National Panel Survey 2013-2014
Uganda, 2013 - 2014
Get Microdata
Reference ID
UGA_2013_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics
Collection(s)
Metadata
Created on
Aug 10, 2016
Last modified
Jan 30, 2020
Page views
385559
Downloads
93859
- Data files
- GSEC1
- GSEC2
- GSEC3
- GSEC4
- GSEC5
- GSEC6_1
- GSEC6_2
- GSEC6_3
- GSEC8_1
- GSEC9_1
- GSEC9_2
- GSEC10_1
- GSEC10_2
- GSEC10_3
- GSEC11A
- GSEC11B
- GSEC12_1
- GSEC14A
- GSEC14B
- GSEC15
- GSEC15B
- GSEC15BB
- GSEC15BB_2
- GSEC15BB_3
- GSEC15C
- GSEC15D
- GSEC15E
- GSEC16
- GSEC17_1
- GSEC17_2
- GSEC17_3
- GSEC17_4
- GSEC19
- WSEC1A
- WSEC2
- WSEC3
- WSEC4
- WSEC5
- AGSEC1
- AGSEC2A
- AGSEC2B
- AGSEC3A
- AGSEC3B
- AGSEC4A
- AGSEC4B
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6A_1
- AGSEC6B
- AGSEC6B_1
- AGSEC6C
- AGSEC6C_1
- AGSEC7
- AGSEC8A
- AGSEC8B
- AGSEC8C
- AGSEC9
- AGSEC9A
- AGSEC10
- AGSEC11
- CSEC1A
- CSEC2A
- CSEC2B
- CSEC2C
- CSEC2C_1
- CSEC3
- CSEC3A
- CSEC3B
- CSEC3C
- CSEC3D
- CSEC3E
- CSEC3F
- CSEC3G
- CSEC3H
- CSEC3I
- CSEC3J
- CSEC3K
- CSEC3K_1
- CSEC3L
- CSEC4A
- CSEC4B
- CSEC4C
- CSEC4D
- CSEC4D_1
- CSEC4E
- CSEC4F
- CSEC4G
- CSEC4H
- CSEC4H_1
- CSEC4I
- CSEC4J
- CSEC4K_1
- CSEC4L
- CSEC4M.1
- CSEC4N
- CSEC4O
- CSEC4P
- CSEC4Q
- CSEC4R
- CSEC5
- CSEC5A
- CSEC5B
- CSEC5C
- CSEC5D
- CSEC5E
- CSEC6A
- CSEC6B
- CSEC6C
- CSEC6D
- CSEC6E
- gsec12
- pov2013_14
In which district/ country was [NAME] born? (h3q13D)
Data file: GSEC3
Overview
Valid:
17370
Invalid:
8
Type:
Discrete
Decimal:
0
Start:
61
End:
63
Width:
3
Range:
4 - 536
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 4 | 1 |
0%
|
|
| 101 | Kalangala | 11 |
0.1%
|
| 102 | Kampala | 738 |
4.2%
|
| 103 | Kiboga | 147 |
0.8%
|
| 104 | Luwero | 234 |
1.3%
|
| 105 | Masaka | 238 |
1.4%
|
| 106 | Mpigi | 171 |
1%
|
| 107 | Mubende | 221 |
1.3%
|
| 108 | Mukono | 261 |
1.5%
|
| 109 | Nakasongola | 4 |
0%
|
| 110 | Rakai | 339 |
2%
|
| 111 | Sembabule | 140 |
0.8%
|
| 112 | Kayunga | 216 |
1.2%
|
| 113 | Wakiso | 349 |
2%
|
| 114 | Lyantonde | 28 |
0.2%
|
| 115 | Mityana | 281 |
1.6%
|
| 116 | Nakaseke | 65 |
0.4%
|
| 117 | Buikwe | 282 |
1.6%
|
| 118 | Bukomasimbi | 43 |
0.2%
|
| 119 | Butambala | 49 |
0.3%
|
| 120 | Buvuma | 17 |
0.1%
|
| 121 | Gomba | 23 |
0.1%
|
| 122 | Kalungu | 123 |
0.7%
|
| 123 | Kyankwanzi | 18 |
0.1%
|
| 124 | Lwengo | 231 |
1.3%
|
| 201 | Bugiri | 201 |
1.2%
|
| 202 | Busia | 97 |
0.6%
|
| 203 | Iganga | 245 |
1.4%
|
| 204 | Jinja | 423 |
2.4%
|
| 205 | Kamuli | 255 |
1.5%
|
| 206 | Kapchorwa | 32 |
0.2%
|
| 207 | Katakwi | 107 |
0.6%
|
| 208 | Kumi | 267 |
1.5%
|
| 209 | Mbale | 94 |
0.5%
|
| 210 | Pallisa | 142 |
0.8%
|
| 211 | Soroti | 276 |
1.6%
|
| 212 | Tororo | 280 |
1.6%
|
| 213 | Kaberamaido | 10 |
0.1%
|
| 214 | Mayuge | 287 |
1.7%
|
| 215 | Sironko | 145 |
0.8%
|
| 216 | Amuria | 59 |
0.3%
|
| 217 | Budaka | 14 |
0.1%
|
| 218 | Bududa | 112 |
0.6%
|
| 219 | Bukedea | 147 |
0.8%
|
| 220 | Bukwo | 1 |
0%
|
| 221 | Butaleja | 133 |
0.8%
|
