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
BRIDGETOWN, Barbados confused +23.8% − Remscheid, Germany strong +19.6% − Tacoma, United States confused +20.3% − Vadakara, India sad +6.6% − Shaoyang, China weak +21.8% − Maiduguri, Nigeria confused +21.6% − Pegu, Myanmar confused +24.1% − Kure, Japan happy +17.9% − Engels, Russia strong +21.7% − Cangzhou, China confused +17.7% − Tyumen, Russia strong +7.1% − Thai Nguyen, Vietnam sad +18.1% − Fresno, United States strong +21.7% − Beaumont, United States confused +12.1% − Chungju, Korea, South sad +4.6% − Jhang, Pakistan strong +23.9% − Hamilton, Canada confused +21.0% − Loudi, China weak +17.8% − Tangshan, China weak +22.3% − Chillán, Chile strong +21.7% − Anyang, China confused +1.0% − Oberhausen, Germany weak +19.1% − Ubon Ratchathani, Thailand confused +23.5% − Regensburg, Germany strong +16.0% − Boksburg, South Africa confused +18.1% − Guilin, China strong +3.0% − Springfield, United States confused +5.1% − Mönchengladbach, Germany happy +14.7% − Huntington Beach, United States strong +23.2% − Rangpur, Bangladesh happy +24.3% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − North York, Canada strong +20.2% − Ndola, Zambia happy +17.9% − Jamalpur, Bangladesh confused +17.7% − Xichang, China confused +20.3% − San Sebastián, Spain confused +24.0% − Tameside, United Kingdom confused +19.1% − Gurgaon, India strong +14.2% − BASSE-TERRE, Guadeloupe strong +24.8% − Laval, Canada strong +10.7% − TIRANA, Albania sad +18.7% − Pinar del Río, Cuba confused +18.6% − Caruaru, Brazil strong +18.6% − Paraná, Argentina strong +12.3% − Warren, United States strong +22.1% − Mbeya, Tanzania confused +22.8% − Ubon Ratchathani, Thailand confused +23.5% − Piracicaba, Brazil strong +20.7% − Medellín, Colombia strong +21.8% − Burgos, Spain strong +19.8% − Gaya, India strong +23.6% − Ambala, India happy +21.8% − Yao, Japan strong +22.0% − Chungju, Korea, South sad +4.6% − Surakarta, Indonesia strong +20.9% − Yokkaichi, Japan strong +19.6% − Dunfermline, United Kingdom confused +6.9% − Engels, Russia strong +21.7% − Silay, Philippines happy +19.9% − Anjo, Japan strong +2.2% − Zonguldak, Turkey strong +22.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Zonguldak, Turkey strong +22.9% − Kharagpur, India strong +17.6% − Oberhausen, Germany weak +19.1% − Grodno, Belarus sad +19.8% − Giza, Egypt confused +23.8% − Waverley, United Kingdom weak +24.4% − Yavatmal, India guilty +24.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Várzea Grande, Brazil strong +21.5% − Waitakere, New Zealand confused +23.5% − East Hampshire, United Kingdom confused +19.0% − San Cristóbal, Venezuela weak +18.5% − Eastleigh, United Kingdom happy +19.0% − La Spezia, Italy confused +22.0% − Baranovichi, Belarus strong +18.5% − LA HABANA, Cuba strong +18.2% − Vallejo, United States confused +21.9% − Daxian, China sad +23.8% − Tanga, Tanzania confused +20.3% − Chon Buri, Thailand strong +23.4% − Jhang, Pakistan strong +23.9% − Xichang, China confused +20.3% − Susano, Brazil strong +1.7% − The Wrekin, United Kingdom happy +23.6% − Abeokuta, Nigeria happy +19.5% − Tarragona, Spain strong +21.8% − Kofu, Japan confused +20.9% − Raniganj, India confused +23.2% − Tegal, Indonesia confused +4.6% − Sikar, India confused +24.6% − Vallejo, United States confused +21.9% − Pohang, Korea, South confused +21.8% − Erlangen, Germany confused +22.9% − Pinar del Río, Cuba confused +18.6% − Lisburn, United Kingdom strong +19.9% − Hachinohe, Japan strong +21.2% − Nizhnekamsk, Russia confused +21.0% − Botou, China strong +24.2% − Unnao, India weak +18.8% −
