ZMB-ZSA-LCMS-2006-V1.0 DDI-ZMB-ZSA-LCMS-2006-V1.0

MOSES TEMBO

Etambuyu Lukonga

ZAMBIA STATISTICS AGENCY 2026-01-13 Nesstar Publisher ZMB-ZSA-LCMS-2006-V1.0(JANUARY 2026) 2006 LIVING CONDITIONS AND MONITORING SURVEY 5TH EDITION 2006 LCMS ZMB-ZSA-LCMS-2006-V1.0 CENTRAL STATISTICAL OFFICE UNITED KINGDOM AID BRITISH DEPARTMENT OF INTERNATIONAL DEVELOPMENT GERMANY GOVERNMENT (c) 2006, Central Statistical Office, Zambia Nesstar Publisher GOVERNMENT OF THE REPUBLIC OF ZAMBIA BRITISH DEPARTMENT OF INTERNATIONAL DEVELOPMENT GERMANY TECHNICAL CORPERATION Head of Dissemination Living Standards Measurement Study [hh/lsms] V1.0 EDITED ANONYMIZED DATASET FOR PUBLIC DISTRIBUTION POVERTY HOUSEHOLD INCOME HOUSEHOLD CONSUMPTION CHILD HEALTH AND NUTRITION EXPENDITURE MIGRATION ORPHANHOOD AGRICULTURAL PRODUCTION DEVELOPMENTAL ISSUES EDUCATION HEALTH DEMOGRAPHIC CHARECTERISTICS DEMOGRAPHY AND MIGRATION EDUCATION HEALTH INCOME EXPENDITURE ORPHANHOOD ECONOMIC ACTIVITY AGRICULTURE ANTHROPOLOGY ASSETS HOUSEHOLD AMENITIES ACCESS TO FACILITIES MORTALITY ZAMBIA The survey covered all dejure household members (usual) while data on education and income was collected from all household members above the age of five. Sample survey data [ssd] CENTRAL STATISTICAL OFFICE Face-to-face [f2f] Data was collected using a structured household questionnaire. The questionnaire was in English and translations were only done during the actual interviews. In addition, the questionnaire contained sections that were administered to certain household members above the age of five. These included economic activity, income and education. A DATA ENTRY SCREEN WAS CREATED USING CSPro. THIS SCREEN WAS USED TO ENTER THE DATA USING DESKTOP COMPUTERS. AN AVERAGE OF THREE DATA ENTRY OPERATORS WERE ALLOCATED TO EACH PROVINCE. The household response rate was calculated as the ratio of originally selected households with completed interviews over the total number of households selected. The household response rate was also generally very high with a national average of 98 per cent of the originally selected households for both survey periods. The household selection technique allows for a systematic method of replacing non-responding households. Zambia Statistics Agency Central Statistical Office (2012). Living Conditions Monitoring Survey report 2006 and 2010 Deaths in a Household..NSDstat 18662 31 Nesstar 200801 CENTRAL STATISTICAL OFFICE V1.0(2006) Developmental issue1.NSDstat The data set contains variables that relate to the developmental issues that took place in the community during the reference period. It further discusses the developmental issues that the community may need in the near future. This was compiled by province, rural/urban and stratum (small, medium and largescale) 18662 18 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Education.NSDstat The data set contains variables that relate to education status of the head of the household and its usual members. Variables included were current level of education one is attending and highest level of education attained. The data also requested for reasons why one has not or never attended school. This data was compiled at national, provincial, rural/urban and stratum 95179 21 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Health.NSDstat 97675 24 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Household Access to facilitie..NSDstat 298571 17 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Household Expenditure and Poverty.NSDstat The data set contains data on the with expenditure by the household in the reference period. The expenditure is split into food and nonfood expenditure. Food expenditure covers expenditure on cereals, legumes, fish, oils, meat etc. while nonfood expenditure covers capital expenditure, education, household maintenance and clothing. This data was compiled at national, provincial, rural/urban and stratum 18662 213 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Household Roster and migration and poverty.NSDstat This data set contains a listed of the usual household members and their demographic characteristics such as; age, sex relationship to the head and marital status. The data further shows the movements the household members made in the reference period within the district, outside the district and outside the province to determine the extent of migration among households. This data was compiled at national, provincial, rural/urban and stratum 97750 35 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Marital Status.NSDstat The data contains information of the marital status of all usual household members above the age of 13. Marital status responses include, married, never married, divorced, widowed and cohabiting. This data was compiled at national, provincial, rural/urban and stratum 97738 15 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Nutrition5.NSDstat The data contained variables that provided information to do with the nutrition levels at the household. The variables responsible for this data are collected on expenditure of food items by the household in the reference period. 9229 18 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. For other specify, the open-ended responses were post coded for analysis purposes. V1.0(2006) Poverty.NSDstat This data contains variables that are used to establish the poverty status of the household. The variables used are; household size access to facilities, housing conditions, income, expenditure and assets. Poverty levels will vary based on the deprivation levels of the aforementioned variables. This data was compiled at national, provincial, rural/urban and stratum 18662 20 Nesstar 200801 CENTRAL STATISTICAL OFFICE V1.0(2006) Self Assesd Poverty and Household Strategies.NSDstat The data set shows the respondent's poverty perception of his household. The variables include; poor, moderately poor, extremely poor and non-poor. Other variables are number of meals per day, begging from neighbors, begging in the street, how much money the household needs. This is purely the perception of the household. This data was compiled at national, provincial, rural/urban and stratum 18662 50 Nesstar 200801 CENTRAL STATISTICAL OFFICE The data was checked for consistency, completeness and missing data. V1.0(2006) 18662 0 Province 18662 0 1 Central 1602 2 Copperbelt 3158 3 Eastern 2062 4 Luapula 1511 5 Lusaka 2362 6 Northern 2548 7 NorthWestern 1342 8 Sothern 2617 9 Western 1460 District 18662 0 101 907 490.973 251.968 Constituency 18662 0 1 150 73.56 41.977 Ward 18662 0 1 30 10.233 6.393 CSA 18662 0 1 28 3.667 3.367 SEA 18662 0 1 5665 2 6045 3 4638 4 1904 5 265 6 95 7 25 8 25 Rural/urban 18662 0 1 Rural 9132 2 Urban 9530 Stratum 18662 0 1 Small Scale 6836 2 Medium scale 960 3 Large Scale 38 4 Non agric 1298 5 Low cost 6384 6 Medium Coct 1796 7 High Cost 1350 Household number 18662 0 1 8881 73.276 124.032 1. Have there been any death..... 18655 7 1 Yes 1748 2 No 16907 Sysmiss 7 2. How many people died in the last 12 months 1747 16915 1 45 1.302 1.23 3. Deceased 1 age 1744 16918 0 98 0 155 1 96 2 87 3 47 4 33 5 25 6 25 7 19 8 4 9 13 10 14 11 8 12 17 13 8 14 10 15 16 16 15 17 6 18 24 19 11 20 32 21 11 22 23 23 22 24 27 25 38 26 25 27 28 28 40 29 27 30 58 31 22 32 42 33 19 34 24 35 33 36 26 37 14 38 28 39 13 40 34 41 10 42 26 43 7 44 10 45 40 46 5 47 7 48 24 49 12 50 21 51 10 52 16 53 11 54 7 55 8 56 14 57 5 58 13 59 10 60 25 61 8 62 7 63 5 64 7 65 9 66 3 67 7 68 13 69 9 70 14 71 7 72 8 73 11 74 7 75 11 76 6 77 3 78 8 79 4 80 8 81 4 82 5 83 4 84 8 85 5 86 5 87 4 88 6 89 4 90 29 98 NA 15 Sysmiss 16918 3. Deceased 1 sex 1748 16914 1 Male 969 2 Female 771 8 NA 8 Sysmiss 16914 3. Deceased 2 age 1727 16935 0 98 0 33 1 16 2 19 3 13 4 6 5 7 6 8 7 3 8 6 9 6 10 7 11 2 12 12 13 1 14 6 15 7 16 2 17 3 18 5 19 2 20 3 21 6 22 5 23 5 24 8 25 10 26 8 27 2 28 13 29 1 30 18 31 4 32 4 33 2 34 6 35 3 36 8 37 3 38 5 39 3 40 5 41 1 42 3 43 2 44 2 45 4 46 2 47 3 48 1 50 7 51 1 52 2 53 1 55 3 56 1 57 1 59 1 60 3 64 1 65 1 68 2 70 2 71 1 72 2 75 2 78 1 80 1 82 2 84 1 85 1 88 3 89 1 90 4 98 NA 1378 Sysmiss 16935 3. Deceased 2 sex 1727 16935 1 Male 166 2 Female 184 8 NA 1377 Sysmiss 16935 3. Deceased 3 age 1724 16938 0 98 0 10 1 3 2 3 3 3 4 2 5 2 6 1 7 1 9 2 10 1 12 1 13 2 14 2 15 3 16 1 18 1 19 4 20 2 21 2 24 4 25 4 26 2 27 2 28 1 30 2 31 2 32 1 36 2 38 1 40 1 42 1 45 1 50 1 55 1 65 1 67 1 70 1 73 1 75 1 80 1 88 2 89 2 90 1 98 NA 1641 Sysmiss 16938 3. Deceased 3 sex 1724 16938 1 Male 38 2 Female 44 8 NA 1642 Sysmiss 16938 3. Deceased 4 age 1722 16940 0 3 2 5 4 1 5 2 6 2 10 1 11 1 14 1 16 1 19 1 25 1 27 1 34 1 36 1 40 2 42 2 88 2 89 1 98 NA 1693 Sysmiss 16940 3. Deceased 4 sex 1722 16940 1 Male 7 2 Female 22 8 NA 1693 Sysmiss 16940 3. Deceased 5 age 1722 16940 1 1 2 1 7 1 9 1 12 1 16 1 18 1 33 1 42 1 88 2 89 2 98 NA 1709 Sysmiss 16940 3. Deceased 5 sex 1722 16940 1 Male 2 2 Female 7 8 NA 1713 Sysmiss 16940 3. Deceased 6 age 1722 16940 0 2 9 1 10 1 18 1 88 2 89 2 98 NA 1713 Sysmiss 16940 3. Deceased 6 sex 1722 16940 1 Male 2 2 Female 6 8 NA 1714 Sysmiss 16940 4. Deceased 1 main cause 1745 16917 1 98 1 407 2 120 3 153 4 33 5 16 6 73 7 82 8 34 9 84 10 18 11 65 12 31 13 19 14 82 15 6 16 11 17 5 18 6 19 8 20 7 21 54 22 21 23 32 24 27 25 24 26 61 27 7 28 6 29 10 30 121 31 120 98 NA 2 Sysmiss 16917 4. Deceased 2 main cause 1031 17631 1 98 1 70 2 21 3 24 4 10 5 6 6 12 7 8 8 14 9 12 10 6 11 11 12 3 13 4 14 24 15 2 16 2 17 1 18 3 19 7 20 1 21 13 22 1 23 3 24 5 25 4 26 16 27 3 28 5 29 6 30 29 31 24 98 NA 681 Sysmiss 17631 4. Deceased 3 main cause 889 17773 1 98 1 16 2 2 3 9 4 3 6 3 7 4 8 1 9 4 10 1 11 5 12 3 14 6 16 1 18 1 21 1 22 2 23 1 24 1 25 1 26 2 29 1 30 4 31 8 98 NA 809 Sysmiss 17773 4. Deceased 4 main cause 862 17800 1 5 3 2 4 1 7 2 8 4 9 3 11 1 13 1 14 1 19 1 21 2 23 1 28 1 30 1 31 3 98 NA 833 Sysmiss 17800 4. Deceased 5 main cause 855 17807 1 1 7 1 10 1 14 1 18 1 29 1 31 2 98 NA 847 Sysmiss 17807 4. Deceased 6 main cause 853 17809 1 1 27 1 31 2 98 NA 849 Sysmiss 17809 18662 0 2.168 1138.703 122.414 106.855 18662 0 Province 18662 0 1 Central 1602 2 Copperbelt 3158 3 Eastern 2062 4 Luapula 1511 5 Lusaka 2362 6 Northern 2548 7 NorthWestern 1342 8 Sothern 2617 9 Western 1460 District 18662 0 101 907 490.973 251.968 Constituency 18662 0 1 150 73.56 41.977 Ward 18662 0 1 30 10.233 6.393 CSA 18662 0 1 5154 2 3553 3 2789 4 2067 5 1726 6 841 7 721 8 525 9 281 10 230 11 220 12 65 13 40 14 125 15 25 16 75 17 75 18 25 19 25 20 25 26 25 28 50 SEA 18662 0 1 5665 2 6045 3 4638 4 1904 5 265 6 95 7 25 8 25 Rural/urban 18662 0 1 Rural 9132 2 Urban 9530 Stratum 18662 0 1 Small Scale 6836 2 Medium scale 960 3 Large Scale 38 4 Non agric 1298 5 Low cost 6384 6 Medium Coct 1796 7 High Cost 1350 Household number 18662 0 1 8881 73.276 124.032 Improved economic facility code - Choice 1 17824 838 0 98 40.673 17.171 Improved economic facility code - Choice 2 14836 3826 0 91 41.415 18.232 Improved economic facility code - Choice 3 10166 8496 0 88 44.068 20.75 Improved economic facility code - Choice 4 6220 12442 0 88 48.366 23.567 Provided economic facility code - Choice 1 17723 939 0 88 40.707 19.234 Provided economic facility code - Choice 2 15248 3414 0 97 39.996 19.884 Provided economic facility code - Choice 3 11213 7449 0 91 41.608 21.425 Provided economic facility code - Choice 4 7202 11460 0 99 44.445 24.431 95179 0 Province 95179 0 1 Central 8653 2 Copperbelt 16392 3 Eastern 10586 4 Luapula 7994 5 Lusaka 11756 6 Northern 12798 7 NorthWestern 7171 8 Sothern 12200 9 Western 7629 District 95179 0 101 907 485.193 252.531 Constituency 95179 0 1 150 72.565 42.127 Ward 95179 0 1 30 10.224 6.354 CSA 95179 0 1 25895 2 18287 3 14350 4 10479 5 8984 6 4532 7 3755 8 2556 9 1503 10 1221 11 1079 12 310 13 240 14 590 15 94 16 317 17 346 18 90 19 108 20 97 26 128 28 218 SEA 95179 0 1 29028 2 30870 3 23447 4 9770 5 1360 6 478 7 110 8 116 Rural/urban 95179 0 1 Rural 45680 2 Urban 49499 Stratum 95179 0 1 Small Scale 34187 2 Medium scale 6773 3 Large Scale 314 4 Non agric 4406 5 Low cost 32552 6 Medium Coct 9896 7 High Cost 7051 Household number 95179 0 1 8881 72.681 122.336 Sec4 PID 95179 0 1 60 3.783 2.572 Is ... currently attending school? 95175 4 1 Nursery/Preschool 1057 2 Other Grades Full time 30367 3 Grade part time 121 4 Community Full time 580 5 Correspondence 95 6 Adult literecy class 39 7 Tertially school 580 8 No 62336 Sysmiss 4 What grade is ... currently attending? 31744 63435 1 88 5.902 3.575 What grade was ... attending last year? 31740 63439 0 10 1 3351 2 3180 3 3199 4 3126 5 2966 6 3106 7 2253 8 2845 9 1257 10 1561 11 1225 12 95 13 31 14 544 15 90 16 22 17 1 88 NA 2878 Sysmiss 63439 Is the school ... is currently attending, a government, miss 32797 62382 1 Central Government 27342 2 Local Government 887 3 Mission/Religious 1006 4 Industrial 48 5 Private 2963 6 Other 544 8 7 Sysmiss 62382 Has ... ever attended school? 62389 32790 1 Yes 40558 2 No 21830 7 1 Sysmiss 32790 Was ... attending school last year? 40563 54616 1 Nursery/PreSchool 85 2 Other Grades full time 1262 3 Other grades part time 36 4 Community school full time 19 5 Correspondence 19 6 Adult literacy class 60 7 Tertially school 139 8 No 38943 Sysmiss 54616 What grade was ... attending last year? 1477 93702 1 20 2 34 3 40 4 35 5 44 6 76 7 113 8 68 9 184 10 25 11 72 12 559 13 5 14 154 15 40 16 7 17 1 Sysmiss 93702 What was the highest grade ... attained 40431 54748 1 591 2 1219 3 1438 4 2147 5 2389 6 2498 7 8163 8 1751 9 6282 10 1571 11 815 12 7824 13 110 14 2334 15 1104 16 157 17 31 18 7 Sysmiss 54748 What was the main reason for leaving school at the time? 40430 54749 1 Started working/business 1262 2 Expensive 451 3 Too Far 871 4 Not Selected/Failed 4951 5 Pregnancy 2271 6 Made girl Pregnant 254 7 Completed Studies/school 10495 8 Got Married 1764 9 No Need to Continue School 1898 10 School not important 1635 11 Unsafe to travel to school 180 12 Expelled 165 13 Lack of Support 12514 14 Needed to help out at home 673 15 Illness/injury/disabled 668 16 Other 378 Sysmiss 54749 Why has .... never attended school? 21838 73341 0 1 1 Under Age 13863 2 Was never enrolled 4217 3 Could not get a place 212 4 Expensive 100 5 No Support 1711 6 School too far 538 7 Illness/injury/disabled 179 8 School not important 772 9 Unsafe to travel to school 123 10 Other 121 12 1 Sysmiss 73341 97675 0 Province 97675 0 1 Central 8674 2 Copperbelt 16599 3 Eastern 10582 4 Luapula 8030 5 Lusaka 11934 6 Northern 13097 7 NorthWestern 7193 8 Sothern 13897 9 Western 7669 District 97675 0 101 907 490.691 253.423 Constituency 97675 0 1 150 73.456 42.252 Ward 97675 0 1 30 10.208 6.345 CSA 97675 0 1 28 3.624 3.245 SEA 97675 0 1 29919 2 31664 3 24011 4 9999 5 1378 6 479 7 110 8 115 Rural/urban 97675 0 1 Rural 47247 2 Urban 50428 Stratum 97675 0 1 Small Scale 35283 2 Medium scale 7082 3 Large Scale 325 4 Non-Agric 4557 5 Low Cost 33171 6 Medium Cost 10090 7 High Cost 7167 Household number 97675 0 1 8881 72.64 121.258 SEC3 pid 97674 1 1 32 3.839 2.596 1. Has... been sick/injured during last 2 weeks? 