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% − BISHKEK, Kyrgyzstan
weak
+8.9% − Hachinohe, Japan
strong
+21.2% − Ulsan, Korea, South
confused
+24.5% − Baranovichi, Belarus
strong
+18.5% − Beaumont, United States
confused
+12.1% − Regensburg, Germany
strong
+16.0% − East Hampshire, United Kingdom
confused
+19.0% − TIRANA, Albania
sad
+18.7% − Daxian, China
sad
+23.8% − Tacoma, United States
confused
+20.3% − The Wrekin, United Kingdom
happy
+23.6% − Engels, Russia
strong
+21.7% − Warren, United States
strong
+22.1% − Cardiff, United Kingdom
strong
+16.1% − Paraná, Argentina
strong
+12.3% − Oberhausen, Germany
weak
+19.1% − Mönchengladbach, Germany
happy
+14.7% − Erbil, Iraq
strong
+20.1% − Várzea Grande, Brazil
strong
+21.5% − Sedgemoor, United Kingdom
strong
+19.3% − Pinar del Río, Cuba
confused
+18.6% − Botou, China
strong
+24.2% − Remscheid, Germany
strong
+19.6% − Silay, Philippines
happy
+19.9% − Yao, Japan
strong
+22.0% − Botou, China
strong
+24.2% − Yokkaichi, Japan
strong
+19.6% − Ambala, India
happy
+21.8% − Boksburg, South Africa
confused
+18.1% − Jequié, Brazil
strong
+5.6% − Shaoyang, China
weak
+21.8% − Guilin, China
strong
+3.0% − Anjo, Japan
strong
+2.2% − Caruaru, Brazil
strong
+18.6% − Engels, Russia
strong
+21.7% − Monywa, Myanmar
confused
+22.1% − Vadakara, India
sad
+6.6% − Abeokuta, Nigeria
happy
+19.5% − Gurgaon, India
strong
+14.2% − The Wrekin, United Kingdom
happy
+23.6% − Thai Nguyen, Vietnam
sad
+18.1% − Fresno, United States
strong
+21.7% − Grodno, Belarus
sad
+19.8% − Jhang, Pakistan
strong
+23.9% − Rangpur, Bangladesh
happy
+24.3% − Loudi, China
weak
+17.8% − Tangshan, China
weak
+22.3% − Surakarta, Indonesia
strong
+20.9% − Amiens, France
confused
+22.5% − Chillán, Chile
strong
+21.7% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Springfield, United States
confused
+5.1% − Guarapuava, Brazil
strong
+18.9% − Erlangen, Germany
confused
+22.9% − Smolensk, Russia
happy
+17.6% − Waitakere, New Zealand
confused
+23.5% − Lapu-Lapu, Philippines
strong
+24.6% − Remscheid, Germany
strong
+19.6% − Vallejo, United States
confused
+21.9% − Phoenix, United States
strong
+11.7% − Chungju, Korea, South
sad
+4.6% − Waverley, United Kingdom
weak
+24.4% − Tegal, Indonesia
confused
+4.6% − ROAD TOWN, British Virgin Islands
confused
+22.0% − Zonguldak, Turkey
strong
+22.9% − Nizhnekamsk, Russia
confused
+21.0% − North York, Canada
strong
+20.2% − Giza, Egypt
confused
+23.8% − Ubon Ratchathani, Thailand
confused
+23.5% − Diyarbakir, Turkey
strong
+22.7% − Zonguldak, Turkey
strong
+22.9% − Tanga, Tanzania
confused
+20.3% − Chungju, Korea, South
sad
+4.6% − Anyang, China
confused
+1.0% − Abeokuta, Nigeria
happy
+19.5% − Xichang, China
confused
+20.3% − PANAMA, Panama
strong
+3.1% − Mulhouse, France
happy
+21.4% − Kure, Japan
happy
+17.9% − Sikar, India
confused
+24.6% − ST. GEORGES, Grenada
strong
+19.2% − Tyumen, Russia
strong
+7.1% − San Sebastián, Spain
confused
+24.0% − BASSE-TERRE, Guadeloupe
strong
+24.8% − Huntington Beach, United States
strong
+23.2% − Laval, Canada
strong
+10.7% − BRIDGETOWN, Barbados
confused
+23.8% − Kharagpur, India
strong
+17.6% − Susano, Brazil
strong
+1.7% − La Spezia, Italy
confused
+22.0% − Kofu, Japan
confused
+20.9% − Ndola, Zambia
happy
+17.9% − Unnao, India
weak
+18.8% − Malabon, Philippines
happy
+23.0% − Vallejo, United States
confused
+21.9% − Oberhausen, Germany
weak
+19.1% − Ichikawa, Japan
strong
+4.5% − Yavatmal, India
guilty
+24.6% − Lisburn, United Kingdom
strong
+19.9% − Dunfermline, United Kingdom
confused
+6.9% −
▼
Kotte, Sri Lanka
confused
-1.5% − Braila, Romania
strong
-17.5% − Chicago, United States
strong
-18.5% − Yingcheng, China
happy
-22.9% − Iseyin, Nigeria
happy
-22.8% − Hampton, United States
strong
-12.1% − Cochabamba, Bolivia
strong
-23.2% − Adana, Turkey
confused
-23.4% − Gujrat, Pakistan
strong
-22.0% − Gent, Belgium
strong
-4.2% − Kochi, India
strong
-24.8% − Richmond, United States
