Home / Central Data Catalog / KISA_PROJECT / variable [V160]
central

Kisa Project

Tanzania, 2019 - 2021
Get Microdata
Reference ID
KISA_PROJECT
Producer(s)
The Girls Livelihood and Mentorship Initiative (GLAMI)
Metadata
DDI/XML JSON
Study website
Created on
Feb 19, 2024
Last modified
Feb 19, 2024
Page views
57861
Downloads
330

Current Ward (currentWard)

Data file: Kisa Baseline 2016

Overview

Valid: 402
Invalid: 40
Type: Discrete
Decimal: 0
Width: 3
Range: 1 - 284
Format: Numeric

Questions and instructions

Literal question
Current Ward
Categories
Value Category Cases
1 Aicc 1
0.2%
2 Akeri 1
0.2%
3 Akheri 1
0.2%
4 Aleni Chini 1
0.2%
5 Amani 1
0.2%
6 Arumeru 6
1.4%
7 Arusha 5
1.1%
8 Arusha Mjini 1
0.2%
9 Arusha Municipal 1
0.2%
10 Babati 1
0.2%
11 Baraa 1
0.2%
12 Barai 1
0.2%
13 Barazani 1
0.2%
14 Boma 1
0.2%
15 Bondeni 1
0.2%
16 Buhongwa 2
0.5%
17 Bukoli 1
0.2%
18 Bunju 2
0.5%
19 Buswelu 2
0.5%
20 Butiama 1
0.2%
21 Buzuruga 1
0.2%
22 Bwanjai 1
0.2%
23 Chanika 1
0.2%
24 Cheyo 1
0.2%
25 Chumbageni 1
0.2%
26 City Center 1
0.2%
27 Dar Street 1
0.2%
28 Dareda 3
0.7%
29 Dochi 1
0.2%
30 Emairete 1
0.2%
31 Engutoto 8
1.8%
32 Gararagua 2
0.5%
33 Genge 1
0.2%
34 Gombo La Mboto 1
0.2%
35 Hedaru 1
0.2%
36 Himo 1
0.2%
37 Hoahoa 1
0.2%
38 Igawilo 1
0.2%
39 Igoma 1
0.2%
40 Igowole 1
0.2%
41 Igunga 1
0.2%
42 Igurusi 1
0.2%
43 Ihanja 2
0.5%
44 Ikuini 1
0.2%
45 Ilala 1
0.2%
46 Ilemela 1
0.2%
47 Ilomba 1
0.2%
48 Jogoo 1
0.2%
49 Kabuku Ndani 1
0.2%
50 Kahama Town 1
0.2%
51 Kalangalala 1
0.2%
52 Kalenge 1
0.2%
53 Kaliua 1
0.2%
54 Kaloleni 3
0.7%
55 Kalumbulu 1
0.2%
56 Kamnyonge 1
0.2%
57 Kanazi 1
0.2%
58 Kange 1
0.2%
59 Karatu 1
0.2%
60 Kashaulili 1
0.2%
61 Katesh 1
0.2%
62 Kawe 4
0.9%
63 Kcmc 2
0.5%
64 Kia 1
0.2%
65 Kibaoni 1
0.2%
66 Kibo 1
0.2%
67 Kiboriloni 2
0.5%
68 Kifuru 1
0.2%
69 Kigamboni 2
0.5%
70 Kigogo 1
0.2%
71 Kigoma 1
0.2%
72 Kihonda 4
0.9%
73 Kijenge Juu 1
0.2%
74 Kijichi 1
0.2%
75 Kilolo 1
0.2%
76 Kilungule 1
0.2%
77 Kimali 1
0.2%
78 Kimandolu 3
0.7%
79 Kimara 3
0.7%
80 Kimochi 1
0.2%
81 Kimsrs Stop Over 1
