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
Sikar, India confused +24.6% − Tacoma, United States confused +20.3% − Waitakere, New Zealand confused +23.5% − Amiens, France confused +22.5% − Mönchengladbach, Germany happy +14.7% − Regensburg, Germany strong +16.0% − Phoenix, United States strong +11.7% − Jhang, Pakistan strong +23.9% − Huntington Beach, United States strong +23.2% − Lapu-Lapu, Philippines strong +24.6% − Arad, Romania strong +11.8% − Cardiff, United Kingdom strong +16.1% − Tangshan, China weak +22.3% − East Hampshire, United Kingdom confused +19.0% − Chungju, Korea, South sad +4.6% − Mbeya, Tanzania confused +22.8% − Ambala, India happy +21.8% − TIRANA, Albania sad +18.7% − Thai Nguyen, Vietnam sad +18.1% − BASSE-TERRE, Guadeloupe strong +24.8% − La Spezia, Italy confused +22.0% − Chillán, Chile strong +21.7% − LA HABANA, Cuba strong +18.2% − Silay, Philippines happy +19.9% − The Wrekin, United Kingdom happy +23.6% − Daxian, China sad +23.8% − Jequié, Brazil strong +5.6% − Susano, Brazil strong +1.7% − Gurgaon, India strong +14.2% − Dunfermline, United Kingdom confused +6.9% − Hamilton, Canada confused +21.0% − Várzea Grande, Brazil strong +21.5% − Maiduguri, Nigeria confused +21.6% − Raniganj, India confused +23.2% − Nizhnekamsk, Russia confused +21.0% − Baranovichi, Belarus strong +18.5% − Giza, Egypt confused +23.8% − Zonguldak, Turkey strong +22.9% − Tameside, United Kingdom confused +19.1% − Burgos, Spain strong +19.8% − Kure, Japan happy +17.9% − Fukuoka, Japan weak +13.4% − Shaoyang, China weak +21.8% − Xichang, China confused +20.3% − Guarapuava, Brazil strong +18.9% − The Wrekin, United Kingdom happy +23.6% − Botou, China strong +24.2% − Surakarta, Indonesia strong +20.9% − Warren, United States strong +22.1% − Hachinohe, Japan strong +21.2% − Jamalpur, Bangladesh confused +17.7% − Remscheid, Germany strong +19.6% − Chon Buri, Thailand strong +23.4% − Pocos de Caldas, Brazil strong +24.0% − Piracicaba, Brazil strong +20.7% − Zonguldak, Turkey strong +22.9% − Erbil, Iraq strong +20.1% − Fresno, United States strong +21.7% − Ndola, Zambia happy +17.9% − Ubon Ratchathani, Thailand confused +23.5% − Jhang, Pakistan strong +23.9% − Gurgaon, India strong +14.2% − Kharagpur, India strong +17.6% − Ubon Ratchathani, Thailand confused +23.5% − Gaya, India strong +23.6% − Anjo, Japan strong +2.2% − Abeokuta, Nigeria happy +19.5% − Eastleigh, United Kingdom happy +19.0% − Ulsan, Korea, South confused +24.5% − Vallejo, United States confused +21.9% − Tyumen, Russia strong +7.1% − Monywa, Myanmar confused +22.1% − Remscheid, Germany strong +19.6% − Botou, China strong +24.2% − Guilin, China strong +3.0% − Tegal, Indonesia confused +4.6% − Cangzhou, China confused +17.7% − Erlangen, Germany confused +22.9% − Caruaru, Brazil strong +18.6% − ROAD TOWN, British Virgin Islands confused +22.0% − PANAMA, Panama strong +3.1% − Oberhausen, Germany weak +19.1% − Grodno, Belarus sad +19.8% − Tacoma, United States confused +20.3% − Tarragona, Spain strong +21.8% − Diyarbakir, Turkey strong +22.7% − North York, Canada strong +20.2% − Boksburg, South Africa confused +18.1% − Pinar del Río, Cuba confused +18.6% − Yokkaichi, Japan strong +19.6% − BRIDGETOWN, Barbados confused +23.8% − Ichikawa, Japan strong +4.5% − Rangpur, Bangladesh happy +24.3% − Kofu, Japan confused +20.9% − Paraná, Argentina strong +12.3% − ST. GEORGES, Grenada strong +19.2% − Pinar del Río, Cuba confused +18.6% − Mulhouse, France happy +21.4% − Malabon, Philippines happy +23.0% − Chungju, Korea, South sad +4.6% − Bobo Dioulasso, Burkina Faso angry +20.4% −
