Análisis en Instagram de @equinox
Periodo analizado: 21/12/2015 al 20/01/2016
Actualizado el 20 de enero de 2016 11:02 +0100
460 Publicaciones
884 Seguidos
93197 Seguidores
Historial de followers
Top potential contributors
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jlo 35305343
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agnezmo 6839609
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amandasteele 2586158
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anthonypadilla 2371036
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marlonwayans 1483889
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nicole_mejia 1453951
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frankiejgrande 1452533
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veronikablack88 1397698
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jamielaing_ 740526
74380 followers analizados
Porcentaje de followers con perfil público y privado
74380 followers analizados
Género de followers
74380 followers analizados
Mapa de algunas fotos de los seguidores
5119 followers analizados
Procedencia de los seguidores
47327
Perfiles públicos
5119
Analizados
1659
Localizados
74
Paises
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 60.2 % | 998 |
United Kingdom | 11.1 % | 184 |
Canada | 3.7 % | 61 |
España | 2.5 % | 42 |
Brazil | 2.1 % | 35 |
Australia | 2.0 % | 33 |
Other | 21.5 % | 339 |
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 60.2 % | 998 |
New York | 43.6 % | 435 |
New York County | 94.7 % | 412 |
New York | 100.0 % | 412 |
Suffolk County | 1.8 % | 8 |
Montauk | 25.0 % | 2 |
Patchogue | 25.0 % | 2 |
East Hampton | 12.5 % | 1 |
Hampton Bays | 12.5 % | 1 |
Mastic Beach | 12.5 % | 1 |
Sag Harbor | 12.5 % | 1 |
Queens County | 1.1 % | 5 |
Westchester County | 1.1 % | 5 |
Mamaroneck | 40.0 % | 2 |
Mount Kisco | 20.0 % | 1 |
White Plains | 20.0 % | 1 |
Yonkers | 20.0 % | 1 |
Dutchess County | 0.5 % | 2 |
Millbrook | 50.0 % | 1 |
Poughquag | 50.0 % | 1 |
Bronx County | 0.2 % | 1 |
Kings County | 0.2 % | 1 |
Tompkins County | 0.2 % | 1 |
Ithaca | 100.0 % | 1 |
California | 25.9 % | 258 |
Los Angeles County | 60.5 % | 156 |
Los Angeles | 59.0 % | 92 |
Santa Monica | 20.5 % | 32 |
Redondo Beach | 3.2 % | 5 |
Malibu | 2.6 % | 4 |
Other | 1.9 % | 3 |
Paramount | 1.9 % | 3 |
Westlake Village | 1.9 % | 3 |
Arcadia | 1.3 % | 2 |
Inglewood | 1.3 % | 2 |
Marina del Rey | 1.3 % | 2 |
Carson | 0.6 % | 1 |
Glendale | 0.6 % | 1 |
Irwindale | 0.6 % | 1 |
La Puente | 0.6 % | 1 |
Long Beach | 0.6 % | 1 |
Pasadena | 0.6 % | 1 |
Pomona | 0.6 % | 1 |
Whittier | 0.6 % | 1 |
San Francisco County | 12.8 % | 33 |
San Francisco | 100.0 % | 33 |
Orange County | 10.9 % | 28 |
Newport Beach | 25.0 % | 7 |
Santa Ana | 25.0 % | 7 |
Huntington Beach | 21.4 % | 6 |
Anaheim | 17.9 % | 5 |
Brea | 3.6 % | 1 |
Laguna Beach | 3.6 % | 1 |
San Juan Capistrano | 3.6 % | 1 |
San Diego County | 7.0 % | 18 |
San Diego | 77.8 % | 14 |
Carlsbad | 11.1 % | 2 |
Encinitas | 11.1 % | 2 |
Alameda County | 1.6 % | 4 |
Berkeley | 75.0 % | 3 |
Oakland | 25.0 % | 1 |
Santa Clara County | 1.6 % | 4 |
Santa Clara | 50.0 % | 2 |
Mountain View | 25.0 % | 1 |
San Jose | 25.0 % | 1 |
Fresno County | 0.8 % | 2 |
Fresno | 50.0 % | 1 |
Sanger | 50.0 % | 1 |
San Mateo County | 0.8 % | 2 |
San Francisco | 100.0 % | 2 |
Santa Barbara County | 0.8 % | 2 |
Santa Barbara | 100.0 % | 2 |
Contra Costa County | 0.4 % | 1 |
Concord | 100.0 % | 1 |
El Dorado County | 0.4 % | 1 |
South Lake Tahoe | 100.0 % | 1 |
Inyo County | 0.4 % | 1 |
Bishop | 100.0 % | 1 |
Marin County | 0.4 % | 1 |
Sausalito | 100.0 % | 1 |
Napa County | 0.4 % | 1 |
Napa | 100.0 % | 1 |
Placer County | 0.4 % | 1 |
Granite Bay | 100.0 % | 1 |
Riverside County | 0.4 % | 1 |
Palm Springs | 100.0 % | 1 |
San Bernardino County | 0.4 % | 1 |
San Bernardino | 100.0 % | 1 |
San Luis Obispo County | 0.4 % | 1 |
San Luis Obispo | 100.0 % | 1 |
Florida | 6.2 % | 62 |
Miami-Dade County | 72.6 % | 45 |
Miami Beach | 57.8 % | 26 |
Miami | 17.8 % | 8 |
El Portal | 15.6 % | 7 |
Doral | 2.2 % | 1 |
Homestead | 2.2 % | 1 |
Islandia | 2.2 % | 1 |
Opa-locka | 2.2 % | 1 |
Orange County | 6.5 % | 4 |
Orlando | 75.0 % | 3 |
Kissimmee | 25.0 % | 1 |
Broward County | 4.8 % | 3 |
Fort Lauderdale | 66.7 % | 2 |
Hollywood | 33.3 % | 1 |
Palm Beach County | 4.8 % | 3 |
Boynton Beach | 33.3 % | 1 |
Juno Beach | 33.3 % | 1 |
West Palm Beach | 33.3 % | 1 |
Alachua County | 1.6 % | 1 |
