DDI_ZAF_1993_IHS_v01_M World Bank, Development Economics Data Group 2010-06-29 NADA Version 11 (March 2011) Integrated Household Survey 1993 IHS 1993 ZAF_1993_IHS_v01_M Southern Africa Labour and Development Research Unit The World Bank SALDRU, University of Cape Town NADA Government of Denmark Government of the Netherlands Government of Norway LSMS Data Manager Living Standards Measurement Study [hh/lsms] v2.0 Edited anonymous dataset for public distribution poverty education demography housing health expenditure income consumption fertility agriculture land use literacy numeracy The Project for Statistics on Living standards and Development was a coutrywide World Bank Living Standards Measurement Survey. It covered approximately 9000 households, drawn from a representative sample of South African households. The fieldwork was undertaken during the nine months leading up to the country's first democratic elections at the end of April 1994. The purpose of the survey was to collect statistical information about the conditions under which South Africans live in order to provide policymakers with the data necessary for planning strategies. This data would aid the implementation of goals such as those outlined in the Government of National Unity's Reconstruction and Development Programme. South Africa National coverage - Households - Individuals - Community Sample survey data [ssd] Bureau of Market Research Data Research Africa Human Sciences Research Council Mark Data Mr. Sintu Mpambani Sample size is 9,000 households The sample design adopted for the study was a two-stage self-weightingdesign in which the first stage units were Census Enumerator Subdistricts (ESDs, or their equivalent) and the second stage were households. The advantage of using such a design is that it provides a representative sample that need not be based on accurate census population distribution.in the case of South Africa, the sample will automatically include many poor people, without the need to go beyond this and oversample the poor. Proportionate sampling as in such a self-weighting sample design offers the simplest possible data files for further analysis, as weights do not have to be added. However, in the end this advantage could not be retained and weights had to be added. The sampling frame was drawn up on the basis of small, clearly demarcated area units, each with a population estimate. The nature of the self-weighting procedure adopted ensured that this population estimate was not important for determining the final sample, however. For most of the country, census ESDs were used. Where some ESDs comprised relatively large populations as for instance in some black townships such as Soweto, aerial photographs were used to divide the areas into blocks of approximately equal population size. In other instances, particularly in some of the former homelands, the area units were not ESDs but villages or village groups. In the sample design chosen, the area stage units (generally ESDs) were selected with probability proportional to size, based on the census population. Systematic sampling was used throughout that is, sampling at fixed interval in a list of ESDs, starting at a randomly selected starting point. Given that sampling was self-weighting, the impact of stratification was expected to be modest. The main objective was to ensure that the racial and geographic breakdown approximated the national population distribution. This was done by listing the area stage units (ESDs) by statistical region and then within the statistical region by urban or rural. Within these sub-statistical regions, the ESDs were then listed in order of percentage African. The sampling interval for the selection of the ESDs was obtained by dividing the 1991 census population of 38,120,853 by the 300 clusters to be selected. This yielded 105,800. Starting at a randomly selected point, every 105,800th person down the cluster list was selected. This ensured both geographic and racial diversity (ESDs were ordered by statistical sub-region and proportion of the population African). In three or four instances, the ESD chosen was judged inaccessible and replaced with a similar one. In the second sampling stage the unit of analysis was the household. In each selected ESD a listing or enumeration of households was carried out by means of a field operation. From the households listed in an ESD a sample of households was selected by systematic sampling. Even though the ultimate enumeration unit was the household, in most cases "stands" were used as enumeration units. However, when a stand was chosen as the enumeration unit all households on that stand had to be interviewed. Census population data, however, was available only for 1991. An assumption on population growth was thus made to obtain an approximation of the population size for 1993, the year of the survey. The sampling interval at the level of the household was determined in the following way: Based on the decision to have a take of 125 individuals on average per cluster (i.e. assuming 5 members per household to give an average cluster size of 25 households), the interval of households to be selected was determined as the census population divided by 118.1, i.e. allowing for population growth since the census. It was subsequently discovered that population growth was slightly over-estimated but this had little effect on the findings of the survey. Individuals in hospitals, old age homes, hotels and hostels of educational institutions were not included in the sample. Migrant labour hostels were included. In addition to those that turned up in the selected ESDs, a sample of three hostels was chosen from a national list provided by the Human Sciences Research Council and within each of these hostels a representative sample was drawn on a similar basis as described abovefor the households in ESDs. Face-to-face [f2f] The main instrument used in the survey was a comprehensive household questionnaire. This questionnaire covered a wide range of topics but was not intended to provide exhaustive coverage of any single subject. In other words, it was an integrated questionnaire aimed at capturing different aspects of living standards. The topics covered included demography, household services, household expenditure, educational status and expenditure, remittances and marital maintenance, land access and use, employment and income, health status and expenditure and anthropometry (children under the age of six were weighed and their heights measured). This questionnaire was available to households in two languages, namely English and Afrikaans. In addition, interviewers had in their possession a translation in the dominant African language/s of the region. In addition to the detailed household questionnaire referred to above, a community questionnaire was administered in each cluster of the sample. The purpose of this questionnaire was to elicit information on the facilities available to the community in each cluster. Questions related primarily to the provision of education, health and recreational facilities. Furthermore there was a detailed section for the prices of a range of commodities from two retail sources in or near the cluster: a formal source such as a supermarket and a less formal one such as the "corner cafe" or a "spaza". The purpose of this latter section was to obtain a measure of regional price variation both by region and by retail source. These prices were obtained by the interviewer. For the questions relating to the provision of facilities, respondents were "prominent" members of the community such as school principals, priests and chiefs. The Bureau of Market Research was responsible for the rural and the predominantly non- African urban areas of the Transvaal excluding the homelands. Mark Data conducted surveys in the Orange Free State, Qwa-Qwa, Bophuthatswana and Lebowa. Social Surveys covered the African townships in the PWW as well as Venda, Gazankulu and Kwandebele. Data Research Africa from Natal was responsible for the field work in Kwazulu and Kangwane. The rest of Natal and the Ciskei was covered by the HSRC in Durban. The HSRC in Cape Town covered the Northern, Western and Eastern Cape. Finally, a team under Sintu Mpambani from the University of the Transkei covered the difficult terrain in the Transkei. Completed questionnaires were sent to Saldru where data entry management and cleaning were centralized. A self-weighting sample design should in principle eliminate the need for weighting. A number of factors intervened, however, which made it essential to use weights after all. Amongst these was violence, which prevented survey teams from conducting interviews in two clusters on the East Rand; failure to continue interviewing in a cluster until the required take had been interviewed; and systematic under-representation of whites in the sample. This last problem resulted both from systematic non-response (whites were found to be more likely to refuse to be interviewed, or to be absent than other groups) and from sampling problems themselves. The importance of race in determining living standards in South Africa is such that the racial distribution of the population has a major bearing on measures of living standards and inequality. It was thus regarded as essential that the problems mentioned above should be overcome by applying appropriate weights to the data. The most appropriate weights to apply would usually be the average values obtained in a cluster for the missing questionnaires from that cluster in order to capture the homogeneity usually inherent in residential contiguity. However, that presented some difficulty for the two clusters in which violence prevented surveying and for those clusters in which there were only a small number of questionnaires completed. It was felt that this method would therefore not be appropriate. Accordingly it was decided to use weights as far as possible at the level of the old provincial/homeland boundaries and race. The listing of households in each cluster combined with the sampling interval was used to determine how many households should have been interviewed. Where this deviated from the number actually interviewed, this was taken into account. The assumption was that the households left out were racially distributed in the same proportion as the actual households interviewed. When these numbers were then calculated at the provincial level, a weight could be calculated for each race group to rectify errors made in the field work. These errors typically resulted from the fact that most field work organizations involved had little experience of using anything but a weighted sample and were used to replacements that could easily be added ex post, not necessarily in the same area. When these mistakes were discovered, it was too late to go back to the field. The sample of 360 clusters of 25 households each based on an expected household size of 5 should have yielded a resident population of 45,000. In fact, a different household size should not affect the results. In any particular cluster, the expected take of individuals would remain the same if the census population were accurate, irrespective of household size, for a smaller household size (as in the case of whites) would only have yielded more households, of whom a given proportion would have been interviewed. If in a particular cluster the census population was 472, every fourth household should have been interviewed (based on a sampling interval calculated to produce 125 persons per cluster in 1993, the expected take based on the census data of 118.1 per duster divided into the same population size). Irrespective of household size, then, one quarter of the cluster population would have been included in the survey. An average household size of 5 would have given 94 households of whom 23 would have been interviewed, i.e. 115 resident household members would have been found. If the household size were only three, on the other hand, one-quarter of the 157 households would have been 39, representing 117 household members. Only small differences from the expected take of 118 should thus arise, due to rounding. Only if the estimate of population based on the census is wrong, however, would the actual number of households deviate substantially from the expected take. In such a case, one quarter of the actual (i.e. listed or enumerated) rather than of the census population would have been included in the survey, i.e. there would have been an automatic adjustment. This gives the sample design its self-weighting character. The census population for the survey data was estimated by applying Sadie's population growth rates to the adjusted 1991 census figures. The resultant racial and geographic distribution of the population of 40.1 million was presuming, of course, that no migration across provincial and homeland boundaries had occurred since the census. This implies that a raising factor of 891.4154 (40.1 million divided by an expected take of 45,000) should be applied to the results weighted by enumeration to obtain the population it represents. Applying the weights according to enumeration, 38.1 million people were covered by the survey, i.e. there was a 2 million under-enumeration amounting to about 5 per cent. Broken down by race, the under-enumeration was particularly large amongst whites, for whom the best census data exists, indicating that the problem did not lie so much with the census as with the survey. However, this is to be expected - a survey of this nature is better at capturing inequality and living standards than population size. Nevertheless, the margin of error in aggregate population estimates is relatively small, considering the presence of some homeless people, uncertainties about ESD boundaries in some areas and the likelihood of incomplete listings of households for various reasons. These results are therefore encouraging regarding the accuracy of the survey and also confirm that the adjusted census does not deviate substantially from population estimates obtained in a different manner. However, the raised enumeration results deviate more from the census results where the provincial breakdown is concerned. The reason for this is not hard to find. The sample design introduced stratification only by geographic area (statistical regions) and proportion of the ESD population that was black. South African population clusters are still predominantly racially homogeneous, inter alia, because of past controls on residential patterns. It is therefore not surprising that in particular regions too few or too many clusters of a particular group were selected. In Natal, for instance, Coloureds and Indians are over represented in the data, even when weighted by enumeration, while Whites are under-represented. At the aggregate level, this should have little effect on the validity of the conclusions drawn, but it emphasizes the fact that care should be taken when drawing implications from the survey for Small populations. In small provinces (for instance, the new Northern Cape), only a small number of clusters has been included, with the result that little can be concluded about living standards there, even though these clusters are important in determining overall distribution. As a final comment on weights, the data provided for the user contains weights to correct for the enumeration difficulties discussed above as well as census based weights. If the user of the data wishes to use these weights they are found in the data file named "weight02". The variable name for the enumeration-based weight is "rsweight" and the name for the census-based weight is "rcweight". (Do not use the "sweight" and "cweight" variables.) All the questionnaires were checked when received. Where information was incomplete or appeared contradictory, the questionnaire was sent back to the relevant survey organization. As soon as the data was available, it was captured using local development platform ADE. This was completed in February 1994. Following this, a series of exploratory programs were written to highlight inconsistencies and outlier. For example, all person level files were linked together to ensure that the same person code reported in different sections of the questionnaire corresponded to the same person. The error reports from these programs were compared to the questionnaires and the necessary alterations made. This was a lengthy process, as several files were checked more than once, and completed at the beginning of August 1994. In some cases questionnaires would contain missing values, or comments that the respondent did not know, or refused to answer a question. These responses are coded in the data files with the following values: VALUE MEANING -1 : The data was not available on the questionnaire or form -2 : The field is not applicable -3 : Respondent refused to answer -4 : Respondent did not know answer to question The data collected in clusters 217 and 218 should be viewed as highly unreliable and therefore removed from the data set. The data currently available on the web site has been revised to remove the data from these clusters. Researchers who have downloaded the data in the past should revise their data sets. For information on the data in those clusters, contact SALDRU http://www.saldru.uct.ac.za/. World Bank LSMS Use of the dataset must be acknowledged by including a citation which would include: - Identification of the Primary Investigator - Title of the survey (including the year of implementation) - Survey reference number - Source and date of download Example: Southern Africa Labour and Development Research Unit. Integrated Household Survey (IHS) 1993 Ref. ZAF_1993_IHS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date] In receiving these data it is recognized that the data are supplied for use within my organization, and I agree to the following stipulations as conditions for the use of the data: 1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly. 2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to: SALDRU School of Economics University of Cape Town Private Bag, Rondebosch, 7700 SOUTH AFRICA info@data1st.org AND The World Bank Development Economics Research Group LSMS Database Administrator MSN MC3-306 1818 H Street, NW Washington, DC 20433, USA tel: (202) 473-9041 fax: (202) 522-1153 e-mail: lsms@worldbank.org 3. The researcher will refer to the 1993 South Africa Integrated Household Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s). 