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International Energy Agency
World Bank
OECD
United Nations
Human Rights Atlas
International Monetary Fund
OECD
Banking Statistics
Classification of Bank Assets and Liabilities
Income Statement and Balance Sheet
Structure of the Financial System
Economic Outlook
Economic Outlook No 105 - May 2019
Economic Outlook No. 106 - November 2019
Economic Outlook No. 108 - November 2020
Economic Outlook No 104 - November 2018
Economic Outlook No 101 - June 2017
Education and Training
Education and Skills
Average Class Size (2018 Edition)
Educational Expenditure by Nature (2018 Edition)
Educational Expenditure by Source and Destination (2018 Edition)
Educational Personnel by Age (2018 Edition)
Educational Personnel by Institution (2018 Edition)
Enrollment by Age (2018 Edition)
Enrolment by Field (2018 Edition)
Enrolment by Type of Institution (2018 Edition)
Enrolment Data Adjusted to Financial Year (2018 Edition)
Enrolment of International Students by Origin (2018 Edition)
International Graduates by Origin (2018 Edition)
Management Educational Personnel and Teachers' Aides (2018 Edition)
New Entrants by Age (2018 Edition)
New Entrants by Field (2018 Edition)
Number of Graduates by Age (2018 Edition)
Number of Graduates by Field (2108 Edition)
Population Data (2018 Edition)
Education at a Glance
Distribution of graduates and entrants by Field (2018 Edition)
Distribution of teachers by age and gender (2018 Edition)
Educational finance indicators (2018 Edition)
Enrollment Rate by Age (2018 Edition)
Graduation and entry rates (2018 Edition)
Profile of graduates and new entrants (2018 Edition)
Share of Enrolment by Gender, Programme Orientation and Mode of Study (2018 Edition)
Share of Enrolment by Type of Institution (2018 Edition)
Share of International Students Enrolled by Country of Origin
Share of International Students Enrolled by Field of Education (2018 Edition)
Student-Teacher Ratio and Average Class Size (2018 Edition)
Measuring Innovation in Education
Part 1 (Comparing Innovation in Education with Other Sectors) (2014 Edition)
Part 2 (Innovation as Change in Classrooms and Schools) (2014 Edition)
Teaching and Learning International Survey - TALIS
TALIS Indicators 2013
Employment and Labour Market
Earnings
Average Annual Wages (2020 Edition)
Decile Ratios of Gross Earnings (2020 Edition)
Hourly Earnings (MEI) (2020 Edition)
Minimum Relative to Average Wages of Full-Time Workers (2020 Edition)
Minimum Wages at Current Prices in NCU (2020 Edition)
Real Minimum Wages (2020 Edition)
Wage gap by age (2020 Edition)
Employment Protection Legislation
Strictness of Employment Protection - Collective Dismissals (Additional Restrictions) (2020 Edition)
Strictness of Employment Protection - Individual and Collective Dismissals (Regular Contracts) (2020 Edition)
Strictness of Employment Protection - Individual Dismissals (Regular Contracts) (2020 Edition)
Strictness of Employment Protection - Temporary Contracts (2020 Edition)
Hours Worked
Average Annual Hours Actually Worked per Worker
Average Usual Weekly Hours Worked on the Main Job
Incidence of Employment by Usual Weekly Hours Worked
Usual Hours Worked by Weekly Hour Bands
Labour Force Statistics
ALFS Summary Tables (2018 Edition)
Employment by Activities and Status (ALFS) (2018 Edition)
Population and Labour Force (2017 Edition)
LFS by Sex and Age - Composition (2018 Edition)
LFS by Sex and Age - Indicators (2018 Edition)
LFS by Sex and Age (2018 Edition)
Labour Market Programmes
Public expenditure and participant stocks on LMP (2020 Edition)
Labour Market Statistics
Average Duration of Unemployment (2018 Edition)
Economic Short-Time Workers (2018 Edition)
Employment by job tenure intervals - average tenure (2018 Edition)
Employment by job tenure intervals - persons (2018 Edition)
Employment by permanency of the job (2018 Edition)
Full-Time/Part-Time Employment Based on a Common Definition (2018 Edition)
Full-Time/Part-Time Employment Based on National Definitions (2018 Edition)
Incidence of Economic Short-Term Workers (2018 Edition)
Incidence of Full-Time/Part-Time Employment Based on a Common Definition (2018 Edition)
Incidence of Full-Time/Part-Time Employment Based on National Definitions (2018 Edition)
Incidence of Involuntary Part-Time Workers (2018 Edition)
Incidence of permanent employment (2018 Edition)
Involuntary Part-Time Workers (2018 Edition)
Discouraged workers
Incidence of discouraged workers
Incidence of Unemployment by Duration (2018 Edition)
Unemployment by Duration (2018 Edition)
Trade Unions
Collective bargaining coverage (2019 Edition)
Trade Union (2019 Edition)
Union members and employees
Environment Statistics
Air and Climate
Air Emission Accounts (January 2019 Edition) copy
Emissions of Air Pollutants (2018 Edition)
Greenhouse Gas Emissions (2018 Edition)
Biodiversity
Threatened Species (March 2018 Edition) copy
Expenditures and Revenues
Environmental Protection Expenditure and Revenues (July 2015 Edition)
Forest
Depletion and Growth of Forest Resources in Terms of Volume (Thousand m3) (February 2019 Edition) copy
Green Growth
Green Growth Indicators (2018 Edition)
Land Resources
Land Use (February 2019 Edition) copy
Material Resources
Material Resources (March 2018 Edition) copy
Patents
Patent Summary Indicators (December 2018 Edition)
International Collaboration in Technology Development (Bilateral) (December 2018 Edition)
Patents - International Collaboration in Technology Development (Rates) (December 2018 Edition)
Technology Development (December 2018 Edition)
Technology Diffusion (2018 Edition)
Policy Instruments
Instruments Used for Environmental Policy (2018 Edition)
Waste
Food Waste (2018 Edition)
Generation of Primary Waste by Sector (thousand tonnes) (2018 Edition)
Municipal Waste, Generation and Treatment (2018 Edition)
Water
Freshwater Resources (Long-Term Annual Average) (2018 Edition)
Generation and Discharge of Wastewater (February 2017 Edition)
Lake and River Quality (August 2017 Edition)
Wastewater Treatment (Population Connected) (2018 Edition)
Health Statistics
Demographic References (2018 Edition)
Economic References (2018 Edition)
Health Care Resources (2018 Edition)
Health Care Utilisation (2018 Edition)
Health expenditure and financing (2018 Edition)
Healthcare Quality Indicators (2018 Edition)
Long-term care resources and utilisation (2018 Edition)
Non-Medical Determinants of Health (2018 Edition)
Pharmaceutical Market (2018 Edition)
Social protection (2018 Edition)
Institutional Investors Statistics
Institutional Investors' Assets: Annual and Quarterly
Institutional Investors' Indicators
Insurance Statistics
Balance Sheet and Income (2018 Edition)
Business Written in the Reporting Country (2018 Edition)
Commissions in the Reporting Country (2018 Edition)
Destinations of Investments by Direct Insurance or Reinsurance Companies (2018 Edition)
General Insurance Statistics (2018 Edition)
Gross Claims Payments (2018 Edition)
Gross Operating Expenses (2018 Edition)
Insurance Business by Domestic and Foreign Risks (2018 Edition)
Insurance Business Written Abroad by Branches (2018 Edition)
Insurance Business Written in the Reporting Country (2018 Edition)
Insurance Indicators (2018 Edition)
International Development Statistics
Creditor Reporting System
Creditor Reporting System
Detailed Aid Statistics
Aid by Sector and Donor [DAC5] (2018 Edition)
Aid Commitments to Countries and Regions [DAC3a] (2018 Edition)
Aid Disbursements to Countries and Regions[DAC2a] (2018 Edition)
Other Official Flows (OOF) and Export Credits - Disbursements [DAC2b] (2018 Edition)
Private Direct Investment and Other Private Capital [DAC4] (2018 Edition)
Total Flows by Donor [DAC1] (2018 Edition)
Total Official Development Financing (2018 Edition)
Total Official Flows (2018 Edition)
Total Receipts (2018 Edition)
Tying Status of Bilateral ODA [DAC7b] (2018 Edition)
Country Programmable Aid (2018 Edition)
Geographical Distribution of Financial Flows
GeoBook: Deflators
GeoBook: Geographical Flows to Developing Countries
GeoBook: Indicators
GeoBook: ODA by Sector - Bilateral Commitments by Donor and Recipient
Gender, Institutions and Development
Gender, Institutions and Development Database 2019 (GID-DB)
Gender, Institutions and Development Database 2019 (GID-DB)
Practice of Violence Against Women, 2019
Gender, Institutions and Development Database 2014 (GID-DB)
International Direct Investment Statistics
FDI - Flows by Industry (August 2016)
FDI - Flows by Partner Country (August 2016)
FDI - Positions by Industry (August 2016)
FDI - Positions by Partner Country (August 2016)
FDI series of BOP and IIP aggregates (August 2016)
Foreign Direct Investment
FDI Main Aggregates - Summary (2018Q3 Edition)
FDI Statistics by Partner Country and Industry - Summary (2018Q3 Edition)
FDI by Country and Economic Activity - BMD4 and Historical BMD3 Series (2018Q3 Edition)
FDI Financial Flows
FDI Financial Flows - Main Aggregates (2018Q3 Edition)
FDI Financial Flows - By Industry (2018Q3 Edition)
FDI Financial Flows - By Partner Country (2018Q3 Edition)
FDI Income
FDI Income - Main Aggregates (2018Q3 Editions)
FDI Income - By Industry (2018Q3 Editions)
FDI Income - By Partner Country (2018Q3 Editions)
FDI Positions
FDI Positions - Main Aggregates (2018Q3 Edition)
FDI Positions - By Industry (2018Q3 Edition)
FDI Positions - By Partner Country (2018Q3 Edition)
International Migration Statistics
Employment Rates by Place of Birth and Educational Attainment (25-64)
International Migration Database (June 2019 Edition)
NUP Rates by Place of Birth and Sex
Database on Immigrants in OECD Countries
Immigrants by Citizenship and Age
Immigrants by Detailed Occupation
Immigrants by Duration of Stay
Immigrants by Field of Study
Immigrants by Labour Force Status
Immigrants by Occupation
Immigrants by Sector
Immigrants by Sex and Age
International Trade in Services
EBOPS 2002 - Balanced International Trade in Services (1995-2012)
EBOPS 2010 - Trade in Services by Partner Country (2018 Edition)
ITSS Archives
TIS Extra Series
EBOPS 2002 - Trade in Services by Partner Country
Main Economic Indicators
Main Economic Indicators (May 2020 Edition)
Main Science and Technology Indicators
Main Science and Technology Indicators (February 2019 Edition)
Measuring Globalisation
Activities of Multinationals
Inward Activity of Multinationals - Share in National Total (Manufacturing)
Inward Activity of Multinationals by Industrial Sector - ISIC Rev. 4
Inward Activity of Multinationals by Industrial Sector (Manufacturing) - ISIC Rev. 3
Inward Activity of Multinationals by Investing Country - ISIC Rev. 4
Inward Activity of Multinationals by Investing Country, Total Manufacturing - ISIC Rev. 3
Inward Activity of Multinationals in ISIC Rev. 3 (Services)
Outward Activity of Multinationals - Share in National Total (Manufacturing)
Outward Activity of Multinationals by Country of Location - ISIC Rev. 3
Outward Activity of Multinationals by Country of Location- ISIC Rev. 4
Outward Activity of Multinationals by Industrial Sector - ISIC Rev. 4
Outward Activity of Multinationals by Industrial Sector (Manufacturing) - ISIC Rev. 3
Outward Activity of Multinationals in ISIC Rev. 3 (Services)
Maritime Transport Costs
Maritime Transport Costs
Trade by Enterprise Characteristics ISIC Rev4
I: TEC by Sector and Size-Class
II: TEC by Top Enterprises.
