Reference Data in Finland

4,059 indicators covering reference data for Finland.

IndicatorLatest Year10-yr change Rank
Youth employment rate, aged 15-24, total 0.7% 2016 down 15.0% 77th
Employment rate, aged 15-64, total 0.9% 2016 down 4.3% 82nd
Employment to population ratio, aged 15-64, total 0.6% 2016 down 4.3% 55th
Average effective age of retirement for men 64.3 years 2018 up 4.6% 31st
Labor force participation rate, aged 15-64, total 0.7% 2016 down 0.0% 38th
Youth unemployment rate, aged 15-24, total 0.3% 2016 up 85.6% 35th
Unemployment rate, aged 15-64, total 0.1% 2016 up 39.3% 30th
Youth not in employment or education, aged 15-24, total 0.1% 2016 down 13.5% 58th
Share of births that are twins 1.3% 2019 down 10.9% 19th
UIS: Percentage of population age 25+ whose highest level of 39.3% 2017 up 4.9% 23rd
General government expenditure by function 32,253 Million euro 2024 up 42.9% 14th
Production forecasts for bovines, sheep and goats - bi-annual data 110.02 Thousand heads (animals) 2027 down 24.5% 21st
Area of the regions by other typologies 9,568 Square kilometre 2025 unchanged 18th
Production in industry - quarterly data 105.1 Index, 2021=100 2026 up 8.6% 15th
Quarterly non-financial accounts for general government 12,197 Million euro 2026 up 34.3% 13th
UIS: Percentage of population age 25+ whose highest level of 36.3% 2017 up 3.9% 25th
UIS: Percentage of population age 25+ whose highest level of 42.5% 2017 up 5.7% 23rd
Services confidence indicator and survey results - monthly data 10 Balance 2026 up 100.0% 19th
Physicians by sex and age 20,751 Number 2025 up 15.6% 28th
Industrial roundwood by species 235,281 Thousand euro 2024 down 23.5% 5th
Capital stocks by industry (NACE Rev.2) and detailed asset type 871,752 Chain linked volumes (2020), million euro 2025 up 12.9% 12th
Production forecasts for pigs - quarterly data 459.3 Thousand heads (animals) 2026 down 14.8% 22nd
Physicians by category 8,066 Number 2025 up 23.0% 18th
Production in industry - annual data 101.8 Index, 2021=100 2025 up 16.2% 20th
Length of railway tracks by electrification of tracks 6,739 Kilometre 2024 down 20.6% 18th
Total sample population, female 2.75 million 2016 up 3.9% 72nd
Total sample population, male 2.65 million 2016 up 4.8% 73rd
Total labor force in the sample, aged 15-64, female 1.16 million 2016 down 1.4% 66th
Total labor force in the sample, aged 15-64, male 1.26 million 2016 down 1.6% 70th
Total labor force in the sample, aged 25-64 2.27 million 2016 down 0.1% 65th
Total labor force in the sample, aged 15-24 152,068 2016 down 18.5% 80th
Average age, female 43.65 2016 up 4.0% 17th
Average age, male 41.2 2016 up 4.8% 12th
Average age, aged 25-64 44.9 2016 down 0.1% 14th
Average age, aged 15-24 19.67 2016 up 0.9% 18th
Non-agricultural employers, aged 15-64, total 0.0% 2016 up 89.5% 19th
Employers, aged 15-64, total 0.0% 2016 down 8.8% 30th
Non-agricultural self-employed workers, aged 15-64, total 0.1% 2016 up 111.5% 60th
Self-employed workers, aged 15-64, total 0.1% 2016 up 8.7% 81st
Non-agricultural unpaid employment, aged 15-64, total 0.0% 2016 up 181.9% 70th
Unpaid workers, aged 15-64, total 0.0% 2016 down 18.6% 91st
Unpaid or self-employed workers, aged 15-64, total 0.1% 2016 up 8.0% 85th
Non-agricultural wage employment, aged 15-64, total 0.9% 2016 up 77.4% 15th
Wage workers, aged 15-64, total 0.9% 2016 down 0.3% 28th
Population aged 0-14, female 0.1% 2016 down 3.6% 84th
Population aged 0-14, male 0.2% 2016 down 5.0% 89th
Population aged 15-24, female 0.1% 2016 down 5.9% 84th
Population aged 15-24, male 0.1% 2016 down 7.8% 88th
Working-age population, aged 15-64, female 0.6% 2016 down 5.9% 85th
Working-age population, aged 15-64, male 0.6% 2016 down 6.2% 62nd
Population aged 25-64, female 0.5% 2016 down 5.9% 60th
Population aged 25-64, male 0.5% 2016 down 5.8% 42nd
Population aged 65 and above, female 0.2% 2016 up 22.4% 9th
Population aged 65 and above, male 0.2% 2016 up 35.2% 6th
Total sample population, aged 25-64 2.77 million 2016 down 1.7% 72nd
Total sample population, aged 15-24 626,304 2016 down 2.8% 78th
Transboundary animal breeds with conserved genetic material 0 number 2025 down 100.0% 32nd
Average age of wage workers, aged 15-64, total 42.86 2016 up 2.8% 5th
Local animal breeds with conserved genetic material 1 number 2025 — 30th
Average age of self-employed or unpaid workers, aged 15-64, total 47.05 2016 down 0.0% 7th