4. Users who download the data may not pass the data to third parties. 5. The database cannot be used for commercial ends, nor can it be sold. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. CFPRI01 Cluster Food Prices 9667 4 CFPRI03 Cluster Food Prices with Imputed values 9464 11 COMPRIV9 7: Shops and Commodity prices 18259 4 FCODE1 Food Conversion Table: Quantity & Calories 31 3 FCODE2 Food Conversion Table: Quan, Cal & Prices 31 7 FOODEX01 Food Expenditure - Total Values 151833 9 FOODEX02 Food Expenditure - Total Values with imputed 151833 9 FOODEX10 Food Consumption and Expenditure 151833 11 HHEXPTL Total Monthly Expenditure 8811 42 HHFEXP Monthly Food Expenditure and Shares 8810 21 HHFEXPT Total Monthly Food Expenditure 8651 6 HHINCTL Total Monthly Income 8810 33 HHSIZE Household Size 8809 4 HHSTX01 Summary Expenditure 8810 13 M1_AGR2 8.5.1.2 Livestock: cattle etc (1) 3014 12 M1_AGR4 8.5.1.5 Other Farming Cost 1291 4 M1_CASW2 8.3.5 Second casual job 30 12 M1_ED2 5.2 Education Spending 17046 4 M2_AGR1 8.5.1.1 Crop production 1409 9 M2_NFS1 4.1 Regular Non food spending 43998 4 M2_NFS3 4.3 Summary of Food And Non-Food Spending 29988 6 M2_NFS4 4.4 Household items 35187 4 M2_REM1 6.1 Remittances Income received from ..... 2729 11 M2_REM2 6.2 People absent..who receive.... 1771 11 M3_CASW1 8.3.1 Main casual job 937 12 M3_HEA1 10.1 Health Spending/Incidence 3383 14 M3_HSV4 2.5 Expenditure on Energy, Water, Rates Expenditure 18010 4 M3_LAND2 7.2 Non-Farming land etc 484 6 M3_NFS2 4.2 Occasional Non Food Spending 35749 4 M3_NFS5 4.5 Household debt 5429 5 M3_SEMP 8.6 Other forms of self employment 1135 12 M4_ED1 5.1 Education Enrolment 16782 12 M4_HEA2 10.2 Pregnancy and Child Health 10654 12 M4_TRAN 8.4 Transport 8310 8 M5_EDUC1 3.1: Education- FOR ALL PRIMARY SCHOOLS 2673 5 M5_EDUC2 3.2: Education- FOR ALL SECONDARY SCHOOLS 4009 5 M5_HEAL1 4.1: health - PERSONNEL 2338 4 M5_HEAL2 4.2: health - FACILITIES 2005 5 M5_INES 8.7 Income: Non-Employment 3344 6 M5_RECR 6: Recreational Facilities 2673 5 M6_ANTH 11 Anthropometry 5993 27 M6_ECON1 2: Economy and Infrastructure 2339 5 M6_REMP 8.2 Regular Employment 7513 20 M8_EMPS 8.1 Employment Status 24296 18 M8_HROST 1.0 Household Roster 43687 18 M10_FSC 3.0 Food spending and consumption 151027 11 METRO Metropolitan Classification 358 2 NF1X01 Non Food Regular: Monthly Expenditure 8809 17 NF2X02 Non Food Occational: Year Expenditure 8809 17 PSAMPLE4 Sampling frame 358 13 S0_AGR5 8.5.2 Agriculture-Large Scale, Commercial 35 20 S0_AGRC 5: Agriculture 207 22 S1_AGR2 8.5.1.2 Livestock: Cattle etc (2) 1442 13 S1_AGR3 8.5.1.3 Other Farming Income 1141 13 S1_ED2 5.3 Bursaries.scholarships + meals 5971 6 S1_EDUC3 3.2: Education - LITERACY PROGRAMS 299 10 S1_HEAL1 4 : OTHER HEALTH SERVICES 299 15 S3_DEMOG 1: Demographic Information 334 15 S3_ECON2 2: Economy and Infrastructure 335 6 S3_EDUC2 3.2: Education - SECONDARY SCHOOLS 334 4 S3_HSV2 2.2/2.3 Water and Sanitation 8808 21 S3_HSV3 2.4 Energy 8808 20 S4_EDUC1 3.1: Education - PRIMARY SCHOOLS 334 4 S4_HDEF 0.0 Household definition : Cover Page 8809 22 S4_HSV1 2.1 Housing 8796 21 S4_LAND1 7.1 Agricultural land 1302 34 S5_ECON1 2: Economy and Infrastructure 334 8 S5_PQL 9 Perceived quality of life 8804 21 SAMPLE04 Information on Sample 358 14 STRATA2 Basic Cross Variables 8809 11 WEIGHT02 Weighting Information 31 11 9667 360 180.275 104.192 9667 1 28 14.519 8.225 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 7178 2489 -1 37 5.093 4.998 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 5122 4545 -1 32.8 5.178 5.082 9464 1 360 178.747 104.133 1a:Food code 1a:Food code 1a:Food code 1a:Food code 1a:Food code 9464 1 28 14.535 8.108 Num. Commodities Observed by Cl Num. Commodities Observed by Cl Num. Commodities Observed by Cl Num. Commodities Observed by Cl Num. Commodities Observed by Cl 9464 1 114 15.483 10.478 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 Cluster Food Price source 1 7028 2436 -1 37 5.046 4.919 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 Cluster Food Price source 2 4948 4516 -1 32.8 5.05 4.933 Cluster Food Price Cluster Food Price Cluster Food Price Cluster Food Price Cluster Food Price 9464 0.5 37 5.405 5.094 Missing Values Missing Values Missing Values Missing Values Missing Values 9464 2 3 4 5 Median Implicit Cluster Price Median Implicit Cluster Price Median Implicit Cluster Price Median Implicit Cluster Price Median Implicit Cluster Price 704 8760 0.05 100 4.551 7.141 Province Province Province Province Province 9464 1 2 3 4 5 6 7 8 9 10 11 12 13 14 New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code 9464 1 4006 651.469 756.183 Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural 9464 1 2 3 :Cluster Number :Cluster Number :Cluster Number :Cluster Number :Cluster Number 18259 3.69e-40 360 180.278 104.19 18259 3.69e-40 51 25.999 14.721 12284 5975 3.69e-40 37 4.615 5.116 8861 9398 3.69e-40 36.8 4.717 5.183 31 1 31 16 9.092 Kilogram conversion Kilogram conversion Kilogram conversion Kilogram conversion Kilogram conversion 31 1 0.805 0.366 Calories per Kilogram Calories per Kilogram Calories per Kilogram Calories per Kilogram Calories per Kilogram 31 8340 2053.871 2046.217 31 1 31 16 9.092 Kilogram conversion Kilogram conversion Kilogram conversion Kilogram conversion Kilogram conversion 31 1 0.805 0.366 Calories per Kilogram Calories per Kilogram Calories per Kilogram Calories per Kilogram Calories per Kilogram 31 8340 2053.871 2046.217 Imputed Median Kg Price Imputed Median Kg Price Imputed Median Kg Price Imputed Median Kg Price Imputed Median Kg Price 28 3 1 18 4.703 4.102 Imputed Mean Kg Price Imputed Mean Kg Price Imputed Mean Kg Price Imputed Mean Kg Price Imputed Mean Kg Price 28 3 1.369 18.3 5.628 4.314 Imputed Standard deviation Imputed Standard deviation Imputed Standard deviation Imputed Standard deviation Imputed Standard deviation 28 3 0.548 25.007 5.266 5.716 Number of Observations Number of Observations Number of Observations Number of Observations Number of Observations 31 199 64.71 56.642 Household identification No Household identification No Household identification No Household identification No Household identification No 151833 1001 360017 168160.724 101743.057 1a:Food code 1a:Food code 1a:Food code 1a:Food code 1a:Food code 151833 1 31 14.772 8.448 Missing ? Missing ? Missing ? Missing ? Missing ? 151833 2 4 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 146789 5044 -2 -1 1 2 Sysmiss Monthly value purchased Monthly value purchased Monthly value purchased Monthly value purchased Monthly value purchased 146789 5044 3826 29.943 50.622 Monthly value received Monthly value received Monthly value received Monthly value received Monthly value received 3480 148353 0.166 5281.34 35.666 110.849 Monthly value produced Monthly value produced Monthly value produced Monthly value produced Monthly value produced 1230 150603 0.5 4114.023 51.905 144.503 Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed 150476 1357 0.109 5307.945 30.458 54.742 Cluster number Cluster number Cluster number Cluster number Cluster number 151833 1 360 168.136 101.75 Household identification No Household identification No Household identification No Household identification No Household identification No 151833 1001 360017 168160.724 101743.057 1a:Food code 1a:Food code 1a:Food code 1a:Food code 1a:Food code 151833 1 31 14.772 8.448 Missing ? Missing ? Missing ? Missing ? Missing ? 151833 2 4 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 146789 5044 -2 -1 1 2 Sysmiss Monthly value purchased Monthly value purchased Monthly value purchased Monthly value purchased Monthly value purchased 146789 5044 3826 29.943 50.622 Monthly value received Monthly value received Monthly value received Monthly value received Monthly value received 3480 148353 0.166 5281.34 35.666 110.849 Monthly value produced Monthly value produced Monthly value produced Monthly value produced Monthly value produced 1230 150603 0.5 4114.023 51.905 144.503 Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed Monthly expenditure consumed 151833 0.109 5307.945 30.506 54.704 Cluster number Cluster number Cluster number Cluster number Cluster number 151833 1 360 168.136 101.75 Household identification No Household identification No Household identification No Household identification No Household identification No 151833 1001 360017 168160.724 101743.057 1a:Food code 1a:Food code 1a:Food code 1a:Food code 1a:Food code 151833 1 31 14.772 8.448 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 151833 -2 -1 1 2 3a:Value of food 3a:Value of food 3a:Value of food 3a:Value of food 3a:Value of food 151833 -4 3500 10.109 31.613 3b:Quantity 3b:Quantity 3b:Quantity 3b:Quantity 3b:Quantity 151833 -4 320 3.765 10.317 4a:Value of food received 4a:Value of food received 4a:Value of food received 4a:Value of food received 4a:Value of food received 151833 -4 500 0.119 4.212 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 151833 -4 397 0.183 3.528 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 151833 -4 300 0.0471 1.968 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 151833 -4 240 0.093 2.15 Missing ? Missing ? Missing ? Missing ? Missing ? 151833 2 4 Cluster number Cluster number Cluster number Cluster number Cluster number 151833 1 360 168.136 101.75 Household identification No Household identification No Household identification No Household identification No Household identification No 8811 1001 360017 179756.647 102407.773 Marker Marker Marker Marker Marker 8809 2 1 2 3 4 5 Sysmiss Total Housing Expenditure Total Housing Expenditure Total Housing Expenditure Total Housing Expenditure Total Housing Expenditure 8810 1 0.0118 100000 263.59 1142.49 Tot exp: energy, water, rates Tot exp: energy, water, rates Tot exp: energy, water, rates Tot exp: energy, water, rates Tot exp: energy, water, rates 8809 2 4643 122.426 155.919 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss Total Monthly Food exp. Total Monthly Food exp. Total Monthly Food exp. Total Monthly Food exp. Total Monthly Food exp. 8773 38 4 5807.105 549.417 398.036 Marker Marker Marker Marker Marker 8810 1 1 Sysmiss Vehicle Exp. Vehicle Exp. Vehicle Exp. Vehicle Exp. Vehicle Exp. 8809 2 4000 71.951 202.63 Transportation Exp. Transportation Exp. Transportation Exp. Transportation Exp. Transportation Exp. 8809 2 27300 99.976 456.581 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss Personal Items Personal Items Personal Items Personal Items Personal Items 8809 2 5400 131.729 201.487 Other NonFood 1 Other NonFood 1 Other NonFood 1 Other NonFood 1 Other NonFood 1 8809 2 3520 84.741 188.918 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss Household Exp. Household Exp. Household Exp. Household Exp. Household Exp. 8809 2 1215.833 15.1 46.949 Clothing Exp. Clothing Exp. Clothing Exp. Clothing Exp. Clothing Exp. 8809 2 3083.333 70.071 107.341 Health Care Exp. Health Care Exp. Health Care Exp. Health Care Exp. Health Care Exp. 8809 2 3791.667 28.673 125.332 Other NonFood 2 Other NonFood 2 Other NonFood 2 Other NonFood 2 Other NonFood 2 8809 2 10000 43.352 253.333 Insurance. Insurance. Insurance. Insurance. Insurance. 8809 2 12000 90.799 283.422 Saving. Saving. Saving. Saving. Saving. 8809 2 16666 62.32 304.513 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss Total School Expenditure Total School Expenditure Total School Expenditure Total School Expenditure Total School Expenditure 8808 3 4458.332 54.766 187.007 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss Tot Month Remittance Expenditur Tot Month Remittance Expenditur Tot Month Remittance Expenditur Tot Month Remittance Expenditur Tot Month Remittance Expenditur 8783 28 5416.664 36.133 154.287 Marker Marker Marker Marker Marker 8809 2 1 2 Sysmiss HH Size All HH Size All HH Size All HH Size All HH Size All 8809 2 1 31 4.959 3.297 HH Size Memebers HH Size Memebers HH Size Memebers HH Size Memebers HH Size Memebers 8809 2 1 30 4.548 2.973 Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy 8811 100000 56.756 1083.41 Total Month Food Received Total Month Food Received Total Month Food Received Total Month Food Received Total Month Food Received 8811 3000 22.804 79.4 Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value 8811 5301.637 14.087 81.938 Flag Food Received Wage Flag Food Received Wage Flag Food Received Wage Flag Food Received Wage Flag Food Received Wage 8811 1 Flag Food Received Remittances Flag Food Received Remittances Flag Food Received Remittances Flag Food Received Remittances Flag Food Received Remittances 8811 1 Flag Food Received F.O.S Flag Food Received F.O.S Flag Food Received F.O.S Flag Food Received F.O.S Flag Food Received F.O.S 8811 1 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 8811 50000 57.046 940.47 sum 7 :Transport costs sum 7 :Transport costs sum 7 :Transport costs sum 7 :Transport costs sum 7 :Transport costs 8811 400 2.902 13.826 Marker Marker Marker Marker Marker 5328 3483 1 2 Sysmiss sum 4 :Transport cost sum 4 :Transport cost sum 4 :Transport cost sum 4 :Transport cost sum 4 :Transport cost 8811 160 3.664 7.618 Marker Marker Marker Marker Marker 5722 3089 1 2 Sysmiss 8811 405 6.567 16.765 Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy 691 8120 1 6450 574.227 872.66 Total Monthy Expenditure Total Monthy Expenditure Total Monthy Expenditure Total Monthy Expenditure Total Monthy Expenditure 8770 41 44.079 103536.813 1688.934 2253.712 Total Monthy Exp. w/ remittance Total Monthy Exp. w/ remittance Total Monthy Exp. w/ remittance Total Monthy Exp. w/ remittance Total Monthy Exp. w/ remittance 8744 67 45.337 103536.813 1721.602 2270.598 Cluster number Cluster number Cluster number Cluster number Cluster number 8811 1 360 179.733 102.413 Household identification No Household identification No Household identification No Household identification No Household identification No 8810 1001 360017 179765.696 102410.063 max HH Size Memebers max HH Size Memebers max HH Size Memebers max HH Size Memebers max HH Size Memebers 8809 1 1 30 4.548 2.973 Per capita grain month exp. Per capita grain month exp. Per capita grain month exp. Per capita grain month exp. Per capita grain month exp. 8651 159 323 33.799 23.366 Per capita meat & fish month ex Per capita meat & fish month ex Per capita meat & fish month ex Per capita meat & fish month ex Per capita meat & fish month ex 8651 159 987.926 39.652 45.211 Per capita dairy month exp. Per capita dairy month exp. Per capita dairy month exp. Per capita dairy month exp. Per capita dairy month exp. 8650 160 888.241 16.8 26.067 Per capita fru. and veg. month Per capita fru. and veg. month Per capita fru. and veg. month Per capita fru. and veg. month Per capita fru. and veg. month 8651 159 346.85 23.298 21.584 Per capita oil month exp. Per capita oil month exp. Per capita oil month exp. Per capita oil month exp. Per capita oil month exp. 8651 159 164.905 7.144 7.621 Per capita sugar month exp. Per capita sugar month exp. Per capita sugar month exp. Per capita sugar month exp. Per capita sugar month exp. 8651 159 160.713 5.523 5.233 Per capita meals month exp. Per capita meals month exp. Per capita meals month exp. Per capita meals month exp. Per capita meals month exp. 8650 160 1775 13.392 49.978 Per capita other month exp. Per capita other month exp. Per capita other month exp. Per capita other month exp. Per capita other month exp. 8651 159 430 12.3 21.566 Per capita tot food month exp. Per capita tot food month exp. Per capita tot food month exp. Per capita tot food month exp. Per capita tot food month exp. 8650 160 0.571 1915.965 151.922 126.568 Household tot food month exp. Household tot food month exp. Household tot food month exp. Household tot food month exp. Household tot food month exp. 8651 159 2.173 5807.105 535.404 392.351 Share grain month exp. Share grain month exp. Share grain month exp. Share grain month exp. Share grain month exp. 8650 160 100 30.246 18.814 Share meat & fish month exp. Share meat & fish month exp. Share meat & fish month exp. Share meat & fish month exp. Share meat & fish month exp. 8650 160 100 23.222 13.751 Share dairy month exp. Share dairy month exp. Share dairy month exp. Share dairy month exp. Share dairy month exp. 8650 160 94.356 9.298 9.961 Share fru. and veg. month exp. Share fru. and veg. month exp. Share fru. and veg. month exp. Share fru. and veg. month exp. Share fru. and veg. month exp. 8650 160 100 15.944 8.649 Share oil month exp. Share oil month exp. Share oil month exp. Share oil month exp. Share oil month exp. 8650 160 100 4.987 4.06 Share sugar month exp. Share sugar month exp. Share sugar month exp. Share sugar month exp. Share sugar month exp. 8650 160 100 5.211 5.051 Share meals month exp. Share meals month exp. Share meals month exp. Share meals month exp. Share meals month exp. 8650 160 100 4.606 11.253 Share other month exp. Share other month exp. Share other month exp. Share other month exp. Share other month exp. 8650 160 100 6.485 8.67 Cluster number Cluster number Cluster number Cluster number Cluster number 8810 1 360 179.742 102.416 Household identification No Household identification No Household identification No Household identification No Household identification No 8651 1001 360017 181176.424 102634.107 Tot Month Food Purchase Value Tot Month Food Purchase Value Tot Month Food Purchase Value Tot Month Food Purchase Value Tot Month Food Purchase Value 8651 5109.723 508.067 384.023 Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value 8651 5301.637 14.347 82.669 Tot Month Food Produced Value Tot Month Food Produced Value Tot Month Food Produced Value Tot Month Food Produced Value Tot Month Food Produced Value 8651 4570.473 7.38 67.384 Tot Month Food Value Tot Month Food Value Tot Month Food Value Tot Month Food Value Tot Month Food Value 8651 2.173 5807.105 535.404 392.351 Cluster number Cluster number Cluster number Cluster number Cluster number 8651 1 360 181.153 102.64 Rental Income Rental Income Rental Income Rental Income Rental Income 8809 1 64933.414 37.059 836.286 Household Net Wage Household Net Wage Household Net Wage Household Net Wage Household Net Wage 8784 26 93971.508 1207.07 2264.57 Household Gross Wage Household Gross Wage Household Gross Wage Household Gross Wage Household Gross Wage 8784 26 183250 1445.014 3695.227 Imp house prop value - 5.0% Imp house prop value - 5.0% Imp house prop value - 5.0% Imp house prop value - 5.0% Imp house prop value - 5.0% 8809 1 5150 99.283 257.138 Crop Rental Income Crop Rental Income Crop Rental Income Crop Rental Income Crop Rental Income 8809 1 15000 5.345 220.866 Grazing Rental Income Grazing Rental Income Grazing Rental Income Grazing Rental Income Grazing Rental Income 8809 1 8036 2.751 129.385 Total Yearly Cash received Total Yearly Cash received Total Yearly Cash received Total Yearly Cash received Total Yearly Cash received 2127 6683 2000 28.296 77.09 Total Monthly in kind Total Monthly in kind Total Monthly in kind Total Monthly in kind Total Monthly in kind 8809 1 2000 6.832 39.763 Total Monthly received Total Monthly received Total Monthly received Total Monthly received Total Monthly received 8809 1 5301.637 65.166 184.722 Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy Household Travel Subsidy 8784 26 6450 45.58 291.1 Household Food Subsidy Household Food Subsidy Household Food Subsidy Household Food Subsidy Household Food Subsidy 8806 4 3000 22.928 80.584 Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy Household Housing Subsidy 8787 23 6450 48.831 204.96 Household Cas 1 Wage Household Cas 1 Wage Household Cas 1 Wage Household Cas 1 Wage Household Cas 1 Wage 8758 52 19000 44.141 322.933 Household Cas 1 Food Subsidy Household Cas 1 Food Subsidy Household Cas 1 Food Subsidy Household Cas 1 Food Subsidy Household Cas 1 Food Subsidy 8758 52 1000 1.485 22.028 Household Cas 1 subsidy Household Cas 1 subsidy Household Cas 1 subsidy Household Cas 1 subsidy Household Cas 1 subsidy 8758 52 2905 0.759 33.612 Household Cas 2 Wage Household Cas 2 Wage Household Cas 2 Wage Household Cas 2 Wage Household Cas 2 Wage 8808 2 1900 1.134 30.542 Household Cas 2 Food Subsidy Household Cas 2 Food Subsidy Household Cas 2 Food Subsidy Household Cas 2 Food Subsidy Household Cas 2 Food Subsidy 8808 2 600 0.109 6.839 Household Cas 2 subsidy Household Cas 2 subsidy Household Cas 2 subsidy Household Cas 2 subsidy Household Cas 2 subsidy 8808 2 5 16 Sysmiss Valid Large Farmers ? Valid Large Farmers ? Valid Large Farmers ? Valid Large Farmers ? Valid Large Farmers ? 