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
Rangpur, Bangladesh happy +24.3% − BISHKEK, Kyrgyzstan weak +8.9% − Raniganj, India confused +23.2% − Gurgaon, India strong +14.2% − Regensburg, Germany strong +16.0% − Baranovichi, Belarus strong +18.5% − Daxian, China sad +23.8% − Bobo Dioulasso, Burkina Faso angry +20.4% − The Wrekin, United Kingdom happy +23.6% − Lisburn, United Kingdom strong +19.9% − Xichang, China confused +20.3% − Tangshan, China weak +22.3% − Vallejo, United States confused +21.9% − Jhang, Pakistan strong +23.9% − Waitakere, New Zealand confused +23.5% − Remscheid, Germany strong +19.6% − Ndola, Zambia happy +17.9% − Piracicaba, Brazil strong +20.7% − Burgos, Spain strong +19.8% − Susano, Brazil strong +1.7% − Ubon Ratchathani, Thailand confused +23.5% − Pohang, Korea, South confused +21.8% − Jequié, Brazil strong +5.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Tameside, United Kingdom confused +19.1% − Ichikawa, Japan strong +4.5% − Boksburg, South Africa confused +18.1% − Abeokuta, Nigeria happy +19.5% − Zonguldak, Turkey strong +22.9% − Engels, Russia strong +21.7% − Botou, China strong +24.2% − Oberhausen, Germany weak +19.1% − Erbil, Iraq strong +20.1% − Surakarta, Indonesia strong +20.9% − Pegu, Myanmar confused +24.1% − Tacoma, United States confused +20.3% − Tyumen, Russia strong +7.1% − Chungju, Korea, South sad +4.6% − Grodno, Belarus sad +19.8% − Giza, Egypt confused +23.8% − San Cristóbal, Venezuela weak +18.5% − Hachinohe, Japan strong +21.2% − Mönchengladbach, Germany happy +14.7% − Tarragona, Spain strong +21.8% − East Hampshire, United Kingdom confused +19.0% − Beaumont, United States confused +12.1% − Fresno, United States strong +21.7% − Guarapuava, Brazil strong +18.9% − Kofu, Japan confused +20.9% − Ulsan, Korea, South confused +24.5% − Caruaru, Brazil strong +18.6% − Tegal, Indonesia confused +4.6% − Arad, Romania strong +11.8% − Ubon Ratchathani, Thailand confused +23.5% − Sikar, India confused +24.6% − Huntington Beach, United States strong +23.2% − Mulhouse, France happy +21.4% − Botou, China strong +24.2% − Hamilton, Canada confused +21.0% − Tacoma, United States confused +20.3% − Malabon, Philippines happy +23.0% − Várzea Grande, Brazil strong +21.5% − Mbeya, Tanzania confused +22.8% − Monywa, Myanmar confused +22.1% − Ulan-Ude, Russia confused +2.6% − Pocos de Caldas, Brazil strong +24.0% − ST. GEORGES, Grenada strong +19.2% − Pinar del Río, Cuba confused +18.6% − Shaoyang, China weak +21.8% − Yao, Japan strong +22.0% − Laval, Canada strong +10.7% − Oberhausen, Germany weak +19.1% − Amiens, France confused +22.5% − LA HABANA, Cuba strong +18.2% − Anyang, China confused +1.0% − Cardiff, United Kingdom strong +16.1% − The Wrekin, United Kingdom happy +23.6% − Abeokuta, Nigeria happy +19.5% − Loudi, China weak +17.8% − Thai Nguyen, Vietnam sad +18.1% − Maiduguri, Nigeria confused +21.6% − Kure, Japan happy +17.9% − Waverley, United Kingdom weak +24.4% − Engels, Russia strong +21.7% − Erlangen, Germany confused +22.9% − Pinar del Río, Cuba confused +18.6% − Silay, Philippines happy +19.9% − Paraná, Argentina strong +12.3% − La Spezia, Italy confused +22.0% − Yavatmal, India guilty +24.6% − Yokkaichi, Japan strong +19.6% − Tanga, Tanzania confused +20.3% − Vallejo, United States confused +21.9% − Jamalpur, Bangladesh confused +17.7% − Dunfermline, United Kingdom confused +6.9% − Warren, United States strong +22.1% − Cangzhou, China confused +17.7% − Zonguldak, Turkey strong +22.9% − Nizhnekamsk, Russia confused +21.0% − Diyarbakir, Turkey strong +22.7% − Smolensk, Russia happy +17.6% −
