Descriptives for Germany 2000 person file
Descriptives
Descriptive Statistics
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
| COUNTRY UNIQUE COUNTRY/YEAR IDENTIFICATION NUMBER |
21681 |
121 |
121 |
121.00 |
.000 |
| CASENUM UNIQUE UNIT NUMBER |
21681 |
1 |
11946 |
5936.67 |
3436.091 |
| PWEIGHT PERSON WEIGHT--USUALLY HWEIGHT |
21681 |
24 |
37494 |
3037.76 |
2870.896 |
| PAGE PERSON AGE |
21681 |
15 |
99 |
45.28 |
18.024 |
| PWEEKFT PERSON WEEKS WORKED FULL TIME |
9554 |
4 |
52 |
47.84 |
10.639 |
| PWEEKPT PERSON WEEKS WORKED PART TIME |
3271 |
4 |
52 |
42.08 |
15.351 |
| PWEEKUP PERSON WEEKS UNEMPLOYED |
1980 |
4 |
52 |
30.36 |
18.044 |
| PHOURS PERSON HOURS WORKED PER WEEK |
11643 |
1 |
80 |
38.66 |
12.971 |
| PHRWAGE PERSON HOURLY WAGE RATE |
10606 |
0 |
356 |
24.49 |
16.978 |
| PGWAGE PERSON GROSS WAGE/SALARY |
12395 |
80 |
674800 |
44423.51 |
35022.182 |
| PNWAGE PERSON NET WAGE/SALARY |
0 |
|
|
|
|
| PSELF PERSON SELF-EMPLOYMENT INCOME |
1138 |
284 |
840000 |
66493.41 |
63574.787 |
| PSOCRET PERSON SOCIAL RETIREMENT |
4361 |
250 |
96000 |
21101.15 |
11188.024 |
| PSOCRET1 PERSON BASIC OLD-AGE PENSION |
4019 |
340 |
96000 |
19615.03 |
11297.963 |
| PSOCRET2 PERSON SUPPLEMENTARY OLD AGE BENEFIT |
0 |
|
|
|
|
| PSOCRET3 PERSON EARLY RETIREMENT BENEFIT |
0 |
|
|
|
|
| PSOCRET4 PERSON SURVIVORS PENSIONS |
1041 |
24 |
37920 |
12669.82 |
6839.873 |
| PSOCRETR PERSON OTHER SOCIAL RETIREMENT INCOME |
0 |
|
|
|
|
| PUNEMP PERSON TOTAL UNEMPLOYMENT COMPENSATION |
1255 |
78 |
120000 |
9893.95 |
8337.337 |
| PUNEMP1 PERSON UNEMPLOYMENT INSURANCE |
1036 |
78 |
70800 |
9025.85 |
7196.451 |
| PUNEMP2 PERSON TRAINING OR RETRAINING ALLOWANCE |
200 |
480 |
38400 |
9239.45 |
6829.788 |
| PUNEMP3 PERSON PLACEMENT AND RESETTLEMENT BENEFITS |
0 |
|
|
|
|
| PUNEMPR PERSON OTHER UNEMPLOYMENT BENEFITS |
114 |
535 |
84000 |
10686.21 |
10870.506 |
| PPRVPEN PERSON PRIVATE PENSIONS |
459 |
336 |
240000 |
10538.29 |
16660.385 |
| PPRVPEN1 PERSON OCCUPATIONAL PENSIONS |
415 |
336 |
240000 |
10689.03 |
17130.392 |
| PPRVPEN2 PERSON OPTING OUT PENSIONS |
0 |
|
|
|
|
| PPRVPENR PERSON OTHER PRIVATE PENSION INCOME |
51 |
100 |
45600 |
7865.25 |
9917.835 |
| PPUBPEN PERSON PUBLIC PENSIONS |
563 |
200 |
144000 |
29583.47 |
25045.731 |
| PMEEC PERSON MANDATORY EMPLOYEE CONTRIBUTIONS |
0 |
|
|
|
|
| PMERC PERSON MANDATORY EMPLOYER CONTRIBUTIONS |
0 |
|
|
|
|
| PYTAX PERSON INCOME TAXES |
0 |
|
|
|
|
| PWTAX PERSON PROPERTY/WEALTH TAXES |
0 |
|
|
|
|
| PSLOT1 COUNTRY SPECIFIC PERSON DATA 1 |
0 |
|
|
|
|
| PSLOT2 COUNTRY SPECIFIC PERSON DATA 2 |
0 |
|
|
|
|
| Valid N (listwise) |
0 |
|
