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:
1190
Invalid:
-
Minimum:
1
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
21
End:
23
Width:
3
Range:
1 - 99
Format:
Numeric
Questions and instructions
Literal question
Caste/ethnicity of HH head
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Chhetri | 60 |
5%
|
| 2 | Bhamhin - Hill | 14 |
1.2%
|
| 3 | Magar | 30 |
2.5%
|
| 4 | Tharu | 12 |
1%
|
| 5 | Tamang | 120 |
10.1%
|
| 6 | Newar | 41 |
3.4%
|
| 7 | Muslim | 210 |
17.6%
|
| 8 | Kami | 18 |
1.5%
|
| 9 | Yadav | 22 |
1.8%
|
| 10 | Rai | 0 |
0%
|
| 11 | Gurung | 0 |
0%
|
| 12 | Damai/dholi | 10 |
0.8%
|
| 13 | Limbu | 0 |
0%
|
| 14 | Thakuri | 3 |
0.3%
|
| 15 | Sarki | 19 |
1.6%
|
| 16 | Teli | 29 |
2.4%
|
| 17 | Chamar/harijan/ram | 73 |
6.1%
|
| 18 | Koiri | 36 |
3%
|
| 19 | Kurmi | 25 |
2.1%
|
| 20 | Sanyasi | 9 |
0.8%
|
| 21 | Dhanuk | 11 |
0.9%
|
| 22 | Musahar | 34 |
2.9%
|
| 23 | Dusadh/paswan/pasi | 88 |
7.4%
|
| 24 | Sherpa | 7 |
0.6%
|
| 25 | Sonar | 14 |
1.2%
|
| 26 | Kewat | 1 |
0.1%
|
| 27 | Bramhin - Terai | 10 |
0.8%
|
| 28 | Baniya | 11 |
0.9%
|
| 29 | Gharti/bhujel | 8 |
0.7%
|
| 30 | Mallah | 67 |
5.6%
|
| 31 | Kalwar | 15 |
1.3%
|
| 32 | Kumal | 4 |
0.3%
|
| 33 | Hajam/thakur | 9 |
0.8%
|
| 34 | Kanu | 24 |
2%
|
| 35 | Rajbansi | 0 |
0%
|
| 36 | Sunuwar | 5 |
0.4%
|
| 37 | Sudhi | 1 |
0.1%
|
| 38 | Lohar | 10 |
0.8%
|
| 39 | Tatma | 18 |
1.5%
|
| 40 | Khatwe | 2 |
0.2%
|
| 41 | Dhobi | 26 |
2.2%
|
| 42 | Majhi | 5 |
0.4%
|
| 43 | Niniya | 62 |
5.2%
|
| 44 | Kumhar | 0 |
0%
|
| 45 | Danuwar | 8 |
0.7%
|
| 46 | Chepang/praja | 1 |
0.1%
|
| 47 | Haluwai | 1 |
0.1%
|
| 48 | Rajput | 1 |
0.1%
|
| 49 | Kayastha | 0 |
0%
|
| 50 | Badhae | 0 |
0%
|
| 51 | Marwadi | 0 |
0%
|
| 52 | Santhal/satar | 0 |
0%
|
| 53 | Jhangad | 0 |
0%
|
| 54 | Bantar | 0 |
0%
|
| 55 | Barae | 2 |
0.2%
|
| 56 | Kahar | 2 |
0.2%
|
| 57 | Gangai | 0 |
0%
|
| 58 | Lodha | 0 |
0%
|
| 59 | Rajbhar | 0 |
0%
|
| 60 | Thami | 0 |
0%
|
| 61 | Dhimal | 0 |
0%
|
| 62 | Bhote | 0 |
0%
|
| 63 | Bing/bida | 8 |
0.7%
|
| 64 | Bhediyar/gaderi | 1 |
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 | 0 |
0%
|
| 72 | Mali | 1 |
0.1%
|
| 73 | Bangali | 0 |
0%
|
| 74 | Chhantyal | 0 |
0%
|
| 75 | Dom | 0 |
0%
|
| 76 | Kamar | 0 |
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 | 0 |
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 | 0 |
0%
|
| 93 | Koche | 0 |
0%
|
| 94 | Dhniya | 0 |
0%
|
| 95 | Walung | 0 |
0%
|
| 96 | Jaine | 0 |
0%
|
| 97 | Munda | 0 |
0%
|
| 98 | Raute | 1 |
0.1%
|
| 99 | Yholmo | 1 |
0.1%
|
| 100 | Pattharkatta/kuswadiya | 0 |
0%
|
| 101 | Kusunda | 0 |
0%
|
| 102 | Other caste | 0 |
0%
|
| 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.