Geolocet | Latest Base Socio-demographic Data | Finland at Municipality Level - age, gender, marital status
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Volume
~ 297
Records
Depth
288
Attributes
Size
280 KB
Size
Format
.csv
File
Price
$1.01
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Kunnat
|
String | 005 Alajärvi | |
Polygon ID
|
Integer | 4734545 | |
Polygon Name
|
String | Alajärvi | |
Total population
|
Integer | 9183 | |
Males
|
Integer | 4636 | |
Females
|
Integer | 4547 | |
Pop 0 - 4
|
Integer | 380 | |
Pop 5 - 9
|
Integer | 498 | |
Pop 10 - 14
|
Integer | 639 | |
Pop 15 - 19
|
Integer | 581 | |
Pop 20 - 24
|
Integer | 344 | |
Pop 25 - 29
|
Integer | 291 | |
Pop 30 - 34
|
Integer | 396 | |
Pop 35 - 39
|
Integer | 429 | |
Pop 40 - 44
|
Integer | 468 | |
Pop 45 - 49
|
Integer | 503 | |
Pop 50 - 54
|
Integer | 480 | |
Pop 55 - 59
|
Integer | 673 | |
Pop 60 - 64
|
Integer | 739 | |
Pop 65 - 69
|
Integer | 739 | |
Pop 70 - 74
|
Integer | 796 | |
Pop 75 - 79
|
Integer | 507 | |
Pop 80 - 84
|
Integer | 338 | |
Pop 85+
|
Integer | 382 | |
Males 0 - 4
|
Integer | 191 | |
Males 5 - 9
|
Integer | 232 | |
Males 10 - 14
|
Integer | 310 | |
Males 15 - 19
|
Integer | 328 | |
Males 20 - 24
|
Integer | 217 | |
Males 25 - 29
|
Integer | 167 | |
Males 30 - 34
|
Integer | 198 | |
Males 35 - 39
|
Integer | 240 | |
Males 40 - 44
|
Integer | 241 | |
Males 45 - 49
|
Integer | 260 | |
Males 50 - 54
|
Integer | 234 | |
Males 55 - 59
|
Integer | 329 | |
Males 60 - 64
|
Integer | 370 | |
Males 65 - 69
|
Integer | 376 | |
Males 70 - 74
|
Integer | 418 | |
Males 75 - 79
|
Integer | 252 | |
Males 80 - 84
|
Integer | 143 | |
Males 85+
|
Integer | 130 | |
Females 0 - 4
|
Integer | 189 | |
Females 5 - 9
|
Integer | 266 | |
Females 10 - 14
|
Integer | 329 | |
Females 15 - 19
|
Integer | 253 | |
Females 20 - 24
|
Integer | 127 | |
Females 25 - 29
|
Integer | 124 | |
Females 30 - 34
|
Integer | 198 | |
Females 35 - 39
|
Integer | 189 | |
Females 40 - 44
|
Integer | 227 | |
Females 45 - 49
|
Integer | 243 | |
Females 50 - 54
|
Integer | 246 | |
Females 55 - 59
|
Integer | 344 | |
Females 60 - 64
|
Integer | 369 | |
Females 65 - 69
|
Integer | 363 | |
Females 70 - 74
|
Integer | 378 | |
Females 75 - 79
|
Integer | 255 | |
Females 80 - 84
|
Integer | 195 | |
Females 85+
|
Integer | 252 | |
Single
|
Integer | 3856 | |
Married
|
Integer | 4005 | |
Divorced
|
Integer | 662 | |
Widowed
|
Integer | 660 | |
Males Single
|
Integer | 2170 | |
Males Married
|
Integer | 2006 | |
Males Divorced
|
Integer | 325 | |
Males Widowed
|
Integer | 135 | |
Females Single
|
Integer | 1686 | |
Females Married
|
Integer | 1999 | |
Females Divorced
|
Integer | 337 | |
Females Widowed
|
Integer | 525 | |
Single 0 - 4
|
Integer | 380 | |
Single 5 - 9
|
Integer | 498 | |
Single 10 - 14
|
Integer | 639 | |
Single 15 - 19
|
Integer | 579 | |
Single 20 - 24
|
Integer | 329 | |
