{"type":"survey","doc_desc":{"title":"Ghana - Comprehensive Food Security and Vulnerability Analysis Assessment 2009","idno":"DDI_GHA_2008_CFSVA_v01_M","producers":[{"name":"Amit Wadhwa","abbreviation":"AW","affiliation":"WFP","role":"Data Archivist"},{"name":"World Bank Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":""}],"prod_date":"2009-08-26","version_statement":{"version":"Version 1.1 (26 August 2009)\n\nStudy ID edited for internal use at the World Bank (3 February 2014)"}},"study_desc":{"title_statement":{"idno":"GHA_2008_CFSVA_v01_M","title":"Comprehensive Food Security and Vulnerability Analysis Assessment 2008","alt_title":"CFSVA 2008"},"authoring_entity":[{"name":"World Food Programme","affiliation":"United Nations"}],"production_statement":{"producers":[{"name":"World Health Organization","affiliation":"","role":"Technical assistance"},{"name":"Ghana Statistical Service","affiliation":"","role":"Knowledge support"},{"name":"Ghana Ministry of Food and Agriculture","affiliation":"","role":"Knowledge support"},{"name":"Ghana Ministry of Economic and Social Welfare","affiliation":"","role":"Knowledge support"},{"name":"Ghana Ministry of Health\/Nutrition Unit","affiliation":"","role":"Knowledge support"}],"copyright":"\u00a9 World Food Programme, Vulnerability Analysis and Mapping Branch (VAM)","prod_date":"2009-04-22","funding_agencies":[{"name":"Bill and Melinda Gates Foundation","abbreviation":"Gates","role":"Financial support"},{"name":"Department for International Development","abbreviation":"DFID","role":"Financial support"},{"name":"World Health Organization","abbreviation":"WHO","role":"Financial support"}]},"distribution_statement":{"contact":[{"name":"Vulnerability Analysis and Mapping","affiliation":"World Food Programme","email":"wfp.vaminfo@wfp.org","uri":"http:\/\/www.wfp.org\/food-security"}]},"series_statement":{"series_name":"Comprehensive Food Security & Vulnerability Analysis [hh\/cfsva]","series_info":"The CFSVA process generates a document that describes the food security status of various segments of a population over various parts of a country or region, analyses the underlying causes of vulnerability, and recommends appropriate interventions to deal with the problems. CFSVAs are undertaken in all crisis-prone food-insecure countries. The shelf life of CFSVAs is determined by the indicators being collected and reported. In most situations, CFSVA findings are valid for three to five years, unless there are drastic food security changes in the meantime."},"version_statement":{"version_date":"2009-05-31"},"study_info":{"abstract":"The primary aim of the Comprehensive Food Security and Vulnerability Analysis (CFSVA) in Ghana is to provide much needed baseline information on the food security, health and nutrition situation in the entire country at sub-national and agro-ecological level in both, rural and urban areas.\n\nThis baseline study is meant to inform and guide WFP's and its partners' programming - most importantly that of the newly inaugurated government - mandated to address food insecurity and its underlying causes. It is meant to serve as a tool with a potential to refine the implementations of GPRS II, the UNDAF and similar future development frameworks that aim to achieve the Millennium Development Goals (MDG). The survey provides reliable, comprehensive and multi-sectoral information that should assist in strengthening targeting, identifying priority areas for interventions, etc.\n\nSpecifically, the CFSVA is intended to:\n\n\u00b7 Assess levels of household food insecurity in ten administrative regions, three agroecological zones and in urban and rural areas while focusing on the following questions:\n     \u00b7 Who are the food insecure people?\n     \u00b7 Where do they live?\n     \u00b7 Why are they food insecure?\n     \u00b7 How and what type of external assistance play a role in improving the food insecurity situation?\n\n\u00b7 Identify the main livelihoods in the country and analyse their contribution to food security at regional, agro-ecological, rural and urban level, and analyse households' capacity to withstand future shocks and problems;\n\n\u00b7 Assess households and communities' dependence on markets and the impact increasing food prices have had and are expected to have on their lives and livelihoods;\n\u00b7 Assess the prevalence and distribution of malnutrition among children and mothers and define the relationship between food insecurity and malnutrition by determining whether the underlying reasons for prevailing child malnutrition are consumption or health related;\n\n\u00b7 Determine which populations or regions of the country are most vulnerable to poor health outcomes;\n\n\u00b7 Identify key indicators to be captured in the already operational Food Security Monitoring System to detect changes and trends in food security and vulnerability situation over time.","coll_dates":[{"start":"2008-10-30","end":"2008-12-01","cycle":""}],"nation":[{"name":"Ghana","abbreviation":"GHA"}],"geog_coverage":"National coverage","analysis_unit":"Surveys were conducted at the community and household level for analysis at sub-national and agro-ecological level in both, rural and urban areas.","universe":"The sample universe for this study was all residents of the household\n\nA household is defined as a group of people currently eating from the same pot \"under the same roof\" (or in same compound if the household has more than one structure).","data_kind":"Sample survey data [ssd]","notes":"The scope of the analysis includes:\n\nHOUSEHOLD: