DDI_TZA_2004_CWIQ_v01_M
Development Economics Data Group
2013-02-21
NADA
Version 01 (February 2013)
Core Welfare Indicators Questionnaire 2004
Baseline Survey on Poverty, Welfare and Services in Rural Shinyanga Districts
CWIQ 2004
TZA_2004_CWIQ_v01_M
EDI Ltd (Economic Development Initiatives)
Sonya Krutikov
Tadeo Rweyemamu
Joachim De Weerdt
James Mitchener
Louise Barnett
Albina Chuwa
Innocent Ngalinda
NADA
Royal Netherlands Embassy - District Rural Development Programme
Joachim De Weerdt - Research Director
Core Welfare Indicators Questionnaire [hh/cwiq]
Rural Shinyanga CWIQ (2004) was the first survey of its kind to be administered in Shinyanga Region. Repeating the survey in, say, one or two years time would be advisable as it will give an indication of the direction in which the welfare of households is changing and how this is influenced by the policies implemented Although beyond the purpose of this study, the results of Rural Shinyanga CWIQ could be set against those of other CWIQ surveys that have been implemented in other districts and regions of Tanzania: Mbeya Urban District, Singida Urban District, Mtwara Urban District and Rural Kagera Region. African countries that have implemented nationally representative CWIQ surveys include Malawi and Ghana.
The Core Welfare Indicators Questionnaire (CWIQ) currently constitutes one of the largest socio-economic household survey databases on Tanzania. Since 2003 EDI has interviewed roughly 20,000 households in 35 different districts. For 9 districts repeat surveys have been organised to track changes over time.
Rationale: Absence of district level survey data does not rhyme with the devolution of power to districts. Tanzania is undergoing a decentralisation process whereby each of its roughly 128 districts is becoming an increasingly important policy actor. A district taking on this challenge needs accurate information to monitor and develop its own policies. Much relevant information is currently not available as national statistics are not representative at district level and many of the routine data collection mechanisms are still under development. CWIQ then provides an attractive, one-stop survey-based method to collect basic development indicators. Furthermore, the survey results can be disseminated - through Swahili briefs and posters - to a district's population; thus increasing the extent to which people are able to hold their local governments accountable. Exciting new ground is being broken on such population-wide dissemination by the Prime Minister's Office.
Methodology: The data are collected through a small 10-page questionnaire, called the Core Welfare Indicators Questionnaire (CWIQ). The questionnaire and data software constitute an off-the-shelf survey package developed by the World Bank to produce standardised monitoring indicators of welfare. The questionnaire is purposively concise and is designed to collect information on household demographics, employment, education, health and nutrition as well as utilisation and satisfaction with social services. Questionnaires are scannable, with interviewers shading bubbles and writing numbers later recognised by the scanning software. The data system is fully automated allowing the results to roll out within weeks of the fieldwork.
Funding: projects are typically funded by organisations that care about making decentralisation work in Tanzania. CWIQ is a method to promote evidence-based policy formulation and debate in the district and a tool for the population to hold their local governments accountable. With funding from the RNE (Royal Netherlands Embassy) and SNV (Stichting Nederlands Vrijwilligers), CWIQ surveys were implemented between 2003-2005 in 16 districts. In 2006/07 PMO-RALG (Prime Minister's Office - Regional Administration and Local Government) commissioned EDI to cover a further 28 districts. In 9 of these districts this constituted a repeat survey and thus a unique opportunity arises to monitor changes that occurred in the district over this time period.
Dissemination: EDI disseminated the results of CWIQ on posters and briefs to district level stakeholders (councillors, district officials, NGOs, CBOs, Advocacy Groups, MPs, ‘interested citizens', etc.), with the aim at district level, to: (i) promote evidence-based policy debate, (ii) promote evidence-based policy formulation, (iii) provide tools for district level M&E and (iv) increase accountability of LGA to citizens.
Public Domain: Currently in the public domain are (i) all CWIQ reports - note that Shinyanga 2004 and Kagera 2003 reports are organised into one region-wide report (ii) Swahili and English briefs for 5 pilot dissemination districts funded by the Prime Minister's Office - and (iii) raw data for all CWIQs conducted between 2003 and 2007.
Tanzania
Rural districts in the Shinyanga region: Kishapu, Shinyanga Rural, Maswa, Meatu, Bukombe, Bariadi and Kahama
- Households
- Individuals
Sample survey data [ssd]
The scope of the CWIQ includes :
- Household demographics,
- Employment,
- Education,
- Health and nutrition
- Utilisation and satisfaction with social services
The Rural Shinyanga CWIQ was sampled to be representative at district level in all seven rural districts of Shinyanga region: Kahama, Bukombe, Bariadi, Meatu, Maswa, Shinyanga Rural, and Kishapu. Data from the 2002 Census was used to select 15 households in 30 Enumeration Areas in each rural district of the Shinyanga region. This brings the total number of households to 450 per district or 3,150 at rural regional level. Households were stratified into rural and peri-urban areas and given statistical weights reflecting the number of households they represent.
