Cox’s Bazar Panel Survey, High-Frequency Tracking Survey 2020-2021
Round 1, 2 and 3
Bangladesh, 2020 - 2021
Get Microdata
Reference ID
BGD_2020_CBPS-HFT_v01_M
Producer(s)
The World Bank
Collection(s)
Metadata
Created on
Jun 06, 2022
Last modified
Jun 06, 2022
Page views
41421
Downloads
1429
Job code (l05_a_bihs)
Data file: cbps_tracking_r1_labor.dta
Overview
Valid:
1262
Invalid:
1606
Minimum:
1
Maximum:
72
Type:
Discrete
Decimal:
0
Start:
338
End:
340
Width:
3
Range:
1 - 72
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | Don't Know | 0 |
0%
|
| -97 | Refused | 0 |
0%
|
| 1 | Agricultural day laborer | 143 |
11.3%
|
| 2 | Earth work (govt. program) | 0 |
0%
|
| 3 | Earth work (other) | 21 |
1.7%
|
| 4 | Sweeper/Janitor | 23 |
1.8%
|
| 5 | Garbage/waste collector | 0 |
0%
|
| 6 | Tea plantation worker | 0 |
0%
|
| 7 | Construction worker | 87 |
6.9%
|
| 8 | Factory worker | 5 |
0.4%
|
| 9 | Driver/conductor/helper | 42 |
3.3%
|
| 10 | Apprentice | 0 |
0%
|
| 11 | Other non-agricultural day laborer | 129 |
10.2%
|
| 12 | Government employee | 7 |
0.6%
|
| 13 | Private sector employee | 22 |
1.7%
|
| 14 | NGO worker | 32 |
2.5%
|
| 15 | Domestic help/worker/maid | 37 |
2.9%
|
| 16 | Teacher (Govt. Primary School) | 9 |
0.7%
|
| 17 | Teacher (Private Primary School) | 6 |
0.5%
|
| 18 | Teacher (Govt. High School) | 0 |
0%
|
| 19 | Teacher (Private High School) | 1 |
0.1%
|
| 20 | Teacher (College/University) | 0 |
0%
|
| 21 | Other wage employees | 61 |
4.8%
|
| 22 | Rickshaw/van driver | 57 |
4.5%
|
| 23 | Motor vehicle driver | 1 |
0.1%
|
| 24 | Tailor/Seamstress | 49 |
3.9%
|
| 25 | Blacksmith | 0 |
0%
|
| 26 | Potter | 0 |
0%
|
| 27 | Cobbler/shoemaker | 1 |
0.1%
|
| 28 | Barber | 7 |
0.6%
|
| 29 | Dhopa (washerman) | 0 |
0%
|
| 30 | Porter | 4 |
0.3%
|
| 31 | Goldsmith/silversmith | 0 |
0%
|
| 32 | Repairman | 6 |
0.5%
|
| 33 | Mechanic | 7 |
0.6%
|
| 34 | Plumber | 7 |
0.6%
|
| 35 | Electrician | 5 |
0.4%
|
| 36 | Carpenter | 18 |
1.4%
|
| 37 | Mason | 2 |
0.2%
|
| 38 | Doctor | 1 |
0.1%
|
| 39 | Village doctor | 2 |
0.2%
|
| 40 | Midwife | 0 |
0%
|
| 41 | Herbal doctor | 3 |
0.2%
|
| 42 | Engineer | 0 |
0%
|
| 43 | Lawyer | 2 |
0.2%
|
| 44 | Religious leader | 22 |
1.7%
|
| 45 | Leasing master | 1 |
0.1%
|
| 46 | Private/home tutor | 6 |
0.5%
|
| 47 | Beggar | 0 |
0%
|
| 50 | Small businessman (tongs) | 113 |
9%
|
| 51 | Medium businessman (small departmental store) | 49 |
3.9%
|
| 52 | Large businessman (large retailer or wholesaler) | 20 |
1.6%
|
| 53 | Fish trader | 0 |
0%
|
| 54 | Contractor/undertaker | 8 |
0.6%
|
| 55 | Food Processing | 0 |
0%
|
| 56 | Handicrafts | 1 |
0.1%
|
| 57 | Handlooms | 1 |
0.1%
|
| 58 | Milk seller | 3 |
0.2%
|
| 59 | Cattle medicine seller | 0 |
0%
|
| 60 | Cattle food seller | 0 |
0%
|
| 61 | Cattle food manufacturer | 0 |
0%
|
| 62 | Livestock breeding | 0 |
0%
|
| 63 | Vet | 0 |
0%
|
| 64 | Farmer (on own land) | 49 |
3.9%
|
| 65 | Farmer (on rented land) | 21 |
1.7%
|
| 66 | Farmer (within the homestead) | 5 |
0.4%
|
| 67 | Fisherman | 38 |
3%
|
| 68 | Fisheries | 10 |
0.8%
|
| 69 | Hens/duck rearing | 26 |
2.1%
|
| 70 | Cattle/goat/sheep rearing | 13 |
1%
|
| 71 | Milk farm | 0 |
0%
|
| 72 | Other self-run agricultural activities | 79 |
6.3%
|
| Sysmiss | 1606 |
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.