Nepal Living Standards Survey 2022-2023, Fourth round
Nepal, 2022 - 2023
National Statistics Office
Created on June 25, 2026
Last modified June 25, 2026
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{4.04_1} Name of District/Country (q04_04_1)
Data file: S04
Overview
Valid:
13440
Invalid:
0
Type:
Discrete
Width:
100
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| . | 6 |
0%
|
|
| 1jhapa | 1 |
0%
|
|
| ACHHAM | 3 |
0%
|
|
| ARGHAKHACHI | 2 |
0%
|
|
| ARGHAKHANCHI | 47 |
0.3%
|
|
| Achham | 33 |
0.2%
|
|
| BAGLUNG | 3 |
0%
|
|
| BAITADI | 4 |
0%
|
|
| BAJHANG | 2 |
0%
|
|
| BANKE | 23 |
0.2%
|
|
| BARA | 96 |
0.7%
|
|
| BARDIYA | 23 |
0.2%
|
|
| BHAKTAPUR | 22 |
0.2%
|
|
| BHOJPUR | 6 |
0%
|
|
| BKT | 7 |
0.1%
|
|
| BKT\ | 1 |
0%
|
|
| BKt | 1 |
0%
|
|
| BUTWAL | 2 |
0%
|
|
| Baglung | 1 |
0%
|
|
| Baitadi | 6 |
0%
|
|
| Bajhang | 38 |
0.3%
|
|
| Bajhanga | 1 |
0%
|
|
| Bajura | 3 |
0%
|
|
| Bake | 1 |
0%
|
|
| Banke | 26 |
0.2%
|
|
| Bara | 4 |
0%
|
|
| Bardiya | 5 |
0%
|
|
| Bhakrapur | 1 |
0%
|
|
| Bhaktapur | 26 |
0.2%
|
|
| Bhaktpur | 2 |
0%
|
|
| Bhjhang | 1 |
0%
|
|
| BhkatPUR | 1 |
0%
|
|
| Bhojpur | 3 |
0%
|
|
| Bkt | 2 |
0%
|
|
| Bnake | 1 |
0%
|
|
| CHITAWAN | 2 |
0%
|
|
| CHITWAN | 23 |
0.2%
|
|
| Chitwan | 75 |
0.6%
|
|
| DADELDHURA | 2 |
0%
|
|
| DAILEKH | 59 |
0.4%
|
|
| DAILEKH. | 1 |
0%
|
|
| DANG | 72 |
0.5%
|
|
| DARCHULA | 2 |
0%
|
|
| DHADING | 33 |
0.2%
|
|
| DHANKUTA | 1 |
0%
|
|
| DHANUSA | 2 |
0%
|
|
| DHANUSHA | 77 |
0.6%
|
|
| DOLAKHA | 4 |
0%
|
|
| DOLKHA | 2 |
0%
|
|
| DOLPA | 2 |
0%
|
|
| Dadeldhura | 44 |
0.3%
|
|
| Dang | 8 |
0.1%
|
|
| Darchula | 1 |
0%
|
|
| Dhading | 9 |
0.1%
|
|
| Dhankuta | 1 |
0%
|
|
| Dhanusa | 2 |
0%
|
|
| Dolakha | 31 |
0.2%
|
|
| Doti | 28 |
0.2%
|
|
| Dubai | 2 |
0%
|
|
| EAMECHAAP | 1 |
0%
|
|
| EAST NAWALPARASI | 2 |
0%
|
|
| GORKHA | 3 |
0%
|
|
| GULMI | 36 |
0.3%
|
|
| Gorkha | 5 |
0%
|
|
| Gulmi | 12 |
0.1%
|
|
| HUMLA | 5 |
0%
|
|
| ILLAM | 2 |
0%
|
|
| INDAI | 1 |
0%
|
|
| INDIA | 49 |
0.4%
|
|
| INIDA | 1 |
0%
|
|
| Ilam | 1 |
0%
|
|
