Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Surveydoi:10.7910/DVN/QUB9UTHarvard Dataverse2015-12-311International Food Policy Research Institute (IFPRI), 2015, "Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey", https://doi.org/10.7910/DVN/QUB9UT, Harvard Dataverse, V1, UNF:6:HX5rCx7iH56SQ1RBGOg73w== [fileUNF]Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Surveydoi:10.7910/DVN/QUB9UTInternational Food Policy Research Institute (IFPRI)Azzarri, Carlo (International Food Policy Research Institute (IFPRI))Haile, Beliyou (International Food Policy Research Institute (IFPRI))Comanescu, Maria (International Food Policy Research Institute (IFPRI))Signorelli, Sara (International Food Policy Research Institute (IFPRI))Roberts, Cleo (International Food Policy Research Institute (IFPRI))Tinonin, Cecilia (Independent Consultant)Pan African Field Services Limited (Panafields)International Food Policy Research Institute (IFPRI)2014Washington, DCSTATAHarvard DataverseInternational Food Policy Research Institute (IFPRI)IFPRI-DATAKM, IFPRI2015-12-242015Household- and Community-level SurveysArts and HumanitiesSocial Sciencesagricultural systemstechnologymonitoringevaluationemploymenthealthincomeexpenditurecreditshockeconomic growthrural areasGhanaWest AfricaAfrica South of SaharaAfricaImpact assessmentAs part of the US government’s Feed the Future initiative that aims to address global hunger and food security issues in sub-Saharan Africa, the US Agency for International Development is supporting three multi-stakeholder agricultural research projects under Africa Research In Sustainable Intensification for the Next Generation (Africa RISING - AR) program. The overall aim of the program is to transform agricultural systems through sustainable intensification projects in Ghana, Ethiopia, Tanzania, Malawi, Mali, and (potentially) Zambia. In West Africa, IITA works with multi-disciplinary R4D partners in selected communities located in Northern Ghana and Southern Mali. More particularly, in Northern Ghana three regions were chosen for the study: the Northern, Upper-East and Upper-West regions. These areas cover both maize-based and rice-vegetables-based systems and therefore allow to address the production constraints characterizing both realities7. As IFPRI (2012) highlights, the northern regions of Ghana are characterized by small land holdings and low input - low output farming systems, which adversely impact food security. In particular, they are subject to a seasonal cycle of food insecurity of three to seven months for cereals (i.e., maize, millet and sorghum) and four to seven months for legumes (i.e., groundnuts, cowpeas, and soybeans). These crops in the savannahs are often produced in a continuous monoculture, steadily depleting soil natural resources and causing the yields per unit area to fall to very low levels. The poverty profile of Ghana identifies the three northern regions as the poorest and most hunger-stricken areas in the country. Gender inequalities are also apparent in these regions, since women have limited access to resources and therefore limited capacity to generate income on their own.201420142014-052014-07GhanaHouseholdCommunitysample survey data (ssd)Cross-sectionPan African Field Services Limited (Panafields)<p>The first steps in the application of the evaluation methodology on the ground were the selection of target beneficiaries as well as the conduction of ad-hoc surveys in the identified areas. Since its inception, the IFPRI’s HarvestChoice team together with the USAID program design team have adopted a highly-structured approach to geographic targeting, which resulted in the selection of the three geographic areas for the program, namely the West African Guinea Savannah, the Ethiopian Highlands, and the maize- and rice-based systems of East and Southern Africa.6 In line with the AR’s mission, these three regions simultaneously satisfy the criteria of high levels of poverty, high concentration of cereal-based farming systems and low levels of productivity, therefore allowing to reach a large number of individuals in the target typology: poor cereal-based smallholder families.</p> <p>Within each mega-site, geographical strata (or domains) were identified to represent relatively uniform farming systems where to implement specific sustainable intensification interventions. Given all the constraints, it was not possible to conduct specific research for each one of them so the domains where further classified in terms of the number of potential beneficiaries, infrastructure, environmental concerns and welfare-related characteristics in order to be able to prioritize certain strata on the base of the AR’s objectives. In particular, the stratification of project sites was based on the following attributes: farming system, rainfall, elevation (i.e. proxy for temperature), population density and access to markets.</p> <p>In Northern Ghana three regions were chosen for the study: the Northern, the Upper-East and the Upper-West region. These areas cover both maize-based and rice-vegetables-based systems and therefore allow to address the production constraints characterizing both realities7. As IFPRI (2012) highlights, the northern regions of Ghana are characterized by small land holdings and low input - low output farming systems, which adversely impact food security. In particular, they are subject to a seasonal cycle of food insecurity of three to seven months for cereals (i.e., maize, millet and sorghum) and four to seven months for legumes (i.e., groundnuts, cowpeas, and soybeans). These crops in the savannahs are often produced in a continuous monoculture, steadily depleting soil natural resources and causing the yields per unit area to fall to very low levels. The poverty profile of Ghana identifies the three northern regions as the poorest and most hunger-stricken areas in the country. Gender inequalities are also apparent in these regions, since women have limited access to resources and therefore limited capacity to generate income on their own.</p> <p>Guo and Azzarri (2013) reviewed available spatial biophysical and socio-economic data layers for northern Ghana and choose the appropriate layers for the stratification. They note that among the candidate layers on population density, Agro-Ecological Zones, precipitation, elevation, slope, farming system, market access, Length of Growth Period (LGP), and land cover, only some were appropriate to characterize and stratify districts in Northern Ghana. Given their spatial variability, Guo and Azzarri (2013) chose LGP and market access as proxies of agriculture potential and socio-economic integration in the food value chain, respectively. Combining these two layers, they derived six unique classes.8 Based on the stratification analysis and after consultation with local project partners, six action districts were initially identified. However, subsequent field work raised concerns over this first subdivision as for example the high density of rural population in some districts in the Upper East region that were not adequately sampled. As a result, there was a second round of field work that resulted in the identification of ten target districts.</p> <p>As IFPRI’s Report (2014) highlights, to identify action and control sites the following steps were taken. First, all known villages within each district were mapped based on the digital locations provided by AR and on the digitization of printed maps. Also, new market access maps were prepared from the latest available digital maps of roads and tracks and were updated daily as the field work progressed, in order to eliminate inaccessible communities from the list of potential sites. Further, potential communities were selected ex-ante on the basis of a geographic framework ensuring an appropriate distance between action sites and counterfactuals (to avoid contamination), and paper and digital maps were prepared before each day of field work. Once obtained the list of potential beneficiary villages, all the selected communities were visited to check their suitability in terms of farming systems, accessibility and size. The team on the field was composed by the consultant, the project manager and other staff members from IITA, as well as the officers from the Ministry of Agriculture, which were familiar with the district’s features. Some pre-selected villages were abandoned, and other suitable sites were identified during the field work. Finally, the locations of all suggested action and counterfactual sites were presented during a planning workshop in Tamale at the end of October 2012.</p> <p>During the above mentioned workshop, IFPRI raised concerns about the physical closeness of intervetion and counterfactual communities. Hence, some of the sites were abandoned and new ones were chosen as a replacement. The identification of suitable counterfactual communities has been a particularly difficult task, since to obtain a reliable impact assessment they have to present very similar properties as the action communities (i.e. population density, cropping system, market access, etc.), but should also be as far as possible from them to avoid being contaminated by spill-overs. Ideally, inhabitants of counterfactual communities should not meet inhabitants of action villages, and they should not share markets or other public facilities. These two main conditions –similarity and isolation- can very rarely be achieved at once. The best solution would be to have action and counterfactual sites located in different districts, but in northern Ghana this is rarely feasible because of the big differences in market accessibility and cropping systems across them. In addition, there are no major physical barriers to movement such as very large rivers, swamps or mountain ranges allowing to isolate control and treatment sites.</p> <p>Overall, the evaluation design includes 25 counterfactual communities as well as 25 intervention communities. In particular, 18 communities were selected in the Upper West Region (8 counterfactual communities and 10 intervention communities), 11 communities in the Upper East Region (6 counterfactual communities and 5 intervention communities) and 18 communities in the Northern Region (8 counterfactual communities and 10 intervention communities) (Figure 1). However, during fieldwork, it was noted that an administrative reform of districts took place and there was therefore the need for re-arranging the geographical belonging of some communities. In particular, four communities (Namiyila, Arigu, Basigu, Karemiga) were moved from the Upper East administrative region to the Northern region jurisdiction. In light of this new categorization, Upper East Region finally includes 7 communities (5 intervention communities and 2 control communities) whereas Northern Region covers 25 communities (15 counterfactual and 10 intervention communities). Nevertheless, it is worth underlining that the physical proximity of such communities to the Upper East Region would rather suggest their inclusion in this geographical category for analytical purposes (e.g. similarity in characteristics of its population).</p> <p>The households in the selected communities were divided into four groups:</br> 1) Households in control communities; </br> 2) Non-beneficiary households in AR intervention communities;</br> 3) Africa RISING beneficiary households (2013) in AR intervention communities;</br> 4) Africa RISING interested households (2014) in AR intervention communities; <p>The first step of the sampling strategy consisted in the stratification of the communities on the lines of the development domains at the district level. The second stage randomly selected households within each community. In particular, a constant number of control households (n=20) was randomly selected in each of the 25 control communities for a total of 500 control households. In regard to the 25 intervention communities, the sampling strategy was to randomly select a constant number of households (n=8) not directly benefitting from AR intervention and a constant number of 6 households interested in joining the program in 2014. Finally, 462 households that directly benefitted from the AR 2013 program were selected to participate to the survey. These guidelines were followed as closely as possible and only in a few cases the number of surveyed households in each group could not exactly match the target.The total sample size for GARBES is 1,284 households, of which 784 households in intervention communities and 500 in control communities. The households in target villages are further divided into 454 AR beneficiaries, 148 AR future beneficiaries and 182 AR non-beneficiaries.</p>In-person interviewStructured questionnaireInternational Food Policy Research Institute (IFPRI). 2015. Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey. Washington, DC: International Food Policy Research Institute (IFPRI) [dataset]. <a href="http://dx.doi.org/10.7910/DVN/QUB9UT"> http://dx.doi.org/10.7910/DVN/QUB9UT</a><p>IFPRI adheres to the principle of unrestricted public access to its own final research outputs and will make such outputs freely available. The Institute encourages the use of the <b>Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey </b> dataset; for detailed information on its use, please refer to <a href="http://www.ifpri.org/ourwork/about/intellectual-property">IFPRI’s Intellectual Property Policy</a>. The data files in this dataset are unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. IFPRI’s decision not to alter the contents of the data files means that the user of these files will need to take care in handling missing observations, outliers, and violations of logical consistency. </p> <p>The data are provided ‘as is’ and in no event shall IFPRI be liable for any damages resulting from use of the data. While great effort was taken to obtain high-quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way.</P> <h1> IFPRI DATAVERSE TERMS OF USE </h1> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribution-NonCommercial 3.0 Unported License</a> <a rel="license" href="http://creativecommons.org/licenses/by-nc/3.0/"></a> <a rel="license" href="http://creativecommons.o rg/licenses/by-nc/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc/3.0/80x15.png" /></a><br /><b>Data paper: </b> <a href="http://ebrary.ifpri.org/utils/getfile/collection/p15738coll2/id/130260/filename/130471.pdf"> A user guide to Ghana Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey Data</a><a href="http://dx.doi.org/10.7910/DVN/28557">Malawi Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey</a><p> </p> <a href="http://dx.doi.org/10.7910/DVN/PPUL2W">Tanzania Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey</a><p> </p> <a href="http://dx.doi.org/10.7910/DVN/H6RWOO">Ethiopia Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey</a><p> </p> <a href="http://dx.doi.org/10.7910/DVN/UDKSBJ">Mali Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) Baseline Evaluation Survey</a>001_HHvisit.tab128411text/tab-separated-valuesUNF:6:Q022K5s2WR91A+KkiVir+Q==SurveyThis file contains data about household location.002_Interview.tab128411text/tab-separated-valuesUNF:6:Q022K5s2WR91A+KkiVir+Q==SurveyThis file contains data about the survey staff and household information.003_Section B.tab1093429text/tab-separated-valuesUNF:6:ZG17QF7I479gOsEbGCxdZw==SurveyThis file contains data from “Section B: Household Members” of the household questionnaire.004_Section C.tab1093423text/tab-separated-valuesUNF:6:padZwcddxlyB7fJXb5HXDQ==SurveyThis file contains data from “Section C: Child Anthropometry” of the household questionnaire.005_Section D.tab1093419text/tab-separated-valuesUNF:6:TMFRl1Q4XDCWSIbabXmIJA==SurveyThis file contains data from “Section D: Women Anthropometry” of the household questionnaire.006_Section E.tab318626text/tab-separated-valuesUNF:6:WFvvRXCWoClG3TV2T8X4hA==SurveyThis file contains data from “Section E: Agricultural land” of the household questionnaire.007_Section F.tab461237text/tab-separated-valuesUNF:6:CeGm/ELvyiPK9HXK/wQUMA==SurveyThis file contains data from “Section F: Crop Inputs (Soil Conservation)” of the household questionnaire.008_Section G1.tab518320text/tab-separated-valuesUNF:6:6/xRsk7PAI8JqHPLRwlCXQ==SurveyThis file contains data from “Section G1: Crop Production” of the household questionnaire.009_Section G2.tab522130text/tab-separated-valuesUNF:6:A47FgdZYU+xeBjoV18wXUQ==SurveyThis file contains data from “Section G2: Crop Inputs (Costs)” of the household questionnaire.010_Section G3.tab522126text/tab-separated-valuesUNF:6:HRgEk9WLIbERex2Up2HdZQ==SurveyThis file contains data from “Section G3: Crop Inputs (Labor)” of the household questionnaire.011_Section G4.tab445521text/tab-separated-valuesUNF:6:OFUbIscMX/PBZKDSluGf1g==SurveyThis file contains data from “Section G4: Crop Inputs (Seeds)” of the household questionnaire.012_Section H.tab518562text/tab-separated-valuesUNF:6:o5R60OIBIqFYvXNLOtZgpQ==SurveyThis file contains data from “Section H: Crop Sales- Quantities” of the household questionnaire.013_Section I.tab376015text/tab-separated-valuesUNF:6:DlhUSADFyuc0y+Fd4I+WKQ==SurveyThis file contains data from “Section I: Crop Storage” of the household questionnaire.014_Section J1.tab341220text/tab-separated-valuesUNF:6:m9Q6SbGkt0PRpJEqZGhSGA==SurveyThis file contains data from “Section J1: Livestock Ownership” of the household questionnaire.015_Section J2.tab266934text/tab-separated-valuesUNF:6:ATcSZ2anxX28f4/zAvcONw==SurveyThis file contains data from “Section J2: Livestock Feed” of the household questionnaire.016_Section K1.tab20969text/tab-separated-valuesUNF:6:smW0+x4sPEFnqI5rFJ0sUg==SurveyThis file contains data for questions K1-K4 from “Section K: Interaction with Agricultural Extension Agents and Africa RISING” of the household questionnaire.017_Section K2.tab128424text/tab-separated-valuesUNF:6:qxIaPmtMPrYp0JRYJBjTeg==SurveyThis file contains data for questions K5-K19C from “Section K: Interaction with Agricultural Extension Agents and Africa RISING” of the household questionnaire.018_Section L.tab161911text/tab-separated-valuesUNF:6:19eRuLHcpgzsNW8sTq+gYQ==SurveyThis file contains data from “Section L: Other income” of the household questionnaire.019_Section M.tab18810text/tab-separated-valuesUNF:6:layAdnEbJquGhOVzJRrL9g==SurveyThis file contains data from “Section M: Credit” of the household questionnaire.020_Section N1.tab128417text/tab-separated-valuesUNF:6:t4IXZZmZqFwxmbQe4shwPA==SurveyThis file contains data for questions N1-N12 from “Section N: Housing and Assets” of the household questionnaire.021_Section N2.tab96569text/tab-separated-valuesUNF:6:AEk8SHmRHdDWooarISyBZg==SurveyThis file contains data for questions N13-N16 from “Section N: Housing and Assets” of the household questionnaire.022_Section N3.tab128407text/tab-separated-valuesUNF:6:znbxjgwDlM4qXmg9G3a0rA==SurveyThis file contains data for questions N13 and N17 from “Section N: Housing and Assets” of the household questionnaire.023_Section O.tab128444text/tab-separated-valuesUNF:6:/lYMEqPrpE3CrPeMeJC3Uw==SurveyThis file contains data from “Section O: Subjective Welfare and Food Security” of the household questionnaire.024_Section P.tab1844117text/tab-separated-valuesUNF:6:fxJK2qPz7et+m81o1eiwnw==SurveyThis file contains data from “Section P: Food Consumption Over the Past Week” of the household questionnaire.025_Section P_Foodconversions.tab1844141text/tab-separated-valuesUNF:6:0DUwadERdcJcij34PwkuWg==SurveyThis file contains data to convert local units to standard from “Section P: Food Consumption Over the Past Week” of the household questionnaire.026_Section Q1_month.tab82478text/tab-separated-valuesUNF:6:CRJslsO9RasTcMQcHh78lg==SurveyThis file contains data from “Section Q1: Food Consumption Over the Past One Month” of the household questionnaire.027_Section Q1_week.tab27318text/tab-separated-valuesUNF:6:l0q7StbopaR6ScqHx5Hflg==SurveyThis file contains data from “Section Q1: Food Consumption Over the Past One Week” of the household questionnaire.028_Section Q2.tab111418text/tab-separated-valuesUNF:6:pwdrZd0RusoE/8h/eK5tLg==SurveyThis file contains data from “Section Q2: Non-Food Expenditures-Past Twelve Months” of the household questionnaire.029_Section R.tab388217text/tab-separated-valuesUNF:6:JuKQz9tkIhaTUjSc3hRDTw==SurveyThis file contains data from “Section R: Recent Shocks to Household Welfare” of the household questionnaire.030_Filter.tab128412text/tab-separated-valuesUNF:6:abhkJ3/GncqMW0UvyoAFIw==SurveyThis file contains data from Section E, L and M for filtering the households.031_Section CA.tab5011text/tab-separated-valuesUNF:6:UyHChHVh66+mktfkTAr9Rg==SurveyThis file contains data from “Section CA: Community Identification” of the community questionnaire.032_Section CB.tab34511text/tab-separated-valuesUNF:6:hc+s+nSEu7u+F30jDy/YMg==SurveyThis file contains data from “Section CB: Roster of Informants” of the community questionnaire.033_Section CC.tab100010text/tab-separated-valuesUNF:6:aPEdWM68vmA9EwfO4spr9g==SurveyThis file contains data from “Section CC: Access to Basic Services” of the community questionnaire.034_Section CD1.tab50017text/tab-separated-valuesUNF:6:q/Wxft09NdQlgxvnsGyevg==SurveyThis file contains data for questions CD1-CD4 from “Section CD: Agricultural Labor, Extension Services, and Agricultural Problems” of the community questionnaire.035_Section CD2.tab5013text/tab-separated-valuesUNF:6:xqj5TYeAE6UAZAc0+hVTmQ==SurveyThis file contains data for questions CD5-CD8c from “Section CD: Agricultural Labor, Extension Services, and Agricultural Problems” of the community questionnaire.036_Section CE1.tab3007text/tab-separated-valuesUNF:6:9doEeNKNJHKBHyD4+sqXRQ==SurveyThis file contains data for questions CE1a- CE1b from “Section CE: Land Use” of the community questionnaire.037_Section CE2.tab2507text/tab-separated-valuesUNF:6:u5ECfyWli0TgvrCsdc3Uxg==SurveyThis file contains data for questions CE2a- CE2b from “Section CE: Land Use” of the community questionnaire.038_Section CE3.tab5014text/tab-separated-valuesUNF:6:NSdso0RtAqkKYzC2Q0RBwg==SurveyThis file contains data for questions CE3- CE10b from “Section CE: Land Use” of the community questionnaire.039_Section CE4.tab15011text/tab-separated-valuesUNF:6:bydxAKAEGcFLIF/01JX5kA==SurveyThis file contains data for questions CE11a- CE11f from “Section CE: Land Use” of the community questionnaire.040_Section CF.tab5041text/tab-separated-valuesUNF:6:zAIGk4RWWtaHe+aZG5nQvg==SurveyThis file contains data from “Section CF: Demographics, Land” of the community questionnaire.041_Section CG1.tab2509text/tab-separated-valuesUNF:6:Hc8WCCXJVxaRp31o5rc7pw==SurveyThis file contains data for questions CG1-CG4 from “Section CG: Water Access, Shocks, and Consumption” of the community questionnaire.042_Section CG2.tab65014text/tab-separated-valuesUNF:6:0kPkA0YigKxaraqS8ze3xQ==SurveyThis file contains data for questions CG5-CG9c from “Section CG: Water Access, Shocks, and Consumption” of the community questionnaire.043_Section CG3.tab20119text/tab-separated-valuesUNF:6:JsmW+FFWMgRd9uEvnuswZQ==SurveyThis file contains data for questions CG10-CG14 from “Section CG: Water Access, Shocks, and Consumption” of the community questionnaire.044_Section CH1.tab509text/tab-separated-valuesUNF:6:SB+PEuM7NhGl/CAE7RPURQ==SurveyThis file contains data for questions CH1-CH2c from “Section CH: Market Prices” of the community questionnaire.045_Section CH2.tab420011text/tab-separated-valuesUNF:6:nZcyJI0LMMPEDdJ8W6K74A==SurveyThis file contains data for questions CH3-CH4E from “Section CH: Market Prices” of the community questionnaire.Household ID0.08.01051513E89.366316336695789E78.925701391471971E8.9.050352425E81284.01.011485944E9UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID0.010.0.1284.08.869158878504680.9003414488643099.08.010Upper West region8Northern Region9Upper East regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID5.01284.05.3995327102803473.735198350601602.0.011.01.011Nadowli7Bongo6Talensi-Nabdam4Kassena Nankana West9Wa municipal8Wa West10Wa East2Salvelugu1Tolon/Kumbungu3West Maprusi5Kassena Nankana EastUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID1284.01.00.0.50.025.1760124610592325.014.65876399276685645Tiborgunayili44Tibali4Botingli22Kpelung40Siiriyin14Guo2Basigu32Nyagli19Kadia38Sabulungo20Karemiga18Jana10Gia29Naro27Nabogu42Tanina5Cheyohi No. 246Tindan16Gyilli17Issa47Tingoli8Fian13Goriyiri15Gushie3Bonia36Pigu50Zanko48Wogu9Gbanjon39Shia34Papu30Nasia11Goli6Disiga37Sa Gie28Namiyila1Arigu23Kpirim24Kukobila33Nyangua31Natodor49Yenduri43Tekuru41Tabiase21Kpallung7Duko26Laogri35Pase12Goripie25KukuaUNF:6:al9Z5YKWQlgQIIBI59eNEg==Start timeUNF:6:eJkv1UVCVYS4wYvepUZ8HA==End timeUNF:6:NZKUg5HPL3G2vkvBj4F1mA==Time at the beginning of the interview1284.057033.4112149532624025.6199668724041027.0173718.0.53017.50.0UNF:6:8Aw67GBZOx64gKKunuHugw==Date at the beginning of the interview1284.0.180785.96261682242190514.083283.621709751050.010714.0310514.0UNF:6:5xDLaqwCCC4+oI/e+L0Dww==Time at the end of the interview.0.059.098765.2725856698747328.43147153929235929.01284.0102677.0UNF:6:OWHY6YJ8OA6WoCt/Xkjk/g==Date at the end of the interview10614.01284.0180742.582554517020.0.84879.36412591401190514.0310514.0UNF:6:6OlOyZTrs5VSapURhbmdwg==Treat variable0.01.0.2.01.08030046466288644.01284.02.1947040498442392ARNB4AR20141Control3AR2013UNF:6:Cl/0uHxzDofRdchhlYuNKA==Household ID1284.00.09.050352425E88.925701391471971E8.1.011485944E98.01051513E89.366316336695789E7UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID0.9003414488643090.0.10.01284.09.08.08.869158878504688Northern Region9Upper East region10Upper West regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID5.3995327102803475.01284.00.0.3.7351983506016021.011.08Wa West4Kassena Nankana West1Tolon/Kumbungu2Salvelugu3West Maprusi9Wa municipal7Bongo11Nadowli6Talensi-Nabdam10Wa East5Kassena Nankana EastUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID14.65876399276685650.0.1.025.176012461059231284.00.025.03Bonia9Gbanjon17Issa4Botingli19Kadia5Cheyohi No. 216Gyilli2Basigu23Kpirim44Tibali22Kpelung36Pigu14Guo43Tekuru6Disiga41Tabiase37Sa Gie45Tiborgunayili50Zanko35Pase38Sabulungo34Papu32Nyagli28Namiyila20Karemiga25Kukua27Nabogu49Yenduri31Natodor10Gia18Jana48Wogu21Kpallung15Gushie47Tingoli24Kukobila11Goli42Tanina26Laogri29Naro40Siiriyin1Arigu8Fian30Nasia12Goripie13Goriyiri33Nyangua39Shia7Duko46TindanUNF:6:al9Z5YKWQlgQIIBI59eNEg==Start timeUNF:6:eJkv1UVCVYS4wYvepUZ8HA==End timeUNF:6:NZKUg5HPL3G2vkvBj4F1mA==Time at the beginning of the interview24025.6199668724041027.0173718.01284.0.53017.557033.411214953260.0UNF:6:8Aw67GBZOx64gKKunuHugw==Date at the beginning of the