III: TEC by Countries and Partner Zones
IV: TEC by Number of Partner Countries (Rev. 4)
V: TEC by Commodity Groups (CPC) (Rev. 4)
VI: TEC by Type of Trader (Rev. 4)
VII: TEC by Ownership (Domestic or Foreign)
IX: TEC by Activity Sectors
VIII: TEC by Exports Intensity
X: TEC by Partner Countries and Size-Class
Trade by Enterprise Characteristics ISIC Rev3
I: TEC by Size Classes
II: TEC by Top Enterprises
III: TEC by Partner Zones and Countries
IV: TEC by Number of Partner Countries
V: TEC by Commodity Groups (CPC)
Monthly Statistics of International Trade
Calculated Variables
Exchange Rates (US Dollars)
International Trade Indicators
Trade in value by partner countries
Trade in value classified by sections of SITC
Volume, unit value and price index - OECD base year
National Accounts
Quarterly National Accounts (2019Q4 Edition)
Patent Statistics
International Co-operation in Patents (October 2017 Edition)
Patents by Technology (October 2017 Edition)
Patents in Selected Technologies by TL3 Regions (March 2016 Edition)
Pensions Statistics
Pensions at a Glance
Funded Pension Statistics (2018 Edition)
Funded Pensions Indicators (2018 Edition)
Public Pension Reserve Funds' Statistics
Product Market Regulation Statistics
Economy-Wide Regulation
Product Market Regulation 2013
Sectoral Regulation
Professional Services 2013
Regulation in energy, transport and communications 2013
Regulation in retail trade 2013
Productivity Statistics
Growth in GDP Per Capita, Productivity and ULC (January 2019 Edition)
Labour Productivity Growth in the Total Economy (November 2013 Edition)
Level of GDP per Capita and Productivity (January 2019 Edition)
Multi-Factor Productivity (November 2013 Edition)
Productivity and ULC by Main Economic Activity (ISIC Rev.4) (January 2019 Edition)
Productivity by Industry (ISIC Rev.3)
Breakdown of Gross Domestic Product per Capita in its Components (November 2013 Edition)
Capital Services by Type of Asset (November 2013 Edition)
Labour Productivity Levels in the Total Economy (November 2013 Edition)
Regional Statistics
Metropolitan Areas (2018 Edition)
Regional Demography (2018 Edition)
Regional Economy (2018 Edition)
Regional Innovation (2018 Edition)
Regional Labour (2018 Edition)
Regional Social and Environmental Indicators (2018 Edition)
Regional Well-Being (2016 Edition)
Social and Welfare Statistics
Child Well-Being
Income Distribution and Poverty (2018 Edition)
Better Life Index
Better Life Index (2017 Edition)
Better Life Index (2016 Edition)
Social Expenditure
Social Expenditure (Detailed Data) (2019 Edition)
Social Expenditure (Reference Series) (2019 Edition)
Social Expenditure (Aggregated Data) (2013 Edition)
Structural Analysis (STAN) Databases
STAN Bilateral Trade Database by Industry and End-Use Category, 2012
STAN Database for Structural Analysis (ISIC Rev. 3, SNA93)
STAN Database for Structural Analysis (ISIC Rev. 4, SNA08)
STAN Database for Structural Analysis (ISIC Rev. 4) (July 2018)
STAN Indicators (ISIC Rev. 3, SNA93)
STAN R&D Expenditures in Industry (ISIC Rev. 4) (December 2018 Edition)
Input-Output Database
CO2 Emissions Embodied in International Trade (2015 Edition)
Input-Output Tables ISIC Rev. 3
Input-Output Tables ISIC Rev. 4
STAN Input-Outpout Inverse Matrix - Total (2012)
STAN Input-Output Intermediate Import Ratio (2012)
STAN Input-Output Inverse Matrix Coefficients - Domestic (2012)
STAN Input-Output: Imports Content of Exports (2012)
STAN Input-Output: Total, Domestic and Imports (2012)
Trade in Employment (ISIC Rev. 3): Core Indicators
Tax Statistics
Revenue Statistics
[Discontinued] VAT and Customs Duties - European Union
Financing of Social Security Benefits
Reference Series for Revenue Statistics
Revenue Statistics - Comparative Tables
Social Security Contributions and Payroll Taxes Paid by Government
Revenue Statistics by Country
Details of Tax Revenue - Australia
Details of Tax Revenue - Austria
Details of Tax Revenue - Belgium
Details of Tax Revenue - Canada
Details of Tax Revenue - Chile
Details of Tax Revenue - Czech Republic
Details of Tax Revenue - Denmark
Details of Tax Revenue - Estonia
Details of Tax Revenue - Finland
Details of Tax Revenue - France
Details of Tax Revenue - Greece
Details of Tax Revenue - Hungary
Details of Tax Revenue - Iceland
Details of Tax Revenue - Ireland
Details of Tax Revenue - Israel
Details of Tax Revenue - Italy
Details of Tax Revenue - Japan
Details of Tax Revenue - Korea
Details of Tax Revenue - Latvia
Details of Tax Revenue - Lithuania
Details of Tax Revenue - Mexico
Details of Tax Revenue - Netherlands
Details of Tax Revenue - New Zealand
Details of Tax Revenue - Norway
Details of Tax Revenue - Poland
Details of Tax Revenue - Portugal
Details of Tax Revenue - Slovak Republic
Details of Tax Revenue - Slovenia
Details of Tax Revenue - Spain
Details of Tax Revenue - Sweden
Details of Tax Revenue - Switzerland
Details of Tax Revenue - Turkey
Details of Tax Revenue - United Kingdom
Details of Tax Revenue - United States
Details of Tax Revenue - Germany
Details of Tax Revenue - Luxembourg
Revenue Statistics, Latin America
Reference Series - Latin American Countries
Revenue Statistics - Latin American Countries: Comparative Tables
Revenue Statistics, Latin America by Country
Detail of Tax Revenue - Argentina (2018 Edition)
Details of Tax Revenue - Barbados (2018 Edition)
Details of Tax Revenue - Belize (2018 Edition)
Details of Tax Revenue - Bolivia (2018 Edition)
Detail of Tax Revenue - Brazil (2018 Edition)
Detail of Tax Revenue - Chile (2018 Edition)
Details of Tax Revenue - Colombia (2018 Edition)
Details of Tax Revenue - Costa Rica (2018 Edition)
Details of Tax Revenue - Cuba (2018 Edition)
Details of Tax Revenue - Dominican Republic (2018 Edition)
Details of Tax Revenue - Ecuador (2018 Edition)
Details of Tax Revenue - El Salvador (2018 Edition)
Details of Tax Revenue - Guatemala (2018 Edition)
Details of Tax Revenue - Guyana (2018 Edition)
Details of Tax Revenue - Honduras (2018 Edition)
Details of Tax Revenue - Jamaica (2018 Edition)
Details of Tax Revenue - Mexico (2018 Edition)
Details of Tax Revenue - Nicaragua (2018 Edition)
Details of Tax Revenue - Panama (2018 Edition)
Details of Tax Revenue - Paraguay (2018 Edition)
Details of Tax Revenue - Peru (2018 Edition)
Details of Tax Revenue - The Bahamas (2018 Edition)
Details of Tax Revenue - Trinidad and Tobago (2018 Edition)
Details of Tax Revenue - Uruguay (2018 edition)
Details of Tax Revenue - Venezuela (2018 Edition)
Fiscal Decentralisation
Earmarked Intergovernmental Grants by Function
Earmarked Intergovernmental Grants by Function - Percentage of Total Grants Issued
Intergovernmental Grants by Type
Intergovernmental Grants by Type - Percentage of Total Revenue
Tax Autonomy
Taxes and Benefits
Out of Work - Tax/Benefit (2018 Edition)
Taxing Wages
Country Tables (Current Model)
Comparative Tables
Telecommunications and Internet Statistics
Broadband Database
Telecom 2013
Tables
Consumer Price Index (International Financial Statistics PCPI_IX)
Life Expectancy at Birth
Measles Immunisation
Pharmaceutical Exports
Charts
Access to Hygiene Facilities and Infant Mortality
CO2 Emissions from Fuel Combustion
Electricity Generation by Solar PV and Wind
Intentional Homicides per 100,000 People
Military expenditure (% of GDP)
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LFS by Sex and Age (2018 Edition)
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Frequency
Annual
Time
2010
2011
2012
2013
2014
2015
2016
2017
Country
Sex
Age
Series
Australia
All persons
15 to 19
Employment
678.680023193359
674.429992675781
665.570007324219
659.460021972656
644.670013427734
644.300018310547
648.02001953125
647.769989013672
Labour Force
816.540008544922
804.369995117188
799.430023193359
788.959991455078
790.400024414062
791.080017089844
785.629974365234
788.239990234375
Population
1 455.67004394531
1 452.85998535156
1 461.27001953125
1 468.31994628906
1 472.88000488281
1 473.08996582031
1 476.61999511719
1 483.94000244141
Unemployment
137.859992980957
129.940002441406
133.849998474121
129.5
145.740005493164
146.790000915527
