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
BISHKEK, Kyrgyzstan weak +8.9% − Dunfermline, United Kingdom confused +6.9% − Anyang, China confused +1.0% − North York, Canada strong +20.2% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − San Cristóbal, Venezuela weak +18.5% − Remscheid, Germany strong +19.6% − Amiens, France confused +22.5% − Abeokuta, Nigeria happy +19.5% − Baranovichi, Belarus strong +18.5% − Ambala, India happy +21.8% − Chungju, Korea, South sad +4.6% − The Wrekin, United Kingdom happy +23.6% − Xichang, China confused +20.3% − Vadakara, India sad +6.6% − Paraná, Argentina strong +12.3% − Boksburg, South Africa confused +18.1% − Erlangen, Germany confused +22.9% − The Wrekin, United Kingdom happy +23.6% − Unnao, India weak +18.8% − Abeokuta, Nigeria happy +19.5% − Giza, Egypt confused +23.8% − Oberhausen, Germany weak +19.1% − Yavatmal, India guilty +24.6% − Thai Nguyen, Vietnam sad +18.1% − Huntington Beach, United States strong +23.2% − Botou, China strong +24.2% − Warren, United States strong +22.1% − Tegal, Indonesia confused +4.6% − Remscheid, Germany strong +19.6% − Chon Buri, Thailand strong +23.4% − Maiduguri, Nigeria confused +21.6% − Tameside, United Kingdom confused +19.1% − Jhang, Pakistan strong +23.9% − Laval, Canada strong +10.7% − Silay, Philippines happy +19.9% − Zonguldak, Turkey strong +22.9% − Eastleigh, United Kingdom happy +19.0% − Arad, Romania strong +11.8% − Surakarta, Indonesia strong +20.9% − LA HABANA, Cuba strong +18.2% − Medellín, Colombia strong +21.8% − Cardiff, United Kingdom strong +16.1% − Gurgaon, India strong +14.2% − Guilin, China strong +3.0% − Anjo, Japan strong +2.2% − Oberhausen, Germany weak +19.1% − Mönchengladbach, Germany happy +14.7% − Vallejo, United States confused +21.9% − Kharagpur, India strong +17.6% − BRIDGETOWN, Barbados confused +23.8% − Gaya, India strong +23.6% − Tarragona, Spain strong +21.8% − Raniganj, India confused +23.2% − Chillán, Chile strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − Fukuoka, Japan weak +13.4% − Rangpur, Bangladesh happy +24.3% − PANAMA, Panama strong +3.1% − TIRANA, Albania sad +18.7% − East Hampshire, United Kingdom confused +19.0% − Daxian, China sad +23.8% − Jamalpur, Bangladesh confused +17.7% − Pohang, Korea, South confused +21.8% − Smolensk, Russia happy +17.6% − Monywa, Myanmar confused +22.1% − BASSE-TERRE, Guadeloupe strong +24.8% − Botou, China strong +24.2% − Shaoyang, China weak +21.8% − Waitakere, New Zealand confused +23.5% − Kofu, Japan confused +20.9% − Vallejo, United States confused +21.9% − Tyumen, Russia strong +7.1% − ST. GEORGES, Grenada strong +19.2% − Pegu, Myanmar confused +24.1% − Mbeya, Tanzania confused +22.8% − Piracicaba, Brazil strong +20.7% − Fresno, United States strong +21.7% − Loudi, China weak +17.8% − Sedgemoor, United Kingdom strong +19.3% − Bobo Dioulasso, Burkina Faso angry +20.4% − Mulhouse, France happy +21.4% − Várzea Grande, Brazil strong +21.5% − Erbil, Iraq strong +20.1% − Beaumont, United States confused +12.1% − ROAD TOWN, British Virgin Islands confused +22.0% − Ichikawa, Japan strong +4.5% − Waverley, United Kingdom weak +24.4% − Jhang, Pakistan strong +23.9% − Phoenix, United States strong +11.7% − Gurgaon, India strong +14.2% − Tanga, Tanzania confused +20.3% − Susano, Brazil strong +1.7% − Tangshan, China weak +22.3% − Pocos de Caldas, Brazil strong +24.0% − Engels, Russia strong +21.7% − Tacoma, United States confused +20.3% − Springfield, United States confused +5.1% − Ubon Ratchathani, Thailand confused +23.5% − Hamilton, Canada confused +21.0% − Ndola, Zambia happy +17.9% −
