DDI_SSD_2009_NBHS_v01_M Southern Sudan Center for Census, Statistics and Evaluation Development Data Group 2010-10-05 NADA Version 01: Adopted from "DDI-SSD-SSCCSE-NBHS-2009-v01" DDI that was done by metadata producer mentioned in "Metadata Production" section. National Baseline Household Survey 2009 First Round NBHS 2009 SSD_2009_NBHS_v01_M Southern Sudan Center for Census, Statistics and Evaluation

African Development Bank

Statistics Norway

United Nations Development Programs

United Nations Infant and Children Education Funds

Directory of Nurition

Government of Southern Sudan

Statistics Norway United Nations Infant and Children Education Funds Food and Agriculture Organization of the United Nations United Nations Development Programs (c) 2010 Southern Sudan Center for Census, Statistics and Evaluation NADA African Development Bank Statistics Norway United Nations Development Program Director ICT Socio-Economic/Monitoring Survey [hh/sems] The National Baseline Household Survey 2009 (NBHS) is the second national sample survey designed to provide information for all Sudan after the peace agreement in 2005. The Southern Sudan Commission for Census, Statistics and Evaluation (SSCCSE) was responsible for conducting the survey in all 10 states of Southern Sudan. The survey took place in March/April 2009. In December 2008 SSCCSE did a pilot in Torit, Eastern Equatoria State The NBHS involved random sampling, 528 households were interviewed in every state. Accurate, up-to-date, and relevant data from household surveys are essential for governments to make sound economic and social policy decisions. Thus, the Government of Southern Sudan need the data from the NBHS to measure and monitor poverty, employment and unemployment, school enrollment, nutritional status, housing conditions, and other dimensions of living standards. They need the data to determine whether food, drinking water, schools, agriculture, services, roads, electric power, and other basic services are reaching the poor and other disadvantaged. Additionally analysts need household survey data to model economic behavior and thus provide answers to such important policy issues as mentioned above. This survey is considered the First Round, other rounds will follow later after two or five years depending on what Ministry of Ministry Finance and Economic Planning will agreed up on. v01 Poverty Millenimum Indicators consumption/consumer behaviour [1.1] economic conditions and indicators [1.2] The primary purpose of the survey is to facilitate the estimation of poverty prevalence, and a study of the nature of poverty, in Southern Sudan. Briefly, analysis of the survey results should be able to tell us the proportion of Southern Sudan's population that lives below the poverty line, the spatial pattern of distribution of poverty across states and regions, and the manner in which poverty affects different aspects of the lives of poor people. An additional purpose of the survey is to enable analysts to compute weights for the basket of commodities for each state so that a Consumer Price Index may be calculated for each state in the future. Thus far, CPI has only been calculated for five cities - Juba, Wau, Rumbek, Torit and Malakal. The CPI helps track price movements month-to-month and is useful for inflation targeting. In addition to the above purposes, an important aspect for the use of the data is to enable other stake-holders in Southern Sudan including GoSS ministries, UN agencies, NGOs and researchers to carry out in-depth analysis of particular aspects of the data which are of interest to them. For example, we expect the survey to yield high-quality baseline information on labor force and agriculture to fill in these crucial data-gaps till full-fledged surveys can be held on these subjects. South Sudan The National Baseline Household Survey (NBHS) 2009 is a National Coverage, the sample covers the Ten States of Southern Sudan. The Data allowed comparison across Regions, States and a Urban / Rural split. In all the Ten States, all Counties were covered in the sample which gives a complete representation of the population of Southern Sudan. Replacements were done for those EAs that were under insecurity like the case in Jonglei and Western Equatoria State. One EA was replaced in Central Equatoria State was replace due demolition. Households and individuals Households and individuals Sample survey data [ssd] - Interview Particulars - Location Characteristics - Household Migration Characteristics - Questionnaire Logistics - Household Demographic Characteristics - Education (age 6 years and above) - Activities/ Work (age 6 years and above) - Children Less Than 5 Years Old - Height and Weight - Children 12-24 Months Old - Immunization - Housing - Livelihood and Assets - Household Health - Economic Transfers - Cash, Credit, Savings and Shocks - Household Consumption Expenditure - Agriculture (Crop Plot, Crop Harvest) Southern Sudan Center for Census, Statistics and Evaluation The Sample selected for the 2009 National baseline Household Survey (NBHS) was based on a stratified two stage Sampled Design. The Sampling frame was based on 2008 Sudan Census preliminary count of Household by Enumeration Areas (EAs) and the Census Cartography. The Primary Sample Units (PSUs) was EAs which were Census operational segments indentified on maps, with an average of 184 households in Urban and 136 Household in Rural areas. For the NBHS, the Census EAs were stratified by State, Urban and Rural Areas. At the second sampling stage, households were selected from the listing in each sampled EA. The Sample Size was determined for obtaining reliable estimates for key survey indicators at State level, and for Urban and Rural domains at the National level. A sample of 44 EAs was selected at the first sampling stage for each of the Ten States of Southern Sudan, and at the second stage, 12 households were selected from the listing of each sampled EA. Therefore 528 households per State were selected which total to a sample size of 5280 households for Southern Sudan. Given the above, only 15.2% of the households in Southern Sudan were classified as Urban, a higher first stage sampling rates was used for the Urban Stratum of each State in order to improve the precision of Unban estimates at the National level. During the survey, derivation from sample design occurred in Western Equatoria and Jonglei State. These were caused by insecurity in these States. In Central Equatoria, one EA was demolished which force the survey team to replace that EA. Face-to-face [f2f] The questionnaire for the survey was designed in consultation with data users to ensure their requirements could be incorporated. A technical Working Group and a user Needs Group were set up to decide on user requirement and priorities for the survey; these group included representatives from various ministries, UN agencies and NGOs. The questionnaire contains several modules on different themes including health, education, labor, housing, asset ownership, access to credit, economic shocks, and transfers to the household, consumption and agriculture. A pilot questionnaire was approved by the User Needs Group on 24th November 2008. The pilot survey was carried out in December 2008, following which some changes were made to the questionnaire. Finally, after several rounds of discussion between Central Bureau of Statistics (GoNU) and SSCCSE in January and February 2009, the final questionnaire was approved in February 2009. The questionnaire is identical in both the South and the North with the exception of two modules which were only included selectively - child malnutrition (anthropometry) in the South and income in the North. Training for the survey was carried out in March 2009 and the fieldwork in April-May 2009 over a course of 6-7 weeks. In Southern Sudan, training was carried out for a period of two weeks in four regional centres: Yei – for teams from three Equatoria states and Jonglei Wau – for teams from four states of Greater Bahr El Ghazal Malakal – for teams from Upper Nile State Bentiu – for teams from Unity State Each state in Southern Sudan had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator. Each Team in a State covered 11 EAs. Each team in an EAs covers 3 days, one day for Listing of Households, and 2 days for interview. deployement depends on the distance betwen EAs Each Team did the first interview from models A to L which is refered to the first visit, and the second interview from model M to N in the Questionnaire and this was refered to the Second visit. The Interviewers were instruct to use English, however, they can interpret the questionnaire in other local Language where neccessary. usually when a Household is absent after severals recall that Household is replaced to the nearest household to the right. Household that refuse to be interviewed also are replaced in the same manner. During the Survey it was notice that, some EAs were demolished in Central Equatoria, and also insecurity in some EAs in Western Equatoria State and Jonglei State which force these EAs to be replace. Pilot for the National Baseline Survey was done in December 2008 in Torit Town Eastern Equatoria State. a sample of three EAs were covered Malakia, Lofiri and Ofong. The Survey Structure was as follows, Each state had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator. The role of Superviors was to: ·Coordination and team management of teams in the field ·Reading EA maps ·Supervision of listing and sampling ·Allocation of households to enumerators ·Handling cases of missing households/non-response of households in the sample ·Regular coordination with State HQ ·Daily quality-check on questionnaires and all work being done by the team ·Overall responsibility for field equipment issued to team The role of the Enumerators was: ·Scheduling of interview with household, explanation of the purpose of the survey ·Interviewing selected households as assigned by supervisor ·Listing of households on Day One in each EA ·Daily reporting and questionnaire submission to supervisor ·Responsibility for field equipment handed to them personally During the Survey Sothern Sudan Center for Census, Statistics and Evaluation Centeral Staff were deployed to each of the Ten States as State Cordinators; the Cordinators were assigned the task of technical assistance to the field world staff. Responsibilities .To coordinate with State Field Operations Manager in all activities, including but not limited to, logistical, as required for the successful completion of NBHS 2009. .To collect, and account for, with documentation, all field materials being distributed to field staff ·To receive regular updates from the field teams deployed in the State ·To clarify any technical issues arising in the field (for example in listing/questionnaire administration) with an impact on survey administration. In the event, the issue is not clear to the Coordinator; he/she must clarify the issue with HQ staff on an urgent basis. ·To communicate regularly with SSCCSE HQ Coordination team on the progress of fieldwork in the State. It is also their responsibility to flag any emerging/existing issues in survey implementation and administration. ·To be the Liaison Officer from the Headquarters in case of any field emergency requiring urgent action and possibly expenditure. Emergency expenditure above SDG xxxx must be approved by HQ Coordination staff. ·To collect, and account for personally with documentation, all questionnaires and listing forms. ·To personally take charge of the field instruments (questionnaires and listing forms) and bring them back to SSCCSE HQ for accounting and data entry ·To coordinate with responsible State SSCCSE officials on despatch of money to the States and disbursement of money to field staff and for other fieldwork activities. ·To periodically visit, as possible logistically, teams in the field to monitor progress and survey administration first-hand. ·In all the above activities, with the exception of communication with HQ, the HQ Coordinator will work in collaboration with the relevant State Officials including the State Statistical Director and the State Field Operations Manager. The HQ Coordinators will be drawn out of the pool of current staff members at the SSCCSE Head Office in Juba. They will ideally be experienced in fieldwork, logistics and training from Census Operations as also having been trained in the questionnaire of the NBHS. The sample was stratified by region. Variable "hhweight" was used to weight records at the household level. Data editing was first done manually in the field using Verification check list. Other edits were done in the office using the tif files. Edit rules were later apply using the SPSS. Data receiving/scanner feeding responsible at data processing centre: Check 1: Number of forms total per EA counted and protocolled Check 2: Staples removed before scanning Check 3: Scan 1 EA per “batch” Check 4: Re-staple, mark as scanned and store Scanning verification on screen: Check 1: (must-be-filled-in-check) If no codes for a1_state to a1_house, check TIFF file for text or writings outside box and put code based on text if possible - if not type 9, 99 or 999 (MISSING) to get past the check Check 2: (only-one-mark-allowed-check for all single response questions) If more than one mark, check TIFF file and correct if possible - if not possible to decide on correction, type 9 or 99 (to signal to SPSS professional editor) Check 3: (valid-range-checks) If outside range, verify TIFF on screen and be sure that what is written on the form is correctly interpreted (special focus on decimal errors and possible extra zeros given when writing SDGs). If errors identified then correct on screen, if not force the initial written value through without any changes. This will be dealt with in SPSS edits. Other detailed documentation of the editing of the data can be found in the "Data processing guidelines" the document is provided in an external resource. The response rate for this study 100 percent. To estimate the standard errors for NBHS indicators estimation of variance for the proportion given in the formula was used: Vp'= Def*p (1-p)/(n-1), where: p - Proportion for the variance estimate, n - Sample size, and Def - effect of sample planning for the observed group of indicators. The standard error is the square root of Var xd'. To calculate the variance for the whole population, the estimations of variance for the separate domains were summed. The approximate design effect was derived from the estimation of the variance of the simple random sample, and from the estimation of the variance proposed in the ultimate cluster method. The design effect was calculated for all groups of variance and separately for all observed domains. All differences denoted as significant in the text are significant at the 95 percent confidence level, unless otherwise indicated. Due to lack of standardize unit of measurement, price correction factors were used to adjust the prices. key corrections were done for abnormal quantities reported to have been consumed by Sampled Households Confidentiality of the respondent is guaranteed as referred to appendix A of the data dissemination policy of August 27th/2010. Before being granted access to the dataset all users formally agreed: - No attempt will b made to re - identify respondent and no use will be made of the identity of any person or established discovered inadvertently. - Any such discovery must be immediately report to the Center. - No attempt will be made to produce linked among the dataset provided by the Center or among data from the Center and other dataset that could identify individuals or organization Southern Sudan Center for Census, Statistics and Evaluation The following statement must be used as citation: "Southern Sduan Center for Census, Statistics and Evaluation" National Baseline Household Survey 2009 (NBHS), Version 1.1 of the lienced dataset (April 2010). Provided by the Southern Sudan Data Archive. http://www.ssccse.org Access to these files is described in section G of the Data Dissemination Policy of 27th/August 2010 Data access agreement The Primary Data Investigator, the Other Investigators, and the Representative of the Receiving Organization agree to comply with the following: 1. Access to the restricted data will be limited to the Primary Data Investigator and Other Investigators. 2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Centre 3. The data will only be processed for the stated statistical purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes. 4. The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Centre. The identification will not be revealed to any other person not included in the Data Access Agreement. 5. The Primary Data Investigator will implement security measures to prevent unauthorized access to licensed micro data acquired from the Centre. The micro data must be destroyed upon the completion of this research, unless Centre obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the micro data will be confirmed in writing by the Primary Data Investigator to the Centre. 6. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset. The original collector of the data, the Centre, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inference based upon such cases. calories This dataset provides information from "National Baseline Household Survey Questionnaire", Calories 150 4 Mapping This dataset provides information from "National Baseline Household Survey Questionnaire", Interview Particulars 440 23 NBHS_ENERGY This dataset provides information from "National Baseline Household Survey Questionnaire", Section M3 4421 22 NBHS_FOOD This dataset provides information from "National Baseline Household Survey Questionnaire", M2 67348 14 NBHS_HH Variable This dataset provides information from "National Baseline Household Survey Questionnaire", Section H, I, L, 4969 238 NBHS_IND This dataset provides information from "National Baseline Household Survey Questionnaire", Section B, C, D, E 33660 85 NBHS_NONFOOD This dataset provides information from "National Baseline Household Survey Questionnaire" Section M4, M5 69052 10 item order item order item order item order item order Item order 150 1 150 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 item_name item_name item_name item_name item_name Item Name 150 Accessories beef/veal Accessories meat (cow guilt/veal) fresh Accessories meat (head of cattle/veal) fresh and clean without skin Aluminium box Fanta or Sprite 350 milliliters Animal and vegetable butter Apples Avocado Baking powder Black tea imported Blood and blood products Bottle of Fanta Sprite Bottle of Fanta or Sprite 300-350 milliliters Bread Breakfast cereals Buns Cabbage Camel liver Camel meat (local fresh) Candy Canned/bottled beer Carrots Cassava boiled Cassava flour Cassava tubers Chicken Chicken and poultry Chocolate Cigarettes Cinnamon powder Cocoa Coffee Coffee or tea in the market Cooking banana Cooking oil Coriander Cucumber Dates Dried fish (local) Dry Egyptian beans (local) Dry chick peas Dry okra (dry Alweka) Dura Dura flour Eggs Eggs boiled Egyptian boiled beans Feet/foot of cow/veal, fresh and clean without skin Feet/foot of sheep/goat, fresh and cleaned (without skin) Fish Fish dishes in a restaurant Fissekh, salted fish (local) Food salt Fresh beef Fresh fish, Bolati and others Fresh milk Fresh orange juice in a restaurant Fresh tomatoes Ghee (samin) Ginger powder Goat head cleaned and fresh (without skin) full head Goat meat (with bones, fresh, local) Grain black pepper Green okra Green spicy (pungent) Groundnut flour Honeyed tobacco (Aoasl) Indian mango (local) Infant feeding Insects Jam (the malty) & jelly Jelly Khazalten tea or other Kisra and asida Lentils Lentils (Adasia) Liquor Liver (cattle/veal) Liver (sheep/goat) Local banana Local biscuit Local mineral water Local mineral water 0.5 liters Local mineral water 1.5 liters Lunch in a restaurant Macaroni, spaghetti, noodles etc Maize (in the cob) Maize boiled/roasted Maize flour Mango peal (municipal mango) Mangoes Meals and breakfast for one person in a restaurant Meat Meat accessories (sheep/goat) Meat dishes in a restaurant Milk powder Milk products; cheese, yoghurt, etc Millet (Dukhn) Millet flour Milokhia Mutton tripes (intestines) cow/veal fresh and clean Mutton tripes (intestines) sheep/goat, fresh and cleaned Natural groundnut (Roasted) Natural honey Nescafe (coffee instant) Okra dry powder (waika) Onions Orange juice (fruit juice) Oranges Other beverage products Other cereals and cereal products Other cooked food from venders Other flour Other fruits Other meat and animal products Other roots, tubers, vegetables Other spices Other sugar Papaya Pineapple Pork meat Potato (Irish) Promises cinnamon Pumpkin (GaraÕa) Red chili (hot pepper) Reels of pasta Rice (imported) Sandwich Tamiya / beans Sausages (cattle/veal) Sheep head fresh and cleaned (without skin) full head Sheep meat (fresh, with bone, local) Small animals (rabbits, mice,É.) Soya bean flour Sugar Sugar cane Sweet potato Tahnieh Halawa Tea bags Tinned fish, sardine 125 grams, tuna, etc Tinned pulses Tomato sauce (canned) Tomato sauce (large pack of local 500 grams) Tomato sauce (small pack of 70 grams) Tombac, tobacco Traditional beer Wheat Wheat flour (Fino,local) White beans Yam Yeast Yellow maize (Dura Shami) item item item item item Item 150 11101 Dura 11103 Yellow maize (Dura Shami) 11104 Millet (Dukhn) 11105 Wheat 11106 Maize (in the cob) 11109 Rice (imported) 11111 Wheat flour (Fino,local) 11114 Dura flour 11116 Maize flour 11117 Millet flour 11118 Other flour 11121 Macaroni, spaghetti, noodles etc 11122 Breakfast cereals 11127 Reels of pasta 11128 Bread 11130 Kisra and asida 11132 Local biscuit 11136 Buns 11139 Infant feeding 11140 Other cereals and cereal products 11201 Sheep meat (fresh, with bone, local) 11202 Goat meat (with bones, fresh, local) 11203 Liver (sheep/goat) 11204 Meat accessories (sheep/goat) 11205 Fresh beef 11206 Pork meat 11210 Liver (cattle/veal) 11211 Accessories beef/veal 11212 Camel meat (local fresh) 11213 Camel liver 11214 