interview180785.96261682242190514.0.0.010714.01284.083283.62170975105310514.0UNF:6:5xDLaqwCCC4+oI/e+L0Dww==Time at the end of the interview47328.43147153929235929.0102677.098765.272585669870.059.0.1284.0UNF:6:OWHY6YJ8OA6WoCt/Xkjk/g==Date at the end of the interview0.084879.36412591401180742.58255451702310514.0.10614.01284.0190514.0UNF:6:6OlOyZTrs5VSapURhbmdwg==Treat variable2.01.00.04.01.0803004646628864.2.1947040498442391284.01Control2ARNB4AR20143AR2013UNF:6:Cl/0uHxzDofRdchhlYuNKA==Household ID8.817714193435223E80.08.01051513E89.388752621963793E71.011485944E9.10934.08.032511565E8UNF:6:nOneKBZefWsZmECpoocx1w==Region ID0.90281825007281098.010934.08.765410645692310.00.0.8.09Upper East region10Upper West region8Northern RegionUNF:6:maG2quVdnjT17RRmOW+gwg==District ID0.0.4.9755807572712173.70399899167627263.01.011.010934.03West Maprusi7Bongo9Wa municipal5Kassena Nankana East8Wa West11Nadowli6Talensi-Nabdam10Wa East2Salvelugu1Tolon/Kumbungu4Kassena Nankana WestUNF:6:OgKNnjcBAGzK7CJxxeqJtA==Community ID0.01.0.10934.025.18117797695288514.4866866165866725.050.026Laogri31Natodor50Zanko33Nyangua3Bonia15Gushie22Kpelung9Gbanjon4Botingli12Goripie38Sabulungo27Nabogu40Siiriyin49Yenduri21Kpallung44Tibali34Papu28Namiyila45Tiborgunayili8Fian14Guo39Shia10Gia13Goriyiri17Issa47Tingoli42Tanina43Tekuru25Kukua7Duko37Sa Gie32Nyagli6Disiga36Pigu1Arigu5Cheyohi No. 211Goli35Pase16Gyilli24Kukobila23Kpirim20Karemiga29Naro18Jana48Wogu41Tabiase30Nasia2Basigu46Tindan19KadiaUNF:6:K9EjwAYD4qyfHp/E1h352w==Household Member ID5.0.5.3289681120494891.010934.06.25333821108462640.00.0UNF:6:aq0fgDmG1AfDdKZ8wKdJcA==What is the relationship of [NAME] to the head of household?3.58633619901224950.03.010934.0.1.01.9030753158842428.08Other unrelated3Son/daughte5Grandchild4Son/daughter in law1Head6Parent or parent in law2Spouse7Other relatedUNF:6:lRYgIrZjeftuCyHPf0xEGA==Is (NAME) male or female?1.010934.01.49323211999268372.0.0.01.00.4999770576351181Male2FemaleUNF:6:3kOOo0OYXDWg3o02lvlLAg==Age (years)0.020.12476179456701120.023.43479056155106518.00.0.10934.0UNF:6:tKRYb6UwenVf1MiwI+10Hw==Age (months) - for those below 7 years4.49785958904109411.04.08598.02.89472600974545720.02336.0.UNF:6:jKKJWPmHm/AV5cghf0RVyw==How many months of the past 12 months has [NAME] lived with the household?.1.01.00.064728234732771192.010934.00.01.00420706054508861Three months or more2Less than three monthsUNF:6:rc02YSoSt3e3schpZYts3Q==What is the marital status?1.06345.04589.02.46929918825457543.14578408195430647.0.1.07Widow(er)3Living together4Separated2Polygamous married5Divorced1Monogamous married6Never marriedUNF:6:o4cs7rJAzqZkfk7aPaRZIA==What is the highest grade of education completed?8598.04.693124255176953.2.6186322400558230.0-1.02336.021.010Middle6Primary 65Primary 57JHS 1-1No school/none21Do not know3Primary 30Kindegarten1Primary 12Primary 217TECHNICAL/TEACHER /COLLEGE/VOCA.13SHS 315O-LEVEL18UNIVERSITY-DIPLOMA/ POLYTECHNIC14SHS 49JHS 312SHS 219UNIVERSITY-DEGREE20POST-UNIVERSITY EDUCATION4 Primary 416A-LEVEL11SHS 18JHS 2UNF:6:Zl4NI3aH18Ub69rMue34Mw==Which language can read and write?12.2513375203535781.01.35669663349018442336.013.014.08598.0.6Likpakpa12Other foreign languages7Wali9Multiple local languages11English and local language(s)5Kusal14Don't know13Cannot read and write2Dagaare1Dagbani3Kasem8Frafra4Gonja10EnglishUNF:6:mW7bpMsZKlEM1OM5AS5BHQ==What is the first most important activity of [NAME]?1.02336.03.59391440931127511.08598.0.10.07.42626192137704952Self-employed in agriculture with employees3Self-employed in non-agriculturewithout employees5Hired in agriculture11Looking for work9Unpaid family helper in nonagriculture8Unpaid family helper in agriculture6Hired in non-agriculture4Self-employed in non-agriculture - with employees1Self-employed in agriculture without employees7Informal labor (paid)10Unavailable to workUNF:6:cErVhMr3pLrHC3xL4s4ueA==What is [NAME's] occupation in his/her primary economic activity?6824.08.6583941605839371.46230193230283171.0.9.04110.011.011Other3Technician and associate professional5Service and sales worker7Craft and related trades worker8Plant and machine operator, and assembler1Manager6Skilled agricultural, forestry, and fishery workers2Professional9Elementary occupation10Armed forces4Clerical support workerUNF:6:O/98RL2pGeNCHSM7zozIYQ==What kind of trade or business is [NAME] engaged in his/her primary economic act1.73990267639901731.01.03.0019445292505194.4110.06824.019.05Water supply; sewerage, waste management and remediation activities17Human health and social work activities10Information and communication6Construction11Financial and insurance activities2Mining and quarrying16Education7Wholesale and retail trade; repair of motor vehicles and motorcycles13Professional, scientific and technical activities4Electricity, gas, steam and air conditioning supply12Real estate activities8Transportation and storage1Agriculture, forestry and fishing9Accommodation and food service activities14Administrative and support service activities18Arts, entertainment and recreation15Public administration and defence; compulsory social security19Other3ManufacturingUNF:6:bP8fQgD8CMijRcgMSIWRsQ==What was the secondary economic activity [NAME] was involved in during the last2.586609378294422.1.04110.08.67372262773722710.010.06824.04Self-employed in non-agriculture - with employees10None8Unpaid family helper in agriculture2Self-employed in agriculture with employees1Self-employed in agriculture without employees7Informal labor (paid)3Self-employed in non-agriculturewithout employees5Hired in agriculture6Hired in non-agriculture9Unpaid family helper in nonagricultureUNF:6:P6RDczqp9+C5hlAzKFdsDg==How much cash/in kind support did [NAME] receive in total (primary and secondary230.010704.0899.8940406521074.0.08400.0461.523043478261150.0UNF:6:s22Vueryta6UV0QMmbnE6w==Reference period question b13a10.05.1956521739130435.01.74860599771854062.0230.010704.0.1hour5month4fortnight3week2day6quarter7half year8year9other10refuse to answerUNF:6:WkHjJFs2oOWpP/sSu+fMSw==During the last 12 months, for how many months did [NAME] work on these activiti4110.0.0.012.07.02.65855214269726456824.08.000486618004867UNF:6:5x1GktiXtuby1xn6FEyJAA==In those months that [NAME] worked, how many weeks per month, on average, did [N4.03.9333333333333344110.0.0.30479790085141870.06824.04.0UNF:6:1wCQKrm6cnKiq9fO5hPeQg==In those weeks [NAME] worked, how many hours per week, on average, did [NAME] us20.317842860926167168.047.032116788321126.0.048.06824.04110.0UNF:6:ge+Fh55pWtBaE9nei27DTg==In the last 7 days, how many hours did [NAME] work on these activities?42.022.378344895922663.0.042.271776155717714110.06824.0168.0UNF:6:qVjwhMM3T4eEkd/NbqV9VA==Why was [NAME] not available for work during the last 12 months?6594.01.08739053271468041.04340.07.01.57511520737327131.0.5Sick7Other2Household duties4Too old1In school6Disabled3Too youngUNF:6:1960ArCDsh8V1jh1mbRFDQ==During the last 12 months, for how long was [NAME] unable to work as a result of0.012.011.92424242424242648.066.0.7.11512064022400110868.0UNF:6:z20ejhpgSncHnL+mE6Fzmw==Reference period question b19a61.01.0.1.29508196721311494.00.900819299213813110873.01.04Do not know3Day2Week1MonthUNF:6:3fxNooO8NP0yYCfSYCMLJw==What type of illness, symptoms or injury did cause [NAME] to be unable to work?-9.061.010873.0.9.01.6376712774897022.08.4262295081967211Fever8Ulcer4Headache10Other9Disability/accident2Malaria5Heart3Stomach Ache / Diarrhea6Lung7MaternityUNF:6:awr2OZpj9bl597gusrJ6Hg==What type of illness, symptoms or injury did cause [NAME] to be unable to work?-3.0.6.04.33333333333333310931.03.04.01.52752523165194656Lung10Other2Malaria8Ulcer3Stomach Ache / Diarrhea1Fever9Disability/accident7Maternity5Heart4HeadacheUNF:6:pi+t4OLBIFUlBOPRjNZsZQ==Treat variable0.02.02.196725809401862710934.04.01.0.1.06977135639337422ARNB1Control3AR20134AR2014UNF:6:KAblhau+SFTv5t+d3OoGhA==Household ID10934.08.817714193435223E88.01051513E89.388752621963793E71.011485944E90.08.032511565E8.UNF:6:nOneKBZefWsZmECpoocx1w==Region ID.10.00.90281825007281098.76541064569230.010934.08.08.010Upper West region9Upper East region8Northern RegionUNF:6:maG2quVdnjT17RRmOW+gwg==District ID11.010934.03.01.00.04.975580757271217.3.70399899167627268Wa West1Tolon/Kumbungu2Salvelugu6Talensi-Nabdam5Kassena Nankana East3West Maprusi7Bongo9Wa municipal4Kassena Nankana West11Nadowli10Wa EastUNF:6:OgKNnjcBAGzK7CJxxeqJtA==Community ID25.18117797695288514.486686616586670.010934.01.050.0.25.042Tanina48Wogu10Gia12Goripie43Tekuru17Issa21Kpallung33Nyangua24Kukobila22Kpelung37Sa Gie45Tiborgunayili8Fian32Nyagli40Siiriyin16Gyilli27Nabogu20Karemiga2Basigu1Arigu15Gushie50Zanko4Botingli47Tingoli49Yenduri9Gbanjon3Bonia13Goriyiri29Naro26Laogri35Pase34Papu7Duko39Shia5Cheyohi No. 26Disiga19Kadia18Jana44Tibali25Kukua11Goli36Pigu30Nasia31Natodor23Kpirim28Namiyila41Tabiase46Tindan38Sabulungo14GuoUNF:6:K9EjwAYD4qyfHp/E1h352w==Household Member ID0.040.06.253338211084626.5.05.32896811204948910934.01.0UNF:6:aq0fgDmG1AfDdKZ8wKdJcA==Is [NAME] 5 years or younger?.0.00.35226165882717981.02.01.8548564111944422.010934.01yes2noUNF:6:x8QKt4J0K2x5YLYb/PGpiw==Child anthro: Has had diarrhea in the last 3 months?.2.02.01.00.469276979599466741587.09347.01.67296786389414031Yes2NoUNF:6:t7pY1p4u2MPJu72fbC2P5w==Was [NAME] measured?9347.02.01.00.284612288870454371587.01.0888468809073724.1.02No1YesUNF:6:oq+GVuMZ62rmdPYrclAwpw==Why was [NAME] not measured?.1.010793.0141.01.25531914893617011.00.73099008513062054.03Unwilling4Other2Too Ill1Currently Not HomeUNF:6:7vc/EoemiFC3GXmg2Q62tA==Where does [NAME]'s mother live?1.00.268133817145058249488.01.01.06500691562932253.01446.0.1inside the household2outside the household3dead4do not knowUNF:6:FmBRI7gKlYNBEbG+fenGIg==Household member ID of the mother, if she lives inside the household5.0529567461152463.01360.01.0.9574.039.04.722794117647061UNF:6:cD0BZN5l2/folh98Sh21oA==Where does [NAME]'s father live?1.04.09488.01.14453665283540771446.01.0.0.403095152682151071inside the household4do not know3dead2outside the householdUNF:6:PaC2CiKxULFgrAb/haQsPA==Household member ID of the father, if he lives inside the household4.6229149721244412.736507936507928.1.01.01260.038.09674.0UNF:6:kwu1sVg41cCZvt91zi1tvA==Weight (KGS) - First measure1446.02.7.3.44766038844301649488.024.411.11279391424619711.0UNF:6:Ho32c6dRirGrDc2UtnQdWQ==Weight (KGS) - Second measure11.1172890733056728.83.4690931748050749488.01446.02.7.11.0UNF:6:vADyrpEi1LLtg7JhjeC8yQ==Weight (KGS) - Third measure14.15.14.099749836020329527.010907.0.21.413.444444444444445UNF:6:d0u9poIHGv+mxYFrq0bM8Q==Height (CM) - First measure14.313.5018385950200971446.084.05126.99488.083.60919778699862.UNF:6:nIFKJJljaqDS4zhD4H5cLg==Height (CM) - Second measure.126.91446.084.114.39488.013.50333142199065383.60636237897648UNF:6:/sN0WJMdpmi9lrGQEKz9yA==Height (CM) - Third measure70.8333333333333315.131.6426084049129371.2510928.06.0103.6.UNF:6:xGdMmzC/fMSckArskVsbkg==Height/length measured with child standing or laying down?1446.01.02.01.3250345781466117.0.46854981180144431.09488.01Standing2Lying downUNF:6:oSd1gzNw9u1UfAQ8HKRvZQ==Upper arm circumference (CM) - First measure.10.119.49488.01446.01.269013245327527614.48948824343015214.5UNF:6:BJ1aIFxJ6PGeBdIpJNF+cQ==Upper arm circumference (CM) - Second measure14.510.11.2662499821562134.14.48845089903181319.41446.09488.0UNF:6:MTboXKfCklK2ArqykNOkaQ==Treat variable1.0697713563933742.4.010934.02.19672580940186271.02.00.04AR20142ARNB1Control3AR2013UNF:6:KAblhau+SFTv5t+d3OoGhA==Household ID.8.032511565E810934.01.011485944E90.08.01051513E89.388752621963793E78.817714193435223E8UNF:6:nOneKBZefWsZmECpoocx1w==Region ID10.010934.00.08.0.8.00.90281825007281098.76541064569238Northern Region9Upper East region10Upper West regionUNF:6:maG2quVdnjT17RRmOW+gwg==District ID3.703998991676272610934.011.01.03.00.0.4.9755807572712179Wa municipal11Nadowli2Salvelugu7Bongo8Wa West6Talensi-Nabdam1Tolon/Kumbungu4Kassena Nankana West5Kassena Nankana East10Wa East3West MaprusiUNF:6:OgKNnjcBAGzK7CJxxeqJtA==Community ID1.025.050.00.014.4866866165866725.181177976952885.10934.012Goripie15Gushie27Nabogu25Kukua9Gbanjon39Shia41Tabiase16Gyilli34Papu8Fian2Basigu45Tiborgunayili6Disiga35Pase24Kukobila10Gia40Siiriyin31Natodor28Namiyila23Kpirim26Laogri42Tanina19Kadia44Tibali29Naro33Nyangua5Cheyohi No. 247Tingoli13Goriyiri43Tekuru37Sa Gie38Sabulungo7Duko36Pigu49Yenduri48Wogu17Issa30Nasia11Goli46Tindan21Kpallung32Nyagli3Bonia20Karemiga4Botingli22Kpelung14Guo1Arigu50Zanko18JanaUNF:6:K9EjwAYD4qyfHp/E1h352w==Household Member ID5.328968112049489.1.05.06.25333821108462640.010934.00.0UNF:6:aq0fgDmG1AfDdKZ8wKdJcA==Year of birth.1964.02272.0649.19416608204481986.08662.02038.20422535211179999.0UNF:6:lp0nEoc9hIDn40h9oL5MWQ==Month of birth-2.4344190140844675.8662.012.03.025.0520745928561152272.0-99.0UNF:6:gwoeey+J+dShOw7RK97mXw==Are you between 15 and 49 years old?1.0110035211267605.2272.02.00.104341916632942161.01.08662.01Yes2NoUNF:6:7q/1J5TSWD4g521eMMKB7A==Is the respondent between the ages of 15 and 49 years?2272.02.01.02156690140845071.00.145296462492253971.08662.0.1Yes2NoUNF:6:hb0vr1F4p6PwrLjbmbtQLQ==Are you currently pregnant or breastfeeding?2.593753.01.02272.00.64950316343577428662.04.0.4Do Not Know2Yes, Breastfeeding3Not Pregnant1Yes, PregnantUNF:6:pmgwI1bdYH74EDwxGYJPqA==Was [NAME] measured?0.360710828000281542089.02.01.0.1.08845.01.153662039253232No1YesUNF:6:VQa7OvI2Aa3B/gEXF5+MWg==Why was [NAME] not measured?4.00.64286765060887561.0.1.0321.010613.01.16510903426791313Unwilling2Too Ill Or Disabled4Other1Currently Not HomeUNF:6:BFVBgD4ubfWshYX1UxUI0g==Weight (KGS) - First measure10.240261342712426.159.456.027149321266971768.09166.055.126.2UNF:6:N95Rd6GzB30tM0UuyttC9Q==Weight (KGS) - Second measure9166.026.255.11768.0159.455.9391968325791859.661309533455924.UNF:6:1tBlZvmFPCe2oEop/e0dwg==Weight (KGS) - Third measure.56.642.8157.263.010871.022.82276331528727261.86190476190476UNF:6:Hixt6PQvDWUL3+rTcklfrQ==Height (CM) - First measure43.39166.01768.0.195.2158.9670814479638159.59.270353161059754UNF:6:oAFatO70VmgaRnPomVjnxQ==Height (CM) - Second measure9166.0158.952997737556569.425138996931732.1768.039.5195.2159.5UNF:6:lR3pso7MwdW8oTdB3L2T3A==Height (CM) - Third measure12.010922.0.167.5152.21666666666667162.6499999999999828.7716348109899663.4UNF:6:wJ3jEnfgUFjxUacqw16I0Q==Treat variable2.00.02.196725809401862710934.04.0.1.06977135639337421.01Control3AR20132ARNB4AR2014UNF:6:KAblhau+SFTv5t+d3OoGhA==Household ID0.01.011485944E9.8.860696113913974E88.01051513E88.541661655E89.125659330549651E73186.0UNF:6:fZ+HUOhiTuR2PBWF3+cJYQ==Region ID0.03186.08.010.08.8063402385436038.50.8769706541027473.8Northern Region10Upper West region9Upper East regionUNF:6:M8eyRF2aezsKzT34zbLwPQ==District ID3186.00.01.0.4.011.03.6587780732533985.1811048336470591Tolon/Kumbungu10Wa East8Wa West6Talensi-Nabdam3West Maprusi2Salvelugu5Kassena Nankana East4Kassena Nankana West7Bongo11Nadowli9Wa municipalUNF:6:YJHdnzb9o79FoNya3PkLoA==Community ID50.03186.0.25.145009416195970.01.025.014.79217627703581650Zanko40Siiriyin39Shia26Laogri16Gyilli19Kadia1Arigu4Botingli45Tiborgunayili30Nasia11Goli35Pase14Guo25Kukua23Kpirim5Cheyohi No. 221Kpallung18Jana7Duko15Gushie47Tingoli13Goriyiri43Tekuru38Sabulungo6Disiga27Nabogu44Tibali46Tindan37Sa Gie17Issa8Fian42Tanina9Gbanjon10Gia24Kukobila41Tabiase32Nyagli12Goripie49Yenduri3Bonia36Pigu20Karemiga22Kpelung28Namiyila33Nyangua2Basigu48Wogu29Naro34Papu31NatodorUNF:6:W0mUIRvVIDkcL0F7HpDz7g==Parcel ID1.99372253609541653186.02.0.9.00.01.01.093131754727528UNF:6:0cYKKToqmyGa+6x39H3hJg==How large is the land area of [PARCEL] that you use?0.03.5923163841808010.1.4.8023617801261370.02.03186.0UNF:6:eAYEStSay/+sUckKr7awdw==Land area converted in hectares9.999999747378752E-50.00.809388935565948528.3286113739013673186.01.94347826320489661.454195996110969.UNF:6:7oVYE2v28HocYHTx9ksM3g==Area unit for e3a1.0.1.00.00.068591160653244933186.04.01.00219711236660385Other1Acre3M24Football field2HectareUNF:6:+qGWjYfO9jPg6UBESXQ1jA==Does this parcel belong to your household?1.01.1880100439422470.0.5.01.03186.00.81361684186244491Yes, entirely3No, we rent it from others2Yes, communal4No, we sharecrop in5No, we borrow at no costUNF:6:EnhzUST6axZzv3YklGY8LA==Did your household farm this parcel during last cropping season?1.0188679245283020.19422500802509754165.03021.0.1.01.05.01Yes2No, left fallow3No, we rent it out to others55 No, we lend it at no cost44 No, we share-crop it outUNF:6:tFs3JgduG+TXrmoaYsXwug==[IF RENTED IN OR OUT] How much did your HH receive/pay in rent for this parcel?60.0.36.081.972222222222230.0500.082.569965522272133150.0UNF:6:YQLMWUOjdrxE8JIv/qt5cw==Time unit for e6a2.0277777777777777.3150.02.036.03.00.29141145296750931.02Per season3Per yea1Per monthUNF:6:Cciwwq+OrC29uL5huc7Yng==[IF SHARECROPPED IN OR OUT] % of harvest that was paid (in cash or in-kind)29.041.5100.043.737855457258084.03182.0.8.0UNF:6:TtDT4y9/mLqoPki+icmUdg==How did your household use this land during last cropping season? (1st)2.041.03145.01.9968203497615264.1.06.00.19039282705340676Other2Seasonal crops3Tree crops5Wood lots1Annual crops4LivestockUNF:6:dtWY9a+AM51ElNWw1mF+/Q==How did your household use this land during last cropping season? (2nd)1.5675276256394517.2.01.06.03151.035.02.11428571428571434Livestock5Wood lots1Annual crops6Other3Tree crops2Seasonal cropsUNF:6:F7qK7jtAhAdhZF7D40QM1A==What is the main source of water for this parcel during LAST COMPLETED CROPPING1.04.00.2384099033809598841.03145.01.01.0270270270270268.1Rain3Groundwater irrigation2Surface irrigation4A combination (rain and irrigation)UNF:6:d6/VFJGz0SUHlpLbReb7Tg==What kind of irrigation do you use?3.3529411764705889.02.03.01.59779259494797751.0.3135.03Pond diversion9Other8Drip irrigation6Water harvesting5Deep well1Ground water7Water cans4Shallow well2River diversionUNF:6:95C+dL3CPD0yI4vmU+FL3Q==What is the main means of irrigating this parcel?3135.00.83642563515070232.98039215686274551.05.0.2.03.04Threaded pumps1Electric pump3Gravity2Diesel/fuel pump5OtherUNF:6:R+99X70h57TcdfnLPWCipw==What is the type of the soil on this parcel?2.88015099087763151.03179.0.7.01.15850991613304746.03.05Silt4Sand/loam3Sand6Other1Clay2LoamUNF:6:DqFb8lSP38VND0h9RQnEsQ==What proportion of the [PARCEL] has crusted soils?0.0100.03.7494887525561964252.013.368583174893267.2934.00.0UNF:6:WOkEg6xNVLrpFyQUMLtkaQ==What is the color of the soil of this parcel?1.0.3179.02.01.6530318842275997.02.78200692041522536.02Brown6Grey4Red/Brown5Grey/Brown3Red1BlackUNF:6:YeT5mhye+yYMBGXy0+eu5A==What is the slope of this parcel?1.51462724127084413179.01.07.06.01.04554402767537871.0.2Terraced4Moderate slope3Gentile slope6Depression1Flat5Steep slopeUNF:6:NAUSZWoEZTUOjajaBkSSdA==When was the last time you experienced waterlogging problems on this [PARCEL]?.7.012.00.01.52846807172066110.03.1251519101910493179.01JAN4APR11NOV12DEC3MAR10OCT7JULY6JUN8AUG5MAY2FEB9SEPUNF:6:k8nNTLm6TcKTel+IZ//ZAQ==Time to get to [PARCEL] from house5.0.1.09799915087204573.12739855300408787.03.03179.01.02Less than 15 mins430 - 60 mins5More than 1 hour1Adjacent to homestead315 -30 minsUNF:6:yccNUYlzwZ2Fn9DIzLlLcw==GPS measurement2.03186.00.42431820931678761.76459510357815242.01.00.0.2No1YesUNF:6:AKjqe8T+uH5Adkh4wqtrTA==Treat variable4.01.01.07400174810496220.02.24042686754550643186.0.2.04AR20143AR20131Control2ARNBUNF:6:uTnfIkCLuGlc9Pst4V7XkQ==Household ID8.979024041376804E88.01051513E80.0.1.011485944E99.05331377E84612.09.439206183783537E7UNF:6:PlDHv/D8VM5Sfj/PavzGNw==Region ID8.010.0.8.9199913269731220.09.04612.00.90702896300002868Northern Region10Upper West region9Upper East regionUNF:6:TNsq6DmL7LajGdztuLUoNQ==District ID5.0.1.00.03.79379771422486875.6452732003467644612.011.08Wa West4Kassena Nankana West5Kassena Nankana East1Tolon/Kumbungu3West Maprusi11Nadowli7Bongo10Wa East9Wa municipal2Salvelugu6Talensi-NabdamUNF:6:GGhj11r4G78zfqyVrF5/Zg==Community ID14.69179497348701226.050.0.4612.025.499566348655660.01.040Siiriyin38Sabulungo39Shia33Nyangua35Pase37Sa Gie24Kukobila6Disiga17Issa44Tibali19Kadia18Jana5Cheyohi No. 216Gyilli31Natodor48Wogu15Gushie27Nabogu49Yenduri32Nyagli47Tingoli8Fian29Naro41Tabiase14Guo13Goriyiri26Laogri20Karemiga46Tindan22Kpelung25Kukua4Botingli42Tanina2Basigu23Kpirim50Zanko36Pigu12Goripie45Tiborgunayili34Papu43Tekuru9Gbanjon21Kpallung11Goli7Duko3Bonia30Nasia1Arigu28Namiyila10GiaUNF:6:Y+8zMZkE2wb9gsSUtHpJyQ==Parcel ID2.01.03178308641008960.01.09.0.1.83521248915871364612.0UNF:6:ml6mOHbXP1CMLT8kX6IQvw==How many plots does your household have in [PARCEL1.0.1.08.02.01843018213357171.35480169178194740.04612.0UNF:6:ONfJIuJ/+o4mK7rigloptg==Plot ID0.08.0.4612.01.01.01.51127493495228470.9328359857053805UNF:6:lJNqI0090vGfHzwdVwSaFQ==Did you in the past 5 years practice crop rotation in [PLO1.00.4985789975633625.2.00.02.04612.01.53837814397224881Yes2NoUNF:6:jjSuF7HgT9pXL+CPyrozmw==Did you in the past 5 years practice fallowing in [PLOT]?1.92194275802255034612.00.268290730451121561.02.00.02.0.1Yes2NoUNF:6:xPLXEuIlHl1maG+sA6GRWA==What year did the fallow period begin, the last time [PLOT] was left fallow?1969.825360.0-99.0.4252.02011.02013.0291.7388077781017UNF:6:8HwruaGWWd++cCDqGnqdTQ==For how many years was [PLOT] left fallow, the last time [PLOT] was left fallow?0.17222222222222572.0360.028.014.09471761639289-99.04252.0.UNF:6:5+h5rk5hxC99Aa0afhJh5A==What was the main method of ploughing [PLOT]13.03.895706851691212.41762284850623085.04612.00.01.0.5Tractor, disc plough7Tied Ridge tillage8Planting pits6Ridge tillage1Hand hoe12Mixed method10Strip/zonal tillage3Animal, disc plough9Zero/minimum tillage4Tractor, mouldboard plough13Other2Animal, mouldboard plough11RippingUNF:6:EZe5WTboD8xBiLJsZpr8/g==[ONLY IF F5a IS 9] In what year did you first begin to practice zero/minimum til2013.02009.04570.02012.02380952380961.25888249394676342.02013.0.UNF:6:rITa6wZS78gPSxr85aPbbA==Did you practice contour ploughing or pit planting on [PLOT]?.0.4999672705254412.01.50932350390286140.04612.02.01.02No1YesUNF:6:fr8KU9xibqS41E2hEIbQQw==How much manure did you apply to [PLOT]?1.2766695576756257.0.011.3884505262170234612.0500.00.00.0UNF:6:o2+I6sSSpyTZh9MjTIJCmA==How much manure did you apply to [PLOT]?10.1785714285714274136.03.42185589181672110.0476.06.021.0.5Cane/Basket10Ox-cart3Liter11Trailer7120 kg maxibag950kg minibag19Heap15Bale8100 kg maxibag20Bowl1Kilogram6Bucket2Gram13Headload12Lorry14Bunch17Plate18Cup16Sachet/tube21Other4Unit or PieceUNF:6:BcQ3EAV91ZXtqbQTYGZhNA==How much manure for this [PLOT] was brought onto the farm from outside [EXPRESSE0.014.7999276807107644.810924369747894.476.00.0200.04136.0UNF:6:BCbPMvCVwQFtflldUEKvNQ==If you bought the manure for this [PLOT] how much did it cost in unit prices [EX.5.81215469613258836.6154273238654540.0181.0420.00.04431.0UNF:6:UlQoeRRAnC4VPZ5iulZGjw==How often do you apply manure to this [PLOT]?1.62815126050420125.01.0.1.06344304092067721.04136.0476.02Most years3Some years1Every year4Rarely5Just onceUNF:6:83Nx9xk4ycKeGp4kfRrA2g==Which type of fertilizers did you use?.1.010.04612.00.010.02.51004107322188438.8159150043365328Other2NPK7Other3D. Compound10None6SA1Urea4S. Compound5Super D9A combinationUNF:6:yiHUru19o362pMONNd9IXw==How was the fertilizer applied?4.12634730538922155.0.2942.05.01670.01.01.20721337027379931At planting4Basal application3At planting and top dressing2Top dressing5At different stagesUNF:6:rZTN7FmFMxgAYz5iECq1Hw==How much fertilizer was used? [IF A COMBINATION OF FERTILIZERS IS USED, QUANTITY1670.04.694461077844307.2942.00.0110.06.487066510704343.0UNF:6:EzpZY8hZeHHrnU42GuDkVg==How much fertilizer was used? [IF A COMBINATION OF FERTILIZERS IS USED, QUANTITY9.36886227544910721.02942.02.12615609665604351670.09.0.1.0950kg minibag5Cane/Basket18Cup14Bunch12Lorry15Bale8100 kg maxibag7120 kg maxibag4Unit or Piece21Other1Kilogram10Ox-cart16Sachet/tube20Bowl2Gram13Headload11Trailer19Heap6Bucket3Liter17PlateUNF:6:aWsvWacEeLl31hTyzQ38yg==How much fertilizer was used? [IF A COMBINATION OF FERTILIZERS IS USED, QUANTITY0.0.1670.0283.1943113772462151.752018.331030284829581600.02942.0UNF:6:rlP8UOGK/RJ5C/unUE+kqg==What type of other organic inputs did you apply on [PLOT]?4612.0.1.01.11008280039072068.00.08.07.7198612315698141Household waste2Mulch/compost4Crop residue from this farm8None3Wood6A combination of organic inputs5Crop residue from other farms7OtherUNF:6:i+/j4S09UP7ykhgXnsSqew==How much other organic input did you apply on [PLOT]?295.04317.06.4459065886115960.01.7830508474576332.0.00.0UNF:6:eAgReuCVxfWNz4UsJc91Bw==How much other organic input did you apply on [PLOT]?10.04554.019.058.04.16522055970026611.137931034482758.6.06Bucket11Trailer20Bowl10Ox-cart8100 kg maxibag17Plate14Bunch3Liter19Heap13Headload15Bale4Unit or Piece1Kilogram950kg minibag18Cup7120 kg maxibag2Gram16Sachet/tube5Cane/Basket12Lorry21OtherUNF:6:OX6JHEfO/0hGLrfTDDQXPA==How much of other organic input for [PLOT] was brought onto the farm from outsid0.0295.00.735593220338982160.04317.04.80057262428582.0.0UNF:6:iQYLjN8X2fcoiM8SwEWNNw==If you bought the other organic input for this [PLOT] how much did it cost in un4595.013.7466573477079930.04.70588235294117750.00.017.0.UNF:6:dEukBZMYzq8IylLLCiwRFg==How many trees (herbs, shrubs, etc) does the household currently have on [PLOT]?0.011.732653946227158.0.06.020.724135135714015700.04612.0UNF:6:yoHWS9Ax2hO2n9qJMarbBw==How many trees have you planted on [PLOT] within the past 2 years? [ENTER NUMBER4612.00.00.0.16.3691274210185260.80507372072853861000.00.0UNF:6:E2KS7c0QYpH/pmymKO+muQ==How many trees have you removed from [PLOT] last year? [ENTER NUMBER].500.04612.00.01.71140503035556720.013.4012762519930780.0UNF:6:1ufrboZwokpt6VzloFLOpA==Do you have soil erosion on [PLOT]?1.00.02.04612.02.0.0.30873719135822891.89332176929748422No1YesUNF:6:Y0jqxBIOxK3x+iH2KcR1eg==What types of measures are you using to control soil erosion on [PLOT]? [LIST UP492.04120.08.72560975609756415.01.0.9.04.7086083399589191Stone terraces8Ripping14Other15None2Fanya juu/chini10Marker ridges13Mulch4Grass strips/barriers (e.g. vetiver grass)6Trash lines5Drainage/ditches12Box ridges3Other terrace7Planting trees11Ditche/swales9Contour bandsUNF:6:NgW3hlgahVitMnAtphm8sw==What types of measures are you using to control soil erosion on [PLOT]? [LIST UP1.04.99628214265789515.09.096551724137932.145.04467.09.03Other terrace5Drainage/ditches10Marker ridges12Box ridges15None2Fanya juu/chini11Ditche/swales14Other4Grass strips/barriers (e.g. vetiver grass)8Ripping13Mulch6Trash lines1Stone terraces9Contour bands7Planting treesUNF:6:aOJKW6JPYCCwTZehtE+ucA==What types of measures are you using to control soil erosion on [PLOT]? [LIST UP41.015.0.4.5721852596740311.05.04571.07.46341463414634115None3Other terrace4Grass strips/barriers (e.g. vetiver grass)14Other13Mulch8Ripping6Trash lines1Stone terraces7Planting trees12Box ridges11Ditche/swales9Contour bands2Fanya juu/chini10Marker ridges5Drainage/ditchesUNF:6:v47JDlog4V8KIIeO/Ghkzg==Treat variable0.01.0.2.02.2140069384215124.01.07471634118274234612.03AR20134AR20141Control2ARNBUNF:6:vVutFiDO64M5+36gIpZnDw==Household ID9.422257014389542E7.9.015447291614859E85183.01.011485944E99.05335308E80.08.01051513E8UNF:6:juxshcen5ISSDGAwGWi++w==Region ID8.0.0.00.90522998755313149.05183.08.95465946363108710.09Upper East region8Northern Region10Upper West regionUNF:6:oTJy40iGKZQSoBIa34BPsA==District ID5.0.5.8196025467873945183.00.01.011.03.80401604751880035Kassena Nankana East3West Maprusi2Salvelugu7Bongo1Tolon/Kumbungu11Nadowli10Wa East4Kassena Nankana West9Wa municipal8Wa West6Talensi-NabdamUNF:6:C8/oSUv2K/aWyPXDHcfBlw==Community ID14.60679607950696750.0.25.6195253714063751.026.00.05183.049Yenduri44Tibali13Goriyiri36Pigu22Kpelung29Naro43Tekuru19Kadia37Sa Gie28Namiyila48Wogu33Nyangua41Tabiase1Arigu9Gbanjon30Nasia50Zanko38Sabulungo16Gyilli14Guo18Jana40Siiriyin12Goripie34Papu6Disiga5Cheyohi No. 210Gia21Kpallung23Kpirim4Botingli11Goli39Shia27Nabogu32Nyagli3Bonia2Basigu25Kukua45Tiborgunayili47Tingoli42Tanina8Fian17Issa7Duko35Pase31Natodor46Tindan26Laogri20Karemiga15Gushie24KukobilaUNF:6:tHg5/Z5g+oB7e75TDf8FPA==Unique Household Identifier2984.99787767702765183.02.01900.23436106536593500.0.0.06666.0UNF:6:padwyJLPThKpGrrB1EHWtg==Parcel ID0.01.80455334748215561.05183.09.01.01579693253299722.0.UNF:6:os2u22b6RFAaEH+a0OT+9g==Plot ID.1.05183.08.00.01.01.50897163804746830.9377923132426913UNF:6:Zu0BmVaT/NjPu2+ilEK+9w==Crop ID16.05183.023.15685896199117611.00.0.16.21429648758799489.089Other uses28Bambara nuts61Avocado23Pigeonpea14Sorghum114Abelehi32Tomatoes49Other vegetable67Oil palm83Planted fodder38Ayoyo53Sweet potato1101Abrotia52Irish potato82Pasture/grazing31Cabbage74Shea Nut16Rice72Baobab29Other pulses, nuts37Garden Eggs34Amaranthus84Planted trees118ETUBI\Hybrid27Groundnut51Onion40Carrots22Soybean39Bitter Leaves66Dawadawa65Pawpaw/Papaya57Yam36Green pepper85Natural trees117PANA\Hybrid13Pearl millet112Mamaba62Banana115Omankwa63Mango56Ginger110Obaatampa69Other perennia15Finger millet119Aburohemaa79Other crops71Cotton12Wheat81Fallow1102Golden Jubilee19Other cereals68Sugar cane24Chickpea41Watermelon35Red pepper73Tobacco25Cowpea113Dadaba116Enii-Pibi21Bean59Other roots, tubers33Okra111Okomasa54Garlic55Cassava26Peas1199Other maize variety64Orange11MaizeUNF:6:ZXhjZC2zy5L1WxZMeIKFvA==What was the area planted with [CROP] on this plot?