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
▲
Erlangen, Germany
confused
+22.9% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Raniganj, India
confused
+23.2% − ROAD TOWN, British Virgin Islands
confused
+22.0% − Pohang, Korea, South
confused
+21.8% − Medellín, Colombia
strong
+21.8% − Tyumen, Russia
strong
+7.1% − San Cristóbal, Venezuela
weak
+18.5% − Ichikawa, Japan
strong
+4.5% − Yokkaichi, Japan
strong
+19.6% − Remscheid, Germany
strong
+19.6% − Yao, Japan
strong
+22.0% − Silay, Philippines
happy
+19.9% − Ubon Ratchathani, Thailand
confused
+23.5% − Pegu, Myanmar
confused
+24.1% − Fukuoka, Japan
weak
+13.4% − BRIDGETOWN, Barbados
confused
+23.8% − Anjo, Japan
strong
+2.2% − Eastleigh, United Kingdom
happy
+19.0% − Sikar, India
confused
+24.6% − Boksburg, South Africa
confused
+18.1% − Beaumont, United States
confused
+12.1% − Engels, Russia
strong
+21.7% − Mbeya, Tanzania
confused
+22.8% − Chon Buri, Thailand
strong
+23.4% − Jequié, Brazil
strong
+5.6% − East Hampshire, United Kingdom
confused
+19.0% − Chungju, Korea, South
sad
+4.6% − Anyang, China
confused
+1.0% − Botou, China
strong
+24.2% − Tacoma, United States
confused
+20.3% − Chillán, Chile
strong
+21.7% − Laval, Canada
strong
+10.7% − Botou, China
strong
+24.2% − PANAMA, Panama
strong
+3.1% − Rangpur, Bangladesh
happy
+24.3% − Cangzhou, China
confused
+17.7% − Xichang, China
confused
+20.3% − Gurgaon, India
strong
+14.2% − Gurgaon, India
strong
+14.2% − Ulsan, Korea, South
confused
+24.5% − Smolensk, Russia
happy
+17.6% − Kure, Japan
happy
+17.9% − Ulan-Ude, Russia
confused
+2.6% − Pinar del Río, Cuba
confused
+18.6% − Waverley, United Kingdom
weak
+24.4% − Cardiff, United Kingdom
strong
+16.1% − Burgos, Spain
strong
+19.8% − Tarragona, Spain
strong
+21.8% − Shaoyang, China
weak
+21.8% − Kofu, Japan
confused
+20.9% − Fresno, United States
strong
+21.7% − Jhang, Pakistan
strong
+23.9% − Monywa, Myanmar
confused
+22.1% − Guarapuava, Brazil
strong
+18.9% − Surakarta, Indonesia
strong
+20.9% − Caruaru, Brazil
strong
+18.6% − Arad, Romania
strong
+11.8% − Mönchengladbach, Germany
happy
+14.7% − BISHKEK, Kyrgyzstan
weak
+8.9% − Ambala, India
happy
+21.8% − Lubumbashi, Congo, Democratic Republic of the
sad
+19.0% − Giza, Egypt
confused
+23.8% − Grodno, Belarus
sad
+19.8% − Remscheid, Germany
strong
+19.6% − Vadakara, India
sad
+6.6% − Xichang, China
confused
+20.3% − Sedgemoor, United Kingdom
strong
+19.3% − Piracicaba, Brazil
strong
+20.7% − Susano, Brazil
strong
+1.7% − Hachinohe, Japan
strong
+21.2% − Tacoma, United States
confused
+20.3% − Engels, Russia
strong
+21.7% − Paraná, Argentina
strong
+12.3% − Warren, United States
strong
+22.1% − Abeokuta, Nigeria
happy
+19.5% − Yavatmal, India
guilty
+24.6% − Guilin, China
strong
+3.0% − Phoenix, United States
strong
+11.7% − Baranovichi, Belarus
strong
+18.5% − Tangshan, China
weak
+22.3% − Hamilton, Canada
confused
+21.0% − Lisburn, United Kingdom
strong
+19.9% − Springfield, United States
confused
+5.1% − Maiduguri, Nigeria
confused
+21.6% − Waitakere, New Zealand
confused
+23.5% − Dunfermline, United Kingdom
confused
+6.9% − Nizhnekamsk, Russia
confused
+21.0% − LA HABANA, Cuba
strong
+18.2% − Mulhouse, France
happy
+21.4% − Zonguldak, Turkey
strong
+22.9% − The Wrekin, United Kingdom
happy
+23.6% − Pocos de Caldas, Brazil
strong
+24.0% − Erbil, Iraq
strong
+20.1% − Abeokuta, Nigeria
happy
+19.5% − Daxian, China
sad
+23.8% − BASSE-TERRE, Guadeloupe
strong
+24.8% − La Spezia, Italy
confused
+22.0% − Pinar del Río, Cuba
confused
+18.6% − TIRANA, Albania
sad
+18.7% − Tameside, United Kingdom
confused
+19.1% −
▼
LISBON, Portugal
strong
-7.5% − Petrópolis, Brazil
strong
-18.6% − Serra, Brazil
strong
-5.4% − Iseyin, Nigeria
happy
-22.8% − Ingolstadt, Germany
strong
-14.9% − Toluca, Mexico
confused
-22.6% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% − Peshawar, Pakistan
strong
-24.4% − Aguascalientes, Mexico
strong
-17.6% − Sapucaia, Brazil
strong
-18.8% − Chicago, United States
