Enterprise Survey 2019
Lebanon, 2019 - 2020
Get Microdata
Reference ID
LBN_2019_ES_v01_M
Producer(s)
The World Bank Group, The European Bank for Reconstruction and Development, The European Investment Bank
Collection(s)
Metadata
Created on
Jul 28, 2020
Last modified
Jul 28, 2020
Page views
16410
Downloads
572
- Data files
- lebanon_2019_full_data.dta
Cost For Establishment To Re-Purchase All of Its Machinery (n7a)
Data file: lebanon_2019_full_data.dta
Overview
Valid:
268
Invalid:
264
Minimum:
-9
Maximum:
1500000000000
Type:
Discrete
Decimal:
0
Start:
1708
End:
1720
Width:
13
Range:
-9 - 1500000000000
Format:
Numeric
Questions and instructions
Literal question
Hypothetically, if this establishment were to purchase all the machinery, vehicles, and equipment it uses now, in their current condition and regardless of whether the establishment owns them or not, how much would they cost, independently of whether they are owned, rented or leased?
- Machinery, vehicles, and equipment
- Machinery, vehicles, and equipment
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 12 |
4.5%
|
| 10000000 | 1 |
0.4%
|
|
| 15000000 | 2 |
0.7%
|
|
| 20000000 | 1 |
0.4%
|
|
| 25000000 | 2 |
0.7%
|
|
| 30000000 | 5 |
1.9%
|
|
| 40000000 | 1 |
0.4%
|
|
| 45000000 | 3 |
1.1%
|
|
| 50000000 | 7 |
2.6%
|
|
| 60000000 | 1 |
0.4%
|
|
| 75000000 | 5 |
1.9%
|
|
| 80000000 | 1 |
0.4%
|
|
| 90000000 | 4 |
1.5%
|
|
| 100000000 | 10 |
3.7%
|
|
| 110000000 | 1 |
0.4%
|
|
| 120000000 | 1 |
0.4%
|
|
| 150000000 | 9 |
3.4%
|
|
| 160000000 | 3 |
1.1%
|
|
| 180000000 | 1 |
0.4%
|
|
| 200000000 | 4 |
1.5%
|
|
| 225000000 | 7 |
2.6%
|
|
| 250000000 | 1 |
0.4%
|
|
| 251000000 | 1 |
0.4%
|
|
| 300000000 | 11 |
4.1%
|
|
| 330000000 | 2 |
0.7%
|
|
| 350000000 | 2 |
0.7%
|
|
| 400000000 | 3 |
1.1%
|
|
| 430000000 | 1 |
0.4%
|
|
| 450000000 | 5 |
1.9%
|
|
| 500000000 | 9 |
3.4%
|
|
| 525000000 | 1 |
0.4%
|
|
| 550000000 | 2 |
0.7%
|
|
| 600000000 | 7 |
2.6%
|
|
| 650000000 | 1 |
0.4%
|
|
| 700000000 | 1 |
0.4%
|
|
| 750000000 | 8 |
3%
|
|
| 800000000 | 3 |
1.1%
|
|
| 850000000 | 1 |
0.4%
|
|
| 860000000 | 1 |
0.4%
|
|
| 900000000 | 7 |
2.6%
|
|
| 1000000000 | 11 |
4.1%
|
|
| 1050000000 | 1 |
0.4%
|
|
| 1100000000 | 1 |
0.4%
|
|
| 1125000000 | 1 |
0.4%
|
|
| 1150000000 | 1 |
0.4%
|
|
| 1300000000 | 1 |
0.4%
|
|
| 1500000000 | 23 |
8.6%
|
|
| 1530000000 | 1 |
0.4%
|
|
| 1750000000 | 1 |
0.4%
|
|
| 1800000000 | 2 |
0.7%
|
|
| 2000000000 | 4 |
1.5%
|
|
| 2100000000 | 1 |
0.4%
|
|
| 2250000000 | 5 |
1.9%
|
|
| 2500000000 | 6 |
2.2%
|
|
| 3000000000 | 12 |
4.5%
|
|
| 3026000000 | 1 |
0.4%
|
|
| 4000000000 | 2 |
0.7%
|
|
| 4500000000 | 4 |
1.5%
|
|
| 4600000000 | 1 |
0.4%
|
|
| 5000000000 | 2 |
0.7%
|
|
| 6000000000 | 7 |
2.6%
|
|
| 7000000000 | 2 |
0.7%
|
|
| 7500000000 | 6 |
2.2%
|
|
| 8000000000 | 2 |
0.7%
|
|
| 9000000000 | 2 |
0.7%
|
|
| 12000000000 | 1 |
0.4%
|
|
| 15000000000 | 5 |
1.9%
|
|
| 18000000000 | 1 |
0.4%
|
|
| 20000000000 | 1 |
0.4%
|
|
| 30000000000 | 2 |
0.7%
|
|
| 37000000000 | 1 |
0.4%
|
|
| 75000000000 | 1 |
0.4%
|
|
| 100000000000 | 1 |
0.4%
|
|
| 150000000000 | 1 |
0.4%
|
|
| 225000000000 | 2 |
0.7%
|
|
| 250000000000 | 1 |
0.4%
|
|
| 450000000000 | 1 |
0.4%
|
|
| 750000000000 | 1 |
0.4%
|
|
| 1500000000000 | 1 |
0.4%
|
|
| Sysmiss | 264 |
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.