Gainesville | 100.0 % | 1 |
Collier County | 1.6 % | 1 |
Naples | 100.0 % | 1 |
Monroe County | 1.6 % | 1 |
Key West | 100.0 % | 1 |
Other | 1.6 % | 1 |
Feather Sound | 100.0 % | 1 |
Pinellas County | 1.6 % | 1 |
Saint Petersburg | 100.0 % | 1 |
Seminole County | 1.6 % | 1 |
Longwood | 100.0 % | 1 |
Walton County | 1.6 % | 1 |
Santa Rosa Beach | 100.0 % | 1 |
Texas | 4.2 % | 42 |
Dallas County | 42.9 % | 18 |
Dallas | 94.4 % | 17 |
Cedar Hill | 5.6 % | 1 |
Harris County | 31.0 % | 13 |
Houston | 100.0 % | 13 |
Travis County | 21.4 % | 9 |
Austin | 100.0 % | 9 |
Tarrant County | 2.4 % | 1 |
Dallas | 100.0 % | 1 |
Taylor County | 2.4 % | 1 |
Abilene | 100.0 % | 1 |
Massachusetts | 3.8 % | 38 |
Suffolk County | 84.2 % | 32 |
Boston | 100.0 % | 32 |
Barnstable County | 5.3 % | 2 |
Chatham | 50.0 % | 1 |
Falmouth | 50.0 % | 1 |
Dukes County | 2.6 % | 1 |
Oak Bluffs | 100.0 % | 1 |
Middlesex County | 2.6 % | 1 |
Winchester | 100.0 % | 1 |
Nantucket County | 2.6 % | 1 |
Nantucket | 100.0 % | 1 |
Norfolk County | 2.6 % | 1 |
Norwood | 100.0 % | 1 |
Illinois | 3.2 % | 32 |
Cook County | 93.8 % | 30 |
Chicago | 96.7 % | 29 |
Glencoe | 3.3 % | 1 |
Lake County | 6.3 % | 2 |
Lake Bluff | 50.0 % | 1 |
Mundelein | 50.0 % | 1 |
District of Columbia | 1.3 % | 13 |
Washington | 100.0 % | 13 |
Connecticut | 0.9 % | 9 |
Fairfield County | 100.0 % | 9 |
Greenwich | 66.7 % | 6 |
Brookfield | 11.1 % | 1 |
Norwalk | 11.1 % | 1 |
Weston | 11.1 % | 1 |
New Jersey | 0.8 % | 8 |
Bergen County | 25.0 % | 2 |
Mahwah | 50.0 % | 1 |
Wyckoff | 50.0 % | 1 |
Cape May County | 12.5 % | 1 |
Ocean City | 100.0 % | 1 |
Gloucester County | 12.5 % | 1 |
Washington Township | 100.0 % | 1 |
Middlesex County | 12.5 % | 1 |
Carteret | 100.0 % | 1 |
Monmouth County | 12.5 % | 1 |
Aberdeen Township | 100.0 % | 1 |
Somerset County | 12.5 % | 1 |
Franklin Township | 100.0 % | 1 |
Union County | 12.5 % | 1 |
Summit | 100.0 % | 1 |
Colorado | 0.7 % | 7 |
Denver County | 57.1 % | 4 |
Denver | 100.0 % | 4 |
Jefferson County | 14.3 % | 1 |
Westminster | 100.0 % | 1 |
Pitkin County | 14.3 % | 1 |
Aspen | 100.0 % | 1 |
Routt County | 14.3 % | 1 |
Steamboat Springs | 100.0 % | 1 |
Maryland | 0.7 % | 7 |
Other | 42.9 % | 3 |
Baltimore | 100.0 % | 3 |
Anne Arundel County | 28.6 % | 2 |
Annapolis | 50.0 % | 1 |
Glen Burnie | 50.0 % | 1 |
Montgomery County | 14.3 % | 1 |
Silver Spring | 100.0 % | 1 |
Prince George's County | 14.3 % | 1 |
East Riverdale | 100.0 % | 1 |
Michigan | 0.7 % | 7 |
Oakland County | 42.9 % | 3 |
Leonard | 33.3 % | 1 |
Novi | 33.3 % | 1 |
Royal Oak | 33.3 % | 1 |
Wayne County | 42.9 % | 3 |
Detroit | 100.0 % | 3 |
Alger County | 14.3 % | 1 |
Munising | 100.0 % | 1 |
Ohio | 0.7 % | 7 |
Cuyahoga County | 28.6 % | 2 |
Cleveland | 50.0 % | 1 |
Independence | 50.0 % | 1 |
Coshocton County | 14.3 % | 1 |
Dresden | 100.0 % | 1 |
Franklin County | 14.3 % | 1 |
Columbus | 100.0 % | 1 |
Hamilton County | 14.3 % | 1 |
Cincinnati | 100.0 % | 1 |
Summit County | 14.3 % | 1 |
North Canton | 100.0 % | 1 |
Warren County | 14.3 % | 1 |
Maineville | 100.0 % | 1 |
Pennsylvania | 0.7 % | 7 |
Philadelphia County | 42.9 % | 3 |
Philadelphia | 100.0 % | 3 |
Allegheny County | 28.6 % | 2 |
Pittsburgh | 100.0 % | 2 |
Chester County | 14.3 % | 1 |
Malvern | 100.0 % | 1 |
Tioga County | 14.3 % | 1 |
Mansfield | 100.0 % | 1 |
Nevada | 0.6 % | 6 |
Clark County | 100.0 % | 6 |
Las Vegas | 100.0 % | 6 |
Virginia | 0.6 % | 6 |
Fairfax County | 50.0 % | 3 |
McLean | 66.7 % | 2 |
Alexandria | 33.3 % | 1 |
Other | 33.3 % | 2 |
Richmond | 100.0 % | 2 |
Prince William County | 16.7 % | 1 |
Woodbridge | 100.0 % | 1 |
Arizona | 0.5 % | 5 |
Maricopa County | 80.0 % | 4 |
Phoenix | 100.0 % | 4 |
Yavapai County | 20.0 % | 1 |
Seligman | 100.0 % | 1 |
Georgia | 0.5 % | 5 |
Fulton County | 60.0 % | 3 |
Atlanta | 66.7 % | 2 |
Alpharetta | 33.3 % | 1 |
DeKalb County | 40.0 % | 2 |
Chamblee | 100.0 % | 2 |
Oregon | 0.5 % | 5 |
Multnomah County | 60.0 % | 3 |
Portland | 100.0 % | 3 |
Marion County | 20.0 % | 1 |
Silverton | 100.0 % | 1 |
Umatilla County | 20.0 % | 1 |
Pendleton | 100.0 % | 1 |
Louisiana | 0.4 % | 4 |
Orleans Parish | 75.0 % | 3 |
New Orleans | 100.0 % | 3 |
St. Tammany Parish | 25.0 % | 1 |
Covington | 100.0 % | 1 |
Missouri | 0.4 % | 4 |
St. Louis County | 75.0 % | 3 |
Saint Louis | 100.0 % | 3 |
Jackson County | 25.0 % | 1 |
Kansas City | 100.0 % | 1 |
North Carolina | 0.4 % | 4 |
Buncombe County | 25.0 % | 1 |
