Geolocet | Latest Demographic Data | Denmark at Municipality Level - age, gender, marital status, nationality, employment, families, and more
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Volume
~ 87
Records
Depth
566
Attributes
Size
230 KB
Size
Format
.csv
File
Price
$3.41
per record
Freshness
December 2023
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Kommune
|
String | Aabenraa | |
Polygon ID
|
Integer | 3856933 | |
Polygon Name
|
String | Aabenraa Kommune | |
Total Population
|
Integer | 59002 | |
Males
|
Integer | 29422 | |
Females
|
Integer | 29580 | |
Pop 0-4 years
|
Integer | 2817 | |
Pop 5-9 years
|
Integer | 3003 | |
Pop 10-14 years
|
Integer | 3355 | |
Pop 15-19 years
|
Integer | 3774 | |
Pop 20-24 years
|
Integer | 2645 | |
Pop 25-29 years
|
Integer | 2652 | |
Pop 30-34 years
|
Integer | 3117 | |
Pop 35-39 years
|
Integer | 3075 | |
Pop 40-44 years
|
Integer | 3276 | |
Pop 45-49 years
|
Integer | 3744 | |
Pop 50-54 years
|
Integer | 4089 | |
Pop 55-59 years
|
Integer | 4655 | |
Pop 60-64 years
|
Integer | 4144 | |
Pop 65-69 years
|
Integer | 3938 | |
Pop 70-74 years
|
Integer | 3686 | |
Pop 75-79 years
|
Integer | 3340 | |
Pop 80-84 years
|
Integer | 2051 | |
Pop 85-89 years
|
Integer | 1085 | |
Pop 90-94 years
|
Integer | 429 | |
Pop 95-99 years
|
Integer | 121 | |
Pop 100-104 years
|
Integer | 6 | |
Pop 105-109 years
|
Integer | 0 | |
Pop 110 years +
|
Integer | 0 | |
Males 0-4 years
|
Integer | 1417 | |
Males 5-9 years
|
Integer | 1526 | |
Males 10-14 years
|
Integer | 1751 | |
Males 15-19 years
|
Integer | 1887 | |
Males 20-24 years
|
Integer | 1410 | |
Males 25-29 years
|
Integer | 1382 | |
Males 30-34 years
|
Integer | 1574 | |
Males 35-39 years
|
Integer | 1558 | |
Males 40-44 years
|
Integer | 1616 | |
Males 45-49 years
|
Integer | 1880 | |
Males 50-54 years
|
Integer | 2074 | |
Males 55-59 years
|
Integer | 2347 | |
Males 60-64 years
|
Integer | 2047 | |
Males 65-69 years
|
Integer | 1942 | |
Males 70-74 years
|
Integer | 1803 | |
Males 75-79 years
|
Integer | 1617 | |
Males 80-84 years
|
Integer | 959 | |
Males 85-89 years
|
Integer | 437 | |
Males 90-94 years
|
Integer | 156 | |
Males 95-99 years
|
Integer | 37 | |
Males 100-104 years
|
Integer | 2 | |
Males 105-109 years
|
Integer | 0 | |
Males 110 years +
|
Integer | 0 | |
Females 0-4 years
|
Integer | 1400 | |
Females 5-9 years
|
Integer | 1477 | |
Females 10-14 years
|
Integer | 1604 | |
Females 15-19 years
|
Integer | 1887 | |
Females 20-24 years
|
Integer | 1235 | |
Females 25-29 years
|
Integer | 1270 | |
Females 30-34 years
|
Integer | 1543 | |
Females 35-39 years
|
Integer | 1517 | |
Females 40-44 years
|
Integer | 1660 | |
Females 45-49 years
|
Integer | 1864 | |
Females 50-54 years
|
Integer | 2015 | |
Females 55-59 years
|
Integer | 2308 | |
Females 60-64 years
|
Integer | 2097 | |
Females 65-69 years
|
Integer | 1996 | |
Females 70-74 years
|
Integer | 1883 | |
Females 75-79 years
|
Integer | 1723 | |
Females 80-84 years
|
Integer | 1092 | |
Females 85-89 years
|
Integer | 648 | |
Females 90-94 years
|
Integer | 273 | |
Females 95-99 years
|
Integer | 84 | |
Females 100-104 years
|
Integer | 4 | |
Females 105-109 years
|
Integer | 0 | |
Females 110 years +
|
Integer | 0 | |
H10 Primary education
|
Integer | 11160 | |
H1001 No education
|
Integer | 140 | |
H20 Upper secondary education
|
Integer | 2886 | |
H30 Vocational Education and Training (VET)
|
Integer | 14791 | |
H35 Qualifying educational programs
|
Integer | 10 | |
H40 Short cycle higher education
|
Integer | 1961 | |
H50 Vocational bachelors educations
|
Integer | 5419 | |
H60 Bachelors programs
|
Integer | 295 | |
H70 Masters programs
|
Integer | 1923 | |
H80 PhD programs
|
Integer | 152 | |
H90 Not stated
|
Integer | 558 | |
