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
San Cristóbal, Venezuela weak +18.5% − Pinar del Río, Cuba confused +18.6% − Daxian, China sad +23.8% − Regensburg, Germany strong +16.0% − Ndola, Zambia happy +17.9% − Xichang, China confused +20.3% − Chillán, Chile strong +21.7% − Mbeya, Tanzania confused +22.8% − Remscheid, Germany strong +19.6% − Yavatmal, India guilty +24.6% − East Hampshire, United Kingdom confused +19.0% − Gurgaon, India strong +14.2% − Erbil, Iraq strong +20.1% − Pohang, Korea, South confused +21.8% − Arad, Romania strong +11.8% − Diyarbakir, Turkey strong +22.7% − Tangshan, China weak +22.3% − Anyang, China confused +1.0% − Pinar del Río, Cuba confused +18.6% − Loudi, China weak +17.8% − Chon Buri, Thailand strong +23.4% − Mulhouse, France happy +21.4% − Baranovichi, Belarus strong +18.5% − Jamalpur, Bangladesh confused +17.7% − PANAMA, Panama strong +3.1% − Chungju, Korea, South sad +4.6% − Kharagpur, India strong +17.6% − Boksburg, South Africa confused +18.1% − Amiens, France confused +22.5% − Laval, Canada strong +10.7% − Zonguldak, Turkey strong +22.9% − Dunfermline, United Kingdom confused +6.9% − LA HABANA, Cuba strong +18.2% − Monywa, Myanmar confused +22.1% − Malabon, Philippines happy +23.0% − Ubon Ratchathani, Thailand confused +23.5% − Engels, Russia strong +21.7% − Silay, Philippines happy +19.9% − Yokkaichi, Japan strong +19.6% − Tegal, Indonesia confused +4.6% − Botou, China strong +24.2% − Erlangen, Germany confused +22.9% − San Sebastián, Spain confused +24.0% − Cardiff, United Kingdom strong +16.1% − Smolensk, Russia happy +17.6% − Kure, Japan happy +17.9% − Oberhausen, Germany weak +19.1% − Huntington Beach, United States strong +23.2% − Medellín, Colombia strong +21.8% − The Wrekin, United Kingdom happy +23.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Guilin, China strong +3.0% − Vallejo, United States confused +21.9% − Piracicaba, Brazil strong +20.7% − Hachinohe, Japan strong +21.2% − Ulan-Ude, Russia confused +2.6% − Chungju, Korea, South sad +4.6% − Tacoma, United States confused +20.3% − Xichang, China confused +20.3% − Vadakara, India sad +6.6% − Beaumont, United States confused +12.1% − Vallejo, United States confused +21.9% − Abeokuta, Nigeria happy +19.5% − Eastleigh, United Kingdom happy +19.0% − Gaya, India strong +23.6% − Pocos de Caldas, Brazil strong +24.0% − Zonguldak, Turkey strong +22.9% − Surakarta, Indonesia strong +20.9% − Ichikawa, Japan strong +4.5% − Fukuoka, Japan weak +13.4% − Oberhausen, Germany weak +19.1% − Shaoyang, China weak +21.8% − Jequié, Brazil strong +5.6% − Cangzhou, China confused +17.7% − Ulsan, Korea, South confused +24.5% − Mönchengladbach, Germany happy +14.7% − Engels, Russia strong +21.7% − Raniganj, India confused +23.2% − ST. GEORGES, Grenada strong +19.2% − Caruaru, Brazil strong +18.6% − Sedgemoor, United Kingdom strong +19.3% − The Wrekin, United Kingdom happy +23.6% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Lapu-Lapu, Philippines strong +24.6% − Tacoma, United States confused +20.3% − Rangpur, Bangladesh happy +24.3% − Unnao, India weak +18.8% − Waverley, United Kingdom weak +24.4% − Nizhnekamsk, Russia confused +21.0% − Abeokuta, Nigeria happy +19.5% − Fresno, United States strong +21.7% − Gurgaon, India strong +14.2% − Várzea Grande, Brazil strong +21.5% − Jhang, Pakistan strong +23.9% − Burgos, Spain strong +19.8% − Sikar, India confused +24.6% − Bobo Dioulasso, Burkina Faso angry +20.4% − Susano, Brazil strong +1.7% − Waitakere, New Zealand confused +23.5% − TIRANA, Albania sad +18.7% − Botou, China strong +24.2% −
