TZA-NBS-HBS-2007-v01 NATIONAL BUREAU OF STATISTICS Accelerated Data Program <_value> NADA Version 1.0 National Household Budget Survey 2007 HBS 2007 TZA-NBS-HBS-2007-v01 NATIONAL BUREAU OF STATISTICS

ALDEGUNDA KOMBA

IRENIUS RUYOBYA

GREGORY MILLINGA

ELIDE MWANRI

STEPHEN. G .COSMAS

STEPHEN MAGANDA

SANGO SIMBA

FRED MATOLA

GABRIEL SIMBILA

 CENSUS AND SURVEY TECHNICAL WORKING GROUP MR.PATRICK WARD MS.TUDY OWENS MS. ELLEONORA FICHERA EMILIAN KARUGENDO AHMED MAKBEL SWISS DEVELOPMENT COOPERATION @ 2010 NATIONAL BUREAU OF STATISTICS NADA SWISS DEVELOPMENT COOPERATION CENSUS AND SURVEY WORKING GROUP MKUKUTA Director General Income/Expenditure/Household Survey [hh/ies] Version 1.0 ECONOMICS ECONOMICS [1] This report presents the findings of the 2007 Tanzania Household Budget Survey (HBS), which covered Mainland Tanzania. The analysis focuses on poverty-relevant indicators, including those defined in the Government’s five year programme for economic and social development; the National Strategy for Growth and Reduction of Poverty (NSGRP), commonly referred to by its Kiswahili acronym, MKUKUTA. The HBS collected information on a range of individual and household characteristics. These included • Household members’ education, economic activities, and health status • Household expenditure, consumption and income • Ownership of consumer goods and assets • Housing structure and materials • Distance to services and facilities • Food security. TANZANIA TANZANIA MAINLAND CLUSTERS Individual and Household The survey covered all de jure household members Sample survey data [ssd] The Scope of Household Budget Survey is; Identification Particulars, Household Particulars, Household Facilities, Housing Particulars, Distances to Socio-Economic Facilities, Purchase of Durable Items and other Services, Household Assets, Food Security, Annual Household Income, Daily Consumption Expenditure NATIONAL BUREAU OF STATISTICS The sample was based on a revised national master sample that has been developed out of the 2002 Census information. For the 2007 HBS, the national master sample provided the primary sampling units (PSUs) for the national urban and rural sample. It was supplemented with additional PSUs to provide a regional sample for Dar es Salaam, so that the survey provides estimates for Dar es Salaam region, other urban areas and rural areas. Primary sampling units were selected using probability proportional to size, with the number of household recorded in the Census preparatory estimates being the measures of size. A comprehensive household listing was undertaken in each of the sampled clusters. Information on a number of durable assets was collected for each household during the listing exercise. This information was used to stratify households within each cluster into high, middle and low income households. Separate proportional samples were then drawn from each of these categories. The sample selection was done in the head office and each regional supervisor was supplied with their respective list of pre-selected households. Face-to-face [f2f] The questionnaires contain information related to;Household Particulars, Household Facilities, Household Assets, Household Income, Distance to socio-Economic Facilities, Purchase of Durable items and other Services,Food security; The most recent round of the National Bureau of Statistic’s household budget surveys was undertaken in 2007. It followed similar surveys in 2000/01 and 1991/92. Preparations for the 2007 HBS began in July 2006 and field staff were trained in December of that year. Data collection began on the 1st of January 2007 in all 21 regions of Mainland Tanzania. The field work continued for 12 months and was complete by December 31st 2007. The sample was smaller than the 2000/01 HBS. This is because the 2000/01 HBS provided separate estimates for each of the regions of Mainland Tanzania, whereas the 2007 survey was not intended to provide that level of disaggregation. The 2007 HBS had an intended sample of 448 clusters (villages or census enumeration areas) and 10,752 households. The fieldwork was conducted in the same way as the 2000/01 HBS. Two households in each cluster were enumerated in each calendar month. Therefore, over the course of the survey, 24 households were to be interviewed per cluster. Enumerators, who were residents in or near the cluster, conducted an initial interview with the two households at the beginning of the survey month. They then visited households on a regular basis during that month for the purpose of recording households’ daily transactions, covering expenditure, consumption and income. These visits were scheduled to be daily for the households without any literate member and every two to three days for others. Field work supervision was mainly done by NBS staff in regional offices. Regional supervisors collected and checked completed questionnaires before sending them to the head office in Dar es Salaam for data entry. They also observed a sample of interviews. The data entry, using CSPro, went on in parallel with field work and was completed in March 2008. Data consistency checks were developed to identify any inconsistencies in the entered data and errors were corrected by referring to the original questionnaire. Data cleaning continued until July 2008 and the analysis was completed by mid-November 2008. The most recent round of the National Bureau of Statistic’s household budget surveys was undertaken in 2007. It followed similar surveys in 2000/01 and 1991/92. Preparations for the 2007 HBS began in July 2006 and field staff were trained in December of that year. Data collection began on the 1st of January 2007 in all 21 regions of Mainland Tanzania. The field work continued for 12 months and was complete by December 31st 2007.Field work supervision was mainly done by NBS staff in regional offices. Regional supervisors collected and checked completed questionnaires before sending them to the head office in Dar es Salaam for data entry. They also observed a sample of interviews. Table 1.1 shows the resulting sample sizes in each of the analytical areas and compares them to the previous HBS. Table 1.1 Number of Primary Sampling Units and Households included in the analysis (HBS 2000/01 and HBS 2007) 2000/01 2007 DSM Other Urban Rural Total DSM Other Urban Rural Total Number of clusters 57 566 535 1,158 152 158 137 447 Number of households 1,225 13,384 7,569 22,178 3,456 3,737 3,273 10,466 Analytical weights were defined as the inverse of each household’s selection probability, taking into account the selection of the primary sampling units and stratification within each PSU. The weights were adjusted so that the sum of individuals by area was equal to its projected population for 2007. In some cases this adjustment was quite large, raising concerns about the listing process. Details of the sampling process and weights are given in Appendix A1. The 2007 HBS has some 75 percent of the population in rural areas, compared with 80 percent in the 2000/01 HBS. This fall in the proportion rural will be driven by urban growth and by the re-classification of areas as urban. The latter may be substantial because the 2000/01 HBS used a sample frame based on the 1988 census. One result is that indicators for the population as a whole may be observed to improve between surveys even when there is little apparent change within each area, simply because the overall population is more urban. Dar es Salaam constitutes 7.5 percent of the 2007 sample and around 6 percent of the 2000/01 sample. These issues are discussed in more detail in Appendix A1 Data consistency checks were developed to identify any inconsistencies in the entered data and errors were corrected by referring to the original questionnaire. Data cleaning continued until July 2008 and the analysis was completed by mid-November 2008. In total, the analysis includes 10,466 households and 447 of the intended 448 clusters. This is over 97 percent of the original intended sample size of 10,752 households. However, of the households included in the analysis, 13 percent were interviewed as reserve (replacement) households after the originally selected ones could not be found, a similar proportion to 2000/01. Replacements were particularly high in Dar es Salaam, where they constituted almost 19 percent of the sample analysed. Replacement is not usually considered a good practice because of the risk of introducing bias into the sample. This was minimised in the survey because households used as replacements had similar characteristics to those being replaced, although its frequency in Dar es Salaam raises concerns In order to ease readability of the tables in this report, the sample size on which the estimates are based is not stated. However, estimates are based on more than 150 observations, unless indicated; usually they are based on many more. Sampling errors and confidence intervals are presented for some key variables in Appendix A1. Confidentiality of respodents is guaranteed by section 20 of Tanzania Statistics act number 1 of 2002 Before being granted access to the dataset, all users have formally agree: 1.all identifying information such as the name and address of respondent has been removed; and 2.the information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which it relates. 