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    Home / Central Data Catalog / LAO_2009_ES_V01_M_WB / variable [F1]
central

Enterprise Survey 2009

Lao PDR, 2009
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Reference ID
LAO_2009_ES_v01_M_WB
Producer(s)
World Bank
Metadata
DDI/XML JSON
Study website Interactive tools
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
19572
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  • Study Description
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  • Lao
    PDR-2009-full
    data-

N6a. Net value of Machinery, vehicles, and equipment (n6a)

Data file: Lao PDR-2009-full data-

Overview

Valid: 360
Invalid: 0
Type: Discrete
Decimal: 0
Start: 670
End: 681
Width: 12
Range: -
Format:

Questions and instructions

Literal question
At the end of fiscal year [insert last complete fiscal year], what was the net book value, that is the value of assets after depreciation, of the following:
Machinery, vehicles, and equipment
Categories
Value Category
-9 Don't know
-8 REF
3900000
4000000
7000000
8500000
10000000
12000000
13520000
15000000
15500000
17550000
18000000
20000000
25000000
30000000
35000000
36000000
40000000
45000000
50000000
60000000
68000000
72000000
75000000
100000000
118750000
120000000
125000000
127500000
133310020
140000000
150000000
153390000
170000000
180000000
185000000
200000000
210000000
220000000
250000000
255000000
260000000
270000000
280000000
300000000
312500000
324000000
350000000
354775000
400000000
417000000
420000000
425000000
450000000
500000000
525025600
540000000
541000000
550000000
555000000
600000000
639190242
680000000
688500000
700000000
750000000
785000000
800000000
850000000
854161056
900000000
940401565
1000000000
1038000000
1062500000
1100000000
1122165964
1190014000
1200000000
1250000000
1275000000
1340000000
1404000000
1500000000
1517986515
1700000000
1740000000
1800000000
1950000000
1963854092
2000000000
2010447842
2038939000
2100000000
2112000000
2150000000
2250000000
2430000000
2440000000
2475000000
2489177500
2500000000
2600000000
2700000000
2800000000
3000000000
3400000000
3500000000
3600000000
3800000000
3825000000
4000000000
4180000000
4250000000
4500000000
5000000000
5200000000
6000000000
6550000000
6575000000
7000000000
8500000000
8679000000
8728088887
9000000000
9627883000
9800000000
10000000000
12500000000
12871058473
13532508000
13663000000
14000000000
14881000000
17000000000
20162140371
22500000000
24000000000
27000000000
27405000000
31000000000
43200000000
45000000000
51000000000
80000000000
127500000000
153000000000
169751046790
850000000000
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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