Zaria, Nigeria confused -18.6% − Batangas, Philippines strong -22.8% − Richmond, United States confused -21.8% − Queimados, Brazil strong -20.4% − Sapucaia, Brazil strong -18.8% − Jinan, China strong -8.9% − Kotte, Sri Lanka confused -1.5% − Mojokerto, Indonesia strong -13.8% − Crewe & Nantwich, United Kingdom strong -17.6% − NOUMEA, New Caledonia strong -18.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Ingolstadt, Germany strong -14.9% − Chicago, United States strong -18.5% − Peshawar, Pakistan strong -24.4% − South Cambridgeshire, United Kingdom strong -17.7% − Toluca, Mexico confused -22.6% − Halifax, Canada strong -19.1% − Alexandria, United States strong -11.9% − Brescia, Italy strong -18.6% − Tampa, United States confused -19.1% − Aguascalientes, Mexico strong -17.6% − Irving, United States strong -20.4% − Richmond, United States confused -21.8% − Magdeburg, Germany strong -23.7% − Braila, Romania strong -17.5% − Bareilly, India confused -23.5% − Muntinlupa, Philippines strong -19.8% − Kawachinagano, Japan happy -22.9% − Palakkad, India strong -17.6% − Adana, Turkey confused -23.4% − Durango, Mexico strong -25.0% − Teignbridge, United Kingdom confused -20.2% − Rouen, France strong -6.3% − Iseyin, Nigeria happy -22.8% − San Jose, United States confused -24.0% − Sukabumi, Indonesia happy -9.2% − LISBON, Portugal strong -7.5% − Chiba, Japan strong -24.8% − Tanjung Balai, Indonesia weak -4.9% − Gujrat, Pakistan strong -22.0% − Sergiev Posad, Russia happy -17.8% − Geelong, Australia confused -2.1% − Floridablanca, Colombia strong -22.9% − Valencia, Venezuela confused -8.0% − Jersey City, United States strong -23.2% − Quezon City, Philippines strong -4.0% − Birmingham, United States confused -22.6% − Amagasaki, Japan happy -24.2% − Curitiba, Brazil strong -24.8% − MONROVIA, Liberia happy -23.4% − Darlington, United Kingdom strong -24.3% − Nhatrang, Vietnam happy -22.9% − Kitchener, Canada strong -15.2% − Manchester, United Kingdom strong -9.2% − Hampton, United States strong -12.1% − Fukuyama, Japan strong -22.7% − Petrópolis, Brazil strong -18.6% − Cochabamba, Bolivia strong -23.2% − Kochi, India strong -24.8% − Yingcheng, China happy -22.9% − Bridgeport, United States strong -18.9% − Dourados, Brazil strong -1.2% − Chimbote, Peru strong -22.8% − Luohe, China happy -22.9% − Jiamusi, China strong -18.6% − Gent, Belgium strong -4.2% − Leipzig, Germany strong -21.8% − San Pablo, Philippines strong -18.3% − Sefton, United Kingdom strong -5.2% − Anand, India strong -3.1% − Kisumu, Kenya confused -19.7% − Serra, Brazil strong -5.4% −
=
Alagoinhas, Brazil strong − Novocherkassk, Russia happy − Ferraz de Vasconcelos, Brazil happy − Angren, Uzbekistan confused − Chongli, China weak − Guangshui, China happy − Dayuan, China happy − Shaown, China happy − Colimas, Mexico happy − Sialkote, Pakistan happy − Khouribga, Morocco sad − Bihar Sharif, India happy − Basingstoke & Deane, United Kingdom happy − Calithèa, Greece happy − Chinhae, Korea, South happy − Kadhimain, Iraq happy − Taiyan, China happy − Juazeiro do Norte, Brazil happy − Rubtsovsk, Russia happy − Shanwei, China confused − Holon, Israel confused − Taldikorgan, Kazakstan happy − Taian, China confused − Artux, China happy − Meizhou, China strong − Jinin, China happy − Debrezit, Ethiopia happy − Sirjan, Iran happy − Xuchang, China happy − Xiaocan, China happy − Evpatoriya, Ukraine happy − Durg, India weak − Kanhangad, India happy − Kashihara, Japan happy − Kurume, Japan guilty − Yuncheng, China weak − Deir El-Zor, Syrian Arab Republic happy − Sao Joao de Meriti, Brazil happy − Lipetsk, Russia strong − Nandyal, India happy − Dlepmealow, South Africa happy − Nasariya, Iraq happy − San Fernando de Apure, Venezuela strong − Huaiyin, China happy − Jastrzebie - Zdrój, Poland confused − Guikong, China happy − Niiza, Japan happy − Pórto Velho, Brazil happy − Kiselevsk, Russia happy − Salamanca, Mexico strong − Syktivkar, Russia happy − Changweon, Korea, South happy − Sidi-bel-Abbès, Algeria happy − Soyapango, El Salvador happy − Korla, China strong − Mudangiang, China happy − Sao José do Rio Prêto, Brazil happy − Shuangyashan, China happy − Reggio di Calabria, Italy happy − Moji-Guaçu, Brazil happy − Pinxiang, China happy − Al-Rakka, Syrian Arab Republic 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