97646 29 1 Yes sick 8109 2 Yes injured 348 3 Yes both 17 4 No 89141 5 Don't know 31 Sysmiss 29 2. What was... mainly suffering from? 8128 89547 1 30 1 Fever/malaria 3575 2 Cough/cold/chest infection 1155 3 Tuberculosis (TB) 115 4 Ashma 120 5 Brochitis 28 6 Pneumonia/chest pain 91 7 334 8 Diarrhoea with blood 65 9 Diarrhoea and vomiting 119 10 Vomiting 30 11 Abdominal pains 309 12 Constipation/stomach upset 104 13 Liver infection/side pain 27 14 Lack of blood/aneamia 36 15 Boils 67 16 Skin rash/skin infection 225 17 Piles/haemoroids 8 18 Shingles/herpes zoster 19 19 Paralysis of anykind 49 20 Stroke 31 21 Hypertension 90 22 Diabetes/sugar disease 41 23 Eye infection 131 24 Ear infection 41 25 Toothace/mouth infection 218 26 Headache 470 27 Measles 17 28 Jaundice/yellowness 9 29 Backach 210 30 Other (specify) 394 Sysmiss 89547 3. Did... consult any health or other institution/personnel 8474 89201 1 Consulted 5143 2 Used self administered medicine only 2174 3 None 1157 Sysmiss 89201 4. How much in total was spent on...'s medication/consultati 7314 90361 0 4000000 9102.133 71272.554 5. Where did you get the medicine from? 7295 90380 1 Government institution 4303 2 Mission institution 352 3 Industrial institution 65 4 Private institution 755 5 Pharmacy 826 6 Relatives 188 7 Neighbours 125 8 Friends 156 9 Traditional healers 119 10 Other 406 Sysmiss 90380 6. Which health or other institution/personnel did .. visit 5143 92532 1 Government hospital 2138 2 Government health centre/clinic 2108 3 Government health post 99 4 Mission institution 316 5 Industrial institution 46 6 Private institution 276 7 Institution outside Zambia 2 8 Medical personnel 27 9 Traditional healer 86 10 Spiritual healer 5 11 Other (specify) 40 Sysmiss 92532 7. Who attended to... during this visit? 5143 92532 1 Medical Doctor 1019 2 Clinical Officer 2556 3 Nurse/midwife 1236 4 Community health worker 178 5 Traditional healer 85 6 Spiritual healer 18 7 Church healer 24 8 Other 27 Sysmiss 92532 8. What was the method used for paying for the services of t 5141 92534 1 With Pre-payment scheme low cost 263 2 With Pre-payment scheme high cost 178 3 Paid for by employer 51 4 Paid by insurance 20 5 Paid for by other 14 6 Paid directly 1751 7 Didn't Pay 2820 8 Other 44 Sysmiss 92534 9. Has ......been continuously ill for the last 12 months? 97643 32 1 Yes 1903 2 No 95740 Sysmiss 32 10. What was .... mainly suffering from? 1904 95771 1 30 1 Fever/malaria 351 2 Cough/cold/chest infection 227 3 Tuberculosis (TB) 156 4 Ashma 78 5 Brochitis 19 6 Pneumonia/chest pain 50 7 37 8 Diarrhoea with blood 17 9 Diarrhoea and vomiting 24 10 Vomiting 2 11 Abdominal pains 133 12 Constipation/stomach upset 30 13 Liver infection/side pain 14 14 Lack of blood/aneamia 27 15 Boils 18 16 Skin rash/skin infection 47 17 Piles/haemoroids 6 18 Shingles/herpes zoster 9 19 Paralysis of anykind 56 20 Stroke 27 21 Hypertension 60 22 Diabetes/sugar disease 33 23 Eye infection 50 24 Ear infection 21 25 Toothace/mouth infection 25 26 Headache 82 27 Measles 3 28 Jaundice/yellowness 5 29 Other (specify) 295 30 2 Sysmiss 95771 11. Has... been unable to perform their normal duties becaus 1906 95769 1 Yes 801 2 No 1105 Sysmiss 95769 97675 0 zambia 97675 97675 0 2.168 1138.703 119.94 106.889 Province 298571 0 1 Central 25617 2 Copperbelt 50528 3 Eastern 32992 4 Luapula 24176 5 Lusaka 37792 6 Northern 40768 7 NorthWestern 21466 8 Sothern 41872 9 Western 23360 District 298571 0 101 907 490.988 251.954 Constituency 298571 0 1 150 73.563 41.974 Ward 298571 0 1 30 10.233 6.393 CSA 298571 0 1 82464 2 56842 3 44624 4 33057 5 27616 6 13456 7 11536 8 8400 9 4496 10 3680 11 3520 12 1040 13 640 14 2000 15 400 16 1200 17 1200 18 400 19 400 20 400 26 400 28 800 SEA 298571 0 1 90625 2 96720 3 74202 4 30464 5 4240 6 1520 7 400 8 400 Rural/urban 298571 0 1 Rural 146106 2 Urban 152465 Stratum 298571 0 1 Small Scale 109370 2 Medium scale 15360 3 Large Scale 608 4 Non agric 20768 5 Low cost 102144 6 Medium Coct 28721 7 High Cost 21600 Household number 298571 0 1 8881 73.274 124.032 Facility Code 298570 1 1 Food markets 18661 2 Post office/post agency 18661 3 Community school 18661 4 Lower basic 1 to 4 18661 5 Middle basic 1 to 7 18661 6 Upper basic 18661 7 High school 18661 8 Secondary school 18661 9 Health facility 18661 10 Hammer mill 18661 11 Input market 18660 12 Police station/post 18660 13 Bank 18660 14 Public transport 18660 15 Public phone 18660 16 Internet cafe 18660 Sysmiss 1 Do you know where the nearest 298570 1 1 Yes 185010 2 No 113560 Sysmiss 1 Distance 184990 113581 0 99 10.713 23.743 Usage of facility 184993 113578 1 Yes 118123 2 No 66869 5 1 Sysmiss 113578 Normally by what means 118157 180414 0 1 1 On foot 96769 2 Bicycle 11643 3 Motorbike 160 4 Scotch cart 277 5 Public Transport 7068 6 Personal vehicle 2103 7 Other 136 Sysmiss 180414 Normally how long does it take 118154 180417 1 Lessthan 10 minutes 43274 2 Between 10-19 minutes 26987 3 Between 20-29 minutes 14945 4 Between 30-59 minutes 12991 5 1 hour and above 19956 6 1 Sysmiss 180417 Reason for not using the facility 66990 231581 1 Too expensive 3571 2 Too far 7635 3 Poor administration 490 4 Poor quality 787 5 Curruption 278 6 Did not need 52559 7 Other 1670 Sysmiss 231581 298571 0 Household ID (unique) 18662 0 Province 18662 0 1 Central 1602 2 Copperbelt 3158 3 Eastern 2062 4 Luapula 1511 5 Lusaka 2362 6 Northern 2548 7 NorthWestern 1342 8 Sothern 2617 9 Western 1460 household size 18662 0 1 32 5.238 2.75 District 18662 0 101 907 490.973 251.968 CSA 18662 0 1 5154 2 3553 3 2789 4 2067 5 1726 6 841 7 721 8 525 9 281 10 230 11 220 12 65 13 40 14 125 15 25 16 75 17 75 18 25 19 25 20 25 26 25 28 50 SEA 18662 0 1 5665 2 6045 3 4638 4 1904 5 265 6 95 7 25 8 25 Rural/urban 18662 0 1 Rural 9132 2 Urban 9530 Stratum 18662 0 1 Small Scale 6836 2 Medium scale 960 3 Large Scale 38 4 Fish farming 1298 5 Non-Agric 6384 6 Low Cost 1796 7 Medium Cost 1350 8 High Cost 0 primary sampling unit ID 18662 0 110100101022 15 110100101132 15 110100102043 15 110100103062 15 110100104063 25 110100104074 25 110100112011 15 110100119044 15 110100213012 15 110100214062 15 110100215022 15 110100216053 15 110100304041 16 110100306013 15 110100309072 15 110100310082 15 110100311032 18 110100318043 17 110200414014 25 110200417021 25 110200418013 17 110200422012 25 110200424033 25 110200425023 15 110200501041 25 110200503021 25 110200503043 25 110200504032 25 110200507013 25 110200507021 25 110200508053 25 110200511042 25 110300603051 15 110300603061 15 110300604083 15 110300605064 25 110300605081 15 110300607014 15 110300607101 25 110300607123 25 110300607142 25 110300607163 25 110300608053 15 110300609012 15 110300609093 16 110300610041 15 110300611031 15 110300611074 15 110400701043 15 110400703013 25 110400703014 25 110400703021 25 110400703032 25 110400705033 15 110400705041 15 110400707021 16 110400708053 15 110400710013 15 110400811032 15 110400812052 15 110500901041 25 110500902022 15 110500904031 15 110501013031 15 110501016024 15 110501017021 25 110501017041 25 110501017053 25 110501019011 15 110501020041 17 110501107054 15 110501109063 15 110501114042 15 110501115023 15 110601201031 15 110601204032 15 110601209031 15 110601310042 15 110601314043 15 110601315031 15 110601406033 15 110601407023 15 110601412032 15 110601413041 25 110601413043 25 110601413052 25 220101501021 25 220101505012 25 220101506011 25 220101508014 25 220101511023 25 220101512012 25 220101517021 15 220101518041 15 220101519013 25 220101520024 15 220201601052 25 220201613012 25 220201617012 25 220201618033 25 220201620022 25 220201621024 15 220201623011 15 220201625014 15 220201702032 25 220201704022 25 220201707033 25 220201708013 25 220301801012 25 220301804012 25 220301807011 25 220301809012 25 220301812022 25 220301812026 25 220301812033 25 220301813011 15 220301814011 15 220301818013 25 220301818023 25 220301819041 25 220401901012 25 220401902081 25 220401903072 25 220401905011 25 220401906023 25 220402012051 25 220402013062 25 220402014012 15 220402015012 15 220402107033 25 220402108023 25 220402109052 25 220402110012 25 220402110042 25 220402110071 25 220402111012 25 220402216062 25 220402217032 25 220402220021 25 220402220032 25 220402221012 25 220402221013 25 220402322032 25 220402324031 25 220402325052 25 220502403022 25 220502404021 17 220502405052 15 220502406043 25 220502409012 25 220502410024 25 220502412023 25 220502413023 25 220502416011 25 220502502021 15 220502514014 25 220502519011 25 220502521024 25 220502524023 25 220603001031 15 220603002031 15 220603003041 15 220603004033 15 220603006013 15 220603008012 15 220603008034 15 220603009023 15 220603012013 15 220603012062 15 220702902043 15 220702904041 15 220703107021 15 220703108012 15 220703109012 15 220703110014 16 220703111021 15 220703112031 25 220703112032 25 220703114013 15 220803202033 15 220803202064 15 220803204011 15 220803206021 15 220803206041 25 220803206043 25 220803206051 25 220803207021 15 220803208041 15 220803211013 15 220902620013 25 220902621013 25 220902622052 25 220902624032 15 220902712014 25 220902717011 25 220902717032 25 220902725042 25 220902802023 15 220902805023 25 220902807032 25 220902813011 25 220902814012 25 220902815023 25 221003314022 25 221003316021 25 221003317014 25 221003318014 15 221003319021 25 221003319052 25 221003319081 15 221003319112 25 221003422013 25 221003423022 25 221003424033 25 221003425071 25 221003508014 25 221003510031 25 221003512033 25 221003513073 25 221003601031 25 221003602013 25 221003603011 25 221003603043 25 221003604032 25 221003604092 25 221003605034 25 221003605042 25 221003620042 25 221003626022 25 330103702021 15 330103704032 15 330103709023 15 330103710042 25 330103710043 25 330103712016 15 330103808015 15 330103815013 15 330103817015 15 330103820022 15 330203910032 25 330203910034 25 330203911011 15 330203917011 15 330203919013 15 330204002024 15 330204003023 15 330204006013 15 330204007013 15 330204009015 15 330304112022 15 330304114022 15 330304115031 15 330304115123 15 330304116041 15 330304117033 15 330304218071 15 330304218114 25 330304218115 25 330304218152 25 330304219014 18 330304219087 25 330304220061 15 330304220081 25 330304220102 25 330304220141 25 330304306052 15 330304307054 15 330304309014 15 330304309112 15 330304310081 15 330304401052 15 330304402051 15 330304403082 15 330304404071 15 330404502021 15 330404506041 15 330404507012 15 330404508021 15 330404525015 15 330404612031 25 330404612042 25 330404613011 15 330404613064 15 330404621033 15 330404622052 15 330404623052 15 330404709031 15 330404716022 15 330404718013 15 330404719031 15 330504819034 15 330504819061 25 330504820041 15 330504822031 15 330504825032 15 330504828053 15 330504901032 15 330504902034 15 330504903061 15 330504906041 15 330505009021 17 330505010052 15 330505012012 15 330505013051 15 330505014015 25 330505014018 25 330505014022 25 330505014052 15 330505015033 15 330505016071 15 330505017082 15 330605101012 15 330605102026 15 330605103011 25 330605103013 25 330605106022 15 330605106055 15 330605107013 15 330605108012 15 330605110013 15 330605111011 15 330705203041 15 330705204014 15 330705204073 15 330705205051 15 330705206031 25 330705206032 25 330705207023 15 330705208043 15 330705210031 15 330705211023 15 330805301015 15 330805302042 15 330805303041 16 330805304033 15 330805305031 15 330805306012 15 330805306082 15 330805307071 15 330805408015 15 330805409013 15 330805410013 15 330805411051 15 330805412042 15 330805413023 16 330805413081 25 330805413091 25 330805413104 25 330805516042 15 330805520013 15 440106501052 15 440106503031 15 440106503073 15 440106505011 15 440106506014 15 440106507022 15 440106508042 15 440106510022 15 440106511064 15 440106512061 15 440205607022 15 440205610041 25 440205610042 25 440205610053 25 440205712011 15 440205714023 15 440205717053 25 440205720011 15 440205803013 15 440205805021 15 440205806023 15 440205810012 15 440305901041 15 440305902021 15 440305903043 15 440305903092 25 440306005021 15 440306006011 15 440306008011 25 440306008023 25 440306008031 25 440306008062 15 440306009013 25 440306009041 25 440306011043 15 440306012031 15 440306014043 15 440306015071 15 440406101012 16 440406103011 15 440406103041 15 440406105012 15 440406106024 15 440406109015 15 440406111022 25 440406111023 25 440406111031 15 440406111044 15 440506202021 15 440506211011 15 440506213012 15 440506315033 15 440506318023 15 440506401023 15 440506403011 15 440506404021 15 440506406022 15 440506407023 15 440506408013 25 440506408023 25 440606601034 15 440606603021 15 440606604012 15 440606604043 25 440606606021 25 440606606022 25 440606607013 15 440606608011 15 440606609031 15 440606610044 15 440606611021 15 440606612044 15 440706710022 15 440706710044 25 440706710052 25 440706710054 25 440706710066 25 440706710084 25 440706711011 15 440706714073 15 440706719052 15 440706801011 15 440706802055 15 440706807014 15 440706807041 15 440706917012 15 550107306031 15 550107308022 15 550107308064 15 550107309013 15 550107309033 25 550107309062 15 550107310051 16 550107311012 16 550107311041 16 550107312024 15 550107313021 15 550107402031 15 550107403053 15 550107415032 15 550207003064 15 550207005011 25 550207006012 25 550207007012 25 550207007042 25 550207007063 25 550207007073 25 550207007102 25 550207007123 25 550207008023 15 550207210052 15 550207211064 15 550207212013 15 550207213011 15 550207214021 15 550207215022 15 550307101023 25 550307101032 25 550307103012 15 550307105012 15 550307107011 15 550307110011 15 550307111012 15 550307112012 15 550307113012 15 550307115012 15 550407521012 25 550407521032 25 550407521094 25 550407522052 25 550407522111 25 550407522173 25 550407523053 25 550407624031 25 550407624051 25 550407626041 25 550407627011 25 550407628011 25 550407628042 25 550407628053 25 550407628094 25 550407718013 25 550407718081 25 550407718191 25 550407718281 25 550407719012 25 550407719092 25 550407719201 25 550407719282 25 550407720031 25 550407720063 25 550407803023 25 550407803141 25 550407803172 25 550407825021 25 550407825073 25 550407829053 25 550407829102 25 550407829111 25 550407908052 25 550407909024 25 550407909074 25 550407909161 25 550407911063 25 550407911133 25 550407911261 25 550407912013 25 550407912071 25 550407913042 25 550407914042 25 550407915083 25 550407916091 25 550407917021 25 550407917083 25 550407917162 25 550408014103 25 550408016013 25 550408016142 25 550408030043 24 550408101033 25 550408101081 25 550408102052 25 550408102102 25 550408102113 25 550408102173 25 550408102184 25 550408104051 25 550408105023 25 550408105052 25 550408105054 25 550408105063 25 550408107051 25 660108201022 25 660108201032 25 660108202011 15 660108203021 15 660108206012 15 660108212022 15 660108213013 15 660108215013 15 660108217043 15 660108219022 15 660208302011 15 660208304022 15 660208305033 15 660208306064 25 660208307011 15 660208309021 15 660208309043 25 660208309072 25 660208310024 15 660208320022 15 660208412051 15 660208415012 15 660208415062 15 660208418023 15 660308510012 15 660308511033 15 660308512041 15 660308514041 15 660308601024 25 