Análisis en Instagram de @tsingtao
Periodo analizado: 17/10/2015 al 16/11/2015
Actualizado el 18 de noviembre de 2015 17:09 +0100
305 Publicaciones
1222 Seguidos
3583 Seguidores
Historial de followers
Top potential contributors
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roguehomme 40011
-
beard.rave.repeat 38191
-
naina.co 16302
-
cerpaexport 15917
3411 followers analizados
Porcentaje de followers con perfil público y privado
3411 followers analizados
Género de followers
3411 followers analizados
Mapa de algunas fotos de los seguidores
2648 followers analizados
Procedencia de los seguidores
2663
Perfiles públicos
2648
Analizados
1095
Localizados
60
Paises
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 25.0 % | 274 |
China | 9.3 % | 102 |
South Korea | 8.3 % | 91 |
United Kingdom | 7.6 % | 83 |
Australia | 6.9 % | 76 |
Italy | 3.7 % | 41 |
Other | 43.6 % | 469 |
Localizaciones | Porcentaje (%) | Seguidores |
---|---|---|
United States | 25.0 % | 274 |
California | 32.1 % | 88 |
Los Angeles County | 46.6 % | 41 |
Los Angeles | 53.7 % | 22 |
Paramount | 7.3 % | 3 |
Santa Monica | 7.3 % | 3 |
Inglewood | 4.9 % | 2 |
Monterey Park | 4.9 % | 2 |
Redondo Beach | 4.9 % | 2 |
Arcadia | 2.4 % | 1 |
Carson | 2.4 % | 1 |
Malibu | 2.4 % | 1 |
Other | 2.4 % | 1 |
Pasadena | 2.4 % | 1 |
Westlake Village | 2.4 % | 1 |
Whittier | 2.4 % | 1 |
San Francisco County | 10.2 % | 9 |
San Francisco | 100.0 % | 9 |
Santa Clara County | 8.0 % | 7 |
Santa Clara | 42.9 % | 3 |
Los Gatos | 14.3 % | 1 |
Milpitas | 14.3 % | 1 |
Morgan Hill | 14.3 % | 1 |
San Jose | 14.3 % | 1 |
Orange County | 6.8 % | 6 |
Huntington Beach | 16.7 % | 1 |
Ladera Ranch | 16.7 % | 1 |
Laguna Beach | 16.7 % | 1 |
Los Alamitos | 16.7 % | 1 |
Rancho Santa Margarita | 16.7 % | 1 |
Santa Ana | 16.7 % | 1 |
San Diego County | 4.5 % | 4 |
San Diego | 75.0 % | 3 |
Encinitas | 25.0 % | 1 |
Alameda County | 3.4 % | 3 |
Berkeley | 100.0 % | 3 |
Riverside County | 3.4 % | 3 |
Riverside | 66.7 % | 2 |
Temecula | 33.3 % | 1 |
San Bernardino County | 3.4 % | 3 |
Chino | 33.3 % | 1 |
Loma Linda | 33.3 % | 1 |
Ontario | 33.3 % | 1 |
Ventura County | 2.3 % | 2 |
Thousand Oaks | 50.0 % | 1 |
Ventura | 50.0 % | 1 |
Yolo County | 2.3 % | 2 |
West Sacramento | 100.0 % | 2 |
Contra Costa County | 1.1 % | 1 |
Lafayette | 100.0 % | 1 |
Fresno County | 1.1 % | 1 |
Fresno | 100.0 % | 1 |
Kings County | 1.1 % | 1 |
Lemoore | 100.0 % | 1 |
Sacramento County | 1.1 % | 1 |
Elk Grove | 100.0 % | 1 |
Santa Barbara County | 1.1 % | 1 |
Santa Barbara | 100.0 % | 1 |
Solano County | 1.1 % | 1 |
Vallejo | 100.0 % | 1 |
Sonoma County | 1.1 % | 1 |
Santa Rosa | 100.0 % | 1 |
Stanislaus County | 1.1 % | 1 |
Modesto | 100.0 % | 1 |
New York | 17.5 % | 48 |
New York County | 66.7 % | 32 |
New York | 100.0 % | 32 |
Queens County | 6.3 % | 3 |
Suffolk County | 6.3 % | 3 |
Saint James | 66.7 % | 2 |
Brightwaters | 33.3 % | 1 |
Kings County | 4.2 % | 2 |
Monroe County | 2.1 % | 1 |
Rochester | 100.0 % | 1 |
Nassau County | 2.1 % | 1 |
Garden City | 100.0 % | 1 |
Onondaga County | 2.1 % | 1 |
Syracuse | 100.0 % | 1 |
Orange County | 2.1 % | 1 |
New Windsor | 100.0 % | 1 |
Rockland County | 2.1 % | 1 |
New City | 100.0 % | 1 |
Steuben County | 2.1 % | 1 |
Naples | 100.0 % | 1 |
Ulster County | 2.1 % | 1 |
Woodstock | 100.0 % | 1 |
Westchester County | 2.1 % | 1 |
North Salem | 100.0 % | 1 |
Florida | 6.9 % | 19 |
Miami-Dade County | 21.1 % | 4 |
Miami Beach | 50.0 % | 2 |
Miami | 25.0 % | 1 |
Opa-locka | 25.0 % | 1 |
Broward County | 15.8 % | 3 |
Fort Lauderdale | 33.3 % | 1 |
Hollywood | 33.3 % | 1 |
Sunrise | 33.3 % | 1 |
Hillsborough County | 15.8 % | 3 |
Tampa | 100.0 % | 3 |
Orange County | 15.8 % | 3 |
Orlando | 100.0 % | 3 |
Duval County | 10.5 % | 2 |
Jacksonville | 100.0 % | 2 |
Bay County | 5.3 % | 1 |
Panama City Beach | 100.0 % | 1 |
Marion County | 5.3 % | 1 |
Ocala | 100.0 % | 1 |
Palm Beach County | 5.3 % | 1 |
Manalapan | 100.0 % | 1 |
Seminole County | 5.3 % | 1 |
Maitland | 100.0 % | 1 |
Texas | 5.5 % | 15 |
Bexar County | 20.0 % | 3 |
San Antonio | 100.0 % | 3 |
Dallas County | 20.0 % | 3 |
Dallas | 100.0 % | 3 |
Harris County | 13.3 % | 2 |
Houston | 100.0 % | 2 |
Montgomery County | 13.3 % | 2 |
Montgomery | 50.0 % | 1 |
Spring | 50.0 % | 1 |
Brazoria County | 6.7 % | 1 |
Pearland | 100.0 % | 1 |
Collin County | 6.7 % | 1 |
Plano | 100.0 % | 1 |
Fort Bend County | 6.7 % | 1 |
