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% − Anjo, Japan strong +2.2% − Abeokuta, Nigeria happy +19.5% − Hamilton, Canada confused +21.0% − Kharagpur, India strong +17.6% − Beaumont, United States confused +12.1% − Chungju, Korea, South sad +4.6% − Arad, Romania strong +11.8% − Tacoma, United States confused +20.3% − Kure, Japan happy +17.9% − Daxian, China sad +23.8% − ST. GEORGES, Grenada strong +19.2% − Grodno, Belarus sad +19.8% − Oberhausen, Germany weak +19.1% − Abeokuta, Nigeria happy +19.5% − Shaoyang, China weak +21.8% − Tangshan, China weak +22.3% − Mönchengladbach, Germany happy +14.7% − Erlangen, Germany confused +22.9% − Pegu, Myanmar confused +24.1% − Jamalpur, Bangladesh confused +17.7% − Smolensk, Russia happy +17.6% − Waitakere, New Zealand confused +23.5% − Oberhausen, Germany weak +19.1% − Cangzhou, China confused +17.7% − TIRANA, Albania sad +18.7% − Zonguldak, Turkey strong +22.9% − Silay, Philippines happy +19.9% − Yao, Japan strong +22.0% − Erbil, Iraq strong +20.1% − Huntington Beach, United States strong +23.2% − Pohang, Korea, South confused +21.8% − Remscheid, Germany strong +19.6% − Raniganj, India confused +23.2% − LA HABANA, Cuba strong +18.2% − Guarapuava, Brazil strong +18.9% − Xichang, China confused +20.3% − Tacoma, United States confused +20.3% − Tyumen, Russia strong +7.1% − North York, Canada strong +20.2% − Springfield, United States confused +5.1% − Amiens, France confused +22.5% − Kofu, Japan confused +20.9% − La Spezia, Italy confused +22.0% − Guilin, China strong +3.0% − Zonguldak, Turkey strong +22.9% − Sikar, India confused +24.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Rangpur, Bangladesh happy +24.3% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − San Sebastián, Spain confused +24.0% − Waverley, United Kingdom weak +24.4% − Pocos de Caldas, Brazil strong +24.0% − Phoenix, United States strong +11.7% − Yavatmal, India guilty +24.6% − Chungju, Korea, South sad +4.6% − Jequié, Brazil strong +5.6% − Vallejo, United States confused +21.9% − BRIDGETOWN, Barbados confused +23.8% − Regensburg, Germany strong +16.0% − Diyarbakir, Turkey strong +22.7% − Eastleigh, United Kingdom happy +19.0% − Tanga, Tanzania confused +20.3% − Jhang, Pakistan strong +23.9% − Fresno, United States strong +21.7% − BISHKEK, Kyrgyzstan weak +8.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Jhang, Pakistan strong +23.9% − Ichikawa, Japan strong +4.5% − Susano, Brazil strong +1.7% − Engels, Russia strong +21.7% − Tameside, United Kingdom confused +19.1% − Paraná, Argentina strong +12.3% − Monywa, Myanmar confused +22.1% − The Wrekin, United Kingdom happy +23.6% − Sedgemoor, United Kingdom strong +19.3% − Botou, China strong +24.2% − Chon Buri, Thailand strong +23.4% − Pinar del Río, Cuba confused +18.6% − Baranovichi, Belarus strong +18.5% − Ulsan, Korea, South confused +24.5% − Surakarta, Indonesia strong +20.9% − The Wrekin, United Kingdom happy +23.6% − Thai Nguyen, Vietnam sad +18.1% − Gaya, India strong +23.6% − Engels, Russia strong +21.7% − Caruaru, Brazil strong +18.6% − Lapu-Lapu, Philippines strong +24.6% − PANAMA, Panama strong +3.1% − Medellín, Colombia strong +21.8% − Loudi, China weak +17.8% − Xichang, China confused +20.3% − Ubon Ratchathani, Thailand confused +23.5% − Gurgaon, India strong +14.2% − Várzea Grande, Brazil strong +21.5% − San Cristóbal, Venezuela weak +18.5% − Ulan-Ude, Russia confused +2.6% − Anyang, China confused +1.0% − Ubon Ratchathani, Thailand confused +23.5% − Yokkaichi, Japan strong +19.6% − Vadakara, India sad +6.6% −
