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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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District where hh is interviewed (district)

Data file: AGSEC1

Overview

Valid: 2694
Invalid: 0
Type: Discrete
Decimal: 0
Start: 204
End: 206
Width: 3
Range: 101 - 426
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Kalangala 3
0.1%
102 Kampala 11
0.4%
103 Kiboga 22
0.8%
104 Luwero 24
0.9%
105 Masaka 13
0.5%
106 Mpigi 26
1%
107 Mubende 33
1.2%
108 Mukono 32
1.2%
109 Nakasangola 1
0%
110 Rakai 64
2.4%
111 Sembabule 29
1.1%
112 Kayunga 34
1.3%
113 Wakiso 27
1%
114 Lyantonde 2
0.1%
115 Mityana 53
2%
116 Nakaseke 11
0.4%
117 Buikwe 56
2.1%
118 Bukomansimbi 12
0.4%
119 Butambala 9
0.3%
120 Buvuma 0
0%
121 Gomba 0
0%
122 Kalungu 25
0.9%
123 Kyankwanzi 7
0.3%
124 Lwengo 64
2.4%
201 Bugiri 30
1.1%
202 Busia 11
0.4%
203 Iganga 23
0.9%
204 Jinja 52
1.9%
205 Kamuli 36
1.3%
206 Kapchorwa 0
0%
207 Katakwi 21
0.8%
208 Kumi 39
1.4%
209 Mbale 4
0.1%
210 Pallisa 22
0.8%
211 Soroti 44
1.6%
212 Tororo 44
1.6%
213 Kaberamaido 1
0%
214 Mayuge 50
1.9%
215 Sironko 25
0.9%
216 Amuria 9
0.3%
217 Budaka ( 0
0%
218 Bududa 19
0.7%
219 Bukedea 20
0.7%
220 Bukwo 0
0%
221 Butaleja 21
0.8%
222 Kaliro 10
0.4%
223 Manafwa 73
2.7%
224 Namutumba 8
0.3%
225 Bulambuli 18
0.7%
226 Buyende 50
1.9%
227 Kibuku 1
0%
228 Kween 10
0.4%
229 13
0.5%
230 Namayingo 29
1.1%
231 Ngora 1
0%
232 Serere (from soroti) 10
0.4%
301 Adjumani 1
0%
302 Apac 60
2.2%
303 Arua 98
3.6%
304 Gulu 45
1.7%
305 Kitgum 10
0.4%
306 Kotido 17
0.6%
307 Lira 45
1.7%
308 Moroto 7
0.3%
309 Moyo 35
1.3%
310 Nebbi 44
1.6%
311 Nakapiripirit 18
0.7%
312 Pader 14
0.5%
313 Yumbe 15
0.6%
314 Abim 11
0.4%
315 Amolator 14
0.5%
316 Amuru 3
0.1%
317 Dokolo 27
1%
318 Kaabong 29
1.1%
319 Koboko 32
1.2%
320 Maracha 22
0.8%
321 Oyam 60
2.2%
322 Agago 22
0.8%
323 Alebtong 39
1.4%
324 Amudat 0
0%
325 Kole 52
1.9%
326 Lamwo 1
0%
327 Napak 9
0.3%
328 Nwoya 1
0%
329 Otuke 14
0.5%
330 Zombo 32
1.2%
401 Bundibugyo 0
0%
402 Bushenyi 21
0.8%
403 Hoima 61
2.3%
404 Kabale 26
1%
405 Kabarole 46
1.7%
406 Kasese 53
2%
407 Kibaale 43
1.6%
408 Kisoro 30
1.1%
409 Masindi 11
0.4%
410 Mbarara 26
1%
411 Ntugamo 56
2.1%
412 Rukungiri 38
1.4%
413 Kamwenge 2
0.1%
414 Kanungu 9
0.3%
415 Kyenjojo 52
1.9%
416 Buliisa 0
0%
417 Ibanda 61
2.3%
418 Isingiro 41
1.5%
419 Kiruhura 11
0.4%
420 Buhweju 24
0.9%
421 Kiryandongo 3
0.1%
422 Kyegegwa 20
0.7%
423 Mitooma 10
0.4%
424 NTOROKO 8
0.3%
425 Rubirizi 0
0%
426 Sheema 13
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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