Geolocet | Latest Demographic Data | Estonia at Municipality Level - age, gender, marital status, nationality, and more
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Volume
79
Records
Depth
159
Attributes
Size
56 KB
Size
Format
.csv
File
Price
$1.25
per record
Freshness
January 2024
last updated
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Linnad/vallad
|
String | Tallinn | |
Polygon ID
|
Integer | 701805 | |
Polygon Name
|
String | Tallinn | |
Total Population
|
Integer | 440598 | |
Males
|
Integer | 204529 | |
Females
|
Integer | 236069 | |
Single
|
Integer | 127081 | |
Married
|
Integer | 135225 | |
Divorced
|
Integer | 58164 | |
Widowed
|
Integer | 25622 | |
Marital Status unknown
|
Integer | 36561 | |
Single Males
|
Integer | 63584 | |
Married Males
|
Integer | 65670 | |
Divorced Males
|
Integer | 20438 | |
Widowed Males
|
Integer | 3781 | |
Marital Status unknown Males
|
Integer | 22040 | |
Single Females
|
Integer | 63497 | |
Married Females
|
Integer | 69555 | |
Divorced Females
|
Integer | 37726 | |
Widowed Females
|
Integer | 21841 | |
Marital Status unknown Females
|
Integer | 14521 | |
Estonian citizenship
|
Integer | 340362 | |
Russian citizenship
|
Integer | 32777 | |
Citizenship of another country citizenship
|
Integer | 34224 | |
Citizenship unknown
|
Integer | 33235 | |
Estonian citizenship Males
|
Integer | 150236 | |
Russian citizenship Males
|
Integer | 15421 | |
Citizenship of another country citizenship Males
|
Integer | 21458 | |
Citizenship unknown Males
|
Integer | 17414 | |
Estonian citizenship Females
|
Integer | 190126 | |
Russian citizenship Females
|
Integer | 17356 | |
Citizenship of another country citizenship Females
|
Integer | 12766 | |
Citizenship unknown Females
|
Integer | 15821 | |
Pop 0-17
|
Integer | 68011 | |
Pop 18-64
|
Integer | 286322 | |
Pop 65 and older
|
Integer | 86265 | |
Pop 0-4
|
Integer | 19160 | |
Pop 5-9
|
Integer | 19069 | |
Pop 10-14
|
Integer | 19716 | |
Pop 15-19
|
Integer | 20132 | |
Pop 20-24
|
Integer | 19746 | |
Pop 25-29
|
Integer | 28401 | |
Pop 30-34
|
Integer | 41486 | |
Pop 35-39
|
Integer | 39858 | |
Pop 40-44
|
Integer | 35107 | |
Pop 45-49
|
Integer | 31798 | |
Pop 50-54
|
Integer | 27765 | |
Pop 55-59
|
Integer | 25551 | |
Pop 60-64
|
Integer | 26544 | |
Pop 65-69
|
Integer | 25143 | |
Pop 70-74
|
Integer | 21809 | |
Pop 75-79
|
Integer | 13593 | |
Pop 80-84
|
Integer | 14533 | |
Pop 85 and older
|
Integer | 11187 | |
Males 0-17
|
Integer | 34134 | |
Males 18-64
|
Integer | 141324 | |
Males 65 and older
|
Integer | 29071 | |
Males 0-4
|
Integer | 9636 | |
Males 5-9
|
Integer | 9568 | |
Males 10-14
|
Integer | 9812 | |
Males 15-19
|
Integer | 10236 | |
Males 20-24
|
Integer | 10041 | |
Males 25-29
|
Integer | 14061 | |
Males 30-34
|
Integer | 21206 | |
Males 35-39
|
Integer | 20381 | |
Males 40-44
|
Integer | 17931 | |
Males 45-49
|
Integer | 15902 | |
Males 50-54
|
Integer | 13637 | |
Males 55-59
|
Integer | 11811 | |
Males 60-64
|
Integer | 11236 | |
Males 65-69
|
Integer | 9925 | |
Males 70-74
|
Integer | 7837 | |
Males 75-79
|
Integer | 4433 | |
Males 80-84
|
Integer | 4263 | |
Males 85 and older
|
Integer | 2613 | |
Females 0-17
|
Integer | 33877 | |
Females 18-64
|
Integer | 144998 | |
Females 65 and older
|
Integer | 57194 | |
Females 0-4
|
Integer | 9524 | |
Females 5-9
|
Integer | 9501 | |
Females 10-14
|
Integer | 9904 | |
Females 15-19
|
Integer | 9896 | |
Females 20-24
|
Integer | 9705 | |
Females 25-29
|
Integer | 14340 | |
Females 30-34
|
Integer | 20280 | |
Females 35-39
|
Integer | 19477 | |
Females 40-44
|
Integer | 17176 | |
Females 45-49
|
Integer | 15896 | |
Females 50-54
|
Integer | 14128 | |
Females 55-59
|
Integer | 13740 | |
Females 60-64
|
Integer | 15308 | |
Females 65-69
|
Integer | 15218 | |
Females 70-74
|
Integer | 13972 | |
Females 75-79
|
Integer | 9160 | |