660308601044 25 660308601052 25 660308603031 15 660308604031 15 660308605022 15 660308606022 15 660308609013 15 660408801063 15 660408804022 15 660408815013 15 660408816013 15 660408902041 15 660408906012 15 660408908011 25 660408908013 25 660408909013 15 660408912011 15 660509002043 16 660509003031 15 660509005013 15 660509006032 25 660509006033 25 660509006093 25 660509006112 25 660509108012 25 660509109013 15 660509109054 25 660509110014 15 660509110044 15 660509110142 25 660509111032 15 660509112043 15 660509114013 15 660609312023 15 660609315032 15 660609316022 15 660609318011 25 660609318013 25 660609318053 15 660609403014 15 660609406041 20 660609408012 15 660609410032 15 660709505012 25 660709505025 25 660709505044 25 660709505072 25 660709505073 25 660709506062 15 660709507043 15 660709508052 15 660709604013 15 660709701043 15 660709709012 16 660709711022 15 660709713054 15 660709715024 15 660809801041 15 660809802031 15 660809803063 15 660809807012 15 660809808014 15 660809909021 15 660809916031 15 660809918043 15 660810012033 15 660810013032 25 660810013043 25 660810014024 25 660810014032 25 660810015043 15 660910110043 15 660910113023 15 660910115012 15 660910117041 15 660910120021 15 660910203012 15 660910205011 25 660910205013 25 660910206012 15 660910208033 15 661009602022 15 661009607032 15 661009607054 15 661009607071 25 661009607072 25 661009607082 25 661009609041 15 661009610063 15 661009611053 15 661009611086 15 661109202013 15 661109203032 15 661109204031 15 661109204104 15 661109206011 15 661109207072 16 661109208052 25 661109208053 25 661109208061 15 661109210064 15 661109211052 15 661109212023 15 661208701012 15 661208702014 15 661208703032 15 661208704044 15 661208707021 15 661208707032 15 661208709012 15 661208709051 15 661208709072 25 661208709083 25 661208709092 25 661208711032 15 770110301023 15 770110301033 15 770110302012 15 770110302022 15 770110303013 15 770110304013 15 770110306012 15 770110307013 15 770110312012 15 770210404011 15 770210414032 15 770210415012 15 770210416032 15 770210501022 15 770210512021 15 770210518061 25 770210518072 25 770210518081 25 770310313033 15 770310603011 15 770310607012 15 770310609011 25 770310609012 25 770310609013 25 770310612011 15 770310614012 15 770310617011 15 770310619012 15 770410701022 15 770410703012 15 770410704011 15 770410705032 25 770410706011 15 770410707022 15 770410710012 15 770410712023 15 770410715011 15 770510804013 15 770510814022 15 770510818032 15 770510901023 15 770510905062 25 770510906012 15 770510907023 15 770510908024 15 770510908033 25 770510908072 25 770611008012 15 770611008083 15 770611010061 15 770611010072 25 770611010081 25 770611011022 25 770611011052 25 770611011102 25 770611012041 25 770611012072 25 770611012081 25 770611012091 25 770611104022 15 770611109061 16 770611213021 15 770611213091 15 770611216023 15 770611218051 15 770611219052 15 770711303041 15 770711304022 15 770711305011 25 770711305013 21 770711305043 25 770711308021 15 770711309012 15 770711310032 15 770711412041 15 880111510013 15 880111511023 15 880111519011 15 880111520051 15 880111522012 25 880111522041 25 880111523013 25 880111523022 25 880111524032 25 880111525034 25 880111602021 15 880111602051 15 880111607061 15 880111709101 15 880111712022 15 880111713011 15 880211802012 15 880211802013 15 880211803042 15 880211805013 15 880211807014 15 880211809012 15 880211811011 15 880211812011 25 880211812013 25 880211812031 15 880313001011 15 880313001021 25 880313001031 15 880313002022 15 880313003023 15 880313005014 15 880313007022 15 880313008023 15 880313008032 25 880313010012 15 880411902015 15 880411903023 15 880411905022 15 880412006014 15 880412006051 15 880412007034 15 880412008061 25 880412008071 25 880412008083 25 880412009012 16 880412009111 15 880412011031 15 880412012021 17 880412217023 15 880412219012 15 880412220032 15 880512101012 15 880512103031 15 880512105011 15 880512106012 15 880512107032 15 880512107052 15 880512109022 15 880512110033 16 880512110074 15 880512112012 15 880612301021 25 880612302032 25 880612303013 25 880612305034 25 880612305041 25 880612305052 25 880612306034 25 880612307041 25 880612308012 25 880612309012 25 880612311013 25 880612313011 25 880612315012 25 880612315021 15 880712409021 15 880712410021 15 880712411111 15 880712418012 15 880712501023 15 880712504012 15 880712505061 15 880712507012 15 880712507054 15 880712612012 32 880712612043 25 880712612054 25 880712612074 25 880712614031 40 880712614032 25 880712617013 15 880812702012 15 880812703061 15 880812705021 15 880812706022 15 880812811011 15 880812811051 15 880812812032 15 880812813031 25 880812813043 25 880812814041 15 880812817022 15 880812818072 15 880812820032 25 880812820033 25 880812820053 25 880812907052 15 880913101031 25 880913102011 15 880913104011 16 880913105022 15 880913107012 15 880913108021 15 880913108032 15 880913109013 15 880913111011 15 880913111021 25 880913111032 15 880913112023 15 881013201021 15 881013202023 15 881013203023 15 881013205031 25 881013205032 25 881013205044 25 881013206013 15 881013209011 15 881013210011 15 881013212011 15 881113303021 15 881113305012 15 881113306011 15 881113306051 15 881113307011 25 881113307014 25 881113307024 25 881113307032 25 881113309015 15 881113311034 15 881113311064 15 881113312011 15 990113404024 15 990113405043 15 990113409011 15 990113410011 25 990113410024 25 990113412022 15 990113519021 15 990113520051 15 990113525012 15 990113607031 15 990113615033 15 990113622012 15 990213704021 15 990213705013 15 990213705042 15 990213706033 25 990213706051 25 990213706054 25 990213706061 15 990213801012 15 990213807043 15 990213814011 15 990213818052 15 990213906021 15 990213908021 15 990213916014 15 990314001011 15 990314005011 15 990314006021 15 990314007021 15 990314007022 15 990314012021 25 990314012031 15 990314013012 15 990314114022 15 990314117012 15 990414208062 25 990414209011 15 990414219063 15 990414220043 15 990414301013 25 990414301032 25 990414303022 25 990414304011 25 990414304021 25 990414305023 25 990414305025 25 990414312043 15 990414315021 15 990414317022 15 990414422023 15 990414424034 15 990514501052 15 990514502051 15 990514503042 15 990514504033 15 990514605053 15 990514608031 15 990514611013 15 990514612021 25 990514612022 25 990514613023 15 990514614032 15 990514615033 15 990614813012 15 990614814023 15 990614906012 15 990614910014 15 990615002011 15 990615004014 15 990615004051 25 990615004052 25 990615005023 15 990615017012 15 990714701011 15 990714702034 15 990714705013 15 990714706042 15 990714708041 15 990714709052 15 990714710044 15 990714710051 25 990714710052 25 990714712033 15 weight from roster, corrected 18662 0 2.168 1138.703 122.414 106.855 population inflation factor, weight_roster x hhsize) 18662 0 2.168 8748.858 628.13 683.057 adult equivalent scale, CSO 18662 0 1 27.17 4.552 2.398 adult equivalent scale, WHO 18662 0 0.91 27.9 4.656 2.439 adult equivalent scale, FAO 18662 0 0.73 24.68 4.109 2.193 maize grain own produced/gifts, annual nominal 18662 0 0 210600000 337096.602 2069114.15 cassava own produced/gifts, annual nominal 18662 0 0 93600000 98723.862 861045.147 millet own produced/gifts, annual nominal 18662 0 0 31200000 16914.445 355356.099 sorghum own produced/gifts, annual nominal 18662 0 0 8320000 8957.127 126266.212 rice own produced/gifts, annual nominal 18662 0 0 14300000 20291.649 252913.032 sweet potatoes own produced/gifts, annual nominal 18662 0 0 65000000 12218.522 546255.192 irish potatoes own produced/gifts, annual nominal 18662 0 0 22880000 6626.294 241395.81 ground nuts own produced/gifts, annual nominal 18662 0 0 45500000 54765.103 544877.291 kapenta own produced/gifts, annual nominal 18662 0 0 7800000 7284.328 123751.657 fish own produced/gifts, annual nominal 18662 0 0 18200000 38010.361 368965.268 cow meat own produced/gifts, annual nominal 18662 0 0 13000000 14131.749 222020.587 goat meat own produced/gifts, annual nominal 18662 0 0 13000000 23841.04 224460.918 sheep meat own produced/gifts, annual nominal 18662 0 0 18641 52000 1 65000 1 78000 1 104000 1 130000 2 208000 1 260000 3 416000 1 520000 1 1040000 2 1294758.85324888 1 1300000 1 1430000 1 2860000 1 3900000 1 4680000 1 6500000 1 pig meat own produced/gifts, annual nominal 18662 0 0 23400000 16319.942 272382.373 game meat own produced/gifts, annual nominal 18662 0 0 10400000 7046.137 145596.228 other poultry own produced/gifts, annual nominal 18662 0 0 18662 chicken own produced/gifts, annual nominal 18662 0 0 104000000 157749.136 1155360.559 beans own produced/gifts, annual nominal 18662 0 0 19968000 26751.797 252825.46 tomatoes own produced/gifts, annual nominal 18662 0 0 11700000 20830.399 216038.309 onions own produced/gifts, annual nominal 18662 0 0 58500000 19525.703 504136.084 other vegetables own produced/gifts, annual nominal 18662 0 0 18662 fruits own produced/gifts, annual nominal 18662 0 0 18662 bread own produced/gifts, annual nominal 18662 0 0 23400000 20088.331 404004.613 eggs own produced/gifts, annual nominal 18662 0 0 33696000 35115.973 476767.305 milk own produced/gifts, annual nominal 18662 0 0 40768000 31056.285 631937.375 milk powdererd own produced/gifts, annual nominal 18662 0 0 18641 65000 1 78000 1 104000 3 130000 2 156000 2 195000 1 208000 1 260000 2 390000 1 468000 2 520000 1 650000 1 686400 1 780000 1 832000 1 butter own produced/gifts, annual nominal 18662 0 0 18635 52000 1 65000 2 78000 2 91000 1 104000 3 130000 8 156000 1 182000 2 260000 2 286000 1 468000 1 1560000 2 1976000 1 sugar own produced/gifts, annual nominal 18662 0 0 13000000 8283.93 189401.406 honey own produced/gifts, annual nominal 18662 0 0 33800000 8140.862 275149.245 salt own produced/gifts, annual nominal 18662 0 0 4680000 2741.062 59168.289 cooking oil own produced/gifts, annual nominal 18662 0 0 23400000 18854.499 347382.651 non-alcoholic beverages own produced/gifts, annual nominal 18662 0 0 10400000 15607.175 192410.431 tea, coffee own produced/gifts, annual nominal 18662 0 0 8320000 1238.978 65781.563 baby foods own produced/gifts, annual nominal 18662 0 0 18652 65000 1 104000 1 208000 1 260000 1 364000 1 390000 1 416000 1 520000 1 1040000 1 1820000 1 Total food consumption own produced/gifts, annual nominal 18662 0 0 210600000 1030736.751 3457060.263 cassava purchased (2 weeks/1 month), annual nominal 18662 0 0 5200000 22109.549 117052.572 millet purchased (2 weeks/1 month), annual nominal 18662 0 0 3640000 2928.368 44852.775 sorghum purchased (2 weeks/1 month), annual nominal 18662 0 0 2600000 1927.114 34459.722 rice purchased (2 weeks/1 month), annual nominal 18662 0 0 13000000 122772.482 265315.071 sweet potatoes purchased (2 weeks/1 month), annual nominal 18662 0 0 2600000 5661.794 50547.767 irish potatoes purchased (2 weeks/1 month), annual nominal 18662 0 0 6500000 56947.208 163430.6 ground nuts purchased (2 weeks/1 month), annual nominal 18662 0 0 2400000 40223.198 105968.513 kapenta purchased (2 weeks/1 month), annual nominal 18662 0 0 9600000 145731.727 222986.444 fish purchased (2 weeks/1 month), annual nominal 18662 0 0 13000000 199740.751 350516.883 cow meat purchased (2 weeks/1 month), annual nominal 18662 0 0 20800000 230909.638 617877.688 goat meat purchased (2 weeks/1 month), annual nominal 18662 0 0 6500000 32915.207 167208.479 sheep meat purchased (2 weeks/1 month), annual nominal 18662 0 0 6000000 2266.445 64300.055 pig meat purchased (2 weeks/1 month), annual nominal 18662 0 0 6000000 35594.92 153359.32 game meat purchased (2 weeks/1 month), annual nominal 18662 0 0 9600000 30993.913 175783.184 other poultry purchased (2 weeks/1 month), annual nominal 18662 0 0 15600000 8652.502 154705.615 chicken purchased (2 weeks/1 month), annual nominal 18662 0 0 24000000 269139.281 527902.582 beans purchased (2 weeks/1 month), annual nominal 18662 0 0 13000000 98983.855 180812.13 tomatoes purchased (2 weeks/1 month), annual nominal 18662 0 0 13000000 119077.908 199231.482 onions purchased (2 weeks/1 month), annual nominal 18662 0 0 3900000 60394.738 119992.643 other vegetables purchased (2 weeks/1 month), annual nominal 18662 0 0 24180000 150572.89 313725.044 fruits purchased (2 weeks/1 month), annual nominal 18662 0 0 3600000 40746.182 139053.895 bread purchased (2 weeks/1 month), annual nominal 18662 0 0 58240000 236516.705 660274.709 eggs purchased (2 weeks/1 month), annual nominal 18662 0 0 9360000 87618.191 205623.642 milk purchased (2 weeks/1 month), annual nominal 18662 0 0 11700000 78768.98 222823.126 milk powdererd purchased (2 weeks/1 month), annual nominal 18662 0 0 3120000 19597.336 101244.363 butter purchased (2 weeks/1 month), annual nominal 18662 0 0 2640000 45851.497 119100.535 sugar purchased (2 weeks/1 month), annual nominal 18662 0 0 9180000 180530.288 253524.481 honey purchased (2 weeks/1 month), annual nominal 18662 0 0 1820000 6690.195 54205.265 salt purchased (2 weeks/1 month), annual nominal 18662 0 0 2600000 44918.92 65166.859 cooking oil purchased (2 weeks/1 month), annual nominal 18662 0 0 6760000 206354.271 247956.187 non-alcoholic beverages purchased (2 weeks/1 month), annual nominal 18662 0 0 11700000 73139.504 247802.375 tea, coffee purchased (2 weeks/1 month), annual nominal 18662 0 0 25480000 46917.685 220176.234 baby foods purchased (2 weeks/1 month), annual nominal 18662 0 0 5200000 19270.496 146624.804 maize meal purchased (2 weeks/1 month), annual nominal 18662 0 0 21600000 375298.076 569229.442 baby foods (2 weeks/1 month), annual nominal 18662 0 0 5200000 19548.441 147775.363 Total food consumption purchased, annual nominal 18662 0 0 70824000 3099761.814 3637578.483 total staple consumption per adult equivalent cso-scale, annual nominal 18662 0 0 7894942349.97 768259.288 57831549.166 Total food consumption (excl. staple imputation), annual nominal 18662 0 0 30001262024 5344668.808 220109562.884 Maize breakfast mealie meal (2 weeks/1 month), annual nominal 18662 0 0 21600000 195862.768 510238.921 Maize roller mealie meal (2 weeks/1 month), annual nominal 18662 0 0 14400000 40402.435 216291.149 Maize hammermilled meal (2 weeks/1 month), annual nominal 18662 0 0 5400000 17382.381 99456.681 Maize grain (2 weeks/1 month), annual nominal 18662 0 0 210600000 413612.876 2080394.415 Maize grinding (2 weeks/1 month), annual nominal 18662 0 0 6000000 45134.218 105550.921 maize (2 weeks/1 month), annual nominal 18662 0 0 210600000 712394.678 2127532.603 cassava (2 weeks/1 month), annual nominal 18662 0 0 93600000 120833.411 869690.991 millet (2 weeks/1 month), annual nominal 18662 0 0 31200000 19842.813 358328.954 sorghum (2 weeks/1 month), annual nominal 18662 0 0 8320000 10884.241 131106.236 rice (2 weeks/1 month), annual nominal 18662 0 0 14960000 143064.131 366315.576 sweet potatoes (2 weeks/1 month), annual nominal 18662 0 0 65000000 17880.316 548532.268 irish potatoes (2 weeks/1 month), annual nominal 18662 0 0 22880000 63573.502 290885.877 ground nuts (2 weeks/1 month), annual nominal 18662 0 0 45500000 94988.301 553617.84 kapenta (2 weeks/1 month), annual nominal 18662 0 0 9750000 153016.055 259735.65 fish (2 