Males H10 Primary education
|
Integer | 5912 | |
Males H1001 No education
|
Integer | 54 | |
Males H20 Upper secondary education
|
Integer | 1258 | |
Males H30 Vocational Education and Training (VET)
|
Integer | 8382 | |
Males H35 Qualifying educational programs
|
Integer | 6 | |
Males H40 Short cycle higher education
|
Integer | 1119 | |
Males H50 Vocational bachelors educations
|
Integer | 1629 | |
Males H60 Bachelors programs
|
Integer | 132 | |
Males H70 Masters programs
|
Integer | 931 | |
Males H80 PhD programs
|
Integer | 84 | |
Males H90 Not stated
|
Integer | 337 | |
Females H10 Primary education
|
Integer | 5248 | |
Females H1001 No education
|
Integer | 86 | |
Females H20 Upper secondary education
|
Integer | 1628 | |
Females H30 Vocational Education and Training (VET)
|
Integer | 6409 | |
Females H35 Qualifying educational programs
|
Integer | 4 | |
Females H40 Short cycle higher education
|
Integer | 842 | |
Females H50 Vocational bachelors educations
|
Integer | 3790 | |
Females H60 Bachelors programs
|
Integer | 163 | |
Females H70 Masters programs
|
Integer | 992 | |
Females H80 PhD programs
|
Integer | 68 | |
Females H90 Not stated
|
Integer | 221 | |
Pop of Danish orifin - H10 Primary education
|
Integer | 9343 | |
Pop of Danish orifin - H1001 No education
|
Integer | 0 | |
Pop of Danish orifin - H20 Upper secondary education
|
Integer | 2215 | |
Pop of Danish orifin - H30 Vocational Education and Training (VET)
|
Integer | 12845 | |
Pop of Danish orifin - H35 Qualifying educational programs
|
Integer | 7 | |
Pop of Danish orifin - H40 Short cycle higher education
|
Integer | 1420 | |
Pop of Danish orifin - H50 Vocational bachelors educations
|
Integer | 4324 | |
Pop of Danish orifin - H60 Bachelors programs
|
Integer | 233 | |
Pop of Danish orifin - H70 Masters programs
|
Integer | 1249 | |
Pop of Danish orifin - H80 PhD programs
|
Integer | 42 | |
Pop of Danish orifin - H90 Not stated
|
Integer | 250 | |
Males of Danish orifin - H10 Primary education
|
Integer | 4994 | |
Males of Danish orifin - H1001 No education
|
Integer | 0 | |
Males of Danish orifin - H20 Upper secondary education
|
Integer | 930 | |
Males of Danish orifin - H30 Vocational Education and Training (VET)
|
Integer | 7404 | |
Males of Danish orifin - H35 Qualifying educational programs
|
Integer | 5 | |
Males of Danish orifin - H40 Short cycle higher education
|
Integer | 817 | |
Males of Danish orifin - H50 Vocational bachelors educations
|
Integer | 1179 | |
Males of Danish orifin - H60 Bachelors programs
|
Integer | 107 | |
Males of Danish orifin - H70 Masters programs
|
Integer | 617 | |
Males of Danish orifin - H80 PhD programs
|
Integer | 27 | |
Males of Danish orifin - H90 Not stated
|
Integer | 175 | |
Females of Danish orifin - H10 Primary education
|
Integer | 4349 | |
Females of Danish orifin - H1001 No education
|
Integer | 0 | |
Females of Danish orifin - H20 Upper secondary education
|
Integer | 1285 | |
Females of Danish orifin - H30 Vocational Education and Training (VET)
|
Integer | 5441 | |
Females of Danish orifin - H35 Qualifying educational programs
|
Integer | 2 | |
Females of Danish orifin - H40 Short cycle higher education
|
Integer | 603 | |
Females of Danish orifin - H50 Vocational bachelors educations
|
Integer | 3145 | |
Females of Danish orifin - H60 Bachelors programs
|
Integer | 126 | |
Females of Danish orifin - H70 Masters programs
|
Integer | 632 | |
Females of Danish orifin - H80 PhD programs
|
Integer | 15 | |
Females of Danish orifin - H90 Not stated
|
Integer | 75 | |
Pop Immigrants - H10 Primary education
|
Integer | 1552 | |
Pop Immigrants - H1001 No education
|
Integer | 140 | |
Pop Immigrants - H20 Upper secondary education
|
Integer | 560 | |
