Análisis en Instagram de @tracyandersonmethod
Periodo analizado: 21/12/2015 al 20/01/2016
Actualizado el 20 de enero de 2016 11:30 +0100
1075 Publicaciones
587 Seguidos
215099 Seguidores
Historial de followers
Top potential contributors
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jlo 35305343
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saschafitness 1836454
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voguebrasil 1227538
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thecoveteur 812374
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somethingnavy 806173
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riae_ 556479
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torispelling 555420
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nataliariverapr 472341
47154 followers analizados
Porcentaje de followers con perfil público y privado
47154 followers analizados
Género de followers
47154 followers analizados
Mapa de algunas fotos de los seguidores
8466 followers analizados
Procedencia de los seguidores
180090
Perfiles públicos
8466
Analizados
2333
Localizados
98
Paises
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 46.5 % | 1085 |
United Kingdom | 9.6 % | 225 |
España | 4.3 % | 100 |
France | 4.2 % | 97 |
Canada | 3.8 % | 88 |
Italy | 3.1 % | 73 |
Other | 30.8 % | 738 |
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 46.5 % | 1085 |
New York | 31.4 % | 341 |
New York County | 87.7 % | 299 |
New York | 100.0 % | 299 |
Suffolk County | 5.0 % | 17 |
East Hampton | 23.5 % | 4 |
Water Mill | 23.5 % | 4 |
Oakdale | 11.8 % | 2 |
Sag Harbor | 11.8 % | 2 |
Westhampton Beach | 11.8 % | 2 |
Brightwaters | 5.9 % | 1 |
Cold Spring Harbor | 5.9 % | 1 |
Saint James | 5.9 % | 1 |
Westchester County | 2.3 % | 8 |
Mamaroneck | 37.5 % | 3 |
Mount Kisco | 25.0 % | 2 |
White Plains | 12.5 % | 1 |
Yonkers | 12.5 % | 1 |
Yorktown Heights | 12.5 % | 1 |
Nassau County | 0.9 % | 3 |
East Rockaway | 33.3 % | 1 |
Garden City | 33.3 % | 1 |
Massapequa | 33.3 % | 1 |
Queens County | 0.9 % | 3 |
Monroe County | 0.6 % | 2 |
Fairport | 50.0 % | 1 |
Rochester | 50.0 % | 1 |
Bronx County | 0.3 % | 1 |
Erie County | 0.3 % | 1 |
Cheektowaga | 100.0 % | 1 |
Kings County | 0.3 % | 1 |
Otsego County | 0.3 % | 1 |
Cooperstown | 100.0 % | 1 |
Saratoga County | 0.3 % | 1 |
Saratoga Springs | 100.0 % | 1 |
Schuyler County | 0.3 % | 1 |
Bradford | 100.0 % | 1 |
Tompkins County | 0.3 % | 1 |
Ithaca | 100.0 % | 1 |
Ulster County | 0.3 % | 1 |
Saugerties | 100.0 % | 1 |
Warren County | 0.3 % | 1 |
Bolton | 100.0 % | 1 |
California | 22.4 % | 243 |
Los Angeles County | 56.8 % | 138 |
Los Angeles | 61.6 % | 85 |
Santa Monica | 13.8 % | 19 |
Long Beach | 3.6 % | 5 |
Malibu | 2.9 % | 4 |
Arcadia | 2.2 % | 3 |
Inglewood | 2.2 % | 3 |
Pomona | 2.2 % | 3 |
Rancho Palos Verdes | 2.2 % | 3 |
La Mirada | 1.4 % | 2 |
Paramount | 1.4 % | 2 |
Pasadena | 1.4 % | 2 |
Redondo Beach | 1.4 % | 2 |
Agoura Hills | 0.7 % | 1 |
Other | 0.7 % | 1 |
Santa Clarita | 0.7 % | 1 |
South Gate | 0.7 % | 1 |
Westlake Village | 0.7 % | 1 |
Orange County | 9.9 % | 24 |
Santa Ana | 25.0 % | 6 |
Newport Beach | 16.7 % | 4 |
Huntington Beach | 12.5 % | 3 |
Lake Forest | 12.5 % | 3 |
Anaheim | 8.3 % | 2 |
Los Alamitos | 8.3 % | 2 |
San Juan Capistrano | 8.3 % | 2 |
Brea | 4.2 % | 1 |
Irvine | 4.2 % | 1 |
San Diego County | 9.5 % | 23 |
San Diego | 73.9 % | 17 |
Carlsbad | 13.0 % | 3 |
San Marcos | 8.7 % | 2 |
Encinitas | 4.3 % | 1 |
San Francisco County | 7.4 % | 18 |
San Francisco | 100.0 % | 18 |
Yolo County | 2.1 % | 5 |
West Sacramento | 80.0 % | 4 |
Davis | 20.0 % | 1 |
San Bernardino County | 1.6 % | 4 |
Loma Linda | 50.0 % | 2 |
Ontario | 25.0 % | 1 |
Upland | 25.0 % | 1 |
Santa Clara County | 1.6 % | 4 |
Santa Clara | 75.0 % | 3 |
Mountain View | 25.0 % | 1 |
Placer County | 1.2 % | 3 |
Granite Bay | 66.7 % | 2 |
Kings Beach | 33.3 % | 1 |
Riverside County | 1.2 % | 3 |
Palm Springs | 66.7 % | 2 |
Coachella | 33.3 % | 1 |
Santa Barbara County | 1.2 % | 3 |
Goleta | 33.3 % | 1 |
Santa Barbara | 33.3 % | 1 |
Solvang | 33.3 % | 1 |
Contra Costa County | 0.8 % | 2 |
Lafayette | 50.0 % | 1 |
Pittsburg | 50.0 % | 1 |
El Dorado County | 0.8 % | 2 |
South Lake Tahoe | 100.0 % | 2 |
Marin County | 0.8 % | 2 |
Novato | 50.0 % | 1 |
San Rafael | 50.0 % | 1 |
Napa County | 0.8 % | 2 |
Napa | 50.0 % | 1 |
Oakville | 50.0 % | 1 |
Sacramento County | 0.8 % | 2 |
Elk Grove | 50.0 % | 1 |
Sacramento | 50.0 % | 1 |
San Luis Obispo County | 0.8 % | 2 |
Cayucos | 50.0 % | 1 |
San Luis Obispo | 50.0 % | 1 |
San Mateo County | 0.8 % | 2 |
San Francisco | 100.0 % | 2 |
Alameda County | 0.4 % | 1 |
Oakland | 100.0 % | 1 |
Butte County | 0.4 % | 1 |
Chico | 100.0 % | 1 |
Stanislaus County | 0.4 % | 1 |
Modesto | 100.0 % | 1 |
Ventura County | 0.4 % | 1 |
Oxnard | 100.0 % | 1 |
Florida | 6.6 % | 72 |
Miami-Dade County | 41.7 % | 30 |
Miami Beach | 53.3 % | 16 |
Miami | 23.3 % | 7 |
Doral | 10.0 % | 3 |
El Portal | 6.7 % | 2 |
Coral Gables | 3.3 % | 1 |
Key Biscayne | 3.3 % | 1 |
Orange County | 12.5 % | 9 |
Kissimmee | 44.4 % | 4 |
Orlando | 33.3 % | 3 |
Windermere | 22.2 % | 2 |
Hillsborough County | 8.3 % | 6 |
Tampa | 83.3 % | 5 |
Temple Terrace | 16.7 % | 1 |
Palm Beach County | 5.6 % | 4 |
Delray Beach | 50.0 % | 2 |
Boca Raton | 25.0 % | 1 |
West Palm Beach | 25.0 % | 1 |
Broward County | 4.2 % | 3 |
Fort Lauderdale | 33.3 % | 1 |
Hollywood | 33.3 % | 1 |
Pompano Beach | 33.3 % | 1 |
Duval County | 4.2 % | 3 |
Jacksonville | 100.0 % | 3 |
Lee County | 4.2 % | 3 |
Fort Myers | 66.7 % | 2 |
Bonita Springs | 33.3 % | 1 |
Alachua County | 2.8 % | 2 |
Gainesville | 100.0 % | 2 |
Escambia County | 2.8 % | 2 |
Pensacola | 50.0 % | 1 |
Pensacola Beach | 50.0 % | 1 |
Monroe County | 2.8 % | 2 |
Key West | 100.0 % | 2 |
Bay County | 1.4 % | 1 |
Panama City Beach | 100.0 % | 1 |
Franklin County | 1.4 % | 1 |
Apalachicola | 100.0 % | 1 |
Okaloosa County | 1.4 % | 1 |
Destin | 100.0 % | 1 |
Pinellas County | 1.4 % | 1 |
Saint Petersburg | 100.0 % | 1 |
Polk County | 1.4 % | 1 |
Lakeland | 100.0 % | 1 |
Seminole County | 1.4 % | 1 |
Maitland | 100.0 % | 1 |
St. Lucie County | 1.4 % | 1 |
Fort Pierce | 100.0 % | 1 |
Walton County | 1.4 % | 1 |
Alys Beach | 100.0 % | 1 |
Texas | 5.1 % | 55 |
Travis County | 23.6 % | 13 |
Austin | 92.3 % | 12 |
Other | 7.7 % | 1 |
Dallas County | 20.0 % | 11 |
Dallas | 100.0 % | 11 |
Harris County | 20.0 % | 11 |
Houston | 100.0 % | 11 |
Bexar County | 10.9 % | 6 |
San Antonio | 100.0 % | 6 |
Tarrant County | 10.9 % | 6 |
Arlington | 50.0 % | 3 |
Fort Worth | 50.0 % | 3 |
Collin County | 3.6 % | 2 |
Plano | 100.0 % | 2 |
Brazoria County | 1.8 % | 1 |
Lake Jackson | 100.0 % | 1 |
Dallam County | 1.8 % | 1 |
Dalhart | 100.0 % | 1 |
Jefferson County | 1.8 % | 1 |
Port Arthur | 100.0 % | 1 |
Nueces County | 1.8 % | 1 |
Port Aransas | 100.0 % | 1 |
Smith County | 1.8 % | 1 |
Tyler | 100.0 % | 1 |
Williamson County | 1.8 % | 1 |
Round Rock | 100.0 % | 1 |
Illinois | 3.6 % | 39 |
Cook County | 97.4 % | 38 |
Chicago | 92.1 % | 35 |
Glencoe | 5.3 % | 2 |
Westchester | 2.6 % | 1 |
DeKalb County | 2.6 % | 1 |
DeKalb | 100.0 % | 1 |
Massachusetts | 2.9 % | 32 |
Suffolk County | 50.0 % | 16 |
Boston | 100.0 % | 16 |
Barnstable County | 12.5 % | 4 |
Bourne | 25.0 % | 1 |
Chatham | 25.0 % | 1 |
Sandwich | 25.0 % | 1 |
Wellfleet | 25.0 % | 1 |
Essex County | 6.3 % | 2 |
Danvers | 50.0 % | 1 |
Newbury | 50.0 % | 1 |
Franklin County | 6.3 % | 2 |
Sunderland | 100.0 % | 2 |
Middlesex County | 6.3 % | 2 |
Chelmsford | 50.0 % | 1 |
Wilmington | 50.0 % | 1 |
Nantucket County | 6.3 % | 2 |
Nantucket | 100.0 % | 2 |
Bristol County | 3.1 % | 1 |
Swansea | 100.0 % | 1 |
Hampden County | 3.1 % | 1 |
Chicopee | 100.0 % | 1 |
Hampshire County | 3.1 % | 1 |
Easthampton | 100.0 % | 1 |
Worcester County | 3.1 % | 1 |
Leominster | 100.0 % | 1 |
Pennsylvania | 2.3 % | 25 |
Allegheny County | 40.0 % | 10 |
Pittsburgh | 90.0 % | 9 |
Plum | 10.0 % | 1 |
Philadelphia County | 40.0 % | 10 |
