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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% − Tegal, Indonesia
confused
+4.6% − Erbil, Iraq
strong
+20.1% − Engels, Russia
strong
+21.7% − Xichang, China
confused
+20.3% − Gurgaon, India
strong
+14.2% − Arad, Romania
strong
+11.8% − Yavatmal, India
guilty
+24.6% − Ubon Ratchathani, Thailand
confused
+23.5% − Vallejo, United States
confused
+21.9% − Botou, China
strong
+24.2% − Pohang, Korea, South
confused
+21.8% − San Sebastián, Spain
confused
+24.0% − Diyarbakir, Turkey
strong
+22.7% − Guarapuava, Brazil
strong
+18.9% − Jequié, Brazil
strong
+5.6% − Pegu, Myanmar
confused
+24.1% − Surakarta, Indonesia
strong
+20.9% − Raniganj, India
confused
+23.2% − Ubon Ratchathani, Thailand
confused
+23.5% − Kofu, Japan
confused
+20.9% − Abeokuta, Nigeria
happy
+19.5% − Baranovichi, Belarus
strong
+18.5% − Sikar, India
confused
+24.6% − Warren, United States
strong
+22.1% − Jhang, Pakistan
strong
+23.9% − Beaumont, United States
confused
+12.1% − Mbeya, Tanzania
confused
+22.8% − Ulan-Ude, Russia
confused
+2.6% − TIRANA, Albania
sad
+18.7% − Boksburg, South Africa
confused
+18.1% − Cangzhou, China
confused
+17.7% − Lapu-Lapu, Philippines
strong
+24.6% − Erlangen, Germany
confused
+22.9% − Engels, Russia
strong
+21.7% − Chungju, Korea, South
sad
+4.6% − Pocos de Caldas, Brazil
strong
+24.0% − Lubumbashi, Congo, Democratic Republic of the
sad
+19.0% − Unnao, India
weak
+18.8% − Vallejo, United States
confused
+21.9% − Mulhouse, France
happy
+21.4% − Oberhausen, Germany
weak
+19.1% − Regensburg, Germany
strong
+16.0% − Burgos, Spain
strong
+19.8% − Tyumen, Russia
strong
+7.1% − Tanga, Tanzania
confused
+20.3% − BISHKEK, Kyrgyzstan
weak
+8.9% − Loudi, China
weak
+17.8% − BASSE-TERRE, Guadeloupe
strong
+24.8% − Silay, Philippines
happy
+19.9% − BRIDGETOWN, Barbados
confused
+23.8% − Gurgaon, India
strong
+14.2% − Yokkaichi, Japan
strong
+19.6% − PANAMA, Panama
strong
+3.1% − Rangpur, Bangladesh
happy
+24.3% − Zonguldak, Turkey
strong
+22.9% − Amiens, France
confused
+22.5% − Abeokuta, Nigeria
happy
+19.5% − Ambala, India
happy
+21.8% − Pinar del Río, Cuba
confused
+18.6% − Hachinohe, Japan
strong
+21.2% − Maiduguri, Nigeria
confused
+21.6% − Daxian, China
sad
+23.8% − Tacoma, United States
confused
+20.3% − Várzea Grande, Brazil
strong
+21.5% − Malabon, Philippines
happy
+23.0% − Xichang, China
confused
+20.3% − Gaya, India
strong
+23.6% − Smolensk, Russia
happy
+17.6% − The Wrekin, United Kingdom
happy
+23.6% − East Hampshire, United Kingdom
confused
+19.0% − Oberhausen, Germany
weak
+19.1% − Yao, Japan
strong
+22.0% − Tacoma, United States
confused
+20.3% − Hamilton, Canada
confused
+21.0% − Anyang, China
confused
+1.0% − Eastleigh, United Kingdom
happy
+19.0% − Anjo, Japan
strong
+2.2% − Remscheid, Germany
strong
+19.6% − Monywa, Myanmar
confused
+22.1% − Huntington Beach, United States
strong
+23.2% − Waverley, United Kingdom
weak
+24.4% − The Wrekin, United Kingdom
happy
+23.6% − Ulsan, Korea, South
confused
+24.5% − Vadakara, India
sad
+6.6% − Zonguldak, Turkey
strong
+22.9% − Chillán, Chile
strong
+21.7% − Waitakere, New Zealand
confused
+23.5% − Guilin, China
strong
+3.0% − Lisburn, United Kingdom
strong
+19.9% − Tarragona, Spain
strong
+21.8% − Ichikawa, Japan
strong
+4.5% − Phoenix, United States
strong
+11.7% − Susano, Brazil
strong
+1.7% − Chon Buri, Thailand
strong
+23.4% − LA HABANA, Cuba
strong
+18.2% − Fukuoka, Japan
weak
+13.4% − Jhang, Pakistan
strong
+23.9% − Paraná, Argentina
strong
+12.3% − Bobo Dioulasso, Burkina Faso
angry
+20.4% − Grodno, Belarus
sad
+19.8% −
▼
Batangas, Philippines
strong
-22.8% − San Jose, United States
confused
-24.0% − Valencia, Venezuela
confused
-8.0% − Kisumu, Kenya
confused
-19.7% − LISBON, Portugal
strong
-7.5% − Fukuyama, Japan
strong
-22.7% − Irving, United States
strong
-20.4% − Jinan, China
strong
-8.9% − Darlington, United Kingdom
strong
-24.3% − Jersey City, United States
strong
-23.2% − Alexandria, United States
strong
-11.9% − Gujrat, Pakistan
strong
-22.0% − South Cambridgeshire, United Kingdom
strong
-17.7% − Peshawar, Pakistan