Face-to-face [f2f]
The data are collected through a small 10-page questionnaire (downloadable below), called the Core Welfare Indicators Questionnaire (CWIQ). The questionnaire and data software constitute an off-the-shelf survey package developed by the World Bank to produce standardised monitoring indicators of welfare.Questionnaires are scannable, with interviewers shading bubbles and writing numbers later recognised by the scanning software. The data system is fully automated allowing the results to roll out within weeks of the fieldwork.
Due to logistical constraints the completed questionnaires could not be scanned and automatically analysed through CWIQ software. This meant that the lay-out of the questionnaire had to be slightly redesigned to allow easy manual data entry. In order to avoid any problems with coding, missing variables, outliers etc. and to keep continuous thorough checks throughout the data analysis process, all tables and figures were manually produced and their consistency with the data assessed.CWIQ does not collect information on consumption and thus cannot directly calculate poverty rates. Therefore the 2000/01 Household Budget Survey (HBS) was used to determine predictors of poverty that are included in CWIQ, or could be easily added without delaying the field work. Through regression analysis weights for each poverty predictor were determined. By way of this weighted sum of poverty predictors each household can be predicted to either lie above or below the poverty line. This allows Rural Shinyanga CWIQ to analyse all data by (predicted) poverty status.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Joachim De Weerdt - Research Director
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example
EDI Ltd (Economic Development Initiatives).Core Welfare Indicators Questionnaire - Baseline Survey on Poverty, Welfare Services in Rural Shinyanga Districts Tanzania (CWIQ) 2004 . Ref. TZA_2004_CWIQ_v01_M. Downloaded from www.microdata.worldbank.org on 29 March 2011.
- Public use files, accessible to all
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.
child
child.dta contains all child level variables; section i
3243
15
household
household.dta contains all household level variables; sections b, c, d and e
3150
65
individual
individual.dta contains all individual level variables; sections a, f, g and h
19736
66
district
district
district
district
district
3150
1
kishapu
2
shinyanga
3
maswa
4
meatu
5
bariadi
6
bukombe
7
kahama
EA number
EA number
EA number
EA number
EA number
3150
101
827
454.481
231.714
urban/rural code
urban/rural code
urban/rural code
urban/rural code
urban/rural code
900
2250
1
rural
2
urban
Sysmiss
urban/rural string
urban/rural string
urban/rural string
urban/rural string
urban/rural string
3150
1
kishapu(u)
2
kishapu(r)
3
shinyanga(u)
4
shinyanga(r)
5
maswa(u)
6
maswa(r)
7
meatu(u)
8
meatu(r)
9
bariadi(u)
10
bariadi(r)
11
bukombe(u)
12
bukombe(r)
13
kahama(u)
14
kahama(r)
household number
household number
household number
household number
household number
3150
1
212
9.86
9.833
interviewer number
interviewer number
interviewer number
interviewer number
interviewer number
3150
101
305
202.896
81.585
date
date
date
date
date
3150
Sysmiss
start time
start time
start time
start time
start time
3148
2
4e-37
25.26
5.493
2.01
start am/pm
start am/pm
start am/pm
start am/pm
start am/pm
3150
1
2
respondent no.
respondent no.
respondent no.
respondent no.
respondent no.
3148
2
1
2
3
4
5
6
7
8
10
11
19
Sysmiss
questionnaire no.
questionnaire no.
questionnaire no.
questionnaire no.
questionnaire no.
3150
1
2
3
4
status of the interview
status of the interview
status of the interview
status of the interview
status of the interview
3150
1
completed interview
2
completed repl. - refusal
3
completed repl. - not found
4
not completed
end time
end time
end time
end time
end time
3149
1
1.05
12.58
5.872
1.991
end am/pm
end am/pm
end am/pm
end am/pm
end am/pm
3149
1
1
2
Sysmiss
does household own dwelling?
does household own dwelling?
does household own dwelling?
does household own dwelling?
does household own dwelling?
3150
1
owns the dwelling
2
rents the dwelling
3
uses without paying rent
4
nomadic or temporary dwelling
number of rooms in the dwelling
number of rooms in the dwelling
number of rooms in the dwelling
number of rooms in the dwelling
number of rooms in the dwelling
3150
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
number of acres of farm land owned by the household
number of acres of farm land owned by the household
number of acres of farm land owned by the household
number of acres of farm land owned by the household
number of acres of farm land owned by the household
3150
145
6.226
10.501
amount of farm land owned compared to last year
amount of farm land owned compared to last year
amount of farm land owned compared to last year
amount of farm land owned compared to last year
amount of farm land owned compared to last year
3150
1
less now
2
same now
3
more now
4
don't know
does household use land it does not own?
does household use land it does not own?
does household use land it does not own?
does household use land it does not own?
does household use land it does not own?