| India | 25 |
0.2%
|
|
| JAJARKOT | 8 |
0.1%
|
|
| JHAPA | 6 |
0%
|
|
| JORDAN | 1 |
0%
|
|
| JUMLA | 19 |
0.1%
|
|
| KAILAI | 1 |
0%
|
|
| KAILAKI | 1 |
0%
|
|
| KAILALI | 23 |
0.2%
|
|
| KALIKOT | 25 |
0.2%
|
|
| KANCHANPRU | 1 |
0%
|
|
| KANCHANPUR | 31 |
0.2%
|
|
| KANCHCANPUR | 1 |
0%
|
|
| KAPILBASTU | 3 |
0%
|
|
| KAPILVASTU | 90 |
0.7%
|
|
| KASKI | 18 |
0.1%
|
|
| KATHMANDU | 245 |
1.8%
|
|
| KATHMANDUI | 1 |
0%
|
|
| KAVRE | 3 |
0%
|
|
| KAVREPALANCHOWK | 7 |
0.1%
|
|
| KHOTANG | 8 |
0.1%
|
|
| KTM | 3 |
0%
|
|
| Kailali | 84 |
0.6%
|
|
| Kailli | 1 |
0%
|
|
| Kanchanpur | 90 |
0.7%
|
|
| Kapilvastu | 14 |
0.1%
|
|
| Kapilvastuy | 1 |
0%
|
|
| Kaski | 2 |
0%
|
|
| Kathamandu | 1 |
0%
|
|
| Kathandu | 2 |
0%
|
|
| Kathmandu | 200 |
1.5%
|
|
| Kavre | 24 |
0.2%
|
|
| Kavrepalanchwok | 2 |
0%
|
|
| Khotang | 19 |
0.1%
|
|
| Kialali | 2 |
0%
|
|
| Kilali | 2 |
0%
|
|
| Knachanpur | 1 |
0%
|
|
| Ktm | 1 |
0%
|
|
| LAMJUNG | 5 |
0%
|
|
| Lalitpur | 4 |
0%
|
|
| Lamjung | 5 |
0%
|
|
| MAHOTTARI | 79 |
0.6%
|
|
| MAKAWANPUR | 36 |
0.3%
|
|
| MAKWANPUR | 39 |
0.3%
|
|
| MALASIYA | 1 |
0%
|
|
| MALASYIA | 1 |
0%
|
|
| MALAYSIA | 1 |
0%
|
|
| MHAOTTARI | 1 |
0%
|
|
| MOHATARI | 1 |
0%
|
|
| MOHATTARI | 3 |
0%
|
|
| MORANG | 12 |
0.1%
|
|
| MUGU | 6 |
0%
|
|
| MUSTANG | 1 |
0%
|
|
| MYAGDI | 2 |
0%
|
|
| Mahottari | 1 |
0%
|
|
| Makawanpur | 4 |
0%
|
|
| Makwanpur | 10 |
0.1%
|
|
| Malayasia | 2 |
0%
|
|
| Malaysia | 3 |
0%
|
|
| Malesiya | 1 |
0%
|
|
| Morang | 4 |
0%
|
|
| NAWALPARASI | 1 |
0%
|
|
| NAWALPARASI WEST | 4 |
0%
|
|
| NUWAKOT | 17 |
0.1%
|
|
| Nawalparasi | 4 |
0%
|
|
| Nuwakot | 8 |
0.1%
|
|
| Nwalparasi | 1 |
0%
|
|
| OKALDHUNGA | 3 |
0%
|
|
| OKHALDHUNGA | 4 |
0%
|
|
| PALPA | 46 |
0.3%
|
|
| PARBAT | 7 |
0.1%
|
|
| PARSA | 158 |
1.2%
|
|
| POKHARA | 1 |
0%
|
|
| PYUTHAN | 25 |
0.2%
|
|
| Parbat | 5 |
0%
|
|
| Parsa | 1 |
0%
|
|
| Pyuthan | 4 |
0%
|
|
| QATAR | 3 |
0%
|
|
| Qatar | 1 |
0%
|
|
| RAMECHAAP | 13 |
0.1%
|
|
| RAMECHAP | 1 |
0%
|
|
| RAUTAHAT | 67 |
0.5%
|
|
| ROLPA | 20 |
0.1%
|
|