Chicken and poultry 11215 Small animals (rabbits, mice,É.) 11216 Insects 11217 Blood and blood products 11219 Sausages (cattle/veal) 11220 Other meat and animal products 11301 Fresh fish, Bolati and others 11303 Fissekh, salted fish (local) 11305 Dried fish (local) 11306 Tinned fish, sardine 125 grams, tuna, etc 11401 Fresh milk 11404 Milk powder 11406 Milk products; cheese, yoghurt, etc 11411 Eggs 11501 Animal and vegetable butter 11503 Ghee (samin) 11505 Cooking oil 11602 Apples 11603 Local banana 11606 Oranges 11614 Mangoes 11616 Pineapple 11619 Dates 11626 Papaya 11627 Avocado 11628 Other fruits 11701 Dry Egyptian beans (local) 11702 Dry chick peas 11703 Green okra 11704 Dry okra (dry Alweka) 11705 Natural groundnut (Roasted) 11706 Groundnut flour 11707 Soya bean flour 11711 Lentils 11713 White beans 11715 Lentils (Adasia) 11718 Carrots 11719 Cabbage 11720 Cucumber 11725 Onions 11728 Fresh tomatoes 11734 Potato (Irish) 11735 Sweet potato 11737 Milokhia 11741 Pumpkin (GaraÕa) 11744 Tomato sauce (canned) 11745 Tinned pulses 11749 Cassava tubers 11750 Yam 11751 Cassava flour 11752 Cooking banana 11753 Other roots, tubers, vegetables 11801 Sugar 11802 Sugar cane 11803 Natural honey 11805 Tahnieh Halawa 11806 Chocolate 11807 Jam (the malty) & jelly 11809 Candy 11810 Other sugar 11901 Green spicy (pungent) 11902 Red chili (hot pepper) 11903 Grain black pepper 11906 Ginger powder 11912 Yeast 11914 Promises cinnamon 11915 Cinnamon powder 11916 Food salt 11919 Baking powder 11923 Coriander 11925 Okra dry powder (waika) 11931 Other spices 12101 Coffee 12103 Black tea imported 12105 Tea bags 12106 Nescafe (coffee instant) 12107 Cocoa 12201 Local mineral water 12202 Orange juice (fruit juice) 12215 Bottle of Fanta Sprite 12218 Traditional beer 12219 Canned/bottled beer 12220 Liquor 12221 Other beverage products 22001 Cigarettes 22009 Tombac, tobacco 22010 Honeyed tobacco (Aoasl) 111101 Lunch in a restaurant 111102 Coffee or tea in the market 111103 Fresh orange juice in a restaurant 111104 Meals and breakfast for one person in a restaurant 111105 Sandwich Tamiya / beans 111106 Egyptian boiled beans 111201 Maize boiled/roasted 111202 Cassava boiled 111203 Eggs boiled 111204 Chicken 111205 Meat 111206 Fish 111207 Meat dishes in a restaurant 111208 Fish dishes in a restaurant 111209 Other cooked food from venders 112041 Sheep head fresh and cleaned (without skin) full head 112042 Goat head cleaned and fresh (without skin) full head 112043 Feet/foot of sheep/goat, fresh and cleaned (without skin) 112045 Mutton tripes (intestines) sheep/goat, fresh and cleaned 112111 Accessories meat (head of cattle/veal) fresh and clean without skin 112112 Accessories meat (cow guilt/veal) fresh 112113 Feet/foot of cow/veal, fresh and clean without skin 112114 Mutton tripes (intestines) cow/veal fresh and clean 116141 Indian mango (local) 116142 Mango peal (municipal mango) 117441 Tomato sauce (small pack of 70 grams) 117442 Tomato sauce (large pack of local 500 grams) 118091 Jelly 121031 Khazalten tea or other 122011 Local mineral water 1.5 liters 122012 Local mineral water 0.5 liters 122151 Bottle of Fanta or Sprite 300-350 milliliters 122152 Aluminium box Fanta or Sprite 350 milliliters calories calories calories calories calories Calories 120 30 8840 STA_CODE STA_CODE STA_CODE STA_CODE STA_CODE STA Code 440 71 72 73 81 82 83 84 91 92 93 STATE STATE STATE STATE STATE State 440 Central Equatoria Eastern Equatoria Jonglei Lakes Northern Bahr El Ghazal Unity Upper Nile Warrap Western Bahr El Ghazal Western Equatoria Urb_Rur_S Urb_Rur_S Urb_Rur_S Urb_Rur_S Urb_Rur_S Urban Rural State 440 1 2 CTY_L CTY_L CTY_L CTY_L CTY_L City Location 440 7101 7102 7104 7105 7106 7107 7108 7109 7110 7111 7112 7201 7202 7203 7204 7205 7206 7208 7209 7210 7211 7301 7302 7303 7304 7305 7306 7307 7308 7309 8101 8102 8103 8104 8105 8106 8107 8201 8202 8203 8204 8205 8301 8302 8303 8401 8403 8404 8405 8406 8407 8408 9101 9102 9103 9104 9105 9106 9107 9108 9109 9110 9201 9202 9203 9204 9205 9206 9301 9302 9303 9304 9305 9306 9307 9308 COUNTY COUNTY COUNTY COUNTY COUNTY County 440 Abiemnhom Abyei Aweil Centre Aweil East Aweil North Aweil South Aweil West Awerial Ayod Baliet Bor South Budi Cueibet Duk Ezo Fangak Gogrial East Gogrial West Guit Ibba Ikotos Juba Jur River Kajo-Keji Kapoeta East Kapoeta North Kapoeta South Khorflus Koch Lafon/Lopa Lainya Leer Longochuk Luakpiny/Nasir Maban Magwi Maiwut Malakal Manyo Maridi Mayendit Mayom Melut Morobo Mundri East Mundri West Mvolo Nagero Nyirol Nzara Panyijiar Panyikang Pariang Pibor Pochalla Raga Renk Rubkona Rumbek Centre Rumbek East Tambura Terekeka Tonj East Tonj North Tonj South Torit Twic Twic East Ulang Uror Wau Wulu Yambio Yei Yirol East Yirol West PAY_L PAY_L PAY_L PAY_L PAY_L Pay L 440 710101 710102 710103 710104 710105 710204 710401 710404 710502 710601 710604 710606 710702 710703 710704 710705 710707 710708 710805 710901 710902 710903 711002 711007 711008 711102 711104 711105 711106 711204 711206 720101 720104 720105 720202 720207 720301 720304 720306 720307 720405 720502 720504 720505 720508 720602 720603 720604 720801 720805 720901 720902 720907 721001 721003 721004 721101 721102 721103 721104 721105 721106 730101 730103 730105 730107 730201 730302 730304 730307 730308 730311 730312 730401 730404 730406 730408 730502 730506 730601 730603 730604 730606 730701 730703 730706 730801 730809 730901 730903 730904 730905 730908 810105 810201 810202 810203 810204 810205 810206 810301 810302 810303 810304 810306 810307 810308 810309 810401 810402 810403 810405 810502 810503 810505 810507 810508 810509 810601 810603 810605 810608 810702 810703 810704 810705 820101 820102 820103 820104 820201 820202 820203 820205 820206 820207 820208 820302 820307 820309 820402 820403 820406 820407 820409 820410 820503 820504 820505 830101 830103 830104 830201 830202 830203 830204 830205 830206 830301 830302 830304 830305 840101 840103 840104 840301 840302 840304 840401 840402 840501 840502 840503 840504 840505 840507 840601 840602 840603 840604 840605 840606 840607 840702 840703 840704 840706 840802 840803 840806 910102 910103 910104 910201 910302 910303 910402 910404 910405 910406 910504 910505 910601 910602 910603 910605 910703 910704 910802 910804 910807 910903 910904 911002 911003 911005 920101 920104 920106 920108 920202 920205 920206 920208 920211 920212 920213 920301 920303 920305 920402 920403 920404 920405 920501 920502 920504 920601 920602 920603 920604 930101 930102 930103 930105 930107 930201 930202 930204 930205 930206 930301 930302 930303 930305 930306 930402 930403 930405 930406 930407 930501 930503 930504 930602 930606 930608 930702 930703 930704 930705 930801 930802 930803 930804 930806 PAYAM PAYAM PAYAM PAYAM PAYAM Payam 440 Abang Abiemnhom Abiriu Abyei Adok Adong Adongo Aduel Ajak-kuac Ajuong Akoc Akon North Akon South Akot Alabek Alek North Alek South Aliek Aliiny Aluakluak Amongpiny Ananatak Anuol Anyidi Ariath Arihilo Aroyo Atar Atiaba Aweeng Aweil Town Awuul Ayat Centre Ayod Baach Bagari Bagidi Bahr El Grindi Baidit Bargel Bentiu Town Besselia Bhar Mayen Bimachuk Boaw Bor Boung Buma Bun-agok Bur Burgilo Chel South Chemmedi Chumakori Cueicok Dok Dolo Doma Domoloto Dor Duony Eastern Malakal Ere Ezo Centre Gakrol Gameiza Ganyliel Geger Geng-geng Ghar Gogrial Gomjuer Centre Gomjuer East Gulumbi Gumuruk Himodonge Hiyala Ibba Centre Ikotos Imotong Imurok Jaak Jalhak Jalle Jamjang Jekow Jiir Jikmir Juba Town Kaljak Kangapo I Kangapo II Kangi Kapoeta Town Karukomuge Katodori Kator Kauto Kedad Kenyi Kiech Kuon Kimba Kokori Kolnyang Komori Kotobi Kuac North Kuac South Kuachlual Kuajena Kuerbuone Kuerenge-Ke Kurmuot Kurumi Lainya Lakamadi Lekakedu Lire Lith Liwolo Lobone Lohutok Lokiliri Lomeyen Lomohidang North Lomohidang South Longiro Lozoh Machi One Machi Two Madebe Madhol Mading Magwi Maiwut Makuach Malek Maleng-agok Malon Pec Malual Centre Malual East Malual North Malual-bai Malual-cum Mambe Man-loor Manajang Mangar-tong II Mangok Manikakara Mankien Manyang-ngok Mapuordit Marial Bai Marial-lou Maridi Mariem East Mariem West Matangai Mayen Mayom Mogok Mogos Motot Mugali Mugwo Mundri Munuki Naandi Nabanga Nadiangere Nagero Nagishot Najie Namutina Narus Nasir Natinga Nauro Ngony Nhialdiu Nimule North Renk Northern Bari Northern Malakal Nyainthokmalual Nyal Nyambor Nyang Nyathoar Nyongkuach Nyongrial Nyuak Nzara Centre Ogot Otogo Pachaar Pacong Padeah Pading Pagak Pagarau Pagol Paguer Pajiek Pajok Paliang Paloch Pamach Pannyok Panyang Panyidwoi Panyijiar Panyume Pariang Paringa Pathuon East Pathuon West Payai Phom Pibor Pieri Pochalla Pulturuk Puluk Raga Reggo Rejaf Riak Riau Ringasi Ringi Roam Rocrocdong Ruathnyibuol Rubkotne Source Yubu South Renk Southern Malakal Tali Tambura Tar-weng Thiet Tindilo Toch North Tonga Tonj Tore Torit Turalei Tutnyang Udici Ulang Wan-bai Wangbuor_3 Wangkei Wath-alel Wathmuok Wau Wau Bai Wau North Wau South Wedakona Witto Wuji Wunkur Wunlang Wunrok Wuror Yali Yambio Town Yangiri Yargot Yei Town Yeri Yirol BOM_L BOM_L BOM_L BOM_L BOM_L BOM L 440 710101001 710102006 710103004 710104002 710104004 710104006 710105002 710105004 710105005 710204002 710204005 710401003 710404001 710404004 710502002 710601002 710604004 710606002 710702001 710703001 710703004 710704002 710705005 710707001 710707004 710708002 710805001 710901002 710902002 710903003 711002003 711007003 711008001 711102001 711102004 711104003 711104007 711104008 711105002 711106001 711106002 711106004 711204003 711206008 720101002 720104001 720105006 720202002 720202005 720207001 720301001 720301004 720304002 720306001 720307002 720405001 720502003 720504003 720505005 720508001 720508003 720602001 720603002 720604004 720801006 720805001 720901007 720902003 720902010 720907007 720907009 721001003 721001005 721003004 721004001 721004006 721101001 721102002 721102006 721103002 721103005 721104001 721105004 721106002 730101001 730103002 730103006 730105001 730105002 730107001 730201002 730302002 730302003 730304001 730304004 730307003 730308003 730311002 730312004 730401001 730401002 730401004 730401005 730401007 730404001 730406009 730408007 730502002 730506002 730601001 730603005 730604002 730606005 730701002 730703001 730703002 730703003 730706002 730801002 730809002 730901002 730903001 730904002 730905003 730908003 810105003 810201002 810202002 810203001 810204001 810204003 810205004 810206002 810206004 810301002 810302003 810303002 810304001 810304004 810306001 810306002 810307002 810307003 810308001 810309001 810401001 810402003 810403002 810405002 810502002 810503002 810505002 810507001 810508001 810509003 810601002 810603002 810605003 810608001 810702001 810702003 810703003 810704003 810705001 820101003 820102003 820103004 820103007 820104001 820104004 820201003 820201005 820201009 820201011 820202001 820202007 820202010 820202014 820203003 820203005 820205003 820205005 820206004 820206007 820207001 820207005 820208008 820302002 820307001 820309001 820402001 820402002 820402003 820402004 820402007 820402008 820402009 820402010 820403001 820406001 820407001 820409001 820410001 820503001 820504002 820505003 830101003 830103003 830103004 830103005 830104001 830201002 830201005 830202001 830202003 830202004 830203004 830204002 830205001 830205003 830206001 830206004 830301005 830302002 830302006 830304002 830304003 830304005 830304006 830304007 830304009 830304011 830304012 830304013 830305002 830305003 830305007 830305008 830305010 830305012 830305013 830305014 830305016 840101002 840101004 840103002 840104001 840104002 840104004 840301001 840302001 840302002 840302003 840304001 840304002 840304003 840401002 840402001 840501001 840502002 840503002 840504002 840505002 840507001 840507002 840601003 840602001 840603001 840604003 840605002 840606002 840607001 840702001 840703002 840704002 840706003 840802002 840803006 840806003 910102002 910103001 910104001 910104005 910104007 910201004 910302001 910302002 910302003 910303001 910402004 910404002 910405003 910406003 910504003 910505001 910505003 910505005 910505007 910505008 910601001 910602002 910603002 910605003 910703002 910704001 910704002 910704003 910704005 910802001 910804004 910807003 910903003 910904003 911002002 911003003 911005001 920101003 920104003 920106005 920108001 920202002 920205006 920205013 920205018 920206001 920206002 920206004 920208003 920211001 920211005 920211007 920211010 920211012 920212001 920213001 920301003 920303001 920305003 920402002 920403004 920404003 920405001 920405002 920405003 920405008 920405009 920405010 920501004 920502001 920504001 920601002 920601008 920602002 920603003 920603005 920604002 920604006 930101001 930102003 930103004 930105002 930107001 930107002 930107005 930201001 930202003 930204001 930205002 930206003 930301002 930302007 930303005 930305001 930306008 930402006 930403001 930403005 930403008 930405001 930405005 930406004 930407001 930501006 930503001 930504004 930504005 930602006 930606003 930608002 930702002 930703003 930704003 930705005 930801001 930802004 930802007 930803002 930804003 930806001 BOMA BOMA BOMA BOMA BOMA Boma 440 Abarkou Abeer Abinajok Abior Abyei-jongyom Achairi Achuan Acol Malek Adau Adeba Adol Aduel Agany Aguat Ajiep Ajok Ajuet Toich Akak Akeu Akoljal Akuai-deng Alek Aliet Alilang Alual Alur Amatnhom Ameth-agok Angol Anguoth Arech Aroyo Assosa Ateerbaai Athor Atiaba Atido Atlabara Autak Awilgik Ayat Ayunang Baan Baau Bahr El Grindi Centre Baka Bam Banglei Baping Bargok Bazande Bazia Jedid Bazungua Bebineeth Belwang Bereka Besselia Biathin Bielchier Biling-Guet Billing Bilnyang Bimruok Boaw Bool Bor-town Borjangne Boro Buagye Bulyom Bureng Chetta Chimel Dit Cholocok Chuei Ardeb Thaar Chuei-magon Chuek Chuful Cuei-cok Dakjur Dar- Salam Dengbow Deteku Dhek Dheek Dhuording Dinka Dok Dong Dorik East Darjat Emtidad El Gidim Emtidad-El-Jidiet Engass Ezo Centre Fodo-Fodo Ganyliel Garam Garang Gberezagino Gech Reng Gimunu Gogrial Gok Machar Gokgoak Gomjuer Thei Goni Guengdaloth Gulmar Gumbo Gumuruk Centre Hai Falata Hai Kalvario Hai Kerech B Hai Khorgana Hai Kokora Hai Malakal Hai Salam Hai Seminary Hai Sobe Zone Hai Zendia Hai-Dinka Hai-Television Hai-Theraya Hai-Wai-Messer Hai-Zandi Hai_vetenary Haya Toich Hor Ifosi Ikotos Ismailiya Isoke Isore Jalhak Centre Jalimo Jamjang Jebel Kheir Jebel Ladu Jerajiep Jezira Jiech Jikmir Jobur Jonsuk Zone Juai_bor Kaabi Kabehenyang Kacuat Kala Kalbalek Kamee Kandak Kanyawayi Katodori Katoogun Kator Centre Kaya Kayango Keberek Keew Kernyang Kilanya Kindi Kiri Koat Koatwetha Konbek Korea Kosti Kotobi Kpotonayo Kuacjok Kuajena Kuei Kueldhal Kuerluot Kulu Kumbuong Kumshuer Kuron Lakamadi Lang-kap Langbar Lieth Limkuon Lingire Lohutok Loka west Lokiliri Centre Lokloko Lolepan Lologo Longamere Longi Longira Lotakawa Luakat Ludo Cok Lui Lukluk Mabil Mabior-abiem Mabirindi Mabui Machar Kunyuk Block A Machdeng Madebe Centre Magwi Majak Majak-pagai Majok Majok Abyei Majok Ngor Majok Yinthiow Makuac Amudho Makuach Makuei Wettong Makuei-Agep Malakia Malei Malek Malek-ngok Malou Malou-Aweer Malual Bay Maluil-ajak Mambe Mangok Manyiel Manyumen Marial Marol Akot Marol-lach Masindi Matakurungu Mathiang Mayath Mayen Ulem Mayen-loc Mayenjur Mayom Mayom-Adhal Mayom-chol Mbili Mboroko Mere Midder Miiding Ming-kaman Mirmir Monita Morjame Moruarengan Moso Mundri Munuki Block B Muomkuan Mutamadia Muwzifin Naandi Centre Nabanga Centre Nadiangere Centre Nagbaka Nagero Centre Naivasha Nakwaa Namaiku Namarabia Namolokonyit Napwotasigiria Nasir Natiir Natipiir Nayonaahaton Nazareth Ngaboli Ngangorom Ngap-athian Ngindo Ngisa Ngtiang Nimule Nor Norjuoy Norkong Nyadiar Nyal Nyangkoot Nyat Nyiel-abiel Nyigar Nyinchum/Kuom Nyokuron East Nyokuron South Nyong Nyuenypiu Nzara Centre Okorohore Ombaci Oriang Otalo One Owiny-Kibul Pabur Padit Pagakdit Pagarau Pakum Pakur Paliau Palo Paloch Pamat Panameth Panawac Pankar Pankot Panyijiar Panyikwara Parag Pariak Parial Parich Pariel Patei Pathiew Pawel Payak Payuer Pibor Pongborong Pulual Puor Raga North Raga South A Raga South B Rei Reng Ringasi East Rir Rocrocdong Rubu Rum-Aker Rum-Athoi Rup Salaam Sanjasiri Zone Sera-Jale Sirimon Sokare Suare Taar Tambura West Tangnyang Tharuop Thiet Thuguro Tiit-cok Tikou Timbiro Timsah Tirrangore Toalare Tomping Tonga Tongedol Tonj Tutnyang Uleng Wangbuor War-Rak War-baai War-nyinyam Waragany Warayat/Nyinakok Wath Thok Wathoak Waukok Wekjur West Darjat Wuji Centre Wun-cuei Wunkuel Wunthou Wunthow Wut Kiir Wutlier Wutrek Yabongo Yangiri Centre Yaridani Zone Yeri Yibor Yiik-ador Ying Yjigommony Zone Zande EA_CODE EA_CODE EA_CODE EA_CODE EA_CODE EA Code 440 101 221 101 102 103 104 105 106 107 108 109 110 111 112 113 116 117 118 201 202 203 204 205 206 207 208 209 210 211 212 213 215 216 218 219 220 221 GEOID GEOID GEOID GEOID GEOID Geoid 440 7.211e+11 710101001201 710102006203 710103004104 710104002107 710104004111 710104006105 710105002104 710105004201 710105005104 710204002203 710204005101 710401003201 710404001201 710404004104 710502002202 710601002203 710604004102 710606002203 710702001205 710703001204 710703004209 710704002206 710705005202 710707001203 710707004104 710708002201 710805001202 710901002201 710902002201 710903003205 711002003201 711007003102 711008001201 711102001103 711102004104 711104003101 711104007101 711104008108 711105002201 711106001104 711106002102 711106004101 711204003202 711206008101 720101002201 720104001206 720105006102 720202002104 720202005201 720207001101 720207001106 720301001101 720301004101 720304002202 720306001207 720307002204 720405001202 720502003201 720504003203 720505005202 720508001203 720508003203 720508003204 720602001201 720603002202 720604004203 720801006201 720805001206 720901007201 720902003201 720902003202 720902010205 720907007204 720907009108 721001003202 721001005202 721003004201 721004001205 721004006206 721101001209 721102002215 721102006203 721103002103 721103005105 721104001201 721105004201 721106002204 730101001202 730103002201 730103006201 730105001102 730105002203 730107001201 730201002101 730302002101 730302002105 730302003203 730304001206 730304004201 730307003209 730308003202 730311002201 730312004208 730401001101 730401002101 730401002102 730401004102 730401005105 730401007102 730404001204 730406009201 730408007103 730408007109 730502002202 730506002202 730601001212 730603005201 730604002101 730606005212 730701002204 730703001102 730703002102 730703003202 730706002202 730801002201 730809002202 730901002103 730903001201 730904002204 730905003205 730908003202 810105003102 810201002201 810202002205 810203001207 810204001207 810204003218 810205004213 810206002216 810206004213 810301002207 810302003204 810303002201 810304001207 810304004210 810306001101 810306001107 810306001116 810306002204 810307002107 810307002113 810307002116 810307003205 810308001215 810309001208 810401001204 810402003211 810403002219 810405002202 810502002215 810503002212 810505002220 810507001204 810508001204 810509003208 810601002205 810603002201 810605003202 810608001207 810702001203 810702003103 810703003210 810704003105 810704003113 810705001210 820101003203 820102003201 820103004205 820103007207 820104001212 820104004207 820201003202 820201005208 820201009201 820201011201 820202001204 820202007201 820202010209 820202014202 820203003202 820203005204 820205003202 820205005210 820206004201 820206007201 820207001208 820207005204 820208008201 820302002206 820307001203 820309001201 820402001103 820402002101 820402003103 820402004105 820402007101 820402007107 820402008105 820402008109 820402009102 820402010102 820403001201 820406001210 820407001206 820409001202 820410001207 820503001201 820504002207 820505003201 830101003204 830103003103 830103004101 830103004106 830103004112 830103005110 830104001206 830201002203 830201005202 830202001208 830202003201 830202004204 830203004203 830204002201 830205001201 830205003201 830206001204 830206004201 830301005201 830302002202 830302006201 830304002102 830304003104 830304005101 830304006103 830304007101 830304009102 830304009104 830304011102 830304011106 830304012106 830304013104 830305002101 830305003101 830305007101 830305007108 830305007112 830305008105 830305010102 830305010108 830305012103 830305013103 830305014106 830305016102 840101002203 840101004201 840103002205 840104001209 840104002216 840104004216 840301001203 840302001101 840302001105 840302001109 840302001112 840302002206 840302003102 840304001102 840304001106 840304001110 840304001113 840304001116 840304001204 840304002210 840304003221 840401002212 840402001205 840501001210 840502002209 840503002201 840504002205 840505002203 840507001201 840507002207 840601003204 840602001205 840603001203 840604003201 840605002203 840606002207 840607001208 840702001204 840703002203 840704002204 840706003205 840802002202 840803006201 840806003203 910102002201 910103001201 910104001201 910104005205 910104007218 910201004207 910302001205 910302002106 910302003204 910303001202 910402004205 910404002202 910405003208 910406003206 910504003204 910505001213 910505003105 910505005202 910505007101 910505007107 910505007205 910505008101 910505008102 910505008111 910505008117 910505008118 910601001207 910602002206 910603002201 910605003203 910703002201 910704001101 910704002104 910704002109 910704003203 910704005203 910802001201 910804004202 910807003204 910903003103 910904003201 911002002202 911003003102 911005001201 920101003202 920104003211 920106005204 920108001203 920202002201 920205006101 920205013102 920205018101 920205018109 920206001111 920206002108 920206002118 920206004105 920208003201 920211001103 920211005102 920211007104 920211010106 920211012104 920212001204 920213001101 920213001201 920301003204 920303001206 920305003202 920402002209 920403004201 920404003204 920405001102 920405002101 920405003103 920405008203 920405009103 920405010106 920501004103 920502001112 920504001204 920601002207 920601008201 920602002211 920603003201 920603005103 920604002201 920604006202 930101001202 930102003201 930103004201 930105002201 930107001103 930107002105 930107005102 930107005110 930201001201 930202003204 930204001201 930205002203 930206003203 930301002202 930302007201 930303005201 930305001203 930306008202 930402006201 930403001201 930403005204 930403008213 930405001201 930405005210 930406004201 930407001202 930501006101 930503001203 930504004201 930504005102 930602006201 930606003205 