137.619998931885
140.479999542236
15 to 24
Employment
1 843.13998413086
1 842.64001464844
1 835.51000976562
1 822.46002197266
1 806.36001586914
1 838.94003295898
1 846.47998046875
1 865.31002807617
Labour Force
2 083.88998413086
2 079.20001220703
2 079.43002319336
2 076.13998413086
2 083.58001708984
2 116.29998779297
2 113.6999206543
2 134.34997558594
Population
3 045.50006103516
3 051.21997070312
3 079.72003173828
3 106.79998779297
3 129.55999755859
3 145.34997558594
3 164.82000732422
3 192.69000244141
Unemployment
240.739994049072
236.570003509522
243.909999847412
253.680000305176
277.230007171631
277.359996795654
267.230003356934
269.049999237061
15 to 64
Employment
10 705.0699768066
10 874.7799987793
10 978.2300109863
11 071.659942627
11 141.6499938965
11 358.5000915527
11 528.4199829102
11 762.1900024414
Labour Force
11 306.1600036621
11 471.219909668
11 598.0299682617
11 754.0100708008
11 880.1700134277
12 111.7399291992
12 247.1999511719
12 481.0198974609
Population
14 791.8001098633
14 967.0200195312
15 175.1000366211
15 384.3999023438
15 568.7301025391
15 741.2799072266
15 916.6200561523
16 117.0598754883
Unemployment
601.079992294312
596.460005283356
619.82000207901
682.340001106262
738.530003547668
753.260000228882
718.770002365112
718.849998474121
20 to 24
Employment
1 164.4599609375
1 168.21002197266
1 169.94000244141
1 163
1 161.69000244141
1 194.64001464844
1 198.4599609375
1 217.5400390625
Labour Force
1 267.34997558594
1 274.83001708984
1 280
1 287.17999267578
1 293.17999267578
1 325.21997070312
1 328.06994628906
1 346.10998535156
Population
1 589.83001708984
1 598.35998535156
1 618.45001220703
1 638.48004150391
1 656.67999267578
1 672.26000976562
1 688.20001220703
1 708.75
Unemployment
102.880001068115
106.630001068115
110.060001373291
124.180000305176
131.490001678467
130.569995880127
129.610004425049
128.569999694824
25 to 29
Employment
1 263.42004394531
1 313.08001708984
1 320.82000732422
1 343.67999267578
1 359.07000732422
1 390.44000244141
1 416.75994873047
1 444.16003417969
Labour Force
1 334.85998535156
1 380.34997558594
1 393.94000244141
1 430.19000244141
1 445.83001708984
1 480.03997802734
1 501.27996826172
1 531.64996337891
Population
1 614.05999755859
1 646.30999755859
1 686.21002197266
1 721.38000488281
1 749.94000244141
1 780.07000732422
1 806.04998779297
1 832.21997070312
Unemployment
71.439998626709
67.2600002288818
73.120002746582
86.5
86.7599983215332
89.5999984741211
84.5200004577637
87.4900016784668
25 to 34
Employment
2 425.66003417969
2 512.52001953125
2 567.70001220703
2 635.80999755859
2 695.21997070312
2 774.59002685547
2 838.54998779297
2 894.70001220703
Labour Force
2 552.7900390625
2 632.14996337891
2 696.27996826172
2 785.49005126953
2 849.92004394531
2 934.14996337891
2 989.08001708984
3 048.08996582031
Population
3 107.14001464844
3 177.05999755859
3 270.78997802734
3 366.39996337891
3 447.66003417969
3 524.72003173828
3 592.01000976562
3 655.05993652344
Unemployment
127.129999160767
119.620000839233
128.580001831055
149.679998397827
154.699996948242
159.560001373291
150.529998779297
153.400001525879
25 to 54
Employment
7 344.21997070312
7 467.36999511719
7 550.17999267578
7 631.06994628906
7 686.84002685547
7 822.36004638672
7 942.88000488281
8 091.61999511719
Labour Force
7 653.58001708984
7 773.36987304688
7 869.07995605469
7 995.34008789062
8 077.90002441406
8 222.86993408203
8 317.20001220703
8 464.78991699219
Population
9 242.18005371094
9 357.26000976562
9 502.96997070312
9 642.10992431641
9 755.31011962891
9 863.63995361328
9 967.7900390625
10 085.3798828125
Unemployment
309.359998703003
306.01000213623
318.930002212524
364.260000228882
391.059997558594
400.510004043579
374.299999237061
373.189998626709
25 to 64
Employment
8 861.92999267578
9 032.13998413086
9 142.7200012207
9 249.1999206543
9 335.28997802734
9 519.56005859375
9 681.94000244141
9 896.87997436524
Labour Force
9 222.27001953125
9 392.01989746094
9 518.59994506836
9 677.87008666992
9 796.58999633789
9 995.43994140625
10 133.5000305176
10 346.669921875
Population
11 746.3000488281
11 915.8000488281
12 095.3800048828
12 277.5999145508
12 439.1701049805
12 595.9299316406
12 751.8000488281
12 924.3698730469
Unemployment
360.339998245239
359.890001773834
375.910002231598
428.660000801086
461.299996376038
475.900003433228
451.539999008179
449.799999237061
30 to 34
Employment
1 162.23999023438
1 199.44000244141
1 246.88000488281
1 292.13000488281
1 336.14996337891
1 384.15002441406
1 421.7900390625
1 450.53997802734
Labour Force
1 217.93005371094
1 251.79998779297
1 302.33996582031
1 355.30004882812
1 404.09002685547
1 454.10998535156
1 487.80004882812
1 516.44000244141
Population
1 493.08001708984
1 530.75
1 584.57995605469
1 645.01995849609
1 697.72003173828
1 744.65002441406
1 785.96002197266
1 822.83996582031
Unemployment
55.6900005340576
52.3600006103516
55.4599990844727
63.1799983978272
67.939998626709
69.9600028991699
66.0099983215332
65.9099998474121
35 to 39
Employment
1 254.16998291016
1 244.76995849609
1 234
1 213.26995849609
1 208.88000488281
1 237.89001464844
1 279.29998779297
1 334.03002929688
Labour Force
1 302.64001464844
1 295.29998779297
1 283.0400390625
1 271.33001708984
1 272.02001953125
1 302.51000976562
1 335.97003173828
1 393
Population
1 589.82000732422
1 567.09002685547
1 552.15997314453
1 548.30999755859
1 552.5400390625
1 571.23004150391
1 604.70001220703
1 653.9599609375
Unemployment
48.4699993133545
50.5300006866455
49.0499992370606
58.0500011444092
63.1399993896484
64.620002746582
56.670000076294
58.9699993133545
35 to 44
Employment
2 489.77996826172
2 518.50994873047
2 547.22998046875
2 541.71997070312
2 534.71002197266
2 558.78002929688
2 591.89996337891
2 649.84002685547
Labour Force
2 587.45001220703
2 620.97998046875
2 650.72003173828
2 657.85998535156
2 663.13000488281
2 691.91998291016
2 708.65002441406
2 763.43994140625
Population
3 125.92999267578
3 149.76000976562
3 179.78997802734
3 200.79998779297
3 209.81005859375
3 218.58001708984
3 226.34002685547
3 253.75994873047
Unemployment
97.6699981689453
102.470001220703
103.5
116.120000839233
128.420000076294
133.140003204346
116.739999771118
113.609998703003
40 to 44
Employment
1 235.60998535156
1 273.73999023438
1 313.22998046875
1 328.45001220703
1 325.83001708984
1 320.89001464844
1 312.59997558594
1 315.80999755859
Labour Force
1 284.80999755859
1 325.67999267578
1 367.67999267578
1 386.52996826172
1 391.10998535156
1 389.40997314453
1 372.67999267578
1 370.43994140625
Population
1 536.10998535156
1 582.66998291016
1 627.63000488281
1 652.48999023438
1 657.27001953125
1 647.34997558594
1 621.64001464844
1 599.79998779297
Unemployment
49.1999988555908
51.9400005340576
54.4500007629394
58.0699996948242
65.2800006866455
68.5200004577637
60.0699996948242
54.6399993896484
45 to 49
Employment
1 268.39996337891
1 254.21002197266
1 239.41003417969
1 233.46997070312
1 239.96002197266
1 263.72998046875
1 294.64001464844
1 338.25
Labour Force
1 312.14001464844
1 299.9599609375
1 283.05999755859
1 285.41003417969
1 294.34002685547
1 320.25
1 351.44995117188
1 393.30999755859
Population
1 549
1 538.05999755859
1 530.84997558594
1 530.32995605469
1 540.14001464844
1 563.9599609375
1 602.82000732422
1 640.60998535156
Unemployment
43.7399997711182
45.7600002288818
43.6599998474121
51.9500007629394
54.3800010681152
56.5200004577637
56.7999992370606
55.0499992370606
45 to 54
Employment
2 428.77996826172
2 436.34002685547
2 435.25
2 453.53997802734
2 456.91003417969
2 488.98999023438
2 512.43005371094
2 547.07995605469
Labour Force
2 513.33996582031
2 520.23992919922
2 522.07995605469
2 551.99005126953
2 564.84997558594
2 596.79998779297
2 619.46997070312
2 653.26000976562
Population
3 009.11004638672
3 030.44000244141
3 052.39001464844
3 074.90997314453
3 097.84002685547
3 120.33990478516
3 149.44000244141
3 176.55999755859
Unemployment
84.560001373291
83.9200000762939
86.8500003814697
98.4600009918213
107.940000534058
107.809999465942
107.030000686646
106.179998397827
50 to 54
Employment
1 160.38000488281
1 182.13000488281
1 195.83996582031
1 220.07000732422
1 216.95001220703