0.2%
82 Kindai 1
0.2%
83 Kinondoni 3
0.7%
84 Kinyerezi 1
0.2%
85 Kiomboi 1
0.2%
86 Kipawa 1
0.2%
87 Kiranyi 3
0.7%
88 Kirua 1
0.2%
89 Kirua Vunjo 1
0.2%
90 Kirwa Keni 1
0.2%
91 Kirwa-Keni 1
0.2%
92 Kisangara 1
0.2%
93 Kisarawe 1
0.2%
94 Kisesa 1
0.2%
95 Kisongo 1
0.2%
96 Kitunda 1
0.2%
97 Kizota 1
0.2%
98 Kola B 1
0.2%
99 Komolo 1
0.2%
100 Kongowe 2
0.5%
101 Kwa Iddi 1
0.2%
102 Kwa Mtei 1
0.2%
103 Kwediboma 1
0.2%
104 Lashaini 1
0.2%
105 Lolkisale 1
0.2%
106 Lolovono 1
0.2%
107 Mabibo 1
0.2%
108 Mabogini 1
0.2%
109 Machame 1
0.2%
110 Machame 2
0.5%
111 Machame Mashariki 1
0.2%
112 Machame Uroki 1
0.2%
113 Madibira 1
0.2%
114 Magadini 1
0.2%
115 Magogoni 1
0.2%
116 Magomeni 1
0.2%
117 Mailimoja 1
0.2%
118 Mainer 1
0.2%
119 Majengo 3
0.7%
120 Majumbasita 1
0.2%
121 Makabe 1
0.2%
122 Makambako 1
0.2%
123 Makanya 1
0.2%
124 Makao mapya 1
0.2%
125 Makongo 1
0.2%
126 Makuyuni 2
0.5%
127 Malambo 1
0.2%
128 Mang'Onyi 1
0.2%
129 Mangula 1
0.2%
130 Manundu 1
0.2%
131 Marangu 2
0.5%
132 Maroroni 1
0.2%
133 Masama 1
0.2%
134 Mashati 2
0.5%
135 Matangini 1
0.2%
136 Matevesi 1
0.2%
137 Mawindi 1
0.2%
138 Mazimbu 2
0.5%
139 Mbagala 3
0.7%
140 Mbaramo 1
0.2%
141 Mbezi 3
0.7%
142 Mbezi Beach 2
0.5%
143 Mbezi Luis 1
0.2%
144 Mbezi Mwisho 1
0.2%
145 Mbugani 1
0.2%
146 Mbuguni 1
0.2%
147 Mchango 1
0.2%
148 Mererani 2
0.5%
149 Meru 1
0.2%
150 Meserani 1
0.2%
151 Milenia Ya Tatu 1
0.2%
152 Mingoyo 1
0.2%
153 Minyasa 1
0.2%
154 Misheroro 1
0.2%
155 Mitunduruni 1
0.2%
156 Mji Mwema 1
0.2%
157 Mkalama 1
0.2%
158 Mkoko 1
0.2%
159 Mlandizi 1
0.2%
160 Mnadani 1
0.2%
161 Mnenia 1
0.2%
162 Moipo 1
0.2%
163 Moipo 1
0.2%
164 Moivaro 1
0.2%
165 Moivo 1
0.2%
166 Monduli 3
0.7%
167 Mongola 1
0.2%
168 Morogoro 1
0.2%
169 Morombo 7
1.6%
170 Moshi 2
0.5%
171 Moshi Municipal 1
0.2%
172 Moshono 3
0.7%
173 Mpanda 2
0.5%
174 Mramba 1
0.2%
175 Msaranga 3
0.7%
176 Mt Meru Hospital 1
0.2%
177 Muleba 1
0.2%
178 Mungushi 1
0.2%
179 Muriet 1
0.2%
180 Mwainjuma 1
0.2%
181 Mwanama 1
0.2%
182 Mwanga 3
0.7%
183 Mwanga Kusini 1
0.2%
184 Mzingani 1
0.2%
