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
Caruaru, Brazil strong +18.6% − Loudi, China weak +17.8% − Dunfermline, United Kingdom confused +6.9% − Várzea Grande, Brazil strong +21.5% − San Sebastián, Spain confused +24.0% − Cangzhou, China confused +17.7% − Malabon, Philippines happy +23.0% − Ubon Ratchathani, Thailand confused +23.5% − San Cristóbal, Venezuela weak +18.5% − Raniganj, India confused +23.2% − Chillán, Chile strong +21.7% − BRIDGETOWN, Barbados confused +23.8% − Abeokuta, Nigeria happy +19.5% − Ulan-Ude, Russia confused +2.6% − Amiens, France confused +22.5% − Chungju, Korea, South sad +4.6% − Grodno, Belarus sad +19.8% − Oberhausen, Germany weak +19.1% − BISHKEK, Kyrgyzstan weak +8.9% − Gaya, India strong +23.6% − Sedgemoor, United Kingdom strong +19.3% − Springfield, United States confused +5.1% − Warren, United States strong +22.1% − Pohang, Korea, South confused +21.8% − Vallejo, United States confused +21.9% − BASSE-TERRE, Guadeloupe strong +24.8% − Waitakere, New Zealand confused +23.5% − The Wrekin, United Kingdom happy +23.6% − Jhang, Pakistan strong +23.9% − Yao, Japan strong +22.0% − Ambala, India happy +21.8% − Lapu-Lapu, Philippines strong +24.6% − Pinar del Río, Cuba confused +18.6% − Jhang, Pakistan strong +23.9% − Pinar del Río, Cuba confused +18.6% − Jamalpur, Bangladesh confused +17.7% − Vallejo, United States confused +21.9% − Unnao, India weak +18.8% − PANAMA, Panama strong +3.1% − Smolensk, Russia happy +17.6% − Kofu, Japan confused +20.9% − Lisburn, United Kingdom strong +19.9% − Tacoma, United States confused +20.3% − Chon Buri, Thailand strong +23.4% − Cardiff, United Kingdom strong +16.1% − Pocos de Caldas, Brazil strong +24.0% − Ndola, Zambia happy +17.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Mönchengladbach, Germany happy +14.7% − Kharagpur, India strong +17.6% − Regensburg, Germany strong +16.0% − Medellín, Colombia strong +21.8% − Botou, China strong +24.2% − Waverley, United Kingdom weak +24.4% − Yokkaichi, Japan strong +19.6% − Yavatmal, India guilty +24.6% − Tangshan, China weak +22.3% − North York, Canada strong +20.2% − Monywa, Myanmar confused +22.1% − Engels, Russia strong +21.7% − Anyang, China confused +1.0% − Remscheid, Germany strong +19.6% − Botou, China strong +24.2% − Boksburg, South Africa confused +18.1% − Anjo, Japan strong +2.2% − Eastleigh, United Kingdom happy +19.0% − Arad, Romania strong +11.8% − Pegu, Myanmar confused +24.1% − Engels, Russia strong +21.7% − Maiduguri, Nigeria confused +21.6% − Huntington Beach, United States strong +23.2% − Chungju, Korea, South sad +4.6% − East Hampshire, United Kingdom confused +19.0% − Zonguldak, Turkey strong +22.9% − Rangpur, Bangladesh happy +24.3% − Giza, Egypt confused +23.8% − Ulsan, Korea, South confused +24.5% − Remscheid, Germany strong +19.6% − Guarapuava, Brazil strong +18.9% − Susano, Brazil strong +1.7% − Gurgaon, India strong +14.2% − Daxian, China sad +23.8% − Abeokuta, Nigeria happy +19.5% − Tacoma, United States confused +20.3% − La Spezia, Italy confused +22.0% − Gurgaon, India strong +14.2% − Tegal, Indonesia confused +4.6% − Tameside, United Kingdom confused +19.1% − Ubon Ratchathani, Thailand confused +23.5% − Diyarbakir, Turkey strong +22.7% − Erbil, Iraq strong +20.1% − Vadakara, India sad +6.6% − Oberhausen, Germany weak +19.1% − TIRANA, Albania sad +18.7% − Fresno, United States strong +21.7% − Guilin, China strong +3.0% − Xichang, China confused +20.3% − Laval, Canada strong +10.7% − Hachinohe, Japan strong +21.2% − Ichikawa, Japan strong +4.5% − Thai Nguyen, Vietnam sad +18.1% −
