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: sec_d.dta
Overview
Valid:
499727
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 | 3438 |
0.7%
|
| 101 | attock | 3362 |
0.7%
|
| 102 | rawalpindi | 8144 |
1.6%
|
| 103 | jehlum | 3520 |
0.7%
|
| 104 | chakwal | 3433 |
0.7%
|
| 105 | sargodha | 6399 |
1.3%
|
| 106 | bhakhar | 3521 |
0.7%
|
| 107 | khushab | 2993 |
0.6%
|
| 108 | mianwali | 3186 |
0.6%
|
| 109 | faisalabad | 14106 |
2.8%
|
| 110 | jhang | 7216 |
1.4%
|
| 111 | t.t.singh | 4947 |
1%
|
| 112 | gujranwala | 7757 |
1.6%
|
| 113 | gujrat | 4735 |
0.9%
|
| 114 | sialkot | 5252 |
1.1%
|
| 115 | hafizabad | 3620 |
0.7%
|
| 116 | mandi bahuddin | 3738 |
0.7%
|
| 117 | narowal | 4427 |
0.9%
|
| 118 | lahore | 16598 |
3.3%
|
| 119 | kasur | 6193 |
1.2%
|
| 120 | okara | 6118 |
1.2%
|
| 121 | sheikupura | 4631 |
0.9%
|
| 122 | nankana sahib | 2951 |
0.6%
|
| 123 | vehari | 5864 |
1.2%
|
| 124 | sahiwal | 4643 |
0.9%
|
| 125 | multan | 8653 |
1.7%
|
| 126 | khanewal | 5197 |
1%
|
| 127 | pakpattan | 3658 |
0.7%
|
| 128 | lodhran | 3236 |
0.6%
|
| 129 | d.g.khan | 5309 |
1.1%
|
| 130 | rajanpur | 4375 |
0.9%
|
| 131 | layyah | 3607 |
0.7%
|
| 132 | muzaffar garh | 5662 |
1.1%
|
| 133 | bahawalpur | 7068 |
1.4%
|
| 134 | bahawalnagar | 5911 |
1.2%
|
| 135 | rahimyar khan' | 8029 |
1.6%
|
| 201 | khairpur | 6437 |
1.3%
|
| 202 | sukkur | 5723 |
1.1%
|
| 203 | nawabshah | 4346 |
0.9%
|
| 204 | nowshero feroze | 5087 |
1%
|
| 205 | ghotki | 5427 |
1.1%
|
| 206 | jaccobabad | 4019 |
0.8%
|
| 207 | kashmore | 3019 |
0.6%
|
| 208 | shikarpur | 4930 |
1%
|
| 209 | larkana | 4805 |
1%
|
| 210 | shahdadkot | 4774 |
1%
|
| 211 | dadu | 5190 |
1%
|
| 212 | jamshoro | 2914 |
0.6%
|
| 213 | hyderabad | 5525 |
1.1%
|
| 214 | maitari | 2718 |
0.5%
|
| 215 | tando allah yar | 2746 |
0.5%
|
| 216 | tando muda khan | 2645 |
0.5%
|
| 217 | badin | 5316 |
1.1%
|
| 218 | thatta | 5715 |
1.1%
|
| 219 | sanghar | 6892 |
1.4%
|
| 220 | mir pur khas | 6585 |
1.3%
|
| 221 | tharparkar | 4421 |
0.9%
|
| 222 | karachi | 24492 |
4.9%
|
| 301 | swat | 2309 |
0.5%
|
| 302 | upper dir | 4452 |
0.9%
|
| 303 | lower dir | 4404 |
0.9%
|
| 304 | chitral | 3515 |
0.7%
|
| 305 | shangla | 2922 |
0.6%
|
| 306 | malakand | 3984 |
0.8%
|
| 307 | bonair | 4159 |
0.8%
|
| 308 | peshawar | 7469 |
1.5%
|
| 309 | charsada | 3797 |
0.8%
|
| 310 | nowshera | 4279 |
0.9%
|
| 311 | kohat | 3981 |
0.8%
|
| 312 | karak | 3966 |
0.8%
|
| 313 | hangu | 3622 |
0.7%
|
| 314 | d.i.khan | 4371 |
0.9%
|
| 315 | tank | 3170 |
0.6%
|
| 316 | manshera | 3444 |
0.7%
|
| 317 | abbottabad | 3212 |
0.6%
|
| 318 | batagram | 3117 |
0.6%
|
| 319 | kohistan | 2922 |
0.6%
|
| 320 | haripur | 3201 |
0.6%
|
| 321 | bannu | 3349 |
0.7%
|
| 322 | lakki marwat | 3358 |
0.7%
|
| 323 | mardan | 4833 |
1%
|
| 324 | swabi | 3609 |
0.7%
|
| 401 | quetta | 7585 |
1.5%
|
| 402 | pashin | 3624 |
0.7%
|
| 403 | qillah abdullah | 4280 |
0.9%
|
| 404 | chagi | 2761 |
0.6%
|
| 405 | nushki | 2941 |
0.6%
|
| 406 | sibbi | 3221 |
0.6%
|
| 407 | ziarat | 3048 |
0.6%
|
| 408 | kohlu | 2120 |
0.4%
|
| 409 | dera bugti | 2629 |
0.5%
|
| 410 | kalat | 2687 |
0.5%
|
| 411 | mastung | 2955 |
0.6%
|
| 412 | khuzdar | 3158 |
0.6%
|
| 413 | awaran | 1803 |
0.4%
|
| 414 | kharan | 2953 |
0.6%
|
| 415 | washuk | 3386 |
0.7%
|
| 416 | lasbilla | 2179 |
0.4%
|
| 417 | ketch/turbat | 2536 |
0.5%
|
| 418 | gwadar | 2323 |
0.5%
|
| 419 | panjgur | 2229 |
0.4%
|
| 420 | zhob | 3354 |
0.7%
|
| 421 | lorali | 2892 |
0.6%
|
| 422 | barkhan | 2244 |
0.4%
|
| 423 | musakhel | 2333 |
0.5%
|
| 424 | qillah saifuallh | 2968 |
0.6%
|
| 425 | nasirabad | 2970 |
0.6%
|
| 426 | jafarabad | 2890 |
0.6%
|
| 427 | jhal magsi | 2294 |
0.5%
|
| 428 | bolan/kacchi | 2696 |
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.