35 8775 1 Sysmiss Value of Ag. Income Value of Ag. Income Value of Ag. Income Value of Ag. Income Value of Ag. Income 8808 2 -8541.664 124733.313 84.464 2370.596 Value of Ag. Subsidy Value of Ag. Subsidy Value of Ag. Subsidy Value of Ag. Subsidy Value of Ag. Subsidy 8809 1 14416.664 5.53 218.58 Household profit value Household profit value Household profit value Household profit value Household profit value 8704 106 100000 129.949 1730.95 Household other income Household other income Household other income Household other income Household other income 8809 1 75711 211.378 1166.606 Household identification No Household identification No Household identification No Household identification No Household identification No 8810 1001 360017 179765.696 102410.063 Missing Wage value Missing Wage value Missing Wage value Missing Wage value Missing Wage value 8809 1 1 2 Sysmiss With missing Cas 1 Wage value With missing Cas 1 Wage value With missing Cas 1 Wage value With missing Cas 1 Wage value With missing Cas 1 Wage value 8809 1 1 2 Sysmiss With missing Cas 2 Wage value With missing Cas 2 Wage value With missing Cas 2 Wage value With missing Cas 2 Wage value With missing Cas 2 Wage value 8809 1 1 Sysmiss Missing profit data Missing profit data Missing profit data Missing profit data Missing profit data 8809 1 1 2 Sysmiss Missing Values Missing Values Missing Values Missing Values Missing Values 8809 1 Sysmiss Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value Tot Month Food Received Value 8651 159 5301.637 14.347 82.669 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 936 7874 2 2000 105.203 230.035 Total Monthy Income Total Monthy Income Total Monthy Income Total Monthy Income Total Monthy Income 8634 176 -4375.449 207979.813 2016.904 4613.719 Cluster number Cluster number Cluster number Cluster number Cluster number 8810 1 360 179.742 102.416 Household identification No Household identification No Household identification No Household identification No Household identification No 8809 1001 360017 179767.71 102415.701 HH Size All HH Size All HH Size All HH Size All HH Size All 8809 1 31 4.959 3.297 HH Size Memebers HH Size Memebers HH Size Memebers HH Size Memebers HH Size Memebers 8809 1 30 4.548 2.973 Cluster number Cluster number Cluster number Cluster number Cluster number 8809 1 360 179.744 102.421 Household identification No Household identification No Household identification No Household identification No Household identification No 8810 3.69e-40 360017 179747.305 102427.796 Groceries. Groceries. Groceries. Groceries. Groceries. 8808 2 6000 320.475 321.098 Food eaten out. Food eaten out. Food eaten out. Food eaten out. Food eaten out. 8809 1 3500 26.875 94.477 Holidays. Holidays. Holidays. Holidays. Holidays. 8809 1 10000 35.58 236.946 Cars, etc. Cars, etc. Cars, etc. Cars, etc. Cars, etc. 8805 5 88523 121.205 1644.329 Furniture. Furniture. Furniture. Furniture. Furniture. 8809 1 7550 58.587 184.044 Clothing. Clothing. Clothing. Clothing. Clothing. 8809 1 2500 73.693 117.316 domestic workers. domestic workers. domestic workers. domestic workers. domestic workers. 8809 1 5000 37.775 128.666 Insurance. Insurance. Insurance. Insurance. Insurance. 8805 5 12000 90.84 283.48 Saving. Saving. Saving. Saving. Saving. 8788 22 16666 62.469 304.861 Summary Exp: total Summary Exp: total Summary Exp: total Summary Exp: total Summary Exp: total 8778 32 92530 826.675 2081.302 Marker Marker Marker Marker Marker 8810 3.68782519453291e-40 1 2 Cluster number Cluster number Cluster number Cluster number Cluster number 8810 360 179.723 102.434 Household identification No Household identification No Household identification No Household identification No Household identification No 3014 2024 360012 274058.11 61611.277 :Livestock Code :Livestock Code :Livestock Code :Livestock Code :Livestock Code 3014 1 2 3 4 5 2a:No of livestock owned now 2a:No of livestock owned now 2a:No of livestock owned now 2a:No of livestock owned now 2a:No of livestock owned now 3014 -4 2000 9.947 42.078 2b:No of livestock born 2b:No of livestock born 2b:No of livestock born 2b:No of livestock born 2b:No of livestock born 3014 -4 200 1.371 7.381 2c:No of livestock sold 2c:No of livestock sold 2c:No of livestock sold 2c:No of livestock sold 2c:No of livestock sold 3014 -4 200 0.607 6.375 2d:Value of livestock sales 2d:Value of livestock sales 2d:Value of livestock sales 2d:Value of livestock sales 2d:Value of livestock sales 3014 -4 30000 84.338 799.846 2e:No of livestock bought 2e:No of livestock bought 2e:No of livestock bought 2e:No of livestock bought 2e:No of livestock bought 3014 -4 300 0.578 7.647 2f:No of livestock slaughtered 2f:No of livestock slaughtered 2f:No of livestock slaughtered 2f:No of livestock slaughtered 2f:No of livestock slaughtered 3014 -4 280 2.167 7.236 2g:No of livestock lost 2g:No of livestock lost 2g:No of livestock lost 2g:No of livestock lost 2g:No of livestock lost 3014 -4 50 1.944 4.492 2h:No of livestock loaned 2h:No of livestock loaned 2h:No of livestock loaned 2h:No of livestock loaned 2h:No of livestock loaned 3014 -4 50 0.0876 1.123 2i:No of livestock borrowed 2i:No of livestock borrowed 2i:No of livestock borrowed 2i:No of livestock borrowed 2i:No of livestock borrowed 3014 -4 -1 1 2 3 4 5 6 7 8 10 11 13 Cluster number Cluster number Cluster number Cluster number Cluster number 3014 2 360 274.039 61.609 Household identification No Household identification No Household identification No Household identification No Household identification No 1291 2024 360012 244301.361 66374.143 2 :Code 2 :Code 2 :Code 2 :Code 2 :Code 1291 1 2 3 4 5 6 7 8 9 10 3 :Amt paid in cash and credit 3 :Amt paid in cash and credit 3 :Amt paid in cash and credit 3 :Amt paid in cash and credit 3 :Amt paid in cash and credit 1291 -4 150000 957.74 7533.767 Cluster number Cluster number Cluster number Cluster number Cluster number 1291 2 360 244.283 66.373 Household identification No Household identification No Household identification No Household identification No Household identification No 30 2027 341036 140050.133 93959.728 2b:Person code 2b:Person code 2b:Person code 2b:Person code 2b:Person code 30 1 2 3 4 5 7 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 30 -1 1 3 4 5 9 10 11 3b:Code of employer 3b:Code of employer 3b:Code of employer 3b:Code of employer 3b:Code of employer 30 -1 3 5 7 8 9 3c:Sector code 3c:Sector code 3c:Sector code 3c:Sector code 3c:Sector code 30 -1 1 2 3 4 6 7 8 10 11 13 15 16 3d:Hours worked on average day 3d:Hours worked on average day 3d:Hours worked on average day 3d:Hours worked on average day 3d:Hours worked on average day 30 -1 20 6.483 4.114 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 30 -2 -1 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 30 -4 1900 336.233 408.747 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 30 600 28.8 114.038 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 30 5 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 30 -2 10000 333.267 1825.754 Cluster number Cluster number Cluster number Cluster number Cluster number 30 2 341 140.033 93.958 Household identification No Household identification No Household identification No Household identification No Household identification No 17046 1009 360016 192182.169 101394.423 2 :Code 2 :Code 2 :Code 2 :Code 2 :Code 17046 1 3000 5.551 29.143 3 :Amount 3 :Amount 3 :Amount 3 :Amount 3 :Amount 17046 -4 35000 304.164 969.276 Cluster number Cluster number Cluster number Cluster number Cluster number 17046 1 360 192.16 101.4 Household identification No Household identification No Household identification No Household identification No Household identification No 1409 8001 346016 250329.101 65984.592 1b:Crop code 1b:Crop code 1b:Crop code 1b:Crop code 1b:Crop code 1409 1 22 6.402 5.642 1c:Units - qty harvested 1c:Units - qty harvested 1c:Units - qty harvested 1c:Units - qty harvested 1c:Units - qty harvested 1409 -4 -1 1 2 3 4 5 6 7 8 9 10 11 12 1d:Amount harvested 1d:Amount harvested 1d:Amount harvested 1d:Amount harvested 1d:Amount harvested 1409 -4 3700 26.765 161.933 1e:Price per unit 1e:Price per unit 1e:Price per unit 1e:Price per unit 1e:Price per unit 1409 -4 6000 9.816 169.453 1e:Units sold 1e:Units sold 1e:Units sold 1e:Units sold 1e:Units sold 1409 -4 3700 7.973 128.853 1f:Payments to workers 1f:Payments to workers 1f:Payments to workers 1f:Payments to workers 1f:Payments to workers 1409 -4 75 0.35 3.519 1g:No of units paid - rent 1g:No of units paid - rent 1g:No of units paid - rent 1g:No of units paid - rent 1g:No of units paid - rent 1409 -4 -1 0.5 2 3 5 Cluster number Cluster number Cluster number Cluster number Cluster number 1409 8 346 250.313 65.983 Household identification No Household identification No Household identification No Household identification No Household identification No 43998 1001 360017 162626.79 99228.314 2 :Code 2 :Code 2 :Code 2 :Code 2 :Code 43998 1 2 3 4 5 6 7 8 9 10 11 12 13 3 :Amount 3 :Amount 3 :Amount 3 :Amount 3 :Amount 43998 -4 25000 67.949 190.799 Cluster number Cluster number Cluster number Cluster number Cluster number 43998 1 360 162.601 99.235 Household identification No Household identification No Household identification No Household identification No Household identification No 29988 1001 360017 161016.355 98510.024 1a:Code 1a:Code 1a:Code 1a:Code 1a:Code 29988 1 250 4.435 3.126 2 :Actual Mthly Exp 2 :Actual Mthly Exp 2 :Actual Mthly Exp 2 :Actual Mthly Exp 2 :Actual Mthly Exp 29983 5 -4 200000 237.035 1559.674 3 :Usual Mthly Exp 3 :Usual Mthly Exp 3 :Usual Mthly Exp 3 :Usual Mthly Exp 3 :Usual Mthly Exp 29982 6 -4 15000 197.264 343.201 4 :Annual Exp 4 :Annual Exp 4 :Annual Exp 4 :Annual Exp 4 :Annual Exp 29960 28 -4 200000 1021.985 3306.107 Cluster number Cluster number Cluster number Cluster number Cluster number 29988 1 360 160.99 98.517 Household identification No Household identification No Household identification No Household identification No Household identification No 35187 1001 360017 149837.028 97791.281 2 :Code 2 :Code 2 :Code 2 :Code 2 :Code 35187 1 2 3 4 5 6 7 8 9 10 11 3 :No of durables 3 :No of durables 3 :No of durables 3 :No of durables 3 :No of durables 35187 -4 -3 1 2 3 4 5 6 7 8 9 10 14 Cluster number Cluster number Cluster number Cluster number Cluster number 35187 1 360 149.811 97.798 Household identification No Household identification No Household identification No Household identification No Household identification No 2729 1008 360017 236835.767 87068.296 3 :Residence of recipient 3 :Residence of recipient 3 :Residence of recipient 3 :Residence of recipient 3 :Residence of recipient 2729 -4 20 6.07 5.807 4a:Relationship code to member 4a:Relationship code to member 4a:Relationship code to member 4a:Relationship code to member 4a:Relationship code to member 2729 -1 1 2 3 4 5 6 7 13 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 2729 -1 30 2.163 1.931 5a:No of times sent cash to abs 5a:No of times sent cash to abs 5a:No of times sent cash to abs 5a:No of times sent cash to abs 5a:No of times sent cash to abs 2729 -4 120 8.593 4.851 5b:Cash sent in past year 5b:Cash sent in past year 5b:Cash sent in past year 5b:Cash sent in past year 5b:Cash sent in past year 2729 -4 30000 2086.001 2428.925 5c:Cash sent in past month 5c:Cash sent in past month 5c:Cash sent in past month 5c:Cash sent in past month 5c:Cash sent in past month 2729 -4 5000 218.835 291.65 6a:No of times sent in kind 6a:No of times sent in kind 6a:No of times sent in kind 6a:No of times sent in kind 6a:No of times sent in kind 2729 -4 2400 3.596 47.42 6b:Value in kind sent in past y 6b:Value in kind sent in past y 6b:Value in kind sent in past y 6b:Value in kind sent in past y 6b:Value in kind sent in past y 2709 20 -4 24000 265.908 783.612 6c:Value in kind sent in past m 6c:Value in kind sent in past m 6c:Value in kind sent in past m 6c:Value in kind sent in past m 6c:Value in kind sent in past m 2705 24 -4 3000 28.61 91.176 Cluster number Cluster number Cluster number Cluster number Cluster number 2729 1 360 236.813 87.073 Household identification No Household identification No Household identification No Household identification No Household identification No 1771 1001 360005 155285.207 85302.759 2 :Residence of absent member 2 :Residence of absent member 2 :Residence of absent member 2 :Residence of absent member 2 :Residence of absent member 1771 -4 20 11.766 6.426 4a:Relationship code 4a:Relationship code 4a:Relationship code 4a:Relationship code 4a:Relationship code 1771 -3 -1 1 2 3 4 5 6 7 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 4c:Person code of relation 1771 -1 1 2 3 4 5 6 7 10 11 12 5a:No of times 5a:No of times 5a:No of times 5a:No of times 5a:No of times 1771 -4 52 8.623 4.374 5b:Cash in the past year 5b:Cash in the past year 5b:Cash in the past year 5b:Cash in the past year 5b:Cash in the past year 1771 -4 60000 1822.112 2836.623 5c:Cash in past month 5c:Cash in past month 5c:Cash in past month 5c:Cash in past month 5c:Cash in past month 1771 -4 5000 174.828 236.047 6a:No of times in past year - k 6a:No of times in past year - k 6a:No of times in past year - k 6a:No of times in past year - k 6a:No of times in past year - k 1771 -4 267 2.456 15.618 6b:Value in kind in past year 6b:Value in kind in past year 6b:Value in kind in past year 6b:Value in kind in past year 6b:Value in kind in past year 1771 -4 35000 219.727 1034.157 6c:Value in kind in past month 6c:Value in kind in past month 6c:Value in kind in past month 6c:Value in kind in past month 6c:Value in kind in past month 1771 -4 2000 22.283 91.402 Cluster number Cluster number Cluster number Cluster number Cluster number 1771 1 360 155.26 85.31 Household identification No Household identification No Household identification No Household identification No Household identification No 937 1008 359013 163300.348 100721.616 2b:Person code 2b:Person code 2b:Person code 2b:Person code 2b:Person code 937 1 2 3 4 5 6 7 8 9 11 12 17 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 3a:Code - Occupation 937 -3 1 2 3 4 5 6 7 8 9 10 11 3b:Code of employer 3b:Code of employer 3b:Code of employer 3b:Code of employer 3b:Code of employer 937 -3 1 2 3 4 5 6 7 8 9 3c:Sector code 3c:Sector code 3c:Sector code 3c:Sector code 3c:Sector code 937 -3 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 3d:Hours worked average day 3d:Hours worked average day 3d:Hours worked average day 3d:Hours worked average day 3d:Hours worked average day 937 -4 17 7.216 2.946 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 3e:Overtime hours past week 937 -4 36 0.289 2.041 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 4c:Cash pay last month 937 -4 16000 414.542 826.481 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 4e:Value of food subsidy 937 -4 400 10.691 43.467 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 4e:Value of other benefits 937 -4 2905 6.984 102.394 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 4f:Value of equipment 937 -4 100000 224.014 3468.132 Cluster number Cluster number Cluster number Cluster number Cluster number 937 1 359 163.277 100.725 Household identification No Household identification No Household identification No Household identification No Household identification No 3383 1001 360006 179363.868 100031.1 3 :Person code 3 :Person code 3 :Person code 3 :Person code 3 :Person code 3383 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 19 3a:Still sick? 3a:Still sick? 3a:Still sick? 3a:Still sick? 3a:Still sick? 3383 1 2 4 :1st sick code 4 :1st sick code 4 :1st sick code 4 :1st sick code 4 :1st sick code 3383 -4 23 13.354 7.007 5 :2nd sick code 5 :2nd sick code 5 :2nd sick code 5 :2nd sick code 5 :2nd sick