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World Bank
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United Nations
International Energy Agency
Human Rights Atlas
OECD
Banking Statistics
Classification of Bank Assets and Liabilities
Income Statement and Balance Sheet
Structure of the Financial System
Economic Outlook
Economic Outlook No 101 - June 2017
Economic Outlook No 100 November 2016
Economic Outlook No 99 - June 2016
Economic Outlook - Previous Releases
Economic Outlook No 60 - December 1996
Economic Outlook No 61 - June 1997
Economic Outlook No 62 - December 1997
Economic Outlook No 63 - June 1998
Economic Outlook No 64 - December 1998
Economic Outlook No 65 - June 1999
Economic Outlook No 66 - December 1999
Economic Outlook No 67 - June 2000
Economic Outlook No 68 - December 2000
Economic Outlook No 69 - June 2001
Economic Outlook No 70 - December 2001
Economic Outlook No 71 - June 2002
Economic Outlook No 72 - December 2002
Economic Outlook No 73 - June 2003
Economic Outlook No 74 - December 2003
Economic Outlook No 75 - June 2004
Economic Outlook No 76 - December 2004
Economic Outlook No 77 - June 2005
Economic Outlook No 78 - December 2005
Economic Outlook No 79 - June 2006
Economic Outlook No 80 - December 2006
Economic Outlook No 81 - June 2007
Economic Outlook No 82 - December 2007
Economic Outlook No 83 - June 2008
Economic Outlook No 84 - December 2008
Economic Outlook No 85 - June 2009
Economic Outlook No 86 - December 2009
Economic Outlook No 87 - June 2010
Economic Outlook No 88 - December 2010 - OLIS version
Economic Outlook No 89 - June 2011 - OLIS version
Economic Outlook No 90 - December 2011 - OLIS version
Economic Outlook No 91 - June 2012 - Long-term baseline projections
Economic Outlook No 91 - June 2012 - OLIS version
Economic Outlook No 92 - December 2012 - OLIS version
Economic Outlook No 93 - June 2013 - Long-term baseline projections
Economic Outlook No 93 - June 2013 - OLIS version
Economic Outlook No 94 - November 2013 - OLIS version
Economic Outlook No 95 - May 2014 - Long-term baseline projections
Economic Outlook No 95 - May 2014 - OLIS version
Economic Outlook No 96 - November 2014 - Annual Projections
Economic Outlook No 97 - June 2015 - OLIS version
Economic Outlook No 98 - November 2015
Education and Training
Archive database - ISCED 1997 data 2000-2011
Educational Personnel
Expenditure by funding source and transaction type
Expenditure by nature and resource category
Foreign / international students enrolled
Graduates by age
Graduates by field of education
New entrants by sex and age
Students aligned to finance and personnel data
Students enrolled by age
Students enrolled by type of institution
Total population by sex and age
Education and Skills
Average class size
Educational expenditure by nature
Educational expenditure by source and destination
Educational personnel by age
Educational personnel by institution
Enrolment by age
Enrolment by field
Enrolment by type of institution
Enrolment data adjusted to financial year
Enrolment of international students by origin
Graduates by field
International graduates by origin
Management educational personnel and teacher aides
New entrants by age
New entrants by field
Number of graduates by age
Population data
Education at a Glance
Distribution of graduates and entrants by Field
Distribution of teachers by age and gender
Educational finance indicators
Enrolment rate by age
Graduation and entry rates
Profile of graduates and new entrants
Share of enrolment by gender, programme orientation and mode of study
Share of enrolment by type of institution
Share of international students enrolled by country of origin
Share of international students enrolled by field of education
Student-teacher ratio and average class size
Measuring Innovation in Education
Part 1 - Comparing innovation in education with other sectors
Part 2 - Innovation as change in classrooms and schools
Teaching and Learning International Survey - TALIS
TALIS Indicators 2013
Employment and Labour Market
Earnings
Average Annual Wages
Decile Ratios of Gross Earnings
Hourly Earnings (MEI)
Minimum Relative to Average Wages of Full-Time Workers
Minimum wages at current prices in NCU
Real Minimum Wages
Employment Protection Legislation
Strictness of Employment Protection - Collective Dismissals (additional restrictions)
Strictness of Employment Protection - Individual and Collective Dismissals (regular contracts)
Strictness of Employment Protection - Individual and Collective dismissals (regular contracts)
Strictness of Employment Protection - Temporary Contracts
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
Employment by Activities and Status (ALFS)
Historical Population Data and Projections 1950-2060 (1950-55)
LFS by Sex and Age
LFS by Sex and Age - Indicators
LFS by Sex and Age - Composition
Population and Labour Force
Population and Vital Statistics
Labour Market Programmes
Public Expenditure and Participant Stocks on LMP
Labour Market Statistics
Average Duration of Unemployment
Discouraged Workers
Economic Short Time Workers
Employment by Job Tenure Intervals - Average Tenure
Employment by Job Tenure Intervals - Persons
Employment by Permanency of the Job
FTPT Employment Based on a Common Definition
FTPT Employment Based on National Definitions