1 225.26000976562
1 217.7900390625
1 208.82995605469
Labour Force
1 201.19995117188
1 220.27996826172
1 239.01995849609
1 266.58001708984
1 270.50994873047
1 276.54998779297
1 268.02001953125
1 259.95001220703
Population
1 460.11004638672
1 492.38000488281
1 521.5400390625
1 544.58001708984
1 557.70001220703
1 556.37994384766
1 546.61999511719
1 535.95001220703
Unemployment
40.8200016021728
38.1599998474121
43.1900005340576
46.5100002288818
53.5599994659424
51.2899990081787
50.230001449585
51.1299991607666
55 to 59
Employment
916.170013427734
941
957.279998779297
977.439971923828
996.489959716797
1 017.11999511719
1 040.39999389648
1 077.16998291016
Labour Force
946.309997558594
973.740020751953
992.609985351562
1 014.26000976562
1 036.37997436523
1 060.02001953125
1 083.47003173828
1 121.41998291016
Population
1 309.11999511719
1 336.13000488281
1 363.85998535156
1 390.39996337891
1 418.73004150391
1 447.26000976562
1 476.78997802734
1 505.36999511719
Unemployment
30.1399993896484
32.7399997711182
35.3299999237061
36.8100004196167
39.8899993896484
42.9099998474121
43.0699996948242
44.25
55 to 64
Employment
1 517.71002197266
1 564.76998901367
1 592.54000854492
1 618.12997436523
1 648.44995117188
1 697.20001220703
1 739.05999755859
1 805.25997924805
Labour Force
1 568.69000244141
1 618.65002441406
1 649.51998901367
1 682.5299987793
1 718.68997192383
1 772.57000732422
1 816.30001831055
1 881.88000488281
Population
2 504.11999511719
2 558.5400390625
2 592.41003417969
2 635.48999023438
2 683.85998535156
2 732.28997802734
2 784.01000976562
2 838.98999023438
Unemployment
50.9799995422363
53.8799996376038
56.9800000190735
64.4000005722046
70.2399988174438
75.3899993896484
77.2399997711182
76.6100006103516
60 to 64
Employment
601.540008544922
623.769989013672
635.260009765625
640.690002441406
651.959991455078
680.080017089844
698.660003662109
728.089996337891
Labour Force
622.380004882812
644.910003662109
656.910003662109
668.269989013672
682.309997558594
712.549987792969
732.829986572266
760.460021972656
Population
1 195
1 222.41003417969
1 228.55004882812
1 245.09002685547
1 265.12994384766
1 285.02996826172
1 307.22003173828
1 333.61999511719
Unemployment
20.8400001525879
21.1399998664856
21.6500000953674
27.5900001525879
30.3499994277954
32.4799995422363
34.1700000762939
32.3600006103516
65 to 69
Employment
220.459999084473
239.890007019043
267.909996032715
280.360000610352
285.110000610352
290.799995422363
308.309997558594
318.949996948242
Labour Force
224.240005493164
242.720001220703
272.290000915527
285.099990844727
291.779998779297
296.110000610352
314.049995422363
323.579986572266
Population
910.559997558594
959.269989013672
1 022.94998168945
1 079.0400390625
1 120.04998779297
1 158.44000244141
1 190.25
1 197.34002685547
Unemployment
3.77999997138977
2.83000004291534
4.36000001430512
4.73999989032745
6.67000019550324
5.30999994277954
5.73999989032745
4.62999999523163
65+
Employment
317.170000076294
341.560007095337
378.649993896484
396.740001678467
416.559997558594
429.549995422363
457.139995574951
486.630001068115
Labour Force
322.090003967285
345.510000228882
384.880004882812
402.81999206543
426.029998779297
436.170001983643
464.349998474121
493.529987335205
Population
2 990.92993164062
3 095.20999145508
3 216.12997436523
3 334.28997802734
3 447.64996337891
3 560.59991455078
3 677.11999511719
3 798.71002197266
Unemployment
4.91999998688698
3.97000005841255
6.21999999880791
6.07999983429909
9.47000014781952
6.61999994516373
7.20999985933304
6.90000003576279
70+
Employment
96.7100009918213
101.670000076294
110.73999786377
116.380001068115
131.449996948242
138.75
148.829998016357
167.680004119873
Labour Force
97.8499984741211
102.789999008179
112.590003967285
117.720001220703
134.25
140.060001373291
150.300003051758
169.950000762939
Population
2 080.36993408203
2 135.94000244141
2 193.17999267578
2 255.24993896484
2 327.59997558594
2 402.15991210938
2 486.86999511719
2 601.36999511719
Unemployment
1.14000001549721
1.14000001549721
1.85999998450279
1.33999994397163
2.79999995231628
1.31000000238419
1.46999996900558
2.27000004053116
Total
Employment
11 022.2399768829
11 216.3400058746
11 356.8800048828
11 468.3999443054
11 558.2099914551
11 788.0500869751
11 985.5599784851
12 248.8200035095
Labour Force
11 628.2500076294
11 816.7299098968
11 982.9099731445
12 156.8300628662
12 306.200012207
12 547.9099311829
12 711.549949646
12 974.5498847961
Population
17 782.7300415039
18 062.2300109863
18 391.2300109863
18 718.6898803711
19 016.380065918
19 301.8798217773
19 593.7400512695
19 915.7698974609
Unemployment
605.999992281198
600.430005341768
626.040002077818
688.420000940561
748.000003695488
759.880000174046
725.980002224445
725.749998509884
20 to 64
Employment
10 026.3899536133
10 200.3500061035
10 312.6600036621
10 412.1999206543
10 496.9799804688
10 714.2000732422
10 880.3999633789
11 114.4200134277
Labour Force
10 489.6199951172
10 666.8499145508
10 798.5999450684
10 965.0500793457
11 089.7699890137
11 320.6599121094
11 461.5699768066
11 692.7799072266
Population
13 336.130065918
13 514.1600341797
13 713.8300170898
13 916.0799560547
14 095.8500976562
14 268.1899414062
14 440.0000610352
14 633.1198730469
Unemployment
463.219999313354
466.520002841949
485.970003604889
552.840001106262
592.789998054504
606.469999313354
581.150003433228
578.369998931885
Austria
15 to 19
Employment
181.946998596191
180.056999206543
178.365997314453
165.579002380371
158.666999816895
149.611999511719
145.060001373291
137.067001342773
Labour Force
204.769996643066
201.727996826172
199.399002075195
187.991996765137
179.006996154785
169.00700378418
168.819999694824
156.662002563477
Population
482.125991821289
473.955001831055
468.875
460.432998657227
450.703994750977
444.257995605469
446.330001831055
430.796005249023
Unemployment
22.8229999542236
21.6700000762939
21.0329999923706
22.4130001068115
20.3399991989136
19.3949995040894
23.7600002288818
19.5960006713867
15 to 24
Employment
519.275993347168
527.999000549316
526.958984375
520.952003479004
508.19799041748
500.011001586914
501.200000762939
483.667999267578
Labour Force
573.624000549316
579.860992431641
581.627014160156
576.73299407959
566.431999206543
559.212997436523
564.719993591309
536.239013671875
Population
984.322998046875
979.563003540039
981.810989379883
981.259017944336
976.136978149414
973.764984130859
982.68000793457
956.097030639648
Unemployment
54.3489999771118
51.8610000610352
54.6670007705688
55.7830009460449
58.233998298645
59.2009992599487
63.5200004577637
52.5699996948242
15 to 64
Employment
3 943.95997238159
3 982.45199203491
4 013.46902084351
4 030.14195251465
4 034.33701324463
4 067.70703125
4 142.75995635986
4 185.42694854736
Labour Force
4 147.14802932739
4 175.87703704834
4 222.05903244019
4 261.2200088501
4 278.58502960205
4 319.19000244141
4 412.4299659729
4 432.7070274353
Population
5 572.22192382812
5 601.2149810791
5 620.92399597168
5 643.38497924805
5 675.9349822998
5 720.63597106934
5 790.43003845215
5 799.85998535156
Unemployment
203.190000325441
193.423000603914
208.594001427293
231.080003321171
244.247999101877
251.484998583794
269.639998018742
247.274998992682
20 to 24
Employment
337.328994750977
347.942001342773
348.592987060547
355.373001098633
349.530990600586
350.399002075195
356.139999389648
346.600997924805
Labour Force
368.85400390625
378.132995605469
382.228012084961
388.740997314453
387.425003051758
390.205993652344
395.899993896484
379.577011108398
Population
502.197006225586
505.608001708984
512.935989379883
520.826019287109
525.432983398438
529.506988525391
536.350006103516
525.301025390625
Unemployment
31.5260000228882
30.1909999847412
33.6340007781982
33.3700008392334
37.8939990997314
39.8059997558594
39.7600002288818
32.9739990234375
25 to 29
Employment
435.401992797852
439.220993041992
442.889999389648
440.632995605469
440.873001098633
454.179992675781
472.509994506836
474.11799621582
Labour Force
465.462005615234
466.322006225586
473.685012817383
475.335006713867
474.988006591797
484.95100402832
507.809982299805
506.64599609375
Population
548.463989257812
546.440979003906
