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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name of district (district)
Data file: section_e.dta
Overview
Valid:
360084
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 | 2696 |
0.7%
|
| 101 | attock | 2592 |
0.7%
|
| 102 | rawalpindi | 6435 |
1.8%
|
| 103 | jehlum | 2772 |
0.8%
|
| 104 | chakwal | 2680 |
0.7%
|
| 105 | sargodha | 4878 |
1.4%
|
| 106 | bhakhar | 2624 |
0.7%
|
| 107 | khushab | 2264 |
0.6%
|
| 108 | mianwali | 2423 |
0.7%
|
| 109 | faisalabad | 10751 |
3%
|
| 110 | jhang | 5245 |
1.5%
|
| 111 | t.t.singh | 3749 |
1%
|
| 112 | gujranwala | 5747 |
1.6%
|
| 113 | gujrat | 3601 |
1%
|
| 114 | sialkot | 3914 |
1.1%
|
| 115 | hafizabad | 2621 |
0.7%
|
| 116 | mandi bahuddin | 2866 |
0.8%
|
| 117 | narowal | 3143 |
0.9%
|
| 118 | lahore | 12805 |
3.6%
|
| 119 | kasur | 4420 |
1.2%
|
| 120 | okara | 4410 |
1.2%
|
| 121 | sheikupura | 3430 |
1%
|
| 122 | nankana sahib | 2092 |
0.6%
|
| 123 | vehari | 4282 |
1.2%
|
| 124 | sahiwal | 3481 |
1%
|
| 125 | multan | 6375 |
1.8%
|
| 126 | khanewal | 3783 |
1.1%
|
| 127 | pakpattan | 2628 |
0.7%
|
| 128 | lodhran | 2380 |
0.7%
|
| 129 | d.g.khan | 3615 |
1%
|
| 130 | rajanpur | 2874 |
0.8%
|
| 131 | layyah | 2586 |
0.7%
|
| 132 | muzaffar garh | 3848 |
1.1%
|
| 133 | bahawalpur | 4976 |
1.4%
|
| 134 | bahawalnagar | 4275 |
1.2%
|
| 135 | rahimyar khan' | 5488 |
1.5%
|
| 201 | khairpur | 4298 |
1.2%
|
| 202 | sukkur | 4011 |
1.1%
|
| 203 | nawabshah | 2979 |
0.8%
|
| 204 | nowshero feroze | 3469 |
1%
|
| 205 | ghotki | 3631 |
1%
|
| 206 | jaccobabad | 2757 |
0.8%
|
| 207 | kashmore | 2027 |
0.6%
|
| 208 | shikarpur | 3352 |
0.9%
|
| 209 | larkana | 3261 |
0.9%
|
| 210 | shahdadkot | 3197 |
0.9%
|
| 211 | dadu | 3551 |
1%
|
| 212 | jamshoro | 2103 |
0.6%
|
| 213 | hyderabad | 4155 |
1.2%
|
| 214 | maitari | 1892 |
0.5%
|
| 215 | tando allah yar | 1948 |
0.5%
|
| 216 | tando muda khan | 1873 |
0.5%
|
| 217 | badin | 3684 |
1%
|
| 218 | thatta | 4190 |
1.2%
|
| 219 | sanghar | 4652 |
1.3%
|
| 220 | mir pur khas | 4551 |
1.3%
|
| 221 | tharparkar | 3108 |
0.9%
|
| 222 | karachi | 19464 |
5.4%
|
| 301 | swat | 1630 |
0.5%
|
| 302 | upper dir | 2965 |
0.8%
|
| 303 | lower dir | 3010 |
0.8%
|
| 304 | chitral | 2623 |
0.7%
|
| 305 | shangla | 1937 |
0.5%
|
| 306 | malakand | 2872 |
0.8%
|
| 307 | bonair | 2719 |
0.8%
|
| 308 | peshawar | 5570 |
1.5%
|
| 309 | charsada | 2789 |
0.8%
|
| 310 | nowshera | 3149 |
0.9%
|
| 311 | kohat | 2731 |
0.8%
|
| 312 | karak | 2713 |
0.8%
|
| 313 | hangu | 2500 |
0.7%
|
| 314 | d.i.khan | 3105 |
0.9%
|
| 315 | tank | 2213 |
0.6%
|
| 316 | manshera | 2511 |
0.7%
|
| 317 | abbottabad | 2427 |
0.7%
|
| 318 | batagram | 2060 |
0.6%
|
| 319 | kohistan | 1977 |
0.5%
|
| 320 | haripur | 2474 |
0.7%
|
| 321 | bannu | 2291 |
0.6%
|
| 322 | lakki marwat | 2327 |
0.6%
|
| 323 | mardan | 3464 |
1%
|
| 324 | swabi | 2604 |
0.7%
|
| 401 | quetta | 5578 |
1.5%
|
| 402 | pashin | 2712 |
0.8%
|
| 403 | qillah abdullah | 3098 |
0.9%
|
| 404 | chagi | 1924 |
0.5%
|
| 405 | nushki | 2136 |
0.6%
|
| 406 | sibbi | 2359 |
0.7%
|
| 407 | ziarat | 2312 |
0.6%
|
| 408 | kohlu | 1766 |
0.5%
|
| 409 | dera bugti | 1903 |
0.5%
|
| 410 | kalat | 1738 |
0.5%
|
| 411 | mastung | 1948 |
0.5%
|
| 412 | khuzdar | 2181 |
0.6%
|
| 413 | awaran | 1333 |
0.4%
|
| 414 | kharan | 2031 |
0.6%
|
| 415 | washuk | 2247 |
0.6%
|
| 416 | lasbilla | 1730 |
0.5%
|
| 417 | ketch/turbat | 1757 |
0.5%
|
| 418 | gwadar | 1595 |
0.4%
|
| 419 | panjgur | 1562 |
0.4%
|
| 420 | zhob | 2355 |
0.7%
|
| 421 | lorali | 1995 |
0.6%
|
| 422 | barkhan | 1635 |
0.5%
|
| 423 | musakhel | 1520 |
0.4%
|
| 424 | qillah saifuallh | 1919 |
0.5%
|
| 425 | nasirabad | 2021 |
0.6%
|
| 426 | jafarabad | 1785 |
0.5%
|
| 427 | jhal magsi | 1546 |
0.4%
|
| 428 | bolan/kacchi | 1835 |
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.