-Area50.02.0842461022301235067.00.06116.01.0.2.7326938736291084UNF:6:WJXwTx946lSy5vjyTPHadA==Land area converted in hectares117.05066.0.1.10600807184718940.84351577931348880.404694467782974249.999999747378752E-520.234722137451172UNF:6:75OeXEVnvLCkM3CxaWB1XA==What was the area planted with [CROP] on this plot?-Unit0.087702894234750635067.05.0116.01.0025656206828497.1.01.02Hectare1Acre5Other3M24Football fieldUNF:6:3b6PPhGeiactOy3orZ/ckw==What was the % of area planted with [CROP] on this plot? [PLAY THE "50 BEANS GAM100.024.08226665236911.05183.087.49951765386822100.00.0.UNF:6:Le7BCWpUW/ifbPv7AVfqCw==How much [CROP] was harvested from this [PLOT]?-Area93.05689757252722116.05067.0.586.720434401912113300.04.00.0UNF:6:GVFNr+TmH207S+IEZ0329A==How much [CROP] was harvested from this [PLOT] - KG?2591.14036198462140.0300.04891.066500.0292.0.882.9295460767952UNF:6:r0ZZF/hI3UAHkRel/My+eg==How much [CROP] was harvested from this [PLOT]?-Unit21.05067.08.88158673771464.116.08.04.0016023252059631.02Gram13Headload16Sachet/tube5Cane/Basket12Lorry7120 kg maxibag11Trailer8100 kg maxibag15Bale950kg minibag14Bunch3Liter6Bucket17Plate1Kilogram21Other19Heap10Ox-cart20Bowl4Unit or Piece18CupUNF:6:1008FMOkY8bpgDn3aTRtWA==Conversion factor [UNIT] to kg38.739534383134564891.0100.00.600000023841857986.87336945460636.292.0120.0UNF:6:ixUdEIAFOgJzQlgGibS1aQ==Which family member had main responsibility for farming this [PLOT]?1.01.482928754687191.4.05067.01.00.9430353653035717116.02Spouse of head4Other1Head3Both head and spouseUNF:6:QBU1n6sDjBnV8zK1wA36Mw==How was the yield of your household's harvest in [LAST COMPLETED CROPPING SEASON4.0753897769883656.01.091835354986451.0116.04.0.5067.03Roughly the same6Don't know2Little higher4Little lower1Much higher5Much lowerUNF:6:zJjjd6rUP5SKl064aR94Zw==What is the main reason for the difference in yield between [LAST COMPLETED CROP1.01087.02.0.3.43652343752.5518073316405394096.09.04Improved seed use8Multiple reasons7Pests or disease2Bad rain fall6Soil degradation1Good rainfall3Fertilizer use5Use of chemicals(e.g., insecticides,weed killers)9OtherUNF:6:E5405BLW7p5bxPVQq0KtZQ==Treat2.20007717538105131.07599325095280635183.02.04.0.0.01.01Control2ARNB4AR20143AR2013UNF:6:lXYBGx2uXM/ZYBm+lvTx/Q==Household ID5221.08.01051513E89.013415933673604E89.05335307E81.011485944E9.9.424505874499105E70.0UNF:6:gMM8pV6erIErkn851aQSKw==Region ID.9.010.08.05221.08.9526910553534140.00.90542370541961889Upper East region10Upper West region8Northern RegionUNF:6:JqMENyClUBEKBGk+pZlepQ==District ID3.80624921749668275221.05.01.00.05.81325416586846411.0.5Kassena Nankana East6Talensi-Nabdam9Wa municipal4Kassena Nankana West3West Maprusi1Tolon/Kumbungu10Wa East11Nadowli8Wa West2Salvelugu7BongoUNF:6:epXo8S8ybEUMfQIBB9rkfg==Community ID14.607082150599915221.00.0.1.026.050.025.62555066079311347Tingoli42Tanina2Basigu39Shia14Guo30Nasia43Tekuru24Kukobila40Siiriyin13Goriyiri5Cheyohi No. 26Disiga21Kpallung17Issa20Karemiga11Goli35Pase15Gushie50Zanko33Nyangua34Papu12Goripie37Sa Gie3Bonia41Tabiase49Yenduri29Naro27Nabogu19Kadia1Arigu26Laogri46Tindan16Gyilli18Jana32Nyagli28Namiyila31Natodor4Botingli36Pigu38Sabulungo45Tiborgunayili48Wogu23Kpirim22Kpelung7Duko44Tibali10Gia8Fian25Kukua9GbanjonUNF:6:efkOMhRcs45p8MW831aoqA==Parcel ID5221.06.894367452579084.9.02.00.01.343037732235207-99.0UNF:6:ZdjorA5CopohsrqyiHeVdw==Plot ID.5221.00.06.7174431706580038.01.04692587626891291.0-99.0UNF:6:25hlLzMxMzb586PxAsnvuw==Crop ID11.00.016.20528489313528616.023.1492051331163155221.0.89.022Soybean74Shea Nut39Bitter Leaves36Green pepper57Yam62Banana37Garden Eggs84Planted trees35Red pepper16Rice41Watermelon14Sorghum85Natural trees26Peas61Avocado52Irish potato81Fallow64Orange23Pigeonpea12Wheat82Pasture/grazing11Maize65Pawpaw/Papaya59Other roots, tubers13Pearl millet66Dawadawa31Cabbage24Chickpea21Bean73Tobacco83Planted fodder67Oil palm28Bambara nuts53Sweet potato25Cowpea79Other crops54Garlic71Cotton34Amaranthus63Mango-99Unknown33Okra27Groundnut38Ayoyo72Baobab89Other uses40Carrots19Other cereals15Finger millet56Ginger68Sugar cane49Other vegetable29Other pulses, nuts69Other perennial51Onion32Tomatoes55CassavaUNF:6:DVkJQq8dM2O04FUP0YJvmA==..seed saved from the previous harvest [WRITE 0 IF NO SAVED SEED AND -99 IF VALU.3.0117.05104.082.00566222570394-99.0461.118340701350810000.0UNF:6:mSDFF9BPwW+nJ21wfBTdSg==...seed saved from the previous harvest - KG1127.02155.60213056683916.2000007629394534094.054600.003906250.010000000707805157.385.7816130542047UNF:6:McKa/+kLF0A/YFh9b3qxfQ==..seed saved from the previous harvest [WRITE 0 IF NO SAVED SEED AND -99 IF VALU4300.021.020.0.5.702786006125196921.01.016.92860465116280411Trailer17Plate3Liter950kg minibag7120 kg maxibag10Ox-cart4Unit or Piece1Kilogram14Bunch12Lorry19Heap20Bowl5Cane/Basket15Bale21Other6Bucket13Headload16Sachet/tube2Gram18Cup8100 kg maxibagUNF:6:DYZcRCO56f07GgSeO3dN9A==Conversion factor [UNIT] to kg0.00100000004749745134094.015.2873500403234171127.02.799999952316284120.0.32.60119339963483UNF:6:pE4M1jKGoNHqUEy/90iirw==..seed saved from the previous harvest [WRITE 0 IF NO SAVED SEED AND -99 IF VALU.921.04300.060000.0-99.0101.3262209302321515.0999.6685766181355UNF:6:ecQVhuxC9ihfTzzIcBO9vQ==...seed obtained for free or in barter. [WRITE 0 IF NO FREE/BARTER SEED AND -99.30.979715878362061.00453565830717540.05104.02000.0117.0-99.0UNF:6:gw8jMJnMbQAwWGdZsAIUag==...seed obtained for free or in barter - KG6600.0.5095.0126.09.00.0010000000474974513149.81008755461406693.3508712590916UNF:6:csjicxGSaau24dkLJunlTg==...seed obtained for free or in barter. [WRITE 0 IF NO FREE/BARTER SEED AND -9921.0.1.0171.06.383075532278609520.016.1228070175438565050.016Sachet/tube11Trailer6Bucket10Ox-cart20Bowl4Unit or Piece5Cane/Basket1Kilogram12Lorry3Liter2Gram950kg minibag19Heap21Other17Plate14Bunch18Cup13Headload8100 kg maxibag7120 kg maxibag15BaleUNF:6:TzkDsVD97i0qQCarByT4Sg==Conversion factor [UNIT] to kg.5095.0100.020.787656038675960.00100000004749745132.7999999523162847.469849215242974126.0UNF:6:TFyNHrQLvDGHrrUjgr9RFw==...seed obtained for free or in barter. [WRITE 0 IF NO FREE/BARTER SEED AND -995050.027.43859649122808700.0.6.0171.0-99.080.08844835787191UNF:6:qhc6rj4b9iVnBsnzULYYCw==...traditional seed that was purchased. [WRITE 0 IF NO TRADITIONAL SEED IS PURCH5104.02.48761755485897245.79391446346789.-99.0117.02000.00.0UNF:6:A0/ICykbRf1crtdPFGV5mg==...traditional seed that was purchased - KG4564.00.540000021457672181.38557089472835.6600.0424.639873145793657.013.5UNF:6:1SliU4LmZ4Jql6zEZe9iJw==...traditional seed that was purchased. [WRITE 0 IF NO TRADITIONAL SEED IS PURCH17.93886462882096.20.01.021.04534.0687.04.7612736117394543Liter10Ox-cart18Cup13Headload2Gram1Kilogram21Other6Bucket15Bale950kg minibag4Unit or Piece14Bunch19Heap11Trailer5Cane/Basket8100 kg maxibag20Bowl7120 kg maxibag12Lorry17Plate16Sachet/tubeUNF:6:6jQCotCrpzaWuXlmcudemA==Conversion factor [UNIT] to kg14.553957399803020.30000001192092896657.0120.031.805008028934342.799999952316284.4564.0UNF:6:jS5iz8SWwHBAh3htIj8FKQ==...traditional seed that was purchased. [WRITE 0 IF NO TRADITIONAL SEED IS PURCH.687.00.0900.076.939427482015894534.021.046.03930131004359UNF:6:XvYVARey/lrj7FyEsyiNJw==...improved seed that was purchased. [WRITE 0 IF NO IMPROVED SEED IS PURCHASED A0.4492946708464058.11.006278982700024-99.05104.0690.00.0117.0UNF:6:1z9jpAKnkmd0PEN7MOWYWA==...improved seed that was purchased - KG690.05087.079.32744230064266134.00.400000005960464515.0.42.60167916474949UNF:6:IDrlIb0NQu2GMwXLo3kbDw==...improved seed that was purchased. [WRITE 0 IF NO IMPROVED SEED IS PURCHASED A171.013.2690058479532151.021.07.717674798795665.5050.016.04Unit or Piece15Bale3Liter18Cup10Ox-cart7120 kg maxibag14Bunch6Bucket1Kilogram5Cane/Basket17Plate16Sachet/tube12Lorry2Gram20Bowl11Trailer19Heap8100 kg maxibag13Headload950kg minibag21OtherUNF:6:L8tDkwxHlqZ+kBEr50A0ow==Conversion factor [UNIT] to kg2.7999999523162840.400000005960464527.1354909120823313.548880602441619120.05087.0.134.0UNF:6:l3pktS2a6x9aGiKikr/+QA==...improved seed that was purchased. [WRITE 0 IF NO IMPROVED SEED IS PURCHASED A-99.0.171.015.05050.0207.41410102769182200.062.369590643274805UNF:6:DZlTJOgHeBmBIj6MUFUsuQ==...pesticides, herbicides [WRITE 0 IF NO PESTICIDES/H ERBICIDES AND -99 IF VALUE0.0-99.02516.016.3819749216297345104.0117.0.58.51086062962242UNF:6:joykY2jL9z1FFGS1qH++JQ==...other non- labor expenses (e.g., crop residues, off-farm manure, animal or eq1750.00.0-99.033.57435344827589.117.082.792388887058145104.0UNF:6:Sz4cOrsEiITpAD+UektmKw==Treat variable2.01.07623187441103771.02.19708868032943540.04.0.5221.04AR20143AR20131Control2ARNBUNF:6:paqtkbs71U6W4zCrJaqOjg==Household ID.9.424505874499105E78.01051513E81.011485944E99.013415933673604E80.09.05335307E85221.0UNF:6:gMM8pV6erIErkn851aQSKw==Region ID10.08.00.05221.08.952691055353414.0.90542370541961889.09Upper East region8Northern Region10Upper West regionUNF:6:JqMENyClUBEKBGk+pZlepQ==District ID1.011.05.03.8062492174966827.0.05.8132541658684645221.011Nadowli6Talensi-Nabdam9Wa municipal5Kassena Nankana East4Kassena Nankana West2Salvelugu1Tolon/Kumbungu8Wa West10Wa East3West Maprusi7BongoUNF:6:epXo8S8ybEUMfQIBB9rkfg==Community ID0.050.05221.01.026.0.14.6070821505999125.6255506607931133Bonia2Basigu4Botingli50Zanko14Guo44Tibali15Gushie21Kpallung24Kukobila35Pase9Gbanjon7Duko38Sabulungo43Tekuru49Yenduri20Karemiga18Jana39Shia13Goriyiri11Goli46Tindan42Tanina31Natodor40Siiriyin27Nabogu45Tiborgunayili36Pigu1Arigu26Laogri37Sa Gie32Nyagli10Gia22Kpelung28Namiyila5Cheyohi No. 212Goripie6Disiga17Issa19Kadia25Kukua8Fian48Wogu41Tabiase33Nyangua16Gyilli29Naro23Kpirim34Papu30Nasia47TingoliUNF:6:efkOMhRcs45p8MW831aoqA==Parcel ID6.8943674525790842.00.01.343037732235207-99.05221.0.9.0UNF:6:pDzNCEHGQWhj5+TMabLisQ==Plot ID0.01.04692587626891296.7174431706580031.0.-99.05221.08.0UNF:6:mJZQuVxXOXdHX6yQM4U11A==Crop ID0.0.16.20528489313528616.089.011.023.1492051331163155221.079Other crops15Finger millet65Pawpaw/Papaya55Cassava71Cotton19Other cereals27Groundnut73Tobacco51Onion54Garlic52Irish potato39Bitter Leaves28Bambara nuts40Carrots22Soybean12Wheat31Cabbage36Green pepper13Pearl millet66Dawadawa89Other uses49Other vegetable62Banana63Mango83Planted fodder29Other pulses, nuts84Planted trees38Ayoyo21Bean14Sorghum59Other roots, tubers69Other perennial23Pigeonpea67Oil palm34Amaranthus72Baobab64Orange25Cowpea37Garden Eggs81Fallow68Sugar cane53Sweet potato57Yam74Shea Nut11Maize32Tomatoes26Peas16Rice24Chickpea61Avocado33Okra56Ginger41Watermelon35Red pepper-99Unknown82Pasture/grazing85Natural treesUNF:6:DVkJQq8dM2O04FUP0YJvmA==land preparation (including harrowing & ridging)273.04.07.88244514106578455104.012.827099557802201.0.0117.0UNF:6:MZU6GXzkUq1aCTAJdyHvPA==land preparation (including harrowing & ridging)0.00.03.417599402048578.0.6275470219435759117.05104.0160.0UNF:6:aYTvJNATyTJu+pmShIiyOw==planting2.08.500693756432343.5104.04.8671630094045435117.0150.00.0UNF:6:8PmOxibs3tEHQu4I5KDgeA==planting8.803683385579953117.05104.010.384564084412654140.00.06.0.UNF:6:n4ZDzdHMh4/ApEwsbidLrg==fertilizing117.00.01.5397727272727113.92057952161365540.0.5104.0105.0UNF:6:HleB/YAjDpfo0SuMCiI/pw==fertilizing0.0120.05104.00.00.9557210031347994.3.527001551806318117.0UNF:6:fEBoXqu6GG7KhPO7CWtzsA==weeding117.05104.0240.0.0.015.9694357366771816.83523939578545412.0UNF:6:c4Qc5dyFuwQGGL6iGAbExA==weeding150.00.0117.05.6811363638853311.682014106583066.5104.00.0UNF:6:a8ZeWBGFBywoSWmVu6wIZw==harvesting.6.05104.016.9858063300216920.0117.0280.010.553487460815244UNF:6:9AHwync5itXMeGqPRzWfcw==harvesting8.0.20.727941126096347690.013.4700235109718260.05104.0117.0UNF:6:qNlTVUEzIdyeC52sJeldfw==other (i.e., spraying for pesticides, herbicides, weedicides).0.05104.0102.03.572796233768049117.00.01.2370689655172606UNF:6:BVcY1MYixlDZOm9Px46SQQ==other (i.e., spraying for pesticides, herbicides, weedicides)0.01.406940951693296540.00.176332288401252845104.00.0.117.0UNF:6:gKGNgQZOkqh2xQibu2BzYQ==How much labor for [CROP] was family labor?2.01.0.5104.01.04745445254624172.00607366771160445.0117.05None (0%)4Some (~25%)1All (100%)3About half (~50%)2Most (75%)UNF:6:p2wkL5HwW526XY8BdUpakQ==How much labor for [CROP] was exchange labor?.5.00.80326497966497191.04.02223.04.1084056037358232998.02Most (75%)1All (100%)5None (0%)4Some (~25%)3About half (~50%)UNF:6:/iNdfinFXPq4hp9yVZ4OEg==How much labor for [CROP] was hired labor?2995.01.00.99781662674840574.1392320534223694.05.02226.0.2Most (75%)4Some (~25%)1All (100%)3About half (~50%)5None (0%)UNF:6:Iv8N06DVJi5g3lkisDBu0Q==Which percentage of labor for [CROP] was from females?3.5311920938851075.01.00.9696171811133818.4.03602.01619.05None (0%)4Some (~25%)1All (100%)2Most (~75%)3About half (~50%)UNF:6:0X48GEIWhMerEIf63yqmuA==What was the average daily wage paid to hired laborer for [CROP]? [WRITE ESTIMAT0.012.3165795197724481542.0400.03679.05.900129701686135.0.UNF:6:fXWwSe/IFp8umVCMbAK6ZA==What was the average daily wage paid to hired laborer for [CROP]? [WRITE ESTIMAT0.0100.0.3.99379246448424353.43911551445968973602.04.01619.0UNF:6:NGFZVLiV+n68WAmJXZhXTg==Treat variable1.05221.01.07623187441103770.02.0.2.19708868032943544.03AR20132ARNB1Control4AR2014UNF:6:paqtkbs71U6W4zCrJaqOjg==Household ID4455.00.09.471080869186005E79.05335306E89.026165514511828E8.1.011485944E98.01051513E8UNF:6:/8nmo4pZCeHigBa8POsNBg==Region ID8.04455.00.91003936902090319.08.96543209876545610.00.0.8Northern Region9Upper East region10Upper West regionUNF:6:1iMoJlZjdbuqJnw6TyCZZw==District ID11.0.4455.03.81702531480487071.05.00.05.8136924803589858Wa West1Tolon/Kumbungu4Kassena Nankana West6Talensi-Nabdam9Wa municipal10Wa East3West Maprusi11Nadowli5Kassena Nankana East2Salvelugu7BongoUNF:6:s7mpquk0gRV0/OrR29btiw==Community ID0.01.0.26.04455.025.66374859708171714.55952814366417650.020Karemiga2Basigu12Goripie29Naro25Kukua38Sabulungo11Goli23Kpirim31Natodor21Kpallung7Duko17Issa9Gbanjon6Disiga36Pigu48Wogu3Bonia10Gia47Tingoli49Yenduri42Tanina16Gyilli24Kukobila46Tindan1Arigu45Tiborgunayili32Nyagli43Tekuru39Shia22Kpelung30Nasia27Nabogu14Guo19Kadia50Zanko41Tabiase35Pase18Jana28Namiyila40Siiriyin13Goriyiri37Sa Gie26Laogri44Tibali5Cheyohi No. 28Fian34Papu33Nyangua15Gushie4BotingliUNF:6:je/fGejrQc2vDRLxL6KueQ==Unique Household Identifier4455.00.06666.03011.60830527497.1892.5836347265653506.02.0UNF:6:oPLEkez0yi/LbKzutNZ9gw==Crop nameUNF:6:AvJGeVscR+LU4+6ulUi2IQ==Crop ID12.8656553477256174455.011.016.021.5806958473625.71.00.027Groundnut34Amaranthus31Cabbage36Green pepper69Other perennial63Mango64Orange16Rice74Shea Nut83Planted fodder12Wheat85Natural trees73Tobacco54Garlic33Okra38Ayoyo49Other vegetable22Soybean41Watermelon26Peas59Other roots, tubers29Other pulses, nuts57Yam24Chickpea32Tomatoes67Oil palm79Other crops82Pasture/grazing55Cassava21Bean68Sugar cane89Other uses52Irish potato14Sorghum-99Unknown62Banana66Dawadawa61Avocado53Sweet potato56Ginger72Baobab37Garden Eggs23Pigeonpea65Pawpaw/Papaya39Bitter Leaves28Bambara nuts35Red pepper84Planted trees11Maize40Carrots25Cowpea19Other cereals81Fallow51Onion13Pearl millet71Cotton15Finger milletUNF:6:dAG0DLs+VBkNaxUgJKs++A==Did your household grow [CROP]?4455.01.01.00.01.0.0.01.02No1YesUNF:6:JLGSvpGv2SD7cgObKBWDRA==How much of the seed you used was saved from previous harvest?1.07192374494817181.5016835016835064.04455.01.01.00.0.4None2Small amount1All3Large amountUNF:6:P/sJjS96/qjHm0wnqT4HNQ==Where did you obtain the seed that was not saved from previous harvest?1.02.0843.010.03612.02.3184492115705593.0094899169632265.9Multiple sources6NGO7Research institute4Cooperative10Other1Farmer5Extension service8Seed company3Input dealer2Grain traderUNF:6:Y8Ov52QTjoaLn+iydnw3xw==How did you pay for this seed?2.09.03612.01.0.0.8406244241742435843.01.99881376037959616A combination2Cash5Labor exchange1Free9Other3Credit4SubsidyUNF:6:VbqdmIkMx11Ql2iNDIEt/g==How many minutes does it take to get to this supplier using the usual mode of tr41.066927983807894600.0843.0-99.032.50177935943056430.0.3612.0UNF:6:Vli6QYbX8TrXreCA9ojYwQ==What was the name of the main variety of [CROP] seed used by your household?1199.011.0196.713253768131443840.0.110.0142.04065040650408615.0113Dadaba (Maize)118ETUBI\Hybrid (Maize)224Afayak (Soyabean)252Apagbaala (Cowpeas)25Cowpeas (not better specified)431White (Sweet Potato)551Bitter (Cassava)555Otuhia (Cassava)114Abelehi (Maize)161Bouake 189 (Rice)553Bankye Broni (Cassava)160Marhal Parfume (Rice)711FK37 (Cotton)27Groundnut (not better specified)554Sika Bankye (Cassava)430Red (Sweet Potato)710Stamp (Cotton)22Soyabean (not better specified)169Other rice variety (Rice)220Enidaso (Soyabean)320Roma (Tomato)329Other tomato variety (Tomato)552Ampong (Cassava)164Togo Marshal (Rice)227Quarshie (Soyabean)270Chinese (Groundnut)110Obaatampa (Maize)1101Abrotia (Maize)250Zaayura (Cowpeas)439Other sweet potato variety (Sweet Potato)115Omankwa (Maize)222Soung-Pun (Soyabean)32Tomatoes (not better specified)251Paditua (Cowpeas)117PANA\Hybrid (Maize)259Other cowpeas variety (Cowpeas)321Manglo (Tomato)165Jasmine 85 (Rice)279Other groundnut variety (Groundnut)559Other cassava variety (Cassava)1199Other maize variety (Maize)1102Golden Jubilee (Maize)221Jenguma (Soyabean)71Cotton (not better specified)116Enii-Pibi (Maize)226Songotra (Soyabean)11Maize (not better specified)166Torks (Rice)112Mamaba (Maize)719Other cotton variety (Cotton)229Other bean variety (Soyabean)163ITA 324 (Rice)111Okomasa (Maize)55Cassava (not better specified)162ITA 320 (Rice)225Salintunya 1 (Soyabean)223Sonda (Soyabean)16Rice (not better specified)119Aburohemaa (Maize)550Sweet (Cassava)UNF:6:0/aR3ouhF4b8o4FVc5T/bQ==What was the name of the main variety of [CROP] seed used by your household?239.687511.0.346.438177607860271199.048.04407.0111.01101Abrotia (Maize)223Sonda (Soyabean)430Red (Sweet Potato)550Sweet (Cassava)220Enidaso (Soyabean)32Tomatoes (not better specified)1102Golden Jubilee (Maize)110Obaatampa (Maize)227Quarshie (Soyabean)279Other groundnut variety (Groundnut)710Stamp (Cotton)224Afayak (Soyabean)554Sika Bankye (Cassava)161Bouake 189 (Rice)270Chinese (Groundnut)320Roma (Tomato)222Soung-Pun (Soyabean)229Other bean variety (Soyabean)165Jasmine 85 (Rice)116Enii-Pibi (Maize)27Groundnut (not better specified)16Rice (not better specified)22Soyabean (not better specified)431White (Sweet Potato)111Okomasa (Maize)1199Other maize variety (Maize)719Other cotton variety (Cotton)226Songotra (Soyabean)118ETUBI\Hybrid (Maize)552Ampong (Cassava)439Other sweet potato variety (Sweet Potato)555Otuhia (Cassava)551Bitter (Cassava)163ITA 324 (Rice)559Other cassava variety (Cassava)329Other tomato variety (Tomato)164Togo Marshal (Rice)169Other rice variety (Rice)71Cotton (not better specified)119Aburohemaa (Maize)162ITA 320 (Rice)11Maize (not better specified)251Paditua (Cowpeas)112Mamaba (Maize)160Marhal Parfume (Rice)321Manglo (Tomato)221Jenguma (Soyabean)259Other cowpeas variety (Cowpeas)225Salintunya 1 (Soyabean)252Apagbaala (Cowpeas)55Cassava (not better specified)115Omankwa (Maize)113Dadaba (Maize)166Torks (Rice)25Cowpeas (not better specified)553Bankye Broni (Cassava)711FK37 (Cotton)114Abelehi (Maize)250Zaayura (Cowpeas)117PANA\Hybrid (Maize)UNF:6:SA9gdy6ah5Wz5M28M9hw3A==What was the name of the main variety of [CROP] seed used by your household?1199.04441.0268.4285714285714411.014.0388.9782897413554170.5.115Omankwa (Maize)270Chinese (Groundnut)1102Golden Jubilee (Maize)552Ampong (Cassava)555Otuhia (Cassava)118ETUBI\Hybrid (Maize)259Other cowpeas variety (Cowpeas)439Other sweet potato variety (Sweet Potato)1101Abrotia (Maize)223Sonda (Soyabean)162ITA 320 (Rice)111Okomasa (Maize)252Apagbaala (Cowpeas)553Bankye Broni (Cassava)114Abelehi (Maize)224Afayak (Soyabean)554Sika Bankye (Cassava)227Quarshie (Soyabean)160Marhal Parfume (Rice)321Manglo (Tomato)71Cotton (not better specified)165Jasmine 85 (Rice)169Other rice variety (Rice)164Togo Marshal (Rice)25Cowpeas (not better specified)229Other bean variety (Soyabean)112Mamaba (Maize)55Cassava (not better specified)329Other tomato variety (Tomato)251Paditua (Cowpeas)320Roma (Tomato)710Stamp (Cotton)431White (Sweet Potato)220Enidaso (Soyabean)113Dadaba (Maize)119Aburohemaa (Maize)222Soung-Pun (Soyabean)1199Other maize variety (Maize)117PANA\Hybrid (Maize)27Groundnut (not better specified)166Torks (Rice)279Other groundnut variety (Groundnut)163ITA 324 (Rice)221Jenguma (Soyabean)711FK37 (Cotton)32Tomatoes (not better specified)250Zaayura (Cowpeas)430Red (Sweet Potato)559Other cassava variety (Cassava)116Enii-Pibi (Maize)16Rice (not better specified)11Maize (not better specified)226Songotra (Soyabean)719Other cotton variety (Cotton)225Salintunya 1 (Soyabean)110Obaatampa (Maize)550Sweet (Cassava)22Soyabean (not better specified)161Bouake 189 (Rice)551Bitter (Cassava)UNF:6:rBkzGxKSjRF2U/riOIbIlQ==Did you have any problems with this variety? [LIST UP TO THREE MAIN PROBLEMS]3840.0615.01.014.0.4.28191613088885510.88292682926829614.010Shelf life13Other12Multiple problems4Poor feed7Vulnerable to drought9Poor straw8Vulnerable to flooding14No problem6Can't save3Poor taste1Needs inputs5Too costly2Low quality11Poor germinationUNF:6:8ZAa3z8jOMNDLETDJ8ZYuA==Did you have any problems with this variety? [LIST UP TO THREE MAIN PROBLEMS]1.014.0341.04114.014.010.5601173020527854.433833023504317.1Needs inputs8Vulnerable to flooding7Vulnerable to drought14No problem5Too costly6Can't save11Poor germination10Shelf life3Poor taste9Poor straw12Multiple problems2Low quality4Poor feed13OtherUNF:6:AyyiExK/GFV9WW2DSXBMhw==Did you have any problems with this variety? [LIST UP TO THREE MAIN PROBLEMS]4.03122634510209911.86614173228346314.04201.014.0254.01.0.7Vulnerable to drought4Poor feed14No problem13Other11Poor germination2Low quality9Poor straw3Poor taste5Too costly10Shelf life12Multiple problems1Needs inputs8Vulnerable to flooding6Can't saveUNF:6:/b5SctOU4hb8LwvCSjdGZw==What are the two most important characteristics that the [CROP] seed variety sho3.44128113879003733612.013.0843.03.341213779546234.1.02.010Good taste2Grain size6Low labor needs13Other5Flood tolerance9Market demand7Low input needs12Fodder quality4Drought tolerance8Ease of processing1Grain yield3Disease/pest resistance11Good colorUNF:6:K3zsKcp2/aIUbseafIp5RA==What are the two most important characteristics that the [CROP] seed variety sho3627.0828.05.1557971014492743.6995542353644094.0.1.013.09Market demand5Flood tolerance7Low input needs10Good taste4Drought tolerance12Fodder quality13Other2Grain size1Grain yield8Ease of processing11Good color3Disease/pest resistance6Low labor needsUNF:6:Emh5kvEz12bEjtJ4bk0fZA==Treat variable.0.01.04.04455.01.07110550940940862.02.22626262626262734AR20141Control3AR20132ARNBUNF:6:viqpqkb5atkaqw60w0SfkQ==Household ID.9.427511625417435E75185.09.015857031436887E81.011485944E99.05335308E88.01051513E80.0UNF:6:c2xMDlZvDdDftTJDfVIMSQ==Region ID0.09.05185.00.9057141992756319.10.08.08.955062680810068Northern Region9Upper East region10Upper West regionUNF:6:6VT0prXOUn2fU513Pqc7gA==District ID3.80776279214185951.00.05.0.5.82005785920908411.05185.01Tolon/Kumbungu9Wa municipal5Kassena Nankana East6Talensi-Nabdam4Kassena Nankana West3West Maprusi2Salvelugu10Wa East11Nadowli8Wa West7BongoUNF:6:zXaooS/Cg00YKx1YnAGlXA==Community ID1.00.026.050.014.620294258309355185.025.63934426229496.29Naro10Gia4Botingli30Nasia45Tiborgunayili1Arigu17Issa39Shia40Siiriyin3Bonia31Natodor37Sa Gie23Kpirim8Fian2Basigu5Cheyohi No. 248Wogu43Tekuru27Nabogu7Duko18Jana44Tibali50Zanko38Sabulungo13Goriyiri9Gbanjon33Nyangua35Pase24Kukobila6Disiga19Kadia22Kpelung34Papu47Tingoli41Tabiase28Namiyila15Gushie49Yenduri25Kukua16Gyilli42Tanina14Guo11Goli36Pigu21Kpallung26Laogri46Tindan20Karemiga32Nyagli12GoripieUNF:6:q2OTZULkhcuIqOwxaHyyww==Parcel ID2.06.9167963064842799.0.