Single 25 - 29
|
Integer | 231 | |
Single 30 - 34
|
Integer | 211 | |
Single 35 - 39
|
Integer | 156 | |
Single 40 - 44
|
Integer | 122 | |
Single 45 - 49
|
Integer | 99 | |
Single 50 - 54
|
Integer | 95 | |
Single 55 - 59
|
Integer | 124 | |
Single 60 - 64
|
Integer | 104 | |
Single 65 - 69
|
Integer | 92 | |
Single 70 - 74
|
Integer | 88 | |
Single 75 - 79
|
Integer | 56 | |
Single 80 - 84
|
Integer | 25 | |
Single 85+
|
Integer | 28 | |
Married 0 - 4
|
Integer | 0 | |
Married 5 - 9
|
Integer | 0 | |
Married 10 - 14
|
Integer | 0 | |
Married 15 - 19
|
Integer | 2 | |
Married 20 - 24
|
Integer | 13 | |
Married 25 - 29
|
Integer | 55 | |
Married 30 - 34
|
Integer | 163 | |
Married 35 - 39
|
Integer | 228 | |
Married 40 - 44
|
Integer | 295 | |
Married 45 - 49
|
Integer | 336 | |
Married 50 - 54
|
Integer | 302 | |
Married 55 - 59
|
Integer | 445 | |
Married 60 - 64
|
Integer | 513 | |
Married 65 - 69
|
Integer | 508 | |
Married 70 - 74
|
Integer | 568 | |
Married 75 - 79
|
Integer | 312 | |
Married 80 - 84
|
Integer | 163 | |
Married 85+
|
Integer | 102 | |
Divorced 0 - 4
|
Integer | 0 | |
Divorced 5 - 9
|
Integer | 0 | |
Divorced 10 - 14
|
Integer | 0 | |
Divorced 15 - 19
|
Integer | 0 | |
Divorced 20 - 24
|
Integer | 2 | |
Divorced 25 - 29
|
Integer | 5 | |
Divorced 30 - 34
|
Integer | 22 | |
Divorced 35 - 39
|
Integer | 43 | |
Divorced 40 - 44
|
Integer | 51 | |
Divorced 45 - 49
|
Integer | 65 | |
Divorced 50 - 54
|
Integer | 74 | |
Divorced 55 - 59
|
Integer | 93 | |
Divorced 60 - 64
|
Integer | 92 | |
Divorced 65 - 69
|
Integer | 82 | |
Divorced 70 - 74
|
Integer | 66 | |
Divorced 75 - 79
|
Integer | 36 | |
Divorced 80 - 84
|
Integer | 16 | |
Divorced 85+
|
Integer | 15 | |
Widowed 0 - 4
|
Integer | 0 | |
Widowed 5 - 9
|
Integer | 0 | |
Widowed 10 - 14
|
Integer | 0 | |
Widowed 15 - 19
|
Integer | 0 | |
Widowed 20 - 24
|
Integer | 0 | |
Widowed 25 - 29
|
Integer | 0 | |
Widowed 30 - 34
|
Integer | 0 | |
Widowed 35 - 39
|
Integer | 2 | |
Widowed 40 - 44
|
Integer | 0 | |
Widowed 45 - 49
|
Integer | 3 | |
Widowed 50 - 54
|
Integer | 9 | |
Widowed 55 - 59
|
Integer | 11 | |
Widowed 60 - 64
|
Integer | 30 | |
Widowed 65 - 69
|
Integer | 57 | |
Widowed 70 - 74
|
Integer | 74 | |
Widowed 75 - 79
|
Integer | 103 | |
Widowed 80 - 84
|
Integer | 134 | |
Widowed 85+
|
Integer | 237 | |
Males Single 0 - 4
|
Integer | 191 | |
Males Single 5 - 9
|
Integer | 232 | |
Males Single 10 - 14
|
Integer | 310 | |
Males Single 15 - 19
|
Integer | 327 | |
Males Single 20 - 24
|
Integer | 210 | |
Males Single 25 - 29
|
Integer | 143 | |
Males Single 30 - 34
|
Integer | 127 | |
Males Single 35 - 39
|
Integer | 107 | |
Males Single 40 - 44
|
Integer | 69 | |
Males Single 45 - 49
|
Integer | 63 | |
Males Single 50 - 54
|
Integer | 63 | |
Males Single 55 - 59
|
Integer | 76 | |
Males Single 60 - 64
|
Integer | 63 | |
Males Single 65 - 69
|
Integer | 65 | |
