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
▲
Raniganj, India
confused
+23.2% − Pohang, Korea, South
confused
+21.8% − Tacoma, United States
confused
+20.3% − Burgos, Spain
strong
+19.8% − Gurgaon, India
strong
+14.2% − Tacoma, United States
confused
+20.3% − Huntington Beach, United States
strong
+23.2% − Fresno, United States
strong
+21.7% − Eastleigh, United Kingdom
happy
+19.0% − Cangzhou, China
confused
+17.7% − Vallejo, United States
confused
+21.9% − Remscheid, Germany
strong
+19.6% − Tanga, Tanzania
confused
+20.3% − Arad, Romania
strong
+11.8% − Malabon, Philippines
happy
+23.0% − Vadakara, India
sad
+6.6% − Botou, China
strong
+24.2% − Tangshan, China
weak
+22.3% − Mbeya, Tanzania
confused
+22.8% − Smolensk, Russia
happy
+17.6% − North York, Canada
strong
+20.2% − Phoenix, United States
strong
+11.7% − Gaya, India
strong
+23.6% − LA HABANA, Cuba
strong
+18.2% − Lapu-Lapu, Philippines
strong
+24.6% − Ulsan, Korea, South
confused
+24.5% − Xichang, China
confused
+20.3% − Paraná, Argentina
strong
+12.3% − Tarragona, Spain
strong
+21.8% − Oberhausen, Germany
weak
+19.1% − Chon Buri, Thailand
strong
+23.4% − Kure, Japan
happy
+17.9% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Boksburg, South Africa
confused
+18.1% − Fukuoka, Japan
weak
+13.4% − Remscheid, Germany
strong
+19.6% − Monywa, Myanmar
confused
+22.1% − Mulhouse, France
happy
+21.4% − Zonguldak, Turkey
strong
+22.9% − The Wrekin, United Kingdom
happy
+23.6% − Lisburn, United Kingdom
strong
+19.9% − BISHKEK, Kyrgyzstan
weak
+8.9% − ST. GEORGES, Grenada
strong
+19.2% − Guarapuava, Brazil
strong
+18.9% − Abeokuta, Nigeria
happy
+19.5% − Jhang, Pakistan
strong
+23.9% − Tameside, United Kingdom
confused
+19.1% − Kofu, Japan
confused
+20.9% − TIRANA, Albania
sad
+18.7% − Guilin, China
strong
+3.0% − Piracicaba, Brazil
strong
+20.7% − Silay, Philippines
happy
+19.9% − Waitakere, New Zealand
confused
+23.5% − Botou, China
strong
+24.2% − Chungju, Korea, South
sad
+4.6% − Loudi, China
weak
+17.8% − La Spezia, Italy
confused
+22.0% − Jequié, Brazil
strong
+5.6% − Yavatmal, India
guilty
+24.6% − Warren, United States
strong
+22.1% − Lubumbashi, Congo, Democratic Republic of the
sad
+19.0% − Tegal, Indonesia
confused
+4.6% − Cardiff, United Kingdom
strong
+16.1% − Ichikawa, Japan
strong
+4.5% − Maiduguri, Nigeria
confused
+21.6% − ROAD TOWN, British Virgin Islands
confused
+22.0% − Zonguldak, Turkey
strong
+22.9% − Engels, Russia
strong
+21.7% − Grodno, Belarus
sad
+19.8% − Pinar del Río, Cuba
confused
+18.6% − Unnao, India
weak
+18.8% − Abeokuta, Nigeria
happy
+19.5% − Amiens, France
confused
+22.5% − Yokkaichi, Japan
strong
+19.6% − Springfield, United States
confused
+5.1% − Oberhausen, Germany
weak
+19.1% − Pinar del Río, Cuba
confused
+18.6% − Pocos de Caldas, Brazil
strong
+24.0% − Waverley, United Kingdom
weak
+24.4% − Ubon Ratchathani, Thailand
confused
+23.5% − Engels, Russia
strong
+21.7% − Diyarbakir, Turkey
strong
+22.7% − Gurgaon, India
strong
+14.2% − Beaumont, United States
confused
+12.1% − Hamilton, Canada
confused
+21.0% − Nizhnekamsk, Russia
confused
+21.0% − East Hampshire, United Kingdom
confused
+19.0% − Ndola, Zambia
happy
+17.9% − Medellín, Colombia
strong
+21.8% − BRIDGETOWN, Barbados
confused
+23.8% − Mönchengladbach, Germany
happy
+14.7% − Pegu, Myanmar
confused
+24.1% − Sikar, India
confused
+24.6% − Ambala, India
happy
+21.8% − Sedgemoor, United Kingdom
strong
+19.3% − Daxian, China
sad
+23.8% − Shaoyang, China
weak
+21.8% − Chungju, Korea, South
sad
+4.6% − Giza, Egypt
confused
+23.8% − Kharagpur, India
strong
+17.6% − Anyang, China
confused
+1.0% −
▼
Cochabamba, Bolivia
strong
-23.2% − Jiamusi, China
strong
-18.6% − Quezon City, Philippines
strong
-4.0% − Richmond, United States
confused
-21.8% − Leipzig, Germany
strong
-21.8% − Kotte, Sri Lanka
confused
-1.5% − Bareilly, India
confused
-23.5% − Iseyin, Nigeria
happy
-22.8% − Yingcheng, China
happy
-22.9% − Anand, India
strong
-3.1% − Gent, Belgium
