Enterprise Survey 2006
Tanzania, 2006
Get Microdata
Reference ID
TZA_2006_ES_v01_M_WB
Producer(s)
World Bank
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
91569
Downloads
906
In 2005, what would have been the cost of replacing all your (l7)
Data file: Tanzania2006_manufacturing_clean
Overview
Valid:
273
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
1603
End:
1614
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 |
|---|---|
| 0 | |
| 500000 | |
| 800000 | |
| 1000000 | |
| 1500000 | |
| 1800000 | |
| 1960000 | |
| 2000000 | |
| 2200000 | |
| 2500000 | |
| 2520000 | |
| 3000000 | |
| 3200000 | |
| 4000000 | |
| 4240000 | |
| 5000000 | |
| 5600000 | |
| 6050000 | |
| 7500000 | |
| 8000000 | |
| 9000000 | |
| 10000000 | |
| 10350000 | |
| 10410000 | |
| 12000000 | |
| 12500000 | |
| 13000000 | |
| 15000000 | |
| 17600000 | |
| 18000000 | |
| 20000000 | |
| 24000000 | |
| 25000000 | |
| 25320000 | |
| 30000000 | |
| 32000000 | |
| 34000000 | |
| 35000000 | |
| 36500000 | |
| 37800000 | |
| 38000000 | |
| 40000000 | |
| 43250000 | |
| 45000000 | |
| 50000000 | |
| 51000000 | |
| 54600000 | |
| 58000000 | |
| 60000000 | |
| 64000000 | |
| 68000000 | |
| 70000000 | |
| 73500000 | |
| 75500000 | |
| 80000000 | |
| 90000000 | |
| 100000000 | |
| 110000000 | |
| 120000000 | |
| 124500000 | |
| 130000000 | |
| 140000000 | |
| 150000000 | |
| 155000000 | |
| 166000000 | |
| 170000000 | |
| 200000000 | |
| 217000000 | |
| 219000000 | |
| 223600000 | |
| 230000000 | |
| 250000000 | |
| 278000000 | |
| 280000000 | |
| 285000000 | |
| 300000000 | |
| 310000000 | |
| 315000000 | |
| 320500000 | |
| 350000000 | |
| 359000000 | |
| 370000000 | |
| 375000000 | |
| 400000000 | |
| 425000000 | |
| 435000000 | |
| 450000000 | |
| 457200000 | |
| 464000000 | |
| 480000000 | |
| 500000000 | |
| 524000000 | |
| 535000000 | |
| 550000000 | |
| 600000000 | |
| 650000000 | |
| 700000000 | |
| 708000000 | |
| 748769984 | |
| 800000000 | |
| 816000000 | |
| 826000000 | |
| 850000000 | |
| 870000000 | |
| 900000000 | |
| 913000000 | |
| 956000000 | |
| 960000000 | |
| 1000000000 | |
| 1100000000 | |
| 1132000000 | |
| 1250000000 | |
| 1280000000 | |
| 1400000000 | |
| 1446000000 | |
| 1500000000 | |
| 1560000000 | |
| 1600000000 | |
| 1658000000 | |
| 1674000000 | |
| 1800000000 | |
| 2000000000 | |
| 2350000128 | |
| 2600000000 | |
| 2800000000 | |
| 2860000000 | |
| 3000000000 | |
| 3400000000 | |
| 3750000128 | |
| 3849999872 | |
| 3900000000 | |
| 4000000000 | |
| 4200000000 | |
| 4800000000 | |
| 5000000000 | |
| 5299999744 | |
| 6000000000 | |
| 6499999744 | |
| 7000000000 | |
| 7500000256 | |
| 10000000000 | |
| 11749999616 | |
| 11840000000 | |
| 12000000000 | |
| 15000000512 | |
| 15299999744 | |
| 16499999744 | |
| 20000000000 | |
| 24999999488 | |
| 27000000512 | |
| 44999999488 | |
| 80000000000 | |
| 660000014336 |
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.