Social and Living Standards Measurement Survey 2008-2009, Round 5
Pakistan, 2008 - 2009
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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283
name of district (district)
Data file: section_f1.dta
Overview
Valid:
698933
Invalid:
-
Minimum:
100
Maximum:
428
Type:
Discrete
Decimal:
0
Start:
12
End:
14
Width:
3
Range:
100 - 428
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 100 | islamabad | 5274 |
0.8%
|
| 101 | attock | 5456 |
0.8%
|
| 102 | rawalpindi | 12669 |
1.8%
|
| 103 | jehlum | 5236 |
0.7%
|
| 104 | chakwal | 5700 |
0.8%
|
| 105 | sargodha | 9930 |
1.4%
|
| 106 | bhakhar | 5263 |
0.8%
|
| 107 | khushab | 4797 |
0.7%
|
| 108 | mianwali | 4749 |
0.7%
|
| 109 | faisalabad | 21465 |
3.1%
|
| 110 | jhang | 11156 |
1.6%
|
| 111 | t.t.singh | 7305 |
1%
|
| 112 | gujranwala | 11287 |
1.6%
|
| 113 | gujrat | 7242 |
1%
|
| 114 | sialkot | 7014 |
1%
|
| 115 | hafizabad | 5556 |
0.8%
|
| 116 | mandi bahuddin | 5637 |
0.8%
|
| 117 | narowal | 6227 |
0.9%
|
| 118 | lahore | 25156 |
3.6%
|
| 119 | kasur | 9081 |
1.3%
|
| 120 | okara | 9369 |
1.3%
|
| 121 | sheikupura | 6457 |
0.9%
|
| 122 | nankana sahib | 4585 |
0.7%
|
| 123 | vehari | 8395 |
1.2%
|
| 124 | sahiwal | 7057 |
1%
|
| 125 | multan | 12401 |
1.8%
|
| 126 | khanewal | 7520 |
1.1%
|
| 127 | pakpattan | 5653 |
0.8%
|
| 128 | lodhran | 4833 |
0.7%
|
| 129 | d.g.khan | 7165 |
1%
|
| 130 | rajanpur | 5817 |
0.8%
|
| 131 | layyah | 5354 |
0.8%
|
| 132 | muzaffar garh | 7582 |
1.1%
|
| 133 | bahawalpur | 10650 |
1.5%
|
| 134 | bahawalnagar | 8673 |
1.2%
|
| 135 | rahimyar khan' | 10848 |
1.6%
|
| 201 | khairpur | 8564 |
1.2%
|
| 202 | sukkur | 7420 |
1.1%
|
| 203 | nawabshah | 6091 |
0.9%
|
| 204 | nowshero feroze | 7075 |
1%
|
| 205 | ghotki | 7117 |
1%
|
| 206 | jaccobabad | 4751 |
0.7%
|
| 207 | kashmore | 4284 |
0.6%
|
| 208 | shikarpur | 6102 |
0.9%
|
| 209 | larkana | 5436 |
0.8%
|
| 210 | shahdadkot | 5708 |
0.8%
|
| 211 | dadu | 6773 |
1%
|
| 212 | jamshoro | 4467 |
0.6%
|
| 213 | hyderabad | 7812 |
1.1%
|
| 214 | maitari | 4028 |
0.6%
|
| 215 | tando allah yar | 3926 |
0.6%
|
| 216 | tando muda khan | 3961 |
0.6%
|
| 217 | badin | 8419 |
1.2%
|
| 218 | thatta | 8771 |
1.3%
|
| 219 | sanghar | 9199 |
1.3%
|
| 220 | mir pur khas | 10340 |
1.5%
|
| 221 | tharparkar | 7204 |
1%
|
| 222 | karachi | 40399 |
5.8%
|
| 301 | swat | 2661 |
0.4%
|
| 302 | upper dir | 4657 |
0.7%
|
| 303 | lower dir | 4833 |
0.7%
|
| 304 | chitral | 4646 |
0.7%
|
| 305 | shangla | 4177 |
0.6%
|
| 306 | malakand | 4560 |
0.7%
|
| 307 | bonair | 4471 |
0.6%
|
| 308 | peshawar | 9892 |
1.4%
|
| 309 | charsada | 4801 |
0.7%
|
| 310 | nowshera | 5660 |
0.8%
|
| 311 | kohat | 5139 |
0.7%
|
| 312 | karak | 4325 |
0.6%
|
| 313 | hangu | 3987 |
0.6%
|
| 314 | d.i.khan | 5083 |
0.7%
|
| 315 | tank | 3712 |
0.5%
|
| 316 | manshera | 5267 |
0.8%
|
| 317 | abbottabad | 4977 |
0.7%
|
| 318 | batagram | 4149 |
0.6%
|
| 319 | kohistan | 3928 |
0.6%
|
| 320 | haripur | 4885 |
0.7%
|
| 321 | bannu | 4215 |
0.6%
|
| 322 | lakki marwat | 4085 |
0.6%
|
| 323 | mardan | 5948 |
0.9%
|
| 324 | swabi | 5150 |
0.7%
|
| 401 | quetta | 7921 |
1.1%
|
| 402 | pashin | 3533 |
0.5%
|
| 403 | qillah abdullah | 3825 |
0.5%
|
| 404 | chagi | 3556 |
0.5%
|
| 405 | nushki | 3920 |
0.6%
|
| 406 | sibbi | 3865 |
0.6%
|
| 407 | ziarat | 3284 |
0.5%
|
| 408 | kohlu | 3216 |
0.5%
|
| 409 | dera bugti | 3196 |
0.5%
|
| 410 | kalat | 3601 |
0.5%
|
| 411 | mastung | 3834 |
0.5%
|
| 412 | khuzdar | 4162 |
0.6%
|
| 413 | awaran | 2893 |
0.4%
|
| 414 | kharan | 4320 |
0.6%
|
| 415 | washuk | 4418 |
0.6%
|
| 416 | lasbilla | 4190 |
0.6%
|
| 417 | ketch/turbat | 4060 |
0.6%
|
| 418 | gwadar | 3325 |
0.5%
|
| 419 | panjgur | 3604 |
0.5%
|
| 420 | zhob | 4004 |
0.6%
|
| 421 | lorali | 3825 |
0.5%
|
| 422 | barkhan | 3278 |
0.5%
|
| 423 | musakhel | 3294 |
0.5%
|
| 424 | qillah saifuallh | 3772 |
0.5%
|
| 425 | nasirabad | 3766 |
0.5%
|
| 426 | jafarabad | 3847 |
0.6%
|
| 427 | jhal magsi | 3123 |
0.4%
|
| 428 | bolan/kacchi | 3687 |
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.