3150
1
no
2
rented
3
sharecropped
4
private land provided free
5
open access land
acres of land used but not owned
acres of land used but not owned
acres of land used but not owned
acres of land used but not owned
acres of land used but not owned
3150
170
1.085
4.316
amount of land used but not owned compared to last year
amount of land used but not owned compared to last year
amount of land used but not owned compared to last year
amount of land used but not owned compared to last year
amount of land used but not owned compared to last year
3150
1
less now
2
same now
3
more now
4
don't know
cattle and other large livestock currently owned by the household
cattle and other large livestock currently owned by the household
cattle and other large livestock currently owned by the household
cattle and other large livestock currently owned by the household
cattle and other large livestock currently owned by the household
3150
300
4.136
13.007
amount of cattle and other large livestock compared to one year ago
amount of cattle and other large livestock compared to one year ago
amount of cattle and other large livestock compared to one year ago
amount of cattle and other large livestock compared to one year ago
amount of cattle and other large livestock compared to one year ago
3150
1
less now
2
same now
3
more now
4
don't know
no. of sheep, goats and other medium size animal currently owned by household
no. of sheep, goats and other medium size animal currently owned by household
no. of sheep, goats and other medium size animal currently owned by household
no. of sheep, goats and other medium size animal currently owned by household
no. of sheep, goats and other medium size animal currently owned by household
3150
150
3.94
9.959
no. of sheep, goats and other medium size animals compared to one year ago
no. of sheep, goats and other medium size animals compared to one year ago
no. of sheep, goats and other medium size animals compared to one year ago
no. of sheep, goats and other medium size animals compared to one year ago
no. of sheep, goats and other medium size animals compared to one year ago
3150
1
less now
2
same now
3
more now
4
don't know
HH owns car or lorry
HH owns car or lorry
HH owns car or lorry
HH owns car or lorry
HH owns car or lorry
3150
1
yes
2
no
HH owns motorbike
HH owns motorbike
HH owns motorbike
HH owns motorbike
HH owns motorbike
3150
1
yes
2
no
HH owns TV
HH owns TV
HH owns TV
HH owns TV
HH owns TV
3150
1
yes
2
no
HH owns bicycle
HH owns bicycle
HH owns bicycle
HH owns bicycle
HH owns bicycle
3150
1
yes
2
no
HH owns radio
HH owns radio
HH owns radio
HH owns radio
HH owns radio
3150
1
yes
2
no
HH owns bed
HH owns bed
HH owns bed
HH owns bed
HH owns bed
3150
1
yes
2
no
HH owns phone
HH owns phone
HH owns phone
HH owns phone
HH owns phone
3150
1
yes
2
no
HH owns watch
HH owns watch
HH owns watch
HH owns watch
HH owns watch
3150
1
yes
2
no
HH owns toilet
HH owns toilet
HH owns toilet
HH owns toilet
HH owns toilet
3150
1
yes
2
no
HH owns books
HH owns books
HH owns books
HH owns books
HH owns books
3150
1
yes
2
no
HH owns iron (electric or charcoal)
HH owns iron (electric or charcoal)
HH owns iron (electric or charcoal)
HH owns iron (electric or charcoal)
HH owns iron (electric or charcoal)
3150
1
yes
2
no
does dwelling have electricity
does dwelling have electricity
does dwelling have electricity
does dwelling have electricity
does dwelling have electricity
3150
1
yes
2
no
In past year how often did HH have problems satisfying its food needs
In past year how often did HH have problems satisfying its food needs
In past year how often did HH have problems satisfying its food needs
In past year how often did HH have problems satisfying its food needs
In past year how often did HH have problems satisfying its food needs
3150
1
never
2
seldom
3
sometimes
4
often
5
always
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
3150
1
much worse now
2
a little worse now
3
same
4
a little better now
5
much better now
6
don't know
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
Compared to last year how is current economic situation of HH
3150
1
much worse now
2
a little worse now
3
same
4
a little better now
5
much better now
6
don't know
ID code of member who contributes most to HH income
ID code of member who contributes most to HH income
ID code of member who contributes most to HH income
ID code of member who contributes most to HH income
ID code of member who contributes most to HH income
3149
1
1
2
3
4
5
6
7
8
9
10
12
Sysmiss
main roofing material of dwelling
main roofing material of dwelling
main roofing material of dwelling
main roofing material of dwelling
main roofing material of dwelling
3150
1
mud
2
thatch
3
wood
4
iron sheets
5
cement/concrete
6
roofing tiles
7
asbestos
8
other
main wall material of dwelling
main wall material of dwelling
main wall material of dwelling
main wall material of dwelling
main wall material of dwelling
3150
1
mud/mud bricks
2
stone
3
burnt bricks
4
cement/sandcrete
5
wood/bamboo
6
iron sheets
7
cardboard
8
other
main source for drinking water in HH
main source for drinking water in HH
main source for drinking water in HH