Fukuyama, Japan strong -22.7% − Kitchener, Canada strong -15.2% − Jiamusi, China strong -18.6% − NOUMEA, New Caledonia strong -18.8% − Gent, Belgium strong -4.2% − Brescia, Italy strong -18.6% − Chicago, United States strong -18.5% − Kotte, Sri Lanka confused -1.5% − Crewe & Nantwich, United Kingdom strong -17.6% − MONROVIA, Liberia happy -23.4% − Magdeburg, Germany strong -23.7% − Kochi, India strong -24.8% − Jersey City, United States strong -23.2% − Adana, Turkey confused -23.4% − Palakkad, India strong -17.6% − Teignbridge, United Kingdom confused -20.2% − Cochabamba, Bolivia strong -23.2% − Luohe, China happy -22.9% − Chimbote, Peru strong -22.8% − Amagasaki, Japan happy -24.2% − Valencia, Venezuela confused -8.0% − Zaria, Nigeria confused -18.6% − Floridablanca, Colombia strong -22.9% − Toluca, Mexico confused -22.6% − Peshawar, Pakistan strong -24.4% − Bareilly, India confused -23.5% − Chiba, Japan strong -24.8% − Yingcheng, China happy -22.9% − Hampton, United States strong -12.1% − Leipzig, Germany strong -21.8% − San Pablo, Philippines strong -18.3% − Halifax, Canada strong -19.1% − Irving, United States strong -20.4% − Sapucaia, Brazil strong -18.8% − Anand, India strong -3.1% − Sefton, United Kingdom strong -5.2% − Mojokerto, Indonesia strong -13.8% − Tampa, United States confused -19.1% − San Jose, United States confused -24.0% − Iseyin, Nigeria happy -22.8% − South Cambridgeshire, United Kingdom strong -17.7% − Braila, Romania strong -17.5% − Kawachinagano, Japan happy -22.9% − Quezon City, Philippines strong -4.0% − Tanjung Balai, Indonesia weak -4.9% − Kisumu, Kenya confused -19.7% − Rouen, France strong -6.3% − LISBON, Portugal strong -7.5% − Durango, Mexico strong -25.0% − Alexandria, United States strong -11.9% − Sukabumi, Indonesia happy -9.2% − Curitiba, Brazil strong -24.8% − Richmond, United States confused -21.8% − Gujrat, Pakistan strong -22.0% − Petrópolis, Brazil strong -18.6% − Jinan, China strong -8.9% − Bridgeport, United States strong -18.9% − Batangas, Philippines strong -22.8% − Darlington, United Kingdom strong -24.3% − Serra, Brazil strong -5.4% − Queimados, Brazil strong -20.4% − Nhatrang, Vietnam happy -22.9% − Dourados, Brazil strong -1.2% − Ingolstadt, Germany strong -14.9% − Sergiev Posad, Russia happy -17.8% − Birmingham, United States confused -22.6% − Geelong, Australia confused -2.1% − Manchester, United Kingdom strong -9.2% − Richmond, United States confused -21.8% − Muntinlupa, Philippines strong -19.8% − Aguascalientes, Mexico strong -17.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% −
=
Xuchang, China happy − Korla, China strong − Sao José do Rio Prêto, Brazil happy − Taldikorgan, Kazakstan happy − Novocherkassk, Russia happy − Changweon, Korea, South happy − Chongli, China weak − Basingstoke & Deane, United Kingdom happy − Calithèa, Greece happy − Moji-Guaçu, Brazil happy − Holon, Israel confused − Durg, India weak − Kadhimain, Iraq happy − Khouribga, Morocco sad − Nandyal, India happy − Pórto Velho, Brazil happy − Shuangyashan, China happy − Bihar Sharif, India happy − Sirjan, Iran happy − Lipetsk, Russia strong − Guangshui, China happy − Jinin, China happy − Artux, China happy − Pinxiang, China happy − Sidi-bel-Abbès, Algeria happy − Chinhae, Korea, South happy − Shanwei, China confused − Deir El-Zor, Syrian Arab Republic happy − Al-Rakka, Syrian Arab Republic happy − Kiselevsk, Russia happy − Juazeiro do Norte, Brazil happy − Reggio di Calabria, Italy happy − Angren, Uzbekistan confused − Shaown, China happy − Kashihara, Japan happy − Huaiyin, China happy − Xiaocan, China happy − Mudangiang, China happy − Guikong, China happy − Debrezit, Ethiopia happy − Jastrzebie - Zdrój, Poland confused − Syktivkar, Russia happy − Dayuan, China happy − Nasariya, Iraq happy − Kurume, Japan guilty − Alagoinhas, Brazil strong − Yuncheng, China weak − Rubtsovsk, Russia happy − Evpatoriya, Ukraine happy − Taiyan, China happy − Kanhangad, India happy − Meizhou, China strong − Salamanca, Mexico strong − Dlepmealow, South Africa happy − Taian, China confused − Soyapango, El Salvador happy − Sao Joao de Meriti, Brazil happy − Niiza, Japan happy − Ferraz de Vasconcelos, Brazil happy − Colimas, Mexico happy − San Fernando de Apure, Venezuela strong − Sialkote, Pakistan 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