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NIDS-CRAM

National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020, Wave 2

South Africa, 2020
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Reference ID
zaf-saldru-nids-cram-2020-w2-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
Sep 16, 2020
Last modified
Aug 05, 2021
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59456
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ce7 - How much was your last monthly take home pay in June? (w2_nc_eminc_june)

Data file: NIDS-CRAM_Wave2_Anon_V3.0.0

Overview

Valid: 1480
Invalid: 5571
Type: Discrete
Decimal: 0
loc_start_pos: 225
loc_end_pos: 230
Width: 6
Range: -9 - 102000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 135
9.1%
-8 Refused 170
11.5%
-5 Not Applicable 0
0%
-3 Missing 0
0%
0 72
4.9%
20 1
0.1%
200 2
0.1%
250 1
0.1%
300 3
0.2%
400 2
0.1%
500 11
0.7%
520 1
0.1%
565 1
0.1%
600 7
0.5%
640 1
0.1%
650 1
0.1%
700 18
1.2%
738 1
0.1%
740 2
0.1%
744 2
0.1%
750 5
0.3%
760 1
0.1%
780 17
1.1%
800 13
0.9%
900 6
0.4%
1000 27
1.8%
1050 1
0.1%
1100 7
0.5%
1180 1
0.1%
1188 1
0.1%
1200 11
0.7%
1280 1
0.1%
1300 4
0.3%
1350 3
0.2%
1360 1
0.1%
1400 5
0.3%
1500 33
2.2%
1600 9
0.6%
1680 1
0.1%
1700 4
0.3%
1800 5
0.3%
1900 6
0.4%
1958 1
0.1%
1980 1
0.1%
2000 49
3.3%
2019 1
0.1%
2090 1
0.1%
2100 4
0.3%
2131 1
0.1%
2200 8
0.5%
2300 8
0.5%
2400 9
0.6%
2500 42
2.8%
2540 1
0.1%
2600 6
0.4%
2700 5
0.3%
2750 2
0.1%
2800 10
0.7%
2900 3
0.2%
3000 50
3.4%
3098 1
0.1%
3100 1
0.1%
3200 12
0.8%
3300 1
0.1%
3400 8
0.5%
3450 1
0.1%
3465 1
0.1%
3500 55
3.7%
3560 1
0.1%
3600 8
0.5%
3700 4
0.3%
3800 6
0.4%
3861 1
0.1%
3900 3
0.2%
3960 2
0.1%
4000 43
2.9%
4100 3
0.2%
4200 7
0.5%
4300 4
0.3%
4500 24
1.6%
4600 2
0.1%
4700 4
0.3%
4800 4
0.3%
4900 3
0.2%
4997 1
0.1%
5000 41
2.8%
5100 6
0.4%
5200 6
0.4%
5300 4
0.3%
5400 4
0.3%
5500 9
0.6%
5600 8
0.5%
5700 2
0.1%
5800 9
0.6%
6000 21
1.4%
6200 4
0.3%
6300 1
0.1%
6400 4
0.3%
6500 4
0.3%
6600 1
0.1%
6700 2
0.1%
6800 1
0.1%
6930 1
0.1%
7000 28
1.9%
7147 1
0.1%
7300 3
0.2%
7500 4
0.3%
7600 1
0.1%
7700 4
0.3%
7800 1
0.1%
8000 25
1.7%
8100 1
0.1%
8200 2
0.1%
8500 4
0.3%
9000 13
0.9%
9200 2
0.1%
9500 4
0.3%
9600 1
0.1%
10000 21
1.4%
10300 1
0.1%
10400 2
0.1%
10500 3
0.2%
10700 1
0.1%
10800 1
0.1%
10999 1
0.1%
11000 11
0.7%
11100 1
0.1%
11800 1
0.1%
11900 1
0.1%
12000 18
1.2%
12200 1
0.1%
12500 6
0.4%
12800 1
0.1%
13000 8
0.5%
13400 1
0.1%
13500 1
0.1%
13600 1
0.1%
14000 15
1%
14500 4
0.3%
14580 1
0.1%
14800 2
0.1%
14900 1
0.1%
15000 16
1.1%
15400 1
0.1%
15700 1
0.1%
16000 11
0.7%
16500 1
0.1%
16700 1
0.1%
16800 1
0.1%
16900 1
0.1%
17000 9
0.6%
17500 1
0.1%
18000 13
0.9%
18400 1
0.1%
18600 1
0.1%
18900 1
0.1%
19000 9
0.6%
19732 1
0.1%
19800 1
0.1%
20000 13
0.9%
20700 1
0.1%
21000 6
0.4%
22000 8
0.5%
23000 3
0.2%
24000 3
0.2%
25000 6
0.4%
26000 2
0.1%
26500 1
0.1%
28000 3
0.2%
29000 5
0.3%
30000 9
0.6%
31000 1
0.1%
32000 2
0.1%
33000 1
0.1%
35000 6
0.4%
36000 1
0.1%
38000 1
0.1%
39000 1
0.1%
40000 2
0.1%
42000 1
0.1%
43000 1
0.1%
45000 2
0.1%
46000 1
0.1%
48000 1
0.1%
50000 1
0.1%
51000 1
0.1%
53000 1
0.1%
58000 2
0.1%
60000 1
0.1%
100000 1
0.1%
102000 1
0.1%
Sysmiss 5571
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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