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    Home / Central Data Catalog / GLAMI021 / variable [V357]
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
79137
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

Family district of origin (familydistrictoforigin)

Data file: Binti Shupavu Scholar Baseline Survey 2018

Overview

Valid: 1305
Invalid: 127
Type: Discrete
Decimal: 0
Width: 3
Range: 1 - 103
Format: Numeric

Questions and instructions

Literal question
Family district of origin
Categories
Value Category Cases
1 Arumeru 43
3%
2 Arumeru- Arusha Dc 1
0.1%
3 Arumeru/ Monduli 1
0.1%
4 Arusah Dc 1
0.1%
5 Arusha 222
15.5%
6 Arusha 9
0.6%
7 Arusha D c 1
0.1%
8 Arusha DC 21
1.5%
9 Arusha Dc 123
8.6%
10 Arusha Jiji 6
0.4%
11 Arusha mjini 2
0.1%
12 Arusha vijijini 12
0.8%
13 Arushs 2
0.1%
14 Babati 3
0.2%
15 Buganzo 1
0.1%
16 Bukoba 1
0.1%
17 Bunbuli 1
0.1%
18 Bunda 1
0.1%
19 Bunda 1
0.1%
20 Bunda B 1
0.1%
21 Chemchem 1
0.1%
22 Chunya 2
0.1%
23 Dar -es-salaam 2
0.1%
24 Dodoma 3
0.2%
25 Endanoga 1
0.1%
26 Fumvuhu 1
0.1%
27 Gezaulole 1
0.1%
28 Hai 28
2%
29 Hanang 1
0.1%
30 Handeni 2
0.1%
31 Haydom 1
0.1%
32 Igandu 1
0.1%
33 Iguguno 1
0.1%
34 Ilboru 1
0.1%
35 Ilemela 1
0.1%
36 Iringa 4
0.3%
37 Jiji 1
0.1%
38 Kahama 2
0.1%
39 Kahe 1
0.1%
40 Karatu 4
0.3%
41 Kibondo 1
0.1%
42 Kigoma 1
0.1%
43 Kigoma Vijijini 1
0.1%
44 Kikuyu 1
0.1%
45 Kilala 1
0.1%
46 Kilimanjaro 39
2.7%
47 Kilindi 1
0.1%
48 Kindi 1
0.1%
49 Kinondoni 3
0.2%
50 Kondoa 1
0.1%
51 Korogwe 5
0.3%
52 Kyela 1
0.1%
53 Lembeni 1
0.1%
54 Lushoto 2
0.1%
55 Makaomapya 1
0.1%
56 Mavinuni 1
0.1%
57 Mbeya 3
0.2%
58 Mbozi 1
0.1%
59 Mbulu 3
0.2%
60 Mchongomani 1
0.1%
61 Meru 78
5.4%
62 Mheza 1
0.1%
63 Mirerani 1
0.1%
64 Mkoa 1
0.1%
65 Mnazi 1
0.1%
66 Mombo 1
0.1%
67 Monduli 209
14.6%
68 Morogoro 1
0.1%
69 Moshi 88
6.1%
70 Moshi 4
0.3%
71 Moshi Manispal 59
4.1%
72 Moshi Mjini 29
2%
73 Moshi Vijijini 116
8.1%
74 Moshi vijijini 1
0.1%
75 Mpwapwa 2
0.1%
76 Mtimoja 1
0.1%
77 Mtwara 1
0.1%
78 Muriet 1
0.1%
79 Musoma 4
0.3%
80 Mwanga 52
3.6%
81 Ngorongoro 3
0.2%
82 Olkokola 2
0.1%
83 Rombo 27
1.9%
84 Sakami 1
0.1%
85 Same 9
0.6%
86 Sanya 1
0.1%
87 Selda 1
0.1%
88 Sengerema 2
0.1%
89 Serengeti 2
0.1%
90 Shinyanga 1
0.1%
91 Siha 1
0.1%
92 Sijui 1
0.1%
93 Simanjiro 3
0.2%
94 Singida 6
0.4%
95 Sombetini 1
0.1%
96 Songea 2
0.1%
97 Songea Mjini 1
0.1%
98 Sumbawanga 1
0.1%
99 Tabora 1
0.1%
100 Tagamenda 1
0.1%
101 Tanga 3
0.2%
102 Tarime 2
0.1%
103 Uswahili 1
0.1%
Sysmiss 127
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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