main source for drinking water in HH
main source for drinking water in HH
3150
1
piped into dwelling or compound
2
piped into neighbour's house
3
public outdoor tap or borehole
4
protected well
5
unprotected well, rain water
6
river, lake, pond
7
vendor, truck
8
other
main type of toilet used by HH
main type of toilet used by HH
main type of toilet used by HH
main type of toilet used by HH
main type of toilet used by HH
3150
1
none (bush)
2
flush toilet to sewer
3
flush to septic tank
4
pan/bucket
5
covered pit latrine
6
uncovered pit latrine
7
ventilation improved pit latrine
8
other
main energy source for cooking
main energy source for cooking
main energy source for cooking
main energy source for cooking
main energy source for cooking
3150
1
firewood
2
charcoal
3
kerosene/oil
4
gas
5
electicity
6
crop residue/sawdust
7
animal waste
8
other
main energy for lighting
main energy for lighting
main energy for lighting
main energy for lighting
main energy for lighting
3150
1
kerosene/paraffin
2
gas
3
mains electricity
4
generator
5
battery
6
candles
7
firewood
8
other
main floor type in dwelling
main floor type in dwelling
main floor type in dwelling
main floor type in dwelling
main floor type in dwelling
3150
1
concrete
2
mud
3
other
time taken to the nearest source of drinking water
time taken to the nearest source of drinking water
time taken to the nearest source of drinking water
time taken to the nearest source of drinking water
time taken to the nearest source of drinking water
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
time taken to the nearest market
time taken to the nearest market
time taken to the nearest market
time taken to the nearest market
time taken to the nearest market
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
time taken to the public transport
time taken to the public transport
time taken to the public transport
time taken to the public transport
time taken to the public transport
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
time taken to the nearest primary school
time taken to the nearest primary school
time taken to the nearest primary school
time taken to the nearest primary school
time taken to the nearest primary school
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
time taken to the nearest secondary school
time taken to the nearest secondary school
time taken to the nearest secondary school
time taken to the nearest secondary school
time taken to the nearest secondary school
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
time taken to the nearest dispensary/hospital
time taken to the nearest dispensary/hospital
time taken to the nearest dispensary/hospital
time taken to the nearest dispensary/hospital
time taken to the nearest dispensary/hospital
3150
1
0-14 minutes
2
15-29 minutes
3
30-44 minutes
4
45-59 minutes
5
60 + minutes
does HH own/use 3 rooms or less?
does HH own/use 3 rooms or less?
does HH own/use 3 rooms or less?
does HH own/use 3 rooms or less?
does HH own/use 3 rooms or less?
3150
1
yes
2
no
does HH have 7 or more members?
does HH have 7 or more members?
does HH have 7 or more members?
does HH have 7 or more members?
does HH have 7 or more members?
3150
1
yes
2
no
how satisfied are you with your district councillor (diwani)
how satisfied are you with your district councillor (diwani)
how satisfied are you with your district councillor (diwani)
how satisfied are you with your district councillor (diwani)
how satisfied are you with your district councillor (diwani)
3150
1
very well
2
well
3
average
4
poorly
5
very poorly
6
don't know
how satisfied are you with the civil servants at the district council
how satisfied are you with the civil servants at the district council
how satisfied are you with the civil servants at the district council
how satisfied are you with the civil servants at the district council
how satisfied are you with the civil servants at the district council
3150
1
very well
2
well
3
average
4
poorly
5
very poorly
6
don't know
how many sleeping rooms does this dwelling have?
how many sleeping rooms does this dwelling have?
how many sleeping rooms does this dwelling have?
how many sleeping rooms does this dwelling have?
how many sleeping rooms does this dwelling have?
3150
1
yes
2
no
3
4
5
6
7
8
9
10
11
12
13
14
15
24
how many meals does your HH usually have per day?
how many meals does your HH usually have per day?
how many meals does your HH usually have per day?
how many meals does your HH usually have per day?
how many meals does your HH usually have per day?
3150
1
2
3
4
5
how days in the past 7 days did your household have a meal with meat?
how days in the past 7 days did your household have a meal with meat?
how days in the past 7 days did your household have a meal with meat?
how days in the past 7 days did your household have a meal with meat?
how days in the past 7 days did your household have a meal with meat?
3150
1
2
3
4
5
6
7
9
does any member of the household own a bank account?
does any member of the household own a bank account?
does any member of the household own a bank account?
does any member of the household own a bank account?
does any member of the household own a bank account?