544.341979980469
547.678009033203
556.388000488281
566.365020751953
583.709991455078
590.036010742188
Unemployment
30.0600004196167
27.1009998321533
30.7950000762939
34.7030010223389
34.1150007247925
30.7710008621216
35.3000001907349
32.5279989242554
25 to 34
Employment
866.713989257812
883.011993408203
902.035995483398
902.26399230957
917.580001831055
940.095977783203
970.769989013672
970.549987792969
Labour Force
922.065002441406
929.226013183594
954.095001220703
965.296020507812
984.88102722168
1 003.57699584961
1 038.66999816895
1 032.34300231934
Population
1 070.10498046875
1 074.75598144531
1 086.45498657227
1 104.52700805664
1 127.40701293945
1 150.27301025391
1 175.58001708984
1 181.54901123047
Unemployment
55.3520011901856
46.2130002975464
52.0600004196167
63.0340013504028
67.3010015487671
63.4809999465942
67.8999996185303
61.793999671936
25 to 54
Employment
3 035.56298828125
3 062.96398925781
3 071.86003112793
3 067.01695251465
3 061.4690246582
3 077.26902770996
3 103.50996398926
3 119.83595275879
Labour Force
3 174.54502868652
3 189.93203735352
3 211.02301025391
3 224.96601867676
3 229.05302429199
3 245.25900268555
3 281.51997375488
3 288.77500915527
Population
3 643.2409362793
3 641.55996704102
3 642.84301757812
3 651.53295898438
3 669.46801757812
3 687.18499755859
3 713.52001953125
3 709.29397583008
Unemployment
138.982000350952
126.966000080109
139.166000366211
157.951002120972
167.584000587463
167.992999076843
177.98999786377
168.9359998703
25 to 64
Employment
3 424.68397903442
3 454.4529914856
3 486.51003646851
3 509.18994903564
3 526.13902282715
3 567.69602966309
3 641.55995559692
3 701.75894927978
Labour Force
3 573.52402877808
3 596.0160446167
3 640.43201828003
3 684.48701477051
3 712.15303039551
3 759.97700500488
3 847.70997238159
3 896.46801376343
Population
4 587.89892578125
4 621.65197753906
4 639.1130065918
4 662.12596130371
4 699.79800415039
4 746.87098693848
4 807.75003051758
4 843.76295471191
Unemployment
148.84100034833
141.562000542879
153.927000656724
175.297002375126
186.014000803232
192.283999323845
206.119997560978
194.704999297857
30 to 34
Employment
431.311996459961
443.791000366211
459.14599609375
461.630996704102
476.707000732422
485.915985107422
498.259994506836
496.431991577148
Labour Force
456.602996826172
462.904006958008
480.40998840332
489.961013793945
509.893020629883
518.625991821289
530.860015869141
525.697006225586
Population
521.640991210938
528.315002441406
542.113006591797
556.848999023438
571.019012451172
583.907989501953
591.870025634766
591.513000488281
Unemployment
25.2920007705688
19.1120004653931
21.2650003433228
28.331000328064
33.1860008239746
32.7099990844727
32.5999994277954
29.2660007476807
35 to 39
Employment
502.541000366211
490.993988037109
473.781005859375
463.665008544922
459.990997314453
460.223999023438
467.529998779297
487.49299621582
Labour Force
522.640014648438
512.728012084961
494.788009643555
487.01399230957
485.147003173828
486.427001953125
496.730010986328
513.396011352539
Population
588.289001464844
569.549987792969
552.877014160156
543.14697265625
541.286010742188
543.919006347656
557.619995117188
572.617980957031
Unemployment
20.0979995727539
21.7330007553101
21.0089998245239
23.3489999771118
25.1560001373291
26.2049999237061
29.1999998092651
25.9010000228882
35 to 44
Employment
1 103.70399475098
1 082.45599365234
1 050.63702392578
1 019.62298583984
990.296981811524
977.719009399414
969.009994506836
977.03498840332
Labour Force
1 145.73403930664
1 125.60902404785
1 094.78898620605
1 066.56700134277
1 039.67797851562
1 029.20199584961
1 025.32000732422
1 030.41400146484
Population
1 281.60098266602
1 248.35098266602
1 215.29602050781
1 183.50796508789
1 159.25100708008
1 145.54602050781
1 145.92999267578
1 146.04299926758
Unemployment
42.0299997329712
43.1520004272461
44.1540002822876
46.9450006484985
49.3819999694824
51.4859991073608
56.2999992370606
53.375
40 to 44
Employment
601.162994384766
591.462005615234
576.856018066406
555.957977294922
530.30598449707
517.495010375977
501.479995727539
489.5419921875
Labour Force
623.094024658203
612.881011962891
600.0009765625
579.553009033203
554.530975341797
542.774993896484
528.589996337891
517.017990112305
Population
693.311981201172
678.800994873047
662.419006347656
640.360992431641
617.964996337891
601.627014160156
588.309997558594
573.425018310547
Unemployment
21.9320001602173
21.418999671936
23.1450004577637
23.5960006713867
24.2259998321533
25.2809991836548
27.0999994277954
27.4739999771118
45 to 49
Employment
593.97900390625
601.815002441406
603.303009033203
607.85498046875
605.153015136719
595.481018066406
588.089996337891
580.940979003906
Labour Force
614.946990966797
624.238006591797
627.396026611328
633.924011230469
630.402008056641
624.070007324219
617.339996337891
608.298004150391
Population
695.782989501953
704.136993408203
706.786987304688
707.412994384766
706.2080078125
698.580993652344
688.070007324219
673.660980224609
Unemployment
20.967999458313
22.422999382019
24.092999458313
26.0679998397827
25.2489995956421
28.58899974823
29.2399997711182
27.3559999465942
45 to 54
Employment
1 065.14500427246
1 097.49600219727
1 119.18701171875
1 145.12997436523
1 153.59204101562
1 159.45404052734
1 163.72998046875
1 172.2509765625
Labour Force
1 106.74598693848
1 135.09700012207
1 162.13902282715
1 193.10299682617
1 204.49401855469
1 212.48001098633
1 217.52996826172
1 226.01800537109
Population
1 291.53497314453
1 318.45300292969
1 341.09201049805
1 363.49798583984
1 382.80999755859
1 391.36596679688
1 392.01000976562
1 381.70196533203
Unemployment
41.5999994277954
37.6009993553162
42.9519996643066
47.9720001220703
50.9009990692139
53.0260000228882
53.7899990081787
53.7670001983643
50 to 54
Employment
471.166000366211
495.680999755859
515.884002685547
537.274993896484
548.439025878906
563.973022460938
575.639984130859
591.309997558594
Labour Force
491.79899597168
510.858993530273
534.74299621582
559.178985595703
574.092010498047
588.410003662109
600.189971923828
617.720001220703
Population
595.751983642578
614.316009521484
634.305023193359
656.084991455078
676.601989746094
692.784973144531
703.940002441406
708.040985107422
Unemployment
20.6319999694824
15.1779999732971
18.8590002059937
21.9040002822876
25.6519994735718
24.4370002746582
24.5499992370605
26.41100025177
55 to 59
Employment
292.516990661621
298.471000671387
320.242004394531
338.110992431641
355.720001220703
379.708999633789
406.539993286133
443.533996582031
Labour Force
301.322998046875
310.363006591797
332.124008178711
352.570999145508
372.217010498047
400.501998901367
429.699996948242
464.714004516602
Population
491.007995605469
504.863006591797
523.894989013672
542.260009765625
563.336975097656
585.985992431641
605.920013427734
626.705993652344
Unemployment
8.80599999427796
11.8920004367828
11.8830003738403
14.4580001831055
16.4970002174377
20.7930002212524
23.1599998474121
21.1799993515015
55 to 64
Employment
389.120990753174
391.489002227783
414.650005340576
442.172996520996
464.669998168945
490.427001953125
538.049991607666
581.922996520996
Labour Force
398.979000091553
406.084007263184
429.409008026123
459.52099609375
483.100006103516
514.718002319336
566.189998626709
607.693004608154
Population
944.657989501953
980.092010498047
996.269989013672
1 010.59300231934
1 030.32998657227
1 059.68598937988
1 094.23001098633
1 134.46897888184
Unemployment
9.8589999973774
14.5960004627705
14.761000290513
17.3460002541542
18.4300002157688
24.2910002470016
28.1299996972084
25.768999427557
60 to 64
Employment
96.6040000915527
93.0180015563965
94.4080009460449
104.062004089355
108.949996948242
110.718002319336
131.509998321533
138.388999938965
Labour Force
97.6560020446777
95.7210006713867
97.2849998474121
106.949996948242
110.882995605469
114.216003417969
136.490001678467
142.979000091553
Population
453.649993896484
475.22900390625
472.375
468.332992553711
466.993011474609
473.699996948242
488.309997558594
507.762985229492
Unemployment
1.05300000309944
2.70400002598762
2.87799991667271
2.88800007104874
1.93299999833107
3.49800002574921
4.9699998497963
4.58900007605553
