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
Q2b.Formal amount paid by the household fpr public health se (S5Q2B)
Data file: SECT5
Overview
Valid:
56721
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
53
End:
61
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
Formal Pay
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 100 | |
| 150 | |
| 200 | |
| 300 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1080 | |
| 1100 | |
| 1200 | |
| 1280 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 4000 | |
| 4050 | |
| 4200 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5900 | |
| 6000 | |
| 6100 | |
| 6300 | |
| 6500 | |
| 7000 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9300 | |
| 9500 | |
| 9600 | |
| 9800 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 11700 | |
| 12000 | |
| 12500 | |
| 12700 | |
| 13000 | |
| 13500 | |
| 13800 | |
| 14000 | |
| 14800 | |
| 15000 | |
| 15400 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17300 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32500 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 40000 | |
| 40500 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 50660 | |
| 56000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 65000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 75000 | |
| 78500 | |
| 80000 | |
| 83000 | |
| 85000 | |
| 100000 | |
| 104000 | |
| 105000 | |
| 120000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 165000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 230000 | |
| 250000 | |
| 280000 | |
| 300000 | |
| 999999999 | Not stated |
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.