Missouri City | 100.0 % | 1 |
Nueces County | 6.7 % | 1 |
Corpus Christi | 100.0 % | 1 |
Travis County | 6.7 % | 1 |
Austin | 100.0 % | 1 |
Washington | 3.3 % | 9 |
King County | 88.9 % | 8 |
Seattle | 87.5 % | 7 |
Renton | 12.5 % | 1 |
Benton County | 11.1 % | 1 |
Kennewick | 100.0 % | 1 |
Pennsylvania | 2.9 % | 8 |
Philadelphia County | 37.5 % | 3 |
Philadelphia | 100.0 % | 3 |
Adams County | 12.5 % | 1 |
Gettysburg | 100.0 % | 1 |
Indiana County | 12.5 % | 1 |
Indiana | 100.0 % | 1 |
Lancaster County | 12.5 % | 1 |
Lancaster | 100.0 % | 1 |
Lehigh County | 12.5 % | 1 |
Whitehall | 100.0 % | 1 |
Montgomery County | 12.5 % | 1 |
Willow Grove | 100.0 % | 1 |
Massachusetts | 2.6 % | 7 |
Suffolk County | 71.4 % | 5 |
Boston | 100.0 % | 5 |
Middlesex County | 14.3 % | 1 |
Waltham | 100.0 % | 1 |
Norfolk County | 14.3 % | 1 |
Foxborough | 100.0 % | 1 |
Illinois | 2.2 % | 6 |
Cook County | 83.3 % | 5 |
Chicago | 100.0 % | 5 |
Madison County | 16.7 % | 1 |
Edwardsville | 100.0 % | 1 |
New Jersey | 2.2 % | 6 |
Essex County | 33.3 % | 2 |
Newark | 100.0 % | 2 |
Atlantic County | 16.7 % | 1 |
Egg Harbor Township | 100.0 % | 1 |
Bergen County | 16.7 % | 1 |
Wyckoff | 100.0 % | 1 |
Gloucester County | 16.7 % | 1 |
Washington Township | 100.0 % | 1 |
Somerset County | 16.7 % | 1 |
Franklin Township | 100.0 % | 1 |
Arizona | 1.8 % | 5 |
Maricopa County | 80.0 % | 4 |
Mesa | 25.0 % | 1 |
Phoenix | 25.0 % | 1 |
Scottsdale | 25.0 % | 1 |
Tempe | 25.0 % | 1 |
Mohave County | 20.0 % | 1 |
Lake Havasu City | 100.0 % | 1 |
Colorado | 1.8 % | 5 |
Denver County | 60.0 % | 3 |
Denver | 100.0 % | 3 |
El Paso County | 20.0 % | 1 |
Calhan | 100.0 % | 1 |
Larimer County | 20.0 % | 1 |
Estes Park | 100.0 % | 1 |
Minnesota | 1.8 % | 5 |
Hennepin County | 60.0 % | 3 |
Minneapolis | 100.0 % | 3 |
Le Sueur County | 20.0 % | 1 |
Le Sueur | 100.0 % | 1 |
Ramsey County | 20.0 % | 1 |
Saint Paul | 100.0 % | 1 |
District of Columbia | 1.5 % | 4 |
Washington | 100.0 % | 4 |
Georgia | 1.5 % | 4 |
Cherokee County | 25.0 % | 1 |
Woodstock | 100.0 % | 1 |
Clarke County | 25.0 % | 1 |
Athens | 100.0 % | 1 |
Fulton County | 25.0 % | 1 |
Atlanta | 100.0 % | 1 |
Gwinnett County | 25.0 % | 1 |
Duluth | 100.0 % | 1 |
Ohio | 1.5 % | 4 |
Cuyahoga County | 50.0 % | 2 |
Cleveland | 100.0 % | 2 |
Franklin County | 25.0 % | 1 |
Columbus | 100.0 % | 1 |
Hamilton County | 25.0 % | 1 |
Madeira | 100.0 % | 1 |
Utah | 1.5 % | 4 |
Salt Lake County | 50.0 % | 2 |
Midvale | 50.0 % | 1 |
Sandy | 50.0 % | 1 |
Summit County | 25.0 % | 1 |
Park City | 100.0 % | 1 |
Utah County | 25.0 % | 1 |
Provo | 100.0 % | 1 |
Connecticut | 1.1 % | 3 |
Fairfield County | 33.3 % | 1 |
Fairfield | 100.0 % | 1 |
New Haven County | 33.3 % | 1 |
Milford | 100.0 % | 1 |
New London County | 33.3 % | 1 |
Montville | 100.0 % | 1 |
Michigan | 1.1 % | 3 |
Oakland County | 66.7 % | 2 |
Clarkston | 50.0 % | 1 |
West Bloomfield Township | 50.0 % | 1 |
Washtenaw County | 33.3 % | 1 |
Ann Arbor | 100.0 % | 1 |
Nevada | 1.1 % | 3 |
Clark County | 100.0 % | 3 |
Las Vegas | 100.0 % | 3 |
North Carolina | 1.1 % | 3 |
Wake County | 66.7 % | 2 |
Apex | 50.0 % | 1 |
Raleigh | 50.0 % | 1 |
Mecklenburg County | 33.3 % | 1 |
Charlotte | 100.0 % | 1 |
Oregon | 1.1 % | 3 |
Multnomah County | 66.7 % | 2 |
Portland | 100.0 % | 2 |
Washington County | 33.3 % | 1 |
Beaverton | 100.0 % | 1 |
South Carolina | 1.1 % | 3 |
Lexington County | 66.7 % | 2 |
Cayce | 100.0 % | 2 |
Horry County | 33.3 % | 1 |
North Myrtle Beach | 100.0 % | 1 |
Tennessee | 1.1 % | 3 |
Davidson County | 100.0 % | 3 |
Nashville | 100.0 % | 3 |
Hawaii | 0.7 % | 2 |
Honolulu County | 100.0 % | 2 |
Honolulu | 50.0 % | 1 |
Kaneohe | 50.0 % | 1 |
Louisiana | 0.7 % | 2 |
East Baton Rouge Parish | 50.0 % | 1 |
Baton Rouge | 100.0 % | 1 |
Orleans Parish | 50.0 % | 1 |
New Orleans | 100.0 % | 1 |
Maryland | 0.7 % | 2 |
Montgomery County | 50.0 % | 1 |
Rockville | 100.0 % | 1 |
Other | 50.0 % | 1 |
Baltimore | 100.0 % | 1 |
Mississippi | 0.7 % | 2 |
Adams County | 50.0 % | 1 |
Natchez | 100.0 % | 1 |
Rankin County | 50.0 % | 1 |
Flowood | 100.0 % | 1 |
Wisconsin | 0.7 % | 2 |
Milwaukee County | 100.0 % | 2 |
Milwaukee | 100.0 % | 2 |
Alabama | 0.4 % | 1 |
Lauderdale County | 100.0 % | 1 |
Florence | 100.0 % | 1 |
Idaho | 0.4 % | 1 |
Ada County | 100.0 % | 1 |
Boise | 100.0 % | 1 |
Maine | 0.4 % | 1 |
Waldo County | 100.0 % | 1 |
Unity | 100.0 % | 1 |
