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
Laval, Canada strong +10.7% − Daxian, China sad +23.8% − Anjo, Japan strong +2.2% − Phoenix, United States strong +11.7% − Oberhausen, Germany weak +19.1% − Unnao, India weak +18.8% − Engels, Russia strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − ROAD TOWN, British Virgin Islands confused +22.0% − Jhang, Pakistan strong +23.9% − Kofu, Japan confused +20.9% − North York, Canada strong +20.2% − Smolensk, Russia happy +17.6% − Vallejo, United States confused +21.9% − Gurgaon, India strong +14.2% − Nizhnekamsk, Russia confused +21.0% − Lapu-Lapu, Philippines strong +24.6% − Abeokuta, Nigeria happy +19.5% − Tegal, Indonesia confused +4.6% − Maiduguri, Nigeria confused +21.6% − Tameside, United Kingdom confused +19.1% − Susano, Brazil strong +1.7% − Waitakere, New Zealand confused +23.5% − Remscheid, Germany strong +19.6% − Zonguldak, Turkey strong +22.9% − Piracicaba, Brazil strong +20.7% − The Wrekin, United Kingdom happy +23.6% − Mönchengladbach, Germany happy +14.7% − San Sebastián, Spain confused +24.0% − Botou, China strong +24.2% − Giza, Egypt confused +23.8% − Xichang, China confused +20.3% − Chillán, Chile strong +21.7% − Medellín, Colombia strong +21.8% − BRIDGETOWN, Barbados confused +23.8% − Lisburn, United Kingdom strong +19.9% − Shaoyang, China weak +21.8% − Fresno, United States strong +21.7% − Gaya, India strong +23.6% − Ndola, Zambia happy +17.9% − Thai Nguyen, Vietnam sad +18.1% − Vallejo, United States confused +21.9% − San Cristóbal, Venezuela weak +18.5% − Dunfermline, United Kingdom confused +6.9% − Rangpur, Bangladesh happy +24.3% − Huntington Beach, United States strong +23.2% − Pocos de Caldas, Brazil strong +24.0% − Pohang, Korea, South confused +21.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Amiens, France confused +22.5% − Xichang, China confused +20.3% − Jamalpur, Bangladesh confused +17.7% − Fukuoka, Japan weak +13.4% − Kure, Japan happy +17.9% − Diyarbakir, Turkey strong +22.7% − Pinar del Río, Cuba confused +18.6% − Gurgaon, India strong +14.2% − Arad, Romania strong +11.8% − Abeokuta, Nigeria happy +19.5% − Tarragona, Spain strong +21.8% − The Wrekin, United Kingdom happy +23.6% − Ubon Ratchathani, Thailand confused +23.5% − Yokkaichi, Japan strong +19.6% − TIRANA, Albania sad +18.7% − Burgos, Spain strong +19.8% − Anyang, China confused +1.0% − Pegu, Myanmar confused +24.1% − Baranovichi, Belarus strong +18.5% − Cardiff, United Kingdom strong +16.1% − Loudi, China weak +17.8% − Tanga, Tanzania confused +20.3% − Waverley, United Kingdom weak +24.4% − Tyumen, Russia strong +7.1% − Mulhouse, France happy +21.4% − Remscheid, Germany strong +19.6% − Oberhausen, Germany weak +19.1% − Várzea Grande, Brazil strong +21.5% − Tacoma, United States confused +20.3% − Monywa, Myanmar confused +22.1% − Raniganj, India confused +23.2% − Ichikawa, Japan strong +4.5% − Caruaru, Brazil strong +18.6% − Warren, United States strong +22.1% − ST. GEORGES, Grenada strong +19.2% − Paraná, Argentina strong +12.3% − Vadakara, India sad +6.6% − Chungju, Korea, South sad +4.6% − BISHKEK, Kyrgyzstan weak +8.9% − Erlangen, Germany confused +22.9% − Beaumont, United States confused +12.1% − Jhang, Pakistan strong +23.9% − Botou, China strong +24.2% − Erbil, Iraq strong +20.1% − Zonguldak, Turkey strong +22.9% − Regensburg, Germany strong +16.0% − La Spezia, Italy confused +22.0% − Cangzhou, China confused +17.7% − Grodno, Belarus sad +19.8% − Sikar, India confused +24.6% − Ulsan, Korea, South confused +24.5% − Bobo Dioulasso, Burkina Faso angry +20.4% −