930608002206 930702002206 930703003201 930704003206 930705005206 930801001204 930802004202 930802007201 930803002203 930804003102 930804003103 930806001201 HH_mapping HH_mapping HH_mapping HH_mapping HH_mapping Household Mapping 440 730 16 33 34 35 37 40 42 45 46 50 52 53 55 60 61 63 65 69 70 71 72 73 75 80 81 82 85 87 88 89 90 91 92 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 118 119 120 123 125 127 129 130 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 149 150 151 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 177 178 179 180 181 182 184 185 186 189 190 191 196 198 199 200 202 203 204 205 206 207 208 209 213 218 220 223 226 227 228 230 232 233 235 240 243 245 248 250 253 259 260 262 264 270 280 283 292 296 327 330 360 372 422 620 730 UrbanRural UrbanRural UrbanRural UrbanRural UrbanRural Urban Rural Location 440 1 2 Mapped Mapped Mapped Mapped Mapped Mapped 440 Y UrbanRural2 UrbanRural2 UrbanRural2 UrbanRural2 UrbanRural2 Urban Rural 2 440 1 HHs_enum HHs_enum HHs_enum HHs_enum HHs_enum Household Enumerator 440 22 2027 22 28 36 37 45 49 51 52 55 56 57 60 64 65 68 70 71 72 74 75 77 78 79 81 84 86 87 88 89 90 91 92 93 94 96 97 98 99 100 101 102 103 104 105 106 107 109 110 111 112 113 114 115 116 117 118 119 121 122 123 124 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 153 154 155 158 159 160 161 162 163 164 165 166 167 169 170 171 172 173 174 175 176 177 178 179 180 181 182 184 186 187 188 189 190 191 192 193 194 195 196 198 199 201 203 204 205 206 207 208 209 210 211 213 214 216 219 220 221 222 224 226 227 228 231 232 233 236 238 240 241 246 247 248 249 250 251 254 255 256 257 258 259 261 265 266 271 272 274 275 276 279 280 285 287 288 289 290 291 292 293 294 297 298 300 302 303 304 307 315 320 323 324 329 334 338 340 345 355 356 358 360 363 364 366 375 381 386 389 392 398 403 421 429 448 454 462 463 474 480 505 506 515 519 521 523 536 547 577 579 591 604 635 655 669 690 753 793 867 921 935 999 1037 1206 1550 1576 1665 2027 Selection Selection Selection Selection Selection Selection 425 15 1 519 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 83 271 519 Sysmiss Sample No. Sample No. Sample No. Sample No. Sample No. Sample Number 388 52 1 28 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Sysmiss in stratum in stratum in stratum in stratum in stratum In stratum 434 6 6476 173181 6476 8245 11765 12720 12785 15047 15231 25718 31769 33160 54378 57009 83839 100364 106182 121584 122587 138479 154869 173181 Sysmiss EAs in stratum EAs in stratum EAs in stratum EAs in stratum EAs in stratum Enumeration area in stratum 434 6 8 36 8 10 11 14 16 20 22 24 28 30 33 34 36 Sysmiss listed in EA listed in EA listed in EA listed in EA listed in EA Listed in enumeration area 434 6 22 2027 22 28 36 37 45 49 51 52 55 56 57 60 64 65 68 70 71 72 74 75 77 78 79 81 84 86 87 88 89 90 91 92 93 94 96 97 98 99 100 101 102 103 104 105 106 107 109 110 111 112 113 114 115 116 117 118 119 121 122 123 124 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 153 154 155 158 159 160 161 162 163 164 165 166 167 169 170 171 172 173 174 175 176 177 178 179 180 181 182 184 186 187 188 189 190 191 192 193 194 195 196 198 199 201 203 204 205 206 207 208 209 210 211 213 214 216 219 220 221 222 224 226 227 228 231 232 233 236 238 240 241 246 247 248 249 250 251 254 255 256 257 258 259 261 265 266 271 272 274 275 276 279 280 285 287 288 289 290 291 292 293 294 297 298 300 302 303 304 307 315 320 323 324 329 334 338 340 345 355 356 358 360 363 364 366 375 381 386 389 392 398 403 421 429 448 454 462 463 474 480 505 506 515 519 521 523 536 547 577 579 591 604 655 669 690 753 793 867 921 935 999 1037 1206 1550 1576 1665 2027 Sysmiss selected in EA selected in EA selected in EA selected in EA selected in EA Selected in enumeration area 434 6 12 Sysmiss Weight Weight Weight Weight Weight Weight 434 6 49.061 460.545 State State State State State State 4421 71 Upper Nile 72 Jonglei 73 Unity 81 Warap 82 Northern Bahr Al Ghazal 83 Western Bahr Al Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster 4421 1 440 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 58 59 60 61 62 63 64 65 67 68 69 71 72 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 188 193 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 216 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 271 273 274 275 277 278 279 280 281 282 286 287 289 290 291 292 293 294 295 296 298 299 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID 4421 1 4969 Item Item Item Item Item Item 4421 45101 45403 45101 45201 45301 45302 45401 45402 45403 Household size Household size Household size Household size Household size Household Size 4421 1 48 Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling Weights 4421 53.967 1518.323 How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of electricity to homes from grid was purchased last 30 days? 4411 10 1 2 Sysmiss How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? 2325 2096 1 40120 How much of [item] was consumed from own stock? How much of [item] was consumed from own stock? How much of [item] was consumed from own stock? How much of [item] was consumed from own stock? How much of [item] was consumed from own stock? How much of [item] was consumed from own stock? 1886 2535 1 50 How much of [item] was consumed from own production? How much of [item] was consumed from own production? How much of [item] was consumed from own production? How much of [item] was consumed from own production? How much of [item] was consumed from own production? How much of [item] was consumed from own production? 2281 2140 0.5 1500 How much of [item] was consumed from gifts and other sources? How much of [item] was consumed from gifts and other sources? How much of [item] was consumed from gifts and other sources? How much of [item] was consumed from gifts and other sources? How much of [item] was consumed from gifts and other sources? How much of [item] was consumed from gifts and other sources? 2207 2214 1 2 3 4 5 6 7 10 Sysmiss If [item] not purchased last 30 days? If [item] not purchased last 30 days? If [item] not purchased last 30 days? If [item] not purchased last 30 days? If [item] not purchased last 30 days? If [item] not purchased last 30 days, but consumed (4-6), what is the estimated unit price? 2186 2235 0.5 2500 How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? 1827 2594 1 50 Quantity consumed Quantity consumed Quantity consumed Quantity consumed Quantity consumed How much of [item] was consumed from own stock? 513 3908 1 121 Quantity Quantity Quantity Quantity Quantity How much of [item] was consumed from own stock? 480 3941 1 49 Quantity consumed Quantity consumed Quantity consumed Quantity consumed Quantity consumed How much of wood fuel was consumed from own production? 1560 2861 1 300 Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) How much wood fuel was consumed from own production? 1554 2867 1 3 4 7 11 12 13 14 15 17 18 Sysmiss Quantity consumed Quantity consumed Quantity consumed Quantity consumed Quantity consumed How much of [item] was consumed from gifts and other sources? 171 4250 1 30 Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) Quantity unit code (code) How much of [item] was consumed from gifts and other sources? 169 4252 1 5 6 11 12 13 Sysmiss Retail price Retail price Retail price Retail price Retail price If [item] not purchased last 30 days, but consumed (4-6), what is the estimated unit price? 2107 2314 0.33 508 Urban Urban Urban Urban Urban 4421 1 Urban 2 Rural 4421 Sysmiss State State State State State State 67348 71 Upper Nile 72 Jonglei 73 Unity 81 Warap 82 Northern Bahr Al Ghazal 83 Western Bahr Al Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster 67348 1 440 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID Household ID 67348 1 4969 Item code Item code Item code Item code Item code Item code 67348 11101 122152 11101 11103 11104 11105 11106 11109 11111 11114 11116 11117 11118 11121 11122 11127 11128 11130 11132 11136 11139 11140 11201 11202 11203 11204 11205 11206 11210 11211 11213 11214 11215 11216 11217 11219 11220 11301 11303 11305 11306 11401 11404 11406 11411 11501 11503 11505 11602 11603 11606 11614 11616 11619 11626 11627 11628 11701 11702 11703 11704 11705 11706 11707 11711 11713 11715 11718 11719 11720 11725 11728 11734 11735 11737 11741 11744 11745 11749 11750 11751 11752 11753 11801 11802 11803 11805 11806 11807 11809 11810 11901 11902 11903 11906 11912 11914 11915 11916 11919 11923 11925 11931 12101 12103 12105 12106 12107 12201 12202 12215 12218 12219 12220 12221 22001 22009 22010 111101 111102 111103 111104 111105 111106 111201 111202 111203 111204 111205 111206 111207 111208 111209 112041 112042 112043 112045 112111 112112 112113 112114 116141 116142 117441 117442 118091 121031 122011 122012 122151 122152 Household size Household size Household size Household size Household size Household size 67348 1 48 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 30 31 36 38 48 Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights 67348 53.967 1697.853 53.9667015075684 58.8726997375488 61.2760009765625 64.7600021362305 66.8466033935547 68.7082977294922 73.5313034057617 76.5417022705078 83.5 90.6606979370117 91.8499984741211 106.541702270508 116.22730255127 125.391700744629 127.849998474121 132.5 136.790893554688 138.166702270508 150.470001220703 165.463500976562 167.188903808594 169.66960144043 180.505706787109 185.094192504883 198.556304931641 203.603607177734 205.487701416016 205.977294921875 224.168395996094 224.702499389648 246.585296630859 247.172698974609 273.983703613281 278.788909912109 300.458312988281 304.13330078125 308.231597900391 320.553192138672 327.772705078125 349.694396972656 352.264709472656 360.549987792969 368.6875 379.580902099609 384.663909912109 400.611114501953 402.204498291016 414.088195800781 424.463195800781 427.404296875 455.497100830078 460.545501708984 463.050811767578 480.829895019531 502.413208007812 506.107788085938 509.355895996094 565.950988769531 569.371276855469 614.060607910156 636.694885253906 641.106506347656 650.710083007812 690.818176269531 727.651306152344 759.161804199219 789.506469726562 910.994079589844 1105.30908203125 1518.32348632812 1697.85290527344 Weekly Quantity purchased Weekly Quantity purchased Weekly Quantity purchased Weekly Quantity purchased Weekly Quantity purchased How much of the purchased [item] was consumed? 36432 30916 0.001 2500 Weekly Quantity consumed from purchase Weekly Quantity consumed from purchase Weekly Quantity consumed from purchase Weekly Quantity consumed from purchase Weekly Quantity consumed from purchase If [item] not purchased last 7 days, but consumed (4-6), what is the estimated unit price? 36674 30674 239.13 Weekly Quantity consumed from own stock Weekly Quantity consumed from own stock Weekly Quantity consumed from own stock Weekly Quantity consumed from own stock Weekly Quantity consumed from own stock How much of [item] was consumed from own stock? 2054 65294 0.001 512.5 Weekly Quantity consumed from own production Weekly Quantity consumed from own production Weekly Quantity consumed from own production Weekly Quantity consumed from own production Weekly Quantity consumed from own production How much of [item] was consumed from own production? 6745 60603 0.002 250 Weekly Quantity consumed from gifts and other sources Weekly Quantity consumed from gifts and other sources Weekly Quantity consumed from gifts and other sources Weekly Quantity consumed from gifts and other sources Weekly Quantity consumed from gifts and other sources How much of [item] was consumed from gifts and other sources? 2141 65207 0.001 100 Unit value Unit value Unit value Unit value Unit value Unit value 29081 38267 0.147 87.5 Weekly Value of consumption for item Weekly Value of consumption for item Weekly Value of consumption for item Weekly Value of consumption for item Weekly Value of consumption for item Weekly Value of consumption for item ? 60843 6505 0.002 245 Urban Urban Urban Urban Urban Urban 67348 1 Urban 2 Rural Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster 4969 1 440 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID 4969 1 4969 State State State State State State 4969 71 Upper Nile 72 Jonglei 73 Unity 81 Warap 82 Northern Bahr Al Ghazal 83 Western Bahr Al Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria Dwelling type Dwelling type Dwelling type Dwelling type Dwelling type What type of dwelling does this household live in? 4969 -9 No response 1 Tent 2 Dwelling from straw mats 3 Tukul/gottya-mud 4 Tukul/gottya-sticks 5 Flat or apartment 6 Villa 7 House of one floor-mud 8 House of one floor -brick/concrete 9 House constructed of wood 10 Multi-storey house 11 Incomplete Total number of rooms Total number of rooms Total number of rooms Total number of rooms Total number of rooms How many rooms does this household have total? 4969 -9 25 Total number of rooms - grouped Total number of rooms - grouped Total number of rooms - grouped Total number of rooms - grouped Total number of rooms - grouped Number of rooms 4969 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Rooms used for sleeping Rooms used for sleeping Rooms used for sleeping Rooms used for sleeping Rooms used for sleeping How many rooms are used for sleeping indoors? 4969 -9 12 Rooms used for sleeping - grouped Rooms used for sleeping - grouped Rooms used for sleeping - grouped Rooms used for sleeping - grouped Rooms used for sleeping - grouped Number of rooms 4969 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Main tenure status of dwelling Main tenure status of dwelling Main tenure status of dwelling Main tenure status of dwelling Main tenure status of dwelling What is the main tenure status of this dwelling? 4969 -9 No response 1 Owned 2 Rented 3 Housing provided as part of work 4 Free Main source of drinking water Main source of drinking water Main source of drinking water Main source of drinking water Main source of drinking water What is the main source of drinking water for this household? 4969 -9 No response 1 Water filtering stations with common network/stand pipe (koshk) 2 Mechanical boreholes with common network/standpipe (koshk) 3 Deep boreholes (donkey) without network 4 Deep boreholes (donkey) with network 5 Hand pumps 6 Sand filters with common network stand pipe (koshk) 7 Shallow wells (dug wells) 8 Hafeer/Dam without filter (still open water) 9 Hafeer/Dam with filter (still open water) 10 Turdal/fula/river (still open water) 11 Running open water source (river, pond, tura’a) 12 Water vendor (tanker-cart-bearer) from deep boreholes 13 Water vendor – from shallow wells pond/river/spring Time needed to walk to water source (minutes) Time needed to walk to water source (minutes) Time needed to walk to water source (minutes) Time needed to walk to water source (minutes) Time needed to walk to water source (minutes) How long time does it usually take to walk (one way) to this main water source from dwelling? 4969 -9 640 -9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 22 23 24 25 26 27 28 29 30 32 33 34 35 36 37 38 39 40 41 42 43 45 46 47 48 49 50 51 54 55 56 58 59 60 62 63 64 65 66 67 68 69 70 75 80 82 83 85 86 88 90 91 95 96 100 110 120 125 130 133 135 148 150 160 180 185 200 240 260 280 300 360 380 640 Time needed to walk to water source (minutes) - grouped Time needed to walk to water source (minutes) - grouped Time needed to walk to water source (minutes) - grouped Time needed to walk to water source (minutes) - grouped Time needed to walk to water source (minutes) - grouped How long time does it usually take to walk (one way) to this main water source from dwelling? 4969 1 `0 2 1-9 3 10-29 4 30-59 5 60+ 6 No response Main energy source for lighting Main energy source for lighting Main energy source for lighting Main energy source for lighting Main energy source for lighting What is the main source of lighting for this household? 4969 -9 No response 1 Public electricity 2 Private electricity (generator) 3 Gas 4 Paraffin lantern 5 Paraffin lamp 6 Firewood 7 Grass 8 Candle wax 9 Solar power 10 Biogas 11 No lighting Main energy source for cooking Main energy source for cooking Main energy source for cooking Main energy source for cooking Main energy source for cooking What is the main source of energy for cooking in this household? 4969 -9 No response 1 Firewood 2 Charcoal 3 Gas 4 Electricity 5 Paraffin 6 Cow dung 7 Grass 8 Biogas 9 No cooking Main type of toilet facility Main type of toilet facility Main type of toilet facility Main type of toilet facility Main type of toilet facility What is the main type of toilet facility used by this household? 4969 -9 No response 1 Pit latrine private 2 Shared pit latrine 3 Private flush toilet 4 Shared flush toilet 5 Bucket toilet 6 No toilet facility Main method for solid waste disposal Main method for solid waste disposal Main method for solid waste disposal Main method for solid waste disposal Main method for solid waste disposal What is the main method of solid waste disposal for this household? 4969 -9 No response 1 Skip bin open 2 Skip bin closed 3 Pit 4 Heap 5 Burning 6 Other Household size Household size Household size Household size Household size Household size 4969 1 48 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 30 31 36 38 48 Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling Weights 4969 53.967 2546.779 53.9667015075684 58.8726997375488 61.2760009765625 64.7600021362305 66.8466033935547 68.7082977294922 73.5313034057617 76.5417022705078 83.5 90.6606979370117 91.8499984741211 106.541702270508 116.22730255127 125.391700744629 132.5 136.790893554688 138.166702270508 142.055603027344 165.463500976562 167.188903808594 169.66960144043 180.505706787109 185.094192504883 188.087493896484 198.556304931641 203.603607177734 205.487701416016 205.977294921875 224.168395996094 224.702499389648 246.585296630859 247.172698974609 273.983703613281 278.788909912109 300.458312988281 304.13330078125 308.231597900391 320.553192138672 327.772705078125 334.546691894531 349.694396972656 352.264709472656 360.549987792969 368.6875 379.580902099609 384.663909912109 400.611114501953 402.204498291016 414.088195800781 424.463195800781 427.404296875 455.497100830078 460.545501708984 463.050811767578 480.829895019531 502.413208007812 506.107788085938 509.355895996094 552.654479980469 565.950988769531 569.371276855469 636.694885253906 641.106506347656 650.710083007812 690.818176269531 727.651306152344 759.161804199219 789.506469726562 910.994079589844 1105.30908203125 1138.74255371094 2546.779296875 Sex Sex Sex Sex Sex Is [Name] male or female? 4967 2 -9 No response 1 Male 2 Female Sysmiss Age Age Age Age Age What is [Name’s] age in completed years? 4965 4 2 99 2 3 4 8 10 11 12 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 92 94 95 99 Sysmiss Education Education Education Education Education Can [Name] read and write with understanding a simple sentence in any language? 4967 2 No schooling 1 Primary 2 Secondary 3 Post-secondary Sysmiss Households main source of livelihood Households main source of livelihood Households main source of livelihood Households main source of livelihood Households main source of livelihood What is the household’s main source of livelihood? 4969 -9 No response 1 Crop farming 2 Animal husbandry 3 Wages and salaries 4 Owned business enterprises 5 Property income 6 Remittances 7 Pension 8 Aid 9 Others Motor vehicles Motor vehicles Motor vehicles Motor vehicles Motor vehicles Does any member of this household own any of the following transport items? Motor vehicle 4966 3 -9 No response 1 Owning 2 Not owning Sysmiss Number of motor vehicles owned Number of motor vehicles owned Number of motor vehicles owned Number of motor vehicles owned Number of motor vehicles owned How many motor vehicles do you have? 162 4807 -9 1 2 3 4 8 Sysmiss Value(SDG) of one motor veichle Value(SDG) of one motor veichle Value(SDG) of one motor veichle Value(SDG) of one motor veichle Value(SDG) of one motor veichle How much would you have to pay if you should buy this item at the market? 165 4804 -9 473500 -9 1 250 280 400 1000 1010 1200 1400 1500 1600 1650 1700 1750 1800 2000 2100 2200 2500 2600 3000 3200 3500 4000 5000 5300 5500 6000 6450 6600 7000 8000 8500 9000 10000 12000 13000 15000 16000 20000 21000 22000 24000 25000 26500 28000 29000 30000 32000 35000 37000 40000 45000 50000 55000 60000 75000 100000 104300 473500 Sysmiss Motor cycle/motor rickshaw Motor cycle/motor rickshaw Motor cycle/motor rickshaw Motor cycle/motor rickshaw Motor cycle/motor rickshaw Does any member of this household own any of the following transport items? Motor cycle/Motor rickshaw 4969 -9 No response 1 Owning 2 Not owning Number of motor cycles/motor rickshaws owned Number of motor cycles/motor rickshaws owned Number of motor cycles/motor rickshaws owned Number of motor cycles/motor rickshaws owned Number of motor cycles/motor rickshaws owned How many motor cycle/motor rickshaw do you have? 251 4718 -9 1 2 3 Sysmiss Value(SDG) for one motor cycle/motor rickshaw Value(SDG) for one motor cycle/motor rickshaw Value(SDG) for one motor cycle/motor rickshaw Value(SDG) for one motor cycle/motor rickshaw Value(SDG) for one motor cycle/motor rickshaw How much would you have to pay if you should buy this item at the market? motor cycle/motor rickshaw 251 4718 -9 8000 -9 1 4 100 150 200 235 600 670 750 800 900 1000 1020 1080 1200 1250 1280 1300 1320 1400 1430 1480 1500 1600 1640 1700 1714 1750 1800 1890 1900 1950 1960 1980 2000 2080 2100 2106 2143 2200 2400 2500 2600 2700 2800 3000 3350 3500 3600 3750 4000 4200 4500 4600 5000 5500 7000 8000 Sysmiss Bicycle Bicycle Bicycle Bicycle Bicycle Does any member of this household own any of the following transport items? Bicycle 4969 -9 No response 1 Owning 2 Not owning Number of bicycles owned Number of bicycles owned Number of bicycles owned Number of bicycles owned Number of bicycles owned How many bicycles do you have? 1453 3516 -9 1 2 3 4 5 6 7 Sysmiss Value (SDG) of one bicycle Value (SDG) of one bicycle Value (SDG) of one bicycle Value (SDG) of one bicycle Value (SDG) of one bicycle How much would you have to pay if you should buy this bicycle at the market? 