Pop Immigrants - H30 Vocational Education and Training (VET)
|
Integer | 1847 | |
Pop Immigrants - H35 Qualifying educational programs
|
Integer | 3 | |
Pop Immigrants - H40 Short cycle higher education
|
Integer | 520 | |
Pop Immigrants - H50 Vocational bachelors educations
|
Integer | 1045 | |
Pop Immigrants - H60 Bachelors programs
|
Integer | 59 | |
Pop Immigrants - H70 Masters programs
|
Integer | 650 | |
Pop Immigrants - H80 PhD programs
|
Integer | 108 | |
Pop Immigrants - H90 Not stated
|
Integer | 297 | |
Males Immigrants - H10 Primary education
|
Integer | 782 | |
Males Immigrants - H1001 No education
|
Integer | 54 | |
Males Immigrants - H20 Upper secondary education
|
Integer | 269 | |
Males Immigrants - H30 Vocational Education and Training (VET)
|
Integer | 929 | |
Males Immigrants - H35 Qualifying educational programs
|
Integer | 1 | |
Males Immigrants - H40 Short cycle higher education
|
Integer | 286 | |
Males Immigrants - H50 Vocational bachelors educations
|
Integer | 432 | |
Males Immigrants - H60 Bachelors programs
|
Integer | 23 | |
Males Immigrants - H70 Masters programs
|
Integer | 301 | |
Males Immigrants - H80 PhD programs
|
Integer | 56 | |
Males Immigrants - H90 Not stated
|
Integer | 154 | |
Females Immigrants - H10 Primary education
|
Integer | 770 | |
Females Immigrants - H1001 No education
|
Integer | 86 | |
Females Immigrants - H20 Upper secondary education
|
Integer | 291 | |
Females Immigrants - H30 Vocational Education and Training (VET)
|
Integer | 918 | |
Females Immigrants - H35 Qualifying educational programs
|
Integer | 2 | |
Females Immigrants - H40 Short cycle higher education
|
Integer | 234 | |
Females Immigrants - H50 Vocational bachelors educations
|
Integer | 613 | |
Females Immigrants - H60 Bachelors programs
|
Integer | 36 | |
Females Immigrants - H70 Masters programs
|
Integer | 349 | |
Females Immigrants - H80 PhD programs
|
Integer | 52 | |
Females Immigrants - H90 Not stated
|
Integer | 143 | |
Pop Descendant - H10 Primary education
|
Integer | 265 | |
Pop Descendant - H1001 No education
|
Integer | 0 | |
Pop Descendant - H20 Upper secondary education
|
Integer | 111 | |
Pop Descendant - H30 Vocational Education and Training (VET)
|
Integer | 99 | |
Pop Descendant - H35 Qualifying educational programs
|
Integer | 0 | |
Pop Descendant - H40 Short cycle higher education
|
Integer | 21 | |
Pop Descendant - H50 Vocational bachelors educations
|
Integer | 50 | |
Pop Descendant - H60 Bachelors programs
|
Integer | 3 | |
Pop Descendant - H70 Masters programs
|
Integer | 24 | |
Pop Descendant - H80 PhD programs
|
Integer | 2 | |
Pop Descendant - H90 Not stated
|
Integer | 11 | |
Males Descendant - H10 Primary education
|
Integer | 136 | |
Males Descendant - H1001 No education
|
Integer | 0 | |
Males Descendant - H20 Upper secondary education
|
Integer | 59 | |
Males Descendant - H30 Vocational Education and Training (VET)
|
Integer | 49 | |
Males Descendant - H35 Qualifying educational programs
|
Integer | 0 | |
Males Descendant - H40 Short cycle higher education
|
Integer | 16 | |
Males Descendant - H50 Vocational bachelors educations
|
Integer | 18 | |
Males Descendant - H60 Bachelors programs
|
Integer | 2 | |
Males Descendant - H70 Masters programs
|
Integer | 13 | |
Males Descendant - H80 PhD programs
|
Integer | 1 | |
Males Descendant - H90 Not stated
|
Integer | 8 | |
Females Descendant - H10 Primary education
|
Integer | 129 | |
Females Descendant - H1001 No education
|
Integer | 0 | |
Females Descendant - H20 Upper secondary education
|
Integer | 52 | |
Females Descendant - H30 Vocational Education and Training (VET)
|
Integer | 50 | |
Females Descendant - H35 Qualifying educational programs
|
Integer | 0 | |