Philadelphia | 100.0 % | 10 |
Delaware County | 8.0 % | 2 |
Glen Mills | 50.0 % | 1 |
Springfield | 50.0 % | 1 |
Lehigh County | 4.0 % | 1 |
Luzerne County | 4.0 % | 1 |
Montgomery County | 4.0 % | 1 |
Conshohocken | 100.0 % | 1 |
New Jersey | 2.0 % | 22 |
Monmouth County | 22.7 % | 5 |
Asbury Park | 40.0 % | 2 |
Aberdeen Township | 20.0 % | 1 |
Red Bank | 20.0 % | 1 |
Wall Township | 20.0 % | 1 |
Bergen County | 18.2 % | 4 |
Teterboro | 50.0 % | 2 |
Wyckoff | 50.0 % | 2 |
Essex County | 18.2 % | 4 |
Livingston | 50.0 % | 2 |
Newark | 50.0 % | 2 |
Cape May County | 9.1 % | 2 |
Cape May | 50.0 % | 1 |
Ocean City | 50.0 % | 1 |
Somerset County | 9.1 % | 2 |
Franklin Township | 50.0 % | 1 |
Watchung | 50.0 % | 1 |
Cumberland County | 4.5 % | 1 |
Vineland | 100.0 % | 1 |
Middlesex County | 4.5 % | 1 |
Carteret | 100.0 % | 1 |
Morris County | 4.5 % | 1 |
Chester | 100.0 % | 1 |
Ocean County | 4.5 % | 1 |
Stafford Township | 100.0 % | 1 |
Salem County | 4.5 % | 1 |
Salem | 100.0 % | 1 |
District of Columbia | 1.8 % | 20 |
Washington | 100.0 % | 20 |
Georgia | 1.7 % | 18 |
Fulton County | 55.6 % | 10 |
Atlanta | 90.0 % | 9 |
Alpharetta | 10.0 % | 1 |
DeKalb County | 27.8 % | 5 |
Chamblee | 100.0 % | 5 |
Forsyth County | 5.6 % | 1 |
Alpharetta | 100.0 % | 1 |
Hall County | 5.6 % | 1 |
Braselton | 100.0 % | 1 |
Richmond County | 5.6 % | 1 |
Augusta | 100.0 % | 1 |
Arizona | 1.6 % | 17 |
Maricopa County | 94.1 % | 16 |
Phoenix | 68.8 % | 11 |
Scottsdale | 25.0 % | 4 |
Tempe | 6.3 % | 1 |
Pima County | 5.9 % | 1 |
Tucson | 100.0 % | 1 |
Maryland | 1.2 % | 13 |
Prince George's County | 23.1 % | 3 |
Bowie | 33.3 % | 1 |
East Riverdale | 33.3 % | 1 |
Fort Washington | 33.3 % | 1 |
Anne Arundel County | 15.4 % | 2 |
Annapolis | 100.0 % | 2 |
Frederick County | 15.4 % | 2 |
Frederick | 100.0 % | 2 |
Other | 15.4 % | 2 |
Baltimore | 100.0 % | 2 |
Baltimore County | 7.7 % | 1 |
Cockeysville | 100.0 % | 1 |
Montgomery County | 7.7 % | 1 |
Rockville | 100.0 % | 1 |
St. Mary's County | 7.7 % | 1 |
Leonardtown | 100.0 % | 1 |
Wicomico County | 7.7 % | 1 |
Salisbury | 100.0 % | 1 |
North Carolina | 1.2 % | 13 |
Mecklenburg County | 53.8 % | 7 |
Charlotte | 100.0 % | 7 |
Durham County | 15.4 % | 2 |
Bahama | 50.0 % | 1 |
Durham | 50.0 % | 1 |
Buncombe County | 7.7 % | 1 |
Black Mountain | 100.0 % | 1 |
New Hanover County | 7.7 % | 1 |
Wilmington | 100.0 % | 1 |
Stokes County | 7.7 % | 1 |
Germanton | 100.0 % | 1 |
Watauga County | 7.7 % | 1 |
Beech Mountain | 100.0 % | 1 |
Tennessee | 1.2 % | 13 |
Davidson County | 61.5 % | 8 |
Nashville | 87.5 % | 7 |
Brentwood | 12.5 % | 1 |
Hamilton County | 15.4 % | 2 |
Chattanooga | 100.0 % | 2 |
Coffee County | 7.7 % | 1 |
Manchester | 100.0 % | 1 |
Shelby County | 7.7 % | 1 |
Memphis | 100.0 % | 1 |
Wilson County | 7.7 % | 1 |
Lebanon | 100.0 % | 1 |
Ohio | 1.1 % | 12 |
Hamilton County | 33.3 % | 4 |
Cincinnati | 75.0 % | 3 |
Madeira | 25.0 % | 1 |
Cuyahoga County | 25.0 % | 3 |
Solon | 66.7 % | 2 |
Cleveland | 33.3 % | 1 |
Franklin County | 16.7 % | 2 |
Columbus | 100.0 % | 2 |
Huron County | 8.3 % | 1 |
Bellevue | 100.0 % | 1 |
Ottawa County | 8.3 % | 1 |
Put-in-Bay | 100.0 % | 1 |
Summit County | 8.3 % | 1 |
Hudson | 100.0 % | 1 |
Oregon | 1.1 % | 12 |
Multnomah County | 50.0 % | 6 |
Portland | 66.7 % | 4 |
Corbett | 33.3 % | 2 |
Clackamas County | 25.0 % | 3 |
Happy Valley | 33.3 % | 1 |
Oregon City | 33.3 % | 1 |
Wilsonville | 33.3 % | 1 |
Deschutes County | 8.3 % | 1 |
La Pine | 100.0 % | 1 |
Linn County | 8.3 % | 1 |
Lebanon | 100.0 % | 1 |
Marion County | 8.3 % | 1 |
Silverton | 100.0 % | 1 |
Washington | 1.1 % | 12 |
King County | 75.0 % | 9 |
Seattle | 88.9 % | 8 |
Renton | 11.1 % | 1 |
Clallam County | 8.3 % | 1 |
Sequim | 100.0 % | 1 |
Spokane County | 8.3 % | 1 |
Spokane | 100.0 % | 1 |
Whatcom County | 8.3 % | 1 |
Bellingham | 100.0 % | 1 |
South Carolina | 1.0 % | 11 |
Charleston County | 54.5 % | 6 |
Charleston | 50.0 % | 3 |
Awendaw | 16.7 % | 1 |
Johns Island | 16.7 % | 1 |
North Charleston | 16.7 % | 1 |
Greenville County | 27.3 % | 3 |
Greenville | 66.7 % | 2 |
Simpsonville | 33.3 % | 1 |
Dorchester County | 9.1 % | 1 |
Summerville | 100.0 % | 1 |
York County | 9.1 % | 1 |
York | 100.0 % | 1 |
Virginia | 1.0 % | 11 |
Other | 45.5 % | 5 |
Richmond | 40.0 % | 2 |
Virginia Beach | 40.0 % | 2 |
Hampton | 20.0 % | 1 |
Fairfax County | 18.2 % | 2 |
Fairfax | 50.0 % | 1 |
McLean | 50.0 % | 1 |
Loudoun County | 9.1 % | 1 |
Ashburn | 100.0 % | 1 |
Prince William County | 9.1 % | 1 |
Catharpin | 100.0 % | 1 |
Warren County | 9.1 % | 1 |
Front Royal | 100.0 % | 1 |
Wise County | 9.1 % | 1 |
Big Stone Gap | 100.0 % | 1 |
Colorado | 0.8 % | 9 |
Denver County | 66.7 % | 6 |
Denver | 100.0 % | 6 |
Jefferson County | 11.1 % | 1 |
Conifer | 100.0 % | 1 |
Pitkin County | 11.1 % | 1 |
Aspen | 100.0 % | 1 |
Summit County | 11.1 % | 1 |
Breckenridge | 100.0 % | 1 |
Louisiana | 0.8 % | 9 |
Orleans Parish | 88.9 % | 8 |
New Orleans | 100.0 % | 8 |
Cameron Parish | 11.1 % | 1 |
Cameron | 100.0 % | 1 |
Missouri | 0.7 % | 8 |
St. Louis County | 87.5 % | 7 |
Saint Louis | 71.4 % | 5 |
University City | 28.6 % | 2 |
Jackson County | 12.5 % | 1 |
Kansas City | 100.0 % | 1 |
Utah | 0.7 % | 8 |
Salt Lake County | 75.0 % | 6 |
Midvale | 33.3 % | 2 |
Salt Lake City | 33.3 % | 2 |
Alta | 16.7 % | 1 |
Riverton | 16.7 % | 1 |
Utah County | 12.5 % | 1 |
Provo | 100.0 % | 1 |
Washington County | 12.5 % | 1 |
Saint George | 100.0 % | 1 |
Indiana | 0.6 % | 7 |
Marion County | 57.1 % | 4 |
Indianapolis | 100.0 % | 4 |
Allen County | 14.3 % | 1 |
Fort Wayne | 100.0 % | 1 |
Madison County | 14.3 % | 1 |
Lapel | 100.0 % | 1 |
Monroe County | 14.3 % | 1 |
Bloomington | 100.0 % | 1 |
Nevada | 0.6 % | 7 |
Clark County | 100.0 % | 7 |
Las Vegas | 100.0 % | 7 |
Michigan | 0.6 % | 6 |
Wayne County | 33.3 % | 2 |
Allen Park | 50.0 % | 1 |
Detroit | 50.0 % | 1 |
Jackson County | 16.7 % | 1 |
Jackson | 100.0 % | 1 |
Kent County | 16.7 % | 1 |
Rockford | 100.0 % | 1 |
Marquette County | 16.7 % | 1 |
Gwinn | 100.0 % | 1 |
Muskegon County | 16.7 % | 1 |
Muskegon | 100.0 % | 1 |
Minnesota | 0.6 % | 6 |
Hennepin County | 83.3 % | 5 |
Minneapolis | 100.0 % | 5 |
Washington County | 16.7 % | 1 |
Woodbury | 100.0 % | 1 |
Alabama | 0.4 % | 4 |
Jefferson County | 25.0 % | 1 |
Birmingham | 100.0 % | 1 |
Lauderdale County | 25.0 % | 1 |
Florence | 100.0 % | 1 |
Lee County | 25.0 % | 1 |
Auburn | 100.0 % | 1 |
Mobile County | 25.0 % | 1 |
Dauphin Island | 100.0 % | 1 |
Connecticut | 0.4 % | 4 |
Fairfield County | 75.0 % | 3 |
Norwalk | 66.7 % | 2 |
Weston | 33.3 % | 1 |
Litchfield County | 25.0 % | 1 |
Washington | 100.0 % | 1 |
Rhode Island | 0.4 % | 4 |
Bristol County | 25.0 % | 1 |
Bristol | 100.0 % | 1 |
Newport County | 25.0 % | 1 |
Little Compton | 100.0 % | 1 |
Providence County | 25.0 % | 1 |
Providence | 100.0 % | 1 |
Washington County | 25.0 % | 1 |
Narragansett | 100.0 % | 1 |
Kentucky | 0.3 % | 3 |
Fayette County | 33.3 % | 1 |
Lexington | 100.0 % | 1 |
Henderson County | 33.3 % | 1 |
Henderson | 100.0 % | 1 |
Johnson County | 33.3 % | 1 |
Paintsville | 100.0 % | 1 |
New Hampshire | 0.3 % | 3 |
Belknap County | 33.3 % | 1 |
Gilford | 100.0 % | 1 |
Hillsborough County | 33.3 % | 1 |
Merrimack | 100.0 % | 1 |
Rockingham County | 33.3 % | 1 |
Portsmouth | 100.0 % | 1 |
Oklahoma | 0.3 % | 3 |
Oklahoma County | 100.0 % | 3 |
Oklahoma City | 66.7 % | 2 |
Midwest City | 33.3 % | 1 |
Wisconsin | 0.3 % | 3 |
Portage County | 66.7 % | 2 |
Stevens Point | 100.0 % | 2 |
Waukesha County | 33.3 % | 1 |
Hartland | 100.0 % | 1 |
Arkansas | 0.2 % | 2 |
Pulaski County | 100.0 % | 2 |
Little Rock | 100.0 % | 2 |
Delaware | 0.2 % | 2 |
New Castle County | 50.0 % | 1 |
Newark | 100.0 % | 1 |
Sussex County | 50.0 % | 1 |
Milton | 100.0 % | 1 |
Hawaii | 0.2 % | 2 |
Honolulu County | 50.0 % | 1 |
Honolulu | 100.0 % | 1 |
Maui County | 50.0 % | 1 |
Kihei | 100.0 % | 1 |
Idaho | 0.2 % | 2 |
Ada County | 50.0 % | 1 |
Meridian | 100.0 % | 1 |
Twin Falls County | 50.0 % | 1 |