weeks/1 month), annual nominal 18662 0 0 18320000 237751.113 499384.17 cow meat (2 weeks/1 month), annual nominal 18662 0 0 20800000 245041.387 652779.376 goat meat (2 weeks/1 month), annual nominal 18662 0 0 13000000 56756.247 279529.29 sheep meat (2 weeks/1 month), annual nominal 18662 0 0 6500000 3687.93 96264.05 pig meat (2 weeks/1 month), annual nominal 18662 0 0 23400000 51914.862 311120.63 game meat (2 weeks/1 month), annual nominal 18662 0 0 10400000 38040.049 229415.518 other poultry (2 weeks/1 month), annual nominal 18662 0 0 15600000 8652.502 154705.615 chicken (2 weeks/1 month), annual nominal 18662 0 0 104000000 426888.417 1244076.274 beans (2 weeks/1 month), annual nominal 18662 0 0 19968000 125735.651 303708.667 tomatoes (2 weeks/1 month), annual nominal 18662 0 0 13000000 139908.307 288318.978 onions (2 weeks/1 month), annual nominal 18662 0 0 58500000 79920.441 516262.746 other vegetables (2 weeks/1 month), annual nominal 18662 0 0 24180000 150572.89 313725.044 fruits (2 weeks/1 month), annual nominal 18662 0 0 3600000 40746.182 139053.895 bread (2 weeks/1 month), annual nominal 18662 0 0 58240000 256605.035 769311.172 eggs (2 weeks/1 month), annual nominal 18662 0 0 34476000 122734.164 517047.149 milk (2 weeks/1 month), annual nominal 18662 0 0 40768000 109825.265 669454.815 milk powdererd (2 weeks/1 month), annual nominal 18662 0 0 3120000 19958.733 102087.703 butter (2 weeks/1 month), annual nominal 18662 0 0 2640000 46316.131 121184.771 sugar (2 weeks/1 month), annual nominal 18662 0 0 13416000 188814.218 314491.969 honey (2 weeks/1 month), annual nominal 18662 0 0 33800000 14831.057 280282.902 salt (2 weeks/1 month), annual nominal 18662 0 0 4706000 47659.982 87505.327 cooking oil (2 weeks/1 month), annual nominal 18662 0 0 23832000 225208.77 421601.273 non-alcoholic beverages (2 weeks/1 month), annual nominal 18662 0 0 11700000 88746.679 312584.687 tea, coffee (2 weeks/1 month), annual nominal 18662 0 0 25480000 48156.662 229574.683 alcoholic beverages own produced/gifts, annual nominal 18662 0 0 9750000 7139.969 144871.497 cigarettes own produced/gifts, annual nominal 18662 0 0 1560000 599.218 19402.351 alcoholic beverages purchased (2 weeks/1 month), annual nominal 18662 0 0 20800000 135742.461 687505.029 cigarettes purchased (2 weeks/1 month), annual nominal 18662 0 0 15600000 16158.851 167823.585 Chitenge (based on 1 month/1 year), annual nominal 18662 0 0 49200000 147060.984 635932.598 Clothing (based on 1 month/1 year), annual nominal 18662 0 0 144000000 559986.671 1858790.021 Fabric (based on 1 month/1 year), annual nominal 18662 0 0 48000000 39151.168 500758.677 Tailor charges (based on 1 month/1 year), annual nominal 18662 0 0 60000000 47954.464 533211.259 Footwear (based on 1 month/1 year), annual nominal 18662 0 0 60000000 334217.961 1035243.548 Laundry services (based on 1 month/1 year), annual nominal 18662 0 0 6000000 7387.164 93454.288 Charcoal own produced/gifts (based on 1 month/1 year), annual nominal 18662 0 0 12000000 13861.516 189750.362 Charcoal purchased (based on 1 month/1 year), annual nominal 18662 0 0 10800000 108791.705 253180.257 Paraffin (based on 1 month/1 year), annual nominal 18662 0 0 2880000 33776.78 80493.457 Firewood (based on 1 month/1 year), annual nominal 18662 0 0 14400000 6738.411 127974.462 Diesel (based on 1 month/1 year), annual nominal 18662 0 0 12000000 8065.282 109156.06 Public transport to/from work (based on 1 month/1 year), annual nominal 18662 0 0 63360000 120492.934 838451.491 Other public transport (based on 1 month/1 year), annual nominal 18662 0 0 84000000 198232.448 993112.918 Private transport, fuel, (based on 1 month/1 year) annual nominal 18662 0 0 120000000 231912.682 2154143.462 Private transport, vehicle maintenance, (based on 1 month/1 year) annual nominal 18662 0 0 91200000 155779.834 1955473.749 Private transport, motorbike repairs, (based on 1 month/1 year) annual nominal 18662 0 0 8400000 4563.546 136660.429 Private transport, bicycle repairs, (based on 1 month/1 year) annual nominal 18662 0 0 9000000 34452.567 161385.413 Private transport, boat/canoe repairs, (based on 1 month/1 year) annual nominal 18662 0 0 3600000 1202 36575.422 Cleaning equipment (based on 1 month / 1 year), annual nominal 18662 0 0 24000000 74345.273 313671.158 Candles (based on 1 month/1 year), annual nominal 18662 0 0 5940000 45291.523 106356.908 Housing maintenance (based on 1 month/1 year, annual nominal 18662 0 0 32400000 38043.977 554042.086 Toiletries and other personal hygiene (based on 1 month/1 year), annual nominal 18662 0 0 24000000 376907.369 759157.032 Cosmetics (based on 1 month/1 year), annual nominal 18662 0 0 10800000 156249.874 391519.421 Hair dressing (based on 1 month/1 year), annual nominal 18662 0 0 17400000 134259.035 414495.407 Telephone/talktime (based on 1 month/ 1 year), annual nonimal 18662 0 0 180000000 329214.439 1762300.986 Cable TV (based on 1 month/ 1 year), annual nonimal 18662 0 0 45600000 92626.912 881250.136 Domestic servants (based on 1 month/ 1 year), annual nonimal 18662 0 0 25200000 72686.443 560280.362 Entertainment (based on 1 month/ 1 year), annual nonimal 18662 0 0 60000000 37275.663 642028.564 Batteries (based on 1 month/ 1 year), annual nonimal 18662 0 0 6000000 32985.416 117664.779 Stamps (based on 1 month/ 1 year), annual nonimal 18662 0 0 4680000 6669.489 71905.904 Water based on average month (sec8), annual nominal 18281 381 0 984000 74397.83 168761.59 actual water expenditure if available, imputed otherwise if service used, annual 18662 0 0 1290868.356 104502.687 191068.458 Actual rent based on average month (sec8), annual nominal 3733 14929 0 12000000 1877398.772 2239393.234 Electricity based on average month (sec8), annual nominal 4509 14153 0 996000 363805.823 305932.181 Actual rent based on last one month (sec12), annual nominal 18602 60 0 12000000 358735.757 1227996.162 Water based on last one month (sec12), annual nominal 18249 413 0 984000 67486.668 162986.377 Electricity based on last one month (sec12), annual nominal 17775 887 0 996000 85323.564 213044.571 statistical imputed rent for all households (hedonic housing reg), annual nomina 18661 1 112383.995 18996234.117 1610536.334 2196410.727 actual rent if available, imputed rent otherwise, annual nominal 18662 0 12000 108000000 1528160.81 3038475.527 statistical imputed water expenditure for hhs using piped water, annual nominal 6537 12125 24228.314 1290868.356 294514.453 199432.083 statistical imputed electricity expenditure for hhs using electricity, annual no 5333 13329 145765.18 2195760.901 661122.344 212591.966 actual electricity expenditure if available, imputed otherwise if service used, 18662 0 0 2195760.901 167132.863 297773.283 alcoholic beverages (2 weeks/1 month), annual nominal 18662 0 0 20800000 142882.43 706867.653 cigarettes (2 weeks/1 month), annual nominal 18662 0 0 15600000 16758.069 169369.756 Total value of alcohol and cigarettes, annual nominal 18662 0 0 20885800 159640.498 750354.249 Total value of clothing and laundry, annual nominal 18662 0 0 256200000 1135758.412 3250524.188 Charcoal, annual nominal 18662 0 0 12000000 122653.221 313700.784 Total value of public/private transport, annual nominal 18662 0 0 144000000 746636.012 3858914.282 Total value of furnishings, cleanings and housing maintenance, annual nominal 18662 0 0 32880000 157680.773 673088.866 Total value of personal hygiene and cosmetics, annual nominal 18662 0 0 31800000 667416.279 1235885.111 Total value of other freq. non-food, annual nominal 18662 0 0 186432000 571458.362 2536428.944 Total value of fuel (elect, charcoal, paraffin, firewood), annual nominal 18662 0 0 15036000 338366.558 483727.203 Total value of frequent non-food expenditure (excl. education/health), annual no 18662 0 12000 396490845.497 5409620.392 10302787.914 tution/school fees incl. examination fees, annual (T1+T2+T3) nominal 18662 0 0 138000000 376189.845 1908444.829 school uniforms, annual (T1+T2+T3) nominal 18662 0 0 8000000 84134.394 254052.941 contribution to school and PTA, annual (T1+T2+T3) nominal 18662 0 0 4000000 13558.114 72659.956 private tution, annual (T1+T2+T3) nominal 18662 0 0 9000000 17552.27 171727.68 books and stationary, annual (T1+T2+T3) nominal 18662 0 0 8210000 35849.582 127780.887 transport to/from school (based on 1 month/1 year), annual nominal 18662 0 0 36000000 64463.963 631428.158 other education expenditure, annual (T1+T2+T3) nominal 18662 0 0 13500000 23139.715 195036.966 total value of education, annual (T1+T2+T3) nominal 18662 0 0 138700000 614887.882 2341900.415 fees to doctor, assistant, midwive, nurse (based on 1 month/1 year), annual nomi 18662 0 0 12000000 16327.393 210621.896 medicines (based on 1 month/1 year), annual nominal 18662 0 0 30000000 77805.389 531041.468 fees to traditional healers (based on 1 month/1 year), annual nominal 18662 0 0 7200000 10153.387 136833.907 payments to hospital/health center (based on 1 month/1 year), annual nominal 18662 0 0 60000000 27910.361 662438.982 pre-payment scheme (based on 1 month/1 year), annual nominal 18662 0 0 11000000 6670.877 130433.222 total value of health including hospital payments, annual nominal 18662 0 0 93600000 138867.406 1127667.776 Total food consumption (excl. staple imputation), annual nominal 18662 0 0 229918000 4130498.565 5008529.536 Total food consumption (incl. staple imputation), annual nominal 18662 0 38400 229918000 4134985.754 5006593.595 Total food consumption per ADQ cso-scale, monthly regional deflated 18662 0 678.643 17256666.693 88808.193 163474.491 Total food and non-food expenditure (incl. education/health), annual nominal 18662 0 148000 513240845.497 10298361.434 15131693.18 Total food and non-food consumption per ADQ cso-scale, monthly regional deflated 18662 0 4176.012 29822809.443 217213.046 404208.485 household consumes any staple (1=yes) 18662 0 0 100 1 18562 total staple consumption, annual nominal 18662 0 0 30000781024 3279222.549 219699045.496 imputed total staple consumption (per hh) if hhstaple == 0, annual nominal 18662 0 0 2847048.055 4487.189 72691.862 total staple consumption per adult equivalent cso-scale, annual nominal 18662 0 0 7894942349.97 840192.084 57831153.878 food price deflator 18662 0 0.925292134284973 2617 0.927056133747101 1602 0.938247501850128 2548 0.962833046913147 2062 0.978753745555878 1511 0.988520801067352 3158 1.08641266822815 1342 1.0922611951828 1460 1.11028587818146 2362 price deflator 18662 0 0.956264674663544 2617 0.957297384738922 1602 0.963849008083344 2548 0.978241801261902 2062 0.98756206035614 1511 0.993279874324799 3158 1.05058753490448 1342 1.05401134490967 1460 1.06456327438354 2362 indicator variable for hhs used for poverty analysis (1 = yes) 18662 0 0 24 1 18638 household is extremely poor 18662 0 0 13785 1 4877 household is moderately poor 18662 0 0 1 0.201 0.401 household is poor 18662 0 0 10034 1 8628 household above poverty line 18662 0 0 1 0.538 0.499 18638 24 1 3 1 Extremely Poor 4869 2 Moderately Poor 3741 3 Non-Poor 10028 Province 97750 0 1 Central 8673 2 Copperbelt 16636 3 Eastern 10590 4 Luapula 8020 5 Lusaka 11940 6 Northern 13106 7 NorthWestern 7206 8 Sothern 13901 9 Western 7678 District 97750 0 101 907 490.671 253.441 Constituency 97750 0 1 150 73.452 42.256 Ward 97750 0 1 30 10.208 6.345 CSA 97750 0 1 28 3.624 3.245 SEA 97750 0 1 29930 2 31704 3 24031 4 10000 5 1380 6 479 7 110 8 116 Rural/urban 97750 0 1 Rural 47263 2 Urban 50487 Stratum 97750 0 1 Small Scale 35296 2 Medium scale 7083 3 Large Scale 326 4 Fish farming 4558 5 Non-Agric 33217 6 Low Cost 10098 7 Medium Cost 7172 8 High Cost 0 Household number 97750 0 1 8881 72.6 121.175 Person id 97750 0 1 32 3.841 2.596 Agecode 97748 2 1 years 86014 2 months 11734 Sysmiss 2 Age in months & years 97735 15 0 99 24.174 15.896 Relationship 97748 2 1 Head 18680 2 Spouse 13195 3 own Child 47046 4 step Child 872 5 Adopted Child 120 6 Grand Child 6514 7 Brother/Sister 3025 8 Cousin 615 9 Niece/Nephew 4486 10 Brother/Sister in Law 1496 11 Parent 383 12 Parent in law 236 13 Other Relative 644 14 Maid/nanny/houseservant 120 15 Non-Relative 315 27 1 Sysmiss 2 Sex 97747 3 1 Male 48096 2 Female 49651 Sysmiss 3 6.Does .... have any disability? 97746 4 1 Yes 1351 2 No 96394 7 1 Sysmiss 4 Disable1 1328 96422 1 Blind 103 2 Partially sighted 342 3 Deaf 140 4 Dumb 51 5 Physically disabled 480 6 Mentally retarded 103 7 Mentally ill 88 8 Ex-mental 19 9 None 2 Sysmiss 96422 Disable2 257 97493 1 Blind 42 2 Partially sighted 33 3 Deaf 24 4 Dumb 49 5 Physically disabled 42 6 Mentally retarded 20 7 Mentally ill 6 8 Ex-mental 7 9 None 34 Sysmiss 97493 Disable3 32 97718 1 Blind 2 2 Partially sighted 2 3 Deaf 2 4 Dumb 2 5 Physically disabled 7 6 Mentally retarded 6 7 Mentally ill 4 8 Ex-mental 1 9 None 6 Sysmiss 97718 Residing 12 ago 97716 34 1 Same dwelling 83341 2 Different dwelling,same locality same district 9335 3 Different locality/same district 1268 4 Different district,same province 1070 5 Different province 1190 6 Different Country 35 7 Not Applicable 1477 Sysmiss 34 District residing 12mth ago 2258 95492 1 906 435.889 239.991 Was the part of the district ... was residing 12 months..? 