| RUKUM WEST | 2 |
0%
|
|
| RUPANDEHI | 131 |
1%
|
|
| Ramechap | 1 |
0%
|
|
| Ramechhap | 13 |
0.1%
|
|
| Rasuwa | 6 |
0%
|
|
| Rautahat | 1 |
0%
|
|
| Rsuwa | 1 |
0%
|
|
| Rukum | 1 |
0%
|
|
| Rupandehi | 5 |
0%
|
|
| Rupandhai | 10 |
0.1%
|
|
| SALYAN | 22 |
0.2%
|
|
| SANKHUWASABHA | 1 |
0%
|
|
| SAPTARI | 61 |
0.5%
|
|
| SARLAHI | 88 |
0.7%
|
|
| SAUDI | 3 |
0%
|
|
| SAUDI ARABIA | 1 |
0%
|
|
| SHINDHUPALCHOWK | 1 |
0%
|
|
| SINDHULI | 33 |
0.2%
|
|
| SINDHUPALCHOWK | 27 |
0.2%
|
|
| SIRAHA | 49 |
0.4%
|
|
| SNKHUWASABHA | 1 |
0%
|
|
| SRALAHI | 1 |
0%
|
|
| SUEKHET | 1 |
0%
|
|
| SUNSARI | 5 |
0%
|
|
| SURKHET | 136 |
1%
|
|
| SYANGJA | 9 |
0.1%
|
|
| SYANJA | 1 |
0%
|
|
| Samyutka Arab imired | 1 |
0%
|
|
| Saptari | 1 |
0%
|
|
| Sarlahi | 22 |
0.2%
|
|
| Saudi Arabia | 1 |
0%
|
|
| Sindhuli | 28 |
0.2%
|
|
| Sindhupalchwk | 1 |
0%
|
|
| Sindhupalchwok | 15 |
0.1%
|
|
| Siraha | 7 |
0.1%
|
|
| Solukhmbu | 1 |
0%
|
|
| Solukhumbhu | 1 |
0%
|
|
| Solukhumbu | 18 |
0.1%
|
|
| Sunsari | 45 |
0.3%
|
|
| Surkhet | 2 |
0%
|
|
| TANAHAU | 3 |
0%
|
|
| TANAHU | 10 |
0.1%
|
|
| TERHATHUM | 3 |
0%
|
|
| TERHTHUM | 1 |
0%
|
|
| TERTHUM | 3 |
0%
|
|
| THERHATHUM | 1 |
0%
|
|
| TRETHUM | 1 |
0%
|
|
| Tanahu | 1 |
0%
|
|
| UDAYAPUR | 1 |
0%
|
|
| UDAYPUR | 3 |
0%
|
|
| UDYAPUR | 1 |
0%
|
|
| Udapur | 1 |
0%
|
|
| Udayapur | 1 |
0%
|
|
| Udaypur | 28 |
0.2%
|
|
| WEST NAWALPARASI | 25 |
0.2%
|
|
| WEST RUKUM | 9 |
0.1%
|
|
| West Nawalparashi | 1 |
0%
|
|
| West Nawalparasi | 1 |
0%
|
|
| aarghakhachi | 1 |
0%
|
|
| accham | 1 |
0%
|
|
| acham | 5 |
0%
|
|
| achham | 73 |
0.5%
|
|
| arghakhac hi | 1 |
0%
|
|
| arghakhachi | 26 |
0.2%
|
|
| arghakhaqchi | 1 |
0%
|
|
| arghakhaxchi | 1 |
0%
|
|
| asunsari | 1 |
0%
|
|
| australia | 1 |
0%
|
|
| b haktapur | 1 |
0%
|
|
| bHAKTAPUR | 1 |
0%
|
|
| baake | 1 |
0%
|
|
| baglumg | 1 |
0%
|
|
| baglung | 119 |
0.9%
|
|
| baitadi | 83 |
0.6%
|
|
| bajhajg | 1 |
0%
|
|
| bajhang | 24 |
0.2%
|
|
| bajura | 48 |
0.4%
|
|
| bake | 2 |
0%
|
|
| banggaladesh | 1 |
0%
|
|
| banke | 206 |
1.5%
|
|