|
|
|
Frequencies for Germany 2000 person file
Frequency Table
PPNUM POINTER FOR PERSON
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 head |
10985 |
50.7 |
50.7 |
50.7 |
| 2 wife or steady partner |
7217 |
33.3 |
33.3 |
84.0 |
| 3 oldest other adult |
2481 |
11.4 |
11.4 |
95.4 |
| 4 2nd oldest oth adlt |
827 |
3.8 |
3.8 |
99.2 |
| 5 3rd oldest oth adlt |
146 |
.7 |
.7 |
99.9 |
| 31 4th oldest oth adlt |
19 |
.1 |
.1 |
100.0 |
| 32 5th oldest oth adlt |
3 |
.0 |
.0 |
100.0 |
| 33 6th oldest oth adlt |
1 |
.0 |
.0 |
100.0 |
| 34 7th oldest oth adlt |
1 |
.0 |
.0 |
100.0 |
| 35 8th oldest oth adlt |
1 |
.0 |
.0 |
100.0 |
| Total |
21681 |
100.0 |
100.0 |
|
PSEX PERSON SEX
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 male |
10471 |
48.3 |
48.3 |
48.3 |
| 2 female |
11210 |
51.7 |
51.7 |
100.0 |
| Total |
21681 |
100.0 |
100.0 |
|
PREL PERSON RELATIONSHIP
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 head of household |
10985 |
50.7 |
50.7 |
50.7 |
| 2 husband/wife |
6769 |
31.2 |
31.2 |
81.9 |
| 3 partner |
448 |
2.1 |
2.1 |
84.0 |
| 4 child |
3138 |
14.5 |
14.5 |
98.4 |
| 5 foster-child |
11 |
.1 |
.1 |
98.5 |
| 6 child-in-law |
41 |
.2 |
.2 |
98.7 |
| 7 parent |
82 |
.4 |
.4 |
99.0 |
| 8 parent-in-law |
33 |
.2 |
.2 |
99.2 |
| 9 sibling (in-law) |
28 |
.1 |
.1 |
99.3 |
| 10 grandchild |
29 |
.1 |
.1 |
99.5 |
| 11 other related |
12 |
.1 |
.1 |
99.5 |
| 12 other non-related |
33 |
.2 |
.2 |
99.7 |
| 13 child of partner |
72 |
.3 |
.3 |
100.0 |
| Total |
21681 |
100.0 |
100.0 |
|
PMART PERSON MARITAL STATUS
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 never married |
4689 |
21.6 |
21.6 |
21.6 |
| 2 married (incl separated) |
13217 |
61.0 |
61.0 |
82.6 |
| 3 divorced |
1299 |
6.0 |
6.0 |
88.6 |
| 4 widowed |
1415 |
6.5 |
6.5 |
95.1 |
| 5 living together with steady partner |
1061 |
4.9 |
4.9 |
100.0 |
| Total |
21681 |
100.0 |
100.0 |
|
PETHNAT PERSON ETHNICITY/NATIONALITY
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 German |
19669 |
90.7 |
90.7 |
90.7 |
| 2 Turkish |
719 |
3.3 |
3.3 |
94.0 |
| 3 Ex-Yugoslavian |
96 |
.4 |
.4 |
94.5 |
| 4 Greec |
174 |
.8 |
.8 |
95.3 |
| 5 Italian |
344 |
1.6 |
1.6 |
96.9 |
| 6 Spanish |
71 |
.3 |
.3 |
97.2 |
| 10 Austrian |
40 |
.2 |
.2 |
97.4 |
| 11 French |
22 |
.1 |
.1 |
97.5 |
| 13 Danish |
2 |
.0 |
.0 |
97.5 |
| 14 British |
23 |
.1 |
.1 |
97.6 |
| 15 Swedish |
1 |
.0 |
.0 |
97.6 |
| 16 Norwegian |
1 |
.0 |
.0 |
97.6 |
| 17 Finnish |
3 |
.0 |
.0 |
97.6 |
| 18 American |
22 |
.1 |
.1 |
97.7 |
| 19 Swiss |
5 |
.0 |
.0 |
97.7 |
| 20 Chilean |
1 |
.0 |
.0 |
97.7 |
| 21 Romanian |
9 |
.0 |