185 Namanga 2
0.5%
186 Nambala 1
0.2%
187 Namelock 1
0.2%
188 Ngangamfumuni 1
0.2%
189 Ngaramtoni 3
0.7%
190 Ngarenanyuki 1
0.2%
191 Ngarenaro 1
0.2%
192 Ngoaranga 1
0.2%
193 Ngokolo 1
0.2%
194 Ngolonga 1
0.2%
195 Ngulelo 1
0.2%
196 Ngusero 1
0.2%
197 Njiro 2
0.5%
198 Njoro 1
0.2%
199 Nkoaranga 3
0.7%
200 Nronga 1
0.2%
201 Nyakabungo 1
0.2%
202 Nyamirembe 1
0.2%
203 Nyololo 1
0.2%
204 Nzega Magharibi 1
0.2%
205 Nzega Town 1
0.2%
206 Olacity 1
0.2%
207 Olasiti kati 1
0.2%
208 Oldonyosambu 1
0.2%
209 Olgosoro 1
0.2%
210 Olgosorok 1
0.2%
211 Oloirien 2
0.5%
212 Olorein 1
0.2%
213 Olorien 1
0.2%
214 Orgosorok 1
0.2%
215 Orjoro 1
0.2%
216 Picha Ya Ndege 1
0.2%
217 Poli 1
0.2%
218 Pugu 1
0.2%
219 Rose Garden 1
0.2%
220 Ruvu 1
0.2%
221 Sabasaba 1
0.2%
222 Sakina 2
0.5%
223 Sale 1
0.2%
224 Sambarai 1
0.2%
225 Sanawari 1
0.2%
226 Saranga 1
0.2%
227 Seela 1
0.2%
228 Segerea 3
0.7%
229 Sepeko 9
2%
230 Seuta 1
0.2%
231 Shanty 1
0.2%
232 Siha 1
0.2%
233 Sing'Isi 1
0.2%
234 Singida 1
0.2%
235 Sinon 2
0.5%
236 Sinoni Lemara 1
0.2%
237 Sinza 1
0.2%
238 Sinza C 1
0.2%
239 Sokon 1
0.2%
240 Sokon 1 1
0.2%
241 Sokoni 1 madukani 1
0.2%
242 Sokoni I 1
0.2%
243 Sombetini 10
2.3%
244 Songea 1
0.2%
245 Songoro 1
0.2%
246 Soni 1
0.2%
247 South Kilema 1
0.2%
248 Soweto 3
0.7%
249 Sweya Nyegezi 1
0.2%
250 Tabata 4
0.9%
251 Tanga 1
0.2%
252 Temboni 1
0.2%
253 Temeke 2
0.5%
254 Temi 1
0.2%
255 Tengeru 1
0.2%
256 Themi 4
0.9%
257 Toangoma 1
0.2%
258 Tungi 1
0.2%
259 Ubungo 1
0.2%
260 Ugweno 1
0.2%
261 Ukonga 2
0.5%
262 Umbwe 1
0.2%
263 Unga Ltd 2
0.5%
264 Ungalimited 1
0.2%
265 Uruwa 1
0.2%
266 Usa River 1
0.2%
267 Usa river 1
0.2%
268 Useri 1
0.2%
269 Ushiri 2
0.5%
270 Ushokola 1
0.2%
271 Utemini 1
0.2%
272 Uti Usongwe 1
0.2%
273 Utiri 1
0.2%
274 Uwanja 1
0.2%
275 Uwiro 1
0.2%
276 Uzunguni 1
0.2%
277 Vigoa 1
0.2%
278 Village 1
0.2%
279 Vuga 1
0.2%
280 Yombo Vituka 1
0.2%
281 Zaire kati 1
0.2%
282 Zavala 1
0.2%
283 kwasadala 1
0.2%
284 lashaine 7
1.6%
Sysmiss 40
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.
Back to Catalog