Household Budget Survey 2011-2012
Tanzania, 2011 - 2012
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
Page views
151455
Downloads
24163
- 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
Q8.25 How much did you spend on costs of raw materials durin (S13Q8_25)
Data file: SECT13
Overview
Valid:
4368
Invalid:
235
Type:
Discrete
Decimal:
0
Start:
437
End:
445
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 | |
| 500 | |
| 600 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 3000 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 4000 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5500 | |
| 5600 | |
| 5650 | |
| 5700 | |
| 5750 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6350 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7400 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9200 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10200 | |
| 10600 | |
| 10700 | |
| 10800 | |
| 11000 | |
| 11300 | |
| 11600 | |
| 12000 | |
| 12100 | |
| 12400 | |
| 12500 | |
| 12600 | |
| 12800 | |
| 12900 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 15000 | |
| 15300 | |
| 15800 | |
| 16000 | |
| 16400 | |
| 16500 | |
| 16700 | |
| 17000 | |
| 17400 | |
| 17640 | |
| 17700 | |
| 18000 | |
| 18750 | |
| 19000 | |
| 19400 | |
| 20000 | |
| 20550 | |
| 20600 | |
| 20800 | |
| 21000 | |
| 21900 | |
| 22000 | |
| 22300 | |
| 22500 | |
| 24000 | |
| 24280 | |
| 24500 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27810 | |
| 28000 | |
| 28400 | |
| 28500 | |
| 28800 | |
| 29000 | |
| 30000 | |
| 30250 | |
| 31000 | |
| 31400 | |
| 31800 | |
| 32000 | |
| 32800 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35200 | |
| 35600 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39600 | |
| 40000 | |
| 40200 | |
| 41000 | |
| 42000 | |
| 42200 | |
| 42400 | |
| 43000 | |
| 43600 | |
| 44000 | |
| 44500 | |
| 45000 | |
| 45600 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 49875 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53500 | |
| 54000 | |
| 54800 | |
| 55000 | |
| 55500 | |
| 56000 | |
| 57000 | |
| 57350 | |
| 59400 | |
| 60000 | |
| 61200 | |
| 62000 | |
| 63000 | |
| 63400 | |
| 63500 | |
| 63600 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 67100 | |
| 67200 | |
| 68000 | |
| 68400 | |
| 70000 | |
| 70600 | |
| 72000 | |
| 73000 | |
| 73200 | |
| 75000 | |
| 76000 | |
| 76500 | |
| 76800 | |
| 78000 | |
| 79200 | |
| 80000 | |
| 82000 | |
| 82800 | |
| 84000 | |
| 85000 | |
| 85600 | |
| 87000 | |
| 88000 | |
| 88400 | |
| 89500 | |
| 90000 | |
| 91000 | |
| 91200 | |
| 94000 | |
| 96000 | |
| 96300 | |
| 98200 | |
| 99000 | |
| 100000 | |
| 102000 | |
| 102200 | |
| 105000 | |
| 106000 | |
| 108000 | |
| 109000 | |
| 109500 | |
| 111000 | |
| 112000 | |
| 113000 | |
| 113400 | |
| 114000 | |
| 116000 | |
| 117000 | |
| 119000 | |
| 120000 | |
| 122400 | |
| 122500 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 125300 | |
| 129000 | |
| 130000 | |
| 132000 | |
| 133000 | |
| 133500 | |
| 134100 | |
| 135000 | |
| 137000 | |
| 137600 | |
| 138000 | |
| 138600 | |
| 139500 | |
| 140000 | |
| 141000 | |
| 142000 | |
| 143500 | |
| 144000 | |
| 146000 | |
| 147000 | |
| 147200 | |
| 147400 | |
| 147500 | |
| 150000 | |
| 154000 | |
| 155000 | |
| 155200 | |
| 155500 | |
| 159000 | |
| 160000 | |
| 162000 | |
| 168000 | |
| 170000 | |
| 171000 | |
| 174000 | |
| 175000 | |
| 175200 | |
| 178000 | |
| 180000 | |
| 181500 | |
| 183000 | |
| 185000 | |
| 189000 | |
| 190000 | |
| 192000 | |
| 195000 | |
| 199200 | |
| 200000 | |
| 200380 | |
| 201000 | |
| 204000 | |
| 205000 | |
| 208000 | |
| 209000 | |
| 210000 | |
| 213000 | |
| 216000 | |
| 217500 | |
| 217600 | |
| 220000 | |
| 222000 | |
| 227000 | |
| 230000 | |
| 232900 | |
| 234000 | |
| 235200 | |
| 237000 | |
| 238000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 255600 | |
| 256000 | |
| 262500 | |
| 264000 | |
| 268500 | |
| 270000 | |
| 279000 | |
| 280000 | |
| 281000 | |
| 282000 | |
| 283000 | |
| 284000 | |
| 285600 | |
| 288000 | |
| 288750 | |
| 294000 | |
| 296000 | |
| 297000 | |
| 300000 | |
| 302300 | |
| 303000 | |
| 307500 | |
| 309000 | |
| 310000 | |
| 312000 | |
| 315000 | |
| 318000 | |
| 320000 | |
| 321000 | |
| 335000 | |
| 336000 | |
| 339500 | |
| 342400 | |
| 345000 | |
| 350000 | |
| 360000 | |
| 363000 | |
| 368000 | |
| 370000 | |
| 375000 | |
| 388000 | |
| 389000 | |
| 390000 | |
| 398000 | |
| 400000 | |
| 414000 | |
| 414400 | |
| 415550 | |
| 416000 | |
| 417000 | |
| 420000 | |
| 423000 | |
| 439200 | |
| 440000 | |
| 442000 | |
| 442500 | |
| 450000 | |
| 453000 | |
| 460000 | |
| 463000 | |
| 465000 | |
| 470000 | |
| 480000 | |
| 485000 | |
| 500000 | |
| 505000 | |
| 507000 | |
| 511500 | |
| 530000 | |
| 540000 | |
| 550000 | |
| 558000 | |
| 570000 | |
| 595000 | |
| 600000 | |
| 603000 | |
| 639000 | |
| 640000 | |
| 651000 | |
| 676000 | |
| 680000 | |
| 685500 | |
| 690000 | |
| 700000 | |
| 705000 | |
| 712000 | |
| 729000 | |
| 735000 | |
| 744000 | |
| 780000 | |
| 800000 | |
| 805000 | |
| 810000 | |
| 840000 | |
| 870000 | |
| 888000 | |
| 909000 | |
| 918000 | |
| 920000 | |
| 950000 | |
| 958500 | |
| 1000000 | |
| 1050000 | |
| 1095000 | |
| 1200000 | |
| 1320000 | |
| 1350000 | |
| 1365000 | |
| 1408000 | |
| 1500000 | |
| 1585200 | |
| 1800000 | |
| 1824000 | |
| 1890000 | |
| 2040000 | |
| 2041000 | |
| 2100000 | |
| 2500000 | |
| 3000000 | |
| 3433500 | |
| 3500000 | |
| 3900000 | |
| 4254400 | |
| 4500000 | |
| 5000000 | |
| 6300000 | |
| 7300000 | |
| 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.