Females Descendant - H40 Short cycle higher education
|
Integer | 5 | |
Females Descendant - H50 Vocational bachelors educations
|
Integer | 32 | |
Females Descendant - H60 Bachelors programs
|
Integer | 1 | |
Females Descendant - H70 Masters programs
|
Integer | 11 | |
Females Descendant - H80 PhD programs
|
Integer | 1 | |
Females Descendant - H90 Not stated
|
Integer | 3 | |
Danish
|
Integer | 51324 | |
Foreigners
|
Integer | 7678 | |
Males Danish
|
Integer | 25592 | |
Females Danish
|
Integer | 25732 | |
Males foreigners
|
Integer | 3830 | |
Females foreigners
|
Integer | 3848 | |
Danish 0-4 years
|
Integer | 2335 | |
Danish 5-9 years
|
Integer | 2484 | |
Danish 10-14 years
|
Integer | 2914 | |
Danish 15-19 years
|
Integer | 3312 | |
Danish 20-24 years
|
Integer | 2248 | |
Danish 25-29 years
|
Integer | 2175 | |
Danish 30-34 years
|
Integer | 2443 | |
Danish 35-39 years
|
Integer | 2370 | |
Danish 40-44 years
|
Integer | 2566 | |
Danish 45-49 years
|
Integer | 3195 | |
Danish 50-54 years
|
Integer | 3583 | |
Danish 55-59 years
|
Integer | 4130 | |
Danish 60-64 years
|
Integer | 3730 | |
Danish 65-69 years
|
Integer | 3658 | |
Danish 70-74 years
|
Integer | 3464 | |
Danish 75-79 years
|
Integer | 3199 | |
Danish 80-84 years
|
Integer | 1949 | |
Danish 85-89 years
|
Integer | 1043 | |
Danish 90-94 years
|
Integer | 404 | |
Danish 95-99 years
|
Integer | 116 | |
Danish 100 years and over
|
Integer | 6 | |
Foreigners 0-4 years
|
Integer | 482 | |
Foreigners 5-9 years
|
Integer | 519 | |
Foreigners 10-14 years
|
Integer | 441 | |
Foreigners 15-19 years
|
Integer | 462 | |
Foreigners 20-24 years
|
Integer | 397 | |
Foreigners 25-29 years
|
Integer | 477 | |
Foreigners 30-34 years
|
Integer | 674 | |
Foreigners 35-39 years
|
Integer | 705 | |
Foreigners 40-44 years
|
Integer | 710 | |
Foreigners 45-49 years
|
Integer | 549 | |
Foreigners 50-54 years
|
Integer | 506 | |
Foreigners 55-59 years
|
Integer | 525 | |
Foreigners 60-64 years
|
Integer | 414 | |
Foreigners 65-69 years
|
Integer | 280 | |
Foreigners 70-74 years
|
Integer | 222 | |
Foreigners 75-79 years
|
Integer | 141 | |
Foreigners 80-84 years
|
Integer | 102 | |
Foreigners 85-89 years
|
Integer | 42 | |
Foreigners 90-94 years
|
Integer | 25 | |
Foreigners 95-99 years
|
Integer | 5 | |
Foreigners 100 years and over
|
Integer | 0 | |
Males Danish 0-4 years
|
Integer | 1167 | |
Males Danish 5-9 years
|
Integer | 1241 | |
Males Danish 10-14 years
|
Integer | 1517 | |
Males Danish 15-19 years
|
Integer | 1670 | |
Males Danish 20-24 years
|
Integer | 1215 | |
Males Danish 25-29 years
|
Integer | 1134 | |
Males Danish 30-34 years
|
Integer | 1249 | |
Males Danish 35-39 years
|
Integer | 1232 | |
Males Danish 40-44 years
|
Integer | 1272 | |
Males Danish 45-49 years
|
Integer | 1628 | |
Males Danish 50-54 years
|
Integer | 1808 | |
Males Danish 55-59 years
|
Integer | 2090 | |
Males Danish 60-64 years
|
Integer | 1869 | |
Males Danish 65-69 years
|
Integer | 1782 | |
Males Danish 70-74 years
|
Integer | 1679 | |
Males Danish 75-79 years
|
Integer | 1542 | |
Males Danish 80-84 years
|
Integer | 894 | |
Males Danish 85-89 years
|
Integer | 428 | |
Males Danish 90-94 years
|
Integer | 138 | |
Males Danish 95-99 years
|
Integer | 35 | |
Males Danish 100 years and over
|
Integer | 2 | |
Females Danish 0-4 years
|
Integer | 1168 | |
Females Danish 5-9 years
|
Integer | 1243 | |
Females Danish 10-14 years
|
Integer | 1397 | |
Females Danish 15-19 years
|
Integer | 1642 | |
Females Danish 20-24 years
|
Integer | 1033 | |
Females Danish 25-29 years
|
Integer | 1041 | |
Females Danish 30-34 years
|
Integer | 1194 | |
Females Danish 35-39 years
|
Integer | 1138 | |
Females Danish 40-44 years
|
Integer | 1294 | |
Females Danish 45-49 years
|
Integer | 1567 | |