| bara | 138 |
1%
|
|
| barain | 1 |
0%
|
|
| bardiya | 153 |
1.1%
|
|
| batra | 1 |
0%
|
|
| belayat | 1 |
0%
|
|
| bhaktaour | 1 |
0%
|
|
| bhaktapur | 82 |
0.6%
|
|
| bhaktaput | 1 |
0%
|
|
| bhaktaur | 1 |
0%
|
|
| bharat | 99 |
0.7%
|
|
| bhjaktapur | 1 |
0%
|
|
| bhojpur | 34 |
0.3%
|
|
| bkt | 27 |
0.2%
|
|
| bradiya | 1 |
0%
|
|
| china | 1 |
0%
|
|
| chiotwan | 1 |
0%
|
|
| chitawan | 24 |
0.2%
|
|
| chitawn | 1 |
0%
|
|
| chitwaan | 2 |
0%
|
|
| chitwan | 367 |
2.7%
|
|
| chiwatan | 2 |
0%
|
|
| chotwan | 1 |
0%
|
|
| daailekh | 1 |
0%
|
|
| dadaldhura | 2 |
0%
|
|
| dadeldhura | 47 |
0.3%
|
|
| dadheldhura | 1 |
0%
|
|
| dadhing | 1 |
0%
|
|
| dailekh | 59 |
0.4%
|
|
| dailkeh | 1 |
0%
|
|
| dang | 200 |
1.5%
|
|
| darchula | 68 |
0.5%
|
|
| dcarchula | 1 |
0%
|
|
| dehanusha | 1 |
0%
|
|
| dhadhing | 2 |
0%
|
|
| dhading | 68 |
0.5%
|
|
| dhaging | 1 |
0%
|
|
| dhankota | 1 |
0%
|
|
| dhankuat | 1 |
0%
|
|
| dhankuta | 53 |
0.4%
|
|
| dhanusa | 2 |
0%
|
|
| dhanusha | 207 |
1.5%
|
|
| dhnakuta | 3 |
0%
|
|
| dhnausha | 4 |
0%
|
|
| dolakha | 29 |
0.2%
|
|
| dolkha | 2 |
0%
|
|
| dolpa | 10 |
0.1%
|
|
| doti | 64 |
0.5%
|
|
| dubae | 1 |
0%
|
|
| dubai | 5 |
0%
|
|
| duwai | 1 |
0%
|
|
| garkha | 1 |
0%
|
|
| girakha | 1 |
0%
|
|
| girkha | 1 |
0%
|
|
| gokha | 1 |
0%
|
|
| gorakha | 8 |
0.1%
|
|
| gorkha | 93 |
0.7%
|
|
| gulmi | 45 |
0.3%
|
|
| hong kong | 2 |
0%
|
|
| hongkong | 3 |
0%
|
|
| humla | 8 |
0.1%
|
|
| humlaa | 1 |
0%
|
|
| ilam | 126 |
0.9%
|
|
| ilan | 1 |
0%
|
|
| illam | 7 |
0.1%
|
|
| india | 137 |
1%
|
|
| jajarkot | 55 |
0.4%
|
|
| jajrkot | 1 |
0%
|
|
| japan | 2 |
0%
|
|
| jha[pa | 1 |
0%
|
|
| jhaapa | 1 |
0%
|
|
| jhapa | 468 |
3.5%
|
|
| jhapoa | 1 |
0%
|
|
| jhappa | 1 |
0%
|
|
| jjhapa | 1 |
0%
|
|
| jqajarkot | 1 |
0%
|
|
| jumla | 27 |
0.2%
|
|
| kaalikot | 1 |
0%
|
|
| kabhare | 20 |
0.1%
|
|
| kabhrepalanchock | 1 |
0%
|
|
| kailai | 3 |
0%
|
|
| kailali | 463 |
3.4%
|
|
| kailali. | 1 |
0%
|
|
| kaksi | 1 |
0%
|
|
| kakski | 1 |
0%
|
|
| kalikot | 27 |
0.2%
|
|
| kanchanchapur | 1 |