.0 |
97.8 |
| 22 Polish |
31 |
.1 |
.1 |
97.9 |
| 24 Iranian |
13 |
.1 |
.1 |
98.0 |
| 25 Indonesian |
3 |
.0 |
.0 |
98.0 |
| 26 Hungarian |
8 |
.0 |
.0 |
98.0 |
| 28 Portugese |
18 |
.1 |
.1 |
98.1 |
| 29 Bulgarian |
1 |
.0 |
.0 |
98.1 |
| 31 Czech |
4 |
.0 |
.0 |
98.2 |
| 32 Russian |
20 |
.1 |
.1 |
98.2 |
| 34 Mexican |
1 |
.0 |
.0 |
98.2 |
| 38 Philippine |
3 |
.0 |
.0 |
98.3 |
| 40 Japanese |
1 |
.0 |
.0 |
98.3 |
| 43 Afghan |
1 |
.0 |
.0 |
98.3 |
| 44 Thai |
2 |
.0 |
.0 |
98.3 |
| 48 Colombian |
2 |
.0 |
.0 |
98.3 |
| 49 Ghanese / Ghanaian |
2 |
.0 |
.0 |
98.3 |
| 50 Bangladeshi |
1 |
.0 |
.0 |
98.3 |
| 51 Venezuelan |
3 |
.0 |
.0 |
98.3 |
| 54 Nigerian |
1 |
.0 |
.0 |
98.3 |
| 55 Canadian |
4 |
.0 |
.0 |
98.3 |
| 59 Cuban |
1 |
.0 |
.0 |
98.3 |
| 60 Iraqi |
3 |
.0 |
.0 |
98.4 |
| 61 Brazilian |
3 |
.0 |
.0 |
98.4 |
| 65 Sri Lankan |
4 |
.0 |
.0 |
98.4 |
| 67 Moroccan |
4 |
.0 |
.0 |
98.4 |
| 68 Chinese |
1 |
.0 |
.0 |
98.4 |
| 74 Kazakhstani |
4 |
.0 |
.0 |
98.4 |
| 75 Albanian |
7 |
.0 |
.0 |
98.5 |
| 76 Lebanese |
8 |
.0 |
.0 |
98.5 |
| 78 Ukrainian |
8 |
.0 |
.0 |
98.5 |
| 81 Egyptian |
1 |
.0 |
.0 |
98.5 |
| 83 Vietnamese |
7 |
.0 |
.0 |
98.6 |
| 85 Pakistani |
2 |
.0 |
.0 |
98.6 |
| 89 Eritrean |
2 |
.0 |
.0 |
98.6 |
| 98 no nationality / stateless |
4 |
.0 |
.0 |
98.6 |
| 103 Latvian |
2 |
.0 |
.0 |
98.6 |
| 116 Luxembourgish |
5 |
.0 |
.0 |
98.6 |
| 117 Belgian |
7 |
.0 |
.0 |
98.7 |
| 118 Dutch |
20 |
.1 |
.1 |
98.8 |
| 119 Croatian |
116 |
.5 |
.5 |
99.3 |
| 120 Bosnian/Herzegowinan |
76 |
.4 |
.4 |
99.7 |
| 121 Macedonian |
23 |
.1 |
.1 |
99.8 |
| 122 Slovenian |
10 |
.0 |
.0 |
99.8 |
| 123 Slovak |
1 |
.0 |
.0 |
99.8 |
| 130 Azerbaijani |
2 |
.0 |
.0 |
99.8 |
| 132 White-Russian / Belarus |
4 |
.0 |
.0 |
99.8 |
| 135 Ugandan |
1 |
.0 |
.0 |
99.8 |
| 138 Malian |
1 |
.0 |
.0 |
99.8 |
| 139 Cameroonian |
1 |
.0 |
.0 |
99.9 |
| 140 (Kosovo-)Albanian |
29 |
.1 |
.1 |
100.0 |
| 147 Chad |
1 |
.0 |
.0 |
100.0 |
| 148 Armenian |
2 |
.0 |
.0 |
100.0 |
| Total |
21681 |
100.0 |
100.0 |
|
PIMMIGR PERSON IMMIGRATION STATUS
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 Germany |
19732 |
91.0 |
94.2 |
94.2 |
| 2 Turkey |
88 |
.4 |
.4 |
94.6 |
| 3 Ex-Yugoslavia |
34 |
.2 |
.2 |
94.8 |
| 4 Greece |
3 |
.0 |
.0 |
94.8 |
| 5 Italy |
6 |
.0 |
.0 |
94.8 |
| 10 Austria |
21 |
.1 |
.1 |
94.9 |
| 11 France |
6 |
.0 |
.0 |
94.9 |
| 13 Denmark |
1 |
.0 |
.0 |
95.0 |
| 14 Great Britain |
3 |
.0 |
.0 |
95.0 |
| 15 Sweden |
1 |
.0 |
.0 |
95.0 |
| 17 Finnland |
1 |
.0 |
.0 |
95.0 |
| 18 USA |
8 |
.0 |
.0 |
95.0 |
| 19 Switzerland |
5 |
.0 |
.0 |
95.0 |