1453 3516 -9 3002 -9 1 25 30 35 40 50 60 65 70 75 76 78 80 85 90 100 105 110 114 115 120 121 125 126 127 128 130 140 142 143 150 151 158 160 162 164 165 170 175 180 185 186 190 198 200 203 206 210 212 214 215 220 221 225 230 235 240 243 245 250 253 255 256 257 260 264 265 266 270 275 280 285 290 300 303 306 310 320 325 340 346 350 360 370 380 400 415 420 425 450 460 470 480 500 511 520 525 530 540 550 560 600 645 650 700 750 758 800 900 940 950 960 1000 1200 1250 1450 1500 1700 1725 2500 3000 3002 Sysmiss Canoe/boat Canoe/boat Canoe/boat Canoe/boat Canoe/boat Does any member of this household own any of the following transport items? Canoe/boat 4969 -9 No response 1 Owning 2 Not owning Number of canoes/boats owned Number of canoes/boats owned Number of canoes/boats owned Number of canoes/boats owned Number of canoes/boats owned How many Canoe/boats do you have? 87 4882 -9 1 2 3 4 5 Sysmiss Value of one canoe/boat Value of one canoe/boat Value of one canoe/boat Value of one canoe/boat Value of one canoe/boat How much would you have to pay if you should buy this Canoe/boat at the market? 87 4882 -9 201000 -9 1 50 90 100 150 200 225 250 300 400 450 500 600 800 950 1000 1070 1150 1800 2000 2500 3000 4500 5200 10000 12000 15000 15180 18000 40000 60000 201000 Sysmiss Animal used for transport Animal used for transport Animal used for transport Animal used for transport Animal used for transport Does any member of this household own any of the following transport items? Animal used for transport 4969 -9 No response 1 Owning 2 Not owning Number of animals for transport owned Number of animals for transport owned Number of animals for transport owned Number of animals for transport owned Number of animals for transport owned How many animal used for transport do you have? 116 4853 -9 120 -9 1 2 3 4 5 6 7 20 50 60 100 120 Sysmiss Value(SDG) of one animal used for transport Value(SDG) of one animal used for transport Value(SDG) of one animal used for transport Value(SDG) of one animal used for transport Value(SDG) of one animal used for transport How much would you have to pay if you should buy this one animal used for transport at the market? 116 4853 -9 3900 -9 1 70 100 120 140 150 200 210 250 275 280 300 360 400 450 460 500 560 600 700 750 800 850 900 1000 1100 1130 1200 2000 3000 3900 Sysmiss Television(s)/satellite dish(es) Television(s)/satellite dish(es) Television(s)/satellite dish(es) Television(s)/satellite dish(es) Television(s)/satellite dish(es) Does any member of this household own any of the following? Television(s)/satellite dish(es) 4969 -9 No response 1 Owning 2 Not owning Number of televisions/satellite dishes owned Number of televisions/satellite dishes owned Number of televisions/satellite dishes owned Number of televisions/satellite dishes owned Number of televisions/satellite dishes owned How many televisions/satellite dishes do you have ? 332 4637 -9 1 2 3 5 Sysmiss Value of one television/satellite dish owned Value of one television/satellite dish owned Value of one television/satellite dish owned Value of one television/satellite dish owned Value of one television/satellite dish owned How much would you have to pay if you should buy this television(s)/satellite dish(es)at the market? 332 4637 -9 8000 -9 4 30 35 65 80 150 200 240 250 270 300 320 325 340 350 360 375 380 400 420 450 460 500 510 540 550 560 575 580 590 600 650 670 682 700 730 750 800 850 900 980 1000 1020 1025 1100 1125 1130 1170 1200 1250 1300 1400 1450 1500 1600 1700 1800 2000 2500 3000 3400 4000 5000 6000 6500 8000 Sysmiss Radio(s)/transistor(s) Radio(s)/transistor(s) Radio(s)/transistor(s) Radio(s)/transistor(s) Radio(s)/transistor(s) Does any member of this household own any of the following? Radio(s)/transistor(s) ? 4969 -9 No response 1 Owning 2 Not owning Number of radios/transistors owned Number of radios/transistors owned Number of radios/transistors owned Number of radios/transistors owned Number of radios/transistors owned How many radio(s)/transistor(s) do you have ? 1604 3365 -9 15 Value of one radio/transistor owned Value of one radio/transistor owned Value of one radio/transistor owned Value of one radio/transistor owned Value of one radio/transistor owned How much would you have to pay if you should buy this radio(s)/transistor(s) at the market? 1604 3365 -9 5900 -9 5 6 7 8 10 11 15 16 17 18 20 21 22 24 25 26 27 28 29 30 33 35 36 37 40 42 45 46 47 48 50 52 53 55 58 60 65 70 72 75 79 80 84 85 90 100 106 108 110 113 120 125 130 135 140 150 160 170 175 180 190 195 200 205 210 215 220 225 230 240 250 257 260 265 270 275 280 286 290 300 310 315 320 325 335 338 340 350 360 365 370 375 380 385 390 400 415 420 425 440 450 453 460 485 490 500 520 530 550 560 588 600 601 650 700 800 870 900 1000 1200 1620 4000 5900 Sysmiss Phone(s) Phone(s) Phone(s) Phone(s) Phone(s) Does any member of this household own any of the following? Phone(s) 4969 -9 No response 1 Owning 2 Not owning Number of phones owned Number of phones owned Number of phones owned Number of phones owned Number of phones owned How many Phone(s) do you have ? 1292 3677 -9 24 Value of one phone owned Value of one phone owned Value of one phone owned Value of one phone owned Value of one phone owned How much would you have to pay if you should buy this phone(s) at the market? 1292 3677 -9 24400 -9 20 25 30 40 45 50 55 60 65 69 70 75 80 85 90 92 95 100 108 110 115 120 125 128 129 130 135 140 145 150 152 155 160 165 168 170 171 175 180 185 190 200 208 210 212 215 220 225 230 235 240 242 245 250 255 260 270 275 280 285 290 300 303 305 310 320 325 330 335 340 350 360 365 370 380 390 400 415 430 435 440 445 450 466 470 475 480 500 520 550 570 600 612 623 630 640 650 665 680 700 735 750 760 770 775 780 800 810 830 850 860 870 900 922 950 975 990 1000 1032 1090 1100 1120 1150 1200 1245 1280 1320 1335 1350 1450 1500 1550 1600 1700 1800 1850 2000 2180 2350 2700 2800 3000 3200 3400 4000 4500 5000 5520 6200 6550 18000 24400 Sysmiss Computer(s) Computer(s) Computer(s) Computer(s) Computer(s) Does any member of this household own any of the following? computer(s) 4969 -9 No response 1 Owning 2 Not owning Number of computers owned Number of computers owned Number of computers owned Number of computers owned Number of computers owned How many computer(s) do you have ? 79 4890 -9 1 2 3 4 Sysmiss Value of one computer owned Value of one computer owned Value of one computer owned Value of one computer owned Value of one computer owned how much would you have to pay if you should buy this computer(s) at the market? 79 4890 -9 16000 -9 1 10 138 150 155 250 290 700 800 1000 1150 1200 1230 1500 1800 1850 1880 2000 2050 2500 2600 2800 3000 3500 3800 4000 5000 6000 8200 8500 10200 16000 Sysmiss Refrigerator(s) Refrigerator(s) Refrigerator(s) Refrigerator(s) Refrigerator(s) Does any member of this household own any of the following? refrigerator(s) 4969 -9 No response 1 Owning 2 Not owning Number of refrigerators owned Number of refrigerators owned Number of refrigerators owned Number of refrigerators owned Number of refrigerators owned How many refrigerator(s) do you have ? 97 4872 -9 1 2 4 Sysmiss Value of one refrigerator owned Value of one refrigerator owned Value of one refrigerator owned Value of one refrigerator owned Value of one refrigerator owned how much would you have to pay if you should buy refrigerator(s) at the market? 97 4872 -9 22090 -9 1 130 300 375 400 500 600 700 750 759 800 1000 1006 1050 1100 1150 1200 1300 1400 1500 1600 1650 1700 1750 1800 2000 2006 2100 2500 2700 3000 4000 5000 7000 10800 22090 Sysmiss Fan(s) Fan(s) Fan(s) Fan(s) Fan(s) Does any member of this household own any of the following? Fan(s) 4969 -9 No response 1 Owning 2 Not owning Number of fans owned Number of fans owned Number of fans owned Number of fans owned Number of fans owned How many fans do you have ? 126 4843 Value of one fan owned Value of one fan owned Value of one fan owned Value of one fan owned Value of one fan owned How much would you have to pay if you should buy this fan at the market? 126 4843 -9 4000 -9 4 10 15 20 25 30 40 45 50 60 70 75 80 85 100 105 115 125 140 150 160 170 175 200 250 260 275 300 350 370 400 600 900 1500 1900 2600 3000 4000 Sysmiss Air cooler(s)/air conditioner(s) Air cooler(s)/air conditioner(s) Air cooler(s)/air conditioner(s) Air cooler(s)/air conditioner(s) Air cooler(s)/air conditioner(s) Does any member of this household own any of the following? Air cooler(s)/air conditioner(s) 4969 -9 No response 1 Owning 2 Not owning Number of air coolers/air conditioners owned Number of air coolers/air conditioners owned Number of air coolers/air conditioners owned Number of air coolers/air conditioners owned Number of air coolers/air conditioners owned How many air coolers/air conditioners do you have ? 78 4891 -9 1 2 3 4 Sysmiss Value of one air cooler/air conditioner owned Value of one air cooler/air conditioner owned Value of one air cooler/air conditioner owned Value of one air cooler/air conditioner owned Value of one air cooler/air conditioner owned How much would you have to pay if you should buy this item at the market? 78 4891 -9 2700 -9 12 15 25 45 50 75 80 83 115 120 150 200 300 450 500 510 600 2000 2700 Sysmiss Pair(s) of shoes Pair(s) of shoes Pair(s) of shoes Pair(s) of shoes Pair(s) of shoes Does any member of this household own any of the following? pair of shoes? 4969 -9 No response 1 Owning 2 Not owning Number of pair of shoes owned Number of pair of shoes owned Number of pair of shoes owned Number of pair of shoes owned Number of pair of shoes owned How many pair of shoes do you have ? 3024 1945 -9 157 Value of one pair of shoes owned Value of one pair of shoes owned Value of one pair of shoes owned Value of one pair of shoes owned Value of one pair of shoes owned How much would you have to pay if you should buy a pair of shoes at the market? 3024 1945 -9 7000 -9 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 72 73 74 75 76 77 78 79 80 81 82 84 85 86 87 88 90 91 94 95 96 100 101 105 106 107 110 112 115 120 124 125 126 128 130 132 134 135 136 140 142 143 145 149 150 151 152 159 160 162 164 165 166 168 170 172 175 176 177 178 180 185 186 190 194 195 200 204 205 206 210 211 213 215 220 227 230 235 238 240 245 248 250 255 260 262 268 270 274 275 280 300 305 311 315 317 320 328 340 350 360 370 375 380 390 400 420 422 435 440 450 455 465 480 490 500 510 520 550 560 600 612 620 630 650 700 705 715 750 765 767 775 800 810 850 860 873 900 1000 1025 1070 1100 1125 1140 1150 1200 1300 1400 1440 1500 1620 1750 1800 1870 2000 2639 3000 3005 7000 Sysmiss Blanket(s) Blanket(s) Blanket(s) Blanket(s) Blanket(s) Does any member of this household own any of the following, blankets? 4969 -9 No response 1 Owning 2 Not owning Number of blankets owned Number of blankets owned Number of blankets owned Number of blankets owned Number of blankets owned How many blankets do you have ? 2579 2390 -9 24 Value of one blanket owned Value of one blanket owned Value of one blanket owned Value of one blanket owned Value of one blanket owned How much would you have to pay if you should buy the blanket at the market? 2579 2390 -9 4000 -9 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 32 33 34 35 36 37 38 39 40 42 43 45 46 47 48 49 50 54 55 56 57 58 60 62 65 68 70 75 79 80 85 88 90 91 95 96 100 102 105 108 110 120 126 130 132 135 140 145 148 150 155 160 164 165 170 175 180 185 190 200 206 210 220 225 230 240 250 256 260 280 300 320 350 360 370 400 420 440 450 470 480 500 545 650 660 800 1060 1400 2000 4000 Sysmiss Mosquito net(s) Mosquito net(s) Mosquito net(s) Mosquito net(s) Mosquito net(s) Does any member of this household own any of the following, mosquito nets ? 4969 -9 No response 1 Owning 2 Not owning 3 Number of mosquito nets owned Number of mosquito nets owned Number of mosquito nets owned Number of mosquito nets owned Number of mosquito nets owned How many mosquito nets do you have ? 3157 1812 -9 62 Value of one mosquito net owned Value of one mosquito net owned Value of one mosquito net owned Value of one mosquito net owned Value of one mosquito net owned How much would you have to pay if you should buy this mosquito nets at the market? 3157 1812 -9 1200 -9 1 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 21 22 23 24 25 26 27 28 30 31 32 33 34 35 36 38 40 41 43 44 45 46 48 49 50 53 55 56 60 61 64 65 66 67 70 71 72 75 76 77 80 85 90 93 95 98 100 101 105 108 110 120 125 129 130 140 145 150 155 160 164 170 175 180 188 200 210 225 230 240 245 250 300 308 315 330 350 380 400 420 448 450 480 500 568 800 810 1200 Sysmiss Acess to Health Care Facility Acess to Health Care Facility Acess to Health Care Facility Acess to Health Care Facility Acess to Health Care Facility Do members of this household have access to any health care facility when sick? 4969 -9 No response 1 Yes 2 No Type of Health Care Facility Type of Health Care Facility Type of Health Care Facility Type of Health Care Facility Type of Health Care Facility What type of health care facility do members of this household visit most often when sick? 3722 1247 -9 No response 1 Primary Health Care Unit 2 Primary Health Care Centre 3 Public Hospital 4 Private Hospital/Clinic 5 Pharmacy/Drug Store 6 No Medical help available 7 Other Sysmiss Free Health Care Free Health Care Free Health Care Free Health Care Free Health Care Does the facility provide free health care? 3682 1287 -9 No response 1 Yes 2 No Sysmiss Time to reach Health Care Facility Time to reach Health Care Facility Time to reach Health Care Facility Time to reach Health Care Facility Time to reach Health Care Facility How long does it take members of this household to reach the above mentioned (I2) health facility? 3682 1287 -9 No response 1 Less than 15 minutes 2 15-29 minutes 3 30-59 minutes 4 1-2 hours 5 More than 2 hours Sysmiss If no access to Health Care Facility, main type of medical help If no access to Health Care Facility, main type of medical help If no access to Health Care Facility, main type of medical help If no access to Health Care Facility, main type of medical help If no access to Health Care Facility, main type of medical help If members of this household do not usually visit any of the facilities above mentioned (J2), what is the main type of medical help you seek when sick? 1290 3679 -9 No response 1 Religous healer 2 Witch Doctor 3 Traditional Doctor 4 Relative/Friend/Neighbour 5 Other Sysmiss Own Bed/Mosquito Net Own Bed/Mosquito Net Own Bed/Mosquito Net Own Bed/Mosquito Net Own Bed/Mosquito Net Does this household have any bed-/mosquito-nets? 4969 -9 No response 1 Yes 2 No Number of Bed/Mosquito Nets Number of Bed/Mosquito Nets Number of Bed/Mosquito Nets Number of Bed/Mosquito Nets Number of Bed/Mosquito Nets How many bed-/mosquito-nets does this household have? 3122 1847 -9 No response Head of the Household sleeps under Mosquito net Head of the Household sleeps under Mosquito net Head of the Household sleeps under Mosquito net Head of the Household sleeps under Mosquito net Head of the Household sleeps under Mosquito net Who do usually sleep under these bed-/mosquito-net(s)? Head of household 2635 2334 -9 No response 1 Yes Sysmiss Pregnant Mothers sleep under Mosquito net Pregnant Mothers sleep under Mosquito net Pregnant Mothers sleep under Mosquito net Pregnant Mothers sleep under Mosquito net Pregnant Mothers sleep under Mosquito net Who do usually sleep under these bed-/mosquito-net(s)? Pregnant mothers 1338 3631 -9 No response 1 Yes Sysmiss Children under 5 sleep under Mosquito net Children under 5 sleep under Mosquito net Children under 5 sleep under Mosquito net Children under 5 sleep under Mosquito net Children under 5 sleep under Mosquito net Who do usually sleep under these bed-/mosquito-net(s)? Children under five 2067 2902 -9 No response 1 Yes Sysmiss Others sleep under Mosquito net Others sleep under Mosquito net Others sleep under Mosquito net Others sleep under Mosquito net Others sleep under Mosquito net Who do usually sleep under these bed-/mosquito-net(s)? Other 1299 3670 -9 No response 1 Yes Sysmiss Has the Mosquito net been chemically treated in the last 12 months Has the Mosquito net been chemically treated in the last 12 months Has the Mosquito net been chemically treated in the last 12 months Has the Mosquito net been chemically treated in the last 12 months Has the Mosquito net been chemically treated in the last 12 months Have these bed-/mosquito-net(s) been treated with chemicals less than 12 months ago? 3156 1813 -9 No response 1 Yes 2 No Sysmiss Where did the household acquire the Mosquito nets from? Where did the household acquire the Mosquito nets from? Where did the household acquire the Mosquito nets from? Where did the household acquire the Mosquito nets from? Where did the household acquire the Mosquito nets from? Where did the household acquire these bed-/mosquito-net(s)? 3149 1820 -9 No response 1 Free from health facility 2 Bought from the market 3 Other Sysmiss Received cash/goods from food aid programs Received cash/goods from food aid programs Received cash/goods from food aid programs Received cash/goods from food aid programs Received cash/goods from food aid programs Has the household received cash or goods from food aid programs in the last 12 months? 4969 -9 No response 1 Received 2 Not received aid Value of cash received from food aid programs(SDG) Value of cash received from food aid programs(SDG) Value of cash received from food aid programs(SDG) Value of cash received from food aid programs(SDG) Value of cash received from food aid programs(SDG) What is the value of cash and kind received in the last 12 months? 209 4760 -9 5400 -9 1 2 4 5 6 10 12 15 20 25 40 45 48 50 55 60 70 75 80 100 120 140 150 170 180 200 240 250 300 350 480 500 700 800 1000 1500 1800 2000 3360 5400 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG without decimals) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 209 4760 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Value of kind received from food aid programs(SDG) Value of kind received from food aid programs(SDG) Value of kind received from food aid programs(SDG) Value of kind received from food aid programs(SDG) Value of kind received from food aid programs(SDG) How much would you have to pay if you should buy similar kind at the market? 171 4798 -9 2000 -9 1 2 5 6 8 10 14 15 16 17 18 20 23 24 25 27 30 34 35 40 43 46 50 55 59 60 65 67 70 80 86 90 100 112 115 120 130 140 150 160 170 180 200 240 280 300 400 420 480 540 688 2000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped How much would you have to pay if you should buy similar kind at the market? 171 4798 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Received cash/goods from other government benefits Received cash/goods from other government benefits Received cash/goods from other government benefits Received cash/goods from other government benefits Received cash/goods from other government benefits Has the household received cash or goods from other government benefit in the last 12 months? 4969 -9 No response 1 Received 2 Not received Value of cash received from government benefits (SDG) Value of cash received from government benefits (SDG) Value of cash received from government benefits (SDG) Value of cash received from government benefits (SDG) Value of cash received from government benefits (SDG) What is the value of cash and kind received in the last 12 months? 131 4838 -9 121392 -9 1 2 7 8 12 15 20 50 55 60 65 70 76 80 95 100 120 130 150 153 180 200 250 300 327 350 400 500 600 850 1000 1200 1500 1800 2000 2098 2100 3000 3600 3840 4000 4920 6000 8400 8900 9000 10250 15000 121392 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped How much would you have to pay if you should buy similar kind at the market? 131 4838 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Value of kind received from government benefits (SDG) Value of kind received from government benefits (SDG) Value of kind received from government benefits (SDG) Value of kind received from government benefits (SDG) Value of kind received from government benefits (SDG) Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 72 4897 -9 3500 -9 1 6 7 8 10 15 20 25 30 35 40 50 55 60 70 75 80 100 120 150 160 170 200 280 300 400 640 3500 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 72 4897 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Received cash/goods from other NGO/Charity scheme Received cash/goods from other NGO/Charity scheme Received cash/goods from other NGO/Charity scheme Received cash/goods from other NGO/Charity scheme Received cash/goods from other NGO/Charity scheme Has the household received cash or goods from other NGO/Charity scheme in the last 12 months? 4969 -9 No response 1 Received 2 Not received Value of cash received from NGO/charity schemes (SDG) Value of cash received from NGO/charity schemes (SDG) Value of cash received from NGO/charity schemes (SDG) Value of cash received from NGO/charity schemes (SDG) Value of cash received from NGO/charity schemes (SDG) What is the value of cash and kind received in the last 12 months? 201 4768 -9 5400 -9 1 5 6 8 10 15 20 23 25 30 35 40 50 60 65 90 100 110 120 150 160 210 250 300 400 1000 2000 5400 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 201 4768 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Value of kind received from NGO/charity schemes (SDG) Value of kind received from NGO/charity schemes (SDG) Value of kind received from NGO/charity schemes (SDG) Value of kind received from NGO/charity schemes (SDG) Value of kind received from NGO/charity schemes (SDG) Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 157 4812 -9 2500 -9 1 2 5 10 12 15 16 20 24 25 30 34 35 40 50 55 60 65 85 100 105 120 150 152 170 185 200 250 280 285 300 310 360 450 500 546 550 1000 2500 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 157 4812 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Received cash/goods fromindividuals outside the household Received cash/goods fromindividuals outside the household Received cash/goods fromindividuals outside the household Received cash/goods fromindividuals outside the household Received cash/goods fromindividuals outside the household Has the household received cash or goods from individuals outside the household in the last 12 months? 