-99.00.01.33866923818707445185.0UNF:6:cbjPB+Zi92lIY2yBMhhwIg==Plot ID1.0430086788813855.5185.0-99.00.06.74021079517447858.01.0UNF:6:Yce4m9S2VH8+slvKVxuc0Q==What crops were grown during [LAST COMPLETED CROPING SEASON]?11.0.15.82866606194869322.907810993249750.016.089.05185.049Other vegetable14Sorghum19Other cereals53Sweet potato33Okra35Red pepper66Dawadawa61Avocado40Carrots64Orange34Amaranthus89Other uses52Irish potato-99Unknown16Rice74Shea Nut36Green pepper57Yam84Planted trees85Natural trees51Onion25Cowpea32Tomatoes11Maize38Ayoyo23Pigeonpea81Fallow27Groundnut67Oil palm69Other perennial29Other pulses, nuts13Pearl millet21Bean22Soybean26Peas62Banana39Bitter Leaves73Tobacco24Chickpea31Cabbage28Bambara nuts79Other crops59Other roots, tubers55Cassava65Pawpaw/Papaya54Garlic72Baobab82Pasture/grazing41Watermelon83Planted fodder68Sugar cane56Ginger37Garden Eggs63Mango15Finger millet71Cotton12WheatUNF:6:xckrPRSQF3V35IWVOc6AXQ==How much failure in [CROP] did you incur before the harvest?5088.0.2.097.015.4985161163520823500.00.0116.43123755120995UNF:6:LnnG9R07XuCwUiDQziRA5g==How much failure in [CROP] did you incur before the harvest? - KG300.03566.01.350000023841858.11550.01040.9757939564563626.75455690636771619.0UNF:6:lF1SQXVLY24a/wjgf8zgSw==How much failure in [CROP] did you incur before the harvest?21.03651.0.1534.03.8749961550838884.08.9709668583949478.06Bucket3Liter19Heap16Sachet/tube17Plate5Cane/Basket8100 kg maxibag18Cup10Ox-cart13Headload950kg minibag14Bunch20Bowl15Bale11Trailer2Gram21Other4Unit or Piece12Lorry7120 kg maxibag1KilogramUNF:6:JYB2ON0kTBcLTRx3OeQNDQ==Conversion factor [UNIT] to kg0.60000002384185793566.088.75430454364731120.01619.0100.036.08885889849855.UNF:6:+DChMiNxxTgblIZ5zL9N9w==How much failure in [CROP] did you incur before the harvest?549.9135853191052200.01534.00.03651.0400800.0.6690.045821010872UNF:6:+QLC+H38n8e1t/2tk6t4+w==How much failure in [CROP] did you incur before the harvest?1534.0100.028.7545020354322948.789645302656723651.0.50.00.0UNF:6:+gthMm+XYiQuvXRy5Vh9+g==What is the reason of the crop failure?1.01.02.16548589838248963651.07.01534.02.4861681731032577.7Other4Late planting5Poor quality soil6Multiple reasons2Excessive rains/floods3Pests/diseases1Drought/little rainUNF:6:zXZ6bkJkR91Z7srWeh4v1Q==How much [CROP] without stover was harvested during [LAST COMPLETED CROPPING SEA.3.05088.013300.00.0589.169412174014791.6629029088043197.0UNF:6:nULL15ubAHB+V87t1h2RCg==How much [CROP] without stover was harvested during [LAST COMPLETED CROPPING SEA.0.85000002384185791021.20692605878065669.292971505746300.04343.0320000.0842.0UNF:6:Q+dKhWNVA5Ks7EcDzeSGQw==How much [CROP] without stover was harvested during [LAST COMPLETED CROPPING SEA.3.9606691169913684685.08.03.04500.021.08.8251111111111136Bucket16Sachet/tube10Ox-cart13Headload4Unit or Piece15Bale14Bunch5Cane/Basket8100 kg maxibag950kg minibag11Trailer3Liter21Other2Gram20Bowl19Heap18Cup12Lorry1Kilogram17Plate7120 kg maxibagUNF:6:ArNhAm5n6tvmwLI2ig8kmA==Conversion factor [UNIT] to kg38.936492078262840.6000000238418579100.0120.0.842.087.152774580552064343.0UNF:6:+1T6u+HB6frf4vOlwipevA==How much stover of [CROP] was harvested during [LAST COMPLETED CROPPING SEASON]?6.6877555031449087350.00.0.5088.00.0147.4145793090893397.0UNF:6:AGYYE+QPb4jDDaQDgLrclg==How much stover of [CROP] was harvested during [LAST COMPLETED CROPPING SEASON] 1.35000002384185896000.04661.05124.921786395479.524.0240.01008.9001908552548UNF:6:8sgXBwodh0ra5fZ3OSJN+Q==How much stover of [CROP] was harvested during [LAST COMPLETED CROPPING SEASON]?4.021.04347.08.0.838.010.6825775656324574.9573528451314653Liter7120 kg maxibag19Heap950kg minibag12Lorry11Trailer4Unit or Piece10Ox-cart2Gram20Bowl18Cup8100 kg maxibag6Bucket5Cane/Basket16Sachet/tube1Kilogram21Other14Bunch17Plate15Bale13HeadloadUNF:6:Ns6pzQitSFz2qyfSF2rhAw==Conversion factor [UNIT] to kg524.086.75190839967657100.0.4661.046.612608726159721.899999976158142120.0UNF:6:4BkcixceQ1wGzsZHSwsNpg==How much of the total harvest (including stover) was used for animal feed?5088.00.00.097.0800.00.502751572327045411.794255993505296.UNF:6:OrBz79xWhKSUGnk/JPQV+w==How much of the total harvest (including stover) was used for animal feed? - KG.4852.068.10750751058607333.0297.79669960445561.450000047683715811.1999998092651374800.0UNF:6:p+ciMpSeG8K+UZO66jRiUA==How much of the total harvest (including stover) was used for animal feed?21.05.275914336015115516.087557603686633.4.04751.020.0434.0950kg minibag2Gram11Trailer12Lorry3Liter1Kilogram20Bowl14Bunch15Bale5Cane/Basket13Headload19Heap21Other17Plate16Sachet/tube7120 kg maxibag4Unit or Piece18Cup6Bucket10Ox-cart8100 kg maxibagUNF:6:1lbig0v/NVzw4VAiChXTNA==Conversion factor [UNIT] to kg120.0.333.037.942919366058081.8999999761581422.79999995231628420.7211711775433444852.0UNF:6:LvvPchvwvNf5Gao58xsfFg==How much of the total harvest (including stover) was used for animal feed?434.04751.00.0.800.063.1647149386635610.026.47868663594477UNF:6:CPXjq14kt+7qA/dobdCWhw==How much was left on the field as crop residue (but not burned)?.0.0200.00.1001375786163532897.02.85449958135814130.05088.0UNF:6:TlYhfuaOxzvn/b0N367QaQ==How much was left on the field as crop residue (but not burned)? - KG2.90000009536743165173.080.0720.012.0238.36908024149125.191.9749999841054UNF:6:WQ9lZcc423AWPUegCGHJZQ==How much was left on the field as crop residue (but not burned)?20.0.10.03.45275012316397611.4237288135593225067.0118.04.016Sachet/tube15Bale6Bucket950kg minibag12Lorry10Ox-cart8100 kg maxibag1Kilogram19Heap18Cup4Unit or Piece5Cane/Basket14Bunch3Liter13Headload2Gram17Plate11Trailer21Other20Bowl7120 kg maxibagUNF:6:075BOT/hnArbEUd8Ngq7Lg==Conversion factor [UNIT] to kg100.048.7580576064507665.050000001986821.899999976158142120.05173.012.0.UNF:6:mxyYzX00683UO6R0i6w7ZQ==How much was left on the field as crop residue (but not burned)?5067.0.62.54660380388119480.032.559322033898310.015.0118.0UNF:6:G1PMCqwHMU3QdpI1qwesHw==How much was saved for seed [LAST COMPLETED CROPPING SEASON]?75.31737421383784447.06115082941807.10000.097.02.00.05088.0UNF:6:UQ2fnA/czXe6zNtfpYO64Q==How much was saved for seed [LAST COMPLETED CROPPING SEASON] - KG?1710.02899.803196185393475.00.42500001192092896462.18680429969424120000.027.0.UNF:6:236r1jh2DxEOlXpPmhGmaQ==How much was saved for seed [LAST COMPLETED CROPPING SEASON]?3661.0.6.2817322601294131.015.3646544659928781524.021.020.01Kilogram16Sachet/tube6Bucket7120 kg maxibag10Ox-cart2Gram14Bunch15Bale4Unit or Piece11Trailer3Liter12Lorry5Cane/Basket18Cup21Other13Headload20Bowl19Heap17Plate8100 kg maxibag950kg minibagUNF:6:BNk8+aXomTA6S8wON3bnEQ==Conversion factor [UNIT] to kg.0.400000005960464528.2562474947525641710.0120.043.391159822946543475.02.9000000953674316UNF:6:1K6qx6Q64So+7VRz+E5bTA==How much was saved for seed [LAST COMPLETED CROPPING SEASON]?1046.54405762191360000.00.0.118.5196858781753524.01524.03661.0UNF:6:w13VKs8+DBcgX0FtLes5Hg==How much was used for gifts and exchange (except own consumption and sales)?1000.05088.0.0.00.034.2844503806360665.5840605345912497.0UNF:6:9MQvVkDBoqwowE867EPD6A==How much was used for gifts and exchange (except own consumption and sales)? - K631.0840492510663.22000.03453.01.7000000476837158100.0201.452150686784731732.0UNF:6:p17ZNFbDwQjshAWlAkk4ow==How much was used for gifts and exchange (except own consumption and sales)?8.01821.04.021.05.94326696091594711.251510159253126.3364.020Bowl1Kilogram15Bale8100 kg maxibag11Trailer4Unit or Piece14Bunch12Lorry950kg minibag2Gram18Cup6Bucket7120 kg maxibag5Cane/Basket3Liter10Ox-cart21Other19Heap17Plate13Headload16Sachet/tubeUNF:6:fp3NRg8HVQjb7/vnOGsPgg==Conversion factor [UNIT] to kg1732.03453.0100.048.6518330008222660.9112297931977760.4000000059604645.120.0UNF:6:Qr7qRN8kYON1Q9GJFGG/Nw==How much was used for gifts and exchange (except own consumption and sales)?3364.010560.0290.46931481430966111.5430532674351821.060.00.0.UNF:6:cBNMutE1pypsKPAPpOTbug==How much of the harvest was used for own consumption?97.02.05088.00.04300.029.629917452830252165.31618681173023.UNF:6:qZdyiseUeM4/QrFyUhzEEw==How much of the harvest was used for own consumption? - KG0.40500000119209291186.03999.0150.024000.0928.254466363342.362.65825656688514UNF:6:5rF5dG8BhUFf7Ipzgr1njA==How much of the harvest was used for own consumption?10.392138063278974.1013.04.05.3952495627427418.021.04172.012Lorry2Gram950kg minibag18Cup16Sachet/tube4Unit or Piece1Kilogram17Plate19Heap13Headload8100 kg maxibag15Bale7120 kg maxibag6Bucket10Ox-cart14Bunch5Cane/Basket3Liter21Other20Bowl11TrailerUNF:6:GX0Okxjg1P3UR8IETNBUQQ==Conversion factor [UNIT] to kg3999.01186.0.0.4000000059604645100.046.90222062024325672.38594899033883120.0UNF:6:s+fTGN0QUt0KFKV7IlzMtg==How much of the total harvest was used for other purposes (e.g., burned as crop0.05088.09.8891211420528970.0620.097.00.30296776729560243.UNF:6:KJY//YXnwCugRdE0Ow3yBg==How much of the total harvest was used for other purposes - KG1676.203571430275.28.05157.05449.63116906729328800.0200.02.700000047683716UNF:6:7oSBQcBUPPT2w+YjiYYOEA==How much of the total harvest was used for other purposes (e.g., burned as crop10.0.4.02.40755619593431110.06034482758620620.0116.05069.06Bucket17Plate12Lorry18Cup16Sachet/tube19Heap1Kilogram10Ox-cart8100 kg maxibag4Unit or Piece20Bowl5Cane/Basket13Headload15Bale3Liter21Other7120 kg maxibag11Trailer2Gram950kg minibag14BunchUNF:6:fgcj0nwYNSFJYWO7S8ozng==Conversion factor [UNIT] to kg100.0120.05157.041.5209534593080880.69285714626312.28.02.700000047683716UNF:6:yaNok74BJeeWGRSxxnvenQ==How much of this harvest was sold?8000.014.3713345125786597.0154.575157500246465088.0.0.00.0UNF:6:KNigFrPhlII1RDBhs61YHQ==How much of this harvest was sold? - KG.1804.01570.4778777173382.7000000476837163381.036000.0300.0654.3421563326377UNF:6:66Jd32Oh54SsegQ6ki0NoQ==How much of this harvest was sold?3310.09.0383999999999834.2468668342930121875.021.04.08.0.6Bucket1Kilogram15Bale17Plate21Other13Headload8100 kg maxibag2Gram11Trailer18Cup5Cane/Basket3Liter19Heap950kg minibag12Lorry20Bowl14Bunch10Ox-cart4Unit or Piece16Sachet/tube7120 kg maxibagUNF:6:TBYmsXwhnWSZKPrO4szlRQ==Conversion factor [UNIT] to kg85.64431818316950.4000000059604645100.03381.01804.0120.039.52548932112661.UNF:6:k5R8AjnrSWHqDeQK9vjTqw==What unit price did you receive when selling this [CROP]?1875.00.065.0127.30697866666613310.0.7080.0331.8134228713538UNF:6:3akYLkureanrvGHhP/tSNA==Price per KG received when selling this [CROP]41.011672498317681804.00.01212.12121582031255.08692661659714853381.00.699999988079071.UNF:6:05y+XBnkkXuZltRxq5CkdA==Who in the household has the main responsibility for making sales-related decisi1.549866666666667.0.94515770529002593310.04.01.01875.01.04Other2Spouse of head3Both head and spouse1HeadUNF:6:zUYsJYVu16OlAzOEWxsVoQ==What was the main place where this [CROP] was sold?1.5530666666666671875.0.1.00.81261067439860737.01.03310.05Cooperative2Local market1On farm or home7Other6Processor3Regulated market4RoadsideUNF:6:qjdUjoPaUL+NMQyS+FrazA==How long does it take you to go from your house to get to the main place where t802.0420.038.7942643391521343.312974958668505.0.04383.030.0UNF:6:SO3sR6SjWhP4yPaBlHQCtA==Who was the main buyer of [CROP]?1.97493333333333373310.02.00.427085795560836151875.01.06.0.5Government3Processor2Trader4Cooperative1Farmer or consumer6Other7OtherUNF:6:0XqKMxdGXtnqc6Sdd0Fyaw==Did the buyer contract you to grow [CROP]?1.98026666666666643310.01.00.13911955705856972.01875.02.0.1Yes2NoUNF:6:7gXN4xW2LrUBzHtzPAn3bw==Treat variable2.00.02.20077145612343065185.01.01.07546976117868764.0.2ARNB4AR20141Control3AR2013UNF:6:g1WeN2WcROkg3mS0tTrdxg==Household ID8.01051513E83760.01.011485944E99.420352656099245E79.097303236170182E80.0.9.054353985E8UNF:6:NQqXx4Q7XhcPDrG87O399w==Region ID9.0337765957446620.904999323515066310.09.0.3760.08.00.09Upper East region8Northern Region10Upper West regionUNF:6:i75uwdB0/yX3XuFj1CHlPg==District ID.3760.06.0933510638298750.011.01.03.8190737396577215.05Kassena Nankana East11Nadowli4Kassena Nankana West1Tolon/Kumbungu8Wa West10Wa East6Talensi-Nabdam7Bongo3West Maprusi9Wa municipal2SalveluguUNF:6:n2yt2wqjLqnRkUm8ehZS4Q==Community ID1.03760.014.48735354917459650.00.026.025.624468085106535.45Tiborgunayili34Papu28Namiyila1Arigu49Yenduri4Botingli18Jana35Pase12Goripie43Tekuru39Shia29Naro23Kpirim26Laogri17Issa25Kukua37Sa Gie8Fian19Kadia33Nyangua48Wogu22Kpelung10Gia20Karemiga47Tingoli24Kukobila6Disiga32Nyagli9Gbanjon27Nabogu5Cheyohi No. 22Basigu42Tanina7Duko46Tindan3Bonia40Siiriyin31Natodor41Tabiase30Nasia50Zanko38Sabulungo21Kpallung44Tibali11Goli16Gyilli15Gushie36Pigu14Guo13GoriyiriUNF:6:pKnArfZer9qVXHnF636gWw==Crop ID71.020.647606382978770.011.016.03760.0.12.59612762270136539Bitter Leaves54Garlic40Carrots53Sweet potato34Amaranthus37Garden Eggs55Cassava62Banana38Ayoyo15Finger millet74Shea Nut28Bambara nuts89Other uses85Natural trees49Other vegetable33Okra65Pawpaw/Papaya12Wheat35Red pepper56Ginger67Oil palm51Onion81Fallow32Tomatoes72Baobab63Mango26Peas73Tobacco11Maize27Groundnut83Planted fodder31Cabbage68Sugar cane64Orange84Planted trees61Avocado41Watermelon22Soybean23Pigeonpea13Pearl millet57Yam21Bean25Cowpea14Sorghum19Other cereals52Irish potato24Chickpea79Other crops29Other pulses, nuts66Dawadawa16Rice36Green pepper82Pasture/grazing59Other roots, tubers71Cotton69Other perennialUNF:6:rBHYPyiMmDzhRX8uLWAGQw==Did you have any [CROP] in storage one month after [THE LAST COMPLETED CROPPING1.00.00.01.01.01.03760.0.1Yes2NoUNF:6:JIRx1rKbkj8HHheLeGl9Ng==What is the total quantity of [CROP] that you had in storage after [THE LAST COM3.00.00.08000.0357.41950225214643760.052.68836436170151.UNF:6:PvIXt0s2+nDdU1rfNF9O/w==What is the total quantity of [CROP] that you had in storage after [THE LAST COM3639.01567.706510782422610.5250727767894240.0.121.036000.00.0UNF:6:3Ow5yiCuIfbRlCkEDu+w+w==What is the total quantity of [CROP] that you had in storage after [THE LAST COM4.04.591476148021658.0.3734.09.43117300482057926.021.04Unit or Piece21Other20Bowl8100 kg maxibag6Bucket3Liter17Plate950kg minibag16Sachet/tube18Cup11Trailer7120 kg maxibag13Headload2Gram10Ox-cart15Bale12Lorry1Kilogram5Cane/Basket19Heap14BunchUNF:6:z07Pn037rgPI8BG/DJnNnA==Conversion factor [UNIT] to kg82.1487359172140842.45439479451057121.03639.0120.01.7000000476837158.100.0UNF:6:gNyCoAaI5ajelkBhnO+Jxw==What type of storage facility did you use to store [CROP]?6.015.03760.01.0.0.06.3199468085106381.96349390726136697Roof8Raised open platforms2Community warehouse15Other6Sacks/bags5Cribs13Commercial storage3Pit in ground11Open ground-uncovered9Raised roofed platforms10Open ground-covered12Underground14Multiple methods4Drums1GranaryUNF:6:7PPoT7mREAiYRFu4ZuLvmA==How much of the [CROP] you stored was lost before you could sell or consume it?5.512744265048155.3760.00.00.00.8045212765957338100.00.0UNF:6:OqEvWIohiDdiqTc7eLb4aQ==What was/is the main cause of these losses of [CROP]?1.07.03508.01.96096011521198892.02.6230158730158726252.0.3Mold2Insects4Theft7Other1Rodents5Harvested too early6Multiple reasonsUNF:6:MRraUYgPWvaW6PNVW59CpA==Which method do you use to dry [CROP]?.4.01.43454638281472513760.03.78164893617022151.08.00.02Piles of cobs/pods on the ground - with cover6Dry at commercial facility1Piles of cobs/pods on the ground - without cover5Lay on tarpaulin for sun drying4Dry and store3Dry, shell and dry8Other7Not applicableUNF:6:Gb80c9EwphbGV1qoi/uADQ==Treat variable4.01.0.2.25531914893617321.0656669651500773760.02.00.04AR20141Control2ARNB3AR2013UNF:6:wPDOxCOzvkAQeHZjWdxSWw==Household ID1.011485944E93412.00.09.05105265E89.122617471174768E7.8.937273709041619E88.01051513E8UNF:6:mByVryhycYgM+fhpejR/Lg==Region ID8.00.0.0.8767448562867373412.09.010.08.8801289566237048Northern Region10Upper West region9Upper East regionUNF:6:Bu2/eqNItJ1w+18AMrSFZg==District ID5.05.4577960140680523412.03.6620232301807050.01.011.0.7Bongo5Kassena Nankana East11Nadowli10Wa East1Tolon/Kumbungu3West Maprusi6Talensi-Nabdam2Salvelugu4Kassena Nankana West9Wa municipal8Wa WestUNF:6:iAuB8WgAmWrXRUmZxfTySg==Community ID50.01.025.3581477139507823412.00.0.14.72054092991437126.030Nasia3Bonia25Kukua2Basigu49Yenduri16Gyilli8Fian41Tabiase44Tibali9Gbanjon23Kpirim7Duko40Siiriyin31Natodor20Karemiga34Papu11Goli13Goriyiri32Nyagli15Gushie18Jana6Disiga1Arigu5Cheyohi No. 243Tekuru36Pigu22Kpelung28Namiyila37Sa Gie10Gia48Wogu35Pase12Goripie26Laogri50Zanko39Shia17Issa45Tiborgunayili14Guo27Nabogu4Botingli21Kpallung33Nyangua38Sabulungo42Tanina47Tingoli29Naro19Kadia46Tindan24KukobilaUNF:6:BZlJeSIM69YCZ/awc5f/0w==Livestock code.1.0111.635297566696-99.019.607275492789763411.0114.0120.0108Heifers -improved-119Other livestock110Calves -improved-105Cows -local-112Goats -local-114Sheep-99None104Fattening cattle -improved-106Cows -improved-103Fattening cattle -local-107Heifers -local-111Horse/donkey/mule101Bulls -local-113Goats -improved-120Honey bees (record number of occupied hives (not bees) in J1_6, J1_8, J1_10, J1_13; total value of hices in J1_7; and value per hice in J1_14)100Draught cattle109Calves -local-102Bulls -improved-115Pigs -local-116Pigs -improved-117ChickensUNF:6:43k4bMHZw0R2Dmat2ull0A==In the past 12 months, have members of your household raised or produced [ANIMAL1.028.01.0.1.00.01.03384.02No1YesUNF:6:/A2vKkMxTVd2wsZXcFMLDw==What type of management system does the household use for [ANIMAL TYPE]?1.9205082742316781.28.01.01.03384.03.00.99505379260756922Intensive/Caging only3Mixed1Grazing/open air onlyUNF:6:ocDpWxzjo9+xZ9SxXYpIFA==Which family member had main responsibility for taking care of the [ANIMAL TYPE]3384.01.7635933806146575.1.028.04.01.01.16517538150676112Spouse of head3Both head and spouse4Other1HeadUNF:6:qi9vFojdftT/2ko4miJ2kw==How many [ANIMAL TYPE] does your household currently own?.28.070.124336969110220.06.011.8569739952718813384.04000.0UNF:6:or+x+auVx33waSy9PLIKGw==What is the estimated total value of all [ANIMAL TYPE] your household currently28.00.0200000.0250.01044.49290780142165571.5284214105373384.0.UNF:6:BdWXPvRRx85ZkRe3orxjSg==...how many [ANIMAL TYPE] have been slaughtered to be consumed In the household?.11.9352601259461121.93085106382979240.0610.028.03384.00.0UNF:6:QZ7Hm+epkJe6QxoQ/MQO4A==...how many [ANIMAL TYPE] were born?28.03384.00.0150.03.010.558047336324242.7.038416075650124UNF:6:fXpCaliW/0ymws/8mRGvDw==...how many [ANIMAL TYPE] were bought?.0.97600431234094513384.028.00.2296099290780147220.00.00.0UNF:6:OrVCsDuy1rVNBwX7vlYwLQ==...how many [ANIMAL TYPE] were given as gift (i.e., dowry, rite) or stolen?28.00.00.98552009456265.0.03384.03.4114052279831366120.0UNF:6:EWsTzw9iv4rv1HDPgrrOww==...how many [ANIMAL TYPE] did you lose due to illness?.5.7036052009456210.03384.028.09.356153295983468103.02.0UNF:6:5NEFcFnkv9zo/ZnjY72XDA==...how many of your [ANIMAL TYPE] have you sold?.0.02.155732860520099628.09.8777171513733850.0500.03384.0UNF:6:kwIBJqLwH+h2EYMPLAQUcQ==...on average, how much was the unit price of each of [ANIMAL TYPE] (or carcasse3000.0113.207246790299422010.00.0.251.93260098193971402.050.0UNF:6:mO3RxVSuEKtIrphskl7kAg==How much have you earned in total from the following [ACTIVITY] - Activity?1.54138278287026263074.0338.05.0.4.68347430058555951.07.02Meat products6Honey sales7Wool/Skins/Silk3Dairy products1Rental/Cart5Egg sales4Goat milkUNF:6:adHTfU6Noz9kfTDCMpxVhw==How much have you earned in total from the following [ACTIVITY] - Amount?89.38755570598930.0337.03075.0.2500.010.005593495934970.0UNF:6:NLlWaQARDaUL27tQhdLdBg==Treat variable1.0.4.03412.03.02.2661195779601411.06713427294661670.01Control2ARNB4AR20143AR2013UNF:6:KNw2CKVs8J7ICjakRMXRIg==Household ID9.05105272E89.193615481193739E71.011485944E90.08.95949758212063E82669.08.01051513E8.UNF:6:w7IEQqKehfy8HiJmlJHUJA==Region ID0.88360977238186648.90146122143128210.0.9.08.00.02669.08Northern Region10Upper West region9Upper East regionUNF:6:yljvaM9dN7dWM9f+8zDwCQ==District ID2669.05.03.68690647089380045.54889471712254111.00.01.0.1Tolon/Kumbungu11Nadowli10Wa East8Wa West6Talensi-Nabdam7Bongo5Kassena Nankana East9Wa municipal2Salvelugu3West Maprusi4Kassena Nankana WestUNF:6:fXq2jvUlUKaLkzbrR59vxw==Community ID50.00.025.16672911202707426.0.2669.01.014.7051838092558767Duko45Tiborgunayili46Tindan15Gushie37Sa Gie14Guo27Nabogu21Kpallung19Kadia48Wogu16Gyilli17Issa49Yenduri13Goriyiri1Arigu29Naro41Tabiase25Kukua10Gia24Kukobila22Kpelung20Karemiga35Pase30Nasia47Tingoli2Basigu33Nyangua12Goripie11Goli43Tekuru5Cheyohi No. 24Botingli42Tanina9Gbanjon34Papu18Jana40Siiriyin50Zanko44Tibali28Namiyila8Fian38Sabulungo26Laogri31Natodor3Bonia6Disiga23Kpirim32Nyagli39Shia36PiguUNF:6:2az/sWvAY5LD7OATHx6vEg==Livestock ID-99.018.6076247684999183.0.81.441738478831032669.00.085.085Pigs83Small ruminants (e.g. sheep, goats)81Large ruminants (cattle)84Chickens and poultry82Equines (e.g. horses, donkeys,and mule)UNF:6:FITfsKRGGSEVL1WMYaAo5w==...have members of your household raised or produced [ANIMAL CATEGORY]?.1.01.01.01.028.02641.00.02No1YesUNF:6:d7lcYuB3bpVBqRvZADLP8Q==…how much labor time did your household spend on [ANIMAL CATEGORY}? - duration0.012.043.9526694433928101.80467238577752720.028.0.2641.0UNF:6:pkbdqrTdvkxQG+tmBXH5cg==…how much labor time did your household spend on [ANIMAL CATEGORY}? - unit.0.90452008005254652.3415372964786073.02641.028.03.01.03Months1Days2WeeksUNF:6:/UMFwteTUIFYBXTHjC//TQ==…how much labor time from hired workers was spent on [ANIMAL CATEGORY}? - durati0.0.42.2179963859619328.02641.00.01440.03.4176448315032477UNF:6:b3yy+v9H62k5HClw9RjtRw==…how much labor time from hired workers was spent on [ANIMAL CATEGORY}? - unit1.02.5416666666666672573.0.3.096.00.81971325752448513.03Months1Days2WeeksUNF:6:E90utkYyncJ1vhH0cZsd/A==…which percentage of the hired labor was females?28.05.04.8099204846648980.76884902252164371.0.2641.05.05None (0%)4Some (~25%)3About half (~50%)1All (100%)2Most (~75%)UNF:6:GwDNGmgmdNSb0n1JLt9z4g==...what was the source of feed for [ANIMAL CATEGORY]?2.58500567966679770.8741156190676682.1.04.02641.028.02.03On-farm1Off farm (purchased)4Multiple sources2Off-farm (nonpurchased)UNF:6:D4txJrIeMyNXqLvGzFFopQ==...which of the following feed for [ANIMAL CATEGORY] have you used? [LIST UP TO3.0.1.224189542244252828.02641.03.10034078000757337.01.05Legumes, fodder trees, shrubs3Grazing/open air4Concentrate feeds6Multiple7Other2Green forages1Crop residueUNF:6:PBLbx/I5ypUk6cFkWmLP8A==...which of the following feed for [ANIMAL CATEGORY] have you used? [LIST UP TO574.01.39621616662643347.03.32055749128919773.02095.01.0.2Green forages7Other1Crop residue3Grazing/open air5Legumes, fodder trees, shrubs6Multiple4Concentrate feedsUNF:6:A9YkWmA71UJ9NF8hrNa/Mw==...which of the following feed for [ANIMAL CATEGORY] have you used? [LIST UP TO4.0489510489510494.07.02383.01.7037777275700627.286.01.01Crop residue3Grazing/open air7Other2Green forages4Concentrate feeds5Legumes, fodder trees, shrubs6MultipleUNF:6:A23Tw1+PMbHRO5R/SfpOiw==…how much did you pay for feed for [ANIMAL CATEGORY ]?41.5940903054447661916.0753.00.00.0.1080.0114.80112977033404UNF:6:sosuaEzjTwvr/fNdCUem+w==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Rainy29.623152381770097810.02.67011952191234330.0753.0.1.01916.0UNF:6:0bQmxDbEv6RkhjRv14hqxw==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Rainy21.05.3347809140349451.0753.0.16.5922974767596261916.018.014Bunch950kg minibag20Bowl2Gram12Lorry21Other7120 kg maxibag10Ox-cart16Sachet/tube6Bucket15Bale4Unit or Piece17Plate8100 kg maxibag1Kilogram13Headload11Trailer3Liter19Heap5Cane/Basket18CupUNF:6:BmYTddCNlUt0HYHJ3usXqQ==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Rainy753.02.9976494023904396225.0.11.7720049009315520.01.01916.0UNF:6:qCT70Q6q7+w2KoqztV8S2A==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Dry se1916.00.01.03.32314682307589245.01.8717795484727768753.0.UNF:6:o9ZvCYLKjCaKzeAZ97+OSA==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Dry se753.021.01916.01.019.0.16.6786188579017365.3320869536607318Cup16Sachet/tube19Heap7120 kg maxibag5Cane/Basket950kg minibag11Trailer2Gram21Other13Headload15Bale10Ox-cart14Bunch4Unit or Piece17Plate12Lorry8100 kg maxibag6Bucket20Bowl3Liter1KilogramUNF:6:YTkxhCHkQlaAJKmXHYfM5g==...how much feed for [ANIMAL CATEGORY] have you used per day, on average? Dry se3.9529216467463491916.0366.020.163991848106413.753.01.00.0UNF:6:cZZOH01RYL6JSotutckMEA==..how frequently did your household face shortage of drinking water for [ANIMAL28.02641.01.1409301840397815.04.1158652025747831.0.5.02Often5Never1Always4Rarely3SometimesUNF:6:W8ke/yNShO9crBWFN2HCdA==...how much manure did [ANIMAL TYPE] produced that the household was able to col0.02641.028.00.0.2.575918212798194500.017.96599300613081UNF:6:2ZMD910ruHmLY2aBH19+zw==...how much manure did [ANIMAL TYPE] produced that the household was able to col686.09.05247813411078221.0.3.20768028768272331983.05.09.021Other6Bucket15Bale14Bunch950kg minibag1Kilogram13Headload8100 kg maxibag17Plate20Bowl4Unit or Piece2Gram12Lorry5Cane/Basket7120 kg maxibag16Sachet/tube18Cup3Liter11Trailer19Heap10Ox-cartUNF:6:z8bEg/uPRo0cDhyKCs38IQ==…where did your household store manure coming from [ANIMAL TYPE]?1983.02.42128279883381661.8691694830604397686.01.0.1.05.02Roofed3Sealed5No storage1Stored open4OtherUNF:6:6DyvTu1GXpeY4e55OrdFWQ==…for how many weeks have you stored manure coming from [ANIMAL TYPE]?24.00.0458.022.370044992781846360.027.451965065502183.2211.0UNF:6:sEAgnhZovzLWp2XVQfz3TQ==…which was the main use of this manure coming from [ANIMAL TYPE]?686.01.07.01.4271137026239071.1983.01.40169640971539481.07None5Multiple uses6Other3Source of energy2Sold4Plastering1Recycled in the fieldUNF:6:fkTDbdQDEQPrHv0lrFxuqw==…how much have you earned in total from manure sales by [ANIMAL TYPE]?21.766465184275650.0.0.0360.01.63702623906705421983.0686.0UNF:6:dsGbPO1sRDJNf3Rvng0lXg==...how much have you spent in total on costs for [ANIMAL TYPE] such as veterinar.28.00.047.100441593634432641.00.012.1828095418401541200.0UNF:6:bd4GSUWf/Mjymk7BpQesOQ==...did [ANIMAL TYPE] receive supplemental feeds?2641.0.2.00.49144751405499511.59257856872396862.01.028.01Yes2NoUNF:6:D5G4TQapLN5fKIo1u7o3/Q==…how many days did [ANIMAL TYPE] graze off farm?.121.15984808031946365.0304.81560015145755365.02641.028.00.0UNF:6:obWx2Q+O61dRcnyUccWz2w==…when [ANIMAL TYPE] grazed off farm, on average for how many hours did the [AMIN.195.01.011.010.4539207760711452.08078329139069424.02474.0UNF:6:oQfyqMRIJWHEKY7OEAvDbA==Treat variable1.0726547238754342.02669.0.4.01.02.25402772573997860.01Control2ARNB3AR20134AR2014UNF:6:dgh1MXmH6AQDhjohg2lnJA==Household ID8.01051513E88.827029087686085E81.011485944E9.2096.08.03300805E89.00125367214752E70.0UNF:6:LeYzrRV2uyW7e1rERKddGQ==Region ID8.775286259541986.10.00.08.02096.00.86489747988606918.08Northern Region10Upper West region9Upper East regionUNF:6:UZAHSH/lmjvMJKgqHpjwNw==District ID4.929389312977144.0.02096.03.623942500236679611.03.01.06Talensi-Nabdam5Kassena Nankana East11Nadowli3West Maprusi2Salvelugu9Wa municipal4Kassena Nankana West1Tolon/Kumbungu7Bongo8Wa West10Wa EastUNF:6:AeHXKaeCyRI1jhZWlyJs8w==Community ID0.02096.024.16459923664127650.023.01.0.15.023612493181444Botingli26Laogri16Gyilli21Kpallung22Kpelung29Naro13Goriyiri3Bonia36Pigu1Arigu17Issa10Gia33Nyangua9Gbanjon34Papu19Kadia45Tiborgunayili24Kukobila35Pase38Sabulungo40Siiriyin6Disiga49Yenduri12Goripie14Guo48Wogu39Shia28Namiyila42Tanina11Goli50Zanko37Sa Gie31Natodor20Karemiga18Jana15Gushie30Nasia32Nyagli23Kpirim7Duko44Tibali8Fian41Tabiase27Nabogu25Kukua43Tekuru46Tindan2Basigu5Cheyohi No. 247TingoliUNF:6:GASU/dWTHMCJfuphIdgyVA==Source Name0.05.04.028148854961826.2096.01.06.01.58684015547405455Agricultural development/ extension agent3Other farmer2Model farmer4Farmer's group6None1Friend/neighborUNF:6:yUvdsnEoR+2P2tcNYYh4Ig==Have you received advice/information on vegetable gardens, crops, livestock, or1.02.01.00.343852810949193952096.0.0.01.13692748091603211Yes2NoUNF:6:l6Qcw70LM8HDtky7S6Bk3w==Is [SOURCE] among the three most important sources you would prefer to