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    Home / Central Data Catalog / GLAMI021 / variable [V435]
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
78821
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

District (district)

Data file: Binti Scholar Endline 2018(1)

Overview

Valid: 288
Invalid: 711
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 27
Format: Numeric

Questions and instructions

Literal question
District
Categories
Value Category Cases
1 Arumeru 6
0.6%
2 Arusha-Mjini 1
0.1%
3 Babati 1
0.1%
4 Hai 17
1.7%
5 Ilala 2
0.2%
6 Karatu 2
0.2%
7 Kilakala 1
0.1%
8 Kinondoni 4
0.4%
9 Kondoa 1
0.1%
10 Korogwe 1
0.1%
11 Mazimbu 1
0.1%
12 Meru 1
0.1%
13 Mji Mwema 1
0.1%
14 Moshi 188
18.8%
15 Moshi-Mjini 24
2.4%
16 Moshii 1
0.1%
17 Moshiu 1
0.1%
18 Mvomero 1
0.1%
19 Mwanga 1
0.1%
20 Pugu 1
0.1%
21 Rombo 19
1.9%
22 Same 2
0.2%
23 Serengeti 1
0.1%
24 Siha 4
0.4%
25 Simanjiro 4
0.4%
26 Tanga-Mjini 1
0.1%
27 Temeke 1
0.1%
Sysmiss 711
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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