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    Home / Central Data Catalog / GLAMI021 / variable [F8]
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
75937
Downloads
526
  • 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 of birth (districtofbirth)

Data file: Binti Shupavu Parent Baseline Survey 2018

Overview

Valid: 597
Invalid: 11
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 86
Format: Numeric

Questions and instructions

Literal question
District of birth
Categories
Value Category Cases
1 loinyeye 1
0.2%
2 Ambureni 1
0.2%
3 Arkaria 1
0.2%
4 Arumeru 109
17.9%
5 Arungu 1
0.2%
6 Arusha 169
27.8%
7 Arusha 2
0.3%
8 Arusha DC 64
10.5%
9 Arusha Vijijini DC 1
0.2%
10 Arusha kijijini 1
0.2%
11 Babati 12
2%
12 Chamwino 1
0.2%
13 Chemba 1
0.2%
14 Daraja II 1
0.2%
15 Dodoma mjini 1
0.2%
16 Hai 6
1%
17 Hanang 1
0.2%
18 Handeni 4
0.7%
19 Ilongero 1
0.2%
20 Iramba 2
0.3%
21 Iringa 1
0.2%
22 Iringa vijijini 1
0.2%
23 Karatu 5
0.8%
24 Kibondo 1
0.2%
25 Kibosho 1
0.2%
26 Kilimanjaro 4
0.7%
27 Kimyaki 1
0.2%
28 Kinondoni 1
0.2%
29 Kiruw 1
0.2%
30 Kisongo 1
0.2%
31 Kondoa 5
0.8%
32 Korogwe 1
0.2%
33 Kyela 1
0.2%
34 Longodo 1
0.2%
35 Lushoto 1
0.2%
36 Machame 1
0.2%
37 Maembe 1
0.2%
38 Magugu 1
0.2%
39 Manyara 1
0.2%
40 Mara 1
0.2%
41 Mbulu 4
0.7%
42 Meru 33
5.4%
43 Miatu 1
0.2%
44 Mikindani 1
0.2%
45 Mkinga 1
0.2%
46 Mkinga-Tanga 1
0.2%
47 Monduli 70
11.5%
48 Monduli 1
0.2%
49 Morogoro 1
0.2%
50 Moshi 9
1.5%
51 Moshi mjini 1
0.2%
52 Moshi vijijini 12
2%
53 Msisi 1
0.2%
54 Musoma 1
0.2%
55 Musoma mjini 1
0.2%
56 Mwanga 2
0.3%
57 Mwanza 1
0.2%
58 Mwasi 1
0.2%
59 Ngara 1
0.2%
60 Nyamagana 1
0.2%
61 Olarashi 1
0.2%
62 Olasiti 1
0.2%
63 Olgilai 1
0.2%
64 Olkungwado 1
0.2%
65 Olmoth 1
0.2%
66 Pare 1
0.2%
67 Rombo 9
1.5%
68 Rorya 2
0.3%
69 Sabasaba 1
0.2%
70 Same 2
0.3%
71 Serengeti 1
0.2%
72 Shinyanga mjini 1
0.2%
73 Siha 1
0.2%
74 Simanjiro 1
0.2%
75 Simiu 1
0.2%
76 Singida 4
0.7%
77 Singida vijijini 3
0.5%
78 Sngida vijijini 1
0.2%
79 Tabora 1
0.2%
80 Tanga 1
0.2%
81 Tarime 2
0.3%
82 Tukuyu 1
0.2%
83 Unyakye 1
0.2%
84 Urambo 1
0.2%
85 Urambo Tabora 1
0.2%
86 monduli 1
0.2%
Sysmiss 11
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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