Twin Falls | 100.0 % | 1 |
Kansas | 0.2 % | 2 |
Johnson County | 50.0 % | 1 |
Lenexa | 100.0 % | 1 |
Shawnee County | 50.0 % | 1 |
Topeka | 100.0 % | 1 |
Maine | 0.2 % | 2 |
Hancock County | 50.0 % | 1 |
Southwest Harbor | 100.0 % | 1 |
Knox County | 50.0 % | 1 |
Vinalhaven | 100.0 % | 1 |
Nebraska | 0.2 % | 2 |
Douglas County | 50.0 % | 1 |
Omaha | 100.0 % | 1 |
Madison County | 50.0 % | 1 |
Newman Grove | 100.0 % | 1 |
New Mexico | 0.2 % | 2 |
Bernalillo County | 50.0 % | 1 |
Albuquerque | 100.0 % | 1 |
Santa Fe County | 50.0 % | 1 |
Santa Fe | 100.0 % | 1 |
Wyoming | 0.2 % | 2 |
Teton County | 100.0 % | 2 |
Jackson | 50.0 % | 1 |
Moose | 50.0 % | 1 |
South Dakota | 0.1 % | 1 |
Pennington County | 100.0 % | 1 |
Rapid City | 100.0 % | 1 |
Vermont | 0.1 % | 1 |
Chittenden County | 100.0 % | 1 |
Burlington | 100.0 % | 1 |
United Kingdom | 9.6 % | 225 |
England | 93.3 % | 210 |
Greater London | 78.1 % | 164 |
London | 92.1 % | 151 |
Richmond | 4.9 % | 8 |
Longford | 1.2 % | 2 |
Barnet | 0.6 % | 1 |
Croydon | 0.6 % | 1 |
Northolt | 0.6 % | 1 |
Greater Manchester | 4.8 % | 10 |
Manchester | 60.0 % | 6 |
Other | 20.0 % | 2 |
Oldham | 10.0 % | 1 |
Rochdale | 10.0 % | 1 |
West Midlands | 1.9 % | 4 |
Birmingham | 100.0 % | 4 |
Cornwall | 1.4 % | 3 |
Other | 66.7 % | 2 |
Perranporth | 33.3 % | 1 |
Gloucestershire | 1.4 % | 3 |
Stow-on-the-Wold | 33.3 % | 1 |
Tetbury | 33.3 % | 1 |
Tewkesbury | 33.3 % | 1 |
Cambridgeshire | 1.0 % | 2 |
Cambridge | 50.0 % | 1 |
Other | 50.0 % | 1 |
County Durham | 1.0 % | 2 |
Durham | 100.0 % | 2 |
Hampshire | 1.0 % | 2 |
Yateley | 100.0 % | 2 |
Kent | 1.0 % | 2 |
Broadstairs | 50.0 % | 1 |
Other | 50.0 % | 1 |
West Sussex | 1.0 % | 2 |
Chichester | 50.0 % | 1 |
Worthing | 50.0 % | 1 |
Cheshire East | 0.5 % | 1 |
Pickmere | 100.0 % | 1 |
Cumbria | 0.5 % | 1 |
Grasmere | 100.0 % | 1 |
Darlington | 0.5 % | 1 |
East Riding of Yorkshire | 0.5 % | 1 |
Bridlington | 100.0 % | 1 |
Essex | 0.5 % | 1 |
Harlow | 100.0 % | 1 |
Hertfordshire | 0.5 % | 1 |
Watford | 100.0 % | 1 |
Lancashire | 0.5 % | 1 |
Lytham Saint Annes | 100.0 % | 1 |
Leicester | 0.5 % | 1 |
Lincolnshire | 0.5 % | 1 |
Merseyside | 0.5 % | 1 |
Birkenhead | 100.0 % | 1 |
North Yorkshire | 0.5 % | 1 |
Other | 0.5 % | 1 |
Hull | 100.0 % | 1 |
Reading | 0.5 % | 1 |
Reading | 100.0 % | 1 |
Surrey | 0.5 % | 1 |
Windlesham | 100.0 % | 1 |
Torbay | 0.5 % | 1 |
Brixham | 100.0 % | 1 |
Tyne and Wear | 0.5 % | 1 |
Newcastle upon Tyne | 100.0 % | 1 |
Scotland | 5.3 % | 12 |
Glasgow City | 50.0 % | 6 |
Glasgow | 100.0 % | 6 |
Edinburgh | 16.7 % | 2 |
Edinburgh | 100.0 % | 2 |
Aberdeen City | 8.3 % | 1 |
Aberdeen | 100.0 % | 1 |
Fife | 8.3 % | 1 |
South Lanarkshire | 8.3 % | 1 |
Stirling | 8.3 % | 1 |
Stirling | 100.0 % | 1 |
Northern Ireland | 0.9 % | 2 |
Belfast | 100.0 % | 2 |
Belfast | 100.0 % | 2 |
Wales | 0.4 % | 1 |
Vale of Glamorgan | 100.0 % | 1 |
Penarth | 100.0 % | 1 |
España | 4.3 % | 100 |
Catalunya | 29.0 % | 29 |
Barcelona | 93.1 % | 27 |
Barcelona | 85.2 % | 23 |
Castelldefels | 3.7 % | 1 |
Sant Andreu de Llavaneres | 3.7 % | 1 |
Sant Esteve de Palautordera | 3.7 % | 1 |
Vilafranca del Penedès | 3.7 % | 1 |
Lleida | 3.4 % | 1 |
Les Borges Blanques | 100.0 % | 1 |
Tarragona | 3.4 % | 1 |
Cambrils | 100.0 % | 1 |
Comunidad de Madrid | 27.0 % | 27 |
Madrid | 100.0 % | 27 |
Madrid | 81.5 % | 22 |
Torrelodones | 7.4 % | 2 |
Boadilla del Monte | 3.7 % | 1 |
Getafe | 3.7 % | 1 |
Pozuelo de Alarcón | 3.7 % | 1 |
Andalucía | 11.0 % | 11 |
Málaga | 36.4 % | 4 |
Torre del Mar | 50.0 % | 2 |
Estepona | 25.0 % | 1 |
Málaga | 25.0 % | 1 |
Cádiz | 18.2 % | 2 |
Barbate | 50.0 % | 1 |
El Puerto de Santa María | 50.0 % | 1 |
Granada | 18.2 % | 2 |
Granada | 100.0 % | 2 |
Sevilla | 18.2 % | 2 |
Guillena | 50.0 % | 1 |
Sevilla | 50.0 % | 1 |
Almería | 9.1 % | 1 |
Almería | 100.0 % | 1 |
Comunidad Valenciana | 7.0 % | 7 |
Valencia | 57.1 % | 4 |
València | 100.0 % | 4 |
Alicante | 28.6 % | 2 |
Benidorm | 50.0 % | 1 |
Xàbia | 50.0 % | 1 |
Castelló | 14.3 % | 1 |
Benicàssim | 100.0 % | 1 |
Galicia | 5.0 % | 5 |
Pontevedra | 60.0 % | 3 |
Sanxenxo | 33.3 % | 1 |
Tui | 33.3 % | 1 |
Vigo | 33.3 % | 1 |
A Coruña | 20.0 % | 1 |
Ames | 100.0 % | 1 |
La Coruña | 20.0 % | 1 |
Miño | 100.0 % | 1 |
Illes Balears | 5.0 % | 5 |
Sant Josep de sa Talaia | 40.0 % | 2 |
Ciutadella de Menorca | 20.0 % | 1 |
Fornells | 20.0 % | 1 |
Palma | 20.0 % | 1 |
Canarias | 3.0 % | 3 |
Las Palmas | 100.0 % | 3 |
Las Palmas de Gran Canaria | 66.7 % | 2 |
Corralejo | 33.3 % | 1 |
Cataluña | 3.0 % | 3 |
Barcelona | 100.0 % | 3 |
Villanueva y Geltrú | 66.7 % | 2 |
Berga | 33.3 % | 1 |
Aragón | 2.0 % | 2 |
Zaragoza | 100.0 % | 2 |
Zaragoza | 100.0 % | 2 |
Euskadi | 2.0 % | 2 |
Bizkaia | 100.0 % | 2 |
Bilbao | 50.0 % | 1 |
Txipio | 50.0 % | 1 |
Cantabria | 1.0 % | 1 |
Santander | 100.0 % | 1 |
Castilla y León | 1.0 % | 1 |
Burgos | 100.0 % | 1 |
Castrillo de la Vega | 100.0 % | 1 |
Castilla-La Mancha | 1.0 % | 1 |
Albacete | 100.0 % | 1 |
Albacete | 100.0 % | 1 |
Navarra | 1.0 % | 1 |
Pamplona | 100.0 % | 1 |
Principado de Asturias | 1.0 % | 1 |
Asturias | 100.0 % | 1 |
Región de Murcia | 1.0 % | 1 |
Murcia | 100.0 % | 1 |
Cartagena | 100.0 % | 1 |
France | 4.2 % | 97 |
Île-de-France | 70.1 % | 68 |
Paris | 95.6 % | 65 |
Paris | 100.0 % | 65 |
Seine-et-Marne | 2.9 % | 2 |
Le Mesnil-Amelot | 50.0 % | 1 |
Serris | 50.0 % | 1 |
Val-de-Marne | 1.5 % | 1 |
Thiais | 100.0 % | 1 |
Provence-Alpes-Côte d'Azur | 14.4 % | 14 |
Alpes-Maritimes | 42.9 % | 6 |
Cannes | 33.3 % | 2 |
Nice | 33.3 % | 2 |
Vence | 33.3 % | 2 |
Var | 28.6 % | 4 |
Saint-Tropez | 50.0 % | 2 |
Draguignan | 25.0 % | 1 |
Lorgues | 25.0 % | 1 |
Bouches-du-Rhone | 7.1 % | 1 |
Le Tholonet | 100.0 % | 1 |
Bouches-du-Rhône | 7.1 % | 1 |
Salon-de-Provence | 100.0 % | 1 |
Hautes-Alpes | 7.1 % | 1 |
Château-Ville-Vieille | 100.0 % | 1 |
Vaucluse | 7.1 % | 1 |
Avignon | 100.0 % | 1 |
Alsace | 4.1 % | 4 |
Bas-Rhin | 100.0 % | 4 |
Strasbourg | 100.0 % | 4 |
Bretagne | 2.1 % | 2 |
Finistère | 50.0 % | 1 |
Plomeur | 100.0 % | 1 |
Ille-et-Vilaine | 50.0 % | 1 |
Rennes | 100.0 % | 1 |
Rhône-Alpes | 2.1 % | 2 |
Haute-Savoie | 50.0 % | 1 |
Évian-les-Bains | 100.0 % | 1 |
Rhône | 50.0 % | 1 |
Villeurbanne | 100.0 % | 1 |
Aquitaine | 1.0 % | 1 |
Landes | 100.0 % | 1 |
Soorts-Hossegor | 100.0 % | 1 |
Centre | 1.0 % | 1 |
Indre-et-Loire | 100.0 % | 1 |
Chambourg-sur-Indre | 100.0 % | 1 |
Corse | 1.0 % | 1 |
Corse-du-Sud | 100.0 % | 1 |
Grosseto-Prugna | 100.0 % | 1 |
Haute-Normandie | 1.0 % | 1 |
Seine-Maritime | 100.0 % | 1 |
Rouen | 100.0 % | 1 |
Languedoc-Roussillon | 1.0 % | 1 |
Hérault | 100.0 % | 1 |
Castelnau-le-Lez | 100.0 % | 1 |
Lorraine | 1.0 % | 1 |
Meurthe-et-Moselle | 100.0 % | 1 |
Nancy | 100.0 % | 1 |
Nord-Pas-de-Calais | 1.0 % | 1 |
Pas-de-Calais | 100.0 % | 1 |
Béthune | 100.0 % | 1 |
Canada | 3.8 % | 88 |
Ontario | 53.4 % | 47 |
Toronto Division | 78.7 % | 37 |
Toronto | 100.0 % | 37 |
Ottawa Division | 4.3 % | 2 |
Ottawa | 100.0 % | 2 |
Wellington County | 4.3 % | 2 |
Guelph | 100.0 % | 2 |
Greater Sudbury Division | 2.1 % | 1 |
Sudbury | 100.0 % | 1 |
Haliburton County | 2.1 % | 1 |
Halton Regional Municipality | 2.1 % | 1 |
Oakville | 100.0 % | 1 |
Hamilton Division | 2.1 % | 1 |
Hamilton | 100.0 % | 1 |
Lanark County | 2.1 % | 1 |
Lanark | 100.0 % | 1 |
Niagara Regional Municipality | 2.1 % | 1 |
Grimsby | 100.0 % | 1 |
Québec | 25.0 % | 22 |
Communauté-Urbaine-de-Montréal | 86.4 % | 19 |
Montréal | 100.0 % | 19 |
Champlain | 4.5 % | 1 |
Brossard | 100.0 % | 1 |
Communauté-Urbaine-de-l'Outaouais | 4.5 % | 1 |
Gatineau | 100.0 % | 1 |
Les Pays-d'en-Haut | 4.5 % | 1 |
Estérel | 100.0 % | 1 |
British Columbia | 11.4 % | 10 |
Greater Vancouver | 100.0 % | 10 |
Vancouver | 80.0 % | 8 |
Bowen Island | 10.0 % | 1 |
North Vancouver | 10.0 % | 1 |
Alberta | 4.5 % | 4 |
Division No. 6 | 75.0 % | 3 |
Calgary | 100.0 % | 3 |
Division No. 11 | 25.0 % | 1 |
Edmonton | 100.0 % | 1 |
Saskatchewan | 2.3 % | 2 |
Division No. 11 | 100.0 % | 2 |
Saskatoon | 100.0 % | 2 |
