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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / ZMB_2007_ES-P_V02_M / variable [F2]
enterprise_surveys

Enterprise Survey 2007-2013, Panel Data

Zambia, 2007 - 2013
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Reference ID
ZMB_2007_ES-P_v02_M
DOI
https://doi.org/10.48529/b51x-z117
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
May 27, 2014
Last modified
Jan 13, 2016
Page views
51221
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6572
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  • Zambia_2007_2013_Panel

Total Annual Expenditure For Purchases Of Equipment In Last Fiscal Yr (n5a)

Data file: Zambia_2007_2013_Panel

Overview

Valid: 790
Invalid: 414
Type: Discrete
Decimal: 0
Start: 788
End: 799
Width: 12
Range: -9 - 150000000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year [insert last complete fiscal year], how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Categories
Value Category Cases
-9 DK 38
4.8%
0 303
38.4%
20 1
0.1%
30 1
0.1%
31 1
0.1%
45 1
0.1%
500 1
0.1%
750 1
0.1%
3000 1
0.1%
20000 1
0.1%
34000 1
0.1%
50000 1
0.1%
120000 1
0.1%
125000 1
0.1%
150000 2
0.3%
236000 1
0.1%
300000 1
0.1%
360000 1
0.1%
500000 1
0.1%
600000 2
0.3%
635000 1
0.1%
650000 1
0.1%
700000 1
0.1%
750000 1
0.1%
1000000 2
0.3%
1200000 1
0.1%
1470000 1
0.1%
1500000 5
0.6%
1550000 1
0.1%
1750000 1
0.1%
1800000 2
0.3%
2000000 5
0.6%
2200000 1
0.1%
2500000 1
0.1%
2792000 1
0.1%
3000000 1
0.1%
3200000 1
0.1%
3500000 1
0.1%
3600000 2
0.3%
4000000 2
0.3%
4250000 1
0.1%
4495000 1
0.1%
4500000 1
0.1%
5000000 11
1.4%
6000000 4
0.5%
6500000 3
0.4%
6800000 1
0.1%
7000000 3
0.4%
7500000 2
0.3%
8000000 5
0.6%
8100000 1
0.1%
9000000 3
0.4%
9800000 1
0.1%
10000000 12
1.5%
10200000 1
0.1%
10500000 1
0.1%
11000000 1
0.1%
12000000 6
0.8%
13400000 1
0.1%
14000000 1
0.1%
15000000 8
1%
17000000 1
0.1%
18000000 4
0.5%
18350000 1
0.1%
19000000 1
0.1%
20000000 14
1.8%
20400000 1
0.1%
21000000 1
0.1%
21085000 1
0.1%
22000000 1
0.1%
23000000 2
0.3%
24000000 1
0.1%
25000000 10
1.3%
28000000 1
0.1%
29000000 2
0.3%
29629657 1
0.1%
30000000 13
1.6%
31000000 1
0.1%
34000000 2
0.3%
35000000 6
0.8%
36000000 1
0.1%
38000000 1
0.1%
39000000 1
0.1%
40000000 13
1.6%
40200000 1
0.1%
42000000 1
0.1%
45000000 6
0.8%
46000000 1
0.1%
49000000 2
0.3%
50000000 20
2.5%
51250000 1
0.1%
55000000 3
0.4%
56000000 1
0.1%
60000000 6
0.8%
62000000 1
0.1%
65000000 2
0.3%
68000000 2
0.3%
69800000 1
0.1%
70000000 7
0.9%
75000000 2
0.3%
75500000 1
0.1%
78000000 1
0.1%
80000000 9
1.1%
86000000 1
0.1%
90000000 3
0.4%
90600000 1
0.1%
92000000 1
0.1%
95000000 1
0.1%
96000000 1
0.1%
100000000 6
0.8%
110000000 1
0.1%
119000000 1
0.1%
120000000 5
0.6%
125000000 1
0.1%
130000000 1
0.1%
131250000 1
0.1%
140000000 3
0.4%
150000000 11
1.4%
151000000 1
0.1%
155000000 2
0.3%
160000000 1
0.1%
164000000 1
0.1%
165000000 1
0.1%
180000000 1
0.1%
191203435 1
0.1%
195889000 1
0.1%
200000000 9
1.1%
213000000 1
0.1%
218000000 1
0.1%
222500000 1
0.1%
224713000 1
0.1%
227969717 1
0.1%
230000000 1
0.1%
235000000 1
0.1%
238000000 1
0.1%
240000000 2
0.3%
250000000 8
1%
260000000 1
0.1%
265000000 1
0.1%
272000000 1
0.1%
295000000 1
0.1%
300000000 9
1.1%
327000000 1
0.1%
341001864 1
0.1%
350000000 3
0.4%
360431000 1
0.1%
400000000 10
1.3%
410000000 1
0.1%
432000000 1
0.1%
435000000 1
0.1%
500000000 19
2.4%
569000000 1
0.1%
600000000 2
0.3%
610000000 1
0.1%
626369600 1
0.1%
650000000 1
0.1%
674000000 1
0.1%
677000000 1
0.1%
740000000 1
0.1%
750000000 2
0.3%
750210147 1
0.1%
759000000 1
0.1%
800000000 3
0.4%
852000000 1
0.1%
900000000 2
0.3%
1000000000 3
0.4%
1035000000 1
0.1%
1100000000 3
0.4%
1200000000 1
0.1%
1400000000 1
0.1%
1500000000 2
0.3%
1600000000 1
0.1%
2000000000 4
0.5%
2090000000 1
0.1%
2791000000 1
0.1%
2900000000 1
0.1%
3000000000 2
0.3%
3500000000 1
0.1%
3720000000 1
0.1%
4000000000 1
0.1%
5000000000 2
0.3%
6000000000 1
0.1%
7000000000 1
0.1%
7600000000 1
0.1%
10000000000 2
0.3%
12500000000 1
0.1%
14600000000 1
0.1%
15000000000 1
0.1%
20000000000 1
0.1%
26000000000 1
0.1%
150000000000 1
0.1%
Sysmiss 414
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.
Interviewer instructions
The category machinery, vehicles and equipment is the annual investment of anything used directly by this establishment to produce. Vehicles include transport and loading and unloading vehicles. It should include not only the purchase cost but also all other costs involved in the investment such as transport of the item and installation cost. Computer hardware should be considered under equipment

Land, buildings is the annual investment in land, buildings and structures used directly or indirectly by this establishment to produce goods and services.

Included are expenditures for new and used structures (including those under construction at the end of last complete fiscal year), fixtures and equipment, additions, major alterations and improvements to existing facilities, and capitalized repairs.
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