Reducing Irregular Migration Experiment and Replication Files
Gambia, 2019 - 2021
Get Microdata
Reference ID
GMB_2019-2020_RIME_v01_M
Producer(s)
David McKenzie, Tijan Bah, Catia Batista, Flore Gubert
Metadata
Created on
Aug 09, 2023
Last modified
Aug 09, 2023
Page views
58675
Downloads
1029
- Data files
- baselinedata_ano.dta
- comments_ano.dta
- GMB_2MC_BASELINE_SURVEY_OFFICIAL_ano.dta
- GMB_2MC_ELDER_ENDLINE_SURVEY_OFFICIAL-youth_elder_ano.dta
- GMB_2MC_ELDER_ENDLINE_SURVEY_OFFICIAL-youth_random_ano.dta
- GMB_2MC_HOUSEHOLD_ENDLINE_SURVEY_OFFICIAL_ano.dta
- GMB_2MC_HOUSEHOLD_ENDLINE_SURVEY_OFFICIAL-rp_move_ano.dta
- GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL_ano.dta
- GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL_POST_ano.dta
- GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL-move_rr_ano.dta
- Post_face_to_face_Phone_Survey_ano.dta
- Post_face_to_face_Phone_Survey_num_move_ano.dta
- Post_Face-to-Face_Second_Round_num_moves_ano.dta
- Post_Face-to-Face_Second_Round_Phone_Survey_ano.dta
-
Send SMS Europe
Wages_ano.dta - villagelevelcontrols_ano.dta
- WhatsApp.dta
- completedata.dta
- FrontexandExpectationData.dta
- Table2_pvals.dta
- Table3_pvals.dta
- Table4a_pvals.dta
- Table4b_pvals.dta
- Table6_pvals.dta
A.6. How much did you earn from all paid work in the past month from all sources (wage_paidwrk)
Data file: Post_face_to_face_Phone_Survey_ano.dta
Overview
Valid:
161
Invalid:
704
Minimum:
500
Maximum:
75000
Type:
Discrete
Decimal:
0
Start:
73
End:
77
Width:
5
Range:
500 - 75000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 500 | 6 |
3.7%
|
|
| 750 | 1 |
0.6%
|
|
| 1000 | 5 |
3.1%
|
|
| 1200 | 1 |
0.6%
|
|
| 1250 | 1 |
0.6%
|
|
| 1500 | 8 |
5%
|
|
| 1700 | 1 |
0.6%
|
|
| 2000 | 11 |
6.8%
|
|
| 2500 | 14 |
8.7%
|
|
| 3000 | 28 |
17.4%
|
|
| 3500 | 2 |
1.2%
|
|
| 3700 | 2 |
1.2%
|
|
| 3800 | 1 |
0.6%
|
|
| 4000 | 13 |
8.1%
|
|
| 4500 | 1 |
0.6%
|
|
| 4600 | 1 |
0.6%
|
|
| 4700 | 1 |
0.6%
|
|
| 5000 | 13 |
8.1%
|
|
| 5500 | 2 |
1.2%
|
|
| 6000 | 7 |
4.3%
|
|
| 6500 | 2 |
1.2%
|
|
| 7000 | 2 |
1.2%
|
|
| 7750 | 1 |
0.6%
|
|
| 8000 | 7 |
4.3%
|
|
| 8250 | 1 |
0.6%
|
|
| 8500 | 1 |
0.6%
|
|
| 9000 | 5 |
3.1%
|
|
| 9300 | 1 |
0.6%
|
|
| 9999 | 3 |
1.9%
|
|
| 10000 | 5 |
3.1%
|
|
| 10800 | 1 |
0.6%
|
|
| 11000 | 2 |
1.2%
|
|
| 12000 | 1 |
0.6%
|
|
| 13000 | 1 |
0.6%
|
|
| 15000 | 1 |
0.6%
|
|
| 16000 | 1 |
0.6%
|
|
| 16500 | 1 |
0.6%
|
|
| 17000 | 1 |
0.6%
|
|
| 20000 | 2 |
1.2%
|
|
| 40000 | 1 |
0.6%
|
|
| 50000 | 1 |
0.6%
|
|
| 75000 | 1 |
0.6%
|
|
| Sysmiss | 704 |
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.