New Brunswick | 1.1 % | 1 |
York County | 100.0 % | 1 |
Fredericton | 100.0 % | 1 |
Newfoundland and Labrador | 1.1 % | 1 |
Division No. 1 | 100.0 % | 1 |
Winterton | 100.0 % | 1 |
Nova Scotia | 1.1 % | 1 |
Halifax Regional Municipality | 100.0 % | 1 |
Halifax | 100.0 % | 1 |
Italy | 3.1 % | 73 |
Lombardia | 34.2 % | 25 |
Città Metropolitana di Milano | 72.0 % | 18 |
Milano | 94.4 % | 17 |
Pioltello | 5.6 % | 1 |
Provincia di Brescia | 8.0 % | 2 |
Other | 50.0 % | 1 |
Sirmione | 50.0 % | 1 |
Provincia di Bergamo | 4.0 % | 1 |
Provincia di Como | 4.0 % | 1 |
Mariano Comense | 100.0 % | 1 |
Provincia di Cremona | 4.0 % | 1 |
Pandino | 100.0 % | 1 |
Provincia di Lecco | 4.0 % | 1 |
Nibionno | 100.0 % | 1 |
Provincia di Sondrio | 4.0 % | 1 |
Primolo | 100.0 % | 1 |
Veneto | 17.8 % | 13 |
Città Metropolitana di Venezia | 53.8 % | 7 |
Venezia | 100.0 % | 7 |
Provincia di Padova | 15.4 % | 2 |
Other | 50.0 % | 1 |
Padova | 50.0 % | 1 |
Province of Verona | 7.7 % | 1 |
Provincia di Treviso | 7.7 % | 1 |
Croce D'oro | 100.0 % | 1 |
Provincia di Verona | 7.7 % | 1 |
Valeggio Sul Mincio | 100.0 % | 1 |
Provincia di Vicenza | 7.7 % | 1 |
Mure | 100.0 % | 1 |
Lazio | 12.3 % | 9 |
Città Metropolitana di Roma | 100.0 % | 9 |
Roma | 100.0 % | 9 |
Toscana | 9.6 % | 7 |
Città Metropolitana di Firenze | 57.1 % | 4 |
Firenze | 100.0 % | 4 |
Provincia di Arezzo | 14.3 % | 1 |
Provincia di Massa e Carrara | 14.3 % | 1 |
Massa | 100.0 % | 1 |
Provincia di Siena | 14.3 % | 1 |
Siena | 100.0 % | 1 |
Campania | 6.8 % | 5 |
Città Metropolitana di Napoli | 100.0 % | 5 |
Napoli | 60.0 % | 3 |
Other | 20.0 % | 1 |
Pozzuoli | 20.0 % | 1 |
Piemonte | 5.5 % | 4 |
Città Metropolitana di Torino | 100.0 % | 4 |
Torino | 75.0 % | 3 |
Moncalieri | 25.0 % | 1 |
Emilia-Romagna | 4.1 % | 3 |
Città Metropolitana di Bologna | 33.3 % | 1 |
Bologna | 100.0 % | 1 |
Provincia di Modena | 33.3 % | 1 |
Modena | 100.0 % | 1 |
Provincia di Rimini | 33.3 % | 1 |
Rimini | 100.0 % | 1 |
Sardegna | 2.7 % | 2 |
Provincia di Olbia-Tempio | 100.0 % | 2 |
Arzachena | 50.0 % | 1 |
Stagnali | 50.0 % | 1 |
Sicilia | 2.7 % | 2 |
Provincia di Agrigento | 50.0 % | 1 |
Fiumenaro | 100.0 % | 1 |
Provincia di Palermo | 50.0 % | 1 |
Palermo | 100.0 % | 1 |
Liguria | 1.4 % | 1 |
Provincia di Imperia | 100.0 % | 1 |
Sanremo | 100.0 % | 1 |
Piedmont | 1.4 % | 1 |
Province of Asti | 100.0 % | 1 |
Trentino-Alto Adige | 1.4 % | 1 |
Provincia di Bolzano - Alto Adige | 100.0 % | 1 |
San Vigilio | 100.0 % | 1 |
Other | 30.8 % | 738 |
Australia | 2.3 % | 53 |
New South Wales | 58.5 % | 31 |
Port Jackson | 48.4 % | 15 |
Matraville | 16.1 % | 5 |
Other | 9.7 % | 3 |
Collaroy Plateau | 6.5 % | 2 |
Ryde | 6.5 % | 2 |
Awaba | 3.2 % | 1 |
Camden | 3.2 % | 1 |
Dural | 3.2 % | 1 |
Ulladulla | 3.2 % | 1 |
Victoria | 17.0 % | 9 |
Melbourne | 77.8 % | 7 |
Other | 11.1 % | 1 |
Sandringham | 11.1 % | 1 |
Queensland | 7.5 % | 4 |
Airlie Beach | 25.0 % | 1 |
Magnetic Island | 25.0 % | 1 |
Maroochydore | 25.0 % | 1 |
South Mission | 25.0 % | 1 |
South Australia | 7.5 % | 4 |
Adelaide | 75.0 % | 3 |
West Lakes | 25.0 % | 1 |
Western Australia | 5.7 % | 3 |
Hillarys | 33.3 % | 1 |
Parkwood | 33.3 % | 1 |
Perth | 33.3 % | 1 |
Australian Capital Territory | 1.9 % | 1 |
Greenway | 100.0 % | 1 |
Tasmania | 1.9 % | 1 |
México | 2.0 % | 46 |
Distrito Federal | 37.0 % | 17 |
Ciudad de México | 100.0 % | 17 |
Quintana Roo | 17.4 % | 8 |
Benito Juárez | 37.5 % | 3 |
Cancún | 100.0 % | 3 |
Solidaridad | 37.5 % | 3 |
Playa del Carmen | 100.0 % | 3 |
Cozumel | 12.5 % | 1 |
San Miguel | 100.0 % | 1 |
Tulum | 12.5 % | 1 |
Nuevo León | 10.9 % | 5 |
San Pedro Garza García | 60.0 % | 3 |
San Pedro Garza García | 100.0 % | 3 |
Guadalupe | 20.0 % | 1 |
Guadalupe | 100.0 % | 1 |
San Nicolás de los Garza | 20.0 % | 1 |
San Nicolás de los Garza | 100.0 % | 1 |
Chihuahua | 6.5 % | 3 |
Juárez | 100.0 % | 3 |
Juárez | 100.0 % | 3 |
Jalisco | 4.3 % | 2 |
Guadalajara | 50.0 % | 1 |
Guadalajara | 100.0 % | 1 |
Zapopan | 50.0 % | 1 |
Zapopán | 100.0 % | 1 |
Oaxaca | 4.3 % | 2 |
Oaxaca de Juárez | 100.0 % | 2 |
Oaxaca | 100.0 % | 2 |
Baja California | 2.2 % | 1 |
Municipio de Tijuana | 100.0 % | 1 |
Chiapas | 2.2 % | 1 |
Tuxtla Gutiérrez | 100.0 % | 1 |
Tuxtla Gutiérrez | 100.0 % | 1 |
Guanajuato | 2.2 % | 1 |
Irapuato | 100.0 % | 1 |
Irapuato | 100.0 % | 1 |
Hidalgo | 2.2 % | 1 |
Acaxochitlán | 100.0 % | 1 |
Morelos | 2.2 % | 1 |
Cuernavaca | 100.0 % | 1 |
Cuernavaca | 100.0 % | 1 |
Sinaloa | 2.2 % | 1 |
El Fuerte | 100.0 % | 1 |
Sonora | 2.2 % | 1 |
Hermosillo | 100.0 % | 1 |
Hermosillo | 100.0 % | 1 |
Tamaulipas | 2.2 % | 1 |
Ciudad Madero | 100.0 % | 1 |
Ciudad Madero | 100.0 % | 1 |
Veracruz | 2.2 % | 1 |
Veracruz | 100.0 % | 1 |
Germany | 1.8 % | 42 |
Berlin | 38.1 % | 16 |
Berlin | 100.0 % | 16 |
Bayern | 19.0 % | 8 |
Oberbayern | 75.0 % | 6 |
München | 100.0 % | 6 |
Mittelfranken | 12.5 % | 1 |
Herzogenaurach | 100.0 % | 1 |
Schwaben | 12.5 % | 1 |
Augsburg | 100.0 % | 1 |
Nordrhein-Westfalen | 14.3 % | 6 |
Düsseldorf | 66.7 % | 4 |
Düsseldorf | 50.0 % | 2 |
Kempen | 25.0 % | 1 |
Wuppertal | 25.0 % | 1 |
Köln | 33.3 % | 2 |
Köln | 100.0 % | 2 |
Hamburg | 7.1 % | 3 |
Hamburg | 100.0 % | 3 |
Bavaria | 4.8 % | 2 |
Middle Franconia | 50.0 % | 1 |
Nuremberg | 100.0 % | 1 |
Upper Bavaria | 50.0 % | 1 |
Grainau | 100.0 % | 1 |
Sachsen | 4.8 % | 2 |
Dresden | 50.0 % | 1 |
Dresden | 100.0 % | 1 |
Leipzig | 50.0 % | 1 |
Leipzig | 100.0 % | 1 |
Brandenburg | 2.4 % | 1 |
Potsdam | 100.0 % | 1 |
Niedersachsen | 2.4 % | 1 |
Loxstedt | 100.0 % | 1 |
North Rhine-Westphalia | 2.4 % | 1 |
Arnsberg | 100.0 % | 1 |
Dortmund | 100.0 % | 1 |
Sachsen-Anhalt | 2.4 % | 1 |
Magdeburg | 100.0 % | 1 |
Schleswig-Holstein | 2.4 % | 1 |
Sylt | 100.0 % | 1 |
Brazil | 1.7 % | 39 |
São Paulo | 53.8 % | 21 |
São Paulo | 76.2 % | 16 |
São Paulo | 100.0 % | 16 |
Guarujá | 4.8 % | 1 |
Guarujá | 100.0 % | 1 |
Monte Aprazível | 4.8 % | 1 |
Monte Aprazível | 100.0 % | 1 |
Ribeirão Preto | 4.8 % | 1 |
Ribeirão Preto | 100.0 % | 1 |
São José do Rio Preto | 4.8 % | 1 |
São José do Rio Preto | 100.0 % | 1 |
Ubatuba | 4.8 % | 1 |
Ubatuba | 100.0 % | 1 |
Rio de Janeiro | 17.9 % | 7 |
Rio de Janeiro | 71.4 % | 5 |
Rio de Janeiro | 100.0 % | 5 |
Armação dos Búzios | 14.3 % | 1 |
Armação dos Búzios | 100.0 % | 1 |
São João de Meriti | 14.3 % | 1 |
São João de Meriti | 100.0 % | 1 |
Minas Gerais | 5.1 % | 2 |
Camanducaia | 50.0 % | 1 |
Camanducaia | 100.0 % | 1 |
Três Corações | 50.0 % | 1 |
Três Corações | 100.0 % | 1 |
Rio Grande do Sul | 5.1 % | 2 |
Porto Alegre | 50.0 % | 1 |
Porto Alegre | 100.0 % | 1 |
Venâncio Aires | 50.0 % | 1 |
Venâncio Aires | 100.0 % | 1 |
Santa Catarina | 5.1 % | 2 |
Blumenau | 50.0 % | 1 |
Blumenau | 100.0 % | 1 |
Rancho Queimado | 50.0 % | 1 |
Águas Mornas | 100.0 % | 1 |
Bahia | 2.6 % | 1 |
Salvador | 100.0 % | 1 |
Salvador | 100.0 % | 1 |
Ceará | 2.6 % | 1 |
Fortaleza | 100.0 % | 1 |
Fortaleza | 100.0 % | 1 |
Goiás | 2.6 % | 1 |
Goiânia | 100.0 % | 1 |
Goiânia | 100.0 % | 1 |
Paraná | 2.6 % | 1 |
Cornélio Procópio | 100.0 % | 1 |
Cornélio Procópio | 100.0 % | 1 |
Sergipe | 2.6 % | 1 |
Simão Dias | 100.0 % | 1 |
Simão Dias | 100.0 % | 1 |
Turkey | 1.0 % | 24 |
İstanbul | 79.2 % | 19 |
Fatih | 68.4 % | 13 |
Istanbul | 100.0 % | 13 |
Ataşehir | 15.8 % | 3 |
Istanbul | 100.0 % | 3 |
Şişli | 10.5 % | 2 |
Maslak Mahallesi | 100.0 % | 2 |
Adalar | 5.3 % | 1 |
Kınalıada Mahallesi | 100.0 % | 1 |
Ankara | 4.2 % | 1 |
Çankaya | 100.0 % | 1 |
Ankara | 100.0 % | 1 |
Antalya | 4.2 % | 1 |
Kepez | 100.0 % | 1 |
Muğla | 4.2 % | 1 |
Marmaris | 100.0 % | 1 |
Marmaris | 100.0 % | 1 |
İzmir | 4.2 % | 1 |
Çeşme | 100.0 % | 1 |
Çesme | 100.0 % | 1 |
İzmir Province | 4.2 % | 1 |
Konak | 100.0 % | 1 |
Izmir | 100.0 % | 1 |
Ireland | 1.0 % | 23 |
Dublin | 78.3 % | 18 |
Dublin City | 94.4 % | 17 |
Dublin | 100.0 % | 17 |
Fingal | 5.6 % | 1 |
Dublin | 100.0 % | 1 |
Cork | 8.7 % | 2 |
Kilworth | 50.0 % | 1 |
Mallow | 50.0 % | 1 |
Galway | 8.7 % | 2 |
Galway City | 100.0 % | 2 |
Galway | 100.0 % | 2 |
