National Panel Survey 2010-2011
Uganda, 2010 - 2011
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Reference ID
UGA_2010_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics (UBOS)
Created on
Dec 23, 2014
Last modified
Sep 07, 2022
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- Data files
- AGSEC2
- AGSEC2A
- AGSEC2B
- AGSEC3A
- AGSEC3B
- AGSEC4A
- AGSEC4B
- AGSEC5A
- AGSEC5B
- AGSEC6A
- AGSEC6B
- AGSEC6C
- AGSEC7
- AGSEC8
- AGSEC9
- AGSEC10
- CSECTION1
- CSECTION2A
- CSECTION2B
- CSECTION2C
- CSECTION3A
- CSECTION3B
- CSECTION3C
- CSECTION3D
- CSECTION3E
- CSECTION3F
- CSECTION3G
- CSECTION3H
- CSECTION3I
- CSECTION3J
- CSECTION3L
- CSECTION3K
- CSECTION4
- CSECTION4A
- CSECTION4B
- CSECTION4C
- CSECTION4D
- CSECTION4E
- CSECTION4F
- CSECTION4G
- CSECTION4H1
- CSECTION4H2
- CSECTION4I
- CSECTION4J
- CSECTION4K1
- CSECTION4K2
- CSECTION4L
- CSECTION4M
- CSECTION4N
- CSECTION4O1
- CSECTION4O2
- CSECTION5
- CSECTION5A
- CSECTION5B
- CSECTION5C
- CSECTION5D
- CSECTION6A1
- CSECTION6A2
- CSECTION6B
- CSECTION6C
- CSECTION6D
- CSECTION6E
- CSECTION6F
- GSEC1
- GSEC2
- GSEC3
- GSEC4
- GSEC5
- GSEC6
- GSEC7A
- GSEC7B
- GSEC8
- GSEC9A
- GSEC9B
- GSEC10A
- GSEC10B
- GSEC11
- GSEC12
- GSEC13A
- GSEC13
- GSEC14
- GSEC15b
- GSEC15BB
- GSEC15c
- GSEC15d
- GSEC16
- GSEC17A
- GSEC17B
- GSEC18
- GSEC18A
- GSEC18B
- GSEC19
- UNPS_Geovars_1011
- WSEC2A
- WSEC2B_1
- WSEC2B_2
- hh_sec10_2
- pov2010_11
In which district/ country was [NAME] born? (h3q13)
Data file: GSEC3
Overview
Valid:
15001
Invalid:
195
Type:
Discrete
Decimal:
0
Start:
83
End:
85
Width:
3
Range:
101 - 999
Format:
Numeric
Questions and instructions
Literal question
In which district/ country was [NAME] born?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | KALANGALA | 4 |
0%
|
| 102 | KAMPALA | 605 |
4%
|
| 103 | KIBOGA | 122 |
0.8%
|
| 104 | LUWERO | 283 |
1.9%
|
| 105 | MASAKA | 552 |
3.7%
|
| 106 | MPIGI | 297 |
2%
|
| 107 | MUBENDE | 196 |
1.3%
|
| 108 | MUKONO | 529 |
3.5%
|
| 109 | NAKASONGOLA | 90 |
0.6%
|
| 110 | RAKAI | 212 |
1.4%
|
| 111 | SSEMBABULE | 142 |
0.9%
|
| 112 | KAYUNGA | 184 |
1.2%
|
| 113 | WAKISO | 399 |
2.7%
|
| 114 | LYANTONDE | 58 |
0.4%
|
| 115 | MITYANA | 203 |
1.4%
|
| 116 | NAKASEKE | 51 |
0.3%
|
| 201 | BUGIRI | 214 |
1.4%
|
| 202 | BUSIA | 160 |
1.1%
|
| 203 | IGANGA | 464 |
3.1%
|
| 204 | JINJA | 256 |
1.7%
|
| 205 | KAMULI | 440 |
2.9%
|