| 222 | Kaliro | 88 |
0.5%
|
| 223 | Manafwa | 432 |
2.5%
|
| 224 | Namutumba | 75 |
0.4%
|
| 225 | Bulambuli | 121 |
0.7%
|
| 226 | Buyende | 251 |
1.4%
|
| 227 | Kibuku | 10 |
0.1%
|
| 228 | Kween | 53 |
0.3%
|
| 229 | Luuka | 92 |
0.5%
|
| 230 | Namayingo | 147 |
0.8%
|
| 231 | Ngora | 8 |
0%
|
| 232 | Serere | 105 |
0.6%
|
| 301 | Adjumani | 11 |
0.1%
|
| 302 | Apac | 272 |
1.6%
|
| 303 | Arua | 467 |
2.7%
|
| 304 | Gulu | 254 |
1.5%
|
| 305 | Kitgum | 68 |
0.4%
|
| 306 | Kotido | 159 |
0.9%
|
| 307 | Lira | 257 |
1.5%
|
| 308 | Moroto | 72 |
0.4%
|
| 309 | Moyo | 188 |
1.1%
|
| 310 | Nebbi | 164 |
0.9%
|
| 311 | Nakapiripirit | 116 |
0.7%
|
| 312 | Pader | 77 |
0.4%
|
| 313 | Yumbe | 101 |
0.6%
|
| 314 | Abim | 68 |
0.4%
|
| 315 | Amolatar | 80 |
0.5%
|
| 316 | Amuru | 13 |
0.1%
|
| 317 | Dokolo | 172 |
1%
|
| 318 | Kaabong | 187 |
1.1%
|
| 319 | Koboko | 147 |
0.8%
|
| 320 | Maracha | 95 |
0.5%
|
| 321 | Oyam | 280 |
1.6%
|
| 322 | Agago | 105 |
0.6%
|
| 323 | Alebtong | 195 |
1.1%
|
| 324 | Amudat | 3 |
0%
|
| 325 | Kole | 284 |
1.6%
|
| 326 | Lamwo | 3 |
0%
|
| 327 | Napak | 67 |
0.4%
|
| 328 | Nwoya | 2 |
0%
|
| 329 | Otuke | 87 |
0.5%
|
| 330 | Zombo | 156 |
0.9%
|
| 401 | Bundibugyo | 24 |
0.1%
|
| 402 | Bushenyi | 182 |
1%
|
| 403 | Hoima | 258 |
1.5%
|
| 404 | Kabale | 239 |
1.4%
|
| 405 | Kabarole | 290 |
1.7%
|
| 406 | Kasese | 312 |
1.8%
|
| 407 | Kibaale | 211 |
1.2%
|
| 408 | Kisoro | 169 |
1%
|
| 409 | Masindi | 97 |
0.6%
|
| 410 | Mbarara | 327 |
1.9%
|
| 411 | Ntungamo | 416 |
2.4%
|
| 412 | Rukungiri | 220 |
1.3%
|
| 413 | Kamwenge | 35 |
0.2%
|
| 414 | Kanungu | 70 |
0.4%
|
| 415 | Kyenjojo | 261 |
1.5%
|
| 416 | Buliisa | 4 |
0%
|
| 417 | Ibanda | 282 |
1.6%
|
| 418 | Isingiro | 267 |
1.5%
|
| 419 | Kiruhura | 118 |
0.7%
|
| 420 | Buhweju | 112 |
0.6%
|
| 421 | Kiryandongo | 5 |
0%
|
| 422 | Kyegegwa | 73 |
0.4%
|
| 423 | Mitooma | 75 |
0.4%
|
| 424 | Ntoroko | 32 |
0.2%
|
| 425 | Rubirizi | 4 |
0%
|
| 426 | Sheema | 98 |
0.6%
|
| 501 | Australia | 0 |
0%
|
| 502 | Botswana | 0 |
0%
|
| 503 | Canada | 0 |
0%
|
| 504 | France | 0 |
0%
|
| 505 | Germany | 0 |
0%
|
| 506 | India | 1 |
0%
|
| 507 | Iraq | 0 |
0%
|
| 508 | Japan | 0 |
0%
|
| 509 | Kenya | 16 |
0.1%
|
| 510 | Lesotho | 0 |
0%
|
| 511 | Libya | 0 |
0%
|
| 512 | Namibia | 0 |
0%
|
| 513 | Rwanda | 24 |
0.1%
|
| 514 | Saudi Arabia | 0 |
0%
|
| 515 | South Africa | 0 |
0%
|
| 516 | Sudan | 14 |
0.1%
|
| 517 | Swaziland | 0 |
0%
|
| 518 | Tanzania | 8 |
0%
|
| 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 | 7 |
0%
|
| 525 | China | 0 |
0%
|
| 526 | Malaysia | 0 |
0%
|
| 527 | Dubai | 0 |
0%
|
| 528 | Thailand | 0 |
0%
|
| 529 | Hong Kong | 0 |
0%
|
| 530 | Drc | 21 |
0.1%
|
| 531 | Somalia | 2 |
0%
|
| 532 | Central And Latin America | 0 |
0%
|
| 533 | Oceania | 0 |
0%
|
| 534 | Non – Ugandan – Not Stated | 0 |
0%
|
| 535 | Other Africa | 7 |
0%
|
| 536 | Other Europe | 0 |
0%
|
| Sysmiss | 8 |
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.