Offaly | 4.3 % | 1 |
Argentina | 0.9 % | 20 |
Ciudad Autónoma de Buenos Aires | 45.0 % | 9 |
Comuna 1 | 88.9 % | 8 |
Buenos Aires | 100.0 % | 8 |
Comuna 15 | 11.1 % | 1 |
Buenos Aires | 100.0 % | 1 |
Buenos Aires | 20.0 % | 4 |
Vicente López | 50.0 % | 2 |
Olivos | 100.0 % | 2 |
La Plata | 25.0 % | 1 |
City Bell | 100.0 % | 1 |
Tandil | 25.0 % | 1 |
Tandil | 100.0 % | 1 |
Córdoba | 15.0 % | 3 |
Capital | 100.0 % | 3 |
Córdoba | 100.0 % | 3 |
Chubut | 5.0 % | 1 |
Rawson | 100.0 % | 1 |
Playa Unión | 100.0 % | 1 |
Entre Ríos | 5.0 % | 1 |
Diamante | 100.0 % | 1 |
Santa Fe | 5.0 % | 1 |
Rosario | 100.0 % | 1 |
Rosario | 100.0 % | 1 |
Tucumán | 5.0 % | 1 |
Capital | 100.0 % | 1 |
San Miguel de Tucumán | 100.0 % | 1 |
Russia | 0.8 % | 19 |
Moscow | 52.6 % | 10 |
gorod Moskva | 100.0 % | 10 |
Moscow | 100.0 % | 10 |
Belgorodskaya oblast' | 5.3 % | 1 |
gorod Belgorod | 100.0 % | 1 |
Belgorod | 100.0 % | 1 |
Krasnodarskiy kray | 5.3 % | 1 |
gorod Gelendzhik | 100.0 % | 1 |
Gelendzhik | 100.0 % | 1 |
Moskovskaya oblast' | 5.3 % | 1 |
Щелковский | 100.0 % | 1 |
Grebnevo | 100.0 % | 1 |
Respublika Bashkortostan | 5.3 % | 1 |
Sterlitamakskiy rayon | 100.0 % | 1 |
Sterlitamak | 100.0 % | 1 |
Respublika Tatarstan | 5.3 % | 1 |
gorod Kazan' | 100.0 % | 1 |
Kazan | 100.0 % | 1 |
Saint Petersburg | 5.3 % | 1 |
gorod Sankt-Peterburg | 100.0 % | 1 |
Sankt-Peterburg | 100.0 % | 1 |
Saratovskaya oblast' | 5.3 % | 1 |
gorod Saratov | 100.0 % | 1 |
Saratov | 100.0 % | 1 |
Sverdlovskaya oblast' | 5.3 % | 1 |
gorod Ekaterinburg | 100.0 % | 1 |
Yekaterinburg | 100.0 % | 1 |
Tulskaya oblast' | 5.3 % | 1 |
Suvorovskiy rayon | 100.0 % | 1 |
Suvorov | 100.0 % | 1 |
Greece | 0.7 % | 17 |
Attica | 35.3 % | 6 |
Athens | 83.3 % | 5 |
Other | 16.7 % | 1 |
Makedonia Thraki | 29.4 % | 5 |
Kentriki Makedonia | 80.0 % | 4 |
Other | 50.0 % | 2 |
Thessaloniki | 50.0 % | 2 |
East Macedonia and Thrace | 20.0 % | 1 |
Egeo | 23.5 % | 4 |
Southern Aegean | 100.0 % | 4 |
Crete | 5.9 % | 1 |
Heraklion | 100.0 % | 1 |
Peloponnisos Dytiki Ellada ke Ionio | 5.9 % | 1 |
Western Greece | 100.0 % | 1 |
Netherlands | 0.6 % | 15 |
Noord-Holland | 53.3 % | 8 |
Amsterdam | 87.5 % | 7 |
Amsterdam | 100.0 % | 7 |
Haarlem | 12.5 % | 1 |
Haarlem | 100.0 % | 1 |
Zuid-Holland | 26.7 % | 4 |
Den Haag | 50.0 % | 2 |
Den Haag | 100.0 % | 2 |
Rotterdam | 50.0 % | 2 |
Rotterdam | 100.0 % | 2 |
Limburg | 13.3 % | 2 |
Maastricht | 100.0 % | 2 |
Maastricht | 100.0 % | 2 |
Friesland | 6.7 % | 1 |
Achtkarspelen | 100.0 % | 1 |
Twijzel | 100.0 % | 1 |
Portugal | 0.6 % | 15 |
Lisboa | 60.0 % | 9 |
Lisbon | 77.8 % | 7 |
Lisboa | 100.0 % | 7 |
Sintra | 22.2 % | 2 |
Sintra | 100.0 % | 2 |
Lisbon | 13.3 % | 2 |
Cascais | 100.0 % | 2 |
Beja | 6.7 % | 1 |
Odemira | 100.0 % | 1 |
Vila Nova de Milfontes | 100.0 % | 1 |
Faro | 6.7 % | 1 |
Albufeira | 100.0 % | 1 |
Albufeira | 100.0 % | 1 |
Portalegre | 6.7 % | 1 |
Marvão | 100.0 % | 1 |
Marvão | 100.0 % | 1 |
Porto | 6.7 % | 1 |
Porto District | 100.0 % | 1 |
Porto | 100.0 % | 1 |
South Africa | 0.6 % | 15 |
Gauteng | 40.0 % | 6 |
City of Johannesburg Metropolitan Municipality | 100.0 % | 6 |
Johannesburg | 50.0 % | 3 |
Midrand | 16.7 % | 1 |
Sandton | 16.7 % | 1 |
Soweto | 16.7 % | 1 |
KwaZulu-Natal | 26.7 % | 4 |
Durban Metro | 50.0 % | 2 |
Umhlanga | 100.0 % | 2 |
Indlovu DC | 25.0 % | 1 |
Pietermaritzburg | 100.0 % | 1 |
iLembe DC | 25.0 % | 1 |
Dolphin Coast | 100.0 % | 1 |
Western Cape | 20.0 % | 3 |
Cape Town | 100.0 % | 3 |
Cape Town | 100.0 % | 3 |
Eastern Cape | 13.3 % | 2 |
Western District | 100.0 % | 2 |
Nieu-Bethesda | 50.0 % | 1 |
Other | 50.0 % | 1 |
United Arab Emirates | 0.6 % | 15 |
Dubai | 73.3 % | 11 |
Dubai | 100.0 % | 11 |
Abu Dhabi | 20.0 % | 3 |
Other | 66.7 % | 2 |
Abu Dhabi | 100.0 % | 2 |
Al Gharbia | 33.3 % | 1 |
Sharjah | 6.7 % | 1 |
Sharjah | 100.0 % | 1 |
Singapore | 0.6 % | 14 |
Other | 100.0 % | 14 |
Singapore | 100.0 % | 14 |
Belgium | 0.6 % | 13 |
Vlaanderen | 38.5 % | 5 |
Antwerpen | 40.0 % | 2 |
Antwerpen | 100.0 % | 2 |
Oost-Vlaanderen | 20.0 % | 1 |
Gent | 100.0 % | 1 |
Vlaams-Brabant | 20.0 % | 1 |
Sint-Pieters-Leeuw | 100.0 % | 1 |
West-Vlaanderen | 20.0 % | 1 |
Brugge | 100.0 % | 1 |
Bruxelles | 30.8 % | 4 |
Bruxelles | 100.0 % | 4 |
Région wallonne | 30.8 % | 4 |
Liège | 50.0 % | 2 |
Liège | 100.0 % | 2 |
Brabant Wallon | 25.0 % | 1 |
Ottignies-Louvain-la-Neuve | 100.0 % | 1 |
Hainaut | 25.0 % | 1 |
Enghien | 100.0 % | 1 |
Indonesia | 0.6 % | 13 |
Daerah Khusus Ibukota Jakarta | 61.5 % | 8 |
Kota Jakarta Pusat | 62.5 % | 5 |
Kota Jakarta Selatan | 37.5 % | 3 |
Bali | 23.1 % | 3 |
Gianyar | 66.7 % | 2 |
Kabupaten Badung | 33.3 % | 1 |
Daerah Istimewa Yogyakarta | 7.7 % | 1 |
Kota Yogyakarta | 100.0 % | 1 |
West Java | 7.7 % | 1 |
West Bandung Regency | 100.0 % | 1 |
Colombia | 0.4 % | 10 |
Antioquia | 40.0 % | 4 |
Medellín | 75.0 % | 3 |
Medellín | 100.0 % | 3 |
Rionegro | 25.0 % | 1 |
Bogotá | 30.0 % | 3 |
Bogotá | 100.0 % | 3 |
Bolívar | 10.0 % | 1 |
Cartagena | 100.0 % | 1 |
Cartagena | 100.0 % | 1 |
Casanare | 10.0 % | 1 |
Yopal | 100.0 % | 1 |
Yopal | 100.0 % | 1 |
Santander | 10.0 % | 1 |
Barrancabermeja | 100.0 % | 1 |
Barrancabermeja | 100.0 % | 1 |
India | 0.4 % | 10 |
Delhi | 20.0 % | 2 |
New Delhi | 50.0 % | 1 |
New Delhi | 100.0 % | 1 |
South Delhi | 50.0 % | 1 |
New Delhi | 100.0 % | 1 |
Gujarat | 20.0 % | 2 |
Ahmedabad | 100.0 % | 2 |
Ahmedabad | 100.0 % | 2 |
Rajasthan | 20.0 % | 2 |
Jodhpur | 50.0 % | 1 |
Jodhpur | 100.0 % | 1 |
Udaipur | 50.0 % | 1 |
Udaipur | 100.0 % | 1 |
Bihar | 10.0 % | 1 |
Patna | 100.0 % | 1 |
Patna | 100.0 % | 1 |
Himachal Pradesh | 10.0 % | 1 |
Mandi | 100.0 % | 1 |
Sundernagar | 100.0 % | 1 |
Maharashtra | 10.0 % | 1 |
Thane | 100.0 % | 1 |
Mira Bhayandar | 100.0 % | 1 |
Uttar Pradesh | 10.0 % | 1 |
Bulandshahar | 100.0 % | 1 |
Siyana | 100.0 % | 1 |
Norway | 0.4 % | 10 |
Oslo | 60.0 % | 6 |
Hedmark | 10.0 % | 1 |
Åmot | 100.0 % | 1 |
Rogaland | 10.0 % | 1 |
Sandnes | 100.0 % | 1 |
Sandnes | 100.0 % | 1 |
Sogn og Fjordane | 10.0 % | 1 |
Lærdal | 100.0 % | 1 |
Sør-Trøndelag | 10.0 % | 1 |
Trondheim | 100.0 % | 1 |
Trondheim | 100.0 % | 1 |
Croatia | 0.4 % | 9 |
City of Zagreb | 55.6 % | 5 |
Zagreb | 100.0 % | 5 |
Primorsko-goranska županija | 33.3 % | 3 |
Općina Crikvenica | 33.3 % | 1 |
Jadranovo | 100.0 % | 1 |
Općina Mali Lošinj | 33.3 % | 1 |
Susak | 100.0 % | 1 |
Općina Opatija | 33.3 % | 1 |
Poljane | 100.0 % | 1 |
Splitsko-dalmatinska županija | 11.1 % | 1 |
Općina Split | 100.0 % | 1 |
Split | 100.0 % | 1 |
Czech Republic | 0.4 % | 9 |
Hlavní město Praha | 88.9 % | 8 |
Prague | 100.0 % | 8 |
Moravian-Silesian Region | 11.1 % | 1 |
Opava District | 100.0 % | 1 |
Opava | 100.0 % | 1 |
Philippines | 0.4 % | 9 |
Metro Manila | 88.9 % | 8 |
NCR - National Capital Region | 50.0 % | 4 |
Makati | 100.0 % | 4 |
Other | 37.5 % | 3 |
Quezon City | 100.0 % | 3 |
Bulacan | 12.5 % | 1 |
Valenzuela | 100.0 % | 1 |
Cagayan Valley | 11.1 % | 1 |
Isabela | 100.0 % | 1 |
Alicia | 100.0 % | 1 |
Romania | 0.4 % | 9 |
Municipiul București | 66.7 % | 6 |
București | 100.0 % | 6 |
Constanța County | 11.1 % | 1 |
Constanta | 100.0 % | 1 |
Constanța | 100.0 % | 1 |
Județul Cluj | 11.1 % | 1 |
Municipiul Cluj - Napoca | 100.0 % | 1 |
Cluj-Napoca | 100.0 % | 1 |
Județul Timiș | 11.1 % | 1 |
Municipiul Timișoara | 100.0 % | 1 |
Timișoara | 100.0 % | 1 |
Thailand | 0.4 % | 9 |
Krung Thep Maha Nakhon | 44.4 % | 4 |
Bangkok | 100.0 % | 4 |
Chang Wat Surat Thani | 22.2 % | 2 |
Amphoe Ko Samui | 100.0 % | 2 |
Ko Samui | 100.0 % | 2 |
Chang Wat Chiang Mai | 11.1 % | 1 |
Amphoe Mueang Chiang Mai | 100.0 % | 1 |
Chang Wat Nakhon Sawan | 11.1 % | 1 |
Amphoe Mueang Nakhon Sawan | 100.0 % | 1 |
Nakhon Sawan | 100.0 % | 1 |
Chang Wat Phuket | 11.1 % | 1 |
Amphoe Mueang Phuket | 100.0 % | 1 |
Tambon Chalong | 100.0 % | 1 |
Taiwan | 0.3 % | 8 |
New Taipei City | 37.5 % | 3 |
Taipei City | 25.0 % | 2 |
Taiwan Province | 25.0 % | 2 |
Taoyuan City | 12.5 % | 1 |
Austria | 0.3 % | 7 |
Wien | 85.7 % | 6 |
