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
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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
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.