Demographics, education, migration, housing, facilities, assets, agriculture, access to markets, income sources, access to credit, expenditure, food consumption, food sources, shocks, risks, coping, assistance\n\nWOMEN (from the household questionnaire): Pregnancy status, healthcare status, height, weight\n\nCHILDREN under 5 (from the household questionnaire): Health status, height, weight, birth information, breastfeeding information, food consumption\n\nCOMMUNITY: Village demographics, socioeconomic information, infrastructure, migration, food security, health programs, healthcare access, water access, education, external assistance, shocks, emergency preparedness","study_scope":"The scope of the analysis includes:\n\nHOUSEHOLD: Demographics, education, migration, housing, facilities, assets, agriculture, access to markets, income sources, access to credit, expenditure, food consumption, food sources, shocks, risks, coping, assistance\n\nWOMEN (from the household questionnaire): Pregnancy status, healthcare status, height, weight\n\nCHILDREN under 5 (from the household questionnaire): Health status, height, weight, birth information, breastfeeding information, food consumption\n\nCOMMUNITY: Village demographics, socioeconomic information, infrastructure, migration, food security, health programs, healthcare access, water access, education, external assistance, shocks, emergency preparedness"},"method":{"data_collection":{"data_collectors":[{"name":"Ghana Statistical Service","abbreviation":"GSS","affiliation":""}],"sampling_procedure":"The CFSVA sampling strategy aimed at providing sufficiently precise estimates of several key food security indicators for all rural regions, as well as Urban Accra, and all other urban areas together in one domain.  \n\nAs a CFSVA aims to provide estimates of many different indicators, no single indicator can guide sample size requirements.  Therefore, when calculating minimal sample size, an assumed prevalence of 50% was used, this yields the largest sample sized for a required precision.  A design effect of 2 was assumed (food security indicators typically used in similar CFSVAs usually have design effects ranging from near 1 to 4).  95% confidence is always used, with intervals of +\/- 8%.  Following the standard sample size calculation for estimating prevalences, this yields a sample of approximately 260 households per domain.  Where possible, larger samples were taken to increase precision.  \n\nDue to the time and cost limitations of drawing a new accurate sample, it was decided to 'piggy-back' on the existing sample already drawn for the on-going DHS survey.  The DHS sample is a 2-stage cluster sample, with the following sample distribution:\n\nGhana DHS 2008 cluster numbers by region (urban and rural)\t\nRegion\tUrban\tRural\tTotal\t\nWestern\t15\t24\t39\t\nCentral\t13\t21\t34\t\nGt. Accra\t53\t7\t60\t\nVolta\t10\t25\t35\t\nEastern\t16\t27\t43\t\nAshanti\t36\t31\t67\t\nBrong Ahafo\t16\t22\t38\t\nNorthern\t11\t27\t38\t\nUpper East\t5\t23\t28\t\nUpper West\t7\t23\t30\t\nTotal\t182\t230\t412\n\t\nThe clusters used throughout the country are 'Enumeration Areas', or EAs.  At the time of the CFSVA, Ghana Statistical Services had already recently drawn up this sample, complete with household listings for each selected EA (cluster).  Rather than draw a new sample, a sub-sample of this was taken for the CFSVA.   In this sub-sample, all rural clusters selected for the DHS were maintained in the CFSVA sample, and a sub-set of urban clusters were randomly selected from the DHS sample in each of the regions for inclusion in the CFSVA (thus maintaining the PPS selection of clusters).  This resulted in a non-self-weighting sample, so probability weights were used in analysis to account for this. \n\nOnce the clusters were selected this way, it was decided to select 12 households per cluster to allow for sufficient total sample size per domain, while allowing for enumerator teams (consisting of 1 team leader and 4 enumerators) to complete, on average, one cluster per day.   This also yielded at least 260 households per strata (or just under, and with the exception of rural Accra).  As GSS has previously conducted a complete listing for all EAs in the DHS, they were able to randomly select 12 households per cluster (with 3 additional replacement households if one or more of the 12 were unavailable).  The enumerator teams were supplied with maps of the EAs and the locations of the households and the names of the household heads.  \n\nThis resulted in the final sample, by domain:\n\nDomain\tClusters\tHouseholds (planned)\tHouseholds (actually sampled)\tNumber of these that were replacement households\t\nWestern Rural\t24\t288\t288\t38\t\nCentral Rural\t21\t252\t252\t37\t\nGt. Accra Rural\t7\t84\t84\t19\t\nVolta rural\t25\t300\t299\t56\t\nEastern rural\t27\t324\t324\t55\t\nAshanti rural\t31\t372\t372\t59\t\nBrong Ahafo rural\t22\t264\t264\t38\t\nNorthern rural\t27\t324\t324\t43\t\nUpper East rural\t23\t276\t276\t27\t\nUpper West rural\t23\t276\t276\t17\t\nUrban Accra\t42\t504\t504\t129\t\nUrban Other\t49\t588\t588\t103\t\nTotal\t321\t3852\t3851\t621\t\n\nIt should be noted here that Rural Accra has well below the goal of 260 households for that strata.  Due to the very small rural population in that Region, and the fact that the DHS only had 7 rural clusters selected, it was decided that a sample yielding very low precision would be acceptable for that region.  \n\nIn each cluster, an attempt to give the households an advance notice was made wherever possible, particularly in urban areas.  