Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)
Malawi, 2010
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Created on
September 16, 2015
Last modified
September 16, 2015
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- Data files
- baseline_controls_public
- SIHR3_PI_S1_public
- SIHR3_PI_S2_public
- SIHR3_PI_S3_public
- SIHR3_PI_S4_public
- SIHR3_PI_S5_public
- SIHR3_PI_S6a_public
- SIHR3_PI_S6b_public
- SIHR3_PI_S6c_public
- SIHR3_PI_S7_public
- SIHR3_PI_S8_public
- SIHR3_PII_S9A_public
- SIHR3_PII_S9B_public
- SIHR3_PII_S10A_public
- SIHR3_PII_S10B_public
- SIHR3_PII_S11A_public
- SIHR3_PII_S11B_public
- SIHR3_PII_S12_public
- SIHR3_PII_S13A_public
- SIHR3_PII_S13B_public
- SIHR3_PII_S14_public
- SIHR3_PII_S15A_public
- SIHR3_PII_S15B_public
- SIHR3_PII_S16_public
- SIHR3_PII_S17A_public
- SIHR3_PII_S17B_public
- SIHR3_PII_S18_public
- SIHR3_PII_S19_public
- SIHR3_PII_S20A_public
- SIHR3_PII_S20B_public
- SIHR3_PII_S20C_public
- SIHR3_PII_S21_public
- SIHR_identifiers
Estimated value of in kind benefits (MK) (s6q09)
Data file: SIHR3_PI_S6b_public
Overview
Valid:
831
Invalid:
15909
Type:
Discrete
Decimal:
0
Width:
6
Range:
0 - 999999
Format:
Numeric
Questions and instructions
Literal question
What was the estimated total value of this in kind benefit in MK?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
0.1%
|
|
| 1 | 1 |
0.1%
|
|
| 145 | 1 |
0.1%
|
|
| 150 | 1 |
0.1%
|
|
| 180 | 1 |
0.1%
|
|
| 188 | 1 |
0.1%
|
|
| 200 | 1 |
0.1%
|
|
| 250 | 2 |
0.2%
|
|
| 300 | 4 |
0.5%
|
|
| 350 | 3 |
0.4%
|
|
| 400 | 3 |
0.4%
|
|
| 410 | 1 |
0.1%
|
|
| 500 | 47 |
5.7%
|
|
| 550 | 6 |
0.7%
|
|
| 560 | 1 |
0.1%
|
|
| 600 | 26 |
3.1%
|
|
| 605 | 1 |
0.1%
|
|
| 650 | 4 |
0.5%
|
|
| 670 | 1 |
0.1%
|
|
| 700 | 12 |
1.4%
|
|
| 720 | 2 |
0.2%
|
|
| 750 | 9 |
1.1%
|
|
| 800 | 19 |
2.3%
|
|
| 820 | 1 |
0.1%
|
|
| 850 | 2 |
0.2%
|
|
| 900 | 12 |
1.4%
|
|
| 950 | 2 |
0.2%
|
|
| 980 | 1 |
0.1%
|
|
| 1000 | 60 |
7.2%
|
|
| 1050 | 2 |
0.2%
|
|
| 1100 | 5 |
0.6%
|
|
| 1150 | 1 |
0.1%
|
|
| 1190 | 1 |
0.1%
|
|
| 1200 | 26 |
3.1%
|
|
| 1210 | 1 |
0.1%
|
|
| 1225 | 1 |
0.1%
|
|
| 1250 | 7 |
0.8%
|
|
| 1275 | 1 |
0.1%
|
|
| 1300 | 9 |
1.1%
|
|
| 1340 | 1 |
0.1%
|
|
| 1350 | 1 |
0.1%
|
|
| 1370 | 1 |
0.1%
|
|
| 1400 | 6 |
0.7%
|
|
| 1420 | 1 |
0.1%
|
|
| 1500 | 63 |
7.6%
|
|
| 1560 | 1 |
0.1%
|
|
| 1600 | 3 |
0.4%
|
|
| 1670 | 1 |
0.1%
|
|
| 1700 | 2 |
0.2%
|
|
| 1750 | 5 |
0.6%
|
|
| 1800 | 11 |
1.3%
|
|
| 1840 | 1 |
0.1%
|