0%
|
|
| kanchanpur | 197 |
1.5%
|
|
| kapilbastu | 21 |
0.2%
|
|
| kapilvastu | 72 |
0.5%
|
|
| kaski | 304 |
2.3%
|
|
| katar | 9 |
0.1%
|
|
| kathamandau | 1 |
0%
|
|
| kathamandu | 3 |
0%
|
|
| kathamdndu | 1 |
0%
|
|
| kathamndu | 2 |
0%
|
|
| kathmandau | 4 |
0%
|
|
| kathmanddu | 1 |
0%
|
|
| kathmandu | 577 |
4.3%
|
|
| kavre | 62 |
0.5%
|
|
| kavrepalanchowk | 1 |
0%
|
|
| kavrepalanchwok | 5 |
0%
|
|
| kavreplanchowk | 46 |
0.3%
|
|
| khkotang | 1 |
0%
|
|
| khotang | 31 |
0.2%
|
|
| korea | 1 |
0%
|
|
| koria | 1 |
0%
|
|
| koriya | 1 |
0%
|
|
| ktm | 114 |
0.8%
|
|
| kubet | 2 |
0%
|
|
| kuwait | 2 |
0%
|
|
| kuwet | 1 |
0%
|
|
| lailpur | 1 |
0%
|
|
| lalitpour | 1 |
0%
|
|
| lalitpur | 204 |
1.5%
|
|
| lamjung | 61 |
0.5%
|
|
| latipur | 1 |
0%
|
|
| lhapa | 1 |
0%
|
|
| london | 2 |
0%
|
|
| lslitpur | 1 |
0%
|
|
| lsmjung | 1 |
0%
|
|
| mahotari | 83 |
0.6%
|
|
| mahottari | 49 |
0.4%
|
|
| mahottrai | 4 |
0%
|
|
| makanpur | 32 |
0.2%
|
|
| makawanpur | 26 |
0.2%
|
|
| makwanpur | 108 |
0.8%
|
|
| malasiya | 5 |
0%
|
|
| malaysia | 7 |
0.1%
|
|
| maldibhsa | 1 |
0%
|
|
| maleshiya | 1 |
0%
|
|
| malesiya | 9 |
0.1%
|
|
| malesya | 1 |
0%
|
|
| manakpur | 1 |
0%
|
|
| manang | 1 |
0%
|
|
| mankanpur | 1 |
0%
|
|
| mawalparasi | 1 |
0%
|
|
| maygdi | 4 |
0%
|
|
| mhottari | 1 |
0%
|
|
| mohattari | 16 |
0.1%
|
|
| moraang | 1 |
0%
|
|
| moramg | 3 |
0%
|
|
| morang | 477 |
3.5%
|
|
| morang3 | 1 |
0%
|
|
| morng | 1 |
0%
|
|
| muagdi | 1 |
0%
|
|
| mugu | 12 |
0.1%
|
|
| mustang | 10 |
0.1%
|
|
| myadgi | 1 |
0%
|
|
| myagdi | 28 |
0.2%
|
|
| nawakparasi | 1 |
0%
|
|
| nawalarasi purba | 1 |
0%
|
|
| nawalparasai purba | 1 |
0%
|
|
| nawalparase purba | 1 |
0%
|
|
| nawalparasi | 97 |
0.7%
|
|
| nawalparasi [urba | 1 |
0%
|
|
| nawalparasi ea | 8 |
0.1%
|
|
| nawalparasi east | 2 |
0%
|
|
| nawalparasi pachim | 1 |
0%
|
|
| nawalparasi paschim | 21 |
0.2%
|
|
| nawalparasi paschum | 2 |
0%
|
|
| nawalparasi pashim | 1 |
0%
|
|
| nawalparasi purba | 39 |
0.3%
|
|
| nawalparasi purva | 26 |
0.2%