65 to 69
Employment
39.5090007781982
36.4090003967285
34.8590002059936
37.0279998779297
42.814001083374
39.7690010070801
38.75
40.3239994049072
Labour Force
39.6589994430542
36.6219997406006
35.081000328064
37.1920003890991
43.2929992675781
39.7959995269775
38.9799995422363
40.7290000915527
Population
443.313003540039
407.711990356445
402.718002319336
411.982009887695
418.224990844727
427.916000366211
448.290008544922
446.156997680664
Unemployment
0.149999998509884
0.21399999409914
0.222000002861023
0.163000002503395
0.479000002145767
0.026999999769032
0.219999998807907
0.403999999165535
65+
Employment
72.826000213623
70.099000453949
71.128999710083
74.6909987926483
78.4470012187958
80.6800003051758
77.5700001716614
75.0939993858337
Labour Force
73.0499992370606
70.4679999351501
71.414999961853
74.9359996318817
79.0849997997284
81.0030002593994
77.9599995613098
75.735999584198
Population
1 415.32402038574
1 418.79000854492
1 445.04100036621
1 474.38398742676
1 503.79501342773
1 525.74098205566
1 545.90998840332
1 564.61099243164
Unemployment
0.223999999463558
0.369999993592501
0.287000000476837
0.244000002741814
0.639000007882714
0.322999996133149
0.379999995231628
0.641000002622604
70 to 74
Employment
20.2559995651245
21.16100025177
23.1829996109009
24.8589992523193
20.4530000686646
25.7809991836548
22.2700004577637
19.2450003623962
Labour Force
20.3299999237061
21.3170003890991
23.2469997406006
24.9399995803833
20.6120004653931
26.077000617981
22.4300003051758
19.481999874115
Population
353.379013061523
388.735000610352
416.089996337891
431.148986816406
433.309005737305
406.782989501953
373.610000610352
368.869003295898
Unemployment
0.074000000953674
0.155999999493361
0.064999997615814
0.081000000238419
0.160000005736947
0.295999996364117
0.159999996423721
0.237000003457069
75+
Employment
13.0609998703003
12.5289998054504
13.0869998931885
12.8039996623993
15.1800000667572
15.1300001144409
16.5499997138977
15.5249996185303
Labour Force
13.0609998703003
12.5289998054504
13.0869998931885
12.8039996623993
15.1800000667572
15.1300001144409
16.5499997138977
15.5249996185303
Population
618.63200378418
622.343017578125
626.233001708984
631.252990722656
652.261016845703
691.0419921875
724.009979248047
749.584991455078
Unemployment
0
0
0
0
0
0
0
0
Total
Employment
4 016.78597259522
4 052.55099248886
4 084.59802055359
4 104.8329513073
4 112.78401446342
4 148.38703155518
4 220.32995653152
4 260.5209479332
Labour Force
4 220.19802856445
4 246.34503698349
4 293.47403240204
4 336.15600848198
4 357.67002940178
4 400.19300270081
4 490.38996553421
4 508.4430270195
Population
6 987.54594421387
7 020.00498962402
7 065.96499633789
7 117.7689666748
7 179.72999572754
7 246.376953125
7 336.34002685547
7 364.4709777832
Unemployment
203.414000324905
193.793000597507
208.88100142777
231.324003323913
244.88699910976
251.807998579927
270.019998013973
247.915998995304
20 to 64
Employment
3 762.0129737854
3 802.39499282837
3 835.10302352905
3 864.56295013428
3 875.67001342773
3 918.09503173828
3 997.69995498657
4 048.35994720459
Labour Force
3 942.37803268433
3 974.14904022217
4 022.66003036499
4 073.22801208496
4 099.57803344727
4 150.18299865723
4 243.60996627808
4 276.04502487183
Population
5 090.09593200684
5 127.25997924805
5 152.04899597168
5 182.95198059082
5 225.23098754883
5 276.37797546387
5 344.10003662109
5 369.06398010254
Unemployment
180.367000371218
171.75300052762
187.561001434922
208.667003214359
223.907999902964
232.089999079704
245.87999778986
227.678998321295
Belgium
15 to 19
Employment
37.9935741424561
43.6453723907471
38.0726013183594
30.5894155502319
31.010440826416
30.9960203170776
33.0246448516846
37.4799613952637
Labour Force
58.531660079956
61.093957901001
53.6129608154297
46.3534317016602
46.7292861938477
44.4850559234619
43.3254985809326
48.7666854858398
Population
647.0244140625
639.977935791016
633.57568359375
628.793212890625
626.496154785156
628.692230224609
626.730041503906
625.014739990234
Unemployment
20.5380849838257
17.4485850334167
15.5403575897217
15.7640151977539
15.7188453674316
13.4890356063843
10.3008549213409
11.2867250442505
15 to 24
Employment
331.772275924683
343.729021072388
335.005554199219
313.390364646912
306.140064239502
307.621508598328
297.144683837891
293.069198608398
Labour Force
427.535459518433
422.964029312134
417.453582763672
410.745658874512
398.77677154541
395.053110122681
372.003723144531
362.938659667969
Population
1 315.0998840332
1 322.49508666992
1 326.13385009766
1 325.47091674805
1 320.67608642578
1 316.7380065918
1 307.193359375
1 292.46856689453
Unemployment
95.7631788253784
79.2350058555603
82.4480266571045
97.3553009033203
92.6366920471191
87.4315900802612
74.8590393066406
69.8694667816162
15 to 64
Employment
4 450.59016609192
4 470.4572467804
4 479.03539657593
4 484.53978252411
4 497.34135055542
4 499.2942533493
4 540.56713867188
4 587.24926757812
Labour Force
4 856.12823295593
4 816.861120224
4 847.42337417603
4 900.89219284058
4 920.38069152832
4 920.68474006653
4 929.396484375
4 940.34838867188
Population
7 176.83569335938
7 219.60171508789
7 241.95571899414
7 257.07470703125
7 265.54522705078
7 280.7809753418
7 289.47631835938
7 265.759765625
Unemployment
405.538063645363
346.403786301613
368.387966632843
416.352404594421
423.039336204529
421.390480518341
388.829376220703
353.098999023438
20 to 24
Employment
293.778701782227
300.083648681641
296.932952880859
282.80094909668
275.129623413086
276.62548828125
264.120040893555
255.589241027832
Labour Force
369.003799438477
361.870071411133
363.840621948242
364.392227172852
352.047485351562
350.568054199219
326.345809936523
314.171966552734
Population
668.075469970703
682.517150878906
692.558166503906
696.677703857422
694.179931640625
688.045776367188
678.130920410156
667.453826904297
Unemployment
75.2250938415527
61.7864208221436
66.9076690673828
81.5912857055664
76.9178466796875
73.942554473877
62.2257537841797
58.5827407836914
25 to 29
Employment
535.740295410156
532.119186401367
527.494400024414
525.834777832031
535.268096923828
533.318054199219
545.742614746094
550.109710693359
Labour Force
605.975341796875
590.639617919922
593.086212158203
594.446472167969
607.591888427734
601.88916015625
611.486541748047
611.69140625
Population
691.629302978516
692.392028808594
694.876495361328
700.656005859375
706.913879394531
717.493316650391
728.205047607422
732.767669677734
Unemployment
70.2350273132324
58.5204448699951
65.5918197631836
68.6116886138916
72.3238258361816
68.5711116790772
65.7439155578613
61.5816822052002
25 to 34
Employment
1 114.92877197266
1 113.35481262207
1 116.22370910645
1 113.58776855469
1 121.94421386719
1 108.40631103516
1 120.59399414062
1 124.46612548828
Labour Force
1 235.87973022461
1 219.28753662109
1 233.18411254883
1 234.66403198242
1 249.58966064453
1 234.53308105469
1 241.13619995117
1 230.47021484375
Population
1 397.64764404297
1 412.62890625
1 424.17343139648
1 432.54370117188
1 437.59301757812
1 444.57385253906
1 450.91403198242
1 452.34158325195
Unemployment
120.950952529907
105.932706832886
116.960418701172
121.076265335083
127.645467758179
126.126796722412
120.542205810547
106.00408744812
25 to 54
Employment
3 619.09107971191
3 600.60935974121
3 602.97554016113
3 593.19082641602
3 592.09515380859
3 564.08380126953
3 585.85729980469
3 589.90710449219
Labour Force
3 904.60095214844
3 845.71136474609
3 863.46676635742
3 879.23956298828
3 888.51763916016
3 860.70010375977
3 860.353515625
3 829.19689941406
Population
4 523.34332275391
4 537.84027099609
4 545.81024169922
4 546.25588989258
4 540.20645141602
4 538.3508605957
4 534.509765625
4 513.75634765625
Unemployment
285.509880065918
245.101915359497
260.491209983826
286.048718452454
296.422501564026
296.616299629211
274.496200561523
239.28987121582
25 to 64
Employment
4 118.81789016724
4 126.72822570801
4 144.02984237671
4 171.1494178772
4 191.20128631592
4 191.67274475098
4 243.42230224609
4 294.18026733398
Labour Force
4 428.5927734375
4 393.89709091186
4 429.96979141235
4 490.14653396606
4 521.60391998291
4 525.63162994385
4 557.39266967773
4 577.40969848633
Population
5 861.73580932617