Asheville | 100.0 % | 1 |
Durham County | 25.0 % | 1 |
Durham | 100.0 % | 1 |
Mecklenburg County | 25.0 % | 1 |
Charlotte | 100.0 % | 1 |
Orange County | 25.0 % | 1 |
Carrboro | 100.0 % | 1 |
Hawaii | 0.3 % | 3 |
Honolulu County | 100.0 % | 3 |
Honolulu | 100.0 % | 3 |
Wisconsin | 0.3 % | 3 |
Brown County | 33.3 % | 1 |
Green Bay | 100.0 % | 1 |
Dane County | 33.3 % | 1 |
Middleton | 100.0 % | 1 |
Milwaukee County | 33.3 % | 1 |
Glendale | 100.0 % | 1 |
Minnesota | 0.2 % | 2 |
Hennepin County | 50.0 % | 1 |
Minneapolis | 100.0 % | 1 |
Ramsey County | 50.0 % | 1 |
Saint Paul | 100.0 % | 1 |
Utah | 0.2 % | 2 |
Salt Lake County | 100.0 % | 2 |
Salt Lake City | 100.0 % | 2 |
Washington | 0.2 % | 2 |
King County | 100.0 % | 2 |
Seattle | 100.0 % | 2 |
Wyoming | 0.2 % | 2 |
Teton County | 100.0 % | 2 |
Jackson | 50.0 % | 1 |
Moose | 50.0 % | 1 |
Alabama | 0.1 % | 1 |
Jefferson County | 100.0 % | 1 |
Birmingham | 100.0 % | 1 |
Alaska | 0.1 % | 1 |
Juneau | 100.0 % | 1 |
Juneau | 100.0 % | 1 |
Indiana | 0.1 % | 1 |
St. Joseph County | 100.0 % | 1 |
Mishawaka | 100.0 % | 1 |
Kentucky | 0.1 % | 1 |
Fayette County | 100.0 % | 1 |
Lexington | 100.0 % | 1 |
Maine | 0.1 % | 1 |
Knox County | 100.0 % | 1 |
Vinalhaven | 100.0 % | 1 |
Mississippi | 0.1 % | 1 |
Forrest County | 100.0 % | 1 |
Hattiesburg | 100.0 % | 1 |
New Hampshire | 0.1 % | 1 |
Rockingham County | 100.0 % | 1 |
Hampton | 100.0 % | 1 |
New Mexico | 0.1 % | 1 |
Santa Fe County | 100.0 % | 1 |
Santa Fe | 100.0 % | 1 |
Rhode Island | 0.1 % | 1 |
Providence County | 100.0 % | 1 |
Providence | 100.0 % | 1 |
South Carolina | 0.1 % | 1 |
Greenville County | 100.0 % | 1 |
Greenville | 100.0 % | 1 |
Tennessee | 0.1 % | 1 |
Hamilton County | 100.0 % | 1 |
Chattanooga | 100.0 % | 1 |
Vermont | 0.1 % | 1 |
Chittenden County | 100.0 % | 1 |
Burlington | 100.0 % | 1 |
West Virginia | 0.1 % | 1 |
Cabell County | 100.0 % | 1 |
Huntington | 100.0 % | 1 |
United Kingdom | 11.1 % | 184 |
England | 97.3 % | 179 |
Greater London | 82.1 % | 147 |
London | 98.0 % | 144 |
Barnet | 1.4 % | 2 |
Richmond | 0.7 % | 1 |
Greater Manchester | 3.4 % | 6 |
Manchester | 83.3 % | 5 |
Bolton | 16.7 % | 1 |
City of Bristol | 1.1 % | 2 |
Bristol | 100.0 % | 2 |
Cornwall | 1.1 % | 2 |
Other | 50.0 % | 1 |
Perranporth | 50.0 % | 1 |
Lancashire | 1.1 % | 2 |
Ormskirk | 50.0 % | 1 |
Other | 50.0 % | 1 |
Nottinghamshire | 1.1 % | 2 |
Nottingham | 100.0 % | 2 |
West Yorkshire | 1.1 % | 2 |
Leeds | 100.0 % | 2 |
Cheshire West and Chester | 0.6 % | 1 |
Chester | 100.0 % | 1 |
Cumbria | 0.6 % | 1 |
Barrow-in-Furness | 100.0 % | 1 |
Devon | 0.6 % | 1 |
Exeter | 100.0 % | 1 |
Dorset | 0.6 % | 1 |
Studland | 100.0 % | 1 |
East Sussex | 0.6 % | 1 |
Hastings | 100.0 % | 1 |
Essex | 0.6 % | 1 |
Loughton | 100.0 % | 1 |
Kent | 0.6 % | 1 |
Reculver | 100.0 % | 1 |
Leicester | 0.6 % | 1 |
Lincolnshire | 0.6 % | 1 |
Tattershall | 100.0 % | 1 |
Milton Keynes | 0.6 % | 1 |
North Somerset | 0.6 % | 1 |
Weston-super-Mare | 100.0 % | 1 |
North Yorkshire | 0.6 % | 1 |
Knaresborough | 100.0 % | 1 |
Southampton | 0.6 % | 1 |
Southampton | 100.0 % | 1 |
The City of Brighton and Hove | 0.6 % | 1 |
Brighton | 100.0 % | 1 |
West Midlands | 0.6 % | 1 |
Birmingham | 100.0 % | 1 |
Wokingham | 0.6 % | 1 |
Scotland | 2.2 % | 4 |
Glasgow City | 75.0 % | 3 |
Glasgow | 100.0 % | 3 |
Aberdeen City | 25.0 % | 1 |
Aberdeen | 100.0 % | 1 |
Northern Ireland | 0.5 % | 1 |
Ards | 100.0 % | 1 |
Canada | 3.7 % | 61 |
Ontario | 67.2 % | 41 |
Toronto Division | 82.9 % | 34 |
Toronto | 100.0 % | 34 |
Ottawa Division | 7.3 % | 3 |
Ottawa | 100.0 % | 3 |
York Regional Municipality | 4.9 % | 2 |
Aurora | 50.0 % | 1 |
Vaughan | 50.0 % | 1 |
Durham Regional Municipality | 2.4 % | 1 |
Ajax | 100.0 % | 1 |
Niagara Regional Municipality | 2.4 % | 1 |
Welland | 100.0 % | 1 |
Québec | 18.0 % | 11 |
Communauté-Urbaine-de-Montréal | 90.9 % | 10 |
Montréal | 100.0 % | 10 |
Communauté-Urbaine-de-Québec | 9.1 % | 1 |
Québec | 100.0 % | 1 |
British Columbia | 11.5 % | 7 |
Greater Vancouver | 85.7 % | 6 |
Vancouver | 83.3 % | 5 |
Burnaby | 16.7 % | 1 |
Squamish-Lillooet | 14.3 % | 1 |
Lytton | 100.0 % | 1 |
Newfoundland and Labrador | 1.6 % | 1 |
Division No. 1 | 100.0 % | 1 |
Mobile | 100.0 % | 1 |
Saskatchewan | 1.6 % | 1 |
Division No. 11 | 100.0 % | 1 |
Saskatoon | 100.0 % | 1 |
España | 2.5 % | 42 |
Catalunya | 42.9 % | 18 |
Barcelona | 88.9 % | 16 |
Barcelona | 56.3 % | 9 |
Igualada | 12.5 % | 2 |
Badalona | 6.3 % | 1 |
