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 Sebastián, Spain confused +24.0% − Botou, China strong +24.2% − Regensburg, Germany strong +16.0% − Malabon, Philippines happy +23.0% − Daxian, China sad +23.8% − Remscheid, Germany strong +19.6% − Pohang, Korea, South confused +21.8% − Tacoma, United States confused +20.3% − Tegal, Indonesia confused +4.6% − San Cristóbal, Venezuela weak +18.5% − Sedgemoor, United Kingdom strong +19.3% − Oberhausen, Germany weak +19.1% − Erlangen, Germany confused +22.9% − Silay, Philippines happy +19.9% − Dunfermline, United Kingdom confused +6.9% − Mulhouse, France happy +21.4% − Ichikawa, Japan strong +4.5% − Unnao, India weak +18.8% − Cangzhou, China confused +17.7% − East Hampshire, United Kingdom confused +19.0% − Engels, Russia strong +21.7% − Gurgaon, India strong +14.2% − Botou, China strong +24.2% − Tameside, United Kingdom confused +19.1% − Arad, Romania strong +11.8% − Cardiff, United Kingdom strong +16.1% − Guilin, China strong +3.0% − Chungju, Korea, South sad +4.6% − Pinar del Río, Cuba confused +18.6% − Yokkaichi, Japan strong +19.6% − Raniganj, India confused +23.2% − Vallejo, United States confused +21.9% − La Spezia, Italy confused +22.0% − Kure, Japan happy +17.9% − Waitakere, New Zealand confused +23.5% − Gurgaon, India strong +14.2% − Vadakara, India sad +6.6% − Hamilton, Canada confused +21.0% − Abeokuta, Nigeria happy +19.5% − Hachinohe, Japan strong +21.2% − Huntington Beach, United States strong +23.2% − Fukuoka, Japan weak +13.4% − Shaoyang, China weak +21.8% − BISHKEK, Kyrgyzstan weak +8.9% − The Wrekin, United Kingdom happy +23.6% − Yavatmal, India guilty +24.6% − Monywa, Myanmar confused +22.1% − Phoenix, United States strong +11.7% − Ambala, India happy +21.8% − Pinar del Río, Cuba confused +18.6% − PANAMA, Panama strong +3.1% − Tyumen, Russia strong +7.1% − ROAD TOWN, British Virgin Islands confused +22.0% − Mönchengladbach, Germany happy +14.7% − Abeokuta, Nigeria happy +19.5% − Erbil, Iraq strong +20.1% − Ulsan, Korea, South confused +24.5% − Remscheid, Germany strong +19.6% − Rangpur, Bangladesh happy +24.3% − Fresno, United States strong +21.7% − Ndola, Zambia happy +17.9% − Giza, Egypt confused +23.8% − Kofu, Japan confused +20.9% − Pegu, Myanmar confused +24.1% − Susano, Brazil strong +1.7% − LA HABANA, Cuba strong +18.2% − The Wrekin, United Kingdom happy +23.6% − Bobo Dioulasso, Burkina Faso angry +20.4% − Loudi, China weak +17.8% − Laval, Canada strong +10.7% − Yao, Japan strong +22.0% − Kharagpur, India strong +17.6% − Warren, United States strong +22.1% − Jequié, Brazil strong +5.6% − Várzea Grande, Brazil strong +21.5% − Tarragona, Spain strong +21.8% − Waverley, United Kingdom weak +24.4% − BASSE-TERRE, Guadeloupe strong +24.8% − Engels, Russia strong +21.7% − Springfield, United States confused +5.1% − Lisburn, United Kingdom strong +19.9% − Guarapuava, Brazil strong +18.9% − Zonguldak, Turkey strong +22.9% − Medellín, Colombia strong +21.8% − Surakarta, Indonesia strong +20.9% − Vallejo, United States confused +21.9% − Xichang, China confused +20.3% − Chungju, Korea, South sad +4.6% − Lapu-Lapu, Philippines strong +24.6% − Nizhnekamsk, Russia confused +21.0% − Sikar, India confused +24.6% − Boksburg, South Africa confused +18.1% − Jhang, Pakistan strong +23.9% − Pocos de Caldas, Brazil strong +24.0% − North York, Canada strong +20.2% − Amiens, France confused +22.5% − ST. GEORGES, Grenada strong +19.2% − Oberhausen, Germany weak +19.1% − Smolensk, Russia happy +17.6% − Tacoma, United States confused +20.3% − Beaumont, United States confused +12.1% −
