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Geolocet | Latest Census Data | Estonia at Municipality Level - age...
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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

Demographic Data Geodemographic Data Geographic Data

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