Social and Living Standards Measurement Survey 2012-2013, Round 8
Pakistan, 2012 - 2013
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
5551
Downloads
173
(district)
Data file: seca.dta
Overview
Valid:
77345
Invalid:
-
Minimum:
111
Maximum:
466
Type:
Discrete
Decimal:
0
Start:
12
End:
14
Width:
3
Range:
111 - 466
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 111 | bannu | 448 |
0.6%
|
| 112 | lakki marwat | 432 |
0.6%
|
| 121 | d.i.khan | 544 |
0.7%
|
| 122 | tank | 388 |
0.5%
|
| 131 | abbottabad | 592 |
0.8%
|
| 132 | batagram | 352 |
0.5%
|
| 133 | haripur | 552 |
0.7%
|
| 134 | kohistan | 361 |
0.5%
|
| 135 | manshera | 568 |
0.7%
|
| 136 | torgarh | 272 |
0.4%
|
| 141 | hangu | 456 |
0.6%
|
| 142 | karak | 440 |
0.6%
|
| 143 | kohat | 536 |
0.7%
|
| 151 | bonair | 464 |
0.6%
|
| 152 | chitral | 492 |
0.6%
|
| 153 | lower dir | 496 |
0.6%
|
| 154 | malakand | 480 |
0.6%
|
| 155 | shangla | 400 |
0.5%
|
| 156 | swat | 560 |
0.7%
|
| 157 | upper dir | 496 |
0.6%
|
| 161 | mardan | 648 |
0.8%
|
| 162 | swabi | 552 |
0.7%
|
| 171 | charsada | 520 |
0.7%
|
| 172 | nowsehra | 608 |
0.8%
|
| 173 | peshawar | 1104 |
1.4%
|
| 210 | islamabad | 600 |
0.8%
|
| 211 | bhawanagar | 924 |
1.2%
|
| 212 | bahawalpur | 1140 |
1.5%
|
| 213 | rahim yar khan | 1152 |
1.5%
|
| 221 | d.g khan | 756 |
1%
|
| 222 | layyah | 564 |
0.7%
|
| 223 | muzaffar garh | 804 |
1%
|
| 224 | rajanpur | 612 |
0.8%
|
| 231 | chiniot | 624 |
0.8%
|
| 232 | faisalabad | 2328 |
3%
|
| 233 | jhang | 992 |
1.3%
|
| 234 | t.t singh | 780 |
1%
|
| 241 | gujranwala | 1260 |
1.6%
|
| 242 | gujrat | 792 |
1%
|
| 243 | hafaizabad | 612 |
0.8%
|
| 244 | mandi bahauddin | 612 |
0.8%
|
| 245 | narowal | 660 |
0.9%
|
| 246 | sialkot | 768 |
1%
|
| 251 | kasur | 996 |
1.3%
|
| 252 | lahore | 2928 |
3.8%
|
| 253 | nankana sahib | 496 |
0.6%
|
| 254 | sheikhupura | 716 |
0.9%
|
| 261 | khanewal | 804 |
1%
|
| 262 | lodhrean | 516 |
0.7%
|
| 263 | multan | 1344 |
1.7%
|
| 264 | vehari | 900 |
1.2%
|
| 271 | Ättock | 612 |
0.8%
|
| 272 | chakwal | 612 |
0.8%
|
| 273 | jehlum | 564 |
0.7%
|
| 274 | rawalpindi | 1440 |
1.9%
|
| 281 | okara | 1008 |
1.3%
|
| 282 | pakpatan | 612 |
0.8%
|
| 283 | sahiwal | 756 |
1%
|
| 291 | bhakar | 564 |
0.7%
|
| 292 | khushab | 516 |
0.7%
|
| 293 | m ianwali | 516 |
0.7%
|
| 294 | sarghodha | 1092 |
1.4%
|
| 311 | baddin | 900 |
1.2%
|
| 312 | dadu | 728 |
0.9%
|
| 313 | hyderabad | 864 |
1.1%
|
| 314 | jamshoro | 484 |
0.6%
|
| 315 | mitiari | 440 |
0.6%
|
| 316 | tando allah yar | 428 |
0.6%
|
| 317 | tando mohd khan | 432 |
0.6%
|
| 318 | thatta | 948 |
1.2%
|
| 321 | karachi | 4488 |
5.8%
|
| 331 | jaccobabad | 516 |
0.7%
|
| 332 | kashmore | 456 |
0.6%
|
| 333 | larkana | 588 |
0.8%
|
| 334 | shahdadkot | 648 |
0.8%
|
| 335 | shiokarpur | 660 |
0.9%
|
| 341 | mir pur khas | 848 |
1.1%
|
| 342 | sanghar | 996 |
1.3%
|
| 343 | tharparkar | 768 |
1%
|
| 344 | Ümer kot | 696 |
0.9%
|
| 351 | ghotki | 756 |
1%
|
| 352 | khairpur | 900 |
1.2%
|
| 353 | nowshero feroze | 756 |
1%
|
| 354 | nawabsha | 660 |
0.9%
|
| 355 | sukkur | 768 |
1%
|
| 411 | awaran | 320 |
0.4%
|
| 412 | kalat | 392 |
0.5%
|
| 413 | kharan | 476 |
0.6%
|
| 414 | khuzdar | 452 |
0.6%
|
| 415 | lasbella | 448 |
0.6%
|
| 416 | mastung | 416 |
0.5%
|
| 417 | washuk | 480 |
0.6%
|
| 421 | gawadar | 368 |
0.5%
|
| 422 | keych/turbat | 448 |
0.6%
|
| 423 | panjgur | 0 |
0%
|
| 431 | jaffarabad | 416 |
0.5%
|
| 432 | jhal magsi | 344 |
0.4%
|
| 433 | bolan/kachhi | 404 |
0.5%
|
| 434 | nasirabad | 408 |
0.5%
|
| 441 | chaghi | 412 |
0.5%
|
| 442 | qilla abdullah | 416 |
0.5%
|
| 443 | nauski | 400 |
0.5%
|
| 444 | pashin | 392 |
0.5%
|
| 445 | quetta" | 864 |
1.1%
|
| 451 | dera bugti | 352 |
0.5%
|
| 452 | harnai | 348 |
0.4%
|
| 453 | kohlu | 328 |
0.4%
|
| 454 | sibbi | 416 |
0.5%
|
| 455 | ziarat | 296 |
0.4%
|
| 461 | barkhan | 364 |
0.5%
|
| 462 | qilla saifullah | 384 |
0.5%
|
| 463 | loralai | 416 |
0.5%
|
| 464 | musa khel | 372 |
0.5%
|
| 465 | 336 |
0.4%
|
|
| 466 | 416 |
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.