Wien | 100.0 % | 6 |
Kärnten | 14.3 % | 1 |
Klagenfurt-Land | 100.0 % | 1 |
Reifnitz | 100.0 % | 1 |
Hong Kong | 0.3 % | 7 |
Hong Kong Island | 85.7 % | 6 |
Southern District | 100.0 % | 6 |
Hong Kong | 100.0 % | 6 |
New Territories | 14.3 % | 1 |
Kwai Tsing District | 100.0 % | 1 |
Hong Kong | 100.0 % | 1 |
Panamá | 0.3 % | 7 |
Panamá | 100.0 % | 7 |
San Miguelito | 100.0 % | 7 |
Panamá | 100.0 % | 7 |
Chile | 0.3 % | 6 |
Región Metropolitana | 83.3 % | 5 |
Santiago | 100.0 % | 5 |
Las Condes | 60.0 % | 3 |
Santiago | 40.0 % | 2 |
Región del Bío Bío | 16.7 % | 1 |
Concepcion | 100.0 % | 1 |
Concepción | 100.0 % | 1 |
Egypt | 0.3 % | 6 |
Giza Governorate | 50.0 % | 3 |
Giza | 100.0 % | 3 |
Cairo Governorate | 33.3 % | 2 |
El-Zaytoun | 50.0 % | 1 |
Other | 50.0 % | 1 |
Ismailia Governorate | 16.7 % | 1 |
Ismailia | 100.0 % | 1 |
Ismaïlia | 100.0 % | 1 |
Japan | 0.3 % | 6 |
Tōkyō-to | 50.0 % | 3 |
Sumida-ku | 66.7 % | 2 |
Shibuya-ku | 33.3 % | 1 |
Ishikawa-ken | 16.7 % | 1 |
Kanazawa-shi | 100.0 % | 1 |
Kanagawa Prefecture | 16.7 % | 1 |
Fujisawa | 100.0 % | 1 |
Kyoto Prefecture | 16.7 % | 1 |
Kyoto | 100.0 % | 1 |
New Zealand | 0.3 % | 6 |
Auckland | 66.7 % | 4 |
Auckland | 100.0 % | 4 |
Canterbury | 16.7 % | 1 |
Christchurch City | 100.0 % | 1 |
Christchurch | 100.0 % | 1 |
Otago | 16.7 % | 1 |
Queenstown Lakes District | 100.0 % | 1 |
Wanaka | 100.0 % | 1 |
Perú | 0.3 % | 6 |
Lima | 50.0 % | 3 |
Lima | 100.0 % | 3 |
Arequipa | 16.7 % | 1 |
Arequipa | 100.0 % | 1 |
Cuzco | 16.7 % | 1 |
Cusco | 100.0 % | 1 |
Other | 16.7 % | 1 |
Lima | 100.0 % | 1 |
Miraflores | 100.0 % | 1 |
Poland | 0.3 % | 6 |
małopolskie | 50.0 % | 3 |
Kraków | 100.0 % | 3 |
Kraków | 100.0 % | 3 |
Greater Poland Voivodeship | 33.3 % | 2 |
Poznań County | 100.0 % | 2 |
Poznań | 100.0 % | 2 |
Województwo dolnośląskie | 16.7 % | 1 |
Wrocław | 100.0 % | 1 |
Wrocław | 100.0 % | 1 |
China | 0.2 % | 5 |
Shanghai Shi | 80.0 % | 4 |
Shanghai | 100.0 % | 4 |
Beijing Shi | 20.0 % | 1 |
Beijing | 100.0 % | 1 |
Lebanon | 0.2 % | 5 |
Beirut | 40.0 % | 2 |
North | 40.0 % | 2 |
Batroun | 50.0 % | 1 |
Tripoli | 50.0 % | 1 |
Mount Lebanon | 20.0 % | 1 |
Chouf | 100.0 % | 1 |
Sweden | 0.2 % | 5 |
Stockholm County | 40.0 % | 2 |
Stockholm | 100.0 % | 2 |
Stockholm | 100.0 % | 2 |
Skåne County | 20.0 % | 1 |
Malmö | 100.0 % | 1 |
Malmö | 100.0 % | 1 |
Skåne län | 20.0 % | 1 |
Höör | 100.0 % | 1 |
Västra Götaland County | 20.0 % | 1 |
Göteborg | 100.0 % | 1 |
Gothenburg | 100.0 % | 1 |
Switzerland | 0.2 % | 5 |
Vaud | 40.0 % | 2 |
Lausanne | 50.0 % | 1 |
Lausanne | 100.0 % | 1 |
Nyon | 50.0 % | 1 |
Prangins | 100.0 % | 1 |
Bern | 20.0 % | 1 |
Bern | 100.0 % | 1 |
St. Gallen | 20.0 % | 1 |
Saint Gallen | 100.0 % | 1 |
Ticino | 20.0 % | 1 |
Lugano | 100.0 % | 1 |
Melide | 100.0 % | 1 |
Ukraine | 0.2 % | 5 |
Kyiv city | 80.0 % | 4 |
Kyiv City | 100.0 % | 4 |
Kyiv | 100.0 % | 4 |
Odessa Oblast | 20.0 % | 1 |
Odesa | 100.0 % | 1 |
Finland | 0.2 % | 4 |
Uusimaa | 100.0 % | 4 |
Helsinki | 100.0 % | 4 |
Guatemala | 0.2 % | 4 |
Guatemala | 50.0 % | 2 |
Guatemala | 100.0 % | 2 |
Sacatepéquez | 50.0 % | 2 |
Antigua Guatemala | 100.0 % | 2 |
Hungary | 0.2 % | 4 |
Budapest | 100.0 % | 4 |
Budapest | 100.0 % | 4 |
Iceland | 0.2 % | 4 |
West | 50.0 % | 2 |
Capital Region | 100.0 % | 2 |
Reykjavík | 100.0 % | 2 |
East | 25.0 % | 1 |
Northeast | 25.0 % | 1 |
Akureyri | 100.0 % | 1 |
Iran | 0.2 % | 4 |
Tehran | 50.0 % | 2 |
Shemiranat | 50.0 % | 1 |
Tehran | 100.0 % | 1 |
Tehran | 50.0 % | 1 |
Tehran | 100.0 % | 1 |
Khorasan Razavi | 25.0 % | 1 |
Mashhad | 100.0 % | 1 |
Mazandaran | 25.0 % | 1 |
Filband | 100.0 % | 1 |
Israel | 0.2 % | 4 |
Tel Aviv District | 75.0 % | 3 |
Tel Aviv-Yafo | 100.0 % | 3 |
South District | 25.0 % | 1 |
Be'er Sheva | 100.0 % | 1 |
Malaysia | 0.2 % | 4 |
Kedah | 25.0 % | 1 |
Langkawi | 100.0 % | 1 |
Perak | 25.0 % | 1 |
Bagan Serai | 100.0 % | 1 |
Selangor | 25.0 % | 1 |
Petaling Jaya | 100.0 % | 1 |
Wilayah Persekutuan Kuala Lumpur | 25.0 % | 1 |
Kuala Lumpur | 100.0 % | 1 |
Maldives | 0.2 % | 4 |
North Central Province | 100.0 % | 4 |
Alifu Dhaalu Atoll | 50.0 % | 2 |
Maamigili | 50.0 % | 1 |
Other | 50.0 % | 1 |
Kaafu Atoll | 50.0 % | 2 |
Paraguay | 0.2 % | 4 |
Central | 100.0 % | 4 |
Lambare | 75.0 % | 3 |
Asunción | 100.0 % | 3 |
Other | 25.0 % | 1 |
Luque | 100.0 % | 1 |
Venezuela | 0.2 % | 4 |
Carabobo | 25.0 % | 1 |
Municipio Puerto Cabello | 100.0 % | 1 |
Puerto Cabello | 100.0 % | 1 |
Distrito Capital | 25.0 % | 1 |
Libertador | 100.0 % | 1 |
Caracas | 100.0 % | 1 |
Vargas | 25.0 % | 1 |
Maiquetía | 100.0 % | 1 |
Zulia | 25.0 % | 1 |
Maracaibo | 100.0 % | 1 |
Maracaibo | 100.0 % | 1 |
Bulgaria | 0.1 % | 3 |
Sofia-city | 66.7 % | 2 |
Sofia | 100.0 % | 2 |
Pancharevo | 50.0 % | 1 |
Sofia | 50.0 % | 1 |
Sofiyska oblast | 33.3 % | 1 |
Svoge | 100.0 % | 1 |
Zasele | 100.0 % | 1 |
Jamaica | 0.1 % | 3 |
Manchester Parish | 33.3 % | 1 |
Saint James Parish | 33.3 % | 1 |
Westmoreland Parish | 33.3 % | 1 |
Negril | 100.0 % | 1 |
Lithuania | 0.1 % | 3 |
Vilniaus apskritis | 66.7 % | 2 |
Vilniaus miesto savivaldybė | 100.0 % | 2 |
Vilnius | 100.0 % | 2 |
Klaipėdos apskritis | 33.3 % | 1 |
Palangos miesto savivaldybė | 100.0 % | 1 |
Palanga | 100.0 % | 1 |
Monaco | 0.1 % | 3 |
Other | 100.0 % | 3 |
Monaco | 100.0 % | 3 |
Morocco | 0.1 % | 3 |
Marrakech-Tensift-Al Haouz | 66.7 % | 2 |
Marrakech | 100.0 % | 2 |
Marrakech | 100.0 % | 2 |
Oriental | 33.3 % | 1 |
Berkane Province | 100.0 % | 1 |
Saïdia | 100.0 % | 1 |
República Dominicana | 0.1 % | 3 |
Distrito Nacional | 66.7 % | 2 |
Los Alcarrizos | 100.0 % | 2 |
Santo Domingo | 100.0 % | 2 |
La Romana | 33.3 % | 1 |
La Romana | 100.0 % | 1 |
Saint-Barthélemy | 0.1 % | 3 |
Other | 100.0 % | 3 |
Serbia | 0.1 % | 3 |
Vojvodina | 66.7 % | 2 |
City of Belgrade | 50.0 % | 1 |
Belgrade | 100.0 % | 1 |
Južnobački okrug | 50.0 % | 1 |
Novi Sad | 100.0 % | 1 |
Other | 33.3 % | 1 |
Borski okrug | 100.0 % | 1 |
Negotin | 100.0 % | 1 |
Slovakia | 0.1 % | 3 |
Bratislava Region | 100.0 % | 3 |
Bratislava I | 66.7 % | 2 |
Senec District | 33.3 % | 1 |
Chorvátsky Grob | 100.0 % | 1 |
South Korea | 0.1 % | 3 |
Seoul | 100.0 % | 3 |
Seoul | 100.0 % | 3 |
Costa Rica | 0.1 % | 2 |
Guanacaste | 50.0 % | 1 |
San José | 50.0 % | 1 |
San Rafael de Escazu | 100.0 % | 1 |
Cyprus | 0.1 % | 2 |
Paphos | 50.0 % | 1 |
Paphos | 100.0 % | 1 |
Λεμεσός | 50.0 % | 1 |
Limasol | 100.0 % | 1 |
Denmark | 0.1 % | 2 |
Capital Region of Denmark | 50.0 % | 1 |
København | 100.0 % | 1 |
Copenhagen | 100.0 % | 1 |
Region Syddanmark | 50.0 % | 1 |
Odense Municipality | 100.0 % | 1 |
Odense | 100.0 % | 1 |
Estados Unidos | 0.1 % | 2 |
Texas | 100.0 % | 2 |
Cameron County | 100.0 % | 2 |
Brownsville | 50.0 % | 1 |
Harlingen | 50.0 % | 1 |
Latvia | 0.1 % | 2 |
Cēsis Municipality | 50.0 % | 1 |
Cēsu pilsēta | 100.0 % | 1 |
Cēsis | 100.0 % | 1 |
Jelgava Municipality | 50.0 % | 1 |
Vilces pagasts | 100.0 % | 1 |
Vilce | 100.0 % | 1 |
Other | 0.1 % | 2 |
Other | 100.0 % | 2 |
Qatar | 0.1 % | 2 |
Al Rayyan | 50.0 % | 1 |
Dukhan | 100.0 % | 1 |
Doha | 50.0 % | 1 |
Doha | 100.0 % | 1 |
Slovenia | 0.1 % | 2 |
Celje | 50.0 % | 1 |
Celje | 100.0 % | 1 |
Ljubljana | 50.0 % | 1 |
Ljubljana | 100.0 % | 1 |
Uruguay | 0.1 % | 2 |
Canelones | 50.0 % | 1 |
Departamento de Montevideo | 50.0 % | 1 |
Montevideo | 100.0 % | 1 |
Vietnam | 0.1 % | 2 |
Hồ Chí Minh | 50.0 % | 1 |
Quận 1 | 100.0 % | 1 |
Ho Chi Minh City | 100.0 % | 1 |
Đà Nẵng | 50.0 % | 1 |
Da Nang | 100.0 % | 1 |
Zimbabwe | 0.1 % | 2 |
Harare | 100.0 % | 2 |
Harare | 100.0 % | 2 |
Albania | 0.0 % | 1 |
Other | 100.0 % | 1 |
Durrës | 100.0 % | 1 |
Azerbaijan | 0.0 % | 1 |
Other | 100.0 % | 1 |
Bakı | 100.0 % | 1 |
Bakı | 100.0 % | 1 |
Bangladesh | 0.0 % | 1 |
Dhaka Division | 100.0 % | 1 |
Dhaka | 100.0 % | 1 |
Dhaka | 100.0 % | 1 |
Barbados | 0.0 % | 1 |
Saint Michael | 100.0 % | 1 |
Bridgetown | 100.0 % | 1 |
Belarus | 0.0 % | 1 |
Minskaja voblasć | 100.0 % | 1 |
Minski rajon | 100.0 % | 1 |
Minsk | 100.0 % | 1 |
Bolivia | 0.0 % | 1 |