3.not attempt to identify any particular person or undertaking or business; 4.use of information for research or statistically purpose only; 5.not to disclose the information to any other person, organization 6.when required by the Director General, return all documents made available to him to the Director General; 7.comply with the directions given by the Director General relating to the records. 8.every person involved in the research or statistical project for which information is disclosed pursuant to this section shall make the declaration of secrecy set out in the first schedule. NATIONAL BUREAU OF STATISTICS "NATIONAL BUREAU OF STATISTICS, HOUSEHOLD BUDGET SURVEY 2007 (HBS 2007) VERSION 1.0 OF THE PUBLIC USE DATASET(MAY 2009) PROVIDED BY NATIONAL BUREAU OF STATISTICS, www.nbs.go.tz" Tanzania NBS considered three levels of accessibility: 1) Public use files, accessible by all 2) Licensed datasets, accessible under certain conditions 3) Datasets only accessible on location, for certain datasets The dataset has been anonymized and available as a public use dataset. It accessible to all for statistical and research purposes only, under the following terms and conditions: 1.The data and other material will not be redistributed or sold to other individuals, institutions, or organization without the written agreement of the National Bureau of Statistics. 2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 3.No attempt will be made to produce links among dataset provided by the National Bureau of Statistics, or among data from the (National Bureau of Statistics) and other datasets that could identify individuals or organizations 4.No attempt will be made to re-identify respondents, and no use will be made of the identify of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics. 5.Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset. The user of the data acknowledges that National Bureau of Statistics is the origional collector of thedata.the authorized distributor of the data.and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences without a written agreement from the National Bureau of statistics. EXPORT1_1 This data file contains information related to Household facilities, Bussiness, Assets,Food consumption, Income and Expenditure 0 79 EXPORT2_1 This data file contains information related to Household information, Economic activities and Health 0 77 EXPORT3_1 This data file contains information related to Housing Particulars 0 31 EXPORT4_1 This data file contains information related to Distances to Socio-Economic Facilities 0 20 EXPORT5_1 This data file contains information related to purchase of durable items and other services 0 7 EXPORT6_1 This data file contains information related to Household assets 0 19 EXPORT7_1 This data file contains information related to Household income 0 6 EXPORT8 This data file contains information related to household expenditure 0 8 HEALTH EDUCATION HOUSEHOLD FACILITIES HOUSEHOLD LOAN AND SAVING HOUSEHOLD ASSETS HOUSEHOLD MATERIAL HOUSEHOLD CONSUMPTION DISTANCE TO SOCIO-ECONOMIC FACILITIES HOUSEHOLD INCOME AND EXPENDITURE Household ID Household ID Household ID Household ID Household ID Final household weight Final household weight Final household weight Final household weight Final household weight Urban or rural Urban or rural Urban or rural Urban or rural Urban or rural 1 Urban 2 Rural national sample or not national sample or not national sample or not national sample or not national sample or not No 1 Yes 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA 1 Dar es Salaam 2 Other urban areas 4 Rural areas PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported District District District District District Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) 1 HIGH 2 MIDDLE 3 LOW Enummeration area Enummeration area Enummeration area Enummeration area Enummeration area Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH 1 SELECTED 2 RESERVED Household number in the village Household number in the village Household number in the village Household number in the village Household number in the village HH total members HH total members HH total members HH total members HH total members Survey month Survey month Survey month Survey month Survey month 1 JANUARY 2 FEBRUARY 3 MARCH 4 APRIL 5 MAY 6 JUNE 7 JULY 8 AUGUST 9 SEPTEMBER 10 OCTOBER 11 NOVEMBER 12 DECEMBER Survey year Survey year Survey year Survey year Survey year Result of the interview Result of the interview Result of the interview Result of the interview Result of the interview 1 COMPLETED INTERV 2 NO ONE AT HOME 3 INFORMANT NOT AT 4 INFORMANT BUSY 5 NOT COOPEARATIVE 6 INCOMPLETE INTER 7 OTHER 8 *never received from fieldwork 9 *received but lost in DP station Field interviewer Field interviewer Field interviewer Field interviewer Field interviewer Field supervisor Field supervisor Field supervisor Field supervisor Field supervisor Office editor Office editor Office editor Office editor Office editor Data entry station Data entry station Data entry station Data entry station Data entry station Water supply for drinking Water supply for drinking Water supply for drinking Water supply for drinking Water supply for drinking Main drinking water supply Household 1 Priv. in house 2 Priv. outside 3 Neighbour 4 In community 5 Rain catchment 6 Pub. well protec 7 Pub well un prot 8 Priv well protec 9 Priv well un pro 10 Spring protected 11 Spring un protec 12 River,dam lake 13 Orther 99 NS Main grid Electricity Main grid Electricity Main grid Electricity Main grid Electricity Main grid Electricity Electricity from public utility? Household 1 Yes 2 No 9 Not stated Solar Electricity Solar Electricity Solar Electricity Solar Electricity Solar Electricity Solar electricity? Household 1 Yes 2 No 9 Not stated Fuel for cooking Fuel for cooking Fuel for cooking Fuel for cooking Fuel for cooking Major fuel used for cooking? Household 1 Electricity 2 Solar 3 Gas(Industrial) 4 Gas(Bio gas) 5 Paraffin 6 Coal 7 Charcoal 8 Firewood 9 Others 99 Not stated Fuel for lighting Fuel for lighting Fuel for lighting Fuel for lighting Fuel for lighting Major fuel used for lighting? Household 1 Electricity 2 Solar 3 Gas Biogas 4 Paraffin 5 Candles 6 Firewood 7 Other 9 Not stated Toilet facilities Toilet facilities Toilet facilities Toilet facilities Toilet facilities Toilet facilities? 1 No toilet 2 Flush toilet 3 Pit Latrine 4 VIP 5 Other 9 Not stated Cooling facilities Cooling facilities Cooling facilities Cooling facilities Cooling facilities Cooling facilities? Household 1 None 2 Fan 3 Air condition 4 Air cond & fan 5 Other 9 Not stated Heating facilities Heating facilities Heating facilities Heating facilities Heating facilities Heating facilities? Household 1 None 2 Heater 3 Firewood 4 Other 9 Not stated Garbage disposal Garbage disposal Garbage disposal Garbage disposal Garbage disposal How do you dispose your garbage? household 1 Rubish pit insid 2 Rubish pit outsi 3 Rubish bin 4 Thrown inside 5 Thrown Outside 6 Other 9 Not stated Improved housing condition in last 12 months Improved housing condition in last 12 months Improved housing condition in last 12 months Improved housing condition in last 12 months Improved housing condition in last 12 months During the last 12 month did you improve your housing condition? Household 1 Yes 2 No 9 Not stated Amount spent in improvement Amount spent in improvement Amount spent in improvement Amount spent in improvement Amount spent in improvement How much did you spend on improvement? Household Reason for not improve Reason for not improve Reason for not improve Reason for not improve Reason for not improve Reason for not improve? Household 1 No need 2 No money 3 No time 4 Other 8 Not Applicable 9 Not stated Household Business #1 Household Business #1 Household Business #1 Household Business #1 Household Business #1 What kind of business do the household have? Household 1 Unknown 2 Advertising agent 3 agent for a foreign firm 4 Builders and constructors 5 Cinema and Theatre 6 Bakery 7 Brick maker 8 Butchery 9 Chemists and apothecary 10 Coffee,tea-room 11 Clock and watches dealers 12 Wood dealer 13 Charcoal dealer 15 Publishers 16 Dairy 17 Dealer in buildng materials 18 Dealer in electrical applainces 19 Dealer in furniture 20 Dealer in agricultural inputs 21 Dealer in stationaries 22 Dealer in footwear 23 Dealer in sports-wear 24 Dealer in textiles 25 General agent 26 Fruits and vegetables 27 Fish monger 28 Grocery (Dealer in consumer goods 29 Shop (Dealer in goods,clothes,footwear,etc) 30 Supermarket 31 Miller 32 Motor dealer 33 Motor garage 34 Photographic studio 35 Restaurant 36 Kiosk 37 Laundry,dry cleaner 38 wholesellers 39 General dealer 40 Cash cropping farmers 41 Import and Export 42 Bar 43 Hotel 44 Transport (pick-up,truck& lorries) 45 Tailors and dress makers 46 Knitting 47 Renting of houses 48 Taxi 49 Fishing 50 Barber/hair dressing 51 Hawker 52 Food vendors 53 Others 98 Not applicable 99 Not stated Household Business #2 Household Business #2 Household Business #2 Household Business #2 Household Business #2 What kind of business do the household have? Household 1 Unknown 2 Advertising agent 3 agent for a foreign firm 4 Builders and constructors 5 Cinema and Theatre 6 Bakery 7 Brick maker 8 Butchery 9 Chemists and apothecary 10 Coffee,tea-room 11 Clock and watches dealers 12 Wood dealer 13 