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    Home / Central Data Catalog / UZB_2008-2019_ES-P_V01_M / variable [F2]
central

Enterprise Survey 2008-2019, Panel Data

Uzbekistan, 2008 - 2019
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Reference ID
UZB_2008-2019_ES-P_v01_M
Producer(s)
World Bank Group (WBG), European Bank for Reconstruction and Development (EBRD)
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
12225
Downloads
673
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  • Uzbekistan_2008_2013_2019.dta

total annual costs of water in last fiscal year (_2008_n2h)

Data file: Uzbekistan_2008_2013_2019.dta

Overview

Valid: 121
Invalid: 1874
Minimum: -9
Maximum: 560000000
Type: Discrete
Decimal: 0
Start: 4061
End: 4069
Width: 9
Range: -9 - 560000000
Format: Numeric

Questions and instructions

Question pretext
READ THE FOLLOWING TO THE RESPONDENT BEFORE PROCEEDING:

The purpose of the following questions is to allow us to estimate the productivity of establishments like this one. Estimates are made at the aggregate level so the information you provide below will be compiled with the information from other establishments. It is important that this information be as accurate as possible.
The individual data are treated as confidential – the identity of your establishment will not be revealed at any point. Please provide the following information from the financial statements of this establishment.
Literal question
For fiscal year 2007, please provide the following information about this establishment:
- Total annual costs of water
Categories
Value Category Cases
-9 don't know 7
5.8%
1 23
19%
29000 1
0.8%
35000 1
0.8%
36000 1
0.8%
40000 1
0.8%
41000 1
0.8%
50000 3
2.5%
50400 1
0.8%
60000 2
1.7%
61400 1
0.8%
70000 1
0.8%
106000 1
0.8%
130000 1
0.8%
153000 1
0.8%
200000 1
0.8%
207000 1
0.8%
210000 1
0.8%
212000 1
0.8%
230000 1
0.8%
234000 1
0.8%
258000 1
0.8%
259000 1
0.8%
260028 1
0.8%
298000 1
0.8%
364000 1
0.8%
373000 1
0.8%
398000 1
0.8%
400000 1
0.8%
434000 1
0.8%
446000 1
0.8%
488000 1
0.8%
500000 1
0.8%
564000 1
0.8%
575000 1
0.8%
600000 2
1.7%
640000 1
0.8%
648000 1
0.8%
720000 2
1.7%
746000 1
0.8%
754000 1
0.8%
810000 1
0.8%
1000000 1
0.8%
1141000 1
0.8%
1200000 1
0.8%
1424000 1
0.8%
1492000 1
0.8%
1550000 1
0.8%
1600000 1
0.8%
2000000 1
0.8%
2200000 1
0.8%
2201056 1
0.8%
2300000 1
0.8%
2800000 1
0.8%
3000000 1
0.8%
3122000 1
0.8%
3454751 1
0.8%
3713606 1
0.8%
3985000 1
0.8%
4000000 2
1.7%
4500000 1
0.8%
4541800 1
0.8%
4600000 1
0.8%
4604000 1
0.8%
4688313 1
0.8%
5841000 1
0.8%
5883666 1
0.8%
6200000 1
0.8%
6410000 1
0.8%
6617818 1
0.8%
7100000 1
0.8%
8438500 1
0.8%
16940000 1
0.8%
18224000 1
0.8%
18800000 1
0.8%
22400000 1
0.8%
27658000 1
0.8%
28554800 1
0.8%
30002000 1
0.8%
40200000 1
0.8%
43234000 1
0.8%
51058967 1
0.8%
71000000 1
0.8%
89000000 1
0.8%
94348000 1
0.8%
214542400 1
0.8%
560000000 1
0.8%
Sysmiss 1874
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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