Household Budget Survey 2011-2012
Tanzania, 2011 - 2012
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
Page views
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- Data files
- DIARYCF
- SECT1
- SECT2
- SECT2Q27
- SECT2Q31
- SECT3Q1
- SECT4A
- SECT4B
- SECT5
- SECT6Q1
- SECT6Q7
- SECT6Q15
- SECT6Q19
- SECT7Q1
- SECT7Q5
- SECT7Q9
- SECT7Q11
- SECT7Q13
- SECT7Q15
- SECT8Q2
- SECT8Q4
- SECT8Q6
- SECT10
- SECT11
- SECT12
- SECT13
- SECT13Q19
- SECT14
- SECT15
- SECT16
- SECT17
- SECT18A
- SECT18B
- SECT19A
- SECT19B
- SECT20
- SECT21A
- SECT21B
- SECTA1
- SECTA2
- SECTB1
- SECTB2
- SECTB3
- SECTB4
- SECTCF
Q8.6 How much did you spend on fuel and lubricants during th (S13Q8_6)
Data file: SECT13
Overview
Valid:
4336
Invalid:
267
Type:
Discrete
Decimal:
0
Start:
266
End:
274
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
How much did you spend on these inputs during the last one month?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 100 | |
| 200 | |
| 300 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1500 | |
| 1700 | |
| 1800 | |
| 2000 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3500 | |
| 3600 | |
| 4000 | |
| 4100 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9950 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 30000 | |
| 40000 | |
| 42000 | |
| 46000 | |
| 50000 | |
| 58000 | |
| 60000 | |
| 65000 | |
| 65100 | |
| 65250 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 83000 | |
| 90500 | |
| 90800 | |
| 100000 | |
| 104000 | |
| 110000 | |
| 111000 | |
| 115000 | |
| 117600 | |
| 118500 | |
| 120000 | |
| 129000 | |
| 135000 | |
| 150000 | |
| 156000 | |
| 170000 | |
| 170500 | |
| 180000 | |
| 189500 | |
| 200000 | |
| 240000 | |
| 264500 | |
| 300000 | |
| 360000 | |
| 400000 | |
| 550000 | |
| 640000 | |
| 880000 | |
| 1120000 | |
| 999999999 | Not stated |
| Sysmiss |
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.