ask/seek1809.04.0287.01.69817578772802771.0.0.86064520331214691.01Yes, 1st most important4Not among the three important sources3Yes, 3rd most important2Yes, 2nd most importantUNF:6:Exsfypy78F/zmL+aqsbWYw==During the last cropping season, how often did [SOURCE] have interaction with yo0.90168066744541863.0287.0.1809.06.02.43228302929795071.03Not every month but at least once during the cropping season6Other2Not weekly but at least once a month1At least once a week4Just once5NeverUNF:6:IsoT+YK0a2ZR8YhWP+33Sw==Treat variable0.02.35162213740458143.02096.04.01.0504810773668882.1.03AR20132ARNB4AR20141ControlUNF:6:xih7AdKoL/obXUnea2rxYA==Household ID9.366316336695789E78.925701391471971E88.01051513E80.01.011485944E99.050352425E8.1284.0UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID0.90034144886430910.08.0.8.869158878504689.00.01284.010Upper West region8Northern Region9Upper East regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID1284.00.011.05.0.3.7351983506016025.3995327102803471.09Wa municipal7Bongo11Nadowli10Wa East1Tolon/Kumbungu3West Maprusi2Salvelugu4Kassena Nankana West6Talensi-Nabdam5Kassena Nankana East8Wa WestUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID1284.050.014.6587639927668560.025.01.025.17601246105923.28Namiyila8Fian9Gbanjon34Papu24Kukobila22Kpelung14Guo15Gushie31Natodor18Jana11Goli33Nyangua4Botingli3Bonia50Zanko1Arigu40Siiriyin20Karemiga32Nyagli17Issa49Yenduri7Duko36Pigu26Laogri42Tanina6Disiga12Goripie38Sabulungo27Nabogu16Gyilli46Tindan21Kpallung19Kadia45Tiborgunayili43Tekuru5Cheyohi No. 22Basigu10Gia13Goriyiri48Wogu25Kukua23Kpirim39Shia47Tingoli37Sa Gie29Naro35Pase41Tabiase44Tibali30NasiaUNF:6:al9Z5YKWQlgQIIBI59eNEg==How far is your local Farmer Training Center (one way in minutes) using the usua62.9310984270423361284.05.0180.0-99.00.0-19.63785046728983.UNF:6:nBkTjdITHqS743n87s94EA==Have you ever participated in the activities of your Farmer Training Center?0.4899448858742858.2.0439.01.01.0845.01.39881656804733721Yes2NoUNF:6:tMQLdc9OaSbHdM6T1hHYUw==Think of the agricultural extension/development agent you interact with the most1284.0-19.08644859813071245.042.62032532845520.0.2.0-99.0UNF:6:n6C977sdL8YBQ+N0HCQjnw==Have you tried any new agricultural technologies/management practices during the0.49778063835021661.00.01284.01.01.4509345794392545.2.01Yes2NoUNF:6:7lkkGWFCpkIYhx/X9L9SuA==Have these been new activities your agent has demonstrated to you?579.01.09219858156028352.00.2895114718409796.1.0705.01.02No1YesUNF:6:Aj/j8ab+0DzYdqnlQCK+Vg==Are you a member of your community's farmer research group?2.00.01.79049844236760161284.03.00.5517944093098966.1.01Yes2No3Not applicableUNF:6:pQIIM36LaISHM5Qr6gYHwQ==Have you ever used a new technology that you have seen at your research group ac1.0.1.01.12290502793296090.3287876839163796926.0358.02.02No1YesUNF:6:qMVYDcil8HDYYJ1d4c+qTw==Have you/your household ever participated in any group that focuses on the conse0.02.01284.02.00.457684223483014961.70171339563862971.0.1Yes2NoUNF:6:i4CGTleNhPTSEUqKoV4O7Q==Do you/your household currently participate in any social organization?1.01.37928348909657331.01284.00.0.2.00.485397797353612771Yes2NoUNF:6:VIn0Z8Jt0/k1ffGyS6qcuA==Are you/your household satisfied with quantity, quality and timeliness of extens1.01.54361370716511042.01284.02.0.0.498288287811261550.01Yes2NoUNF:6:UwtRgILMSL6rVbyc0ILqog==Have you heard of Africa RISING program?0.00.49152694768106781.40732087227414331.02.01.01284.0.1Yes2NoUNF:6:6wvbVegdipw9jRfbXRFbzA==Have you ever participated in any activity as part of/organized by Africa RISING523.01.01.2982917214191850.457809112193817262.01.0761.0.1Yes2NoUNF:6:tRb3ceZsg0wb/J1P2nUkMg==Which Africa RISING-related activity did you get involved in? [LIST UP TO THREE]750.0.1.0534.01.17126946826747651.01.91573033707865165.01Community meeting2Trainings3On-farm experimentation of new or improved agricultural technology4Demonstration field days5OtherUNF:6:mNiCVg0jmSa1eJwzwzJ9vw==Which Africa RISING-related activity did you get involved in? [LIST UP TO THREE]0.9229529416325261502.02.4262948207171315782.01.0.2.05.05Other3On-farm experimentation of new or improved agricultural technology2Trainings4Demonstration field days1Community meetingUNF:6:91lz8S5EX6yR1DSjUpRozg==Which Africa RISING-related activity did you get involved in? [LIST UP TO THREE]4.05.05.05.01280.0.0.05.01Community meeting5Other2Trainings3On-farm experimentation of new or improved agricultural technology4Demonstration field daysUNF:6:bwqyZTDSOEiewyGJdi+KYg==Do you plan to continue participating in Africa RISING activities in the next pl1.00.105501431747065761.0112359550561798534.01.0750.0.2.01Yes2NoUNF:6:kaE/HaBJBxp1joJR1GJJgw==What are your reasons for not participating in Africa RISING activities - First?.6.01051.0233.07.0128755364806879.01.01.3470295759216196Not enough information9Other1Not relevant to my activities8I was turned down4Too risky5Prefer to be on my own7No time2Technology not appropriate3Too expensiveUNF:6:d3+fLrsCPLXNLwuqpY9GLQ==What are your reasons for not participating in Africa RISING activities - Second5.01210.08.175675675675675.1.2535768890102029.09.074.08I was turned down5Prefer to be on my own1Not relevant to my activities9Other3Too expensive7No time2Technology not appropriate6Not enough information4Too riskyUNF:6:6aYrEeuttvej4qCEhmvaEQ==What are your reasons for not participating in Africa RISING activities - Third?9.0.42.09.01242.00.09.09.05Prefer to be on my own8I was turned down7No time9Other1Not relevant to my activities3Too expensive2Technology not appropriate4Too risky6Not enough informationUNF:6:d+bpiEH+tXZVYr3JfLxw6w==Treat variable2.1947040498442392.0.1.01.08030046466288641284.04.00.04AR20143AR20131Control2ARNBUNF:6:Cl/0uHxzDofRdchhlYuNKA==Household ID1.011485944E91619.08.01051513E8.9.465908323306644E78.943373298048172E89.05035248E80.0UNF:6:UGZ49KWaNR+Q6ftUhc4z2Q==Region ID.0.910415058405012210.00.08.08.8863495985175889.01619.08Northern Region10Upper West region9Upper East regionUNF:6:ivvPc+zf45wrZlbB79PCbQ==District ID5.03.72988558229017730.05.44410129709699611.01.0.1619.07Bongo5Kassena Nankana East1Tolon/Kumbungu8Wa West10Wa East4Kassena Nankana West11Nadowli9Wa municipal6Talensi-Nabdam3West Maprusi2SalveluguUNF:6:eYWITxMIPTpzpf/xno13/Q==Community ID25.531192093885126.00.014.5161172690270471.0.50.01619.023Kpirim15Gushie24Kukobila31Natodor3Bonia9Gbanjon45Tiborgunayili26Laogri49Yenduri5Cheyohi No. 250Zanko35Pase38Sabulungo11Goli43Tekuru4Botingli46Tindan36Pigu29Naro47Tingoli32Nyagli30Nasia6Disiga21Kpallung12Goripie42Tanina8Fian28Namiyila13Goriyiri37Sa Gie20Karemiga7Duko18Jana16Gyilli33Nyangua1Arigu27Nabogu22Kpelung25Kukua41Tabiase40Siiriyin10Gia14Guo39Shia34Papu2Basigu48Wogu19Kadia44Tibali17IssaUNF:6:jcccgFlxtkw8E+8YtZhkRA==Other income activity86.07557523929593-99.03.01616.0.110.0100.054.53032178217816105Local beer brewing & malting102Sale of charcoal104Grain milling108Remittances from family members or friends-99None101Firewood & other forest products (excluding charcoal)103Sale of wild foods/bushmeat100Family/Household non-farm enterprise income109Other assistance107Pension106Other agricultural processing business* (e.g. packaging)110Property non-farm rental incomes (e.g. houses tractors)UNF:6:x5ruLAb3O9MliVyE5WUPdw==In the past 12 months, have members of your household received any income from [.0.426248150526990441.00.02.01.23841877702285341.01619.01Yes2NoUNF:6:ImixHX6BO8CVM9X8yjpKCQ==Who in the household is mainly responsible for [ACTIVITY]?1.9781021897810224.01233.01.00583071208179041.0.386.02.04Other1Head3Both head and spouse2Spouse of headUNF:6:uRgb/SGOj/2XZZFO22RkXw==How many months out of the past 12 months did members of this household receive1.09.04.2304908899397951233.07.97404703974047112.0.386.0UNF:6:aTY+XrtON9Dqt8garpDAng==For each of these months that your household earned income from [ACTIVITY], how123.545417680454160.01233.060.0.4000.0386.0212.35469909509345UNF:6:1gUHZf3Nz7JJkcAcsF20JA==How important was [ACTIVITY] to meeting household expenses?1.0.4.0386.00.64399120421907541233.01.35117599351176041.03Somehow important1Very important4Not very important2ImportantUNF:6:0BOzgdnQ2o3RUx1b+/ErPg==Treat variable1.04.01619.01.08292809031316242.2130945027794950.02.0.3AR20131Control4AR20142ARNBUNF:6:yoEqEHyrX5pbc4k1UcuzyQ==Household ID.0.08.01054932E81.011481976E91.0139526331965454E8188.09.051052695E89.024739364734044E8UNF:6:n/SYSAzFCJ+wL9UaJcNAUw==Region ID0.9721781094439268.9.010.08.96276595744681188.08.00.09Upper East region8Northern Region10Upper West regionUNF:6:u8s1jqplxT1vJMSjDoaZ3Q==District ID.1.05.9627659574467995.04.227955955293817188.00.011.04Kassena Nankana West7Bongo6Talensi-Nabdam9Wa municipal5Kassena Nankana East10Wa East2Salvelugu3West Maprusi8Wa West1Tolon/Kumbungu11NadowliUNF:6:sFvrFgZUF0PpHNsTqcsuYg==Community ID0.0188.01.013.43063493346916323.11702127659575719.5.48.040Siiriyin44Tibali36Pigu17Issa25Kukua45Tiborgunayili30Nasia1Arigu34Papu29Naro38Sabulungo47Tingoli21Kpallung4Botingli11Goli3Bonia23Kpirim19Kadia15Gushie43Tekuru13Goriyiri14Guo28Namiyila12Goripie46Tindan32Nyagli24Kukobila20Karemiga22Kpelung41Tabiase33Nyangua9Gbanjon7Duko49Yenduri5Cheyohi No. 237Sa Gie27Nabogu16Gyilli31Natodor2Basigu26Laogri42Tanina6Disiga18Jana8Fian10Gia50Zanko35Pase48Wogu39ShiaUNF:6:yok3EAXgraHKmwsVP7UDKw==Input type1.02.1276595744680855188.00.06.01.17672656220861522.0.6Other input3Pesticides*4Farm machinery5Animals1Seed2FertilizerUNF:6:oNg1gwa7kuVg4COrnvGbiQ==Did the household obtain [INPUT TYPE] on credit during the last 12 months?0.01.00.01.01.0.1.0188.01Yes2NoUNF:6:HeVFySyiKo5dLz4Yu4Yaew==Who offered the hosehold INPUT TYPE] on credit?188.00.0.5.8510638297872336.09.02.1517680669825431.02Trader1Input supplier4Cooperative5Farmer7NGO9Other3Processor6Min of Agric.8Multiple sourcesUNF:6:zwaf+tfN2OCDT1X9kAt0QA==What was the value of [INPUT TYPE]?251.119680851064060.0188.07625.00.0.656.377184496209100.0UNF:6:/UbAKBFftWBp9XdEH2ulRQ==How many months is the credit for this [INPUT TYPE] for?8.662485571410153.118.06.00.06.2393617021276570.0188.0UNF:6:qqxc5QprZRVIoDlKrP7jEA==Treat variable3.04.0.1.02.377659574468086188.00.01.02947515368117354AR20143AR20131Control2ARNBUNF:6:Qvg03nWhG3J6pbXMVSK3Fg==Household ID8.01051513E81.011485944E99.366316336695789E79.050352425E8.0.08.925701391471971E81284.0UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID0.900341448864309.8.00.01284.010.09.08.869158878504689Upper East region8Northern Region10Upper West regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID5.011.05.399532710280347.1.00.01284.03.7351983506016029Wa municipal2Salvelugu3West Maprusi11Nadowli1Tolon/Kumbungu10Wa East7Bongo8Wa West5Kassena Nankana East6Talensi-Nabdam4Kassena Nankana WestUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID.0.025.1760124610592350.025.01.014.6587639927668561284.012Goripie5Cheyohi No. 247Tingoli23Kpirim21Kpallung32Nyagli1Arigu14Guo41Tabiase19Kadia25Kukua36Pigu31Natodor45Tiborgunayili9Gbanjon7Duko16Gyilli28Namiyila40Siiriyin37Sa Gie48Wogu29Naro6Disiga13Goriyiri3Bonia33Nyangua2Basigu11Goli15Gushie42Tanina18Jana10Gia49Yenduri26Laogri50Zanko44Tibali43Tekuru38Sabulungo46Tindan4Botingli27Nabogu34Papu17Issa39Shia30Nasia22Kpelung35Pase20Karemiga8Fian24KukobilaUNF:6:al9Z5YKWQlgQIIBI59eNEg==What is the main material used for the outer walls of the house?1.01284.0.1.19314641744548270.05.01.00.74185611653546792Wood/bamboo7Other6Corrugated metal4Cement/sandcrete bloc5Thatch/cardboard1Mud/mud brick/clay3Stone/burned bricksUNF:6:p39hN07orcs0DqXj2GUUXQ==What is the main material used for the floor in your house?4.06.01284.03.699376947040499.0.01.00.96629056721793192Wood6Other3Stone1Earth/mud/mud brick4Cement/concrete5Ceramic/tilesUNF:6:AgJkqau3XJ0vHhCk5gznAg==What is the main material used for the roof on your house?0.03.5249221183800631.01284.02.28557482774646968.0.3.09Other3Corrugated metal6Mud/earth roof (tembe)8A combination2Wood4Cement/concrete7Plastic sheeting5Asbestos/slate/tiles1Leaves/raffia/thatchUNF:6:ci3QO9t+OxGQKSD15UNiQw==How many distinct rooms does the household occupy located in the same or differe4.30373831775701517.02.3612786435493796.1.04.01284.00.0UNF:6:HskaBVEzyd69v09r2MKowg==How many external windows and doors does the housing unit have?8.0115.00.05.8004496496554891.0.1284.08.374610591900312UNF:6:FXAigf3ha5Slcm6WyYEkww==How much monthly rent are you paying if renting in, or how much monthly rent wou15.04000.0-99.0320.959016867071060.062.0077881619933461284.0.-99DON'T KNOWUNF:6:CSfNuftgq+D6wEPm7qQ5LA==What is the main source of drinking water for your household?1.23920885274485868.01.00.01284.03.0.3.28971962616822644Well without pump8Rainwater5Spring6Pond/Lake/Dam9Sachet or bottled water3Borehole, well & pump2Public tap10Other7River1Piped into dwellingUNF:6:M4tlvt2NSlTypz/b1t8TPA==What is the main type of toilet used by your household?0.00.96617214353926566.0.1.05.04.6658878504672891284.04Shared latrine5Bush or field6Other3Private latrine1Private KVIP2Shared KVIPUNF:6:q2aGUY15QJ2x0yLBoGNrcg==What is the main type of lighting used by your household?1284.01.8263239875389436.0.00.93776331681513371.07.02.04Oil or kerosene lamp6Other5Solar panel1Electric lights7None2Torch3CandlesUNF:6:4RePYWU6y/iWV21cyw8ztg==What is the main type of cooking fuel used by your household?1.00.481616329048364661.06.01284.00.0.1.09423676012461156Other5Kerosene/paraffine4Electricity2Charcoal3Gas/LPG1WoodUNF:6:zRSvwvUuWm+AWs2LPP4biQ==How many headloads of firewood do family members collect per day?1284.01.3021806853582581.00.77003198305949920.0.10.00.0UNF:6:IF+8814PfxSRkiWysmrutw==During the last 12 months, do you have to walk farther to gather enough firewood0.01.20171339563862991.01.02.0.1284.00.401435683968045741Yes2NoUNF:6:j+z5mVTHK6xON1/njroG9A==Treat variable2.02.194704049844239.0.01.08030046466288641.04.01284.01Control3AR20134AR20142ARNBUNF:6:Cl/0uHxzDofRdchhlYuNKA==Household ID9.287525332226053E78.900094635005304E80.0.9.050352255E81.011485944E98.01051513E89656.0UNF:6:a17OFLx0hhHXBzkUyDvvzA==Region ID0.8928216428976449.9.09656.08.8447597348797870.010.08.08Northern Region9Upper East region10Upper West regionUNF:6:cmyeJGY5J8iU74S5mJBBUA==District ID5.28282932891446311.0.5.03.69909912616345741.00.09656.09Wa municipal10Wa East8Wa West2Salvelugu11Nadowli4Kassena Nankana West6Talensi-Nabdam3West Maprusi5Kassena Nankana East7Bongo1Tolon/KumbunguUNF:6:31QoQr1kNtfW8zXbAoI7Pw==Community ID1.014.57702426597826350.025.024.7705053852527330.0.9656.037Sa Gie31Natodor28Namiyila43Tekuru44Tibali22Kpelung6Disiga9Gbanjon19Kadia30Nasia50Zanko24Kukobila5Cheyohi No. 218Jana7Duko15Gushie2Basigu36Pigu32Nyagli14Guo49Yenduri39Shia47Tingoli35Pase16Gyilli25Kukua12Goripie27Nabogu38Sabulungo29Naro23Kpirim21Kpallung34Papu20Karemiga3Bonia26Laogri48Wogu40Siiriyin13Goriyiri45Tiborgunayili11Goli4Botingli8Fian17Issa46Tindan41Tabiase42Tanina1Arigu33Nyangua10GiaUNF:6:L+BSIc4CNWcF2kAvt+8BCQ==Asset type.214.0154.1955260977631546.981264759448699656.0115.0100.00.0306the nearest place with daily bus stop or taxi115Motorbike106Modern chair103Wooden bed - modern205Yoke302the nearest asphalt road202Sprayer114Bicycle300the nearest motorable road307the bearest health care facility309secondary school212Tractor207Shovel201Axe/pick-axe101Kerosene stove108Radio111Refrigerator100Improved charcoal/wood stove208Hoe117Satellite dish210Animal cart109Television112Land-line phone214Ox-ridger203Sickle304the nearest daily market place120CD/DVD Player211Power tiller102Gas stove116Car or truck118Solar panel110Electric fan107Modern table209Winnower215Ripper305he district capital303the nearest weekly market place301the nearest all-season road105Sofa chair213Disc Plough206Harrow104Metal bed - modern113Mobile phone119Wooden cabinets204Ox-plough200Cutlass308primary schoolUNF:6:PJeDAKmds58plSDD9YfBXA==How many units of [HOUSEHOLD ASSET TYPE] does your household currently own?.2.2725199543899689647.09.01.02.030.01.8590311429263842UNF:6:p/EZDmUPKGcqolUzrnCg9Q==When did your household acquire [HOUSEHOLD ASSET TYPE]?0.09656.0194.853432009818822012.01993.23229080364582014.0-99.0.UNF:6:cVh60zpcmxrupy7UuQFYQA==How much did you pay for [HOUSEHOLD ASSET TYPE]?98000.01348.1376829993467.9656.0-99.015.0139.928024026513870.0UNF:6:CxOstjMAAO+uIAenXu3xsw==Treat variable0.01.0724843387223517.2.1932477216238732.04.01.09656.02ARNB3AR20131Control4AR2014UNF:6:JAw1JU/GqL8Nt3cwc36mdA==Household ID12840.09.363032918010308E70.0.8.925701391471859E88.01051513E89.050352425E81.011485944E9UNF:6:UL07C6DkFYHbUsrqlerfIg==Region ID9.010.08.00.012840.00.9000258287390533.8.869158878504589Upper East region8Northern Region10Upper West regionUNF:6:7/lC98iVhnD/lpLm6K2d1A==District ID0.03.73388895429089461.012840.011.05.0.5.3995327102797018Wa West7Bongo9Wa municipal6Talensi-Nabdam2Salvelugu11Nadowli4Kassena Nankana West5Kassena Nankana East3West Maprusi1Tolon/Kumbungu10Wa EastUNF:6:1B5Xg+b5F9Pv7F0JNAEVPA==Community ID14.65362527463402425.050.025.1760124610592341.012840.0.0.022Kpelung33Nyangua41Tabiase19Kadia45Tiborgunayili40Siiriyin16Gyilli32Nyagli26Laogri38Sabulungo11Goli9Gbanjon1Arigu20Karemiga37Sa Gie17Issa21Kpallung15Gushie8Fian14Guo46Tindan47Tingoli27Nabogu30Nasia4Botingli18Jana48Wogu3Bonia29Naro12Goripie7Duko5Cheyohi No. 223Kpirim34Papu28Namiyila39Shia42Tanina13Goriyiri24Kukobila2Basigu6Disiga49Yenduri35Pase31Natodor25Kukua10Gia43Tekuru44Tibali36Pigu50ZankoUNF:6:mj9J/H7K88+600OeRHzA6Q==Service type309.0304.50.0.12840.0304.52.8723931787638586300.0305the district capital303the nearest weekly market place304the nearest daily market place?300the nearest motorable road307the nearest health care facility309secondary school306the nearest place with daily bus stop or taxi service301the nearest all-season road302the nearest asphalt road308primary schoolUNF:6:FIBM3/dSsFHXFkqHqrJswg==How many minutes does it take to get to [Service type] from your house, using th57.461761624918441.012839.0-99.0.15.0582.015.880052963626461-99Not applicableUNF:6:TFaj0ra5OctCgjTy0DvzPg==Treat variable0.02.01.02.1947040498442356.12840.04.01.07992175881911433AR20131Control2ARNB4AR2014UNF:6:GAyBtPWg81XN1Z5d8uLdYg==Household ID8.01051513E81.011485944E9.9.050352425E88.925701391471971E89.366316336695789E71284.00.0UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID0.01284.0.9.00.90034144886430910.08.08.869158878504689Upper East region8Northern Region10Upper West regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID.1.05.00.01284.05.3995327102803473.73519835060160211.010Wa East5Kassena Nankana East3West Maprusi7Bongo8Wa West4Kassena Nankana West2Salvelugu11Nadowli6Talensi-Nabdam9Wa municipal1Tolon/KumbunguUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID0.01.0.50.025.1760124610592325.014.6587639927668561284.026Laogri6Disiga3Bonia23Kpirim13Goriyiri14Guo47Tingoli30Nasia27Nabogu28Namiyila45Tiborgunayili7Duko11Goli40Siiriyin43Tekuru12Goripie49Yenduri1Arigu38Sabulungo31Natodor8Fian25Kukua2Basigu29Naro34Papu44Tibali48Wogu24Kukobila15Gushie22Kpelung17Issa18Jana32Nyagli16Gyilli39Shia37Sa Gie33Nyangua50Zanko35Pase9Gbanjon10Gia41Tabiase20Karemiga36Pigu19Kadia5Cheyohi No. 24Botingli46Tindan21Kpallung42TaninaUNF:6:al9Z5YKWQlgQIIBI59eNEg==In the past 7 days, did you worry that your household would not have enough food.1.66900311526479680.470755287713275351.02.01284.00.02.02No1YesUNF:6:T9PYU1a+IiBQ1hNBK8On4g==In the past 7 days, how many days have you or someone in your household had to:R0.00.01284.0.1.70038540445111260.98130841121496157.00.0UNF:6:6qg1kwgeigWSy179NefXJQ==In the past 7 days, how many days have you or someone in your household had to:L1.81202060733057730.0.1.03271028037382951284.00.07.00.0UNF:6:mXXkhiP96K5jAEsB+SWWaQ==In the past 7 days, how many days have you or someone in your household had to:L1284.07.01.685473889089217.0.00.00.00.8465732087227432UNF:6:Y5kHlu5rkB664CPDpQugVg==In the past 7 days, how many days have you or someone in your household had to:R0.76791277258566861284.01.63954397549091760.07.0.0.00.0UNF:6:Z+WamWC2QW+81XwWHTZX5g==In the past 7 days, how many days have you or someone in your household had to:R1284.00.00.00.489096573208722357.00.0.1.3391541612217464UNF:6:fSsAcmxSvmW3Y0rDqj0PlA==In the past 7 days, how many days have you or someone in your household had to:B0.00.00.186137071651091140.76991017882416750.07.0.1284.0UNF:6:eRQeavzJNm9vSZl1aXuA9Q==In the past 7 days, how many days have you or someone in your household had to:H0.79241946206612310.00.01284.00.190031152647974777.0.0.0UNF:6:pu4uJBGwrs+1LhqdMA5hRQ==In the past 7 days, how many days have you or someone in your household had to:G0.06464174454828681284.00.00.44110215464892770.05.00.0.UNF:6:3BWzD5hH5M0UKEv81CQlNA==In the past 7 days, how many days have you or someone in your household had to:h.7.01284.00.44392523364486090.00.01.30797738724174820.0UNF:6:mJmyu3ouuYq5SEnszV9fOA==How many meals, including breakfast are taken per day…..in the household?0.06.00.494967915843410932.8309968847352043.01284.00.0.UNF:6:vAUuaoB17aq9aQRxLHHMHg==How many meals, including breakfast are taken per day……among children (6-59 mont4.010.01284.00.00.0.3.54049844236759761.7414514692620298UNF:6:3VsKIkOJSfdZ1kgXGtBdiw==What did your children below 5 years old (0-4 years) have for breakfast yesterda7.01044.01.013.02.80750261784117377.5.240.01Tea/Drink With Sugar9Porridge Without Sugar12Nothing13Other11Leftover/ T.Z (Tuozaafi)8Porridge With Milk3Solid Food Only (Cassava, Sweet Potato, Banana, Rice)6Porridge With Solid Food (As In Response Option 3)10Breastmilk7Porridge With Sugar2Milk/Milk Tea With Sugar4Tea/Drink With Solid Food (As In Response Option 3)5PORRIDGE WITH GROUNDNUT FLOURUNF:6:jCIFEQNVl90DHrrE6pqxiw==What did your children between 5 to 13 years old have for breakfast yesterday?13.01176.07.5926870748299282.968758908085136108.0.7.01.03Solid Food Only (Cassava, Sweet Potato, Banana, Rice)10BREASTMILK11Leftover/ T.Z (Tuozaafi)2Milk/Milk Tea With Sugar7Porridge With Sugar4Tea/Drink With Solid Food (As In Response Option 3)9Porridge Without Sugar6Porridge With Solid Food (As In Response Option 3)1Tea/Drink With Sugar8Porridge With Milk13Other5PORRIDGE WITH GROUNDNUT FLOUR12NothingUNF:6:5V0PAI9rztzWhgglZAdVpQ==Do all household members eat roughly the same diet?1.01.02.01284.01.04595015576323960.0.0.20945860660269781Yes2NoUNF:6:peptwm1S61JSuS85nWGOFw==Who and how many in the household usually eat a more diverse variety of foods, a1.77966101694915250.4180330217186483.2.01225.02.059.01.01More Diverse2Less DiverseUNF:6:DZiTx8hrDrT5lRRj8D6HqQ==Who and how many in the household usually eat a more diverse variety of foods, a.59.01.01.01.28813559322033892.01225.00.45678212785962812Less Diverse1More DiverseUNF:6:QfU6wLKEMk9qYSl8XCzIKA==Who and how many in the household usually eat a more diverse variety of foods, a1.06779661016949161.0.0.2535545088414485359.01.01225.02.01More Diverse2Less DiverseUNF:6:YXV3mEvqjvwHFAozXz29iA==In the last 12 months, have you been faced with a situation when you did not hav0.49619769125246920.01284.02.02.01.01.5630841121495331.1Yes2NoUNF:6:zN6w8ubF4JEUztmjNMLhJA==Did you experience shortage of food in [MONTH], [YEAR]?2013 jan2.00.32666489972134361.878787878787879.1.0561.02.0723.02No1YesUNF:6:5Z0z+vENmroLSKPdNS+p9g==Did you experience shortage of food in [MONTH], [YEAR]?2013 Feb1.88057040998217471.02.0561.0.0.324582747178163042.0723.02No1YesUNF:6:1ZvduENmuunq2sR8Vl0xQQ==Did you experience shortage of food in [MONTH], [YEAR]?2013 Mar2.0561.02.01.00.378503076022769451.827094474153297723.0.1Yes2NoUNF:6:BsarAWjRYu14vYrAxLZTuA==Did you experience shortage of food in [MONTH], [YEAR]?2013 Apr561.00.437193633864005671.74331550802139072.0723.02.0.1.01Yes2NoUNF:6:6w6WKlTyRIedeKYfX2s9wQ==Did you experience shortage of food in [MONTH], [YEAR]?2013 May561.0.2.02.01.0723.01.63458110516934090.481977190034732332No1YesUNF:6:kA4CO33t2LQBHVofsgcfWw==Did you experience shortage of food in [MONTH], [YEAR]?2013 June1.38324420677361880.48661090268684132.01.0561.0723.01.0.2No1YesUNF:6:4YY3pkhXDXTa6NnZhy+pCw==Did you experience shortage of food in [MONTH], [YEAR]?2013 July1.2780748663101602561.01.02.00.44845034932932915723.01.0.2No1YesUNF:6:9WLOMW/M3RttOQg7QmNZkw==Did you experience shortage of food in [MONTH], [YEAR]?2013 Aug1.51158645276292322.0.0.5003118457112544561.01.0723.02.02No1YesUNF:6:HejDbNUYzOORtBTL5HX7XA==Did you experience shortage of food in [MONTH], [YEAR]?2013 Sep1.00.41042563012190612.01.7860962566844925.723.02.0561.02No1YesUNF:6:t200VFrZb+oLoSKpCScKZQ==Did you experience shortage of food in [MONTH], [YEAR]?2013 Oct1.9251336898395723723.02.0.1.02.00.2634103770506536561.01Yes2NoUNF:6:r/Na0JFgO+OwRrkTWqvSDw==Did you experience shortage of food in [MONTH], [YEAR]?2013 Nov2.01.9536541889483066723.0.561.02.00.210420535190229771.02No1YesUNF:6:O6i4B+vkOw9ZV4lVfMKaYg==Did you experience shortage of food in [MONTH], [YEAR]?2013 Dec1.9643493761140818.561.01.02.02.0723.00.185582998000709542No1YesUNF:6:RlyrmGfIHvCmOUift7oxVA==Did you experience shortage of food in [MONTH], [YEAR]?2014 Jan0.28259051205668106.561.01.0723.02.02.01.91265597147950131Yes2NoUNF:6:kUcQ0YmHZqNz5tTWl71ynQ==Did you experience shortage of food in [MONTH], [YEAR]?2014 Feb.1.8680926916221042.00.3386919670375697561.0723.02.01.02No1YesUNF:6:CjEhzjpG+ZJYpVDWPSzfWQ==Did you experience shortage of food in [MONTH], [YEAR]?2014 Mar.0.4188623076842463723.02.01.7736185383244212.0561.01.01Yes2NoUNF:6:ddk6EzUc2IwL8pNsGWC8/Q==Did you experience shortage of food in [MONTH], [YEAR]?2014 Apr561.00.482472253530224051.0723.02.0.2.01.63279857397504462No1YesUNF:6:XVz1ptEJ0/rUyRPGBtdDQw==Did you experience shortage of food in [MONTH], [YEAR]?2014 May1.02.01.01.4064171122994655561.00.49160251509680314.723.01Yes2NoUNF:6:cMTDRM8pJAaAP9iW+MPzaQ==What was the cause of this situation? 1st723.01.02.23172905525846682.764531484077884712.0561.0.1.012Other8Floods/Water Logging/Hailstorm11FIRE7No Food In The Market6NOT ABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS10THEFT9No Money4Inadequate Household Food Stocks Due To Lack Of Farm Inputs2Inadequate Household Food Stocks Due To Crop Pest Damage1Inadequate Household Stocks Due To Drought/Poor Rains3Inadequate Household Food Stocks Due To Small Land Size5Food In The Market Was Very ExpensiveUNF:6:Z30wDMT6/UriQo5XPZW0Dg==What was the cause of this situation? 2nd12.03.16649335984916875.5938697318007671.0762.04.0.522.06NOT ABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS3Inadequate Household Food Stocks Due To Small Land Size11FIRE12Other2Inadequate Household Food Stocks Due To Crop Pest Damage5Food In The Market Was Very Expensive8Floods/Water Logging/Hailstorm7No Food In The Market1Inadequate Household Stocks Due To Drought/Poor Rains10THEFT4Inadequate Household Food Stocks Due To Lack Of Farm Inputs9No MoneyUNF:6:3Yeyx49gs8qeb77XeBcubw==What was the cause of this situation? 