Tampa, United States confused -19.1% − Kitchener, Canada strong -15.2% − Irving, United States strong -20.4% − Curitiba, Brazil strong -24.8% − Gent, Belgium strong -4.2% − Richmond, United States confused -21.8% − Bareilly, India confused -23.5% − Anand, India strong -3.1% − San Pablo, Philippines strong -18.3% − Sefton, United Kingdom strong -5.2% − Batangas, Philippines strong -22.8% − Chiba, Japan strong -24.8% − Jersey City, United States strong -23.2% − San Jose, United States confused -24.0% − Durango, Mexico strong -25.0% − Palakkad, India strong -17.6% − Jinan, China strong -8.9% − Kotte, Sri Lanka confused -1.5% − Muntinlupa, Philippines strong -19.8% − Iseyin, Nigeria happy -22.8% − Valencia, Venezuela confused -8.0% − Magdeburg, Germany strong -23.7% − Amagasaki, Japan happy -24.2% − LISBON, Portugal strong -7.5% − Toluca, Mexico confused -22.6% − Fukuyama, Japan strong -22.7% − Ingolstadt, Germany strong -14.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Adana, Turkey confused -23.4% − Geelong, Australia confused -2.1% − Chimbote, Peru strong -22.8% − Tanjung Balai, Indonesia weak -4.9% − Queimados, Brazil strong -20.4% − Aguascalientes, Mexico strong -17.6% − Sapucaia, Brazil strong -18.8% − Halifax, Canada strong -19.1% − Yingcheng, China happy -22.9% − Bridgeport, United States strong -18.9% − Birmingham, United States confused -22.6% − Alexandria, United States strong -11.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Kawachinagano, Japan happy -22.9% − Gujrat, Pakistan strong -22.0% − Kochi, India strong -24.8% − NOUMEA, New Caledonia strong -18.8% − Richmond, United States confused -21.8% − Nhatrang, Vietnam happy -22.9% − Cochabamba, Bolivia strong -23.2% − Chicago, United States strong -18.5% − Floridablanca, Colombia strong -22.9% − Leipzig, Germany strong -21.8% − Sergiev Posad, Russia happy -17.8% − Brescia, Italy strong -18.6% − Hampton, United States strong -12.1% − Quezon City, Philippines strong -4.0% − Teignbridge, United Kingdom confused -20.2% − Petrópolis, Brazil strong -18.6% − Mojokerto, Indonesia strong -13.8% − Dourados, Brazil strong -1.2% − Serra, Brazil strong -5.4% − Jiamusi, China strong -18.6% − Braila, Romania strong -17.5% − Darlington, United Kingdom strong -24.3% − Sukabumi, Indonesia happy -9.2% − Rouen, France strong -6.3% − Manchester, United Kingdom strong -9.2% − South Cambridgeshire, United Kingdom strong -17.7% − MONROVIA, Liberia happy -23.4% − Kisumu, Kenya confused -19.7% − Peshawar, Pakistan strong -24.4% − Luohe, China happy -22.9% − Zaria, Nigeria confused -18.6% −
=
Sidi-bel-Abbès, Algeria happy − Lipetsk, Russia strong − Bihar Sharif, India happy − Dayuan, China happy − Artux, China happy − Guikong, China happy − Sao José do Rio Prêto, Brazil happy − Novocherkassk, Russia happy − Angren, Uzbekistan confused − Nandyal, India happy − Deir El-Zor, Syrian Arab Republic happy − Chongli, China weak − Taian, China confused − Colimas, Mexico happy − Kiselevsk, Russia happy − Taiyan, China happy − Shaown, China happy − Holon, Israel confused − Nasariya, Iraq happy − Soyapango, El Salvador happy − Khouribga, Morocco sad − Meizhou, China strong − Jastrzebie - Zdrój, Poland confused − Sialkote, Pakistan happy − Niiza, Japan happy − Shuangyashan, China happy − Basingstoke & Deane, United Kingdom happy − Salamanca, Mexico strong − Huaiyin, China happy − Reggio di Calabria, Italy happy − Xiaocan, China happy − Pinxiang, China happy − Durg, India weak − Kurume, Japan guilty − Juazeiro do Norte, Brazil happy − Moji-Guaçu, Brazil happy − San Fernando de Apure, Venezuela strong − Pórto Velho, Brazil happy − Evpatoriya, Ukraine happy − Kashihara, Japan happy − Xuchang, China happy − Alagoinhas, Brazil strong − Changweon, Korea, South happy − Al-Rakka, Syrian Arab Republic happy − Guangshui, China happy − Sao Joao de Meriti, Brazil happy − Dlepmealow, South Africa happy − Debrezit, Ethiopia happy − Jinin, China happy − Sirjan, Iran happy − Yuncheng, China weak − Calithèa, Greece happy − Rubtsovsk, Russia happy − Ferraz de Vasconcelos, Brazil happy − Taldikorgan, Kazakstan happy − Syktivkar, Russia happy − Kanhangad, India happy − Chinhae, Korea, South happy − Kadhimain, Iraq happy − Shanwei, China confused − Mudangiang, China happy − Korla, China strong
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