| 20 Chile |
2 |
.0 |
.0 |
95.0 |
| 21 Romania |
98 |
.5 |
.5 |
95.5 |
| 22 Poland |
268 |
1.2 |
1.3 |
96.8 |
| 23 Korea |
2 |
.0 |
.0 |
96.8 |
| 24 Iran |
5 |
.0 |
.0 |
96.8 |
| 26 Hungary |
29 |
.1 |
.1 |
97.0 |
| 30 Syria |
1 |
.0 |
.0 |
97.0 |
| 31 Czech Republic |
121 |
.6 |
.6 |
97.6 |
| 32 Russia |
174 |
.8 |
.8 |
98.4 |
| 35 Argentina |
3 |
.0 |
.0 |
98.4 |
| 38 Philippinnes |
7 |
.0 |
.0 |
98.4 |
| 40 Japan |
1 |
.0 |
.0 |
98.4 |
| 41 Australia |
1 |
.0 |
.0 |
98.4 |
| 43 Afghanistan |
1 |
.0 |
.0 |
98.4 |
| 44 Thailand |
1 |
.0 |
.0 |
98.4 |
| 47 Ethiopia |
1 |
.0 |
.0 |
98.5 |
| 48 Colombia |
1 |
.0 |
.0 |
98.5 |
| 52 Tunisia |
1 |
.0 |
.0 |
98.5 |
| 54 Nigeria |
1 |
.0 |
.0 |
98.5 |
| 55 Canada |
1 |
.0 |
.0 |
98.5 |
| 57 Tanzania |
1 |
.0 |
.0 |
98.5 |
| 58 Cyprus |
1 |
.0 |
.0 |
98.5 |
| 61 Brasil |
3 |
.0 |
.0 |
98.5 |
| 71 Ireland |
1 |
.0 |
.0 |
98.5 |
| 73 Moldovia |
1 |
.0 |
.0 |
98.5 |
| 74 Kasachstan |
172 |
.8 |
.8 |
99.3 |
| 76 Libanon |
2 |
.0 |
.0 |
99.3 |
| 77 Kirgistan |
11 |
.1 |
.1 |
99.4 |
| 78 Ukraine |
42 |
.2 |
.2 |
99.6 |
| 79 Algeria |
1 |
.0 |
.0 |
99.6 |
| 80 Mozambique |
1 |
.0 |
.0 |
99.6 |
| 82 Tajikistan |
9 |
.0 |
.0 |
99.6 |
| 83 Vietnam |
2 |
.0 |
.0 |
99.7 |
| 86 South Africa |
2 |
.0 |
.0 |
99.7 |
| 89 Eritrea |
1 |
.0 |
.0 |
99.7 |
| 97 Uzbekistan |
2 |
.0 |
.0 |
99.7 |
| 101 Estonia |
1 |
.0 |
.0 |
99.7 |
| 103 Latvia |
2 |
.0 |
.0 |
99.7 |
| 105 Namibia |
4 |
.0 |
.0 |
99.7 |
| 113 Botswana |
1 |
.0 |
.0 |
99.7 |
| 116 Luxembourg |
1 |
.0 |
.0 |
99.7 |
| 117 Belgium |
3 |
.0 |
.0 |
99.7 |
| 118 Netherlands |
8 |
.0 |
.0 |
99.8 |
| 119 Croatia |
9 |
.0 |
.0 |
99.8 |
| 120 Bosnia/Herzegowina |
9 |
.0 |
.0 |
99.9 |
| 121 Macedonia |
4 |
.0 |
.0 |
99.9 |
| 122 Slovenia |
6 |
.0 |
.0 |
99.9 |
| 123 Slovak Republic |
9 |
.0 |
.0 |
99.9 |
| 124 Paraguay |
3 |
.0 |
.0 |
100.0 |
| 125 Guinea |
1 |
.0 |
.0 |
100.0 |
| 132 White-Russia |
1 |
.0 |
.0 |
100.0 |
| 140 Kosovo-Albania |
1 |
.0 |
.0 |
100.0 |
| 142 Sudan |
1 |
.0 |
.0 |
100.0 |
| 146 Lithuania |
4 |
.0 |
.0 |
100.0 |
| Total |
20948 |
96.6 |
100.0 |
|
| Missing |
-1 question not asked (child) |
733 |
3.4 |
|
|
| Total |
21681 |
100.0 |
|
|
PEDUC PERSON EDUCATIONAL LEVEL
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 secondary general education (Hauptschule) |
8490 |
39.2 |
40.0 |
40.0 |
| 2 secondary general education , 1st stage (Realschule) |
5517 |
25.4 |
26.0 |
66.0 |
| 3 secondary general education , 2nd stage (Abitur) |
1336 |
6.2 |
6.3 |
72.3 |
| 4 academy (Fachoberschule) |
531 |
2.4 |
2.5 |
74.8 |
| 5 technical college (Fachhochschule) |
1132 |
5.2 |
