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
Fukuoka, Japan weak +13.4% − Paraná, Argentina strong +12.3% − Sedgemoor, United Kingdom strong +19.3% − Tacoma, United States confused +20.3% − Abeokuta, Nigeria happy +19.5% − Surakarta, Indonesia strong +20.9% − Diyarbakir, Turkey strong +22.7% − Yokkaichi, Japan strong +19.6% − Ubon Ratchathani, Thailand confused +23.5% − Pinar del Río, Cuba confused +18.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Arad, Romania strong +11.8% − Engels, Russia strong +21.7% − Mbeya, Tanzania confused +22.8% − Cangzhou, China confused +17.7% − Daxian, China sad +23.8% − Zonguldak, Turkey strong +22.9% − Vallejo, United States confused +21.9% − Xichang, China confused +20.3% − Tegal, Indonesia confused +4.6% − Gurgaon, India strong +14.2% − Xichang, China confused +20.3% − The Wrekin, United Kingdom happy +23.6% − Thai Nguyen, Vietnam sad +18.1% − Fresno, United States strong +21.7% − Raniganj, India confused +23.2% − Monywa, Myanmar confused +22.1% − TIRANA, Albania sad +18.7% − LA HABANA, Cuba strong +18.2% − Mönchengladbach, Germany happy +14.7% − Ambala, India happy +21.8% − Yao, Japan strong +22.0% − Dunfermline, United Kingdom confused +6.9% − Anyang, China confused +1.0% − Ulan-Ude, Russia confused +2.6% − ST. GEORGES, Grenada strong +19.2% − Zonguldak, Turkey strong +22.9% − Tyumen, Russia strong +7.1% − Silay, Philippines happy +19.9% − Jequié, Brazil strong +5.6% − Tacoma, United States confused +20.3% − Jamalpur, Bangladesh confused +17.7% − Remscheid, Germany strong +19.6% − Huntington Beach, United States strong +23.2% − Kofu, Japan confused +20.9% − Gurgaon, India strong +14.2% − Boksburg, South Africa confused +18.1% − Pohang, Korea, South confused +21.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Chungju, Korea, South sad +4.6% − Loudi, China weak +17.8% − Phoenix, United States strong +11.7% − Grodno, Belarus sad +19.8% − Piracicaba, Brazil strong +20.7% − Tarragona, Spain strong +21.8% − Shaoyang, China weak +21.8% − Jhang, Pakistan strong +23.9% − Pinar del Río, Cuba confused +18.6% − Yavatmal, India guilty +24.6% − Baranovichi, Belarus strong +18.5% − The Wrekin, United Kingdom happy +23.6% − Ndola, Zambia happy +17.9% − Unnao, India weak +18.8% − Hamilton, Canada confused +21.0% − Erlangen, Germany confused +22.9% − Pocos de Caldas, Brazil strong +24.0% − Medellín, Colombia strong +21.8% − Tangshan, China weak +22.3% − San Cristóbal, Venezuela weak +18.5% − Botou, China strong +24.2% − Vallejo, United States confused +21.9% − Chungju, Korea, South sad +4.6% − Nizhnekamsk, Russia confused +21.0% − Guilin, China strong +3.0% − San Sebastián, Spain confused +24.0% − North York, Canada strong +20.2% − Maiduguri, Nigeria confused +21.6% − Mulhouse, France happy +21.4% − Oberhausen, Germany weak +19.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Lisburn, United Kingdom strong +19.9% − BASSE-TERRE, Guadeloupe strong +24.8% − Malabon, Philippines happy +23.0% − Anjo, Japan strong +2.2% − Gaya, India strong +23.6% − East Hampshire, United Kingdom confused +19.0% − Tameside, United Kingdom confused +19.1% − Springfield, United States confused +5.1% − PANAMA, Panama strong +3.1% − Ulsan, Korea, South confused +24.5% − Hachinohe, Japan strong +21.2% − Lapu-Lapu, Philippines strong +24.6% − Erbil, Iraq strong +20.1% − Sikar, India confused +24.6% − BISHKEK, Kyrgyzstan weak +8.9% − Botou, China strong +24.2% − Regensburg, Germany strong +16.0% − Ubon Ratchathani, Thailand confused +23.5% − Giza, Egypt confused +23.8% − Remscheid, Germany strong +19.6% − Abeokuta, Nigeria happy +19.5% −