Missouri | 0.4 % | 1 |
Jackson County | 100.0 % | 1 |
Lee's Summit | 100.0 % | 1 |
Vermont | 0.4 % | 1 |
Caledonia County | 100.0 % | 1 |
Lyndon | 100.0 % | 1 |
Virginia | 0.4 % | 1 |
Albemarle County | 100.0 % | 1 |
Charlottesville | 100.0 % | 1 |
China | 9.3 % | 102 |
Shanghai Shi | 34.3 % | 35 |
Shanghai | 100.0 % | 35 |
Beijing Shi | 22.5 % | 23 |
Beijing | 100.0 % | 23 |
Shandong Sheng | 14.7 % | 15 |
Qingdao Shi | 80.0 % | 12 |
Jinan Shi | 20.0 % | 3 |
Guangdong Sheng | 5.9 % | 6 |
Shenzhen Shi | 66.7 % | 4 |
Chaozhou Shi | 16.7 % | 1 |
Guangzhou Shi | 16.7 % | 1 |
Jiangsu Sheng | 5.9 % | 6 |
Nanjing Shi | 66.7 % | 4 |
Suzhou Shi | 33.3 % | 2 |
Guangdong | 2.9 % | 3 |
Dongguan | 33.3 % | 1 |
Guangzhou | 33.3 % | 1 |
Huizhou | 33.3 % | 1 |
Sichuan Sheng | 2.9 % | 3 |
Chengdu Shi | 66.7 % | 2 |
Aba Zangzuqiangzuzizhizhou | 33.3 % | 1 |
Hebei Sheng | 2.0 % | 2 |
Qinhuangdao Shi | 50.0 % | 1 |
Zhangjiakou Shi | 50.0 % | 1 |
Zhejiang Sheng | 2.0 % | 2 |
Hangzhou Shi | 100.0 % | 2 |
Beijing | 1.0 % | 1 |
Beijing | 100.0 % | 1 |
Fujian Sheng | 1.0 % | 1 |
Xiamen Shi | 100.0 % | 1 |
Heilongjiang Sheng | 1.0 % | 1 |
Haerbin Shi | 100.0 % | 1 |
Henan Sheng | 1.0 % | 1 |
Luoyang Shi | 100.0 % | 1 |
Tianjin Shi | 1.0 % | 1 |
Tianjin | 100.0 % | 1 |
Yunnan Sheng | 1.0 % | 1 |
Diqing Zangzuzizhizhou | 100.0 % | 1 |
Zhejiang | 1.0 % | 1 |
Ningbo | 100.0 % | 1 |
South Korea | 8.3 % | 91 |
Seoul | 65.9 % | 60 |
Seoul | 100.0 % | 60 |
Busan | 6.6 % | 6 |
Busan | 100.0 % | 6 |
Gyeonggi-do | 4.4 % | 4 |
Goyang-si | 75.0 % | 3 |
Suwon | 25.0 % | 1 |
Jeju-do | 4.4 % | 4 |
Cheju | 75.0 % | 3 |
Seogwipo | 25.0 % | 1 |
Gwangju | 3.3 % | 3 |
Gwangju | 100.0 % | 3 |
Chungcheongbuk-do | 2.2 % | 2 |
Cheongju | 100.0 % | 2 |
Daegu | 2.2 % | 2 |
Daegu | 100.0 % | 2 |
Daejeon | 2.2 % | 2 |
Daejeon | 100.0 % | 2 |
Gyeongsangnam-do | 2.2 % | 2 |
Jeollanam-do | 2.2 % | 2 |
Muan | 50.0 % | 1 |
Suncheon | 50.0 % | 1 |
Chungcheongnam-do | 1.1 % | 1 |
Cheonan | 100.0 % | 1 |
Gangwon-do | 1.1 % | 1 |
Jeongseon | 100.0 % | 1 |
Gyeongsangbuk-do | 1.1 % | 1 |
Yeongcheon | 100.0 % | 1 |
Incheon | 1.1 % | 1 |
Incheon | 100.0 % | 1 |
United Kingdom | 7.6 % | 83 |
England | 80.7 % | 67 |
Greater London | 53.7 % | 36 |
London | 88.9 % | 32 |
Richmond | 8.3 % | 3 |
Barnet | 2.8 % | 1 |
Greater Manchester | 4.5 % | 3 |
Manchester | 100.0 % | 3 |
Lancashire | 4.5 % | 3 |
Lytham Saint Annes | 33.3 % | 1 |
Other | 33.3 % | 1 |
Preston | 33.3 % | 1 |
Devon | 3.0 % | 2 |
Buckfastleigh | 50.0 % | 1 |
Exeter | 50.0 % | 1 |
Merseyside | 3.0 % | 2 |
Birkenhead | 50.0 % | 1 |
Liverpool | 50.0 % | 1 |
Other | 3.0 % | 2 |
Hull | 100.0 % | 2 |
Warrington | 3.0 % | 2 |
Warrington | 100.0 % | 2 |
Warwickshire | 3.0 % | 2 |
Ryton-on-Dunsmore | 50.0 % | 1 |
Stratford-upon-Avon | 50.0 % | 1 |
West Yorkshire | 3.0 % | 2 |
Leeds | 100.0 % | 2 |
Bournemouth | 1.5 % | 1 |
Bournemouth | 100.0 % | 1 |
Darlington | 1.5 % | 1 |
Essex | 1.5 % | 1 |
Hampshire | 1.5 % | 1 |
Milton Keynes | 1.5 % | 1 |
North Yorkshire | 1.5 % | 1 |
Scarborough | 100.0 % | 1 |
Southampton | 1.5 % | 1 |
Southampton | 100.0 % | 1 |
Southend-on-Sea | 1.5 % | 1 |
Southend-on-Sea | 100.0 % | 1 |
Swindon | 1.5 % | 1 |
Swindon | 100.0 % | 1 |
Tyne and Wear | 1.5 % | 1 |
Newcastle upon Tyne | 100.0 % | 1 |
West Midlands | 1.5 % | 1 |
Birmingham | 100.0 % | 1 |
West Sussex | 1.5 % | 1 |
Chichester | 100.0 % | 1 |
Worcestershire | 1.5 % | 1 |
Worcester | 100.0 % | 1 |
Scotland | 10.8 % | 9 |
Edinburgh | 33.3 % | 3 |
Edinburgh | 100.0 % | 3 |
North Ayrshire | 22.2 % | 2 |
Kilwinning | 50.0 % | 1 |
Other | 50.0 % | 1 |
Argyll and Bute | 11.1 % | 1 |
East Lothian | 11.1 % | 1 |
Glasgow City | 11.1 % | 1 |
Glasgow | 100.0 % | 1 |
South Lanarkshire | 11.1 % | 1 |
Wales | 7.2 % | 6 |
Cardiff | 50.0 % | 3 |
Cardiff | 100.0 % | 3 |
Conwy | 16.7 % | 1 |
Isle of Anglesey | 16.7 % | 1 |
Beaumaris | 100.0 % | 1 |
Newport | 16.7 % | 1 |
Duffryn | 100.0 % | 1 |
Northern Ireland | 1.2 % | 1 |
Lisburn | 100.0 % | 1 |
Lisburn | 100.0 % | 1 |
Australia | 6.9 % | 76 |
New South Wales | 57.9 % | 44 |
Port Jackson | 47.7 % | 21 |
Matraville | 15.9 % | 7 |
Ryde | 9.1 % | 4 |
Bowral | 2.3 % | 1 |
Colo Vale | 2.3 % | 1 |
Crooked Corner | 2.3 % | 1 |
Dural | 2.3 % | 1 |
Minto | 2.3 % | 1 |
Nelson | 2.3 % | 1 |
Newcastle | 2.3 % | 1 |
North Gosford | 2.3 % | 1 |
Other | 2.3 % | 1 |
Pokolbin | 2.3 % | 1 |
South Durras | 2.3 % | 1 |