strong
-4.2% − Manchester, United Kingdom
strong
-9.2% − Kitchener, Canada
strong
-15.2% − Sergiev Posad, Russia
happy
-17.8% − Alexandria, United States
strong
-11.9% − Toluca, Mexico
confused
-22.6% − Halifax, Canada
strong
-19.1% − Jinan, China
strong
-8.9% − Amagasaki, Japan
happy
-24.2% − Crewe & Nantwich, United Kingdom
strong
-17.6% − Chimbote, Peru
strong
-22.8% − Magdeburg, Germany
strong
-23.7% − Serra, Brazil
strong
-5.4% − Luohe, China
happy
-22.9% − Jersey City, United States
strong
-23.2% − LISBON, Portugal
strong
-7.5% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% − MONROVIA, Liberia
happy
-23.4% − Teignbridge, United Kingdom
confused
-20.2% − Gujrat, Pakistan
strong
-22.0% − NOUMEA, New Caledonia
strong
-18.8% − Dourados, Brazil
strong
-1.2% − Geelong, Australia
confused
-2.1% − Sapucaia, Brazil
strong
-18.8% − Mojokerto, Indonesia
strong
-13.8% − Queimados, Brazil
strong
-20.4% − Valencia, Venezuela
confused
-8.0% − Muntinlupa, Philippines
strong
-19.8% − Kawachinagano, Japan
happy
-22.9% − Nhatrang, Vietnam
happy
-22.9% − Tanjung Balai, Indonesia
weak
-4.9% − Sefton, United Kingdom
strong
-5.2% − San Jose, United States
confused
-24.0% − San Pablo, Philippines
strong
-18.3% − Petrópolis, Brazil
strong
-18.6% − Peshawar, Pakistan
strong
-24.4% − Floridablanca, Colombia
strong
-22.9% − Chicago, United States
strong
-18.5% − Kisumu, Kenya
confused
-19.7% − Hampton, United States
strong
-12.1% − Adana, Turkey
confused
-23.4% − Palakkad, India
strong
-17.6% − Richmond, United States
confused
-21.8% − Sukabumi, Indonesia
happy
-9.2% − Curitiba, Brazil
strong
-24.8% − Ingolstadt, Germany
strong
-14.9% − Fukuyama, Japan
strong
-22.7% − Birmingham, United States
confused
-22.6% − Chiba, Japan
strong
-24.8% − Batangas, Philippines
strong
-22.8% − South Cambridgeshire, United Kingdom
strong
-17.7% − Durango, Mexico
strong
-25.0% − Darlington, United Kingdom
strong
-24.3% − Kochi, India
strong
-24.8% − Aguascalientes, Mexico
strong
-17.6% − Tampa, United States
confused
-19.1% − Irving, United States
strong
-20.4% − Brescia, Italy
strong
-18.6% − Rouen, France
strong
-6.3% − Bridgeport, United States
strong
-18.9% − Braila, Romania
strong
-17.5% − Zaria, Nigeria
confused
-18.6% −
=
Angren, Uzbekistan
confused
− Jinin, China
happy
− Huaiyin, China
happy
− Nasariya, Iraq
happy
− Syktivkar, Russia
happy
− Reggio di Calabria, Italy
happy
− Rubtsovsk, Russia
happy
− Deir El-Zor, Syrian Arab Republic
happy
− Soyapango, El Salvador
happy
− Kashihara, Japan
happy
− Changweon, Korea, South
happy
− Taian, China
confused
− Korla, China
strong
− Sidi-bel-Abbès, Algeria
happy
− Dlepmealow, South Africa
happy
− Al-Rakka, Syrian Arab Republic
happy
− Artux, China
happy
− Mudangiang, China
happy
− Nandyal, India
happy
− Pinxiang, China
happy
− Taldikorgan, Kazakstan
happy
− Lipetsk, Russia
strong
− Colimas, Mexico
happy
− San Fernando de Apure, Venezuela
strong
− Kadhimain, Iraq
happy
− Bihar Sharif, India
happy
− Meizhou, China
strong
− Shanwei, China
confused
− Niiza, Japan
happy
− Pórto Velho, Brazil
happy
− Kanhangad, India
happy
− Basingstoke & Deane, United Kingdom
happy
− Salamanca, Mexico
strong
− Kiselevsk, Russia
happy
− Yuncheng, China
weak
− Ferraz de Vasconcelos, Brazil
happy
− Juazeiro do Norte, Brazil
happy
− Debrezit, Ethiopia
happy
− Calithèa, Greece
happy
− Chinhae, Korea, South
happy
− Holon, Israel
confused
− Alagoinhas, Brazil
strong
− Khouribga, Morocco
sad
− Chongli, China
weak
− Novocherkassk, Russia
happy
− Xuchang, China
happy
− Sirjan, Iran
happy
− Jastrzebie - Zdrój, Poland
confused
− Evpatoriya, Ukraine
happy
− Taiyan, China
happy
− Sialkote, Pakistan
happy
− Guangshui, China
happy
− Kurume, Japan
guilty
− Durg, India
weak
− Moji-Guaçu, Brazil
happy
− Shuangyashan, China
happy
− Guikong, China
happy
− Shaown, China
happy
− Dayuan, China
happy
− Sao José do Rio Prêto, Brazil
happy
− Sao Joao de Meriti, Brazil
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