3rd0.012.012.012.01245.039.012.0.8FLOODS/WATER LOGGING/HAILSTORM1INADEQUATE HOUSEHOLD STOCKS DUE TO DROUGHT/POOR RAINS12Other9NO MONEY10THEFT5FOOD IN THE MARKET WAS VERY EXPENSIVE4INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO LACK OF FARM INPUTS7NO FOOD IN THE MARKET6NOT ABLE TO REACH THE MARKET DUE TO HIGH TRANSPORTATION COSTS3INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO SMALL LAND SIZE2INADEQUATE HOUSEHOLD FOOD STOCKS DUE TO CROP PEST DAMAGE11FIREUNF:6:c91X8+DjO4KSEBWJF5PtyA==Treat variable0.01.08030046466288642.02.1947040498442391.0.1284.04.03AR20132ARNB1Control4AR2014UNF:6:Cl/0uHxzDofRdchhlYuNKA==Household ID8.902273438365698E8.9.300927468012244E79.05035229E81.011485944E90.018441.08.01051513E8UNF:6:vB57TtGNV2EWSzKAoQ1tug==Region ID8.00.89376712229502410.018441.08.846808741391559.9.010.09Upper East region8Northern Region10Upper West regionUNF:6:0QZL6u2g/jklHT/+kNJ9Zw==District ID.3.73494857680995118441.05.294181443522960.011.01.05.01Tolon/Kumbungu2Salvelugu7Bongo10Wa East9Wa municipal6Talensi-Nabdam11Nadowli8Wa West5Kassena Nankana East3West Maprusi4Kassena Nankana WestUNF:6:JyJ2M5C1qog+7hsYp6m8vQ==Community ID24.92966758852460518441.01.00.014.60512750358610650.025.0.36Pigu3Bonia13Goriyiri46Tindan19Kadia44Tibali12Goripie41Tabiase34Papu27Nabogu17Issa16Gyilli50Zanko20Karemiga15Gushie7Duko47Tingoli14Guo25Kukua48Wogu43Tekuru10Gia1Arigu40Siiriyin24Kukobila22Kpelung8Fian23Kpirim35Pase42Tanina45Tiborgunayili6Disiga4Botingli2Basigu31Natodor30Nasia5Cheyohi No. 233Nyangua32Nyagli11Goli9Gbanjon39Shia29Naro37Sa Gie18Jana38Sabulungo26Laogri49Yenduri28Namiyila21KpallungUNF:6:lbYTdYzzGVdIFM42+vp6Iw==Unique Household Identifier6666.018441.01929.24601706527463218.02.02991.5780055311280.0.UNF:6:kFbGmOkF6+pptqWQNMZ1Aw==Food ID377.3857643978351101.0.0.01303.0705.018441.0702.3988937693189304Honey, syrups, jams, marmalade, jellies, canned fruits799Other fruits903Canned milk/milk powder608Green pepper1104Ginger106Rice605Canned, dried and wild vegetables601Onions504Wild nuts and seeds1002Butter, margarine, ghee802Beef including minced sausage503Seeds and products from nuts/seeds (excl. cooking oil)501Groundnuts in shell/shelled1208Wine and spirits803Pork including sausages and bacon610Wild vegetables201Cassava fresh811Dried/salted fish108Buns, cakes and biscuits703Mangoes1204Bottled/canned soft drinks (soda, juice, water)105Late millet109Macaroni, spaghetti103Sorghum/guinea corn1301Full meals (breakfast, lunch or dinner)1302Barbecued meat, chips, roast bananas1299Other206Cocoyams805Wild birds, insects, mice1303Samosa, cake and other snacks301Sugar807Bushmeat804Chicken and other poultry1001Cooking oil899Other meat303Sweets207Plantains104Early millet602Spinach702Citrus fruits (oranges, lemon, tangerines, etc.)810Smoked fish699Other vegetables499Other pulses1199Other spices701Ripe bananas607Carrots202Cassava dry/flour101White maize1207Local brews (pito, sobolo, zomkom)1201Tea dry401Peas, beans, lentils603Cabbage399Other sweets812Package/Canned fish1206Bottled beer205Yams402Cow peas704Avocadoes705Wild fruits599Other nuts and seeds1202Coffee and cocoa1106Dawadawa1102Saltpetre (kawa)1103Pepper606Tomatoes1101Salt102Yellow maize901Fresh milk806Other domestic meat products502Bambara nuts801Goat meat107Other grains1205Prepared tea, coffee204Frafra potatoes604Moringa808Eggs999Other dairy products302Sugarcane203Sweet potatoes902Milk products1099Other fat products1105Ethiopian pepper809Fresh fish and other seafoodUNF:6:lWxf9NG5i0l5U759eHxmFw==Within past 7 days, did members of HH consume FOOD within/outside the household?1.00.01.01.01.018441.0.0.02No1YesUNF:6:sRG+mfenk1VE/+XM+PKU+A==Quantity of [FOOD] consumed by household in past 7 days.13.7456457543863680.02.0840.04.66801258066271218441.00.1UNF:6:q+QGrIyE25p6+EyJ450JSw==Unit for q3a12.3264465050701021.016.00.0.21.07.75361084464087218441.05Cane/Basket1Kilogram18Cup20Bowl13Headload3Liter16Sachet/tube4Unit or Piece2Gram17Plate19Heap15Bale21Other14Bunch6BucketUNF:6:hiWKhkxuHjlWOYXTchH8ww==Quantity of [FOOD] that came from purchases1.010.6551465284641032.924731305243736.18441.00.00.0840.0UNF:6:id9dtE+R6ao4D3GyZjCl8Q==Unit for q4a1.012895.0.11.6331136099264216.07.6785668823196855546.021.014Bunch18Cup19Heap13Headload16Sachet/tube4Unit or Piece5Cane/Basket20Bowl17Plate1Kilogram6Bucket3Liter21Other15Bale2GramUNF:6:hWENXBPJ9g16uIBVYHCiiA==How much did you spend to purchase CONSUMPTION ITEM in total?0.05546.0.12895.0180.03.79220511826293732.06.056316253927433UNF:6:L4S/ipSVZgGUINKfZMuBLw==Quantity of [FOOD] that came from own production0.9171618430446740.00.018209.03.8543027314259777.232.0200.0UNF:6:hXtUM9APSB1DD+Ifg6a8BA==Unit for q6a1.07.72840349390131820.021.013.938618346545894.4415.014026.013Headload18Cup15Bale14Bunch19Heap4Unit or Piece16Sachet/tube5Cane/Basket1Kilogram6Bucket20Bowl3Liter17Plate21Other2GramUNF:6:Yd8z8/7ZGx20ZBt653Fx5A==Quantity of [FOOD] that came from gifts and other sources232.0.0.070.00.00.231278488659452771.670117757416056218209.0UNF:6:mAGuUmb2QLBzbMH2G3PoOg==Unit for q7a1.01107.012.691960252935857.7.88043325278398418.021.017334.019Heap14Bunch15Bale5Cane/Basket2Gram3Liter16Sachet/tube13Headload21Other6Bucket4Unit or Piece18Cup17Plate1Kilogram20BowlUNF:6:SaDC7GcF3KQWc5VoqdTRug==Treat variable.2.04.02.21300363320859540.01.01.076199873398555218441.04AR20141Control3AR20132ARNBUNF:6:rjgM7aFoaXHhi7QuNQDfug==Household ID8.902273438365698E81.011485944E918441.0.0.09.300927468012235E78.01051513E89.05035229E8UNF:6:5dT1O6R1GduSNgCkFWHKgA==Region ID10.09.08.846808741391559.0.018441.08.00.89376712229502419Upper East region10Upper West region8Northern RegionUNF:6:0QZL6u2g/jklHT/+kNJ9Zw==District ID1.03.734948576809951.11.018441.05.00.05.2941814435229611Nadowli2Salvelugu3West Maprusi8Wa West6Talensi-Nabdam10Wa East1Tolon/Kumbungu4Kassena Nankana West5Kassena Nankana East7Bongo9Wa municipalUNF:6:JyJ2M5C1qog+7hsYp6m8vQ==Community ID24.92966758852460525.050.00.018441.014.6051275035861061.0.23Kpirim5Cheyohi No. 21Arigu48Wogu27Nabogu32Nyagli28Namiyila25Kukua9Gbanjon10Gia45Tiborgunayili42Tanina16Gyilli29Naro7Duko44Tibali50Zanko6Disiga22Kpelung33Nyangua3Bonia17Issa30Nasia20Karemiga34Papu14Guo47Tingoli4Botingli36Pigu26Laogri21Kpallung31Natodor43Tekuru13Goriyiri39Shia15Gushie35Pase12Goripie41Tabiase18Jana24Kukobila49Yenduri8Fian40Siiriyin46Tindan2Basigu11Goli37Sa Gie38Sabulungo19KadiaUNF:6:lbYTdYzzGVdIFM42+vp6Iw==Unique Household Identifier3218.02.02991.5780055311260.01929.246017065274.18441.06666.0UNF:6:2p/Qsjv2nvoYVVkCjcrS+g==Food ID101.0.0.0702.3988937693174705.01303.0377.38576439783518441.0499Other pulses902Milk products1106Dawadawa806Other domestic meat products201Cassava fresh901Fresh milk599Other nuts and seeds610Wild vegetables104Early millet1002Butter, margarine, ghee1208Wine and spirits108Buns, cakes and biscuits801Goat meat802Beef including minced sausage1103Pepper606Tomatoes999Other dairy products799Other fruits203Sweet potatoes205Yams1101Salt1202Coffee and cocoa1207Local brews (pito, sobolo, zomkom)1105Ethiopian pepper1206Bottled beer1299Other604Moringa601Onions608Green pepper1301Full meals (breakfast, lunch or dinner)503Seeds and products from nuts/seeds (excl. cooking oil)1001Cooking oil109Macaroni, spaghetti808Eggs603Cabbage699Other vegetables1204Bottled/canned soft drinks (soda, juice, water)704Avocadoes504Wild nuts and seeds1302Barbecued meat, chips, roast bananas301Sugar102Yellow maize101White maize607Carrots502Bambara nuts807Bushmeat703Mangoes204Frafra potatoes810Smoked fish1104Ginger809Fresh fish and other seafood107Other grains401Peas, beans, lentils702Citrus fruits (oranges, lemon, tangerines, etc.)805Wild birds, insects, mice899Other meat303Sweets1303Samosa, cake and other snacks602Spinach1199Other spices399Other sweets402Cow peas1099Other fat products705Wild fruits202Cassava dry/flour106Rice1205Prepared tea, coffee207Plantains701Ripe bananas812Package/Canned fish103Sorghum/guinea corn501Groundnuts in shell/shelled803Pork including sausages and bacon304Honey, syrups, jams, marmalade, jellies, canned fruits811Dried/salted fish804Chicken and other poultry1102Saltpetre (kawa)605Canned, dried and wild vegetables1201Tea dry903Canned milk/milk powder302Sugarcane206Cocoyams105Late milletUNF:6:r1fhIKdwdOyQ8CHP7iiVIA==Within past 7 days, did members of HH consume FOOD within/outside the household?18441.01.00.01.0.1.00.01.01Yes2NoUNF:6:sRG+mfenk1VE/+XM+PKU+A==Quantity of [FOOD] consumed by household in past 7 days840.00.00.118441.02.013.74564575438636.4.66801258066271UNF:6:4TDLBP6q2DWoIh14wO3fLw==Quantity of [FOOD] consumed by household in past 7 days - KG0.010.8567207946274318132.04.021488274308761309.01.399999976158142.462.0UNF:6:AmTXOx7xbtJS45B1v3QW+A==Unit for q3a1.0.7.75361084464089718441.012.32644650507012316.021.00.01Kilogram19Heap13Headload21Other14Bunch6Bucket17Plate3Liter18Cup15Bale2Gram5Cane/Basket16Sachet/tube20Bowl4Unit or PieceUNF:6:Vmes0kUVFkLaM4kGBjdIpg==Conversion factor [UNIT] to kg0.9499999880790711.3365883834799039.100000381469727.0.01.270633339196645814790.03651.0UNF:6:RBD55dtgRbss8NyTMckb/A==Conversion factor [UNIT] to kg - from HH ARBES prices0.50.02.806469011796192.3216.015225.030.01.4730071883661802UNF:6:8kulivKBjVdNE9TSbgXcmg==Conversion factor [UNIT] to kg - from Com ARBES prices13341.01.2972386334681551.014.05100.00.014285714365541935.1.0544661165244318UNF:6:I4IvGrjFHCLSJgGXeQxhyg==Conversion factor [UNIT] to kg - from ARBES community by food groups1556.00.5500000119209291.2298286670576108.20.00.00100000004749745131.642106388332210516885.0UNF:6:wRHS4P6iSoKgXf1tIAR/+w==Conversion factor [UNIT] to kg - from ARBES community by measurement units0.40000000596046451.152471242109224311.018130.03.0.1.1252258240073690.0010000000474974513UNF:6:ZBthZlzhFzuAWXubzD9P6g==Quantity of [FOOD] that came from purchases0.00.018441.02.924731305243735.840.01.010.655146528464101UNF:6:3snrB7mn+bqs/PerDuAzXQ==Quantity of [FOOD] that came from purchases - KG1.09.820579282153883.231.00.012745.03.1288911491169335696.0UNF:6:5aCYsmkIF0h5nMY87OAZRQ==Unit for q4a11.6331136099264157.67856688231968721.05546.01.016.0.12895.015Bale17Plate1Kilogram19Heap14Bunch16Sachet/tube6Bucket13Headload3Liter5Cane/Basket21Other4Unit or Piece2Gram20Bowl18CupUNF:6:4hOLM8VVP/JDRtW4nrSIYA==Conversion factor [UNIT] to kg0.010353.00.56.8000001907348631.0972903643040421.2081515717843074.8088.0UNF:6:PyCXsCtadZr079l4fM6KsA==Conversion factor [UNIT] to kg - from HH ARBES prices.30.015902.02.00474736101541051.1649955538969520.02539.00.4938271641731262UNF:6:HEv/WyWTbrOh/6U1gvvjDQ==Conversion factor [UNIT] to kg - from Com ARBES prices1.014.03894.01.254786399575018414547.0.1.01476151349824460.014285714365541935UNF:6:RyYuS9Fmdz6o+gUE7/iLMA==Conversion factor [UNIT] to kg - from ARBES community by food groups1.737632867739753512041.020.01.054624507403692.6400.00.00100000004749745130.32499998807907104UNF:6:mijJmSNMyqURM77ZISO2gg==Conversion factor [UNIT] to kg - from ARBES community by measurement units3.012743.05698.00.40000000596046450.00100000004749745130.97417622200843761.046213885756082.UNF:6:Wyw1kKHFF2FbxTNxlwSWrQ==How much did you spend to purchase CONSUMPTION ITEM in total?0.02.05546.0180.0.6.05631625392743212895.03.7922051182629364UNF:6:2umeowqVBMl9DdOB+F91ag==Quantity of [FOOD] that came from own production0.0200.0232.03.854302731425977718209.00.9171618430446751.0.0UNF:6:ZM4W2Ssj1tSE1afkLjne7Q==Quantity of [FOOD] that came from own production - KG13.536492842639205.4380.02.75462.06.5145185608318581.9999999494757503E-414061.0UNF:6:cN5iE2fmvlqrxmh7QY/ipg==Unit for q6a20.01.0.14026.07.72840349390131221.013.938618346545894415.020Bowl17Plate13Headload18Cup4Unit or Piece5Cane/Basket3Liter14Bunch6Bucket19Heap21Other15Bale16Sachet/tube2Gram1KilogramUNF:6:HV5Qq94Br2Nxsctv1524xQ==Conversion factor [UNIT] to kg2.70000004768371614745.03696.01.215964480443596.1.9999999494757503E-41.947156992155887.0UNF:6:qfgdfkPQffKg7h+3mIUaHg==Conversion factor [UNIT] to kg - from HH ARBES prices0.015384615398943424595.017846.04.75968818239485450.63999998569488532.7679546431286113.30.0UNF:6:EwkMBTsDlET0/4lXYlV6Jw==Conversion factor [UNIT] to kg - from Com ARBES prices1.144214897936361614.01.21294803438129481.0.1023.017418.00.03999999910593033UNF:6:A/v2Mx1hu+MKiA2uTFBFiw==Conversion factor [UNIT] to kg - from ARBES community by food groups0.00100000004749745131.71262402791423221.20385269403772542.5.14467.03974.03.200000047683716UNF:6:zF2QuHkHmER3UP/IOml98A==Conversion factor [UNIT] to kg - from ARBES community by measurement units2.59999990463256841.19345924491939.3.00.00100000004749745134380.014061.01.63130205929586UNF:6:x5uh8DQ6w0L4OwnomU9azw==Quantity of [FOOD] that came from gifts and other sources0.018209.070.0.0.00.231278488659452721.6701177574160548232.0UNF:6:2i/wKM+v3Xrktp+egeirsQ==Quantity of [FOOD] that came from gifts and other sources - KG10.4115554937806714.5442325307768041.7000000476837158165.017346.01095.00.0.UNF:6:aYuL3bukXLR+f8VF439Xag==Unit for q7a1.07.88043325278398112.691960252935859.21.01107.018.017334.018Cup13Headload16Sachet/tube20Bowl19Heap4Unit or Piece17Plate5Cane/Basket3Liter21Other15Bale6Bucket1Kilogram14Bunch2GramUNF:6:NqjNWAZ3ejvPpZZ9hr/zZg==Conversion factor [UNIT] to kg.17622.01.5883553210513626.8000001907348631.25657495491719980.01.600000023841858819.0UNF:6:OJril29pFgS7lMHvEQNcxQ==Conversion factor [UNIT] to kg - from HH ARBES prices18339.0102.07.6923079490661621.18520864177787440.408333331346511840.015384615398943424.1.9588877832367588UNF:6:NOgxBRqZ4zZMmxMG8DA2VA==Conversion factor [UNIT] to kg - from Com ARBES prices18197.01.3566435658350042.244.01.02.15933400761386940.01428571436554193514.0UNF:6:REkERc2GhlRsEYszg+gNpA==Conversion factor [UNIT] to kg - from ARBES community by food groups17471.01.0970.00.0010000000474974513.1.42277109527782761.60871894370629120.0UNF:6:9IZuDFex3VxVvYPxs5rmYA==Conversion factor [UNIT] to kg - from ARBES community by measurement units3.017346.01095.01.13433839006589940.00100000004749745130.60000002384185791.3071374455148992.UNF:6:xxSH4CIO+jhLq53PK2Qw2Q==Treat variable18441.02.02.21300363320859541.07619987339855520.04.0.1.01Control4AR20143AR20132ARNBUNF:6:wj8UIe45/3pKAYZ+yXvjlw==Household ID0.09.268735092491293E78.03301309E88.877484683845009E8.1.011485944E98.01051513E88247.0UNF:6:1r5gt6Joe2AWbnvzx92fzw==Region ID0.08.0.10.08.8234509518613528.08247.00.89117704747320389Upper East region10Upper West region8Northern RegionUNF:6:vbLqaEND1zkWVm/UPWGOxg==District ID5.1527828301196943.00.011.08247.01.0.3.6763875044606472Salvelugu7Bongo8Wa West1Tolon/Kumbungu4Kassena Nankana West10Wa East3West Maprusi6Talensi-Nabdam9Wa municipal5Kassena Nankana East11NadowliUNF:6:wad7V+s97ecincDxk/vFXg==Community ID1.00.024.014.58088684567418124.7548199345214048247.050.0.35Pase18Jana3Bonia31Natodor39Shia2Basigu24Kukobila47Tingoli16Gyilli42Tanina6Disiga20Karemiga45Tiborgunayili21Kpallung14Guo43Tekuru10Gia38Sabulungo37Sa Gie22Kpelung11Goli5Cheyohi No. 219Kadia29Naro27Nabogu33Nyangua1Arigu44Tibali15Gushie48Wogu12Goripie9Gbanjon17Issa30Nasia7Duko8Fian32Nyagli13Goriyiri46Tindan28Namiyila34Papu23Kpirim41Tabiase36Pigu26Laogri4Botingli25Kukua40Siiriyin49Yenduri50ZankoUNF:6:VFMySgjN1h5dFnrkXL6mwQ==Item8246.0.201.0212.0229.0213.386611690516625.5401449271023731.0226Mortgage (regular payment to purchase house) or rent216Personal care products for men (shampoo, razor blades, hair products, etc.)219Phone, internet, postage stamps or other postal fees209Milling fees, grain228Lotteries and raffles229Sacrifice (animals)212Toothpaste, toothbrush, chewing stick217Household cleaning products (dish soap, toilet cleansers, etc.)224Wages paid to servants218Light bulbs/candles/tourch batteries201Kerosene227Repairs to household and personal items (radios, watches, etc.)222Fuel for motor cycle221Motor vehicle service, repair, or parts214Glycerine, Vaseline, skin creams206Other utilities (i.e., sewage)210Bar soap (for body or cloths)223Bicycle service, repair, or parts220Donation - to church, mosque, charity, beggar, etc.205Petrol or diesel213Toilet paper208Firewood225Repair cost to farm implements211Clothes soap (powder)202Electricity, including electricity vouchers204Water207CharcoaL215Personal care products for women (shampoo, cosmetics, hair products, etc.203Gas (for lighting/cooking)UNF:6:zjp33OoSQtNNrWmMjatNLA==Over the past 7 days, did you purchase any [ITEM]?8247.01.01.0.1.00.00.01.01Yes2NoUNF:6:hKsKUHAcAbqvW5VrZkmwog==How much did you pay in total for [ITEM]?12.2316114950891695.5.0.057.0595208740186958247.03000.00.0UNF:6:Pj0dlvWfUkkrZiBCvOqoCQ==Treat variable1.08247.00.02.04.0.2.24760518976597371.07404669543052122ARNB4AR20143AR20131ControlUNF:6:ybHkqmxLoWHAAf7coc8tKA==Household ID8.855185161955357E82731.08.03282362E88.01051513E89.315257367024875E7.1.011485944E90.0UNF:6:G7yQQYSsbXVTF08zaVSbbA==Region ID10.00.89574360637501148.00.02731.08.801537898205776.8.08Northern Region9Upper East region10Upper West regionUNF:6:IzO+Cf736iSmSPv1GqM2CQ==District ID3.6844134116587790.03.011.02731.05.1091175393627441.0.1Tolon/Kumbungu8Wa West3West Maprusi11Nadowli9Wa municipal6Talensi-Nabdam4Kassena Nankana West7Bongo2Salvelugu5Kassena Nankana East10Wa EastUNF:6:IR5hRQN5A+Ur2t6HCK+ZPQ==Community ID25.014.4898497736430141.02731.025.2691321860125630.0.50.021Kpallung44Tibali47Tingoli36Pigu34Papu50Zanko19Kadia2Basigu15Gushie48Wogu6Disiga14Guo35Pase41Tabiase26Laogri1Arigu30Nasia12Goripie16Gyilli31Natodor43Tekuru10Gia42Tanina17Issa49Yenduri37Sa Gie27Nabogu23Kpirim13Goriyiri11Goli5Cheyohi No. 28Fian29Naro46Tindan4Botingli38Sabulungo39Shia18Jana33Nyangua22Kpelung32Nyagli9Gbanjon25Kukua7Duko20Karemiga28Namiyila45Tiborgunayili3Bonia40Siiriyin24KukobilaUNF:6:UmOKO2+nE9FTlYhsALRCgA==Non-food item (weekly consumption)103.0104.0102.831497797356832724.0101.07.0.0.9680267720631844104Cell phone voucher103Public transport101Cigarettes or tobacco102MatchesUNF:6:5ARZ6y0gsc56j1O6f4rkwQ==Over the past 7 days, did you purchase any [ITEM]?1.02731.00.0.1.01.01.00.02No1YesUNF:6:b7LKdlu06Rsi8/6DLD1D6Q==How much did you pay in total for [ITEM]? GHC160.0.2731.09.6047954152690260.05.2631636763090470.02.0UNF:6:CcqImttMxWC1lNTKEf1fJw==Treat variable2.01.0807213842602462.16623947272061331.04.00.02731.0.2ARNB4AR20141Control3AR2013UNF:6:EljGWRPdDcjLqV9qxsk/lA==Household ID8.916650073161436E88.01051513E80.011141.09.05035228E8.9.402405259992284E71.011485944E9UNF:6:W0O3Jg7G5Hl7uIQdmnvCCg==Region ID11141.0.8.8607844897226448.00.09.010.00.90396477304825089Upper East region10Upper West region8Northern RegionUNF:6:VZtvL74+6Vfe6cY0m8BHsA==District ID11141.011.01.03.7382904374464150.0.5.3365048020824515.04Kassena Nankana West5Kassena Nankana East7Bongo2Salvelugu1Tolon/Kumbungu6Talensi-Nabdam8Wa West9Wa municipal10Wa East3West Maprusi11NadowliUNF:6:Hjc/cTk2ZTmoywbjHnt5qA==Community ID0.0.24.704604613589071.024.011141.050.014.53811573542989831Natodor47Tingoli19Kadia8Fian34Papu1Arigu46Tindan39Shia29Naro3Bonia28Namiyila24Kukobila33Nyangua4Botingli7Duko32Nyagli15Gushie45Tiborgunayili40Siiriyin48Wogu27Nabogu6Disiga12Goripie5Cheyohi No. 250Zanko42Tanina23Kpirim38Sabulungo36Pigu21Kpallung18Jana11Goli22Kpelung17Issa25Kukua16Gyilli13Goriyiri35Pase9Gbanjon20Karemiga37Sa Gie10Gia44Tibali2Basigu26Laogri43Tekuru41Tabiase14Guo30Nasia49YenduriUNF:6:s3HW7RyRlEiQ9OnmJ8eIdQ==Item10.032351713492885403.0.301.0316.49389258128267.0318.011134.0301Carpet, rugs, drapes, curtains317Garments for men302Linen - towels, sheets, blankets328Other costs not stated elsewhere318Garments for women303Mat - sleeping or for drying maize flour311Bride price /Marriage costs304Mosquito net308Health insurance fee (NHIS, etc.)322Footwear for children and babies326Cooking utensils /jerry can402Grass for thatching roof or other use309Losses to theft (value of items or cash lost)403Mud bricks327Medical expense (excluding health insurance fee)401Wood poles, bamboo310Fines or legal fees312Funeral costs307Building items - cement, bricks, timber, iron sheets, tools, etc.321Footwear for women320Footwear for men315Construction, repairs & maintenance to dwelling (human) (e.g., roofing sheet)319Garments for children and babies316Construction, repairs & maintenance to housing for animals323Membership fees (e.g., christian mothers association, funeral associations)313Repairs to consumer durables (e.g., repair cost for TV, Radio)324School fees325Motor bike305Mattress306Farm implements (e.g., cutlass, hoe)314Taxes for income, property, etc.UNF:6:BTB5rt9IUstgUK5e1G447w==Over the past 12 months, did you purchase or pay for any [ITEM]?11141.00.00.01.01.0.1.01.02No1YesUNF:6:kS6nKmWHusDFPqjI6kowzg==What was the cost of [ITEM] that you purchased?9999.0278.81522407862528.511141.00.086.74285073153234.0.0UNF:6:n6HWAogmfomvKtkEW9RmPA==Treat variable1.00.011141.02.02.231487299165241.07275690806115834.0.3AR20131Control4AR20142ARNBUNF:6:Zcdp8gw9KgN7gnrf/oRVwQ==Household ID8.01051513E88.642712064019865E73882.08.678112639204034E81.011485944E98.03011944E8.0.0UNF:6:IUKnf4w7ON6CYCrCFv39Vw==Region ID3882.08.00.010.08.0.0.83060165674577988.631375579598124UNF:6:olNr+oMumB+yO+mtzYRbNg==Community ID.3882.024.7843894899535721.024.00.014.79460452710367250.0UNF:6:w8LfNXIWgveNi8YbtsniJQ==District ID3.45581564641976473.04.422977846471018.1.03882.00.011.0UNF:6:tkWreCsSYjSPYnMBw3wJmw==Shock type6.044433630605942.3879.0108.03.0101.0107.91879350348029122.0120Immediate needs of money and selling crop at lowest price107Large fall in sale prices for crops122Other119Dwelling damaged,destroyed101Drought or floods114Death of other family member111Loss of land104Livestock died or stolen116Jailed106Loss of salaried employment or non-payment of salary108Large rise in price of food110Severe water shortage117Fire105Household business failure, non-agricultural102Strong winds/storms112Chronic/severe illness or accident of household member113Death of household member121Political, tribal, and farmer's livestock conflict118Hijacking/robbery/burglary/assault103Crop disease or pests115Break-up of the household (e.g. divorce, separation)109Large rise in agricultural input pricesUNF:6:AIPacRSCiz4KMIU4hXkegw==Over the past 5 years, was your household severely negatively affected by any of0.00.0.3882.01.01.01.01.01YesUNF:6:do3aZ6CgIygDlXvIaEAJjA==Can you rank the [SHOCK] among the three most significant shocks that you experi3129.0.1.85874081176094142.03.00.8070904294146171753.01.01Most severe2Second most severe3Third most severeUNF:6:uMsqJnmNi+csUdT5RO8sgw==Did [SHOCK] caused a reduction in household income and/or assets?753.02.3969319271332713129.01.01.0534031057013054.0.3.02Asset loss1Income loss3Loss of both4NeitherUNF:6:jIGygxDU11pexRhWIfViLQ==How dispersed was this shock? It affected...2.05.0.753.03129.01.20293420049349381.02.424416746564391Only this household2Some other households3Most households in this community5Do not know4All households in this communityUNF:6:VWQcpSY46wsL7IhgTJNgfw==When did this [SHOCK] occur/start - Year753.0-99.03129.02013.099.78708219873892007.90444231383822014.0.UNF:6:RZfwuf9OEnwHRf1SCHYAIw==When did this [SHOCK] occur/start - Month3.08660914030040923129.0.-99.05.016.756106732383824753.012.0UNF:6:RSrKlqNqsonUyOl1mMqXFw==How long did the last episode of [SHOCK] last?2.07.156249518647283129.00.03.859060402684557.753.061.0UNF:6:ndZbh15mY7IGYqoBK9DjVA==Time unit.1.03.01.59891339085969863129.01.0753.00.80631227441030972Weeks3Days1MonthsUNF:6:l9i1S2wKxb400+tJktNBQA==What did your household do in response to this [SHOCK] to try to regain your for9.1572387344199438.9088636310421822.01.02.0753.03129.0.19Smoking and drinking2Received unconditional help from relatives/friends3Received unconditional help from government20Begging7Adult household members who were previously not working had to find work14Sold crop stock8Household members migrated16Intensify fishing13Sold land/building21Did not do anything11Sold agricultural assets4Received unconditional help from ngo/relition institution17Sent children to live elsewhere9Reduced expenditures on health and/or education12Sold durable assets1Relied on own savings6Employed household members took on more employment5Changed eating patterns (relied on less preferred food options, reduced the proportion or number of meals per day, or household members skipped days of eating, etc.)22Other10Obtained credit15Sold livestock18Engaged in spiritual efforts - prayer, sacrifices, diviner consultationsUNF:6:Y6X9aBOKbErNCbyDjE3SyQ==What did your household do in response to this [SHOCK] to try to regain your for14.0.8.2935028149218052047.022.01.010.9350268685881821835.011Sold agricultural assets22Other14Sold crop stock21Did not do anything13Sold land/building16Intensify fishing8Household members migrated15Sold livestock20Begging1Relied on own savings5Changed eating patterns (relied on less preferred food options, reduced the proportion or number of meals per day, or household members skipped days of eating, etc.)7Adult household members who were previously not working had to find work3Received unconditional help from government12Sold durable assets6Employed household members took on more employment9Reduced expenditures on health and/or education4Received unconditional help from ngo/relition institution2Received unconditional help from relatives/friends18Engaged in spiritual efforts - prayer, sacrifices, diviner consultations17Sent children to live elsewhere10Obtained credit19Smoking and drinkingUNF:6:nD8LdCS/rLoV0KAtzNigrg==What did your household do in response to this [SHOCK] to try to regain your for1.022.018.014.946909667194928.1262.07.4239171836893792620.08Household members migrated7Adult household members who were previously not working had to find work16Intensify fishing6Employed household members took on more employment13Sold land/building17Sent children to live elsewhere15Sold livestock2Received unconditional help from relatives/friends14Sold crop stock18Engaged in spiritual efforts - prayer, sacrifices, diviner consultations11Sold agricultural assets10Obtained credit21Did not do anything1Relied on own savings3Received unconditional help from government5Changed eating patterns (relied on less preferred food options, reduced the proportion or number of meals per day, or household members skipped days of eating, etc.)19Smoking and drinking12Sold durable assets22Other9Reduced expenditures on health and/or education20Begging4Received unconditional help from ngo/relition institutionUNF:6:v3OAT7u/dkN5ScmWipez9Q==Treat variable2.0.3882.02.1705306543019081.07381625373233464.00.01.04AR20142ARNB3AR20131ControlUNF:6:Ghl7rwS6yqqFGGuVnScEAw==Household ID9.050352425E81.011485944E98.01051513E89.366316336695789E78.925701391471971E81284.00.0.UNF:6:y4tc5ttZeyZePileK+ZbgA==Region ID.8.8691588785046810.09.00.9003414488643091284.00.08.08Northern Region9Upper East region10Upper West regionUNF:6:m4nq/MHbe1btKfDMGIhmAg==District ID3.7351983506016020.05.05.3995327102803471284.01.011.0.3West Maprusi1Tolon/Kumbungu4Kassena Nankana West11Nadowli6Talensi-Nabdam9Wa municipal5Kassena Nankana East8Wa West7Bongo2Salvelugu10Wa EastUNF:6:r6r2EpF8hdRrjrh4uzce1w==Community