Dataset: Generations and Gender Survey Belgium Wave 1

Variable a866_2: Net amount of payment type income 2

Literal Question

What was the average net amount of this payment?
For payment types 1 and 2: If you are working with an employer, please include also earnings from any overtime you normally did. Please give me the net-amount, that is, the takehome pay.

Descriptive Text

Q 866 core questionnaire

Values Categories N
0 3
 0.3%
1 2
 0.2%
6 1
 0.1%
11 1
 0.1%
20 1
 0.1%
30 1
 0.1%
31 1
 0.1%
35 1
 0.1%
40 2
 0.2%
48 1
 0.1%
50 3
 0.3%
54 1
 0.1%
57 1
 0.1%
58 1
 0.1%
70 2
 0.2%
72 1
 0.1%
80 1
 0.1%
81 1
 0.1%
90 1
 0.1%
92 1
 0.1%
94 1
 0.1%
95 4
 0.5%
96 1
 0.1%
97 1
 0.1%
98 2
 0.2%
99 1
 0.1%
100 19
 2.2%
102 2
 0.2%
104 1
 0.1%
110 3
 0.3%
116 2
 0.2%
117 1
 0.1%
120 3
 0.3%
122 1
 0.1%
123 1
 0.1%
125 2
 0.2%
127 1
 0.1%
128 1
 0.1%
129 1
 0.1%
130 2
 0.2%
133 1
 0.1%
137 1
 0.1%
140 2
 0.2%
143 1
 0.1%
147 1
 0.1%
150 8
 0.9%
155 1
 0.1%
156 1
 0.1%
160 1
 0.1%
162 1
 0.1%
170 3
 0.3%
172 2
 0.2%
180 3
 0.3%
185 1
 0.1%
196 1
 0.1%
200 15
 1.7%
206 1
 0.1%
207 2
 0.2%
210 2
 0.2%
213 1
 0.1%
220 1
 0.1%
225 1
 0.1%
230 4
 0.5%
240 1
 0.1%
245 1
 0.1%
249 1
 0.1%
250 16
 1.8%
252 1
 0.1%
270 1
 0.1%
280 1
 0.1%
285 1
 0.1%
289 3
 0.3%
290 1
 0.1%
292 1
 0.1%
297 1
 0.1%
298 1
 0.1%
300 27
 3.1%
304 1
 0.1%
320 1
 0.1%
323 2
 0.2%
340 3
 0.3%
343 1
 0.1%
350 12
 1.4%
352 1
 0.1%
356 1
 0.1%
360 1
 0.1%
370 2
 0.2%
390 1
 0.1%
400 12
 1.4%
412 1
 0.1%
420 1
 0.1%
426 1
 0.1%
450 8
 0.9%
470 2
 0.2%
481 1
 0.1%
490 2
 0.2%
494 1
 0.1%
500 12
 1.4%
515 1
 0.1%
520 1
 0.1%
535 1
 0.1%
549 1
 0.1%
550 4
 0.5%
561 1
 0.1%
575 2
 0.2%
576 1
 0.1%
580 1
 0.1%
599 1
 0.1%
600 18
 2.1%
637 1
 0.1%
640 1
 0.1%
645 1
 0.1%
650 9
 1.0%
660 1
 0.1%
666 1
 0.1%
675 1
 0.1%
700 12
 1.4%
750 8
 0.9%
770 1
 0.1%
800 13
 1.5%
802 1
 0.1%
830 1
 0.1%
840 3
 0.3%
846 1
 0.1%
850 4
 0.5%
868 1
 0.1%
870 1
 0.1%
875 1
 0.1%
880 1
 0.1%
900 22
 2.5%
901 1
 0.1%
906 1
 0.1%
910 1
 0.1%
920 1
 0.1%
927 1
 0.1%
940 1
 0.1%
943 1
 0.1%
950 8
 0.9%
960 2
 0.2%
970 1
 0.1%
975 1
 0.1%
980 1
 0.1%
988 1
 0.1%
989 1
 0.1%
995 1
 0.1%
997 3
 0.3%
1000 26
 3.0%
1010 1
 0.1%
1022 1
 0.1%
1040 2
 0.2%
1050 7
 0.8%
1067 1
 0.1%
1070 1
 0.1%
1090 1
 0.1%
1095 1
 0.1%
1100 9
 1.0%
1113 1
 0.1%
1118 1
 0.1%
1148 1
 0.1%
1150 4
 0.5%
1170 1
 0.1%
1190 1
 0.1%
1200 8
 0.9%
1220 1
 0.1%
1223 1
 0.1%
1225 1
 0.1%
1235 1
 0.1%
1240 1
 0.1%
1250 2
 0.2%
1282 1
 0.1%
1300 4
 0.5%
1336 1
 0.1%
1400 3
 0.3%
1438 1
 0.1%
1448 1
 0.1%
1450 2
 0.2%
1470 1
 0.1%
1499 1
 0.1%
1500 7
 0.8%
1550 1
 0.1%
1600 1
 0.1%
1640 1
 0.1%
1650 2
 0.2%
1700 2
 0.2%
1800 5
 0.6%
1850 1
 0.1%
1900 2
 0.2%
2000 5
 0.6%
2100 1
 0.1%
2300 1
 0.1%
2560 1
 0.1%
2600 1
 0.1%
99999 355
 40.6%
99999997 does not know 0
99999998 refusal 0
99999999 no response/not applicable 0
Sysmiss 6289

Summary Statistics

Valid cases 874
Missing cases 6289
Minimum 0.0
Maximum 99999.0
Mean 40992.515
Standard deviation 48830.529
This variable is numeric

Notes

currency in euro's

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