5.3 |
80.2 |
| 6 university (Universitaet) |
1525 |
7.0 |
7.2 |
87.3 |
| 7 foreign university (Hochschule im Ausland) |
328 |
1.5 |
1.5 |
88.9 |
| 8 technical school GDR (Ingenieurfachschule Ost) |
149 |
.7 |
.7 |
89.6 |
| 9 university GDR (Hochschule Ost) |
144 |
.7 |
.7 |
90.3 |
| 10 other diploma |
303 |
1.4 |
1.4 |
91.7 |
| 11 left school without diplom |
520 |
2.4 |
2.5 |
94.2 |
| 12 still in education |
1241 |
5.7 |
5.8 |
100.0 |
| Total |
21216 |
97.9 |
100.0 |
|
| Missing |
-1 question not asked (child) |
16 |
.1 |
|
|
| System |
449 |
2.1 |
|
|
| Total |
465 |
2.1 |
|
|
| Total |
21681 |
100.0 |
|
|
PTOCC PERSON OCCUPATIONAL TRAINING
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 apprentice (Lehre) |
8770 |
40.5 |
65.2 |
65.2 |
| 2 specialized vocational school (Berufsfachschule) |
1917 |
8.8 |
14.2 |
79.4 |
| 3 health care school (Gesundheitswezen) |
406 |
1.9 |
3.0 |
82.4 |
| 4 technical school (Fachschule, Meisterausbildung) |
1357 |
6.3 |
10.1 |
92.5 |
| 5 civil servants training (Beamtenausbildung) |
526 |
2.4 |
3.9 |
96.4 |
| 6 other vocational training |
480 |
2.2 |
3.6 |
100.0 |
| Total |
13456 |
62.1 |
100.0 |
|
| Missing |
-1 |
7944 |
36.6 |
|
|
| System |
281 |
1.3 |
|
|
| Total |
8225 |
37.9 |
|
|
| Total |
21681 |
100.0 |
|
|
PLFS PERSON LABOUR FORCE STATUS
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
1 employed, full-time |
8602 |
39.7 |
41.1 |
41.1 |
| 2 employed, part-time |
2628 |
12.1 |
12.5 |
53.6 |
| 3 paid apprenticeship, trainee |
660 |
3.0 |
3.2 |
56.8 |
| 4 compulsory military or civil service |
93 |
.4 |
.4 |
57.2 |
| 5 unemployed |
1274 |
5.9 |
6.1 |
63.3 |
| 6 student |
1012 |
4.7 |
4.8 |
68.1 |
| 7 retired |
4882 |
22.5 |
23.3 |
91.4 |
| 8 other not working |
1797 |
8.3 |
8.6 |
100.0 |
| Total |
20948 |
96.6 |
100.0 |
|
| Missing |
-1 question not asked (child) |
733 |
3.4 |
|
|
| Total |
21681 |
100.0 |
|
|
POCC PERSON OCCUPATION
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
| Valid |
110 armed forces |
40 |
.2 |
.4 |
.4 |
| 1110 legislators |
4 |
.0 |
.0 |
.4 |
| 1142 senior officials economic-interest organisations |
7 |
.0 |
.1 |
.5 |
| 1200 corporate managers |
44 |
.2 |
.4 |
.9 |
| 1210 directors & chief executives |
65 |
.3 |
.6 |
1.6 |
| 1221 department managers agriculture, hunting, forestry,fishing |
1 |
.0 |
.0 |
1.6 |
| 1222 department managers manufacturing |
53 |
.2 |
.5 |
2.1 |
| 1225 department managers restaurants & hotels |
10 |
.0 |
.1 |
2.2 |
| 1226 department managers transport, storage, communications |
1 |
.0 |
.0 |
2.2 |
| 1227 department managers business services |
20 |
.1 |
