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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / UGA_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Uganda, 2006
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Reference ID
UGA_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/tpa6-z039
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Apr 28, 2011
Last modified
Sep 26, 2013
Page views
54803
Downloads
1933
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  • Uganda2006_manufacturing_clean
  • Uganda2006_retail_and_it_clean
  • Uganda2006_residual_clean

All land and buildings that you use (whether you own it or n (l6b)

Data file: Uganda2006_manufacturing_clean

Overview

Valid: 307
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1692
End: 1702
Width: 11
Range: -
Format: Numeric

Questions and instructions

Literal question
In 2005, if you had needed to purchase the following in its condition at that time, how much would it have cost?
All land and buildings that you use (whether you own it or not)
Categories
Value Category Cases
1500000 1
0.3%
2000000 2
0.7%
2630000 1
0.3%
3600000 1
0.3%
4000000 2
0.7%
5000000 3
1%
5200000 1
0.3%
6830000 1
0.3%
8000000 1
0.3%
8500000 1
0.3%
9000000 1
0.3%
9500000 1
0.3%
9600000 1
0.3%
10000000 5
1.6%
11000000 1
0.3%
12000000 6
2%
13000000 3
1%
15000000 16
5.2%
17000000 1
0.3%
20000000 20
6.5%
21000000 1
0.3%
25000000 11
3.6%
25672800 1
0.3%
30000000 7
2.3%
32000000 1
0.3%
33500000 1
0.3%
34486000 1
0.3%
35000000 4
1.3%
40000000 11
3.6%
43000000 1
0.3%
45000000 1
0.3%
46000000 1
0.3%
46422000 1
0.3%
48640000 1
0.3%
50000000 16
5.2%
56750000 1
0.3%
56815000 1
0.3%
60000000 6
2%
66725000 1
0.3%
70000000 3
1%
74000000 1
0.3%
75000000 3
1%
80000000 10
3.3%
82000000 1
0.3%
82422000 1
0.3%
82640000 1
0.3%
84530000 1
0.3%
85000000 1
0.3%
95000000 1
0.3%
98200000 1
0.3%
100000000 18
5.9%
110000000 4
1.3%
110780000 1
0.3%
115000000 1
0.3%
120000000 4
1.3%
130000000 2
0.7%
130690000 1
0.3%
140000000 1
0.3%
145000000 1
0.3%
150000000 7
2.3%
160000000 1
0.3%
170000000 1
0.3%
178000000 1
0.3%
180000000 2
0.7%
200000000 5
1.6%
220000000 1
0.3%
234000000 1
0.3%
250000000 9
2.9%
280000000 1
0.3%
300000000 8
2.6%
320000000 1
0.3%
325000000 1
0.3%
332000000 1
0.3%
340000000 1
0.3%
350000000 2
0.7%
390000000 1
0.3%
400000000 4
1.3%
420000000 1
0.3%
450000000 3
1%
500000000 6
2%
520000000 1
0.3%
550000000 1
0.3%
592000000 1
0.3%
600000000 5
1.6%
650000000 2
0.7%
700000000 3
1%
800000000 9
2.9%
830000000 1
0.3%
900000000 3
1%
1000000000 2
0.7%
1200000000 1
0.3%
1295000064 1
0.3%
1500000000 1
0.3%
1700000000 1
0.3%
2000000000 2
0.7%
2500000000 1
0.3%
3000000000 2
0.7%
3100000000 1
0.3%
3200000000 2
0.7%
3800000000 1
0.3%
3805649920 1
0.3%
4499999744 1
0.3%
5000000000 2
0.7%
5500000256 1
0.3%
6499999744 1
0.3%
10499999744 1
0.3%
15000000512 2
0.7%
18300000256 1
0.3%
20000000000 1
0.3%
24049999872 1
0.3%
26900000768 1
0.3%
35000000512 1
0.3%
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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