Incidence of Discouraged Workers
Incidence of Economic Short Time Workers
Incidence of FTPT Employment - Common Definition
Incidence of FTPT Employment - National Definitions
Incidence of Involuntary Part Time Workers
Incidence of Permanent Employment
Incidence of Unemployment by Duration
Involuntary Part Time Workers
Unemployment by Duration
Trade Unions
Trade Union Density
Union Members and Employees
Environment Statistics
Air and Climate
Air Emission Accounts
Emissions of Air Pollutants
Greenhouse Gas Emissions
Biodiversity
Threatened Species
Expenditures and Revenues
Environmental Protection Expenditure and Revenues
Forest
Depletion and Growth of Forest Resources in terms of volume (thousand m3)
Green Growth
Green Growth Indicators
Land Resources
Land Use
Material Resources
Material Resources
Patents
Patents - International collaboration in technology development (bilateral)
Patents - International collaboration in technology development (rates)
Patents - Technology development
Patents - Technology diffusion
Policy Instruments
Instruments Used for Environmental Policy
Waste
Generation of Primary Waste by Sector (thousand tonnes)
Municipal waste, Generation and Treatment
Water
Freshwater Abstractions (million m3)
Freshwater Resources (long term annual average)
Generation and Discharge of Waste Water
Lake and River Quality
Waste Water Treatment (population connected)
Health Statistics
Demographic References
Economic References
Health Care Quality Indicators
Health Care Resources
Health Care Utilisation
Health expenditure since 2003
Health Status
Long-term care resources and utilisation
Non-Medical Determinants of Health
Pharmaceutical market
Social protection
Institutional Investors Statistics
Institutional Investors' Assets
Institutional Investors' Indicators
Insurance Statistics
Balance Sheet and Income
Business Written in the Reporting Country
Commissions in the Reporting Country
Destinations of Investments by Direct Insurance or Reinsurance Companies
General Insurance Statistics
Gross Claims Payments
Gross Operating Expenses
Insurance Business by Domestic and Foreign Risks
Insurance Business Written Abroad by Branches
Insurance Business Written in the Reporting Country
Insurance Indicators
International Development Statistics
Creditor Reporting System
Aid Activities
Detailed Aid Statistics
Aid Commitments to Countries and Regions
Aid Disbursements to Countries and Regions
Aid by Sector and Donor
Country Programmable Aid
Other Official Flows Disbursements
Private Flows
Total Flows by Donor
Total Official Development Financing
Total Official Flows
Total Receipts
Tying Status of Bilateral ODA
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 2014 (GID-DB)
Gender, Institutions and Development Database 2012 (GID-DB)
International Direct Investment Statistics
Flows by Industry
Flows by Partner Country
Positions by Industry
Positions by Partner Country
Series of BOP and IIP Aggregates
International Migration Statistics
International Migration Database
Employment rates by place of birth and educational attainment
NUP rates by place of birth and sex
Database on Immigrants in OECD Countries (Year around 2000)
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 - Trade in Services by Partner Country
EBOPS 2010 - Trade in services by partner country
TIS Extra Series
Main Economic Indicators
Main Economic Indicators
Main Science and Technology Indicators
Main Science and Technology Indicators
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 partner zones and countries
IV - TEC by number of partner countries
V - TEC by commodity groups
VI - TEC by type of trader
VII - TEC by ownership (domestic or foreign)
VIII - TEC by exports intensity
IX - TEC by activity sectors
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
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
Patent Statistics
International Co-operation in Patents
Patents by Regions
Patents by Technology
Pensions
Pensions at a Glance
Funded Pension Statistics
Funded Pensions Indicators
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
Breakdown of Gross Domestic Product Per Capita in its Components
Capital Services by Type of Asset
Growth in GDP Per Capita, Productivity and ULC
Labour Productivity Growth in the Total Economy
Labour Productivity Levels in the Total Economy
Level of GDP Per Capita and Productivity
Multi-Factor Productivity
Productivity and ULC by Main Economic Activity (ISIC Rev.4)
Productivity by Industry (ISIC Rev.3)
Regional Statistics
Metropolitan Areas
Regional Well-Being
Regional Demography
Regional Economy
Regional Innovation
Regional Labour
Regional Social and Environmental Indicators
Large Regions (discontinued)
Demographic Statistics
Innovation Indicators
Labour Statistics
Regional Accounts
Social Indicators
Small Regions (discontinued)
Demographic Statistics
Innovation Indicators
Regional Accounts
Regional Labour Market
Social and Welfare Statistics
Better Life Index
Better Life Index 2016
Better Life Index 2015
Better Life Index 2014
Better Life Index 2013
Social Expenditure
Social Expenditure - Aggregated data
Social Expenditure - Detailed data
Social Expenditure - Reference series
Child Well-Being (2009)
Income Distribution and Poverty
Structural Analysis (STAN) databases