3524 94226 1 Rural 1439 2 Urban 2085 Sysmiss 94226 Why did ... move from his/her previous residence 3544 94206 1 For school 149 2 Back from school/studies 33 3 To seek work/business 185 4 To start work/business 196 5 Transfer of head of household 1037 6 Previous household could not afford to keep him/her 122 7 Death of Parent/Guardian 166 8 Got married 116 9 New household 94 10 Retirement 8 11 Retrenchment 25 12 Decide to resettle 500 13 Acquired own/different accomodation 223 14 Found new agricultural land 119 15 Other 571 Sysmiss 94206 Indicator of each first matching case as Primary 97750 0 0 Duplicate Case 0 1 Primary Case 97750 Household ID (unique) 97750 0 Province 97681 69 1 Central 8659 2 Copperbelt 16634 3 Eastern 10590 4 Luapula 8020 5 Lusaka 11918 6 Northern 13099 7 NorthWestern 7198 8 Sothern 13885 9 Western 7678 Sysmiss 69 household size 97681 69 1 32 6.682 3.052 primary sampling unit ID 97681 0 110100101022 80 110100101132 112 110100102043 57 110100103062 86 110100104063 148 110100104074 87 110100112011 57 110100119044 111 110100213012 73 110100214062 102 110100215022 118 110100216053 67 110100304041 128 110100306013 83 110100309072 96 110100310082 73 110100311032 120 110100318043 110 110200414014 136 110200417021 90 110200418013 73 110200422012 126 110200424033 110 110200425023 63 110200501041 112 110200503021 135 110200503043 117 110200504032 124 110200507013 142 110200507021 160 110200508053 133 110200511042 127 110300603051 101 110300603061 66 110300604083 93 110300605064 133 110300605081 90 110300607014 86 110300607101 145 110300607123 114 110300607142 91 110300607163 114 110300608053 81 110300609012 92 110300609093 106 110300610041 80 110300611031 103 110300611074 76 110400701043 76 110400703013 115 110400703014 118 110400703021 142 110400703032 113 110400705033 76 110400705041 103 110400707021 74 110400708053 82 110400710013 83 110400811032 68 110400812052 67 110500901041 101 110500902022 88 110500904031 93 110501013031 85 110501016024 71 110501017021 168 110501017041 136 110501017053 121 110501019011 80 110501020041 112 110501107054 105 110501109063 116 110501114042 80 110501115023 66 110601201031 75 110601204032 89 110601209031 73 110601310042 99 110601314043 76 110601315031 71 110601406033 110 110601407023 87 110601412032 81 110601413041 119 110601413043 131 110601413052 182 220101501021 84 220101505012 192 220101506011 167 220101508014 134 220101511023 145 220101512012 125 220101517021 37 220101518041 53 220101519013 122 220101520024 61 220201601052 109 220201613012 138 220201617012 142 220201618033 148 220201620022 170 220201621024 58 220201623011 61 220201625014 55 220201702032 163 220201704022 161 220201707033 156 220201708013 143 220301801012 117 220301804012 120 220301807011 158 220301809012 135 220301812022 118 220301812026 105 220301812033 144 220301813011 87 220301814011 65 220301818013 87 220301818023 165 220301819041 165 220401901012 136 220401902081 143 220401903072 126 220401905011 138 220401906023 133 220402012051 131 220402013062 124 220402014012 80 220402015012 57 220402107033 151 220402108023 137 220402109052 131 220402110012 159 220402110042 129 220402110071 132 220402111012 98 220402216062 147 220402217032 137 220402220021 141 220402220032 177 220402221012 105 220402221013 101 220402322032 112 220402324031 159 220402325052 132 220502403022 115 220502404021 84 220502405052 87 220502406043 134 220502409012 161 220502410024 135 220502412023 125 220502413023 124 220502416011 167 220502502021 54 220502514014 140 220502519011 130 220502521024 177 220502524023 142 220603001031 88 220603002031 65 220603003041 87 220603004033 68 220603006013 77 220603008012 61 220603008034 75 220603009023 78 220603012013 94 220603012062 95 220702902043 69 220702904041 78 220703107021 59 220703108012 67 220703109012 66 220703110014 81 220703111021 70 220703112031 143 220703112032 131 220703114013 86 220803202033 93 220803202064 93 220803204011 65 220803206021 67 220803206041 146 220803206043 78 220803206051 145 220803207021 78 220803208041 74 220803211013 78 220902620013 132 220902621013 132 220902622052 144 220902624032 63 220902712014 136 220902717011 151 220902717032 148 220902725042 136 220902802023 74 220902805023 163 220902807032 140 220902813011 119 220902814012 116 220902815023 135 221003314022 115 221003316021 163 221003317014 101 221003318014 61 221003319021 148 221003319052 117 221003319081 73 221003319112 102 221003422013 158 221003423022 130 221003424033 142 221003425071 105 221003508014 137 221003510031 136 221003512033 141 221003513073 170 221003601031 133 221003602013 112 221003603011 143 221003603043 113 221003604032 139 221003604092 137 221003605034 88 221003605042 106 221003620042 106 221003626022 133 330103702021 78 330103704032 92 330103709023 70 330103710042 159 330103710043 144 330103712016 74 330103808015 81 330103815013 64 330103817015 70 330103820022 52 330203910032 135 330203910034 149 330203911011 81 330203917011 82 330203919013 68 330204002024 85 330204003023 66 330204006013 59 330204007013 69 330204009015 71 330304112022 79 330304114022 55 330304115031 91 330304115123 67 330304116041 68 330304117033 96 330304218071 64 330304218114 141 330304218115 125 330304218152 94 330304219014 97 330304219087 110 330304220061 87 330304220081 157 330304220102 136 330304220141 122 330304306052 86 330304307054 91 330304309014 90 330304309112 66 330304310081 75 330304401052 90 330304402051 100 330304403082 71 330304404071 75 330404502021 91 330404506041 67 330404507012 80 330404508021 73 330404525015 87 330404612031 117 330404612042 177 330404613011 72 330404613064 69 330404621033 62 330404622052 76 330404623052 68 330404709031 59 330404716022 49 330404718013 62 330404719031 55 330504819034 96 330504819061 127 330504820041 73 330504822031 81 330504825032 73 330504828053 62 330504901032 86 330504902034 94 330504903061 84 330504906041 79 330505009021 158 330505010052 74 330505012012 75 330505013051 67 330505014015 114 330505014018 116 330505014022 133 330505014052 83 330505015033 89 330505016071 75 330505017082 87 330605101012 75 330605102026 78 330605103011 139 330605103013 141 330605106022 66 330605106055 80 330605107013 73 330605108012 59 330605110013 98 330605111011 48 330705203041 70 330705204014 79 330705204073 82 330705205051 91 330705206031 121 330705206032 142 330705207023 83 330705208043 62 330705210031 75 330705211023 74 330805301015 81 330805302042 62 330805303041 76 330805304033 71 330805305031 58 330805306012 74 330805306082 79 330805307071 83 330805408015 65 330805409013 74 330805410013 69 330805411051 68 330805412042 79 330805413023 71 330805413081 132 330805413091 161 330805413104 120 330805516042 72 330805520013 87 440106501052 82 440106503031 69 440106503073 60 440106505011 85 440106506014 73 440106507022 75 440106508042 51 440106510022 73 440106511064 72 440106512061 81 440205607022 82 440205610041 175 440205610042 178 440205610053 159 440205712011 73 440205714023 87 440205717053 133 440205720011 95 440205803013 90 440205805021 82 440205806023 70 440205810012 65 440305901041 79 440305902021 69 440305903043 68 440305903092 137 440306005021 70 440306006011 73 440306008011 130 440306008023 142 440306008031 152 440306008062 76 440306009013 142 440306009041 151 440306011043 62 440306012031 79 440306014043 93 440306015071 74 440406101012 98 440406103011 65 440406103041 64 440406105012 60 440406106024 87 440406109015 101 440406111022 161 440406111023 134 440406111031 97 440406111044 85 440506202021 95 440506211011 99 440506213012 88 440506315033 77 440506318023 67 440506401023 62 440506403011 76 440506404021 81 440506406022 75 440506407023 67 440506408013 148 440506408023 154 440606601034 68 440606603021 75 440606604012 64 440606604043 118 440606606021 119 440606606022 144 440606607013 56 440606608011 52 440606609031 76 440606610044 62 440606611021 68 440606612044 67 440706710022 61 440706710044 140 440706710052 125 440706710054 177 440706710066 167 440706710084 126 440706711011 75 440706714073 83 440706719052 86 440706801011 78 440706802055 86 440706807014 72 440706807041 72 440706917012 55 550107306031 73 550107308022 98 550107308064 86 550107309013 76 550107309033 108 550107309062 86 550107310051 107 550107311012 71 550107311041 72 550107312024 95 550107313021 81 550107402031 77 550107403053 70 550107415032 83 550207003064 75 550207005011 107 550207006012 154 550207007012 148 550207007042 147 550207007063 186 550207007073 143 550207007102 147 550207007123 129 550207008023 75 550207210052 79 550207211064 58 550207212013 83 550207213011 83 550207214021 78 550207215022 88 550307101023 121 550307101032 148 550307103012 78 550307105012 80 550307107011 64 550307110011 88 550307111012 74 550307112012 70 550307113012 85 550307115012 91 550407521012 130 550407521032 138 550407521094 146 550407522052 121 550407522111 99 550407522173 132 550407523053 115 550407624031 130 550407624051 126 550407626041 126 550407627011 154 550407628011 139 550407628042 136 550407628053 181 550407628094 147 550407718013 89 550407718081 123 550407718191 108 550407718281 101 550407719012 114 550407719092 133 550407719201 97 550407719282 109 550407720031 143 550407720063 109 550407803023 112 550407803141 109 550407803172 110 550407825021 131 550407825073 145 550407829053 96 550407829102 139 550407829111 144 550407908052 136 550407909024 107 550407909074 114 550407909161 105 550407911063 125 550407911133 147 550407911261 128 550407912013 114 550407912071 124 550407913042 101 550407914042 144 550407915083 106 550407916091 110 550407917021 134 550407917083 126 550407917162 108 550408014103 149 550408016013 146 550408016142 113 550408030043 150 550408101033 80 550408101081 85 550408102052 122 550408102102 101 550408102113 126 550408102173 104 550408102184 90 550408104051 157 550408105023 124 550408105052 111 550408105054 95 550408105063 108 550408107051 134 660108201022 141 660108201032 149 660108202011 68 660108203021 77 660108206012 63 660108212022 85 660108213013 68 660108215013 76 660108217043 75 660108219022 74 660208302011 72 660208304022 62 660208305033 57 660208306064 123 660208307011 76 660208309021 67 660208309043 142 660208309072 142 660208310024 73 660208320022 67 660208412051 59 660208415012 78 660208415062 74 660208418023 77 660308510012 80 660308511033 105 660308512041 90 660308514041 80 660308601024 108 660308601044 142 660308601052 122 660308603031 61 660308604031 69 660308605022 77 660308606022 84 660308609013 100 660408801063 72 660408804022 72 660408815013 66 660408816013 76 660408902041 74 660408906012 70 660408908011 138 660408908013 108 660408909013 81 660408912011 86 660509002043 73 660509003031 78 660509005013 66 660509006032 144 660509006033 155 660509006093 141 660509006112 135 660509108012 145 660509109013 79 660509109054 149 660509110014 75 660509110044 84 660509110142 154 660509111032 78 660509112043 69 660509114013 85 660609312023 72 660609315032 61 660609316022 63 660609318011 190 660609318013 157 660609318053 83 660609403014 85 660609406041 103 660609408012 75 660609410032 47 660709505012 98 660709505025 142 660709505044 136 660709505072 117 660709505073 144 660709506062 86 660709507043 78 660709508052 64 660709604013 82 660709701043 94 660709709012 82 660709711022 76 660709713054 70 660709715024 81 660809801041 53 660809802031 58 660809803063 68 660809807012 70 660809808014 71 660809909021 70 660809916031 65 660809918043 76 660810012033 78 660810013032 144 660810013043 136 660810014024 141 660810014032 167 660810015043 68 660910110043 80 660910113023 55 660910115012 92 660910117041 79 660910120021 79 660910203012 81 660910205011 115 660910205013 131 660910206012 68 660910208033 84 661009602022 77 661009607032 60 661009607054 69 661009607071 112 661009607072 169 661009607082 123 661009609041 61 661009610063 92 661009611053 74 661009611086 55 661109202013 64 661109203032 62 661109204031 72 661109204104 76 661109206011 62 661109207072 77 661109208052 133 661109208053 153 661109208061 71 661109210064 91 661109211052 82 661109212023 78 661208701012 99 661208702014 59 661208703032 64 661208704044 81 661208707021 86 661208707032 63 661208709012 75 661208709051 75 661208709072 121 661208709083 123 661208709092 130 661208711032 79 770110301023 65 770110301033 75 770110302012 67 770110302022 74 770110303013 87 770110304013 75 770110306012 76 770110307013 76 770110312012 78 770210404011 82 770210414032 62 770210415012 87 770210416032 67 770210501022 49 770210512021 77 770210518061 140 770210518072 146 770210518081 118 770310313033 66 770310603011 63 770310607012 68 770310609011 154 770310609012 165 770310609013 123 770310612011 75 770310614012 79 770310617011 72 770310619012 70 770410701022 93 770410703012 89 770410704011 88 770410705032 194 770410706011 85 770410707022 84 770410710012 66 770410712023 89 770410715011 66 770510804013 84 770510814022 101 770510818032 101 770510901023 67 770510905062 155 770510906012 99 770510907023 89 770510908024 83 770510908033 111 770510908072 216 770611008012 91 770611008083 71 770611010061 82 770611010072 117 770611010081 74 770611011022 114 770611011052 127 770611011102 136 770611012041 124 770611012072 148 770611012081 169 770611012091 117 770611104022 74 770611109061 107 770611213021 79 770611213091 71 770611216023 65 770611218051 81 770611219052 91 770711303041 59 770711304022 78 770711305011 153 770711305013 144 770711305043 74 770711308021 79 770711309012 83 770711310032 90 770711412041 104 880111510013 86 880111511023 74 880111519011 71 880111520051 90 880111522012 85 880111522041 133 880111523013 115 880111523022 101 880111524032 105 880111525034 113 880111602021 90 880111602051 79 880111607061 118 880111709101 107 880111712022 80 880111713011 99 880211802012 71 880211802013 87 880211803042 70 880211805013 79 880211807014 75 880211809012 90 880211811011 74 880211812011 98 880211812013 123 880211812031 75 880313001011 83 880313001021 155 880313001031 84 880313002022 107 880313003023 68 880313005014 107 880313007022 74 880313008023 71 880313008032 133 880313010012 83 880411902015 50 880411903023 124 880411905022 97 880412006014 103 880412006051 90 880412007034 112 880412008061 139 880412008071 118 880412008083 107 880412009012 79 880412009111 72 880412011031 134 880412012021 129 880412217023 84 880412219012 74 880412220032 66 880512101012 67 880512103031 81 880512105011 61 880512106012 65 880512107032 88 880512107052 89 880512109022 82 880512110033 121 880512110074 92 880512112012 54 880612301021 109 880612302032 130 880612303013 146 880612305034 156 880612305041 105 880612305052 134 880612306034 72 880612307041 161 880612308012 98 880612309012 143 880612311013 133 880612313011 126 880612315012 130 880612315021 71 880712409021 67 880712410021 93 880712411111 86 880712418012 82 880712501023 62 880712504012 77 880712505061 83 880712507012 60 880712507054 84 880712612012 131 880712612043 99 880712612054 123 880712612074 123 880712614031 240 880712614032 99 880712617013 49 880812702012 148 880812703061 87 880812705021 120 880812706022 81 880812811011 98 880812811051 51 880812812032 88 880812813031 128 880812813043 109 880812814041 90 880812817022 119 880812818072 93 880812820032 105 880812820033 106 880812820053 125 880812907052 106 880913101031 153 880913102011 91 880913104011 89 880913105022 93 880913107012 83 880913108021 89 880913108032 79 880913109013 108 880913111011 122 880913111021 158 880913111032 84 880913112023 81 881013201021 54 881013202023 78 881013203023 67 881013205031 92 881013205032 82 881013205044 118 881013206013 74 881013209011 59 881013210011 81 881013212011 64 881113303021 79 881113305012 100 881113306011 79 881113306051 68 881113307011 148 881113307014 171 881113307024 155 881113307032 150 881113309015 69 881113311034 63 881113311064 72 881113312011 75 990113404024 88 990113405043 67 990113409011 75 990113410011 140 990113410024 131 990113412022 68 990113519021 76 990113520051 76 990113525012 61 990113607031 79 990113615033 83 990113622012 67 990213704021 92 990213705013 88 990213705042 73 990213706033 154 990213706051 124 990213706054 156 990213706061 68 990213801012 69 990213807043 81 990213814011 65 990213818052 71 990213906021 86 990213908021 75 990213916014 78 990314001011 77 990314005011 53 990314006021 56 990314007021 89 990314007022 111 990314012021 161 990314012031 79 990314013012 56 990314114022 83 990314117012 63 990414208062 156 990414209011 78 990414219063 74 990414220043 64 990414301013 154 990414301032 147 990414303022 89 990414304011 211 990414304021 189 990414305023 128 990414305025 158 990414312043 87 990414315021 75 990414317022 81 990414422023 77 990414424034 66 990514501052 67 990514502051 66 990514503042 75 990514504033 101 990514605053 65 990514608031 64 990514611013 105 990514612021 131 990514612022 157 990514613023 88 990514614032 76 990514615033 47 990614813012 70 990614814023 90 990614906012 63 990614910014 62 990615002011 78 990615004014 59 990615004051 163 990615004052 111 990615005023 47 990615017012 69 990714701011 81 990714702034 114 