Forced Displacement Survey, 2024
Pakistan, 2024
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Reference ID
UNHCR_PAK_2024_FDS_v2.1
Producer(s)
UNHCR
Collections
Metadata
Created on
Oct 16, 2025
Last modified
Nov 19, 2025
Page views
20132
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- Data files
- Main
- Roster
- Random member
- Woman
- Care giver
District (from target sample) (Intro_03b_NUTS2)
Data file: Roster
Overview
Valid:
41174
Invalid:
0
Type:
Discrete
Range:
1 - 157
Format:
Factor
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 111 | bannu | 84 |
0.2%
|
| 112 | lakki marwat | 81 |
0.2%
|
| 121 | d. i. khan | 46 |
0.1%
|
| 122 | tank | 1 |
0%
|
| 131 | abbottabad | 314 |
0.8%
|
| 132 | batagram | 0 |
0%
|
| 133 | haripur | 1709 |
4.2%
|
| 134 | kohistan | 0 |
0%
|
| 135 | mansehra | 572 |
1.4%
|
| 136 | tor ghar | 0 |
0%
|
| 141 | hangu | 470 |
1.1%
|
| 142 | karak | 863 |
2.1%
|
| 143 | kohat | 1130 |
2.7%
|
| 151 | buner | 307 |
0.7%
|
| 152 | chitral | 102 |
0.2%
|
| 153 | lower dir | 709 |
1.7%
|
| 154 | malakand p area | 185 |
0.4%
|
| 155 | shangla | 0 |
0%
|
| 156 | swat | 31 |
0.1%
|
| 157 | upper dir | 34 |
0.1%
|
| 161 | mardan | 519 |
1.3%
|
| 162 | swabi | 995 |
2.4%
|
| 171 | charsadda | 284 |
0.7%
|
| 172 | nowshera | 1406 |
3.4%
|
| 173 | peshawar | 3576 |
8.7%
|
| 211 | bajaur | 0 |
0%
|
| 212 | khyber | 104 |
0.3%
|
| 213 | kurram | 5 |
0%
|
| 214 | mohmand | 8 |
0%
|
| 215 | n waziristan | 0 |
0%
|
| 216 | orakzai | 0 |
0%
|
| 217 | s waziristan | 38 |
0.1%
|
| 221 | t.a.adj.lakki marwat | 0 |
0%
|
| 222 | t a adj bannu | 0 |
0%
|
| 223 | t a adj d.i.khan | 0 |
0%
|
| 224 | t a adj kohat | 0 |
0%
|
| 225 | t a adj peshawar | 0 |
0%
|
| 226 | t a adj tank | 0 |
0%
|
| 311 | bahawalnagar | 0 |
0%
|
| 312 | bahawalpur | 0 |
0%
|
| 313 | rahim yar khan | 0 |
0%
|
| 321 | dera ghazi khan | 0 |
0%
|
| 322 | layyah | 0 |
0%
|
| 323 | muzaffargarh | 0 |
0%
|
| 324 | rajanpur | 0 |
0%
|
| 331 | faisalabad | 17 |
0%
|
| 332 | jhang | 0 |
0%
|
| 333 | toba tek singh | 0 |
0%
|
| 334 | chiniot | 0 |
0%
|
| 341 | gujranwala | 79 |
0.2%
|
| 342 | gujrat | 266 |
0.6%
|
| 343 | hafizabad | 0 |
0%
|
| 344 | mandi bahauddin | 27 |
0.1%
|
| 345 | narowal | 0 |
0%
|
| 346 | sialkot | 161 |
0.4%
|
| 351 | kasur | 0 |
0%
|
| 352 | lahore | 390 |
0.9%
|
| 353 | okara | 0 |
0%
|
| 354 | sheikhupura | 0 |
0%
|
| 355 | nankana sahib | 0 |
0%
|
| 361 | khanewal | 0 |
0%
|
| 362 | lodhran | 0 |
0%
|
| 363 | multan | 0 |
0%
|
| 364 | pakpattan | 0 |
0%
|
| 365 | sahiwal | 0 |
0%
|
| 366 | vehari | 0 |
0%
|
| 371 | attock | 1452 |
3.5%
|
| 372 | chakwal | 837 |
2%
|
| 373 | jhelum | 146 |