code 3383 -1 23 2.371 6.094 6 :No of days sick 6 :No of days sick 6 :No of days sick 6 :No of days sick 6 :No of days sick 3383 -4 30 7.718 5.046 7 :Days out of work 7 :Days out of work 7 :Days out of work 7 :Days out of work 7 :Days out of work 3383 -4 30 4.849 5.131 8 :Consultation 8 :Consultation 8 :Consultation 8 :Consultation 8 :Consultation 3383 -4 -1 1 2 3 4 5 6 7 8 9 10 11 9a:Time taken to get there 9a:Time taken to get there 9a:Time taken to get there 9a:Time taken to get there 9a:Time taken to get there 3383 -4 530 30.837 45.582 9b:Time taken to get treat 9b:Time taken to get treat 9b:Time taken to get treat 9b:Time taken to get treat 9b:Time taken to get treat 3383 -4 720 32.899 55.605 9c:Amount charged 9c:Amount charged 9c:Amount charged 9c:Amount charged 9c:Amount charged 3383 -4 55000 90.495 1357.539 9d:Cost of medicine 9d:Cost of medicine 9d:Cost of medicine 9d:Cost of medicine 9d:Cost of medicine 3383 -4 2000 12.141 74.622 10 :Reason for not consulting 10 :Reason for not consulting 10 :Reason for not consulting 10 :Reason for not consulting 10 :Reason for not consulting 3383 -2 -1 1 2 3 4 5 6 7 10 Cluster number Cluster number Cluster number Cluster number Cluster number 3383 1 360 179.339 100.039 Household identification No Household identification No Household identification No Household identification No Household identification No 18010 1001 360017 193847.798 102231.67 1b:Expenditure code 1b:Expenditure code 1b:Expenditure code 1b:Expenditure code 1b:Expenditure code 18010 1 2 3 4 5 6 7 8 9 10 11 12 1c:Amount spent 1c:Amount spent 1c:Amount spent 1c:Amount spent 1c:Amount spent 18010 -4 4500 54.758 111.266 Cluster number Cluster number Cluster number Cluster number Cluster number 18010 1 360 193.825 102.236 Household identification No Household identification No Household identification No Household identification No Household identification No 484 1010 353015 130317.165 77725.763 2a:List of properties 2a:List of properties 2a:List of properties 2a:List of properties 2a:List of properties 484 -1 01 1 BLACK SHACK 1 EXTRA ROOM 1 ROOM 1 SHACK 100 HECT STILBAAI 12 BACKROOMS 2 BACK ROOMS 2 BACK SHACKS 2 HOUSES 2 ROOMED HOUSE 2 ROOMS AND GARAGE 2 SHACKS 2ND HOUSE 3 FLATS 3 HOUSES 3 OUTBUILDING 3 ROOM 3 ROOM HOUSE 3 ROOM OUT BUILDING 3 SHACKS 3X CLUSTER HOME 4 HOUSES 4 HUTS, 1 HOUSE 4 OUTBUILDING 4 OUTBUILDINGS 4 ROOM HOUSE 5 ROOM HOUSE 5 ROOMS 6 ROOMS RENTED 7 SHACKS 8 SHACKS ANOTHER HOUSE APARTMENT AT MAGALIESPARK BEACH COTTAGE BESIGHEID BLOCK OF FLATS BUILDING CONSTRUCT BUILDING SITE BUS & BUILDING BUSINESS BUSINESS HOUSE BUSINESS PROP BUSINESS PROPERTY BUTCHER CABANA BEACH CAFE COLONSO INDUSTRIAL COTTAGE CRYSTAL SPRINGS DEEL VAN HUIS DURBAN EMPANGENI ERF ERF GEKOOP ERF-BOSVELD EZAKHANI FALCON GLEN FARM FARMING LAND FLAT FLAT GABLE FOUR SHACKS GARAGE GENERAL DEALER GETHLONE LODGE GRANNY FLAT GROND HAZELWOOD HOLIDAY FLAT HOLIDAY HOUSE HOME HOMESTEAD HOUSE HOUSE (ALBERTON) HOUSE MESINA HOUSES HOUSE[4] HUIS HUT HUTS/ROUNDAVAL INWONER INWONERS KAIA KAMER KLEINMOND LAND LODGER LOSEERDER MABULA MAKULA TIMES MARGATE TYDDEEL MEENTHUIS SKEMA MOTORHAWE OESTESEE OFFICE BLOCK ONE EXTRA H ONE HOME OUT BUILDING OUTBUILDING OUTSIDE ROOM PANDOK PARODYSSTRAND PIET RETIEF PLAAS PLETT HOMES PLOT PLOT OF LAND PLOT ON VAAL PROPERTY PROPERTY IN TRANSKEI PROPERTY SHARE PROTEARIF QUARTER OF HOUSE RENT RENTS ONE ROOM RONDAVEL ROOM ROOM (TENNANT) ROOM [TENNANT] ROOMS SECOND HOME SECOND HOUSE SHACK SHACK 1 SHACK 2 SHACK 3 SHACKS SHARE HOLD SHOP SITE SITE-LAND SMALL HOLDING STAND STAND - PLOT STAND NO 2 STAND-75 STOCK STRANDHUIS T/H & GABLE TENANT TENNANT TENNANTS TIME SHARE TIME-SHARE TIMESHARE TIMESHARE UMHLANGA TOWNHOUSE TRADITIONAL HOUSE TRADITIONAL HOUSES TRADITIONAL HUT TROPICANA TWEEDE PLOT TWO ROOMS TWO SHACKS TYDDEEL UMHLANGA SANDS VACANT LAND VACANT PLOT VAKANSIEHUIS WENDY HOUSE WOONSTEL XANADU house 2b:Value of property 2b:Value of property 2b:Value of property 2b:Value of property 2b:Value of property 484 -4 3000000 65012.543 222913.912 2c:Rent recieved? 2c:Rent recieved? 2c:Rent recieved? 2c:Rent recieved? 2c:Rent recieved? 484 -1 1 2 2d:Rent (last 12 months) 2d:Rent (last 12 months) 2d:Rent (last 12 months) 2d:Rent (last 12 months) 2d:Rent (last 12 months) 484 -4 132000 3643.128 14835.197 Cluster number Cluster number Cluster number Cluster number Cluster number 484 1 353 130.285 77.733 Household identification No Household identification No Household identification No Household identification No Household identification No 35749 1001 360017 165640.963 98516.668 2 :Code 2 :Code 2 :Code 2 :Code 2 :Code 35749 1 2 3 4 5 6 7 8 9 10 11 12 13 3 :Amount spent 3 :Amount spent 3 :Amount spent 3 :Amount spent 3 :Amount spent 35749 -14 120000 730.595 2459.121 Cluster number Cluster number Cluster number Cluster number Cluster number 35749 1 360 165.616 98.524 Household identification No Household identification No Household identification No Household identification No Household identification No 5429 1001 360015 164857.374 104306.021 2a:Code for lender 2a:Code for lender 2a:Code for lender 2a:Code for lender 2a:Code for lender 5429 1 2 3 4 5 6 7 8 9 10 11 12 2b:Amount owed 2b:Amount owed 2b:Amount owed 2b:Amount owed 2b:Amount owed 5429 -4 900000 4143.407 21787.748 2c:Amount repaid 2c:Amount repaid 2c:Amount repaid 2c:Amount repaid 2c:Amount repaid 5429 -4 75000 238.974 1155.681 Cluster number Cluster number Cluster number Cluster number Cluster number 5429 1 360 164.83 104.314 Household identification No Household identification No Household identification No Household identification No Household identification No 1135 1024 360005 183293.404 97160.19 2 :Activity code 2 :Activity code 2 :Activity code 2 :Activity code 2 :Activity code 1135 -3 22 7.54 6.187 3 :Code:member 1 3 :Code:member 1 3 :Code:member 1 3 :Code:member 1 3 :Code:member 1 1135 1 2 3 4 5 6 7 8 9 10 12 13 4 :Code member 2 4 :Code member 2 4 :Code member 2 4 :Code member 2 4 :Code member 2 1135 -2 -1 1 2 3 4 5 6 7 8 5 :Code member 3 5 :Code member 3 5 :Code member 3 5 :Code member 3 5 :Code member 3 1135 -2 -1 1 2 3 4 5 6 7 8 9 10 6 :Gross time-activity 1 6 :Gross time-activity 1 6 :Gross time-activity 1 6 :Gross time-activity 1 6 :Gross time-activity 1 1135 -4 840 148.938 132.497 7 :Gross sales-activity 1 7 :Gross sales-activity 1 7 :Gross sales-activity 1 7 :Gross sales-activity 1 7 :Gross sales-activity 1 1135 -4 1500000 2906.549 44902.253 8 :Ave monthly profit - activit 8 :Ave monthly profit - activit 8 :Ave monthly profit - activit 8 :Ave monthly profit - activit 8 :Ave monthly profit - activit 1135 -4 100000 873.357 3968.864 8 :Total expenses - activity 1 8 :Total expenses - activity 1 8 :Total expenses - activity 1 8 :Total expenses - activity 1 8 :Total expenses - activity 1 1135 -4 1000000 1770.769 29997.933 9 :Value of equipment/stocks 1 9 :Value of equipment/stocks 1 9 :Value of equipment/stocks 1 9 :Value of equipment/stocks 1 9 :Value of equipment/stocks 1 1135 -4 3000000 11814.964 112579.843 10 :No of others inv excl hh me 10 :No of others inv excl hh me 10 :No of others inv excl hh me 10 :No of others inv excl hh me 10 :No of others inv excl hh me 1135 -4 160 0.792 5.576 Cluster number Cluster number Cluster number Cluster number Cluster number 1135 1 360 183.27 97.169 Household identification No Household identification No Household identification No Household identification No Household identification No 16782 3.69e-40 360017 204982.065 100987.178 2 :Person code 2 :Person code 2 :Person code 2 :Person code 2 :Person code 16782 3.69e-40 30 5.132 2.582 3 :Enrolled(formal Education) ? 3 :Enrolled(formal Education) ? 3 :Enrolled(formal Education) ? 3 :Enrolled(formal Education) ? 3 :Enrolled(formal Education) ? 16782 -1 3.68782519453291e-40 1 2 4 :Reason not in school 4 :Reason not in school 4 :Reason not in school 4 :Reason not in school 4 :Reason not in school 16782 -4 -2 -1 3.68782519453291e-40 1 2 3 4 5 6 7 8 9 10 11 5 :Last year enrolled 5 :Last year enrolled 5 :Last year enrolled 5 :Last year enrolled 5 :Last year enrolled 16782 -4 1993 333.215 745.149 6 :Time taken(to and fro) 6 :Time taken(to and fro) 6 :Time taken(to and fro) 6 :Time taken(to and fro) 6 :Time taken(to and fro) 16782 -4 480 26.103 32.061 7 :Transport costs 7 :Transport costs 7 :Transport costs 7 :Transport costs 7 :Transport costs 16773 9 -4 400 1.376 8.252 8a:1st transport 8a:1st transport 8a:1st transport 8a:1st transport 8a:1st transport 16782 -4 -2 -1 3.68782519453291e-40 1 2 3 4 5 6 7 8 8b:2nd transport 8b:2nd transport 8b:2nd transport 8b:2nd transport 8b:2nd transport 16782 -2 -1 3.68782519453291e-40 1 2 3 4 5 6 7 8c:3rd transport 8c:3rd transport 8c:3rd transport 8c:3rd transport 8c:3rd transport 16782 -2 -1 3.68782519453291e-40 3 5 5 :Age in years 5 :Age in years 5 :Age in years 5 :Age in years 5 :Age in years 16782 3.69e-40 24 14.736 5.127 Cluster number Cluster number Cluster number Cluster number Cluster number 16782 360 204.96 100.992 Household identification No Household identification No Household identification No Household identification No Household identification No 10654 1001 360017 189572.867 103273.027 2 :Person code 2 :Person code 2 :Person code 2 :Person code 2 :Person code 10654 1 29 3.15 2.011 3 :No of pregnancies 3 :No of pregnancies 3 :No of pregnancies 3 :No of pregnancies 3 :No of pregnancies 10654 -3 -2 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 4 :No of births 4 :No of births 4 :No of births 4 :No of births 4 :No of births 10654 -3 -2 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 5 :No stillborn 5 :No stillborn 5 :No stillborn 5 :No stillborn 5 :No stillborn 10654 -3 -2 -1 1 2 3 4 5 6 7 6 :No alive now 6 :No alive now 6 :No alive now 6 :No alive now 6 :No alive now 10654 -3 -2 -1 1 2 3 4 5 6 7 8 9 10 11 7 :No died before 1yr 7 :No died before 1yr 7 :No died before 1yr 7 :No died before 1yr 7 :No died before 1yr 10654 -3 -2 -1 1 2 3 4 5 6 8 9 7 :No died between age 1 + 5 7 :No died between age 1 + 5 7 :No died between age 1 + 5 7 :No died between age 1 + 5 7 :No died between age 1 + 5 10654 -4 -3 -2 -1 1 2 3 4 5 6 7 8 :Pregnant now ? 8 :Pregnant now ? 8 :Pregnant now ? 8 :Pregnant now ? 8 :Pregnant now ? 10654 -3 -2 -1 1 2 9 :Breast feeding ? 9 :Breast feeding ? 9 :Breast feeding ? 9 :Breast feeding ? 9 :Breast feeding ? 10654 -3 -2 -1 1 2 10 :Age of youngest child 10 :Age of youngest child 10 :Age of youngest child 10 :Age of youngest child 10 :Age of youngest child 10653 1 -4 51 3.927 6.59 Cluster number Cluster number Cluster number Cluster number Cluster number 10654 1 360 189.551 103.278 Household identification No Household identification No Household identification No Household identification No Household identification No 8310 1001 360016 145157.638 94608.439 2 :Person code 2 :Person code 2 :Person code 2 :Person code 2 :Person code 8310 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 3 :Time taken to get to work 3 :Time taken to get to work 3 :Time taken to get to work 3 :Time taken to get to work 3 :Time taken to get to work 8305 5 -4 220 35.075 30.998 4 :Transport cost 4 :Transport cost 4 :Transport cost 4 :Transport cost 4 :Transport cost 8303 7 -4 80 3.753 5.82 5 :First mode of transport 5 :First mode of transport 5 :First mode of transport 5 :First mode of transport 5 :First mode of transport 8308 2 -4 -1 1 2 3 4 5 6 7 Sysmiss 6 :2nd mode of transport 6 :2nd mode of transport 6 :2nd mode of transport 6 :2nd mode of transport 6 :2nd mode of transport 8303 7 -2 -1 1 2 3 5 6 7 Sysmiss 7 :3rd Mode of transport 7 :3rd Mode of transport 7 :3rd Mode of transport 7 :3rd Mode of transport 7 :3rd Mode of transport 8303 7 -2 -1 1 3 5 6 Sysmiss Cluster number Cluster number Cluster number Cluster number Cluster number 8310 1 360 145.133 94.614 cluster number cluster number cluster number cluster number cluster number 2673 3.69e-40 360 179.684 105.43 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 2673 3.68782519453291e-40 1 2 3 4 5 6 7 8 4 : primary school type- one 4 : primary school type- one 4 : primary school type- one 4 : primary school type- one 4 : primary school type- one 2673 -4 1800 37.655 169.889 4 : primary school type- two 4 : primary school type- two 4 : primary school type- two 4 : primary school type- two 4 : primary school type- two 2673 -2 1478 8.865 87.078 4 : primary school type- three 4 : primary school type- three 4 : primary school type- three 4 : primary school type- three 4 : primary school type- three 2673 -2 1500 4.94 77.588 cluster number cluster number cluster number cluster number cluster number 4009 3.69e-40 360 179.707 105.411 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 4 : Service\facility code 4009 3.68782519453291e-40 1 2 3 4 5 6 7 8 9 10 11 12 4 : secondary school type- one 4 : secondary school type- one 4 : secondary school type- one 4 : secondary school type- one 4 : secondary school type- one 4009 -4 3000 26.743 165.675 4 : secondary school type- two 4 : secondary school type- two 4 : secondary school type- two 4 : secondary school type- two 4 : secondary school type- two 4009 -4 1953 4.867 81.372 4 : secondary school type- thre 4 : secondary school type- thre 4 : secondary school type- thre 4 : secondary school type- thre 4 : secondary school type- thre 4009 -20 1583 1.214 52.973 cluster number cluster number cluster number cluster number cluster number 2338 1 360 179.751 105.395 1 : personnel code 1 : personnel code 1 : personnel code 1 : personnel code 1 : personnel code 2338 1 2 3 4 5 6 7 1 : respondent code 1 : respondent code 1 : respondent code 1 : respondent code 1 : respondent code 2338 -1 1 2 2 : distance of personnel 2 : distance of personnel 2 : distance of personnel 2 : distance of personnel 2 : distance of personnel 2338 -2 275 7.744 19.861 cluster number cluster number cluster number cluster number cluster number 2005 3.69e-40 360 179.662 105.449 3 : facility code 3 : facility code 3 : facility code 3 : facility code 3 : facility code 2005 3.68782519453291e-40 1 2 3 4 5 6 3 : hospital 3 : hospital 3 : hospital 3 : hospital 3 : hospital 2005 -1 3.68782519453291e-40 1 2 4 : number of hospitals 4 : number of hospitals 4 : number of hospitals 4 : number of hospitals 4 : number of hospitals 2005 -2 -1 3.68782519453291e-40 1 2 3 4 5 5 : distance of hospital 5 : distance of hospital 5 : distance of hospital 5 : distance of hospital 5 : distance of hospital 2005 -2 275 11.712 21.925 Household identification No Household identification No Household identification No Household identification No Household identification No 3344 1002 360017 193307.497 106597.718 1a:Code - Source of income - 1a:Code - Source of income - 1a:Code - Source of income - 1a:Code - Source of income - 1a:Code - Source of income - 3344 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1c:Receive income? 1c:Receive income? 1c:Receive income? 1c:Receive income? 1c:Receive income? 3344 -1 1 7 2b:Person code 2b:Person code 2b:Person code 2b:Person code 2b:Person code 3343 1 1 2 3 4 5 6 7 8 9 10 11 12 15 16 17 Sysmiss 2c:Amount received 2c:Amount received 2c:Amount received 2c:Amount received 2c:Amount received 3344 -4 52416 559.898 1520.997 Cluster number Cluster number Cluster number Cluster number Cluster number 3344 1 360 193.283 106.604 2673 3.69e-40 360 179.684 105.43 6 : Code of facility used 6 : Code of facility used 6 : Code of facility used 6 : Code of facility used 6 : Code of facility used 2673 3.68782519453291e-40 1 2 3 4 5 6 7 8 6.1: Number of recreational fac 6.1: Number of recreational fac 6.1: Number of recreational fac 6.1: Number of recreational fac 6.1: Number of recreational fac 2673 -1 3.68782519453291e-40 1 2 3 4 5 6 7 8 9 15 6.2: Acces to the facility 6.2: Acces to the facility 6.2: Acces to the facility 6.2: Acces to the facility 6.2: Acces to the facility 2612 61 -2 -1 3.68782519453291e-40 1 2 Sysmiss 6.3: Distance of the facility 6.3: Distance of the facility 6.3: Distance of the facility 6.3: Distance of the facility 6.3: Distance of the facility 2673 -2 503 23.771 43.21 Household identification No Household identification No Household identification No Household identification No Household identification No 5993 1005 360017 209556.989 99273.609 2 :Person code 2 :Person code 2 :Person code 2 :Person code 2 :Person code 5993 1 31 7.269 3.532 New Measurement data New Measurement data New Measurement data New Measurement data New Measurement data 5991 2 1 2 Sysmiss 3 :Gender 3 :Gender 3 :Gender 3 :Gender 3 :Gender 5993 -1 F M 4 :Date of Birth 4 :Date of Birth 4 :Date of Birth 4 :Date of Birth 4 :Date of Birth 5976 . 