Females Danish 50-54 years
|
Integer | 1775 | |
Females Danish 55-59 years
|
Integer | 2040 | |
Females Danish 60-64 years
|
Integer | 1861 | |
Females Danish 65-69 years
|
Integer | 1876 | |
Females Danish 70-74 years
|
Integer | 1785 | |
Females Danish 75-79 years
|
Integer | 1657 | |
Females Danish 80-84 years
|
Integer | 1055 | |
Females Danish 85-89 years
|
Integer | 615 | |
Females Danish 90-94 years
|
Integer | 266 | |
Females Danish 95-99 years
|
Integer | 81 | |
Females Danish 100 years and over
|
Integer | 4 | |
Males Foreigners 0-4 years
|
Integer | 250 | |
Males Foreigners 5-9 years
|
Integer | 285 | |
Males Foreigners 10-14 years
|
Integer | 234 | |
Males Foreigners 15-19 years
|
Integer | 217 | |
Males Foreigners 20-24 years
|
Integer | 195 | |
Males Foreigners 25-29 years
|
Integer | 248 | |
Males Foreigners 30-34 years
|
Integer | 325 | |
Males Foreigners 35-39 years
|
Integer | 326 | |
Males Foreigners 40-44 years
|
Integer | 344 | |
Males Foreigners 45-49 years
|
Integer | 252 | |
Males Foreigners 50-54 years
|
Integer | 266 | |
Males Foreigners 55-59 years
|
Integer | 257 | |
Males Foreigners 60-64 years
|
Integer | 178 | |
Males Foreigners 65-69 years
|
Integer | 160 | |
Males Foreigners 70-74 years
|
Integer | 124 | |
Males Foreigners 75-79 years
|
Integer | 75 | |
Males Foreigners 80-84 years
|
Integer | 65 | |
Males Foreigners 85-89 years
|
Integer | 9 | |
Males Foreigners 90-94 years
|
Integer | 18 | |
Males Foreigners 95-99 years
|
Integer | 2 | |
Males Foreigners 100 years and over
|
Integer | 0 | |
Females Foreigners 0-4 years
|
Integer | 232 | |
Females Foreigners 5-9 years
|
Integer | 234 | |
Females Foreigners 10-14 years
|
Integer | 207 | |
Females Foreigners 15-19 years
|
Integer | 245 | |
Females Foreigners 20-24 years
|
Integer | 202 | |
Females Foreigners 25-29 years
|
Integer | 229 | |
Females Foreigners 30-34 years
|
Integer | 349 | |
Females Foreigners 35-39 years
|
Integer | 379 | |
Females Foreigners 40-44 years
|
Integer | 366 | |
Females Foreigners 45-49 years
|
Integer | 297 | |
Females Foreigners 50-54 years
|
Integer | 240 | |
Females Foreigners 55-59 years
|
Integer | 268 | |
Females Foreigners 60-64 years
|
Integer | 236 | |
Females Foreigners 65-69 years
|
Integer | 120 | |
Females Foreigners 70-74 years
|
Integer | 98 | |
Females Foreigners 75-79 years
|
Integer | 66 | |
Females Foreigners 80-84 years
|
Integer | 37 | |
Females Foreigners 85-89 years
|
Integer | 33 | |
Females Foreigners 90-94 years
|
Integer | 7 | |
Females Foreigners 95-99 years
|
Integer | 3 | |
Females Foreigners 100 years and over
|
Integer | 0 | |
Employed
|
Integer | 28440 | |
Unemplyed
|
Integer | 505 | |
Outside labour force
|
Integer | 30057 | |
Employed males
|
Integer | 15319 | |
Unemplyed males
|
Integer | 276 | |
Outside labour force males
|
Integer | 13827 | |
Employed females
|
Integer | 13121 | |
Unemployed females
|
Integer | 229 | |
Outside labour force females
|
Integer | 16230 | |
Employed under 19
|
Integer | 2326 | |
Employed 20-24 years
|
Integer | 1898 | |
Employed 25-29 years
|
Integer | 2002 | |
Employed 30-34 years
|
Integer | 2467 | |
Employed 35-39 years
|
Integer | 2479 | |
Employed 40-44 years
|
Integer | 2669 | |
Employed 45-49 years
|
Integer | 3084 | |
Employed 50-54 years
|
Integer | 3288 | |
Employed 55-59 years
|
Integer | 3642 | |
Employed 60-64 years
|
Integer | 2718 | |
Employed 65+
|
Integer | 1867 | |
Unemployed under 19 years
|
Integer | 3 | |
Unemployed 20-24 years
|
Integer | 27 | |
Unemployed 25-29 years
|
Integer | 72 | |
Unemployed 30-34 years
|
Integer | 76 | |
Unemployed 35-39 years
|
Integer | 70 | |
Unemployed 40-44 years
|
Integer | 44 | |
Unemployed 45-49 years
|
Integer | 50 | |
Unemployed 50-54 years
|
Integer | 45 | |