4969 -9 No response 1 Received 2 Not received Value of cash received from individuals outside the household (SDG) Value of cash received from individuals outside the household (SDG) Value of cash received from individuals outside the household (SDG) Value of cash received from individuals outside the household (SDG) Value of cash received from individuals outside the household (SDG) What is the value of cash and kind received in the last 12 months? 354 4615 -9 12000 Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 354 4615 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Value of kind received from individuals outside the household (SDG) Value of kind received from individuals outside the household (SDG) Value of kind received from individuals outside the household (SDG) Value of kind received from individuals outside the household (SDG) Value of kind received from individuals outside the household (SDG) Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 159 4810 -9 600260 -9 4 5 6 8 9 10 15 16 20 25 30 35 40 45 47 50 60 65 70 75 80 85 90 95 100 110 120 130 140 150 180 200 205 210 240 250 300 350 400 420 490 500 900 1100 1200 1260 600260 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 159 4810 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Received cash/goods from other groups n.e.s. Received cash/goods from other groups n.e.s. Received cash/goods from other groups n.e.s. Received cash/goods from other groups n.e.s. Received cash/goods from other groups n.e.s. Has the household received cash or goods from other groups in the last 12 months? 4969 -9 No response 1 Received 2 Not received Value of cash received from other groups n.e.s.(SDG) Value of cash received from other groups n.e.s.(SDG) Value of cash received from other groups n.e.s.(SDG) Value of cash received from other groups n.e.s.(SDG) Value of cash received from other groups n.e.s.(SDG) What is the value of cash and kind received in the last 12 months? 105 4864 -9 6000 -9 1 10 11 20 40 50 60 100 150 200 202 210 250 260 290 300 500 556 1000 3000 4000 6000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 105 4864 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Value of kind received from other groups n.e.s.(SDG) Value of kind received from other groups n.e.s.(SDG) Value of kind received from other groups n.e.s.(SDG) Value of kind received from other groups n.e.s.(SDG) Value of kind received from other groups n.e.s.(SDG) Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 75 4894 -9 3000 -9 1 10 14 15 20 30 40 50 60 65 100 120 140 150 200 290 340 550 596 3000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) of kind received i.e. how much would you have to pay if you should buy similar kind at the market? 75 4894 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Household by use of cash last 7 days Household by use of cash last 7 days Household by use of cash last 7 days Household by use of cash last 7 days Household by use of cash last 7 days Has any member of this household used cash in the past 7 days? 4969 -9 No response 1 Used cash 2 Not used cash Household by any use of cash to obtain goods for the household that the househol Household by any use of cash to obtain goods for the household that the househol Household by any use of cash to obtain goods for the household that the househol Household by any use of cash to obtain goods for the household that the househol Household by any use of cash to obtain goods for the household that the househol Does any member of this household use cash for obtaining goods for the household that the household does not produce it self? 4969 -9 No response 1 Used cash 2 Not used cash Households not using cash by how they obtain goods that the household doesnt pro Households not using cash by how they obtain goods that the household doesnt pro Households not using cash by how they obtain goods that the household doesnt pro Households not using cash by how they obtain goods that the household doesnt pro Households not using cash by how they obtain goods that the household doesnt pro If not using cash, how does the household obtain such goods? 2156 2813 -9 No response 1 Barter 2 Not need for other goods 3 Other Sysmiss Household by any member borrowing/obtained money that has to be repaid Household by any member borrowing/obtained money that has to be repaid Household by any member borrowing/obtained money that has to be repaid Household by any member borrowing/obtained money that has to be repaid Household by any member borrowing/obtained money that has to be repaid In the last 12 months has any member of the household borrowed or obtained money that he/she had to repay? 4969 -9 No response 1 Borrowed/obtained 2 Not borrowed/obtained Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Who did the household borrow from in the last 12 months? Family and/or other individuals 1004 3965 -9 No response 1 Family/other individuals Sysmiss Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Who did the household borrow from in the last 12 months ? Banks and Government agencies 130 4839 -9 No response 1 Banks/Government agengie Sysmiss Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Who did the household borrow from in the last 12 months ? NGOs or Microfinance institutions 137 4832 -9 No response 1 NGO/Micro finance institutions Sysmiss Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Who did the household borrow from in the last 12 months ? Pawning own belongings 135 4834 -9 No response 1 Pawning own belongings Sysmiss Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Source of money borrowed last 12 months Who did the household borrow from in the last 12 months? Employer or landlord 143 4826 -9 No response 1 Employer or landlord Sysmiss Value of money borrowed last 12 months(SDG) Value of money borrowed last 12 months(SDG) Value of money borrowed last 12 months(SDG) Value of money borrowed last 12 months(SDG) Value of money borrowed last 12 months(SDG) How much money did the household borrow the last 12 months? 1104 3865 -9 1600000 -9 1 2 5 8 9 10 12 15 19 20 23 24 25 26 27 30 32 35 40 45 49 50 55 60 65 70 75 80 85 87 90 95 100 110 112 115 120 123 130 135 140 150 151 153 157 158 160 161 170 175 180 190 200 210 220 240 245 250 260 275 280 285 290 300 303 310 330 340 350 356 360 370 380 400 403 420 428 430 445 450 480 500 520 540 550 555 570 575 588 600 606 630 700 720 730 750 800 820 866 900 920 940 950 980 1000 1008 1010 1020 1050 1200 1210 1300 1400 1500 1600 1700 1800 1900 2000 2200 2300 2500 2800 3000 3500 3750 4000 4730 5000 6000 10000 12000 16000 50000 60000 75500 1600000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped How much money did the household borrow the last 12 months? 1104 3865 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Main reason for borrowing money last 12 months Main reason for borrowing money last 12 months Main reason for borrowing money last 12 months Main reason for borrowing money last 12 months Main reason for borrowing money last 12 months What is the main reason for borrowing or obtaining this loan? Farm inputs 116 4853 -9 No response 1 Farm inputs Sysmiss Buy heavy equipment Buy heavy equipment Buy heavy equipment Buy heavy equipment Buy heavy equipment What is the main reason for borrowing or obtaining this loan? Buy heavy equipment 93 4876 -9 No response 1 Buy heavy equipment Sysmiss Buy other equipment Buy other equipment Buy other equipment Buy other equipment Buy other equipment What is the main reason for borrowing or obtaining this loan? Buy other equipment 141 4828 -9 No response 1 Buy other equipment Sysmiss Buy animals Buy animals Buy animals Buy animals Buy animals What is the main reason for borrowing or obtaining this loan? Buy animals 110 4859 -9 No response 1 Buy animals Sysmiss Buy agricultural land Buy agricultural land Buy agricultural land Buy agricultural land Buy agricultural land What is the main reason for borrowing or obtaining this loan? Buy agricultural land 88 4881 -9 No response 1 Buy agricultural land Sysmiss Other agricultural costs Other agricultural costs Other agricultural costs Other agricultural costs Other agricultural costs What is the main reason for borrowing or obtaining this loan? Other agricultural costs 123 4846 -9 No response 1 Other agricultural costs Sysmiss Working capital and purchase of inputs Working capital and purchase of inputs Working capital and purchase of inputs Working capital and purchase of inputs Working capital and purchase of inputs What is the main reason for borrowing or obtaining this loan? Working capital and purchase of inputs 118 4851 -9 No response 1 Working capital/purchase of inputs Sysmiss Land and/or building equipment Land and/or building equipment Land and/or building equipment Land and/or building equipment Land and/or building equipment What is the main reason for borrowing or obtaining this loan? Land and/or building equipment 111 4858 -9 No response 1 Land and/or building equipment Sysmiss Other business expenses Other business expenses Other business expenses Other business expenses Other business expenses What is the main reason for borrowing or obtaining this loan? Other business expenses 138 4831 -9 No response 1 Other business expenses Sysmiss Consumption needs Consumption needs Consumption needs Consumption needs Consumption needs What is the main reason for borrowing or obtaining this loan? Consumption needs 728 4241 -9 No response 1 Consumption needs Sysmiss Purchase and improvement of dwelling Purchase and improvement of dwelling Purchase and improvement of dwelling Purchase and improvement of dwelling Purchase and improvement of dwelling What is the main reason for borrowing or obtaining this loan? Purchase and improvement of dwelling 183 4786 -9 No response 1 Purchase and improvement of dwelling Sysmiss Religious, wedding, buria Religious, wedding, buria Religious, wedding, buria Religious, wedding, buria Religious, wedding, buria What is the main reason for borrowing or obtaining this loan? Religious, wedding, burial 112 4857 -9 No response 1 Religious, wedding, burial Sysmiss Consumer durables Consumer durables Consumer durables Consumer durables Consumer durables What is the main reason for borrowing or obtaining this loan? Consumer durables 103 4866 -9 No response 1 Consumer durables Sysmiss On-lending On-lending On-lending On-lending On-lending What is the main reason for borrowing or obtaining this loan? On-lending 90 4879 -9 No response 1 On-lending Sysmiss Other Other Other Other Other What is the main reason for borrowing or obtaining this loan? Other 174 4795 -9 No response 1 Other n.e.s Sysmiss No need No need No need No need No need Why has no members of the household borrowed money in the last 12 months? No need 1476 3493 -9 No response 1 No need Sysmiss Believed I would be refused Believed I would be refused Believed I would be refused Believed I would be refused Believed I would be refused Why has no members of the household borrowed money in the last 12 months? Believed I would be refused 1337 3632 -9 No response 1 Fear of beeing refused Sysmiss Too expensive Too expensive Too expensive Too expensive Too expensive Why has no members of the household borrowed money in the last 12 months? Too expensive 1021 3948 -9 No response 1 Too expensive Sysmiss Inadequate collateral Inadequate collateral Inadequate collateral Inadequate collateral Inadequate collateral Why has no members of the household borrowed money in the last 12 months? Inadequate collateral 752 4217 -9 1 Inadequat collateral Sysmiss Do not like to be in debt Do not like to be in debt Do not like to be in debt Do not like to be in debt Do not like to be in debt Why has no members of the household borrowed money in the last 12 months? Do not like to be in debt 1487 3482 -9 No response 1 Do not like to be in dept Sysmiss Do not know any lender Do not know any lender Do not know any lender Do not know any lender Do not know any lender Why has no members of the household borrowed money in the last 12 months? Do not know any lender 1131 3838 -9 No response 1 Do not know any lender Sysmiss Attempted to borrow but was refused Attempted to borrow but was refused Attempted to borrow but was refused Attempted to borrow but was refused Attempted to borrow but was refused Why has no members of the household borrowed money in the last 12 months? Attempted to borrow but was refused 533 4436 -9 No response 1 Refused Sysmiss Because in debt Because in debt Because in debt Because in debt Because in debt Why has no members of the household borrowed money in the last 12 months? Because in debt 76 4893 -9 No response 1 Beacuse already in dept Sysmiss Other Other Other Other Other Why has no members of the household borrowed money in the last 12 months? Other 463 4506 -9 No response 1 Other n.e.s Sysmiss Household by having bank-/postal saving account Household by having bank-/postal saving account Household by having bank-/postal saving account Household by having bank-/postal saving account Household by having bank-/postal saving account Does any member of the household have a bank account or a postal savings account? 4969 -9 No response 1 Having an account 2 Not having an account Households affected by drought or floods in the past 5 years Households affected by drought or floods in the past 5 years Households affected by drought or floods in the past 5 years Households affected by drought or floods in the past 5 years Households affected by drought or floods in the past 5 years Over the past five years, was the household severely affected by any of the following events? Drought or Floods 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of drought/flood over the past 5 years Households by ranked significance of drought/flood over the past 5 years Households by ranked significance of drought/flood over the past 5 years Households by ranked significance of drought/flood over the past 5 years Households by ranked significance of drought/flood over the past 5 years Over the past five years, was the household severely affected by any of the following events? Crop disease or pests 2390 2579 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of drought/flood damage over the past 5 years Households by value(SDG) of drought/flood damage over the past 5 years Households by value(SDG) of drought/flood damage over the past 5 years Households by value(SDG) of drought/flood damage over the past 5 years Households by value(SDG) of drought/flood damage over the past 5 years Estimated Value of the most significant shocks (SDG) Drought or Floods 2434 2535 -9 150000 -9 1 7 10 13 15 16 20 23 25 26 30 39 40 42 45 48 50 52 54 55 57 58 59 60 65 70 75 80 85 88 90 100 102 104 105 106 108 109 110 112 114 115 119 120 122 130 140 145 150 151 155 156 160 162 170 175 180 183 185 188 190 193 200 202 208 210 220 225 230 235 240 245 246 250 255 256 260 270 275 276 280 285 290 295 298 300 308 315 320 321 325 330 340 350 355 360 370 375 380 385 390 396 397 400 409 410 412 415 420 425 430 440 450 457 460 470 480 490 500 505 510 516 520 525 530 540 541 550 555 565 570 600 605 640 650 655 656 659 660 665 675 676 680 690 695 700 715 718 720 725 750 770 775 786 790 800 810 847 850 868 870 880 888 899 900 903 910 920 925 930 950 960 980 1000 1006 1009 1010 1040 1050 1080 1090 1100 1106 1108 1110 1130 1140 1150 1180 1200 1205 1210 1240 1250 1260 1300 1310 1350 1370 1380 1390 1400 1440 1445 1460 1475 1500 1550 1590 1600 1620 1655 1659 1660 1673 1700 1770 1780 1800 1850 1880 1890 1900 1920 1960 1970 1972 2000 2068 2080 2100 2150 2190 2200 2250 2300 2400 2460 2500 2520 2540 2550 2569 2650 2660 2670 2677 2690 2750 2780 2800 3000 3126 3200 3260 3290 3300 3450 3500 3600 3750 4000 4200 4500 4620 4800 5000 5001 5012 5100 5400 5600 6000 6080 6180 6500 6642 6819 6900 6990 7000 7200 7500 7700 8000 8065 9000 10000 10009 10500 10855 11000 12000 12500 12700 14000 20000 25000 32000 37400 45000 50000 80000 150000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) drought or Floods ? 2434 2535 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by drought or floods in the past 5 years by coping strategy Households affected by drought or floods in the past 5 years by coping strategy Households affected by drought or floods in the past 5 years by coping strategy Households affected by drought or floods in the past 5 years by coping strategy Households affected by drought or floods in the past 5 years by coping strategy Over the past five years, was the household severely affected by any of the following events, drought or Floods ? 2434 2535 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affected by crop diseases or pest in the past 5 years Households affected by crop diseases or pest in the past 5 years Households affected by crop diseases or pest in the past 5 years Households affected by crop diseases or pest in the past 5 years Households affected by crop diseases or pest in the past 5 years Over the past five years, was the household severely affected by any of the following events, crop disease or pests ? 4969 -9 No response 1 Affected 2 Affected Households by ranked significance of crop disease/pests over the past 5 years Households by ranked significance of crop disease/pests over the past 5 years Households by ranked significance of crop disease/pests over the past 5 years Households by ranked significance of crop disease/pests over the past 5 years Households by ranked significance of crop disease/pests over the past 5 years Over the past five years, was the household severely affected by any of the following events, crop disease or pests ? 1745 3224 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of crop desease/pests damage over the past 5 years Households by value(SDG) of crop desease/pests damage over the past 5 years Households by value(SDG) of crop desease/pests damage over the past 5 years Households by value(SDG) of crop desease/pests damage over the past 5 years Households by value(SDG) of crop desease/pests damage over the past 5 years Estimated Value of the most significant shocks (SDG) crop disease or pests ? 1798 3171 -9 500000 -9 1 2 5 6 7 8 10 12 15 16 19 20 24 25 30 33 35 40 43 45 49 50 55 57 60 64 65 70 75 80 85 90 95 97 100 102 105 106 110 114 115 116 120 122 125 128 130 140 142 143 145 150 155 157 160 162 163 170 173 175 180 185 188 190 192 200 210 215 220 230 233 240 248 250 255 260 266 270 271 278 280 290 292 293 300 303 310 320 332 340 350 353 360 370 373 375 380 384 390 395 400 409 420 423 428 435 440 450 455 457 460 475 480 490 500 505 510 538 540 550 560 565 580 600 620 624 638 640 650 660 670 680 700 720 750 755 756 760 769 770 780 800 840 850 880 900 960 980 1000 1010 1050 1088 1100 1150 1200 1250 1280 1300 1312 1350 1360 1400 1426 1440 1450 1460 1500 1550 1560 1578 1600 1609 1660 1690 1700 1710 1750 1800 1826 1870 1900 1970 2000 2009 2017 2030 2080 2160 2200 2300 2328 2400 2500 2560 2565 2620 2676 2700 2900 3000 3120 3400 3500 3585 3750 4000 4007 4050 4125 4200 4500 4700 5000 5200 5800 6000 7000 7200 7500 8000 8800 9152 9250 10000 11080 12000 15000 17506 18000 20000 22500 30000 300000 500000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) crop disease or pests ? 1798 3171 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by crop diseases or pest in the past b5 years by coping stra Households affected by crop diseases or pest in the past b5 years by coping stra Households affected by crop diseases or pest in the past b5 years by coping stra Households affected by crop diseases or pest in the past b5 years by coping stra Households affected by crop diseases or pest in the past b5 years by coping stra Over the past five years, was the household severely affected by any of the following events, crop disease or pests ? 1798 3171 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affected by livestock died or stolen in the past 5 years Households affected by livestock died or stolen in the past 5 years Households affected by livestock died or stolen in the past 5 years Households affected by livestock died or stolen in the past 5 years Households affected by livestock died or stolen in the past 5 years Over the past five years, was the household severely affected by any of the following events, Livestock died or stolen ? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of livestock died or stolen over the past 5 ye Households by ranked significance of livestock died or stolen over the past 5 ye Households by ranked significance of livestock died or stolen over the past 5 ye Households by ranked significance of livestock died or stolen over the past 5 ye Households by ranked significance of livestock died or stolen over the past 5 ye Over the past five years, was the household severely affected by any of the following events? Livestock died or stolen 2055 2914 -9 No response 1 2 Medium affected (2) 3 Little affected(3) 11 Highly Affected(1) Sysmiss Households by value(SDG) of livestock died or stolen over the past 5 years Households by value(SDG) of livestock died or stolen over the past 5 years Households by value(SDG) of livestock died or stolen over the past 5 years Households by value(SDG) of livestock died or stolen over the past 5 years Households by value(SDG) of livestock died or stolen over the past 5 years Estimated Value of the most significant shocks (SDG) Livestock died or stolen ? 