Chicago, United States strong -18.5% − Chiba, Japan strong -24.8% − Adana, Turkey confused -23.4% − Magdeburg, Germany strong -23.7% − Kochi, India strong -24.8% − Tanjung Balai, Indonesia weak -4.9% − Peshawar, Pakistan strong -24.4% − Sukabumi, Indonesia happy -9.2% − Bareilly, India confused -23.5% − Irving, United States strong -20.4% − Queimados, Brazil strong -20.4% − Batangas, Philippines strong -22.8% − Richmond, United States confused -21.8% − Palakkad, India strong -17.6% − San Pablo, Philippines strong -18.3% − Muntinlupa, Philippines strong -19.8% − Luohe, China happy -22.9% − Mojokerto, Indonesia strong -13.8% − Iseyin, Nigeria happy -22.8% − Cochabamba, Bolivia strong -23.2% − Halifax, Canada strong -19.1% − Curitiba, Brazil strong -24.8% − Sefton, United Kingdom strong -5.2% − Toluca, Mexico confused -22.6% − Braila, Romania strong -17.5% − Aguascalientes, Mexico strong -17.6% − Durango, Mexico strong -25.0% − Crewe & Nantwich, United Kingdom strong -17.6% − Dourados, Brazil strong -1.2% − Serra, Brazil strong -5.4% − NOUMEA, New Caledonia strong -18.8% − Fukuyama, Japan strong -22.7% − MONROVIA, Liberia happy -23.4% − Floridablanca, Colombia strong -22.9% − Sapucaia, Brazil strong -18.8% − Anand, India strong -3.1% − Ingolstadt, Germany strong -14.9% − Teignbridge, United Kingdom confused -20.2% − Kitchener, Canada strong -15.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Richmond, United States confused -21.8% − Amagasaki, Japan happy -24.2% − Manchester, United Kingdom strong -9.2% − South Cambridgeshire, United Kingdom strong -17.7% − Kisumu, Kenya confused -19.7% − Alexandria, United States strong -11.9% − Geelong, Australia confused -2.1% − Nhatrang, Vietnam happy -22.9% − Birmingham, United States confused -22.6% − Zaria, Nigeria confused -18.6% − Hampton, United States strong -12.1% − Brescia, Italy strong -18.6% − San Jose, United States confused -24.0% − Kawachinagano, Japan happy -22.9% − Rouen, France strong -6.3% − Jersey City, United States strong -23.2% − Kotte, Sri Lanka confused -1.5% − LISBON, Portugal strong -7.5% − Jiamusi, China strong -18.6% − Leipzig, Germany strong -21.8% − Gujrat, Pakistan strong -22.0% − Valencia, Venezuela confused -8.0% − Yingcheng, China happy -22.9% − Petrópolis, Brazil strong -18.6% − Darlington, United Kingdom strong -24.3% − Quezon City, Philippines strong -4.0% − Jinan, China strong -8.9% − Bridgeport, United States strong -18.9% − Gent, Belgium strong -4.2% − Sergiev Posad, Russia happy -17.8% − Chimbote, Peru strong -22.8% − Tampa, United States confused -19.1% −
=
Artux, China happy − Shaown, China happy − Ferraz de Vasconcelos, Brazil happy − Dlepmealow, South Africa happy − Salamanca, Mexico strong − Taiyan, China happy − Sao Joao de Meriti, Brazil happy − Pinxiang, China happy − Xuchang, China happy − Evpatoriya, Ukraine happy − Dayuan, China happy − Mudangiang, China happy − Korla, China strong − Shuangyashan, China happy − Novocherkassk, Russia happy − Moji-Guaçu, Brazil happy − Rubtsovsk, Russia happy − Syktivkar, Russia happy − Nandyal, India happy − Bihar Sharif, India happy − Huaiyin, China happy − Kiselevsk, Russia happy − Colimas, Mexico happy − Guikong, China happy − Sialkote, Pakistan happy − Soyapango, El Salvador happy − Taldikorgan, Kazakstan happy − Sidi-bel-Abbès, Algeria happy − Juazeiro do Norte, Brazil happy − Jinin, China happy − Xiaocan, China happy − Al-Rakka, Syrian Arab Republic happy − Reggio di Calabria, Italy happy − Holon, Israel confused − Chinhae, Korea, South happy − Angren, Uzbekistan confused − Lipetsk, Russia strong − Durg, India weak − Kashihara, Japan happy − Alagoinhas, Brazil strong − Khouribga, Morocco sad − Pórto Velho, Brazil happy − Sirjan, Iran happy − Deir El-Zor, Syrian Arab Republic happy − Guangshui, China happy − Yuncheng, China weak − Nasariya, Iraq happy − Kanhangad, India happy − Shanwei, China confused − Meizhou, China strong − Debrezit, Ethiopia happy − Basingstoke & Deane, United Kingdom happy − Niiza, Japan happy − Calithèa, Greece happy − San Fernando de Apure, Venezuela strong − Sao José do Rio Prêto, Brazil happy − Chongli, China weak − Changweon, Korea, South happy − Kurume, Japan guilty − Taian, China confused − Jastrzebie - Zdrój, Poland confused − Kadhimain, Iraq 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