Manchester, United Kingdom strong -9.2% − Jinan, China strong -8.9% − Cochabamba, Bolivia strong -23.2% − Gent, Belgium strong -4.2% − Yingcheng, China happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Adana, Turkey confused -23.4% − San Pablo, Philippines strong -18.3% − Palakkad, India strong -17.6% − Chiba, Japan strong -24.8% − Sefton, United Kingdom strong -5.2% − Valencia, Venezuela confused -8.0% − Halifax, Canada strong -19.1% − Chicago, United States strong -18.5% − Petrópolis, Brazil strong -18.6% − Magdeburg, Germany strong -23.7% − Amagasaki, Japan happy -24.2% − Brescia, Italy strong -18.6% − Alexandria, United States strong -11.9% − Tanjung Balai, Indonesia weak -4.9% − Luohe, China happy -22.9% − LISBON, Portugal strong -7.5% − Kawachinagano, Japan happy -22.9% − Durango, Mexico strong -25.0% − Serra, Brazil strong -5.4% − Ingolstadt, Germany strong -14.9% − Geelong, Australia confused -2.1% − Fukuyama, Japan strong -22.7% − Birmingham, United States confused -22.6% − Kitchener, Canada strong -15.2% − Kisumu, Kenya confused -19.7% − Bridgeport, United States strong -18.9% − South Cambridgeshire, United Kingdom strong -17.7% − Curitiba, Brazil strong -24.8% − Muntinlupa, Philippines strong -19.8% − Floridablanca, Colombia strong -22.9% − Jiamusi, China strong -18.6% − Leipzig, Germany strong -21.8% − Sukabumi, Indonesia happy -9.2% − Toluca, Mexico confused -22.6% − Richmond, United States confused -21.8% − Richmond, United States confused -21.8% − Queimados, Brazil strong -20.4% − Dourados, Brazil strong -1.2% − Darlington, United Kingdom strong -24.3% − Rouen, France strong -6.3% − Irving, United States strong -20.4% − Hampton, United States strong -12.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Mojokerto, Indonesia strong -13.8% − Jersey City, United States strong -23.2% − Sergiev Posad, Russia happy -17.8% − Kochi, India strong -24.8% − Braila, Romania strong -17.5% − Chimbote, Peru strong -22.8% − Sapucaia, Brazil strong -18.8% − Aguascalientes, Mexico strong -17.6% − Kotte, Sri Lanka confused -1.5% − Iseyin, Nigeria happy -22.8% − San Jose, United States confused -24.0% − Gujrat, Pakistan strong -22.0% − Batangas, Philippines strong -22.8% − Bareilly, India confused -23.5% − Zaria, Nigeria confused -18.6% − NOUMEA, New Caledonia strong -18.8% − Nhatrang, Vietnam happy -22.9% − Peshawar, Pakistan strong -24.4% − Quezon City, Philippines strong -4.0% − MONROVIA, Liberia happy -23.4% − Tampa, United States confused -19.1% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Anand, India strong -3.1% −
=
Ferraz de Vasconcelos, Brazil happy − Sao José do Rio Prêto, Brazil happy − Chongli, China weak − Kadhimain, Iraq happy − Sialkote, Pakistan happy − Evpatoriya, Ukraine happy − Angren, Uzbekistan confused − San Fernando de Apure, Venezuela strong − Pinxiang, China happy − Deir El-Zor, Syrian Arab Republic happy − Holon, Israel confused − Kiselevsk, Russia happy − Alagoinhas, Brazil strong − Changweon, Korea, South happy − Shanwei, China confused − Guikong, China happy − Taldikorgan, Kazakstan happy − Durg, India weak − Calithèa, Greece happy − Taiyan, China happy − Dayuan, China happy − Meizhou, China strong − Artux, China happy − Colimas, Mexico happy − Bihar Sharif, India happy − Chinhae, Korea, South happy − Debrezit, Ethiopia happy − Xuchang, China happy − Novocherkassk, Russia happy − Sao Joao de Meriti, Brazil happy − Yuncheng, China weak − Jastrzebie - Zdrój, Poland confused − Al-Rakka, Syrian Arab Republic happy − Kurume, Japan guilty − Juazeiro do Norte, Brazil happy − Sidi-bel-Abbès, Algeria happy − Sirjan, Iran happy − Syktivkar, Russia happy − Shuangyashan, China happy − Soyapango, El Salvador happy − Korla, China strong − Nandyal, India happy − Guangshui, China happy − Xiaocan, China happy − Basingstoke & Deane, United Kingdom happy − Salamanca, Mexico strong − Mudangiang, China happy − Reggio di Calabria, Italy happy − Dlepmealow, South Africa happy − Jinin, China happy − Khouribga, Morocco sad − Pórto Velho, Brazil happy − Kanhangad, India happy − Rubtsovsk, Russia happy − Kashihara, Japan happy − Huaiyin, China happy − Lipetsk, Russia strong − Nasariya, Iraq happy − Niiza, Japan happy − Taian, China confused − Shaown, China happy − Moji-Guaçu, Brazil 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