Enterprise Survey 2007
Ghana, 2007
Created on
Feb 13, 2013
Last modified
Dec 05, 2013
Page views
509696
Downloads
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- Data files
-
Ghana-2007--full
data-1
machinery & equipment mv (n7a)
Data file: Ghana-2007--full data-1
Overview
Valid:
414
Invalid:
202
Type:
Discrete
Decimal:
0
Start:
1311
End:
1323
Width:
13
Range:
-9 - 1389190000000
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
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 | 16 |
3.9%
|
|
| 360000 | 2 |
0.5%
|
|
| 500000 | 1 |
0.2%
|
|
| 560000 | 1 |
0.2%
|
|
| 600000 | 2 |
0.5%
|
|
| 680000 | 1 |
0.2%
|
|
| 800000 | 2 |
0.5%
|
|
| 855000 | 1 |
0.2%
|
|
| 970000 | 1 |
0.2%
|
|
| 1000000 | 4 |
1%
|
|
| 1050000 | 1 |
0.2%
|
|
| 1200000 | 1 |
0.2%
|
|
| 1300000 | 1 |
0.2%
|
|
| 1370000 | 1 |
0.2%
|
|
| 1500000 | 4 |
1%
|
|
| 2000000 | 4 |
1%
|
|
| 2340000 | 1 |
0.2%
|
|
| 2400000 | 2 |
0.5%
|
|
| 2500000 | 3 |
0.7%
|
|
| 2600000 | 1 |
0.2%
|
|
| 2800000 | 1 |
0.2%
|
|
| 3000000 | 7 |
1.7%
|
|
| 3500000 | 3 |
0.7%
|
|
| 3600000 | 1 |
0.2%
|
|
| 3800000 | 1 |
0.2%
|
|
| 3850000 | 1 |
0.2%
|
|
| 4000000 | 7 |
1.7%
|
|
| 4200000 | 1 |
0.2%
|
|
| 4500000 | 1 |
0.2%
|
|
| 4700000 | 1 |
0.2%
|
|
| 4800000 | 2 |
0.5%
|
|
| 4828500 | 1 |
0.2%
|
|
| 5000000 | 14 |
3.4%
|
|
| 5400000 | 1 |
0.2%
|
|
| 6000000 | 8 |
1.9%
|
|
| 6600000 | 1 |
0.2%
|
|
| 7000000 | 3 |
0.7%
|
|
| 7350000 | 1 |
0.2%
|
|
| 7450000 | 1 |
0.2%
|
|
| 7500000 | 3 |
0.7%
|
|
| 8000000 | 6 |
1.4%
|
|
| 8200000 | 1 |
0.2%
|
|
| 8400000 | 1 |
0.2%
|
|
| 8500000 | 1 |
0.2%
|
|
| 9000000 | 1 |
0.2%
|
|
| 10000000 | 10 |
2.4%
|
|
| 10100000 | 1 |
0.2%
|
|
| 11600000 | 1 |
0.2%
|
|
| 12000000 | 4 |
1%
|
|
| 12500000 | 1 |
0.2%
|
|
| 12600000 | 1 |
0.2%
|
|
| 13000000 | 2 |
0.5%
|
|
| 13300000 | 1 |
0.2%
|
|
| 14000000 | 2 |
0.5%
|
|
| 14500000 | 1 |
0.2%
|
|
| 15000000 | 12 |
2.9%
|
|
| 16000000 | 1 |
0.2%
|
|
| 17000000 | 1 |
0.2%
|
|
| 17500000 | 1 |
0.2%
|
|
| 18000000 | 6 |
1.4%
|
|
| 18500000 | 1 |
0.2%
|
|
| 19500000 | 1 |
0.2%
|
|
| 19564000 | 1 |
0.2%
|
|
| 20000000 | 13 |
3.1%
|
|
| 21400000 | 1 |
0.2%
|
|
| 22000000 | 3 |
0.7%
|
|
| 23000000 | 1 |
0.2%
|
|
| 23500000 | 1 |
0.2%
|
|
| 24000000 | 2 |
0.5%
|
|
| 24400000 | 1 |
0.2%
|
|
| 25000000 | 12 |
2.9%
|
|
| 25800000 | 1 |
0.2%
|
|
| 26000000 | 1 |
0.2%
|
|
| 27000000 | 1 |
0.2%
|
|
| 28000000 | 3 |
0.7%
|
|
| 30000000 | 8 |
1.9%
|
|
| 33000000 | 1 |
0.2%
|
|
| 34500000 | 1 |
0.2%
|
|
| 35000000 | 6 |
1.4%
|
|
| 36000000 | 1 |
0.2%
|
|
| 37000000 | 1 |
0.2%
|
|
| 37500000 | 1 |
0.2%
|
|
| 39000000 | 1 |
0.2%
|
|
| 40000000 | 2 |
0.5%
|
|
| 41000000 | 1 |
0.2%
