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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2010_SIHRIE-R3_V01_M / variable [F17]
impact_evaluation

Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)

Malawi, 2010
Impact Evaluation Surveys
Central
The Strategic Impact Evaluation Fund (SIEF)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Created on September 16, 2015 Last modified September 16, 2015 Page views 31507 Download 1775 Documentation in PDF Metadata DDI/XML JSON
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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
CSV JSON

Estimated earnings Oct - Dec 2009 (s11q10d)

Data file: SIHR3_PII_S11A_public

Overview

Valid: 3583
Invalid: 0
Type: Discrete
Decimal: 0
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Literal question
Now, please think about all the work that you did in 2009. How much do you estimate that you earned in each of the following time periods?
Categories
Value Category Cases
0 2289
63.9%
2 1
0%
6 1
0%
50 6
0.2%
70 1
0%
100 24
0.7%
120 1
0%
150 15
0.4%
170 1
0%
200 65
1.8%
235 1
0%
240 2
0.1%
250 28
0.8%
270 1
0%
280 1
0%
300 63
1.8%
320 1
0%
330 1
0%
350 15
0.4%
360 1
0%
370 1
0%
385 1
0%
400 44
1.2%
420 3
0.1%
450 8
0.2%
470 1
0%
480 2
0.1%
500 195
5.4%
530 1
0%
550 7
0.2%
560 2
0.1%
600 34
0.9%
650 5
0.1%
695 1
0%
700 41
1.1%
720 1
0%
740 1
0%
750 14
0.4%
800 40
1.1%
840 1
0%
850 7
0.2%
865 1
0%
900 15
0.4%
950 4
0.1%
1000 198
5.5%
1050 1
0%
1100 1
0%
1200 27
0.8%
1250 2
0.1%
1260 1
0%
1300 7
0.2%
1400 4
0.1%
1420 1
0%
1480 1
0%
1500 74
2.1%
1600 4
0.1%
1680 2
0.1%
1700 5
0.1%
1780 1
0%
1800 7
0.2%
1840 1
0%
1900 1
0%
2000 86
2.4%
2100 5
0.1%
2200 1
0%
2250 1
0%
2300 3
0.1%
2400 6
0.2%
2500 30
0.8%
2600 3
0.1%
2750 1
0%
2800 4
0.1%
2900 1
0%
3000 41
1.1%
3135 1
0%
3200 2
0.1%
3500 4
0.1%
3600 3
0.1%
3750 1
0%
3800 2
0.1%
4000 15
0.4%
4500 7
0.2%
4800 2
0.1%
5000 16
0.4%
5460 1
0%
5700 1
0%
6000 14
0.4%
6300 1
0%
6700 1
0%
7000 4
0.1%
7500 2
0.1%
8000 4
0.1%
8100 1
0%
9000 3
0.1%
9450 1
0%
10000 4
0.1%
10500 2
0.1%
12000 6
0.2%
13000 1
0%
13500 1
0%
15000 4
0.1%
16000 1
0%
18000 1
0%
20000 2
0.1%
21000 1
0%
22500 1
0%
26000 1
0%
29400 1
0%
30000 1
0%
54000 1
0%
888888 Don't know 1
0%
999999 Missing 0
0%
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.
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