Nepal Multiple Indicator Cluster Survey 2024-25, Fourth round
Nepal, 2024 - 2025
National Statistics Office (NSO)
Created on June 26, 2026
Last modified June 26, 2026
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Mother tongue of household head (HC1B)
Data file: fs
Overview
Valid:
12802
Invalid:
158
Type:
Discrete
Decimal:
0
Width:
3
Range:
1 - 996
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | NEPALI | 6376 |
49.8%
|
| 2 | MAITHILI | 1247 |
9.7%
|
| 3 | BHOJPURI | 551 |
4.3%
|
| 4 | THARU | 674 |
5.3%
|
| 5 | TAMANG | 629 |
4.9%
|
| 6 | BAJJIKA | 280 |
2.2%
|
| 7 | AVADHI | 222 |
1.7%
|
| 8 | NEPALBHASHA(NEWARI) | 233 |
1.8%
|
| 9 | MAGAR DHUT | 394 |
3.1%
|
| 10 | DOTELI | 232 |
1.8%
|
| 11 | URDU | 22 |
0.2%
|
| 12 | YAKTHUNG/LIMBU | 147 |
1.1%
|
| 13 | GURUNG | 209 |
1.6%
|
| 14 | MAGAHI | 0 |
0%
|
| 15 | BAITADELI | 151 |
1.2%
|
| 16 | RAI | 185 |
1.4%
|
| 17 | ACHHAMI | 192 |
1.5%
|
| 18 | BANTAWA | 21 |
0.2%
|
| 19 | RAJBANSHI | 68 |
0.5%
|
| 20 | SHERPA | 28 |
0.2%
|
| 21 | KHASH | 7 |
0.1%
|
| 22 | BAJHANGI | 138 |
1.1%
|
| 23 | HINDI | 66 |
0.5%
|
| 24 | MAGAR KHAM | 62 |
0.5%
|
| 25 | CHAMLING | 12 |
0.1%
|
| 26 | RANATHARU | 68 |
0.5%
|
| 27 | CHEPANG | 28 |
0.2%
|
| 28 | BAJURELI | 67 |
0.5%
|
| 29 | SANTHALI | 9 |
0.1%
|
| 30 | DANUWAR | 21 |
0.2%
|
| 31 | DARCHULELI | 94 |
0.7%
|
| 32 | URANW/URAU | 14 |
0.1%
|
| 33 | KULUNG | 3 |
0%
|
| 34 | ANGIKA | 0 |
0%
|
| 35 | MAJHI | 17 |
0.1%
|
| 36 | SUNUWAR | 7 |
0.1%
|
| 37 | THAMI | 30 |
0.2%
|
| 38 | GANAGAI | 0 |
0%
|
| 39 | THULUNG | 2 |
0%
|
| 40 | BANGLA | 1 |
0%
|
| 41 | GHALE | 4 |
0%
|
| 42 | SAMPANG | 5 |
0%
|
| 43 | MARWADI | 3 |
0%
|
| 44 | DADELDHURI | 73 |
0.6%
|
| 45 | DHIMAL | 11 |
0.1%
|
| 46 | TAJPURIYA | 8 |
0.1%
|
| 47 | KUMAL | 0 |
0%
|
| 48 | KHALING | 1 |
0%
|
| 49 | MUSALMAN | 5 |
0%
|
| 50 | WAMBULE | 0 |
0%
|
| 51 | BAHING/BAYUNG | 0 |
0%
|
| 52 | YAKKHA | 2 |
0%
|
| 53 | SANSKRIT | 1 |
0%
|
| 54 | BHUJEL | 0 |
0%
|
| 55 | BHOTE | 6 |
0%
|
| 56 | DARAI | 3 |
0%
|
| 57 | YAMPHU/YAMPHE | 0 |
0%
|
| 58 | NACHHIRING | 0 |
0%
|
| 59 | HYOLMO/YHOLMO | 11 |
0.1%
|
| 60 | DUMI | 0 |
0%
|
| 61 | JUMLI | 4 |
0%
|
| 62 | BOTE | 4 |
0%
|
| 63 | MEWAHANG | 0 |
0%
|
| 64 | PUMA | 0 |
0%
|
| 65 | PAHARI | 0 |
0%
|
| 66 | ATHPAHARIYA | 0 |
0%
|
| 67 | DUNGMALI | 0 |
0%
|
| 68 | JIREL | 0 |
0%
|
| 69 | TIBETAN | 0 |
0%
|
| 70 | DAILEKHI | 10 |
0.1%
|
| 71 | CHUM/NUBRI | 0 |
0%
|
| 72 | CHHANTYAL | 1 |
0%
|
| 73 | RAJI | 6 |
0%
|
| 74 | THAKALI | 0 |
0%
|
| 75 | MECHE | 3 |
0%
|
| 76 | KOYEE | 0 |
0%
|
| 77 | LOHORUNG | 3 |
0%
|
| 78 | KEWARAT | 1 |
0%
|
| 79 | DOLPALI | 0 |
0%
|
| 80 | DONE | 0 |
0%
|
| 81 | MUGALI | 20 |
0.2%
|
| 82 | JERO/JERUNG | 0 |
0%
|
| 83 | KARMARONG | 1 |
0%
|
| 84 | CHHINTANG | 0 |
0%
|
| 85 | LHOPA | 0 |
0%
|
| 86 | LAPCHA | 0 |
0%
|
| 87 | MUNDA/MUDIYARI | 9 |
0.1%
|
| 88 | MANANGE | 0 |
0%
|
| 89 | CHHILING | 0 |
0%
|
| 90 | DURA | 0 |
0%
|
| 91 | TILUNG | 0 |
0%
|
| 92 | SIGN LANGUAGE | 0 |
0%
|
| 93 | BYANSI | 0 |
0%
|
| 94 | BALKURA/BARAM | 0 |
0%
|
| 95 | BARAGUNWA | 0 |
0%
|
| 96 | SADRI | 0 |
0%
|
| 97 | ENGLISH | 0 |
0%
|
| 98 | MAGAR KAIKE | 0 |
0%
|
| 99 | SONAHA | 0 |
0%
|
| 100 | HAYU/VAYU | 6 |
0%
|
| 101 | KISAN | 0 |
0%
|
| 102 | PUNJABI | 0 |
0%
|
| 103 | DHULELI | 0 |
0%
|
| 104 | KHAMCHI(RAUTE) | 0 |
0%
|
| 105 | LUNGKHIM | 0 |
0%
|
| 106 | LOWA | 0 |
0%
|
| 107 | KAGATE | 0 |
0%
|
| 108 | WALING/WALUNG | 0 |
0%
|
| 109 | NAR-PHU | 0 |
0%
|
| 110 | LHOMI | 0 |
0%
|
| 111 | TICHHURONG POIKE | 0 |
0%
|
| 112 | KURMALI | 0 |
0%
|
| 113 | KOCHE | 0 |
0%
|
| 114 | SINDHI | 0 |
0%
|
| 115 | PHANGDUWALI | 0 |
0%
|
| 116 | BELHARE | 0 |
0%
|
| 117 | SUREL | 0 |
0%
|
| 118 | MALPANDE | 0 |
0%
|
| 119 | KHARIYA | 0 |
0%
|
| 120 | SADHANI | 0 |
0%
|
| 121 | HARIYANWI | 0 |
0%
|
| 122 | SAM | 0 |
0%
|
| 123 | BANKARIYA | 0 |
0%
|
| 124 | KUSUNDA | 0 |
0%
|
| 996 | OTHERS | 94 |
0.7%
|
| Sysmiss | 158 |
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.