990714705013 61 990714706042 58 990714708041 92 990714709052 68 990714710044 82 990714710051 131 990714710052 114 990714712033 70 weight from roster, corrected 97681 69 2.168 1138.703 119.92 106.896 population inflation factor, weight_roster x hhsize) 97681 69 2.168 8748.858 770.876 805.83 indicator variable for hhs used for poverty analysis (1 = yes) 97681 69 0 80 1 97601 Sysmiss 69 household is extremely poor 97681 69 0 69220 1 28461 Sysmiss 69 household is moderately poor 97681 69 0 1 0.208 0.406 0 77333 1 20348 Sysmiss 69 household is poor 97681 69 0 48872 1 48809 Sysmiss 69 household above poverty line 97681 69 0 1 0.5 0.5 0 48809 1 48872 Sysmiss 69 97601 149 1 3 1 Extremely Poor 28418 2 Moderately Poor 20323 3 Non-Poor 48860 Sysmiss 149 Province 97738 0 1 Central 8670 2 Copperbelt 16633 3 Eastern 10586 4 Luapula 8022 5 Lusaka 11945 6 Northern 13107 7 NorthWestern 7192 8 Sothern 13898 9 Western 7685 District 97738 0 101 907 490.689 253.445 Constituency 97738 0 1 150 73.456 42.254 Ward 97738 0 1 30 10.208 6.346 CSA 97738 0 1 26750 2 18830 3 14775 4 10675 5 9157 6 4664 7 3841 8 2590 9 1540 10 1255 11 1097 12 310 13 258 14 589 15 94 16 326 17 346 18 90 19 108 20 97 26 128 28 218 SEA 97738 0 1 29921 2 31696 3 24037 4 10002 5 1380 6 477 7 110 8 115 Rural/urban 97738 0 1 Rural 47267 2 Urban 50471 Stratum 97738 0 1 Small Scale 35303 2 Medium scale 7081 3 Large Scale 325 4 Non agric 4558 5 Low cost 33210 6 Medium Coct 10101 7 High Cost 7160 Household number 97738 0 1 8881 72.623 121.178 Sec2 PID 97738 0 1 32 3.84 2.596 Marital Status 65341 32397 1 Never married 31697 2 Married 27531 3 Separated 939 4 Divorced 1816 5 Widowed 3294 6 Co-habiting 63 9 1 Sysmiss 32397 Biological mother alive 56358 41380 1 Yes 52120 2 No 4213 3 Don't know 25 Sysmiss 41380 Biological father alive 56327 41411 1 Yes 47682 2 No 8467 3 Don't know 178 Sysmiss 41411 97738 0 2.168 1138.703 119.946 106.883 97738 0 9229 0 1 808 2 1232 3 1165 4 1027 5 842 6 1323 7 737 8 1367 9 728 9229 0 101 907 499.738 250.745 9229 0 1 150 75.239 41.593 9229 0 1 30 9.786 5.996 9229 0 1 28 3.551 3.238 9229 0 1 2813 2 2943 3 2250 4 986 5 167 6 47 7 12 8 11 9229 0 1 5174 2 4055 9229 0 1 3969 2 637 3 40 4 528 5 2932 6 675 7 448 9217 12 2.168 870.917 128.466 111.135 9229 0 1.101e+17 9.90715e+17 5.44835e+17 2.75566e+17 9229 0 2 26 5.824 2.571 9229 0 1 4581 2 4648 9229 0 3 59 28.505 15.376 9229 0 30.5 993 79.942 22.596 9229 0 2.1 99.5 11.954 4.9 9229 0 -9.98 9.98 -2.284 3.114 9229 0 -8.14 9.98 -0.618 1.886 9229 0 -9.98 9.99 1.275 3.079 Household ID (unique) 18662 0 Province 18662 0 1 Central 1602 2 Copperbelt 3158 3 Eastern 2062 4 Luapula 1511 5 Lusaka 2362 6 Northern 2548 7 NorthWestern 1342 8 Sothern 2617 9 Western 1460 District 18662 0 101 907 490.973 251.968 Constituency 18662 0 1 150 73.56 41.977 Ward 18662 0 1 30 10.233 6.393 CSA 18662 0 1 28 3.667 3.367 SEA 18662 0 1 5665 2 6045 3 4638 4 1904 5 265 6 95 7 25 8 25 Rural/urban 18662 0 1 Rural 9132 2 Urban 9530 Stratum 18662 0 1 Small Scale 6836 2 Medium scale 960 3 Large Scale 38 4 Non-Agric 1298 5 Low Cost 6384 6 Medium Cost 1796 7 High Cost 1350 Household number 18662 0 1 8881 73.276 124.032 household size 18650 12 1 32 5.237 2.75 primary sampling unit ID 18650 0 110100101022 15 110100101132 15 110100102043 15 110100103062 15 110100104063 25 110100104074 25 110100112011 15 110100119044 15 110100213012 15 110100214062 15 110100215022 15 110100216053 15 110100304041 16 110100306013 15 110100309072 15 110100310082 15 110100311032 18 110100318043 17 110200414014 25 110200417021 25 110200418013 17 110200422012 25 110200424033 25 110200425023 15 110200501041 25 110200503021 25 110200503043 25 110200504032 25 110200507013 25 110200507021 25 110200508053 25 110200511042 25 110300603051 15 110300603061 15 110300604083 15 110300605064 25 110300605081 15 110300607014 15 110300607101 25 110300607123 25 110300607142 25 110300607163 25 110300608053 15 110300609012 15 110300609093 15 110300610041 15 110300611031 15 110300611074 15 110400701043 15 110400703013 25 110400703014 25 110400703021 25 110400703032 23 110400705033 15 110400705041 15 110400707021 16 110400708053 15 110400710013 15 110400811032 15 110400812052 15 110500901041 25 110500902022 15 110500904031 15 110501013031 15 110501016024 15 110501017021 25 110501017041 25 110501017053 25 110501019011 15 110501020041 17 110501107054 15 110501109063 15 110501114042 15 110501115023 15 110601201031 15 110601204032 15 110601209031 15 110601310042 15 110601314043 15 110601315031 15 110601406033 15 110601407023 15 110601412032 15 110601413041 25 110601413043 25 110601413052 25 220101501021 25 220101505012 25 220101506011 25 220101508014 25 220101511023 25 220101512012 25 220101517021 14 220101518041 15 220101519013 25 220101520024 15 220201601052 25 220201613012 25 220201617012 25 220201618033 25 220201620022 25 220201621024 15 220201623011 15 220201625014 15 220201702032 25 220201704022 25 220201707033 25 220201708013 25 220301801012 25 220301804012 25 220301807011 25 220301809012 25 220301812022 25 220301812026 25 220301812033 25 220301813011 15 220301814011 15 220301818013 25 220301818023 25 220301819041 25 220401901012 25 220401902081 25 220401903072 25 220401905011 25 220401906023 25 220402012051 25 220402013062 25 220402014012 15 220402015012 15 220402107033 25 220402108023 25 220402109052 25 220402110012 25 220402110042 25 220402110071 25 220402111012 25 220402216062 25 220402217032 25 220402220021 25 220402220032 25 220402221012 25 220402221013 25 220402322032 25 220402324031 25 220402325052 25 220502403022 25 220502404021 17 220502405052 15 220502406043 25 220502409012 25 220502410024 25 220502412023 25 220502413023 25 220502416011 25 220502502021 15 220502514014 25 220502519011 25 220502521024 25 220502524023 25 220603001031 15 220603002031 15 220603003041 15 220603004033 15 220603006013 15 220603008012 15 220603008034 15 220603009023 15 220603012013 15 220603012062 15 220702902043 15 220702904041 15 220703107021 15 220703108012 15 220703109012 15 220703110014 16 220703111021 15 220703112031 25 220703112032 25 220703114013 15 220803202033 15 220803202064 15 220803204011 15 220803206021 15 220803206041 25 220803206043 25 220803206051 25 220803207021 15 220803208041 15 220803211013 15 220902620013 25 220902621013 25 220902622052 25 220902624032 15 220902712014 25 220902717011 25 220902717032 25 220902725042 25 220902802023 15 220902805023 25 220902807032 25 220902813011 25 220902814012 25 220902815023 25 221003314022 25 221003316021 25 221003317014 25 221003318014 15 221003319021 25 221003319052 25 221003319081 15 221003319112 25 221003422013 25 221003423022 25 221003424033 25 221003425071 25 221003508014 25 221003510031 25 221003512033 25 221003513073 25 221003601031 25 221003602013 25 221003603011 25 221003603043 25 221003604032 25 221003604092 25 221003605034 25 221003605042 25 221003620042 25 221003626022 25 330103702021 15 330103704032 15 330103709023 15 330103710042 25 330103710043 25 330103712016 15 330103808015 15 330103815013 15 330103817015 15 330103820022 15 330203910032 25 330203910034 25 330203911011 15 330203917011 15 330203919013 15 330204002024 15 330204003023 15 330204006013 15 330204007013 15 330204009015 15 330304112022 15 330304114022 15 330304115031 15 330304115123 15 330304116041 15 330304117033 15 330304218071 15 330304218114 25 330304218115 25 330304218152 25 330304219014 18 330304219087 25 330304220061 15 330304220081 25 330304220102 25 330304220141 25 330304306052 15 330304307054 15 330304309014 15 330304309112 15 330304310081 15 330304401052 15 330304402051 15 330304403082 15 330304404071 15 330404502021 15 330404506041 15 330404507012 15 330404508021 15 330404525015 15 330404612031 25 330404612042 25 330404613011 15 330404613064 15 330404621033 15 330404622052 15 330404623052 15 330404709031 15 330404716022 15 330404718013 15 330404719031 15 330504819034 15 330504819061 25 330504820041 15 330504822031 15 330504825032 15 330504828053 15 330504901032 15 330504902034 15 330504903061 15 330504906041 15 330505009021 17 330505010052 15 330505012012 15 330505013051 15 330505014015 25 330505014018 25 330505014022 25 330505014052 15 330505015033 15 330505016071 15 330505017082 15 330605101012 15 330605102026 15 330605103011 25 330605103013 25 330605106022 15 330605106055 15 330605107013 15 330605108012 15 330605110013 15 330605111011 15 330705203041 15 330705204014 15 330705204073 15 330705205051 15 330705206031 25 330705206032 25 330705207023 15 330705208043 15 330705210031 15 330705211023 15 330805301015 15 330805302042 15 330805303041 16 330805304033 15 330805305031 15 330805306012 15 330805306082 15 330805307071 15 330805408015 15 330805409013 15 330805410013 15 330805411051 15 330805412042 15 330805413023 16 330805413081 25 330805413091 25 330805413104 25 330805516042 15 330805520013 15 440106501052 15 440106503031 15 440106503073 15 440106505011 15 440106506014 15 440106507022 15 440106508042 15 440106510022 15 440106511064 15 440106512061 15 440205607022 15 440205610041 25 440205610042 25 440205610053 25 440205712011 15 440205714023 15 440205717053 25 440205720011 15 440205803013 15 440205805021 15 440205806023 15 440205810012 15 440305901041 15 440305902021 15 440305903043 15 440305903092 25 440306005021 15 440306006011 15 440306008011 25 440306008023 25 440306008031 25 440306008062 15 440306009013 25 440306009041 25 440306011043 15 440306012031 15 440306014043 15 440306015071 15 440406101012 16 440406103011 15 440406103041 15 440406105012 15 440406106024 15 440406109015 15 440406111022 25 440406111023 25 440406111031 15 440406111044 15 440506202021 15 440506211011 15 440506213012 15 440506315033 15 440506318023 15 440506401023 15 440506403011 15 440506404021 15 440506406022 15 440506407023 15 440506408013 25 440506408023 25 440606601034 15 440606603021 15 440606604012 15 440606604043 25 440606606021 25 440606606022 25 440606607013 15 440606608011 15 440606609031 15 440606610044 15 440606611021 15 440606612044 15 440706710022 15 440706710044 25 440706710052 25 440706710054 25 440706710066 25 440706710084 25 440706711011 15 440706714073 15 440706719052 15 440706801011 15 440706802055 15 440706807014 15 440706807041 15 440706917012 15 550107306031 15 550107308022 15 550107308064 15 550107309013 15 550107309033 25 550107309062 15 550107310051 16 550107311012 16 550107311041 16 550107312024 15 550107313021 15 550107402031 15 550107403053 15 550107415032 15 550207003064 15 550207005011 25 550207006012 25 550207007012 25 550207007042 25 550207007063 25 550207007073 25 550207007102 25 550207007123 25 550207008023 15 550207210052 15 550207211064 15 550207212013 15 550207213011 15 550207214021 15 550207215022 15 550307101023 25 550307101032 25 550307103012 15 550307105012 15 550307107011 15 550307110011 15 550307111012 15 550307112012 15 550307113012 15 550307115012 15 550407521012 25 550407521032 25 550407521094 25 550407522052 25 550407522111 25 550407522173 25 550407523053 25 550407624031 25 550407624051 25 550407626041 25 550407627011 25 550407628011 25 550407628042 24 550407628053 25 550407628094 25 550407718013 25 550407718081 25 550407718191 25 550407718281 25 550407719012 25 550407719092 25 550407719201 25 550407719282 24 550407720031 25 550407720063 25 550407803023 25 550407803141 25 550407803172 25 550407825021 25 550407825073 25 550407829053 25 550407829102 25 550407829111 25 550407908052 25 550407909024 24 550407909074 25 550407909161 25 550407911063 25 550407911133 25 550407911261 25 550407912013 24 550407912071 25 550407913042 25 550407914042 25 550407915083 25 550407916091 25 550407917021 25 550407917083 25 550407917162 25 550408014103 25 550408016013 25 550408016142 25 550408030043 24 550408101033 25 550408101081 25 550408102052 25 550408102102 25 550408102113 25 550408102173 25 550408102184 25 550408104051 25 550408105023 25 550408105052 25 550408105054 25 550408105063 25 550408107051 25 660108201022 25 660108201032 25 660108202011 15 660108203021 15 660108206012 15 660108212022 15 660108213013 15 660108215013 15 660108217043 15 660108219022 15 660208302011 15 660208304022 15 660208305033 15 660208306064 25 660208307011 15 660208309021 15 660208309043 25 660208309072 25 660208310024 15 660208320022 15 660208412051 15 660208415012 15 660208415062 15 660208418023 15 660308510012 15 660308511033 15 660308512041 15 660308514041 15 660308601024 25 660308601044 25 660308601052 25 660308603031 15 660308604031 15 660308605022 15 660308606022 15 660308609013 15 660408801063 15 660408804022 15 660408815013 15 660408816013 15 660408902041 15 660408906012 15 660408908011 25 660408908013 25 660408909013 15 660408912011 15 660509002043 16 660509003031 15 660509005013 15 660509006032 25 660509006033 25 660509006093 25 660509006112 25 660509108012 25 660509109013 15 660509109054 25 660509110014 15 660509110044 15 660509110142 25 660509111032 15 660509112043 15 660509114013 15 660609312023 15 660609315032 15 660609316022 15 660609318011 25 660609318013 25 660609318053 15 660609403014 15 660609406041 20 660609408012 15 660609410032 15 660709505012 25 660709505025 25 660709505044 25 660709505072 25 660709505073 25 660709506062 15 660709507043 15 660709508052 15 660709604013 15 660709701043 15 660709709012 16 660709711022 15 660709713054 15 660709715024 15 660809801041 15 660809802031 15 660809803063 15 660809807012 15 660809808014 15 660809909021 15 660809916031 15 660809918043 15 660810012033 15 660810013032 25 660810013043 25 660810014024 25 660810014032 25 660810015043 15 660910110043 15 660910113023 15 660910115012 14 660910117041 15 660910120021 15 660910203012 15 660910205011 25 660910205013 25 660910206012 15 660910208033 15 661009602022 15 661009607032 15 661009607054 15 661009607071 25 661009607072 25 661009607082 25 661009609041 15 661009610063 15 661009611053 15 661009611086 15 661109202013 15 661109203032 15 661109204031 15 661109204104 15 661109206011 15 661109207072 16 661109208052 25 661109208053 25 661109208061 15 661109210064 15 661109211052 15 661109212023 15 661208701012 15 661208702014 15 661208703032 15 661208704044 15 661208707021 15 661208707032 15 661208709012 15 661208709051 15 661208709072 25 661208709083 25 661208709092 25 661208711032 15 770110301023 15 770110301033 15 770110302012 15 770110302022 15 770110303013 15 770110304013 15 770110306012 15 770110307013 15 770110312012 15 770210404011 15 770210414032 15 770210415012 15 770210416032 15 770210501022 15 770210512021 15 770210518061 25 770210518072 25 770210518081 25 770310313033 15 770310603011 15 770310607012 15 770310609011 25 770310609012 25 770310609013 25 770310612011 15 770310614012 15 770310617011 15 770310619012 15 770410701022 15 770410703012 15 770410704011 15 770410705032 25 770410706011 15 770410707022 15 770410710012 15 770410712023 15 770410715011 15 770510804013 15 770510814022 15 770510818032 15 770510901023 15 770510905062 25 770510906012 15 770510907023 15 770510908024 15 770510908033 25 770510908072 25 770611008012 15 770611008083 15 770611010061 15 770611010072 25 770611010081 25 770611011022 24 770611011052 25 770611011102 25 770611012041 