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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / SLE_2009-2017_ES-P_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey 2009-2017, Panel Data

Sierra Leone, 2008 - 2017
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Reference ID
SLE_2009-2017_ES-P_v01_M
DOI
https://doi.org/10.48529/b37p-3p62
Producer(s)
The World Bank
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 15, 2018
Last modified
Jun 15, 2018
Page views
27578
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1032
  • Study Description
  • Data Description
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  • Sierra
    Leone_2009_2017

Net Book Value of Machinery Vehicles, And Equipment In Last Fiscal Year (n6a)

Data file: Sierra Leone_2009_2017

Overview

Valid: 227
Invalid: 75
Type: Discrete
Decimal: 0
Start: 545
End: 554
Width: 10
Range: -9 - 8900000000
Format: Numeric

Questions and instructions

Literal question
From this establishment's Balance Sheet for 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 Cases
-9 Don't know (spontaneous) 10
4.4%
0 19
8.4%
200 1
0.4%
50000 1
0.4%
200000 3
1.3%
250000 2
0.9%
300000 1
0.4%
400000 3
1.3%
450000 2
0.9%
500000 6
2.6%
560000 1
0.4%
590000 1
0.4%
600000 4
1.8%
650000 1
0.4%
700000 2
0.9%
720000 1
0.4%
750000 1
0.4%
770000 1
0.4%
800000 1
0.4%
830000 1
0.4%
1000000 4
1.8%
1200000 1
0.4%
1500000 4
1.8%
1580000 1
0.4%
2000000 7
3.1%
2100000 1
0.4%
2170000 1
0.4%
2200000 2
0.9%
2500000 5
2.2%
2510800 1
0.4%
2542000 1
0.4%
2787521 1
0.4%
2896472 1
0.4%
3000000 4
1.8%
3980000 1
0.4%
4000000 4
1.8%
4450000 1
0.4%
5000000 17
7.5%
5210000 1
0.4%
5250000 1
0.4%
6000000 2
0.9%
6200000 1
0.4%
7000000 1
0.4%
8000000 3
1.3%
9000000 1
0.4%
9006000 1
0.4%
10000000 9
4%
10054200 1
0.4%
11000000 3
1.3%
11500000 1
0.4%
12000000 4
1.8%
12400000 1
0.4%
12480000 1
0.4%
13000000 1
0.4%
15000000 6
2.6%
15000550 1
0.4%
15500000 1
0.4%
16000000 1
0.4%
16451000 1
0.4%
17000000 2
0.9%
20000000 4
1.8%
24000000 1
0.4%
25000000 5
2.2%
26000000 2
0.9%
28500000 1
0.4%
30000000 7
3.1%
39000000 1
0.4%
40000000 1
0.4%
45000000 1
0.4%
45060000 1
0.4%
50000000 4
1.8%
65550000 1
0.4%
74000000 1
0.4%
81000000 1
0.4%
85550000 1
0.4%
90000000 1
0.4%
100000000 2
0.9%
117000000 1
0.4%
120000000 1
0.4%
130250000 1
0.4%
140000000 1
0.4%
150000000 2
0.9%
150750000 1
0.4%
158000000 1
0.4%
159000000 1
0.4%
181000000 1
0.4%
195000000 1
0.4%
240000000 1
0.4%
250000000 2
0.9%
300000000 1
0.4%
400000000 2
0.9%
450000000 2
0.9%
466622000 1
0.4%
510000000 1
0.4%
800000000 1
0.4%
850500000 1
0.4%
986400000 1
0.4%
1000000000 1
0.4%
1000000506 1
0.4%
1500000000 1
0.4%
2000000000 1
0.4%
8900000000 1
0.4%
Sysmiss 75
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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