|
|
| 41500000 | 1 |
0.2%
|
|
| 42000000 | 2 |
0.5%
|
|
| 43000000 | 1 |
0.2%
|
|
| 44000000 | 1 |
0.2%
|
|
| 45000000 | 8 |
1.9%
|
|
| 47400000 | 1 |
0.2%
|
|
| 47500000 | 1 |
0.2%
|
|
| 50000000 | 7 |
1.7%
|
|
| 53000000 | 1 |
0.2%
|
|
| 54000000 | 1 |
0.2%
|
|
| 55000000 | 2 |
0.5%
|
|
| 56000000 | 1 |
0.2%
|
|
| 60000000 | 5 |
1.2%
|
|
| 70000000 | 2 |
0.5%
|
|
| 72000000 | 2 |
0.5%
|
|
| 74500000 | 1 |
0.2%
|
|
| 75000000 | 4 |
1%
|
|
| 78000000 | 1 |
0.2%
|
|
| 80000000 | 9 |
2.2%
|
|
| 81000000 | 1 |
0.2%
|
|
| 84000000 | 1 |
0.2%
|
|
| 84900000 | 1 |
0.2%
|
|
| 89700000 | 1 |
0.2%
|
|
| 90000000 | 6 |
1.4%
|
|
| 95500000 | 1 |
0.2%
|
|
| 100000000 | 10 |
2.4%
|
|
| 105000000 | 1 |
0.2%
|
|
| 112000000 | 1 |
0.2%
|
|
| 120000000 | 1 |
0.2%
|
|
| 124300000 | 1 |
0.2%
|
|
| 126000000 | 1 |
0.2%
|
|
| 128000000 | 1 |
0.2%
|
|
| 130000000 | 4 |
1%
|
|
| 135000000 | 1 |
0.2%
|
|
| 140000000 | 2 |
0.5%
|
|
| 150000000 | 12 |
2.9%
|
|
| 160000000 | 5 |
1.2%
|
|
| 196000000 | 1 |
0.2%
|
|
| 200000000 | 4 |
1%
|
|
| 210000000 | 1 |
0.2%
|
|
| 245000000 | 1 |
0.2%
|
|
| 250000000 | 5 |
1.2%
|
|
| 300000000 | 7 |
1.7%
|
|
| 320000000 | 2 |
0.5%
|
|
| 340000000 | 1 |
0.2%
|
|
| 350000000 | 1 |
0.2%
|
|
| 370000000 | 1 |
0.2%
|
|
| 380000000 | 1 |
0.2%
|
|
| 400000000 | 4 |
1%
|
|
| 407000000 | 1 |
0.2%
|
|
| 485000000 | 1 |
0.2%
|
|
| 500000000 | 2 |
0.5%
|
|
| 530000000 | 1 |
0.2%
|
|
| 600000000 | 2 |
0.5%
|
|
| 620000000 | 1 |
0.2%
|
|
| 650000000 | 1 |
0.2%
|
|
| 700000000 | 3 |
0.7%
|
|
| 782000000 | 1 |
0.2%
|
|
| 800000000 | 1 |
0.2%
|
|
| 820000000 | 1 |
0.2%
|
|
| 870400000 | 1 |
0.2%
|
|
| 900000000 | 2 |
0.5%
|
|
| 1000000000 | 1 |
0.2%
|
|
| 1500000000 | 2 |
0.5%
|
|
| 1600000000 | 1 |
0.2%
|
|
| 1800000000 | 3 |
0.7%
|
|
| 1900000000 | 1 |
0.2%
|
|
| 2100000000 | 1 |
0.2%
|
|
| 2200000000 | 1 |
0.2%
|
|
| 2300000000 | 1 |
0.2%
|
|
| 2500000000 | 1 |
0.2%
|
|
| 3000000000 | 1 |
0.2%
|
|
| 4200000000 | 1 |
0.2%
|
|
| 4455000000 | 1 |
0.2%
|
|
| 5000000000 | 1 |
0.2%
|
|
| 6500000000 | 1 |
0.2%
|
|
| 10600000000 | 1 |
0.2%
|
|
| 11050000000 | 1 |
0.2%
|
|
| 12000000000 | 1 |
0.2%
|
|
| 13439638000 | 1 |
0.2%
|
|
| 15000000000 | 1 |
0.2%
|
|
| 30000000000 | 1 |
0.2%
|
|
| 37207540000 | 1 |
0.2%
|
|
| 45000000000 | 1 |
0.2%
|
|
| 50000000000 | 1 |
0.2%
|
|
| 60000000000 | 1 |
0.2%
|
|
| 63000000000 | 1 |
0.2%
|
|
| 86000000000 | 1 |
0.2%
|
|
| 93700000000 | 1 |
0.2%
|
|
| 108434000000 | 1 |
0.2%
|
|
| 150000000000 | 1 |
0.2%
|
|
| 188800000000 | 1 |
0.2%
|
|
| 200000000000 | 1 |
0.2%
|
|
| 1389190000000 | 1 |
0.2%
|
|
| Sysmiss | 202 |
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.