25 770611012072 25 770611012081 25 770611012091 25 770611104022 15 770611109061 16 770611213021 15 770611213091 15 770611216023 15 770611218051 15 770611219052 15 770711303041 15 770711304022 15 770711305011 25 770711305013 21 770711305043 25 770711308021 15 770711309012 15 770711310032 15 770711412041 15 880111510013 15 880111511023 15 880111519011 15 880111520051 15 880111522012 25 880111522041 25 880111523013 25 880111523022 25 880111524032 25 880111525034 23 880111602021 15 880111602051 15 880111607061 15 880111709101 15 880111712022 15 880111713011 15 880211802012 15 880211802013 15 880211803042 15 880211805013 15 880211807014 15 880211809012 15 880211811011 15 880211812011 25 880211812013 25 880211812031 15 880313001011 15 880313001021 25 880313001031 15 880313002022 15 880313003023 15 880313005014 15 880313007022 15 880313008023 15 880313008032 25 880313010012 15 880411902015 15 880411903023 15 880411905022 15 880412006014 15 880412006051 15 880412007034 15 880412008061 25 880412008071 25 880412008083 25 880412009012 16 880412009111 15 880412011031 15 880412012021 17 880412217023 15 880412219012 15 880412220032 15 880512101012 15 880512103031 15 880512105011 15 880512106012 15 880512107032 15 880512107052 15 880512109022 15 880512110033 16 880512110074 15 880512112012 15 880612301021 25 880612302032 25 880612303013 25 880612305034 25 880612305041 25 880612305052 25 880612306034 25 880612307041 25 880612308012 25 880612309012 25 880612311013 25 880612313011 25 880612315012 25 880612315021 15 880712409021 15 880712410021 15 880712411111 15 880712418012 15 880712501023 15 880712504012 15 880712505061 15 880712507012 15 880712507054 15 880712612012 32 880712612043 25 880712612054 25 880712612074 25 880712614031 40 880712614032 25 880712617013 15 880812702012 15 880812703061 15 880812705021 15 880812706022 15 880812811011 15 880812811051 15 880812812032 15 880812813031 25 880812813043 25 880812814041 15 880812817022 15 880812818072 15 880812820032 25 880812820033 25 880812820053 25 880812907052 15 880913101031 25 880913102011 15 880913104011 16 880913105022 15 880913107012 15 880913108021 15 880913108032 15 880913109013 15 880913111011 15 880913111021 25 880913111032 15 880913112023 15 881013201021 15 881013202023 15 881013203023 15 881013205031 25 881013205032 25 881013205044 25 881013206013 15 881013209011 15 881013210011 15 881013212011 15 881113303021 15 881113305012 15 881113306011 15 881113306051 15 881113307011 25 881113307014 25 881113307024 25 881113307032 25 881113309015 15 881113311034 15 881113311064 15 881113312011 15 990113404024 15 990113405043 15 990113409011 15 990113410011 25 990113410024 25 990113412022 15 990113519021 15 990113520051 15 990113525012 15 990113607031 15 990113615033 15 990113622012 15 990213704021 15 990213705013 15 990213705042 15 990213706033 25 990213706051 25 990213706054 25 990213706061 15 990213801012 15 990213807043 15 990213814011 15 990213818052 15 990213906021 15 990213908021 15 990213916014 15 990314001011 15 990314005011 15 990314006021 15 990314007021 15 990314007022 15 990314012021 25 990314012031 15 990314013012 15 990314114022 15 990314117012 15 990414208062 25 990414209011 15 990414219063 15 990414220043 15 990414301013 25 990414301032 25 990414303022 25 990414304011 25 990414304021 25 990414305023 25 990414305025 25 990414312043 15 990414315021 15 990414317022 15 990414422023 15 990414424034 15 990514501052 15 990514502051 15 990514503042 15 990514504033 15 990514605053 15 990514608031 15 990514611013 15 990514612021 25 990514612022 25 990514613023 15 990514614032 15 990514615033 15 990614813012 15 990614814023 15 990614906012 15 990614910014 15 990615002011 15 990615004014 15 990615004051 25 990615004052 25 990615005023 15 990615017012 15 990714701011 15 990714702034 15 990714705013 15 990714706042 15 990714708041 15 990714709052 15 990714710044 15 990714710051 25 990714710052 25 990714712033 15 weight from roster, corrected 18650 12 2.168 1138.703 122.423 106.873 population inflation factor, weight_roster x hhsize) 18650 12 2.168 8748.858 628.074 683.08 indicator variable for hhs used for poverty analysis (1 = yes) 18650 12 0 24 1 18626 Sysmiss 12 household is extremely poor 18650 12 0 13774 1 4876 Sysmiss 12 household is moderately poor 18650 12 0 1 0.201 0.401 0 14904 1 3746 Sysmiss 12 household is poor 18650 12 0 10028 1 8622 Sysmiss 12 household above poverty line 18650 12 0 1 0.538 0.499 0 8622 1 10028 Sysmiss 12 18626 36 1 3 1 Extremely Poor 4868 2 Moderately Poor 3736 3 Non-Poor 10022 Sysmiss 36 Province 18662 0 1 Central 1602 2 Copperbelt 3158 3 Eastern 2062 4 Luapula 1511 5 Lusaka 2362 6 Northern 2548 7 NorthWestern 1342 8 Sothern 2617 9 Western 1460 District 18662 0 101 907 490.973 251.968 Constituency 18662 0 1 150 73.56 41.977 Ward 18662 0 1 30 10.233 6.393 CSA 18662 0 1 28 3.667 3.367 SEA 18662 0 1 5665 2 6045 3 4638 4 1904 5 265 6 95 7 25 8 25 Rural/urban 18662 0 1 Rural 9132 2 Urban 9530 Stratum 18662 0 1 Small Scale 6836 2 Medium scale 960 3 Large Scale 38 4 Non agric 1298 5 Low cost 6384 6 Medium Coct 1796 7 High Cost 1350 Household number 18662 0 1 8881 73.276 124.032 1. Do you consider your household to be not poor, moderately 18662 0 1 Not poor 2320 2 Moderately poor 9727 3 Very Poor 6615 2a. What do you think has led your household to be in povert 16333 2329 1 88 1 Cannot afford/lack of agricultural inputs 2827 2 Agricultural inputs are not available 548 3 Lack of agricultural inputs due to other reasons 695 4 Low agricultural production 523 5 Because of the drought 190 6 Because of floods 152 7 Lack of adequate land 674 8 Low prices for the produce 256 9 Lack of market 191 10 Lack of cattle/oxen 706 11 Death cattle due to diseases 126 12 Lack of capital to start 764 13 Lack of capital to diversify 161 14 Lack of credit facilities 198 15 Lack of capital to start own business 1234 16 Lack of credit facilities to start business 239 17 Lack of employment opportunities 1332 18 Salary/wage too little 2323 19 Pension payment too little 100 20 Retrechment/redundancy 55 21 Prices of commodities too high 496 22 Hard economic times 926 23 Business not doing well 368 24 Too much competition 112 25 Due to disability 72 26 Death of bread winner 715 27 Debts 16 28 Other 321 88 NA 13 Sysmiss 2329 2b. What do you think has led your household to be in povert 16328 2334 1 88 1 Cannot afford/lack of agricultural inputs 726 2 Agricultural inputs are not available 263 3 Lack of agricultural inputs due to other reasons 431 4 Low agricultural production 555 5 Because of the drought 181 6 Because of floods 145 7 Lack of adequate land 531 8 Low prices for the produce 575 9 Lack of market 457 10 Lack of cattle/oxen 809 11 Death cattle due to diseases 202 12 Lack of capital to start 1269 13 Lack of capital to diversify 365 14 Lack of credit facilities 544 15 Lack of capital to start own business 1405 16 Lack of credit facilities to start business 528 17 Lack of employment opportunities 1233 18 Salary/wage too little 835 19 Pension payment too little 67 20 Retrechment/redundancy 63 21 Prices of commodities too high 1755 22 Hard economic times 1526 23 Business not doing well 477 24 Too much competition 201 25 Due to disability 33 26 Death of bread winner 212 27 Debts 46 28 Other 276 88 NA 618 Sysmiss 2334 2c. What do you think has led your household to be in povert 16281 2381 0 88 0 1 1 Cannot afford/lack of agricultural inputs 349 2 Agricultural inputs are not available 124 3 Lack of agricultural inputs due to other reasons 180 4 Low agricultural production 259 5 Because of the drought 91 6 Because of floods 75 7 Lack of adequate land 265 8 Low prices for the produce 269 9 Lack of market 183 10 Lack of cattle/oxen 322 11 Death cattle due to diseases 145 12 Lack of capital to start 609 13 Lack of capital to diversify 205 14 Lack of credit facilities 536 15 Lack of capital to start own business 879 16 Lack of credit facilities to start business 545 17 Lack of employment opportunities 959 18 Salary/wage too little 506 19 Pension payment too little 78 20 Retrechment/redundancy 69 21 Prices of commodities too high 1679 22 Hard economic times 2181 23 Business not doing well 513 24 Too much competition 303 25 Due to disability 58 26 Death of bread winner 329 27 Debts 86 28 Other 351 32 1 88 NA 4131 Sysmiss 2381 3. Compared to last year, do you consider your household...? 18660 2 1 Better off 4669 2 The same 11059 3 Worse off 2932 Sysmiss 2 4a. Why do you think you are the same or worse off? 2931 15731 1 88 1 Cannot afford/lack of agricultural inputs 338 2 Agricultural inputs are not available 49 3 Lack of agricultural inputs due to other reasons 98 4 Low agricultural production 107 5 Because of the drought 59 6 Because of floods 37 7 Lack of adequate land 60 8 Low prices for the produce 45 9 Lack of market 37 10 Lack of cattle/oxen 87 11 Death cattle due to diseases 55 12 Lack of capital to start 121 13 Lack of capital to diversify 43 14 Lack of credit facilities 48 15 Lack of capital to start own business 183 16 Lack of credit facilities to start business 55 17 Lack of employment opportunities 252 18 Salary/wage too little 236 19 Pension payment too little 17 20 Retrechment/redundancy 20 21 Prices of commodities too high 161 22 Hard economic times 215 23 Business not doing well 134 24 Too much competition 33 25 Due to disability 29 26 Death of bread winner 242 27 Debts 25 28 Other 140 88 NA 5 Sysmiss 15731 4b. Why do you think you are the same or worse off? 2926 15736 1 88 1 Cannot afford/lack of agricultural inputs 140 2 Agricultural inputs are not available 42 3 Lack of agricultural inputs due to other reasons 76 4 Low agricultural production 107 5 Because of the drought 32 6 Because of floods 24 7 Lack of adequate land 92 8 Low prices for the produce 66 9 Lack of market 48 10 Lack of cattle/oxen 106 11 Death cattle due to diseases 39 12 Lack of capital to start 183 13 Lack of capital to diversify 61 14 Lack of credit facilities 105 15 Lack of capital to start own business 266 16 Lack of credit facilities to start business 102 17 Lack of employment opportunities 210 18 Salary/wage too little 115 19 Pension payment too little 18 20 Retrechment/redundancy 21 21 Prices of commodities too high 296 22 Hard economic times 284 23 Business not doing well 103 24 Too much competition 45 25 Due to disability 13 26 Death of bread winner 46 27 Debts 26 28 Other 72 88 NA 188 Sysmiss 15736 4c. Why do you think you are the same or worse off? 2905 15757 1 88 1 Cannot afford/lack of agricultural inputs 92 2 Agricultural inputs are not available 33 3 Lack of agricultural inputs due to other reasons 60 4 Low agricultural production 54 5 Because of the drought 21 6 Because of floods 14 7 Lack of adequate land 57 8 Low prices for the produce 40 9 Lack of market 30 10 Lack of cattle/oxen 69 11 Death cattle due to diseases 23 12 Lack of capital to start 98 13 Lack of capital to diversify 42 14 Lack of credit facilities 88 15 Lack of capital to start own business 176 16 Lack of credit facilities to start business 94 17 Lack of employment opportunities 160 18 Salary/wage too little 71 19 Pension payment too little 12 20 Retrechment/redundancy 13 21 Prices of commodities too high 241 22 Hard economic times 325 23 Business not doing well 71 24 Too much competition 49 25 Due to disability 12 26 Death of bread winner 72 27 Debts 29 28 Other 92 88 NA 767 Sysmiss 15757 5. How much money do you think in needed in a month....? 18653 9 0 80000000 1336493.465 2822145.906 6. How many meals excluding snacks do you normally have in a 18660 2 1 One 858 2 Two 8520 3 Three 8707 4 Morethan three 575 Sysmiss 2 7. How many times in the past one month did your household e 18661 1 0 2 1 Zero 1765 2 Once 2233 3 Twice 2698 4 Thrice 2156 5 Four times 1904 6 Five times 1308 7 More than five times 6595 Sysmiss 1 8. How many times in the past one week did your household ea 18661 1 1 Zero 357 2 Once 455 3 Twice 735 4 Thrice 796 5 Four times 996 6 Five times 886 7 More than five times 14436 Sysmiss 1 9.1. Piecework on farms belonging to other households 18661 1 1 Yes 5347 2 No 13314 Sysmiss 1 9.2. Other piecework 18661 1 1 Yes 6546 2 No 12115 Sysmiss 1 9.3. Working on food-for-work or 'food-for-assets' program 18661 1 1 Yes 2900 2 No 15761 Sysmiss 1 9.4. Relief food, free food from government and other bodies 18661 1 1 Yes 2187 2 No 16474 Sysmiss 1 9.5. Eating wild food only 18661 1 1 Yes 2420 2 No 16241 Sysmiss 1 9.6. Substituting ordinary meals with mangoes, pumpkin, swee 18661 1 1 Yes 7500 2 No 11161 Sysmiss 1 9.7. Reducing number of meals or food-in-take 18661 1 1 Yes 10305 2 No 8356 Sysmiss 1 9.8. Reducing other household items e.g. soap, tissue, deter 18661 1 1 Yes 10150 2 No 8511 Sysmiss 1 9.9. Informal borrowing (e.g. kaloba, borrowing from friends 18661 1 1 Yes 5380 2 No 13281 Sysmiss 1 18661 1 1 Yes 1808 2 No 16853 Sysmiss 1 9.11. Church charity 18661 1 1 Yes 1312 2 No 17349 Sysmiss 1 9.12. NGO charity e.g. assistance from Care International, W 18661 1 1 Yes 928 2 No 17733 Sysmiss 1 9.13. Pulling children out of school 18661 1 1 Yes 1065 2 No 17596 Sysmiss 1 9.14. Sale of assets, such as cattle, fridge, car, etc 18661 1 1 Yes 2829 2 No 15832 Sysmiss 1 9.15. Petty vending 18661 1 1 Yes 1859 2 No 16802 Sysmiss 1 9.16. Asking from friends, neighbours, relatives 18661 1 1 Yes 11237 2 No 7424 Sysmiss 1 9.17. Begging from the streets 18661 1 1 Yes 281 2 No 18380 Sysmiss 1 9.18. Other (specify) 18661 1 1 Yes 252 2 No 18409 Sysmiss 1 1. Did any member of this household grow any food crops..... 