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
Q8a.2c Costs of 2nd major raw materials purchased correspon (S13Q8A_2C)
Data file: SECT13
Overview
Valid:
744
Invalid:
3859
Type:
Discrete
Decimal:
0
Start:
567
End:
575
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 | |
| 150 | |
| 200 | |
| 280 | |
| 500 | |
| 600 | |
| 650 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2800 | |
| 3000 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 4000 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5600 | |
| 6000 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8100 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9600 | |
| 9800 | |
| 10000 | |
| 11000 | |
| 11200 | |
| 11400 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13820 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 15600 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 19500 | |
| 19600 | |
| 20000 | |
| 21000 | |
| 21400 | |
| 21600 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23200 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 28800 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30200 | |
| 31500 | |
| 32000 | |
| 32200 | |
| 32500 | |
| 33000 | |
| 33600 | |
| 35000 | |
| 35200 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38250 | |
| 39000 | |
| 39200 | |
| 39600 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 49500 | |
| 50000 | |
| 50400 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56400 | |
| 57000 | |
| 58000 | |
| 60000 | |
| 61600 | |
| 64800 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 78000 | |
| 79200 | |
| 80000 | |
| 82500 | |
| 84000 | |
| 85000 | |
| 88000 | |
| 90000 | |
| 91000 | |
| 96000 | |
| 98000 | |
| 100000 | |
| 100800 | |
| 102000 | |
| 102400 | |
| 108000 | |
| 109200 | |
| 110000 | |
| 112000 | |
| 120000 | |
| 130000 | |
| 132000 | |
| 133900 | |
| 135000 | |
| 136000 | |
| 140000 | |
| 140500 | |
| 142000 | |
| 144000 | |
| 150000 | |
| 156000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 195000 | |
| 198000 | |
| 200000 | |
| 204000 | |
| 210000 | |
| 216000 | |
| 220000 | |
| 228000 | |
| 240000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 300000 | |
| 330000 | |
| 350000 | |
| 360000 | |
| 400000 | |
| 414000 | |
| 450000 | |
| 455000 | |
| 470000 | |
| 500000 | |
| 520000 | |
| 562500 | |
| 570000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 700000 | |
| 720000 | |
| 840000 | |
| 1000000 | |
| 1540000 | |
| 2000000 | |
| 3000000 | |
| 7000000 | |
| 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.