Charcoal dealer 15 Publishers 16 Dairy 17 Dealer in buildng materials 18 Dealer in electrical applainces 19 Dealer in furniture 20 Dealer in agricultural inputs 21 Dealer in stationaries 22 Dealer in footwear 23 Dealer in sports-wear 24 Dealer in textiles 25 General agent 26 Fruits and vegetables 27 Fish monger 28 Grocery (Dealer in consumer goods 29 Shop (Dealer in goods,clothes,footwear,etc) 30 Supermarket 31 Miller 32 Motor dealer 33 Motor garage 34 Photographic studio 35 Restaurant 36 Kiosk 37 Laundry,dry cleaner 38 wholesellers 39 General dealer 40 Cash cropping farmers 41 Import and Export 42 Bar 43 Hotel 44 Transport (pick-up,truck& lorries) 45 Tailors and dress makers 46 Knitting 47 Renting of houses 48 Taxi 49 Fishing 50 Barber/hair dressing 51 Hawker 52 Food vendors 53 Others 98 Not applicable 99 Not stated Household Business #3 Household Business #3 Household Business #3 Household Business #3 Household Business #3 What kind of business do the household have? Household 1 Unknown 2 Advertising agent 3 agent for a foreign firm 4 Builders and constructors 5 Cinema and Theatre 6 Bakery 7 Brick maker 8 Butchery 9 Chemists and apothecary 10 Coffee,tea-room 11 Clock and watches dealers 12 Wood dealer 13 Charcoal dealer 15 Publishers 16 Dairy 17 Dealer in buildng materials 18 Dealer in electrical applainces 19 Dealer in furniture 20 Dealer in agricultural inputs 21 Dealer in stationaries 22 Dealer in footwear 23 Dealer in sports-wear 24 Dealer in textiles 25 General agent 26 Fruits and vegetables 27 Fish monger 28 Grocery (Dealer in consumer goods 29 Shop (Dealer in goods,clothes,footwear,etc) 30 Supermarket 31 Miller 32 Motor dealer 33 Motor garage 34 Photographic studio 35 Restaurant 36 Kiosk 37 Laundry,dry cleaner 38 wholesellers 39 General dealer 40 Cash cropping farmers 41 Import and Export 42 Bar 43 Hotel 44 Transport (pick-up,truck& lorries) 45 Tailors and dress makers 46 Knitting 47 Renting of houses 48 Taxi 49 Fishing 50 Barber/hair dressing 51 Hawker 52 Food vendors 53 Others 98 Not applicable 99 Not stated Main source of cash income Main source of cash income Main source of cash income Main source of cash income Main source of cash income Which is the household main source of cash income? Household 1 Sales of food crops 2 Sales of livestock 3 Sales of livestock products 4 Sales of cash crops 5 Business income 6 Wages or salaries in cash 7 Other casual cash earning 8 Cash remittances 9 Fishing 10 Other 99 Not stated Any member operate saving/current account Any member operate saving/current account Any member operate saving/current account Any member operate saving/current account Any member operate saving/current account Does any member of this household operate a saving or current acount? Household 1 Yes 2 No 9 Not stated Saving or current account/1st member # Saving or current account/1st member # Saving or current account/1st member # Saving or current account/1st member # Saving or current account/1st member # Does any member of this household operate a saving or current acount? Household Saving or current account/2nd member # Saving or current account/2nd member # Saving or current account/2nd member # Saving or current account/2nd member # Saving or current account/2nd member # Does any member of this household operate a saving or current acount? Household Saving or current account/3rd member # Saving or current account/3rd member # Saving or current account/3rd member # Saving or current account/3rd member # Saving or current account/3rd member # Does any member of this household operate a saving or current acount? Household Saving or current account/4th member # Saving or current account/4th member # Saving or current account/4th member # Saving or current account/4th member # Saving or current account/4th member # Does any member of this household operate a saving or current acount? Household Bank loan last year Bank loan last year Bank loan last year Bank loan last year Bank loan last year Has any member of the household taken a bank loan during the last 12 month? Household 1 Yes 2 No 9 Ns Bank loan/1st member # Bank loan/1st member # Bank loan/1st member # Bank loan/1st member # Bank loan/1st member # Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/1st member, Amount taken TSh Bank loan/1st member, Amount taken TSh Bank loan/1st member, Amount taken TSh Bank loan/1st member, Amount taken TSh Bank loan/1st member, Amount taken TSh Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/2nd member # Bank loan/2nd member # Bank loan/2nd member # Bank loan/2nd member # Bank loan/2nd member # Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/2nd member, Amount taken TSh Bank loan/2nd member, Amount taken TSh Bank loan/2nd member, Amount taken TSh Bank loan/2nd member, Amount taken TSh Bank loan/2nd member, Amount taken TSh Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/3rd member # Bank loan/3rd member # Bank loan/3rd member # Bank loan/3rd member # Bank loan/3rd member # Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/3rd member, Amount taken TSh Bank loan/3rd member, Amount taken TSh Bank loan/3rd member, Amount taken TSh Bank loan/3rd member, Amount taken TSh Bank loan/3rd member, Amount taken TSh Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/4th member # Bank loan/4th member # Bank loan/4th member # Bank loan/4th member # Bank loan/4th member # Has any member of the household taken a bank loan during the last 12 month? Household Bank loan/4th member, Amount taken TSh Bank loan/4th member, Amount taken TSh Bank loan/4th member, Amount taken TSh Bank loan/4th member, Amount taken TSh Bank loan/4th member, Amount taken TSh Has any member of the household taken a bank loan during the last 12 month? Household Informal savings group Informal savings group Informal savings group Informal savings group Informal savings group Does any member participate in an informal saving group system? Household 1 Yes 2 No 9 Ns Non-bank savings Non-bank savings Non-bank savings Non-bank savings Non-bank savings Does any member participate in any formal saving group other than bank? Household 1 Yes 2 No 9 Ns Farming land owned this year in acres Farming land owned this year in acres Farming land owned this year in acres Farming land owned this year in acres Farming land owned this year in acres How many acres of land for farming/pastoralism owned by household this year? Household Farming land owned last year in acres Farming land owned last year in acres Farming land owned last year in acres Farming land owned last year in acres Farming land owned last year in acres How many acres of land for farming/pastoralism were owned by household last year? Household Using non-owned land Using non-owned land Using non-owned land Using non-owned land Using non-owned land How many acres of land for farming/pastoralism that it does not own this year? Household 1 No 2 Rented 3 Sharecropped 4 Private land provided free 5 Open access land Land used for farming and not owned this year in acres Land used for farming and not owned this year in acres Land used for farming and not owned this year in acres Land used for farming and not owned this year in acres Land used for farming and not owned this year in acres How many acres of land do the household use that does not own this year? Household Land used for farming and not owned last year in acres Land used for farming and not owned last year in acres Land used for farming and not owned last year in acres Land used for farming and not owned last year in acres Land used for farming and not owned last year in acres How many acres of land do the household use that does not own last year? Household Cattle & livestock heads this year Cattle & livestock heads this year Cattle & livestock heads this year Cattle & livestock heads this year Cattle & livestock heads this year How many head of cattle and other large livestock were owned by household this year? Household Cattle & livestock heads last year Cattle & livestock heads last year Cattle & livestock heads last year Cattle & livestock heads last year Cattle & livestock heads last year How many head of cattle and other large livestock were owned by household last year? Household Sheeps, goats ... this year Sheeps, goats ... this year Sheeps, goats ... this year Sheeps, goats ... this year Sheeps, goats ... this year How many sheep and goat and other medium sized animals were owned by household this year? Household Sheeps, goats ... last year Sheeps, goats ... last year Sheeps, goats ... last year Sheeps, goats ... last year Sheeps, goats ... last year How many sheep and goat and other medium sized animals were owned by household last year? Household Usual meals per day Usual meals per day Usual meals per day Usual meals per day Usual meals per day How many meals does your Household usually have per day? Household Past 30 days: fewer meals than usual? Past 30 days: fewer meals than usual? Past 30 days: fewer meals than usual? Past 30 days: fewer meals than usual? Past 30 days: fewer meals than usual? In the past 30 days has your Household ever had fewer meals than this usual number? Household 1 Yes 2 No 9 Ns Less meals - how many days? Less meals - how many days? Less meals - how many days? Less meals - how many days? Less meals - how many days? If yes how many days? Household Days in past week consumed Meat Days in past