Input Output Database
STAN Input-Output Imports content of Exports
STAN Input-Output Intermediate Import Ratio
STAN Input-Output Total, Domestic and Imports
STAN I-O Inverse Matrix (Total)
STAN I-O Inverse Matrix Coefficients (Domestic)
STAN Bilateral Trade Database by Industry and End-use category, 2012
STAN Database for Structural Analysis (ISIC Rev. 3, 2008)
STAN Database for Structural Analysis (ISIC Rev. 4)
STAN Indicators Rev. 3, 2011
STAN R&D expenditures in Industry (ISIC Rev. 4)
Tax Statistics
Revenue Statistics
Financing of social security benefits
Reference Series for Revenue Statistics
Revenue Statistics - Comparative tables
Social security contributions and payroll taxes paid by government
VAT and Customs duties - European Union
Revenue Statistics by Country
Australia
Austria
Belgium
Canada
Chile
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Israel
Italy
Japan
Korea
Luxembourg
Mexico
Netherlands
New Zealand
Norway
Poland
Portugal
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Turkey
United Kingdom
United States
Revenue Statistics, Latin America
Reference Series - Latin American Countries
Latin American Countries : Comparative tables
Revenue Statistics, Latin America by Country
Chile
Mexico
Argentina
Brazil
Colombia
Costa Rica
Dominican Republic
El Salvador
Guatemala
Peru
Uruguay
Venezuela
Fiscal Decentralisation
Intergovernmental Grants by Type
Intergovernmental Grants by Type - percentage of total grants revenue
Tax Autonomy
Taxes and Benefits
Out of work - Tax/Benefit
Taxing Wages
Country tables (current model)
Taxing Wages - Comparative tables
Telecommunications and Internet Statistics
Broadband Database
Telecom 2013
UKDS is a member of the SIS-CC
Tables
Consumer prices (International Financial Statistics line 64)
Life expectancy at birth
Measles Immunisation
Pharmaceutical exports
Charts
Access to H2O
Electricity production from nuclear sources (%) by "nuclear-weapon states" 1990-2014
Intentional Homicides per 100,000 People
Military expenditure (% of GDP)
Rural Population
Scatter plot of improved water source (%) and infant mortality for countries worldwide from 1990 onwards
Unemployment rate in G7 countries (International Financial Statistics line 67r)
Maps
Broadband subscriptions in ASEAN countries
External debt of South American countries
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Metropolitan Areas
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Variables
Demographic indicators
Total population of the metropolitan area (persons)
Population of the city area (persons)
Population, City, Youth (0-14)
Population, City, Working age (15-64)
Populaiton, City, Old (65more)
Population of the commuting zone area (persons)
Population, Commuting Zone, Youth (0-14)
Population, Commuting Zone, Working age (15-64)
Populaiton, Commuting Zone, Elder (65more)
Population, Total, Youth (0-14)
Population, Total, Working age (15-64)
Populaiton, Total, Old (65more)
Old-age-dependency ratio
Youth-dependency ratio
Population of the metropolitan area as a share of national value (%)
Youth population of the metropolitan area as share of national value (%)
Working age population of the metropolitan area as a share of national value (%)
Elderly population of the metropolitan area as a share of national value (%)
Youth population of the core area as a share of the total metropolitan area youth population (%)
Working age population of the core area as a share of the total metropolitan area working age population (%)
Elderly population of the core area as a share of the total metropolitan area elderly population (%)
Population density (persons per km2)
Population density of the city area (persons per km2)
Population density of the commuting zone (persons per km2)
Land cover indicators
Total land area (km2)
Total land area of the city (km2)
Total land area of the commuting zone (km2)
Metropolitan land share of national value (%)
City land share over Metropolitan land area (%)
Commuting zone land share over Metropolitan land area (%)
Urbanised area (km2)
Urbanised area share (%)
Green area per million people (square meters per million person)
Economic indicators
GDP (millions US$)
GDP of the metropolitan area as a share of national value (%)
GDP per capita (US$)
Labour productivity
Environmental indicators
CO2 emissions per capita (tonnes per inhabitant)
CO2 emissions per capita from energy industry (tonnes per inhabitant)
CO2 emissions per capita from transport (tonnes per inhabitant)
CO2 emissions of the metropolitan area as a share of national value (%)
CO2 energy emissions of the metropolitan area as a share of the national energy industry emissions (%)
CO2 transport emissions of the metropolitan area as a share of the national transport emissions from transport (%)
Estimated average exposure to air pollution (PM2.5) based on imagery data
Labour indicators
Labour force (persons)
Labour force of the metropolitan area as a share of national value (%)
Employment (persons)
Employment of the metropolitan area as a share of national value (%)
Employment as a share of the working age population (%)
Unemployment (persons)
Unemployment of the metropolitan area as a share of national value (%)
Unemployment as a share of the labour force (%)
Participation rate (%)
Innovation indicators
