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.1c Costs of 1st major raw materials purchased correspon (S13Q8A_1C)
Data file: SECT13
Overview
Valid:
981
Invalid:
3622
Type:
Discrete
Decimal:
0
Start:
526
End:
534
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 | |
| 400 | |
| 500 | |
| 600 | |
| 1000 | |
| 1200 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1950 | |
| 2000 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3600 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4267 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5600 | |
| 5700 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6600 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10300 | |
| 10400 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13200 | |
| 13400 | |
| 13550 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22400 | |
| 22500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28600 | |
| 29000 | |
| 29600 | |
| 30000 | |
| 31000 | |
| 31180 | |
| 31200 | |
| 31875 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37200 | |
| 37500 | |
| 38250 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 43200 | |
| 45000 | |
| 46000 | |
| 46200 | |
| 48000 | |
| 48400 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56500 | |
| 57000 | |
| 57600 | |
| 58000 | |
| 58500 | |
| 60000 | |
| 62000 | |
| 62400 | |
| 63000 | |
| 64000 | |
| 64400 | |
| 65000 | |
| 66000 | |
| 67200 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 97500 | |
| 99000 | |
| 100000 | |
| 100800 | |
| 102500 | |
| 104000 | |
| 104200 | |
| 105000 | |
| 108000 | |
| 112000 | |
| 114000 | |
| 120000 | |
| 121000 | |
| 124000 | |
| 127000 | |
| 127400 | |
| 130000 | |
| 132000 | |
| 135000 | |
| 140000 | |
| 140500 | |
| 144000 | |
| 150000 | |
| 152000 | |
| 156000 | |
| 160000 | |
| 162000 | |
| 168400 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 186000 | |
| 189000 | |
| 192000 | |
| 198000 | |
| 198750 | |
| 200000 | |
| 210000 | |
| 212800 | |
| 216000 | |
| 224000 | |
| 225000 | |
| 240000 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 270000 | |
| 280000 | |
| 294000 | |
| 300000 | |
| 320000 | |
| 330000 | |
| 335000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 357000 | |
| 360000 | |
| 370000 | |
| 370500 | |
| 373000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 405000 | |
| 420000 | |
| 435500 | |
| 440000 | |
| 450000 | |
| 460000 | |
| 472000 | |
| 480000 | |
| 488000 | |
| 500000 | |
| 507000 | |
| 510000 | |
| 559000 | |
| 560000 | |
| 600000 | |
| 660000 | |
| 673000 | |
| 700000 | |
| 720000 | |
| 760000 | |
| 800000 | |
| 810000 | |
| 900000 | |
| 920000 | |
| 1000000 | |
| 1014000 | |
| 1150000 | |
| 1200000 | |
| 1440000 | |
| 1520000 | |
| 2000000 | |
| 2500000 | |
| 2600000 | |
| 3300000 | |
| 3500000 | |
| 5000000 | |
| 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.