Enterprise Survey 2006
Uganda, 2006
Get Microdata
Reference ID
UGA_2006_ES_v01_M_WB
Producer(s)
World Bank
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
51060
Downloads
1373
In 2005, what would have been the cost of replacing all your (l7)
Data file: Uganda2006_manufacturing_clean
Overview
Valid:
307
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
1703
End:
1714
Width:
12
Format:
Questions and instructions
Literal question
In 2005, what would have been the cost of replacing all your machinery and equipment with new machines?
Categories
| Value | Category |
|---|---|
| -66 | |
| 1000000 | |
| 1800000 | |
| 2500000 | |
| 3000000 | |
| 3500000 | |
| 4000000 | |
| 5000000 | |
| 6000000 | |
| 6400000 | |
| 7000000 | |
| 8000000 | |
| 8200000 | |
| 8500000 | |
| 9000000 | |
| 9400000 | |
| 9500000 | |
| 10000000 | |
| 12500000 | |
| 14000000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 17800000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 24000000 | |
| 25000000 | |
| 30000000 | |
| 33000000 | |
| 35000000 | |
| 38000000 | |
| 40000000 | |
| 45000000 | |
| 50000000 | |
| 53500000 | |
| 55500000 | |
| 56000000 | |
| 60000000 | |
| 65000000 | |
| 70000000 | |
| 75000000 | |
| 80000000 | |
| 81500000 | |
| 85000000 | |
| 86162000 | |
| 89000000 | |
| 90000000 | |
| 95000000 | |
| 100000000 | |
| 110000000 | |
| 115230000 | |
| 116450000 | |
| 120000000 | |
| 120470000 | |
| 120544000 | |
| 122000000 | |
| 125000000 | |
| 130000000 | |
| 130420000 | |
| 132000000 | |
| 136000000 | |
| 140000000 | |
| 150000000 | |
| 151000000 | |
| 154000000 | |
| 165000000 | |
| 170000000 | |
| 180000000 | |
| 185000000 | |
| 200000000 | |
| 210000000 | |
| 210740000 | |
| 220000000 | |
| 230000000 | |
| 240170000 | |
| 250000000 | |
| 270000000 | |
| 270535008 | |
| 280000000 | |
| 300000000 | |
| 320000000 | |
| 350000000 | |
| 370000000 | |
| 400000000 | |
| 430000000 | |
| 450000000 | |
| 480000000 | |
| 500000000 | |
| 500270016 | |
| 540000000 | |
| 555000000 | |
| 600000000 | |
| 680000000 | |
| 700000000 | |
| 720000000 | |
| 750000000 | |
| 776000000 | |
| 800000000 | |
| 850000000 | |
| 900000000 | |
| 930000000 | |
| 942000000 | |
| 950000000 | |
| 1000000000 | |
| 1100000000 | |
| 1200000000 | |
| 1300000000 | |
| 1400000000 | |
| 1440000000 | |
| 1500000000 | |
| 1700000000 | |
| 1740000000 | |
| 2000000000 | |
| 2400000000 | |
| 2500000000 | |
| 2800000000 | |
| 2880000000 | |
| 3000000000 | |
| 3500000000 | |
| 3700000000 | |
| 5000000000 | |
| 6503000064 | |
| 7000000000 | |
| 8000000000 | |
| 8400000000 | |
| 8999999488 | |
| 9500000256 | |
| 12000000000 | |
| 16000000000 | |
| 24999999488 | |
| 35000000512 | |
| 46250000384 | |
| 73999998976 | |
| 113700003840 |
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.