strong
-18.5% − Rouen, France
strong
-6.3% − Sergiev Posad, Russia
happy
-17.8% − Sefton, United Kingdom
strong
-5.2% − Jersey City, United States
strong
-23.2% − Yingcheng, China
happy
-22.9% − Floridablanca, Colombia
strong
-22.9% − Gujrat, Pakistan
strong
-22.0% − Muntinlupa, Philippines
strong
-19.8% − Bareilly, India
confused
-23.5% − Irving, United States
strong
-20.4% − Queimados, Brazil
strong
-20.4% − Alexandria, United States
strong
-11.9% − Luohe, China
happy
-22.9% − Gent, Belgium
strong
-4.2% − Leipzig, Germany
strong
-21.8% − NOUMEA, New Caledonia
strong
-18.8% − Birmingham, United States
confused
-22.6% − Nhatrang, Vietnam
happy
-22.9% − Sukabumi, Indonesia
happy
-9.2% − Cochabamba, Bolivia
strong
-23.2% − Teignbridge, United Kingdom
confused
-20.2% − Bridgeport, United States
strong
-18.9% − Darlington, United Kingdom
strong
-24.3% − Manchester, United Kingdom
strong
-9.2% − Jiamusi, China
strong
-18.6% − Kochi, India
strong
-24.8% − Amagasaki, Japan
happy
-24.2% − Kitchener, Canada
strong
-15.2% − Geelong, Australia
confused
-2.1% − Chimbote, Peru
strong
-22.8% − Richmond, United States
confused
-21.8% − South Cambridgeshire, United Kingdom
strong
-17.7% − Mojokerto, Indonesia
strong
-13.8% − Richmond, United States
confused
-21.8% − Magdeburg, Germany
strong
-23.7% − Tampa, United States
confused
-19.1% − San Pablo, Philippines
strong
-18.3% − Brescia, Italy
strong
-18.6% − Kisumu, Kenya
confused
-19.7% − Braila, Romania
strong
-17.5% − Curitiba, Brazil
strong
-24.8% − Chiba, Japan
strong
-24.8% − Anand, India
strong
-3.1% − Halifax, Canada
strong
-19.1% − Hampton, United States
strong
-12.1% − Jinan, China
strong
-8.9% − Dourados, Brazil
strong
-1.2% − Quezon City, Philippines
strong
-4.0% − Batangas, Philippines
strong
-22.8% − Palakkad, India
strong
-17.6% − MONROVIA, Liberia
happy
-23.4% − Kawachinagano, Japan
happy
-22.9% − Durango, Mexico
strong
-25.0% − Valencia, Venezuela
confused
-8.0% − Kotte, Sri Lanka
confused
-1.5% − Zaria, Nigeria
confused
-18.6% − Crewe & Nantwich, United Kingdom
strong
-17.6% − Fukuyama, Japan
strong
-22.7% − San Jose, United States
confused
-24.0% − Tanjung Balai, Indonesia
weak
-4.9% − Adana, Turkey
confused
-23.4% −
=
Sirjan, Iran
happy
− Shanwei, China
confused
− Durg, India
weak
− Sidi-bel-Abbès, Algeria
happy
− Guikong, China
happy
− Novocherkassk, Russia
happy
− Soyapango, El Salvador
happy
− Meizhou, China
strong
− Kanhangad, India
happy
− Sao Joao de Meriti, Brazil
happy
− Colimas, Mexico
happy
− Jinin, China
happy
− Kadhimain, Iraq
happy
− Pinxiang, China
happy
− Dlepmealow, South Africa
happy
− Kurume, Japan
guilty
− Deir El-Zor, Syrian Arab Republic
happy
− Jastrzebie - Zdrój, Poland
confused
− Chinhae, Korea, South
happy
− Xiaocan, China
happy
− Mudangiang, China
happy
− Shuangyashan, China
happy
− Dayuan, China
happy
− Taiyan, China
happy
− Reggio di Calabria, Italy
happy
− Lipetsk, Russia
strong
− Nandyal, India
happy
− Nasariya, Iraq
happy
− Niiza, Japan
happy
− Salamanca, Mexico
strong
− Moji-Guaçu, Brazil
happy
− Basingstoke & Deane, United Kingdom
happy
− Angren, Uzbekistan
confused
− Pórto Velho, Brazil
happy
− Rubtsovsk, Russia
happy
− Khouribga, Morocco
sad
− San Fernando de Apure, Venezuela
strong
− Sao José do Rio Prêto, Brazil
happy
− Juazeiro do Norte, Brazil
happy
− Shaown, China
happy
− Chongli, China
weak
− Bihar Sharif, India
happy
− Ferraz de Vasconcelos, Brazil
happy
− Al-Rakka, Syrian Arab Republic
happy
− Korla, China
strong
− Kiselevsk, Russia
happy
− Guangshui, China
happy
− Taldikorgan, Kazakstan
happy
− Changweon, Korea, South
happy
− Taian, China
confused
− Alagoinhas, Brazil
strong
− Yuncheng, China
weak
− Holon, Israel
confused
− Artux, China
happy
− Evpatoriya, Ukraine
happy
− Sialkote, Pakistan
happy
− Debrezit, Ethiopia
happy
− Xuchang, China
happy
− Calithèa, Greece
happy
− Kashihara, Japan
happy
− Huaiyin, China
happy
− Syktivkar, Russia
happy
−
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