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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / MOZ_2007_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2007

Mozambique, 2007
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Reference ID
MOZ_2007_ES_v01_M_WB
DOI
https://doi.org/10.48529/b226-3140
Producer(s)
World Bank
Collection(s)
Enterprise Surveys Fragility, Conflict and Violence
Metadata
DDI/XML JSON
Created on
May 17, 2011
Last modified
Sep 26, 2013
Page views
40372
Downloads
9468
  • Study Description
  • Data Description
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  • Data files
  • Mozambique-2007--full
    data-1

machinery & equipment MV (n7a)

Data file: Mozambique-2007--full data-1

Overview

Valid: 461
Invalid: 138
Type: Discrete
Decimal: 0
Start: 1146
End: 1157
Width: 12
Range: -9 - 156000000000
Format: Numeric

Questions and instructions

Literal question
In 2006, if you had needed to purchase the following in its condition at that time, how much would it have cost?
Machinery, vehicles, and equipment
Categories
Value Category Cases
-9 Don't know 0
0%
-8 Refused to answer 0
0%
-7 Not applicable 0
0%
-6 Still in process 0
0%
-5 Application denied 0
0%
-4 Skipped 0
0%
-3 Not provided 0
0%
0 2
0.4%
900 1
0.2%
1150 1
0.2%
1500 1
0.2%
1900 1
0.2%
3000 2
0.4%
4000 1
0.2%
4350 1
0.2%
4500 1
0.2%
5000 4
0.9%
5500 1
0.2%
6500 1
0.2%
7000 2
0.4%
7500 1
0.2%
8000 2
0.4%
8272 1
0.2%
9000 2
0.4%
10000 9
2%
12000 2
0.4%
13000 2
0.4%
13800 1
0.2%
14000 1
0.2%
15000 3
0.7%
15600 1
0.2%
16000 1
0.2%
17000 1
0.2%
18300 1
0.2%
20000 2
0.4%
22000 1
0.2%
24000 1
0.2%
25000 6
1.3%
27000 1
0.2%
30000 7
1.5%
30400 1
0.2%
30700 1
0.2%
32000 2
0.4%
33000 1
0.2%
35000 4
0.9%
35125 1
0.2%
38400 1
0.2%
40000 8
1.7%
42000 1
0.2%
45000 3
0.7%
47950 1
0.2%
50000 17
3.7%
53000 1
0.2%
54000 1
0.2%
55000 2
0.4%
56500 1
0.2%
58000 2
0.4%
60000 3
0.7%
62000 1
0.2%
65000 1
0.2%
70000 4
0.9%
75000 3
0.7%
77200 1
0.2%
78500 1
0.2%
80000 3
0.7%
90000 7
1.5%
91500 1
0.2%
95000 1
0.2%
97000 1
0.2%
100000 17
3.7%
105000 2
0.4%
110000 2
0.4%
115000 1
0.2%
120000 5
1.1%
130000 1
0.2%
135000 1
0.2%
140000 1
0.2%
150000 11
2.4%
160000 1
0.2%
170000 3
0.7%
171000 1
0.2%
175000 1
0.2%
180000 2
0.4%
182500 1
0.2%
186000 1
0.2%
190000 3
0.7%
196000 1
0.2%
200000 15
3.3%
210000 1
0.2%
215000 1
0.2%
250000 11
2.4%
259200 1
0.2%
280000 1
0.2%
300000 10
2.2%
325000 1
0.2%
330000 2
0.4%
333200 1
0.2%
340000 1
0.2%
350000 2
0.4%
400000 5
1.1%
425000 1
0.2%
450000 1
0.2%
480000 1
0.2%
490000 1
0.2%
500000 15
3.3%
505000 1
0.2%
518400 1
0.2%
550000 1
0.2%
580000 2
0.4%
600000 2
0.4%
650000 1
0.2%
700000 4
0.9%
750000 3
0.7%
800000 11
2.4%
840000 1
0.2%
853078 1
0.2%
900000 2
0.4%
950000 1
0.2%
980000 1
0.2%
1000000 10
2.2%
1020002 1
0.2%
1100000 1
0.2%
1115000 1
0.2%
1186395 1
0.2%
1250000 1
0.2%
1346000 1
0.2%
1350000 1
0.2%
1500000 6
1.3%
1600000 1
0.2%
1700000 2
0.4%
1800000 1
0.2%
1824000 1
0.2%
2000000 13
2.8%
2090000 1
0.2%
2200000 1
0.2%
2284800 1
0.2%
2400000 1
0.2%
2500000 6
1.3%
2515240 1
0.2%
2700000 1
0.2%
2780000 1
0.2%
2800000 1
0.2%
2970000 1
0.2%
3000000 14
3%
3100000 1
0.2%
3170000 1
0.2%
3250000 2
0.4%
3395000 1
0.2%
3400000 4
0.9%
3500000 6
1.3%
3750000 1
0.2%
3800000 2
0.4%
4000000 5
1.1%
4200000 1
0.2%
4250000 1
0.2%
4300000 1
0.2%
4322200 1
0.2%
4500000 3
0.7%
4600000 1
0.2%
4900000 1
0.2%
5000000 4
0.9%
5200000 1
0.2%
5273000 1
0.2%
5826300 1
0.2%
5997695 1
0.2%
6000000 2
0.4%
6250000 1
0.2%
6300000 1
0.2%
6500000 3
0.7%
7000000 5
1.1%
7200000 1
0.2%
7500000 1
0.2%
8000000 3
0.7%
9180000 1
0.2%
9500800 1
0.2%
10000000 2
0.4%
11000000 1
0.2%
11520000 1
0.2%
12500000 1
0.2%
14000000 1
0.2%
14400000 1
0.2%
14570900 1
0.2%
15000000 2
0.4%
19430000 1
0.2%
19783000 1
0.2%
20000000 4
0.9%
21700000 1
0.2%
28000000 1
0.2%
31000000 1
0.2%
32400000 1
0.2%
34000000 1
0.2%
34748397 1
0.2%
48000000 1
0.2%
70000000 1
0.2%
75000000 1
0.2%
120688000 1
0.2%
162000000 1
0.2%
175000000 1
0.2%
177581765 1
0.2%
500000000 1
0.2%
1000000000 1
0.2%
3000000000 2
0.4%
156000000000 1
0.2%
Sysmiss 138
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
This question is designed to ascertain the market value of the establishment's assets. Data on equipment is the most important. You can ask the manager to estimate the market value if all of the equipment, land and buildings were sold on the open market. If the respondent states that there is no market, ask how much the respondent would be willing to pay for the capital, knowing what it can produce in its current condition. Estimate how much it would cost to buy machinery in the current market which is similar in terms of age and characteristics. This estimate is to give an indication of the capital intensity of the firm. Keep in mind that it is one of the most important questions on the questionnaire.
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