week consumed Meat Days in past week consumed Meat Days in past week consumed Meat Days in past week consumed Meat In the past week how many days did the Household consume the following? Household Days in past week consumed Fish Days in past week consumed Fish Days in past week consumed Fish Days in past week consumed Fish Days in past week consumed Fish In the past week how many days did the Household consume the following? Household Days in past week consumed Eggs Days in past week consumed Eggs Days in past week consumed Eggs Days in past week consumed Eggs Days in past week consumed Eggs In the past week how many days did the Household consume the following? Household Days in past week consumed Milk/Dairy Days in past week consumed Milk/Dairy Days in past week consumed Milk/Dairy Days in past week consumed Milk/Dairy Days in past week consumed Milk/Dairy In the past week how many days did the Household consume the following? Household Days in past week consumed Beans/Legumes Days in past week consumed Beans/Legumes Days in past week consumed Beans/Legumes Days in past week consumed Beans/Legumes Days in past week consumed Beans/Legumes In the past week how many days did the Household consume the following? Household Problems satifying food need Problems satifying food need Problems satifying food need Problems satifying food need Problems satifying food need How often in the last year did you have problems of satisfing the food need of the Household? Household 1 Never 2 Seldom 3 Sometimes 4 Often 5 Always Household situation with one year ago Household situation with one year ago Household situation with one year ago Household situation with one year ago Household situation with one year ago How do you compare the overall economic situation of the Household with one year ago? Household 1 Much worse now 2 A little worse now 3 Same 4 A little better now 5 Much better now 6 DK 9 NS Community situation with one year ago Community situation with one year ago Community situation with one year ago Community situation with one year ago Community situation with one year ago How do you compare the overall economic situation of the Community with one year ago? Household 1 Much worse now 2 A little worse now 3 Same 4 A little better now 5 Much better now 6 DK 9 NS Household situation compared with the other households Household situation compared with the other households Household situation compared with the other households Household situation compared with the other households Household situation compared with the other households How does this Household compare with others in the Community? Household 1 Much worse now 2 A little worse now 3 Same 4 A little better now 5 Much better now 6 DK 9 NS Included in final sample Included in final sample Included in final sample Included in final sample Included in final sample safe water safe water safe water safe water safe water 1 Yes 2 No` s32q02a = 1 | s32q02b = 1 (FILTER) s32q02a = 1 | s32q02b = 1 (FILTER) s32q02a = 1 | s32q02b = 1 (FILTER) s32q02a = 1 | s32q02b = 1 (FILTER) s32q02a = 1 | s32q02b = 1 (FILTER) Not Selected 1 Selected 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA All Adults All Adults All Adults All Adults All Adults Children aged 7 - 13 in country Children aged 7 - 13 in country Children aged 7 - 13 in country Children aged 7 - 13 in country Children aged 7 - 13 in country No. of household members 5+ yrs No. of household members 5+ yrs No. of household members 5+ yrs No. of household members 5+ yrs No. of household members 5+ yrs Household Members Household Members Household Members Household Members Household Members Household Size Household Size Household Size Household Size Household Size 1 One 2 Two 3 Three 4 Four 5 Five 6 Six 7 Seven 8 Eight 9 Nine Plus 10 Ten 11 Eleven 12 Twelve Plus Final household weight Final household weight Final household weight Final household weight Final household weight Urban or rural Urban or rural Urban or rural Urban or rural Urban or rural 1 Urban 2 Rural national sample or not national sample or not national sample or not national sample or not national sample or not No 1 Yes 1 Dar es Salaam 2 Other urban areas 4 Rural areas PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported District District District District District Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) 1 HIGH 2 MIDDLE 3 LOW Enummeration area Enummeration area Enummeration area Enummeration area Enummeration area Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH 1 SELECTED 2 RESERVED Household number in the village Household number in the village Household number in the village Household number in the village Household number in the village HH member # HH member # HH member # HH member # HH member # Relationship to the head of household Relationship to the head of household Relationship to the head of household Relationship to the head of household Relationship to the head of household 1 HEAD OF HHOLD 2 SPOUSE 3 SON OF HEAD HH 4 DAUGHTER OF HEAD 5 CHILD OF SPOUSE 6 GRAND CHILD OF S 7 PARENT OF SPOUSE 8 OTHER RELATIVES 9 DOMESTIC SERVANT 10 OTHER NON-RELATI 99 NS 1 MALE 2 FEMALE 9 Ns Age Age Age Age Age Marital status Marital status Marital status Marital status Marital status 1 NEVER MARRIED 2 MARRIED 3 DIVORCED/SEPARAT 4 WIDOWED 9 NS Time living here, 1st week Time living here, 1st week Time living here, 1st week Time living here, 1st week Time living here, 1st week BLK 9 NS Time libing here, 2nd week Time libing here, 2nd week Time libing here, 2nd week Time libing here, 2nd week Time libing here, 2nd week BLK 9 NS Time living here, 3rf week Time living here, 3rf week Time living here, 3rf week Time living here, 3rf week Time living here, 3rf week BLK 9 NS Time living here, 4th week Time living here, 4th week Time living here, 4th week Time living here, 4th week Time living here, 4th week BLK 9 NS Read and write Read and write Read and write Read and write Read and write BLANK 1 SWAHILI 2 ENGLISH 3 SWAHILI&ENGLISH 4 OTHER LANGUAGES 5 NO 9 NS Currently attending the school Currently attending the school Currently attending the school Currently attending the school Currently attending the school Is (name)currently in school? Individual BLANK 1 YES 2 NO 9 NS Reason not to attend the school Reason not to attend the school Reason not to attend the school Reason not to attend the school Reason not to attend the school Why is (name)not currently in school? Individual 1 Too old 2 Too far away 3 Too expensive 4 Is working 5 Useless/uniteresting 6 Illness/ pregnancy 7 Failed exam 8 Got married 9 Others 99 Not stated Current grade at the school Current grade at the school Current grade at the school Current grade at the school Current grade at the school What is the current grade (name)is attending? Individual Pre-school or BLANK 1 Std1 2 Std2 3 Std3 4 Std4 5 Std5 6 Std6 7 Std7 8 Std8 9 Course after pr 10 Form1 11 Form2 12 Form3 13 Form4 14 Course after sec 15 Form5 16 Form6 17 Course after 6 18 Diploma course 19 Other certificat 20 University 21 Adult education 99 NS Highest grade completed Highest grade completed Highest grade completed Highest grade completed Highest grade completed What is the highest grade (name)completed? Individual Pre-school or BLANK 1 Std1 2 Std2 3 Std3 4 Std4 5 Std5 6 Std6 7 Std7 8 Std8 9 Course after pr 10 Form1 11 Form2 12 Form3 13 Form4 14 Course after sec 15 Form5 16 Form6 17 Course after 6 18 Diploma course 19 Other certificat 20 University 21 Adult education 22 No education 99 NS Main activity Main activity Main activity Main activity Main activity BLANK 1 Farming/livestoc 2 Fishing 3 Mining 4 Tourism 5 Goverment 6 Parastatal 7 NGO/Religious 8 Others 9 With employees 10 Without employee 11 Unpaid family 12 Looking for work 13 No activity 14 Housemaker 15 Student 16 Too old 17 Sick 18 Disabled 19 Other 98 Not applicable 99 NS Main activity - time spent in hrs Main activity - time spent in hrs Main activity - time spent in hrs Main activity - time spent in hrs Main activity - time spent in hrs 99 Not stated Secondary activity Secondary activity Secondary activity Secondary activity Secondary activity BLANK 1 Farming/livestoc 2 Fishing 3 Mining 4 Tourism 5 Goverment 6 Parastatal 7 NGO/Religious 8 Others 9 With employees 10 Without employee 11 Unpaid family 12 Looking for work 13 No activity 14 Housemaker 15 Student 16 Too old 17 Sick 18 Disabled 19 Other 98 Not applicable 99 NS Secondary activity - time spent in hrs Secondary activity - time spent in hrs Secondary activity - time spent in hrs Secondary activity - time spent in hrs Secondary activity - time spent in hrs 99 Not stated Sick or injured in last 4 weeks Sick or injured in last 4 weeks Sick or injured in last 4 weeks Sick or injured in last 4 weeks Sick or injured in last 4 weeks Was(name)sick or injured in last 4 weeks? Individual Blank 1 YES 2 NO 9 NS Days missed work/school due to sickness/injury Days missed work/school due to sickness/injury Days missed work/school due to sickness/injury Days missed work/school due to sickness/injury Days missed work/school due to sickness/injury How many days of work or school did (name) miss due to illnes/injuries? Individual Blank 1 None 2 Week or less 3 1 or 2 week 4 More then 2 week 9 NS Did consult a health provider in last 4 weeks Did consult a health provider in last 4 weeks Did consult a health provider