confused
-21.8% − Peshawar, Pakistan
strong
-24.4% − Sefton, United Kingdom
strong
-5.2% − Quezon City, Philippines
strong
-4.0% − San Pablo, Philippines
strong
-18.3% − NOUMEA, New Caledonia
strong
-18.8% − Aguascalientes, Mexico
strong
-17.6% − Manchester, United Kingdom
strong
-9.2% − Zaria, Nigeria
confused
-18.6% − Muntinlupa, Philippines
strong
-19.8% − Birmingham, United States
confused
-22.6% − Irving, United States
strong
-20.4% − Nhatrang, Vietnam
happy
-22.9% − Petrópolis, Brazil
strong
-18.6% − Chimbote, Peru
strong
-22.8% − Teignbridge, United Kingdom
confused
-20.2% − Tanjung Balai, Indonesia
weak
-4.9% − Rouen, France
strong
-6.3% − LISBON, Portugal
strong
-7.5% − Jiamusi, China
strong
-18.6% − Fukuyama, Japan
strong
-22.7% − Floridablanca, Colombia
strong
-22.9% − Durango, Mexico
strong
-25.0% − Brescia, Italy
strong
-18.6% − Queimados, Brazil
strong
-20.4% − Amagasaki, Japan
happy
-24.2% − Mojokerto, Indonesia
strong
-13.8% − Serra, Brazil
strong
-5.4% − Kawachinagano, Japan
happy
-22.9% − Luohe, China
happy
-22.9% − Leipzig, Germany
strong
-21.8% − Kisumu, Kenya
confused
-19.7% − Dourados, Brazil
strong
-1.2% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% − Richmond, United States
confused
-21.8% − Jersey City, United States
strong
-23.2% − San Jose, United States
confused
-24.0% − Magdeburg, Germany
strong
-23.7% − Sapucaia, Brazil
strong
-18.8% − Bridgeport, United States
strong
-18.9% − Crewe & Nantwich, United Kingdom
strong
-17.6% − Sukabumi, Indonesia
happy
-9.2% − Geelong, Australia
confused
-2.1% − Darlington, United Kingdom
strong
-24.3% − Toluca, Mexico
confused
-22.6% − Tampa, United States
confused
-19.1% − Halifax, Canada
strong
-19.1% − Sergiev Posad, Russia
happy
-17.8% − Alexandria, United States
strong
-11.9% − Chiba, Japan
strong
-24.8% − Palakkad, India
strong
-17.6% − Batangas, Philippines
strong
-22.8% − Ingolstadt, Germany
strong
-14.9% − Kitchener, Canada
strong
-15.2% − South Cambridgeshire, United Kingdom
strong
-17.7% − Bareilly, India
confused
-23.5% − MONROVIA, Liberia
happy
-23.4% − Curitiba, Brazil
strong
-24.8% − Valencia, Venezuela
confused
-8.0% − Anand, India
strong
-3.1% − Jinan, China
strong
-8.9% −
=
Ferraz de Vasconcelos, Brazil
happy
− Sirjan, Iran
happy
− Debrezit, Ethiopia
happy
− Meizhou, China
strong
− Jastrzebie - Zdrój, Poland
confused
− Mudangiang, China
happy
− Syktivkar, Russia
happy
− Dayuan, China
happy
− Korla, China
strong
− Yuncheng, China
weak
− Taiyan, China
happy
− Shaown, China
happy
− Xuchang, China
happy
− Sidi-bel-Abbès, Algeria
happy
− Bihar Sharif, India
happy
− Sao José do Rio Prêto, Brazil
happy
− Sao Joao de Meriti, Brazil
happy
− Alagoinhas, Brazil
strong
− Kadhimain, Iraq
happy
− Al-Rakka, Syrian Arab Republic
happy
− Guangshui, China
happy
− Kiselevsk, Russia
happy
− Huaiyin, China
happy
− Evpatoriya, Ukraine
happy
− San Fernando de Apure, Venezuela
strong
− Kanhangad, India
happy
− Khouribga, Morocco
sad
− Kurume, Japan
guilty
− Artux, China
happy
− Juazeiro do Norte, Brazil
happy
− Shuangyashan, China
happy
− Calithèa, Greece
happy
− Guikong, China
happy
− Pinxiang, China
happy
− Shanwei, China
confused
− Novocherkassk, Russia
happy
− Soyapango, El Salvador
happy
− Angren, Uzbekistan
confused
− Jinin, China
happy
− Nasariya, Iraq
happy
− Pórto Velho, Brazil
happy
− Basingstoke & Deane, United Kingdom
happy
− Durg, India
weak
− Taian, China
confused
− Holon, Israel
confused
− Salamanca, Mexico
strong
− Lipetsk, Russia
strong
− Moji-Guaçu, Brazil
happy
− Kashihara, Japan
happy
− Taldikorgan, Kazakstan
happy
− Deir El-Zor, Syrian Arab Republic
happy
− Niiza, Japan
happy
− Rubtsovsk, Russia
happy
− Nandyal, India
happy
− Chinhae, Korea, South
happy
− Sialkote, Pakistan
happy
− Changweon, Korea, South
happy
− Dlepmealow, South Africa
happy
− Colimas, Mexico
happy
− Chongli, China
weak
− Reggio di Calabria, Italy
happy
− Xiaocan, China
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