Santa Cruz | 100.0 % | 1 |
Provincia de Andrés Ibáñez | 100.0 % | 1 |
Santa Cruz de la Sierra | 100.0 % | 1 |
Cambodia | 0.0 % | 1 |
Siem Reap | 100.0 % | 1 |
Krong Siem Reap | 100.0 % | 1 |
Caribbean Netherlands | 0.0 % | 1 |
Bonaire | 100.0 % | 1 |
Kralendijk | 100.0 % | 1 |
Cuba | 0.0 % | 1 |
La Habana | 100.0 % | 1 |
La Habana Vieja | 100.0 % | 1 |
La Habana | 100.0 % | 1 |
Ecuador | 0.0 % | 1 |
Pichincha | 100.0 % | 1 |
Distrito Metropolitano de Quito | 100.0 % | 1 |
Estonia | 0.0 % | 1 |
Lääne maakond | 100.0 % | 1 |
Haapsalu linn | 100.0 % | 1 |
Haapsalu | 100.0 % | 1 |
Francia | 0.0 % | 1 |
Languedoc-Roussillon | 100.0 % | 1 |
Pyrénées-Orientales | 100.0 % | 1 |
Collioure | 100.0 % | 1 |
Guadeloupe | 0.0 % | 1 |
Pointe-à-Pitre | 100.0 % | 1 |
Le Gosier | 100.0 % | 1 |
Mare Gailard | 100.0 % | 1 |
Honduras | 0.0 % | 1 |
Francisco Morazán | 100.0 % | 1 |
Tegucigalpa | 100.0 % | 1 |
Kuwait | 0.0 % | 1 |
Al Asimah | 100.0 % | 1 |
Kuwait City | 100.0 % | 1 |
Laos | 0.0 % | 1 |
Louangphabang | 100.0 % | 1 |
Luang Prabang | 100.0 % | 1 |
Luxembourg | 0.0 % | 1 |
Luxembourg | 100.0 % | 1 |
Luxembourg | 100.0 % | 1 |
Moldova | 0.0 % | 1 |
Chișinău | 100.0 % | 1 |
Chişinău | 100.0 % | 1 |
Nigeria | 0.0 % | 1 |
Oyo | 100.0 % | 1 |
Ibadan | 100.0 % | 1 |
Puerto Rico | 0.0 % | 1 |
Carolina | 100.0 % | 1 |
Carolina | 100.0 % | 1 |
Saudi Arabia | 0.0 % | 1 |
Makkah Province | 100.0 % | 1 |
Jeddah | 100.0 % | 1 |
Sint Maarten | 0.0 % | 1 |
Sint Maarten | 100.0 % | 1 |
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You don't need a girlfriends guide you need a good girlfriend! I launched streaming with my best buds a year ago and in the spirit of making new friends and keeping the old this years contest is 33 days of best buddy love. To enter the #GYBG challenge make sure you are signed up to get my newsletter. Tomorrow I will send out all of the details and why this challenge will help you start 2016 off healthier than ever but to get you ready. 1. Find a friend to go through the 33 day #GYBG challenge with. This is your chance to get one of your friends who might never want to workout streaming with you because tomorrow night that friend will be able to purchase 33days of streaming to join in the #GYBG fun for a prize not as good as friendship but still prizes are FUN!!! 2. You can also pick a friend who is currently streaming FYI 3. In order to be entered to win the "Got Your Back Girl" Challenge you and your friend must participate each day for 33 days starting Wed Jan 6, 2016. So make sure you partner up with one close pal you commit to showing up to for 33 days. It can be someone you know well or you want to get to know better. 4. After showing up for your work out each day through #TARealtime, you and your partner need to show up for each other by posting in correspondence to the creative challenge I post for you to follow. Each day I will post a new friend challenge (don't worry it doesn't take a lot of time) 5. Make sure that both you and your partner are following @tracyandersonmethod, you tag my handle and one another in each post, and you include our #GYBG hashtag. 6. The newsletter will have a menu component in it if you chose to do that you can but all that is mandatory is that you show up for beginner or advanced streaming for 33 days and you show up for your friend challenge for 33 days. 7. The friends that complete the 33 days to perfection will all win a gift from me.😊 33 days of friendship gratitude and health to start 2016 off right💓 |
1042 | 464 | 5682 | #gybg, #tarealtime | 1451840500 03 de enero de 2016 18:01 +0100 | |
Cooling down the sweatiest sweat! TriBeCa ⭐️⭐️⭐️ |
1958 | 236 | 4318 | 1452996383 17 de enero de 2016 03:06 +0100 | ||
2661 | 90 | 3561 | 1451062661 25 de diciembre de 2015 17:57 +0100 | |||
1693 | 150 | 3193 | 1453088272 18 de enero de 2016 04:37 +0100 | |||
Clara one minute and the Sugar Plum Fairy the next awaiting her cookie baking friends holiday cast!✨🎄❤️❄️ |
2246 | 67 | 2916 | 1450736316 21 de diciembre de 2015 23:18 +0100 | ||
1747 | 116 | 2907 | 1452563412 12 de enero de 2016 02:50 +0100 | |||
Thanks @rachelzoe for giving me slides in your @thezoereport coolness. Check them out https://thezoereport.com/living/wellness/tracy-andersons-tips-for-getting-healthy-2016/#slide-1 |
1794 | 100 | 2794 | #slide | 1451326933 28 de diciembre de 2015 19:22 +0100 | |
Happy first #caturday 2016 🐱 |
1603 | 96 | 2563 | #caturday | 1451764255 02 de enero de 2016 20:50 +0100 | |
1522 | 91 | 2432 | 1451779113 03 de enero de 2016 00:58 +0100 | |||
Enjoy ringing in 2016 because starting January 4th I've got special plans for us!💓😉 |
1178 | 112 | 2298 | 1451229414 27 de diciembre de 2015 16:16 +0100 | ||
It's official. Penny married Elsa and BB8. They stand to be the wealthiest power couple in history. 💕 |
1547 | 69 | 2237 | 1452349031 09 de enero de 2016 15:17 +0100 | ||
"I had to resign myself, many years ago, that I'm not too articulate when it comes to explaining how I feel about things. But my music does it for me, it really does." David Bowie
The Universe is forever blessed for your communications. ⚡️⚡️❤️ |
1791 | 37 | 2161 | 1452519457 11 de enero de 2016 14:37 +0100 | ||
For anyone feeling geared up to take this New Year to show up for their health that may have any hesitance about what they can or can't do you should watch this video our incredible @melissarigdon posted this morning. It brought tears to my eyes to see her smile be the same when she was starting out and now after she has lost over 50 pounds on the method. Everyone has challenges and while Melissa's happiness was never about her weight her love for her health and appreciation for life and her trust in me😭💓 has made this past year one incredibly life giving one. In meeting on her journey and being giving to each other we have become great pals who will one day spend a day taking elevators together🙈😉 love you and am so proud of you Melissa! Can't wait to see what 2016 has in store! She owns this body of hers and has not borrowed it from fads or being on and off. She is the perfect example of focus and love. Regram from @melissarigdon |
1286 | 86 | 2146 | 1451572142 31 de diciembre de 2015 15:29 +0100 | ||
1635 | 50 | 2135 | #davidshrigley | 1453122022 18 de enero de 2016 14:00 +0100 | ||
1028 | 108 | 2108 | #tamily, #blessed | 1450722564 21 de diciembre de 2015 19:29 +0100 | ||
Ok my #GYBG #Tamily and beyond! Here. It. Is. As we enter a new week of #TARealtime today which move last week made your #GYBG proud to master? ❤️❤️❤️ |
1153 | 95 | 2103 | #gybg, #tarealtime, #tamily | 1452724204 13 de enero de 2016 23:30 +0100 | |
@garyhershorn your NYC sunset is magic 💛 |
1597 | 29 | 1887 | 1451873959 04 de enero de 2016 03:19 +0100 | ||
Day 1: " I love my #GYBG more than ______________." In my case an ice cream sundae with Mc Connells Double Peanut Butter Chip ice cream with lots of chocolate syrup but @sallypr81 @jennikonner @crystalmeers @mylastsupper and the entire #Tamily I 💓you so much more! |
761 | 99 | 1751 | #gybg, #tamily | 1452089260 06 de enero de 2016 15:07 +0100 | |
Thank you so much @barnesandnoble for celebrating my new DVD which is technically DVD 170! Wow! Thank you to my amazing sister Kyley and our Anchor Bay team for clearing the road blocks between me and my clients and letting me give them all of the content they need! So great meeting so many of you face to face! ❤️💙💚 |
1107 | 55 | 1657 | 1452969291 16 de enero de 2016 19:34 +0100 | ||
Look what I got!!!! A #GYBG T-shirt from @a_s_k_mcmachan in the flesh! I do believe✨💚 |
1055 | 56 | 1615 | #gybg | 1453073551 18 de enero de 2016 00:32 +0100 | |
❤️🕊 #MLK |
1467 | 12 | 1587 | #mlk | 1453158779 19 de enero de 2016 00:12 +0100 | |
Day 2 #GYBG challenge. My theme song for my #GYBG is _______________? For me any remix of My Love by @justintimberlake is my #GYBG @gwynethpaltrow theme song for sure! I would have my #GYBG and DJ @evanleebreed put on I Got Skills by @mozesandthefirstborn for all of my girls any day! @sallypr81 @crystalmeers @mylastsupper I know you agree @jennikonner 💓💓💓 |