01/01/01 01/01/86 01/01/87 01/01/88 01/01/89 01/01/90 01/01/91 01/01/92 01/01/93 01/02/90 01/02/91 01/07/91 01/14/89 01/14/93 01/18/88 01/19/91 01/20/87 01/23/88 01/24/90 01/26/91 01/26/93 01/30/88 01012001 02/01/87 02/01/88 02/01/89 02/01/90 02/01/91 02/01/92 02/01/93 02/02/89 02/05/89 02/08/93 02/12/89 02/16/89 02/18/91 02/22/91 02/22/93 02/26/89 02/26/93 02012001 03/01/86 03/01/87 03/01/88 03/01/89 03/01/90 03/01/91 03/01/92 03/01/93 03/03/88 03/10/89 03/15/90 03/17/91 03/20/93 03/23/90 03/28/91 03/31/91 04/01/87 04/01/88 04/01/89 04/01/90 04/01/91 04/01/92 04/01/93 04/04/93 04/11/90 04/12/90 04/17/89 04/19/88 04/20/89 04/20/91 04/24/92 05/01/87 05/01/88 05/01/89 05/01/90 05/01/91 05/01/92 05/01/93 05/03/89 05/07/88 05/10/88 05/12/89 05/14/93 05/20/90 05/25/91 05/30/92 06/01/87 06/01/88 06/01/89 06/01/90 06/01/91 06/01/92 06/01/93 06/03/93 06/06/88 06/06/92 06/08/92 06/08/93 06/13/89 06/17/91 06/20/90 06/21/93 06/23/92 06/25/91 06012001 07/01/87 07/01/88 07/01/89 07/01/90 07/01/91 07/01/92 07/01/93 07/04/91 07/05/93 07/06/92 07/07/91 07/13/91 07/15/88 07/18/92 07/21/92 07/22/93 07/26/88 07/26/90 07/26/93 08/01/87 08/01/88 08/01/89 08/01/90 08/01/91 08/01/92 08/01/93 08/03/91 08/06/92 08/08/90 08/09/93 08/12/91 08/13/87 08/14/90 08/15/91 08/25/92 08/26/91 08/27/90 08012001 09/01/86 09/01/87 09/01/88 09/01/89 09/01/90 09/01/91 09/01/92 09/01/93 09/03/88 09/03/91 09/10/87 09/11/93 09/15/90 09/17/90 09/19/87 09/23/90 09/23/93 09/24/88 09/25/90 09/28/88 10/01/86 10/01/87 10/01/88 10/01/89 10/01/90 10/01/91 10/01/92 10/01/93 10/03/92 10/07/90 10/15/92 10/16/92 10/19/91 10/22/89 10/22/92 10/25/88 11/01/86 11/01/87 11/01/88 11/01/89 11/01/90 11/01/91 11/01/92 11/01/93 11/17/89 11/21/91 11/23/88 11012001 12/01/86 12/01/87 12/01/88 12/01/89 12/01/90 12/01/91 12/01/92 12/04/90 12/11/87 12/13/91 12/16/87 12/17/87 12/22/91 12/22/92 12/25/87 12/29/92 5 :Source of birth info 5 :Source of birth info 5 :Source of birth info 5 :Source of birth info 5 :Source of birth info 5993 -4 -3 -1 1 2 3 4 5 6 7 8 6 :Clinic Card 6 :Clinic Card 6 :Clinic Card 6 :Clinic Card 6 :Clinic Card 5993 -4 -3 -1 1 2 7a:Vaccinated(Measles) 7a:Vaccinated(Measles) 7a:Vaccinated(Measles) 7a:Vaccinated(Measles) 7a:Vaccinated(Measles) 5993 -4 -3 -2 -1 1 2 3 4 5 6 7b:Vaccinated(DPT) 7b:Vaccinated(DPT) 7b:Vaccinated(DPT) 7b:Vaccinated(DPT) 7b:Vaccinated(DPT) 5993 -4 -3 -2 -1 1 2 3 4 5 6 7 7c:Vaccinated(Polio) 7c:Vaccinated(Polio) 7c:Vaccinated(Polio) 7c:Vaccinated(Polio) 7c:Vaccinated(Polio) 5993 -4 -3 -2 -1 1 2 3 4 5 6 7 8 7d:Vaccinated(TB) 7d:Vaccinated(TB) 7d:Vaccinated(TB) 7d:Vaccinated(TB) 7d:Vaccinated(TB) 5993 -4 -3 -2 -1 1 2 3 4 5 6 8 :Child Breast Feeding 8 :Child Breast Feeding 8 :Child Breast Feeding 8 :Child Breast Feeding 8 :Child Breast Feeding 5993 -4 -3 -1 1 2 9 :Age Breast Feeding Stopped 9 :Age Breast Feeding Stopped 9 :Age Breast Feeding Stopped 9 :Age Breast Feeding Stopped 9 :Age Breast Feeding Stopped 5993 -4 99 18.163 28.472 10 :No. x Child Fed per Day 10 :No. x Child Fed per Day 10 :No. x Child Fed per Day 10 :No. x Child Fed per Day 10 :No. x Child Fed per Day 5993 -4 -3 -1 1 2 3 4 5 6 7 8 9 10 12 13 11 :Weight 11 :Weight 11 :Weight 11 :Weight 11 :Weight 5993 -4 96.1 10.415 6.684 12 :Height 12 :Height 12 :Height 12 :Height 12 :Height 5993 -4 192 72.172 37.436 13 :Reason Not Measured 13 :Reason Not Measured 13 :Reason Not Measured 13 :Reason Not Measured 13 :Reason Not Measured 5993 -3 -2 -1 1 2 3 4 14 :Age start solids 14 :Age start solids 14 :Age start solids 14 :Age start solids 14 :Age start solids 5992 1 -4 99 0.366 2.931 Year of birth Year of birth Year of birth Year of birth Year of birth 5779 214 86 87 88 89 90 91 92 93 Sysmiss Month of birth Month of birth Month of birth Month of birth Month of birth 5779 214 1 2 3 4 5 6 7 8 9 10 11 12 Sysmiss Year of remeasuring Year of remeasuring Year of remeasuring Year of remeasuring Year of remeasuring 106 5887 93 94 Sysmiss Month of remeasuring Month of remeasuring Month of remeasuring Month of remeasuring Month of remeasuring 106 5887 2 3 11 12 Sysmiss Age in Months Age in Months Age in Months Age in Months Age in Months 5779 214 91 35.188 20.801 Height for Age Z score Height for Age Z score Height for Age Z score Height for Age Z score Height for Age Z score 4851 1142 -9.98 9.99 -1.063 2.201 Weight for Age Z score Weight for Age Z score Weight for Age Z score Weight for Age Z score Weight for Age Z score 4853 1140 -7.01 9.99 -0.611 1.807 Weight for Height Z score Weight for Height Z score Weight for Height Z score Weight for Height Z score Weight for Height Z score 4905 1088 -9.89 9.99 0.242 2.289 Cluster number Cluster number Cluster number Cluster number Cluster number 5993 1 360 209.535 99.277 cluster number cluster number cluster number cluster number cluster number 2339 3.69e-40 360 179.675 105.438 5 : Service\facility code 5 : Service\facility code 5 : Service\facility code 5 : Service\facility code 5 : Service\facility code 2339 3.68782519453291e-40 1 2 3 4 5 6 7 5a: number of facilities 5a: number of facilities 5a: number of facilities 5a: number of facilities 5a: number of facilities 2339 -1 100 0.528 2.623 5b: access to facility 5b: access to facility 5b: access to facility 5b: access to facility 5b: access to facility 2339 -2 -1 -0.199999988079071 3.68782519453291e-40 1 2 5c: distance of facility 5c: distance of facility 5c: distance of facility 5c: distance of facility 5c: distance of facility 2339 -4 700 12.962 33.435 Household identification No Household identification No Household identification No Household identification No Household identification No 7513 1001 360016 143643.296 93503.131 2b:Person code 2b:Person code 2b:Person code 2b:Person code 2b:Person code 7513 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 3a:Code:occupation 3a:Code:occupation 3a:Code:occupation 3a:Code:occupation 3a:Code:occupation 7507 6 -4 -3 -1 1 2 3 4 5 6 7 8 9 10 11 Sysmiss 3b:Code:employer 3b:Code:employer 3b:Code:employer 3b:Code:employer 3b:Code:employer 7507 6 -4 -3 -1 1 2 3 4 5 6 7 8 9 Sysmiss 3c:Code:economic sector 3c:Code:economic sector 3c:Code:economic sector 3c:Code:economic sector 3c:Code:economic sector 7507 6 -4 -3 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 3d:Hours per day 3d:Hours per day 3d:Hours per day 3d:Hours per day 3d:Hours per day 7507 6 -4 48 8.541 2.095 3e:Overtime in past week 3e:Overtime in past week 3e:Overtime in past week 3e:Overtime in past week 3e:Overtime in past week 7507 6 -4 96 0.802 3.895 4c:Pay period type 4c:Pay period type 4c:Pay period type 4c:Pay period type 4c:Pay period type 7470 43 -4 -3 -2 -1 1 2 3 Sysmiss 4d:Take home pay 4d:Take home pay 4d:Take home pay 4d:Take home pay 4d:Take home pay 7487 26 -4 25000 934.9 1338.307 4e:Deductions (not taxes) 4e:Deductions (not taxes) 4e:Deductions (not taxes) 4e:Deductions (not taxes) 4e:Deductions (not taxes) 7487 26 -4 10000 232.44 514.555 4f:Gross pay 4f:Gross pay 4f:Gross pay 4f:Gross pay 4f:Gross pay 7487 26 -4 180000 1350.833 3315.544 4g:Bonus in the last year 4g:Bonus in the last year 4g:Bonus in the last year 4g:Bonus in the last year 4g:Bonus in the last year 7487 26 -4 80000 865.322 2259.846 4h:Profit share in past year 4h:Profit share in past year 4h:Profit share in past year 4h:Profit share in past year 4h:Profit share in past year 7487 26 -4 50000 65.839 1261.47 4i:Contribute to pension ? 4i:Contribute to pension ? 4i:Contribute to pension ? 4i:Contribute to pension ? 4i:Contribute to pension ? 7470 43 -4 -3 -2 -1 1 2 Sysmiss 5c:Value of transport 5c:Value of transport 5c:Value of transport 5c:Value of transport 5c:Value of transport 7459 54 -4 5000 51.675 288.158 5d:Value of food subsidy 5d:Value of food subsidy 5d:Value of food subsidy 5d:Value of food subsidy 5d:Value of food subsidy 7459 54 -4 3000 15.956 63.661 5e:Value of house subsidy 5e:Value of house subsidy 5e:Value of house subsidy 5e:Value of house subsidy 5e:Value of house subsidy 7459 54 -43 4000 50.442 187.997 5f:Paid-up member of a trade un 5f:Paid-up member of a trade un 5f:Paid-up member of a trade un 5f:Paid-up member of a trade un 5f:Paid-up member of a trade un 7452 61 -4 -3 -2 -1 1 2 Sysmiss 5g:Value of equipment 5g:Value of equipment 5g:Value of equipment 5g:Value of equipment 5g:Value of equipment 7459 54 -4 11000000 5260.845 190692.949 Cluster number Cluster number Cluster number Cluster number Cluster number 7513 1 360 143.618 93.509 Household identification No Household identification No Household identification No Household identification No Household identification No 24296 1001 360017 186196.253 103273.614 2b:Person code 2b:Person code 2b:Person code 2b:Person code 2b:Person code 24296 29 2.679 1.988 3 :Currently Employed ? 3 :Currently Employed ? 3 :Currently Employed ? 3 :Currently Employed ? 3 :Currently Employed ? 24296 -2 -1 1 2 4 :Job desription 4 :Job desription 4 :Job desription 4 :Job desription 4 :Job desription 24294 2 -2 -1 1 2 3 4 5 Sysmiss 5 :Hours worked last week 5 :Hours worked last week 5 :Hours worked last week 5 :Hours worked last week 5 :Hours worked last week 24295 1 -4 168 16.185 22.845 6 :Liked more work last week 6 :Liked more work last week 6 :Liked more work last week 6 :Liked more work last week 6 :Liked more work last week 24294 2 -1 1 2 Sysmiss 7 :Look for work? 7 :Look for work? 7 :Look for work? 7 :Look for work? 7 :Look for work? 24296 -1 42 1.906 0.445 8 :Reason not look for work 8 :Reason not look for work 8 :Reason not look for work 8 :Reason not look for work 8 :Reason not look for work 24296 -4 -2 -1 1 2 3 4 5 6 7 8 9 10 :Job seeking method 10 :Job seeking method 10 :Job seeking method 10 :Job seeking method 10 :Job seeking method 24295 1 -2 -1 1 2 3 4 5 Sysmiss 11 : Time spent(hrs) 11 : Time spent(hrs) 11 : Time spent(hrs) 11 : Time spent(hrs) 11 : Time spent(hrs) 24296 -4 90 -1.049 4.913 12 :Lowest weekly wage 12 :Lowest weekly wage 12 :Lowest weekly wage 12 :Lowest weekly wage 12 :Lowest weekly wage 24296 -4 600 1.336 16.869 13 :Lowest monthly wage 13 :Lowest monthly wage 13 :Lowest monthly wage 13 :Lowest monthly wage 13 :Lowest monthly wage 24296 -4 10000 58.565 304.487 14 :Paid job for 1 mth 14 :Paid job for 1 mth 14 :Paid job for 1 mth 14 :Paid job for 1 mth 14 :Paid job for 1 mth 24295 1 -2 -1 1 2 Sysmiss 15a: Code recent job 15a: Code recent job 15a: Code recent job 15a: Code recent job 15a: Code recent job 24295 1 -4 -2 -1 1 2 3 4 5 6 7 8 9 10 11 Sysmiss 15b:Current Employer 15b:Current Employer 15b:Current Employer 15b:Current Employer 15b:Current Employer 24295 1 -4 -2 -1 1 2 3 4 5 6 7 8 9 Sysmiss 15c:Sector 15c:Sector 15c:Sector 15c:Sector 15c:Sector 24295 1 -4 -2 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 24296 1 Cluster number Cluster number Cluster number Cluster number Cluster number 24296 1 360 186.174 103.279 Household identification No Household identification No Household identification No Household identification No Household identification No 43687 1001 360017 198851.334 101637.147 1 :Person code 1 :Person code 1 :Person code 1 :Person code 1 :Person code 43687 -1 42 4.078 3.056 1a: Circled member / Resident 1a: Circled member / Resident 1a: Circled member / Resident 1a: Circled member / Resident 1a: Circled member / Resident 43687 1 2 1b: Is person respondent 1b: Is person respondent 1b: Is person respondent 1b: Is person respondent 1b: Is person respondent 43687 -1 1 2 3 :Relationship to head 3 :Relationship to head 3 :Relationship to head 3 :Relationship to head 3 :Relationship to head 43687 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 4 :Gender code 4 :Gender code 4 :Gender code 4 :Gender code 4 :Gender code 43687 -1 F M 5 :Age in years 5 :Age in years 5 :Age in years 5 :Age in years 5 :Age in years 43687 -4 110 25.343 18.884 6 :Education code 6 :Education code 6 :Education code 6 :Education code 6 :Education code 43687 -4 19 4.352 4.241 7 :Spouse present ? 7 :Spouse present ? 7 :Spouse present ? 7 :Spouse present ? 7 :Spouse present ? 43687 -4 99 12.017 32.77 8 :Father present ? 8 :Father present ? 8 :Father present ? 8 :Father present ? 8 :Father present ? 43687 -4 99 60.905 44.041 9 :Mother present ? 9 :Mother present ? 9 :Mother present ? 9 :Mother present ? 9 :Mother present ? 43687 -4 99 43.837 45.817 10 :Absence in last 12 mths 10 :Absence in last 12 mths 10 :Absence in last 12 mths 10 :Absence in last 12 mths 10 :Absence in last 12 mths 43687 -4 99 0.791 2.74 11 :Code -Reason for absence 11 :Code -Reason for absence 11 :Code -Reason for absence 11 :Code -Reason for absence 11 :Code -Reason for absence 43687 -4 -2 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 12 :15 days out of last 30 days 12 :15 days out of last 30 days 12 :15 days out of last 30 days 12 :15 days out of last 30 days 12 :15 days out of last 30 days 43687 -2 -1 1 2 13 :Migrated during past 5 yrs 13 :Migrated during past 5 yrs 13 :Migrated during past 5 yrs 13 :Migrated during past 5 yrs 13 :Migrated during past 5 yrs 43687 -2 -1 1 2 14 :Last place of residence 14 :Last place of residence 14 :Last place of residence 14 :Last place of residence 14 :Last place of residence 43687 -2 20 -1.109 3.623 4 :Gender code 4 :Gender code 4 :Gender code 4 :Gender code 4 :Gender code 43687 1 2 3 Cluster number Cluster number Cluster number Cluster number Cluster number 43687 1 360 198.829 101.642 Household identification No Household identification No Household identification No Household identification No Household identification No 151027 1001 360017 168165.916 102078.855 1a:Food code 1a:Food code 1a:Food code 1a:Food code 1a:Food code 151027 -1 31 14.779 8.45 1b:Eat or Bought? 1b:Eat or Bought? 1b:Eat or Bought? 1b:Eat or Bought? 1b:Eat or Bought? 151026 1 -1 1 2 7 Sysmiss 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 2 :Weekly/Monthly? 151027 -2 -1 1 2 3 4 7 3a:Value of food 3a:Value of food 3a:Value of food 3a:Value of food 3a:Value of food 150999 28 -4 3500 10.163 31.691 3b:Quantity 3b:Quantity 3b:Quantity 3b:Quantity 3b:Quantity 150987 40 -4 320 3.788 10.348 4a:Value of food received 4a:Value of food received 4a:Value of food received 4a:Value of food received 4a:Value of food received 150965 62 -4 500 0.119 4.224 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 4b:Amount of food received 150965 62 -4 397 0.18 3.538 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 5a:Value of food produced 150967 60 -4 300 0.0471 1.973 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 5b:Amount of food produced 150968 59 -4 240 0.0939 2.158 Cluster number Cluster number Cluster number Cluster number Cluster number 151027 1 360 168.141 102.086 358 1 360 180.293 104.321 Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural 358 1 2 3 Household identification No Household identification No Household identification No Household identification No Household identification No 8809 1001 360017 179767.71 102415.701 Cigarettes and Tobacco Exp. Cigarettes and Tobacco Exp. Cigarettes and Tobacco Exp. Cigarettes and Tobacco Exp. Cigarettes and Tobacco Exp. 8736 73 2000 23.644 52.447 Spirits Exp. Spirits Exp. Spirits Exp. Spirits Exp. Spirits Exp. 8725 84 2000 24.66 58.178 Entertainment Exp. Entertainment Exp. Entertainment Exp. Entertainment Exp. Entertainment Exp. 8800 9 3000 13.523 66.971 Personal Care Exp. Personal Care Exp. Personal Care Exp. Personal Care Exp. Personal Care Exp. 8752 57 800 30.96 46.173 Newspapers Etc. Exp. Newspapers Etc. Exp. Newspapers Etc. Exp. Newspapers Etc. Exp. Newspapers Etc. Exp. 8792 17 1800 8.906 34.661 Telephone Exp. Telephone Exp. Telephone Exp. Telephone Exp. Telephone Exp. 8789 20 1600 29.68 74.393 Vehicle Exp. Vehicle Exp. Vehicle Exp. Vehicle Exp. Vehicle Exp. 8770 39 4000 71.435 202.81 Transportation Exp. Transportation Exp. Transportation Exp. Transportation Exp. Transportation Exp. 8734 75 25000 51.736 330.421 Washing Supplies Exp. Washing Supplies Exp. Washing Supplies Exp. Washing Supplies Exp. Washing Supplies Exp. 8771 38 800 14.502 19.119 Day Care Exp. Day Care Exp. Day Care Exp. Day Care Exp. Day Care Exp. 8801 8 700 11.884 51.568 Dues Exp. Dues Exp. Dues Exp. Dues Exp. Dues Exp. 8766 43 3000 20.394 73.183 Donations Exp. Donations Exp. Donations Exp. Donations Exp. Donations Exp. 8800 9 1500 4.286 38.496 Household Help Exp. Household Help Exp. Household Help Exp. Household Help Exp. Household Help Exp. 8800 9 2400 35.676 115.974 With Missing Values With Missing Values With Missing Values With Missing Values With Missing Values 8745 64 1 2 3 4 5 6 10 13 Sysmiss Tot Non Food Month Exp Tot Non Food Month Exp Tot Non Food Month Exp Tot Non Food Month Exp Tot Non Food Month Exp 8482 327 27055 340.862 603.208 Cluster number Cluster number Cluster number Cluster number Cluster number 8809 1 360 179.744 102.421 Household identification No Household identification No Household identification No Household identification No Household identification No 8809 1001 360017 179767.71 102415.701 Kitchen equipments Kitchen equipments Kitchen equipments Kitchen equipments Kitchen equipments 8767 42 13000 87.517 417.148 Home rep/maint. Home rep/maint. Home rep/maint. Home rep/maint. Home rep/maint. 8778 31 80000 447.296 3218.98 Bedding/Towels etc. Bedding/Towels etc. Bedding/Towels etc. Bedding/Towels etc. Bedding/Towels etc. 8774 35 6000 92.914 295.743 Furniture/Appliance Furniture/Appliance Furniture/Appliance Furniture/Appliance Furniture/Appliance 8780 29 60000 666.228 1951.438 Shoes Shoes Shoes Shoes Shoes 8619 190 6000 250.361 354.39 Clothes Clothes Clothes Clothes Clothes 8607 202 16000 533.161 892.66 cloth materials. cloth materials. cloth materials. cloth materials. cloth materials. 