Castelldefels | 6.3 % | 1 |
Olivella | 6.3 % | 1 |
Sant Andreu de Llavaneres | 6.3 % | 1 |
Terrassa | 6.3 % | 1 |
Girona | 5.6 % | 1 |
Torroella de Montgrí | 100.0 % | 1 |
Lleida | 5.6 % | 1 |
Les Borges Blanques | 100.0 % | 1 |
Comunidad de Madrid | 16.7 % | 7 |
Madrid | 100.0 % | 7 |
Madrid | 85.7 % | 6 |
Pozuelo de Alarcón | 14.3 % | 1 |
Canarias | 11.9 % | 5 |
Las Palmas | 80.0 % | 4 |
Costa Teguise | 25.0 % | 1 |
Las Palmas de Gran Canaria | 25.0 % | 1 |
Pájara | 25.0 % | 1 |
San Bartolomé de Tirajana | 25.0 % | 1 |
Santa Cruz de Tenerife | 20.0 % | 1 |
Andalucía | 9.5 % | 4 |
Cádiz | 50.0 % | 2 |
Cádiz | 100.0 % | 2 |
Granada | 25.0 % | 1 |
Granada | 100.0 % | 1 |
Málaga | 25.0 % | 1 |
Marbella | 100.0 % | 1 |
Illes Balears | 7.1 % | 3 |
Sant Josep de sa Talaia | 66.7 % | 2 |
Fornells | 33.3 % | 1 |
Comunidad Valenciana | 4.8 % | 2 |
Alicante | 100.0 % | 2 |
Alicante | 50.0 % | 1 |
Los Arenales del Sol | 50.0 % | 1 |
Cataluña | 2.4 % | 1 |
Barcelona | 100.0 % | 1 |
Villanueva y Geltrú | 100.0 % | 1 |
Galicia | 2.4 % | 1 |
A Coruña | 100.0 % | 1 |
Ames | 100.0 % | 1 |
Región de Murcia | 2.4 % | 1 |
Murcia | 100.0 % | 1 |
Cartagena | 100.0 % | 1 |
Brazil | 2.1 % | 35 |
São Paulo | 51.4 % | 18 |
São Paulo | 77.8 % | 14 |
São Paulo | 100.0 % | 14 |
Atibaia | 5.6 % | 1 |
Atibaia | 100.0 % | 1 |
Campinas | 5.6 % | 1 |
Campinas | 100.0 % | 1 |
Rio Claro | 5.6 % | 1 |
Rio Claro | 100.0 % | 1 |
Sorocaba | 5.6 % | 1 |
Sorocaba | 100.0 % | 1 |
Rio de Janeiro | 20.0 % | 7 |
Rio de Janeiro | 42.9 % | 3 |
Rio de Janeiro | 100.0 % | 3 |
Nova Friburgo | 28.6 % | 2 |
Nova Friburgo | 100.0 % | 2 |
Petrópolis | 14.3 % | 1 |
Petrópolis | 100.0 % | 1 |
São Gonçalo | 14.3 % | 1 |
São Gonçalo | 100.0 % | 1 |
Minas Gerais | 8.6 % | 3 |
Belo Horizonte | 66.7 % | 2 |
Belo Horizonte | 100.0 % | 2 |
Ouro Preto | 33.3 % | 1 |
Ouro Preto | 100.0 % | 1 |
Santa Catarina | 5.7 % | 2 |
Balneário Arroio do Silva | 50.0 % | 1 |
Balneário Arroio do Silva | 100.0 % | 1 |
Florianópolis | 50.0 % | 1 |
Florianópolis | 100.0 % | 1 |
Bahia | 2.9 % | 1 |
Salvador | 100.0 % | 1 |
Salvador | 100.0 % | 1 |
Ceará | 2.9 % | 1 |
Fortaleza | 100.0 % | 1 |
Fortaleza | 100.0 % | 1 |
Espírito Santo | 2.9 % | 1 |
Guarapari | 100.0 % | 1 |
Guarapari | 100.0 % | 1 |
Pernambuco | 2.9 % | 1 |
Recife | 100.0 % | 1 |
Recife | 100.0 % | 1 |
Rio Grande do Sul | 2.9 % | 1 |
Porto Alegre | 100.0 % | 1 |
Porto Alegre | 100.0 % | 1 |
Australia | 2.0 % | 33 |
New South Wales | 54.5 % | 18 |
Port Jackson | 38.9 % | 7 |
Matraville | 33.3 % | 6 |
Dural | 5.6 % | 1 |
Falls Creek | 5.6 % | 1 |
Kyeamba | 5.6 % | 1 |
Newcastle | 5.6 % | 1 |
Palm Beach | 5.6 % | 1 |
Victoria | 24.2 % | 8 |
Melbourne | 75.0 % | 6 |
Other | 25.0 % | 2 |
Queensland | 12.1 % | 4 |
Bowen Hills | 100.0 % | 4 |
Northern Territory | 3.0 % | 1 |
Alice Springs | 100.0 % | 1 |
South Australia | 3.0 % | 1 |
Adelaide | 100.0 % | 1 |
Western Australia | 3.0 % | 1 |
Parkwood | 100.0 % | 1 |
Other | 21.5 % | 339 |
México | 2.0 % | 33 |
Distrito Federal | 39.4 % | 13 |
Ciudad de México | 100.0 % | 13 |
Jalisco | 9.1 % | 3 |
Guadalajara | 66.7 % | 2 |
Guadalajara | 50.0 % | 1 |
Tonalá | 50.0 % | 1 |
Ixtlahuacán de los Membrillos | 33.3 % | 1 |
Ixtlahuacán de los Membrillos | 100.0 % | 1 |
Nuevo León | 9.1 % | 3 |
San Nicolás de los Garza | 33.3 % | 1 |
San Nicolás de los Garza | 100.0 % | 1 |
San Pedro Garza García | 33.3 % | 1 |
San Pedro Garza García | 100.0 % | 1 |
Santiago | 33.3 % | 1 |
Santiago | 100.0 % | 1 |
Quintana Roo | 9.1 % | 3 |
Benito Juárez | 33.3 % | 1 |
Cancún | 100.0 % | 1 |
Lázaro Cárdenas | 33.3 % | 1 |
Holbox | 100.0 % | 1 |
Solidaridad | 33.3 % | 1 |
Playa del Carmen | 100.0 % | 1 |
Baja California Sur | 6.1 % | 2 |
Los Cabos | 100.0 % | 2 |
Cabo San Lucas | 100.0 % | 2 |
Aguascalientes | 3.0 % | 1 |
Aguascalientes | 100.0 % | 1 |
Baja California | 3.0 % | 1 |
Municipio de Tijuana | 100.0 % | 1 |
Tijuana | 100.0 % | 1 |
Chiapas | 3.0 % | 1 |
Tuxtla Gutiérrez | 100.0 % | 1 |
Tuxtla Gutiérrez | 100.0 % | 1 |
Guerrero | 3.0 % | 1 |
Acapulco de Juárez | 100.0 % | 1 |
Acapulco | 100.0 % | 1 |
Michoacán | 3.0 % | 1 |
Morelia | 100.0 % | 1 |
Morelia | 100.0 % | 1 |
Morelos | 3.0 % | 1 |
Cuernavaca | 100.0 % | 1 |
Cuernavaca | 100.0 % | 1 |
Nayarit | 3.0 % | 1 |
Tepic | 100.0 % | 1 |
Tepic | 100.0 % | 1 |
Veracruz | 3.0 % | 1 |
Xalapa | 100.0 % | 1 |
Xalapa Enríquez | 100.0 % | 1 |
Yucatán | 3.0 % | 1 |
Mérida | 100.0 % | 1 |
Ciudad Caucel | 100.0 % | 1 |
