Impact Evaluation of Scaling-up Handwashing and Rural Sanitation Behavior Projects in Tanzania 2012
Tanzania, 2012
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Mar 13, 2015
Last modified
Mar 29, 2019
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How much did it cost your household to build or buy your dwelling? (T_6_16A)
Data file: household
Overview
Valid:
3241
Invalid:
483
Type:
Discrete
Decimal:
0
Start:
1151
End:
1158
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
How much did it cost your household to build or buy your dwelling?
Categories
| Value | Category |
|---|---|
| -99 | DON’T KNOW |
| -98 | BUILD IT OURSELVES |
| -97 | INHERITED/RECEIVED FOR FREE |
| 0 | |
| 8 | |
| 170 | |
| 800 | |
| 2500 | |
| 3000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 46000 | |
| 50000 | |
| 52500 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 60000 | |
| 64000 | |
| 65000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 75400 | |
| 76000 | |
| 78000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 96000 | |
| 100000 | |
| 101000 | |
| 102000 | |
| 105000 | |
| 107000 | |
| 110000 | |
| 113000 | |
| 115000 | |
| 118000 | |
| 119000 | |
| 120000 | |
| 124500 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 134400 | |
| 140000 | |
| 141000 | |
| 145000 | |
| 146000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 162000 | |
| 165000 | |
| 169200 | |
| 170000 | |
| 174000 | |
| 175000 | |
| 178000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 192000 | |
| 195000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 213000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 242000 | |
| 250000 | |
| 255000 | |
| 256000 | |
| 257000 | |
| 260000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 282000 | |
| 290000 | |
| 295000 | |
| 300000 | |
| 310000 | |
| 318000 | |
| 320000 | |
| 322000 | |
| 330000 | |
| 340000 | |
| 348000 | |
| 350000 | |
| 356000 | |
| 360000 | |
| 370000 | |
| 375000 | |
| 380000 | |
| 384000 | |
| 390000 | |
| 400000 | |
| 405000 | |
| 420000 | |
| 425000 | |
| 426000 | |
| 430000 | |
| 435000 | |
| 450000 | |
| 462000 | |
| 470000 | |
| 472000 | |
| 474000 | |
| 475000 | |
| 480000 | |
| 480500 | |
| 485000 | |
| 493000 | |
| 500000 | |
| 503500 | |
| 507000 | |
| 525000 | |
| 550000 | |
| 556800 | |
| 564000 | |
| 570000 | |
| 580000 | |
| 588000 | |
| 589000 | |
| 600000 | |
| 611000 | |
| 620000 | |
| 635000 | |
| 650000 | |
| 680000 | |
| 684000 | |
| 700000 | |
| 733000 | |
| 745000 | |
| 750000 | |
| 780000 | |
| 800000 | |
| 850000 | |
| 870000 | |
| 900000 | |
| 922000 | |
| 950000 | |
| 980000 | |
| 1000000 | |
| 1020000 | |
| 1046500 | |
| 1050000 | |
| 1060000 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1250000 | |
| 1257000 | |
| 1270000 | |
| 1280000 | |
| 1300000 | |
| 1305000 | |
| 1320000 | |
| 1360000 | |
| 1400000 | |
| 1500000 | |
| 1560000 | |
| 1600000 | |
| 1700000 | |
| 1800000 | |
| 1850000 | |
| 2000000 | |
| 2050000 | |
| 2300000 | |
| 2500000 | |
| 2600000 | |
| 2700000 | |
| 3000000 | |
| 3500000 | |
| 3700000 | |
| 4000000 | |
| 4800000 | |
| 5000000 | |
| 6000000 | |
| 6252300 | |
| 7000000 | |
| 7500000 | |
| 8000000 | |
| 9000000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 14000000 | |
| 15000000 | |
| 17000000 | |
| 20000000 | |
| 23000000 | |
| 25000000 | |
| 30000000 | |
| 35000000 | |
| 40000000 | |
| 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.