in last 4 weeks Did consult a health provider in last 4 weeks Did consult a health provider in last 4 weeks Did (name)consult a health provider ortraditional healer for any reason in the last 4 weeks? Individual Blank 1 YES 2 NO 9 NS Sorts of sickness/injury suffered: 1-Fever/Malaria Sorts of sickness/injury suffered: 1-Fever/Malaria Sorts of sickness/injury suffered: 1-Fever/Malaria Sorts of sickness/injury suffered: 1-Fever/Malaria Sorts of sickness/injury suffered: 1-Fever/Malaria What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 2-Diarrhoe Sorts of sickness/injury suffered: 2-Diarrhoe Sorts of sickness/injury suffered: 2-Diarrhoe Sorts of sickness/injury suffered: 2-Diarrhoe Sorts of sickness/injury suffered: 2-Diarrhoe What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 3-Accident Sorts of sickness/injury suffered: 3-Accident Sorts of sickness/injury suffered: 3-Accident Sorts of sickness/injury suffered: 3-Accident Sorts of sickness/injury suffered: 3-Accident What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 4-Dental Sorts of sickness/injury suffered: 4-Dental Sorts of sickness/injury suffered: 4-Dental Sorts of sickness/injury suffered: 4-Dental Sorts of sickness/injury suffered: 4-Dental What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 5-Skin condition Sorts of sickness/injury suffered: 5-Skin condition Sorts of sickness/injury suffered: 5-Skin condition Sorts of sickness/injury suffered: 5-Skin condition Sorts of sickness/injury suffered: 5-Skin condition What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 6-Eye Sorts of sickness/injury suffered: 6-Eye Sorts of sickness/injury suffered: 6-Eye Sorts of sickness/injury suffered: 6-Eye Sorts of sickness/injury suffered: 6-Eye What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 7-Ear, nose or throught Sorts of sickness/injury suffered: 7-Ear, nose or throught Sorts of sickness/injury suffered: 7-Ear, nose or throught Sorts of sickness/injury suffered: 7-Ear, nose or throught Sorts of sickness/injury suffered: 7-Ear, nose or throught What kind of sickness/injury did (name) suffered? Individual No 1 Yes Sorts of sickness/injury suffered: 8-Other Sorts of sickness/injury suffered: 8-Other Sorts of sickness/injury suffered: 8-Other Sorts of sickness/injury suffered: 8-Other Sorts of sickness/injury suffered: 8-Other What kind of sickness/injury did (name) suffered? Individual No 1 Yes Kind of health provider seen: 1-Private dispensary/hospital Kind of health provider seen: 1-Private dispensary/hospital Kind of health provider seen: 1-Private dispensary/hospital Kind of health provider seen: 1-Private dispensary/hospital Kind of health provider seen: 1-Private dispensary/hospital What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 2-Public dispensary/hospital Kind of health provider seen: 2-Public dispensary/hospital Kind of health provider seen: 2-Public dispensary/hospital Kind of health provider seen: 2-Public dispensary/hospital Kind of health provider seen: 2-Public dispensary/hospital What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 3-Community health center Kind of health provider seen: 3-Community health center Kind of health provider seen: 3-Community health center Kind of health provider seen: 3-Community health center Kind of health provider seen: 3-Community health center What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 4-Private doctor/dentist Kind of health provider seen: 4-Private doctor/dentist Kind of health provider seen: 4-Private doctor/dentist Kind of health provider seen: 4-Private doctor/dentist Kind of health provider seen: 4-Private doctor/dentist What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 5-Traditional healer Kind of health provider seen: 5-Traditional healer Kind of health provider seen: 5-Traditional healer Kind of health provider seen: 5-Traditional healer Kind of health provider seen: 5-Traditional healer What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 6-Regional hospital Kind of health provider seen: 6-Regional hospital Kind of health provider seen: 6-Regional hospital Kind of health provider seen: 6-Regional hospital Kind of health provider seen: 6-Regional hospital What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 7-Missionary hospital/dispens. Kind of health provider seen: 7-Missionary hospital/dispens. Kind of health provider seen: 7-Missionary hospital/dispens. Kind of health provider seen: 7-Missionary hospital/dispens. Kind of health provider seen: 7-Missionary hospital/dispens. What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 8-Pharmacy/chemist Kind of health provider seen: 8-Pharmacy/chemist Kind of health provider seen: 8-Pharmacy/chemist Kind of health provider seen: 8-Pharmacy/chemist Kind of health provider seen: 8-Pharmacy/chemist What kind of health provider did (name)see? Individual No 1 Yes Kind of health provider seen: 9-Other Kind of health provider seen: 9-Other Kind of health provider seen: 9-Other Kind of health provider seen: 9-Other Kind of health provider seen: 9-Other What kind of health provider did (name)see? Individual No 1 Yes Problems at the time of the visit: 1-No problem (satisfied) Problems at the time of the visit: 1-No problem (satisfied) Problems at the time of the visit: 1-No problem (satisfied) Problems at the time of the visit: 1-No problem (satisfied) Problems at the time of the visit: 1-No problem (satisfied) Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 2-Facilities not clean Problems at the time of the visit: 2-Facilities not clean Problems at the time of the visit: 2-Facilities not clean Problems at the time of the visit: 2-Facilities not clean Problems at the time of the visit: 2-Facilities not clean Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 3-Long waiting time Problems at the time of the visit: 3-Long waiting time Problems at the time of the visit: 3-Long waiting time Problems at the time of the visit: 3-Long waiting time Problems at the time of the visit: 3-Long waiting time Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 4-No trained professional Problems at the time of the visit: 4-No trained professional Problems at the time of the visit: 4-No trained professional Problems at the time of the visit: 4-No trained professional Problems at the time of the visit: 4-No trained professional Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 5-Too expensive Problems at the time of the visit: 5-Too expensive Problems at the time of the visit: 5-Too expensive Problems at the time of the visit: 5-Too expensive Problems at the time of the visit: 5-Too expensive Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 6-No drugs available Problems at the time of the visit: 6-No drugs available Problems at the time of the visit: 6-No drugs available Problems at the time of the visit: 6-No drugs available Problems at the time of the visit: 6-No drugs available Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 7-Treatment unsuccessful Problems at the time of the visit: 7-Treatment unsuccessful Problems at the time of the visit: 7-Treatment unsuccessful Problems at the time of the visit: 7-Treatment unsuccessful Problems at the time of the visit: 7-Treatment unsuccessful Did (name)had any problems at the time of the visit? Individual No 1 Yes Problems at the time of the visit: 8-Other Problems at the time of the visit: 8-Other Problems at the time of the visit: 8-Other Problems at the time of the visit: 8-Other Problems at the time of the visit: 8-Other Did (name)had any problems at the time of the visit? Individual No 1 Yes Reasons to do not use medical care: 1-No need Reasons to do not use medical care: 1-No need Reasons to do not use medical care: 1-No need Reasons to do not use medical care: 1-No need Reasons to do not use medical care: 1-No need Why did (name)not use medical care in the last 4 weeks? Individual No 1 Yes Reasons to do not use medical care: 2-Too expensive Reasons to do not use medical care: 2-Too expensive Reasons to do not use medical care: 2-Too expensive Reasons to do not use medical care: 2-Too expensive Reasons to do not use medical care: 2-Too expensive Why did (name)not use medical care in the last 4 weeks? Individual No 1 Yes Reasons to do not use medical care: 3-Too far Reasons to do not use medical care: 3-Too far Reasons to do not use medical care: 3-Too far Reasons to do not use medical care: 3-Too far Reasons to do not use medical care: 3-Too far Why did (name)not use medical care in the last 4 weeks? Individual No 1 Yes Reasons to do not use medical care: 4-Other Reasons to do not use medical care: 4-Other Reasons to do not use medical care: 4-Other Reasons to do not use medical care: 4-Other Reasons to do not use medical care: 4-Other Why did (name)not use medical care in the last 4 weeks? Individual No 1 Yes Individual ID number Individual ID number Individual ID number Individual ID number Individual ID number Current Level of education Current Level of education Current Level of education Current Level of education Current Level of education 1 Pre-school 2 Adult education only 3 Primary 1 - 4 4 Primary 5 - 8 5 Form 1 - 4 6 Form 5 - 6 7 Diploma course/university degree 8 Course after primary 9 Course after secondary 10 Course after form VI 11 Other certificate Highest Level of education attained Highest Level of education attained