Gent, Belgium strong -4.2% − Kitchener, Canada strong -15.2% − San Pablo, Philippines strong -18.3% − Richmond, United States confused -21.8% − Brescia, Italy strong -18.6% − South Cambridgeshire, United Kingdom strong -17.7% − Rouen, France strong -6.3% − Ingolstadt, Germany strong -14.9% − Sefton, United Kingdom strong -5.2% − Iseyin, Nigeria happy -22.8% − San Jose, United States confused -24.0% − Irving, United States strong -20.4% − Durango, Mexico strong -25.0% − Tanjung Balai, Indonesia weak -4.9% − Toluca, Mexico confused -22.6% − Mojokerto, Indonesia strong -13.8% − Adana, Turkey confused -23.4% − Teignbridge, United Kingdom confused -20.2% − Zaria, Nigeria confused -18.6% − Kisumu, Kenya confused -19.7% − Kawachinagano, Japan happy -22.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Peshawar, Pakistan strong -24.4% − Sapucaia, Brazil strong -18.8% − Anand, India strong -3.1% − Dourados, Brazil strong -1.2% − Birmingham, United States confused -22.6% − Batangas, Philippines strong -22.8% − MONROVIA, Liberia happy -23.4% − Aguascalientes, Mexico strong -17.6% − Jiamusi, China strong -18.6% − Braila, Romania strong -17.5% − Quezon City, Philippines strong -4.0% − Geelong, Australia confused -2.1% − Darlington, United Kingdom strong -24.3% − Chimbote, Peru strong -22.8% − Tampa, United States confused -19.1% − Sergiev Posad, Russia happy -17.8% − Curitiba, Brazil strong -24.8% − Manchester, United Kingdom strong -9.2% − Cochabamba, Bolivia strong -23.2% − Jersey City, United States strong -23.2% − NOUMEA, New Caledonia strong -18.8% − Kotte, Sri Lanka confused -1.5% − Chicago, United States strong -18.5% − LISBON, Portugal strong -7.5% − Gujrat, Pakistan strong -22.0% − Valencia, Venezuela confused -8.0% − Bridgeport, United States strong -18.9% − Magdeburg, Germany strong -23.7% − Alexandria, United States strong -11.9% − Yingcheng, China happy -22.9% − Jinan, China strong -8.9% − Richmond, United States confused -21.8% − Leipzig, Germany strong -21.8% − Bareilly, India confused -23.5% − Nhatrang, Vietnam happy -22.9% − Muntinlupa, Philippines strong -19.8% − Queimados, Brazil strong -20.4% − Kochi, India strong -24.8% − Hampton, United States strong -12.1% − Petrópolis, Brazil strong -18.6% − Halifax, Canada strong -19.1% − Luohe, China happy -22.9% − Fukuyama, Japan strong -22.7% − Crewe & Nantwich, United Kingdom strong -17.6% − Sukabumi, Indonesia happy -9.2% − Chiba, Japan strong -24.8% − Serra, Brazil strong -5.4% − Floridablanca, Colombia strong -22.9% − Palakkad, India strong -17.6% − Amagasaki, Japan happy -24.2% −
=
Shaown, China happy − Kiselevsk, Russia happy − Juazeiro do Norte, Brazil happy − Deir El-Zor, Syrian Arab Republic happy − Taian, China confused − Yuncheng, China weak − Bihar Sharif, India happy − Xiaocan, China happy − Huaiyin, China happy − Guangshui, China happy − Sirjan, Iran happy − Holon, Israel confused − Chinhae, Korea, South happy − Xuchang, China happy − Moji-Guaçu, Brazil happy − Taldikorgan, Kazakstan happy − Jinin, China happy − Kurume, Japan guilty − Rubtsovsk, Russia happy − Sidi-bel-Abbès, Algeria happy − Guikong, China happy − Sao Joao de Meriti, Brazil happy − Novocherkassk, Russia happy − Durg, India weak − Jastrzebie - Zdrój, Poland confused − Shanwei, China confused − Mudangiang, China happy − Kadhimain, Iraq happy − Changweon, Korea, South happy − Calithèa, Greece happy − Salamanca, Mexico strong − Evpatoriya, Ukraine happy − Niiza, Japan happy − Al-Rakka, Syrian Arab Republic happy − Meizhou, China strong − Korla, China strong − Alagoinhas, Brazil strong − Dlepmealow, South Africa happy − Colimas, Mexico happy − Shuangyashan, China happy − Kashihara, Japan happy − Khouribga, Morocco sad − Pinxiang, China happy − Basingstoke & Deane, United Kingdom happy − Ferraz de Vasconcelos, Brazil happy − Sao José do Rio Prêto, Brazil happy − Angren, Uzbekistan confused − Nandyal, India happy − Dayuan, China happy − Nasariya, Iraq happy − Sialkote, Pakistan happy − Reggio di Calabria, Italy happy − Soyapango, El Salvador happy − Taiyan, China happy − Chongli, China weak − San Fernando de Apure, Venezuela strong − Lipetsk, Russia strong − Artux, China happy − Syktivkar, Russia happy − Pórto Velho, Brazil happy − Kanhangad, India happy − Debrezit, Ethiopia 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