3150
1
yes
2
no
poverty predictor 9 (empty)
poverty predictor 9 (empty)
poverty predictor 9 (empty)
poverty predictor 9 (empty)
poverty predictor 9 (empty)
1
3149
4
Sysmiss
poverty predictor 10 (empty)
poverty predictor 10 (empty)
poverty predictor 10 (empty)
poverty predictor 10 (empty)
poverty predictor 10 (empty)
1
3149
2
Sysmiss
household weight
household weight
household weight
household weight
household weight
3150
38.004
1791.555
135.893
159.342
district
district
district
district
district
19736
1
kishapu
2
shinyanga
3
maswa
4
meatu
5
bariadi
6
bukombe
7
kahama
EA number
EA number
EA number
EA number
EA number
19736
101
827
450.02
233.882
urban/rural code
urban/rural code
urban/rural code
urban/rural code
urban/rural code
5654
14082
1
rural
2
urban
Sysmiss
urban/rural string
urban/rural string
urban/rural string
urban/rural string
urban/rural string
19736
1
kishapu(u)
2
kishapu(r)
3
shinyanga(u)
4
shinyanga(r)
5
maswa(u)
6
maswa(r)
7
meatu(u)
8
meatu(r)
9
bariadi(u)
10
bariadi(r)
11
bukombe(u)
12
bukombe(r)
13
kahama(u)
14
kahama(r)
household number
household number
household number
household number
household number
19736
1
212
9.847
9.833
member no.
member no.
member no.
member no.
member no.
19736
1
29
4.561
3.366
sex
sex
sex
sex
sex
19736
1
male
2
female
for how long was [NAME] absent from HH in past 12 months?
for how long was [NAME] absent from HH in past 12 months?
for how long was [NAME] absent from HH in past 12 months?
for how long was [NAME] absent from HH in past 12 months?
for how long was [NAME] absent from HH in past 12 months?
19736
1
never
2
less than six months
3
6 months or more
does [NAME] contribute to HH income?
does [NAME] contribute to HH income?
does [NAME] contribute to HH income?
does [NAME] contribute to HH income?
does [NAME] contribute to HH income?
19736
1
yes
2
no
how is [NAME] related to HH head?
how is [NAME] related to HH head?
how is [NAME] related to HH head?
how is [NAME] related to HH head?
how is [NAME] related to HH head?
19736
1
head
2
spouse
3
child
4
parent
5
other relative
6
not related
age of [NAME] at last birthday
age of [NAME] at last birthday
age of [NAME] at last birthday
age of [NAME] at last birthday
age of [NAME] at last birthday
19736
99
20.307
17.925
marital status of [NAME]
marital status of [NAME]
marital status of [NAME]
marital status of [NAME]
marital status of [NAME]
19736
1
single\never married
2
married (monogamous)
3
married (polygamous)
4
divorced
5
separated
6
widowed
can [NAME] read or write in any language?
can [NAME] read or write in any language?
can [NAME] read or write in any language?
can [NAME] read or write in any language?
can [NAME] read or write in any language?
9804
9932
1
yes
2
no
Sysmiss
did [NAME] ever attend school?
did [NAME] ever attend school?
did [NAME] ever attend school?
did [NAME] ever attend school?
did [NAME] ever attend school?
19736
1
yes
2
no
what is the highest grade of schooling [NAME] completed?
what is the highest grade of schooling [NAME] completed?
what is the highest grade of schooling [NAME] completed?
what is the highest grade of schooling [NAME] completed?
what is the highest grade of schooling [NAME] completed?
9852
9884
pre-school/none
1
primary 1
2
primary 2
3
primary 3
4
primary 4
5
primary 5
6
primary 6
7
primary 7
8
secondary form 1
9
secondary form 2
10
secondary form 3
11
secondary form 4
12
secondary form 5
13
secondary form 6
14
university
15
after primary
16
after secondary
17
technical
18
adult education
Sysmiss
did [NAME] attend school last year?
did [NAME] attend school last year?
did [NAME] attend school last year?
did [NAME] attend school last year?
did [NAME] attend school last year?
9852
9884
1
yes
2
no
Sysmiss
does [NAME] currently attend school?
does [NAME] currently attend school?
does [NAME] currently attend school?
does [NAME] currently attend school?
does [NAME] currently attend school?
9852
9884
1
yes
2
no
Sysmiss
what is [NAMES] current grade?
what is [NAMES] current grade?
what is [NAMES] current grade?
what is [NAMES] current grade?
what is [NAMES] current grade?
4398
15338
pre-school/none
1
primary 1
2
primary 2
3
primary 3
4
primary 4
5
primary 5
6
primary 6
7
primary 7
8
secondary form 1
9
secondary form 2
10
secondary form 3
11
secondary form 4
12
secondary form 5
13
secondary form 6
14
university
15
after primary
16
after secondary
17
technical
18
adult education
Sysmiss
who runs the school that [NAME] attends?]
who runs the school that [NAME] attends?]
who runs the school that [NAME] attends?]
who runs the school that [NAME] attends?]
who runs the school that [NAME] attends?]
