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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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District where hh is interviewed (district)

Data file: gsec1

Overview

Valid: 3305
Invalid: 0
Type: Discrete
Decimal: 0
Start: 13
End: 15
Width: 3
Range: 101 - 426
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Kalangala 3
0.1%
102 Kampala 183
5.5%
103 Kiboga 24
0.7%
104 Luwero 30
0.9%
105 Masaka 16
0.5%
106 Mpigi 31
0.9%
107 Mubende 45
1.4%
108 Mukono 47
1.4%
109 Nakasangola 1
0%
110 Rakai 74
2.2%
111 Sembabule 28
0.8%
112 Kayunga 36
1.1%
113 Wakiso 117
3.5%
114 Lyantonde 4
0.1%
115 Mityana 56
1.7%
116 Nakaseke 12
0.4%
117 Buikwe 68
2.1%
118 Bukomansimbi 11
0.3%
119 Butambala 10
0.3%
120 Buvuma 5
0.2%
121 Gomba 1
0%
122 Kalungu 29
0.9%
123 Kyankwanzi 8
0.2%
124 Lwengo 69
2.1%
201 Bugiri 37
1.1%
202 Busia 11
0.3%
203 Iganga 40
1.2%
204 Jinja 65
2%
205 Kamuli 38
1.1%
206 Kapchorwa 1
0%
207 Katakwi 21
0.6%
208 Kumi 43
1.3%
209 Mbale 16
0.5%
210 Pallisa 24
0.7%
211 Soroti 45
1.4%
212 Tororo 48
1.5%
213 Kaberamaido 1
0%
214 Mayuge 53
1.6%
215 Sironko 28
0.8%
216 Amuria 10
0.3%
217 Budaka ( 0
0%
218 Bududa 18
0.5%
219 Bukedea 20
0.6%
220 Bukwo 0
0%
221 Butaleja 22
0.7%
222 Kaliro 10
0.3%
223 Manafwa 73
2.2%
224 Namutumba 9
0.3%
225 Bulambuli 18
0.5%
226 Buyende 51
1.5%
227 Kibuku 1
0%
228 Kween 10
0.3%
229 14
0.4%
230 Namayingo 31
0.9%
231 Ngora 2
0.1%
232 Serere (from soroti) 20
0.6%
301 Adjumani 1
0%
302 Apac 62
1.9%
303 Arua 105
3.2%
304 Gulu 52
1.6%
305 Kitgum 8
0.2%
306 Kotido 30
0.9%
307 Lira 51
1.5%
308 Moroto 11
0.3%
309 Moyo 32
1%
310 Nebbi 46
1.4%
311 Nakapiripirit 19
0.6%
312 Pader 14
0.4%
313 Yumbe 18
0.5%
314 Abim 11
0.3%
315 Amolator 14
0.4%
316 Amuru 3
0.1%
317 Dokolo 27
0.8%
318 Kaabong 31
0.9%
319 Koboko 37
1.1%
320 Maracha 22
0.7%
321 Oyam 60
1.8%
322 Agago 22
0.7%
323 Alebtong 39
1.2%
324 Amudat 0
0%
325 Kole 56
1.7%
326 Lamwo 1
0%
327 Napak 9
0.3%
328 Nwoya 1
0%
329 Otuke 14
0.4%
330 Zombo 35
1.1%
401 Bundibugyo 0
0%
402 Bushenyi 24
0.7%
403 Hoima 65
2%
404 Kabale 30
0.9%
405 Kabarole 52
1.6%
406 Kasese 59
1.8%
407 Kibaale 45
1.4%
408 Kisoro 33
1%
409 Masindi 15
0.5%
410 Mbarara 62
1.9%
411 Ntugamo 63
1.9%
412 Rukungiri 40
1.2%
413 Kamwenge 3
0.1%
414 Kanungu 10
0.3%
415 Kyenjojo 57
1.7%
416 Buliisa 0
0%
417 Ibanda 74
2.2%
418 Isingiro 46
1.4%
419 Kiruhura 17
0.5%
420 Buhweju 25
0.8%
421 Kiryandongo 3
0.1%
422 Kyegegwa 23
0.7%
423 Mitooma 13
0.4%
424 NTOROKO 11
0.3%
425 Rubirizi 0
0%
426 Sheema 16
0.5%
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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