840 | 74 | 1580 | #gybg | 1452180804 07 de enero de 2016 16:33 +0100 | |
Calvin: "Why waste time learning, when ignorance
is instantaneous?” Calvin and Hobbes❤️ |
1099 | 47 | 1569 | 1452689171 13 de enero de 2016 13:46 +0100 | ||
674 | 84 | 1514 | 1452643161 13 de enero de 2016 00:59 +0100 | |||
I met my #GYBG ________________? When you do things right the most beautiful blossoms bloom! I met @jennikonner @sallypr81 @crystalmeers @mylastsupper all in very special ways through my workout. Today one west coast #Tamily group surprised me in my master class and I can tell you it felt like a bud bloomed right there in the class! Lucky me thank you! @fairyhouse77
@birmi2 @amystan5 @laurenwaskewicz @maebella23 you gals made my day! @maebella23 @stevenbeltrani and I may be eating your chocolate you brought me from Japan in the car!!!!!❤️❤️❤️ |
774 | 63 | 1404 | #gybg, #tamily | 1452454482 10 de enero de 2016 20:34 +0100 | |
In this weeks #tamilytale the sun☀️is shinning straight from the soul of @monica_duarte @monica_duarte_tam she is so bright and I adore her! My quick take on friends to intro you to this incredible woman who has the core of what true friendships are built on. |
832 | 55 | 1382 | #tamilytale | 1451524824 31 de diciembre de 2015 02:20 +0100 | |
My #GYBG has a favorite sport and it is _______________! ⚽️🏀🏈⚾️🎾🏐🏉⛳️🏓🏸🏒🏑🏏🎿🏂⛸🏹🏆 |
987 | 39 | 1377 | #gybg | 1452954434 16 de enero de 2016 15:27 +0100 | |
"God gives talent. Work transforms talent into genius." Anna Pavlova. @Jlo works so incredibly hard, smart, and with heart! I am in awe of how she shows up for her workouts, family and her multitude of talents. In celebration of her Vegas Show today's challenge is to find out your #GYBG pals favorite @Jlo moment. Maid in Manhattan or Jenny from the Block I can always play on repeat! Don't miss the chance to see her show! She is magic⭐️❤️ |
872 | 49 | 1362 | #gybg | 1453054218 17 de enero de 2016 19:10 +0100 | |
Day 3: What makes your #GYBG unique____________? It's true, as pictured here, I have two totally different thumbs. I grew to embrace the imbalance I couldn't change when I realized the likes of Einstein had the same thumbs. We all have things that make us unique in all this world. What you may not know about my #GYBG's. @jennikonner has roots from her heels that dive right down into the Earth she is so rooted and reaching. @crystalmeers has hearts with wings in her eyes @sallypr81 has eyes in the back of her head that see all things righteous @mylastsupper has a heart with a lens shooting right out of it @mariabaum27 moves faster than an angel version of the Tasmanian devil for good not evil. |
708 | 64 | 1348 | #gybg | 1452275331 08 de enero de 2016 18:48 +0100 | |
I listened to Judy Garland sing Make Someone Happy as I wrote the opening to this weeks #Tamily tale. What does it mean to love yourself? What does it mean to be happy? I believe in @gilliancory and all of the happy she produces each and every day! "To be yourself in a world that is constantly trying to make you something else is the greatest accomplishment." Emerson...I know I speak for everyone when I say that I look up to your authenticity, leadership, and happiness and I can't wait to read your interview right now! 💓✨💓⭐️🎉✌🏼️🕊🍀🌹🌟🍭🌈💎🎀☀️🌴🦄❤️ you are all kinds of magic @gilliancory |
842 | 40 | 1242 | #tamily | 1450924470 24 de diciembre de 2015 03:34 +0100 | |
My #GYBG is most like _______________ character on @girlshbo. Everyone knows my favorite show is @girlshbo ❤️. As we approach their 5th season airing Sunday February 21st if you haven't seen it now you have more than one reason to download all seasons and get caught up. @crystalmeers -Shoshanna @sallypr81 - Marnie @mylastsupper - Jessa @jennikonner you my dear are the whole shabang and I ❤️ Hannah |
741 | 50 | 1241 | #gybg | 1452354287 09 de enero de 2016 16:44 +0100 | |
Somewhere somebody must have some sense. Men must see that force begets force, hate begets hate, toughness begets toughness. And it is all a descending spiral, ultimately ending in destruction for all and everybody. Somebody must have sense enough and morality enough to cut off the chain of hate and the chain of evil in the universe. And you do that by love. —"Loving Your Enemies," 7 November 1957. Today's challenge- Find out what cause is dearest to your #GYBG pals heart and why? 💙💙💙 |
715 | 50 | 1215 | #gybg | 1452801097 14 de enero de 2016 20:51 +0100 | |
See you at Barnes and Noble in Union Square tomorrow! ❤️💙💚 |
591 | 59 | 1181 | 1452895753 15 de enero de 2016 23:09 +0100 | ||
So the saying goes and I strongly concur, "Hard work beats talent that doesn't work hard."
This weeks #tamilytale features @agikonwalia she is a warrior princess❤️ |
673 | 49 | 1163 | #tamilytale | 1452736565 14 de enero de 2016 02:56 +0100 | |
Pizza changes everything. We all have a favorite. My #GYBG pals favorite pizza is _________________🍕🍕🍕. My favorite pizza hands down is Giordano's in Chicago the deep dish and the thin! My favorite frozen pizza is Against the Grain Gourmet. |
714 | 40 | 1114 | #gybg | 1453133783 18 de enero de 2016 17:16 +0100 | |
I love it when I spot a real cheerLEADER! @nadineandrea13 is one of those people that calls for zero attention but just wants to see others fly! What she may not know is that while she is cheering others on that incredible support she gives attracts a magnet of beautiful positivity! Thank you @nadineandrea13 letting me interview you this week!💓 |
683 | 43 | 1113 | 1452165815 07 de enero de 2016 12:23 +0100 | ||
Today's challenge❤️. Find out what your #GYBG wore to prom and please share it with us 😍😍😍. (If not Prom then whatever high school dance). Seriously @jennikonner @crystalmeers @sallypr81 @mylastsupper I gotta know!!!!! |
634 | 42 | 1054 | #gybg | 1452625425 12 de enero de 2016 20:03 +0100 | |
@jessicavwalsh ✨✨✨ |
727 | 30 | 1027 | 1453212332 19 de enero de 2016 15:05 +0100 | ||
If you had to pull a "How To Lose A Guy In Ten Days" for your #GYBG what would you show up with at her door to cheer up her broken heart??? @sallypr81 frosting frosting and MORE frosting @jennikonner Midnight Moon Cheese, truffles, Red, a onesie and Respiro @crystalmeers French fries, baby cakes and 2 tickets south with only bikinis and workout clothes @mylastsupper black dress, red lips, trench coat, Polo bar |
618 | 39 | 1008 | #gybg | 1452544513 11 de enero de 2016 21:35 +0100 | |
I love Rock and Roll but I love artists that break barriers even more. Dolly Parton singing Peace Train is one of my favorite tracks of all time. Today find out your #GYBG pals Rock and Roll Anthem. Happy Birthday @dollyparton from Straight Talk to Peace Train and beyond you are my hero! |
675 | 29 | 965 | #gybg | 1453226660 19 de enero de 2016 19:04 +0100 | |
Can't wait!!!!!! Even though @jlo Knows I don't like to watch anything remotely scary/suspenseful I am watching cause she is so fiercely talented and I 💓her! |
662 | 28 | 942 | 1452201607 07 de enero de 2016 22:20 +0100 | ||
If I could regram all of @mylastsupper I would! You can throw me back to being picked up by @johnsalley any-day but to get me to sing again well maybe for charity. You @mylastsupper prove that without doers like you nothing gets done. In one class act night you raised serious funds for victims of Hurricane Sandy. You are an inspirational healer hero photographing hearts full of life and I am so lucky you are my pal! ❤️#tbt |
662 | 15 | 812 | #tbt | 1452789776 14 de enero de 2016 17:42 +0100 | |
I don't know how to regram but my super super⭐️ pal @jennikonner sure knows how to pack! Meanwhile I'm back in NY writing love letter after love letter to Santa to bring the new season of @girlshbo faster! ❤️🎅🏼 |
622 | 17 | 792 | 1450841777 23 de diciembre de 2015 04:36 +0100 | ||
"The first wealth is health" Emerson |
340 | 17 | 510 | 1450981717 24 de diciembre de 2015 19:28 +0100 |