The Role of Information and Cash Transfers on Early Childhood Development 2013-2014, Evidence from Nepal
Nepal, 2013 - 2014
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Reference ID
NPL_2013-2014_ICTECD_v01_M
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Gayatri Acharya, Michael Levere, Prashant Bharadwaj
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Created on
Jul 23, 2020
Last modified
Jul 23, 2020
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- Data files
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
- SEC00.dta
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
- SEC00.dta
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
208. Caste/ethnicity of HH head (q02_208)
Data file: SEC02.dta
Overview
Valid:
4246
Invalid:
-
Minimum:
1
Maximum:
102
Type:
Discrete
Decimal:
0
Start:
21
End:
23
Width:
3
Range:
1 - 102
Format:
Numeric
Questions and instructions
Literal question
Caste/ethnicity of HH head
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Chhetri | 205 |
4.8%
|
| 2 | Bhamhin - Hill | 91 |
2.1%
|
| 3 | Magar | 173 |
4.1%
|
| 4 | Tharu | 149 |
3.5%
|
| 5 | Tamang | 349 |
8.2%
|
| 6 | Newar | 108 |
2.5%
|
| 7 | Muslim | 400 |
9.4%
|
| 8 | Kami | 127 |
3%
|
| 9 | Yadav | 271 |
6.4%
|
| 10 | Rai | 6 |
0.1%
|
| 11 | Gurung | 3 |
0.1%
|
| 12 | Damai/dholi | 77 |
1.8%
|
| 13 | Limbu | 0 |
0%
|
| 14 | Thakuri | 2 |
0%
|
| 15 | Sarki | 137 |
3.2%
|
| 16 | Teli | 89 |
2.1%
|
| 17 | Chamar/harijan/ram | 301 |
7.1%
|
| 18 | Koiri | 63 |
1.5%
|
| 19 | Kurmi | 90 |
2.1%
|
| 20 | Sanyasi | 13 |
0.3%
|
| 21 | Dhanuk | 18 |
0.4%
|
| 22 | Musahar | 142 |
3.3%
|
| 23 | Dusadh/paswan/pasi | 261 |
6.1%
|
| 24 | Sherpa | 2 |
0%
|
| 25 | Sonar | 47 |
1.1%
|
| 26 | Kewat | 0 |
0%
|
| 27 | Bramhin - Terai | 24 |
0.6%
|
| 28 | Baniya | 34 |
0.8%
|
| 29 | Gharti/bhujel | 31 |
0.7%
|
| 30 | Mallah | 127 |
3%
|
| 31 | Kalwar | 33 |
0.8%
|
| 32 | Kumal | 2 |
0%
|
| 33 | Hajam/thakur | 53 |
1.2%
|
| 34 | Kanu | 121 |
2.8%
|
| 35 | Rajbansi | 0 |
0%
|
| 36 | Sunuwar | 42 |
1%
|
| 37 | Sudhi | 11 |
0.3%
|
| 38 | Lohar | 58 |
1.4%
|
| 39 | Tatma | 98 |
2.3%
|
| 40 | Khatwe | 4 |
0.1%
|
| 41 | Dhobi | 71 |
1.7%
|
| 42 | Majhi | 75 |
1.8%
|
| 43 | Niniya | 58 |
1.4%
|
| 44 | Kumhar | 41 |
1%
|
| 45 | Danuwar | 111 |
2.6%
|
| 46 | Chepang/praja | 0 |
0%
|
| 47 | Haluwai | 3 |
0.1%
|
| 48 | Rajput | 5 |
0.1%
|
| 49 | Kayastha | 2 |
0%
|
| 50 | Badhae | 1 |
0%
|
| 51 | Marwadi | 0 |
0%
|
| 52 | Santhal/satar | 0 |
0%
|
| 53 | Jhangad | 0 |
0%
|
| 54 | Bantar | 0 |
0%
|
| 55 | Barae | 14 |
0.3%
|
| 56 | Kahar | 1 |
0%
|
| 57 | Gangai | 0 |
0%
|
| 58 | Lodha | 0 |
0%
|
| 59 | Rajbhar | 0 |
0%
|
| 60 | Thami | 0 |
0%
|
| 61 | Dhimal | 0 |
0%
|
| 62 | Bhote | 2 |
0%
|
| 63 | Bing/bida | 70 |
1.6%
|
| 64 | Bhediyar/gaderi | 4 |
0.1%
|
| 65 | Nurang | 0 |
0%
|
| 66 | Yakha | 0 |
0%
|
| 67 | Darai | 0 |
0%
|
| 68 | Tajpuriya | 0 |
0%
|
| 69 | Thakali | 0 |
0%
|
| 70 | Chidimar | 0 |
0%
|
| 71 | Pahari | 2 |
0%
|
| 72 | Mali | 5 |
0.1%
|
| 73 | Bangali | 0 |
0%
|
| 74 | Chhantyal | 0 |
0%
|
| 75 | Dom | 4 |
0.1%
|
| 76 | Kamar | 1 |
0%
|
| 77 | Bote | 0 |
0%
|
| 78 | Baramu | 0 |
0%
|
| 79 | Gaine | 0 |
0%
|
| 80 | Jirel | 0 |
0%
|
| 81 | Adibasi/janajati | 0 |
0%
|
| 82 | Dura | 0 |
0%
|
| 83 | Churoute | 0 |
0%
|
| 84 | Badi | 2 |
0%
|
| 85 | Meche | 0 |
0%
|
| 86 | Lepcha | 0 |
0%
|
| 87 | Halkhor | 0 |
0%
|
| 88 | Panjabi/sikh | 0 |
0%
|
| 89 | Kisan | 0 |
0%
|
| 90 | Raji | 0 |
0%
|
| 91 | Byasi | 0 |
0%
|
| 92 | Hayu | 9 |
0.2%
|
| 93 | Koche | 0 |
0%
|
| 94 | Dhniya | 0 |
0%
|
| 95 | Walung | 0 |
0%
|
| 96 | Jaine | 0 |
0%
|
| 97 | Munda | 0 |
0%
|
| 98 | Raute | 0 |
0%
|
| 99 | Yholmo | 0 |
0%
|
| 100 | Pattharkatta/kuswadiya | 0 |
0%
|
| 101 | Kusunda | 0 |
0%
|
| 102 | Other caste | 3 |
0.1%
|
| 103 | Unidentified caste | 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.