Map
Videos
About
Under the hood
Contact
WORLD EMOTION GLOBAL TREND
WEAK
+0.5%
Tomorrow:
ANGRY
+2.9%
09/Nov/2016:
HAPPY
+1.7%
Last Data-set:
07/Nov/2016
05:13 UTC
▲
Laval, Canada
strong
+10.7% − San Sebastián, Spain
confused
+24.0% − Hamilton, Canada
confused
+21.0% − Yokkaichi, Japan
strong
+19.6% − San Cristóbal, Venezuela
weak
+18.5% − La Spezia, Italy
confused
+22.0% − PANAMA, Panama
strong
+3.1% − Monywa, Myanmar
confused
+22.1% − Ubon Ratchathani, Thailand
confused
+23.5% − Amiens, France
confused
+22.5% − The Wrekin, United Kingdom
happy
+23.6% − Lapu-Lapu, Philippines
strong
+24.6% − Paraná, Argentina
strong
+12.3% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Ndola, Zambia
happy
+17.9% − Anjo, Japan
strong
+2.2% − Regensburg, Germany
strong
+16.0% − Boksburg, South Africa
confused
+18.1% − Várzea Grande, Brazil
strong
+21.5% − Unnao, India
weak
+18.8% − Baranovichi, Belarus
strong
+18.5% − North York, Canada
strong
+20.2% − Arad, Romania
strong
+11.8% − Gaya, India
strong
+23.6% − The Wrekin, United Kingdom
happy
+23.6% − Oberhausen, Germany
weak
+19.1% − Abeokuta, Nigeria
happy
+19.5% − Smolensk, Russia
happy
+17.6% − Springfield, United States
confused
+5.1% − Surakarta, Indonesia
strong
+20.9% − Nizhnekamsk, Russia
confused
+21.0% − Susano, Brazil
strong
+1.7% − Shaoyang, China
weak
+21.8% − Piracicaba, Brazil
strong
+20.7% − Hachinohe, Japan
strong
+21.2% − Ulan-Ude, Russia
confused
+2.6% − Zonguldak, Turkey
strong
+22.9% − Tangshan, China
weak
+22.3% − Ambala, India
happy
+21.8% − Pohang, Korea, South
confused
+21.8% − Guarapuava, Brazil
strong
+18.9% − Tacoma, United States
confused
+20.3% − Lisburn, United Kingdom
strong
+19.9% − Xichang, China
confused
+20.3% − Remscheid, Germany
strong
+19.6% − ROAD TOWN, British Virgin Islands
confused
+22.0% − Malabon, Philippines
happy
+23.0% − Fresno, United States
strong
+21.7% − Jhang, Pakistan
strong
+23.9% − Vallejo, United States
confused
+21.9% − Maiduguri, Nigeria
confused
+21.6% − Waverley, United Kingdom
weak
+24.4% − Medellín, Colombia
strong
+21.8% − Abeokuta, Nigeria
happy
+19.5% − Tanga, Tanzania
confused
+20.3% − Cardiff, United Kingdom
strong
+16.1% − Daxian, China
sad
+23.8% − Engels, Russia
strong
+21.7% − LA HABANA, Cuba
strong
+18.2% − Vallejo, United States
confused
+21.9% − East Hampshire, United Kingdom
confused
+19.0% − Mulhouse, France
happy
+21.4% − Erlangen, Germany
confused
+22.9% − Ichikawa, Japan
strong
+4.5% − Chon Buri, Thailand
strong
+23.4% − Pinar del Río, Cuba
confused
+18.6% − Vadakara, India
sad
+6.6% − Thai Nguyen, Vietnam
sad
+18.1% − Tacoma, United States
confused
+20.3% − Chungju, Korea, South
sad
+4.6% − Huntington Beach, United States
strong
+23.2% − Ubon Ratchathani, Thailand
confused
+23.5% − Waitakere, New Zealand
confused
+23.5% − Jamalpur, Bangladesh
confused
+17.7% − BISHKEK, Kyrgyzstan