Additionally, enumerators were instructed to make multiple re-visits (within the same day of visit to the EA) in order to try to capture the selected households.  However, as can be noted from the table above, there was a high number of replacement households (overall, 16% of the sample) particularly in urban areas (21% of urban households and 14% of rural households).  This could result in some bias if the absent\/unreachable households were different than the randomly selected replacements.  \n\nAdditional geographic reporting strata included urban\/rural, and ecological zone.  A probability weights were used in the analysis to compensate for the unequal selection probabilities throughout the country, the sample was representative for any geographic division, and the sample size allowed for sufficient precision within these alternative stratifications.  \n\nFor nutrition indicators of children under 5, it was determined that the sample size would be too low to yield sufficiently precise estimates.  Therefore, it was decided to aggregate the nutrition estimates at the zonal level and urban\/rural for the majority of the analyses.  In all households selected, all children under 5 were selected to be weighted and measured, as well as all women between 15 to 49 years old (pregnant women were not weighed and measured). Further discussion of the nutrition sample is presented in the nutrition data annex.  For the community questionnaire, one questionnaire was administered in each EA (cluster).","coll_mode":"Face-to-face [f2f]","research_instrument":"The questionnaires had been pilot tested prior to the training and were pilot tested again by each of the enumerators as part of the training.  WHO was particularly involved in the design and analysis of the health and nutrition related aspects of the survey. \n\n01 - Household Questionnaire - The household questionnaire was designed to collect quantitative data in 10 areas: (1) demographics and education, (2) migration information, (3) housing, facilities, and assets, (4) agriculture and access to market, (5) income sources and access to credit, (6) expenditure, (7) food consumption and sources, (8) shocks, risks and coping, (9) assistance, and (10) woman and child health and nutrition\n\n02 - Community Questionnaire - The community questionnaire was structured, open ended and designed to collect qualitative information on (1) demographics, (2) socioeconomic information and infrastructure, (3) working population migration, (4) food security, (5) health, (6) education, (7) external assitance, (8) past event \/ shock identification, and (9) emergency preparedness.  The community questionnaire was intended to contextualize the information collected at the household level. The resulting instrument was a structured, open-ended questionnaire. Response options were not systematically provided to the enumerators. Rather, the enumerators were asked to record exactly what respondents had to say.","coll_situation":"An eight-day training for enumerators took place from 20 to 28 October 2008 during which eighty-three enumerators were trained in the administration of the data collection tools and measurement of anthropometrics. The questionnaires had been pilot tested prior to the training and were pilot tested again by each of the enumerators as part of the training.  Seventy-five trainees were selected for the data collection exercise, based on best performance during the pilot, participation in the class-room training and the result of a one-hour written test. \n\nFifteen teams were created each of which consisted of one team leader and four enumerators. In each Enumeration Area one community interview was carried out with a maximum of ten and minimum of three randomly selected key informants (i.e. chief, village nurse, extension officer, traditional healers, teachers, etc.) and twelve questionnaires were administered with heads of randomly, pre-selected selected households. \n\nBy the end of the data collection exercise, 321 communities and 3,851 households had been interviewed. Anthropometric measurements (weights, heights) were taken from 2,231 children between 0-59 months and of 4,069 women between 15 to 49 years (reproductive age).","act_min":"World Food Programme","weight":"Probability weights were used in analysis to compensate for unequal selection probabilities.  At the household level, these weights were based on the 2000 census population data.  For the child and mother data, specific weights were calculated based on the 2000 census data for these populations.  All analysis is weighted unless otherwise specified.  All reported sample sizes are unweighted.","cleaning_operations":"The data entry masque (CSPRO) for both, the household and community questionnaire, were developed by the GSS and reviewed by the WFP RB and WHO. Data entry started one week before the completion of the data collection. GSS data entry clerks double entered every household and community questionnaire. Qualitative data from the community questionnaire were directly inputted into the database which was then shared with WHO for coding. Data entry took 30 days. The GSS carried out some preliminary data cleaning, transferred the data into SPSS and shared the database with WFP RB for analysis.","method_notes":"Analysis was carried out primarily with SPSS 16.  Addawin was used for the livelihood cluster analysis."}},"data_access":{"dataset_use":{"contact":[{"name":"","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 acronym and year of implementation)\n- the survey reference number\n- the source and date of download","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."