2101 2868 -9 477400 -9 1 3 5 7 8 10 12 15 19 20 22 25 30 35 36 40 45 46 50 55 60 68 70 75 80 84 85 90 95 100 101 103 108 110 120 123 125 130 135 140 145 150 155 160 165 170 171 175 178 180 183 190 196 200 205 206 210 214 220 225 230 240 245 250 251 255 256 260 270 280 285 290 300 301 310 314 315 320 330 335 340 342 350 360 375 380 385 390 400 405 408 409 410 420 438 450 459 460 470 480 486 490 500 510 525 530 540 550 551 560 565 570 580 600 603 630 642 650 656 660 700 703 720 740 750 760 775 780 790 800 808 830 850 860 865 880 890 896 900 925 960 1000 1005 1009 1010 1018 1035 1050 1100 1110 1150 1152 1160 1170 1180 1190 1200 1220 1250 1260 1280 1300 1335 1350 1370 1400 1450 1470 1500 1502 1509 1510 1540 1600 1612 1628 1650 1675 1680 1700 1776 1800 1850 1875 1900 1903 2000 2003 2009 2040 2100 2166 2180 2200 2260 2300 2330 2350 2400 2420 2500 2590 2600 2700 2750 2800 2900 3000 3050 3100 3114 3140 3150 3200 3400 3428 3500 3509 3600 3700 3750 3790 3800 3900 3930 4000 4110 4200 4250 4258 4280 4300 4350 4395 4400 4500 4550 4600 4700 4750 4800 5000 5100 5220 5320 5500 5600 5608 5650 5800 5870 6000 6200 6250 6300 6400 6500 6700 6725 6800 7000 7050 7100 7200 7400 7500 7600 7659 7765 7800 7850 8000 8001 8100 8200 8250 8400 8500 8800 9000 9500 9700 9850 10000 10001 10022 10030 10100 10500 10900 11000 11263 11700 12000 12050 12200 12500 12750 13070 14000 14500 15000 15100 15300 15500 16000 17000 18000 18400 19200 19250 19800 20000 20080 20100 21000 24000 25000 25251 27000 28000 29000 30000 31500 32000 32300 34000 34100 35000 37000 37500 40000 41000 44000 45000 46000 50000 54600 56000 58800 60000 65000 68300 70000 75800 76010 76600 87360 90000 100000 105000 110000 162160 168000 180000 187120 250000 310000 430005 477400 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) Livestock died or stolen ? 2101 2868 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by livestock died or stolen in the past 5 years by coping st Households affected by livestock died or stolen in the past 5 years by coping st Households affected by livestock died or stolen in the past 5 years by coping st Households affected by livestock died or stolen in the past 5 years by coping st Households affected by livestock died or stolen in the past 5 years by coping st Over the past five years, was the household severely affected by any of the following events, Livestock died or stolen ? 2101 2868 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affected by illness or accidents of members in the past 5 years Households affected by illness or accidents of members in the past 5 years Households affected by illness or accidents of members in the past 5 years Households affected by illness or accidents of members in the past 5 years Households affected by illness or accidents of members in the past 5 years Over the past five years, was the household severely affected by any of the following events, Severe illness or accident of household member? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of illness or accidents of members over the pa Households by ranked significance of illness or accidents of members over the pa Households by ranked significance of illness or accidents of members over the pa Households by ranked significance of illness or accidents of members over the pa Households by ranked significance of illness or accidents of members over the pa Over the past five years, was the household severely affected by any of the following events? severe illness or accident of household member ? 1788 3181 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to illness or accidents of members over t Households by value(SDG) of damage due to illness or accidents of members over t Households by value(SDG) of damage due to illness or accidents of members over t Households by value(SDG) of damage due to illness or accidents of members over t Households by value(SDG) of damage due to illness or accidents of members over t Over the past five years, was the household severely affected by any of the following events, severe illness or accident of household member? 1827 3142 -9 66300 -9 3 5 8 10 15 20 21 25 26 28 30 34 35 40 45 50 55 57 60 63 65 68 70 75 80 85 88 90 95 98 100 101 105 110 115 118 120 123 125 130 140 143 150 151 160 165 170 175 176 180 182 188 200 201 203 206 210 220 225 230 240 242 250 255 256 257 260 265 270 278 280 287 290 300 320 340 350 352 360 365 370 375 380 385 390 400 418 420 425 440 450 456 465 470 471 475 480 485 500 510 520 530 540 550 560 580 600 648 650 680 682 688 700 705 720 730 750 762 770 780 786 791 800 850 864 880 890 900 906 920 950 973 975 980 1000 1009 1015 1020 1050 1070 1080 1090 1100 1105 1120 1130 1150 1200 1218 1225 1250 1260 1300 1320 1400 1450 1460 1500 1503 1525 1584 1600 1700 1795 1800 1845 1850 1866 1900 2000 2008 2100 2116 2180 2250 2260 2300 2320 2393 2400 2500 2550 2600 2650 2800 2962 3000 3200 3340 3500 3600 3745 3810 3850 4000 4400 4500 5000 5006 5090 5710 5800 6000 6050 6500 6800 7000 7169 7450 7520 7556 7561 7720 8000 8090 8400 8750 8800 9000 9409 10000 13000 15000 20000 25000 30000 40500 66300 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) Severe illness or accident of household member ? 1827 3142 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by illness or accidents of members in the past 5 years by co Households affected by illness or accidents of members in the past 5 years by co Households affected by illness or accidents of members in the past 5 years by co Households affected by illness or accidents of members in the past 5 years by co Households affected by illness or accidents of members in the past 5 years by co Over the past five years, was the household severely affected by any of the following events, Severe illness or accident of household member ? 1827 3142 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affected by death of members in the past 5 years Households affected by death of members in the past 5 years Households affected by death of members in the past 5 years Households affected by death of members in the past 5 years Households affected by death of members in the past 5 years Over the past five years, was the household severely affected by any of the following events, death of household member ? 4969 -9 No response 1 Affceted 2 Not affected Households by ranked significance of death of members over the past 5 years Households by ranked significance of death of members over the past 5 years Households by ranked significance of death of members over the past 5 years Households by ranked significance of death of members over the past 5 years Households by ranked significance of death of members over the past 5 years Over the past five years, was the household severely affected by any of the following events? death of household member ? 1702 3267 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to death of members over the past 5 years Households by value(SDG) of damage due to death of members over the past 5 years Households by value(SDG) of damage due to death of members over the past 5 years Households by value(SDG) of damage due to death of members over the past 5 years Households by value(SDG) of damage due to death of members over the past 5 years Over the past five years, was the household severely affected by any of the following events, severe illness or accident of household member? 1735 3234 -9 650000 Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) severe illness or accident of household member? 1735 3234 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by death of members in the past 5 years by coping strategy Households affected by death of members in the past 5 years by coping strategy Households affected by death of members in the past 5 years by coping strategy Households affected by death of members in the past 5 years by coping strategy Households affected by death of members in the past 5 years by coping strategy Over the past five years, was the household severely affected by any of the following events, death of household member ? 1735 3234 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affected by fire in the past 5 years Households affected by fire in the past 5 years Households affected by fire in the past 5 years Households affected by fire in the past 5 years Households affected by fire in the past 5 years Over the past five years, was the household severely affected by any of the following events? Fire 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of fire over the past 5 years Households by ranked significance of fire over the past 5 years Households by ranked significance of fire over the past 5 years Households by ranked significance of fire over the past 5 years Households by ranked significance of fire over the past 5 years Over the past five years, was the household severely affected by any of the following events? fire 603 4366 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to fire over the past 5 years Households by value(SDG) of damage due to fire over the past 5 years Households by value(SDG) of damage due to fire over the past 5 years Households by value(SDG) of damage due to fire over the past 5 years Households by value(SDG) of damage due to fire over the past 5 years Over the past five years, was the household severely affected by any of the following events? fire 608 4361 -9 45000 -9 8 10 30 34 40 50 51 56 60 65 70 75 80 85 87 90 100 103 108 109 114 120 125 135 140 145 150 155 160 175 180 182 190 193 200 205 210 211 226 240 248 250 280 285 300 330 340 350 357 360 400 420 450 451 500 508 510 520 550 560 584 600 700 720 750 751 760 770 780 800 840 850 890 900 950 1000 1090 1170 1200 1300 1490 1500 1513 1528 1530 1550 1580 1600 1700 1750 1800 1830 1855 1980 2000 2010 2050 2200 2250 2400 2500 2560 2615 2760 2950 3000 3500 3760 3800 4000 5000 5500 6000 6660 7000 7090 7400 8000 9000 9800 10000 12000 12700 16000 16880 18000 19000 25000 35000 45000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) fire ? 608 4361 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affected by fire in the past 5 years by coping strategy Households affected by fire in the past 5 years by coping strategy Households affected by fire in the past 5 years by coping strategy Households affected by fire in the past 5 years by coping strategy Households affected by fire in the past 5 years by coping strategy Over the past five years, was the household severely affected by any of the following events, fire ? 608 4361 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Households affceted by robbery/burglary or assault in the past 5 years Households affceted by robbery/burglary or assault in the past 5 years Households affceted by robbery/burglary or assault in the past 5 years Households affceted by robbery/burglary or assault in the past 5 years Households affceted by robbery/burglary or assault in the past 5 years Over the past five years, was the household severely affected by any of the following events, Robbery/ burglary/ assault ? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of robbery/burglary/assault over the past 5 years Households by ranked significance of robbery/burglary/assault over the past 5 years Households by ranked significance of robbery/burglary/assault over the past 5 years Households by ranked significance of robbery/burglary/assault over the past 5 years Households by ranked significance of robbery/burglary/assault over the past 5 years Over the past five years, was the household severely affected by any of the following events, Robbery/ burglary/ assault ? 621 4348 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due robbery/burglary/assault over the past 5 Households by value(SDG) of damage due robbery/burglary/assault over the past 5 Households by value(SDG) of damage due robbery/burglary/assault over the past 5 Households by value(SDG) of damage due robbery/burglary/assault over the past 5 Households by value(SDG) of damage due robbery/burglary/assault over the past 5 Over the past five years, was the household severely affected by any of the following events, Robbery/ burglary/ assault ? 632 4337 -9 700000 -9 3 5 10 15 16 17 20 21 25 30 35 40 42 46 50 60 70 71 75 78 80 85 90 100 105 107 110 112 120 123 125 129 130 135 137 140 150 160 170 180 190 198 200 205 210 214 215 230 240 250 257 258 260 269 270 280 284 285 288 300 320 325 332 340 350 390 395 400 403 420 450 460 470 480 490 495 500 505 522 550 555 575 600 610 650 651 690 700 720 723 750 780 781 800 820 860 869 880 900 950 975 1000 1064 1080 1090 1200 1290 1300 1350 1400 1480 1500 1511 1550 1560 1575 1600 1700 1750 1800 1897 2000 2050 2100 2200 2217 2250 2336 2400 2500 2690 2800 2850 3000 3280 3600 3750 3800 4000 4060 4200 4500 4506 4600 4950 5000 5100 6000 6500 7000 7600 7700 7800 8500 8800 9000 9500 9600 10000 12000 13000 15000 17200 17600 20000 25000 32000 34000 40000 44000 50000 65000 100000 700000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG) Robbery/ burglary/ assault ? 632 4337 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Households affceted by robbery/burglary or assault in the past 5 years by coping Households affceted by robbery/burglary or assault in the past 5 years by coping Households affceted by robbery/burglary or assault in the past 5 years by coping Households affceted by robbery/burglary or assault in the past 5 years by coping Households affceted by robbery/burglary or assault in the past 5 years by coping Over the past five years, was the household severely affected by any of the following events, Robbery/ burglary/assault ? 632 4337 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Household affected by dwelling damaged/destroyed in the past 5 years Household affected by dwelling damaged/destroyed in the past 5 years Household affected by dwelling damaged/destroyed in the past 5 years Household affected by dwelling damaged/destroyed in the past 5 years Household affected by dwelling damaged/destroyed in the past 5 years Over the past five years, was the household severely affected by any of the following events, dwelling damaged, destroyed ? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of dwelling damaged or destroyed over the past Households by ranked significance of dwelling damaged or destroyed over the past Households by ranked significance of dwelling damaged or destroyed over the past Households by ranked significance of dwelling damaged or destroyed over the past Households by ranked significance of dwelling damaged or destroyed over the past Over the past five years, was the household severely affected by any of the following events, dwelling damaged, destroyed ? 802 4167 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to dwelling damaged or destroyed over the Households by value(SDG) of damage due to dwelling damaged or destroyed over the Households by value(SDG) of damage due to dwelling damaged or destroyed over the Households by value(SDG) of damage due to dwelling damaged or destroyed over the Households by value(SDG) of damage due to dwelling damaged or destroyed over the Over the past five years, was the household severely affected by any of the following events, dwelling damaged, destroyed ? 830 4139 -9 800000 -9 5 8 10 11 15 20 25 30 35 39 40 50 55 60 65 70 75 80 82 85 90 94 100 105 106 109 120 125 126 130 132 135 140 150 158 160 170 175 180 190 196 200 210 215 225 230 240 250 257 258 265 270 275 280 300 320 325 345 350 360 370 380 390 394 400 417 445 450 455 467 470 480 500 530 544 550 555 600 609 643 650 688 690 700 720 750 760 800 805 810 820 825 850 880 900 950 980 990 1000 1100 1200 1250 1280 1300 1400 1450 1500 1603 1700 1800 1880 2000 2003 2100 2400 2500 2610 2800 3000 3500 3503 4000 4312 5000 5500 5812 6000 6567 7000 7600 8000 8700 9000 9100 10000 10750 12000 15000 20000 800000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks (SDG dwelling damaged, destroyed ? 830 4139 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Household affected by dwelling damaged/destroyed in the past 5 years by coping s Household affected by dwelling damaged/destroyed in the past 5 years by coping s Household affected by dwelling damaged/destroyed in the past 5 years by coping s Household affected by dwelling damaged/destroyed in the past 5 years by coping s Household affected by dwelling damaged/destroyed in the past 5 years by coping s Over the past five years, was the household severely affected by any of the following events, dwelling damaged, destroyed ? 830 4139 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Household affected by severe water shortage in the past 5 years Household affected by severe water shortage in the past 5 years Household affected by severe water shortage in the past 5 years Household affected by severe water shortage in the past 5 years Household affected by severe water shortage in the past 5 years Over the past five years, was the household severely affected by any of the following events, severe water shortage ? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of severe water shortage over the past 5 years Households by ranked significance of severe water shortage over the past 5 years Households by ranked significance of severe water shortage over the past 5 years Households by ranked significance of severe water shortage over the past 5 years Households by ranked significance of severe water shortage over the past 5 years Over the past five years, was the household severely affected by any of the following events, severe water shortage ? 1084 3885 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to severe water shortage over the past 5 Households by value(SDG) of damage due to severe water shortage over the past 5 Households by value(SDG) of damage due to severe water shortage over the past 5 Households by value(SDG) of damage due to severe water shortage over the past 5 Households by value(SDG) of damage due to severe water shortage over the past 5 Over the past five years, was the household severely affected by any of the following events, severe water shortage ? 1121 3848 -9 75000 -9 1 2 3 5 7 8 10 11 14 15 17 18 19 20 24 25 26 28 30 35 36 38 39 40 42 50 56 58 60 62 63 65 66 70 75 80 85 90 95 100 103 105 108 109 115 120 123 125 145 150 154 155 159 165 175 178 180 185 200 211 220 234 240 250 260 270 280 300 325 330 350 356 360 377 380 400 409 450 480 490 500 520 550 564 580 600 601 650 660 680 700 718 720 750 770 780 788 800 805 812 820 850 855 880 900 905 920 940 982 988 990 1000 1003 1100 1200 1240 1280 1500 1540 1550 1560 1580 1600 1650 1670 1750 1755 1800 1807 1890 1896 1900 1965 2000 2085 2208 2344 2435 2500 2570 2860 2900 3000 3100 3120 3500 4000 4700 5000 5500 6000 6100 6900 7000 7680 7968 8000 8420 9190 9500 10050 10980 12059 15000 20000 35000 75000 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks SDG dwelling damaged, destroyed ? 1121 3848 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Household affected by severe water shortage in the past 5 years by coping strate Household affected by severe water shortage in the past 5 years by coping strate Household affected by severe water shortage in the past 5 years by coping strate Household affected by severe water shortage in the past 5 years by coping strate Household affected by severe water shortage in the past 5 years by coping strate Over the past five years, was the household severely affected by any of the following events, severe water shortage ? 1121 3848 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Household affected by other events n.e.s in the past 5 years Household affected by other events n.e.s in the past 5 years Household affected by other events n.e.s in the past 5 years Household affected by other events n.e.s in the past 5 years Household affected by other events n.e.s in the past 5 years Over the past five years, was the household severely affected by any of the following events, other? 4969 -9 No response 1 Affected 2 Not affected Households by ranked significance of other events n.e.s. over the past 5 years Households by ranked significance of other events n.e.s. over the past 5 years Households by ranked significance of other events n.e.s. over the past 5 years Households by ranked significance of other events n.e.s. over the past 5 years Households by ranked significance of other events n.e.s. over the past 5 years Over the past five years, was the household severely affected by any of the following events, other? 323 4646 -9 No response 1 Highly Affected(1) 2 Medium affected (2) 3 Little affected(3) Sysmiss Households by value(SDG) of damage due to other reasons n.e.s. over the past 5 y Households by value(SDG) of damage due to other reasons n.e.s. over the past 5 y Households by value(SDG) of damage due to other reasons n.e.s. over the past 5 y Households by value(SDG) of damage due to other reasons n.e.s. over the past 5 y Households by value(SDG) of damage due to other reasons n.e.s. over the past 5 y Over the past five years, was the household severely affected by any of the following events, other? 323 4646 -9 91850 -9 6 10 25 30 40 45 50 60 61 65 75 78 80 84 85 97 100 105 108 113 120 130 150 160 166 175 200 250 275 280 285 300 323 350 381 389 400 450 490 500 555 570 600 620 650 700 750 800 850 886 900 940 1000 1050 1100 1120 1165 1200 1315 1390 1500 1660 1700 1800 2000 2010 2135 2380 2500 3000 3800 4000 5000 6000 9450 10000 24000 35000 50000 91850 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Estimated Value of the most significant shocks SDG, other? 323 4646 1 `0 2 1-499 3 500-999 4 1000-9999 5 10 000+ 6 No response Sysmiss Household affected by other events n.e.s in the past 5 years by coping strategy Household affected by other events n.e.s in the past 5 years by coping strategy Household affected by other events n.e.s in the past 5 years by coping strategy Household affected by other events n.e.s in the past 5 years by coping strategy Household affected by other events n.e.s in the past 5 years by coping strategy Over the past five years, was the household severely affected by any of the following events, other? 