strong
-24.4% − Santiago de los Caballeros, Dominican Republic
confused
-18.9% − Brescia, Italy
strong
-18.6% − Birmingham, United States
confused
-22.6% − Iseyin, Nigeria
happy
-22.8% − Queimados, Brazil
strong
-20.4% − Anand, India
strong
-3.1% − Sukabumi, Indonesia
happy
-9.2% − Kawachinagano, Japan
happy
-22.9% − Braila, Romania
strong
-17.5% − Tanjung Balai, Indonesia
weak
-4.9% − Kitchener, Canada
strong
-15.2% − Zaria, Nigeria
confused
-18.6% − Serra, Brazil
strong
-5.4% − Yingcheng, China
happy
-22.9% − Bareilly, India
confused
-23.5% − Halifax, Canada
strong
-19.1% − Richmond, United States
confused
-21.8% − Chicago, United States
strong
-18.5% − Manchester, United Kingdom
strong
-9.2% − MONROVIA, Liberia
happy
-23.4% − Durango, Mexico
strong
-25.0% − Nhatrang, Vietnam
happy
-22.9% − NOUMEA, New Caledonia
strong
-18.8% − Teignbridge, United Kingdom
confused
-20.2% − Petrópolis, Brazil
strong
-18.6% − Quezon City, Philippines
strong
-4.0% − Palakkad, India
strong
-17.6% − Aguascalientes, Mexico
strong
-17.6% − Sefton, United Kingdom
strong
-5.2% − Chiba, Japan
strong
-24.8% − Ingolstadt, Germany
strong
-14.9% − Cochabamba, Bolivia
strong
-23.2% − Amagasaki, Japan
happy
-24.2% − San Pablo, Philippines
strong
-18.3% − Hampton, United States
strong
-12.1% − Toluca, Mexico
confused
-22.6% − Tampa, United States
confused
-19.1% − Floridablanca, Colombia
strong
-22.9% − Dourados, Brazil
strong
-1.2% − Crewe & Nantwich, United Kingdom
strong
-17.6% − Geelong, Australia
confused
-2.1% − Gent, Belgium
strong
-4.2% − Sapucaia, Brazil
strong
-18.8% − Chimbote, Peru
strong
-22.8% − Curitiba, Brazil
strong
-24.8% − Sergiev Posad, Russia
happy
-17.8% − Mojokerto, Indonesia
strong
-13.8% − Kotte, Sri Lanka
confused
-1.5% − Rouen, France
strong
-6.3% − Jiamusi, China
strong
-18.6% − Richmond, United States
confused
-21.8% − Magdeburg, Germany
strong
-23.7% − Bridgeport, United States
strong
-18.9% − Adana, Turkey
confused
-23.4% − Kochi, India
strong
-24.8% − Luohe, China
happy
-22.9% − Leipzig, Germany
strong
-21.8% − Muntinlupa, Philippines
strong
-19.8% −
=
Reggio di Calabria, Italy
happy
− Bihar Sharif, India
happy
− Angren, Uzbekistan
confused
− Alagoinhas, Brazil
strong
− Debrezit, Ethiopia
happy
− Korla, China
strong
− Salamanca, Mexico
strong
− Dlepmealow, South Africa
happy
− Chinhae, Korea, South
happy
− Dayuan, China
happy
− Lipetsk, Russia
strong
− Changweon, Korea, South
happy
− Yuncheng, China
weak
− Chongli, China
weak
− Al-Rakka, Syrian Arab Republic
happy
− Novocherkassk, Russia
happy
− Pórto Velho, Brazil
happy
− Kashihara, Japan
happy
− Nasariya, Iraq
happy
− Evpatoriya, Ukraine
happy
− Shuangyashan, China
happy
− Syktivkar, Russia
happy
− Pinxiang, China
happy
− Sao José do Rio Prêto, Brazil
happy
− Guangshui, China
happy
− Basingstoke & Deane, United Kingdom
happy
− Sialkote, Pakistan
happy
− Rubtsovsk, Russia
happy
− Jinin, China
happy
− Moji-Guaçu, Brazil
happy
− Sidi-bel-Abbès, Algeria
happy
− Xuchang, China
happy
− Kadhimain, Iraq
happy
− Kanhangad, India
happy
− Ferraz de Vasconcelos, Brazil
happy
− Soyapango, El Salvador
happy
− Shaown, China
happy
− Khouribga, Morocco
sad
− Kurume, Japan
guilty
− Taldikorgan, Kazakstan
happy
− Durg, India
weak
− Kiselevsk, Russia
happy
− Guikong, China
happy
− Taiyan, China
happy
− Xiaocan, China
happy
− Niiza, Japan
happy
− Mudangiang, China
happy
− Meizhou, China
strong
− Artux, China
happy
− Jastrzebie - Zdrój, Poland
confused
− Deir El-Zor, Syrian Arab Republic
happy
− Calithèa, Greece
happy
− Holon, Israel
confused
− Taian, China
confused
− San Fernando de Apure, Venezuela
strong
− Nandyal, India
happy
− Colimas, Mexico
happy
− Sirjan, Iran
happy
− Sao Joao de Meriti, Brazil
happy
− Shanwei, China
confused
− Huaiyin, China
happy
− Juazeiro do Norte, Brazil
happy
−
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ecstatic
weak
helpless
hopeless
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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
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super
angry
furious
enraged
outraged
aggravated
irate