8793 16 30000 61.341 432.31 Dentists/Doctors/Nurses Dentists/Doctors/Nurses Dentists/Doctors/Nurses Dentists/Doctors/Nurses Dentists/Doctors/Nurses 8721 88 30000 177.688 921.369 Hospital Fees Hospital Fees Hospital Fees Hospital Fees Hospital Fees 8738 71 45000 75.106 829.371 Medical Supplies Medical Supplies Medical Supplies Medical Supplies Medical Supplies 8770 39 17000 70.597 446.755 Traditional Healer Traditional Healer Traditional Healer Traditional Healer Traditional Healer 8796 13 4400 13.979 99.638 Holidays Holidays Holidays Holidays Holidays 8796 13 120000 413.053 2749 Luxury Goods Luxury Goods Luxury Goods Luxury Goods Luxury Goods 8802 7 40000 101.618 860.294 With Missing Values With Missing Values With Missing Values With Missing Values With Missing Values 8061 748 1 2 3 4 5 6 7 8 13 Sysmiss Tot Non Food Yearly Exp Tot Non Food Yearly Exp Tot Non Food Yearly Exp Tot Non Food Yearly Exp Tot Non Food Yearly Exp 8382 427 156700 2992.809 6987.577 Cluster number Cluster number Cluster number Cluster number Cluster number 8809 1 360 179.744 102.421 :Cluster Number :Cluster Number :Cluster Number :Cluster Number :Cluster Number 358 1 360 180.293 104.321 2:Statistical Region 2:Statistical Region 2:Statistical Region 2:Statistical Region 2:Statistical Region 358 97 50.296 36.91 3:Province Code 3:Province Code 3:Province Code 3:Province Code 3:Province Code 358 1 2 3 4 6 7 9 10 11 13 4:Province Name 4:Province Name 4:Province Name 4:Province Name 4:Province Name 358 BOPHUTHATSWANA CAPE CISKEI GAZANKULU KANGWANE KWA ZULU KWANDEBELE LEBOWA NATAL ORANGE FREE STATE QWA-QWA TRANSKEI TRANSVAAL VENDA 5:Magesterial District - Code 5:Magesterial District - Code 5:Magesterial District - Code 5:Magesterial District - Code 5:Magesterial District - Code 358 001 003 004 005 006 007 010 015 017 022 024 027 032 034 043 045 046 049 051 052 053 060 074 081 088 093 094 097 099 105 107 108 201 203 210 211 212 219 220 221 222 223 225 227 231 232 237 300 302 303 304 305 306 307 308 309 310 311 312 313 314 316 317 318 319 320 321 323 324 325 334 339 341 344 346 349 350 354 355 357 358 360 362 364 365 367 402 410 413 421 422 424 429 433 434 439 441 442 447 500 501 503 504 505 506 507 508 509 512 513 515 516 517 519 520 523 524 525 600 601 602 633 636 700 800 801 803 804 805 900 901 903 904 905 906 907 908 909 910 950 951 B01 B02 B03 B04 B05 B06 B07 B08 B09 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20 B21 C01 C02 C03 C04 C05 C06 T01 T03 T04 T05 T06 T07 T08 T09 T10 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 T25 T26 T27 T28 V01 V02 V03 6:Magesterial District - Name 6:Magesterial District - Name 6:Magesterial District - Name 6:Magesterial District - Name 6:Magesterial District - Name 358 ALFRED BAFOKENG BALFOUR BARBETON BEDFORD/ADELAIDE BELLVILLE BENONI BETHULIE BIZANA BLOEMFONTEIN BOCHUM BOKSBURG BOLOBEDU BOTHAVILLE BOTSHABELO BRAKPAN BRITS BUTTERWORTH CALEDON CAPE TOWN CERES CHATSWORTH COFIMVABA CULLINAN DE AAR DITSOBOTLA DUNDEE DURBAN DZANANI EAST LONDON EERSTEHOEK ELLIOTDALE EMBUMBULU EMNAMBITHI EMPUMALANGA EMZUMBE ENGCOBO ENSELENI ERMELO EXCELSIOR EZINGOLWENI FICKSBURG FLAGSTAFF GERMISTON GOODWOOD GORDONIA HARRISMITH HEWU HLANGANANI HOEVELDRIF HOFMEYR HOOPSTAD HUMANSDORP IDUTYWA INANDA INKANYEZI JOHANNESBURG KEMPTON PARK KENTANI KIESKAMMA HOEK KIMBERLEY KIRKWOOD KLERKSDORP KLIPRIVER KNYSNA KROONSTAD KRUGERSDORP KUILS RIVER LADY FRERE LEHURUTSHE LIBODE LICHTENBURG LIONS RIVER LOWER TUGELA LOWER UMFOLOZI LULEKANI LUSIKISIKI LYDENBURG MACLEAR MADADENI MADIKWE MAHLABATINI MALAMULELE MALUTI MANKWE MAPULANENG MARICO MDANTSANE MDUTJANA MHALA MKOBOLA MOKERONG MOLOPO MORETELE MOUTSE MPOFU MQANDULI MSINGA MT. FLETCHER MT. FRERE NAMAKGALE NAMAKWALAND NAPHUNO NDWEDWE NEBO NEW HANOVER NEWCASTLE NGOTSHE NGQELENI NIGEL NKANDLA NKOMAZI NONGOMA NQAMAKWE NSIKAZI NTUZUMA OBERHOLZER ODENDAALSRUS ODI OKHAHLAMBA OKHLAHLAMBA OUDTSHOORN PAARL PEDDIE PHALABORWA PIET RETIEF PIETERMARITZBURG PIETERSBURG PINETOWN PORT ELIZABETH PORT ST. JOHNS POSTMASBURG POTCHEFSTROOM POTGIETERSRUS PRETORIA PRINCE ALBERT QUEENSTOWN QUMBU RANDBURG RANDFONTEIN RITAVI RIVERSDALE ROODEPOORT SASOLBURG SCHWEIZER RENEKE SEKHUKHUNELAND SENEKAL SESHEGO SIMDLANGENTSHA SOMERSET WEST SOSHANGUVE SPRINGS STANDERTON STERKSPRUIT SWARTRUGGENS TABANKULU TAUNG THABA-NCHU THABAMOOPO THOHOYANDOU TLHAPING - TLHARO TSOLO TSOMO UITENHAGE UMLAZI UMTATA UMZIMKHULU UMZINTO VANDERBIJLPARK VANRHYNSDORP VENTERSDORP VEREENIGING VREDENBURG VRYBURG VULINDLELA VUWANI/TSHITALE WARMBAD WARRENTON WELKOM WESSELSBRON WESTONARIA WILLOWVALE WITBANK WITSIESHOEK WONDERBOOM WORCESTER WYNBERG ZWELITSHE 7:ESD Name 7:ESD Name 7:ESD Name 7:ESD Name 7:ESD Name 358 ACTONVILLE ADRIAANSE ALEXANDER BAY ALEXANDRA ALFRED NU/NS ATTERIDGEVILLE BALFOUR NU/NS BARBETON NU/NS BEACON VALLEY BEDFORD/ADELAIDE BELHAR BENONI BETHELSDORP BIESIESVLEI BISHOP LAVIS BLOCK X BOCHUM NU/NS BOLOBEDU NU/NS BOTHAVILLE NU/NS BOTSHABELO BRACKENFELL BRITS NU/NS/CULLINAN CALEDON NS/NU CERES NU/NS CHURCHILL CLAREMONT CLERKILLE COMET CONSTANTIA PARK CORANA CROSSMOOR DALVIEW DAVEYTON DE AAR DESPATCH DIEPMEADOW DIHIBIDUNG DOBSONVILLE DUDMENI DUDUZA DUMSI DURBANVILLE PROPER EAST LONDON NU/NS EASTWOOD EDENDALE EERSTEHOEK NU/NS ELARDUSPARK EMBALENHLE EMBUMBULU NU/NS EMNABITHI NU/NS EMNAMBITHI EMPUMALANGA NU/NS EMZUMBE NU/NS ENNERDALE ENSELENI NU/NS EVATON EXCELSIOR NU/NS EZAKHENI EZINGOLWENI NU/NS FAMA FORT MALAN GA-KGAPANE GALESHEWE GAQANGANA/NOKGOHLOKO GELUKSDAL GERMISTON REST GLENMARAIS GLENMORE GRABOUW GRASSY PARK GRASSY PARK/MONTAGU'S GIFT GREENFIELD GROSVENOR/JACOBS/BONELA GUGULETHU HARRISMITH NU/NS HAYI/MNGAZI/NDITA HEIDEDAL HLANGANANI NU/NS HOFMEYR NS/NU HOMEVALE HOOPSTAD NU/NS HOWICK IBHAYI IMBALI INKANYEZI NU/NS IPELENGENG ITSOSENG JEFFREYS BAY JOBERTON JOHANNESBURG & CLAREMONT KAGISO KALANA KEMPTON PARK RES. KENSINGTON KGABOESELE KHAYELITSA/LINGELETHU WEST KHUTSONG KIRKWOOD NS/NU KLAWER KLERKSDORP NU/NS KOEQANA KOKOMENG KROONSTAD KRUGERSDORP NORTH KUTLWANONG KWAMAKUTA KWAMASHU KWANO-BUHLE KWATHEMA KWAZANELE KWELERA/NEWLANDS/MOOIPLAAS LADYSMITH LAMTHOLE LANGA LENTEGEUR LEPHOI LOWER TUGELA NU/NS LUGENGELENI/GXENI LULEKANI NU/NS LULEKANI/NKOWAKIWA LUYENGWENI LYDENBURG NU/NS MACASSAR MACLEAR NS/NU MADADENI MADADENI NU/NS MADINKGWANA MAGWACA MAHANGWE MAHLABATINI NU/NS MALAMULELE NU/NS MAMELODI MANGAUNG MAOKENG MAPULANENG NU/NS MAQANYENI MARICO NU/NS MATHEKO MATLOU MATOLONG MATSA MATSULU MAUMONG MAUTSE MDANTSANE MDUTJANA NU/NS MENLO PARK MEQHELENG MFOLOZI MHALA NU/NS MIDRAND MIER MKHAMBA MKOBOLA NU/NS MMAKAU MNGQOSINI MODIMOLA MOEDING MOEMA MOHLAKENG MOKERONG NU/NS MOKWENA MOLELEMA MONYAKENG MOTHERWELL MOTLHABENG MOUNT ROAD/CANNONVILLE MOUTSE NU/NS MPUMALANGA MSINGA NU/NS MSOBOMVU MVOLOZANE NAMAKGALE NAPHUNO NU/NS NBUQWINI NDWEDWE NU/NS NEBO NU/NS NEW HANOVER NU/NS NEWCASTLE NU/NS NEWLANDS WEST NGANGELIZWE NGAPHESHEYA/MISSION/NKENCEZI NGOTSHE NU/NS NGQUBA NKANDLA NU/NS NKOMAZI NU/NS NONGOMA NU/NS NORKEM PARK NSIKAZI NU/NS NTABA KANDODA FOREST NTUZUMA NTUZUMA NU/NS OKHAHLAMBA NU/NS ORANGEFARM EN OMGEWING OSIZWENI OUDTSHOORN PAARL PARKDENE PERCY PHALABORWA NU/NS PHOLA PHUMLO PIET RETIEF PIETERSBURG PINETOWN PLETTENBERG BAY POSTMASBURG NS/NU POTCHEFSTROOM NU/NS POTGIETERSRUS NU/NS PRETORIA CENTRAL PRINCE ALBERT NS/NU PROTEA RIDGE A.H. QADINI/RHINI/MDENI QUEENSTOWN RAMANYAPELO A RAMOLE RANDPARKRIF RANDVAAL REFILWE RETREAT RHEEDERPARK RICHARDS BAY RITAVI NU/NS RIVERSDALE RIVONIA ROBERTSHAM ROCKFORD ROCKLANDS SASOLBURG NU/NS SEA POINT SEBOKENG SEKHUKHUNELAND NU/NS SEKHUKHUNELAND/NEBO SENEKAL NU/NS SESHEGO NU/NS SHAYANDIMA SIBONGILE SIDIKIDIKI SILVERTON SIMDLANGENTSHA NU/NS SITHEBE SIYABUSWA SOMERSET WEST SOSHANGUVE SOWETO SPARKS ST. WENDOLINS, SAVANNAH PARK STANDERTON NU/NS STILFONTEIN SUNFORD SWARTRUGGENS NU/NS TAFELSIG TEMBISA THABAMOOPO NU/NS THABONG TLHABANE TONGAAT TSAKANE TSHITEREKE, DONALD FRASER TSITSONG TYUTYU UMLAZI UMZINTO NORTH UPPER BLINKWATER/TIDBURY'S TOLL VANDERBIJLPARK VENTERSDORP NU/NS VEREENIGING NU/NS VERULAM VHANGANI VHUTALU, MUDZIDZIDAI VOSLOOSRUS VREDENBURG/SALDAHNA VRYBURG NS/NU VULINDLELA NU/NS WARD 6 WARD F WARD H WARMBAD WARRENTON WELBEDACHT 1 WELKOM NS/NU WELTEVREDEN PARK WESTCLIFF WESTONARIA/DISCOVERY WESTRIDGE WINDERMERE WITBANK WITBANK NU/NS WITSIESHOEK NU/NS WONDERBOOM SUID WORCESTER ZIZANA 8:Population 8:Population 8:Population 8:Population 8:Population 358 596632 33989.52 95618.327 9:Type 9:Type 9:Type 9:Type 9:Type 358 1 3 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 358 1 2 3 4 5 6 7 8 9 Province Province Province Province Province 358 1 2 3 4 5 6 7 8 9 10 11 12 13 14 New Province New Province New Province New Province New Province 358 1 2 3 4 5 6 7 8 9 New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code 358 1 4006 654.251 749.983 Household identification No Household identification No Household identification No Household identification No Household identification No 35 34006 336011 145300.914 68202.606 1a:Partnership ? 1a:Partnership ? 1a:Partnership ? 1a:Partnership ? 1a:Partnership ? 35 1 2 1b:Percentage of Farm 1b:Percentage of Farm 1b:Percentage of Farm 1b:Percentage of Farm 1b:Percentage of Farm 35 -4 51 2.486 13.921 2 :(1) Field crop products 2 :(1) Field crop products 2 :(1) Field crop products 2 :(1) Field crop products 2 :(1) Field crop products 35 -4 2433612 202740.2 494962.364 2 :(2) Value of hortic product 2 :(2) Value of hortic product 2 :(2) Value of hortic product 2 :(2) Value of hortic product 2 :(2) Value of hortic product 35 -1 51000 2485.686 9882.765 2 :(3) Value of animal products 2 :(3) Value of animal products 2 :(3) Value of animal products 2 :(3) Value of animal products 2 :(3) Value of animal products 35 -4 800000 93620.114 180114.168 2 :(4) Forestry products 2 :(4) Forestry products 2 :(4) Forestry products 2 :(4) Forestry products 2 :(4) Forestry products 35 -1 202816 6423.286 34284.398 2 :(5) Other farm income 2 :(5) Other farm income 2 :(5) Other farm income 2 :(5) Other farm income 2 :(5) Other farm income 35 -1 240000 26228.543 53454.825 3 :(1) Capital expenses 3 :(1) Capital expenses 3 :(1) Capital expenses 3 :(1) Capital expenses 3 :(1) Capital expenses 35 -4 1000000 76696.514 192408.672 3 :(2) Cost of new equipment 3 :(2) Cost of new equipment 3 :(2) Cost of new equipment 3 :(2) Cost of new equipment 3 :(2) Cost of new equipment 35 -4 288000 29599.857 62595.592 3 :(3) New building cost 3 :(3) New building cost 3 :(3) New building cost 3 :(3) New building cost 3 :(3) New building cost 35 -4 300000 22057.057 63962.309 3 :(4) Development work 3 :(4) Development work 3 :(4) Development work 3 :(4) Development work 3 :(4) Development work 35 -4 100000 4859.829 17444.957 3 :(5) Other expenses 3 :(5) Other expenses 3 :(5) Other expenses 3 :(5) Other expenses 3 :(5) Other expenses 35 -4 465000 44422.829 116362.192 3 :(6) Running cost 3 :(6) Running cost 3 :(6) Running cost 3 :(6) Running cost 3 :(6) Running cost 35 -4 1218076 88806.571 211612.132 4a:No of permanent workers 4a:No of permanent workers 4a:No of permanent workers 4a:No of permanent workers 4a:No of permanent workers 35 -1 64 9.714 13.522 4b:No of seasonal workers 4b:No of seasonal workers 4b:No of seasonal workers 4b:No of seasonal workers 4b:No of seasonal workers 35 -1 300 20.829 53.648 5 :(1) Tractors other farm vehi 5 :(1) Tractors other farm vehi 5 :(1) Tractors other farm vehi 5 :(1) Tractors other farm vehi 5 :(1) Tractors other farm vehi 35 -4 3000000 336041.343 578694.541 5 :(2) Mechanised farm equipmen 5 :(2) Mechanised farm equipmen 5 :(2) Mechanised farm equipmen 5 :(2) Mechanised farm equipmen 5 :(2) Mechanised farm equipmen 35 -4 800000 86264.914 167623.988 5 :(3) Other farm tools 5 :(3) Other farm tools 5 :(3) Other farm tools 5 :(3) Other farm tools 5 :(3) Other farm tools 35 -4 510000 39645.057 98002.496 Cluster number Cluster number Cluster number Cluster number Cluster number 35 34 336 145.286 68.201 clustnum clustnum clustnum clustnum clustnum 207 1 360 220.449 100.737 agricultural centre service agricultural centre service agricultural centre service agricultural centre service agricultural centre service 195 12 1 2 Sysmiss distance of centre service distance of centre service distance of centre service distance of centre service distance of centre service 92 115 200 30.804 32.832 agricultural agent service visi agricultural agent service visi agricultural agent service visi agricultural agent service visi agricultural agent service visi 1 206 1 Sysmiss farming agencies farming agencies farming agencies farming agencies farming agencies 66 141 1 2 3 4 Sysmiss farming agencies farming agencies farming agencies farming agencies farming agencies 6 201 1 3 Sysmiss service provided by agencies service provided by agencies service provided by agencies service provided by agencies service provided by agencies 60 147 1 2 3 4 6 8 Sysmiss service provided by agencies service provided by agencies service provided by agencies service provided by agencies service provided by agencies 37 170 1 2 3 4 6 Sysmiss service provided by agencies service provided by agencies service provided by agencies service provided by agencies service provided by agencies 15 192 1 2 3 4 6 Sysmiss service provided by agencies service provided by agencies service provided by agencies service provided by agencies service provided by agencies 9 198 1 2 3 6 Sysmiss cooperative service cooperative service cooperative service cooperative service cooperative service 184 23 1 2 6 Sysmiss cooperative service code1 cooperative service code1 cooperative service code1 cooperative service code1 cooperative service code1 7 200 1 2 Sysmiss cooperative service code2 cooperative service code2 cooperative service code2 cooperative service code2 cooperative service code2 5 202 1 2 4 Sysmiss cooperative service code3 cooperative service code3 cooperative service code3 cooperative service code3 cooperative service code3 207 Sysmiss cooperative service code4 cooperative service code4 cooperative service code4 cooperative service code4 cooperative service code4 207 Sysmiss number of tractors availability number of tractors availability number of tractors availability number of tractors availability number of tractors availability 73 134 500 19.644 61.26 are fertilizers used? are fertilizers used? are fertilizers used? are fertilizers used? are fertilizers used? 176 31 1 2 Sysmiss use insecticides or herbicides? use insecticides or herbicides? use insecticides or herbicides? use insecticides or herbicides? use insecticides or herbicides? 180 27 1 2 Sysmiss rain during the past twelve mon rain during the past twelve mon rain during the past twelve mon rain during the past twelve mon rain during the past twelve mon 186 21 1 2 3 Sysmiss buy or sell land? buy or sell land? buy or sell land? buy or sell land? buy or sell land? 190 17 1 2 Sysmiss are there any sharecroppers? are there any sharecroppers? are there any sharecroppers? are there any sharecroppers? are there any sharecroppers? 189 18 1 2 Sysmiss sharecroppers proportion sharecroppers proportion sharecroppers proportion sharecroppers proportion sharecroppers proportion 38 169 1 2 3 4 Sysmiss Household identification No Household identification No Household identification No Household identification No Household identification No 1442 2024 360012 269177.318 65960.6 3a:Litres milk last month 3a:Litres milk last month 3a:Litres milk last month 3a:Litres milk last month 3a:Litres milk last month 1442 -4 4900 8.023 162.964 3b:Litres of milk used 3b:Litres of milk used 3b:Litres of milk used 3b:Litres of milk used 3b:Litres of milk used 1442 -4 100 0.556 6.492 3c:Litres of milk sold 3c:Litres of milk sold 3c:Litres of milk sold 3c:Litres of milk sold 3c:Litres of milk sold 1442 -4 4865 5.748 154.067 3d:Value of milk sold 3d:Value of milk sold 3d:Value of milk sold 3d:Value of milk sold 3d:Value of milk sold 1442 -4 3892 4.739 123.277 4a:No of eggs produced 4a:No of eggs produced 4a:No of eggs produced 4a:No of eggs produced 4a:No of eggs produced 1442 -4 326 8.721 16.481 4b:No of eggs used 4b:No of eggs used 4b:No of eggs used 4b:No of eggs used 4b:No of eggs used 1442 -4 100 2.856 8.204 4c:Qty eggs sold 4c:Qty eggs sold 4c:Qty eggs sold 4c:Qty eggs sold 4c:Qty eggs sold 1442 -4 290 -0.119 8.082 4d:Value off eggs sold 4d:Value off eggs sold 4d:Value off eggs sold 4d:Value off eggs sold 4d:Value off eggs sold 1442 -4 240 -0.0573 6.784 5 :Value of sale of wool 5 :Value of sale of wool 5 :Value of sale of wool 5 :Value of sale of wool 5 :Value of sale of wool 1442 -4 1600 1.415 52.393 6 :Value of skins/hides sold 6 :Value of skins/hides sold 6 :Value of skins/hides sold 6 :Value of skins/hides sold 6 :Value of skins/hides sold 1442 -3 144 -0.275 5.782 7 :Cost of vet services 7 :Cost of vet services 7 :Cost of vet services 7 :Cost of vet services 7 :Cost of vet services 1442 -4 1800 8.494 75.632 Cluster number Cluster number Cluster number Cluster number Cluster number 1442 2 360 269.159 65.959 Household identification No Household identification No Household identification No Household identification No Household identification No 1141 2024 360010 263464.18 64280.682 3.1a:Subsidies or drought relie 3.1a:Subsidies or drought relie 3.1a:Subsidies or drought relie 3.1a:Subsidies or drought relie 3.1a:Subsidies or drought relie 1141 -1 1 2 3.1b:Value of subsidies 3.1b:Value of subsidies 3.1b:Value of subsidies 3.1b:Value of subsidies 3.1b:Value of subsidies 1141 -2 240000 369.465 7522.782 3.2a:Services to other farmers 3.2a:Services to other farmers 3.2a:Services to other farmers 3.2a:Services to other farmers 3.2a:Services to other farmers 1141 -1 1 2 3.2b:Value of services to other 3.2b:Value of services to other 3.2b:Value of services to other 3.2b:Value of services to other 3.2b:Value of services to other 1141 -2 400 -0.588 17.275 3.3 :Other income from farming 3.3 :Other income from farming 3.3 :Other income from farming 3.3 :Other income from farming 3.3 :Other income from farming 1141 -1 1 2 4.1a:Own tractors etc ? 4.1a:Own tractors etc ? 4.1a:Own tractors etc ? 4.1a:Own tractors etc ? 4.1a:Own tractors etc ? 1141 -1 1 2 4.1b:Value of vehicles 4.1b:Value of vehicles 4.1b:Value of vehicles 4.1b:Value of vehicles 4.1b:Value of vehicles 1141 -4 1000000 1814.428 31871.642 4.2a:Own mechanised Equipment? 4.2a:Own mechanised Equipment? 4.2a:Own mechanised Equipment? 4.2a:Own mechanised Equipment? 4.2a:Own mechanised Equipment? 1141 -1 1 2 4.2b:Value of mechanised equip 4.2b:Value of mechanised equip 4.2b:Value of mechanised equip 4.2b:Value of mechanised equip 4.2b:Value of mechanised equip 1141 -4 100000 381.884 4722.665 4.3a:Own non mechanised equip 4.3a:Own non mechanised equip 4.3a:Own non mechanised equip 4.3a:Own non mechanised equip 4.3a:Own non mechanised equip 1141 -1 1 2 4.3b:Value of non mech. equip 4.3b:Value of non mech. equip 4.3b:Value of non mech. equip 4.3b:Value of non mech. equip 4.3b:Value of non mech. equip 1141 -4 60000 187.126 1932.736 Cluster number Cluster number Cluster number Cluster number Cluster number 1141 2 360 263.445 64.278 Household identification No Household identification No Household identification No Household identification No Household identification No 5971 1009 360016 194353.301 104051.583 1a:Bursaries ? 1a:Bursaries ? 1a:Bursaries ? 1a:Bursaries ? 1a:Bursaries ? 5971 -1 1 2 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 1b:Value of bursaries 5953 18 -4 50000 84.42 1143.189 2a:Free school meals? 2a:Free school meals? 2a:Free school meals? 2a:Free school meals? 2a:Free school meals? 