4398
15338
1
government
2
church/religious organization
3
private
4
community
5
other
Sysmiss
school problem A: no problem
school problem A: no problem
school problem A: no problem
school problem A: no problem
school problem A: no problem
4398
15338
1
yes
2
no
Sysmiss
school problem B: lack of books/equipment
school problem B: lack of books/equipment
school problem B: lack of books/equipment
school problem B: lack of books/equipment
school problem B: lack of books/equipment
4398
15338
1
yes
2
no
Sysmiss
school problem C: bad teaching
school problem C: bad teaching
school problem C: bad teaching
school problem C: bad teaching
school problem C: bad teaching
4398
15338
1
yes
2
no
Sysmiss
school problem D: lack of teachers
school problem D: lack of teachers
school problem D: lack of teachers
school problem D: lack of teachers
school problem D: lack of teachers
4398
15338
1
yes
2
no
Sysmiss
school problem E: school overcrowded
school problem E: school overcrowded
school problem E: school overcrowded
school problem E: school overcrowded
school problem E: school overcrowded
4398
15338
1
yes
2
no
Sysmiss
school problem F: bad condition of facilities
school problem F: bad condition of facilities
school problem F: bad condition of facilities
school problem F: bad condition of facilities
school problem F: bad condition of facilities
4398
15338
1
yes
2
no
Sysmiss
school problem G: other problems
school problem G: other problems
school problem G: other problems
school problem G: other problems
school problem G: other problems
4398
15338
1
yes
2
no
Sysmiss
reason not currently attending school
reason not currently attending school
reason not currently attending school
reason not currently attending school
reason not currently attending school
5454
14282
1
mkubwa sana/completed
2
too far
3
too expensive
4
domestic worker/working
5
no need
6
ill
7
pregnant
8
failed exams
9
married
10
kuchapwa
11
other'
Sysmiss
for women above 12: did she have a live birth in the past 12 months?
for women above 12: did she have a live birth in the past 12 months?
for women above 12: did she have a live birth in the past 12 months?
for women above 12: did she have a live birth in the past 12 months?
for women above 12: did she have a live birth in the past 12 months?
5521
14215
1
yes
2
no
Sysmiss
did she receive pre-natal care?
did she receive pre-natal care?
did she receive pre-natal care?
did she receive pre-natal care?
did she receive pre-natal care?
655
19081
1
yes
2
no
Sysmiss
does [NAME] have any physical or mental handicap?
does [NAME] have any physical or mental handicap?
does [NAME] have any physical or mental handicap?
does [NAME] have any physical or mental handicap?
does [NAME] have any physical or mental handicap?
19736
1
yes
2
no
was [NAME] sick or injured in the last 4 weeks
was [NAME] sick or injured in the last 4 weeks
was [NAME] sick or injured in the last 4 weeks
was [NAME] sick or injured in the last 4 weeks
was [NAME] sick or injured in the last 4 weeks
19736
1
yes
2
no
type A: fever/malaria
type A: fever/malaria
type A: fever/malaria
type A: fever/malaria
type A: fever/malaria
2600
17136
1
yes
2
no
Sysmiss
type B: diarrhoea
type B: diarrhoea
type B: diarrhoea
type B: diarrhoea
type B: diarrhoea
2600
17136
1
yes
2
no
Sysmiss
type C: accident
type C: accident
type C: accident
type C: accident
type C: accident
2600
17136
1
yes
2
no
Sysmiss
type D: teeth
type D: teeth
type D: teeth
type D: teeth
type D: teeth
2600
17136
1
yes
2
no
Sysmiss
type E: skin condition
type E: skin condition
type E: skin condition
type E: skin condition
type E: skin condition
2600
17136
1
yes
2
no
Sysmiss
type F: eye
type F: eye
type F: eye
type F: eye
type F: eye
2600
17136
1
yes
2
no
Sysmiss
type G: ear, nose, throat
type G: ear, nose, throat
type G: ear, nose, throat
type G: ear, nose, throat
type G: ear, nose, throat
2600
17136
1
yes
2
no
Sysmiss
type H: chronic condition
type H: chronic condition
type H: chronic condition
type H: chronic condition
type H: chronic condition
2600
17136
1
yes
2
no
Sysmiss
how long was [NAME] absent from school/work due to illness/injury
how long was [NAME] absent from school/work due to illness/injury
how long was [NAME] absent from school/work due to illness/injury
how long was [NAME] absent from school/work due to illness/injury
how long was [NAME] absent from school/work due to illness/injury
2600
17136
1
none
2
1 week or less
3
1 to 2 weeks
4
more than 2 weeks
Sysmiss
did [NAME] consult a health provider or traditional healer?
did [NAME] consult a health provider or traditional healer?
did [NAME] consult a health provider or traditional healer?
did [NAME] consult a health provider or traditional healer?
did [NAME] consult a health provider or traditional healer?
19736
1
yes
2
no
kind of health provider [NAME] consulted
kind of health provider [NAME] consulted
kind of health provider [NAME] consulted
kind of health provider [NAME] consulted
kind of health provider [NAME] consulted
4115
15621
1
private dispensary/hospital
2
public dispensary/hospital
3
community health center
4
private doctor/dentist
5
traditional healer
6
regional hospital
7
missionary hospital/dispensary
8
pharmacist/chemist
9
other
Sysmiss
times [NAME] used the service in the last 4 weeks?
times [NAME] used the service in the last 4 weeks?
times [NAME] used the service in the last 4 weeks?
times [NAME] used the service in the last 4 weeks?
times [NAME] used the service in the last 4 weeks?
