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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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Created on
Sep 11, 2020
Last modified
Nov 08, 2022
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In which district/ country did [name] live 5 years ago? (h3q14D)

Data file: gsec3

Overview

Valid: 1505
Invalid: 14313
Type: Discrete
Decimal: 0
Start: 62
End: 64
Width: 3
Range: 101 - 536
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Kalangala 1
0.1%
102 Kampala 124
8.2%
103 Kiboga 19
1.3%
104 Luwero 25
1.7%
105 Masaka 14
0.9%
106 Mpigi 16
1.1%
107 Mubende 47
3.1%
108 Mukono 37
2.5%
109 Nakasongola 0
0%
110 Rakai 33
2.2%
111 Sembabule 17
1.1%
112 Kayunga 19
1.3%
113 Wakiso 54
3.6%
114 Lyantonde 8
0.5%
115 Mityana 42
2.8%
116 Nakaseke 9
0.6%
117 Buikwe 34
2.3%
118 Bukomasimbi 2
0.1%
119 Butambala 2
0.1%
120 Buvuma 6
0.4%
121 Gomba 1
0.1%
122 Kalungu 11
0.7%
123 Kyankwanzi 1
0.1%
124 Lwengo 33
2.2%
201 Bugiri 23
1.5%
202 Busia 0
0%
203 Iganga 22
1.5%
204 Jinja 27
1.8%
205 Kamuli 27
1.8%
206 Kapchorwa 0
0%
207 Katakwi 2
0.1%
208 Kumi 20
1.3%
209 Mbale 3
0.2%
210 Pallisa 13
0.9%
211 Soroti 21
1.4%
212 Tororo 18
1.2%
213 Kaberamaido 0
0%
214 Mayuge 37
2.5%
215 Sironko 7
0.5%
216 Amuria 13
0.9%
217 Budaka 0
0%
218 Bududa 8
0.5%
219 Bukedea 12
0.8%
220 Bukwo 0
0%
221 Butaleja 6
0.4%
222 Kaliro 9
0.6%
223 Manafwa 9
0.6%
224 Namutumba 9
0.6%
225 Bulambuli 4
0.3%
226 Buyende 23
1.5%
227 Kibuku 0
0%
228 Kween 5
0.3%
229 Luuka 6
0.4%
230 Namayingo 13
0.9%
231 Ngora 1
0.1%
232 Serere 7
0.5%
301 Adjumani 1
0.1%
302 Apac 24
1.6%
303 Arua 57
3.8%
304 Gulu 30
2%
305 Kitgum 4
0.3%
306 Kotido 30
2%
307 Lira 23
1.5%
308 Moroto 9
0.6%
309 Moyo 23
1.5%
310 Nebbi 24
1.6%
311 Nakapiripirit 8
0.5%
312 Pader 10
0.7%
313 Yumbe 13
0.9%
314 Abim 12
0.8%
315 Amolatar 1
0.1%
316 Amuru 1
0.1%
317 Dokolo 7
0.5%
318 Kaabong 24
1.6%
319 Koboko 12
0.8%
320 Maracha 6
0.4%
321 Oyam 20
1.3%
322 Agago 14
0.9%
323 Alebtong 23
1.5%
324 Amudat 0
0%
325 Kole 12
0.8%
326 Lamwo 3
0.2%
327 Napak 0
0%
328 Nwoya 0
0%
329 Otuke 14
0.9%
330 Zombo 16
1.1%
401 Bundibugyo 4
0.3%
402 Bushenyi 2
0.1%
403 Hoima 19
1.3%
404 Kabale 2
0.1%
405 Kabarole 18
1.2%
406 Kasese 16
1.1%
407 Kibaale 21
1.4%
408 Kisoro 3
0.2%
409 Masindi 10
0.7%
410 Mbarara 12
0.8%
411 Ntungamo 4
0.3%
412 Rukungiri 0
0%
413 Kamwenge 3
0.2%
414 Kanungu 2
0.1%
415 Kyenjojo 18
1.2%
416 Buliisa 0
0%
417 Ibanda 12
0.8%
418 Isingiro 6
0.4%
419 Kiruhura 3
0.2%
420 Buhweju 2
0.1%
421 Kiryandongo 1
0.1%
422 Kyegegwa 18
1.2%
423 Mitooma 1
0.1%
424 Ntoroko 0
0%
425 Rubirizi 0
0%
426 Sheema 3
0.2%
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 1
0.1%
510 Lesotho 0
0%
511 Libya 0
0%
512 Namibia 0
0%
513 Rwanda 1
0.1%
514 Saudi Arabia 0
0%
515 South Africa 0
0%
516 Sudan 0
0%
517 Swaziland 0
0%
518 Tanzania 1
0.1%
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 1
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 14313
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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