Multiple Indicator Cluster Survey 2008
Mozambique, 2008
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
1167
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
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.