18661 1 1 yes 10561 2 no 8100 Sysmiss 1 Household ID (unique) 18662 0 primary sampling unit ID 18650 0 110100101022 15 110100101132 15 110100102043 15 110100103062 15 110100104063 25 110100104074 25 110100112011 15 110100119044 15 110100213012 15 110100214062 15 110100215022 15 110100216053 15 110100304041 16 110100306013 15 110100309072 15 110100310082 15 110100311032 18 110100318043 17 110200414014 25 110200417021 25 110200418013 17 110200422012 25 110200424033 25 110200425023 15 110200501041 25 110200503021 25 110200503043 25 110200504032 25 110200507013 25 110200507021 25 110200508053 25 110200511042 25 110300603051 15 110300603061 15 110300604083 15 110300605064 25 110300605081 15 110300607014 15 110300607101 25 110300607123 25 110300607142 25 110300607163 25 110300608053 15 110300609012 15 110300609093 15 110300610041 15 110300611031 15 110300611074 15 110400701043 15 110400703013 25 110400703014 25 110400703021 25 110400703032 23 110400705033 15 110400705041 15 110400707021 16 110400708053 15 110400710013 15 110400811032 15 110400812052 15 110500901041 25 110500902022 15 110500904031 15 110501013031 15 110501016024 15 110501017021 25 110501017041 25 110501017053 25 110501019011 15 110501020041 17 110501107054 15 110501109063 15 110501114042 15 110501115023 15 110601201031 15 110601204032 15 110601209031 15 110601310042 15 110601314043 15 110601315031 15 110601406033 15 110601407023 15 110601412032 15 110601413041 25 110601413043 25 110601413052 25 220101501021 25 220101505012 25 220101506011 25 220101508014 25 220101511023 25 220101512012 25 220101517021 14 220101518041 15 220101519013 25 220101520024 15 220201601052 25 220201613012 25 220201617012 25 220201618033 25 220201620022 25 220201621024 15 220201623011 15 220201625014 15 220201702032 25 220201704022 25 220201707033 25 220201708013 25 220301801012 25 220301804012 25 220301807011 25 220301809012 25 220301812022 25 220301812026 25 220301812033 25 220301813011 15 220301814011 15 220301818013 25 220301818023 25 220301819041 25 220401901012 25 220401902081 25 220401903072 25 220401905011 25 220401906023 25 220402012051 25 220402013062 25 220402014012 15 220402015012 15 220402107033 25 220402108023 25 220402109052 25 220402110012 25 220402110042 25 220402110071 25 220402111012 25 220402216062 25 220402217032 25 220402220021 25 220402220032 25 220402221012 25 220402221013 25 220402322032 25 220402324031 25 220402325052 25 220502403022 25 220502404021 17 220502405052 15 220502406043 25 220502409012 25 220502410024 25 220502412023 25 220502413023 25 220502416011 25 220502502021 15 220502514014 25 220502519011 25 220502521024 25 220502524023 25 220603001031 15 220603002031 15 220603003041 15 220603004033 15 220603006013 15 220603008012 15 220603008034 15 220603009023 15 220603012013 15 220603012062 15 220702902043 15 220702904041 15 220703107021 15 220703108012 15 220703109012 15 220703110014 16 220703111021 15 220703112031 25 220703112032 25 220703114013 15 220803202033 15 220803202064 15 220803204011 15 220803206021 15 220803206041 25 220803206043 25 220803206051 25 220803207021 15 220803208041 15 220803211013 15 220902620013 25 220902621013 25 220902622052 25 220902624032 15 220902712014 25 220902717011 25 220902717032 25 220902725042 25 220902802023 15 220902805023 25 220902807032 25 220902813011 25 220902814012 25 220902815023 25 221003314022 25 221003316021 25 221003317014 25 221003318014 15 221003319021 25 221003319052 25 221003319081 15 221003319112 25 221003422013 25 221003423022 25 221003424033 25 221003425071 25 221003508014 25 221003510031 25 221003512033 25 221003513073 25 221003601031 25 221003602013 25 221003603011 25 221003603043 25 221003604032 25 221003604092 25 221003605034 25 221003605042 25 221003620042 25 221003626022 25 330103702021 15 330103704032 15 330103709023 15 330103710042 25 330103710043 25 330103712016 15 330103808015 15 330103815013 15 330103817015 15 330103820022 15 330203910032 25 330203910034 25 330203911011 15 330203917011 15 330203919013 15 330204002024 15 330204003023 15 330204006013 15 330204007013 15 330204009015 15 330304112022 15 330304114022 15 330304115031 15 330304115123 15 330304116041 15 330304117033 15 330304218071 15 330304218114 25 330304218115 25 330304218152 25 330304219014 18 330304219087 25 330304220061 15 330304220081 25 330304220102 25 330304220141 25 330304306052 15 330304307054 15 330304309014 15 330304309112 15 330304310081 15 330304401052 15 330304402051 15 330304403082 15 330304404071 15 330404502021 15 330404506041 15 330404507012 15 330404508021 15 330404525015 15 330404612031 25 330404612042 25 330404613011 15 330404613064 15 330404621033 15 330404622052 15 330404623052 15 330404709031 15 330404716022 15 330404718013 15 330404719031 15 330504819034 15 330504819061 25 330504820041 15 330504822031 15 330504825032 15 330504828053 15 330504901032 15 330504902034 15 330504903061 15 330504906041 15 330505009021 17 330505010052 15 330505012012 15 330505013051 15 330505014015 25 330505014018 25 330505014022 25 330505014052 15 330505015033 15 330505016071 15 330505017082 15 330605101012 15 330605102026 15 330605103011 25 330605103013 25 330605106022 15 330605106055 15 330605107013 15 330605108012 15 330605110013 15 330605111011 15 330705203041 15 330705204014 15 330705204073 15 330705205051 15 330705206031 25 330705206032 25 330705207023 15 330705208043 15 330705210031 15 330705211023 15 330805301015 15 330805302042 15 330805303041 16 330805304033 15 330805305031 15 330805306012 15 330805306082 15 330805307071 15 330805408015 15 330805409013 15 330805410013 15 330805411051 15 330805412042 15 330805413023 16 330805413081 25 330805413091 25 330805413104 25 330805516042 15 330805520013 15 440106501052 15 440106503031 15 440106503073 15 440106505011 15 440106506014 15 440106507022 15 440106508042 15 440106510022 15 440106511064 15 440106512061 15 440205607022 15 440205610041 25 440205610042 25 440205610053 25 440205712011 15 440205714023 15 440205717053 25 440205720011 15 440205803013 15 440205805021 15 440205806023 15 440205810012 15 440305901041 15 440305902021 15 440305903043 15 440305903092 25 440306005021 15 440306006011 15 440306008011 25 440306008023 25 440306008031 25 440306008062 15 440306009013 25 440306009041 25 440306011043 15 440306012031 15 440306014043 15 440306015071 15 440406101012 16 440406103011 15 440406103041 15 440406105012 15 440406106024 15 440406109015 15 440406111022 25 440406111023 25 440406111031 15 440406111044 15 440506202021 15 440506211011 15 440506213012 15 440506315033 15 440506318023 15 440506401023 15 440506403011 15 440506404021 15 440506406022 15 440506407023 15 440506408013 25 440506408023 25 440606601034 15 440606603021 15 440606604012 15 440606604043 25 440606606021 25 440606606022 25 440606607013 15 440606608011 15 440606609031 15 440606610044 15 440606611021 15 440606612044 15 440706710022 15 440706710044 25 440706710052 25 440706710054 25 440706710066 25 440706710084 25 440706711011 15 440706714073 15 440706719052 15 440706801011 15 440706802055 15 440706807014 15 440706807041 15 440706917012 15 550107306031 15 550107308022 15 550107308064 15 550107309013 15 550107309033 25 550107309062 15 550107310051 16 550107311012 16 550107311041 16 550107312024 15 550107313021 15 550107402031 15 550107403053 15 550107415032 15 550207003064 15 550207005011 25 550207006012 25 550207007012 25 550207007042 25 550207007063 25 550207007073 25 550207007102 25 550207007123 25 550207008023 15 550207210052 15 550207211064 15 550207212013 15 550207213011 15 550207214021 15 550207215022 15 550307101023 25 550307101032 25 550307103012 15 550307105012 15 550307107011 15 550307110011 15 550307111012 15 550307112012 15 550307113012 15 550307115012 15 550407521012 25 550407521032 25 550407521094 25 550407522052 25 550407522111 25 550407522173 25 550407523053 25 550407624031 25 550407624051 25 550407626041 25 550407627011 25 550407628011 25 550407628042 24 550407628053 25 550407628094 25 550407718013 25 550407718081 25 550407718191 25 550407718281 25 550407719012 25 550407719092 25 550407719201 25 550407719282 24 550407720031 25 550407720063 25 550407803023 25 550407803141 25 550407803172 25 550407825021 25 550407825073 25 550407829053 25 550407829102 25 550407829111 25 550407908052 25 550407909024 24 550407909074 25 550407909161 25 550407911063 25 550407911133 25 550407911261 25 550407912013 24 550407912071 25 550407913042 25 550407914042 25 550407915083 25 550407916091 25 550407917021 25 550407917083 25 550407917162 25 550408014103 25 550408016013 25 550408016142 25 550408030043 24 550408101033 25 550408101081 25 550408102052 25 550408102102 25 550408102113 25 550408102173 25 550408102184 25 550408104051 25 550408105023 25 550408105052 25 550408105054 25 550408105063 25 550408107051 25 660108201022 25 660108201032 25 660108202011 15 660108203021 15 660108206012 15 660108212022 15 660108213013 15 660108215013 15 660108217043 15 660108219022 15 660208302011 15 660208304022 15 660208305033 15 660208306064 25 660208307011 15 660208309021 15 660208309043 25 660208309072 25 660208310024 15 660208320022 15 660208412051 15 660208415012 15 660208415062 15 660208418023 15 660308510012 15 660308511033 15 660308512041 15 660308514041 15 660308601024 25 660308601044 25 660308601052 25 660308603031 15 660308604031 15 660308605022 15 660308606022 15 660308609013 15 660408801063 15 660408804022 15 660408815013 15 660408816013 15 660408902041 15 660408906012 15 660408908011 25 660408908013 25 660408909013 15 660408912011 15 660509002043 16 660509003031 15 660509005013 15 660509006032 25 660509006033 25 660509006093 25 660509006112 25 660509108012 25 660509109013 15 660509109054 25 660509110014 15 660509110044 15 660509110142 25 660509111032 15 660509112043 15 660509114013 15 660609312023 15 660609315032 15 660609316022 15 660609318011 25 660609318013 25 660609318053 15 660609403014 15 660609406041 20 660609408012 15 660609410032 15 660709505012 25 660709505025 25 660709505044 25 660709505072 25 660709505073 25 660709506062 15 660709507043 15 660709508052 15 660709604013 15 660709701043 15 660709709012 16 660709711022 15 660709713054 15 660709715024 15 660809801041 15 660809802031 15 660809803063 15 660809807012 15 660809808014 15 660809909021 15 660809916031 15 660809918043 15 660810012033 15 660810013032 25 660810013043 25 660810014024 25 660810014032 25 660810015043 15 660910110043 15 660910113023 15 660910115012 14 660910117041 15 660910120021 15 660910203012 15 660910205011 25 660910205013 25 660910206012 15 660910208033 15 661009602022 15 661009607032 15 661009607054 15 661009607071 25 661009607072 25 661009607082 25 661009609041 15 661009610063 15 661009611053 15 661009611086 15 661109202013 15 661109203032 15 661109204031 15 661109204104 15 661109206011 15 661109207072 16 661109208052 25 661109208053 25 661109208061 15 661109210064 15 661109211052 15 661109212023 15 661208701012 15 661208702014 15 661208703032 15 661208704044 15 661208707021 15 661208707032 15 661208709012 15 661208709051 15 661208709072 25 661208709083 25 661208709092 25 661208711032 15 770110301023 15 770110301033 15 770110302012 15 770110302022 15 770110303013 15 770110304013 15 770110306012 15 770110307013 15 770110312012 15 770210404011 15 770210414032 15 770210415012 15 770210416032 15 770210501022 15 770210512021 15 770210518061 25 770210518072 25 770210518081 25 770310313033 15 770310603011 15 770310607012 15 770310609011 25 770310609012 25 770310609013 25 770310612011 15 770310614012 15 770310617011 15 770310619012 15 770410701022 15 770410703012 15 770410704011 15 770410705032 25 770410706011 15 770410707022 15 770410710012 15 770410712023 15 770410715011 15 770510804013 15 770510814022 15 770510818032 15 770510901023 15 770510905062 25 770510906012 15 770510907023 15 770510908024 15 770510908033 25 770510908072 25 770611008012 15 770611008083 15 770611010061 15 770611010072 25 770611010081 25 770611011022 24 770611011052 25 770611011102 25 770611012041 25 770611012072 25 770611012081 25 770611012091 25 770611104022 15 770611109061 16 770611213021 15 770611213091 15 770611216023 15 770611218051 15 770611219052 15 770711303041 15 770711304022 15 770711305011 25 770711305013 21 770711305043 25 770711308021 15 770711309012 15 770711310032 15 770711412041 15 880111510013 15 880111511023 15 880111519011 15 880111520051 15 880111522012 25 880111522041 25 880111523013 25 880111523022 25 880111524032 25 880111525034 23 880111602021 15 880111602051 15 880111607061 15 880111709101 15 880111712022 15 880111713011 15 880211802012 15 880211802013 15 880211803042 15 880211805013 15 880211807014 15 880211809012 15 880211811011 15 880211812011 25 880211812013 25 880211812031 15 880313001011 15 880313001021 25 880313001031 15 880313002022 15 880313003023 15 880313005014 15 880313007022 15 880313008023 15 880313008032 25 880313010012 15 880411902015 15 880411903023 15 880411905022 15 880412006014 15 880412006051 15 880412007034 15 880412008061 25 880412008071 25 880412008083 25 880412009012 16 880412009111 15 880412011031 15 880412012021 17 880412217023 15 880412219012 15 880412220032 15 880512101012 15 880512103031 15 880512105011 15 880512106012 15 880512107032 15 880512107052 15 880512109022 15 880512110033 16 880512110074 15 880512112012 15 880612301021 25 880612302032 25 880612303013 25 880612305034 25 880612305041 25 880612305052 25 880612306034 25 880612307041 25 880612308012 25 880612309012 25 880612311013 25 880612313011 25 880612315012 25 880612315021 15 880712409021 15 880712410021 15 880712411111 15 880712418012 15 880712501023 15 880712504012 15 880712505061 15 880712507012 15 880712507054 15 880712612012 32 880712612043 25 880712612054 25 880712612074 25 880712614031 40 880712614032 25 880712617013 15 880812702012 15 880812703061 15 880812705021 15 880812706022 15 880812811011 15 880812811051 15 880812812032 15 880812813031 25 880812813043 25 880812814041 15 880812817022 15 880812818072 15 880812820032 25 880812820033 25 880812820053 25 880812907052 15 880913101031 25 880913102011 15 880913104011 16 880913105022 15 880913107012 15 880913108021 15 880913108032 15 880913109013 15 880913111011 15 880913111021 25 880913111032 15 880913112023 15 881013201021 15 881013202023 15 881013203023 15 881013205031 25 881013205032 25 881013205044 25 881013206013 15 881013209011 15 881013210011 15 881013212011 15 881113303021 15 881113305012 15 881113306011 15 881113306051 15 881113307011 25 881113307014 25 881113307024 25 881113307032 25 881113309015 15 881113311034 15 881113311064 15 881113312011 15 990113404024 15 990113405043 15 990113409011 15 990113410011 25 990113410024 25 990113412022 15 990113519021 15 990113520051 15 990113525012 15 990113607031 15 990113615033 15 990113622012 15 990213704021 15 990213705013 15 990213705042 15 990213706033 25 990213706051 25 990213706054 25 990213706061 15 990213801012 15 990213807043 15 990213814011 15 990213818052 15 990213906021 15 990213908021 15 990213916014 15 990314001011 15 990314005011 15 990314006021 15 990314007021 15 990314007022 15 990314012021 25 990314012031 15 990314013012 15 990314114022 15 990314117012 15 990414208062 25 990414209011 15 990414219063 15 990414220043 15 990414301013 25 990414301032 25 990414303022 25 990414304011 25 990414304021 25 990414305023 25 990414305025 25 990414312043 15 990414315021 15 990414317022 15 990414422023 15 990414424034 15 990514501052 15 990514502051 15 990514503042 15 990514504033 15 990514605053 15 990514608031 15 990514611013 15 990514612021 25 990514612022 25 990514613023 15 990514614032 15 990514615033 15 990614813012 15 990614814023 15 990614906012 15 990614910014 15 990615002011 15 990615004014 15 990615004051 25 990615004052 25 990615005023 15 990615017012 15 990714701011 15 990714702034 15 990714705013 15 990714706042 15 990714708041 15 990714709052 15 990714710044 15 990714710051 25 990714710052 25 990714712033 15 household sampling weight / household inflation factor 18650 12 2.168 1138.703 122.423 106.873 population inflation factor (weight_roster x hhsize) 18650 12 2.168 8748.858 628.074 683.08 adult equivalent scale, CSO 18650 12 1 27.17 4.551 2.398 household size 18650 12 1 32 5.237 2.75 indicator variable for hhs used for poverty analysis (1=yes) 18650 12 0 1 0.999 0.0359 0 24 1 18626 Sysmiss 12 poverty status 18650 12 1 extremely poor 4876 2 moderately poor 3746 3 non-poor 10028 Sysmiss 12 food poverty line (in Nov./Dec. 2006 national median prices) 18650 12 62248 62248 62248 0 62248 18650 Sysmiss 12 total poverty line (in Nov./Dec. 2006 national median prices) 18650 12 106413 106413 106413 0 106413 18650 Sysmiss 12