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
Gurgaon, India strong +14.2% − Abeokuta, Nigeria happy +19.5% − Hamilton, Canada confused +21.0% − Arad, Romania strong +11.8% − Rangpur, Bangladesh happy +24.3% − Pohang, Korea, South confused +21.8% − Eastleigh, United Kingdom happy +19.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − Kure, Japan happy +17.9% − Laval, Canada strong +10.7% − The Wrekin, United Kingdom happy +23.6% − San Sebastián, Spain confused +24.0% − Vallejo, United States confused +21.9% − Jamalpur, Bangladesh confused +17.7% − Sikar, India confused +24.6% − Gurgaon, India strong +14.2% − Ubon Ratchathani, Thailand confused +23.5% − Daxian, China sad +23.8% − Smolensk, Russia happy +17.6% − TIRANA, Albania sad +18.7% − Kofu, Japan confused +20.9% − Tacoma, United States confused +20.3% − East Hampshire, United Kingdom confused +19.0% − Mbeya, Tanzania confused +22.8% − Giza, Egypt confused +23.8% − Ambala, India happy +21.8% − Abeokuta, Nigeria happy +19.5% − Pocos de Caldas, Brazil strong +24.0% − Phoenix, United States strong +11.7% − Surakarta, Indonesia strong +20.9% − Jhang, Pakistan strong +23.9% − Ulan-Ude, Russia confused +2.6% − Pinar del Río, Cuba confused +18.6% − Tarragona, Spain strong +21.8% − Thai Nguyen, Vietnam sad +18.1% − Vadakara, India sad +6.6% − Sedgemoor, United Kingdom strong +19.3% − Oberhausen, Germany weak +19.1% − Guarapuava, Brazil strong +18.9% − Silay, Philippines happy +19.9% − ST. GEORGES, Grenada strong +19.2% − Burgos, Spain strong +19.8% − Beaumont, United States confused +12.1% − LA HABANA, Cuba strong +18.2% − Zonguldak, Turkey strong +22.9% − Botou, China strong +24.2% − Caruaru, Brazil strong +18.6% − The Wrekin, United Kingdom happy +23.6% − Piracicaba, Brazil strong +20.7% − San Cristóbal, Venezuela weak +18.5% − Yao, Japan strong +22.0% − BRIDGETOWN, Barbados confused +23.8% − Grodno, Belarus sad +19.8% − Regensburg, Germany strong +16.0% − BASSE-TERRE, Guadeloupe strong +24.8% − Mulhouse, France happy +21.4% − Yavatmal, India guilty +24.6% − Hachinohe, Japan strong +21.2% − Tangshan, China weak +22.3% − Tameside, United Kingdom confused +19.1% − Anyang, China confused +1.0% − Ulsan, Korea, South confused +24.5% − Erbil, Iraq strong +20.1% − Susano, Brazil strong +1.7% − Loudi, China weak +17.8% − Xichang, China confused +20.3% − Chillán, Chile strong +21.7% − Fukuoka, Japan weak +13.4% − Botou, China strong +24.2% − Warren, United States strong +22.1% − North York, Canada strong +20.2% − Erlangen, Germany confused +22.9% − Tyumen, Russia strong +7.1% − Remscheid, Germany strong +19.6% − Medellín, Colombia strong +21.8% − Vallejo, United States confused +21.9% − Baranovichi, Belarus strong +18.5% − Ubon Ratchathani, Thailand confused +23.5% − Mönchengladbach, Germany happy +14.7% − Diyarbakir, Turkey strong +22.7% − Guilin, China strong +3.0% − Raniganj, India confused +23.2% − Várzea Grande, Brazil strong +21.5% − Lisburn, United Kingdom strong +19.9% − Xichang, China confused +20.3% − Maiduguri, Nigeria confused +21.6% − Engels, Russia strong +21.7% − Chungju, Korea, South sad +4.6% − Anjo, Japan strong +2.2% − PANAMA, Panama strong +3.1% − Dunfermline, United Kingdom confused +6.9% − Paraná, Argentina strong +12.3% − Monywa, Myanmar confused +22.1% − Chungju, Korea, South sad +4.6% − Zonguldak, Turkey strong +22.9% − Jequié, Brazil strong +5.6% − Boksburg, South Africa confused +18.1% − Waitakere, New Zealand confused +23.5% − Amiens, France confused +22.5% − Yokkaichi, Japan strong +19.6% − Fresno, United States strong +21.7% −