PCT patent applications (count)
PCT patent applications of the metropolitan area as % of national value
PCT patents applications per 10,000 inhabitants
Urban form
Polycentricity
Concentration of population in the core (%)
Sprawl index
Territorial organisation
Local governments (count)
Local governments in the core (count)
Territorial fragmentation
Average population size of local government
Time
2007
2008
2009
2010
2011
2012
2013
2014
Metropolitan areas
Australia
20 827 622
21 249 199
21 691 653
22 031 750
22 340 024
22 728 254
23 125 868
23 490 736
Australia
Adelaide
1 204 210
1 219 523
1 237 354
1 253 097
1 264 091
1 278 600
1 291 377
1 304 631
Brisbane
1 958 907
2 012 204
2 068 479
2 108 348
2 147 436
2 193 316
2 236 044
2 274 560
Gold Coast-Tweed Heads
479 818
494 599
509 133
519 630
528 766
540 527
551 123
560 266
Melbourne
3 841 760
3 931 438
4 031 787
4 105 857
4 169 366
4 252 458
4 344 673
4 440 328
Perth
1 628 467
1 682 860
1 739 342
1 781 132
1 833 567
1 904 858
1 972 849
2 021 203
Sydney
4 325 525
4 409 562
4 492 380
4 555 516
4 608 949
4 676 118
4 756 398
4 840 628
Austria
8 282 984
8 307 989
8 335 003
8 351 643
8 375 164
8 408 121
8 451 860
8 506 889
Austria
Graz
590 863
596 616
602 465
608 420
614 454
620 587
626 826
633 168
Linz
599 043
601 505
604 006
606 514
609 054
611 622
614 214
616 829
Vienna
2 604 039
2 630 118
2 656 523
2 683 251
2 710 331
2 737 753
2 765 519
2 793 631
Belgium
10 584 534
10 666 866
10 753 080
10 839 905
10 951 266
11 035 948
11 099 554
11 203 992
Belgium
Antwerp
1 033 248
1 040 008
1 046 834
1 053 725
1 060 675
1 067 688
1 074 765
1 081 904
Brussels
2 412 004
2 436 174
2 460 663
2 485 480
2 510 626
2 536 106
2 561 930
2 588 102
Ghent
564 966
568 747
572 560
576 408
580 281
584 187
588 127
592 100
Liege
716 642
719 881
723 142
726 431
729 740
733 071
736 425
739 798
Canada
32 887 928
33 245 773
33 628 571
34 005 274
34 342 780
34 752 128
35 154 279
35 540 419
Canada
Calgary
1 172 453
1 204 541
1 237 622
1 271 737
1 306 924
1 342 733
1 379 633
1 417 661
Edmonton
1 084 736
1 112 283
1 140 598
1 169 701
1 199 616
1 226 762
1 254 568
1 283 049
Hamilton
583 972
589 171
594 417
599 712
605 054
609 671
614 327
619 024
Montreal
4 005 713
4 059 235
4 113 887
4 169 715
4 226 756
4 281 493
4 337 384
4 394 467
Ottawa-Gatineau
1 310 503
1 335 334
1 360 675
1 386 544
1 412 938
1 434 229
1 455 874
1 477 881
Quebec
781 190
794 024
807 135
820 529
834 215
844 616
855 184
865 926
Toronto
6 073 725
6 185 425
6 300 343
6 418 623
6 540 422
6 671 162
6 806 682
6 947 229
Vancouver
2 180 223
2 223 279
2 267 363
2 312 497
2 358 711
2 398 214
2 438 512
2 479 623
Winnipeg
774 565
784 098
793 773
803 601
813 580
821 105
828 718
836 416
Chile
16 598 074
16 763 470
16 928 873
17 094 275
17 248 450
17 402 630
17 556 815
17 819 054
Chile
Concepción
867 843
873 841
880 061
886 511
893 196
900 128
907 314
914 764
Santiago
6 204 376
6 265 340
6 328 466
6 393 831
6 461 513
6 531 598
6 604 166
6 679 313
Valparaíso
917 071
929 305
941 725
954 333
967 136
980 136
993 334
1 006 737
Czech Republic
10 287 189
10 381 130
10 467 542
10 506 813
10 532 770
10 505 445
10 516 125
10 512 419
Czech Republic
Brno
634 019
635 639
637 307
639 026
640 794
642 615
644 491
646 421
Ostrava
566 867
566 029
565 196
564 380
563 576
562 785
562 008
561 242
Prague
1 776 272
1 793 588
1 811 420
1 829 843
1 848 898
1 868 631
1 889 112
1 910 396
Denmark
5 447 084
5 475 791
5 511 451
5 534 738
5 560 628
5 580 516
5 602 628
5 627 235
Denmark
Copenhagen
1 964 274
1 972 725
1 981 254
1 989 871
1 998 568
2 007 352
2 016 218
2 025 171
Estonia
1 342 920
1 338 440
1 335 740
1 333 290
1 329 660
1 325 217
1 320 174
1 315 819
Estonia
Tallinn
530 954
530 889
530 824
530 760
530 698
530 640
530 584
530 530
Finland
5 276 955
5 300 484
5 326 314
5 351 427
5 375 276
5 401 267
5 426 674
5 451 270
Finland
Helsinki
1 424 933
1 435 086
1 445 332
1 455 677
1 466 120
1 476 662
1 487 305
1 498 050
France
61 795 238
62 134 866
62 465 709
62 765 235
63 070 344
63 378 545
63 659 608
63 920 247
France
Bordeaux
1 084 477
1 096 729
1 109 235
1 121 983
1 135 001
1 148 289
1 161 854
1 175 699
Grenoble
639 539
642 731
645 980
649 285
652 648
656 075
659 565
663 114
Lille
1 339 066
1 342 383
1 345 765
1 349 194
1 352 679
1 356 218
1 359 815
1 363 465
Lyon
1 847 798
1 863 301
1 879 019
1 894 945
1 911 082
1 927 448
1 944 030
1 960 847
Marseille
1 685 535
1 697 613
1 709 842
1 722 236
1 734 789
1 747 515
1 760 419
1 773 503
Montpellier
609 964
618 454
627 100
635 897
644 857
653 986
663 278
672 754
Nantes
841 951
851 118
860 480
870 046
879 826
889 824
900 041
910 493
Nice
830 965
835 633
840 368
845 186
850 073
855 039
860 079
865 195
Paris
11 449 898
11 529 670
11 610 779
11 693 218
11 777 101
11 862 466
11 949 377
12 037 889
Rennes
643 364
652 633
662 148
671 929
681 969
692 289
702 887
713 771
Rouen
688 951
691 978
695 125
698 385
701 750
705 240
708 858
712 615
Saint-Étienne
517 621
518 589
519 599
520 667
521 792
522 965
524 199
525 488
Strasbourg
745 913
750 126
754 399
758 724
763 106
767 542
772 034
776 584
Toulon
538 044
541 211
544 434
547 703
551 026
554 401
557 833
561 322
Toulouse
1 154 832
1 175 096
1 195 916
1 217 316
1 239 323
1 261 946
1 285 218
1 309 149
Germany
82 314 906
82 217 837
82 002 356
81 802 257
81 751 602
81 843 743