Males Single 70 - 74
|
Integer | 57 | |
Males Single 75 - 79
|
Integer | 40 | |
Males Single 80 - 84
|
Integer | 15 | |
Males Single 85+
|
Integer | 12 | |
Males Married 0 - 4
|
Integer | 0 | |
Males Married 5 - 9
|
Integer | 0 | |
Males Married 10 - 14
|
Integer | 0 | |
Males Married 15 - 19
|
Integer | 1 | |
Males Married 20 - 24
|
Integer | 6 | |
Males Married 25 - 29
|
Integer | 21 | |
Males Married 30 - 34
|
Integer | 63 | |
Males Married 35 - 39
|
Integer | 111 | |
Males Married 40 - 44
|
Integer | 146 | |
Males Married 45 - 49
|
Integer | 162 | |
Males Married 50 - 54
|
Integer | 135 | |
Males Married 55 - 59
|
Integer | 208 | |
Males Married 60 - 64
|
Integer | 258 | |
Males Married 65 - 69
|
Integer | 252 | |
Males Married 70 - 74
|
Integer | 312 | |
Males Married 75 - 79
|
Integer | 168 | |
Males Married 80 - 84
|
Integer | 97 | |
Males Married 85+
|
Integer | 66 | |
Males Divorced 0 - 4
|
Integer | 0 | |
Males Divorced 5 - 9
|
Integer | 0 | |
Males Divorced 10 - 14
|
Integer | 0 | |
Males Divorced 15 - 19
|
Integer | 0 | |
Males Divorced 20 - 24
|
Integer | 1 | |
Males Divorced 25 - 29
|
Integer | 3 | |
Males Divorced 30 - 34
|
Integer | 8 | |
Males Divorced 35 - 39
|
Integer | 22 | |
Males Divorced 40 - 44
|
Integer | 26 | |
Males Divorced 45 - 49
|
Integer | 34 | |
Males Divorced 50 - 54
|
Integer | 36 | |
Males Divorced 55 - 59
|
Integer | 45 | |
Males Divorced 60 - 64
|
Integer | 40 | |
Males Divorced 65 - 69
|
Integer | 42 | |
Males Divorced 70 - 74
|
Integer | 38 | |
Males Divorced 75 - 79
|
Integer | 20 | |
Males Divorced 80 - 84
|
Integer | 5 | |
Males Divorced 85+
|
Integer | 5 | |
Males Widowed 0 - 4
|
Integer | 0 | |
Males Widowed 5 - 9
|
Integer | 0 | |
Males Widowed 10 - 14
|
Integer | 0 | |
Males Widowed 15 - 19
|
Integer | 0 | |
Males Widowed 20 - 24
|
Integer | 0 | |
Males Widowed 25 - 29
|
Integer | 0 | |
Males Widowed 30 - 34
|
Integer | 0 | |
Males Widowed 35 - 39
|
Integer | 0 | |
Males Widowed 40 - 44
|
Integer | 0 | |
Males Widowed 45 - 49
|
Integer | 1 | |
Males Widowed 50 - 54
|
Integer | 0 | |
Males Widowed 55 - 59
|
Integer | 0 | |
Males Widowed 60 - 64
|
Integer | 9 | |
Males Widowed 65 - 69
|
Integer | 17 | |
Males Widowed 70 - 74
|
Integer | 11 | |
Males Widowed 75 - 79
|
Integer | 24 | |
Males Widowed 80 - 84
|
Integer | 26 | |
Males Widowed 85+
|
Integer | 47 | |
Females Single 0 - 4
|
Integer | 189 | |
Females Single 5 - 9
|
Integer | 266 | |
Females Single 10 - 14
|
Integer | 329 | |
Females Single 15 - 19
|
Integer | 252 | |
Females Single 20 - 24
|
Integer | 119 | |
Females Single 25 - 29
|
Integer | 88 | |
Females Single 30 - 34
|
Integer | 84 | |
Females Single 35 - 39
|
Integer | 49 | |
Females Single 40 - 44
|
Integer | 53 | |
Females Single 45 - 49
|
Integer | 36 | |
Females Single 50 - 54
|
Integer | 32 | |
Females Single 55 - 59
|
Integer | 48 | |
Females Single 60 - 64
|