The Entrance | 2.3 % | 1 |
Victoria | 19.7 % | 15 |
Melbourne | 60.0 % | 9 |
Clayton South | 13.3 % | 2 |
Coburg North | 6.7 % | 1 |
Lilydale | 6.7 % | 1 |
Mount Eliza | 6.7 % | 1 |
Other | 6.7 % | 1 |
Queensland | 9.2 % | 7 |
Bowen Hills | 42.9 % | 3 |
Moffat Beach | 14.3 % | 1 |
Mudgeeraba | 14.3 % | 1 |
Noosa Heads | 14.3 % | 1 |
Runcorn | 14.3 % | 1 |
Western Australia | 7.9 % | 6 |
Perth | 50.0 % | 3 |
Alkimos | 16.7 % | 1 |
Cottesloe | 16.7 % | 1 |
Other | 16.7 % | 1 |
South Australia | 5.3 % | 4 |
Aberfoyle Park | 25.0 % | 1 |
Adelaide | 25.0 % | 1 |
Hahndorf | 25.0 % | 1 |
Other | 25.0 % | 1 |
Italy | 3.7 % | 41 |
Lombardia | 34.1 % | 14 |
Città Metropolitana di Milano | 57.1 % | 8 |
Milano | 75.0 % | 6 |
Pioltello | 12.5 % | 1 |
Trezzo sull'Adda | 12.5 % | 1 |
Provincia di Monza e della Brianza | 14.3 % | 2 |
Monza | 100.0 % | 2 |
Provincia di Pavia | 14.3 % | 2 |
Bascapè | 50.0 % | 1 |
Pavia | 50.0 % | 1 |
Provincia di Bergamo | 7.1 % | 1 |
Provincia di Varese | 7.1 % | 1 |
Cavaria Con Premezzo | 100.0 % | 1 |
Lazio | 22.0 % | 9 |
Città Metropolitana di Roma | 88.9 % | 8 |
Roma | 87.5 % | 7 |
Fiumicino | 12.5 % | 1 |
Provincia di Frosinone | 11.1 % | 1 |
Frosinone | 100.0 % | 1 |
Campania | 7.3 % | 3 |
Città Metropolitana di Napoli | 100.0 % | 3 |
Napoli | 66.7 % | 2 |
Ercolano | 33.3 % | 1 |
Veneto | 7.3 % | 3 |
Città Metropolitana di Venezia | 66.7 % | 2 |
Venezia | 100.0 % | 2 |
Provincia di Padova | 33.3 % | 1 |
Campodarsego | 100.0 % | 1 |
Abruzzo | 4.9 % | 2 |
Provincia di Chieti | 50.0 % | 1 |
Provincia di Teramo | 50.0 % | 1 |
Silvi Paese | 100.0 % | 1 |
Lombardy | 4.9 % | 2 |
Metropolitan City of Milan | 100.0 % | 2 |
Milan | 100.0 % | 2 |
Toscana | 4.9 % | 2 |
Provincia di Lucca | 50.0 % | 1 |
Lucca | 100.0 % | 1 |
Provincia di Prato | 50.0 % | 1 |
Fornacelle | 100.0 % | 1 |
Emilia-Romagna | 2.4 % | 1 |
Città Metropolitana di Bologna | 100.0 % | 1 |
Monte Catone | 100.0 % | 1 |
Marche | 2.4 % | 1 |
Provincia di Ancona | 100.0 % | 1 |
Ancona | 100.0 % | 1 |
Piemonte | 2.4 % | 1 |
Città Metropolitana di Torino | 100.0 % | 1 |
Torino | 100.0 % | 1 |
Puglia | 2.4 % | 1 |
Provincia di Brindisi | 100.0 % | 1 |
San Pancrazio Salentino | 100.0 % | 1 |
Sicilia | 2.4 % | 1 |
Provincia di Siracusa | 100.0 % | 1 |
Siracusa | 100.0 % | 1 |
Trentino-Alto Adige | 2.4 % | 1 |
Bozen | 100.0 % | 1 |
Bozen | 100.0 % | 1 |
Other | 43.6 % | 469 |
Hong Kong | 3.2 % | 35 |
New Territories | 65.7 % | 23 |
Kwai Tsing District | 60.9 % | 14 |
Hong Kong | 100.0 % | 14 |
Islands District | 13.0 % | 3 |
Hong Kong | 100.0 % | 3 |
Other | 8.7 % | 2 |
Yuen Long District | 8.7 % | 2 |
Hong Kong | 100.0 % | 2 |
Sai Kung District | 4.3 % | 1 |
Hong Kong | 100.0 % | 1 |
Tai Po District | 4.3 % | 1 |
Hong Kong | 100.0 % | 1 |
Hong Kong Island | 34.3 % | 12 |
Southern District | 100.0 % | 12 |
Hong Kong | 100.0 % | 12 |
France | 2.6 % | 28 |
Île-de-France | 32.1 % | 9 |
Paris | 77.8 % | 7 |
Paris | 100.0 % | 7 |
Seine-et-Marne | 22.2 % | 2 |
Le Mesnil-Amelot | 50.0 % | 1 |
Serris | 50.0 % | 1 |
Rhône-Alpes | 14.3 % | 4 |
Haute-Savoie | 50.0 % | 2 |
Le Grand-Bornand | 50.0 % | 1 |
Sciez | 50.0 % | 1 |
Rhône | 50.0 % | 2 |
Chaponost | 50.0 % | 1 |
Villeurbanne | 50.0 % | 1 |
Midi-Pyrénées | 10.7 % | 3 |
Haute-Garonne | 100.0 % | 3 |
Toulouse | 66.7 % | 2 |
Montastruc-la-Conseillère | 33.3 % | 1 |
Provence-Alpes-Côte d'Azur | 10.7 % | 3 |
Var | 66.7 % | 2 |
Hyères | 50.0 % | 1 |
Solliès-Toucas | 50.0 % | 1 |
Alpes-Maritimes | 33.3 % | 1 |
Cannes | 100.0 % | 1 |
Languedoc-Roussillon | 7.1 % | 2 |
Hérault | 100.0 % | 2 |
Castelnau-le-Lez | 100.0 % | 2 |
Alsace | 3.6 % | 1 |
Bas-Rhin | 100.0 % | 1 |
Strasbourg | 100.0 % | 1 |
Aquitaine | 3.6 % | 1 |
Landes | 100.0 % | 1 |
Soorts-Hossegor | 100.0 % | 1 |
Basse-Normandie | 3.6 % | 1 |
Manche | 100.0 % | 1 |
Agon-Coutainville | 100.0 % | 1 |
Centre | 3.6 % | 1 |
Indre-et-Loire | 100.0 % | 1 |
Chenonceaux | 100.0 % | 1 |
Champagne-Ardenne | 3.6 % | 1 |
Marne | 100.0 % | 1 |
Épernay | 100.0 % | 1 |
Nord-Pas-de-Calais | 3.6 % | 1 |
Nord | 100.0 % | 1 |
Lille | 100.0 % | 1 |
Pays de la Loire | 3.6 % | 1 |
Sarthe | 100.0 % | 1 |
Le Mans | 100.0 % | 1 |
Canada | 2.5 % | 27 |
Québec | 40.7 % | 11 |
Communauté-Urbaine-de-Montréal | 63.6 % | 7 |
Montréal | 100.0 % | 7 |
Communauté-Urbaine-de-Québec | 18.2 % | 2 |
Québec | 100.0 % | 2 |
Champlain | 9.1 % | 1 |
Longueuil | 100.0 % | 1 |
Laval | 9.1 % | 1 |