}}},"data_files":[{"file_id":"F1","file_name":"Household","description":"This file contains data for the Household questionnaire.","case_count":"0","var_count":"500","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"Child","description":"This 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household have more, the same or less debt to repay than last year at this time?","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Less now","stats":null,"type":null},{"value":"2","labl":"Same now","stats":null,"type":null},{"value":"3","labl":"More now","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V307","name":"s6q0a","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1425","var_end_pos":"1432","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on maize, millet (A)","var_qstn_qstnlit":"Estimated expenditure during the last month on maize, millet, including both cash and credit (GH\u00a2).","var_val_range":[{"units":"REAL","min":"0","max":"800"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V308","name":"s6q0b","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1433","var_end_pos":"1440","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on cassava, gari (B)","var_qstn_qstnlit":"Estimated expenditure during the last month on cassava, gari, including both cash and credit (GH\u00a2).","var_val_range":[{"units":"REAL","min":"0","max":"6010"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V309","name":"s6q0c","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1441","var_end_pos":"1448","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on Other root and tubers (C)","var_qstn_qstnlit":"Estimated expenditure during the last month on Other root and tubers, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"350"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V310","name":"s6q0d","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1449","var_end_pos":"1456","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on plantain (D)","var_qstn_qstnlit":"Estimated expenditure during the last month on plantain, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"700"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V311","name":"s6q0e","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1457","var_end_pos":"1464","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on wheat flour and other grains (E","var_qstn_qstnlit":"Estimated expenditure during the last month on wheat flour and other grains, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"150"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V312","name":"s6q0f","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1465","var_end_pos":"1472","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on rice (F)","var_qstn_qstnlit":"Estimated expenditure during the last month on rice, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"750"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V313","name":"s6q0g","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1473","var_end_pos":"1480","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on fresh vetables and fruits (G)","var_qstn_qstnlit":"Estimated expenditure during the last month on vetables and fruits , including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"400"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V314","name":"s6q0h","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1481","var_end_pos":"1488","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on fish (H)","var_qstn_qstnlit":"Estimated expenditure during the last month on fish, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"1200"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V315","name":"s6q0i","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1489","var_end_pos":"1496","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on meat (I)","var_qstn_qstnlit":"Estimated expenditure during the last month on meat, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"300"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V316","name":"s6q0j","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1497","var_end_pos":"1504","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on oil\/butter (J)","var_qstn_qstnlit":"Estimated expenditure during the last month on oil\/butter, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"528"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V317","name":"s6q0k","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1505","var_end_pos":"1512","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on alcohol and tobacco (K)","var_qstn_qstnlit":"Estimated expenditure during the last month on alcohol and tobacco, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"1010"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V318","name":"s6q0l","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1513","var_end_pos":"1520","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on meals outside home (L)","var_qstn_qstnlit":"Estimated expenditure during the last month on meals outside home, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"300"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V319","name":"s6q0m","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1521","var_end_pos":"1528","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on communication (M)","var_qstn_qstnlit":"Estimated expenditure during the last month on