82 020 578
80 767 463
Germany
Aachen
582 521
581 472
580 457
579 473
578 522
577 605
576 724
575 876
Augsburg
592 080
594 054
596 050
598 063
600 094
602 142
604 205
606 286
Berlin
4 358 955
4 363 940
4 369 193
4 374 708
4 380 489
4 386 551
4 392 902
4 399 542
Bochum
664 338
658 177
652 076
646 036
640 056
634 134
628 270
622 463
Bonn
742 845
743 893
744 948
746 013
747 087
748 172
749 266
750 370
Bremen
1 024 488
1 024 841
1 025 202
1 025 580
1 025 969
1 026 367
1 026 775
1 027 192
Cologne
1 886 500
1 892 004
1 897 551
1 903 154
1 908 807
1 914 512
1 920 267
1 926 073
Dortmund
837 457
832 638
827 866
823 139
818 458
813 821
809 229
804 678
Dresden
829 757
832 097
834 514
836 995
839 541
842 159
844 846
847 600
Duisburg
823 580
819 201
814 851
810 525
806 226
801 951
797 701
793 477
Düsseldorf
1 428 692
1 428 489
1 428 314
1 428 162
1 428 038
1 427 941
1 427 869
1 427 823
Essen
769 031
765 005
761 002
757 019
753 057
749 117
745 199
741 301
Frankfurt
2 506 692
2 510 347
2 514 050
2 517 805
2 521 606
2 525 458
2 529 361
2 533 311
Freiburg im Breisgau
520 992
523 171
525 371
527 581
529 806
532 048
534 307
536 578
Hamburg
2 967 811
2 973 464
2 979 185
2 984 966
2 990 821
2 996 750
3 002 754
3 008 841
Hanover
1 226 909
1 225 512
1 224 130
1 222 773
1 221 430
1 220 106
1 218 801
1 217 511
Karlsruhe
680 987
682 950
684 939
686 938
688 954
690 984
693 033
695 098
Leipzig
843 805
841 674
839 602
837 610
835 687
833 828
832 038
830 318
Mannheim
1 249 260
1 246 471
1 243 702
1 240 964
1 238 254
1 235 571
1 232 911
1 230 276
Munich
2 758 144
2 786 626
2 815 487
2 844 749
2 874 409
2 904 480
2 934 967
2 965 871
Münster
534 458
537 922
541 422
544 962
548 541
552 158
555 815
559 514
Nuremberg
1 165 328
1 165 861
1 166 411
1 166 976
1 167 553
1 168 145
1 168 746
1 169 367
Saarbrücken
602 909
598 133
593 414
588 734
584 101
579 516
574 975
570 479
Stuttgart
1 946 718
1 949 365
1 952 040
1 954 756
1 957 507
1 960 286
1 963 096
1 965 942
Greece
11 171 740
11 213 785
11 260 402
11 305 118
11 309 885
11 123 034
11 062 508
10 903 704
Greece
Athens
3 593 037
3 582 479
3 572 669
3 563 607
3 555 307
3 547 773
3 541 021
3 535 055
Thessalonica
950 148
952 258
954 853
957 946
961 537
965 643
970 273
975 439
Hungary
10 066 158
10 045 401
10 030 975
10 014 324
9 985 722
9 931 925
9 908 798
9 877 365
Hungary
Budapest
2 825 177
2 831 957
2 839 049
2 846 464
2 854 222
2 862 326
2 870 783
2 879 601
Ireland
4 340 118
4 457 765
4 521 322
4 549 428
4 570 881
4 582 707
4 591 087
4 605 501
Ireland
Dublin
1 545 302
1 577 672
1 612 558
1 650 202
1 690 947
1 735 182
1 783 388
1 836 119
Italy
58 223 744
58 652 875
59 000 586
59 190 143
59 364 690
59 394 207
59 685 227
60 782 668
Italy
Bari
573 644
575 049
576 467
577 899
579 344
580 804
582 277
583 764
Bologna
732 081
736 403
740 792
745 255
749 784
754 387
759 061
763 811
Catania
619 065
620 503
622 018
623 610
625 286
627 045
628 886
630 814
Florence
716 246
718 528
720 836
723 164
725 520
727 903
730 311
732 746
Genova
722 926
720 659
718 405
716 159
713 932
711 715
709 511
707 321
Milan
3 991 846
4 014 266
4 037 181
4 060 624
4 084 591
4 109 109
4 134 190
4 159 854
Naples
3 540 205
3 544 063
3 548 190
3 552 568
3 557 230
3 562 170
3 567 399
3 572 928
Palermo
933 636
934 310
935 073
935 921
936 867
937 903
939 032
940 259
Rome
3 909 737
3 941 844
3 974 623
4 008 095
4 042 286
4 077 212
4 112 897
4 149 364
Turin
1 728 493
1 734 766
1 741 146
1 747 614
1 754 188
1 760 857
1 767 632
1 774 507
Venice
539 587
540 352
541 145
541 969
542 822
543 705
544 621
545 570
Japan
127 771 000
127 689 000
127 513 000
128 054 000
127 797 000
127 518 000
127 297 000
127 083 000
Japan
Anjo
734 488
739 873
745 306
750 787
758 215
765 720
773 306
780 970
Fukuoka
2 472 542
2 489 357
2 506 401
2 523 685
2 542 398
2 561 337
2 580 507
2 599 911
Fukuyama
560 140
559 460
558 795
558 145
557 630
557 125
556 632
556 149
Hamamatsu
989 657
988 553
987 451
986 352
988 063
989 776
991 492
993 212
Himeji
714 222
713 873
713 539
713 218
713 090
712 971
712 864
712 767
Hiroshima
1 392 191
1 395 689
1 399 235
1 402 833
1 406 879
1 410 984
1 415 141
1 419 358
Kagoshima
701 713
701 848
701 986
702 127
702 551
702 977
703 406
703 839
Kanazawa
735 629
738 279
740 951
743 647
745 569
747 510
749 468
751 445
Kitakyushu
1 182 346
1 178 467
1 174 623
1 170 818
1 166 928
1 163 071
1 159 245
1 155 450
Kochi
498 297
496 137
493 999
491 875
490 815
489 765
488 724
487 693
Kofu
515 819
515 136
514 463
513 797
513 985
514 179
514 381
514 589
Kumamoto
963 114
966 481
969 906
973 384
976 929
980 524
984 169
987 866
Kurashiki
575 086
575 995
576 907
577 828
582 449
587 120
591 840
596 609
Maebashi
983 821
983 987
984 187
984 416
985 101
985 814
986 551
987 316
Matsuyama
642 745
642 774
642 806
642 841
643 561
644 284
645 010
645 739
Mito
586 260
587 575
588 901
590 245
591 095
591 951
592 813
593 682
Nagano
544 879
542 747
540 629
538 526
537 135
535 753
534 380
533 018
Nagasaki
522 718
520 603
518 501
516 411
514 294
512 195
510 114
508 050
Nagoya
6 344 423
6 364 462
6 384 756
6 405 306
6 428 623
6 452 190
6 476 009
6 500 074
Naha
1 126 044
1 132 545
1 139 106
1 145 731
1 153 089
1 160 506
1 167 980
1 175 512
Niigata
1 045 458
1 043 537
1 041 624
1 039 728
1 038 830
1 037 940
1 037 059
1 036 187
Numazu
531 479
530 836
530 209