Darlington, United Kingdom strong -24.3% − San Jose, United States confused -24.0% − Sefton, United Kingdom strong -5.2% − Nhatrang, Vietnam happy -22.9% − Chiba, Japan strong -24.8% − Hampton, United States strong -12.1% − Durango, Mexico strong -25.0% − Dourados, Brazil strong -1.2% − Richmond, United States confused -21.8% − Kawachinagano, Japan happy -22.9% − Kochi, India strong -24.8% − MONROVIA, Liberia happy -23.4% − Geelong, Australia confused -2.1% − Serra, Brazil strong -5.4% − Valencia, Venezuela confused -8.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Curitiba, Brazil strong -24.8% − Jersey City, United States strong -23.2% − Tampa, United States confused -19.1% − South Cambridgeshire, United Kingdom strong -17.7% − Amagasaki, Japan happy -24.2% − Halifax, Canada strong -19.1% − Anand, India strong -3.1% − LISBON, Portugal strong -7.5% − Bareilly, India confused -23.5% − Muntinlupa, Philippines strong -19.8% − Iseyin, Nigeria happy -22.8% − Chicago, United States strong -18.5% − Fukuyama, Japan strong -22.7% − Gujrat, Pakistan strong -22.0% − Leipzig, Germany strong -21.8% − Braila, Romania strong -17.5% − Zaria, Nigeria confused -18.6% − Brescia, Italy strong -18.6% − Irving, United States strong -20.4% − Toluca, Mexico confused -22.6% − Sergiev Posad, Russia happy -17.8% − Petrópolis, Brazil strong -18.6% − San Pablo, Philippines strong -18.3% − Richmond, United States confused -21.8% − Floridablanca, Colombia strong -22.9% − Teignbridge, United Kingdom confused -20.2% − Sapucaia, Brazil strong -18.8% − Jinan, China strong -8.9% − Manchester, United Kingdom strong -9.2% − Kisumu, Kenya confused -19.7% − Kitchener, Canada strong -15.2% − Luohe, China happy -22.9% − Ingolstadt, Germany strong -14.9% − Birmingham, United States confused -22.6% − Chimbote, Peru strong -22.8% − NOUMEA, New Caledonia strong -18.8% − Yingcheng, China happy -22.9% − Batangas, Philippines strong -22.8% − Peshawar, Pakistan strong -24.4% − Quezon City, Philippines strong -4.0% − Magdeburg, Germany strong -23.7% − Cochabamba, Bolivia strong -23.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Queimados, Brazil strong -20.4% − Adana, Turkey confused -23.4% − Aguascalientes, Mexico strong -17.6% − Alexandria, United States strong -11.9% − Palakkad, India strong -17.6% − Sukabumi, Indonesia happy -9.2% − Bridgeport, United States strong -18.9% − Mojokerto, Indonesia strong -13.8% − Kotte, Sri Lanka confused -1.5% − Rouen, France strong -6.3% − Tanjung Balai, Indonesia weak -4.9% − Gent, Belgium strong -4.2% − Jiamusi, China strong -18.6% −
=
Durg, India weak − Korla, China strong − Sirjan, Iran happy − Pinxiang, China happy − Salamanca, Mexico strong − Sao José do Rio Prêto, Brazil happy − Kurume, Japan guilty − Evpatoriya, Ukraine happy − Meizhou, China strong − Huaiyin, China happy − Kadhimain, Iraq happy − Bihar Sharif, India happy − Guikong, China happy − Juazeiro do Norte, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Chongli, China weak − Pórto Velho, Brazil happy − Dlepmealow, South Africa happy − Nandyal, India happy − Reggio di Calabria, Italy happy − Niiza, Japan happy − Soyapango, El Salvador happy − Yuncheng, China weak − Guangshui, China happy − Basingstoke & Deane, United Kingdom happy − Artux, China happy − Xuchang, China happy − Kashihara, Japan happy − Kanhangad, India happy − Rubtsovsk, Russia happy − Taiyan, China happy − Shuangyashan, China happy − Kiselevsk, Russia happy − Colimas, Mexico happy − Calithèa, Greece happy − Sidi-bel-Abbès, Algeria happy − Khouribga, Morocco sad − San Fernando de Apure, Venezuela strong − Taian, China confused − Alagoinhas, Brazil strong − Sialkote, Pakistan happy − Al-Rakka, Syrian Arab Republic happy − Xiaocan, China happy − Angren, Uzbekistan confused − Shanwei, China confused − Syktivkar, Russia happy − Moji-Guaçu, Brazil happy − Chinhae, Korea, South happy − Shaown, China happy − Deir El-Zor, Syrian Arab Republic happy − Changweon, Korea, South happy − Taldikorgan, Kazakstan happy − Jinin, China happy − Jastrzebie - Zdrój, Poland confused − Debrezit, Ethiopia happy − Dayuan, China happy − Nasariya, Iraq happy − Lipetsk, Russia strong − Mudangiang, China happy − Novocherkassk, Russia happy − Sao Joao de Meriti, Brazil happy − Holon, Israel confused
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