Household Budget Survey 2011-2012
Tanzania, 2011 - 2012
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
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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
Q10.Expenditures in T.shs. (S7Q10)
Data file: SECT7Q9
Overview
Valid:
843
Invalid:
2847
Minimum:
0
Maximum:
9000000
Type:
Discrete
Decimal:
0
Start:
53
End:
59
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
Amount paid (TSH)
Categories
| Value | Category |
|---|---|
| 0 | |
| 500 | |
| 1000 | |
| 1600 | |
| 2000 | |
| 2050 | |
| 2500 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 5200 | |
| 5500 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 30000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 60000 | |
| 61000 | |
| 64000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 91000 | |
| 95000 | |
| 96000 | |
| 96500 | |
| 99000 | |
| 100000 | |
| 105000 | |
| 106000 | |
| 106500 | |
| 110000 | |
| 120000 | |
| 122000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 189000 | |
| 195000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 270000 | |
| 280000 | |
| 284000 | |
| 300000 | |
| 320000 | |
| 330000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 450000 | |
| 460000 | |
| 480000 | |
| 495000 | |
| 500000 | |
| 520000 | |
| 530000 | |
| 550000 | |
| 600000 | |
| 630000 | |
| 640000 | |
| 650000 | |
| 655400 | |
| 680000 | |
| 700000 | |
| 714500 | |
| 728000 | |
| 730000 | |
| 735000 | |
| 750000 | |
| 800000 | |
| 850000 | |
| 870000 | |
| 900000 | |
| 920000 | |
| 950000 | |
| 960000 | |
| 1000000 | |
| 1015000 | |
| 1040000 | |
| 1050000 | |
| 1100000 | |
| 1197000 | |
| 1200000 | |
| 1300000 | |
| 1312000 | |
| 1350000 | |
| 1400000 | |
| 1440000 | |
| 1475000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1800000 | |
| 1900000 | |
| 1920000 | |
| 1980000 | |
| 2000000 | |
| 2100000 | |
| 2150000 | |
| 2300000 | |
| 2500000 | |
| 2700000 | |
| 3000000 | |
| 3050000 | |
| 3200000 | |
| 3400000 | |
| 4000000 | |
| 5000000 | |
| 5100000 | |
| 6200000 | |
| 7500000 | |
| 9000000 | |
| 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.