Nepal Living Standards Survey 2022-2023, Fourth round
Nepal, 2022 - 2023
National Statistics Office
Created on June 25, 2026
Last modified June 25, 2026
Page views 4581
Download 47
Documentation in PDF
Metadata
DDI/XML
JSON
Where is this plot located? district (q11_04)
Data file: S11A1
Overview
Valid:
19762
Invalid:
3
Type:
Discrete
Decimal:
0
Width:
3
Range:
101 - 819
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | TAPLEJUNG | 111 |
0.6%
|
| 102 | SANKHUWASABHA | 81 |
0.4%
|
| 103 | SOLUKHUMBU | 123 |
0.6%
|
| 104 | OKHALDHUNGA | 112 |
0.6%
|
| 105 | KHOTANG | 225 |
1.1%
|
| 106 | BHOJPUR | 126 |
0.6%
|
| 107 | DHANKUTA | 75 |
0.4%
|
| 108 | TERHATHUM | 46 |
0.2%
|
| 109 | PANCHTHAR | 141 |
0.7%
|
| 110 | ILAM | 164 |
0.8%
|
| 111 | JHAPA | 265 |
1.3%
|
| 112 | MORANG | 264 |
1.3%
|
| 113 | SUNSARI | 180 |
0.9%
|
| 114 | UDAYAPUR | 101 |
0.5%
|
| 201 | SAPTARI | 360 |
1.8%
|
| 202 | SIRAHA | 287 |
1.5%
|
| 203 | DHANUSA | 297 |
1.5%
|
| 204 | MAHOTTARI | 285 |
1.4%
|
| 205 | SARLAHI | 253 |
1.3%
|
| 206 | RAUTAHAT | 200 |
1%
|
| 207 | BARA | 197 |
1%
|
| 208 | PARSA | 183 |
0.9%
|
| 301 | DOLAKHA | 318 |
1.6%
|
| 302 | SINDHUPALCHOK | 383 |
1.9%
|
| 303 | RASUWA | 37 |
0.2%
|
| 304 | DHADING | 355 |
1.8%
|
| 305 | NUWAKOT | 339 |
1.7%
|
| 306 | KATHMANDU | 130 |
0.7%
|
| 307 | BHAKTAPUR | 82 |
0.4%
|
| 308 | LALITPUR | 52 |
0.3%
|
| 309 | KAVREPALANCHOK | 292 |
1.5%
|
| 310 | RAMECHHAP | 257 |
1.3%
|
| 311 | SINDHULI | 226 |
1.1%
|
| 312 | MAKWANPUR | 238 |
1.2%
|
| 313 | CHITAWAN | 234 |
1.2%
|
| 401 | GORKHA | 582 |
2.9%
|
| 402 | MANANG | 0 |
0%
|
| 403 | MUSTANG | 5 |
0%
|
| 404 | MYAGDI | 154 |
0.8%
|
| 405 | KASKI | 311 |
1.6%
|
| 406 | LAMJUNG | 159 |
0.8%
|
| 407 | TANAHU | 383 |
1.9%
|
| 408 | NAWALPARASI EAST | 250 |
1.3%
|
| 409 | SYANGJA | 405 |
2%
|
| 410 | PARBAT | 163 |
0.8%
|
| 411 | BAGLUNG | 330 |
1.7%
|
| 501 | RUKUM EAST | 134 |
0.7%
|
| 502 | ROLPA | 361 |
1.8%
|
| 503 | PYUTHAN | 251 |
1.3%
|
| 504 | GULMI | 216 |
1.1%
|
| 505 | ARGHAKHANCHI | 212 |
1.1%
|
| 506 | PALPA | 254 |
1.3%
|
| 507 | NAWALPARASI WEST | 181 |
0.9%
|
| 508 | RUPANDEHI | 546 |
2.8%
|
| 509 | KAPILBASTU | 497 |
2.5%
|
| 510 | DANG | 404 |
2%
|
| 511 | BANKE | 202 |
1%
|
| 512 | BARDIYA | 232 |
1.2%
|
| 601 | DOLPA | 133 |
0.7%
|
| 602 | MUGU | 305 |
1.5%
|
| 603 | HUMLA | 194 |
1%
|
| 604 | JUMLA | 397 |
2%
|
| 605 | KALIKOT | 266 |
1.3%
|
| 606 | DAILEKH | 517 |
2.6%
|
| 607 | JAJARKOT | 416 |
2.1%
|
| 608 | RUKUM WEST | 361 |
1.8%
|
| 609 | SALYAN | 544 |
2.8%
|
| 610 | SURKHET | 463 |
2.3%
|
| 701 | BAJURA | 293 |
1.5%
|
| 702 | BAJHANG | 324 |
1.6%
|
| 703 | DARCHULA | 186 |
0.9%
|
| 704 | BAITADI | 395 |
2%
|
| 705 | DADELDHURA | 115 |
0.6%
|
| 706 | DOTI | 307 |
1.6%
|
| 707 | ACHHAM | 402 |
2%
|
| 708 | KAILALI | 551 |
2.8%
|
| 709 | KANCHANPUR | 342 |
1.7%
|
| 801 | INDIA | 0 |
0%
|
| 802 | BHUTAN | 0 |
0%
|
| 803 | CHINA | 0 |
0%
|
| 804 | BANGLADESH | 0 |
0%
|
| 805 | HONG KONG | 0 |
0%
|
| 806 | MALAYASIA | 0 |
0%
|
| 807 | JAPAN | 0 |
0%
|
| 808 | SAUDI ARABIA | 0 |
0%
|
| 809 | QATAR | 0 |
0%
|
| 810 | UNITED ARAB EMIRATES | 0 |
0%
|
| 811 | UNITED KINGDOM | 0 |
0%
|
| 812 | UNITED STATES OF AMERICA | 0 |
0%
|
| 813 | SOUTH KOREA | 0 |
0%
|
| 814 | AUSTRALIA | 0 |
0%
|
| 815 | ISRAEL | 0 |
0%
|
| 816 | BAHRAIN | 0 |
0%
|
| 817 | RUMANIA | 0 |
0%
|
| 818 | CANADA | 0 |
0%
|
| 819 | OTHER COUNTRY | 0 |
0%
|
| Sysmiss | 3 |
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.