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    Home / Central Data Catalog / TZA_2011_ELAIE_V01_M / variable [F4]
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Survey for Adolescent Development Programme - 2009-2011
Baseline and Follow-up Impact Evaluation Surveys

Tanzania, 2009 - 2011
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Reference ID
TZA_2011_ELAIE_v01_M
Producer(s)
Niklas Buehren, Markus Goldstein, Selim Gulesci, Munshi Sulaiman, Venus Yam
Metadata
DDI/XML JSON
Study website
Created on
Aug 28, 2024
Last modified
Aug 28, 2024
Page views
21142
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  • Study Description
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  • ela_tz_bl_adolescent
  • ela_tz_bl_household
  • ela_tz_bl_roster
  • ela_tz_follow_up_adolescent
  • ela_tz_follow_up_household

Female employement opportunity in community 1 (s2e_1a)

Data file: ela_tz_follow_up_adolescent

Overview

Valid: 3158
Invalid: 34
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 0
Width: 56
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 housewife 47
1.5%
2 hh land cultivation 33
1%
3 laborer on someone else's land 14
0.4%
4 non-agri day laborer 16
0.5%
5 factory worker 18
0.6%
6 livestock husbandary 49
1.6%
7 poultry husbandry 18
0.6%
8 vegetable/nursery farming for sale 22
0.7%
9 fisherman 7
0.2%
10 maid 289
9.2%
11 food preocessing for sale 161
5.1%
12 stitching/handicraft 252
8%
13 driver (bus, taxi, boda boda) 15
0.5%
14 street vendor 164
5.2%
15 owner of shop/restaurant/hotel 69
2.2%
16 worker in shop/hotel/restaurant 36
1.1%
17 owner of small business 150
4.7%
18 owner of large scale business (industry/wholesale 192
6.1%
19 skilled labor (carpenter, blacksmith, potter, weaver ... 23
0.7%
20 community health worker (midwife, ss, tba) 211
6.7%
21 teacher 165
5.2%
22 professionals (doctor/engineer/advocate) 729
23.1%
23 manager/adminstrator in gov 224
7.1%
24 22
0.7%
25 clerk/employee in private/ngo/un 52
1.6%
26 clerk/employee in gov 28
0.9%
27 politician 108
3.4%
28 priest 40
1.3%
29 student 2
0.1%
30 beggar 0
0%
31 unemployed, looking for work 0
0%
32 not looking for work/unable to work/retired 0
0%
33 renting out land 1
0%
34 renting out non-land assets 0
0%
36 1
0%
Sysmiss 34
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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