5971 -1 1 2 2b:Value of free meals 2b:Value of free meals 2b:Value of free meals 2b:Value of free meals 2b:Value of free meals 5971 -4 3000 3.517 63.749 Cluster number Cluster number Cluster number Cluster number Cluster number 5971 1 360 194.331 104.057 cluster number cluster number cluster number cluster number cluster number 299 3.69e-40 341 162.174 95.265 adult literacy programme adult literacy programme adult literacy programme adult literacy programme adult literacy programme 291 8 3.69e-40 2 1.739 0.448 programme start programme start programme start programme start programme start 80 219 1993 1912.913 379.996 programme end programme end programme end programme end programme end 22 277 1993 904.318 1013.945 number of men attended number of men attended number of men attended number of men attended number of men attended 52 247 250 43.788 49.668 number of women attended number of women attended number of women attended number of women attended number of women attended 55 244 600 69.855 106.805 schooling problem one schooling problem one schooling problem one schooling problem one schooling problem one 220 79 8 3.359 2.698 schooling problem two schooling problem two schooling problem two schooling problem two schooling problem two 155 144 9 3.484 2.607 schooling problem three schooling problem three schooling problem three schooling problem three schooling problem three 91 208 10 2.736 2.25 schooling problem four schooling problem four schooling problem four schooling problem four schooling problem four 47 252 3.69e-40 8 2.468 2.009 cluster number cluster number cluster number cluster number cluster number 299 1 341 162.709 95.333 traditional birth attendant traditional birth attendant traditional birth attendant traditional birth attendant traditional birth attendant 246 53 1 2 Sysmiss distance of traditional birth a distance of traditional birth a distance of traditional birth a distance of traditional birth a distance of traditional birth a 82 217 160 13.205 23.282 health services or personnel health services or personnel health services or personnel health services or personnel health services or personnel 285 14 1 2 Sysmiss specify services specify services specify services specify services specify services 22 2 AMBULANCE SERVICES DENTIST FIRST AID FIRST AIDERS HERBALISTS, SANGOMAS HOMEOPATH MOBILE CLINIC PRIVATE DOCTOR PROPHETS SATELITE COMBI TRAD. DOCTORS TRAD. HEALERS TRADITIONAL HEALERS WITCH DOCTORS health problem one health problem one health problem one health problem one health problem one 212 87 1 2 3 4 5 6 7 8 Sysmiss health problem two health problem two health problem two health problem two health problem two 148 151 1 2 3 4 5 6 8 Sysmiss health problem three health problem three health problem three health problem three health problem three 79 220 1 2 3 4 5 6 7 Sysmiss health problem four health problem four health problem four health problem four health problem four 48 251 1 2 3 4 5 6 7 Sysmiss health service one health service one health service one health service one health service one 184 115 1 2 3 4 5 6 9 Sysmiss health service two health service two health service two health service two health service two 100 199 1 2 3 5 6 8 Sysmiss health service three health service three health service three health service three health service three 51 248 1 2 3 4 5 6 Sysmiss health service four health service four health service four health service four health service four 23 276 1 2 3 5 6 Sysmiss birth place in community birth place in community birth place in community birth place in community birth place in community 292 7 1 2 3 4 Sysmiss immunisation campaign immunisation campaign immunisation campaign immunisation campaign immunisation campaign 291 8 1 2 Sysmiss cluster number cluster number cluster number cluster number cluster number 334 1 360 179.751 105.531 date began date began date began date began date began 332 01/29/1994 04/01/1994 04/10/1993 07/26/1993 07/27/1993 08/01/1993 08/10/1993 08/11/1993 08/14/1993 08/16/1993 08/17/1993 08/18/1993 08/19/1993 08/20/1993 08/23/1993 08/24/1993 08/25/1993 08/26/1993 08/27/1993 08/29/1993 08/30/1993 08/31/1993 09/01/1993 09/02/1993 09/03/1993 09/04/1993 09/06/1993 09/07/1993 09/08/1993 09/09/1993 09/10/1993 09/11/1993 09/13/1993 09/14/1993 09/15/1993 09/16/1993 09/17/1993 09/18/1993 09/20/1993 09/21/1993 09/22/1993 09/23/1993 09/24/1993 09/25/1993 09/26/1993 09/27/1993 09/28/1993 09/29/1993 10/01/1993 10/02/1993 10/03/1993 10/04/1993 10/05/1993 10/06/1993 10/07/1993 10/08/1993 10/10/1993 10/11/1993 10/12/1993 10/13/1993 10/14/1993 10/15/1993 10/16/1993 10/18/1993 10/19/1993 10/20/1993 10/21/1993 10/22/1993 10/23/1993 10/25/1993 10/26/1993 10/27/1993 10/28/1993 10/29/1993 10/30/1993 11/01/1993 11/02/1993 11/03/1993 11/04/1993 11/05/1993 11/07/1993 11/08/1993 11/09/1993 11/10/1993 11/11/1993 11/12/1993 11/13/1993 11/14/1993 11/15/1993 11/16/1993 11/17/1993 11/18/1993 11/19/1993 11/20/1993 11/21/1993 11/23/1993 11/24/1993 11/25/1993 11/27/1993 11/29/1993 11/30/1993 12/02/1993 12/07/1993 12/09/1993 12/10/1993 15/10/1993 29/09/1993 31/08/1993 date completed date completed date completed date completed date completed 320 01/31/1994 04/01/1994 05/10/1993 05/11/1993 08/01/1993 08/10/1993 08/11/1993 08/15/1993 08/16/1993 08/17/1993 08/18/1993 08/19/1993 08/23/1993 08/24/1993 08/25/1993 08/26/1993 08/27/1993 08/28/1993 08/30/1993 08/31/1993 09/02/1993 09/04/1993 09/05/1993 09/06/1993 09/07/1993 09/08/1993 09/09/1993 09/10/1993 09/11/1993 09/12/1993 09/13/1993 09/14/1993 09/15/1993 09/16/1993 09/17/1993 09/18/1993 09/20/1993 09/21/1993 09/22/1993 09/23/1993 09/24/1993 09/25/1993 09/26/1993 09/27/1993 09/28/1993 09/29/1993 09/30/1993 10/01/1993 10/03/1993 10/04/1993 10/05/1993 10/06/1993 10/07/1993 10/08/1993 10/09/1993 10/10/1993 10/11/1993 10/12/1993 10/13/1993 10/14/1993 10/15/1993 10/16/1993 10/17/1993 10/18/1993 10/19/1993 10/20/1993 10/21/1993 10/22/1993 10/23/1993 10/24/1993 10/25/1993 10/26/1993 10/27/1993 10/28/1993 10/29/1993 10/31/1993 11/02/1993 11/03/1993 11/04/1993 11/05/1993 11/07/1993 11/08/1993 11/09/1993 11/10/1993 11/11/1993 11/12/1993 11/15/1993 11/16/1993 11/17/1993 11/18/1993 11/19/1993 11/20/1993 11/21/1993 11/23/1993 11/24/1993 11/25/1993 11/26/1993 11/27/1993 11/29/1993 11/30/1993 12/01/1993 12/02/1993 12/08/1993 12/12/1993 12/13/1993 15/10/1993 29/09/1993 31/08/1993 type of community type of community type of community type of community type of community 322 12 -1 1 2 3 Sysmiss population group- a population group- a population group- a population group- a population group- a 332 2 1 2 3 4 5 Sysmiss population group- b population group- b population group- b population group- b population group- b 83 251 1 2 3 4 5 Sysmiss population group- c population group- c population group- c population group- c population group- c 197 137 1 2 3 4 5 Sysmiss population group- d population group- d population group- d population group- d population group- d 13 321 -1 1 2 3 Sysmiss religion- a religion- a religion- a religion- a religion- a 328 6 1 2 3 5 6 Sysmiss religion- b religion- b religion- b religion- b religion- b 231 103 2 3 4 5 6 Sysmiss religion- c religion- c religion- c religion- c religion- c 193 141 2 3 4 6 Sysmiss religion- d religion- d religion- d religion- d religion- d 184 150 6 Sysmiss people moved too or away from c people moved too or away from c people moved too or away from c people moved too or away from c people moved too or away from c 327 7 1 2 3 4 Sysmiss homeless people homeless people homeless people homeless people homeless people 326 8 1 2 Sysmiss amount of homeless people amount of homeless people amount of homeless people amount of homeless people amount of homeless people 97 237 -31072 5200 171.186 3398.95 cluster number cluster number cluster number cluster number cluster number 335 1 360 179.224 105.814 6 : public transport 6 : public transport 6 : public transport 6 : public transport 6 : public transport 332 3 1 2 Sysmiss 7 : mode of transport 7 : mode of transport 7 : mode of transport 7 : mode of transport 7 : mode of transport 277 58 -1 1 2 3 4 5 6 7 Sysmiss 8 : distance of public transpor 8 : distance of public transpor 8 : distance of public transpor 8 : distance of public transpor 8 : distance of public transpor 87 248 160 7.439 21.315 9a: frequency code 9a: frequency code 9a: frequency code 9a: frequency code 9a: frequency code 250 85 -1 1 2 Sysmiss 9b: frequency number 9b: frequency number 9b: frequency number 9b: frequency number 9b: frequency number 132 203 -1 80 5.894 12.639 cluster number cluster number cluster number cluster number cluster number 334 1 360 179.751 105.531 1 : secondary school 1 : secondary school 1 : secondary school 1 : secondary school 1 : secondary school 334 -1 1 2 2 : number of secondary school 2 : number of secondary school 2 : number of secondary school 2 : number of secondary school 2 : number of secondary school 334 -2 -1 1 2 3 4 5 6 7 3 : distance of secondary schoo 3 : distance of secondary schoo 3 : distance of secondary schoo 3 : distance of secondary schoo 3 : distance of secondary schoo 334 -2 120 3.459 12.316 Household identification No Household identification No Household identification No Household identification No Household identification No 8808 1001 360017 179777.902 102417.049 1 :Drinking + other water sourc 1 :Drinking + other water sourc 1 :Drinking + other water sourc 1 :Drinking + other water sourc 1 :Drinking + other water sourc 8808 -1 1 2 3 2 :Code:main water source 2 :Code:main water source 2 :Code:main water source 2 :Code:main water source 2 :Code:main water source 8808 -1 1 2 3 4 5 6 7 8 9 10 11 12 3 :Get all water needed? 3 :Get all water needed? 3 :Get all water needed? 3 :Get all water needed? 3 :Get all water needed? 8808 -2 -1 1 2 3 4 :Fetch water daily? 4 :Fetch water daily? 4 :Fetch water daily? 4 :Fetch water daily? 4 :Fetch water daily? 8808 -2 -1 1 2 5 :Code:distance to water 5 :Code:distance to water 5 :Code:distance to water 5 :Code:distance to water 5 :Code:distance to water 8808 -2 -1 1 2 3 4 5 6a:Person 1 (fetch) 6a:Person 1 (fetch) 6a:Person 1 (fetch) 6a:Person 1 (fetch) 6a:Person 1 (fetch) 8808 -2 88 0.135 4.989 6a:Person 2 (fetch) 6a:Person 2 (fetch) 6a:Person 2 (fetch) 6a:Person 2 (fetch) 6a:Person 2 (fetch) 8808 -2 77 -0.503 3.925 6a:Person 3 (fetch) 6a:Person 3 (fetch) 6a:Person 3 (fetch) 6a:Person 3 (fetch) 6a:Person 3 (fetch) 8808 -2 77 -1.225 3.135 6c:Person 1:no of trips 6c:Person 1:no of trips 6c:Person 1:no of trips 6c:Person 1:no of trips 6c:Person 1:no of trips 8808 -4 25 -0.178 2.299 6c:Person 2:no of trips 6c:Person 2:no of trips 6c:Person 2:no of trips 6c:Person 2:no of trips 6c:Person 2:no of trips 8808 -4 25 -0.82 1.822 6c:Person 3:no of trips per 6c:Person 3:no of trips per 6c:Person 3:no of trips per 6c:Person 3:no of trips per 6c:Person 3:no of trips per 8808 -4 25 -1.21 1.38 6d:Person 1:time taken (min) 6d:Person 1:time taken (min) 6d:Person 1:time taken (min) 6d:Person 1:time taken (min) 6d:Person 1:time taken (min) 8808 -4 720 15.711 38.71 6d:Person 2:time taken (min) 6d:Person 2:time taken (min) 6d:Person 2:time taken (min) 6d:Person 2:time taken (min) 6d:Person 2:time taken (min) 8808 -4 720 8.446 31.854 6d:Person 3:time taken (min) 6d:Person 3:time taken (min) 6d:Person 3:time taken (min) 6d:Person 3:time taken (min) 6d:Person 3:time taken (min) 8808 -4 720 2.741 21.586 6e:Person 1:qty carried per 6e:Person 1:qty carried per 6e:Person 1:qty carried per 6e:Person 1:qty carried per 6e:Person 1:qty carried per 8808 -4 525 20.625 39.768 6e:Person 2:qty carried per 6e:Person 2:qty carried per 6e:Person 2:qty carried per 6e:Person 2:qty carried per 6e:Person 2:qty carried per 8808 -4 500 9.081 27.453 6e:Person 3:qty carried 6e:Person 3:qty carried 6e:Person 3:qty carried 6e:Person 3:qty carried 6e:Person 3:qty carried 8808 -4 225 2.474 16.711 10a:Code:toilet type 10a:Code:toilet type 10a:Code:toilet type 10a:Code:toilet type 10a:Code:toilet type 8808 -1 1 2 3 4 5 6 11a:Code:location of toilet 11a:Code:location of toilet 11a:Code:location of toilet 11a:Code:location of toilet 11a:Code:location of toilet 8808 -2 -1 1 2 3 Cluster number Cluster number Cluster number Cluster number Cluster number 8808 1 360 179.754 102.423 Household identification No Household identification No Household identification No Household identification No Household identification No 8808 1001 360017 179777.902 102417.049 1 :Connected to electricity sup 1 :Connected to electricity sup 1 :Connected to electricity sup 1 :Connected to electricity sup 1 :Connected to electricity sup 8808 -1 1 2 2a:Cooking:main source 2a:Cooking:main source 2a:Cooking:main source 2a:Cooking:main source 2a:Cooking:main source 8808 -2 -1 1 2 3 4 5 7 8 11 12 2a:Cooking:second source 2a:Cooking:second source 2a:Cooking:second source 2a:Cooking:second source 2a:Cooking:second source 8808 -4 -2 -1 1 2 3 4 5 7 8 11 12 2b:Lighting:main source 2b:Lighting:main source 2b:Lighting:main source 2b:Lighting:main source 2b:Lighting:main source 8808 -2 -1 1 2 3 4 5 6 7 9 11 12 2b:Lighting:second source 2b:Lighting:second source 2b:Lighting:second source 2b:Lighting:second source 2b:Lighting:second source 8808 -2 -1 1 2 3 4 5 6 7 9 10 12 2c:Heating-water:main source 2c:Heating-water:main source 2c:Heating-water:main source 2c:Heating-water:main source 2c:Heating-water:main source 8808 -2 -1 1 2 3 4 5 7 8 11 12 2c:Heating-water:second source 2c:Heating-water:second source 2c:Heating-water:second source 2c:Heating-water:second source 2c:Heating-water:second source 8808 -2 -1 1 2 3 4 5 7 8 11 12 2d:Heating-home:main source 2d:Heating-home:main source 2d:Heating-home:main source 2d:Heating-home:main source 2d:Heating-home:main source 8808 -4 -2 -1 1 2 3 4 5 7 8 11 12 2d:Heating-home:second source 2d:Heating-home:second source 2d:Heating-home:second source 2d:Heating-home:second source 2d:Heating-home:second source 8808 -4 -2 -1 1 2 3 4 5 7 8 11 12 3b:Code:Person 1 (collects wood 3b:Code:Person 1 (collects wood 3b:Code:Person 1 (collects wood 3b:Code:Person 1 (collects wood 3b:Code:Person 1 (collects wood 8808 -2 77 -0.785 2.719 3b:Code:Person 2 (collects wood 3b:Code:Person 2 (collects wood 3b:Code:Person 2 (collects wood 3b:Code:Person 2 (collects wood 3b:Code:Person 2 (collects wood 8808 -2 88 -1.255 2.504 3b:Code:Person 3 (collects wood 3b:Code:Person 3 (collects wood 3b:Code:Person 3 (collects wood 3b:Code:Person 3 (collects wood 3b:Code:Person 3 (collects wood 8808 -2 19 -1.673 1.641 3c:Person 1:no of trips 3c:Person 1:no of trips 3c:Person 1:no of trips 3c:Person 1:no of trips 3c:Person 1:no of trips 8808 -4 19 0.595 1.344 3c:Person 2:no of trips 3c:Person 2:no of trips 3c:Person 2:no of trips 3c:Person 2:no of trips 3c:Person 2:no of trips 8808 -2 45 0.235 0.962 3c:Person 3:no of trips 3c:Person 3:no of trips 3c:Person 3:no of trips 3c:Person 3:no of trips 3c:Person 3:no of trips 8808 -4 -2 1 2 3 4 5 6 7 10 14 3d:Person 1:time taken 3d:Person 1:time taken 3d:Person 1:time taken 3d:Person 1:time taken 3d:Person 1:time taken 8808 -4 2880 40.146 94.053 3d:Person 2:time taken 3d:Person 2:time taken 3d:Person 2:time taken 3d:Person 2:time taken 3d:Person 2:time taken 8808 -2 780 18.59 65.777 3d:Person 3:time taken 3d:Person 3:time taken 3d:Person 3:time taken 3d:Person 3:time taken 3d:Person 3:time taken 8808 -2 600 7.06 42.027 Cluster number Cluster number Cluster number Cluster number Cluster number 8808 1 360 179.754 102.423 cluster number cluster number cluster number cluster number cluster number 334 1 360 179.751 105.531 1 : primary school 1 : primary school 1 : primary school 1 : primary school 1 : primary school 334 1 2 2 : number of primary school 2 : number of primary school 2 : number of primary school 2 : number of primary school 2 : number of primary school 334 -2 -1 1 2 3 4 5 6 7 9 10 11 12 13 14 3 : distance of primary school 3 : distance of primary school 3 : distance of primary school 3 : distance of primary school 3 : distance of primary school 334 -2 55 0.0402 5.574 Household identification No Household identification No Household identification No Household identification No Household identification No 8809 1001 360017 179767.71 102415.701 7a:No of listing unit selected 7a:No of listing unit selected 7a:No of listing unit selected 7a:No of listing unit selected 7a:No of listing unit selected 8809 -1 3813 110.179 240.506 7b:Total Household per Unit 7b:Total Household per Unit 7b:Total Household per Unit 7b:Total Household per Unit 7b:Total Household per Unit 8809 1 28 1.922 3.218 7c:Sequantial No. per Unit 7c:Sequantial No. per Unit 7c:Sequantial No. per Unit 7c:Sequantial No. per Unit 7c:Sequantial No. per Unit 8809 -1 28 1.456 1.894 8 :Replace/original 8 :Replace/original 8 :Replace/original 8 :Replace/original 8 :Replace/original 8809 -1 1 2 9 :Interviewer 1 code 9 :Interviewer 1 code 9 :Interviewer 1 code 9 :Interviewer 1 code 9 :Interviewer 1 code 8745 64 -2 9073 670.203 2183.85 10 :Interviewer 2 code 10 :Interviewer 2 code 10 :Interviewer 2 code 10 :Interviewer 2 code 10 :Interviewer 2 code 121 8688 -1 9013 1047.785 2677.248 11 :Date of visit 1 11 :Date of visit 1 11 :Date of visit 1 11 :Date of visit 1 11 :Date of visit 1 8762 01/01/90 01/01/93 01012001 04/13/93 05/07/93 05/25/93 05/26/93 05/30/93 06/26/93 06/29/93 07/02/93 07/04/93 07/10/93 07/17/93 08/01/93 08/02/93 08/03/93 08/04/93 08/05/93 08/06/93 08/07/93 08/08/93 08/09/93 08/10/93 08/11/93 08/12/93 08/13/93 08/14/93 08/15/93 08/16/93 08/17/93 08/18/93 08/19/93 08/20/93 08/21/93 08/22/93 08/23/93 08/24/93 08/25/93 08/26/93 08/27/93 08/28/93 08/29/93 08/30/93 08/31/93 09/01/93 09/02/93 09/03/93 09/04/93 09/05/93 09/06/93 09/07/93 09/08/93 09/09/92 09/09/93 09/10/93 09/11/93 09/12/93 09/13/93 09/14/93 09/15/93 09/16/93 09/17/93 09/18/91 09/18/93 09/19/93 09/20/93 09/21/93 09/22/93 09/23/93 09/24/93 09/25/93 09/26/93 09/27/93 09/28/93 09/29/93 09/30/93 09222003 10/01/93 10/02/93 10/03/93 10/04/93 10/05/93 10/06/93 10/07/93 10/08/93 10/09/93 10/10/93 10/11/93 10/12/93 10/13/93 10/14/93 10/15/93 10/16/93 10/17/93 10/18/93 10/19/93 10/20/93 10/21/93 10/22/93 10/23/93 10/24/93 10/25/93 10/26/93 10/27/93 10/28/93 10/29/93 10/30/93 10/31/93 10072000 10122000 11/01/93 11/02/93 11/03/93 11/04/93 11/05/93 11/06/93 11/07/93 11/08/93 11/09/93 11/10/93 11/11/93 11/12/93 11/13/93 11/14/93 11/15/93 11/16/93 11/17/89 11/17/93 11/18/93 11/19/93 11/20/93 11/21/93 11/22/93 11/23/93 11/24/93 11/25/93 11/26/93 11/27/93 11/28/93 11/29/93 11/30/93 12/01/93 12/02/93 12/03/93 12/07/93 12/08/93 12/09/93 12/10/93 12/11/93 12/13/93 12/20/93 12/30/93 11 :Date of visit 2 11 :Date of visit 2 11 :Date of visit 2 11 :Date of visit 2 11 :Date of visit 2 281 08/04/93 08/06/93 08/09/93 08/11/93 08/12/93 08/13/93 08/14/93 08/15/93 08/16/93 08/17/93 08/18/93 08/19/93 08/20/93 08/21/93 08/23/93 08/24/93 08/25/93 08/26/93 08/27/93 08/28/93 08/29/93 08/30/93 08/31/93 09/01/93 09/02/93 09/03/93 09/04/93 09/05/93 09/06/93 09/07/93 09/08/93 09/09/93 09/11/93 09/13/93 09/14/93 09/15/93 09/16/93 09/17/93 09/18/93 09/19/93 09/20/93 09/21/93 09/22/93 09/23/93 09/24/93 09/25/93 09/26/93 09/27/93 09/28/93 09/29/93 09/30/93 10/01/93 10/02/93 10/03/93 10/04/93 10/10/93 10/11/93 10/12/93 10/13/93 10/14/93 10/15/93 10/16/93 10/19/93 10/20/93 10/21/93 10/22/93 10/23/93 10/24/93 10/25/93 10/26/93 10/27/93 10/28/93 10/29/93 10/30/93 11/01/93 11/02/93 11/03/93 11/04/93 11/07/93 11/09/93 11/11/93 11/13/93 11/15/93 11/17/93 11/24/93 12a:Time Visit1 12a:Time Visit1 12a:Time Visit1 12a:Time Visit1 12a:Time Visit1 495 8314 1 2 3 4 5 6 7 8 9 Sysmiss 12b:Time Visit 12b:Time