weak
+8.9% − Cangzhou, China
confused
+17.7% − Engels, Russia
strong
+21.7% − Zonguldak, Turkey
strong
+22.9% − Oberhausen, Germany
weak
+19.1% − Lubumbashi, Congo, Democratic Republic of the
sad
+19.0% − Jequié, Brazil
strong
+5.6% − Gurgaon, India
strong
+14.2% − Diyarbakir, Turkey
strong
+22.7% − Yavatmal, India
guilty
+24.6% − ST. GEORGES, Grenada
strong
+19.2% − BASSE-TERRE, Guadeloupe
strong
+24.8% − Raniganj, India
confused
+23.2% − Remscheid, Germany
strong
+19.6% − Fukuoka, Japan
weak
+13.4% − Yao, Japan
strong
+22.0% − BRIDGETOWN, Barbados
confused
+23.8% − Sedgemoor, United Kingdom
strong
+19.3% − Tegal, Indonesia
confused
+4.6% − Giza, Egypt
confused
+23.8% − TIRANA, Albania
sad
+18.7% − Pegu, Myanmar
confused
+24.1% − Kharagpur, India
strong
+17.6% − Guilin, China
strong
+3.0% − Warren, United States
strong
+22.1% − Beaumont, United States
confused
+12.1% − Kure, Japan
happy
+17.9% −
▼
Floridablanca, Colombia
strong
-22.9% − Sergiev Posad, Russia
happy
-17.8% − Kawachinagano, Japan
happy
-22.9% − Aguascalientes, Mexico
strong
-17.6% − Tampa, United States
confused
-19.1% − Richmond, United States
confused
-21.8% − MONROVIA, Liberia
happy
-23.4% − Sapucaia, Brazil
strong
-18.8% − Manchester, United Kingdom
strong
-9.2% − Palakkad, India
strong
-17.6% − Kisumu, Kenya
confused
-19.7% − Teignbridge, United Kingdom
confused
-20.2% − Kochi, India
strong
-24.8% − Bridgeport, United States
strong
-18.9% − Serra, Brazil
strong
-5.4% − Valencia, Venezuela
confused
-8.0% − Iseyin, Nigeria
happy
-22.8% − Toluca, Mexico
confused
-22.6% − Muntinlupa, Philippines
strong
-19.8% − Curitiba, Brazil
strong
-24.8% − Ingolstadt, Germany
strong
-14.9% − Peshawar, Pakistan
strong
-24.4% − Quezon City, Philippines
strong
-4.0% − Luohe, China
happy
-22.9% − Alexandria, United States
strong
-11.9% − Petrópolis, Brazil
strong
-18.6% − Anand, India
strong
-3.1% − Gujrat, Pakistan
strong
-22.0% − Adana, Turkey
confused
-23.4% − LISBON, Portugal
strong
-7.5% − Nhatrang, Vietnam
happy
-22.9% − Jinan, China
strong
-8.9% − Dourados, Brazil
strong
-1.2% − Crewe & Nantwich, United Kingdom
strong
-17.6% − South Cambridgeshire, United Kingdom
strong
-17.7% − Birmingham, United States
confused
-22.6% − Batangas, Philippines
strong
-22.8% − Jiamusi, China
strong
-18.6% − Mojokerto, Indonesia
strong
-13.8% − Hampton, United States
strong
-12.1% − Sefton, United Kingdom
strong
-5.2% − Cochabamba, Bolivia
strong
-23.2% − Zaria, Nigeria
confused
-18.6% − Leipzig, Germany
strong
-21.8% − Amagasaki, Japan
happy
-24.2% − Tanjung Balai, Indonesia
weak
-4.9% − Geelong, Australia
confused
-2.1% − Chiba, Japan
strong
-24.8% − Richmond, United States
confused
-21.8% − Brescia, Italy
strong
-18.6% − Magdeburg, Germany
strong
-23.7% − Chimbote, Peru
strong
-22.8% − Halifax, Canada
strong
-19.1% − Darlington, United Kingdom
strong
