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    Home / Central Data Catalog / HFPS / BGD_2020_CBPS-HFT_V01_M / variable [F2]
hfps

Cox’s Bazar Panel Survey, High-Frequency Tracking Survey 2020-2021
Round 1, 2 and 3

Bangladesh, 2020 - 2021
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Reference ID
BGD_2020_CBPS-HFT_v01_M
DOI
https://doi.org/10.48529/2zfw-ht33
Producer(s)
The World Bank
Collection(s)
High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 06, 2022
Last modified
Jun 06, 2022
Page views
64023
Downloads
2675
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • cbps_tracking_r1_basic
    needs.dta
  • cbps_tracking_r1_labor.dta
  • cbps_tracking_r2_basic
    needs.dta
  • cbps_tracking_r2_education.dta
  • cbps_tracking_r2_labor.dta
  • cbps_tracking_r3_basic
    needs.dta
  • cbps_tracking_r3_education.dta
  • cbps_tracking_r3_labor.dta

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.
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