Laval | 100.0 % | 1 |
Ontario | 33.3 % | 9 |
Toronto Division | 55.6 % | 5 |
Toronto | 100.0 % | 5 |
York Regional Municipality | 22.2 % | 2 |
Markham | 50.0 % | 1 |
Whitchurch-Stouffville | 50.0 % | 1 |
Essex County | 11.1 % | 1 |
Leamington | 100.0 % | 1 |
Peel Regional Municipality | 11.1 % | 1 |
Mississauga | 100.0 % | 1 |
British Columbia | 22.2 % | 6 |
Greater Vancouver | 100.0 % | 6 |
Vancouver | 50.0 % | 3 |
Burnaby | 33.3 % | 2 |
Richmond | 16.7 % | 1 |
Alberta | 3.7 % | 1 |
Division No. 6 | 100.0 % | 1 |
Calgary | 100.0 % | 1 |
Brazil | 2.4 % | 26 |
São Paulo | 46.2 % | 12 |
São Paulo | 41.7 % | 5 |
São Paulo | 100.0 % | 5 |
São Caetano do Sul | 16.7 % | 2 |
São Caetano do Sul | 100.0 % | 2 |
Campinas | 8.3 % | 1 |
Campinas | 100.0 % | 1 |
Cotia | 8.3 % | 1 |
Cotia | 100.0 % | 1 |
Ribeirão Preto | 8.3 % | 1 |
Ribeirão Preto | 100.0 % | 1 |
São Sebastião | 8.3 % | 1 |
São Sebastião | 100.0 % | 1 |
Votuporanga | 8.3 % | 1 |
Votuporanga | 100.0 % | 1 |
Santa Catarina | 19.2 % | 5 |
São José | 40.0 % | 2 |
São José | 100.0 % | 2 |
Florianópolis | 20.0 % | 1 |
Florianópolis | 100.0 % | 1 |
Itajaí | 20.0 % | 1 |
Itajaí | 100.0 % | 1 |
Joinville | 20.0 % | 1 |
Joinville | 100.0 % | 1 |
Rio de Janeiro | 11.5 % | 3 |
Rio de Janeiro | 66.7 % | 2 |
Rio de Janeiro | 100.0 % | 2 |
Barra do Piraí | 33.3 % | 1 |
Barra do Piraí | 100.0 % | 1 |
Rio Grande do Sul | 7.7 % | 2 |
Cambará do Sul | 50.0 % | 1 |
Cambará do Sul | 100.0 % | 1 |
Pelotas | 50.0 % | 1 |
Pelotas | 100.0 % | 1 |
Bahia | 3.8 % | 1 |
Mata de São João | 100.0 % | 1 |
Mata de São João | 100.0 % | 1 |
Distrito Federal | 3.8 % | 1 |
Brasília | 100.0 % | 1 |
Brasília | 100.0 % | 1 |
Minas Gerais | 3.8 % | 1 |
Cachoeira Dourada | 100.0 % | 1 |
Cachoeira Dourada | 100.0 % | 1 |
Pernambuco | 3.8 % | 1 |
Recife | 100.0 % | 1 |
Recife | 100.0 % | 1 |
Philippines | 2.0 % | 22 |
Metro Manila | 59.1 % | 13 |
NCR - National Capital Region | 69.2 % | 9 |
Makati | 100.0 % | 9 |
Other | 30.8 % | 4 |
Quezon City | 75.0 % | 3 |
Muntinlupa | 25.0 % | 1 |
Central Visayas | 9.1 % | 2 |
Bohol | 50.0 % | 1 |
Carmen | 100.0 % | 1 |
Cebu | 50.0 % | 1 |
Cebu City | 100.0 % | 1 |
Calabarzon | 4.5 % | 1 |
Rizal | 100.0 % | 1 |
Taytay | 100.0 % | 1 |
Caraga | 4.5 % | 1 |
Surigao del Norte | 100.0 % | 1 |
Surigao City | 100.0 % | 1 |
Central Luzon | 4.5 % | 1 |
Pampanga | 100.0 % | 1 |
Santa Ana | 100.0 % | 1 |
Davao Region | 4.5 % | 1 |
Davao del Sur | 100.0 % | 1 |
Davao City | 100.0 % | 1 |
MIMAROPA | 4.5 % | 1 |
Palawan | 100.0 % | 1 |
El Nido | 100.0 % | 1 |
Rehiyong Ilocos | 4.5 % | 1 |
Lalawigan ng Pangasinan | 100.0 % | 1 |
Villasis | 100.0 % | 1 |
Zamboanga Peninsula | 4.5 % | 1 |
Zamboanga del Norte | 100.0 % | 1 |
Dipolog City | 100.0 % | 1 |
Japan | 1.9 % | 21 |
Tōkyō-to | 52.4 % | 11 |
Shibuya-ku | 81.8 % | 9 |
Sumida-ku | 18.2 % | 2 |
Hokkaido Prefecture | 9.5 % | 2 |
Sapporo | 100.0 % | 2 |
Kyoto Prefecture | 9.5 % | 2 |
Kyoto | 100.0 % | 2 |
Okinawa Prefecture | 9.5 % | 2 |
Naha | 100.0 % | 2 |
Aichi-ken | 4.8 % | 1 |
Nagoya-shi | 100.0 % | 1 |
Hiroshima-ken | 4.8 % | 1 |
Kitahiroshima-chō | 100.0 % | 1 |
Kanagawa Prefecture | 4.8 % | 1 |
Fujisawa | 100.0 % | 1 |
Okinawa-ken | 4.8 % | 1 |
Onna-son | 100.0 % | 1 |
Uruguay | 1.8 % | 20 |
Departamento de Montevideo | 60.0 % | 12 |
Montevideo | 100.0 % | 12 |
Departamento de Canelones | 30.0 % | 6 |
Other | 83.3 % | 5 |
Pando | 16.7 % | 1 |
Departamento de Florida | 5.0 % | 1 |
Florida | 100.0 % | 1 |
Florida | 5.0 % | 1 |
Cerro Chato | 100.0 % | 1 |
Germany | 1.6 % | 17 |
Nordrhein-Westfalen | 29.4 % | 5 |
Arnsberg | 40.0 % | 2 |
Dortmund | 50.0 % | 1 |
Iserlohn | 50.0 % | 1 |
Düsseldorf | 40.0 % | 2 |
Essen | 50.0 % | 1 |
Wuppertal | 50.0 % | 1 |
Köln | 20.0 % | 1 |
Köln | 100.0 % | 1 |
Berlin | 23.5 % | 4 |
Berlin | 100.0 % | 4 |
Lower Saxony | 17.6 % | 3 |
Other | 33.3 % | 1 |
Ronnenberg | 33.3 % | 1 |
Wolfsburg | 33.3 % | 1 |
Bayern | 11.8 % | 2 |
Mittelfranken | 50.0 % | 1 |
Rothenburg ob der Tauber | 100.0 % | 1 |
Oberbayern | 50.0 % | 1 |
München | 100.0 % | 1 |
Bremen | 5.9 % | 1 |
Bremen | 100.0 % | 1 |
Hesse | 5.9 % | 1 |
Kassel | 100.0 % | 1 |
Kassel | 100.0 % | 1 |
Sachsen | 5.9 % | 1 |
Chemnitz | 100.0 % | 1 |
Falkenstein/Vogtland | 100.0 % | 1 |
Russia | 1.6 % | 17 |
Moscow | 23.5 % | 4 |
gorod Moskva | 100.0 % | 4 |
Moscow | 50.0 % | 2 |
Moskva | 50.0 % | 2 |
Primorskiy kray | 17.6 % | 3 |
gorod Vladivostok | 66.7 % | 2 |
