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 i.dta
Overview
Valid:
78958
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 | 541 |
0.7%
|
| 101 | attock | 589 |
0.7%
|
| 102 | rawalpindi | 1291 |
1.6%
|
| 103 | jehlam | 474 |
0.6%
|
| 104 | chakwal | 552 |
0.7%
|
| 105 | sarghodha | 1068 |
1.4%
|
| 106 | bhakkar | 523 |
0.7%
|
| 107 | khushab | 490 |
0.6%
|
| 108 | mianwali | 460 |
0.6%
|
| 109 | faisalabad | 2275 |
2.9%
|
| 110 | jhang | 1195 |
1.5%
|
| 111 | t.t.singhl | 773 |
1%
|
| 112 | gujranwala | 1254 |
1.6%
|
| 113 | gujrat | 777 |
1%
|
| 114 | sialkot | 802 |
1%
|
| 115 | hafiza abad | 579 |
0.7%
|
| 116 | mandi bahauddin | 605 |
0.8%
|
| 117 | narowal | 680 |
0.9%
|
| 118 | lahore | 2698 |
3.4%
|
| 119 | kasur | 957 |
1.2%
|
| 120 | okara | 968 |
1.2%
|
| 121 | sheilupura | 1187 |
1.5%
|
| 122 | vehari | 948 |
1.2%
|
| 123 | sahiwal | 738 |
0.9%
|
| 124 | multan | 1421 |
1.8%
|
| 125 | khanewal | 817 |
1%
|
| 126 | pakpattan | 578 |
0.7%
|
| 127 | lodhran | 504 |
0.6%
|
| 128 | d.g.khan | 837 |
1.1%
|
| 129 | rajanpur | 728 |
0.9%
|
| 130 | leiah | 576 |
0.7%
|
| 131 | muzaffargarh | 903 |
1.1%
|
| 132 | bahawalpur | 1194 |
1.5%
|
| 133 | bahawalnagar | 918 |
1.2%
|
| 134 | rahimyar khan | 1324 |
1.7%
|
| 201 | khairpur | 1015 |
1.3%
|
| 202 | sukkur | 795 |
1%
|
| 203 | nawab shah | 665 |
0.8%
|
| 204 | nehero feroz | 789 |
1%
|
| 205 | ghotki | 820 |
1%
|
| 206 | jacobabad | 1278 |
1.6%
|
| 207 | shikarpur | 788 |
1%
|
| 208 | larkana | 1446 |
1.8%
|
| 209 | dadu | 1178 |
1.5%
|
| 210 | hyderabad | 1596 |
2%
|
| 211 | badin | 904 |
1.1%
|
| 212 | thatta | 904 |
1.1%
|
| 213 | sanghar | 1030 |
1.3%
|
| 214 | mirpur kha | 1008 |
1.3%
|
| 215 | thaeparkar | 698 |
0.9%
|
| 216 | karachi | 4106 |
5.2%
|
| 301 | swat | 816 |
1%
|
| 302 | upper dir | 688 |
0.9%
|
| 303 | lower dir | 764 |
1%
|
| 304 | chitral | 559 |
0.7%
|
| 305 | shangla | 645 |
0.8%
|
| 306 | malakand | 653 |
0.8%
|
| 307 | bonair | 838 |
1.1%
|
| 308 | peshawar | 1320 |
1.7%
|
| 309 | charsada | 542 |
0.7%
|
| 310 | nowshera | 666 |
0.8%
|
| 311 | kohat | 644 |
0.8%
|
| 312 | kark | 591 |
0.7%
|
| 313 | hangu | 735 |
0.9%
|
| 314 | d.i.khan | 690 |
0.9%
|
| 315 | tank | 498 |
0.6%
|
| 316 | mansehra | 591 |
0.7%
|
| 317 | abbotabad | 495 |
0.6%
|
| 318 | batgram | 505 |
0.6%
|
| 319 | kohistan | 384 |
0.5%
|
| 320 | haripur | 547 |
0.7%
|
| 321 | bannu | 578 |
0.7%
|
| 322 | lakki marwat | 525 |
0.7%
|
| 323 | mardan | 759 |
1%
|
| 324 | swabi | 595 |
0.8%
|
| 401 | quetta | 1000 |
1.3%
|
| 402 | peshin | 484 |
0.6%
|
| 403 | qilla abdullah | 646 |
0.8%
|
| 404 | chaghi | 415 |
0.5%
|
| 405 | sibbi | 516 |
0.7%
|
| 406 | ziarat | 491 |
0.6%
|
| 407 | kohlu | 362 |
0.5%
|
| 408 | dera bughti | 401 |
0.5%
|
| 409 | kalat | 476 |
0.6%
|
| 410 | mastung | 433 |
0.5%
|
| 411 | khuzdar | 576 |
0.7%
|
| 412 | awaran | 315 |
0.4%
|
| 413 | kharan | 368 |
0.5%
|
| 414 | lasbilla | 474 |
0.6%
|
| 415 | ketch/turbat | 408 |
0.5%
|
| 416 | gwadar | 361 |
0.5%
|
| 417 | punjgur | 365 |
0.5%
|
| 418 | zhob | 447 |
0.6%
|
| 419 | lorali | 401 |
0.5%
|
| 420 | barkhan | 381 |
0.5%
|
| 421 | musa khel | 377 |
0.5%
|
| 422 | qillah siafullah | 453 |
0.6%
|
| 423 | nasirabad | 490 |
0.6%
|
| 424 | jaferabad | 548 |
0.7%
|
| 425 | jhal magsi | 406 |
0.5%
|
| 426 | bolan /karachi | 492 |
0.6%
|
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.