Multiple Indicator Cluster Survey 2008
Mozambique, 2008
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
1165
All machinery, vehicules and equipment that you use (whether (l6a)
Data file: Uganda2006_manufacturing_clean
Overview
Valid:
307
Invalid:
0
Type:
Discrete
Decimal:
0
Format:
Questions and instructions
Literal question
In 2005, if you had needed to purchase the following in its condition at that time, how much would it have cost?
All machinery, vehicles and equipment that you use (whether you own it or not)
All machinery, vehicles and equipment that you use (whether you own it or not)
Categories
| Value | Category |
|---|---|
| 500000 | |
| 600000 | |
| 800000 | |
| 1000000 | |
| 1500000 | |
| 1700000 | |
| 2000000 | |
| 2060000 | |
| 2300000 | |
| 2500000 | |
| 2800000 | |
| 3000000 | |
| 3100000 | |
| 3500000 | |
| 3600000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 6100000 | |
| 7000000 | |
| 7500000 | |
| 7800000 | |
| 8000000 | |
| 8270000 | |
| 10000000 | |
| 12000000 | |
| 12700000 | |
| 13000000 | |
| 13200000 | |
| 14000000 | |
| 14200000 | |
| 15000000 | |
| 16000000 | |
| 17500000 | |
| 19000000 | |
| 20000000 | |
| 20070000 | |
| 21300000 | |
| 22000000 | |
| 24000000 | |
| 24500000 | |
| 25000000 | |
| 27500000 | |
| 30000000 | |
| 31000000 | |
| 32000000 | |
| 35000000 | |
| 36000000 | |
| 40000000 | |
| 45000000 | |
| 46000000 | |
| 48000000 | |
| 50000000 | |
| 53750000 | |
| 55000000 | |
| 55300000 | |
| 56800000 | |
| 57000000 | |
| 60000000 | |
| 67000000 | |
| 70000000 | |
| 75000000 | |
| 76000000 | |
| 80000000 | |
| 85000000 | |
| 90000000 | |
| 92000000 | |
| 92730000 | |
| 92740000 | |
| 94540000 | |
| 94846000 | |
| 96230000 | |
| 96855000 | |
| 96876000 | |
| 100000000 | |
| 105522000 | |
| 108000000 | |
| 110000000 | |
| 112000000 | |
| 120000000 | |
| 125000000 | |
| 130000000 | |
| 140000000 | |
| 150000000 | |
| 160000000 | |
| 170000000 | |
| 175000000 | |
| 180000000 | |
| 190000000 | |
| 192000000 | |
| 200000000 | |
| 220000000 | |
| 240530000 | |
| 250000000 | |
| 260000000 | |
| 270000000 | |
| 280780000 | |
| 295000000 | |
| 300000000 | |
| 350000000 | |
| 380000000 | |
| 396000000 | |
| 400000000 | |
| 425000000 | |
| 450000000 | |
| 480000000 | |
| 490000000 | |
| 500000000 | |
| 520000000 | |
| 520320000 | |
| 525000000 | |
| 550000000 | |
| 600000000 | |
| 650000000 | |
| 700000000 | |
| 720000000 | |
| 800000000 | |
| 809000000 | |
| 900000000 | |
| 955000000 | |
| 1000000000 | |
| 1200000000 | |
| 1440000000 | |
| 1500000000 | |
| 1700000000 | |
| 2000000000 | |
| 2100000000 | |
| 2500000000 | |
| 3000000000 | |
| 3530862080 | |
| 3700000000 | |
| 3800000000 | |
| 4000000000 | |
| 5000000000 | |
| 6000000000 | |
| 7500000256 | |
| 8725000192 | |
| 13688999936 | |
| 15000000512 | |
| 27000000512 | |
| 27750000640 | |
| 108100001792 |
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.