Richmond, United States confused -21.8% − Gent, Belgium strong -4.2% − Ingolstadt, Germany strong -14.9% − Floridablanca, Colombia strong -22.9% − Hampton, United States strong -12.1% − Dourados, Brazil strong -1.2% − Leipzig, Germany strong -21.8% − South Cambridgeshire, United Kingdom strong -17.7% − Teignbridge, United Kingdom confused -20.2% − Amagasaki, Japan happy -24.2% − Alexandria, United States strong -11.9% − Zaria, Nigeria confused -18.6% − Serra, Brazil strong -5.4% − Kisumu, Kenya confused -19.7% − Sukabumi, Indonesia happy -9.2% − Brescia, Italy strong -18.6% − Kochi, India strong -24.8% − Petrópolis, Brazil strong -18.6% − Luohe, China happy -22.9% − San Jose, United States confused -24.0% − Sefton, United Kingdom strong -5.2% − Queimados, Brazil strong -20.4% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Peshawar, Pakistan strong -24.4% − Adana, Turkey confused -23.4% − San Pablo, Philippines strong -18.3% − Chiba, Japan strong -24.8% − Mojokerto, Indonesia strong -13.8% − Iseyin, Nigeria happy -22.8% − Anand, India strong -3.1% − Curitiba, Brazil strong -24.8% − Gujrat, Pakistan strong -22.0% − Batangas, Philippines strong -22.8% − Cochabamba, Bolivia strong -23.2% − Kitchener, Canada strong -15.2% − Sapucaia, Brazil strong -18.8% − Aguascalientes, Mexico strong -17.6% − Palakkad, India strong -17.6% − Sergiev Posad, Russia happy -17.8% − Yingcheng, China happy -22.9% − Jiamusi, China strong -18.6% − Tanjung Balai, Indonesia weak -4.9% − NOUMEA, New Caledonia strong -18.8% − Kawachinagano, Japan happy -22.9% − Manchester, United Kingdom strong -9.2% − Geelong, Australia confused -2.1% − Braila, Romania strong -17.5% − Kotte, Sri Lanka confused -1.5% − Birmingham, United States confused -22.6% − LISBON, Portugal strong -7.5% − Bareilly, India confused -23.5% − Quezon City, Philippines strong -4.0% − Durango, Mexico strong -25.0% − Nhatrang, Vietnam happy -22.9% − Irving, United States strong -20.4% − Darlington, United Kingdom strong -24.3% − Rouen, France strong -6.3% − Richmond, United States confused -21.8% − MONROVIA, Liberia happy -23.4% − Tampa, United States confused -19.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Halifax, Canada strong -19.1% − Toluca, Mexico confused -22.6% − Valencia, Venezuela confused -8.0% − Chimbote, Peru strong -22.8% − Jinan, China strong -8.9% − Magdeburg, Germany strong -23.7% − Chicago, United States strong -18.5% − Fukuyama, Japan strong -22.7% − Bridgeport, United States strong -18.9% − Jersey City, United States strong -23.2% − Muntinlupa, Philippines strong -19.8% −
=
Xuchang, China happy − Shuangyashan, China happy − Guangshui, China happy − Debrezit, Ethiopia happy − Chongli, China weak − Juazeiro do Norte, Brazil happy − Holon, Israel confused − Pinxiang, China happy − Shaown, China happy − Novocherkassk, Russia happy − Meizhou, China strong − Changweon, Korea, South happy − Sirjan, Iran happy − Calithèa, Greece happy − Taiyan, China happy − Moji-Guaçu, Brazil happy − Jinin, China happy − Bihar Sharif, India happy − Sao Joao de Meriti, Brazil happy − Mudangiang, China happy − Colimas, Mexico happy − Basingstoke & Deane, United Kingdom happy − Al-Rakka, Syrian Arab Republic happy − Syktivkar, Russia happy − Taian, China confused − Alagoinhas, Brazil strong − Sao José do Rio Prêto, Brazil happy − Kadhimain, Iraq happy − Artux, China happy − Salamanca, Mexico strong − Nasariya, Iraq happy − Niiza, Japan happy − Durg, India weak − Chinhae, Korea, South happy − Sidi-bel-Abbès, Algeria happy − Nandyal, India happy − Ferraz de Vasconcelos, Brazil happy − Taldikorgan, Kazakstan happy − Korla, China strong − Kashihara, Japan happy − Sialkote, Pakistan happy − Jastrzebie - Zdrój, Poland confused − Yuncheng, China weak − Kurume, Japan guilty − Angren, Uzbekistan confused − Pórto Velho, Brazil happy − Dayuan, China happy − Evpatoriya, Ukraine happy − Kiselevsk, Russia happy − Lipetsk, Russia strong − Huaiyin, China happy − Xiaocan, China happy − Rubtsovsk, Russia happy − Guikong, China happy − Deir El-Zor, Syrian Arab Republic happy − Khouribga, Morocco sad − Kanhangad, India happy − Reggio di Calabria, Italy happy − Shanwei, China confused − Dlepmealow, South Africa happy − San Fernando de Apure, Venezuela strong − Soyapango, El Salvador happy
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