Visit 12b:Time Visit 12b:Time Visit 12b:Time Visit 23 8786 1 2 3 4 5 6 7 8 9 Sysmiss 14 :Anthropometrist Code 14 :Anthropometrist Code 14 :Anthropometrist Code 14 :Anthropometrist Code 14 :Anthropometrist Code 8762 47 -23 9014 262.658 1487.294 16 :Supervisor code 16 :Supervisor code 16 :Supervisor code 16 :Supervisor code 16 :Supervisor code 8752 57 -2 902 51.268 106.633 16 :Verified by supervisor 16 :Verified by supervisor 16 :Verified by supervisor 16 :Verified by supervisor 16 :Verified by supervisor 8809 -1 1 2 19 :Population Group 19 :Population Group 19 :Population Group 19 :Population Group 19 :Population Group 8809 1 2 3 4 20 :Gender 20 :Gender 20 :Gender 20 :Gender 20 :Gender 8809 -1 1 2 21 :Language code 21 :Language code 21 :Language code 21 :Language code 21 :Language code 8809 1 2 3 4 5 6 7 8 9 10 11 12 SS :Date of Capture SS :Date of Capture SS :Date of Capture SS :Date of Capture SS :Date of Capture 8809 01/03/94 01/04/94 01/05/94 01/06/94 01/07/94 01/10/94 01/11/94 01/12/94 01/13/94 01/14/94 01/17/94 01/18/94 01/19/94 01/20/94 01/21/94 01/24/94 01/25/94 09/06/93 09/07/93 09/08/93 09/09/93 09/10/93 09/13/93 09/14/93 09/15/93 09/16/93 09/17/93 09/20/93 09/21/93 09/22/93 09/23/93 09/24/93 09/27/93 09/28/93 09/29/93 09/30/93 10/01/93 10/04/93 10/05/93 10/06/93 10/07/93 10/08/93 10/11/93 10/12/93 10/13/93 10/14/93 10/15/93 10/18/93 10/19/93 10/20/93 10/21/93 10/22/93 10/25/93 10/26/93 10/27/93 10/28/93 10/29/93 11/01/93 11/03/93 11/04/93 11/05/93 11/08/93 11/09/93 11/10/93 11/11/93 11/12/93 11/16/93 11/17/93 11/18/93 11/19/93 11/22/93 11/23/93 11/24/93 11/25/93 11/26/93 11/29/93 11/30/93 12/01/93 12/02/93 12/03/93 12/06/93 12/07/93 12/08/93 12/09/93 12/10/93 12/13/93 12/14/93 12/15/93 12/16/93 12/20/93 12/21/93 12/22/93 12/23/93 12/24/93 Date year1 Date year1 Date year1 Date year1 Date year1 8809 93 Date month1 Date month1 Date month1 Date month1 Date month1 8809 8 9 10 11 12 Date day1 Date day1 Date day1 Date day1 Date day1 8809 1 31 16.537 8.4 Cluster number Cluster number Cluster number Cluster number Cluster number 8809 1 360 179.744 102.421 Household identification No Household identification No Household identification No Household identification No Household identification No 8796 1001 360017 179745.285 102449.457 1 :Code:Type of house 1 :Code:Type of house 1 :Code:Type of house 1 :Code:Type of house 1 :Code:Type of house 8796 -1 1 2 3 4 5 6 7 8 9 2a:Code:1st roof material 2a:Code:1st roof material 2a:Code:1st roof material 2a:Code:1st roof material 2a:Code:1st roof material 8796 -1 1 2 3 4 5 6 7 8 9 10 13 14 15 16 2a:Code:2nd roof material 2a:Code:2nd roof material 2a:Code:2nd roof material 2a:Code:2nd roof material 2a:Code:2nd roof material 8796 -2 -1 2 3 4 5 6 7 8 9 10 13 14 15 16 2a:Code:3rd roof material 2a:Code:3rd roof material 2a:Code:3rd roof material 2a:Code:3rd roof material 2a:Code:3rd roof material 8796 -2 -1 2 5 7 8 9 10 14 15 16 2b:Code:1st wall material 2b:Code:1st wall material 2b:Code:1st wall material 2b:Code:1st wall material 2b:Code:1st wall material 8796 -1 1 2 3 4 5 6 7 8 9 10 13 14 15 16 2b:Code:2nd wall material 2b:Code:2nd wall material 2b:Code:2nd wall material 2b:Code:2nd wall material 2b:Code:2nd wall material 8796 -2 -1 1 2 3 4 5 6 7 8 9 10 13 14 15 16 2b:Code:3rd wall material 2b:Code:3rd wall material 2b:Code:3rd wall material 2b:Code:3rd wall material 2b:Code:3rd wall material 8796 -2 -1 3 5 8 9 10 13 14 16 2c:Code:1st floor material 2c:Code:1st floor material 2c:Code:1st floor material 2c:Code:1st floor material 2c:Code:1st floor material 8796 -1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 2c:Code:2nd floor material 2c:Code:2nd floor material 2c:Code:2nd floor material 2c:Code:2nd floor material 2c:Code:2nd floor material 8796 -2 -1 1 2 3 5 6 8 9 10 11 12 13 14 16 2c:Code:3rd floor material 2c:Code:3rd floor material 2c:Code:3rd floor material 2c:Code:3rd floor material 2c:Code:3rd floor material 8796 -2 -1 1 3 10 11 12 13 16 3 :Total no of rooms 3 :Total no of rooms 3 :Total no of rooms 3 :Total no of rooms 3 :Total no of rooms 8796 -3 30 4.146 2.547 4 :No of rooms used 4 :No of rooms used 4 :No of rooms used 4 :No of rooms used 4 :No of rooms used 8796 -1 20 3.908 2.345 5 :Ownership 5 :Ownership 5 :Ownership 5 :Ownership 5 :Ownership 8796 -1 1 2 6 :Bonded or loan? 6 :Bonded or loan? 6 :Bonded or loan? 6 :Bonded or loan? 6 :Bonded or loan? 8796 -2 -1 1 2 7 :Amt owed on bond or loan 7 :Amt owed on bond or loan 7 :Amt owed on bond or loan 7 :Amt owed on bond or loan 7 :Amt owed on bond or loan 8796 -4 1058000 7637.105 28901.761 8 :Resale value of house 8 :Resale value of house 8 :Resale value of house 8 :Resale value of house 8 :Resale value of house 8796 -4 1500000 29821.418 74827.831 9a:Pay rent (Y/N)? 9a:Pay rent (Y/N)? 9a:Pay rent (Y/N)? 9a:Pay rent (Y/N)? 9a:Pay rent (Y/N)? 8796 -2 -1 1 2 9b:Monthly rent (actual) 9b:Monthly rent (actual) 9b:Monthly rent (actual) 9b:Monthly rent (actual) 9b:Monthly rent (actual) 8796 -4 3600 37.668 178.493 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 9c:Monthly rent (mkt) 8796 -4 2000 9.386 81.97 Cluster number Cluster number Cluster number Cluster number Cluster number 8796 1 360 179.721 102.455 :Household number :Household number :Household number :Household number :Household number 1302 6006 360002 258361.412 60799.792 1a:Crop land ownerhip type 1a:Crop land ownerhip type 1a:Crop land ownerhip type 1a:Crop land ownerhip type 1a:Crop land ownerhip type 1302 1 2 1b:Crop land ownerhip type 1b:Crop land ownerhip type 1b:Crop land ownerhip type 1b:Crop land ownerhip type 1b:Crop land ownerhip type 1302 -2 -1 1 2 3 4 2a:Graze land ownership type 2a:Graze land ownership type 2a:Graze land ownership type 2a:Graze land ownership type 2a:Graze land ownership type 1302 1 2 2b:Graze land ownership type 2b:Graze land ownership type 2b:Graze land ownership type 2b:Graze land ownership type 2b:Graze land ownership type 1302 -2 -1 1 2 3 4 3 :Land use 3 :Land use 3 :Land use 3 :Land use 3 :Land use 1302 -1 1 2 3 4 5 6 7 8 4 :Use of land for crops 4 :Use of land for crops 4 :Use of land for crops 4 :Use of land for crops 4 :Use of land for crops 1302 -4 8986 16.334 264.503 5a:Crops:land use last year 5a:Crops:land use last year 5a:Crops:land use last year 5a:Crops:land use last year 5a:Crops:land use last year 1302 -4 -2 -1 1 2 3 4 5 5b:Crops:land use in 1993 5b:Crops:land use in 1993 5b:Crops:land use in 1993 5b:Crops:land use in 1993 5b:Crops:land use in 1993 1302 -4 -2 -1 1 2 3 4 5 6 6a:Crops: water source (1) 6a:Crops: water source (1) 6a:Crops: water source (1) 6a:Crops: water source (1) 6a:Crops: water source (1) 1302 -2 -1 1 2 3 4 5 6 7 8 6a:Crops:water source (2) 6a:Crops:water source (2) 6a:Crops:water source (2) 6a:Crops:water source (2) 6a:Crops:water source (2) 1302 -2 -1 2 3 4 5 6 7 6a:Crops:water source (3) 6a:Crops:water source (3) 6a:Crops:water source (3) 6a:Crops:water source (3) 6a:Crops:water source (3) 1302 -2 -1 6 8 6b:Main source of water 6b:Main source of water 6b:Main source of water 6b:Main source of water 6b:Main source of water 1302 -2 -1 1 2 3 4 5 6 7 8 6c:Irrigation for crops 6c:Irrigation for crops 6c:Irrigation for crops 6c:Irrigation for crops 6c:Irrigation for crops 1302 -4 -2 -1 1 2 3 4 5 7 :Crops:rights to sell land 7 :Crops:rights to sell land 7 :Crops:rights to sell land 7 :Crops:rights to sell land 7 :Crops:rights to sell land 1302 -4 -2 -1 1 2 8a:Crops:size of saleable land 8a:Crops:size of saleable land 8a:Crops:size of saleable land 8a:Crops:size of saleable land 8a:Crops:size of saleable land 1297 5 -4 8986 8.995 252.663 8b:Crops:value of saleable land 8b:Crops:value of saleable land 8b:Crops:value of saleable land 8b:Crops:value of saleable land 8b:Crops:value of saleable land 1302 -4 1820000 6448.281 67905.343 9a:Crops:rent land to others 9a:Crops:rent land to others 9a:Crops:rent land to others 9a:Crops:rent land to others 9a:Crops:rent land to others 1302 -2 -1 1 2 9b:Crops:rent received 9b:Crops:rent received 9b:Crops:rent received 9b:Crops:rent received 9b:Crops:rent received 1302 -4 15000 34.187 573.836 10a:Crops:rent land from others 10a:Crops:rent land from others 10a:Crops:rent land from others 10a:Crops:rent land from others 10a:Crops:rent land from others 1302 -2 -1 1 2 10b:Crops:rent paid 10b:Crops:rent paid 10b:Crops:rent paid 10b:Crops:rent paid 10b:Crops:rent paid 1302 -4 56000 112.419 1780.744 11a:Grazing:water source (2) 11a:Grazing:water source (2) 11a:Grazing:water source (2) 11a:Grazing:water source (2) 11a:Grazing:water source (2) 1302 -2 -1 1 2 3 4 5 6 8 11a:Grazing:water source(1) 11a:Grazing:water source(1) 11a:Grazing:water source(1) 11a:Grazing:water source(1) 11a:Grazing:water source(1) 1302 -2 -1 2 3 4 5 6 8 11a:Grazing:water source(3) 11a:Grazing:water source(3) 11a:Grazing:water source(3) 11a:Grazing:water source(3) 11a:Grazing:water source(3) 1302 -2 -1 3 4 6 8 11b:Grazing: main water source 11b:Grazing: main water source 11b:Grazing: main water source 11b:Grazing: main water source 11b:Grazing: main water source 1302 -2 -1 1 2 3 4 5 6 7 8 12a:Grazing-rights to sell 12a:Grazing-rights to sell 12a:Grazing-rights to sell 12a:Grazing-rights to sell 12a:Grazing-rights to sell 1302 -2 -1 1 2 12b:Grazing:size of saleable la 12b:Grazing:size of saleable la 12b:Grazing:size of saleable la 12b:Grazing:size of saleable la 12b:Grazing:size of saleable la 1302 -4 8986 11.693 264.245 12c:Grazing:value of saleable l 12c:Grazing:value of saleable l 12c:Grazing:value of saleable l 12c:Grazing:value of saleable l 12c:Grazing:value of saleable l 1302 -4 1000000 3736.29 37389.665 13a:Grazing:rent land to others 13a:Grazing:rent land to others 13a:Grazing:rent land to others 13a:Grazing:rent land to others 13a:Grazing:rent land to others 1302 -2 -1 1 2 13b:Grazing:rent received 13b:Grazing:rent received 13b:Grazing:rent received 13b:Grazing:rent received 13b:Grazing:rent received 1302 -4 8036 16.63 336.325 14a:Grazing:rent land from othe 14a:Grazing:rent land from othe 14a:Grazing:rent land from othe 14a:Grazing:rent land from othe 14a:Grazing:rent land from othe 1302 -2 -1 1 2 14b Grazing:rent paid 14b Grazing:rent paid 14b Grazing:rent paid 14b Grazing:rent paid 14b Grazing:rent paid 1299 3 -4 18000 38.824 798.144 Same Household ? Same Household ? Same Household ? Same Household ? Same Household ? 1302 Cluster number Cluster number Cluster number Cluster number Cluster number 1302 6 360 258.343 60.798 cluster number cluster number cluster number cluster number cluster number 334 1 360 179.751 105.531 1a: economic activity- one 1a: economic activity- one 1a: economic activity- one 1a: economic activity- one 1a: economic activity- one 328 6 1 2 3 4 5 6 8 9 10 11 12 13 14 15 16 Sysmiss 1b: economic activity- two 1b: economic activity- two 1b: economic activity- two 1b: economic activity- two 1b: economic activity- two 285 49 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 1c: economic activity- three 1c: economic activity- three 1c: economic activity- three 1c: economic activity- three 1c: economic activity- three 241 93 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 1d: economic activity- four 1d: economic activity- four 1d: economic activity- four 1d: economic activity- four 1d: economic activity- four 187 147 -1 1 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 2 : tarred or dirt roads 2 : tarred or dirt roads 2 : tarred or dirt roads 2 : tarred or dirt roads 2 : tarred or dirt roads 333 1 1 2 3 4 5 Sysmiss 3 : impassable roads 3 : impassable roads 3 : impassable roads 3 : impassable roads 3 : impassable roads 331 3 1 2 Sysmiss 4 : duration of impassable road 4 : duration of impassable road 4 : duration of impassable road 4 : duration of impassable road 4 : duration of impassable road 128 206 12 2.771 2.649 Household identification No Household identification No Household identification No Household identification No Household identification No 8804 1001 360017 179773.479 102409.355 :Person code of respondent :Person code of respondent :Person code of respondent :Person code of respondent :Person code of respondent 8804 -3 18 1.818 1.202 1 :Level of satisfaction 1 :Level of satisfaction 1 :Level of satisfaction 1 :Level of satisfaction 1 :Level of satisfaction 8804 -3 -1 1 2 3 4 5 3a:Code:1st choice 3a:Code:1st choice 3a:Code:1st choice 3a:Code:1st choice 3a:Code:1st choice 8804 -4 26 5.041 5.972 3a:Rank 1 3a:Rank 1 3a:Rank 1 3a:Rank 1 3a:Rank 1 8804 -1 1 2 3 3b:Code:2nd choice 3b:Code:2nd choice 3b:Code:2nd choice 3b:Code:2nd choice 3b:Code:2nd choice 8804 -4 27 8.82 5.844 3b:Rank 2 3b:Rank 2 3b:Rank 2 3b:Rank 2 3b:Rank 2 8804 -1 1 2 3 3c:Code:3rd choice 3c:Code:3rd choice 3c:Code:3rd choice 3c:Code:3rd choice 3c:Code:3rd choice 8804 -4 27 12.049 6.629 3c:RANK 3 3c:RANK 3 3c:RANK 3 3c:RANK 3 3c:RANK 3 8804 -1 1 2 3 4 :Safety inside home 4 :Safety inside home 4 :Safety inside home 4 :Safety inside home 4 :Safety inside home 8804 -4 -3 -1 1 2 3 5 :Safety outside home 5 :Safety outside home 5 :Safety outside home 5 :Safety outside home 5 :Safety outside home 8804 -4 -3 -1 1 2 3 6a:Victim of crime 6a:Victim of crime 6a:Victim of crime 6a:Victim of crime 6a:Victim of crime 8804 -1 1 2 6b:(1) Assault 6b:(1) Assault 6b:(1) Assault 6b:(1) Assault 6b:(1) Assault 8804 -2 -1 1 2 6b:(2) Robbery 6b:(2) Robbery 6b:(2) Robbery 6b:(2) Robbery 6b:(2) Robbery 8804 -2 -1 1 2 6b:(3) Rape 6b:(3) Rape 6b:(3) Rape 6b:(3) Rape 6b:(3) Rape 8804 -2 -1 1 2 6b:(4) Murder 6b:(4) Murder 6b:(4) Murder 6b:(4) Murder 6b:(4) Murder 8804 -2 -1 1 2 6b:(5) Abduction 6b:(5) Abduction 6b:(5) Abduction 6b:(5) Abduction 6b:(5) Abduction 8804 -2 -1 1 2 6b:(6) Other 6b:(6) Other 6b:(6) Other 6b:(6) Other 6b:(6) Other 8804 -2 -1 1 2 7 :Compared with parents 7 :Compared with parents 7 :Compared with parents 7 :Compared with parents 7 :Compared with parents 8804 -4 -1 1 2 3 8 :Effect of new government 8 :Effect of new government 8 :Effect of new government 8 :Effect of new government 8 :Effect of new government 8804 -4 -3 -1 1 2 3 Cluster number Cluster number Cluster number Cluster number Cluster number 8804 1 360 179.75 102.415 :Cluster Number :Cluster Number :Cluster Number :Cluster Number :Cluster Number 358 1 360 180.293 104.321 8:Population 8:Population 8:Population 8:Population 8:Population 358 596632 33989.52 95618.327 9:Type 9:Type 9:Type 9:Type 9:Type 358 1 3 Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural 358 1 2 3 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 10:Survey Organisation 358 1 2 3 4 5 6 7 8 9 Province Province Province Province Province 358 1 2 3 4 5 6 7 8 9 10 11 12 13 14 New Province New Province New Province New Province New Province 358 1 2 3 4 5 6 7 8 9 New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code New Magesterial Code 358 1 4006 654.251 749.983 Total number of People Total number of People Total number of People Total number of People Total number of People 355 3 3 120 24.814 11.991 Total number of Residents Total number of Residents Total number of Residents Total number of Residents Total number of Residents 355 3 3 120 24.814 11.991 Total number of Households Total number of Households Total number of Households Total number of Households Total number of Households 355 3 8 346 123.062 52.335 Total number of Resident Househ Total number of Resident Househ Total number of Resident Househ Total number of Resident Househ Total number of Resident Househ 355 3 8 294 112.845 45.447 Average Household Size All Average Household Size All Average Household Size All Average Household Size All Average Household Size All 355 3 1 11.842 5.331 1.92 Average Household Size Resident Average Household Size Resident Average Household Size Resident Average Household Size Resident Average Household Size Resident 355 3 1 9.316 4.871 1.553 Household identification No Household identification No Household identification No Household identification No Household identification No 8809 1001 360017 179767.71 102415.701 19 :Population Group 19 :Population Group 19 :Population Group 19 :Population Group 19 :Population Group 8809 1 2 3 4 21 :Language code 21 :Language code 21 :Language code 21 :Language code 21 :Language code 8809 1 2 3 4 5 6 7 8 9 10 11 12 9:Type 9:Type 9:Type 9:Type 9:Type 8809 1 3 Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural Metro - Urban - Rural 8809 1 2 3 Province Province Province Province Province 8809 1 2 3 4 5 6 7 8 9 10 11 12 13 14 New Province New Province New Province New Province New Province 8809 1 2 3 4 5 6 7 8 9 Enumeration Weights Enumeration Weights Enumeration Weights Enumeration Weights Enumeration Weights 8809 1 2 Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights 8809 824 1532 964.47 132.861 Census Reaised Weights Census Reaised Weights Census Reaised Weights Census Reaised Weights Census Reaised Weights 8809 465 7833 1032.278 250.34 Cluster number Cluster number Cluster number Cluster number Cluster number 8809 1 360 179.744 102.421 31 1 2 3 4 5 6 7 8 9 10 11 12 13 14 31 1 2 3 4 5 Census Population Census Population Census Population Census Population Census Population 31 6647448 1293987.097 1690687.929 Enumeration Number of Household Enumeration Number of Household Enumeration Number of Household Enumeration Number of Household Enumeration Number of Household 31 1898 308.742 421.187 Enumeration Number of raised In Enumeration Number of raised In Enumeration Number of raised In Enumeration Number of raised In Enumeration Number of raised In 31 5904753 1232568.387 1628898.679 Number of Actual Households Number of Actual Households Number of Actual Households Number of Actual Households Number of Actual Households 31 1 1652 284.258 380.085 Number of Actual Raised Individ Number of Actual Raised Individ Number of Actual Raised Individ Number of Actual Raised Individ Number of Actual Raised Individ 31 3566 5804610 1158428.226 1543955.607 Enumeration Weights Enumeration Weights Enumeration Weights Enumeration Weights Enumeration Weights 31 1 2 Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights Enumeration Raised Weights 31 824 1532 953.871 156.873 Census Weights Census Weights Census Weights Census Weights Census Weights 31 1 2 9 Census Reaised Weights Census Reaised Weights Census Reaised Weights Census Reaised Weights Census Reaised Weights 31 465 7833 1269.71 1260.089