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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / COD_2010_ES-P_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2010-2013, Panel Data

Congo, Dem. Rep., 2010 - 2014
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Reference ID
COD_2010_ES-P_v01_M
DOI
https://doi.org/10.48529/y354-7a17
Producer(s)
World Bank
Collection(s)
Enterprise Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jul 17, 2014
Last modified
Jul 17, 2014
Page views
44045
Downloads
15127
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  • DRC_2010_2013_Panel

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

Data file: DRC_2010_2013_Panel

Overview

Valid: 375
Invalid: 513
Type: Discrete
Decimal: 0
Start: 640
End: 650
Width: 11
Range: -9 - 13800000000
Format: Numeric

Questions and instructions

Literal question
In fiscal year 2009, how much did this establishment spend on purchases of:
Machinery, vehicles, and equipment (new or used)
Categories
Value Category Cases
-9 DK 44
11.7%
0 6
1.6%
100 1
0.3%
12000 1
0.3%
20000 1
0.3%
35000 1
0.3%
40000 1
0.3%
41400 1
0.3%
45000 2
0.5%
50000 2
0.5%
54000 1
0.3%
68000 1
0.3%
70000 1
0.3%
82800 1
0.3%
90000 1
0.3%
94000 1
0.3%
95000 1
0.3%
100000 5
1.3%
108000 1
0.3%
126000 1
0.3%
132000 1
0.3%
135000 2
0.5%
138000 1
0.3%
150000 4
1.1%
180000 6
1.6%
184000 1
0.3%
200000 3
0.8%
202500 1
0.3%
216500 1
0.3%
225000 3
0.8%
230000 1
0.3%
238000 2
0.5%
250000 6
1.6%
257600 2
0.5%
265000 1
0.3%
270000 3
0.8%
271600 1
0.3%
275000 1
0.3%
280000 1
0.3%
283000 1
0.3%
291500 1
0.3%
300000 2
0.5%
315000 1
0.3%
331200 1
0.3%
345800 1
0.3%
350000 2
0.5%
360000 1
0.3%
364000 1
0.3%
368000 1
0.3%
380000 1
0.3%
387000 1
0.3%
400000 3
0.8%
450000 11
2.9%
465000 1
0.3%
492100 1
0.3%
496600 1
0.3%
500000 8
2.1%
525000 1
0.3%
540000 2
0.5%
552000 1
0.3%
560000 1
0.3%
573500 1
0.3%
575000 1
0.3%
600000 1
0.3%
630000 1
0.3%
635000 1
0.3%
637000 2
0.5%
644000 1
0.3%
650000 1
0.3%
675000 1
0.3%
680000 2
0.5%
700000 1
0.3%
720000 1
0.3%
728000 1
0.3%
750000 2
0.5%
800000 1
0.3%
830000 1
0.3%
850000 1
0.3%
900000 8
2.1%
1000000 5
1.3%
1088735 1
0.3%
1116000 1
0.3%
1143000 1
0.3%
1150000 1
0.3%
1200000 5
1.3%
1300000 1
0.3%
1350000 5
1.3%
1380000 1
0.3%
1440000 2
0.5%
1456000 1
0.3%
1620000 1
0.3%
1680000 1
0.3%
1741500 1
0.3%
1800000 6
1.6%
1850000 1
0.3%
1932000 1
0.3%
1950000 1
0.3%
2000000 4
1.1%
2150000 1
0.3%
2160000 1
0.3%
2214000 1
0.3%
2275000 1
0.3%
2307500 1
0.3%
2500000 2
0.5%
2700000 2
0.5%
2760000 1
0.3%
2800000 1
0.3%
2880000 1
0.3%
3060000 1
0.3%
3220000 1
0.3%
3240000 1
0.3%
3420000 1
0.3%
3600000 1
0.3%
3680000 1
0.3%
4000000 2
0.5%
4050000 1
0.3%
4400000 1
0.3%
4446000 1
0.3%
4500000 4
1.1%
4600000 1
0.3%
4650000 1
0.3%
5000000 1
0.3%
5320310 1
0.3%
5400000 3
0.8%
5600000 1
0.3%
6000000 3
0.8%
6160000 1
0.3%
6300000 1
0.3%
6444000 1
0.3%
7000000 2
0.5%
7200000 1
0.3%
7280000 1
0.3%
8000000 1
0.3%
8100000 3
0.8%
8400000 1
0.3%
8523000 1
0.3%
8700000 2
0.5%
9000000 4
1.1%
9100000 1
0.3%
9200000 1
0.3%
9900000 1
0.3%
10000000 2
0.5%
10500000 1
0.3%
10800000 3
0.8%
11448000 1
0.3%
11700000 1
0.3%
12000000 1
0.3%
12704000 1
0.3%
13000000 1
0.3%
13500000 2
0.5%
13800000 2
0.5%
14400000 2
0.5%
15000000 2
0.5%
17280000 1
0.3%
18000000 2
0.5%
18900000 1
0.3%
19800000 3
0.8%
20240000 1
0.3%
20442470 1
0.3%
22500000 2
0.5%
23000000 1
0.3%
25000000 1
0.3%
27000000 3
0.8%
27600000 1
0.3%
29250000 1
0.3%
32200000 1
0.3%
33480000 1
0.3%
38000000 1
0.3%
39000000 1
0.3%
45000000 2
0.5%
47000000 1
0.3%
49500000 1
0.3%
50000000 1
0.3%
54000000 3
0.8%
56700000 2
0.5%
58500000 1
0.3%
63000000 1
0.3%
63005000 1
0.3%
74520000 1
0.3%
87400000 1
0.3%
89000000 1
0.3%
90000000 3
0.8%
117000000 1
0.3%
135000000 1
0.3%
140000000 1
0.3%
160860000 1
0.3%
162000000 2
0.5%
180000000 1
0.3%
225000000 3
0.8%
400000000 1
0.3%
410000000 1
0.3%
450000000 2
0.5%
460000000 1
0.3%
594000000 1
0.3%
700000000 1
0.3%
720000000 1
0.3%
900000000 1
0.3%
931000000 1
0.3%
1350000000 1
0.3%
1800000000 1
0.3%
2250000000 1
0.3%
2700000000 1
0.3%
9000000000 1
0.3%
9274758000 1
0.3%
9300000000 1
0.3%
13800000000 1
0.3%
Sysmiss 513
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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