Highest Level of education attained Highest Level of education attained Highest Level of education attained 1 No education/Pre-school 2 Adult education only 3 Primary 1 - 4 4 Primary 5 - 8 5 Form 1 - 4 6 Form 5 - 6 7 Diploma course/university degree 8 Course after primary 9 Course after secondary school 10 Other certificates Read & write Read & write Read & write Read & write Read & write 1 Yes 2 No s2q02 = 1 (FILTER) s2q02 = 1 (FILTER) s2q02 = 1 (FILTER) s2q02 = 1 (FILTER) s2q02 = 1 (FILTER) Not Selected 1 Selected Final household weight Final household weight Final household weight Final household weight Final household weight Urban or rural Urban or rural Urban or rural Urban or rural Urban or rural 1 Urban 2 Rural national sample or not national sample or not national sample or not national sample or not national sample or not No 1 Yes 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA 1 Dar es Salaam 2 Other urban areas 4 Rural areas PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported District District District District District Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) 1 HIGH 2 MIDDLE 3 LOW Enummeration area Enummeration area Enummeration area Enummeration area Enummeration area Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH 1 SELECTED 2 RESERVED Household number in the village Household number in the village Household number in the village Household number in the village Household number in the village Building serial number Building serial number Building serial number Building serial number Building serial number Building serial number? Household 99 Not stated Storeys in building Storeys in building Storeys in building Storeys in building Storeys in building Storeys in building? Household 1 No storey 2 1 storey, building on 2 levels 3 2 or more storeyes,building on 3 or more 4 other types 99 Not stated # of doors leading into building # of doors leading into building # of doors leading into building # of doors leading into building # of doors leading into building Number of doors in the building used by this household? Household 99 Not stated # of windows in the building # of windows in the building # of windows in the building # of windows in the building # of windows in the building Number of windows in the building used by this household? Household # of rooms in the building # of rooms in the building # of rooms in the building # of rooms in the building # of rooms in the building Number of rooms in the building used by this household? Household 99 Not stated # of rooms for sleeping in the building # of rooms for sleeping in the building # of rooms for sleeping in the building # of rooms for sleeping in the building # of rooms for sleeping in the building Number of rooms for sleeping in the building used by this household? Household # of persons sleeping in the building # of persons sleeping in the building # of persons sleeping in the building # of persons sleeping in the building # of persons sleeping in the building Number of persons sleeping in the building used by this household? Household Foundations material Foundations material Foundations material Foundations material Foundations material Foundations material Household 1 NO FOUNDATION 2 STONES IN MUD-MO 3 STONES LOOSELY L 4 CONCREATE, CEMEN 5 OTHERS 9 NS Floor material Floor material Floor material Floor material Floor material Floor material? Household 1 EARTH 2 CONCREATE, CEMEN 3 OTHERS 9 NS Walls material Walls material Walls material Walls material Walls material Walls material Household 1 POLES 2 POLES & MUD 3 MUD ONLY 4 MUD BRICKS 5 BAKED/BURNT BRIC 6 CONCRETE, CEMENT 7 OTHER 9 NS Roof-frame material Roof-frame material Roof-frame material Roof-frame material Roof-frame material Roof-frame material Household 1 Poles 2 Sawn timber 3 Iron bars 4 Other 9 NS Roof material Roof material Roof material Roof material Roof material Roof material Household 1 Grass,leaves 2 Mud and grass 3 Concrete,cement 4 Metal sheets 5 Asbestos sheets 6 Tiles 7 Other 9 NS Tenure Tenure Tenure Tenure Tenure Tenure Household 1 Owned by hhs 2 Without pay 3 Privately 4 Public estate 5 From employer 6 Subsidized rent 7 From relative 8 Other 9 NS Market rent (9999998=DK) Market rent (9999998=DK) Market rent (9999998=DK) Market rent (9999998=DK) Market rent (9999998=DK) Market rent Household Actual rent (9999998=DK) Actual rent (9999998=DK) Actual rent (9999998=DK) Actual rent (9999998=DK) Actual rent (9999998=DK) Actual rent Household Final household weight Final household weight Final household weight Final household weight Final household weight Urban or rural Urban or rural Urban or rural Urban or rural Urban or rural 1 Urban 2 Rural national sample or not national sample or not national sample or not national sample or not national sample or not No 1 Yes 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA 1 Dar es Salaam 2 Other urban areas 4 Rural areas PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported District District District District District Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) 1 HIGH 2 MIDDLE 3 LOW Enummeration area Enummeration area Enummeration area Enummeration area Enummeration area Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH 1 SELECTED 2 RESERVED Household number in the village Household number in the village Household number in the village Household number in the village Household number in the village Type of facility Type of facility Type of facility Type of facility Type of facility Distance to socio-economic facility Household 1 Nearest water supply in dry season 2 Nearest place for collecting firewood/charcoal 3 Nearest Market place 4 Nearest Shop 5 Nearest Dispensary/Health Center 6 Nearest Hospital 7 Nearest Primary School 8 Nearest Pre-School 9 Nearest Secondary School 10 Nearest Bank 11 Nearest Post Office 12 Nearest Police Post 13 Nearest main farm of the household 14 Nearest traditional birth attendant 15 Nearest public transport 16 Nearest milling machine 17 Nearest primary co-operative society 18 Nearest community/social centre 19 Nearest church/mosque 20 Nearest primary court Distance to facility in km Distance to facility in km Distance to facility in km Distance to facility in km Distance to facility in km Distance to socio-economic facility Household 998 Not applicable 999 Not stated Time to facility in hours Time to facility in hours Time to facility in hours Time to facility in hours Time to facility in hours Distance to socio-economic facility Household 98 Not applicable 99 Not stated Time to facility in minutes Time to facility in minutes Time to facility in minutes Time to facility in minutes Time to facility in minutes Distance to socio-economic facility Household 98 Not applicable 99 Not stated 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA Item code Item code Item code Item code Item code Has any member of the Household mad any expenses for purchase of any of the following during the last 12 month? Household 20401 Beds 20402 Chairs, sofas 20403 Tables 20404 Cupboards, shelv 20405 Wardrobes, bookc 20406 Chests of drawer 20407 Mirrors 20408 Wall clock 20409 Picture, carving 20410 Lamps, lampshade 20411 Carpets, rugs, m 20412 Animal skins 20413 Other furniture 20414 Repairs to furni 20501 Sheets, pillow c 20502 Blankets 20503 Towels 20504 Table cloth, nap 20505 Bedspread, cover 20506 Curtains 20507 Pillows 20508 Mattresses 20509 Mosquito nets 20510 Other kinen and 20601 Charcoal stove 20602 Kerosene stove 20603 Gas cooker 20604 Electric cooker 20605 Refrigerator, fr 20606 Air condition, f 20607 Water heater, wa 20608 Sewing machine 20609 Iron (charcoal o 20610 Other hhs 20611 Repairs to house 20701 Pots, pans,bowls 20702 Pots of clay for 20703 Wooden bowls tra 20704 Dishes, plates 20705 Cups, glases, mu 20706 Knives, forks, s 20707 Thermos flask 20708 Torches, batteri 20709 Lantern, other l 20710 Baskets, washing 20711 Brooms brushes 20712 Other household 30101 Khanzus 30102 Hats, caps, turb 30103 Suits, kaunda su 30104 Trouser 30105 Shorts 30106 Sarong 30107 Jackets 30108 Pullovers 30109 Coats, winter co 30110 Rain coats 30111 Shirts 30112 Underwear, vests 30113 Socks, neckties 30114 Ready made 30115 Night dress 30116 Cotton cloth 30117 Other cloth 30118 Tailoring 30119 Repairs cloth 30120 Leather shoes, b 30121 Other men's foot 30201 Khanga 30202 Kitenge 30203 Saress 30204 Other natonal ga 30205 Dresses, frocks, 30206 Trousers 30207 Skirt 30208 Blouses 30209 Ovecoats 30210 Head gear 30211 Scarves, shawls 30212 Underwear 30213 Stocking, socks, 30214 Other rteady mad 30215 Night dresses 30216 Clothcotton 30217 Cloth,other 30218 Tailoring of new 30219 Reapairs to clot 30220 Leather shoes 30221 Other footwear f 30301 Shorts, trousers 30302 Dresses, frock, 30303 Skirts 30304 Shirt, blouses 30305 Sweaters 30306 Socks, handkerch 30307 Underwear, brass 30308 Baby clothes, na 30309 Other ready made 30310 Cloth, cotton 30311 Cloth, other 30312 Tailoring new cl 30313 Repairs to cloth 30314 Footwear 30401 Yarn and sewing 30402 Umbrellas, glove 30403 Handbags, wallet 30404 Watches 30405 Sun glases 30406 Jewellery 30407 Other personal 40101 Gov. hosp. disp. 40102 Orher hsp., disp 40103 Private practiti 40104 Traditional heal 40105 Traditional medi 40106 Denstistry, eye- 40107 Prescrobed medic 40108 Household medici 40109 Other medical ca 40201 Toilet soap 40202 Tooth pastes 40203 Hair tonic, shav 40204 Razor, shaving b 40205 Perfumes 40206 Listick, face cr 40207 Coms, hair brush 40208 Toilet paper 40209 Toilet articles 40210 Hair dressing fo 40211 Simple hair dres 40212 Services of beu 40213 Make-up kits 40214 Hair clip 40215 Hair drier 40216 Other 40301 Shool fees 40302 Sch. uniform 40303 Food at sc. 40304 Otherexp. 