Kitchener, Canada strong -15.2% − Yingcheng, China happy -22.9% − Rouen, France strong -6.3% − MONROVIA, Liberia happy -23.4% − Bareilly, India confused -23.5% − Irving, United States strong -20.4% − Leipzig, Germany strong -21.8% − Richmond, United States confused -21.8% − Dourados, Brazil strong -1.2% − Mojokerto, Indonesia strong -13.8% − Cochabamba, Bolivia strong -23.2% − Fukuyama, Japan strong -22.7% − Hampton, United States strong -12.1% − Muntinlupa, Philippines strong -19.8% − Durango, Mexico strong -25.0% − Bridgeport, United States strong -18.9% − Floridablanca, Colombia strong -22.9% − Batangas, Philippines strong -22.8% − Magdeburg, Germany strong -23.7% − Quezon City, Philippines strong -4.0% − Kawachinagano, Japan happy -22.9% − Chiba, Japan strong -24.8% − Anand, India strong -3.1% − Nhatrang, Vietnam happy -22.9% − Peshawar, Pakistan strong -24.4% − Palakkad, India strong -17.6% − LISBON, Portugal strong -7.5% − Adana, Turkey confused -23.4% − San Jose, United States confused -24.0% − Kisumu, Kenya confused -19.7% − Tampa, United States confused -19.1% − Queimados, Brazil strong -20.4% − Alexandria, United States strong -11.9% − Valencia, Venezuela confused -8.0% − Sergiev Posad, Russia happy -17.8% − South Cambridgeshire, United Kingdom strong -17.7% − Braila, Romania strong -17.5% − Jiamusi, China strong -18.6% − Curitiba, Brazil strong -24.8% − Gujrat, Pakistan strong -22.0% − NOUMEA, New Caledonia strong -18.8% − Manchester, United Kingdom strong -9.2% − Sapucaia, Brazil strong -18.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Iseyin, Nigeria happy -22.8% − Amagasaki, Japan happy -24.2% − Sukabumi, Indonesia happy -9.2% − Toluca, Mexico confused -22.6% − Geelong, Australia confused -2.1% − Kotte, Sri Lanka confused -1.5% − Gent, Belgium strong -4.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Zaria, Nigeria confused -18.6% − Sefton, United Kingdom strong -5.2% − Richmond, United States confused -21.8% − Ingolstadt, Germany strong -14.9% − Teignbridge, United Kingdom confused -20.2% − Birmingham, United States confused -22.6% − Tanjung Balai, Indonesia weak -4.9% − Chicago, United States strong -18.5% − Serra, Brazil strong -5.4% − Kochi, India strong -24.8% − Petrópolis, Brazil strong -18.6% − Jinan, China strong -8.9% − Chimbote, Peru strong -22.8% − Halifax, Canada strong -19.1% − Brescia, Italy strong -18.6% − Darlington, United Kingdom strong -24.3% − San Pablo, Philippines strong -18.3% − Luohe, China happy -22.9% − Jersey City, United States strong -23.2% − Aguascalientes, Mexico strong -17.6% −
=
Jastrzebie - Zdrój, Poland confused − Dayuan, China happy − Deir El-Zor, Syrian Arab Republic happy − Durg, India weak − Shanwei, China confused − Sirjan, Iran happy − Novocherkassk, Russia happy − Xiaocan, China happy − Colimas, Mexico happy − Chinhae, Korea, South happy − Evpatoriya, Ukraine happy − Pinxiang, China happy − Changweon, Korea, South happy − Kurume, Japan guilty − Chongli, China weak − Sao Joao de Meriti, Brazil happy − Angren, Uzbekistan confused − Artux, China happy − Meizhou, China strong − Kashihara, Japan happy − Basingstoke & Deane, United Kingdom happy − Al-Rakka, Syrian Arab Republic happy − Huaiyin, China happy − Taian, China confused − Soyapango, El Salvador happy − Jinin, China happy − Xuchang, China happy − Mudangiang, China happy − Kanhangad, India happy − Shuangyashan, China happy − Guikong, China happy − Sidi-bel-Abbès, Algeria happy − Moji-Guaçu, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Rubtsovsk, Russia happy − Salamanca, Mexico strong − Taiyan, China happy − Lipetsk, Russia strong − Bihar Sharif, India happy − Nandyal, India happy − Guangshui, China happy − Juazeiro do Norte, Brazil happy − Calithèa, Greece happy − Dlepmealow, South Africa happy − Debrezit, Ethiopia happy − Pórto Velho, Brazil happy − Nasariya, Iraq happy − Korla, China strong − Syktivkar, Russia happy − San Fernando de Apure, Venezuela strong − Taldikorgan, Kazakstan happy − Holon, Israel confused − Shaown, China happy − Kiselevsk, Russia happy − Yuncheng, China weak − Reggio di Calabria, Italy happy − Khouribga, Morocco sad − Kadhimain, Iraq happy − Alagoinhas, Brazil strong − Niiza, Japan happy − Sialkote, Pakistan happy − Sao José do Rio Prêto, 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