communication, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"900"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V320","name":"s6q0n","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1529","var_end_pos":"1536","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on soap\/detergent (N)","var_qstn_qstnlit":"Estimated expenditure during the last month on soap\/detergent, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"600"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V321","name":"s6q0o","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1537","var_end_pos":"1544","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past month on transport (O)","var_qstn_qstnlit":"Estimated expenditure during the last month on transport, including both cash and credit (GH\u00a2)","var_val_range":[{"units":"REAL","min":"0","max":"6720"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V322","name":"s6q1a","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1545","var_end_pos":"1552","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on farming equipment (A)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Farming equipment, tools, seeds","var_val_range":[{"units":"REAL","min":"0","max":"7000"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V323","name":"s6q1b","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1553","var_end_pos":"1560","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on hiring labour (B)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Hiring labour","var_val_range":[{"units":"REAL","min":"0","max":"4000"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V324","name":"s6q1c","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1561","var_end_pos":"1568","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on health\/medical (C)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Health\/Medical expenses","var_val_range":[{"units":"REAL","min":"0","max":"6000"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V325","name":"s6q1d","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1569","var_end_pos":"1576","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on education (D)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Education (school fees\/uniforms)","var_val_range":[{"units":"REAL","min":"0","max":"7512"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V326","name":"s6q1e","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1577","var_end_pos":"1584","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on clothing (E)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Clothing, shoes","var_val_range":[{"units":"REAL","min":"0","max":"3000"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V327","name":"s6q1f","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1585","var_end_pos":"1592","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on vetenary (F)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Vet. expenses for farm animals","var_val_range":[{"units":"REAL","min":"0","max":"420"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V328","name":"s6q1h","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1593","var_end_pos":"1600","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on social events (H)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Celebrations, social events, funerals, weddings","var_val_range":[{"units":"REAL","min":"0","max":"6800"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V329","name":"s6q1k","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1601","var_end_pos":"1608","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on housing (K)","var_qstn_qstnlit":"In the past 6 MONTHS, how much money has your household spent on Housing (rent, repairs, construction, maintenance)","var_val_range":[{"units":"REAL","min":"0","max":"8000"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V330","name":"s6q1l","file_id":"F1","var_dcml":"2","var_intrvl":"contin","var_start_pos":"1609","var_end_pos":"1616","var_width":"8","var_rec_seg_no":"1","labl":"Expenditure in past 6 months on utilities (L)","var_qstn_qstnlit":"In the past 6 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2008","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V758","name":"s2q5a11","file_id":"F5","var_dcml":"3","var_intrvl":"discrete","var_start_pos":"995","var_end_pos":"998","var_width":"4","var_rec_seg_no":"1","labl":"Sep 2008 was motorable road not accessible? - 11-- Final","var_qstn_qstnlit":"If so, please indicate when the road was not accessible over the past 12 months?Sep 2008","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V759","name":"s2q5a12","file_id":"F5","var_dcml":"3","var_intrvl":"discrete","var_start_pos":"999","var_end_pos":"1002","var_width":"4","var_rec_seg_no":"1","labl":"Oct 2008 was motorable road not accessible? - 12-- Final","var_qstn_qstnlit":"If so, please indicate when the road was not accessible over the past 12 months?Oct 2008","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V760","name":"s2q5a13","file_id":"F5","var_dcml":"3","var_intrvl":"discrete","var_start_pos":"1003","var_end_pos":"1006","var_width":"4","var_rec_seg_no":"1","labl":"Nov 2008 was motorable road not accessible? - 13-- Final","var_qstn_qstnlit":"If so, please indicate when the road was not accessible over the past 12 months?Nov 2008","var_val_range":[{"units":"REAL","min":"0","max":"1"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"0","labl":"No","stats":null,"type":null},{"value":"1","labl":"Yes","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V761","name":"s2q6","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1007","var_end_pos":"1007","var_width":"1","var_rec_seg_no":"1","labl":"Is there a market in this community ?