529 593
529 567
529 553
529 550
529 559
Oita
544 692
546 534
548 392
550 265
551 842
553 432
555 033
556 647
Okayama
873 931
875 734
877 557
879 397
882 303
885 236
888 195
891 180
Osaka
17 193 890
17 211 139
17 229 151
17 247 940
17 270 651
17 294 189
17 318 575
17 343 816
Sapporo
2 167 634
2 173 198
2 178 858
2 184 613
2 194 316
2 204 146
2 214 107
2 224 201
Sendai
1 561 518
1 566 495
1 571 560
1 576 718
1 582 277
1 587 913
1 593 631
1 599 433
Shizuoka
728 746
731 561
734 445
737 397
735 988
734 596
733 221
731 863
Takamatsu
556 551
571 713
587 604
604 256
613 299
622 580
632 102
641 872
Tokushima
565 487
563 890
562 314
560 755
559 922
559 100
558 298
557 512
Tokyo
34 243 874
34 482 742
34 724 910
34 970 411
35 204 263
35 441 287
35 681 545
35 925 101
Toyama
543 613
543 461
543 313
543 168
543 302
543 440
543 583
543 730
Toyohashi
607 022
607 494
607 971
608 457
609 841
611 233
612 635
614 046
Utsunomiya
793 749
795 825
797 922
800 040
803 193
806 368
809 564
812 783
Wakayama
533 093
531 694
530 312
528 946
527 174
525 421
523 687
521 972
Yokkaichi
561 800
564 710
567 666
570 666
573 405
576 173
578 970
581 797
Korea
48 597 652
48 948 698
49 182 038
49 410 366
49 779 440
50 004 441
50 219 669
50 423 955
Korea
Busan
3 490 028
3 472 918
3 458 592
3 447 182
3 438 788
3 433 523
3 431 525
3 432 960
Changwon
771 591
764 727
758 186
751 964
746 064
740 482
735 215
730 267
Cheongju
707 493
717 200
727 869
739 558
752 330
766 253
781 409
797 873
Daegu
2 607 688
2 615 080
2 625 489
2 639 116
2 656 196
2 677 006
2 701 843
2 731 064
Daejeon
1 504 894
1 523 216
1 543 377
1 565 511
1 589 719
1 616 142
1 644 908
1 676 167
Gwangju
1 474 651
1 492 005
1 512 352
1 535 944
1 563 035
1 593 942
1 628 996
1 668 574
Jeonju
679 750
684 630
690 381
697 052
704 710
713 424
723 273
734 344
Pohang
508 400
509 181
510 460
512 246
514 557
517 410
520 817
524 804
Seoul Incheon
21 419 105
21 738 382
22 106 349
22 529 435
23 015 203
23 572 729
24 212 832
24 948 523
Ulsan
988 894
998 362
1 009 053
1 021 015
1 034 312
1 049 023
1 065 221
1 082 994
Mexico
106 789 730
108 603 640
110 452 350
112 336 538
115 682 867
117 053 751
118 395 053
119 713 211
Mexico
Acapulco de Juárez
762 640
771 643
780 753
789 971
799 297
808 733
818 281
827 942
Aguascalientes
880 598
903 451
926 976
951 197
976 138
1 001 824
1 028 282
1 055 539
Benito Juárez
574 371
601 960
630 873
661 176
692 934
726 217
761 099
797 657
Celaya
565 882
577 685
589 738
602 045
614 612
627 444
640 548
653 928
Centro
816 753
835 752
855 221
875 172
895 619
916 574
938 050
960 063
Chihuahua
778 451
795 318
812 575
830 231
848 298
866 787
885 710
905 079
Cuernavaca
826 638
842 719
859 199
876 083
893 390
911 130
929 316
947 963
Culiacán
821 364
833 605
846 029
858 638
871 435
884 423
897 604
910 982
Durango
551 554
561 607
571 844
582 267
592 880
603 687
614 691
625 895
Guadalajara
4 111 336
4 199 699
4 295 064
4 398 145
4 509 743
4 630 757
4 762 199
4 905 204
Hermosillo
725 888
744 872
764 352
784 342
804 855
825 904
847 504
869 669
Irapuato
499 103
509 017
519 128
529 440
539 957
550 683
561 622
572 778
Juárez
1 271 302
1 291 263
1 311 538
1 332 131
1 353 047
1 374 292
1 395 870
1 417 787
León
1 495 114
1 532 311
1 570 433
1 609 504
1 649 547
1 690 587
1 732 649
1 775 758
Mexicali
865 075
888 359
912 271
936 826
962 042
987 937
1 014 529
1 041 837
Mexico City
18 527 280
18 759 024
19 001 681
19 255 925
19 522 493
19 802 161
20 095 780
20 404 259
Monterrey
3 814 753
3 915 469
4 027 375
4 152 115
4 291 614
4 448 139
4 624 364
4 823 452
Morelia
793 705
810 600
828 039
846 052
864 667
883 918
903 838
924 462
Mérida
1 244 944
1 268 175
1 292 064
1 316 633
1 341 917
1 367 952
1 394 774
1 422 422
Oaxaca de Juárez
680 717
696 208
712 399
729 315
747 000
765 497
784 848
805 102
Pachuca de Soto
490 683
507 805
526 362
546 513
568 433
592 318
618 385
646 880
Puebla
1 995 792
2 040 938
2 087 447
2 135 375
2 184 781
2 235 730
2 288 285
2 342 519
Querétaro
1 018 987
1 051 248
1 084 778
1 119 642
1 155 905
1 193 636
1 232 909
1 273 803
Reynosa
656 218
678 999
702 633
727 150
752 584
778 971
806 347
834 750
Saltillo
675 220
691 461
708 092
725 123
742 564
760 424
778 714
797 444
San Luis Potosí
1 115 132
1 138 054
1 161 575
1 185 716
1 210 497
1 235 937
1 262 058
1 288 885
Tampico
723 736
735 995
748 783
762 129
776 062
790 611
805 807
821 685
Tijuana
1 404 690
1 454 563
1 506 206
1 559 683
1 615 059
1 672 401
1 731 779
1 793 265
Toluca
1 780 699
1 830 930
1 882 721
1 936 126
1 991 203
2 048 009
2 106 609
2 167 067
Torreón
1 177 202
1 200 260
1 223 777
1 247 765
1 272 233
1 297 189
1 322 644
1 348 608
Tuxtla Gutiérrez
678 649
697 947
717 811
738 261
759 313
780 987
803 301
826 276
Veracruz
739 543
753 428
767 678
782 301
797 313
812 727
828 555
844 813
Xalapa
688 104
701 667
715 515
729 661
744 111
758 871
773 949
789 353
Norway
4 681 134
4 737 171
4 799 252
4 858 199
4 920 305
4 985 870
5 051 275
5 107 970
Norway
Oslo
1 172 207
1 189 595
1 207 256
1 225 202
1 243 442
1 261 977
1 280 812
1 299 955
Poland
38 125 479
38 115 641
38 135 876
38 167 329
38 529 866
38 538 447
38 533 299
38 017 856
Poland
Gdansk
1 082 774
1 085 695
1 088 721
1 091 850
1 095 087
1 098 435
1 101 892
1 105 467
Katowice
2 658 029
2 648 022
2 638 082
2 628 207
2 618 396
2 608 651
2 598 967
2 589 349
Kraków
1 344 058