|
| 1900 | 4 |
0.5%
|
|
| 2000 | 50 |
6%
|
|
| 2050 | 1 |
0.1%
|
|
| 2100 | 2 |
0.2%
|
|
| 2200 | 6 |
0.7%
|
|
| 2300 | 2 |
0.2%
|
|
| 2400 | 4 |
0.5%
|
|
| 2500 | 39 |
4.7%
|
|
| 2550 | 1 |
0.1%
|
|
| 2600 | 2 |
0.2%
|
|
| 2700 | 3 |
0.4%
|
|
| 2750 | 2 |
0.2%
|
|
| 2800 | 7 |
0.8%
|
|
| 2880 | 1 |
0.1%
|
|
| 3000 | 62 |
7.5%
|
|
| 3050 | 1 |
0.1%
|
|
| 3200 | 4 |
0.5%
|
|
| 3500 | 16 |
1.9%
|
|
| 3600 | 1 |
0.1%
|
|
| 3700 | 1 |
0.1%
|
|
| 3750 | 1 |
0.1%
|
|
| 3800 | 1 |
0.1%
|
|
| 3900 | 1 |
0.1%
|
|
| 4000 | 14 |
1.7%
|
|
| 4100 | 1 |
0.1%
|
|
| 4200 | 1 |
0.1%
|
|
| 4300 | 1 |
0.1%
|
|
| 4500 | 6 |
0.7%
|
|
| 4600 | 1 |
0.1%
|
|
| 4800 | 1 |
0.1%
|
|
| 5000 | 42 |
5.1%
|
|
| 5200 | 1 |
0.1%
|
|
| 5300 | 1 |
0.1%
|
|
| 5500 | 2 |
0.2%
|
|
| 5600 | 2 |
0.2%
|
|
| 5700 | 1 |
0.1%
|
|
| 5750 | 1 |
0.1%
|
|
| 5800 | 1 |
0.1%
|
|
| 6000 | 19 |
2.3%
|
|
| 6010 | 1 |
0.1%
|
|
| 6100 | 1 |
0.1%
|
|
| 6400 | 2 |
0.2%
|
|
| 6500 | 3 |
0.4%
|
|
| 7000 | 3 |
0.4%
|
|
| 7500 | 5 |
0.6%
|
|
| 7800 | 1 |
0.1%
|
|
| 7900 | 1 |
0.1%
|
|
| 8000 | 9 |
1.1%
|
|
| 8500 | 2 |
0.2%
|
|
| 8600 | 2 |
0.2%
|
|
| 9000 | 5 |
0.6%
|
|
| 9500 | 1 |
0.1%
|
|
| 9600 | 1 |
0.1%
|
|
| 9950 | 1 |
0.1%
|
|
| 10000 | 20 |
2.4%
|
|
| 10500 | 1 |
0.1%
|
|
| 11000 | 2 |
0.2%
|
|
| 11500 | 2 |
0.2%
|
|
| 12000 | 5 |
0.6%
|
|
| 12500 | 1 |
0.1%
|
|
| 12750 | 1 |
0.1%
|
|
| 12800 | 1 |
0.1%
|
|
| 13000 | 1 |
0.1%
|
|
| 13500 | 1 |
0.1%
|
|
| 13600 | 1 |
0.1%
|
|
| 14000 | 1 |
0.1%
|
|
| 14500 | 1 |
0.1%
|
|
| 14600 | 1 |
0.1%
|
|
| 15000 | 8 |
1%
|
|
| 16000 | 1 |
0.1%
|
|
| 16500 | 1 |
0.1%
|
|
| 17000 | 3 |
0.4%
|
|
| 17500 | 3 |
0.4%
|
|
| 18000 | 3 |
0.4%
|
|
| 19600 | 1 |
0.1%
|
|
| 20000 | 4 |
0.5%
|
|
| 22000 | 1 |
0.1%
|
|
| 22500 | 2 |
0.2%
|
|
| 23400 | 1 |
0.1%
|
|
| 24000 | 1 |
0.1%
|
|
| 25000 | 1 |
0.1%
|
|
| 26000 | 3 |
0.4%
|
|
| 27500 | 1 |
0.1%
|
|
| 28000 | 1 |
0.1%
|
|
| 28300 | 1 |
0.1%
|
|
| 28500 | 1 |
0.1%
|
|
| 30000 | 4 |
0.5%
|
|
| 31000 | 2 |
0.2%
|
|
| 33000 | 1 |
0.1%
|
|
| 40000 | 1 |
0.1%
|
|
| 43000 | 1 |
0.1%
|
|
| 44000 | 1 |
0.1%
|
|
| 49000 | 1 |
0.1%
|
|
| 50000 | 4 |
0.5%
|
|
| 56000 | 1 |
0.1%
|
|
| 60000 | 2 |
0.2%
|
|
| 63000 | 1 |
0.1%
|
|
| 63500 | 1 |
0.1%
|
|
| 101500 | 1 |
0.1%
|
|
| 112000 | 1 |
0.1%
|
|
| 120000 | 1 |
0.1%
|
|
| 155000 | 1 |
0.1%
|
|
| 159000 | 1 |
0.1%
|
|
| 888888 | Don't know | 0 |
0%
|
| 999999 | Missing | 8 |
1%
|
| Sysmiss | 15909 |
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.