Italy | 1.9 % | 31 |
Lombardia | 16.1 % | 5 |
Città Metropolitana di Milano | 80.0 % | 4 |
Milano | 75.0 % | 3 |
Trezzo sull'Adda | 25.0 % | 1 |
Provincia di Como | 20.0 % | 1 |
Bellagio | 100.0 % | 1 |
Toscana | 16.1 % | 5 |
Città Metropolitana di Firenze | 40.0 % | 2 |
Firenze | 100.0 % | 2 |
Provincia di Lucca | 40.0 % | 2 |
Marina di Torre del Lago Puccini | 100.0 % | 2 |
Provincia di Pisa | 20.0 % | 1 |
Pisa | 100.0 % | 1 |
Campania | 12.9 % | 4 |
Città Metropolitana di Napoli | 50.0 % | 2 |
Napoli | 50.0 % | 1 |
Other | 50.0 % | 1 |
Provincia di Salerno | 50.0 % | 2 |
Nocera Inferiore | 50.0 % | 1 |
Other | 50.0 % | 1 |
Piemonte | 12.9 % | 4 |
Città Metropolitana di Torino | 100.0 % | 4 |
Torino | 75.0 % | 3 |
Moncalieri | 25.0 % | 1 |
Lazio | 9.7 % | 3 |
Città Metropolitana di Roma | 100.0 % | 3 |
Roma | 100.0 % | 3 |
Emilia-Romagna | 6.5 % | 2 |
Città Metropolitana di Bologna | 50.0 % | 1 |
Bologna | 100.0 % | 1 |
Provincia di Rimini | 50.0 % | 1 |
Rimini | 100.0 % | 1 |
Calabria | 3.2 % | 1 |
Provincia di Cosenza | 100.0 % | 1 |
Seminario | 100.0 % | 1 |
Friuli-Venezia Giulia | 3.2 % | 1 |
Provincia di Udine | 100.0 % | 1 |
San Valentino | 100.0 % | 1 |
Liguria | 3.2 % | 1 |
Città Metropolitana di Genova | 100.0 % | 1 |
Zoagli | 100.0 % | 1 |
Marche | 3.2 % | 1 |
Provincia di Ascoli Piceno | 100.0 % | 1 |
San Benedetto del Tronto | 100.0 % | 1 |
Puglia | 3.2 % | 1 |
Città Metropolitana di Bari | 100.0 % | 1 |
Bari | 100.0 % | 1 |
Sardegna | 3.2 % | 1 |
Provincia di Olbia-Tempio | 100.0 % | 1 |
Stagnali | 100.0 % | 1 |
Sicilia | 3.2 % | 1 |
Provincia di Palermo | 100.0 % | 1 |
Castelbuono | 100.0 % | 1 |
Veneto | 3.2 % | 1 |
Città Metropolitana di Venezia | 100.0 % | 1 |
Venezia | 100.0 % | 1 |
France | 1.8 % | 30 |
Île-de-France | 83.3 % | 25 |
Paris | 92.0 % | 23 |
Paris | 100.0 % | 23 |
Hauts-de-Seine | 4.0 % | 1 |
Clamart | 100.0 % | 1 |
Seine-Saint-Denis | 4.0 % | 1 |
Drancy | 100.0 % | 1 |
Provence-Alpes-Côte d'Azur | 10.0 % | 3 |
Alpes-Maritimes | 66.7 % | 2 |
Cannes | 50.0 % | 1 |
Vence | 50.0 % | 1 |
Var | 33.3 % | 1 |
Saint-Tropez | 100.0 % | 1 |
Aquitaine | 3.3 % | 1 |
Landes | 100.0 % | 1 |
Soorts-Hossegor | 100.0 % | 1 |
Rhône-Alpes | 3.3 % | 1 |
Rhône | 100.0 % | 1 |
Champagne-au-Mont-d'Or | 100.0 % | 1 |
Thailand | 1.0 % | 17 |
Krung Thep Maha Nakhon | 58.8 % | 10 |
Bangkok | 100.0 % | 10 |
Chang Wat Chon Buri | 17.6 % | 3 |
Amphoe Bang Lamung | 100.0 % | 3 |
Muang Pattaya | 66.7 % | 2 |
Tambon Pong | 33.3 % | 1 |
Chang Wat Chiang Mai | 5.9 % | 1 |
Amphoe Mae Taeng | 100.0 % | 1 |
Tambon Kuet Chang | 100.0 % | 1 |
Chang Wat Mae Hong Son | 5.9 % | 1 |
Amphoe Pang Mapha | 100.0 % | 1 |
Tambon Pang Mapha | 100.0 % | 1 |
Chang Wat Phuket | 5.9 % | 1 |
Amphoe Mueang Phuket | 100.0 % | 1 |
Tambon Chalong | 100.0 % | 1 |
Chang Wat Surat Thani | 5.9 % | 1 |
Amphoe Ko Samui | 100.0 % | 1 |
Ko Samui | 100.0 % | 1 |
Germany | 0.7 % | 11 |
Berlin | 45.5 % | 5 |
Berlin | 100.0 % | 5 |
Hamburg | 18.2 % | 2 |
Hamburg | 100.0 % | 2 |
Baden-Württemberg | 9.1 % | 1 |
Freiburg | 100.0 % | 1 |
Todtnau | 100.0 % | 1 |
Hesse | 9.1 % | 1 |
Darmstadt | 100.0 % | 1 |
Offenbach | 100.0 % | 1 |
Nordrhein-Westfalen | 9.1 % | 1 |
Düsseldorf | 100.0 % | 1 |
Düsseldorf | 100.0 % | 1 |
Thuringia | 9.1 % | 1 |
Erfurt | 100.0 % | 1 |
Russia | 0.6 % | 10 |
Moscow | 50.0 % | 5 |
gorod Moskva | 100.0 % | 5 |
Moscow | 60.0 % | 3 |
Moskva | 40.0 % | 2 |
Saint Petersburg | 20.0 % | 2 |
gorod Sankt-Peterburg | 100.0 % | 2 |
Sankt-Peterburg | 100.0 % | 2 |
Kaliningradskaya oblast' | 10.0 % | 1 |
gorod Kaliningrad | 100.0 % | 1 |
Kaliningrad | 100.0 % | 1 |
Respublika Tatarstan | 10.0 % | 1 |
gorod Kazan' | 100.0 % | 1 |
Kazan | 100.0 % | 1 |
Stavropolskiy kray | 10.0 % | 1 |
gorod Kislovodsk | 100.0 % | 1 |
Kislovodsk | 100.0 % | 1 |
Turkey | 0.5 % | 9 |
İstanbul | 77.8 % | 7 |
Fatih | 57.1 % | 4 |
Istanbul | 100.0 % | 4 |
Şişli | 28.6 % | 2 |
Maslak Mahallesi | 100.0 % | 2 |
Sarıyer | 14.3 % | 1 |
Muğla | 11.1 % | 1 |
Ortaca | 100.0 % | 1 |
İzmir | 11.1 % | 1 |
Çeşme | 100.0 % | 1 |
Çesme | 100.0 % | 1 |
Colombia | 0.5 % | 8 |
Antioquia | 50.0 % | 4 |
Medellín | 100.0 % | 4 |
Medellín | 100.0 % | 4 |
Bogotá | 50.0 % | 4 |
Bogotá | 100.0 % | 4 |
Argentina | 0.4 % | 7 |
Ciudad Autónoma de Buenos Aires | 57.1 % | 4 |
Comuna 1 | 100.0 % | 4 |
Buenos Aires | 100.0 % | 4 |
Buenos Aires | 28.6 % | 2 |
Tandil | 50.0 % | 1 |
Tandil | 100.0 % | 1 |
Vicente López | 50.0 % | 1 |
