Household Budget Survey 2011-2012
Tanzania, 2011 - 2012
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
Page views
175125
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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
Q8d.School books (S7Q8D)
Data file: SECT2
Overview
Valid:
9006
Invalid:
1180
Minimum:
0
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
993
End:
999
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
Did your household make expenditures for the specified items in the last 3 months?
Categories
| Value | Category |
|---|---|
| 0 | |
| 100 | |
| 200 | |
| 300 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1050 | |
| 1200 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1800 | |
| 2000 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 3000 | |
| 3300 | |
| 3350 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5250 | |
| 5400 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8300 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11100 | |
| 11500 | |
| 12000 | |
| 12100 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15600 | |
| 16000 | |
| 17000 | |
| 17200 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22100 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28400 | |
| 28500 | |
| 29500 | |
| 30000 | |
| 32000 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 37800 | |
| 39000 | |
| 39600 | |
| 40000 | |
| 42000 | |
| 42900 | |
| 43000 | |
| 43500 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 48300 | |
| 49000 | |
| 50000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 55500 | |
| 58000 | |
| 60000 | |
| 62500 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 88000 | |
| 90000 | |
| 100000 | |
| 120000 | |
| 123000 | |
| 130000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 240000 | |
| 250000 | |
| 300000 | |
| 351000 | |
| 400000 | |
| 540000 | |
| 550000 | |
| 950000 | |
| 1000000 | |
| 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.