4115
15621
1
1 to 3
2
4 to 6
3
more than 6
Sysmiss
[NAME] was not dissatisfied when using this health provider
[NAME] was not dissatisfied when using this health provider
[NAME] was not dissatisfied when using this health provider
[NAME] was not dissatisfied when using this health provider
[NAME] was not dissatisfied when using this health provider
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: lack of hygiene
[NAME] was dissatisfied: lack of hygiene
[NAME] was dissatisfied: lack of hygiene
[NAME] was dissatisfied: lack of hygiene
[NAME] was dissatisfied: lack of hygiene
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: long wait
[NAME] was dissatisfied: long wait
[NAME] was dissatisfied: long wait
[NAME] was dissatisfied: long wait
[NAME] was dissatisfied: long wait
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: shortage of trained professionals
[NAME] was dissatisfied: shortage of trained professionals
[NAME] was dissatisfied: shortage of trained professionals
[NAME] was dissatisfied: shortage of trained professionals
[NAME] was dissatisfied: shortage of trained professionals
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: cost
[NAME] was dissatisfied: cost
[NAME] was dissatisfied: cost
[NAME] was dissatisfied: cost
[NAME] was dissatisfied: cost
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: no drugs available
[NAME] was dissatisfied: no drugs available
[NAME] was dissatisfied: no drugs available
[NAME] was dissatisfied: no drugs available
[NAME] was dissatisfied: no drugs available
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: unsuccesful treatment
[NAME] was dissatisfied: unsuccesful treatment
[NAME] was dissatisfied: unsuccesful treatment
[NAME] was dissatisfied: unsuccesful treatment
[NAME] was dissatisfied: unsuccesful treatment
4115
15621
1
yes
2
no
Sysmiss
[NAME] was dissatisfied: lack of supplies
[NAME] was dissatisfied: lack of supplies
[NAME] was dissatisfied: lack of supplies
[NAME] was dissatisfied: lack of supplies
[NAME] was dissatisfied: lack of supplies
4115
15621
1
yes
2
no
Sysmiss
why [NAME] not use medical care in past 4 weeks? NO NEED
why [NAME] not use medical care in past 4 weeks? NO NEED
why [NAME] not use medical care in past 4 weeks? NO NEED
why [NAME] not use medical care in past 4 weeks? NO NEED
why [NAME] not use medical care in past 4 weeks? NO NEED
18616
1120
1
yes
2
no
Sysmiss
why [NAME] not use medical care in past 4 weeks? TOO EXPENSIVE
why [NAME] not use medical care in past 4 weeks? TOO EXPENSIVE
why [NAME] not use medical care in past 4 weeks? TOO EXPENSIVE
why [NAME] not use medical care in past 4 weeks? TOO EXPENSIVE
why [NAME] not use medical care in past 4 weeks? TOO EXPENSIVE
18616
1120
1
yes
2
no
Sysmiss
why [NAME] not use medical care in past 4 weeks? TOO FAR
why [NAME] not use medical care in past 4 weeks? TOO FAR
why [NAME] not use medical care in past 4 weeks? TOO FAR
why [NAME] not use medical care in past 4 weeks? TOO FAR
why [NAME] not use medical care in past 4 weeks? TOO FAR
18616
1120
1
yes
2
no
Sysmiss
if age>=5: did [NAME] do any type of work in the past 7 days?
if age>=5: did [NAME] do any type of work in the past 7 days?
if age>=5: did [NAME] do any type of work in the past 7 days?
if age>=5: did [NAME] do any type of work in the past 7 days?
if age>=5: did [NAME] do any type of work in the past 7 days?
16464
3272
1
yes
2
no
Sysmiss
was [NAME] absent from work in the past 7 days?
was [NAME] absent from work in the past 7 days?
was [NAME] absent from work in the past 7 days?
was [NAME] absent from work in the past 7 days?
was [NAME] absent from work in the past 7 days?
7860
11876
1
yes
2
no
Sysmiss
was [NAME] looking and available for work in the last 4 weeks?
was [NAME] looking and available for work in the last 4 weeks?
was [NAME] looking and available for work in the last 4 weeks?
was [NAME] looking and available for work in the last 4 weeks?
was [NAME] looking and available for work in the last 4 weeks?