ID25.176012461059231284.014.658763992766856.25.00.01.050.03Bonia33Nyangua48Wogu38Sabulungo8Fian44Tibali46Tindan28Namiyila49Yenduri41Tabiase17Issa22Kpelung34Papu7Duko39Shia47Tingoli35Pase16Gyilli30Nasia13Goriyiri25Kukua43Tekuru21Kpallung24Kukobila45Tiborgunayili40Siiriyin15Gushie36Pigu26Laogri6Disiga32Nyagli29Naro5Cheyohi No. 210Gia19Kadia18Jana20Karemiga1Arigu31Natodor14Guo50Zanko2Basigu42Tanina9Gbanjon12Goripie23Kpirim37Sa Gie27Nabogu4Botingli11GoliUNF:6:al9Z5YKWQlgQIIBI59eNEg==Confirmation of land ownership and/or ag. activities.1.00.01.00.01.01284.01.02No1YesUNF:6:pqZYv6VTGYrhaM1EusCbsw==Cropping season0.01284.01.99376947040498442.02.01.0.0.0787180796173510412012 (APRIL 2012- DEC 2012)22013 (APRIL 2013- DEC 2013)UNF:6:hPNin+vbZiTcEFgEfbquhg==Aflatoxin0.8401583602648450.01284.01.01.04.01.53271028037383.3Never heard of Aflatoxin1Yes2No4Do not knowUNF:6:5rRdFjrctasJCSmWHTHnHg==During L12M did anyone in HH apply for credit/ask for loan of at least 50 GHC.4.00.350973180703463842.01.01280.01.856252.02No1YesUNF:6:WC7Z0RNyoHmlRbKc3M2poA==During the last 12 months, did the household receive a loan?184.01100.0.1.29347826086956540.45659809971290921.01.02.01Yes2NoUNF:6:CBDZkHSrYoz7dtMxBnmgnw==During L12M did you receive any crop inputs or agricultural equip on credit?2.01.01.9104361370716514.1284.02.00.00.28566717216495132No1YesUNF:6:SXkPSlDI2okS6NI6g2964A==Is this household among the subsample of households chosen for collection of par1.00.154627176865936882.02.01225.01.975510204081632859.0.2No1YesUNF:6:nf6InI1R2vqADVc8eppV+g==Treat variable0.02.1947040498442391.01.08030046466288641284.0.2.04.03AR20132ARNB4AR20141ControlUNF:6:Cl/0uHxzDofRdchhlYuNKA==community id9627.17625807700889165.585416.50.0.101148.080105.050.0UNF:6:oOsxU0+XC5JKyq2FZxwqaw==region8.860.92604050689382.8.08.50.050.010.08Northern Region10Upper West region9Upper East regionUNF:6:V3ywYHljWgcirHGSLen3hQ==district11.050.0.0.04.05.3999999999999991.03.7742413753208318Wa West11Nadowli7Bongo10Wa East4Kassena Nankana West6Talensi-Nabdam9Wa municipal5Kassena Nankana East3West Maprusi1Tolon/Kumbungu2SalveluguUNF:6:0Qw2T1Zs4BivAV/ktOICAQ==community25.51.00.025.5.50.050.014.57737973711325146Tindan17Issa26Laogri47Tingoli4Botingli2Basigu33Nyangua11Goli45Tiborgunayili43Tekuru21Kpallung37Sa Gie28Namiyila9Gbanjon30Nasia5Cheyohi No. 220Karemiga48Wogu16Gyilli8Fian6Disiga41Tabiase31Natodor35Pase22Kpelung23Kpirim18Jana44Tibali42Tanina10Gia32Nyagli39Shia34Papu3Bonia13Goriyiri40Siiriyin38Sabulungo7Duko49Yenduri24Kukobila14Guo19Kadia25Kukua50Zanko29Naro12Goripie36Pigu27Nabogu15Gushie1AriguUNF:6:tsR0+uD92ka4DBnlXbbr/Q==starttimeUNF:6:fVOP98862ljkhhR7PQiggg==50.0310514.098463.639533606940.0.172598.0155614.010714.0UNF:6:fdp2bKfvviFdc+vZwu6B9Q==0.025400.056173.7828201.9647067001250.0.45730.5200341.0UNF:6:tl45LtxfVdvtaXAi/gDu3A==endtimeUNF:6:SDWlhGrnzyZbUZkDupsdbQ==.0.010714.0103167.06975402884300614.050.0190614.0177416.0UNF:6:GymtyvYhC71TQCPgKyn2lg==.215112.050.00.0106625.68105209.048202.676661829672713.0UNF:6:4uzb1HW6VcopA7drh5bjNw==treat0.50507627227610541.550.01.0.1.52.00.01Control2Africa risingUNF:6:BmW+ia+0noJh/BcFBF1bXg==community id80105.088694.6463768115880330.00.0.101148.0345.09349.602464944384UNF:6:eCEWvhvcvFr1FIsdPK5/EQ==region8.814492753623188.8.00.00.8991719967524845345.08.010.09Upper East region8Northern Region10Upper West regionUNF:6:2i5oHdp138pjTA6QUDtkZg==district3.68432720266526740.0.3.011.05.2434782608695771.0345.04Kassena Nankana West1Tolon/Kumbungu10Wa East5Kassena Nankana East3West Maprusi2Salvelugu7Bongo6Talensi-Nabdam8Wa West9Wa municipal11NadowliUNF:6:lqDX+s2HL7urV0aq3HNdzA==community25.37101449275363414.447832192839975.26.0345.050.01.00.048Wogu32Nyagli37Sa Gie8Fian28Namiyila13Goriyiri33Nyangua9Gbanjon31Natodor21Kpallung12Goripie19Kadia49Yenduri20Karemiga4Botingli26Laogri17Issa14Guo18Jana40Siiriyin27Nabogu38Sabulungo5Cheyohi No. 225Kukua22Kpelung6Disiga50Zanko11Goli45Tiborgunayili29Naro24Kukobila30Nasia2Basigu16Gyilli10Gia46Tindan1Arigu42Tanina15Gushie35Pase43Tekuru36Pigu23Kpirim39Shia3Bonia41Tabiase47Tingoli34Papu44Tibali7DukoUNF:6:/AGmXOzUmsEEXeO6GyGx6g==community survey respondent id8.01.00.02.14099016684015944.0345.0.4.057971014492754UNF:6:hCOrVLnm0MyTjgkuYd3MzQ==sex345.0.1.00.39389938304546710.01.19130434782608721.02.01Male2FemaleUNF:6:omXyJjYsppL3hkH4stJqWA==how old are you? [-99 if age not known]22.0.100.053.016.827807126486068345.054.507246376811580.0UNF:6:Hv4TtlqDF9O8ue3C9SYElw==what position do you currently have in the community?1.0345.0.0.03.07.03.0173913043478271.76521265944465935Religious Leader3Village Development Committee (Vdc)6Teacher1Village Chiefs7Other4Business Man/Woman2Village Counselors / Executive OfficersUNF:6:aTwsWU2q7ZvM/FrWNcQfcQ==what position do you currently have in the community? - othersUNF:6:VfBSga7yXqQj1ct0L57nOg==for how many years have you lived in this community?2.044.0100.0345.020.020121745090297.0.044.71014492753622UNF:6:ha/DFht73iUoPuOE5SmNLA==treat1.0345.01.51594202898550770.50047163465546090.02.0.2.01Control2Africa risingUNF:6:EYaKv0hgrtro4+3Yvtvs0g==community id80105.0.101148.085416.51000.09535.1870480888870.089165.5UNF:6:QfqtWB+/jd6cNsfgjUODAg==region.8.50.91719204163645528.85999999999998910.00.01000.08.08Northern Region10Upper West region9Upper East regionUNF:6:AzOqdNuAhmzZF/Z8mY64Mw==district11.01000.0.0.03.7381778949073564.05.3999999999999591.011Nadowli6Talensi-Nabdam7Bongo8Wa West3West Maprusi9Wa municipal5Kassena Nankana East2Salvelugu4Kassena Nankana West10Wa East1Tolon/KumbunguUNF:6:x29IRRoV/pkba4/9x3dm/w==community0.01000.0.50.01.014.43809054059637425.525.511Goli46Tindan48Wogu22Kpelung14Guo4Botingli10Gia36Pigu47Tingoli3Bonia7Duko26Laogri41Tabiase16Gyilli39Shia5Cheyohi No. 223Kpirim17Issa12Goripie37Sa Gie40Siiriyin34Papu50Zanko20Karemiga32Nyagli45Tiborgunayili15Gushie24Kukobila6Disiga44Tibali31Natodor35Pase13Goriyiri8Fian2Basigu38Sabulungo43Tekuru18Jana27Nabogu49Yenduri1Arigu29Naro42Tanina21Kpallung28Namiyila33Nyangua25Kukua9Gbanjon19Kadia30NasiaUNF:6:AkwV8uF0kXEIdTo2T/jK0g==basic services100.00.0119.0109.5.5.769166602143093109.51000.0107Market (weekly)108Milling machine-the nearest104Secondary school-the nearest118Primary market for livestock116Veterinary centre/clinic113Community/Publicly owned tap water-the nearest115Slaughter slabs111Police station or post-the nearest109Bank, mobile money agent point, First National Savings and Loan, other credit institution119Milk collection center102Pre-primary school or nursery school-the nearest103Primary school-the nearest100Region Headquarters110Agricultural extension services117Dip tank101District Headquarters106Market (daily)105Health center/clinic/hospital114Bus stop the nearest112Post office-the nearestUNF:6:z0L/8zc/K/f329rfNP8F4g==can people from this community access [service]?900.01.00.49401184938129862.0100.01.0.1.42111111111111191Yes2NoUNF:6:+nW00ydUd1fUzfWG4wp/4w==which method of transport people form this community usually use go to [service]479.02.2879078694817651.01.68751855806191455.0.1.0521.02Bike1Walk3Ox-cart5Car4MotorcycleUNF:6:p67RA3WxbcW96198GO/2NA==how long, in minutes and one way, does it take to get to [service] from communit31.044381293911268479.030.0521.0270.01.033.015355086372374.UNF:6:HHooR6hPZkcjgusdh4LiRA==how satisfied are you with [service]?2.7255278310940496479.0521.01.40586031684301336.01.0.2.05Dissatisfied3Somehow satisfied6Very dissatisfied7Not applicable4Somehow dissatisfied2Satisfied1Very satisfiedUNF:6:RsqxIGyGZNYxxz4jeHlANg==treat.1000.00.50025018765638682.01.50.01.51.02Africa rising1ControlUNF:6:0vMbjVTwA8TBxFeifd9DZQ==community id9539.96299982741889165.50.0.80105.0500.085416.5101148.0UNF:6:OR2UHvsGTXmh7ZUJaYAYxA==region8.510.0500.00.91765144163602190.0.8.8599999999999928.010Upper West region9Upper East region8Northern RegionUNF:6:V5gjIR4eBOsai6HUAu4t2A==district0.011.04.03.7400502606119845.400000000000017.500.01.02Salvelugu3West Maprusi11Nadowli6Talensi-Nabdam10Wa East9Wa municipal8Wa West7Bongo5Kassena Nankana East4Kassena Nankana West1Tolon/KumbunguUNF:6:NSvWT68DXx61ZT09wbFsuw==community25.50.01.025.514.44532224179643500.050.0.26Laogri45Tiborgunayili20Karemiga47Tingoli48Wogu21Kpallung43Tekuru14Guo23Kpirim31Natodor13Goriyiri42Tanina8Fian16Gyilli3Bonia10Gia32Nyagli49Yenduri12Goripie44Tibali7Duko11Goli1Arigu40Siiriyin4Botingli34Papu39Shia33Nyangua35Pase36Pigu28Namiyila2Basigu30Nasia5Cheyohi No. 250Zanko46Tindan37Sa Gie29Naro15Gushie19Kadia24Kukobila18Jana17Issa22Kpelung6Disiga27Nabogu38Sabulungo9Gbanjon25Kukua41TabiaseUNF:6:zMRewOgIUMAJuB2xj4cB/A==activity5.510.0.0.01.0500.02.87515792020756065.510Livestock management5Application of fertilizer7Weeding6Application of herbicide/ fungicide/pesticide9Harvest4Compost Making1Clearing3Planting2Ploughing8IrrigationUNF:6:oXzFTM5DK6/nhWTzZtMsFA==are agricultural extension services provided for [activity]?2.0.0.02.01.00.462956431335208531.6899999999999997500.02No1YesUNF:6:YVRhixo+SbMxivOVrj/8vA==who usually performs [activity] in this community? family labor - men.1.136500.00.34313186817594682.01.00.01.02No1YesUNF:6:VEQoCtGr4ATczgzuIrt/6g==who usually performs [activity] in this community? family labor - women1.01.02.00.0500.01.3039999999999998.0.460443282101133441Yes2NoUNF:6:NWfZpBuwkMQ4zT7LGuy5XQ==who usually performs [activity] in this community? family labor - children.1.01.00.00.38949636048319985500.01.1862.02No1YesUNF:6:2zvnPJCmsiwL9+el+n5y9w==who usually performs [activity] in this community? hired labor - men500.02.00.0.1.01.33199999999999990.471402631390369641.02No1YesUNF:6:umSbYmB1M0BH0CTiRO0Dnw==who usually performs [activity] in this community? hired labor - women0.49118889753956491.5962.0500.02.01.00.0.1Yes2NoUNF:6:0n6hAHiIPIZQhAxr87UgJA==who usually performs [activity] in this community? hired labor - children0.483287837906703650.02.0500.01.371.01.0.2No1YesUNF:6:AgjzexnV+Qxw39dMXEejsg==who usually performs [activity] in this community? communal labor - men1.408500.02.0.0.00.49195532325625051.01.02No1YesUNF:6:woGYeGKlDBWMrYNHtshNig==who usually performs [activity] in this community? communal labor - women1.580.49405280725111270.01.0500.02.02.0.1Yes2NoUNF:6:DN1b5J4lsRA4TNmngghZ+Q==who usually performs [activity] in this community? communal labor - children0.49837813106419854500.01.0.1.00.01.4542.02No1YesUNF:6:Fjjz+iaijugVARACL5MAcw==what is your assessment of the quality of extension service provided for [activi1.00.0.5.3459999999999977.0500.07.02.1908637035505053Somehow satisfied4Somehow dissatisfied7Not applicable5Dissatisfied6Very dissatisfied1Very satisfied2SatisfiedUNF:6:0wzL4SO7//+WPclOKaWPcw==treat500.01.5.2.00.00.50050075125219141.51.02Africa rising1ControlUNF:6:cl04YOlGmOU83CxkiL9ghQ==Community ID80105.0101148.00.0.85416.59627.17625807700850.089165.5UNF:6:oOsxU0+XC5JKyq2FZxwqaw==Region0.08.510.0.8.08.8650.00.926040506893829Upper East region10Upper West region8Northern RegionUNF:6:V3ywYHljWgcirHGSLen3hQ==District50.011.00.03.7742413753208314.05.3999999999999991.0.5Kassena Nankana East2Salvelugu10Wa East9Wa municipal3West Maprusi1Tolon/Kumbungu8Wa West7Bongo6Talensi-Nabdam4Kassena Nankana West11NadowliUNF:6:0Qw2T1Zs4BivAV/ktOICAQ==Community25.514.577379737113251.25.550.00.01.050.016Gyilli31Natodor21Kpallung35Pase24Kukobila1Arigu3Bonia34Papu47Tingoli41Tabiase12Goripie8Fian11Goli20Karemiga5Cheyohi No. 215Gushie28Namiyila38Sabulungo44Tibali7Duko4Botingli2Basigu23Kpirim22Kpelung9Gbanjon37Sa Gie26Laogri39Shia36Pigu33Nyangua25Kukua50Zanko32Nyagli42Tanina18Jana45Tiborgunayili13Goriyiri40Siiriyin30Nasia6Disiga14Guo29Naro10Gia48Wogu43Tekuru27Nabogu17Issa46Tindan19Kadia49YenduriUNF:6:tsR0+uD92ka4DBnlXbbr/Q==In this community, do parents sometimes take their children out of school to wor2.050.01.01.88.2.00.32826072265931610.01Yes2NoUNF:6:2YN7uVm4gce9Q3rZyuk7Eg==Are boys or girls more often taken out of school for agricultural work?1.01.21.00.0.0.57142857142857150.03.02Girls3Equal1BoysUNF:6:MVXI1jDcMQorND8NpqouHg==What are the major agricultural problems faced by the households in this communi99.015.010.016.61329686284637620.720.050.0.301Sale produce in piecemeal100Increase household's labor share1000Took no action303Hire transport (alone or as a group)50Lack of information /limited knowledge402Diversify breeds/breeding habits41Poor forage quality45Disease202Rent/hire storage space from others42Limited access to drinking water102Adjust input use (e.g., seeds and fertilizer) to conditions200Use silo /nkhokwe/pit granary51Limited access to credit16Poor quality of seeds504Reduce household expenditures302Sale produce in neighboring countries500Join farmers' association404Purchase high yield breeds23Too far44Poor animal housing12Long distance to agricultural input markets10Shortage of agricultural inputs (e.g. labor, improved seeds, farm equipment)403Migrate for grazing and/or water108Dig bore holes/wells/dams/reservoirs/streambeds400Rent/hire grazing land101Participate in labor exchanges40Limited access to grazing land503Ask advice from family/friends /extension agents204Use pesticides203Build storage unit14Limited access to farming land/small land size19Unfavorable weather condition (e.g., excessive rain)30Long distance to output market52Lack of transportation21Poor storage condition99None107Use pesticides17Crop pests and diseases999Other interventions109Migration13Low soil fertility505Share transport506Rent/hire transport501Borrow money from family/friends /banks104Borrow/rent/hire farm equipment18Drought47Animal death502Rely on government support/charity43Low-yield animal variety201Store crops in home22Too small15Land tenure insecurity53Poor road quality103Rent/hire/share /purchase agricultural and105Use irrigation406Market in an association /delay marketing405Sell/slaughter animals46Limited access to veterinary service and medications106Build soil conservation structures20Pests/insects401Purchase/trade forage300Postpone sale of produce11High price of agricultural inputs54TheftUNF:6:WsvZTSMG50ENVnRDs/OK1g==What are the major agricultural problems faced by the households in this communi18.026.3210.050.00.020.6589803569236.99.0102Adjust input use (e.g., seeds and fertilizer) to conditions105Use irrigation46Limited access to veterinary service and medications404Purchase high yield breeds501Borrow money from family/friends /banks51Limited access to credit41Poor forage quality204Use pesticides300Postpone sale of produce19Unfavorable weather condition (e.g., excessive rain)401Purchase/trade forage14Limited access to farming land/small land size40Limited access to grazing land502Rely on government support/charity47Animal death400Rent/hire grazing land301Sale produce in piecemeal42Limited access to drinking water30Long distance to output market52Lack of transportation200Use silo /nkhokwe/pit granary402Diversify breeds/breeding habits16Poor quality of seeds403Migrate for grazing and/or water11High price of agricultural inputs1000Took no action999Other interventions505Share transport17Crop pests and diseases15Land tenure insecurity500Join farmers' association54Theft20Pests/insects405Sell/slaughter animals44Poor animal housing101Participate in labor exchanges50Lack of information /limited knowledge108Dig bore holes/wells/dams/reservoirs/streambeds302Sale produce in neighboring countries53Poor road quality23Too far203Build storage unit103Rent/hire/share /purchase agricultural and21Poor storage condition18Drought104Borrow/rent/hire farm equipment303Hire transport (alone or as a group)406Market in an association /delay marketing202Rent/hire storage space from others45Disease109Migration106Build soil conservation structures10Shortage of agricultural inputs (e.g. labor, improved seeds, farm equipment)107Use pesticides12Long distance to agricultural input markets22Too small201Store crops in home503Ask advice from family/friends /extension agents506Rent/hire transport43Low-yield animal variety100Increase household's labor share504Reduce household expenditures13Low soil fertility99NoneUNF:6:sZ5G9GW9OG4zQm5FnLbcng==What are the major agricultural problems faced by the households in this communi2.010.0.99.028.54166666666666418.048.021.35112566999423214Limited access to farming land/small land size16Poor quality of seeds402Diversify breeds/breeding habits12Long distance to agricultural input markets504Reduce household expenditures18Drought23Too far108Dig bore holes/wells/dams/reservoirs/streambeds500Join farmers' association201Store crops in home20Pests/insects15Land tenure insecurity17Crop pests and diseases403Migrate for grazing and/or water505Share transport506Rent/hire transport50Lack of information /limited knowledge42Limited access to drinking water53Poor road quality404Purchase high yield breeds502Rely on government support/charity503Ask advice from family/friends /extension agents104Borrow/rent/hire farm equipment52Lack of transportation302Sale produce in neighboring countries47Animal death100Increase household's labor share30Long distance to output market103Rent/hire/share /purchase agricultural and204Use pesticides202Rent/hire storage space from others401Purchase/trade forage107Use pesticides19Unfavorable weather condition (e.g., excessive rain)43Low-yield animal variety301Sale produce in piecemeal40Limited access to grazing land101Participate in labor exchanges22Too small406Market in an association /delay marketing99None11High price of agricultural inputs203Build storage unit46Limited access to veterinary service and medications51Limited access to credit41Poor forage quality106Build soil conservation structures300Postpone sale of produce102Adjust input use (e.g., seeds and fertilizer) to conditions303Hire transport (alone or as a group)44Poor animal housing999Other interventions109Migration501Borrow money from family/friends /banks105Use irrigation54Theft45Disease10Shortage of agricultural inputs (e.g. labor, improved seeds, farm equipment)200Use silo /nkhokwe/pit granary13Low soil fertility1000Took no action400Rent/hire grazing land405Sell/slaughter animals21Poor storage conditionUNF:6:KQDLKlG/Y5wNppA8gSyowQ==What are the major strategies used in this community to solve agricultural probl.160.6367749594960.0-99.058.5405.0101.050.040Limited access to grazing land501Borrow money from family/friends /banks203Build storage unit42Limited access to drinking water402Diversify breeds/breeding habits202Rent/hire storage space from others-99None21Poor storage condition18Drought51Limited access to credit41Poor forage quality102Adjust input use (e.g., seeds and fertilizer) to conditions10Shortage of agricultural inputs (e.g., labor, improved seeds), farm equipment)301Sale produce in piecemeal50Lack of information /limited knowledge300Postpone sale of produce302Sale produce in neighboring countries101Participate in labor exchanges20Pests/insects44Poor animal housing-98None404Purchase high yield breeds13Low soil fertility12Long distance to agricultural input markets54Theft403Migrate for grazing and/or water47Animal death406Market in an association /delay marketing204Use pesticides504Reduce household expenditures1000Took no action43Low-yield animal variety109Migration107Use pesticides17Crop pests and diseases505Share transport500Join farmers' association999Other interventions23Too far400Rent/hire grazing land16Poor quality of seeds30Long distance to output market19Unfavorable weather condition (e.g., excessive rain)506Rent/hire transport303Hire transport (alone or as a group)53Poor road quality201Store crops in home105Use irrigation46Limited access to veterinary service and medications52Lack of transportation503Ask advice from family/friends /extension agents45Disease104Borrow/rent/hire farm equipment14Limited access to farming land/small land size405Sell/slaughter animals22Too small103Rent/hire/share /purchase agricultural and11High price of agricultural inputs200Use silo /nkhokwe/pit granary108Dig bore holes/wells/dams/reservoirs/streambeds106Build soil conservation structures100Increase household's labor share401Purchase/trade forage15Land tenure insecurity502Rely on government support/charityUNF:6:8mAkoJIBzUPDTmDHWlZvSg==What are the major strategies used in this community to solve agricultural probl503.039.011.0199.0684818318545153.71794871794873.102.0-99.0401Purchase/trade forage400Rent/hire grazing land21Poor storage condition44Poor animal housing505Share transport500Join farmers' association108Dig bore holes/wells/dams/reservoirs/streambeds405Sell/slaughter animals30Long distance to output market23Too far302Sale produce in neighboring countries200Use silo /nkhokwe/pit granary402Diversify breeds/breeding habits404Purchase high yield breeds501Borrow money from family/friends /banks100Increase household's labor share106Build soil conservation structures506Rent/hire transport19Unfavorable weather condition (e.g., excessive rain)104Borrow/rent/hire farm equipment12Long distance to agricultural input markets40Limited access to grazing land109Migration203Build storage unit502Rely on government support/charity10Shortage of agricultural inputs (e.g., labor, improved seeds), farm equipment)16Poor quality of seeds-98None47Animal death403Migrate for grazing and/or water1000Took no action51Limited access to credit105Use irrigation-99None54Theft201Store crops in home300Postpone sale of produce43Low-yield animal variety301Sale produce in piecemeal50Lack of information /limited knowledge102Adjust input use (e.g., seeds and fertilizer) to conditions202Rent/hire storage space from others20Pests/insects406Market in an association /delay marketing18Drought22Too small14Limited access to farming land/small land size101Participate in labor exchanges17Crop pests and diseases999Other interventions107Use pesticides45Disease15Land tenure insecurity46Limited access to veterinary service and medications41Poor forage quality11High price of agricultural inputs103Rent/hire/share /purchase agricultural and52Lack of transportation303Hire transport (alone or as a group)13Low soil fertility503Ask advice from family/friends /extension agents504Reduce household expenditures42Limited access to drinking water204Use pesticides53Poor road qualityUNF:6:mbCzdsgHWu5a0bp0TqfRxg==What are the major strategies used in this community to solve agricultural probl8.0107.0.-99.0220.0269.705892209797542.0999.0102Adjust input use (e.g., seeds and fertilizer) to conditions45Disease23Too far302Sale produce in neighboring countries46Limited access to veterinary service and medications50Lack of information /limited knowledge301Sale produce in piecemeal200Use silo /nkhokwe/pit granary20Pests/insects44Poor animal housing505Share transport17Crop pests and diseases406Market in an association /delay marketing202Rent/hire storage space from others101Participate in labor exchanges500Join farmers' association18Drought30Long distance to output market107Use pesticides106Build soil conservation structures502Rely on government support/charity53Poor road quality501Borrow money from family/friends /banks14Limited access to farming land/small land size108Dig bore holes/wells/dams/reservoirs/streambeds41Poor forage quality403Migrate for grazing and/or water303Hire transport (alone or as a group)22Too small204Use pesticides52Lack of transportation503Ask advice from family/friends /extension agents42Limited access to drinking water54Theft-98None51Limited access to credit402Diversify breeds/breeding habits401Purchase/trade forage404Purchase high yield breeds15Land tenure insecurity16Poor quality of seeds100Increase household's labor share201Store crops in home103Rent/hire/share /purchase agricultural and203Build storage unit300Postpone sale of produce13Low soil fertility40Limited access to grazing land11High price of agricultural inputs400Rent/hire grazing land105Use irrigation504Reduce household expenditures405Sell/slaughter animals12Long distance to agricultural input markets47Animal death109Migration21Poor storage condition999Other interventions-99None19Unfavorable weather condition (e.g., excessive rain)10Shortage of agricultural inputs (e.g., labor, improved seeds), farm equipment)104Borrow/rent/hire farm equipment506Rent/hire transport43Low-yield animal variety1000Took no actionUNF:6:qwtamzaR4xnueyf+A9rWqQ==Treat0.01.00.50507627227610541.51.550.02.0.2Africa rising1ControlUNF:6:BmW+ia+0noJh/BcFBF1bXg==community id.101148.080105.089165.50.09546.342113211474300.085416.5UNF:6:z00hFl1ma4GR389TvrpO7Q==region300.0.10.00.91826505015770610.08.08.58.8610Upper West region9Upper East region8Northern RegionUNF:6:K66+ELSggyqy7AauiaIzew==district4.0.300.011.05.4000000000000130.01.03.7425511303401952Salvelugu4Kassena Nankana West1Tolon/Kumbungu11Nadowli10Wa East7Bongo9Wa municipal5Kassena Nankana East8Wa West3West Maprusi6Talensi-NabdamUNF:6:1v4B1kmaLKCE22VZwt6pQw==community300.01.025.5.0.050.014.45498143528086225.55Cheyohi No. 249Yenduri2Basigu27Nabogu47Tingoli39Shia24Kukobila11Goli41Tabiase14Guo30Nasia19Kadia22Kpelung31Natodor6Disiga12Goripie35Pase28Namiyila23Kpirim10Gia20Karemiga15Gushie34Papu40Siiriyin38Sabulungo33Nyangua42Tanina44Tibali21Kpallung26Laogri7Duko13Goriyiri18Jana17Issa36Pigu45Tiborgunayili9Gbanjon25Kukua1Arigu48Wogu32Nyagli4Botingli37Sa Gie16Gyilli3Bonia50Zanko29Naro46Tindan43Tekuru8FianUNF:6:9zcm2X90sSmPz29PCxYBQQ==land use id1.71067863863505193.5300.0.6.01.00.03.56Other3Wetland4Residential1Cultivable land2Forest5BusinessUNF:6:yZsZ8Ul/U2Ta/mwe1iL/Cg==what proportion of the total land in the community is allocated for [land use]?10.016.40.095.0300.019.92041019846021.0.0UNF:6:7Zl4GwL85tgaTpj2OSowIA==treat0.50083542247063341.50.01.5300.02.0.1.01Control2Africa risingUNF:6:VCjaBtKbCqHG2NV8yDyMtg==community id101148.085416.5.250.089165.59549.5364723817570.080105.0UNF:6:c0pO57ruEMAN+hW7J6nlAg==region10.0.8.58.868.00.00.9185723163701396250.08Northern Region10Upper West region9Upper East regionUNF:6:kbVF/0Sinm37ezTpawlFFA==district4.0.0.0250.03.7438034479694685.4000000000000111.011.06Talensi-Nabdam7Bongo9Wa municipal1Tolon/Kumbungu8Wa West2Salvelugu11Nadowli3West Maprusi5Kassena Nankana East10Wa East4Kassena Nankana WestUNF:6:A0Nr3YGjk+wf35u66QQ/Eg==community14.459818303890480.0.25.51.050.025.5250.025Kukua49Yenduri20Karemiga13Goriyiri39Shia22Kpelung36Pigu42Tanina6Disiga34Papu12Goripie41Tabiase2Basigu29Naro16Gyilli30Nasia48Wogu26Laogri8Fian46Tindan15Gushie1Arigu45Tiborgunayili28Namiyila11Goli14Guo35Pase3Bonia5Cheyohi No. 227Nabogu18Jana38Sabulungo7Duko23Kpirim40Siiriyin44Tibali19Kadia10Gia32Nyagli17Issa43Tekuru24Kukobila9Gbanjon31Natodor33Nyangua47Tingoli4Botingli50Zanko37Sa Gie21KpallungUNF:6:1bGzAdyqPY3WwqVs4cd1nA==cultivable land use id5.0.3.01.0250.01.41705050316283933.00.05Other3Agro-business/plantation farming by outsiders1Communal cultivation4Grazing land for livestock2Individual (household) cultivationUNF:6:kvs7IYSKPJINwblBRVHnKQ==what proportion of the total land in the community is allocated for [cultivable 8.0250.018.036.0.026.5313844615350720.0100.0UNF:6:JoHJoX3B/G7xTNsyxSopcw==treat250.01.51.02.01.5.0.00.50100301003512652Africa rising1ControlUNF:6:aivEZQuHbWrEClPH/V9ZaQ==community id80105.0.89165.585416.5101148.09627.1762580770080.050.0UNF:6:oOsxU0+XC5JKyq2FZxwqaw==region0.08.08.86.0.9260405068938210.08.550.09Upper East region8Northern Region10Upper West regionUNF:6:V3ywYHljWgcirHGSLen3hQ==district11.04.03.7742413753208315.3999999999999991.050.00.0.5Kassena Nankana East4Kassena Nankana West6Talensi-Nabdam11Nadowli10Wa East1Tolon/Kumbungu9Wa municipal8Wa West3West Maprusi2Salvelugu7BongoUNF:6:0Qw2T1Zs4BivAV/ktOICAQ==community1.0.25.550.00.050.014.57737973711325125.543Tekuru46Tindan50Zanko47Tingoli19Kadia18Jana4Botingli40Siiriyin2Basigu3Bonia30Nasia41Tabiase21Kpallung28Namiyila22Kpelung36Pigu17Issa8Fian26Laogri32Nyagli13Goriyiri49Yenduri33Nyangua11Goli48Wogu14Guo6Disiga5Cheyohi No. 239Shia31Natodor16Gyilli29Naro9Gbanjon10Gia7Duko38Sabulungo15Gushie24Kukobila37Sa Gie1Arigu42Tanina35Pase25Kukua23Kpirim45Tiborgunayili34Papu44Tibali20Karemiga12Goripie27NaboguUNF:6:tsR0+uD92ka4DBnlXbbr/Q==does the village have a certificate of village lands?.2.00.19794866372215751.01.9650.00.02.01Yes2NoUNF:6:WOmsxzXuaf3qxI0JPTJ1Yg==when was the certificate issued?1482.8029201481902949.5949.51998.02.0-99.048.0.