Geolocet | Latest Census Data | Estonia at Municipality Level - age, gender, marital status, nationality, and more
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Volume
79
Records
Depth
183
Attributes
Size
64 KB
Size
Format
.csv
File
Price
$1.56
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 | 437817 | |
Males
|
Integer | 205056 | |
Females
|
Integer | 232761 | |
Single
|
Integer | 126279 | |
Married
|
Integer | 134371 | |
Divorced
|
Integer | 57797 | |
Widowed
|
Integer | 25460 | |
Marital Status unknown
|
Integer | 24470 | |
Single Males
|
Integer | 63748 | |
Married Males
|
Integer | 65839 | |
Divorced Males
|
Integer | 20491 | |
Widowed Males
|
Integer | 3791 | |
Marital Status unknown Males
|
Integer | 15852 | |
Single Females
|
Integer | 62531 | |
Married Females
|
Integer | 68532 | |
Divorced Females
|
Integer | 37306 | |
Widowed Females
|
Integer | 21669 | |
Marital Status unknown Females
|
Integer | 8618 | |
Estonian citizenship
|
Integer | 338214 | |
Russian citizenship
|
Integer | 32570 | |
Citizenship of another country citizenship
|
Integer | 34008 | |
Citizenship unknown
|
Integer | 33025 | |
Estonian citizenship Males
|
Integer | 150623 | |
Russian citizenship Males
|
Integer | 15461 | |
Citizenship of another country citizenship Males
|
Integer | 21513 | |
Citizenship unknown Males
|
Integer | 17459 | |
Estonian citizenship Females
|
Integer | 187591 | |
Russian citizenship Females
|
Integer | 17109 | |
Citizenship of another country citizenship Females
|
Integer | 12495 | |
Citizenship unknown Females
|
Integer | 15566 | |
Pop 0-17
|
Integer | 81762 | |
Pop 18-64
|
Integer | 273008 | |
Pop 65 and older
|
Integer | 83047 | |
Pop 0-4
|
Integer | 22993 | |
Pop 5-9
|
Integer | 22902 | |
Pop 10-14
|
Integer | 23545 | |
Pop 15-19
|
Integer | 19381 | |
Pop 20-24
|
Integer | 19009 | |
Pop 25-29
|
Integer | 27341 | |
Pop 30-34
|
Integer | 39938 | |
Pop 35-39
|
Integer | 38371 | |
Pop 40-44
|
Integer | 33797 | |
Pop 45-49
|
Integer | 30612 | |
Pop 50-54
|
Integer | 26729 | |
Pop 55-59
|
Integer | 24598 | |
Pop 60-64
|
Integer | 25554 | |
Pop 65-69
|
Integer | 24205 | |
Pop 70-74
|
Integer | 20995 | |
Pop 75-79
|
Integer | 13086 | |
Pop 80-84
|
Integer | 13991 | |
Pop 85 and older
|
Integer | 10770 | |
Males 0-17
|
Integer | 41674 | |
Males 18-64
|
Integer | 135270 | |
Males 65 and older
|
Integer | 28112 | |
Males 0-4
|
Integer | 11742 | |
Males 5-9
|
Integer | 11674 | |
Males 10-14
|
Integer | 11919 | |
Males 15-19
|
Integer | 9898 | |
Males 20-24
|
Integer | 9710 | |
Males 25-29
|
Integer | 13597 | |
Males 30-34
|
Integer | 20506 | |
Males 35-39
|
Integer | 19709 | |
Males 40-44
|
Integer | 17339 | |
Males 45-49
|
Integer | 15377 | |
Males 50-54
|
Integer | 13187 | |
Males 55-59
|
Integer | 11421 | |
Males 60-64
|
Integer | 10865 | |
Males 65-69
|
Integer | 9598 | |
Males 70-74
|
Integer | 7578 | |
Males 75-79
|
Integer | 4287 | |
Males 80-84
|
Integer | 4122 | |
Males 85 and older
|
Integer | 2527 | |
Females 0-17
|
Integer | 40088 | |
Females 18-64
|
Integer | 137738 | |
Females 65 and older
|
Integer | 54935 | |
Females 0-4
|
Integer | 11251 | |
Females 5-9
|
Integer | 11228 | |
Females 10-14
|
Integer | 11626 | |
Females 15-19
|
Integer | 9483 | |
Females 20-24
|
Integer | 9299 | |
Females 25-29
|
Integer | 13744 | |
Females 30-34
|
Integer | 19432 | |
Females 35-39
|
Integer | 18662 | |
Females 40-44
|
Integer | 16458 | |
Females 45-49
|
Integer | 15235 | |
Females 50-54
|
Integer | 13542 | |
Females 55-59
|
Integer | 13177 | |
Females 60-64
|
Integer | 14689 | |
Females 65-69
|
Integer | 14607 | |
Females 70-74
|
Integer | 13417 | |
Females 75-79
|
Integer | 8799 | |
Females 80-84
|
Integer | 9869 | |
Females 85 and older
|
Integer | 8243 | |
Basic education or less
|
Integer | 46946 | |
Secondary education or vocational education after secondary education
|
Integer | 137875 | |
Higher education or secondary specialised education after secondary education
|
Integer | 173485 | |
..Secondary specialised education after secondary education
|
Integer | 32228 | |
..Bachelor’s or equivalent level, professional higher education
|
Integer | 43537 | |
..Master’s or equivalent level
|
Integer | 93497 | |
..Doctoral or equivalent level
|
Integer | 4223 | |
Educational attainment unknown
|
Integer | 10071 | |
Basic education or less Males
|
Integer | 24841 | |
Secondary education or vocational education after secondary education Males
|
Integer | 69206 | |
Higher education or secondary specialised education after secondary education Males
|
Integer | 69277 | |
