Home / Data Portal / NIDS-CRAM / ZAF-SALDRU-NIDS-CRAM-2020-W3-V3.0.0 / variable [V1189]
NIDS-CRAM

National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020, Wave 3

South Africa, 2020
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Reference ID
zaf-saldru-nids-cram-2020-w3-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
Feb 15, 2021
Last modified
Mar 11, 2025
Page views
34688
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ce7 - How much was your last monthly take home pay in Oct? (w3_nc_eminc_oct)

Data file: NIDS-CRAM_Wave3_Anon_V3.0.0

Overview

Valid: 1677
Invalid: 6421
Type: Discrete
Decimal: 0
Width: 6
Range: -9 - 110000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 110
6.6%
-8 Refused 124
7.4%
-5 Not Applicable 0
0%
-3 Missing 0
0%
0 47
2.8%
60 1
0.1%
150 2
0.1%
200 5
0.3%
250 1
0.1%
300 4
0.2%
340 1
0.1%
350 1
0.1%
400 4
0.2%
480 1
0.1%
500 4
0.2%
540 1
0.1%
600 12
0.7%
700 34
2%
730 2
0.1%
738 2
0.1%
740 1
0.1%
744 1
0.1%
750 2
0.1%
780 22
1.3%
800 13
0.8%
890 1
0.1%
900 5
0.3%
990 1
0.1%
1000 31
1.8%
1050 1
0.1%
1070 1
0.1%
1100 4
0.2%
1111 1
0.1%
1188 1
0.1%
1200 19
1.1%
1260 1
0.1%
1300 13
0.8%
1350 2
0.1%
1360 2
0.1%
1366 1
0.1%
1400 5
0.3%
1450 1
0.1%
1500 61
3.6%
1540 1
0.1%
1550 1
0.1%
1600 11
0.7%
1700 4
0.2%
1800 17
1%
1900 13
0.8%
1980 3
0.2%
1990 1
0.1%
2000 78
4.7%
2050 1
0.1%
2060 1
0.1%
2090 1
0.1%
2100 4
0.2%
2153 1
0.1%
2200 12
0.7%
2300 9
0.5%
2350 1
0.1%
2400 11
0.7%
2500 49
2.9%
2560 1
0.1%
2600 13
0.8%
2700 6
0.4%
2730 1
0.1%
2795 1
0.1%
2800 21
1.3%
2850 2
0.1%
2900 5
0.3%
3000 65
3.9%
3100 4
0.2%
3170 1
0.1%
3200 18
1.1%
3300 8
0.5%
3400 6
0.4%
3500 65
3.9%
3538 1
0.1%
3600 10
0.6%
3700 7
0.4%
3750 1
0.1%
3800 11
0.7%
3900 9
0.5%
4000 40
2.4%
4090 1
0.1%
4100 4
0.2%
4200 7
0.4%
4250 1
0.1%
4300 7
0.4%
4340 1
0.1%
4370 1
0.1%
4400 3
0.2%
4405 1
0.1%
4500 26
1.6%
4527 1
0.1%
4600 3
0.2%
4700 4
0.2%
4800 3
0.2%
4850 1
0.1%
4900 2
0.1%
4950 1
0.1%
5000 56
3.3%
5021 1
0.1%
5100 4
0.2%
5200 8
0.5%
5300 1
0.1%
5325 1
0.1%
5390 1
0.1%
5400 1
0.1%
5485 1
0.1%
5500 4
0.2%
5533 1
0.1%
5600 4
0.2%
5620 1
0.1%
5700 2
0.1%
5800 4
0.2%
5900 2
0.1%
5999 1
0.1%
6000 36
2.1%
6200 3
0.2%
6300 2
0.1%
6400 2
0.1%
6500 9
0.5%
6700 1
0.1%
6750 1
0.1%
6800 3
0.2%
6850 1
0.1%
6900 1
0.1%
6930 1
0.1%
7000 21
1.3%
7100 2
0.1%
7200 3
0.2%
7300 2
0.1%
7400 1
0.1%
7500 7
0.4%
7600 1
0.1%
7700 1
0.1%
7800 1
0.1%
7820 1
0.1%
7900 1
0.1%
8000 25
1.5%
8200 1
0.1%
8400 1
0.1%
8500 7
0.4%
8520 1
0.1%
8545 1
0.1%
8600 1
0.1%
8700 2
0.1%
8750 1
0.1%
9000 13
0.8%
9001 1
0.1%
9300 1
0.1%
9400 1
0.1%
9500 3
0.2%
9700 1
0.1%
10000 40
2.4%
10010 1
0.1%
10100 1
0.1%
10200 1
0.1%
10500 4
0.2%
10600 1
0.1%
10700 3
0.2%
11000 14
0.8%
11300 1
0.1%
11400 1
0.1%
11444 1
0.1%
11680 1
0.1%
11800 1
0.1%
11900 1
0.1%
11951 1
0.1%
12000 21
1.3%
12500 2
0.1%
13000 15
0.9%
13500 2
0.1%
13600 2
0.1%
13900 1
0.1%
14000 13
0.8%
14500 1
0.1%
14800 1
0.1%
15000 25
1.5%
15443 1
0.1%
15800 1
0.1%
16000 12
0.7%
16300 1
0.1%
16500 2
0.1%
16694 1
0.1%
16800 1
0.1%
17000 11
0.7%
17200 1
0.1%
17500 1
0.1%
18000 13
0.8%
18500 2
0.1%
19000 4
0.2%
19500 2
0.1%
20000 13
0.8%
21000 4
0.2%
22000 8
0.5%
23000 4
0.2%
24000 3
0.2%
25000 5
0.3%
26000 5
0.3%
27000 2
0.1%
28000 3
0.2%
29000 3
0.2%
30000 6
0.4%
32000 5
0.3%
33000 1
0.1%
34000 2
0.1%
35000 5
0.3%
38000 2
0.1%
39000 1
0.1%
39200 1
0.1%
40000 4
0.2%
45000 1
0.1%
50000 1
0.1%
51000 1
0.1%
54000 1
0.1%
55000 3
0.2%
65000 1
0.1%
100000 1
0.1%
110000 1
0.1%
Sysmiss 6421
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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