| 206 | KAPCHORWA | 47 |
0.3%
|
| 207 | KATAKWI | 125 |
0.8%
|
| 208 | KUMI | 295 |
2%
|
| 209 | MBALE | 157 |
1%
|
| 210 | PALLISA | 207 |
1.4%
|
| 211 | SOROTI | 294 |
2%
|
| 212 | TORORO | 279 |
1.9%
|
| 213 | KABERAMAIDO | 19 |
0.1%
|
| 214 | MAYUGE | 66 |
0.4%
|
| 215 | SIRONKO | 228 |
1.5%
|
| 216 | AMURIA | 42 |
0.3%
|
| 217 | BUDAKA | 61 |
0.4%
|
| 218 | BUDUDA | 54 |
0.4%
|
| 219 | BUKEDEA | 67 |
0.4%
|
| 220 | BUKWA | 40 |
0.3%
|
| 221 | BUTALEJA | 59 |
0.4%
|
| 222 | KALIRO | 101 |
0.7%
|
| 223 | MANAFWA | 322 |
2.1%
|
| 224 | NAMUTUMBA | 40 |
0.3%
|
| 301 | ADJUMANI | 61 |
0.4%
|
| 302 | APAC | 455 |
3%
|
| 303 | ARUA | 482 |
3.2%
|
| 304 | GULU | 266 |
1.8%
|
| 305 | KITGUM | 62 |
0.4%
|
| 306 | KOTIDO | 122 |
0.8%
|
| 307 | LIRA | 587 |
3.9%
|
| 308 | MOROTO | 188 |
1.3%
|
| 309 | MOYO | 117 |
0.8%
|
| 310 | NEBBI | 371 |
2.5%
|
| 311 | NAKAPIRIPIRIT | 102 |
0.7%
|
| 312 | PADER | 23 |
0.2%
|
| 313 | YUMBE | 150 |
1%
|
| 314 | ABIM | 0 |
0%
|
| 315 | AMOLATAR | 60 |
0.4%
|
| 316 | AMURU | 32 |
0.2%
|
| 317 | DOKOLO | 144 |
1%
|
| 318 | KAABONG | 197 |
1.3%
|
| 319 | KOBOKO | 112 |
0.7%
|
| 320 | NYADRI | 74 |
0.5%
|
| 321 | OYAM | 230 |
1.5%
|
| 325 | 4 |
0%
|
|
| 330 | 17 |
0.1%
|
|
| 401 | BUNDIBUGYO | 59 |
0.4%
|
| 402 | BUSHENYI | 416 |
2.8%
|
| 403 | HOIMA | 138 |
0.9%
|
| 404 | KABALE | 340 |
2.3%
|
| 405 | KABAROLE | 151 |
1%
|
| 406 | KASESE | 222 |
1.5%
|
| 407 | KIBAALE | 160 |
1.1%
|
| 408 | KISORO | 121 |
0.8%
|
| 409 | MASINDI | 87 |
0.6%
|
| 410 | MBARARA | 237 |
1.6%
|
| 411 | NTUNGAMO | 279 |
1.9%
|
| 412 | RUKUNGIRI | 108 |
0.7%
|
| 413 | KAMWENGE | 104 |
0.7%
|
| 414 | KANUNGU | 105 |
0.7%
|
| 415 | KYENJOJO | 173 |
1.2%
|
| 416 | BULIISA | 16 |
0.1%
|
| 417 | IBANDA | 138 |
0.9%
|
| 418 | ISINGIRO | 141 |
0.9%
|
| 419 | KIRUHURA | 105 |
0.7%
|
| 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 | 21 |
0.1%
|
| 510 | Lesotho | 0 |
0%
|
| 511 | Libya | 0 |
0%
|
| 512 | Namibia | 0 |
0%
|
| 513 | Rwanda | 28 |
0.2%
|
| 514 | Saudi Arabia | 0 |
0%
|
| 515 | South Africa | 2 |
0%
|
| 516 | Sudan | 17 |
0.1%
|
| 517 | Swaziland | 0 |
0%
|
| 518 | Tanzania | 11 |
0.1%
|
| 519 | United Arab Emirates | 0 |
0%
|
| 520 | United Kingdom | 1 |
0%
|
| 521 | United States of America | 0 |
0%
|
| 522 | Yemen | 0 |
0%
|
| 523 | Zambia | 0 |
0%
|
| 999 | 1 |
0%
|
|
| Sysmiss | 195 |
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.