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
▲
Burgos, Spain
strong
+19.8% − Tarragona, Spain
strong
+21.8% − Ichikawa, Japan
strong
+4.5% − Engels, Russia
strong
+21.7% − Ambala, India
happy
+21.8% − Pocos de Caldas, Brazil
strong
+24.0% − Botou, China
strong
+24.2% − Malabon, Philippines
happy
+23.0% − Arad, Romania
strong
+11.8% − Jhang, Pakistan
strong
+23.9% − Shaoyang, China
weak
+21.8% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Ndola, Zambia
happy
+17.9% − Piracicaba, Brazil
strong
+20.7% − BRIDGETOWN, Barbados
confused
+23.8% − Chungju, Korea, South
sad
+4.6% − Waverley, United Kingdom
weak
+24.4% − Ubon Ratchathani, Thailand
confused
+23.5% − Guilin, China
strong
+3.0% − Ulsan, Korea, South
confused
+24.5% − Nizhnekamsk, Russia
confused
+21.0% − Ulan-Ude, Russia
confused
+2.6% − Cardiff, United Kingdom
strong
+16.1% − Regensburg, Germany
strong
+16.0% − The Wrekin, United Kingdom
happy
+23.6% − Thai Nguyen, Vietnam
sad
+18.1% − Pinar del Río, Cuba
confused
+18.6% − Chon Buri, Thailand
strong
+23.4% − Rangpur, Bangladesh
happy
+24.3% − Kofu, Japan
confused
+20.9% − Xichang, China
confused
+20.3% − Pegu, Myanmar
confused
+24.1% − The Wrekin, United Kingdom
happy
+23.6% − San Sebastián, Spain
confused
+24.0% − Caruaru, Brazil
strong
+18.6% − PANAMA, Panama
strong
+3.1% − Yavatmal, India
guilty
+24.6% − LA HABANA, Cuba
strong
+18.2% − Kharagpur, India
strong
+17.6% − Mbeya, Tanzania
confused
+22.8% − San Cristóbal, Venezuela
weak
+18.5% − BASSE-TERRE, Guadeloupe
strong
+24.8% − Abeokuta, Nigeria
happy
+19.5% − Hamilton, Canada
confused
+21.0% − Loudi, China
weak
+17.8% − Oberhausen, Germany
weak
+19.1% − Phoenix, United States
strong
+11.7% − Boksburg, South Africa
confused
+18.1% − Lapu-Lapu, Philippines
strong
+24.6% − ST. GEORGES, Grenada
strong
+19.2% − Anjo, Japan
strong
+2.2% − Smolensk, Russia
happy
+17.6% − Lubumbashi, Congo, Democratic Republic of the
sad
+19.0% − Tacoma, United States
confused
+20.3% − Monywa, Myanmar
confused
+22.1% − Grodno, Belarus
sad
+19.8% − Amiens, France
confused
+22.5% − Botou, China
strong
+24.2% − Fresno, United States
strong
+21.7% − Gurgaon, India
strong
+14.2% − Giza, Egypt
confused
+23.8% − Paraná, Argentina
strong
+12.3% − Medellín, Colombia
strong
+21.8% − Várzea Grande, Brazil
strong
+21.5% − TIRANA, Albania
sad
+18.7% − Fukuoka, Japan
weak
+13.4% − Chungju, Korea, South
sad
+4.6% − Yao, Japan
strong
+22.0% − Remscheid, Germany
strong
+19.6% − Engels, Russia
strong
+21.7% − Gurgaon, India
strong
+14.2% − Raniganj, India
confused
+23.2% − Abeokuta, Nigeria
happy
+19.5% − Tegal, Indonesia
confused
+4.6% − Diyarbakir, Turkey
strong
+22.7% − Baranovichi, Belarus
strong
+18.5% − Jhang, Pakistan
strong
+23.9% − Ubon Ratchathani, Thailand
confused
+23.5% − Warren, United States
strong
+22.1% − Unnao, India
weak
+18.8% − Maiduguri, Nigeria
confused
+21.6% − Chillán, Chile
strong
+21.7% − Tyumen, Russia
strong
+7.1% − Vadakara, India
sad
+6.6% − Zonguldak, Turkey
strong
+22.9% − Tanga, Tanzania
confused
+20.3% − Jamalpur, Bangladesh
confused
+17.7% − Mulhouse, France
happy
+21.4% − Silay, Philippines
happy
+19.9% − Cangzhou, China
confused
+17.7% − Xichang, China
confused
+20.3% − Hachinohe, Japan
strong
+21.2% − Vallejo, United States
confused
+21.9% − Zonguldak, Turkey
strong
+22.9% − Sikar, India
confused
+24.6% − La Spezia, Italy
confused
+22.0% − Huntington Beach, United States
strong
+23.2% − Gaya, India
strong
+23.6% − Oberhausen, Germany
weak
+19.1% − Kure, Japan
happy
+17.9% − Tangshan, China
weak
+22.3% −
▼
South Cambridgeshire, United Kingdom
strong
-17.7% − Jinan, China
strong
-8.9% − Gent, Belgium
strong
-4.2% − Yingcheng, China
happy
-22.9% − Gujrat, Pakistan
strong
-22.0% − Zaria, Nigeria
confused
-18.6% − MONROVIA, Liberia
happy
-23.4% − Geelong, Australia
confused
-2.1% − Manchester, United Kingdom
strong
-9.2% − Aguascalientes, Mexico
strong
-17.6% − NOUMEA, New Caledonia
strong
