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
Ambala, India happy +21.8% − Tacoma, United States confused +20.3% − Waverley, United Kingdom weak +24.4% − ST. GEORGES, Grenada strong +19.2% − Ubon Ratchathani, Thailand confused +23.5% − Kure, Japan happy +17.9% − East Hampshire, United Kingdom confused +19.0% − Anyang, China confused +1.0% − Mulhouse, France happy +21.4% − Lisburn, United Kingdom strong +19.9% − Unnao, India weak +18.8% − Pinar del Río, Cuba confused +18.6% − Ulan-Ude, Russia confused +2.6% − Cardiff, United Kingdom strong +16.1% − Nizhnekamsk, Russia confused +21.0% − Yavatmal, India guilty +24.6% − Beaumont, United States confused +12.1% − Guarapuava, Brazil strong +18.9% − Phoenix, United States strong +11.7% − Ndola, Zambia happy +17.9% − Giza, Egypt confused +23.8% − Xichang, China confused +20.3% − Tyumen, Russia strong +7.1% − Yokkaichi, Japan strong +19.6% − Erbil, Iraq strong +20.1% − Mbeya, Tanzania confused +22.8% − The Wrekin, United Kingdom happy +23.6% − Erlangen, Germany confused +22.9% − Zonguldak, Turkey strong +22.9% − Abeokuta, Nigeria happy +19.5% − Eastleigh, United Kingdom happy +19.0% − Gurgaon, India strong +14.2% − Vadakara, India sad +6.6% − Jhang, Pakistan strong +23.9% − Hamilton, Canada confused +21.0% − Jamalpur, Bangladesh confused +17.7% − Gaya, India strong +23.6% − Guilin, China strong +3.0% − Chillán, Chile strong +21.7% − Laval, Canada strong +10.7% − Tarragona, Spain strong +21.8% − Abeokuta, Nigeria happy +19.5% − Tangshan, China weak +22.3% − Tacoma, United States confused +20.3% − Raniganj, India confused +23.2% − Warren, United States strong +22.1% − Jequié, Brazil strong +5.6% − LA HABANA, Cuba strong +18.2% − Yao, Japan strong +22.0% − Cangzhou, China confused +17.7% − TIRANA, Albania sad +18.7% − Várzea Grande, Brazil strong +21.5% − Pohang, Korea, South confused +21.8% − Pegu, Myanmar confused +24.1% − ROAD TOWN, British Virgin Islands confused +22.0% − Tegal, Indonesia confused +4.6% − Remscheid, Germany strong +19.6% − Mönchengladbach, Germany happy +14.7% − The Wrekin, United Kingdom happy +23.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Engels, Russia strong +21.7% − Gurgaon, India strong +14.2% − Vallejo, United States confused +21.9% − Caruaru, Brazil strong +18.6% − San Sebastián, Spain confused +24.0% − Fresno, United States strong +21.7% − Waitakere, New Zealand confused +23.5% − Shaoyang, China weak +21.8% − Pinar del Río, Cuba confused +18.6% − Hachinohe, Japan strong +21.2% − Xichang, China confused +20.3% − Sedgemoor, United Kingdom strong +19.3% − BRIDGETOWN, Barbados confused +23.8% − Baranovichi, Belarus strong +18.5% − Zonguldak, Turkey strong +22.9% − Malabon, Philippines happy +23.0% − Susano, Brazil strong +1.7% − Oberhausen, Germany weak +19.1% − Piracicaba, Brazil strong +20.7% − Anjo, Japan strong +2.2% − Rangpur, Bangladesh happy +24.3% − Botou, China strong +24.2% − Fukuoka, Japan weak +13.4% − Botou, China strong +24.2% − Vallejo, United States confused +21.9% − Maiduguri, Nigeria confused +21.6% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Silay, Philippines happy +19.9% − Thai Nguyen, Vietnam sad +18.1% − Oberhausen, Germany weak +19.1% − Lapu-Lapu, Philippines strong +24.6% − Kofu, Japan confused +20.9% − Huntington Beach, United States strong +23.2% − Loudi, China weak +17.8% − Boksburg, South Africa confused +18.1% − La Spezia, Italy confused +22.0% − PANAMA, Panama strong +3.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Pocos de Caldas, Brazil strong +24.0% − Remscheid, Germany strong +19.6% − Smolensk, Russia happy +17.6% −
