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agricultural-surveys

National Panel Survey 2015-2016

Uganda, 2015 - 2016
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Reference ID
UGA_2015-2016_NPS-W5_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics
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Agricultural Surveys
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Sep 11, 2020
Last modified
Nov 08, 2022
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In which district/ country was [name] born? (h3q13D)

Data file: gsec3

Overview

Valid: 8096
Invalid: 7722
Type: Discrete
Decimal: 0
Start: 55
End: 57
Width: 3
Range: 2 - 536
Format: Numeric

Questions and instructions

Categories
Value Category Cases
2 1
0%
101 Kalangala 9
0.1%
102 Kampala 327
4%
103 Kiboga 84
1%
104 Luwero 86
1.1%
105 Masaka 51
0.6%
106 Mpigi 58
0.7%
107 Mubende 119
1.5%
108 Mukono 101
1.2%
109 Nakasongola 0
0%
110 Rakai 193
2.4%
111 Sembabule 76
0.9%
112 Kayunga 108
1.3%
113 Wakiso 180
2.2%
114 Lyantonde 14
0.2%
115 Mityana 142
1.8%
116 Nakaseke 36
0.4%
117 Buikwe 148
1.8%
118 Bukomasimbi 26
0.3%
119 Butambala 23
0.3%
120 Buvuma 16
0.2%
121 Gomba 1
0%
122 Kalungu 63
0.8%
123 Kyankwanzi 13
0.2%
124 Lwengo 126
1.6%
201 Bugiri 112
1.4%
202 Busia 53
0.7%
203 Iganga 112
1.4%
204 Jinja 189
2.3%
205 Kamuli 129
1.6%
206 Kapchorwa 8
0.1%
207 Katakwi 41
0.5%
208 Kumi 129
1.6%
209 Mbale 40
0.5%
210 Pallisa 74
0.9%
211 Soroti 143
1.8%
212 Tororo 110
1.4%
213 Kaberamaido 3
0%
214 Mayuge 178
2.2%
215 Sironko 44
0.5%
216 Amuria 39
0.5%
217 Budaka 1
0%
218 Bududa 53
0.7%
219 Bukedea 60
0.7%
220 Bukwo 0
0%
221 Butaleja 74
0.9%
222 Kaliro 38
0.5%
223 Manafwa 217
2.7%
224 Namutumba 41
0.5%
225 Bulambuli 46
0.6%
226 Buyende 157
1.9%
227 Kibuku 2
0%
228 Kween 31
0.4%
229 Luuka 47
0.6%
230 Namayingo 103
1.3%
231 Ngora 3
0%
232 Serere 44
0.5%
301 Adjumani 3
0%
302 Apac 126
1.6%
303 Arua 227
2.8%
304 Gulu 118
1.5%
305 Kitgum 15
0.2%
306 Kotido 86
1.1%
307 Lira 133
1.6%
308 Moroto 37
0.5%
309 Moyo 83
1%
310 Nebbi 72
0.9%
311 Nakapiripirit 57
0.7%
312 Pader 35
0.4%
313 Yumbe 51
0.6%
314 Abim 31
0.4%
315 Amolatar 44
0.5%
316 Amuru 2
0%
317 Dokolo 86
1.1%
318 Kaabong 83
1%
319 Koboko 80
1%
320 Maracha 41
0.5%
321 Oyam 163
2%
322 Agago 48
0.6%
323 Alebtong 100
1.2%
324 Amudat 1
0%
325 Kole 135
1.7%
326 Lamwo 5
0.1%
327 Napak 32
0.4%
328 Nwoya 0
0%
329 Otuke 26
0.3%
330 Zombo 70
0.9%
401 Bundibugyo 5
0.1%
402 Bushenyi 49
0.6%
403 Hoima 126
1.6%
404 Kabale 67
0.8%
405 Kabarole 116
1.4%
406 Kasese 134
1.7%
407 Kibaale 115
1.4%
408 Kisoro 82
1%
409 Masindi 52
0.6%
410 Mbarara 138
1.7%
411 Ntungamo 159
2%
412 Rukungiri 87
1.1%
413 Kamwenge 8
0.1%
414 Kanungu 24
0.3%
415 Kyenjojo 113
1.4%
416 Buliisa 0
0%
417 Ibanda 129
1.6%
418 Isingiro 128
1.6%
419 Kiruhura 52
0.6%
420 Buhweju 43
0.5%
421 Kiryandongo 4
0%
422 Kyegegwa 44
0.5%
423 Mitooma 32
0.4%
424 Ntoroko 27
0.3%
425 Rubirizi 1
0%
426 Sheema 32
0.4%
501 Australia 0
0%
502 Botswana 0
0%
503 Canada 0
0%
504 France 0
0%
505 Germany 0
0%
506 India 0
0%
507 Iraq 0
0%
508 Japan 0
0%
509 Kenya 3
0%
510 Lesotho 0
0%
511 Libya 0
0%
512 Namibia 0
0%
513 Rwanda 2
0%
514 Saudi Arabia 0
0%
515 South Africa 0
0%
516 Sudan 0
0%
517 Swaziland 0
0%
518 Tanzania 1
0%
519 United Arab Emirates 0
0%
520 United Kingdom 0
0%
521 United States of America 0
0%
522 Yemen 0
0%
523 Zambia 0
0%
524 Burundi 0
0%
525 China 0
0%
526 Malaysia 0
0%
527 Dubai 0
0%
528 Thailand 0
0%
529 Hong Kong 0
0%
530 Drc 11
0.1%
531 Somalia 0
0%
532 Central And Latin America 0
0%
533 Oceania 0
0%
534 Non 0
0%
535 Other Africa 0
0%
536 Other Europe 0
0%
Sysmiss 7722
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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