World Bank Enterprise Survey 2013-2022
Bangladesh, 2013 - 2022
Get Microdata
Reference ID
BGD_2013-2022_WBES_v01_M
Producer(s)
World Bank Group (WBG)
Metadata
Created on
Jan 13, 2026
Last modified
Jan 13, 2026
- Data files
-
Bangladesh
_2013_2022_
Total Annual Expenditure For Purchases of Equipment In Last FY (n5a)
Data file: Bangladesh _2013_2022_
Overview
Valid:
576
Minimum:
-9
Maximum:
800000000
Type:
Discrete
Width:
24
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 34 |
100%
|
| 20 | 0 | ||
| 2000 | 0 | ||
| 4500 | 0 | ||
| 5000 | 0 | ||
| 7000 | 0 | ||
| 10000 | 0 | ||
| 12000 | 0 | ||
| 15000 | 0 | ||
| 16000 | 0 | ||
| 18000 | 0 | ||
| 20000 | 0 | ||
| 22000 | 0 | ||
| 25000 | 0 | ||
| 26000 | 0 | ||
| 30000 | 0 | ||
| 35000 | 0 | ||
| 36000 | 0 | ||
| 40000 | 0 | ||
| 45000 | 0 | ||
| 48000 | 0 | ||
| 50000 | 0 | ||
| 52000 | 0 | ||
| 60000 | 0 | ||
| 65000 | 0 | ||
| 70000 | 0 | ||
| 75000 | 0 | ||
| 80000 | 0 | ||
| 90000 | 0 | ||
| 95000 | 0 | ||
| 100000 | 0 | ||
| 116000 | 0 | ||
| 120000 | 0 | ||
| 140000 | 0 | ||
| 150000 | 0 | ||
| 160000 | 0 | ||
| 175000 | 0 | ||
| 180000 | 0 | ||
| 200000 | 0 | ||
| 220000 | 0 | ||
| 250000 | 0 | ||
| 270000 | 0 | ||
| 275000 | 0 | ||
| 300000 | 0 | ||
| 350000 | 0 | ||
| 360000 | 0 | ||
| 400000 | 0 | ||
| 450000 | 0 | ||
| 480000 | 0 | ||
| 500000 | 0 | ||
| 570000 | 0 | ||
| 600000 | 0 | ||
| 650000 | 0 | ||
| 700000 | 0 | ||
| 725000 | 0 | ||
| 800000 | 0 | ||
| 850000 | 0 | ||
| 900000 | 0 | ||
| 1000000 | 0 | ||
| 1100000 | 0 | ||
| 1200000 | 0 | ||
| 1300000 | 0 | ||
| 1400000 | 0 | ||
| 1500000 | 0 | ||
| 1600000 | 0 | ||
| 1700000 | 0 | ||
| 1800000 | 0 | ||
| 2000000 | 0 | ||
| 2100000 | 0 | ||
| 2200000 | 0 | ||
| 2400000 | 0 | ||
| 2500000 | 0 | ||
| 3000000 | 0 | ||
| 3360000 | 0 | ||
| 3500000 | 0 | ||
| 3600000 | 0 | ||
| 3668000 | 0 | ||
| 4000000 | 0 | ||
| 4500000 | 0 | ||
| 4700000 | 0 | ||
| 4984000 | 0 | ||
| 5000000 | 0 | ||
| 5200000 | 0 | ||
| 5400000 | 0 | ||
| 6000000 | 0 | ||
| 6600000 | 0 | ||
| 7000000 | 0 | ||
| 8000000 | 0 | ||
| 8500000 | 0 | ||
| 10000000 | 0 | ||
| 11000000 | 0 | ||
| 12000000 | 0 | ||
| 12500000 | 0 | ||
| 13000000 | 0 | ||
| 14000000 | 0 | ||
| 15000000 | 0 | ||
| 16000000 | 0 | ||
| 20000000 | 0 | ||
| 20380050 | 0 | ||
| 25000000 | 0 | ||
| 30000000 | 0 | ||
| 40000000 | 0 | ||
| 50000000 | 0 | ||
| 60000000 | 0 | ||
| 70000000 | 0 | ||
| 100000000 | 0 | ||
| 120000000 | 0 | ||
| 125000000 | 0 | ||
| 150000000 | 0 | ||
| 200000000 | 0 | ||
| 400000000 | 0 | ||
| 700000000 | 0 | ||
| 800000000 | 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.