-99Not KnownUNF:6:v6bGHo3RWFldbsxaV+eO8Q==how do the majority of the households obtain land in this community?.1.31999999999999981.00.01.00.51269595556932453.050.02Allocation by chief1Family inheritance4Other3SaleUNF:6:emdXL+YCx/k2dBRzD91mhg==do both men and women own land in this community?1.44000000000000020.83690391519296063.0.1.00.01.050.03Men and women2Only women1Only menUNF:6:1iEc0KWw7ozrulxA2UXegg==when a woman dies, does her husband inherit her land?1.00.5045249791095132.011.039.01.3636363636363635.1.02No1YesUNF:6:jl5eLzoqPYU0hRiiQYPu/Q==when a man dies, does his wife inherit his land?1.01.47999999999999980.50467204950444841.00.050.0.2.02No1YesUNF:6:BovORh7FefqpUa2d0nsqHA==can a widow be inherited by her husband's brother or other male relative?0.4903143514780150.02.01.01.0.1.380000000000000150.02No1YesUNF:6:uaAW3ex2IYZeHCKR6g9uiA==who settles land disputes? - first responsible.2.00.670363897522860950.03.01.85999999999999991.00.06Formal Court3Community leaders2Clan members5Regional leaders1Family members7Other4District leadersUNF:6:thkPGgR8DMVKWU6ycSitog==who settles land disputes? - second responsible3.12244897959183641.01.03.01.268737119166543349.0.7.07Other4District leaders5Regional leaders3Community leaders6Formal Court2Clan members1Family membersUNF:6:JbzwDp+qadr4jeh3poraBA==treat50.00.01.52.00.50507627227610541.5.1.01Control2Africa risingUNF:6:BmW+ia+0noJh/BcFBF1bXg==community id9562.346050872886101148.085416.5.150.089165.580105.00.0UNF:6:cTI/+1IY0x3/KjYLfJVv3Q==region0.91980447294866638.50.08.010.0150.08.86.8Northern Region9Upper East region10Upper West regionUNF:6:/9ymhBuYW4YUMnhEzYbVPA==district5.3999999999999964.03.748825319372428611.01.0.0.0150.05Kassena Nankana East4Kassena Nankana West2Salvelugu3West Maprusi6Talensi-Nabdam7Bongo10Wa East9Wa municipal11Nadowli1Tolon/Kumbungu8Wa WestUNF:6:5DAGwZq4o+XIQF8FvxZUGQ==community50.025.5.150.01.025.514.4792144471553230.030Nasia41Tabiase14Guo13Goriyiri39Shia47Tingoli25Kukua33Nyangua49Yenduri50Zanko44Tibali48Wogu5Cheyohi No. 222Kpelung8Fian24Kukobila6Disiga18Jana9Gbanjon31Natodor32Nyagli26Laogri2Basigu35Pase36Pigu38Sabulungo42Tanina40Siiriyin21Kpallung37Sa Gie10Gia16Gyilli27Nabogu15Gushie11Goli3Bonia34Papu23Kpirim19Kadia4Botingli1Arigu29Naro28Namiyila17Issa7Duko46Tindan45Tiborgunayili20Karemiga12Goripie43TekuruUNF:6:kirioa4Xsv0fXPqa3OMNpw==major land-related events1.00.00.8192319205190405150.03.02.0.2.03Allocation of land cultivated or inhabited by villagers for public use, including pasture or services2District or Central Government declaring land in the village as 'Reserve Land' – e.g., putting it in a game or forest reserve1Appropriation of land for outside investorsUNF:6:7sF6kLrPALuVhzci5MwzQw==in the period may 2013-may 2014, has any land been re-allocated as a result of [2.01.840.367834220026928672.01.0150.00.0.2No1YesUNF:6:duAtCUDZexLFcL4e7xGh5w==when did [event] occur? - month1.0126.012.0.5.024.05.5833333333333333.399701606684439UNF:6:f91B5Vr+xML4ixA52ULA+w==when did [event] occur? - year2014.0126.02013.29166666666670.46430562148753652013.0.2013.024.0UNF:6:B9nIDyCfnyJlNlcOKJ0eJA==how many households were affected by [event]?0.02.1666666666666672.40771706171538410.0126.0.1.524.0UNF:6:0UNYBYoHMooz2F3hCgGBiw==what was the average estimated value of compensation given to each household aff24.0187.50.0.586.30196997792872500.00.0126.0UNF:6:o5BVZDKXMXekqK/+GCl08w==treat1.00.5016750465679883.150.02.00.01.51.52Africa rising1ControlUNF:6:qeE0MazDulAQtv9f6k0WVA==community id0.089163.66.101148.085416.550.080105.09621.050769144136UNF:6:mNNeGIaz9GJBoXNWFR9IQg==region50.0.8.010.08.50.00.926040506893828.868Northern Region9Upper East region10Upper West regionUNF:6:V3ywYHljWgcirHGSLen3hQ==district0.0.11.04.01.03.71368126949911650.05.3800000000000011Tolon/Kumbungu6Talensi-Nabdam2Salvelugu4Kassena Nankana West7Bongo9Wa municipal10Wa East11Nadowli8Wa West3West Maprusi5Kassena Nankana EastUNF:6:h6AK15htQfzhN+wD0rG2LA==community14.97291432104338950.0.25.525.6600000000000040.050.01.010Gia39Shia24Kukobila42Tanina19Kadia32Nyagli37Sa Gie6Disiga18Jana1Arigu50Zanko48Wogu35Pase29Naro49Yenduri27Nabogu25Kukua43Tekuru47Tingoli15Gushie46Tindan40Siiriyin3Bonia22Kpelung16Gyilli9Gbanjon23Kpirim21Kpallung33Nyangua36Pigu5Cheyohi No. 230Nasia2Basigu11Goli7Duko14Guo41Tabiase8Fian4Botingli34Papu13Goriyiri20Karemiga38Sabulungo12Goripie31Natodor44Tibali45Tiborgunayili17Issa28Namiyila26LaogriUNF:6:09YL6fOMp7LuNCxmKXG7XQ==what is the total population of this community?1500.01648.5250.0-99.01211.4840998055376000.00.0.UNF:6:xMBE2PxaXbazfxpWOH9nZA==are there any farmers cooperative groups in this community?0.050.02.01.01.01.12.0.328260722659316051Yes2NoUNF:6:toxQeKx3LYo+zzv9iJaTMg==how many different groups are there in the community?3.5707142142714254.256.044.03.0.21.01.0UNF:6:yuO0VB5x7b/jHS18+z0v2Q==how many farmers participate in these cooperatives in total?76.0500.06.0.-99.044.0144.71903229592186118.27272727272728UNF:6:vDV3m5VvLjorDs0s5+I4wA==which are the three main activities that the cooperative members do as a group -2.43181818181818176.044.01.08.02.073057816453609.1.04Physical activities on farms5Irrigation3Sharing equipment2Buying inputs6Group credit7Storing crops8Selling output1Sharing knowledgeUNF:6:FIZuQaySeEQXHCx3G40+Dg==which are the three main activities that the cooperative members do as a group -6.0.3.70454545454545444.04.06.01.60782310513959171.06Group credit2Buying inputs3Sharing equipment4Physical activities on farms7Storing crops5Irrigation8Selling output1Sharing knowledgeUNF:6:miyIiBWGwOdEvmOxp3B6Bg==which are the three main activities that the cooperative members do as a group -4.0.2.08595769664562541.04.73170731707317058.01.09.05Irrigation8Selling output2Buying inputs3Sharing equipment7Storing crops6Group credit4Physical activities on farms1Sharing knowledgeUNF:6:ZDOxxcEa8C75AOLIV+pkAw==what percentage of cultivated land is devoted to maize?40.00.02.060.013.40851085189202337.74.50.0UNF:6:GxAg4Ea7hlR1WXkEO70dpA==what percentage of cultivated land is devoted to beans?0.0.10.08.7237887294408020.030.011.24000000000000250.0UNF:6:5UeduOS2BWK10m5FNly1dA==what percentage of cultivated land is devoted to groundnut?2.71571390997216830.0.15.050.00.00.00.82UNF:6:eZdltAoW45gsju0Q8B6RTg==what percentage of cultivated land is devoted to millet?50.018.04.0.0.017.3410.01551857094269250.0UNF:6:AogoD3L9plrW8JfBDtJqQw==what percentage of cultivated land is devoted to soybeans?0.05.56.59254371643155928.0.6.73999999999999950.00.0UNF:6:08IoxZdp9mLdQBf/pz7zEw==what percentage of cultivated land is devoted to rice?17.3399999999999960.0.11.95162016171012515.050.00.054.0UNF:6:qNTGYlrR/e+7T5TCdO71Pg==was it possible to buy improved maize seeds in this community during the last ag0.49031435147801460.01.622.01.0.2.050.02No1YesUNF:6:OX7mwLyXDviQnHFjJ0QI2Q==during the last agricultural season, what was the price of improved maize seed p19.04.10526315789473715.0.2.51.531.03.6726426580280376UNF:6:XgaLEZl664OZiQM2uUfR+A==how far does one have to travel from the center of the community to get to a sup31.2782861230550685.031.048.25806451612903.19.045.0120.0UNF:6:849LpcsftDomGsN9nKN8RQ==during the last agricultural season, what was the price of improved maize seed p31.07.693548387096776-99.0.2.019.0235.046.18796333450142UNF:6:W3JF/pOOpHqCEClB3WHKmQ==during the last agricultural season, how much a unit of manure did cost?50.08.160.0.0.020.05.523086980658403510.0UNF:6:a1D3xbvwF4Udl6TJAjjz/w==during the last agricultural season, how much a unit of manure did cost?0.0.3.0841265756602581.050.020.08.288.06Bucket4Unit or Piece19Heap16Sachet/tube3Liter8100 kg maxibag18Cup17Plate950kg minibag7120 kg maxibag15Bale12Lorry5Cane/Basket21Other14Bunch13Headload1Kilogram10Ox-cart2Gram11Trailer20BowlUNF:6:y56bbv2Hyp5AAU8ZISR1gg==are there any savings associations in this community?1.0.50.01.01.382.00.00.490314351478014441Yes2NoUNF:6:ANGnkp6dCzBD9+lcRahVbQ==how many people belong to savings associations in this community?.19.0156.38709677419354100.0180.76774738493495-99.0800.031.0UNF:6:ShFlxQN9mn+p8GndQ9mzCg==approximately what percent of the savings association membership is female?100.031.019.024.85346301133735.80.074.1935483870967720.0UNF:6:QIHXh0oknku8XVUNyFz8KQ==would you say that the rains that this community had for the last rain season (24.01.0654116766848045.5.050.00.01.03.743Neither too much nor too little2A bit too much4A bit too little1Far too much6None5Far too littleUNF:6:PsGxvTUJY+LnyBqFwt70tQ==would you say that the rains that this community had for the last rain season (20.01.62179039386495781.03.02.6850.0.5.06None1Far too early5Far too late4A bit too late2A bit too early3Neither too early nor too lateUNF:6:TWCKh/O6MNBgTIfIncBjSw==during the last 12 months, what percentage of the individuals in this community 0.00.00.050.0.14.02.3473823893078550.7999999999999997UNF:6:AtMakEZrzJK15Hch5gwXNw==during the last 12 months, what percentage of the individuals in this community 0.00.70.050.01.5681784571500110.00.0.UNF:6:4jo9hIGfsK8If5AeutKHgQ==do any residents of this community migrate for all or part of the year?1.0.0.01.161.00.370328039909020550.02.02No1YesUNF:6:EBcr5Eb5V8A4fKiBDt0/EQ==during the last 12 months,where did residents of this community migrate to - fir.4.04.03.59523809523809538.02.042.00.62701475493292854To a different region5To another country3Other communities outside the district2Other villages outside the ward but within the district1Other villages within the wardUNF:6:bz0sS5xDR7LpWTL0TS+R+g==during the last 12 months,where did residents of this community migrate to - sec2.00.62424557642208374.0.14.03.036.03.19444444444444462Other villages outside the ward but within the district5To another country4To a different region1Other villages within the ward3Other communities outside the districtUNF:6:AMCzHfCRJC9fkCBhh+XdxA==during the last 12 months,where did residents of this community migrate to - thi4.01.0.2.023.00.697982440452112927.02.22222222222222234To a different region2Other villages outside the ward but within the district5To another country3Other communities outside the district1Other villages within the wardUNF:6:FQiIyqSq2JYuvfC5ZaxPxQ==during the last 12 months, which three months did the most people travel outside.8.04.8088309202941198.51.06.26190476190476112.042.01January3March10October9September8August2February4April11November12December7JulyUNF:6:VHfZshMdWZiU0G48b8GMfQ==during the last 12 months, which three months did the most people travel outside9.01.0.12.04.5005419727828882.041.05.5365853658536596June8August9September11November12December4April7July10October2February1January3MarchUNF:6:G7IrZnsO+7kl0OmOjQyGtA==during the last 12 months, which three months did the most people travel outside14.0.36.01.03.04.6388888888888893.9939438280460712.01January11November5May2February3March8August12December9September10October7July4AprilUNF:6:pmG0lYC7lRbnvTELDq5a2g==for which three main reasons do people migrate out of this community - first?99.01.042.03.08.020.908961451720817.6.71428571428571699Other3Temporary employment in cities1Crop employment2Livestock rearing4MarriageUNF:6:bnnBL2EGXicSmcGOHf/Hmw==for which three main reasons do people migrate out of this community - second?3.07.459459459459462.1.099.037.022.21060131583138313.01Crop employment99Other2Livestock rearing4Marriage3Temporary employment in citiesUNF:6:mdJGj81P48kQU3uyvFp/UA==for which three main reasons do people migrate out of this community - third?4.023.027.099.032.6521739130434841.044.87620213193805.3Temporary employment in cities2Livestock rearing99Other4Marriage1Crop employmentUNF:6:R1Sdrtu9E0Xn9B2nct7hrA==treat2.00.0.0.50345743390588862.050.01.01.541Control2Africa risingUNF:6:3B7DQ9vA1qN/1H7XrDtzrg==community id85416.5.9549.5364723817570.0250.080105.089165.5101148.0UNF:6:c0pO57ruEMAN+hW7J6nlAg==region0.08.50.918572316370139610.0250.0.8.08.8610Upper West region9Upper East region8Northern RegionUNF:6:kbVF/0Sinm37ezTpawlFFA==district1.04.03.74380344796946811.0.250.05.4000000000000110.09Wa municipal7Bongo1Tolon/Kumbungu3West Maprusi2Salvelugu11Nadowli6Talensi-Nabdam5Kassena Nankana East8Wa West10Wa East4Kassena Nankana WestUNF:6:A0Nr3YGjk+wf35u66QQ/Eg==community14.459818303890481.050.00.025.5250.0.25.513Goriyiri17Issa22Kpelung38Sabulungo28Namiyila23Kpirim18Jana44Tibali30Nasia4Botingli2Basigu20Karemiga1Arigu46Tindan31Natodor36Pigu27Nabogu33Nyangua42Tanina24Kukobila40Siiriyin34Papu25Kukua9Gbanjon26Laogri11Goli43Tekuru45Tiborgunayili37Sa Gie5Cheyohi No. 210Gia39Shia32Nyagli35Pase3Bonia6Disiga12Goripie48Wogu15Gushie29Naro49Yenduri14Guo16Gyilli50Zanko8Fian19Kadia21Kpallung7Duko47Tingoli41TabiaseUNF:6:1bGzAdyqPY3WwqVs4cd1nA==water source104.0102.00.0.1.4170505031628393100.0102.0250.0102Borehole or well103Lake, pond, river, reservoir, tank, or streambed100Rain104Other101Piped waterUNF:6:acMeCblcvZaCvI+lB2WPdQ==is [water source] available in the community?200.02.02.050.0.0.50035163514669381.52999999999999981.01Yes2NoUNF:6:m/l13mltcUgmVqHwgyh63A==is [water source] available for private use within the community?0.462124790542444660.01.7.2.0190.01.02.01Yes2NoUNF:6:tYpJspNtNGDbnT8SfEBXmA==what percentage of the community's population relies on [water source]28.103908973884806.129.0121.00.0100.088.14728682170544100.0UNF:6:SWMolnVJjnR1jIX9vH3+eg==treat250.00.50100301003512652.01.51.0.1.50.02Africa rising1ControlUNF:6:aivEZQuHbWrEClPH/V9ZaQ==community id101148.09537.7578228515180105.00.0650.085416.589165.5.UNF:6:trzqaPSyaPRzDbUbJtajoA==region650.010.0.8.58.8599999999999928.00.91743932510778810.09Upper East region10Upper West region8Northern RegionUNF:6:TKb7vAmsLSe4PpUk5cmOdQ==district11.05.399999999999996650.01.0.4.00.03.7391857422984828Wa West6Talensi-Nabdam5Kassena Nankana East4Kassena Nankana West1Tolon/Kumbungu9Wa municipal10Wa East11Nadowli2Salvelugu3West Maprusi7BongoUNF:6:etw53bIEIaTwApbAgZqgdQ==community50.0.25.514.4419831835613251.025.5650.00.01Arigu9Gbanjon40Siiriyin47Tingoli27Nabogu2Basigu32Nyagli43Tekuru41Tabiase28Namiyila42Tanina11Goli48Wogu49Yenduri38Sabulungo21Kpallung26Laogri16Gyilli30Nasia15Gushie35Pase19Kadia37Sa Gie7Duko24Kukobila29Naro34Papu44Tibali10Gia45Tiborgunayili14Guo18Jana13Goriyiri31Natodor20Karemiga36Pigu6Disiga50Zanko25Kukua23Kpirim39Shia22Kpelung5Cheyohi No. 217Issa4Botingli46Tindan3Bonia12Goripie33Nyangua8FianUNF:6:RtIt6ZJYDbFK8QdbjprLrg==shock type113.0107.0650.0101.00.0.3.7445389100248767107.0109Loss of land111Theft, vandalism, robberies102Flood110Political, tribal, and farmers' livestock conflict104Crop disease or pest106Large fall in crop sale prices107Large rise in price of food113Other101Drought105Outbreak of livestock disease or pest103Strong winds/storm108Large rise in crop input prices112FireUNF:6:dlUgzzFQ6hFV1A4Ur9xQ2Q==did [shock] occur during the last agricultural season (rainy season of 2013)?1.00.4997000404023371.1.5261538461538460.02.0650.02.01Yes2NoUNF:6:fbuEZX9MInv3yot3YPQ/0A==what percentage of households in this community was affected by [shock]?100.0100.01.0308.029.233031088197077342.0.84.88636363636365UNF:6:UlvjveIw+30S/PxOZ9o5vg==which crops were affected by [shock] - first?236.00.011.0414.019.38559322033899.23.04795288061430799.016Rice15Finger Millet21Soybeans27Groundnut99Other13Pearl Millet0None11MaizeUNF:6:nUkz3CMd5MMMuDi2nMUTug==which crops were affected by [shock] - second?.16.0462.099.0188.024.75922741847507424.223404255319150.00None15Finger Millet27Groundnut21Soybeans11Maize16Rice99Other13Pearl MilletUNF:6:h1iQDoxr8e9qbkKY+677ww==which crops were affected by [shock] - third?518.0132.032.0384989900294799.00.031.51515151515152.21.013Pearl Millet0None11Maize21Soybeans15Finger Millet16Rice27Groundnut99OtherUNF:6:CiVGKbHDu4B3CTJtpIpw3w==which animals were affected by [shock]? - first?478.01.05.0.0.01.6903659785096452172.01.72093023255813974Sheep5Pigs2Poultry3Goats1Cattle99Other0NoneUNF:6:pjr6Xp7aM6jG2Cv/4DU3Bw==which animals were affected by [shock]? - second?.3.1171171171171173111.05.00.91192841364518940.0539.03.04Sheep99Other0None1Cattle3Goats5Pigs2PoultryUNF:6:BjGnURx6U9Ckw1wb1Z5X/A==which animals were affected by [shock]? - third?1.23578802059452293.00.05.0.2.9259259259259256108.0542.03Goats99Other5Pigs4Sheep2Poultry1Cattle0NoneUNF:6:obfEdMi0kT8pcquxJerfWg==treat2.01.0.1.51.50.5003850597413223650.00.02Africa rising1ControlUNF:6:xvswRj6+CBfVCfESpNQxcQ==community id90503.0.0.080105.0201.089224.930348258719567.59099643815101148.0UNF:6:RXjMxBv0aBkFx32wiPIpNg==region0.920253047613420510.0.8.08.8656716417910469.0201.00.08Northern Region10Upper West region9Upper East regionUNF:6:x2mHgoiKXRxyzN2TDWfLrA==district201.01.05.0.3.7571292099816750.011.05.4278606965174118Wa West4Kassena Nankana West5Kassena Nankana East1Tolon/Kumbungu6Talensi-Nabdam2Salvelugu9Wa municipal11Nadowli3West Maprusi7Bongo10Wa EastUNF:6:42CE0jNQbVor2/oCKw2QRg==community25.42786069651740350.01.0.0.0201.014.46706673450073725.044Tibali11Goli34Papu12Goripie42Tanina40Siiriyin32Nyagli14Guo19Kadia26Laogri2Basigu10Gia25Kukua36Pigu17Issa28Namiyila16Gyilli39Shia38Sabulungo1Arigu18Jana46Tindan45Tiborgunayili7Duko8Fian29Naro48Wogu13Goriyiri15Gushie24Kukobila41Tabiase35Pase22Kpelung49Yenduri23Kpirim21Kpallung43Tekuru4Botingli47Tingoli37Sa Gie6Disiga27Nabogu31Natodor50Zanko20Karemiga30Nasia5Cheyohi No. 23Bonia33Nyangua9GbanjonUNF:6:HC5Vy1QxeP3f/wtKjWl05w==four most common crops21.3631840796019957.011.012.14135238805568201.016.0.0.016Rice27Groundnut29Other pulses, nuts57Yam13Pearl millet22Soybean21Bean32Tomatoes14Sorghum11Maize15Finger millet25CowpeaUNF:6:NlXHnniFZPhcK1a677HKKg==which month is [crop] planted? - first?5.0.1.0201.05.43283582089552210.01.2152022127656160.011NOV9Sep3Mar4Apr8Aug10Oct5May12DEC1Jan2Feb7July6JuneUNF:6:JKpqgRUfqa+kd9v2ojFdQw==which month is [crop] planted? - second?2.0166.01.23417326322748166.035.0.12.06.3855421686746987July11Nov12Dec4APR9Sep2Feb1JAN10Oct6June3Mar8Aug5MayUNF:6:69M92BG7Ctm96CMMT8629Q==which month is [crop] planted? - third?11.0.176.07.025.03.01.3576941236277536.526June9SEP1JAN4Apr8AUG5MAY12DEC10OCT2FEB7July3Mar11NovUNF:6:17Lxu2caBf4IjP6iupQthw==which month is [crop] planted? - fourth?198.04.08.03.0.6.3333333333333337.02.08166599946613269SEP3MAR10OCT5MAY11NOV8Aug7July6JUNE2FEB12DEC4Apr1JANUNF:6:RyCF1qfRmGHZui5mMlpVsw==which month is [crop] harvested? - first?9.05472636815920512.01.00.01.7527093454852243.9.0201.06June1Jan4APR2Feb5May11Nov7July12Dec10Oct3MAR8Aug9SepUNF:6:xIeZLtQStoIqUvJOYg7F9A==which month is [crop] harvested? - second?26.010.01.69141559041750232.0175.010.03428571428571412.0.11Nov2Feb10Oct7July1JAN6JUNE3Mar4APR5MAY8Aug9Sep12DecUNF:6:AeCA4J9EmV75YMH7yZsW4A==which month is [crop] harvested? - third?1.658178026389635512.010.034.03.0.10.088235294117647167.04APR2FEB5MAY1JAN12Dec11Nov10Oct8Aug6JUNE3Mar9Sep7JULYUNF:6:FTyD5Xb/zNu2777+p88Mvg==which month is [crop] harvested? - fourth?1.159501808728405712.09.011.312.0.10.0191.03MAR9Sep2FEB5MAY1JAN11NOV7JULY6JUNE8AUG4APR10Oct12DecUNF:6:LqnBkJpOmZCSCPK6A55m+w==which month is [crop] harvested? - fifth?199.010.5.0.707106781186547611.010.02.010.510Oct7JULY1JAN12DEC9SEP5MAY6JUNE11Nov4APR2FEB8AUG3MARUNF:6:V1DhNmagyGUywmHkpBEuDQ==which month is [crop] harvested? - sixth?0.7071067811865476.2.011.011.511.512.0199.012Dec7JULY11Nov8AUG9SEP4APR10OCT3MAR6JUNE1JAN5MAY2FEBUNF:6:O13RU63AYvjHjLx0pZ814Q==which month is [crop] harvested? - seventh?.12.012.0200.01.012.00.012.02FEB1JAN8AUG4APR3MAR9SEP11NOV10OCT12Dec7JULY5MAY6JUNEUNF:6:XtiPNtiqXUfw5s4MASAmcA==what percentage of households in this community consume [crop]?100.023.4136180979748260.0.90.3830845771144201.02.0100.0UNF:6:x/D37KS3Lc6kTua8rRHU3Q==compared to the usual harvest in this community, how was [crop] harvest during t0.0.5.0201.04.4228855721393042.05.00.85748098045425812Little higher6Don’t know/not sure3Roughly the same4Little lower1Much higher5Much lowerUNF:6:J3Rw2XJtOGmqeA2w/pLCSQ==treat2.00.5012422379394295201.00.02.0.1.01.50248756218905481Control2Africa risingUNF:6:e1F0BVi+xmGmWHm81iT5YA==community id0.080105.050.09627.17625807700885416.589165.5101148.0.UNF:6:oOsxU0+XC5JKyq2FZxwqaw==region50.08.868.00.08.50.9260405068938210.0.9Upper East region10Upper West region8Northern RegionUNF:6:V3ywYHljWgcirHGSLen3hQ==district5.3999999999999990.050.04.011.01.03.774241375320831.4Kassena Nankana West8Wa West10Wa East5Kassena Nankana East1Tolon/Kumbungu6Talensi-Nabdam3West Maprusi9Wa municipal11Nadowli7Bongo2SalveluguUNF:6:0Qw2T1Zs4BivAV/ktOICAQ==community50.01.025.525.5.50.014.5773797371132510.028Namiyila39Shia1Arigu17Issa35Pase9Gbanjon2Basigu16Gyilli6Disiga7Duko37Sa Gie41Tabiase10Gia23Kpirim12Goripie27Nabogu11Goli22Kpelung29Naro42Tanina3Bonia50Zanko32Nyagli24Kukobila13Goriyiri43Tekuru33Nyangua20Karemiga14Guo46Tindan40Siiriyin44Tibali45Tiborgunayili31Natodor8Fian34Papu38Sabulungo21Kpallung15Gushie18Jana48Wogu25Kukua19Kadia47Tingoli36Pigu4Botingli49Yenduri30Nasia5Cheyohi No. 226LaogriUNF:6:tsR0+uD92ka4DBnlXbbr/Q==sourcelocation id100.0100.00.050.0.100.00.0100.0UNF:6:Xa51w8cci5M6TKA5oy+W3Q==source of prices - first1.11.00.0.1.050.00.30304576336566332.03ESOKO4OTHER1Marketplace2Shops/Kiosks Not In The MarketUNF:6:Khle07OBe9vs33ShY7lG1g==source of prices - second1.9574468085106385.1.02.00.41480465850548723.047.04.01Marketplace2Shops/Kiosks Not In The Market4Other3ESOKOUNF:6:d5gkjP6lIWMpYOxIdH1OTg==source of prices - third7.043.04.04.00.04.04.0.1MARKETPLACE2SHOPS/KIOSKS NOT IN THE MARKET4Other3ESOKOUNF:6:EMRpZjeK8LVDfng0bfJTMw==treat2.00.50507627227610541.5.1.550.00.01.02Africa rising1ControlUNF:6:BmW+ia+0noJh/BcFBF1bXg==community id101148.080105.00.085416.5.9531.5530383154024200.089165.5UNF:6:GxrQZOM3e/tAE7fRW95d5g==region10.0.0.04200.08.50.91684248532185818.08.8600000000000448Northern Region9Upper East region10Upper West regionUNF:6:OwBGSfLFtpCM8XXrEpbxgA==district5.400000000000179.4.01.04200.00.011.03.73675321650976687Bongo9Wa municipal2Salvelugu8Wa West3West Maprusi11Nadowli1Tolon/Kumbungu4Kassena Nankana West5Kassena Nankana East10Wa East6Talensi-NabdamUNF:6:bQghRABjgf256Y3cM8Hi6Q==community.25.54200.025.550.00.014.4325879571787251.029Naro43Tekuru27Nabogu47Tingoli22Kpelung23Kpirim28Namiyila15Gushie12Goripie46Tindan1Arigu2Basigu41Tabiase11Goli21Kpallung9Gbanjon14Guo37Sa Gie36Pigu6Disiga40Siiriyin3Bonia24Kukobila20Karemiga13Goriyiri26Laogri31Natodor7Duko17Issa25Kukua10Gia18Jana34Papu44Tibali38Sabulungo4Botingli19Kadia16Gyilli50Zanko32Nyagli48Wogu45Tiborgunayili30Nasia33Nyangua49Yenduri35Pase8Fian39Shia5Cheyohi No. 242TaninaUNF:6:924Uev3d57XwAEJy/mOVtw==crop type0.0357.8542201588437101.0.1299.04200.0700.0661.8809523809524204Frafra potatoes1099Other fat products (please specify)999Other dairy products (please specify)1201Tea dry1299Other (please specify)1205Prepared tea, coffee1207Local brews (pito, sobolo, zomkom)809Fresh fish and other seafood602Spinach703Mangoes608Green pepper805Wild birds, insects, mice702Citrus fruits (oranges, lemon, tangerines, etc.)610Wild vegetables1199Other spices (please specify)1106Dawadawa499Other pulses (please specify)302Sugarcane1105Ethiopian pepper199Other cereal products (please specify)399Other sweets (please specify)603Cabbage201Cassava fresh1203Other raw materials for drinks606Tomatoes109Macaroni, spaghetti807Bushmeat301Sugar804Chicken and other poultry501Groundnuts in shell/shelled401Peas, beans, lentils105Late millet1002Butter, margarine, ghee108Buns, cakes and biscuits801Goat meat701Ripe bananas802Beef including minced sausage502Bambara nuts811Dried/salted fish206Cocoyams1204Bottled/canned soft drinks (soda, juice, water)202Cassava dry/flour107Other grains (please specify)304Honey, syrups, jams, marmalade, jellies, canned fruits1103Pepper605Canned, dried and wild vegetables303Sweets601Onions299Other starches (please specify)607Carrots102Yellow maize901Fresh milk808Eggs604Moringa704Avocadoes104Early millet1102Saltpetre (kawa)1101Salt599Other nuts and seeds806Other domestic meat products503Seeds and products from nuts/seeds (excl. cooking oil)902Milk products699Other vegetables (please specify)705Wild fruits810Smoked fish103Sorghum/guinea corn402Cow peas1206Bottled beer609Canned and dried vegetables899Other meat (please specify)203Sweet potatoes205Yams1104Ginger106Rice207Plantains1202Coffee and cocoa903Canned milk/milk powder101White maize1001Cooking oil803Pork including sausages and bacon812Package/Canned fish799Other fruits504Wild nuts and seeds1208Wine and spiritsUNF:6:LKFbE3ieiiMaDtoOHeRF2A==unit.8.1443840287684071462.01.021.02738.04.010.53067932797658719Heap18Cup20Bowl3Liter14Bunch16Sachet/tube5Cane/basket2Gram1Kilogram21Other4Unit of pieceUNF:6:NjiYyQkZr7fbGa538eJk7g==price per unit1462.02738.00.02.23.837764791818853.6.482378303471582200.0UNF:6:xTvDhrSE90UZTz2mRz84aQ==is unit in ch4a a standard unit (kg, gram, liter)?1.7487216946676416.2.02.01462.02738.00.433827450941999871.02No1YesUNF:6:EQ4w9EI3H/oxug9SqCyCXg==weight in standard unit (kg, gram, liter)?1791.0119.54907226657818750.02409.044.82787548855382.2.70.0UNF:6:88AlXxD63YNrWur0qrBYAA==standard unit used in ch4d1.00.5097008337629766.1.2724734785036311.01791.03.02409.02Gram3Liter1KilogramUNF:6:na2EJx4jDRS22tQ6ySxqvA==treat4200.01.01.51.50.00.50005953444088492.0.2Africa rising1ControlUNF:6:Xq7AaypvkgegJyu+z4x0TA==046_GHA_ARBES_Household_Codebook.pdfThis is the codebook for household level data. application/pdf047_GHA_ARBES_Community_Codebook.pdfThis is the codebook for community level data.application/pdf048_Ghana ARBES Household FINAL.pdfThis is the household questionnaire. application/pdf049_Ghana ARBES Community FINAL.pdfThis is the community questionnaire.application/pdf050_Ghana ARBES 2014 Survey Report.pdfThis is the survey report.application/pdf051_GARBES Technical note.pdfThis is the technical note. application/pdf_table-of-contents.pdfThis file lists all the data files and supporting documents contained under this study.application/pdf