7859
11877
1
yes
2
no
Sysmiss
what was main reaon [NAME] was not working in the past 7 days
what was main reaon [NAME] was not working in the past 7 days
what was main reaon [NAME] was not working in the past 7 days
what was main reaon [NAME] was not working in the past 7 days
what was main reaon [NAME] was not working in the past 7 days
7859
11877
1
no work available
2
seasonal inactivity
3
student
4
household/family duties
5
too old/too young
6
infirmity
7
other
Sysmiss
how many jobs did [NAME] have in the past 7 days?
how many jobs did [NAME] have in the past 7 days?
how many jobs did [NAME] have in the past 7 days?
how many jobs did [NAME] have in the past 7 days?
how many jobs did [NAME] have in the past 7 days?
8604
11132
1
one
2
two
3
more than two
Sysmiss
how was [NAME] paid in the main job?
how was [NAME] paid in the main job?
how was [NAME] paid in the main job?
how was [NAME] paid in the main job?
how was [NAME] paid in the main job?
8604
11132
1
wage/salary/payment in kind
2
casual (hourly/daily)
3
unpaid contributing worker
4
self-employed
Sysmiss
for whom did [NAME] work in main job?
for whom did [NAME] work in main job?
for whom did [NAME] work in main job?
for whom did [NAME] work in main job?
for whom did [NAME] work in main job?
8605
11131
1
government
2
parastatal
3
private business
4
private person or household
5
self-employed
Sysmiss
what is main activity at the place of [NAME]'s main job
what is main activity at the place of [NAME]'s main job
what is main activity at the place of [NAME]'s main job
what is main activity at the place of [NAME]'s main job
what is main activity at the place of [NAME]'s main job
8605
11131
1
agriculture
2
mining/quarrying
3
manufacturing/processing
4
construction
5
transport
6
trade, selling
7
services
8
education/health
9
administration
10
other
Sysmiss
did [NAME] seek to increase his or her earnings in the past 7 days?
did [NAME] seek to increase his or her earnings in the past 7 days?
did [NAME] seek to increase his or her earnings in the past 7 days?
did [NAME] seek to increase his or her earnings in the past 7 days?
did [NAME] seek to increase his or her earnings in the past 7 days?
8605
11131
1
yes
2
no
Sysmiss
how did [NAME] seek to increase earnings in the past 7 days?
how did [NAME] seek to increase earnings in the past 7 days?
how did [NAME] seek to increase earnings in the past 7 days?
how did [NAME] seek to increase earnings in the past 7 days?
how did [NAME] seek to increase earnings in the past 7 days?
1911
17825
1
more hours in current activity
2
more hours in additional activity
3
change activity
4
other
Sysmiss
is [NAME] ready to take on additional work in the next 4 weeks?
is [NAME] ready to take on additional work in the next 4 weeks?
is [NAME] ready to take on additional work in the next 4 weeks?
is [NAME] ready to take on additional work in the next 4 weeks?
is [NAME] ready to take on additional work in the next 4 weeks?
1911
17825
1
yes
2
no
Sysmiss
individual weight
individual weight
individual weight
individual weight
individual weight
19736
38.004
1791.555
125.855
136.987
district
district
district
district
district
3243
1
kishapu
2
shinyanga
3
maswa
4
meatu
5
bariadi
6
bukombe
7
kahama
EA number
EA number
EA number
EA number
EA number
3243
101
827
444.28
237.038
urban/rural code
urban/rural code
urban/rural code
urban/rural code
urban/rural code
901
2342
1
rural
2
urban
Sysmiss
urban/rural string
urban/rural string
urban/rural string
urban/rural string
urban/rural string
3243
1
kishapu(u)
2
kishapu(r)
3
shinyanga(u)
4
shinyanga(r)
5
maswa(u)
6
maswa(r)
7
meatu(u)
8
meatu(r)
9
bariadi(u)
10
bariadi(r)
11
bukombe(u)
12
bukombe(r)
13
kahama(u)
14
kahama(r)
household no.
household no.
household no.
household no.
household no.
3243
1
196
9.915
9.309
child number
child number
child number
child number
child number
3243
1
2
3
4
5
6
7
8
9
child ID
child ID
child ID
child ID
child ID
3243
1
29
6.933
3.474
mother ID
mother ID
mother ID
mother ID
mother ID
3243
24
2.535
2.518
date of birth
date of birth
date of birth
date of birth
date of birth
3240
where was child delivered?
where was child delivered?
where was child delivered?
where was child delivered?
where was child delivered?
3243
1
hospital/maternity
2
at home
3
other
who delivered the child?
who delivered the child?
who delivered the child?
who delivered the child?
who delivered the child?
3243
1
doctor
2
nurse
3
midwife
4
t.b.a
5
self/other
child weight
child weight
child weight
child weight
child weight
3233
10
0.9
99
11.111
3.988
child height
child height
child height
child height
child height
3230
13
0.8
691
82.397
17.514
did child participate in any nutrition programmes or weigh-ins?
did child participate in any nutrition programmes or weigh-ins?
did child participate in any nutrition programmes or weigh-ins?
did child participate in any nutrition programmes or weigh-ins?
did child participate in any nutrition programmes or weigh-ins?
3243
1
3243
38.004
1791.555
121.725
114.797