-- Final","var_qstn_qstnlit":"Is there a market in this community?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V762","name":"s2q6a1","file_id":"F5","var_dcml":"1","var_intrvl":"contin","var_start_pos":"1008","var_end_pos":"1012","var_width":"5","var_rec_seg_no":"1","labl":"Distance to the nearest market","var_qstn_qstnlit":"If there is no market in the community, how far away is the nearest one (round trip, there and back)?Kilometres","var_val_range":[{"units":"REAL","min":"0.1","max":"42"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V763","name":"s2q6a2","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1013","var_end_pos":"1013","var_width":"1","var_rec_seg_no":"1","labl":"Means of transportation to nearest market","var_qstn_qstnlit":"Insert the means of transportation and indicate the minutes it takes to get there and back?","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Walking","stats":null,"type":null},{"value":"2","labl":"Car\/bus\/motorcycle","stats":null,"type":null},{"value":"3","labl":"Bicycle","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V764","name":"s2q6a3","file_id":"F5","var_dcml":"0","var_intrvl":"contin","var_start_pos":"1014","var_end_pos":"1016","var_width":"3","var_rec_seg_no":"1","labl":"Minutes to nearest market","var_qstn_qstnlit":"If there is no market in the community, how far away is the nearest one (round trip, there and back)?Minutes","var_val_range":[{"units":"REAL","min":"2","max":"360"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V765","name":"s3q1","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1017","var_end_pos":"1017","var_width":"1","var_rec_seg_no":"1","labl":"Did members of community leave to look for work in past 12 months?-- Final","var_qstn_qstnlit":"Over the past 12 months, have there been members of this community who LEFT to work (or look for work) elsewhere for 3 months or more continuously?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V766","name":"s3q21","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1018","var_end_pos":"1018","var_width":"1","var_rec_seg_no":"1","labl":"Did young men (15-29) leave to look for work elsewhere ?-- Final","var_qstn_qstnlit":"If yes, please indicate the age and gender of the majority of people who LEFT this community to work (or look for work) elsewhere for 3 months or more continuously.\nYoung men (approx. 15 - 29 years old","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V767","name":"s3q22","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1019","var_end_pos":"1019","var_width":"1","var_rec_seg_no":"1","labl":"Did young women (15-29) leave to look for work elsewhere ?-- Final","var_qstn_qstnlit":"Young women (approx. 15 - 29 years old)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V768","name":"s3q23","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1020","var_end_pos":"1020","var_width":"1","var_rec_seg_no":"1","labl":"Did adult men (30-59) leave to look for work elsewhere ?-- Final","var_qstn_qstnlit":"Adult men (approx. 30-59 years old)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V769","name":"s3q24","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1021","var_end_pos":"1021","var_width":"1","var_rec_seg_no":"1","labl":"Did adult women (30-59) leave to look for work elsewhere ?-- Final","var_qstn_qstnlit":"Adult women (approx. 30-59 years old)","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V770","name":"s3q3","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1022","var_end_pos":"1022","var_width":"1","var_rec_seg_no":"1","labl":"Where did the majority of them migrate to ?-- Final","var_qstn_qstnlit":"Where did the majority of them migrate to?","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Another village in Ghana","stats":null,"type":null},{"value":"2","labl":"Another town\/city in Ghana","stats":null,"type":null},{"value":"3","labl":"Another country","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V771","name":"s3q4","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1023","var_end_pos":"1023","var_width":"1","var_rec_seg_no":"1","labl":"Did those who left generally send support to their families?-- Final","var_qstn_qstnlit":"Do they generally send back any support to their families in the community?","var_val_range":[{"units":"REAL","min":"1","max":"3"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null},{"value":"3","labl":"Don't know","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V772","name":"s3q5","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1024","var_end_pos":"1024","var_width":"1","var_rec_seg_no":"1","labl":"Have people migrated to this community to work in past 12 months?-- Final","var_qstn_qstnlit":"Over the past 12 months, have any people ARRIVED from outside this community to work here (or look for work) for 3 months or more continuously?","var_val_range":[{"units":"REAL","min":"1","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_catgry":[{"value":"1","labl":"Yes","stats":null,"type":null},{"value":"2","labl":"No","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F5"},{"vid":"V773","name":"s3q61","file_id":"F5","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"1025","var_end_pos":"1025","var_width":"1","var_rec_seg_no":"1","labl":"Did young men (15-29) migrate to this community ?-- Final","var_qstn_qstnlit":"If yes, please indicate the age and gender of the majority of people who ARRIVED in this community to work (or look for work) for 3 months or more continuously.\nYoung men (approx. 15 - 29 years 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