Unemployed 55-59 years
|
Integer | 51 | |
Unemployed 60-64 years
|
Integer | 50 | |
Unemployed 65+ years
|
Integer | 17 | |
Outside labour force under 19 years
|
Integer | 10620 | |
Outside labour force 20-24 years
|
Integer | 720 | |
Outside labour force 25-29 years
|
Integer | 578 | |
Outside labour force 30-34 years
|
Integer | 574 | |
Outside labour force 35-39 years
|
Integer | 526 | |
Outside labour force 40-44 years
|
Integer | 563 | |
Outside labour force 45-49 years
|
Integer | 610 | |
Outside labour force 50-54 years
|
Integer | 756 | |
Outside labour force 55-59 years
|
Integer | 962 | |
Outside labour force 60-64 years
|
Integer | 1376 | |
Outside labour force 65+ years
|
Integer | 12772 | |
Employed males under 19
|
Integer | 1177 | |
Employed males 20-24 years
|
Integer | 1058 | |
Employed males 25-29 years
|
Integer | 1094 | |
Employed males 30-34 years
|
Integer | 1328 | |
Employed males 35-39 years
|
Integer | 1317 | |
Employed males 40-44 years
|
Integer | 1376 | |
Employed males 45-49 years
|
Integer | 1588 | |
Employed males 50-54 years
|
Integer | 1715 | |
Employed males 55-59 years
|
Integer | 1885 | |
Employed males 60-64 years
|
Integer | 1449 | |
Employed males 65+
|
Integer | 1332 | |
Unemployed males under 19 years
|
Integer | 2 | |
Unemployed males 20-24 years
|
Integer | 19 | |
Unemployed males 25-29 years
|
Integer | 37 | |
Unemployed males 30-34 years
|
Integer | 35 | |
Unemployed males 35-39 years
|
Integer | 34 | |
Unemployed males 40-44 years
|
Integer | 24 | |
Unemployed males 45-49 years
|
Integer | 30 | |
Unemployed males 50-54 years
|
Integer | 26 | |
Unemployed males 55-59 years
|
Integer | 30 | |
Unemployed males 60-64 years
|
Integer | 29 | |
Unemployed males 65+ years
|
Integer | 10 | |
Outside labour force males under 19 years
|
Integer | 5402 | |
Outside labour force males 20-24 years
|
Integer | 333 | |
Outside labour force males 25-29 years
|
Integer | 251 | |
Outside labour force males 30-34 years
|
Integer | 211 | |
Outside labour force males 35-39 years
|
Integer | 207 | |
Outside labour force males 40-44 years
|
Integer | 216 | |
Outside labour force males 45-49 years
|
Integer | 262 | |
Outside labour force males 50-54 years
|
Integer | 333 | |
Outside labour force males 55-59 years
|
Integer | 432 | |
Outside labour force males 60-64 years
|
Integer | 569 | |
Outside labour force males 65+ years
|
Integer | 5611 | |
Employed females under 19 years
|
Integer | 1149 | |
Employed females 20-24 years
|
Integer | 840 | |
Employed females 25-29 years
|
Integer | 908 | |
Employed females 30-34 years
|
Integer | 1139 | |
Employed females 35-39 years
|
Integer | 1162 | |
Employed females 40-44 years
|
Integer | 1293 | |
Employed females 45-49 years
|
Integer | 1496 | |
Employed females 50-54 years
|
Integer | 1573 | |
Employed females 55-59 years
|
Integer | 1757 | |
Employed females 60-64 years
|
Integer | 1269 | |
Employed females 65+
|
Integer | 535 | |
Unemployed females under 19 years
|
Integer | 1 | |
Unemployed females 20-24 years
|
Integer | 8 | |
Unemployed females 25-29 years
|
Integer | 35 | |
Unemployed females 30-34 years
|
Integer | 41 | |
Unemployed females 35-39 years
|
Integer | 36 | |
Unemployed females 40-44 years
|
Integer | 20 | |
Unemployed females 45-49 years
|
Integer | 20 | |
Unemployed females 50-54 years
|
Integer | 19 | |
Unemployed females 55-59 years
|
Integer | 21 | |
Unemployed females 60-64 years
|
Integer | 21 | |
Unemployed females 65+ years
|
Integer | 7 | |
Outside labour force females Under 19 years
|
Integer | 5218 | |
Outside labour force females 20-24 years
|
Integer | 387 | |
Outside labour force females 25-29 years
|
Integer | 327 | |
Outside labour force females 30-34 years
|
Integer | 363 | |
