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    Home / Central Data Catalog / GLAMI021 / variable [F12]
central

GLAMI Binti Shupavu Project

Tanzania, 2020
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Reference ID
GLAMI021
Producer(s)
The Girls Livelihood and Mentorship Initiative (GLAMI)
Metadata
DDI/XML JSON
Study website
Created on
Feb 19, 2024
Last modified
May 03, 2024
Page views
78798
Downloads
540
  • Study Description
  • Data Description
  • Downloads
  • Data files
  • Binti Shupavu
    Parent Baseline
    Survey 2018
  • Binti Shupavu
    Scholar
    Baseline Survey
    2018
  • Binti Parents
    Endline 2018 -
    MR Final
  • Binti Scholar
    Endline 2018(1)
  • Binti Scholar
    Midline 2018 -
    MR Final
  • Binti Shupavu
    Baseline
    Demographic
    surveys 2019
  • Binti Shupavu
    Scholar Full
    Baseline Survey
    2019
  • Binti endline
    demographic
    surveys 2019
  • Binti parents
    Endline surveys
  • Binti Shupavu
    endline full
    surveys
  • Binti Shupavu
    demographic
    midlines 2019
  • Binti Midline
    Final Version
    Full Surveys
  • Binti - Parent
    Baselines 2020
  • Binti Baseline
    Demographic
    2020
  • Binti Full
    baselines -
    2020
  • Binti
    demographic
    endlines
    surveys
  • Binti full
    endlines 2020
  • Binti
    Demography
    Midlines 2020
  • Binti Full
    Midline 2020

Parent/guardian job 1 (parentguardianjob1)

Data file: Binti Scholar Midline 2018 - MR Final

Overview

Valid: 278
Invalid: 721
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 65
Format: Numeric

Questions and instructions

Literal question
Parent/guardian job 1
Categories
Value Category Cases
1 Accountant 1
0.1%
2 Agency of measurement 1
0.1%
3 Bar maid 1
0.1%
4 Business 92
9.2%
5 Bussines 1
0.1%
6 Cameraman 1
0.1%
7 Carpenter 4
0.4%
8 Church accountant 1
0.1%
9 Cleaner at tourism house 1
0.1%
10 Clerk 1
0.1%
11 Contraction technician 1
0.1%
12 Cooker at college 1
0.1%
13 Doctor 1
0.1%
14 Driver 6
0.6%
15 Electrician 1
0.1%
16 Engineer 2
0.2%
17 Enteprenuer 5
0.5%
18 Enterpreneur 1
0.1%
19 Enterprenuer 6
0.6%
20 Entreprenuer 1
0.1%
21 Farmer 4
0.4%
22 Garage 3
0.3%
23 Ground officer 1
0.1%
24 Hair dresser 1
0.1%
25 Hair dresser/chef 1
0.1%
26 Hotel secretary 1
0.1%
27 Hoteller 6
0.6%
28 House builder 1
0.1%
29 Labour 1
0.1%
30 Lecture 1
0.1%
31 Main Office 1
0.1%
32 Manson 1
0.1%
33 Mason 1
0.1%
34 Mason and carpenter 2
0.2%
35 Municipal 1
0.1%
36 Painter 1
0.1%
37 Pastor 1
0.1%
38 Pastoralist 3
0.3%
39 Peasant 58
5.8%
40 Petty business 11
1.1%
41 Petty bussines 1
0.1%
42 Police officer 1
0.1%
43 Policeman 3
0.3%
44 Politician 1
0.1%
45 Primary school teacher 1
0.1%
46 Public servant 1
0.1%
47 Regetation 1
0.1%
48 Retired teacher 1
0.1%
49 Shopkeeper 1
0.1%
50 Soldier 1
0.1%
51 Sweeping 1
0.1%
52 Tailor 2
0.2%
53 Teacher 3
0.3%
54 Technician 2
0.2%
55 Unemployed 3
0.3%
56 Welding 1
0.1%
57 Worker at Bonite factory 1
0.1%
58 housewife 4
0.4%
59 nurse 1
0.1%
60 pastoralist 2
0.2%
61 peasant 12
1.2%
62 petty bussines and peasant 1
0.1%
63 phamacist 1
0.1%
64 watch man 1
0.1%
65 worker at TPC 2
0.2%
Sysmiss 721
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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