-18.8% − Sergiev Posad, Russia
happy
-17.8% − Palakkad, India
strong
-17.6% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% − Crewe & Nantwich, United Kingdom
strong
-17.6% − Teignbridge, United Kingdom
confused
-20.2% − Tampa, United States
confused
-19.1% − Braila, Romania
strong
-17.5% − Brescia, Italy
strong
-18.6% − Muntinlupa, Philippines
strong
-19.8% − Irving, United States
strong
-20.4% − San Jose, United States
confused
-24.0% − Ingolstadt, Germany
strong
-14.9% − Bareilly, India
confused
-23.5% − Birmingham, United States
confused
-22.6% − Kotte, Sri Lanka
confused
-1.5% − Batangas, Philippines
strong
-22.8% − Leipzig, Germany
strong
-21.8% − Tanjung Balai, Indonesia
weak
-4.9% − Cochabamba, Bolivia
strong
-23.2% − Amagasaki, Japan
happy
-24.2% − Durango, Mexico
strong
-25.0% − Bridgeport, United States
strong
-18.9% − Alexandria, United States
strong
-11.9% − Fukuyama, Japan
strong
-22.7% − Richmond, United States
confused
-21.8% − Rouen, France
strong
-6.3% − Darlington, United Kingdom
strong
-24.3% − Halifax, Canada
strong
-19.1% − Chiba, Japan
strong
-24.8% − Sukabumi, Indonesia
happy
-9.2% − Valencia, Venezuela
confused
-8.0% − Kawachinagano, Japan
happy
-22.9% − Jiamusi, China
strong
-18.6% − San Pablo, Philippines
strong
-18.3% − Jersey City, United States
strong
-23.2% − Kisumu, Kenya
confused
-19.7% − Serra, Brazil
strong
-5.4% − Toluca, Mexico
confused
-22.6% − Quezon City, Philippines
strong
-4.0% − Luohe, China
happy
-22.9% − Kochi, India
strong
-24.8% − Floridablanca, Colombia
strong
-22.9% − Dourados, Brazil
strong
-1.2% − Adana, Turkey
confused
-23.4% − Kitchener, Canada
strong
-15.2% − Anand, India
strong
-3.1% − Queimados, Brazil
strong
-20.4% − Magdeburg, Germany
strong
-23.7% − Petrópolis, Brazil
strong
-18.6% − Peshawar, Pakistan
strong
-24.4% − Chicago, United States
strong
-18.5% − Chimbote, Peru
strong
-22.8% − Nhatrang, Vietnam
happy
-22.9% − Curitiba, Brazil
strong
-24.8% − Sapucaia, Brazil
strong
-18.8% − Hampton, United States
strong
-12.1% − Iseyin, Nigeria
happy
-22.8% − Mojokerto, Indonesia
strong
-13.8% − LISBON, Portugal
strong
-7.5% − Richmond, United States
confused
-21.8% − Sefton, United Kingdom
strong
-5.2% −
=
Kiselevsk, Russia
happy
− Chinhae, Korea, South
happy
− Moji-Guaçu, Brazil
happy
− Shuangyashan, China
happy
− Evpatoriya, Ukraine
happy
− Holon, Israel
confused
− Alagoinhas, Brazil
strong
− Changweon, Korea, South
happy
− Shaown, China
happy
− Korla, China
strong
− Durg, India
weak
− Dayuan, China
happy
− Sao Joao de Meriti, Brazil
happy
− Juazeiro do Norte, Brazil
happy
− Nandyal, India
happy
− Niiza, Japan
happy
− Kanhangad, India
happy
− Calithèa, Greece
happy
− Sao José do Rio Prêto, Brazil
happy
− Artux, China
happy
− Debrezit, Ethiopia
happy
− Taldikorgan, Kazakstan
happy
− Sidi-bel-Abbès, Algeria
happy
− Kashihara, Japan
happy
− Taian, China
confused
− Meizhou, China
strong
− Mudangiang, China
happy
− Dlepmealow, South Africa
happy
− Jastrzebie - Zdrój, Poland
confused
− Bihar Sharif, India
happy
− San Fernando de Apure, Venezuela
strong
− Nasariya, Iraq
happy
− Kadhimain, Iraq
happy
− Novocherkassk, Russia
happy
− Angren, Uzbekistan
confused
− Rubtsovsk, Russia
happy
− Chongli, China
weak
− Syktivkar, Russia
happy
− Xiaocan, China
happy
− Salamanca, Mexico
strong
− Taiyan, China
happy
− Guangshui, China
happy
− Sialkote, Pakistan
happy
− Kurume, Japan
guilty
− Yuncheng, China
weak
− Reggio di Calabria, Italy
happy
− Khouribga, Morocco
sad
− Huaiyin, China
happy
− Deir El-Zor, Syrian Arab Republic
happy
− Pinxiang, China
happy
− Shanwei, China
confused
− Xuchang, China
happy
− Sirjan, Iran
happy
− Lipetsk, Russia
strong
− Colimas, Mexico
happy
− Pórto Velho, Brazil
happy
− Al-Rakka, Syrian Arab Republic
happy
− Ferraz de Vasconcelos, Brazil
happy
− Jinin, China
happy
− Soyapango, El Salvador
happy
− Guikong, China
happy
− Basingstoke & Deane, United Kingdom
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