1 346 611
1 349 204
1 351 831
1 354 499
1 357 206
1 359 953
1 362 740
Lublin
671 178
671 122
671 099
671 101
671 133
671 197
671 289
671 410
Lódz
969 097
964 734
960 421
956 156
951 937
947 767
943 645
939 568
Poznan
923 488
926 818
930 324
934 002
937 865
941 914
946 157
950 596
Warsaw
2 941 826
2 954 665
2 967 786
2 981 198
2 994 909
3 008 921
3 023 245
3 037 890
Wroclaw
829 627
830 705
831 820
832 975
834 170
835 403
836 677
837 995
Portugal
10 532 588
10 553 339
10 563 014
10 573 479
10 572 721
10 542 398
10 487 289
10 427 301
Portugal
Lisbon
2 740 997
2 758 968
2 777 836
2 797 612
2 818 338
2 840 065
2 862 823
2 886 662
Porto
1 291 613
1 294 369
1 297 258
1 300 285
1 303 460
1 306 773
1 310 232
1 313 829
Slovak Republic
5 393 637
5 400 998
5 412 254
5 424 925
5 435 273
5 404 322
5 410 836
5 415 949
Slovak Republic
Bratislava
706 175
709 187
712 269
715 456
718 735
722 106
725 581
729 157
Slovenia
2 010 377
2 010 269
2 032 362
2 046 976
2 050 189
2 055 496
2 058 821
2 061 085
Slovenia
Ljubljana
553 581
558 035
562 541
567 098
571 708
576 370
581 083
585 850
Spain
44 784 659
45 668 938
46 239 271
46 486 621
46 667 175
46 818 216
46 727 890
46 512 199
Spain
Barcelona
3 555 141
3 594 393
3 634 411
3 675 206
3 716 802
3 759 240
3 802 525
3 846 697
Bilbao
986 311
989 856
993 520
997 311
1 001 233
1 005 286
1 009 477
1 013 805
Las Palmas
641 490
647 252
653 074
658 958
664 910
670 925
677 008
683 159
Madrid
6 142 713
6 259 099
6 380 567
6 507 502
6 640 335
6 779 528
6 925 615
7 079 173
Málaga
791 729
805 318
819 411
834 023
849 191
864 931
881 276
898 253
Seville
1 367 552
1 384 844
1 402 666
1 421 045
1 440 003
1 459 567
1 479 771
1 500 644
Valencia
1 503 524
1 525 303
1 547 628
1 570 517
1 593 989
1 618 070
1 642 784
1 668 153
Zaragoza
791 844
802 680
814 002
825 838
838 263
851 342
865 156
879 797
Sweden
9 113 257
9 182 927
9 256 347
9 340 682
9 415 570
9 482 855
9 555 893
9 644 864
Sweden
Gothenburg
861 481
866 669
871 892
877 150
882 444
887 773
893 139
898 541
Malmö
642 225
647 057
651 926
656 835
661 780
666 767
671 791
676 852
Stockholm
1 925 866
1 938 753
1 951 739
1 964 829
1 978 017
1 991 310
2 004 706
2 018 208
Switzerland
7 508 739
7 593 494
7 701 856
7 785 806
7 870 134
7 954 662
8 039 060
8 139 631
Switzerland
Basel
756 880
760 079
763 325
766 619
769 951
773 332
776 753
780 223
Geneva
753 233
763 535
774 133
785 022
796 184
807 646
819 397
831 452
Zurich
1 177 405
1 186 890
1 196 527
1 206 312
1 216 244
1 226 332
1 236 567
1 246 968
The Netherlands
16 357 992
16 405 399
16 485 787
16 574 989
16 655 799
16 730 348
16 779 575
16 829 289
The Netherlands
Amsterdam
2 296 063
2 317 340
2 338 971
2 360 958
2 383 313
2 406 043
2 429 155
2 452 659
Eindhoven
680 802
683 518
686 256
689 018
691 802
694 610
697 443
700 299
Rotterdam
1 468 772
1 473 917
1 479 265
1 484 830
1 490 619
1 496 629
1 502 876
1 509 373
The Hague
848 143
856 025
864 072
872 289
880 676
889 237
897 977
906 897
Utrecht
690 314
698 897
707 674
716 648
725 824
735 208
744 803
754 615
United Kingdom
61 073 279
61 571 647
62 042 343
62 510 197
63 022 532
63 495 303
64 105 700
64 308 261
United Kingdom
Birmingham (UK)
1 835 988
1 851 478
1 867 540
1 884 199
1 901 462
1 919 346
1 937 878
1 957 078
Bradford
518 945
525 428
532 497
540 172
548 479
557 445
567 101
577 474
Bristol
769 054
777 485
786 285
795 481
805 091
815 137
825 637
836 621
Cardiff
624 803
629 868
635 143
640 632
646 343
652 280
658 451
664 861
Edinburgh
706 146
712 749
719 909
727 620
735 914
744 798
754 307
764 454
Glasgow
937 740
940 693
944 049
947 809
951 990
956 593
961 627
967 101
Leeds
1 147 107
1 153 060
1 159 442
1 166 267
1 173 516
1 181 206
1 189 342
1 197 922
Leicester
639 225
646 244
653 444
660 817
668 372
676 119
684 065
692 217
Liverpool
918 659
921 351
924 798
929 014
934 029
939 870
946 576
954 181
London
11 372 881
11 509 970
11 650 153
11 793 530
11 940 176
12 090 254
12 243 890
12 401 188
Manchester
1 785 172
1 802 638
1 821 367
1 841 382
1 862 751
1 885 530
1 909 781
1 935 559
Newcastle
1 033 029
1 038 273
1 044 113
1 050 561
1 057 633
1 065 336
1 073 691
1 082 729
Nottingham
816 438
822 653
829 055
835 625
842 401
849 372
856 542
863 918
Portsmouth
565 322
569 184
573 135
577 191
581 344
585 604
589 975
594 455
Sheffield
859 420
865 548
872 477
880 237
888 849
898 347
908 760
920 128
United States
301 231 207
304 093 966
306 771 529
309 347 057
311 721 632
314 112 078
316 497 531
318 857 056
United States
Akron
542 116
542 004
541 893
541 781
541 669
541 557
541 445
541 333
Albany
856 962
861 516
866 098
870 710
875 350
880 019
884 719
889 447
Albuquerque
836 049
852 670
869 676
887 077
904 882
923 104
941 751
960 839
Atlanta
4 118 793
4 202 262
4 288 363
4 377 197
4 468 879
4 563 519
4 661 238
4 762 159
Austin
1 557 679
1 608 564
1 661 404
1 716 283
1 773 294
1 832 530
1 894 091
1 958 079
Baltimore
1 930 671
1 939 607
1 948 684
1 957 901
1 967 260
1 976 762
1 986 409
1 996 200
Baton Rouge
624 730
631 545
638 514
645 639
652 928
660 384
668 013
675 818
Birmingham (US)
892 724
898 585
904 630
910 862
917 288
923 914
930 745
937 789
Boston
3 605 701
3 616 814
3 627 960
3 639 144
3 650 365
3 661 623
3 672 918
3 684 250
Buffalo
1 145 775
1 142 342
1 138 920
1 135 509
1 132 108
1 128 719
1 125 340
1 121 972
Charleston
627 095
639 308