5 897.10662841797
5 915.82186889648
5 931.6037902832
5 944.869140625
5 964.04296875
5 982.28295898438
5 973.29107666016
Unemployment
309.774884819984
267.168780446053
285.939939975738
318.997103691101
330.40264415741
333.95889043808
313.970361709595
283.229522705078
30 to 34
Employment
579.1884765625
581.235626220703
588.729309082031
587.752990722656
586.676116943359
575.088256835938
574.851379394531
574.356414794922
Labour Force
629.904388427734
628.647918701172
640.097900390625
640.217559814453
641.997772216797
632.643920898438
629.649658203125
618.77880859375
Population
706.018341064453
720.236877441406
729.296936035156
731.8876953125
730.679138183594
727.080535888672
722.708984375
719.573913574219
Unemployment
50.7159252166748
47.4122619628906
51.3685989379883
52.4645767211914
55.3216419219971
57.555685043335
54.7982902526856
44.4224052429199
35 to 39
Employment
616.951568603516
601.428100585938
589.918609619141
585.273864746094
584.875122070312
592.417816162109
603.470397949219
610.238494873047
Labour Force
664.759002685547
638.217071533203
631.328460693359
635.141906738281
633.014831542969
638.254302978516
644.459655761719
646.683013916016
Population
741.982727050781
729.663330078125
721.835021972656
718.282470703125
720.980773925781
729.952392578125
739.232788085938
743.077789306641
Unemployment
47.8074436187744
36.7889652252197
41.4098625183106
49.8680534362793
48.1397190093994
45.8364772796631
40.9892635345459
36.4445610046387
35 to 44
Employment
1 269.25323486328
1 245.04913330078
1 230.18118286133
1 220.78741455078
1 209.80752563477
1 202.74627685547
1 210.56127929688
1 211.81622314453
Labour Force
1 359.05426025391
1 321.05163574219
1 310.58950805664
1 314.08203125
1 306.04528808594
1 294.64306640625
1 291.6471862793
1 280.57135009766
Population
1 528.33215332031
1 514.31042480469
1 504.27020263672
1 496.24713134766
1 489.73712158203
1 485.81497192383
1 479.56042480469
1 470.69134521484
Unemployment
89.8010406494141
76.0024604797363
80.4083213806152
93.2946243286133
96.2377738952637
91.8967800140381
81.0859050750732
68.7551965713501
40 to 44
Employment
652.301666259766
643.621032714844
640.262573242188
635.513549804688
624.932403564453
610.328460693359
607.090881347656
601.577728271484
Labour Force
694.295257568359
682.834564208984
679.261047363281
678.940124511719
673.030456542969
656.388763427734
647.187530517578
633.888336181641
Population
786.349426269531
784.647094726562
782.435180664062
777.964660644531
768.75634765625
755.862579345703
740.32763671875
727.613555908203
Unemployment
41.9935970306396
39.2134952545166
38.9984588623047
43.426570892334
48.0980548858643
46.060302734375
40.0966415405273
32.3106355667114
45 to 49
Employment
658.774810791016
661.079772949219
663.202331542969
655.088073730469
647.227569580078
635.407958984375
629.956481933594
631.214569091797
Labour Force
697.049621582031
693.639953613281
697.669647216797
694.565277099609
683.773864746094
674.153381347656
667.440979003906
663.3623046875
Population
823.218658447266
825.623565673828
821.917205810547
813.489868164062
801.241760253906
790.752807617188
786.257751464844
780.861267089844
Unemployment
38.274829864502
32.5601692199707
34.4672975540161
39.4771862030029
36.5462694168091
38.745397567749
37.4844722747803
32.1477270126343
45 to 54
Employment
1 234.90907287598
1 242.20541381836
1 256.57064819336
1 258.81564331055
1 260.34341430664
1 252.93121337891
1 254.70199584961
1 253.6247253418
Labour Force
1 309.66696166992
1 305.37219238281
1 319.69314575195
1 330.49349975586
1 332.88269042969
1 331.52395629883
1 327.57012939453
1 318.15533447266
Population
1 597.36352539062
1 610.90093994141
1 617.36660766602
1 617.46505737305
1 612.87631225586
1 607.96203613281
1 604.03518676758
1 590.72344970703
Unemployment
74.7578868865967
63.166748046875
63.1224699020386
71.6778287887573
72.5392599105835
78.5927228927612
72.8680801391602
64.5305948257446
50 to 54
Employment
576.134262084961
581.125640869141
593.368316650391
603.727569580078
613.115844726562
617.523254394531
624.745513916016
622.41015625
Labour Force
612.617340087891
611.732238769531
622.023498535156
635.92822265625
649.108825683594
657.370574951172
660.129150390625
654.793029785156
Population
774.144866943359
785.277374267578
795.449401855469
803.975189208984
811.634552001953
817.209228515625
817.777435302734
809.862182617188
Unemployment
36.4830570220947
30.6065788269043
28.6551723480225
32.2006425857544
35.9929904937744
39.8473253250122
35.3836078643799
32.3828678131104
55 to 59
Employment
369.703430175781
390.636688232422
404.464385986328
428.861892700195
443.343658447266
467.568939208984
485.319107055664
513.373870849609
Labour Force
388.801452636719
408.807266235352
424.144882202148
455.704315185547
471.307540893555
498.066619873047
517.843048095703
547.427856445312
Population
695.735717773438
709.241943359375
720.465393066406
731.855102539062
745.989715576172
757.522186279297
767.492706298828
773.3369140625
Unemployment
19.098014831543
18.1705851554871
19.6805000305176
26.8424253463745
27.963870048523
30.4976806640625
32.5239324569702
34.053973197937
55 to 64
Employment
499.726810455322
526.118865966797
541.054302215576
577.958591461182
599.106132507324
627.588943481445
657.565002441406
704.273162841797
Labour Force
523.991821289062
548.185726165772
566.503025054932
610.906970977783
633.086280822754
664.931526184082
697.039154052734
748.212799072266
Population
1 338.39248657227
1 359.26635742188
1 370.01162719727
1 385.34790039062
1 404.66268920898
1 425.6921081543
1 447.77319335938
1 459.53472900391
Unemployment
24.2650047540665
22.0668650865555
25.4487299919128
32.9483852386475
33.9801425933838
37.3425908088684
39.4741611480713
43.9396514892578
60 to 64
Employment
130.023380279541
135.482177734375
136.589916229248
149.096698760986
155.762474060059
160.020004272461
172.245895385742
190.899261474609
Labour Force
135.190368652344
139.37845993042
142.358142852783
155.202655792236
161.778739929199
166.864906311035
172.245895385742
200.784942626953
Population
642.656768798828
650.0244140625
649.546234130859
653.492797851562
658.672973632812
668.169921875
673.330291748047
686.197814941406
Unemployment
5.1669899225235
3.89627993106842
5.76822996139526
6.10595989227295
6.01627254486084
6.84491014480591
0
9.88567996025086
65 to 69
Employment
19.442910194397
19.4722547531128
25.5930194854736
24.1683921813965
27.6825666427612
29.5492992401123
28.5561275482178
30.3861684799194
Labour Force
19.7862801551819
19.7661123275757
26.0566759109497
24.5293846130371
27.8763084411621
29.8240461349487
28.5561275482178
30.3861684799194
Population
471.933319091797
502.406768798828
541.003875732422
568.000183105469
586.959686279297
603.632598876953
609.565002441406
603.483276367188
Unemployment
0.343369998037815
0.293857499957085
0.4636549949646
0.36099249869585
0.193740002810955
0.274747494608164
0
0
65+
Employment
38.1119823455811
38.8157243728638
44.8789747953415
45.7601246833801
46.2038444280624
52.3263664245606
46.1228647232056
50.5370035171509
Labour Force
38.455352306366
39.1095819473267
45.5005983114243
46.2171745300293
46.4745911359787
52.7840533256531
46.1228647232056
50.746693611145
Population
1 875.49746704102
1 908.40065002441
1 946.79377746582
1 979.67247009277
2 017.25909423828
2 048.64859008789
2 079.01379394531
2 005.45666503906
Unemployment
0.343369998037815
0.293857499957085
0.621622487902641
0.457049995660782
0.270745001733303
0.457687500864267
0
0.209692493081093
70 to 74
Employment
8.2880072593689
10.1837823390961
8.63019275665283
9.88573265075684
10.1078901290894
11.0534996986389
6.82618761062622
11.3663148880005
Labour Force
8.2880072593689
10.1837823390961
8.78815984725952
9.98179006576538
10.1848950386047
11.236439704895
6.82618761062622
11.3663148880005
Population
451.928863525391
440.270492553711
428.024978637695
422.363052368164
424.61328125
432.614593505859
458.182495117188
489.118026733398
Unemployment
0
0
0.157967492938042
0.096057496964932
0.077004998922348
0.182940006256104
0
0
75+
Employment
10.3810648918152
9.15968728065491
10.655762553215
11.7059998512268
8.41338765621185
11.7235674858093
..