Vladivostok | 100.0 % | 2 |
gorod Artem | 33.3 % | 1 |
Artem | 100.0 % | 1 |
Krasnodarskiy kray | 11.8 % | 2 |
gorod Krasnodar | 50.0 % | 1 |
Krasnodar | 100.0 % | 1 |
gorod-kurort Sochi | 50.0 % | 1 |
Sochi | 100.0 % | 1 |
Saint Petersburg | 11.8 % | 2 |
gorod Sankt-Peterburg | 100.0 % | 2 |
Sankt-Peterburg | 100.0 % | 2 |
Chelyabinskaya oblast' | 5.9 % | 1 |
gorod Chelyabinsk | 100.0 % | 1 |
Chelyabinsk | 100.0 % | 1 |
Kaliningradskaya oblast' | 5.9 % | 1 |
gorod Kaliningrad | 100.0 % | 1 |
Kaliningrad | 100.0 % | 1 |
Novosibirskaya oblast' | 5.9 % | 1 |
gorod Novosibirsk | 100.0 % | 1 |
Novosibirsk | 100.0 % | 1 |
Rostovskaya oblast' | 5.9 % | 1 |
gorod Taganrog | 100.0 % | 1 |
Taganrog | 100.0 % | 1 |
Sverdlovskaya oblast' | 5.9 % | 1 |
gorod Ekaterinburg | 100.0 % | 1 |
Yekaterinburg | 100.0 % | 1 |
gorod Sankt-Peterburg | 5.9 % | 1 |
Pavlovsk | 100.0 % | 1 |
México | 1.5 % | 16 |
Distrito Federal | 25.0 % | 4 |
Ciudad de México | 100.0 % | 4 |
Nuevo León | 18.8 % | 3 |
San Pedro Garza García | 66.7 % | 2 |
San Pedro Garza García | 100.0 % | 2 |
Apodaca | 33.3 % | 1 |
Estado de México | 12.5 % | 2 |
Atizapán de Zaragoza | 50.0 % | 1 |
Ciudad López Mateos | 100.0 % | 1 |
Ixtapaluca | 50.0 % | 1 |
San Buenaventura | 100.0 % | 1 |
Jalisco | 12.5 % | 2 |
Guadalajara | 100.0 % | 2 |
Guadalajara | 100.0 % | 2 |
Quintana Roo | 12.5 % | 2 |
Solidaridad | 100.0 % | 2 |
Other | 50.0 % | 1 |
Playa del Carmen | 50.0 % | 1 |
Baja California Sur | 6.3 % | 1 |
Los Cabos | 100.0 % | 1 |
Cabo San Lucas | 100.0 % | 1 |
Durango | 6.3 % | 1 |
Durango | 100.0 % | 1 |
Oaxaca | 6.3 % | 1 |
Oaxaca de Juárez | 100.0 % | 1 |
Oaxaca | 100.0 % | 1 |
Malaysia | 1.4 % | 15 |
Sarawak | 40.0 % | 6 |
Bahagian Kuching | 83.3 % | 5 |
Kuching | 100.0 % | 5 |
Bahagian Miri | 16.7 % | 1 |
Miri | 100.0 % | 1 |
Melaka | 20.0 % | 3 |
Melaka | 100.0 % | 3 |
Pulau Pinang | 13.3 % | 2 |
Pulau Pinang | 100.0 % | 2 |
Wilayah Persekutuan Kuala Lumpur | 13.3 % | 2 |
Kuala Lumpur | 100.0 % | 2 |
Sabah | 6.7 % | 1 |
Bahagian Tawau | 100.0 % | 1 |
Lahad Datu | 100.0 % | 1 |
Selangor | 6.7 % | 1 |
Petaling Jaya | 100.0 % | 1 |
Thailand | 1.2 % | 13 |
Krung Thep Maha Nakhon | 69.2 % | 9 |
Bangkok | 100.0 % | 9 |
Chang Wat Phetchabun | 7.7 % | 1 |
Amphoe Khao Kho | 100.0 % | 1 |
Tambon Khao Kho | 100.0 % | 1 |
Chang Wat Phuket | 7.7 % | 1 |
Amphoe Mueang Phuket | 100.0 % | 1 |
Tambon Rawai | 100.0 % | 1 |
Chang Wat Prachuap Khiri Khan | 7.7 % | 1 |
Amphoe Hua Hin | 100.0 % | 1 |
Tambon Hua Hin | 100.0 % | 1 |
Chang Wat Surat Thani | 7.7 % | 1 |
Amphoe Ko Pha-ngan | 100.0 % | 1 |
Tambon Ko Pha-ngan | 100.0 % | 1 |
España | 1.0 % | 11 |
Comunidad de Madrid | 54.5 % | 6 |
Madrid | 100.0 % | 6 |
Madrid | 83.3 % | 5 |
San Sebastián de los Reyes | 16.7 % | 1 |
Andalucía | 18.2 % | 2 |
Cádiz | 50.0 % | 1 |
Cádiz | 100.0 % | 1 |
Huelva | 50.0 % | 1 |
Ayamonte | 100.0 % | 1 |
Catalunya | 18.2 % | 2 |
Barcelona | 100.0 % | 2 |
Badalona | 50.0 % | 1 |
Barcelona | 50.0 % | 1 |
Euskadi | 9.1 % | 1 |
Gipuzkoa | 100.0 % | 1 |
Donostia | 100.0 % | 1 |
Norway | 0.8 % | 9 |
Hordaland | 33.3 % | 3 |
Bergen | 33.3 % | 1 |
Bergen | 100.0 % | 1 |
Kvam | 33.3 % | 1 |
Os | 33.3 % | 1 |
Akershus | 22.2 % | 2 |
Asker | 50.0 % | 1 |
Bærum | 50.0 % | 1 |
Oslo | 22.2 % | 2 |
Nordland | 11.1 % | 1 |
Sortland | 100.0 % | 1 |
Østfold | 11.1 % | 1 |
Sarpsborg | 100.0 % | 1 |
Singapore | 0.8 % | 9 |
Other | 100.0 % | 9 |
Singapore | 100.0 % | 9 |
Argentina | 0.7 % | 8 |
Ciudad Autónoma de Buenos Aires | 62.5 % | 5 |
Comuna 15 | 60.0 % | 3 |
Buenos Aires | 100.0 % | 3 |
Comuna 1 | 40.0 % | 2 |
Buenos Aires | 100.0 % | 2 |
Entre Ríos | 25.0 % | 2 |
Gualeguaychú | 50.0 % | 1 |
Islas del Ibicuy | 50.0 % | 1 |
Buenos Aires | 12.5 % | 1 |
Malvinas Argentinas | 100.0 % | 1 |
Los Polvorines | 100.0 % | 1 |
Chile | 0.7 % | 8 |
Región Metropolitana | 50.0 % | 4 |
Santiago | 100.0 % | 4 |
Santiago | 100.0 % | 4 |
IX Región | 12.5 % | 1 |
Cautín | 100.0 % | 1 |
Temuco | 100.0 % | 1 |
Región de Arica y Parinacota | 12.5 % | 1 |
Arica | 100.0 % | 1 |
Arica | 100.0 % | 1 |
VI Región | 12.5 % | 1 |
Cachapoal | 100.0 % | 1 |
XI Región | 12.5 % | 1 |
Aysen | 100.0 % | 1 |
Puerto Aysen | 100.0 % | 1 |
Netherlands | 0.7 % | 8 |
Noord-Holland | 50.0 % | 4 |
Amsterdam | 75.0 % | 3 |
Amsterdam | 100.0 % | 3 |
Haarlem | 25.0 % | 1 |
Haarlem | 100.0 % | 1 |
Overijssel | 25.0 % | 2 |
Steenwijkerland | 100.0 % | 2 |
