Social and Living Standards Measurement Survey 2006-2007, Public Use File
Pakistan, 2006 - 2007
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Jan 16, 2021
Last modified
Jan 16, 2021
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name of district (district)
Data file: section h.dta
Overview
Valid:
63431
Invalid:
-
Minimum:
100
Maximum:
426
Type:
Discrete
Decimal:
0
Start:
12
End:
14
Width:
3
Range:
100 - 426
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 100 | islamabad | 329 |
0.5%
|
| 101 | attock | 338 |
0.5%
|
| 102 | rawalpindi | 795 |
1.3%
|
| 103 | jehlam | 281 |
0.4%
|
| 104 | chakwal | 295 |
0.5%
|
| 105 | sarghodha | 733 |
1.2%
|
| 106 | bhakkar | 349 |
0.6%
|
| 107 | khushab | 319 |
0.5%
|
| 108 | mianwali | 299 |
0.5%
|
| 109 | faisalabad | 1705 |
2.7%
|
| 110 | jhang | 1012 |
1.6%
|
| 111 | t.t.singhl | 512 |
0.8%
|
| 112 | gujranwala | 1042 |
1.6%
|
| 113 | gujrat | 566 |
0.9%
|
| 114 | sialkot | 631 |
1%
|
| 115 | hafiza abad | 454 |
0.7%
|
| 116 | mandi bahauddin | 428 |
0.7%
|
| 117 | narowal | 629 |
1%
|
| 118 | lahore | 1913 |
3%
|
| 119 | kasur | 894 |
1.4%
|
| 120 | okara | 866 |
1.4%
|
| 121 | sheilupura | 960 |
1.5%
|
| 122 | vehari | 743 |
1.2%
|
| 123 | sahiwal | 564 |
0.9%
|
| 124 | multan | 1098 |
1.7%
|
| 125 | khanewal | 659 |
1%
|
| 126 | pakpattan | 472 |
0.7%
|
| 127 | lodhran | 396 |
0.6%
|
| 128 | d.g.khan | 780 |
1.2%
|
| 129 | rajanpur | 734 |
1.2%
|
| 130 | leiah | 477 |
0.8%
|
| 131 | muzaffargarh | 815 |
1.3%
|
| 132 | bahawalpur | 990 |
1.6%
|
| 133 | bahawalnagar | 790 |
1.2%
|
| 134 | rahimyar khan | 1175 |
1.9%
|
| 201 | khairpur | 933 |
1.5%
|
| 202 | sukkur | 725 |
1.1%
|
| 203 | nawab shah | 589 |
0.9%
|
| 204 | nehero feroz | 696 |
1.1%
|
| 205 | ghotki | 752 |
1.2%
|
| 206 | jacobabad | 1017 |
1.6%
|
| 207 | shikarpur | 778 |
1.2%
|
| 208 | larkana | 1257 |
2%
|
| 209 | dadu | 1020 |
1.6%
|
| 210 | hyderabad | 1429 |
2.3%
|
| 211 | badin | 815 |
1.3%
|
| 212 | thatta | 661 |
1%
|
| 213 | sanghar | 991 |
1.6%
|
| 214 | mirpur kha | 823 |
1.3%
|
| 215 | thaeparkar | 575 |
0.9%
|
| 216 | karachi | 2533 |
4%
|
| 301 | swat | 668 |
1.1%
|
| 302 | upper dir | 696 |
1.1%
|
| 303 | lower dir | 647 |
1%
|
| 304 | chitral | 384 |
0.6%
|
| 305 | shangla | 570 |
0.9%
|
| 306 | malakand | 553 |
0.9%
|
| 307 | bonair | 750 |
1.2%
|
| 308 | peshawar | 1090 |
1.7%
|
| 309 | charsada | 390 |
0.6%
|
| 310 | nowshera | 487 |
0.8%
|
| 311 | kohat | 506 |
0.8%
|
| 312 | kark | 608 |
1%
|
| 313 | hangu | 622 |
1%
|
| 314 | d.i.khan | 571 |
0.9%
|
| 315 | tank | 419 |
0.7%
|
| 316 | mansehra | 472 |
0.7%
|
| 317 | abbotabad | 291 |
0.5%
|
| 318 | batgram | 488 |
0.8%
|
| 319 | kohistan | 257 |
0.4%
|
| 320 | haripur | 333 |
0.5%
|
| 321 | bannu | 549 |
0.9%
|
| 322 | lakki marwat | 546 |
0.9%
|
| 323 | mardan | 641 |
1%
|
| 324 | swabi | 426 |
0.7%
|
| 401 | quetta | 839 |
1.3%
|
| 402 | peshin | 415 |
0.7%
|
| 403 | qilla abdullah | 650 |
1%
|
| 404 | chaghi | 360 |
0.6%
|
| 405 | sibbi | 396 |
0.6%
|
| 406 | ziarat | 357 |
0.6%
|
| 407 | kohlu | 265 |
0.4%
|
| 408 | dera bughti | 325 |
0.5%
|
| 409 | kalat | 382 |
0.6%
|
| 410 | mastung | 255 |
0.4%
|
| 411 | khuzdar | 453 |
0.7%
|
| 412 | awaran | 207 |
0.3%
|
| 413 | kharan | 310 |
0.5%
|
| 414 | lasbilla | 386 |
0.6%
|
| 415 | ketch/turbat | 358 |
0.6%
|
| 416 | gwadar | 279 |
0.4%
|
| 417 | punjgur | 355 |
0.6%
|
| 418 | zhob | 348 |
0.5%
|
| 419 | lorali | 309 |
0.5%
|
| 420 | barkhan | 280 |
0.4%
|
| 421 | musa khel | 289 |
0.5%
|
| 422 | qillah siafullah | 402 |
0.6%
|
| 423 | nasirabad | 411 |
0.6%
|
| 424 | jaferabad | 459 |
0.7%
|
| 425 | jhal magsi | 401 |
0.6%
|
| 426 | bolan /karachi | 339 |
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.