.2 |
2.4 |
| 1229 operations department managers nec |
15 |
.1 |
.1 |
2.5 |
| 1231 finance & administration department managers |
7 |
.0 |
.1 |
2.6 |
| 1232 personnel & industrial relations department managers |
14 |
.1 |
.1 |
2.7 |
| 1233 sales & marketing department managers |
90 |
.4 |
.9 |
3.6 |
| 1234 advertising & public relations department managers |
5 |
.0 |
.0 |
3.7 |
| 1235 supply & distribution department managers |
4 |
.0 |
.0 |
3.7 |
| 1236 computing services department managers |
11 |
.1 |
.1 |
3.8 |
| 1239 other department managers nec |
5 |
.0 |
.0 |
3.9 |
| 1300 general managers |
26 |
.1 |
.3 |
4.1 |
| 1312 general managers manufacturing |
3 |
.0 |
.0 |
4.1 |
| 1313 general managers construction |
9 |
.0 |
.1 |
4.2 |
| 1314 general managers wholesale & retail trade |
96 |
.4 |
.9 |
5.2 |
| 1315 general managers restaurants & hotels |
56 |
.3 |
.5 |
5.7 |
| 1316 general managers transport, storage & communications |
13 |
.1 |
.1 |
5.8 |
| 1317 general managers business services |
3 |
.0 |
.0 |
5.9 |
| 1318 general managers personal care, cleaning etc services |
2 |
.0 |
.0 |
5.9 |
| 1319 general managers nec |
7 |
.0 |
.1 |
5.9 |
| 2111 physicists & astronomers |
4 |
.0 |
.0 |
6.0 |
| 2112 meteorologists |
1 |
.0 |
.0 |
6.0 |
| 2113 chemists |
14 |
.1 |
.1 |
6.1 |
| 2114 geologists & geophysicists |
1 |
.0 |
.0 |
6.1 |
| 2121 mathematicians etc professionals |
5 |
.0 |
.0 |
6.2 |
| 2122 statisticians |
1 |
.0 |
.0 |
6.2 |
| 2131 computer systems designers & analysts |
28 |
.1 |
.3 |
6.5 |
| 2139 computing professionals nec |
67 |
.3 |
.7 |
7.1 |
| 2141 architects town & traffic planners |
32 |
.1 |
.3 |
7.4 |
| 2142 civil engineers |
72 |
.3 |
.7 |
8.1 |
| 2143 electrical engineers |
38 |
.2 |
.4 |
8.5 |
| 2144 electronics & telecommunications engineers |
19 |
.1 |
.2 |
8.7 |
| 2145 mechanical engineers |
59 |
.3 |
.6 |
9.3 |
| 2146 chemical engineers |
19 |
.1 |
.2 |
9.4 |
| 2147 mining engineers metallurgists etc professionals |
6 |
.0 |
.1 |
9.5 |
| 2148 cartographers & surveyors |
8 |
.0 |
.1 |
9.6 |
| 2149 architects engineers etc professionals nec |
136 |
.6 |
1.3 |
10.9 |
| 2211 biologists, botanists zoologists etc professionals |
9 |
.0 |
.1 |
11.0 |
| 2212 pharmacologists, pathologists etc professionals |
1 |
.0 |
.0 |
11.0 |
| 2213 agronomists etc professionals |
5 |
.0 |
.0 |
11.1 |
| 2221 medical doctors |
59 |
.3 |
.6 |
11.6 |
| 2222 dentists |
23 |
.1 |
.2 |
11.8 |
| 2223 veterinarians |
6 |
.0 |
.1 |
11.9 |
| 2224 pharmacists |
14 |
.1 |
.1 |
12.0 |
| 2310 higher education teaching professionals |
31 |
.1 |
.3 |
12.3 |
|
|---|