Home / Central Data Catalog / UGA_2016_UNHS_V01_M / variable [F31]
central

National Household Survey 2016-2017

Uganda, 2016 - 2017
Get Microdata
Reference ID
UGA_2016_UNHS_v01_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
52160
Downloads
532

District Code (s1aq2b)

Data file: GSEC9.dta

Overview

Valid: 15636
Invalid: -
Minimum: 101
Maximum: 426
Type: Discrete
Decimal: 0
Width: 20
Range: 101 - 426
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 KALANGALA 26
0.2%
102 KAMPALA 793
5.1%
103 KIBOGA 68
0.4%
104 LUWERO 176
1.1%
105 MASAKA 103
0.7%
106 MPIGI 94
0.6%
107 MUBENDE 255
1.6%
108 MUKONO 238
1.5%
109 NAKASONGOLA 63
0.4%
110 RAKAI 161
1%
111 SSEMBABULE 81
0.5%
112 KAYUNGA 112
0.7%
113 WAKISO 726
4.6%
114 LYANTONDE 28
0.2%
115 MITYANA 147
0.9%
116 NAKASEKE 75
0.5%
117 BUIKWE 200
1.3%
118 BUKOMANSIMBI 55
0.4%
119 BUTAMBALA 28
0.2%
120 BUVUMA 26
0.2%
121 GOMBA 55
0.4%
122 KALUNGU 56
0.4%
123 KYANKWANZI 75
0.5%
124 LWENGO 87
0.6%
201 Bugiri 153
1%
202 Busia 183
1.2%
203 Iganga 215
1.4%
204 Jinja 244
1.6%
205 Kamuli 189
1.2%
206 Kapchorwa 48
0.3%
207 Katakwi 77
0.5%
208 Kumi 128
0.8%
209 Mbale 321
2.1%
210 Pallisa 154
1%
211 Soroti 172
1.1%
212 Tororo 291
1.9%
213 Kaberamaido 95
0.6%
214 Mayuge 170
1.1%
215 Sironko 142
0.9%
216 Amuria 132
0.8%
217 Budaka 100
0.6%
218 Bududa 97
0.6%
219 Bukedea 96
0.6%
220 Bukwo 44
0.3%
221 Butaleja 121
0.8%
222 Kaliro 81
0.5%
223 Manafwa 197
1.3%
224 Namutumba 66
0.4%
225 Bulambuli 92
0.6%
226 BUYENDE 121
0.8%
227 Kibuku 92
0.6%
228 Kween 46
0.3%
229 LUUKA 93
0.6%
230 NAMAYINGO 96
0.6%
231 Ngora 63
0.4%
232 Serere (from soroti) 112
0.7%
301 Adjumani 107
0.7%
302 Apac 204
1.3%
303 Arua 349
2.2%
304 Gulu 276
1.8%
305 Kitgum 132
0.8%
306 Kotido 120
0.8%
307 Lira 316
2%
308 Moroto 77
0.5%
309 Moyo 69
0.4%
310 Nebbi 191
1.2%
311 Nakapiripirit 88
0.6%
312 Pader 86
0.6%
313 Yumbe 151
1%
314 Abim 57
0.4%
315 Amolator 83
0.5%
316 Amuru 82
0.5%
317 Dokolo 104
0.7%
318 Kaabong 113
0.7%
319 Koboko 105
0.7%
320 Maracha 80
0.5%
321 Oyam 197
1.3%
322 Agago 123
0.8%
323 Alebtong 124
0.8%
324 Amudat 63
0.4%
325 Kole 126
0.8%
326 Lamwo 73
0.5%
327 Napak 107
0.7%
328 Nwoya 52
0.3%
329 Otuke (from Lira) 66
0.4%
330 Zombo 118
0.8%
401 Bundibugyo 93
0.6%
402 Bushenyi 95
0.6%
403 Hoima 324
2.1%
404 Kabale 247
1.6%
405 Kabarole 240
1.5%
406 Kasese 296
1.9%
407 Kibaale 398
2.5%
408 Kisoro 135
0.9%
409 Masindi 152
1%
410 Mbarara 200
1.3%
411 Ntugamo 177
1.1%
412 Rukungiri 143
0.9%
413 Kamwenge 159
1%
414 Kanungu 131
0.8%
415 Kyenjojo 180
1.2%
416 Buliisa 36
0.2%
417 Ibanda 107
0.7%
418 Isingiro 143
0.9%
419 Kiruhura 116
0.7%
420 Buhweju 48
0.3%
421 Kiryandongo 93
0.6%
422 KYEGEGWA 95
0.6%
423 Mitooma 71
0.5%
424 NTOROKO 25
0.2%
425 Rubirizi 46
0.3%
426 Sheema 88
0.6%
427 KAGADI 0
0%
428 KAKUMIRO 0
0%
429 RUBANDA 0
0%
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