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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / KAZ_2019_ES_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2019

Kazakhstan, 2019
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Reference ID
KAZ_2019_ES_v01_M
DOI
https://doi.org/10.48529/k3nd-8s89
Producer(s)
The World Bank (WB), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 13, 2020
Last modified
Jul 13, 2020
Page views
32891
Downloads
898
  • Study Description
  • Data Description
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  • Data files
  • kazakhstan_2019_full_data.dta

Total Annual Expenditure For Purchases of Equipment In Year Prior To Last FY (n5c)

Data file: kazakhstan_2019_full_data.dta

Overview

Valid: 255
Invalid: 1191
Minimum: -9
Maximum: 500000000000
Type: Discrete
Decimal: 0
Start: 1851
End: 1862
Width: 12
Range: -9 - 500000000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year [insert last complete fiscal year minus one],, how much did this establishment spend on purchases of: New or used machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know (spontaneous) 50
19.6%
0 4
1.6%
20 1
0.4%
50000 1
0.4%
122000 1
0.4%
150000 1
0.4%
165000 1
0.4%
183000 1
0.4%
200000 2
0.8%
240000 1
0.4%
300000 1
0.4%
320000 1
0.4%
340000 1
0.4%
346000 1
0.4%
350000 1
0.4%
410000 1
0.4%
430000 1
0.4%
500000 4
1.6%
700000 1
0.4%
750000 1
0.4%
800000 1
0.4%
900000 2
0.8%
1000000 5
2%
1200000 2
0.8%
1250000 1
0.4%
1300000 2
0.8%
1500000 6
2.4%
1700000 1
0.4%
2000000 9
3.5%
2112000 1
0.4%
2261000 1
0.4%
2300000 1
0.4%
2500000 3
1.2%
2800000 1
0.4%
3000000 13
5.1%
3000880 1
0.4%
3250000 1
0.4%
3400000 1
0.4%
3500000 2
0.8%
4000000 2
0.8%
4500000 1
0.4%
5000000 11
4.3%
6000000 6
2.4%
6700000 1
0.4%
7000000 5
2%
7398000 1
0.4%
7500000 1
0.4%
7800000 1
0.4%
8000000 1
0.4%
9000000 3
1.2%
10000000 19
7.5%
10500000 1
0.4%
11000000 1
0.4%
12000000 3
1.2%
13000000 2
0.8%
13760000 1
0.4%
15000000 11
4.3%
17000000 3
1.2%
18000000 3
1.2%
20000000 7
2.7%
23000000 2
0.8%
25000000 3
1.2%
27168000 1
0.4%
30000000 5
2%
32000000 2
0.8%
34680000 1
0.4%
35000000 1
0.4%
40000000 4
1.6%
45000000 1
0.4%
50000000 2
0.8%
60000000 1
0.4%
62000000 1
0.4%
65000000 1
0.4%
67000000 1
0.4%
70000000 1
0.4%
90000000 1
0.4%
100000000 2
0.8%
145000000 1
0.4%
150000000 1
0.4%
165000000 1
0.4%
200000000 2
0.8%
245976000 1
0.4%
350000000 1
0.4%
451288000 1
0.4%
1000000000 1
0.4%
1366000000 1
0.4%
500000000000 1
0.4%
Sysmiss 1191
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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