0.4%
|
| 374 | rawalpindi | 1103 |
2.7%
|
| 381 | bhakkar | 0 |
0%
|
| 382 | khushab | 120 |
0.3%
|
| 383 | mianwali | 7185 |
17.5%
|
| 384 | sargodha | 14 |
0%
|
| 411 | badin | 0 |
0%
|
| 412 | dadu | 0 |
0%
|
| 413 | hyderabad | 0 |
0%
|
| 414 | thatta | 0 |
0%
|
| 415 | jamshoro | 0 |
0%
|
| 416 | tando muhammad khan | 0 |
0%
|
| 417 | tando allahyar | 0 |
0%
|
| 418 | matiari | 0 |
0%
|
| 419 | sujawal | 0 |
0%
|
| 421 | karachi central | 59 |
0.1%
|
| 422 | karachi east | 484 |
1.2%
|
| 423 | karachi south | 28 |
0.1%
|
| 424 | karachi west | 122 |
0.3%
|
| 425 | karachi malir | 1818 |
4.4%
|
| 426 | karachi korangi | 82 |
0.2%
|
| 431 | jacobabad | 0 |
0%
|
| 432 | larkana | 0 |
0%
|
| 433 | shikarpur | 0 |
0%
|
| 434 | kambar shahdad kot | 0 |
0%
|
| 435 | kashmore | 0 |
0%
|
| 441 | mirpur khas | 0 |
0%
|
| 442 | sanghar | 0 |
0%
|
| 443 | tharparkar | 0 |
0%
|
| 444 | umer kot | 0 |
0%
|
| 451 | ghotki | 0 |
0%
|
| 452 | khairpur | 0 |
0%
|
| 453 | naushahro feroze | 0 |
0%
|
| 454 | shaheed benazir abad | 0 |
0%
|
| 455 | sukkur | 0 |
0%
|
| 511 | awaran | 0 |
0%
|
| 512 | kalat | 5 |
0%
|
| 513 | kharan | 0 |
0%
|
| 514 | khuzdar | 9 |
0%
|
| 515 | lasbela | 0 |
0%
|
| 516 | mastung | 116 |
0.3%
|
| 517 | washuk | 0 |
0%
|
| 518 | shaheed sikandarabad | 0 |
0%
|
| 521 | gwadar | 0 |
0%
|
| 522 | kech | 0 |
0%
|
| 523 | panjgur | 0 |
0%
|
| 531 | kachhi | 0 |
0%
|
| 532 | jaffarabad | 0 |
0%
|
| 533 | jhal magsi | 0 |
0%
|
| 534 | nasirabad | 0 |
0%
|
| 535 | sohbatpur | 0 |
0%
|
| 541 | chagai | 628 |
1.5%
|
| 542 | killa abdullah | 421 |
1%
|
| 543 | pishin | 3844 |
9.3%
|
| 544 | quetta | 3559 |
8.6%
|
| 545 | nushki | 10 |
0%
|
| 551 | dera bugti | 0 |
0%
|
| 552 | kohlu | 0 |
0%
|
| 553 | sibbi | 0 |
0%
|
| 554 | ziarat | 219 |
0.5%
|
| 555 | harnai | 0 |
0%
|
| 561 | barkhan | 0 |
0%
|
| 562 | killa saifullah | 1400 |
3.4%
|
| 563 | loralai | 1149 |
2.8%
|
| 564 | musakhel | 0 |
0%
|
| 565 | zhob | 23 |
0.1%
|
| 566 | sherani | 0 |
0%
|
| 567 | duki | 82 |
0.2%
|
| 611 | islamabad | 1746 |
4.2%
|
| 712 | diamir | 0 |
0%
|
| 714 | ghizer | 0 |
0%
|
| 715 | gilgit | 0 |
0%
|
| 716 | astore | 0 |
0%
|
| 717 | hunza | 0 |
0%
|
| 718 | nagar | 0 |
0%
|
| 721 | kharmang | 0 |
0%
|
| 722 | shigar | 0 |
0%
|
| 723 | skardu | 0 |
0%
|
| 724 | ghanche | 0 |
0%
|
| 811 | bhimber | 0 |
0%
|
| 812 | kotli | 0 |
0%
|
| 813 | mirpur | 0 |
0%
|
| 821 | bagh | 0 |
0%
|
| 822 | muzaffarabad | 0 |
0%
|
| 823 | poonch | 0 |
0%
|
| 824 | sudhnoti | 0 |
0%
|
| 825 | neelum | 0 |
0%
|
| 826 | haveli(kahuta) | 0 |
0%
|
| 827 | jhelum valley | 0 |
0%
|
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.