Giethoorn | 100.0 % | 2 |
Zuid-Holland | 25.0 % | 2 |
Rotterdam | 50.0 % | 1 |
Rotterdam | 100.0 % | 1 |
Zoetermeer | 50.0 % | 1 |
Zoetermeer | 100.0 % | 1 |
Poland | 0.7 % | 8 |
mazowieckie | 37.5 % | 3 |
Warszawa | 100.0 % | 3 |
Warszawa | 100.0 % | 3 |
Greater Poland Voivodeship | 12.5 % | 1 |
Poznań County | 100.0 % | 1 |
Poznań | 100.0 % | 1 |
Silesian Voivodeship | 12.5 % | 1 |
Sosnowiec | 100.0 % | 1 |
Sosnowiec | 100.0 % | 1 |
Województwo dolnośląskie | 12.5 % | 1 |
Wrocław | 100.0 % | 1 |
Wrocław | 100.0 % | 1 |
opolskie | 12.5 % | 1 |
nyski | 100.0 % | 1 |
Nysa | 100.0 % | 1 |
pomorskie | 12.5 % | 1 |
Gdynia | 100.0 % | 1 |
Gdynia | 100.0 % | 1 |
Finland | 0.5 % | 6 |
Uusimaa | 66.7 % | 4 |
Helsinki | 75.0 % | 3 |
Other | 25.0 % | 1 |
Ostrobothnia | 16.7 % | 1 |
Päijänne Tavastia | 16.7 % | 1 |
South Africa | 0.5 % | 6 |
Gauteng | 83.3 % | 5 |
East Rand | 40.0 % | 2 |
Germiston | 100.0 % | 2 |
City of Johannesburg Metropolitan Municipality | 20.0 % | 1 |
Johannesburg | 100.0 % | 1 |
Pretoria | 20.0 % | 1 |
Centurion | 100.0 % | 1 |
West Rand | 20.0 % | 1 |
Krugersdorp | 100.0 % | 1 |
Western Cape | 16.7 % | 1 |
Cape Town | 100.0 % | 1 |
Cape Town | 100.0 % | 1 |
Costa Rica | 0.5 % | 5 |
San José | 60.0 % | 3 |
Other | 66.7 % | 2 |
Ciudad Colón | 50.0 % | 1 |
San Rafael de Escazu | 50.0 % | 1 |
Montes de Oca | 33.3 % | 1 |
Sabanilla | 100.0 % | 1 |
Guanacaste | 20.0 % | 1 |
Puntarenas | 20.0 % | 1 |
Puntarenas | 100.0 % | 1 |
Denmark | 0.5 % | 5 |
Capital Region of Denmark | 60.0 % | 3 |
København | 100.0 % | 3 |
Copenhagen | 100.0 % | 3 |
Region Syddanmark | 40.0 % | 2 |
Aabenraa Municipality | 50.0 % | 1 |
Kruså | 100.0 % | 1 |
Varde Municipality | 50.0 % | 1 |
Ølgod | 100.0 % | 1 |
India | 0.5 % | 5 |
Maharashtra | 60.0 % | 3 |
Mumbai | 66.7 % | 2 |
Mumbai | 100.0 % | 2 |
Mumbai Suburban | 33.3 % | 1 |
Mumbai | 100.0 % | 1 |
Rajasthan | 40.0 % | 2 |
Bikaner | 50.0 % | 1 |
Bikaner | 100.0 % | 1 |
Jodhpur | 50.0 % | 1 |
Jodhpur | 100.0 % | 1 |
Indonesia | 0.5 % | 5 |
Bali | 40.0 % | 2 |
Kabupaten Badung | 50.0 % | 1 |
Klungkung | 50.0 % | 1 |
Special Capital Region of Jakarta | 40.0 % | 2 |
North Jakarta City | 100.0 % | 2 |
Daerah Khusus Ibukota Jakarta | 20.0 % | 1 |
Kota Jakarta Selatan | 100.0 % | 1 |
Macau | 0.5 % | 5 |
Other | 100.0 % | 5 |
Macau | 100.0 % | 5 |
Portugal | 0.5 % | 5 |
Lisboa | 60.0 % | 3 |
Lisbon | 100.0 % | 3 |
Lisboa | 100.0 % | 3 |
Leiria | 20.0 % | 1 |
Óbidos | 100.0 % | 1 |
Lisbon | 20.0 % | 1 |
Cascais | 100.0 % | 1 |
Switzerland | 0.5 % | 5 |
Vaud | 60.0 % | 3 |
Lausanne | 66.7 % | 2 |
Lausanne | 100.0 % | 2 |
Riviera-Pays-d'Enhaut | 33.3 % | 1 |
Vevey | 100.0 % | 1 |
Basel-Stadt | 20.0 % | 1 |
Basel | 100.0 % | 1 |
Zürich | 20.0 % | 1 |
Zürich | 100.0 % | 1 |
Turkey | 0.5 % | 5 |
İstanbul | 80.0 % | 4 |
Fatih | 50.0 % | 2 |
Istanbul | 100.0 % | 2 |
Ataşehir | 25.0 % | 1 |
Istanbul | 100.0 % | 1 |
Şişli | 25.0 % | 1 |
Maslak Mahallesi | 100.0 % | 1 |
Antalya | 20.0 % | 1 |
Alanya | 100.0 % | 1 |
Colombia | 0.4 % | 4 |
Bogotá | 75.0 % | 3 |
Bogotá | 100.0 % | 3 |
Valle del Cauca | 25.0 % | 1 |
Cali | 100.0 % | 1 |
Cali | 100.0 % | 1 |
Greece | 0.4 % | 4 |
Attica | 50.0 % | 2 |
Athens | 50.0 % | 1 |
Other | 50.0 % | 1 |
Crete | 25.0 % | 1 |
Makedonia Thraki | 25.0 % | 1 |
Kentriki Makedonia | 100.0 % | 1 |
New Zealand | 0.4 % | 4 |
Auckland | 25.0 % | 1 |
Auckland | 100.0 % | 1 |
Hawke's Bay | 25.0 % | 1 |
Hastings District | 100.0 % | 1 |
Hastings | 100.0 % | 1 |
Otago | 25.0 % | 1 |
Dunedin City | 100.0 % | 1 |
Mosgiel | 100.0 % | 1 |
Wellington | 25.0 % | 1 |
Wellington City | 100.0 % | 1 |
Wellington | 100.0 % | 1 |
United Arab Emirates | 0.4 % | 4 |
Abu Dhabi | 50.0 % | 2 |
Abu Dhabi | 50.0 % | 1 |
Al Rahba | 50.0 % | 1 |
Dubai | 50.0 % | 2 |
Dubai | 100.0 % | 2 |
Ireland | 0.3 % | 3 |
Dublin | 66.7 % | 2 |
Dublin City | 50.0 % | 1 |
Dublin | 100.0 % | 1 |
Fingal | 50.0 % | 1 |
Swords | 100.0 % | 1 |
Galway | 33.3 % | 1 |
Puerto Rico | 0.3 % | 3 |
Carolina | 33.3 % | 1 |
Carolina | 100.0 % | 1 |
Morovis | 33.3 % | 1 |
Fránquez | 100.0 % | 1 |
Morovis | 100.0 % | 1 |
Ponce | 33.3 % | 1 |
Ponce | 100.0 % | 1 |
Reunion | 0.3 % | 3 |
Saint Pierre | 33.3 % | 1 |
Saint-Denis | 33.3 % | 1 |
Saint Denis | 100.0 % | 1 |
Saint-Paul | 33.3 % | 1 |
Romania | 0.3 % | 3 |
Municipiul București | 66.7 % | 2 |
București | 100.0 % | 2 |
Județul Cluj | 33.3 % | 1 |
