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
24360
Downloads
1155
All machinery, vehicules and equipment that you use (whether (l6a)
Data file: Uganda2006_manufacturing_clean
Overview
Valid:
307
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
1680
End:
1691
Width:
12
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.