323 4646 -9 No response 1 Spent cash/savings 2 Sent children tolive with relatives 3 Sold assets (tools, furniture etc.) 4 Sold farm land 5 Rented out farm 6 Sold animals 7 Sold more crops 8 Worked more/worked longer hours 9 Other household members who weren't working went to work 10 Started a new business 11 Removed children from school to work 12 Went elsewhere to fin work for more than a month 13 Borrowed money from relatives 14 Borrowed money from money lender 15 Borrowed money from institutions (banks etc.) 16 Received help from religious institutions 17 Received help from local NGO 18 Received help from international NGO 19 Received help from Government 20 Received help from family/friends 21 Reduced food consumption 22 Consumed lower cost, but less preferred foods 23 Reduced non-food expenditures 24 Spiritual help-,prayers, sacrifices, consulted diviner etc. 25 Other n.e.s Sysmiss Adult equivalents, 1, 0.7 and 0.5 Adult equivalents, 1, 0.7 and 0.5 Adult equivalents, 1, 0.7 and 0.5 Adult equivalents, 1, 0.7 and 0.5 Adult equivalents, 1, 0.7 and 0.5 4969 1 28.3 1 1.5 1.70000004768372 2 2.20000004768372 2.40000009536743 2.5 2.70000004768372 2.90000009536743 3 3.09999990463257 3.20000004768372 3.40000009536743 3.5 3.59999990463257 3.70000004768372 3.79999995231628 3.90000009536743 4 4.09999990463257 4.19999980926514 4.30000019073486 4.40000009536743 4.5 4.59999990463257 4.69999980926514 4.80000019073486 4.90000009536743 5 5.09999990463257 5.19999980926514 5.30000019073486 5.40000009536743 5.5 5.59999990463257 5.69999980926514 5.80000019073486 5.90000009536743 6 6.09999990463257 6.19999980926514 6.30000019073486 6.40000009536743 6.5 6.59999990463257 6.69999980926514 6.80000019073486 6.90000009536743 7 7.09999990463257 7.19999980926514 7.30000019073486 7.40000009536743 7.5 7.59999990463257 7.69999980926514 7.80000019073486 7.90000009536743 8 8.10000038146973 8.19999980926514 8.30000019073486 8.39999961853027 8.5 8.60000038146973 8.69999980926514 8.80000019073486 8.89999961853027 9 9.10000038146973 9.19999980926514 9.30000019073486 9.39999961853027 9.5 9.60000038146973 9.69999980926514 9.80000019073486 9.89999961853027 10 10.1000003814697 10.3000001907349 10.3999996185303 10.5 10.6000003814697 10.8000001907349 10.8999996185303 11 11.1000003814697 11.1999998092651 11.3999996185303 11.5 11.6000003814697 11.6999998092651 11.8999996185303 12 12.1999998092651 12.3000001907349 12.5 12.6999998092651 12.8000001907349 12.8999996185303 13.1000003814697 13.1999998092651 13.3999996185303 13.5 13.6999998092651 13.8999996185303 14 14.1000003814697 14.3000001907349 14.5 14.8000001907349 14.8999996185303 15.3000001907349 15.3999996185303 15.5 16.2999992370605 17.6000003814697 18.1000003814697 18.2999992370605 18.6000003814697 19.3999996185303 22.2999992370605 23.8999996185303 28.2999992370606 Adult equivalents, 1, 0.5 and 0.3 Adult equivalents, 1, 0.5 and 0.3 Adult equivalents, 1, 0.5 and 0.3 Adult equivalents, 1, 0.5 and 0.3 Adult equivalents, 1, 0.5 and 0.3 4969 0.6 18.9 0.600000023841858 1 1.20000004768372 1.29999995231628 1.5 1.60000002384186 1.79999995231628 1.89999997615814 2 2.09999990463257 2.20000004768372 2.29999995231628 2.40000009536743 2.5 2.59999990463257 2.70000004768372 2.79999995231628 2.90000009536743 3 3.09999990463257 3.20000004768372 3.29999995231628 3.40000009536743 3.5 3.59999990463257 3.70000004768372 3.79999995231628 3.90000009536743 4 4.09999990463257 4.19999980926514 4.30000019073486 4.40000009536743 4.5 4.59999990463257 4.69999980926514 4.80000019073486 4.90000009536743 5 5.09999990463257 5.19999980926514 5.30000019073486 5.40000009536743 5.5 5.59999990463257 5.69999980926514 5.80000019073486 5.90000009536743 6 6.09999990463257 6.19999980926514 6.30000019073486 6.40000009536743 6.5 6.59999990463257 6.69999980926514 6.80000019073486 6.90000009536743 7 7.09999990463257 7.19999980926514 7.30000019073486 7.40000009536743 7.5 7.59999990463257 7.69999980926514 7.80000019073486 7.90000009536743 8 8.10000038146973 8.30000019073486 8.39999961853027 8.5 8.60000038146973 8.69999980926514 8.80000019073486 8.89999961853027 9.10000038146973 9.19999980926514 9.30000019073486 9.39999961853027 9.5 9.89999961853027 10.3000001907349 10.3999996185303 10.5 10.6000003814697 10.6999998092651 10.8999996185303 11.6999998092651 12.3000001907349 12.3999996185303 12.6000003814697 12.8999996185303 13.3999996185303 15.3000001907349 16.5 18.8999996185303 Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms 4969 0.109 3183.175 Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms 4969 301.674 0.00470895366743207 0.00941536109894514 0.0154069550335407 0.0211845617741346 0.0233030188828707 0.025114418938756 0.0282460823655128 0.0313930213451386 0.0322899669408798 0.0325916334986687 0.0338953025639057 0.0353076010942459 0.0376716256141663 0.0385173819959164 0.042369119822979 0.0423691235482693 0.047076802700758 0.0470895320177078 0.0484218560159206 0.0508429482579231 0.0529614053666592 0.0564921647310257 0.0598152354359627 0.0605273209512234 0.0627860426902771 0.0635536834597588 0.0664793476462364 0.0677906051278114 0.0693312957882881 0.0706152021884918 0.0726327896118164 0.0741459652781486 0.0747690424323082 0.0753228887915611 0.0753432512283325 0.0770347639918327 0.0776767283678055 0.0807249173521996 0.0814790800213814 0.084738239645958 0.0847382470965385 0.0904119089245796 0.094153605401516 0.0941790640354156 0.0968437120318413 0.0988612845540047 0.10014520585537 0.100457675755024 0.101685896515846 0.103568971157074 0.105922810733318 0.108949176967144 0.112984329462051 0.113014884293079 0.11555215716362 0.118633538484573 0.120549216866493 0.121054641902447 0.124615073204041 0.125572085380554 0.127107366919518 0.129159867763519 0.135581210255623 0.13698773086071 0.137699663639069 0.141230404376984 0.141230419278145 0.141268610954285 0.145265579223633 0.148291930556297 0.150686502456665 0.150686517357826 0.151318296790123 0.15252885222435 0.156068176031113 0.156965106725693 0.158884212374687 0.161449834704399 0.163243725895882 0.167429447174072 0.169476479291916 0.169476494193077 0.169522330164909 0.171234667301178 0.174318671226501 0.17653800547123 0.18158195912838 0.185364916920662 0.188307210803032 0.188358128070831 0.190661057829857 0.195549800992012 0.203371793031692 0.205481618642807 0.209286823868752 0.211845621466637 0.213472545146942 0.217898353934288 0.225968658924103 0.226029768586159 0.228141441941261 0.23110431432724 0.233030185103416 0.234401240944862 0.23538401722908 0.235447660088539 0.237267076969147 0.238586977124214 0.240091696381569 0.242109283804894 0.247153237462044 0.251144170761108 0.251144200563431 0.254214733839035 0.254283487796783 0.256167054176331 0.258319735527039 0.263701379299164 0.264807015657425 0.269083052873611 0.269621700048447 0.27010315656662 0.271162420511246 0.271235734224319 0.27397546172142 0.275399327278137 0.276258587837219 0.282460808753967 0.28246083855629 0.282537221908569 0.289522349834442 0.293001562356949 0.296583861112595 0.30137300491333 0.301373034715652 0.302636593580246 0.308222413063049 0.310706913471222 0.313930213451386 0.314742088317871 0.317768424749374 0.322899669408798 0.329626739025116 0.334858894348144 0.338952958583832 0.338952988386154 0.339044660329819 0.342469334602356 0.345894068479538 0.34665647149086 0.353076010942459 0.357783704996109 0.361647635698318 0.36316391825676 0.36415907740593 0.369766920804977 0.370729833841324 0.375269383192062 0.376614421606064 0.376716256141663 0.376716285943985 0.381322115659714 0.385087758302689 0.385173857212067 0.387374848127365 0.391099601984024 0.399480313062668 0.401830703020096 0.406743586063385 0.413098961114883 0.414275884628296 0.414387911558151 0.418573647737503 0.423691242933273 0.423691272735596 0.423805803060532 0.429456561803818 0.434283524751663 0.435796707868576 0.436990886926651 0.439502328634262 0.451937317848206 0.452059507369995 0.452059537172318 0.45395490527153 0.460431039333344 0.462208598852158 0.46220862865448 0.47076803445816 0.470895320177078 0.472113072872162 0.476652652025223 0.484218567609787 0.484349489212036 0.489731132984161 0.489731162786484 0.494306474924088 0.49846026301384 0.502288341522217 0.502288401126862 0.502376735210419 0.50842946767807 0.516639471054077 0.527402758598328 0.527402818202972 0.52961403131485 0.531539916992188 0.535188972949982 0.538166105747223 0.544745862483978 0.547950923442841 0.550798654556274 0.557540118694305 0.564921617507935 0.564921677112579 0.565074443817139 0.571983158588409 0.581062316894531 0.59198272228241 0.593167722225189 0.593167781829834 0.60274600982666 0.602746069431305 0.605273187160492 0.616278111934662 0.616444826126099 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116.212455749512 117.277740478516 117.53547668457 119.989356994629 126.259986877441 127.02872467041 127.107368469238 130.451477050781 131.484741210938 134.394866943359 135.581192016602 136.694198608398 137.699661254883 147.107696533203 147.946762084961 154.604354858398 158.220840454102 162.69743347168 162.741424560547 173.289489746094 179.191375732422 180.823806762695 188.358139038086 190.661056518555 198.906188964844 202.522674560547 202.780990600586 203.426788330078 210.96110534668 221.675262451172 232.057220458984 236.577819824219 254.926116943359 255.627044677734 265.072631835938 291.327270507812 344.846069335938 345.732055664062 450.807495117188 452.502258300781 1356.17858886719 Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms 4969 1214.533 0.00470768054947257 0.00470895366743207 0.00529614044353366 0.00605273200199008 0.00706152059137821 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5.6650595664978 5.70097255706787 5.74492311477661 5.80143070220947 5.9144458770752 5.91982698440552 5.95211744308472 6.0274600982666 6.05257511138916 6.12163925170898 6.1279182434082 6.18777513504028 6.23431396484375 6.28475332260132 6.40417623519898 6.40417671203613 6.46696329116821 6.567214012146 6.59253454208374 6.70555019378662 6.71810722351074 6.89251232147217 6.92029047012329 6.96925115585327 7.10110187530518 7.12336254119873 7.15760898590088 7.34596729278564 7.40875339508057 7.45898246765137 7.62644243240356 7.62850475311279 7.72268295288086 7.85722541809082 7.91104173660278 7.92987728118896 7.96485805511475 8.00522136688232 8.06172847747803 8.17474365234375 8.22497177124024 8.4738245010376 8.5702953338623 8.60168743133545 8.66447448730469 8.75058078765869 8.79004669189453 8.89751625061035 9.44302177429199 9.51208591461182 9.53305244445801 9.58742904663086 9.88880252838135 9.95607280731201 10.0357208251953 10.2383108139038 10.3842868804932 10.3910903930664 10.4228048324585 10.4538764953613 10.6422348022461 10.648512840271 10.8494291305542 11.0001153945923 11.2073087692261 11.3014879226685 11.3485774993896 11.3579959869385 12.0549201965332 12.3688507080078 12.4247875213623 12.6199960708618 12.8836965560913 13.0042457580566 13.0720548629761 13.1850690841675 13.5581197738647 13.561785697937 13.6873579025269 13.9008302688599 14.264271736145 14.2869644165039 14.9072017669678 14.9430780410767 15.3739385604858 15.4453678131104 15.6765756607056 15.7467393875122 16.1002674102783 16.2741432189941 16.2979907989502 16.9522323608398 17.140588760376 18.4052810668945 19.0367298126221 19.066104888916 19.7722587585449 21.2844696044922 21.8052253723145 24.7556419372559 25.239990234375 27.3433246612549 31.2674503326416 31.6441669464111 32.7743148803711 Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms 4969 2.544 3409.998 4969 72.936 72.936 72.9355621337891 Number motor vehicles - grouped Number motor vehicles - grouped Number motor vehicles - grouped Number motor vehicles - grouped Number motor vehicles - grouped Does any member of this household own any of the following transport items, motor vehicles? 165 4804 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped How much would you have to pay if you should buy the motor vehicles at the market? 165 4804 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Number of motor cycles/motor rickshaws - grouped Number of motor cycles/motor rickshaws - grouped Number of motor cycles/motor rickshaws - grouped Number of motor cycles/motor rickshaws - grouped Number of motor cycles/motor rickshaws - grouped Does any member of this household own any of the following transport items, cycles/motor rickshaws ? 251 4718 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped How much would you have to pay if you should buy cycles/motor rickshaws at the market? 251 4718 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Number of bicycles - grouped Number of bicycles - grouped Number of bicycles - grouped Number of bicycles - grouped Number of bicycles - grouped Does any member of this household own any of the following transport items,bicycles ? 1453 3516 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped How much would you have to pay if you should buy this bicycle at the market? 1453 3516 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Number of canoes/boats - grouped Number of canoes/boats - grouped Number of canoes/boats - grouped Number of canoes/boats - grouped Number of canoes/boats - grouped Does any member of this household own any of the following transport items, canoes/boats 87 4882 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped How much would you have to pay if you should buy this canoes/boats at the market? 87 4882 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Number of animals for transport - grouped Number of animals for transport - grouped Number of animals for transport - grouped Number of animals for transport - grouped Number of animals for transport - grouped Does any member of this household own any of the following transport items, animals for transport 116 4853 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped Value(SDG) - grouped How much would you have to pay if you should buy this animals for transport at the market? 116 4853 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Number of televisions/dishes - grouped Number of televisions/dishes - grouped Number of televisions/dishes - grouped Number of televisions/dishes - grouped Number of televisions/dishes - grouped Does any member of this household own any of the following, televisions/Satellite dishes ? 332 4637 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one television/satellite dish(SDG) - grouped Value of one television/satellite dish(SDG) - grouped Value of one television/satellite dish(SDG) - grouped Value of one television/satellite dish(SDG) - grouped Value of one television/satellite dish(SDG) - grouped How much would you have to pay if you should buy this televisions/Satellite dishes at the market? 332 4637 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of radios/transistors - grouped Number of radios/transistors - grouped Number of radios/transistors - grouped Number of radios/transistors - grouped Number of radios/transistors - grouped Does any member of this household own any of the following, radios/transistors ? 1604 3365 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one radio/transistor (SDG) - grouped Value of one radio/transistor (SDG) - grouped Value of one radio/transistor (SDG) - grouped Value of one radio/transistor (SDG) - grouped Value of one radio/transistor (SDG) - grouped How much would you have to pay if you should buy this radios/transistors at the market? 1604 3365 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of phones - grouped Number of phones - grouped Number of phones - grouped Number of phones - grouped Number of phones - grouped Does any member of this household own any of the following, number of phones ? 1292 3677 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one phone(SDG) - grouped Value of one phone(SDG) - grouped Value of one phone(SDG) - grouped Value of one phone(SDG) - grouped Value of one phone(SDG) - grouped How much would you have to pay if you should buy this number of phones at the market? 1292 3677 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of computers - grouped Number of computers - grouped Number of computers - grouped Number of computers - grouped Number of computers - grouped Does any member of this household own any of the following, computers ? 79 4890 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one computer(SDG) - grouped Value of one computer(SDG) - grouped Value of one computer(SDG) - grouped Value of one computer(SDG) - grouped Value of one computer(SDG) - grouped How much would you have to pay if you should buy this computers at the market? 79 4890 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of refrigerators - grouped Number of refrigerators - grouped Number of refrigerators - grouped Number of refrigerators - grouped Number of refrigerators - grouped Does any member of this household own any of the following, refrigerators ? 97 4872 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one refrigerator(SDG) - grouped Value of one refrigerator(SDG) - grouped Value of one refrigerator(SDG) - grouped Value of one refrigerator(SDG) - grouped Value of one refrigerator(SDG) - grouped How much would you have to pay if you should buy this refrigerators at the market? 97 4872 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of fans - grouped Number of fans - grouped Number of fans - grouped Number of fans - grouped Number of fans - grouped Does any member of this household own any of the following, fans 126 4843 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one fan (SDG) - grouped Value of one fan (SDG) - grouped Value of one fan (SDG) - grouped Value of one fan (SDG) - grouped Value of one fan (SDG) - grouped How much would you have to pay if you should buy this fan at the market? 126 4843 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of coolers/air conditioners - grouped Number of coolers/air conditioners - grouped Number of coolers/air conditioners - grouped Number of coolers/air conditioners - grouped Number of coolers/air conditioners - grouped Does any member of this household own any of the following, coolers/air conditioners? 78 4891 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one cooler/air conditioner (SDG) - grouped Value of one cooler/air conditioner (SDG) - grouped Value of one cooler/air conditioner (SDG) - grouped Value of one cooler/air conditioner (SDG) - grouped Value of one cooler/air conditioner (SDG) - grouped How much would you have to pay if you should buy this cooler/air conditioner at the market? 78 4891 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of pair of shoes - grouped Number of pair of shoes - grouped Number of pair of shoes - grouped Number of pair of shoes - grouped Number of pair of shoes - grouped Does any member of this household own any of the following, pair of shoes? 3024 1945 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one pair of shoes (SDG) - grouped Value of one pair of shoes (SDG) - grouped Value of one pair of shoes (SDG) - grouped Value of one pair of shoes (SDG) - grouped Value of one pair of shoes (SDG) - grouped How much would you have to pay if you should buy this pair of shoes at the market? 3024 1945 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of blankets - grouped Number of blankets - grouped Number of blankets - grouped Number of blankets - grouped Number of blankets - grouped Does any member of this household own any of the following, blankets ? 2579 2390 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one blanket (SDG) - grouped Value of one blanket (SDG) - grouped Value of one blanket (SDG) - grouped Value of one blanket (SDG) - grouped Value of one blanket (SDG) - grouped How much would you have to pay if you should buy this blankets at the market? 2579 2390 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss Number of mosquito nets - grouped Number of mosquito nets - grouped Number of mosquito nets - grouped Number of mosquito nets - grouped Number of mosquito nets - grouped Does any member of this household own any of the following, mosquito nets ? 3157 1812 1 `0 2 `1 3 2-4 4 5-9 5 10+ 6 No response Sysmiss Value of one mosquito net (SDG) - grouped Value of one mosquito net (SDG) - grouped Value of one mosquito net (SDG) - grouped Value of one mosquito net (SDG) - grouped Value of one mosquito net (SDG) - grouped How much would you have to pay if you should buy this mosquito nets at the market? 3157 1812 1 0-49 2 50-99 3 100-499 4 500-999 5 1000+ 6 No response Sysmiss 4967 2 Non poor 1 Poor Sysmiss 5 quantiles of pcexpm 5 quantiles of pcexpm 5 quantiles of pcexpm 5 quantiles of pcexpm 5 quantiles of pcexpm 4967 2 1 2 3 4 5 Sysmiss Urban Urban Urban Urban Urban Urban 4969 1 Urban 2 Rural State State State State State State 33660 71 Upper Nile 72 Jonglei 73 Unity 81 Warap 82 Northern Bahr Al Ghazal 83 Western Bahr Al Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster 33660 1 440 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID Household ID 33660 1 4969 Head Head Head Head Head Head 33660 1 Relationship to head of household Relationship to head of household Relationship to head of household Relationship to head of household Relationship to head of household What is [Name’s] relationship to head of household? 33660 -9 No response 1 Head 2 Spouse 3 Daughter/son 4 Spouse of son/daughter 5 Grandchild 6 Sister/brother 7 Sister/brother in law 8 Parent 9 Parent-in-law 10 Niece/nephew 11 Other relative 12 Non relative 99 Sex Sex Sex Sex Sex Is [Name] male or female? 33660 -9 No response 1 Male 2 Female Age (years) Age (years) Age (years) Age (years) Age (years) What is [Name’s] age in completed years? 33653 7 99 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 92 93 94 95 99 Sysmiss Age (months) Age (months) Age (months) Age (months) Age (months) What is [Name’s] age in completed months? 5919 27741 59 0.2 0.5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Sysmiss Marital Status Marital Status Marital Status Marital Status Marital Status What is [Name’s] marital status? 20545 13115 1 Never Married 2 Married 3 Widowed 4 Divorced 99 No Response Sysmiss Number of months Number of months Number of months Number of months Number of months During the past 12 months, how many months did [Name] live in this household? 33200 460 -9 12 -9 1 2 3 4 5 6 7 8 9 10 11 12 Sysmiss Father Father Father Father Father Is biological father of [Name] living in this household? 33035 625 1 2 3 4 Sysmiss Mother Mother Mother Mother Mother Is biological mother of [Name] living in this household? 32884 776 -9 1 2 3 4 Sysmiss Literacy Literacy Literacy Literacy Literacy Can [Name] read and write with understanding a simple sentence in any language? 26568 7092 -9 No response 1 Can read and write 2 Can not read and write Sysmiss School attendance - ever School attendance - ever School attendance - ever School attendance - ever School attendance - ever Has [Name] ever attended school? 26565 7095 -9 No response 1 Is attending or has attended school 2 Never attended school Sysmiss School attendance - current School attendance - current School attendance - current School attendance - current School attendance - current Is [Name] currently attending school? 