-24.3% − Fukuyama, Japan
strong
-22.7% − Sukabumi, Indonesia
happy
-9.2% − Bareilly, India
confused
-23.5% − Braila, Romania
strong
-17.5% − Kotte, Sri Lanka
confused
-1.5% − Chicago, United States
strong
-18.5% − Yingcheng, China
happy
-22.9% − Queimados, Brazil
strong
-20.4% − San Jose, United States
confused
-24.0% − Gent, Belgium
strong
-4.2% − Durango, Mexico
strong
-25.0% − San Pablo, Philippines
strong
-18.3% − Rouen, France
strong
-6.3% − NOUMEA, New Caledonia
strong
-18.8% − Kitchener, Canada
strong
-15.2% − Irving, United States
strong
-20.4% − Jersey City, United States
strong
-23.2% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% −
=
Mudangiang, China
happy
− Sirjan, Iran
happy
− Guangshui, China
happy
− Changweon, Korea, South
happy
− Holon, Israel
confused
− Dayuan, China
happy
− Shaown, China
happy
− Jastrzebie - Zdrój, Poland
confused
− Guikong, China
happy
− Shuangyashan, China
happy
− Niiza, Japan
happy
− Novocherkassk, Russia
happy
− Taldikorgan, Kazakstan
happy
− Juazeiro do Norte, Brazil
happy
− Kadhimain, Iraq
happy
− Sao José do Rio Prêto, Brazil
happy
− Khouribga, Morocco
sad
− Artux, China
happy
− Sidi-bel-Abbès, Algeria
happy
− Xiaocan, China
happy
− Kashihara, Japan
happy
− Kiselevsk, Russia
happy
− Jinin, China
happy
− Xuchang, China
happy
− San Fernando de Apure, Venezuela
strong
− Evpatoriya, Ukraine
happy
− Soyapango, El Salvador
happy
− Chinhae, Korea, South
happy
− Lipetsk, Russia
strong
− Pinxiang, China
happy
− Kanhangad, India
happy
− Yuncheng, China
weak
− Deir El-Zor, Syrian Arab Republic
happy
− Moji-Guaçu, Brazil
happy
− Meizhou, China
strong
− Kurume, Japan
guilty
− Dlepmealow, South Africa
happy
− Syktivkar, Russia
happy
− Ferraz de Vasconcelos, Brazil
happy
− Pórto Velho, Brazil
happy
− Taiyan, China
happy
− Al-Rakka, Syrian Arab Republic
happy
− Reggio di Calabria, Italy
happy
− Huaiyin, China
happy
− Nasariya, Iraq
happy
− Sao Joao de Meriti, Brazil
happy
− Debrezit, Ethiopia
happy
− Basingstoke & Deane, United Kingdom
happy
− Colimas, Mexico
happy
− Durg, India
weak
− Shanwei, China
confused
− Calithèa, Greece
happy
− Nandyal, India
happy
− Angren, Uzbekistan
confused
− Sialkote, Pakistan
happy
− Alagoinhas, Brazil
strong
− Bihar Sharif, India
happy
− Rubtsovsk, Russia
happy
− Chongli, China
weak
− Korla, China
strong
− Taian, China
confused
− Salamanca, Mexico
strong
−
Reset - Show All Layers
Select a group to display an individual emotion layer:
happy
excited
overjoyed
thrilled
exuberant
ecstatic
weak
helpless
hopeless
beat
overwhelmed
impotent
confused
bewildered
trapped
troubled
desperate
lost
afraid
terrified
horrified
scared stiff
petrified
fearful
guilty
sorrowful
remorseful
ashamed
unworthy
worthless
sad
depressed
disappointed
alone
hurt
left out
strong
powerful
aggressive
gung ho
potent
super
angry
furious
enraged
outraged
aggravated
irate