Enterprise Survey 2019
Uzbekistan, 2019
Get Microdata
Reference ID
UZB_2019_ES_v01_M
Producer(s)
The World Bank (WB), European Bank for Reconstruction and Development (EBRD), European Investment Bank (EIB)
Collection(s)
Metadata
Created on
Jun 30, 2020
Last modified
Jun 30, 2020
Page views
53289
Downloads
1381
- Data files
- uzbekistan_2019_full_data.dta
Total Annual Expenditure For Purchases of Land And Buildings In Last FY (n5b)
Data file: uzbekistan_2019_full_data.dta
Overview
Valid:
521
Invalid:
718
Minimum:
-9
Maximum:
57000000000
Type:
Discrete
Decimal:
0
Start:
1516
End:
1526
Width:
11
Range:
-9 - 57000000000
Format:
Numeric
Questions and instructions
Literal question
In fiscal year 2015, how much did this establishment spend on purchases of and and buildings, including expansion and renovations of existing structures? Land and buildings, including expansion and renovations of existing structures?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Don't know (spontaneous) | 47 |
9%
|
| 0 | 395 |
75.8%
|
|
| 600000 | 1 |
0.2%
|
|
| 2400000 | 1 |
0.2%
|
|
| 3000000 | 1 |
0.2%
|
|
| 4000000 | 1 |
0.2%
|
|
| 5000000 | 1 |
0.2%
|
|
| 7000000 | 1 |
0.2%
|
|
| 12000000 | 1 |
0.2%
|
|
| 26000000 | 1 |
0.2%
|
|
| 30000000 | 3 |
0.6%
|
|
| 33000000 | 1 |
0.2%
|
|
| 36000000 | 1 |
0.2%
|
|
| 37000000 | 1 |
0.2%
|
|
| 40000000 | 2 |
0.4%
|
|
| 40400000 | 1 |
0.2%
|
|
| 42000000 | 1 |
0.2%
|
|
| 50000000 | 3 |
0.6%
|
|
| 54000000 | 1 |
0.2%
|
|
| 55000000 | 1 |
0.2%
|
|
| 60000000 | 1 |
0.2%
|
|
| 60455000 | 1 |
0.2%
|
|
| 80000000 | 2 |
0.4%
|
|
| 85000000 | 2 |
0.4%
|
|
| 90000000 | 1 |
0.2%
|
|
| 100000000 | 2 |
0.4%
|
|
| 110000000 | 1 |
0.2%
|
|
| 130000000 | 1 |
0.2%
|
|
| 140000000 | 1 |
0.2%
|
|
| 150000000 | 2 |
0.4%
|
|
| 157000000 | 1 |
0.2%
|
|
| 160000000 | 1 |
0.2%
|
|
| 170000000 | 2 |
0.4%
|
|
| 210000000 | 1 |
0.2%
|
|
| 212000000 | 1 |
0.2%
|
|
| 220000000 | 1 |
0.2%
|
|
| 233000000 | 1 |
0.2%
|
|
| 280000000 | 1 |
0.2%
|
|
| 330000000 | 1 |
0.2%
|
|
| 400000000 | 1 |
0.2%
|
|
| 500000000 | 2 |
0.4%
|
|
| 600000000 | 1 |
0.2%
|
|
| 650000000 | 1 |
0.2%
|
|
| 700000000 | 3 |
0.6%
|
|
| 800000000 | 1 |
0.2%
|
|
| 861900000 | 1 |
0.2%
|
|
| 900000000 | 2 |
0.4%
|
|
| 1000000000 | 2 |
0.4%
|
|
| 1150000000 | 1 |
0.2%
|
|
| 1200000000 | 2 |
0.4%
|
|
| 1300000000 | 1 |
0.2%
|
|
| 1400000000 | 1 |
0.2%
|
|
| 1500000000 | 1 |
0.2%
|
|
| 2000000000 | 1 |
0.2%
|
|
| 2312735229 | 1 |
0.2%
|
|
| 2400000000 | 1 |
0.2%
|
|
| 3000000000 | 1 |
0.2%
|
|
| 3200000000 | 1 |
0.2%
|
|
| 4000000000 | 1 |
0.2%
|
|
| 5000000000 | 2 |
0.4%
|
|
| 6000000000 | 1 |
0.2%
|
|
| 7000000000 | 1 |
0.2%
|
|
| 8000000000 | 1 |
0.2%
|
|
| 57000000000 | 1 |
0.2%
|
|
| Sysmiss | 718 |
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.