Quezon City, Philippines strong -4.0% − Petrópolis, Brazil strong -18.6% − Brescia, Italy strong -18.6% − Dourados, Brazil strong -1.2% − South Cambridgeshire, United Kingdom strong -17.7% − Chimbote, Peru strong -22.8% − Adana, Turkey confused -23.4% − Irving, United States strong -20.4% − Sefton, United Kingdom strong -5.2% − Sergiev Posad, Russia happy -17.8% − Geelong, Australia confused -2.1% − NOUMEA, New Caledonia strong -18.8% − Richmond, United States confused -21.8% − Manchester, United Kingdom strong -9.2% − Amagasaki, Japan happy -24.2% − Kochi, India strong -24.8% − Muntinlupa, Philippines strong -19.8% − Rouen, France strong -6.3% − LISBON, Portugal strong -7.5% − Floridablanca, Colombia strong -22.9% − Darlington, United Kingdom strong -24.3% − Jersey City, United States strong -23.2% − Ingolstadt, Germany strong -14.9% − Durango, Mexico strong -25.0% − Zaria, Nigeria confused -18.6% − Alexandria, United States strong -11.9% − Batangas, Philippines strong -22.8% − Jiamusi, China strong -18.6% − Toluca, Mexico confused -22.6% − San Jose, United States confused -24.0% − Gujrat, Pakistan strong -22.0% − Bridgeport, United States strong -18.9% − Leipzig, Germany strong -21.8% − Halifax, Canada strong -19.1% − Magdeburg, Germany strong -23.7% − Curitiba, Brazil strong -24.8% − Braila, Romania strong -17.5% − Teignbridge, United Kingdom confused -20.2% − Sapucaia, Brazil strong -18.8% − Peshawar, Pakistan strong -24.4% − Cochabamba, Bolivia strong -23.2% − Kawachinagano, Japan happy -22.9% − Anand, India strong -3.1% − Kitchener, Canada strong -15.2% − Gent, Belgium strong -4.2% − Hampton, United States strong -12.1% − Jinan, China strong -8.9% − Fukuyama, Japan strong -22.7% − Chiba, Japan strong -24.8% − Iseyin, Nigeria happy -22.8% − Aguascalientes, Mexico strong -17.6% − Nhatrang, Vietnam happy -22.9% − Valencia, Venezuela confused -8.0% − Kotte, Sri Lanka confused -1.5% − San Pablo, Philippines strong -18.3% − Queimados, Brazil strong -20.4% − Luohe, China happy -22.9% − Yingcheng, China happy -22.9% − Tanjung Balai, Indonesia weak -4.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Mojokerto, Indonesia strong -13.8% − Serra, Brazil strong -5.4% − Sukabumi, Indonesia happy -9.2% − MONROVIA, Liberia happy -23.4% − Kisumu, Kenya confused -19.7% − Chicago, United States strong -18.5% − Bareilly, India confused -23.5% − Palakkad, India strong -17.6% − Birmingham, United States confused -22.6% − Tampa, United States confused -19.1% −
=
Xuchang, China happy − Sao José do Rio Prêto, Brazil happy − Korla, China strong − Chinhae, Korea, South happy − Syktivkar, Russia happy − Taiyan, China happy − Xiaocan, China happy − Reggio di Calabria, Italy happy − Sirjan, Iran happy − Kanhangad, India happy − Nandyal, India happy − Khouribga, Morocco sad − Guikong, China happy − Shaown, China happy − Kashihara, Japan happy − Yuncheng, China weak − Chongli, China weak − Calithèa, Greece happy − Guangshui, China happy − Pinxiang, China happy − Dlepmealow, South Africa happy − Soyapango, El Salvador happy − Jinin, China happy − Mudangiang, China happy − Kurume, Japan guilty − Changweon, Korea, South happy − Evpatoriya, Ukraine happy − San Fernando de Apure, Venezuela strong − Sao Joao de Meriti, Brazil happy − Rubtsovsk, Russia happy − Deir El-Zor, Syrian Arab Republic happy − Artux, China happy − Pórto Velho, Brazil happy − Shuangyashan, China happy − Taian, China confused − Juazeiro do Norte, Brazil happy − Sialkote, Pakistan happy − Niiza, Japan happy − Ferraz de Vasconcelos, Brazil happy − Debrezit, Ethiopia happy − Angren, Uzbekistan confused − Kadhimain, Iraq happy − Basingstoke & Deane, United Kingdom happy − Shanwei, China confused − Novocherkassk, Russia happy − Huaiyin, China happy − Durg, India weak − Bihar Sharif, India happy − Dayuan, China happy − Moji-Guaçu, Brazil happy − Nasariya, Iraq happy − Meizhou, China strong − Sidi-bel-Abbès, Algeria happy − Lipetsk, Russia strong − Salamanca, Mexico strong − Holon, Israel confused − Colimas, Mexico happy − Al-Rakka, Syrian Arab Republic happy − Taldikorgan, Kazakstan happy − Alagoinhas, Brazil strong − Kiselevsk, Russia happy − Jastrzebie - Zdrój, Poland confused
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