Outside labour force females 35-39 years
|
Integer | 319 | |
Outside labour force females 40-44 years
|
Integer | 347 | |
Outside labour force females 45-49 years
|
Integer | 348 | |
Outside labour force females 50-54 years
|
Integer | 423 | |
Outside labour force females 55-59 years
|
Integer | 530 | |
Outside labour force females 60-64 years
|
Integer | 807 | |
Outside labour force females 65+ years
|
Integer | 7161 | |
Families - Single men
|
Integer | 7417 | |
Families -Single women
|
Integer | 8142 | |
Families -Different-sex married couple
|
Integer | 11356 | |
Families -Same-sex married couple
|
Integer | 30 | |
Families -Registered partnership
|
Integer | 16 | |
Families -Couple living in consensual union
|
Integer | 1352 | |
Families -Cohabiting couples
|
Integer | 2066 | |
Families -Children below 18 years not living with parents
|
Integer | 341 | |
Families - 0 children
|
Integer | 23188 | |
Families -1 child
|
Integer | 3169 | |
Families -2 children
|
Integer | 3084 | |
Families -3 children
|
Integer | 1044 | |
Families - 4 children
|
Integer | 194 | |
Families - 5 or more children
|
Integer | 41 | |
Single men 0 children
|
Integer | 7034 | |
Single men 1 child
|
Integer | 305 | |
Single men 2 children
|
Integer | 62 | |
Single men 3 children
|
Integer | 13 | |
Single men 4 children
|
Integer | 2 | |
Single men 5 or more children
|
Integer | 1 | |
Single women 0 children
|
Integer | 6677 | |
Single women 1 child
|
Integer | 797 | |
Single women 2 children
|
Integer | 513 | |
Single women 3 children
|
Integer | 121 | |
Single women 4 children
|
Integer | 29 | |
Single women 5 or more children
|
Integer | 5 | |
Different-sex married couple 0 children
|
Integer | 7202 | |
Different-sex married couple 1 child
|
Integer | 1355 | |
Different-sex married couple 2 children
|
Integer | 1906 | |
Different-sex married couple 3 children
|
Integer | 732 | |
Different-sex married couple 4 children
|
Integer | 135 | |
Different-sex married couple 5 or more children
|
Integer | 26 | |
Same-sex married couple 0 children
|
Integer | 23 | |
Same-sex married couple 1 child
|
Integer | 4 | |
Same-sex married couple 2 children
|
Integer | 1 | |
Same-sex married couple 3 children
|
Integer | 2 | |
Same-sex married couple 4 children
|
Integer | 0 | |
Same-sex married couple 5 or more children
|
Integer | 0 | |
Registered partnership 0 children
|
Integer | 15 | |
Registered partnership 1 child
|
Integer | 0 | |
Registered partnership 2 children
|
Integer | 0 | |
Registered partnership 3 children
|
Integer | 1 | |
Registered partnership 4 children
|
Integer | 0 | |
Registered partnership 5 or more children
|
Integer | 0 | |
Couple living in consensual union 0 children
|
Integer | 193 | |
Couple living in consensual union 1 child
|
Integer | 493 | |
Couple living in consensual union 2 children
|
Integer | 497 | |
Couple living in consensual union 3 children
|
Integer | 139 | |
Couple living in consensual union 4 children
|
Integer | 24 | |
Couple living in consensual union 5 or more children
|
Integer | 6 | |
Cohabiting couples 0 children
|
Integer | 1703 | |
Cohabiting couples 1 child
|
Integer | 215 | |
Cohabiting couples 2 children
|
Integer | 105 | |
Cohabiting couples 3 children
|
Integer | 36 | |
Cohabiting couples 4 children
|
Integer | 4 | |
Cohabiting couples 5 or more children
|
Integer | 3 | |
Number of dwellings
|
Integer | 31126 | |
Dwellings with registered population
|
Integer | 28232 | |
Dwellings without registered population
|
Integer | 2014 | |
Cottages without registered population
|
Integer | 880 | |
Ownership - Individuals inclusive partnerships
|
Integer | 20337 | |
Ownership - Non-profit building society
|
Integer | 5637 | |
Ownership - Limited liability company, etc.