Olivos | 100.0 % | 1 |
Santa Fe | 14.3 % | 1 |
Rosario | 100.0 % | 1 |
Rosario | 100.0 % | 1 |
Greece | 0.4 % | 7 |
Attica | 42.9 % | 3 |
Athens | 66.7 % | 2 |
Other | 33.3 % | 1 |
Egeo | 42.9 % | 3 |
Southern Aegean | 100.0 % | 3 |
Peloponnisos Dytiki Ellada ke Ionio | 14.3 % | 1 |
Peloponnese | 100.0 % | 1 |
Indonesia | 0.4 % | 7 |
Daerah Khusus Ibukota Jakarta | 57.1 % | 4 |
Kota Jakarta Pusat | 75.0 % | 3 |
Kota Jakarta Selatan | 25.0 % | 1 |
Daerah Istimewa Yogyakarta | 28.6 % | 2 |
Kota Yogyakarta | 100.0 % | 2 |
Bali | 14.3 % | 1 |
Kabupaten Badung | 100.0 % | 1 |
Japan | 0.4 % | 7 |
Tōkyō-to | 85.7 % | 6 |
Shibuya-ku | 100.0 % | 6 |
Ōsaka-fu | 14.3 % | 1 |
Ōsaka-shi | 100.0 % | 1 |
Portugal | 0.4 % | 6 |
Lisboa | 66.7 % | 4 |
Lisbon | 100.0 % | 4 |
Lisboa | 100.0 % | 4 |
Beja | 16.7 % | 1 |
Odemira | 100.0 % | 1 |
Vila Nova de Milfontes | 100.0 % | 1 |
Porto | 16.7 % | 1 |
Amarante | 100.0 % | 1 |
Switzerland | 0.4 % | 6 |
Vaud | 33.3 % | 2 |
Lausanne | 100.0 % | 2 |
Lausanne | 100.0 % | 2 |
Zürich | 33.3 % | 2 |
Zürich | 100.0 % | 2 |
Basel-Stadt | 16.7 % | 1 |
Basel | 100.0 % | 1 |
Genève | 16.7 % | 1 |
Genève | 100.0 % | 1 |
Austria | 0.3 % | 5 |
Wien | 80.0 % | 4 |
Wien | 100.0 % | 4 |
Salzburg | 20.0 % | 1 |
Salzburg | 100.0 % | 1 |
Hong Kong | 0.3 % | 5 |
Hong Kong Island | 60.0 % | 3 |
Southern District | 100.0 % | 3 |
Hong Kong | 100.0 % | 3 |
New Territories | 40.0 % | 2 |
Kwai Tsing District | 100.0 % | 2 |
Hong Kong | 100.0 % | 2 |
Israel | 0.3 % | 5 |
Tel Aviv District | 100.0 % | 5 |
Tel Aviv-Yafo | 100.0 % | 5 |
Malaysia | 0.3 % | 5 |
Selangor | 40.0 % | 2 |
Melaka | 20.0 % | 1 |
Melaka | 100.0 % | 1 |
Negeri Sembilan | 20.0 % | 1 |
Seremban | 100.0 % | 1 |
Wilayah Persekutuan Kuala Lumpur | 20.0 % | 1 |
Kuala Lumpur | 100.0 % | 1 |
Philippines | 0.3 % | 5 |
Metro Manila | 60.0 % | 3 |
NCR - National Capital Region | 66.7 % | 2 |
Makati | 100.0 % | 2 |
Other | 33.3 % | 1 |
Muntinlupa | 100.0 % | 1 |
Central Luzon | 20.0 % | 1 |
Bulacan | 100.0 % | 1 |
Paombong | 100.0 % | 1 |
Zamboanga Peninsula | 20.0 % | 1 |
Zamboanga Sibugay | 100.0 % | 1 |
Zamboanga | 100.0 % | 1 |
Singapore | 0.3 % | 5 |
Other | 100.0 % | 5 |
Singapore | 100.0 % | 5 |
United Arab Emirates | 0.3 % | 5 |
Dubai | 80.0 % | 4 |
Dubai | 100.0 % | 4 |
Abu Dhabi | 20.0 % | 1 |
Abu Dhabi | 100.0 % | 1 |
Hungary | 0.2 % | 4 |
Budapest | 50.0 % | 2 |
Budapest | 100.0 % | 2 |
Baranya | 25.0 % | 1 |
Mohácsi | 100.0 % | 1 |
Mohács | 100.0 % | 1 |
Heves County | 25.0 % | 1 |
Egri | 100.0 % | 1 |
Demjén | 100.0 % | 1 |
India | 0.2 % | 4 |
Delhi | 25.0 % | 1 |
South Delhi | 100.0 % | 1 |
New Delhi | 100.0 % | 1 |
Gujarat | 25.0 % | 1 |
Vadodara | 100.0 % | 1 |
Vadodara | 100.0 % | 1 |
Karnataka | 25.0 % | 1 |
Mysuru | 100.0 % | 1 |
Mysuru | 100.0 % | 1 |
Maharashtra | 25.0 % | 1 |
Mumbai Suburban | 100.0 % | 1 |
Mumbai | 100.0 % | 1 |
Netherlands | 0.2 % | 4 |
Noord-Holland | 50.0 % | 2 |
Amsterdam | 100.0 % | 2 |
Amsterdam | 100.0 % | 2 |
Zuid-Holland | 50.0 % | 2 |
Rotterdam | 100.0 % | 2 |
Rotterdam | 100.0 % | 2 |
South Africa | 0.2 % | 4 |
Gauteng | 100.0 % | 4 |
City of Johannesburg Metropolitan Municipality | 100.0 % | 4 |
Johannesburg | 75.0 % | 3 |
Sandton | 25.0 % | 1 |
Belgium | 0.2 % | 3 |
Bruxelles | 33.3 % | 1 |
Bruxelles | 100.0 % | 1 |
Région wallonne | 33.3 % | 1 |
Liège | 100.0 % | 1 |
Welkenraedt | 100.0 % | 1 |
Vlaanderen | 33.3 % | 1 |
West-Vlaanderen | 100.0 % | 1 |
Heuvelland | 100.0 % | 1 |
Chile | 0.2 % | 3 |
Región Metropolitana | 66.7 % | 2 |
Santiago | 100.0 % | 2 |
Santiago | 100.0 % | 2 |
VI Región | 33.3 % | 1 |
Cachapoal | 100.0 % | 1 |
Rancagua | 100.0 % | 1 |
Czech Republic | 0.2 % | 3 |
Hlavní město Praha | 33.3 % | 1 |
Prague | 100.0 % | 1 |
Moravian-Silesian Region | 33.3 % | 1 |
Ostrava-City District | 100.0 % | 1 |
Ostrava | 100.0 % | 1 |
Vysočina Region | 33.3 % | 1 |
Jihlava District | 100.0 % | 1 |
Jihlava | 100.0 % | 1 |
Ecuador | 0.2 % | 3 |
Cañar | 33.3 % | 1 |
Guayas | 33.3 % | 1 |
Guayaquil | 100.0 % | 1 |
Manabí | 33.3 % | 1 |
Estados Unidos | 0.2 % | 3 |
Texas | 66.7 % | 2 |
Cameron County | 50.0 % | 1 |
South Padre Island | 100.0 % | 1 |
El Paso County | 50.0 % | 1 |
El Paso | 100.0 % | 1 |
California | 33.3 % | 1 |
San Diego County | 100.0 % | 1 |
Bonita | 100.0 % | 1 |
Perú | 0.2 % | 3 |
Other | 66.7 % | 2 |
Lima | 100.0 % | 2 |
Miraflores | 100.0 % | 2 |
Cuzco | 33.3 % | 1 |
Urubamba | 100.0 % | 1 |
Aguas Calientes | 100.0 % | 1 |