Municipiul Cluj - Napoca | 100.0 % | 1 |
Cluj-Napoca | 100.0 % | 1 |
Sweden | 0.3 % | 3 |
Stockholm County | 66.7 % | 2 |
Stockholm | 100.0 % | 2 |
Stockholm | 100.0 % | 2 |
Stockholms län | 33.3 % | 1 |
Södertälje | 100.0 % | 1 |
Venezuela | 0.3 % | 3 |
Carabobo | 33.3 % | 1 |
Municipio Autónomo Los Guayos | 100.0 % | 1 |
Los Guayos | 100.0 % | 1 |
Distrito Capital | 33.3 % | 1 |
Libertador | 100.0 % | 1 |
Caracas | 100.0 % | 1 |
Zulia | 33.3 % | 1 |
Maracaibo | 100.0 % | 1 |
Maracaibo | 100.0 % | 1 |
Vietnam | 0.3 % | 3 |
Quảng Nam | 66.7 % | 2 |
tp. Hội An | 100.0 % | 2 |
Hồ Chí Minh | 33.3 % | 1 |
Quận 1 | 100.0 % | 1 |
Ho Chi Minh City | 100.0 % | 1 |
Austria | 0.2 % | 2 |
Wien | 100.0 % | 2 |
Wien | 100.0 % | 2 |
Czech Republic | 0.2 % | 2 |
Hlavní město Praha | 100.0 % | 2 |
Prague | 100.0 % | 2 |
Estados Unidos | 0.2 % | 2 |
Texas | 100.0 % | 2 |
Cameron County | 50.0 % | 1 |
Harlingen | 100.0 % | 1 |
Webb County | 50.0 % | 1 |
Laredo | 100.0 % | 1 |
Hungary | 0.2 % | 2 |
Budapest | 100.0 % | 2 |
Budapest | 100.0 % | 2 |
Nicaragua | 0.2 % | 2 |
León | 50.0 % | 1 |
León | 100.0 % | 1 |
Rivas | 50.0 % | 1 |
El Coyol | 100.0 % | 1 |
Perú | 0.2 % | 2 |
Cuzco | 50.0 % | 1 |
Cusco | 100.0 % | 1 |
Other | 50.0 % | 1 |
Lima | 100.0 % | 1 |
Miraflores | 100.0 % | 1 |
Croatia | 0.1 % | 1 |
Splitsko-dalmatinska županija | 100.0 % | 1 |
Općina Vis | 100.0 % | 1 |
Rukavac | 100.0 % | 1 |
Ecuador | 0.1 % | 1 |
Santa Elena | 100.0 % | 1 |
Salinas | 100.0 % | 1 |
Israel | 0.1 % | 1 |
Jerusalem District | 100.0 % | 1 |
Jerusalem | 100.0 % | 1 |
Liberia | 0.1 % | 1 |
Montserrado | 100.0 % | 1 |
Greater Monrovia | 100.0 % | 1 |
Monrovia | 100.0 % | 1 |
Northern Mariana Islands | 0.1 % | 1 |
Saipan | 100.0 % | 1 |
Capitol Hill | 100.0 % | 1 |
Paraguay | 0.1 % | 1 |
Central | 100.0 % | 1 |
Lambare | 100.0 % | 1 |
Asunción | 100.0 % | 1 |
Slovenia | 0.1 % | 1 |
Radovljica | 100.0 % | 1 |
Municipality of Bled | 100.0 % | 1 |
Bled | 100.0 % | 1 |
Taiwan | 0.1 % | 1 |
New Taipei City | 100.0 % | 1 |
Tajikistan | 0.1 % | 1 |
Districts of Republican Subordination | 100.0 % | 1 |
Vahdat District | 100.0 % | 1 |
Dushanbe | 100.0 % | 1 |
2648 followers analizados
Hashtags más utilizados
18
Publicaciones
132
Hashtags
7.3 por foto
Hashtag | Ocurrencias |
---|---|
#tsingtao | 18 |
#cheers | 18 |
#ganbei | 18 |
#tsingtaobeer | 18 |
#drink | 17 |
#beers | 17 |
#beer | 17 |
#drinks | 16 |
#instadrink | 14 |
#instabeer | 14 |
#instagood | 14 |
#yummy | 10 |
#yum | 10 |
#food | 8 |
#tasty | 8 |
#delicious | 8 |
#foods | 7 |
#snacks | 4 |
#snack | 4 |
#thankgoditstsingtao | 3 |
#tgif | 3 |
#instafood | 3 |
#party | 3 |
#drinkup | 3 |
#friday | 2 |
#thankgoditsfriday | 2 |
#kiwi | 2 |
#fruit | 2 |
#fruits | 2 |
#fun | 2 |
#sciencefiction | 2 |
#film | 2 |
#movie | 2 |
#scifi | 2 |
#macau | 1 |
#auto | 1 |
#hk | 1 |
#sport | 1 |
#audi | 1 |
#car | 1 |
#hongkong | 1 |
#race | 1 |
#win | 1 |
#phoenix | 1 |
#jason | 1 |
#lucky | 1 |
#friday13th | 1 |
#tsingtaoatthemovies | 1 |
#voorhees | 1 |
#jasonvoorhees | 1 |
#unlucky | 1 |
Palabras más utilizadas
18
Publicaciones
270
Palabras
15.0 por foto
Hashtag | Ocurrencias |
---|---|
tsingtao | 5 |
macau | 2 |
gotta | 2 |
snacks | 2 |
whats | 2 |
have | 2 |
proud | 1 |
announce | 1 |
will | 1 |
official | 1 |
partner | 1 |
audi | 1 |
sport | 1 |
team | 1 |
phoenix | 1 |
cup | 1 |
live | 1 |
hong | 1 |
kong | 1 |
visit | 1 |
1 | |
page | 1 |
link | 1 |
bio | 1 |
tickets | 1 |
race | 1 |
bottle | 1 |
opener | 1 |
what | 1 |
just | 1 |
keep | 1 |
simple | 1 |
maybe | 1 |
kind | 1 |
more | 1 |
alley | 1 |
favourite | 1 |
snack | 1 |
most | 1 |
untraditional | 1 |
burger | 1 |
topping | 1 |
youve | 1 |
had | 1 |
there | 1 |
better | 1 |
pairing | 1 |
chicken | 1 |
enjoy | 1 |
any | 1 |
fruits | 1 |
Filtros más usados
Ranking de los posts con más engagement
Likes, Comentarios y Publicaciones por día
18
Publicaciones
1639
Likes
91.1 por foto
47
Comentarios
2.6 por foto
2028
Engagement
112.7 por foto
Engagement medio diario
18
Publicaciones
2028
Engagement
112.7 por foto
Porcentaje de Engagement diario
18
Publicaciones
2.8 %
% Engagement
2028
Engagement
112.7 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
jueves
100%
martes
90%
miércoles
82%
Mejor hora para publicar
10:00-11:00
100%
16:00-17:00
94%
11:00-12:00
70%
Mejor día y hora para publicar
jueves: 10:00-12:00
100%
martes: 14:00-16:00
92%
jueves: 16:00-18:00
84%