40305 Other kind of ex 40401 Books (not sc. b 40402 Magazine, newspa 40403 Radio,radiogram. 40404 Record/cassate p 40405 Records, tapes,c 40406 Soprts equipment 40407 Films, processin 40408 Repairs to above 40409 Studio photograp 40410 Cinema, threatre 40411 Subsciptions to 40412 Dogs, cats & oth 40413 Other recreation 40501 Priv. car 40502 Bicycle 40503 Petrol, oil, etc 40504 Repair & maintan 40505 Regristration ta 40506 Train fares 40507 Bus, lorry fares 40508 Taxi fares 40509 Boat fares 40510 Air fares 40601 Telephone, teleg 40602 Stamp & other po 40701 Detergents in po 40703 Laundry soap 40704 Cleansing & scou 40705 Inseticides, spr 40706 Polish for floor 40707 Other material f 40801 Laundry, dry-cle 40802 Domestic servant 40803 Other domestic h 40901 Cigarates 40902 Snuff 40903 Pipe tobbacco, p 40904 Other smokables 41001 Mass organizatio 41002 Religions contri 41003 Professional soc 41004 Parents associat 41005 Another contribu 41101 Legal fees 41102 Other services 50101 Income tax 50102 House tax, site 50103 Development levy 50104 Etsta duty 50105 Capital gain tax 50106 Sales tax 50107 Stamp duty 50108 Land rent 50109 Hotel levy 50110 Other taxes 50111 Local voluntary 50112 Payments of debt 50113 Repayment of oth 50201 Theft 50202 Rotary, gambling 50203 Others losses 50301 Remittance to ra 50302 Gifts to others 50303 Dowry(bride pric 50304 Contr. for weddi 50305 Other exp. 50306 Social security 50307 Insurance premiu 50308 Other premium 50401 Deposits to comm 50402 Deposits to post 50403 Savings in credi 50404 Savings in coope 50405 Savings in villa 50406 Shares, bonds 50407 Community trusts 50408 Gov. security 50409 Life insurance 50410 Loan given out 50411 Informal savings 50501 Purchase of plot 50502 Purchase of iron 50503 Purchases of asb 50504 Purchases of roo 50505 Purchases of tim 50506 Purchases of cem 50507 Purchases of oth 50508 Costs of labour 50509 Other investment 60101 Tractor 60102 Ox-plough & its 60103 Animal, poultry 60104 Animals for drau 60105 Fishing boats 60106 Fishing gear 60107 Hand cart or whe 60108 Ox cart 60109 Fertilizers 60110 Insecticide 60111 Seeds 60112 Fodder for anima 60113 Veterinary drugs 60114 Raw materials in 60115 Stock of roducts 60116 Salary/wages pai 60201 Hire of tractor, 60202 Hire of car/lorr 60203 Hire of hand/ox- 60204 Repairs & mainte 99901 Subtotal 99.01 99902 Subtotal 99.02 99903 Subtotal 99.03 99904 Subtotal 99.04 99905 Subtotal 99.05 Outright purchase/Full price Outright purchase/Full price Outright purchase/Full price Outright purchase/Full price Outright purchase/Full price Has any member of the Household mad any expenses for purchase of any of the following during the last 12 month? Household Hire purchase/Paid in last 12 months Hire purchase/Paid in last 12 months Hire purchase/Paid in last 12 months Hire purchase/Paid in last 12 months Hire purchase/Paid in last 12 months Has any member of the Household mad any expenses for purchase of any of the following during the last 12 month? Household Hire purchase/Total cost to be paid Hire purchase/Total cost to be paid Hire purchase/Total cost to be paid Hire purchase/Total cost to be paid Hire purchase/Total cost to be paid Has any member of the Household mad any expenses for purchase of any of the following during the last 12 month? Household Final household weight Final household weight Final household weight Final household weight Final household weight Urban or rural Urban or rural Urban or rural Urban or rural Urban or rural 1 Urban 2 Rural national sample or not national sample or not national sample or not national sample or not national sample or not No 1 Yes 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA 1 Dar es Salaam 2 Other urban areas 4 Rural areas PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported PSU name (RePs) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported Unique HH number (01-24) to be exported District District District District District Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) Stratum (or Class) 1 HIGH 2 MIDDLE 3 LOW Enummeration area Enummeration area Enummeration area Enummeration area Enummeration area Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH Selected or Reserved HH 1 SELECTED 2 RESERVED Household number in the village Household number in the village Household number in the village Household number in the village Household number in the village HH asset code (01...57 assets) HH asset code (01...57 assets) HH asset code (01...57 assets) HH asset code (01...57 assets) HH asset code (01...57 assets) Does your Household own any of the following? Household 1 Radio & Radio cassette 2 Telephone 3 Refrigerator/freezer 4 Sewing machine 5 Television 6 Video 7 Chairs 8 Sofas 9 Tables 10 Watches 11 Beds 12 Cupboards,Chest-of-drawer, wardrobes,bookcases 13 Lanterns 14 Computer 15 Cooking pots, Cups, kitchen utensils 16 Mosquito nets 17 Iron (Charcoal or electric) 18 Electric/gas stove 19 Other stove 20 Water-heater 21 Record/casset player,tape recorder 22 Completete music system 23 Books (not school books) 24 Motor vehicle 25 Motor cycle 26 Bicycle 27 Cart 28 Boat/canoe 29 Wheel barrow 30 Livestock 31 Poultry 32 Outboard engine 33 Donkeys 34 Fields/Land 35 House(s) 36 Dish antena/decoder 37 Working capital 38 Hoes 39 Spraying machines 40 Water pumping set 41 Reapers 42 Tractor 43 Trailer for tractor etc 44 Plough 45 Harrow 46 Milking machine 47 Harvesting and threshing machine 48 Hand miling machine 49 Coffee pulping machine 50 Fertilizer distributor 51 Incubator 52 Tiller 53 Feeding machine 54 Fishing net and other equipment 55 Beehives 56 Wells 57 Others How many... does the HH own How many... does the HH own How many... does the HH own How many... does the HH own How many... does the HH own Does your Household own any of the following? Household Resale value TSh Resale value TSh Resale value TSh Resale value TSh Resale value TSh Does your Household own any of the following? Household 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA Income 12 months, code Income 12 months, code Income 12 months, code Income 12 months, code Income 12 months, code Which is the Household main source of cash income? Household 90101 Wages & salaries 90102 Allowances 90103 Directors fees 90104 Bonuses 90105 Estimated taxes 90106 Other incomes 90201 Payment receive 90202 Payment receiv 90203 Payment recei 90204 Payment rece 90205 Employer's contr 90301 Gross rev. r 90302 Gross rev. re 90303 Gross rev. rec 90304 Gross rev. rece 90305 Gross rev. recei 90306 Value of domesti 90307 Amount of cash i 90401 Receiced in c 90402 Received in ca 90403 Received in cas 90404 Received in cash 90405 Value of consump 90501 Cash from non-fa 90502 In form of goods 90503 Cash from agric. 90504 Goods/services f 91101 Imputed rent of 91201 Interest from sa 91202 Other interest 91301 Dividends 91401 Incom from r 91402 Incom from re 91403 Incom from ren 91404 Incom from rent 91405 Incom from 91406 Value of receive 91407 Imputed rent fro 92101 Cash received as 92102 Received as fami 92103 Received from ot 92104 Received from pe 92105 Received from 92406 Valu of remittan 93101 Gifts received i 93102 Cash from sale o 93103 Withdrawal from 93104 Cash received fr 93105 Loan obtained 93106 Loan repayment 93107 Compesantion 93108 Lump-sum inherit 93109 Maturity payment 93110 Other lump-sum p 99901 Subtotal 8a 99902 Subtotal 8b 99903 Subtotal 8c Member # Member # Member # Member # Member # Which is the Household main source of income? Household 99 Not specified (blank in source data) Amount in TSh Amount in TSh Amount in TSh Amount in TSh Amount in TSh Which is the Household main source of income? Household 1 DODOMA 2 ARUSHA 3 KILIMANJARO 4 TANGA 5 MOROGORO 6 PWANI 7 DAR ES SALAAM 8 LINDI 9 MTWARA 10 RUVUMA 11 IRINGA 12 MBEYA 13 SINGIDA 14 TABORA 15 RUKWA 16 KIGOMA 17 SHINYANGA 18 KAGERA 19 MWANZA 20 MARA Item code Item code Item code Item code Item code Record of daily consumption and expenditure Household 10101 Paddy 10102 Rice, husked 10103 Green maize cob 10104 Maize, grain 10105 Maize, flour 10106 Millet, grain 10107 Millet, flour 10108 Sorghum, grain 10109 Sorghum, flour 10110 Wheat, grain 10111 Wheat, flour 10112 Barley & other c 10113 Cost of grinding 10201 Bread 10202 Baby food excl. 10203 Biscuits 10204 Buns, cakes, sma 10205 Macaroni, spaghe 10206 Cooking oil oats 10301 Cassava fresh 10302 Cassava dry 10303 Cassava flour 10304 Seet potatoes 10305 Yam. cocoyam 10306 Potatoes 10307 Cooking bananas, 10308 Other starches 10401 Sugar 10402 Honey 10403 Syrup, jams marm 10501 Peas, dry 10502 Beans, dry 10503 Lentils & other 10504 Pulse product 10601 Groudnuts in she 10602 Groundnuts, shel 10603 Coconuts, mature 10604 Coconuts, immatu 10605 Cashewnuts 10606 Almond & other n 10701 Sesame seeds 10702 Sunflower seeds 10703 Products from nu 10801 Carrots 10802 Radishes, beets, 10803 Garlic 10804 Onion 10805 Leeks 10806 Spanish 10807 Lettuce 10808 Cabbage 10809 Other leafy vege 10810 Tomatoes 10811 Bitter tomatoes 10812 Ladies finger 10813 