Schooling, Income, and Health Risk Impact Evaluation Household Survey 2007-2008
Malawi, 2007 - 2008
Get MicrodataCreated on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
20524
Downloads
1510
- Data files
- SIHR1_identifers
- SIHR1_PI_S1_public
- SIHR1_PI_S2_public
- SIHR1_PI_S3_public
- SIHR1_PI_S4_public
- SIHR1_PI_S5_public
- SIHR1_PI_S6_public
- SIHR1_PI_S7_public
- SIHR1_PII_S8_public
- SIHR1_PII_S9_public
- SIHR1_PII_S10_public
- SIHR1_PII_S11_public
- SIHR1_PII_S12_public
- SIHR1_PII_S12a_public
- SIHR1_PII_S13_public
- SIHR1_PII_S14_public
- SIHR1_PII_S15_public
- SIHR1_PII_S16_public
Total HH expenditures last month (s5q20)
Data file: SIHR1_PI_S5_public
Overview
Valid:
3314
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
171
End:
178
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
What were your TOTAL monthly household expenditures last month?
Categories
| Value | Category |
|---|---|
| 0 | |
| 150 | |
| 200 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 550 | |
| 600 | |
| 680 | |
| 700 | |
| 720 | |
| 740 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 921 | |
| 950 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1320 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1555 | |
| 1580 | |
| 1600 | |
| 1700 | |
| 1710 | |
| 1720 | |
| 1730 | |
| 1770 | |
| 1800 | |
| 1830 | |
| 1890 | |
| 1900 | |
| 1940 | |
| 1980 | |
| 2000 | |
| 2075 | |
| 2100 | |
| 2170 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2330 | |
| 2375 | |
| 2400 | |
| 2476 | |
| 2500 | |
| 2565 | |
| 2580 | |
| 2590 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2775 | |
| 2780 | |
| 2800 | |
| 2810 | |
| 2850 | |
| 2900 | |
| 2930 | |
| 2950 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3430 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4077 | |
| 4100 | |
| 4120 | |
| 4135 | |
| 4200 | |
| 4300 | |
| 4376 | |
| 4385 | |
| 4400 | |
| 4430 | |
| 4500 | |
| 4515 | |
| 4550 | |
| 4588 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4850 | |
| 4900 | |
| 4950 | |
| 5000 | |
| 5025 | |
| 5084 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5550 | |
| 5600 | |
| 5700 | |
| 5750 | |
| 5800 | |
| 5900 | |
| 5935 | |
| 6000 | |
| 6140 | |
| 6150 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6410 | |
| 6420 | |
| 6500 | |
| 6535 | |
| 6570 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7005 | |
| 7100 | |
| 7200 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7820 | |
| 7900 | |
| 8000 | |
| 8200 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8750 | |
| 8800 | |
| 8900 | |
| 8960 | |
| 9000 | |
| 9100 | |
| 9200 | |
| 9500 | |
| 9600 | |
| 9750 | |
| 9800 | |
| 9950 | |
| 10000 | |
| 10100 | |
| 10200 | |
| 10250 | |
| 10300 | |
| 10350 | |
| 10460 | |
| 10500 | |
| 10600 | |
| 10710 | |
| 11000 | |
| 11100 | |
| 11469 | |
| 11500 | |
| 11570 | |
| 11700 | |
| 11800 | |
| 12000 | |
| 12100 | |
| 12200 | |
| 12500 | |
| 12550 | |
| 12600 | |
| 12700 | |
| 12800 | |
| 12820 | |
| 13000 | |
| 13100 | |
| 13165 | |
| 13200 | |
| 13500 | |
| 13600 | |
| 13770 | |
| 13800 | |
| 13850 | |
| 13900 | |
| 14000 | |
| 14200 | |
| 14290 | |
| 14500 | |
| 14600 | |
| 14700 | |
| 14720 | |
| 14790 | |
| 14800 | |
| 15000 | |
| 15100 | |
| 15200 | |
| 15500 | |
| 15600 | |
| 15650 | |
| 15850 | |
| 16000 | |
| 16500 | |
| 16550 | |
| 16570 | |
| 16700 | |
| 17000 | |
| 17180 | |
| 17400 | |
| 17500 | |
| 17800 | |
| 17900 | |
| 18000 | |
| 18050 | |
| 18300 | |
| 18370 | |
| 18500 | |
| 18800 | |
| 18900 | |
| 19000 | |
| 19300 | |
| 19500 | |
| 20000 | |
| 20100 | |
| 20500 | |
| 20800 | |
| 21000 | |
| 21960 | |
| 22000 | |
| 22500 | |
| 22700 | |
| 23000 | |
| 23500 | |
| 23600 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 25600 | |
| 26000 | |
| 26500 | |
| 26790 | |
| 27000 | |
| 27500 | |
| 27900 | |
| 28000 | |
| 28500 | |
| 28630 | |
| 29000 | |
| 29500 | |
| 29700 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32100 | |
| 32185 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 38000 | |
| 38600 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 40300 | |
| 40700 | |
| 41000 | |
| 41800 | |
| 41980 | |
| 42000 | |
| 44250 | |
| 44450 | |
| 44500 | |
| 45000 | |
| 45800 | |
| 46500 | |
| 47000 | |
| 48000 | |
| 49200 | |
| 50000 | |
| 50500 | |
| 51000 | |
| 51500 | |
| 52000 | |
| 53000 | |
| 55000 | |
| 58000 | |
| 60000 | |
| 60200 | |
| 62000 | |
| 70000 | |
| 76000 | |
| 79500 | |
| 80000 | |
| 84000 | |
| 90000 | |
| 93000 | |
| 95000 | |
| 100000 | |
| 120000 | |
| 130000 | |
| 88888888 | Don't know |
| 99999999 | Missing |
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.