651 809
664 605
677 704
691 115
704 846
718 907
Charlotte
1 182 001
1 219 694
1 258 654
1 298 931
1 340 570
1 383 620
1 428 134
1 474 164
Chicago
9 335 641
9 375 715
9 417 510
9 461 105
9 506 571
9 553 989
9 603 440
9 655 015
Cincinnati
2 067 390
2 080 230
2 093 458
2 107 074
2 121 095
2 135 529
2 150 387
2 165 678
Clearwater/Saint Petersburg
1 342 910
1 355 292
1 368 065
1 381 239
1 394 827
1 408 843
1 423 299
1 438 208
Cleveland
1 542 545
1 531 657
1 520 863
1 510 163
1 499 557
1 489 043
1 478 620
1 468 288
Colorado Springs
611 071
622 377
633 895
645 626
657 575
669 746
682 143
694 770
Columbia
611 632
623 161
634 908
646 877
659 071
671 495
684 154
697 051
Columbus
1 793 291
1 816 970
1 841 175
1 865 929
1 891 248
1 917 154
1 943 668
1 970 809
Dallas
3 881 444
3 966 038
4 053 882
4 145 124
4 239 914
4 338 414
4 440 789
4 547 218
Dayton
699 555
698 590
697 646
696 726
695 829
694 954
694 102
693 273
Denver
2 428 693
2 468 418
2 509 285
2 551 341
2 594 625
2 639 184
2 685 066
2 732 325
Des Moines
573 838
583 305
593 003
602 942
613 130
623 576
634 289
645 279
Detroit
3 914 309
3 897 193
3 880 398
3 863 924
3 847 766
3 831 922
3 816 388
3 801 161
El Paso
765 671
778 279
791 096
804 123
817 365
830 827
844 511
858 421
Fort Worth
1 798 495
1 839 723
1 881 899
1 925 046
1 969 185
2 014 340
2 060 534
2 107 791
Fresno
1 031 252
1 047 811
1 064 640
1 081 742
1 099 123
1 116 786
1 134 736
1 152 979
Grand Rapids
593 993
596 855
599 732
602 622
605 526
608 444
611 376
614 322
Harrisburg
561 096
565 403
569 745
574 122
578 534
582 983
587 466
591 987
Houston
5 515 125
5 646 373
5 781 451
5 920 500
6 063 660
6 211 085
6 362 930
6 519 358
Indianapolis
1 583 400
1 607 756
1 632 813
1 658 600
1 685 139
1 712 461
1 740 592
1 769 561
Jacksonville
1 272 547
1 296 253
1 320 595
1 345 596
1 371 277
1 397 663
1 424 778
1 452 647
Kansas City
1 946 403
1 967 033
1 988 011
2 009 344
2 031 038
2 053 100
2 075 537
2 098 357
Las Vegas
1 797 192
1 860 912
1 926 894
1 995 215
2 065 960
2 139 214
2 215 067
2 293 610
Little Rock
643 196
652 415
661 834
671 459
681 293
691 343
701 612
712 108
Los Angeles
16 591 714
16 742 427
16 896 404
17 053 746
17 214 555
17 378 937
17 547 000
17 718 858
Louisville
1 199 590
1 211 457
1 223 492
1 235 708
1 248 103
1 260 682
1 273 449
1 286 409
Madison
524 217
531 023
537 919
544 906
551 985
559 158
566 425
573 789
Mcallen
706 415
728 502
751 280
774 769
798 993
823 974
849 736
876 304
Memphis
1 288 299
1 300 157
1 312 330
1 324 829
1 337 668
1 350 858
1 364 413
1 378 346
Miami
5 390 811
5 448 094
5 506 035
5 564 641
5 623 920
5 683 881
5 744 533
5 805 883
Milwaukee
1 538 917
1 544 538
1 550 201
1 555 908
1 561 659
1 567 455
1 573 295
1 579 180
Minneapolis
3 246 604
3 279 956
3 314 032
3 348 859
3 384 455
3 420 837
3 458 031
3 496 061
Nashville
1 177 959
1 198 031
1 218 562
1 239 565
1 261 053
1 283 042
1 305 542
1 328 572
New Orleans
1 226 150
1 213 355
1 201 268
1 189 866
1 179 130
1 169 036
1 159 566
1 150 702
New York
16 410 573
16 453 331
16 496 283
16 539 430
16 582 772
16 626 313
16 670 053
16 713 992
Norfolk-Portsmouth-Chesapeake-Virginia beach
1 064 116
1 070 351
1 076 689
1 083 127
1 089 668
1 096 316
1 103 073
1 109 942
Oklahoma city
1 202 877
1 219 295
1 235 997
1 252 987
1 270 272
1 287 859
1 305 752
1 323 960
Omaha
834 177
844 399
854 791
865 350
876 084
886 996
898 090
909 370
Orlando
1 972 241
2 024 723
2 078 762
2 134 411
2 191 721
2 250 749
2 311 550
2 374 184
Philadelphia
3 994 411
4 004 502
4 014 643
4 024 830
4 035 066
4 045 350
4 055 682
4 066 064
Phoenix
3 576 412
3 654 911
3 735 134
3 817 117
3 900 900
3 986 522
4 074 023
4 163 445
Pittsburgh
1 240 612
1 234 856
1 229 126
1 223 423
1 217 746
1 212 096
1 206 472
1 200 874
Portland
2 131 646
2 162 610
2 194 061
2 226 009
2 258 461
2 291 426
2 324 911
2 358 928
Providence
841 686
842 024
842 362
842 700
843 039
843 378
843 719
844 060
Raleigh
1 017 985
1 054 223
1 091 760
1 130 641
1 170 916
1 212 635
1 255 849
1 300 612
Richmond
495 066
500 350
505 711
511 149
516 664
522 258
527 933
533 689
Sacramento/Roseville
2 035 769
2 072 778
2 110 556
2 149 127
2 188 509
2 228 721
2 269 785
2 311 721
Saint Louis (US)
2 525 899
2 536 904
2 548 244
2 559 926
2 571 958
2 584 344
2 597 098
2 610 223
Salt Lake City
1 075 935
1 092 119
1 108 572
1 125 301
1 142 311
1 159 607
1 177 194
1 195 080
San Antonio
2 002 366
2 047 970
2 094 675
2 142 508
2 191 500
2 241 681
2 293 079
2 345 730
San Diego
3 008 034
3 036 850
3 065 942
3 095 313
3 124 965
3 154 901
3 185 124
3 215 637
San Francisco
6 744 296
6 778 659
6 813 233
6 848 028
6 883 043
6 918 280
6 953 737
6 989 419
Seattle
2 550 014
2 581 101
2 612 583
2 644 466
2 676 756
2 709 458
2 742 577
2 776 119
Tampa
1 155 061
1 179 272
1 203 990
1 229 226
1 254 991
1 281 296
1 308 152
1 335 571
Toledo (US)
445 746
444 432
443 121
441 815
440 512
439 213
437 918
436 627
Tucson
937 138
951 298
965 672
980 263
995 075
1 010 111
1 025 374
1 040 867
Tulsa
923 559
931 604
939 753
948 014
956 385
964 870
973 469
982 186
Washington
5 373 914
5 458 943
5 546 333
5 636 185
5 728 605
5 823 700
5 921 588
6 022 391
Wichita
572 810
577 946
583 135
588 377
593 673
599 023
604 427
609 887
Data extracted on 26 Apr 2018 09:45 UTC (GMT) from
UKDS.Stat
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