Cauliflower 10814 Cucumber, pumpki 10815 Brinjals, eggpla 10816 Green peas, shel 10817 Green beans, she 10818 Fresh green pepe 10819 Cultivated 10820 Other wild veget 10821 Dried vegetables 10822 Canned vegetable 10901 Sweet bananas, r 10902 Orange, tangerin 10903 Grapefruits, lem 10904 Mangoes, avocado 10905 Pawpaw 10906 Pineapples 10907 Melons 10908 Sugar cane 10909 Jack fruit 10910 Apples, pears 10911 Other cultivated 10912 Other wild fruit 10913 Dried fruits 10914 Canned fruits 11001 Goat, sheep 11002 Cattle meat, inc 11003 Pork, incl sausa 11004 Other domestic a 11005 Wild animal 11006 Offal 11007 Dried, salted 11008 Canned meat 11009 Other meat produ 11010 Chicken & other 11011 Wild birds & ins 11012 Eggs 11201 Fresh fish 11202 Shell fish 11203 Fresh dried fish 11204 Dried or salted 11205 Canned fish/shel 11301 Fresh milk 11302 Cream 11303 Cheese 11304 Youghurt 11305 Canned milk 11306 Milk powder 11401 Cottonseed oil 11402 Groundnuts oils 11403 Sesame/sunflower 11404 Coconut cooking 11405 Other cooking oi 11406 Butter, ghee 11407 Margarines cooki 11408 Other oil & fat 11501 Red pepper/black 11502 Curry powder 11503 Other spices 11504 Salt 11505 Vinegar 11506 Yeast, baking po 11507 Cocoa cooking ch 11508 Purchased/prepar 11509 Other foodstuffs 11601 Tea dry 11602 Coffe (beans or 11603 Instant coffee 11604 Other 11701 Botled soft drin 11702 Canned & bottled 11703 Fresh fruit juic 11704 Prep. tea/coffee 11801 Bottled beer 11802 Kibuku 11803 Wine & spirits 11901 Beer outside hom 11902 Kibuku outside 11903 Wine oustide hom 11904 Breakfast&lunch 11905 Tea,coffee outsi 20101 House rent 20102 Housing loan 20103 Water bill 20104 Land rent& 20105 Insurance agains 20106 Redocoration 20107 Other improvemen 20201 Chacoal 20202 Firewood 20203 Kerosene 20204 Gas 20205 Electricity 20206 Matches,lighters 20207 Candles 20208 Lamp/stove 20401 Beds 20402 Chairs,sofas 20403 Tables 20404 Cupboards 20405 Wardrobes 20406 Chests of drawer 20407 Mirrors 20408 Wall-clock 20409 Pictures,carving 20410 Lamps,lampshades 20411 Carpets,rugs 20412 Animal skin 20413 Other furniture 20414 Repairs furnitur 20501 Sheets,pillow 20502 Blankets 20503 Towels 20504 Table-cloth 20505 Bedspread 20506 Curtain 20507 Pillows 20508 Mattresses 20509 Mosquito nets 20510 Other linen 20601 Charcoal stove 20602 Kerosene stove 20603 Gas cooker 20604 Electrict cooker 20605 Refrigerator 20606 Air-conditioner 20607 Water-heater 20608 Sewing machine 20609 Iron 20610 Other hh durable 20611 Repair to hh dur 20701 Pots,pans,bowls 20702 Pots of clay 20703 Wooden bowls 20704 Dishes,plates 20705 Cup,glasses,mugs 20706 Knives,fork,spoo 20707 Thermos flask 20708 Torches,batterie 20709 Lanterns 20710 Baskets,washing 20711 Brooms,brushes 20712 Other hh equipme 30101 Khanzus 30102 Hats,caps,turban 30103 Suits,kaunda sui 30104 Trousers(women) 30105 Shorts 30106 Sarong 30107 Jackets 30108 Pullovers 30109 Coats,winter coa 30110 Rain coats 30111 Shirts 30112 Underwear,vest 30113 T-shirts,socks 30114 Ready-made 30115 Night dress 30116 Cloth,cotton 30117 Cloth,other 30118 Tailoring new 30119 Rep. clothing 30120 Leathershoes 30121 Other men's 30201 Khanga 30202 Kitenge 30203 Sarees 30204 Other garments 30205 Dresses 30206 Trousers 30207 Skirts (women) 30208 Blouses 30209 Overcoats 30210 Head gear 30211 Scaves, shawls 30212 Underwear 30213 Stocking,socks 30214 Other ready-made 30215 Night-dresses 30216 Cloth, cotton 30217 Other, cloth 30218 Tailoring new cl 30219 Repairs clothing 30220 Leather shoes 30221 Other footwear 30301 Shorts,trousers 30302 Dresses,frocks 30303 Skirts 30304 Shirts,blouses 30305 Sweaters 30306 Socks,handkerchi 30307 Underwear,brassi 30308 Baby clothes 30309 Ready-made child 30310 Cloth,cotton-chi 30311 Other cloth-chil 30312 Tailoring -child 30313 Repairs cloth/sh 30314 Footwear -childr 30401 Yarn & sewing 30402 Umbrellas,gloves 30403 Handbags,wallets 30404 Watches 30405 Sun-glasses 30406 Jewellery 30407 Other personal e 40101 Gov.hosp/disp 40102 Other hosp/disp 40103 Private practiti 40104 Traditional heal 40105 Traditional medi 40106 Dens. eye testin 40107 Prescribed medic 40108 Hh medicine 40109 Other medicalcar 40201 Toilet soap 40202 Tooth-pastes 40203 Hair-tonic 40204 Razor,shavingbla 40205 Perfumes 40206 Lipstick,face 40207 Combs,hair-brush 40208 Toilet paper 40209 Toilet articles 40210 Hair dressing-m 40211 Simple hair dres 40212 Serv. beuty salo 40213 Make-up kits 40214 Hair clip 40215 Hair drier 40216 Other personal 40301 School fees 40302 Sc. uniform 40303 Food at school 40304 Other expenses 40305 In-kind expenses 40401 Books 40402 Magazine 40403 Radio 40404 Record/cassete 40405 Record tapes 40406 Sports equipment 40407 Films 40408 Repairs to above 40409 Studio photograp 40410 Cinema,theatre 40411 Subsciption 40412 Dogs,cat & other 40413 Other recreation 40501 Private car 40502 Bicycle 40503 Petrol,oil etc. 40504 Repair vehicle 40505 Registration tax 40506 Train fares 40507 Bus, lory fares 40508 Taxi fares 40509 Boat fares 40510 Air fares 40601 Telephone 40602 Stamp & other 40701 Detergents 40703 Laundry soap 40704 Cleansing 40705 Insecticedes 40706 Polish floor 40707 Other materials 40801 Laundry 40802 Domestic servant 40803 Other domestic 40901 Cigarates 40902 Snuff 40903 Pipe tobacco 40904 Other smokables 41001 Mass organizatio 41002 Religious 41003 Profesional soc. 41004 Parents assoc. 41005 Another contribu 41101 Legal fees 41102 Other services 50101 Income tax 50102 House-tax,site 50103 Development levy 50104 Estate duty 50105 Capital gains ta 50106 Sales tax 50107 Stamp duty 50108 Land rent 50109 Hotel levy 50110 Other taxes&fine 50111 Local voluntary 50112 Payment of debts 50113 Repayment 50201 Theft 50202 Rotary,gambling 50203 Other losses 50301 Remittance 50302 Gifts & others 50303 Dowry 50304 Weddings,funeral 50305 Other expenditur 50306 Social security 50307 Insurance funds 50308 Insurance premiu 50401 Deposits(nbc,crd 50402 Deposits post of 50403 Credit union 50404 Cooperative 50405 Village developm 50406 Shares, bonds 50407 Community trusts 50408 Gov. securities 50409 Life insurance 50410 Loan given 50411 Informal savings 50501 Purchase of plot 50502 Purchase of iron 50503 Purchase of asbe 50504 Purchase of roof 50505 Purchase of timb 50506 Purchase of ceme 50507 Other material 50508 Labour cost 50509 Other investment 60101 Purchase tractor 60102 Purchase ox-plou 60103 Animals poultry 60104 Animal draughtin 60105 Fishing boats 60106 Fishing gear 60107 Hand cart 60108 Ox-cart 60109 Fertilizers 60110 Insecticide 60111 Seeds 60112 Fodder for anima 60113 Veterinary drugs 60114 Raw materials 60115 Stock of product 60116 Salary/wage paid 60201 Hire tractor 60202 Hire car/lorry 60203 Hand/ox-carts 60204 Repairs & mainta 88801 Subtotal 1 88802 Subtotal 2 88803 Subtotal 3 88804 Subtotal 4 88805 Subtotal 5 88806 Subtotal 6 88807 Subtotal 7 88808 Subtotal 8 88809 Subtotal 9 90101 Wages & salaries 90102 Allowances 90103 Directors fees 90104 Bonuses 90105 Estimated taxes 90106 Other incomes 90201 Payment receive 90202 Payment receiv 90203 Payment recei 90204 Payment rece 90205 Employer's contr 90301 Gross rev. r 90302 Gross rev. re 90303 Gross rev. rec 90304 Gross rev. rece 90305 Gross rev. recei 90306 Value of domesti 90307 Amount of cash i 90401 Receiced in c 90402 Received in ca 90403 Received in cas 90404 Received in cash 90405 Value of consump 90501 Cash from non-fa 90502 In form of goods 90503 Cash from agric. 90504 Goods/services f 91101 Imputed rent of 91201 Interest from sa 91202 Other interest 91301 Dividends 91401 Incom from r 91402 Incom from re 91403 Incom from ren 91404 Incom from rent 91405 Incom from 91406 Value of receive 91407 Imputed rent fro 92101 Cash received as 92102 Received as fami 92103 Received from ot 92104 Received from pe 92105 Received from 92106 Remittances rece 92406 Valu of remittan 93101 Gifts received i 93102 Cash from sale o 93103 Withdrawal from 93104 Cash received fr 93105 Loan obtained 93106 Loan repayment 93107 Compesantion 93108 Lump-sum inherit 93109 Maturity payment 93110 Other lump-sum p 99901 Subtotal income 1 99902 Subtotal income 2 99903 Subtotal income 3 99904 Subtotal income 4 99905 Subtotal income 5 99906 Subtotal income 6 99907 Subtotal income 7 99908 Subtotal income 8 99909 Subtotal income 9 Availability Availability Availability Availability Availability Record of daily consumption and expenditure Household 1 Purchased 2 Own produce 3 Gathering 4 Gift received 5 Gift given away 6 Loan given away 7 Received loan 8 Sales 9 Savings 10 Withdrawals 11 Sal.& allow.rece 12 Sal & allow give 13 Others 99 NS By whom (member number) By whom (member number) By whom (member number) By whom (member number) By whom (member number) Record of daily consumption and expenditure Household Measurement/Unit Measurement/Unit Measurement/Unit Measurement/Unit Measurement/Unit Record of daily consumption and expenditure Household 1 Kilograms 2 Gram 3 Number 4 Litres 5 Millitres 6 Metres 7 Cubic metres 8 Packet 9 Electric measure 10 Other 99 NS Measurement/Quantity (3 implicit decimals) Measurement/Quantity (3 implicit decimals) Measurement/Quantity (3 implicit decimals) Measurement/Quantity (3 implicit decimals) Measurement/Quantity (3 implicit decimals) Record of daily consumption and expenditure Household Amount in Tsh Amount in Tsh Amount in Tsh Amount in Tsh Amount in Tsh Record of daily consumption and expenditure Household