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    Home / Central Data Catalog / LBN_2019_ES_V01_M / variable [F1]
central

Enterprise Survey 2019

Lebanon, 2019 - 2020
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Reference ID
LBN_2019_ES_v01_M
Producer(s)
The World Bank Group, The European Bank for Reconstruction and Development, The European Investment Bank
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
7155
Downloads
117
  • Study Description
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  • 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
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.
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