Taiwan | 0.2 % | 3 |
New Taipei City | 33.3 % | 1 |
Taichung City | 33.3 % | 1 |
Taipei City | 33.3 % | 1 |
Venezuela | 0.2 % | 3 |
Distrito Capital | 100.0 % | 3 |
Libertador | 100.0 % | 3 |
Caracas | 100.0 % | 3 |
Denmark | 0.1 % | 2 |
Capital Region of Denmark | 50.0 % | 1 |
København | 100.0 % | 1 |
Copenhagen | 100.0 % | 1 |
Central Denmark Region | 50.0 % | 1 |
Aarhus Municipality | 100.0 % | 1 |
Aarhus | 100.0 % | 1 |
Poland | 0.1 % | 2 |
mazowieckie | 50.0 % | 1 |
Warszawa | 100.0 % | 1 |
Warszawa | 100.0 % | 1 |
małopolskie | 50.0 % | 1 |
Kraków | 100.0 % | 1 |
Kraków | 100.0 % | 1 |
Serbia | 0.1 % | 2 |
Vojvodina | 100.0 % | 2 |
City of Belgrade | 100.0 % | 2 |
Belgrade | 100.0 % | 2 |
South Korea | 0.1 % | 2 |
Busan | 50.0 % | 1 |
Busan | 100.0 % | 1 |
Seoul | 50.0 % | 1 |
Seoul | 100.0 % | 1 |
Tunisia | 0.1 % | 2 |
Gouvernorat de Tunis | 50.0 % | 1 |
Carthage | 100.0 % | 1 |
Carthago | 100.0 % | 1 |
Nabeul | 50.0 % | 1 |
Hammamet | 100.0 % | 1 |
Hammamet | 100.0 % | 1 |
Ukraine | 0.1 % | 2 |
Kyiv city | 50.0 % | 1 |
Kyiv City | 100.0 % | 1 |
Kiev | 100.0 % | 1 |
Odessa Oblast | 50.0 % | 1 |
Odesa | 100.0 % | 1 |
Albania | 0.1 % | 1 |
Other | 100.0 % | 1 |
Durrës | 100.0 % | 1 |
Belarus | 0.1 % | 1 |
Minskaja voblasć | 100.0 % | 1 |
Minski rajon | 100.0 % | 1 |
Minsk | 100.0 % | 1 |
British Virgin Islands | 0.1 % | 1 |
Virgin Gorda | 100.0 % | 1 |
Cambodia | 0.1 % | 1 |
Phnom Penh | 100.0 % | 1 |
Chamkarmon | 100.0 % | 1 |
Phnom Penh | 100.0 % | 1 |
China | 0.1 % | 1 |
Jiangsu Sheng | 100.0 % | 1 |
Nanjing Shi | 100.0 % | 1 |
Cyprus | 0.1 % | 1 |
Paphos | 100.0 % | 1 |
Paphos | 100.0 % | 1 |
Egypt | 0.1 % | 1 |
Giza Governorate | 100.0 % | 1 |
Giza | 100.0 % | 1 |
El Salvador | 0.1 % | 1 |
La Libertad | 100.0 % | 1 |
Antiguo Cuscatlán | 100.0 % | 1 |
Finland | 0.1 % | 1 |
Uusimaa | 100.0 % | 1 |
Helsinki | 100.0 % | 1 |
Ireland | 0.1 % | 1 |
Mayo | 100.0 % | 1 |
Ballina | 100.0 % | 1 |
Kuwait | 0.1 % | 1 |
Al Asimah | 100.0 % | 1 |
Kuwait City | 100.0 % | 1 |
Latvia | 0.1 % | 1 |
Rīgas pilsēta | 100.0 % | 1 |
Rīga | 100.0 % | 1 |
Lebanon | 0.1 % | 1 |
Beirut | 100.0 % | 1 |
Maldives | 0.1 % | 1 |
North Central Province | 100.0 % | 1 |
Kaafu Atoll | 100.0 % | 1 |
Moldova | 0.1 % | 1 |
Chișinău | 100.0 % | 1 |
Chişinău | 100.0 % | 1 |
Morocco | 0.1 % | 1 |
Marrakech-Tensift-Al Haouz | 100.0 % | 1 |
Marrakech | 100.0 % | 1 |
Marrakech | 100.0 % | 1 |
Mozambique | 0.1 % | 1 |
Maputo | 100.0 % | 1 |
Myanmar (Burma) | 0.1 % | 1 |
Shan | 100.0 % | 1 |
Lashio | 100.0 % | 1 |
Lashio | 100.0 % | 1 |
New Zealand | 0.1 % | 1 |
Canterbury | 100.0 % | 1 |
Christchurch City | 100.0 % | 1 |
Christchurch | 100.0 % | 1 |
Norway | 0.1 % | 1 |
Oslo | 100.0 % | 1 |
Pakistan | 0.1 % | 1 |
Punjab | 100.0 % | 1 |
Lahore District | 100.0 % | 1 |
Lahore | 100.0 % | 1 |
Panamá | 0.1 % | 1 |
Bocas del Toro | 100.0 % | 1 |
Bocas del Toro | 100.0 % | 1 |
Puerto Rico | 0.1 % | 1 |
San Juan | 100.0 % | 1 |
San Juan | 100.0 % | 1 |
Romania | 0.1 % | 1 |
Municipiul București | 100.0 % | 1 |
București | 100.0 % | 1 |
Saudi Arabia | 0.1 % | 1 |
Makkah Province | 100.0 % | 1 |
Jeddah | 100.0 % | 1 |
Slovakia | 0.1 % | 1 |
Bratislava Region | 100.0 % | 1 |
Senec District | 100.0 % | 1 |
Chorvátsky Grob | 100.0 % | 1 |
Sri Lanka | 0.1 % | 1 |
Central Province | 100.0 % | 1 |
Nuwara Eliya | 100.0 % | 1 |
Nuwara Eliya | 100.0 % | 1 |
The Bahamas | 0.1 % | 1 |
New Providence | 100.0 % | 1 |
Turks and Caicos Islands | 0.1 % | 1 |
Caicos Islands | 100.0 % | 1 |
Providenciales | 100.0 % | 1 |
Cooper Jack Bay Settlement | 100.0 % | 1 |
Vietnam | 0.1 % | 1 |
Hồ Chí Minh | 100.0 % | 1 |
Quận 1 | 100.0 % | 1 |
Ho Chi Minh City | 100.0 % | 1 |
5119 followers analizados
Hashtags más utilizados
22
Publicaciones
9
Hashtags
0.4 por foto
Hashtag | Ocurrencias |
---|---|
#committosomething | 7 |
#itsnotfitnessitslife | 2 |
#happyholidays | 2 |
#eqxshop | 1 |
#thecut | 1 |
#newyearseve | 1 |
#eqxapp | 1 |
#merrychristmas | 1 |
#eqxnutrition | 1 |
Palabras más utilizadas
22
Publicaciones
162
Palabras
7.4 por foto
Hashtag | Ocurrencias |
---|---|
regram | 7 |
commit | 4 |
what | 3 |
new | 3 |
year | 3 |
put | 2 |
progress | 2 |
them | 2 |
hard | 2 |
know | 2 |
not | 2 |
commitment | 2 |
2016 | 2 |
when | 2 |
stand | 1 |
even | 1 |
means | 1 |
standing | 1 |
alone | 1 |
display | 1 |
_dee_m | 1 |
hit | 1 |
look | 1 |
good | 1 |
doing | 1 |
january | 1 |
just | 1 |
superdanger | 1 |
concrete | 1 |
jungle | 1 |
