National Panel Survey 2015-2016
Uganda, 2015 - 2016
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Reference ID
UGA_2015_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics
Collection(s)
Metadata
Created on
May 31, 2019
Last modified
Jan 30, 2020
Page views
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- Data files
- gsec1
- gsec2
- gsec3
- gsec4
- gsec5
- gsec6_1
- gsec6_3
- gsec8
- gsec9
- gsec10_1
- gsec10_2
- gsec10_3
- gsec11_1
- gsec11_2
- gsec12_1
- gsec12_2
- gsec14
- gsec14b
- gsec15b
- gsec15bb
- gsec15bb_2
- gsec15bb_3
- gsec15c
- gsec15d
- gsec15e
- gsec17_1
- gsec17_2
- gsec17_3
- gsec17_4
- gsec19
- WSEC1A
- WSEC2
- WSEC3
- WSEC4
- WSEC5
- AGSEC1
- AGSEC2A
- AGSEC2AB_1
- AGSEC2B
- AGSEC3A
- AGSEC3A_1
- AGSEC3B
- AGSEC3B_1
- AGSEC4A
- AGSEC4A_1
- AGSEC4B
- AGSEC4B_1
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6A_1
- AGSEC6B
- AGSEC6B_1
- AGSEC6C
- AGSEC6C_1
- AGSEC7A1
- AGSEC7B
- AGSEC8A
- AGSEC8B
- AGSEC8C
- AGSEC9A
- AGSEC9B
- AGSEC10
- AGSEC11
- CSEC1A
- CSEC1B
- CSEC2A
- CSEC2B_1
- CSEC2C_1
- CSEC2C_2
- CSEC3A
- CSEC3A_1
- CSEC3B_1
- CSEC3C
- CSEC3D
- CSEC3E
- CSEC3F
- CSEC3G
- CSEC3H
- CSEC3I
- CSEC3J
- CSEC3K
- CSEC3K_1
- CSEC3L_1
- CSEC4A_1
- CSEC4B_1
- CSEC4C
- CSEC4D
- CSEC4D_1
- CSEC4E
- CSEC4F_1
- CSEC4G_1
- CSEC4H
- CSEC4H_1
- CSEC4I_1
- CSEC4J_1
- CSEC4K
- CSEC4K_1
- CSEC4L
- CSEC4M
- CSEC4N
- CSEC4N_1
- CSEC4O
- CSEC4O_2
- CSEC4P_1
- CSEC4Q_1
- CSEC5A
- CSEC5B
- CSEC5C
- CSEC5D
- CSEC5Q_1
- CSEC6A_1
- CSEC6B
- CSEC6C
- CSEC6D
- CSEC6E
- CSEC6F_1
- GSEC16
- pov2015_16
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.