..Secondary specialised education after secondary education Males
|
Integer | 12332 | |
..Bachelor’s or equivalent level, professional higher education Males
|
Integer | 18172 | |
..Master’s or equivalent level Males
|
Integer | 36525 | |
..Doctoral or equivalent level Males
|
Integer | 2248 | |
Educational attainment unknown Males
|
Integer | 6397 | |
Basic education or less Females
|
Integer | 22105 | |
Secondary education or vocational education after secondary education Females
|
Integer | 68669 | |
Higher education or secondary specialised education after secondary education Females
|
Integer | 104208 | |
..Secondary specialised education after secondary education Females
|
Integer | 19896 | |
..Bachelor’s or equivalent level, professional higher education Females
|
Integer | 25365 | |
..Master’s or equivalent level Females
|
Integer | 56972 | |
..Doctoral or equivalent level Females
|
Integer | 1975 | |
Educational attainment unknown Females
|
Integer | 3674 | |
Economically active population
|
Integer | 238986 | |
..Employed person
|
Integer | 224222 | |
..Unemployed person
|
Integer | 14764 | |
Economically inactive population
|
Integer | 198831 | |
..Person under 15 years of age
|
Integer | 69440 | |
..Pension or capital income recipient
|
Integer | 67441 | |
..Student
|
Integer | 19123 | |
..Other
|
Integer | 42827 | |
Economically active population Males
|
Integer | 114400 | |
..Employed person Males
|
Integer | 107964 | |
..Unemployed person Males
|
Integer | 6436 | |
Economically inactive population Males
|
Integer | 90656 | |
..Person under 15 years of age Males
|
Integer | 35335 | |
..Pension or capital income recipient Males
|
Integer | 21518 | |
..Student Males
|
Integer | 9972 | |
..Other Males
|
Integer | 23831 | |
Economically active population Females
|
Integer | 124586 | |
..Employed person Females
|
Integer | 116258 | |
..Unemployed person Females
|
Integer | 8328 | |
Economically inactive population Females
|
Integer | 108175 | |
..Person under 15 years of age Females
|
Integer | 34105 | |
..Pension or capital income recipient Females
|
Integer | 45923 | |
..Student Females
|
Integer | 9151 | |
..Other Females
|
Integer | 18996 | |
Employed
|
Integer | 224222 | |
Employee
|
Integer | 214615 | |
Self-employed person with employees (employer)
|
Integer | 5387 | |
Self-employed person without employees (own-account worker)
|
Integer | 3997 | |
Other employed person
|
Integer | 223 | |
Employed Males
|
Integer | 107964 | |
Employee Males
|
Integer | 101610 | |
Self-employed person with employees (employer) Males
|
Integer | 3891 | |
Self-employed person without employees (own-account worker) Males
|
Integer | 2381 | |
Other employed person Males
|
Integer | 82 | |
Employed Females
|
Integer | 116258 | |
Employee Females
|
Integer | 113005 | |
Self-employed person with employees (employer) Females
|
Integer | 1496 | |
Self-employed person without employees (own-account worker) Females
|
Integer | 1616 | |
Other employed person Females
|
Integer | 141 | |
Wage, salary
|
Integer | 207968 | |
Entrepreneurial income, income from farming
|
Integer | 7402 | |
Pension
|
Integer | 75344 | |
Support, scholarship, benefit
|
Integer | 32821 | |
Maintained by an institution
|
Integer | 812 | |
Maintained by other persons
|
Integer | 93793 | |
Other source of subsistence
|
Integer | 9028 | |
Source of subsistence unknown
|
Integer | 10649 | |
Wage, salary Males
|
Integer | 103779 | |
Entrepreneurial income, income from farming Males
|
Integer | 5273 | |
Pension Males
|
Integer | 24656 | |
Support, scholarship, benefit Males
|
Integer | 9938 | |
Maintained by an institution Males
|
Integer | 798 | |
Maintained by other persons Males
|
Integer | 48409 | |
Other source of subsistence Males
|
Integer | 5151 | |
Source of subsistence unknown Males
|
Integer | 7052 | |
Wage, salary Females
|
Integer | 104189 | |
Entrepreneurial income, income from farming Females
|
Integer | 2129 | |
Pension Females
|
Integer | 50688 | |
Support, scholarship, benefit Females
|
Integer | 22883 | |
Maintained by an institution Females
|
Integer | 14 | |
Maintained by other persons Females
|
Integer | 45384 | |
Other source of subsistence Females
|
Integer | 3877 | |
Source of subsistence unknown Females
|
Integer | 3597 |
Details
The dataset contains census data for 79 municipalities (linnad/vallad) of Estonia, offering a snapshot of their population - age, gender, marital status, nationality, 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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