Enterprise Survey 2016
Myanmar, 2016 - 2017
Get Microdata
Reference ID
MMR_2016_ES_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Aug 10, 2017
Last modified
Aug 10, 2017
Page views
46072
Downloads
7364
- Data files
- myanmar_2016_full_data
Total Annual Expenditure For Purchases Of Equipment In Year Prior To Last FY (n5c)
Data file: myanmar_2016_full_data
Overview
Valid:
267
Invalid:
340
Type:
Discrete
Decimal:
0
Start:
1684
End:
1695
Width:
12
Range:
-9 - 120000000000
Format:
Numeric
Questions and instructions
Literal question
In [insert last complete fiscal year], how much did this establishment spend on purchases of:
New or used machinery, vehicles, and equipment
New or used machinery, vehicles, and equipment
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 8 |
3%
|
| 0 | 6 |
2.2%
|
|
| 40000 | 1 |
0.4%
|
|
| 50000 | 1 |
0.4%
|
|
| 90000 | 1 |
0.4%
|
|
| 100000 | 2 |
0.7%
|
|
| 120000 | 1 |
0.4%
|
|
| 150000 | 2 |
0.7%
|
|
| 200000 | 4 |
1.5%
|
|
| 250000 | 3 |
1.1%
|
|
| 300000 | 6 |
2.2%
|
|
| 400000 | 2 |
0.7%
|
|
| 450000 | 1 |
0.4%
|
|
| 500000 | 13 |
4.9%
|
|
| 600000 | 1 |
0.4%
|
|
| 700000 | 4 |
1.5%
|
|
| 800000 | 2 |
0.7%
|
|
| 900000 | 1 |
0.4%
|
|
| 1000000 | 21 |
7.9%
|
|
| 1200000 | 2 |
0.7%
|
|
| 1400000 | 1 |
0.4%
|
|
| 1500000 | 7 |
2.6%
|
|
| 1800000 | 3 |
1.1%
|
|
| 2000000 | 11 |
4.1%
|
|
| 2300000 | 1 |
0.4%
|
|
| 2500000 | 5 |
1.9%
|
|
| 2800000 | 1 |
0.4%
|
|
| 3000000 | 12 |
4.5%
|
|
| 3100000 | 1 |
0.4%
|
|
| 3500000 | 1 |
0.4%
|
|
| 3600000 | 1 |
0.4%
|
|
| 4000000 | 1 |
0.4%
|
|
| 4700000 | 1 |
0.4%
|
|
| 5000000 | 10 |
3.7%
|
|
| 6000000 | 4 |
1.5%
|
|
| 6500000 | 1 |
0.4%
|
|
| 7000000 | 2 |
0.7%
|
|
| 8000000 | 2 |
0.7%
|
|
| 10000000 | 16 |
6%
|
|
| 11000000 | 1 |
0.4%
|
|
| 12000000 | 4 |
1.5%
|
|
| 14000000 | 2 |
0.7%
|
|
| 14500000 | 1 |
0.4%
|
|
| 15000000 | 5 |
1.9%
|
|
| 15600000 | 1 |
0.4%
|
|
| 16000000 | 2 |
0.7%
|
|
| 17000000 | 1 |
0.4%
|
|
| 18000000 | 3 |
1.1%
|
|
| 19500000 | 1 |
0.4%
|
|
| 20000000 | 16 |
6%
|
|
| 21500000 | 1 |
0.4%
|
|
| 22000000 | 2 |
0.7%
|
|
| 23000000 | 1 |
0.4%
|
|
| 25000000 | 1 |
0.4%
|
|
| 26600000 | 1 |
0.4%
|
|
| 27500000 | 1 |
0.4%
|
|
| 28000000 | 1 |
0.4%
|
|
| 30000000 | 8 |
3%
|
|
| 35000000 | 1 |
0.4%
|
|
| 40000000 | 5 |
1.9%
|
|
| 50000000 | 6 |
2.2%
|
|
| 60000000 | 4 |
1.5%
|
|
| 70000000 | 2 |
0.7%
|
|
| 80000000 | 2 |
0.7%
|
|
| 82200000 | 1 |
0.4%
|
|
| 85000000 | 1 |
0.4%
|
|
| 100000000 | 11 |
4.1%
|
|
| 120000000 | 2 |
0.7%
|
|
| 140000000 | 1 |
0.4%
|
|
| 150000000 | 1 |
0.4%
|
|
| 200000000 | 4 |
1.5%
|
|
| 300000000 | 2 |
0.7%
|
|
| 400000000 | 3 |
1.1%
|
|
| 500000000 | 1 |
0.4%
|
|
| 800000000 | 1 |
0.4%
|
|
| 2000000000 | 1 |
0.4%
|
|
| 6114234201 | 1 |
0.4%
|
|
| 120000000000 | 1 |
0.4%
|
|
| Sysmiss | 340 |
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.