|
|
| nawalparasi wa | 1 |
0%
|
|
| nawalparasi west | 12 |
0.1%
|
|
| nawalparasipurba | 1 |
0%
|
|
| nawalparaso purba | 1 |
0%
|
|
| nawalparsi | 3 |
0%
|
|
| nawalparsi purba | 1 |
0%
|
|
| nawalparsi purva | 1 |
0%
|
|
| nawalpur | 73 |
0.5%
|
|
| nawaparasi purba | 1 |
0%
|
|
| norang | 2 |
0%
|
|
| nuwakot | 51 |
0.4%
|
|
| nwalparasi | 1 |
0%
|
|
| okhaldhunga | 14 |
0.1%
|
|
| okhaldunga | 1 |
0%
|
|
| oman | 1 |
0%
|
|
| pachtahar | 1 |
0%
|
|
| pachtar | 17 |
0.1%
|
|
| pachthar | 31 |
0.2%
|
|
| palpa | 73 |
0.5%
|
|
| panchtahar | 1 |
0%
|
|
| panchtar | 1 |
0%
|
|
| panchthar | 46 |
0.3%
|
|
| parbat | 91 |
0.7%
|
|
| parsa | 89 |
0.7%
|
|
| parsha | 17 |
0.1%
|
|
| paschim nawalparasi | 1 |
0%
|
|
| paschim rukum | 1 |
0%
|
|
| paschim rukumm | 1 |
0%
|
|
| phyuthan | 4 |
0%
|
|
| pyuthan | 16 |
0.1%
|
|
| qatar | 5 |
0%
|
|
| quatar | 2 |
0%
|
|
| quater | 1 |
0%
|
|
| qutar | 6 |
0%
|
|
| qutqr | 1 |
0%
|
|
| racechap | 1 |
0%
|
|
| rahutahat | 1 |
0%
|
|
| ramechap | 4 |
0%
|
|
| ramechhap | 28 |
0.2%
|
|
| rasuwa | 1 |
0%
|
|
| rautahat | 158 |
1.2%
|
|
| rautaht | 1 |
0%
|
|
| rauthat | 3 |
0%
|
|
| rekum west | 1 |
0%
|
|
| rolpa | 38 |
0.3%
|
|
| rukaum purba | 1 |
0%
|
|
| rukum | 1 |
0%
|
|
| rukum paschim | 19 |
0.1%
|
|
| rukum purba | 6 |
0%
|
|
| rukum west | 25 |
0.2%
|
|
| rukun paschim | 1 |
0%
|
|
| rupandehi | 211 |
1.6%
|
|
| rupandhai | 2 |
0%
|
|
| rupandhei | 1 |
0%
|
|
| rupemdheai | 1 |
0%
|
|
| rupendehi | 16 |
0.1%
|
|
| rupendheai | 126 |
0.9%
|
|
| rupendhi | 1 |
0%
|
|
| rupndheai | 1 |
0%
|
|
| rypendheai | 1 |
0%
|
|
| saaudi | 1 |
0%
|
|
| saiprash | 1 |
0%
|
|
| salahi | 1 |
0%
|
|
| salyan | 75 |
0.6%
|
|
| sangja | 1 |
0%
|
|
| sangya | 1 |
0%
|
|
| sankasuwba | 1 |
0%
|
|
| sankhasabha | 3 |
0%
|
|
| sankhasawa | 10 |
0.1%
|
|
| sankhuwasabha | 6 |
0%
|
|
| sankhuwasbha | 13 |
0.1%
|
|
| sanksuwba | 2 |
0%
|
|
| sapatri | 3 |
0%
|
|
| sapattari | 19 |
0.1%
|
|
| sapattrai | 1 |
0%
|
|
| saptari | 163 |
1.2%
|
|
| saptrai | 2 |
0%
|
|
| sapttari | 2 |
0%
|
|