12009 21651 -9 No response 1 Currently attending 2 Not currently attending Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? No money for school costs 1569 32091 -9 No response 1 No money for \n school costs Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? Supporting the family 496 33164 -9 No response 1 Supporting the \n family Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? Own illness/disability 91 33569 -9 No response 1 Own illness \n disability Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? Families illness/disabilities 43 33617 -9 No response 1 Families illness \n disabilities Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? School too far from home 1403 32257 -9 No response 1 School too far \n from home Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? Cultural reasons 879 32781 -9 No response 1 Cultural \n reasons Sysmiss Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Reason for not attending school (for persons less than 16 years old) Why is [Name] not attending school? Other 684 32976 -9 No response 1 Other Sysmiss Current school attendance Current school attendance Current school attendance Current school attendance Current school attendance What is the grade and level that [Name] is attending? 8545 25115 -9 No response 1 P1 2 P2 3 P3 4 P4 5 P5 6 P6 7 P7 8 P8 9 Sec.1 10 Sec. 2 11 Sec. 3 12 Sec. 4 13 Sec. 5 14 Sec. 6 15 Post secondary \n diploma program 16 University 17 Khalwa Sysmiss Previous year's school attendance Previous year's school attendance Previous year's school attendance Previous year's school attendance Previous year's school attendance What was the grade and level that [Name] was attending previous school year? 8545 25115 -9 No response 1 Did not \n attend school 2 P1 3 P2 4 P3 5 P4 6 P5 7 P6 8 P7 9 P8 10 Sec. 1 11 Sec. 2 12 Sec. 3 13 Sec. 4 14 Sec. 5 15 Sec. 6 16 Post secondary \n diploma program 17 University 18 Khalwa Sysmiss Highest level of education Highest level of education Highest level of education Highest level of education Highest level of education What is the highest level that [Name] has completed? 12009 21651 -9 No response 1 No qualification \n (previously) 2 Incomplete \n primary (currently) 3 P4 4 P6 5 P8 6 Junior 3 7 Junior 4 8 Sec. 1 9 Sec. 2 10 Sec. 3 11 Sec. 4 12 Sec. 5 13 Sec. 6 14 Post secondary \n diploma program 15 University 16 Khalwa Sysmiss Vocational training ever attended Vocational training ever attended Vocational training ever attended Vocational training ever attended Vocational training ever attended Has [Name] ever attended any sort of vocational training? 24424 9236 -9 No response 1 Attended 2 Never attended Sysmiss Type of skills aquired Type of skills aquired Type of skills aquired Type of skills aquired Type of skills aquired If yes, what type of skills did [Name] acquire? Carpentry 71 33589 -9 No response 1 Carpentry Sysmiss Brick laying Brick laying Brick laying Brick laying Brick laying If yes, what type of skills did [Name] acquire? Brick laying 70 33590 -9 No response 1 Brick laying Sysmiss Computer science Computer science Computer science Computer science Computer science If yes, what type of skills did [Name] acquire? Computer science 147 33513 -9 No response 1 Computer science Sysmiss Motor mechanics Motor mechanics Motor mechanics Motor mechanics Motor mechanics If yes, what type of skills did [Name] acquire? Motor mechanics 116 33544 -9 No response 1 Motor mechanics Sysmiss Electrical Electrical Electrical Electrical Electrical If yes, what type of skills did [Name] acquire? Electrical 31 33629 -9 No response 1 Electrcial Sysmiss Catering Catering Catering Catering Catering If yes, what type of skills did [Name] acquire? Catering 19 33641 -9 No response 1 Catering Sysmiss Sewing\tailoring Sewing\tailoring Sewing\tailoring Sewing\tailoring Sewing\tailoring If yes, what type of skills did [Name] acquire? Sewing\tailoring 89 33571 -9 No response 1 Sewing/tailoring Sysmiss Nursing/first aid Nursing/first aid Nursing/first aid Nursing/first aid Nursing/first aid If yes, what type of skills did [Name] acquire? Nursing/first aid 169 33491 -9 No response 1 Nursing/first aid Sysmiss Other Other Other Other Other If yes, what type of skills did [Name] acquire? Other 417 33243 -9 No response 1 Other Sysmiss Months of last vocational training Months of last vocational training Months of last vocational training Months of last vocational training Months of last vocational training How many months did [Name’s] vocational training last? 1044 32616 92 Total expenditure for vocational training (SDG) Total expenditure for vocational training (SDG) Total expenditure for vocational training (SDG) Total expenditure for vocational training (SDG) Total expenditure for vocational training (SDG) What was the total expenditure related to [Name’s] vocational training last 12 months? 844 32816 42100 Months of training - grouped Months of training - grouped Months of training - grouped Months of training - grouped Months of training - grouped How many months did [Name’s] vocational training last? 1044 32616 1 Less than 1 2 `1 3 2-5 4 6-11 5 12+ 6 No response Sysmiss Expenditure for training(SDG) - grouped Expenditure for training(SDG) - grouped Expenditure for training(SDG) - grouped Expenditure for training(SDG) - grouped Expenditure for training(SDG) - grouped What was the total expenditure related to [Name’s] vocational training last 12 months? 844 32816 1 `0 2 0.1-99.9 3 100.0-499.9 4 500.0-999.9 5 1000.0+ 6 No response Sysmiss Work at least one hour for cash/kind last 7 days Work at least one hour for cash/kind last 7 days Work at least one hour for cash/kind last 7 days Work at least one hour for cash/kind last 7 days Work at least one hour for cash/kind last 7 days During the last 7 days, did [Name] work at least one hour for pay (or without pay), profit in kind for family business? 21938 11722 -9 No response 1 Worked 2 Did not work Sysmiss Did not work last 7 days but have worked before Did not work last 7 days but have worked before Did not work last 7 days but have worked before Did not work last 7 days but have worked before Did not work last 7 days but have worked before [Name] did not work during the last 7 days, but have a job to go back to? 17124 16536 -9 No response 1 Have a job to go back to 2 Do not have a job to go back to Sysmiss Did not work last 7 days, have worked before but have no work to go back to Did not work last 7 days, have worked before but have no work to go back to Did not work last 7 days, have worked before but have no work to go back to Did not work last 7 days, have worked before but have no work to go back to Did not work last 7 days, have worked before but have no work to go back to [Name] did not work during the last 7 days, but have worked before and is available for work? 16076 17584 -9 No response 1 Is available for work 2 Is not available for work 3 Sysmiss Did never work before Did never work before Did never work before Did never work before Did never work before [Name] did not work before, and is not seeking work? 15090 18570 -9 No response 1 Is not seeking work 2 Is seeking work Sysmiss Did never work before Did never work before Did never work before Did never work before Did never work before [Name] have never worked before, but is seeking work? 3860 29800 -9 No response 1 Is seeking work Sysmiss Main activity of work during the last 7 days Main activity of work during the last 7 days Main activity of work during the last 7 days Main activity of work during the last 7 days Main activity of work during the last 7 days What was [Name’s] main activity of work the last 7 days or last days work? 7808 25852 -9 No response 1 Animal husbandry 2 Cropfarming and horticulture 3 Fishing 4 Forestry 5 Mining and quarrying 6 Manufacturing 7 Electricity, gas, steam and airconditioning supply 8 Water supply, sewerage, waste management and remediation services 9 Constructoin 10 Wholesale and retail trade, repair of motor veichles and motorbikes 11 Transportation and storage 12 Accomodation and food service activities 13 Information and communication 14 Financial and insurance activities 15 Real estate activities 16 Professional, scientific and technical activities 17 Administrative and support service activities 18 Public administration and pulsory social security 19 Defence 20 Education 21 Human health and social activities 22 Arts, entertainment and recreation 23 Other service activities 24 Activities of household as employers, services-producing activities of household Sysmiss Salaries/wages(cash or kind) received for work done last 7 days Salaries/wages(cash or kind) received for work done last 7 days Salaries/wages(cash or kind) received for work done last 7 days Salaries/wages(cash or kind) received for work done last 7 days Salaries/wages(cash or kind) received for work done last 7 days Did [Name] receive wages, salaries or other values in cash or kind or in other values for the work done during the last 7 days? 7808 25852 -9 No response 1 Have received 2 Have not received Sysmiss Value of last actual payment or expected payment (SDG) Value of last actual payment or expected payment (SDG) Value of last actual payment or expected payment (SDG) Value of last actual payment or expected payment (SDG) Value of last actual payment or expected payment (SDG) What was the value of [Name’s] last payment (cash or kind)? (or if not yet received payment) What is the value of the payment that [Name] expect to receive (cash or kind)? 7808 25852 -9 28000 Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped What was the value of [Name’s] last payment (cash or kind)? (or if not yet received payment) What is the value of the payment that [Name] expect to receive (cash or kind)? SDG 8172 25488 1 `0 2 1-24 3 25-49 4 50-99 5 100-499 6 500+ 7 No response Sysmiss Days actually worked or expected worked for last payment Days actually worked or expected worked for last payment Days actually worked or expected worked for last payment Days actually worked or expected worked for last payment Days actually worked or expected worked for last payment How many days did [Name] work for the payment just reported (D8)? (or if not yet received payment) How many days does [Name] expect to work for the payment just reported? 7808 25852 -9 360 Days - grouped Days - grouped Days - grouped Days - grouped Days - grouped Days grouped? 8172 25488 1 `0 2 1-3 3 4-7 4 8-29 5 30+ 6 No response Sysmiss Main employment status for persons who worked last 7 days Main employment status for persons who worked last 7 days Main employment status for persons who worked last 7 days Main employment status for persons who worked last 7 days Main employment status for persons who worked last 7 days What was [Name’s] main employment status? 7808 25852 -9 No response 1 Paid employee 2 Employer 3 Own account worker 4 Unpaid family worker 5 Unpaid, working for orhers Sysmiss Reason for not seeking work Reason for not seeking work Reason for not seeking work Reason for not seeking work Reason for not seeking work Why did [Name] not seek work? 12190 21470 -9 No response 1 No hope to find job 2 Full time student 3 Income receipent 4 Too old 5 Disabled/too sick 6 Full time homemaker/housewife 7 Pensioner/retired Sysmiss Main activity of work during the last 12 months Main activity of work during the last 12 months Main activity of work during the last 12 months Main activity of work during the last 12 months Main activity of work during the last 12 months What was [Name’s] main activity of work during the last 12 months? 7808 25852 -9 No response 1 Animal husbandry 2 Cropfarming and horticulture 3 Fishing 4 Forestry 5 Mining and quarrying 6 Manufacturing 7 Electricity, gas, steam and airconditioning supply 8 Water supply, sewerage, waste management and remediation services 9 Constructoin 10 Wholesale and retail trade, repair of motor veichles and motorbikes 11 Transportation and storage 12 Accomodation and food service activities 13 Information and communication 14 Financial and insurance activities 15 Real estate activities 16 Professional, scientific and technical activities 17 Administrative and support service activities 18 Public administration and pulsory social security 19 Defence 20 Education 21 Human health and social activities 22 Arts, entertainment and recreation 23 Other service activities 24 Activities of household as employers, services-producing activities of household Sysmiss Value of actual payment or expected payment for work done last 30 days (SDG) Value of actual payment or expected payment for work done last 30 days (SDG) Value of actual payment or expected payment for work done last 30 days (SDG) Value of actual payment or expected payment for work done last 30 days (SDG) Value of actual payment or expected payment for work done last 30 days (SDG) For the last month (30 days) - What was the value of [Name’s] payments (cash or kind)? (or if not yet received payment) What is the value of the payment that [Name] expect to receive (cash or kind)? 7808 25852 -9 31900 -9 1 2 3 4 4.45 5 6 7 8 10 12 14 15 16 17 18 19 20 23 24 25 26 27 28 30 32 35 36 37 38 40 42 44 45 46 48 50 52 53 55 56 58 60 64 65 68 70 72 75 76 80 82 84 85 88 90 98 100 104 105 106 107 108 110 112 115 118 120 125 128 129 130 135 140 144 145 147 150 153 155 160 164 165 168 170 175 176 180 185 186 190 192 193 194 195 196 200 201 202 205 210 213 216 219 220 224 225 227 230 232 234 235 236 237 238 240 248 250 252 253 254 260 265 269 270 274 275 276 280 285 286 287 288 290 291 293 294 296 300 303 305 307 310 311 315 317 320 327 328 329 330 335 336 340 342 345 346 347 350 352 353 356 360 362 364 365 366 370 373 375 380 385 390 395 400 404 405 406 408 416 420 425 428 435 440 441 442 450 458 460 465 466 470 472 475 476 480 486 490 495 498 500 503 510 513 514 515 520 525 540 550 560 564 565 570 575 577 587 595 600 603 612 614 617 620 630 640 650 660 663 667 670 680 682 685 690 700 720 728 730 740 743 750 754 760 761 772 780 788 789 790 795 798 800 815 816 820 825 830 836 840 841 843 845 850 852 857 860 862 870 875 880 884 890 899 900 905 910 920 925 930 932 933 950 958 960 962 970 971 980 989 997 998 1000 1010 1020 1033 1050 1053 1060 1068 1075 1080 1100 1120 1125 1130 1150 1160 1188 1200 1203 1215 1225 1250 1275 1293 1300 1350 1360 1400 1401 1420 1423 1450 1466 1480 1500 1570 1580 1600 1608 1650 1680 1700 1750 1789 1800 1850 1860 1888 1900 1902 1960 2000 2010 2100 2153 2200 2240 2400 2500 2501 2540 2600 2700 2800 2850 2880 3000 3200 3400 3500 3750 4000 4200 4203 4500 4580 5000 5070 5600 6000 7000 8000 9000 10000 10580 12000 14000 18000 20000 25000 28000 31900 Sysmiss Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped Value (SDG) - grouped For the last month (30 days) - What was the value of [Name’s] payments (cash or kind)? (or if not yet received payment) What is the value of the payment that [Name] expect to receive (cash or kind)? SDG 8172 25488 1 `0 2 1-24 3 25-49 4 50-99 5 100-499 6 500-999 7 1000+ 8 No response Sysmiss Weeks worked or expected worked for last 30 days payment Weeks worked or expected worked for last 30 days payment Weeks worked or expected worked for last 30 days payment Weeks worked or expected worked for last 30 days payment Weeks worked or expected worked for last 30 days payment How many weeks did [Name] work for the payment just reported 7808 25852 -9 81 Weeks - grouped Weeks - grouped Weeks - grouped Weeks - grouped Weeks - grouped How many weeks did [Name] work for the payment just reported (D13)? Weeks, 8172 25488 1 `0 2 `1 3 2-3 4 4+ 5 No response Sysmiss Height of child (in cms) Height of child (in cms) Height of child (in cms) Height of child (in cms) Height of child (in cms) Measured height in cm 4351 29309 -9 125 Weight of child (in cms) Weight of child (in cms) Weight of child (in cms) Weight of child (in cms) Weight of child (in cms) Measured weight in kg 4311 29349 -9 22.3 Result of measurement Result of measurement Result of measurement Result of measurement Result of measurement Result of measurement 5142 28518 1 2 3 4 Sysmiss Household size Household size Household size Household size Household size Household size 33660 1 48 Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households 33660 53.967 2546.779 Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms Food, per capita, real terms 33660 0.109 3183.175 Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms Education, per capita, real terms 33660 301.674 Health, per capita, real terms Health, per capita, real terms Health, per capita, real terms Health, per capita, real terms Health, per capita, real terms 33660 1138.851 Clothing, per capita, real terms Clothing, per capita, real terms Clothing, per capita, real terms Clothing, per capita, real terms Clothing, per capita, real terms 33660 103.346 Utilities, per capita, real terms Utilities, per capita, real terms Utilities, per capita, real terms Utilities, per capita, real terms Utilities, per capita, real terms 33660 0.0096 221.509 Transportation and communication, per capita, real terms Transportation and communication, per capita, real terms Transportation and communication, per capita, real terms Transportation and communication, per capita, real terms Transportation and communication, per capita, real terms 33660 1356.179 Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms Personal care, per capita, real terms 33660 1214.533 House-related expenses, per capita, real terms House-related expenses, per capita, real terms House-related expenses, per capita, real terms House-related expenses, per capita, real terms House-related expenses, per capita, real terms 33660 463.135 Recreation, per capita, real terms Recreation, per capita, real terms Recreation, per capita, real terms Recreation, per capita, real terms Recreation, per capita, real terms 33660 160.437 Other, per capita, real terms Other, per capita, real terms Other, per capita, real terms Other, per capita, real terms Other, per capita, real terms 33660 32.774 Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms Total, per capita, real terms 33660 2.544 3409.998 Temporal price index by urban Temporal price index by urban Temporal price index by urban Temporal price index by urban Temporal price index by urban 33660 0.983 1.106 Per capita monthly upper poverty line, real terms Per capita monthly upper poverty line, real terms Per capita monthly upper poverty line, real terms Per capita monthly upper poverty line, real terms Per capita monthly upper poverty line, real terms 33660 72.936 72.936 Value of last week payment (SDG/day) Value of last week payment (SDG/day) Value of last week payment (SDG/day) Value of last week payment (SDG/day) Value of last week payment (SDG/day) 8172 25488 -9 1000 SDG per day - grouped SDG per day - grouped SDG per day - grouped SDG per day - grouped SDG per day - grouped 8172 25488 1 0-0.9 2 1.0-4.9 3 5.0-9.9 4 10.0-49.9 5 50.0-99.9 6 100.0+ 7 No response Sysmiss Value of last month payment (SDG/week) Value of last month payment (SDG/week) Value of last month payment (SDG/week) Value of last month payment (SDG/week) Value of last month payment (SDG/week) 8172 25488 -9 7975 SDG per week - grouped SDG per week - grouped SDG per week - grouped SDG per week - grouped SDG per week - grouped 8172 25488 1 0-0.9 2 1.0-4.9 3 5.0-9.9 4 10.0-49.9 5 50.0-99.9 6 100.0+ 7 No response Sysmiss Poor Poor Poor Poor Poor 33660 Non poor 1 Poor Sex of Household Head Sex of Household Head Sex of Household Head Sex of Household Head Sex of Household Head Is [Name] male or female? 33656 4 -9 No response 1 Male 2 Female Sysmiss Age of Household Head Age of Household Head Age of Household Head Age of Household Head Age of Household Head What is [Name's] age in completed years? 33642 18 2 99 Education of Household Head Education of Household Head Education of Household Head Education of Household Head Education of Household Head Can [Name] read and write with understanding a simple sentence in any language? 33660 No schooling 1 Primary 2 Secondary 3 Post-secondary 33660 1 0-5 years 2 6-9 years 3 10-14 years 4 15-19 years 5 20-24 years 6 25-29 years 7 30-34 years 8 35-39 years 9 40-44 years 10 45-49 years 11 50-54 years 12 55-59 years 13 60-64 years 14 65-69 years 15 70-74 years 16 75 and above 17 Missing Urban Urban Urban Urban Urban Urban 33660 1 Urban 2 Rural State State State State State State 68937 115 71 Upper Nile 72 Jonglei 73 Unity 81 Warap 82 Northern Bahr Al Ghazal 83 Western Bahr Al Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria Sysmiss Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster (state county payam boma earea) Cluster 68937 115 1 440 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 Sysmiss Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID Unique Household ID 69052 1 4969 68937 115 101 830031 101 102 103 104 105 112 311 313 314 315 721 722 723 724 915 952 954 1254 31201 31213 31214 31218 32101 32111 32115 32117 32124 43101 44101 44201 44403 52001 53301 53303 53304 54001 54002 54003 54009 54012 55201 55202 55203 55204 56101 56102 56103 56104 56117 56201 56202 61101 61102 61103 61204 61301 61302 62101 62103 62105 62201 62301 62302 62303 62304 63001 63004 63005 73101 73103 73301 73401 81001 82001 83001 83002 83003 91401 93201 93401 94101 94102 95101 96001 121101 121102 121105 121106 121201 121303 121313 121314 121321 121322 123103 123201 125401 127001 127002 127003 127004 127005 127007 127010 431011 431012 431013 431014 431015 431016 552011 552012 552013 552015 552016 630041 630042 830031 Sysmiss Household size Household size Household size Household size Household size Household size 68937 115 1 48 Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights, valid households Sampling weights 68937 115 53.967 1697.853 How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of [item] was purchased last 30 days? How much of electricity to homes from grid was purchased last 30 days? 68937 115 1 Sysmiss How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? How much of the purchased [item] was consumed? 68937 115 0.1 36000 module module module module module 68937 115 4 5 Sysmiss Urban Urban Urban Urban Urban Urban 68937 115 1 Urban 2 Rural Sysmiss