..
Labour Force
10.3810648918152
9.15968728065491
10.655762553215
11.7059998512268
8.41338765621185
11.7235674858093
..
..
Population
951.635284423828
965.723388671875
977.764923095703
989.309234619141
1 005.68612670898
1 012.40139770508
..
..
Unemployment
0
0
0
0
0
0
..
..
Total
Employment
4 488.7021484375
4 509.27297115326
4 523.91437137127
4 530.29990720749
4 543.54519498348
4 551.62061977386
4 586.68969726562
4 637.78637695312
Labour Force
4 894.5835852623
4 855.97070217133
4 892.92397248745
4 947.10936737061
4 966.8552826643
4 973.46879339218
4 976.318359375
4 991.49267578125
Population
9 052.33316040039
9 128.0023651123
9 188.74949645996
9 236.74717712402
9 282.80432128906
9 329.42956542969
9 369.2890625
9 271.6142578125
Unemployment
405.881433643401
346.69764380157
369.009589120746
416.809454590082
423.310081206262
421.848168019205
389.628662109375
353.706298828125
75 to 79+
Employment
..
..
..
..
..
..
5.67145264148712
7.91725969314575
Labour Force
..
..
..
..
..
..
5.67145264148712
7.91725969314575
Population
..
..
..
..
..
..
702.93408203125
642.523284912109
Unemployment
..
..
..
..
..
..
0
0
80+
Employment
..
..
..
..
..
..
0
0
Labour Force
..
..
..
..
..
..
0
0
Population
..
..
..
..
..
..
303.263076782227
269.255027770996
Unemployment
..
..
..
..
..
..
0
0
20 to 64
Employment
4 412.59659194946
4 426.81187438965
4 440.96279525757
4 453.95036697388
4 466.330909729
4 468.29823303223
4 507.54234313965
4 549.76950836182
Labour Force
4 797.59657287598
4 755.767162323
4 793.8104133606
4 854.53876113892
4 873.65140533447
4 876.19968414307
4 883.73847961426
4 891.58166503906
Population
6 529.81127929688
6 579.62377929688
6 608.38003540039
6 628.28149414062
6 639.04907226562
6 652.08874511719
6 660.41387939453
6 640.74490356445
Unemployment
384.999978661537
328.955201268196
352.847609043121
400.588389396668
407.320490837097
407.901444911957
376.196115493774
341.81226348877
Canada
15 to 19
Employment
904.100006103516
899.899993896484
856.800018310547
849.600006103516
843.400024414062
831.100006103516
806.199981689453
824.600006103516
Labour Force
1 130.59997558594
1 117.59997558594
1 072.29998779297
1 054.79998779297
1 034.60000610352
1 015.90002441406
980.699981689453
980
Population
2 191.5
2 178.90002441406
2 154.09997558594
2 119.29992675781
2 076.00006103516
2 034.29998779297
2 000.40002441406
1 981.09997558594
Unemployment
226.400001525879
217.600006103516
215.5
205.200004577637
191.100006103516
184.799995422363
174.400001525879
155.300003051758
15 to 24
Employment
2 438.30001831055
2 469.49996948242
2 440.30001831055
2 476.80001831055
2 485.50006103516
2 471.60000610352
2 429.09994506836
2 458.30001831055
Labour Force
2 865.79992675781
2 880.49993896484
2 852.19995117188
2 871.09997558594
2 872.60000610352
2 847.20001220703
2 795.39999389648
2 781.79998779297
Population
4 443.60009765625
4 464.70007324219
4 490.69995117188
4 498.09997558594
4 474.70001220703
4 432.39996337891
4 386.29992675781
4 352.29992675781
Unemployment
427.400001525879
410.900009155273
411.799995422363
394.400001525879
387
375.599990844727
366.300003051758
323.300003051758
15 to 64
Employment
16 477.3999633789
16 695.3001403809
16 857.9001159668
17 057.4000854492
17 119.4001159668
17 240.1998901367
17 332.9997253418
17 618.7999572754
Labour Force
17 939.0999145508
18 067.3997497559
18 201.6999511719
18 375.1999816895
18 412.400177002
18 538.0999755859
18 657.3001403809
18 822.4997558594
Population
23 055.9002685547
23 237.1001586914
23 396.7999267578
23 548.2999267578
23 678.3001098633
23 776.6000366211
23 885.7999267578
23 990.5999755859
Unemployment
1 461.70000839233
1 372.10000801086
1 343.79999160767
1 317.70001220703
1 293.10000228882
1 297.49999809265
1 324.60000610352
1 203.4999961853
20 to 24
Employment
1 534.20001220703
1 569.59997558594
1 583.5
1 627.20001220703
1 642.10003662109
1 640.5
1 622.89996337891
1 633.70001220703
Labour Force
1 735.19995117188
1 762.89996337891
1 779.89996337891
1 816.29998779297
1 838
1 831.29998779297
1 814.70001220703
1 801.79998779297
Population
2 252.10009765625
2 285.80004882812
2 336.59997558594
2 378.80004882812
2 398.69995117188
2 398.09997558594
2 385.89990234375
2 371.19995117188
Unemployment
201
193.300003051758
196.299995422363
189.199996948242
195.899993896484
190.799995422363
191.900001525879
168
25 to 29
Employment
1 811.89996337891
1 806.20001220703
1 846.5
1 837.29998779297
1 857.09997558594
1 886.09997558594
1 933.89996337891
1 983.90002441406
Labour Force
1 976.70001220703
1 962.09997558594
1 995.60003662109
1 986.79998779297
2 009.60003662109
2 037.40002441406
2 089.90002441406
2 135.59997558594
Population
2 294.19995117188
2 309
2 328.40002441406
2 342.59997558594
2 366.89990234375
2 398.40002441406
2 439.69995117188
2 486.5
Unemployment
164.900001525879
156
149.099998474121
149.5
152.5
151.200000762939
156
151.699996948242
25 to 34
Employment
3 595.69995117188
3 654.70001220703
3 731.70001220703
3 777.90002441406
3 820.5
3 877.19995117188
3 947.09991455078
4 044.5
Labour Force
3 899.90002441406
3 931.19995117188
4 010.90008544922
4 053.99993896484
4 096.70001220703
4 149.70007324219
4 236.20001220703
4 311.89990234375
Population
4 523
4 581.80004882812
4 647.70007324219
4 714.20007324219
4 784.39990234375
4 844.20007324219
4 909.09997558594
4 970.5
Unemployment
304.300003051758
276.599998474121
279.299995422363
276.000003814697
276.400001525879
272.400001525879
289.200000762939
267.399993896484
25 to 54
Employment
11 602.2999267578
11 698.2001342773
11 788.3001708984
11 845.7000732422
11 826.200012207
11 872.2998657227
11 902.1998291016
12 068.3999633789
Labour Force
12 464.5999755859
12 479.8998413086
12 546.3000488281
12 584.3999633789
12 547.9001464844
12 607.0999755859
12 656.4001464844
12 759.0997314453
Population
14 415.6000976562
14 444.2000732422
14 480.5
14 515.6000976562
14 557.4000244141
14 586.0001220703
14 629.1999511719
14 666.7000732422
Data extracted on 04 Mar 2021 09:04 UTC (GMT) from
UKDS.Stat
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