Hampton, United States strong -12.1% − Anand, India strong -3.1% − Gent, Belgium strong -4.2% − Sergiev Posad, Russia happy -17.8% − Rouen, France strong -6.3% − Jiamusi, China strong -18.6% − Kochi, India strong -24.8% − Serra, Brazil strong -5.4% − Braila, Romania strong -17.5% − Bridgeport, United States strong -18.9% − Halifax, Canada strong -19.1% − Kawachinagano, Japan happy -22.9% − Nhatrang, Vietnam happy -22.9% − Jersey City, United States strong -23.2% − Sefton, United Kingdom strong -5.2% − Cochabamba, Bolivia strong -23.2% − Peshawar, Pakistan strong -24.4% − Crewe & Nantwich, United Kingdom strong -17.6% − Luohe, China happy -22.9% − Iseyin, Nigeria happy -22.8% − Kitchener, Canada strong -15.2% − Sukabumi, Indonesia happy -9.2% − Palakkad, India strong -17.6% − Darlington, United Kingdom strong -24.3% − Ingolstadt, Germany strong -14.9% − Batangas, Philippines strong -22.8% − Chimbote, Peru strong -22.8% − Irving, United States strong -20.4% − Valencia, Venezuela confused -8.0% − Tanjung Balai, Indonesia weak -4.9% − Richmond, United States confused -21.8% − Sapucaia, Brazil strong -18.8% − Teignbridge, United Kingdom confused -20.2% − Chiba, Japan strong -24.8% − NOUMEA, New Caledonia strong -18.8% − Chicago, United States strong -18.5% − Toluca, Mexico confused -22.6% − Fukuyama, Japan strong -22.7% − Alexandria, United States strong -11.9% − Leipzig, Germany strong -21.8% − Zaria, Nigeria confused -18.6% − Dourados, Brazil strong -1.2% − Mojokerto, Indonesia strong -13.8% − Bareilly, India confused -23.5% − Birmingham, United States confused -22.6% − Aguascalientes, Mexico strong -17.6% − South Cambridgeshire, United Kingdom strong -17.7% − Adana, Turkey confused -23.4% − Richmond, United States confused -21.8% − San Jose, United States confused -24.0% − Jinan, China strong -8.9% − MONROVIA, Liberia happy -23.4% − Manchester, United Kingdom strong -9.2% − Geelong, Australia confused -2.1% − LISBON, Portugal strong -7.5% − Amagasaki, Japan happy -24.2% − Petrópolis, Brazil strong -18.6% − Queimados, Brazil strong -20.4% − Curitiba, Brazil strong -24.8% − Gujrat, Pakistan strong -22.0% − San Pablo, Philippines strong -18.3% − Magdeburg, Germany strong -23.7% − Kisumu, Kenya confused -19.7% − Kotte, Sri Lanka confused -1.5% − Tampa, United States confused -19.1% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Durango, Mexico strong -25.0% − Brescia, Italy strong -18.6% − Floridablanca, Colombia strong -22.9% − Muntinlupa, Philippines strong -19.8% − Yingcheng, China happy -22.9% − Quezon City, Philippines strong -4.0% −
=
Kashihara, Japan happy − Sao José do Rio Prêto, Brazil happy − Juazeiro do Norte, Brazil happy − Basingstoke & Deane, United Kingdom happy − Holon, Israel confused − Meizhou, China strong − Angren, Uzbekistan confused − Niiza, Japan happy − Yuncheng, China weak − Sao Joao de Meriti, Brazil happy − San Fernando de Apure, Venezuela strong − Pinxiang, China happy − Artux, China happy − Xuchang, China happy − Dayuan, China happy − Jastrzebie - Zdrój, Poland confused − Nasariya, Iraq happy − Novocherkassk, Russia happy − Shanwei, China confused − Soyapango, El Salvador happy − Kurume, Japan guilty − Nandyal, India happy − Calithèa, Greece happy − Reggio di Calabria, Italy happy − Kiselevsk, Russia happy − Sialkote, Pakistan happy − Syktivkar, Russia happy − Bihar Sharif, India happy − Taldikorgan, Kazakstan happy − Ferraz de Vasconcelos, Brazil happy − Evpatoriya, Ukraine happy − Sirjan, Iran happy − Colimas, Mexico happy − Sidi-bel-Abbès, Algeria happy − Rubtsovsk, Russia happy − Dlepmealow, South Africa happy − Pórto Velho, Brazil happy − Guikong, China happy − Lipetsk, Russia strong − Debrezit, Ethiopia happy − Moji-Guaçu, Brazil happy − Taiyan, China happy − Khouribga, Morocco sad − Shuangyashan, China happy − Salamanca, Mexico strong − Kanhangad, India happy − Mudangiang, China happy − Guangshui, China happy − Alagoinhas, Brazil strong − Kadhimain, Iraq happy − Taian, China confused − Huaiyin, China happy − Xiaocan, China happy − Deir El-Zor, Syrian Arab Republic happy − Durg, India weak − Al-Rakka, Syrian Arab Republic happy − Changweon, Korea, South happy − Chinhae, Korea, South happy − Shaown, China happy − Korla, China strong − Chongli, China weak − Jinin, China 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