MONROVIA, Liberia happy -23.4% − Tanjung Balai, Indonesia weak -4.9% − Petrópolis, Brazil strong -18.6% − Richmond, United States confused -21.8% − Kotte, Sri Lanka confused -1.5% − Geelong, Australia confused -2.1% − Brescia, Italy strong -18.6% − Birmingham, United States confused -22.6% − Jiamusi, China strong -18.6% − Floridablanca, Colombia strong -22.9% − NOUMEA, New Caledonia strong -18.8% − Chiba, Japan strong -24.8% − Toluca, Mexico confused -22.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Rouen, France strong -6.3% − Irving, United States strong -20.4% − South Cambridgeshire, United Kingdom strong -17.7% − Chicago, United States strong -18.5% − Zaria, Nigeria confused -18.6% − Chimbote, Peru strong -22.8% − Teignbridge, United Kingdom confused -20.2% − Kisumu, Kenya confused -19.7% − Batangas, Philippines strong -22.8% − Queimados, Brazil strong -20.4% − Manchester, United Kingdom strong -9.2% − Aguascalientes, Mexico strong -17.6% − Kitchener, Canada strong -15.2% − Dourados, Brazil strong -1.2% − Nhatrang, Vietnam happy -22.9% − Fukuyama, Japan strong -22.7% − Adana, Turkey confused -23.4% − Valencia, Venezuela confused -8.0% − Braila, Romania strong -17.5% − Jinan, China strong -8.9% − San Pablo, Philippines strong -18.3% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Leipzig, Germany strong -21.8% − Bareilly, India confused -23.5% − Magdeburg, Germany strong -23.7% − LISBON, Portugal strong -7.5% − Darlington, United Kingdom strong -24.3% − Peshawar, Pakistan strong -24.4% − Bridgeport, United States strong -18.9% − Yingcheng, China happy -22.9% − Iseyin, Nigeria happy -22.8% − Gent, Belgium strong -4.2% − Jersey City, United States strong -23.2% − Quezon City, Philippines strong -4.0% − Sergiev Posad, Russia happy -17.8% − Amagasaki, Japan happy -24.2% − Anand, India strong -3.1% − Hampton, United States strong -12.1% − Palakkad, India strong -17.6% − Sukabumi, Indonesia happy -9.2% − Ingolstadt, Germany strong -14.9% − Durango, Mexico strong -25.0% − Sefton, United Kingdom strong -5.2% − Tampa, United States confused -19.1% − Serra, Brazil strong -5.4% − Curitiba, Brazil strong -24.8% − Richmond, United States confused -21.8% − Luohe, China happy -22.9% − Kochi, India strong -24.8% − Mojokerto, Indonesia strong -13.8% − Muntinlupa, Philippines strong -19.8% − Halifax, Canada strong -19.1% − Alexandria, United States strong -11.9% − San Jose, United States confused -24.0% − Gujrat, Pakistan strong -22.0% − Kawachinagano, Japan happy -22.9% − Sapucaia, Brazil strong -18.8% − Cochabamba, Bolivia strong -23.2% −
=
Syktivkar, Russia happy − Sirjan, Iran happy − Nandyal, India happy − Deir El-Zor, Syrian Arab Republic happy − Calithèa, Greece happy − Evpatoriya, Ukraine happy − San Fernando de Apure, Venezuela strong − Taian, China confused − Angren, Uzbekistan confused − Durg, India weak − Meizhou, China strong − Korla, China strong − Mudangiang, China happy − Sao Joao de Meriti, Brazil happy − Taiyan, China happy − Khouribga, Morocco sad − Xuchang, China happy − Artux, China happy − Soyapango, El Salvador happy − Shaown, China happy − Jastrzebie - Zdrój, Poland confused − Kiselevsk, Russia happy − Guangshui, China happy − Moji-Guaçu, Brazil happy − Alagoinhas, Brazil strong − Lipetsk, Russia strong − Shanwei, China confused − Kanhangad, India happy − Chongli, China weak − Basingstoke & Deane, United Kingdom happy − Sao José do Rio Prêto, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Guikong, China happy − Xiaocan, China happy − Huaiyin, China happy − Reggio di Calabria, Italy happy − Al-Rakka, Syrian Arab Republic happy − Dlepmealow, South Africa happy − Holon, Israel confused − Rubtsovsk, Russia happy − Debrezit, Ethiopia happy − Pinxiang, China happy − Yuncheng, China weak − Changweon, Korea, South happy − Kadhimain, Iraq happy − Bihar Sharif, India happy − Taldikorgan, Kazakstan happy − Sidi-bel-Abbès, Algeria happy − Shuangyashan, China happy − Dayuan, China happy − Pórto Velho, Brazil happy − Novocherkassk, Russia happy − Salamanca, Mexico strong − Kurume, Japan guilty − Sialkote, Pakistan happy − Juazeiro do Norte, Brazil happy − Chinhae, Korea, South happy − Kashihara, Japan happy − Jinin, China happy − Colimas, Mexico happy − Nasariya, Iraq happy − Niiza, Japan 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