| sapttrai | 1 |
0%
|
|
| saralhi | 1 |
0%
|
|
| sarlahi | 169 |
1.3%
|
|
| saudhi | 2 |
0%
|
|
| saudi | 11 |
0.1%
|
|
| saudi arab | 2 |
0%
|
|
| sawalparasi | 1 |
0%
|
|
| shyanga | 1 |
0%
|
|
| shyangha | 1 |
0%
|
|
| sindhuli | 54 |
0.4%
|
|
| sindhupalchock | 1 |
0%
|
|
| sindhupalchok | 17 |
0.1%
|
|
| sindhupalchowk | 6 |
0%
|
|
| sindhupulchowk | 18 |
0.1%
|
|
| sinduli | 13 |
0.1%
|
|
| sindupalchock | 1 |
0%
|
|
| sindupalchok | 3 |
0%
|
|
| sindupalchowk | 15 |
0.1%
|
|
| siraha | 193 |
1.4%
|
|
| snsari | 1 |
0%
|
|
| solukhumbhu | 10 |
0.1%
|
|
| solukhumbu | 8 |
0.1%
|
|
| sralahi | 2 |
0%
|
|
| sudan | 1 |
0%
|
|
| sunari | 1 |
0%
|
|
| sunasri | 1 |
0%
|
|
| sundhuli | 1 |
0%
|
|
| sunnsari | 1 |
0%
|
|
| sunsari | 325 |
2.4%
|
|
| sunsri | 2 |
0%
|
|
| surjhet | 1 |
0%
|
|
| surkhet | 294 |
2.2%
|
|
| surkhrt | 3 |
0%
|
|
| susari | 1 |
0%
|
|
| syamgja | 1 |
0%
|
|
| syangja | 91 |
0.7%
|
|
| syanja | 28 |
0.2%
|
|
| tahahu | 1 |
0%
|
|
| tahanu | 5 |
0%
|
|
| tanahau | 1 |
0%
|
|
| tanahnu | 2 |
0%
|
|
| tanahnu2 | 1 |
0%
|
|
| tanahu | 99 |
0.7%
|
|
| tanahun | 52 |
0.4%
|
|
| taplejung | 48 |
0.4%
|
|
| taplrjung | 1 |
0%
|
|
| terathum | 2 |
0%
|
|
| terhathum | 4 |
0%
|
|
| terhrhum | 1 |
0%
|
|
| terhthum | 7 |
0.1%
|
|
| terthum | 5 |
0%
|
|
| tewrthum | 1 |
0%
|
|
| therathum | 1 |
0%
|
|
| uae | 2 |
0%
|
|
| udayapir | 1 |
0%
|
|
| udayapur | 38 |
0.3%
|
|
| udaypur | 31 |
0.2%
|
|
| udhyapur | 15 |
0.1%
|
|
| udyapur | 15 |
0.1%
|
|
| कतार | 2 |
0%
|
|
| कपिलवस्तु | 1 |
0%
|
|
| काठमाडौं | 2 |
0%
|
|
| कास्की | 25 |
0.2%
|
|
| गोरखा | 24 |
0.2%
|
|
| चितवन | 2 |
0%
|
|
| तनहु | 7 |
0.1%
|
|
| तनहुँ | 26 |
0.2%
|
|
| धनकुटा | 1 |
0%
|
|
| नवलपरासी पूर्व | 15 |
0.1%
|
|
| नवलपरासी पू्र्व | 1 |
0%
|
|
| पर्वत | 2 |
0%
|
|
| पाल्पा | 8 |
0.1%
|
|
| भारत | 5 |
0%
|
|
| मनाङ | 2 |
0%
|
|
| मलेसिया | 1 |
0%
|
|
| म्याग्दी | 1 |
0%
|
|
| रामेछाप | 1 |
0%
|
|
| रुपन्देही | 1 |
0%
|
|
| लमजुङ | 8 |
0.1%
|
|
| साउदी | 1 |
0%
|
|
| स्याङजा | 22 |
0.2%
|
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.