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    Home / Central Data Catalog / MWI_2007_SIHR_V01_M_V01_A_PUF / variable [F10]
central

Schooling, Income, and Health Risk Impact Evaluation Household Survey 2007-2008

Malawi, 2007 - 2008
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Reference ID
MWI_2007_SIHR_v01_M_v01_A_PUF
Producer(s)
Sarah Baird, Craig McIntosh, Berk Özler
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
23734
Downloads
1598
  • Study Description
  • Data Dictionary
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  • 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

How much do you estimate to have earned in the past year? (s9q36)

Data file: SIHR1_PII_S9_public

Overview

Valid: 3810
Invalid: 0
Type: Discrete
Decimal: 0
Start: 244
End: 249
Width: 6
Range: -
Format:

Questions and instructions

Literal question
Think about all of the work that you have done in the past year in which you have been paid cash or kind. How much do you estimate that you have earned in the past year?
Categories
Value Category
0
15
30
40
50
55
60
61
70
75
80
90
95
100
110
120
130
140
150
154
155
160
165
170
175
180
185
190
195
200
205
215
220
225
230
235
240
250
255
260
265
270
275
290
295
300
320
330
340
350
360
365
370
380
390
400
420
430
450
460
470
480
490
500
510
520
530
550
560
570
580
585
590
595
596
600
625
650
670
673
675
680
695
700
710
720
750
765
780
800
825
850
870
885
900
930
950
965
1000
1020
1050
1080
1100
1150
1200
1250
1270
1300
1350
1360
1390
1400
1450
1500
1550
1600
1650
1680
1700
1750
1800
1850
1900
1950
2000
2050
2100
2155
2200
2250
2300
2350
2400
2500
2600
2665
2700
2750
2800
2900
2950
3000
3200
3400
3490
3500
3525
3600
3750
3800
4000
4500
4800
4900
5000
5400
5500
5600
5700
5800
6000
6800
7000
7300
7500
7860
8000
9000
9600
10000
10500
11000
11100
12000
15000
16000
16500
18000
18500
20000
24000
26000
29600
30000
35000
40000
50000
54000
58000
888888 Don't know
999999 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.
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