMSN IS7-700, \nWashington, DC \n20433 \nUSA;\n\ne-mail: cgap@world bank.org."}}},"schematype":"survey"}