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    Home / Central Data Catalog / TZA_2006_ES_V01_M_WB / variable [F1]
central

Enterprise Survey 2006

Tanzania, 2006
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Reference ID
TZA_2006_ES_v01_M_WB
Producer(s)
World Bank
Metadata
DDI/XML JSON
Study website Interactive tools
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
91566
Downloads
906
  • Study Description
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  • Data files
  • Tanzania2006_manufacturing_clean
  • Tanzania2006_retail_and_it_clean
  • Tanzania2006_residual_clean

All machinery, vehicules and equipment that you use (whether (l6a)

Data file: Tanzania2006_manufacturing_clean

Overview

Valid: 273
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1580
End: 1591
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)
Categories
Value Category
0
120000
280000
400000
500000
640000
650000
700000
750000
800000
950000
1000000
1159000
1200000
1480000
1500000
1600000
1800000
1840000
2000000
2160000
2500000
3000000
3080000
3500000
3668000
3770000
4000000
5000000
5500000
5900000
6000000
6500000
7000000
7400000
8000000
8200000
8500000
9000000
9200000
10000000
11000000
12000000
14580000
15000000
16000000
19500000
20000000
21000000
22000000
22800000
23000000
23800000
24000000
24800000
25000000
26000000
28000000
29500000
30000000
35000000
36000000
36200000
40000000
42000000
50000000
55000000
55750000
57000000
60000000
65000000
70000000
80000000
85000000
90000000
92600000
99000000
100000000
112000000
114300000
120000000
120500000
129000000
130000000
145000000
150000000
154000000
160000000
180000000
190000000
200000000
213000000
220000000
240000000
250000000
254000000
260000000
300000000
350000000
400000000
410000000
450000000
500000000
516000000
580000000
600000000
613000000
616000000
650000000
665000000
720000000
750000000
782000000
800000000
816499968
900000000
920000000
980000000
1000000000
1020480000
1132000000
1200000000
1300000000
1430000000
1500000000
1650000000
1700000000
1900000000
1950000000
2000000000
2400000000
2500000000
2529999872
2649999872
2900000000
3000000000
3200000000
3600000000
4000000000
4200000000
4300000256
4499999744
5000000000
6000000000
8000500224
8018999808
8800000000
8999999488
9358470144
9750836224
12000000000
14019000320
15000000512
15059000320
15728360448
16000000000
35000000512
54999998464
599999971328
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.
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