Females 80-84
|
Integer | 10270 | |
Females 85 and older
|
Integer | 8574 | |
Primary or basic education
|
Integer | 49471 | |
Secondary education
|
Integer | 141883 | |
Higher education
|
Integer | 184410 | |
Educational level unknown
|
Integer | 6889 | |
Primary or basic education Males
|
Integer | 26540 | |
Secondary education Males
|
Integer | 71221 | |
Higher education Males
|
Integer | 73838 | |
Educational level unknown Males
|
Integer | 3914 | |
Primary or basic education Females
|
Integer | 22931 | |
Secondary education Females
|
Integer | 70662 | |
Higher education Females
|
Integer | 110572 | |
Educational level unknown Females
|
Integer | 2975 | |
Economically active population
|
Integer | 240504 | |
..Employed person
|
Integer | 225646 | |
..Unemployed person
|
Integer | 14858 | |
Economically inactive population
|
Integer | 200094 | |
Economically active population Males
|
Integer | 114106 | |
..Employed person Males
|
Integer | 107687 | |
..Unemployed person Males
|
Integer | 6419 | |
Economically inactive population Males
|
Integer | 90423 | |
Economically active population Females
|
Integer | 126398 | |
..Employed person Females
|
Integer | 117959 | |
..Unemployed person Females
|
Integer | 8439 | |
Economically inactive population Females
|
Integer | 109671 | |
..Employed person
|
Integer | 225646 | |
Employee
|
Integer | 215978 | |
Self-employed person with employees (employer)
|
Integer | 5421 | |
Self-employed person without employees (own-account worker)
|
Integer | 4022 | |
Other employed person
|
Integer | 225 | |
..Employed person Males
|
Integer | 107687 | |
Employee Males
|
Integer | 101349 | |
Self-employed person with employees (employer) Males
|
Integer | 3881 | |
Self-employed person without employees (own-account worker) Males
|
Integer | 2375 | |
Other employed person Males
|
Integer | 82 | |
..Employed person Females
|
Integer | 117959 | |
Employee Females
|
Integer | 114629 | |
Self-employed person with employees (employer) Females
|
Integer | 1540 | |
Self-employed person without employees (own-account worker) Females
|
Integer | 1647 | |
Other employed person Females
|
Integer | 143 | |
Wage, salary
|
Integer | 209289 | |
Entrepreneurial income, income from farming
|
Integer | 7449 | |
Pension
|
Integer | 75823 | |
Support, scholarship, benefit
|
Integer | 33029 | |
Maintained by an institution
|
Integer | 817 | |
Maintained by other persons
|
Integer | 94389 | |
Other source of subsistence
|
Integer | 9085 | |
Source of subsistence unknown
|
Integer | 10717 | |
Wage, salary Males
|
Integer | 103512 | |
Entrepreneurial income, income from farming Males
|
Integer | 5259 | |
Pension Males
|
Integer | 24593 | |
Support, scholarship, benefit Males
|
Integer | 9912 | |
Maintained by an institution Males
|
Integer | 796 | |
Maintained by other persons Males
|
Integer | 48285 | |
Other source of subsistence Males
|
Integer | 5138 | |
Source of subsistence unknown Males
|
Integer | 7034 | |
Wage, salary Females
|
Integer | 105777 | |
Entrepreneurial income, income from farming Females
|
Integer | 2190 | |
Pension Females
|
Integer | 51230 | |
Support, scholarship, benefit Females
|
Integer | 23117 | |
Maintained by an institution Females
|
Integer | 21 | |
Maintained by other persons Females
|
Integer | 46104 | |
Other source of subsistence Females
|
Integer | 3947 | |
Source of subsistence unknown Females
|
Integer | 3683 |
Details
The dataset contains demographic data for 79 municipalities (linnad/vallad) of Estonia, offering a snapshot of their 2023 population - age, gender, age split by gender, marital status, and more. Data from Statistics Estonia used. If you require the municipalities' polygons, please contact us.
Geographical Coverage
Europe
(1)
Estonia
Category Tags
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