|
Integer | 2863 | |
Ownership - Housing societies
|
Integer | 1168 | |
Ownership - Public authorities
|
Integer | 624 | |
Ownership - Other or unknown
|
Integer | 497 | |
Occupied by the owner
|
Integer | 15410 | |
Occupied by the tenant
|
Integer | 12617 | |
Unoccupied
|
Integer | 2014 | |
Occupancy - Not stated
|
Integer | 1085 | |
Dwellings with registered population Occupied by the owner
|
Integer | 15410 | |
Dwellings with registered population Occupied by the tenant
|
Integer | 12617 | |
Dwellings with registered population Occupancy - Not stated
|
Integer | 205 | |
Dwellings without registered population Unoccupied
|
Integer | 2014 | |
Cottages without registered population Occupancy - Not stated
|
Integer | 880 | |
Individuals inclusive partnerships Occupied by the owner
|
Integer | 15410 | |
Individuals inclusive partnerships Occupied by the tenant
|
Integer | 2912 | |
Individuals inclusive partnerships Unoccupied
|
Integer | 1100 | |
Individuals inclusive partnerships Not stated
|
Integer | 915 | |
Non-profit building society Occupied by the tenant
|
Integer | 5403 | |
Non-profit building society Unoccupied
|
Integer | 206 | |
Non-profit building society Not stated
|
Integer | 28 | |
Limited liability company, etc. Occupied by the tenant
|
Integer | 2272 | |
Limited liability company, etc. Unoccupied
|
Integer | 502 | |
Limited liability company, etc. Occupancy - Not stated
|
Integer | 89 | |
Housing societies Occupied by the tenant
|
Integer | 1136 | |
Housing societies Unoccupied
|
Integer | 31 | |
Housing societies Occupancy - Not stated
|
Integer | 1 | |
Public authorities Occupied by the tenant
|
Integer | 500 | |
Public authorities Unoccupied
|
Integer | 112 | |
Public authorities Occupancy - Not stated
|
Integer | 12 | |
Ownership other or unknown Occupied by the tenant
|
Integer | 394 | |
Ownership other or unknown Unoccupied
|
Integer | 63 | |
Ownership other or unknown Occupancy - Not stated
|
Integer | 40 | |
Dwellings with registered population - Individuals inclusive partnerships - Occupied by the owner
|
Integer | 15410 | |
Dwellings with registered population - Individuals inclusive partnerships - Occupied by the tenant
|
Integer | 2912 | |
Dwellings with registered population - Individuals inclusive partnerships - Not stated
|
Integer | 87 | |
Dwellings with registered population - Non-profit building society - Occupied by the tenant
|
Integer | 5403 | |
Dwellings with registered population - Non-profit building society - Not stated
|
Integer | 21 | |
Dwellings with registered population - Limited liability company, etc. - Occupied by the tenant
|
Integer | 2272 | |
Dwellings with registered population - Limited liability company, etc. - Not stated
|
Integer | 79 | |
Dwellings with registered population - Housing societies - Occupied by the tenant
|
Integer | 1136 | |
Dwellings with registered population - Housing societies - Not stated
|
Integer | 0 | |
Dwellings with registered population - Public authorities - Occupied by the tenant
|
Integer | 500 | |
Dwellings with registered population - Public authorities - Not stated
|
Integer | 9 | |
Dwellings with registered population - Other or unknown - Occupied by the tenant
|
Integer | 394 | |
Dwellings with registered population - Other or unknown - Not stated
|
Integer | 9 | |
Dwellings without registered population - Individuals inclusive partnerships - Unoccupied
|
Integer | 1100 | |
Dwellings without registered population - Non-profit building society - Unoccupied
|
Integer | 206 | |
Dwellings without registered population - Limited liability company, etc. - Unoccupied
|
Integer | 502 | |
Dwellings without registered population - Housing societies - Unoccupied
|
Integer | 31 | |
Dwellings without registered population - Public authorities - Unoccupied
|
Integer | 112 | |
Dwellings without registered population - Other or unknown - Unoccupied
|
Integer | 63 | |
Cottages without registered population - Individuals inclusive partnerships - Not stated
|
Integer | 828 | |
Cottages without registered population - Non-profit building society - Not stated
|
Integer | 7 | |
Cottages without registered population - Limited liability company, etc. - Not stated
|
Integer | 10 | |
Cottages without registered population - Housing societies - Not stated
|
Integer | 1 | |
Cottages without registered population - Public authorities - Not stated
|
Integer | 3 | |
Cottages without registered population - Other or unknown - Not stated
|
Integer | 31 |
Details
Demographic data for the 99 municipalities (kommune) of Denmark, offering a detailed snapshot of their 2023 population - 560+ attributes - age, gender, nationality, employment, families, and many more. Data from Statistics Denmark used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Denmark
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