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NIDS-CRAM

National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020, Wave 1

South Africa, 2020
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Reference ID
zaf-saldru-nids-cram-2020-w1-v3.0.0
Producer(s)
Nic Spaull - Ronelle Burger - Rulof Burger - David Carel - Reza Daniels - Nwabisa Makaluza - Dorrit Posel - Vimal Ranchhod - Servaas van der Berg - Gabrielle Wills
Collections
National Income Dynamics Study-Coronavirus Rapid Mobile Survey
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 09, 2020
Last modified
Aug 05, 2021
Page views
87051
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ce6 - How much was your last monthly take home pay in April? (w1_nc_eminc_apr)

Data file: NIDS-CRAM_Wave1_Anon_V3.0.0

Overview

Valid: 1727
Invalid: 5346
Type: Discrete
Decimal: 0
loc_start_pos: 219
loc_end_pos: 224
Width: 6
Range: -9 - 100000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 174
10.1%
-8 Refused 151
8.7%
-5 Not Applicable 0
0%
-3 Missing 0
0%
0 143
8.3%
7 1
0.1%
100 1
0.1%
150 1
0.1%
200 2
0.1%
250 1
0.1%
260 1
0.1%
300 2
0.1%
350 1
0.1%
400 5
0.3%
450 2
0.1%
500 8
0.5%
520 1
0.1%
580 1
0.1%
600 4
0.2%
650 1
0.1%
700 19
1.1%
739 1
0.1%
744 2
0.1%
750 5
0.3%
780 25
1.4%
790 1
0.1%
800 11
0.6%
845 1
0.1%
875 1
0.1%
900 6
0.3%
990 1
0.1%
1000 25
1.4%
1100 2
0.1%
1200 12
0.7%
1268 1
0.1%
1270 1
0.1%
1271 1
0.1%
1300 9
0.5%
1350 1
0.1%
1400 5
0.3%
1500 31
1.8%
1600 10
0.6%
1690 1
0.1%
1700 8
0.5%
1750 1
0.1%
1800 14
0.8%
1881 1
0.1%
1900 6
0.3%
1980 3
0.2%
2000 50
2.9%
2007 1
0.1%
2010 1
0.1%
2100 6
0.3%
2131 1
0.1%
2200 10
0.6%
2300 5
0.3%
2345 1
0.1%
2400 10
0.6%
2500 44
2.5%
2600 1
0.1%
2700 1
0.1%
2760 1
0.1%
2800 15
0.9%
2850 1
0.1%
2875 1
0.1%
2900 6
0.3%
3000 40
2.3%
3100 6
0.3%
3200 10
0.6%
3250 1
0.1%
3300 3
0.2%
3400 8
0.5%
3500 46
2.7%
3503 1
0.1%
3600 4
0.2%
3700 10
0.6%
3750 1
0.1%
3800 14
0.8%
3900 7
0.4%
3950 1
0.1%
3960 1
0.1%
3970 1
0.1%
4000 49
2.8%
4027 1
0.1%
4100 7
0.4%
4150 1
0.1%
4200 10
0.6%
4300 4
0.2%
4350 1
0.1%
4400 4
0.2%
4450 1
0.1%
4500 16
0.9%
4600 3
0.2%
4700 3
0.2%
4800 12
0.7%
4823 1
0.1%
4850 1
0.1%
4900 5
0.3%
4975 1
0.1%
4997 1
0.1%
5000 40
2.3%
5100 2
0.1%
5200 8
0.5%
5300 4
0.2%
5400 3
0.2%
5430 1
0.1%
5500 9
0.5%
5600 4
0.2%
5700 4
0.2%
5800 4
0.2%
5820 1
0.1%
5822 1
0.1%
5900 1
0.1%
6000 35
2%
6100 1
0.1%
6200 1
0.1%
6300 2
0.1%
6500 7
0.4%
6600 1
0.1%
6662 1
0.1%
6700 2
0.1%
6800 2
0.1%
6900 1
0.1%
6930 1
0.1%
7000 29
1.7%
7130 1
0.1%
7200 5
0.3%
7300 1
0.1%
7400 2
0.1%
7500 9
0.5%
7700 2
0.1%
7704 1
0.1%
7800 1
0.1%
7900 1
0.1%
8000 23
1.3%
8200 1
0.1%
8300 1
0.1%
8400 2
0.1%
8500 7
0.4%
8787 1
0.1%
8900 2
0.1%
9000 23
1.3%
9042 1
0.1%
9100 1
0.1%
9200 1
0.1%
9330 1
0.1%
9500 2
0.1%
9570 1
0.1%
10000 23
1.3%
10100 2
0.1%
10300 1
0.1%
10400 2
0.1%
10500 1
0.1%
10700 1
0.1%
10800 2
0.1%
11000 10
0.6%
11100 2
0.1%
11150 1
0.1%
11500 1
0.1%
11800 1
0.1%
12000 27
1.6%
12400 1
0.1%
12500 2
0.1%
12600 1
0.1%
12700 1
0.1%
13000 17
1%
13200 1
0.1%
13500 5
0.3%
13600 1
0.1%
14000 19
1.1%
14500 2
0.1%
14700 1
0.1%
15000 28
1.6%
15200 1
0.1%
15400 1
0.1%
15500 1
0.1%
16000 15
0.9%
16200 1
0.1%
16300 1
0.1%
16500 1
0.1%
17000 10
0.6%
18000 20
1.2%
18300 1
0.1%
18600 1
0.1%
19000 9
0.5%
19300 1
0.1%
19800 1
0.1%
20000 15
0.9%
20600 1
0.1%
21000 9
0.5%
22000 8
0.5%
23000 6
0.3%
23600 1
0.1%
24000 7
0.4%
25000 10
0.6%
26000 4
0.2%
26500 1
0.1%
27000 3
0.2%
28000 2
0.1%
28500 1
0.1%
29000 6
0.3%
30000 10
0.6%
32000 6
0.3%
32500 1
0.1%
33000 1
0.1%
34000 1
0.1%
34413 1
0.1%
34831 1
0.1%
35000 2
0.1%
36000 1
0.1%
37000 2
0.1%
39000 1
0.1%
40000 5
0.3%
40200 1
0.1%
41000 1
0.1%
45000 2
0.1%
46000 2
0.1%
50000 3
0.2%
55000 2
0.1%
65000 1
0.1%
75000 1
0.1%
100000 1
0.1%
Sysmiss 5346
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.

Others

Notes
leincnummnth_1
ce6
eminc_apr
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