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National Household Survey 2016-2017

Uganda, 2016 - 2017
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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
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30574
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District Code (s1aq2b)

Data file: GSEC1.dta

Overview

Valid: 15912
Invalid: -
Minimum: 101
Maximum: 426
Type: Discrete
Decimal: 0
Start: 35
End: 37
Width: 3
Range: 101 - 426
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 KALANGALA 26
0.2%
102 KAMPALA 856
5.4%
103 KIBOGA 68
0.4%
104 LUWERO 178
1.1%
105 MASAKA 103
0.6%
106 MPIGI 95
0.6%
107 MUBENDE 260
1.6%
108 MUKONO 241
1.5%
109 NAKASONGOLA 63
0.4%
110 RAKAI 164
1%
111 SSEMBABULE 81
0.5%
112 KAYUNGA 116
0.7%
113 WAKISO 748
4.7%
114 LYANTONDE 30
0.2%
115 MITYANA 150
0.9%
116 NAKASEKE 75
0.5%
117 BUIKWE 203
1.3%
118 BUKOMANSIMBI 57
0.4%
119 BUTAMBALA 29
0.2%
120 BUVUMA 26
0.2%
121 GOMBA 59
0.4%
122 KALUNGU 57
0.4%
123 KYANKWANZI 75
0.5%
124 LWENGO 89
0.6%
201 Bugiri 159
1%
202 Busia 186
1.2%
203 Iganga 216
1.4%
204 Jinja 246
1.5%
205 Kamuli 193
1.2%
206 Kapchorwa 49
0.3%
207 Katakwi 77
0.5%
208 Kumi 129
0.8%
209 Mbale 324
2%
210 Pallisa 157
1%
211 Soroti 172
1.1%
212 Tororo 294
1.8%
213 Kaberamaido 95
0.6%
214 Mayuge 174
1.1%
215 Sironko 143
0.9%
216 Amuria 133
0.8%
217 Budaka 103
0.6%
218 Bududa 97
0.6%
219 Bukedea 97
0.6%
220 Bukwo 44
0.3%
221 Butaleja 122
0.8%
222 Kaliro 82
0.5%
223 Manafwa 198
1.2%
224 Namutumba 66
0.4%
225 Bulambuli 94
0.6%
226 BUYENDE 121
0.8%
227 Kibuku 92
0.6%
228 Kween 49
0.3%
229 LUUKA 94
0.6%
230 NAMAYINGO 96
0.6%
231 Ngora 64
0.4%
232 Serere (from soroti) 113
0.7%
301 Adjumani 108
0.7%
302 Apac 206
1.3%
303 Arua 353
2.2%
304 Gulu 277
1.7%
305 Kitgum 135
0.8%
306 Kotido 120
0.8%
307 Lira 318
2%
308 Moroto 77
0.5%
309 Moyo 69
0.4%
310 Nebbi 191
1.2%
311 Nakapiripirit 88
0.6%
312 Pader 87
0.5%
313 Yumbe 152
1%
314 Abim 58
0.4%
315 Amolator 84
0.5%
316 Amuru 82
0.5%
317 Dokolo 105
0.7%
318 Kaabong 115
0.7%
319 Koboko 106
0.7%
320 Maracha 80
0.5%
321 Oyam 198
1.2%
322 Agago 123
0.8%
323 Alebtong 124
0.8%
324 Amudat 64
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
0.7%
401 Bundibugyo 93
0.6%
402 Bushenyi 98
0.6%
403 Hoima 328
2.1%
404 Kabale 253
1.6%
405 Kabarole 254
1.6%
406 Kasese 296
1.9%
407 Kibaale 402
2.5%
408 Kisoro 135
0.8%
409 Masindi 155
1%
410 Mbarara 212
1.3%
411 Ntugamo 180
1.1%
412 Rukungiri 149
0.9%
413 Kamwenge 162
1%
414 Kanungu 136
0.9%
415 Kyenjojo 185
1.2%
416 Buliisa 38
0.2%
417 Ibanda 111
0.7%
418 Isingiro 144
0.9%
419 Kiruhura 116
0.7%
420 Buhweju 48
0.3%
421 Kiryandongo 96
0.6%
422 KYEGEGWA 95
0.6%
423 Mitooma 74
0.5%
424 NTOROKO 25
0.2%
425 Rubirizi 47
0.3%
426 Sheema 90
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.
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