Social and Living Standards Measurement Survey 2008-2009, Round 5
Pakistan, 2008 - 2009
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
7009
Downloads
182
name of district (district)
Data file: sec_c.dta
Overview
Valid:
452758
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 | 3143 |
0.7%
|
| 101 | attock | 3087 |
0.7%
|
| 102 | rawalpindi | 7503 |
1.7%
|
| 103 | jehlum | 3238 |
0.7%
|
| 104 | chakwal | 3169 |
0.7%
|
| 105 | sargodha | 5828 |
1.3%
|
| 106 | bhakhar | 3231 |
0.7%
|
| 107 | khushab | 2729 |
0.6%
|
| 108 | mianwali | 2921 |
0.6%
|
| 109 | faisalabad | 12912 |
2.9%
|
| 110 | jhang | 6458 |
1.4%
|
| 111 | t.t.singh | 4540 |
1%
|
| 112 | gujranwala | 7027 |
1.6%
|
| 113 | gujrat | 4315 |
1%
|
| 114 | sialkot | 4735 |
1%
|
| 115 | hafizabad | 3231 |
0.7%
|
| 116 | mandi bahuddin | 3422 |
0.8%
|
| 117 | narowal | 3937 |
0.9%
|
| 118 | lahore | 15119 |
3.3%
|
| 119 | kasur | 5531 |
1.2%
|
| 120 | okara | 5473 |
1.2%
|
| 121 | sheikupura | 4193 |
0.9%
|
| 122 | nankana sahib | 2650 |
0.6%
|
| 123 | vehari | 5276 |
1.2%
|
| 124 | sahiwal | 4209 |
0.9%
|
| 125 | multan | 7775 |
1.7%
|
| 126 | khanewal | 4659 |
1%
|
| 127 | pakpattan | 3277 |
0.7%
|
| 128 | lodhran | 2942 |
0.6%
|
| 129 | d.g.khan | 4727 |
1%
|
| 130 | rajanpur | 3866 |
0.9%
|
| 131 | layyah | 3269 |
0.7%
|
| 132 | muzaffar garh | 5033 |
1.1%
|
| 133 | bahawalpur | 6239 |
1.4%
|
| 134 | bahawalnagar | 5263 |
1.2%
|
| 135 | rahimyar khan' | 7145 |
1.6%
|
| 201 | khairpur | 5756 |
1.3%
|
| 202 | sukkur | 5156 |
1.1%
|
| 203 | nawabshah | 3922 |
0.9%
|
| 204 | nowshero feroze | 4607 |
1%
|
| 205 | ghotki | 4858 |
1.1%
|
| 206 | jaccobabad | 3601 |
0.8%
|
| 207 | kashmore | 2726 |
0.6%
|
| 208 | shikarpur | 4407 |
1%
|
| 209 | larkana | 4325 |
1%
|
| 210 | shahdadkot | 4296 |
0.9%
|
| 211 | dadu | 4701 |
1%
|
| 212 | jamshoro | 2645 |
0.6%
|
| 213 | hyderabad | 5095 |
1.1%
|
| 214 | maitari | 2461 |
0.5%
|
| 215 | tando allah yar | 2513 |
0.6%
|
| 216 | tando muda khan | 2423 |
0.5%
|
| 217 | badin | 4751 |
1%
|
| 218 | thatta | 5222 |
1.2%
|
| 219 | sanghar | 6096 |
1.3%
|
| 220 | mir pur khas | 5890 |
1.3%
|
| 221 | tharparkar | 4003 |
0.9%
|
| 222 | karachi | 22836 |
5%
|
| 301 | swat | 2069 |
0.5%
|
| 302 | upper dir | 3912 |
0.9%
|
| 303 | lower dir | 3911 |
0.9%
|
| 304 | chitral | 3222 |
0.7%
|
| 305 | shangla | 2611 |
0.6%
|
| 306 | malakand | 3595 |
0.8%
|
| 307 | bonair | 3683 |
0.8%
|
| 308 | peshawar | 6915 |
1.5%
|
| 309 | charsada | 3526 |
0.8%
|
| 310 | nowshera | 3887 |
0.9%
|
| 311 | kohat | 3569 |
0.8%
|
| 312 | karak | 3523 |
0.8%
|
| 313 | hangu | 3287 |
0.7%
|
| 314 | d.i.khan | 3911 |
0.9%
|
| 315 | tank | 2842 |
0.6%
|
| 316 | manshera | 3103 |
0.7%
|
| 317 | abbottabad | 2935 |
0.6%
|
| 318 | batagram | 2784 |
0.6%
|
| 319 | kohistan | 2645 |
0.6%
|
| 320 | haripur | 2921 |
0.6%
|
| 321 | bannu | 2977 |
0.7%
|
| 322 | lakki marwat | 2948 |
0.7%
|
| 323 | mardan | 4353 |
1%
|
| 324 | swabi | 3288 |
0.7%
|
| 401 | quetta | 6918 |
1.5%
|
| 402 | pashin | 3343 |
0.7%
|
| 403 | qillah abdullah | 4004 |
0.9%
|
| 404 | chagi | 2539 |
0.6%
|
| 405 | nushki | 2739 |
0.6%
|
| 406 | sibbi | 2995 |
0.7%
|
| 407 | ziarat | 2821 |
0.6%
|
| 408 | kohlu | 2050 |
0.5%
|
| 409 | dera bugti | 2451 |
0.5%
|
| 410 | kalat | 2454 |
0.5%
|
| 411 | mastung | 2598 |
0.6%
|
| 412 | khuzdar | 2869 |
0.6%
|
| 413 | awaran | 1715 |
0.4%
|
| 414 | kharan | 2736 |
0.6%
|
| 415 | washuk | 3051 |
0.7%
|
| 416 | lasbilla | 2027 |
0.4%
|
| 417 | ketch/turbat | 2315 |
0.5%
|
| 418 | gwadar | 2123 |
0.5%
|
| 419 | panjgur | 2029 |
0.4%
|
| 420 | zhob | 3019 |
0.7%
|
| 421 | lorali | 2666 |
0.6%
|
| 422 | barkhan | 2078 |
0.5%
|
| 423 | musakhel | 2067 |
0.5%
|
| 424 | qillah saifuallh | 2698 |
0.6%
|
| 425 | nasirabad | 2650 |
0.6%
|
| 426 | jafarabad | 2513 |
0.6%
|
| 427 | jhal magsi | 2066 |
0.5%
|
| 428 | bolan/kacchi | 2445 |
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.