Integer | 41 | |
Females Single 65 - 69
|
Integer | 27 | |
Females Single 70 - 74
|
Integer | 31 | |
Females Single 75 - 79
|
Integer | 16 | |
Females Single 80 - 84
|
Integer | 10 | |
Females Single 85+
|
Integer | 16 | |
Females Married 0 - 4
|
Integer | 0 | |
Females Married 5 - 9
|
Integer | 0 | |
Females Married 10 - 14
|
Integer | 0 | |
Females Married 15 - 19
|
Integer | 1 | |
Females Married 20 - 24
|
Integer | 7 | |
Females Married 25 - 29
|
Integer | 34 | |
Females Married 30 - 34
|
Integer | 100 | |
Females Married 35 - 39
|
Integer | 117 | |
Females Married 40 - 44
|
Integer | 149 | |
Females Married 45 - 49
|
Integer | 174 | |
Females Married 50 - 54
|
Integer | 167 | |
Females Married 55 - 59
|
Integer | 237 | |
Females Married 60 - 64
|
Integer | 255 | |
Females Married 65 - 69
|
Integer | 256 | |
Females Married 70 - 74
|
Integer | 256 | |
Females Married 75 - 79
|
Integer | 144 | |
Females Married 80 - 84
|
Integer | 66 | |
Females Married 85+
|
Integer | 36 | |
Females Divorced 0 - 4
|
Integer | 0 | |
Females Divorced 5 - 9
|
Integer | 0 | |
Females Divorced 10 - 14
|
Integer | 0 | |
Females Divorced 15 - 19
|
Integer | 0 | |
Females Divorced 20 - 24
|
Integer | 1 | |
Females Divorced 25 - 29
|
Integer | 2 | |
Females Divorced 30 - 34
|
Integer | 14 | |
Females Divorced 35 - 39
|
Integer | 21 | |
Females Divorced 40 - 44
|
Integer | 25 | |
Females Divorced 45 - 49
|
Integer | 31 | |
Females Divorced 50 - 54
|
Integer | 38 | |
Females Divorced 55 - 59
|
Integer | 48 | |
Females Divorced 60 - 64
|
Integer | 52 | |
Females Divorced 65 - 69
|
Integer | 40 | |
Females Divorced 70 - 74
|
Integer | 28 | |
Females Divorced 75 - 79
|
Integer | 16 | |
Females Divorced 80 - 84
|
Integer | 11 | |
Females Divorced 85+
|
Integer | 10 | |
Females Widowed 0 - 4
|
Integer | 0 | |
Females Widowed 5 - 9
|
Integer | 0 | |
Females Widowed 10 - 14
|
Integer | 0 | |
Females Widowed 15 - 19
|
Integer | 0 | |
Females Widowed 20 - 24
|
Integer | 0 | |
Females Widowed 25 - 29
|
Integer | 0 | |
Females Widowed 30 - 34
|
Integer | 0 | |
Females Widowed 35 - 39
|
Integer | 2 | |
Females Widowed 40 - 44
|
Integer | 0 | |
Females Widowed 45 - 49
|
Integer | 2 | |
Females Widowed 50 - 54
|
Integer | 9 | |
Females Widowed 55 - 59
|
Integer | 11 | |
Females Widowed 60 - 64
|
Integer | 21 | |
Females Widowed 65 - 69
|
Integer | 40 | |
Females Widowed 70 - 74
|
Integer | 63 | |
Females Widowed 75 - 79
|
Integer | 79 | |
Females Widowed 80 - 84
|
Integer | 108 | |
Females Widowed 85+
|
Integer | 190 |
Details
The dataset contains demographic information for the municipalities (kunnat) of Finland, offering a snapshot of their 2022 population - age, gender, gender by age, marital status counts, and more. Data from Statistics Finland used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Finland
Category Tags
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