has | 1 |
addition | 1 |
introducing | 1 |
equinox | 1 |
53rd | 1 |
street | 1 |
committing | 1 |
refusing | 1 |
any | 1 |
other | 1 |
outcome | 1 |
massmusings | 1 |
get | 1 |
more | 1 |
done | 1 |
table | 1 |
dinner | 1 |
three | 1 |
want | 1 |
make | 1 |
change | 1 |
Filtros más usados
Ranking de los posts con más engagement
Likes, Comentarios y Publicaciones por día
22
Publicaciones
32382
Likes
1471.9 por foto
2637
Comentarios
119.9 por foto
58752
Engagement
2670.5 por foto
Engagement medio diario
22
Publicaciones
58752
Engagement
2670.5 por foto
Porcentaje de Engagement diario
22
Publicaciones
2.9 %
% Engagement
58752
Engagement
2670.5 por foto
Hashtags con más engagement
Filtros con más engagement
Likes y Comentarios por día de la semana
Likes y Comentarios por hora del día
Mejor día para publicar
martes
100%
viernes
52%
lunes
34%
Mejor hora para publicar
15:00-16:00
100%
16:00-17:00
43%
21:00-22:00
39%
Mejor día y hora para publicar
martes: 14:00-16:00
100%
viernes: 16:00-18:00
20%
martes: 16:00-18:00
15%
Publicaciones
Foto/Video | Mensaje | Likes | Comentarios | Engagement | Hashtags | Fecha |
---|---|---|---|---|---|---|
Table for one. Dinner for three. #CommitToSomething |
4726 | 1186 | 16586 | #committosomething | 1452003276 05 de enero de 2016 15:14 +0100 | |
Commit to not committing. #CommitToSomething |
1345 | 438 | 5725 | #committosomething | 1452266067 08 de enero de 2016 16:14 +0100 | |
When the sun rises on 2016, what will you commit to? #ItsNotFitnessItsLife
Regram: @tstrudwick |
2031 | 118 | 3211 | #itsnotfitnessitslife | 1451402119 29 de diciembre de 2015 16:15 +0100 | |
True commitment doesn't care what day it is. While most were still sleeping, our first NYC member in 2016 was hitting the New Year hard. |
2182 | 77 | 2952 | 1451665504 01 de enero de 2016 17:25 +0100 | ||
The concrete jungle has a new addition. Introducing: Equinox 53rd Street. |
1533 | 88 | 2413 | 1452539066 11 de enero de 2016 20:04 +0100 | ||
Commit to us this January. Or commit to them. Just #CommitToSomething |
1012 | 124 | 2252 | #committosomething | 1452696947 13 de enero de 2016 15:55 +0100 | |
Move to the beat, and put a beating on the competition. #TheCut |
1129 | 103 | 2159 | #thecut | 1451752769 02 de enero de 2016 17:39 +0100 | |
Put your progress on display.
Regram: @_dee_m |
1842 | 30 | 2142 | 1453062342 17 de enero de 2016 21:25 +0100 | ||
Because tomorrow, it's business as usual. #MerryChristmas |
1416 | 50 | 1916 | #merrychristmas | 1451050099 25 de diciembre de 2015 14:28 +0100 | |
This year, if you want to make a change, #CommitToSomething. |
798 | 110 | 1898 | #committosomething | 1451930700 04 de enero de 2016 19:05 +0100 | |
New year, same attitude. #NewYearsEve |
1534 | 35 | 1884 | #newyearseve | 1451570431 31 de diciembre de 2015 15:00 +0100 | |
Expertly-trained, highly decorated. #HappyHolidays
Regram: @steven_menard |
1523 | 33 | 1853 | #happyholidays | 1450888413 23 de diciembre de 2015 17:33 +0100 | |
You know what to do. #CommitToSomething
Regram: @superdanger |
1473 | 32 | 1793 | #committosomething | 1452616230 12 de enero de 2016 17:30 +0100 | |
Progress is refusing any other outcome.
Regram: @MassMusings |
1408 | 18 | 1588 | 1452181323 07 de enero de 2016 16:42 +0100 | ||
Stand for it. Even if it means standing alone. #CommitToSomething |
1176 | 32 | 1496 | #committosomething | 1453126461 18 de enero de 2016 15:14 +0100 | |
We know commitment when we see it. #ItsNotFitnessItsLife |
1222 | 17 | 1392 | #itsnotfitnessitslife | 1451144685 26 de diciembre de 2015 16:44 +0100 | |
For the committed, the spotlight is always on.
Regram: @Shandazzzle |
1246 | 14 | 1386 | 1451847358 03 de enero de 2016 19:55 +0100 | ||
A present from us to you: us. #HappyHolidays
Regram: @ac_bodylanguage |
1212 | 15 | 1362 | #happyholidays | 1450970175 24 de diciembre de 2015 16:16 +0100 | |
One touch opens up a world of possibility. #EQXapp |
965 | 33 | 1295 | #eqxapp | 1451239123 27 de diciembre de 2015 18:58 +0100 | |
‘Tis the season to listen to your body. 50% of the time our eating habits are dictated by emotion, not hunger. #EQXNutrition |
987 | 22 | 1207 | #eqxnutrition | 1450814078 22 de diciembre de 2015 20:54 +0100 | |
Hit them hard. Look good doing it. #EQXShop |
996 | 20 | 1196 | #eqxshop | 1452874661 15 de enero de 2016 17:17 +0100 | |
#CommitToSomething and get more done. |
626 | 42 | 1046 | #committosomething | 1452092940 06 de enero de 2016 16:09 +0100 |