KNOMAD-ILO Migration Costs Surveys 2016
Benin, Burkina Faso, Cabo Verde, Gambia, The, Ghana, Guinea, Guinea-Bissau, India, Kyrgyz Republic, Liberia, Mali, Mauritania, Nepal, Niger, Nige..., 2016 - 2017
Get Microdata
Reference ID
WLD_2016_KNOMAD-ILO-MCS_v01_M
Producer(s)
Global Knowledge Partnership on Migration and Development (KNOMAD) & International Labour Organization (ILO)
Collection(s)
Metadata
Created on
Dec 11, 2017
Last modified
May 24, 2021
Page views
109507
Downloads
18096
- Data files
- 2016_knomad_ilo_mcs
Where is your home district? (Live_Before)
Data file: 2016_knomad_ilo_mcs
Overview
Valid:
352
Invalid:
0
Type:
Discrete
Start:
4670
End:
4683
Width:
14
Range:
-
Format:
character
Questions and instructions
Literal question
Where is your home district?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| "Gulmi " | 1 |
0.3%
|
|
| "Kathmandu " | 2 |
0.6%
|
|
| "Parsa " | 1 |
0.3%
|
|
| "Rupandehi " | 1 |
0.3%
|
|
| "gorkha " | 1 |
0.3%
|
|
| "saptari " | 1 |
0.3%
|
|
| "sarlahi " | 2 |
0.6%
|
|
| Arghakhachhi | 1 |
0.3%
|
|
| Arghakhachi | 2 |
0.6%
|
|
| Baitadi | 3 |
0.9%
|
|
| Banke | 6 |
1.7%
|
|
| Bara | 4 |
1.1%
|
|
| Bardiya | 1 |
0.3%
|
|
| Bhairhawa | 1 |
0.3%
|
|
| Bhojpur | 1 |
0.3%
|
|
| Chitwan | 2 |
0.6%
|
|
| Dang | 3 |
0.9%
|
|
| Dhankuta | 1 |
0.3%
|
|
| Dhankutta | 3 |
0.9%
|
|
| Dhanusa | 3 |
0.9%
|
|
| Dhanusha | 3 |
0.9%
|
|
| Dolakha | 2 |
0.6%
|
|
| Illam | 2 |
0.6%
|
|
| Jhapa | 6 |
1.7%
|
|
| Kanchanpur | 5 |
1.4%
|
|
| Kapilbastu | 3 |
0.9%
|
|
| Kapilbistu | 1 |
0.3%
|
|
| Kaski | 1 |
0.3%
|
|
| Kathmandu | 1 |
0.3%
|
|
| Kavre | 2 |
0.6%
|
|
| Kavrepalanchok | 1 |
0.3%
|
|
| Khotang | 4 |
1.1%
|
|
| Mahotari | 2 |
0.6%
|
|
| Mahottari | 1 |
0.3%
|
|
| Makawanpur | 3 |
0.9%
|
|
| Makwanpur | 1 |
0.3%
|
|
| Mhottari | 1 |
0.3%
|
|
| Morang | 5 |
1.4%
|
|
| Morning | 1 |
0.3%
|
|
| Mugu | 1 |
0.3%
|
|
| Myagdi | 1 |
0.3%
|
|
| Nawakot | 1 |
0.3%
|
|
| Nawalparasi | 2 |
0.6%
|
|
| Nuwakot | 3 |
0.9%
|
|
| Okhaldhunga | 1 |
0.3%
|
|
| Pachathar | 1 |
0.3%
|
|
| Pachthar | 1 |
0.3%
|
|
| Palpa | 1 |
0.3%
|
|
| Parbat | 1 |
0.3%
|
|
| Psrsa | 1 |
0.3%
|
|
| Ramechap | 1 |
0.3%
|
|
| Rautahat | 4 |
1.1%
|
|
| Rauthat | 1 |
0.3%
|
|
| Rolpa | 1 |
0.3%
|
|
| Rukum | 1 |
0.3%
|
|
| Rupandehi | 5 |
1.4%
|
|
| Rupandhi | 1 |
0.3%
|
|
| Salyan | 3 |
0.9%
|
|
| Saptari | 5 |
1.4%
|
|
| Sarlahi | 9 |
2.6%
|
|
| Shiraha | 1 |
0.3%
|
|
| Shitaha | 1 |
0.3%
|
|
| Sindhuli | 3 |
0.9%
|
|
| Siraha | 3 |
0.9%
|
|
| Sunsari | 12 |
3.4%
|
|
| Surkhet | 1 |
0.3%
|
|
| Tanahu | 2 |
0.6%
|
|
| Tanahun | 1 |
0.3%
|
|
| Taplejung | 2 |
0.6%
|
|
| Udayapur | 5 |
1.4%
|
|
| Udaypur | 1 |
0.3%
|
|
| banke | 1 |
0.3%
|
|
| bara | 7 |
2%
|
|
| bardia | 2 |
0.6%
|
|
| bhojpur | 3 |
0.9%
|
|
| butwal | 1 |
0.3%
|
|
| chitwan | 4 |
1.1%
|
|
| dang | 11 |
3.1%
|
|
| dhading | 3 |
0.9%
|
|
| dhanusa | 4 |
1.1%
|
|
| dolakha | 1 |
0.3%
|
|
| dolkha | 2 |
0.6%
|
|
| gorkha | 1 |
0.3%
|
|
| gulmi | 3 |
0.9%
|
|
| ilam | 4 |
1.1%
|
|
| itahari | 2 |
0.6%
|
|
| janakpur | 1 |
0.3%
|
|
| jhapa | 4 |
1.1%
|
|
| kapilbastu | 4 |
1.1%
|
|
| kaski | 1 |
0.3%
|
|
| kavrepalanchok | 1 |
0.3%
|
|
| khotang | 5 |
1.4%
|
|
| lalitpur | 1 |
0.3%
|
|
| lumbini | 1 |
0.3%
|
|
| mahotari | 6 |
1.7%
|
|
| mahottari | 8 |
2.3%
|
|
| makwanpur | 1 |
0.3%
|
|
| morang | 6 |
1.7%
|
|
| nawalparasi | 1 |
0.3%
|
|
| palpa | 2 |
0.6%
|
|
| panch thar | 1 |
0.3%
|
|
| panchthar | 3 |
0.9%
|
|
| parsa | 17 |
4.8%
|
|
| pokhara | 2 |
0.6%
|
|
| pyuthan | 1 |
0.3%
|
|
| ramechhap | 1 |
0.3%
|
|
| rautahat | 4 |
1.1%
|
|
| rolpa | 1 |
0.3%
|
|
| rupandehi | 5 |
1.4%
|
|
| salyan | 8 |
2.3%
|
|
| saptari | 14 |
4%
|
|
| sarlahi | 16 |
4.5%
|
|
| shindupalchok | 1 |
0.3%
|
|
| sindhuli | 4 |
1.1%
|
|
| siraha | 3 |
0.9%
|
|
| solukhumbu | 1 |
0.3%
|
|
| sunsari | 4 |
1.1%
|
|
| surkhet | 3 |
0.9%
|
|
| syangja | 2 |
0.6%
|
|
| taplejung | 6 |
1.7%
|
|
| udaypur | 2 |
0.6%
|
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.