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
Springfield, United States confused +5.1% − LA HABANA, Cuba strong +18.2% − Kharagpur, India strong +17.6% − La Spezia, Italy confused +22.0% − The Wrekin, United Kingdom happy +23.6% − Waverley, United Kingdom weak +24.4% − Gurgaon, India strong +14.2% − Pinar del Río, Cuba confused +18.6% − East Hampshire, United Kingdom confused +19.0% − Loudi, China weak +17.8% − Waitakere, New Zealand confused +23.5% − ST. GEORGES, Grenada strong +19.2% − San Sebastián, Spain confused +24.0% − Sikar, India confused +24.6% − Ubon Ratchathani, Thailand confused +23.5% − Smolensk, Russia happy +17.6% − Erlangen, Germany confused +22.9% − Pocos de Caldas, Brazil strong +24.0% − Gurgaon, India strong +14.2% − Jequié, Brazil strong +5.6% − Oberhausen, Germany weak +19.1% − Xichang, China confused +20.3% − Chon Buri, Thailand strong +23.4% − Tarragona, Spain strong +21.8% − PANAMA, Panama strong +3.1% − Vallejo, United States confused +21.9% − Ichikawa, Japan strong +4.5% − Boksburg, South Africa confused +18.1% − Arad, Romania strong +11.8% − The Wrekin, United Kingdom happy +23.6% − Pegu, Myanmar confused +24.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Remscheid, Germany strong +19.6% − Grodno, Belarus sad +19.8% − Tanga, Tanzania confused +20.3% − Guilin, China strong +3.0% − Daxian, China sad +23.8% − Ulan-Ude, Russia confused +2.6% − Kure, Japan happy +17.9% − ROAD TOWN, British Virgin Islands confused +22.0% − Caruaru, Brazil strong +18.6% − Monywa, Myanmar confused +22.1% − Engels, Russia strong +21.7% − Jhang, Pakistan strong +23.9% − Gaya, India strong +23.6% − Botou, China strong +24.2% − Mulhouse, France happy +21.4% − Lisburn, United Kingdom strong +19.9% − Anjo, Japan strong +2.2% − Zonguldak, Turkey strong +22.9% − Vallejo, United States confused +21.9% − Tyumen, Russia strong +7.1% − Chungju, Korea, South sad +4.6% − Silay, Philippines happy +19.9% − Várzea Grande, Brazil strong +21.5% − Tameside, United Kingdom confused +19.1% − Maiduguri, Nigeria confused +21.6% − Pinar del Río, Cuba confused +18.6% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Regensburg, Germany strong +16.0% − Botou, China strong +24.2% − Yokkaichi, Japan strong +19.6% − Ndola, Zambia happy +17.9% − Susano, Brazil strong +1.7% − Fukuoka, Japan weak +13.4% − Mbeya, Tanzania confused +22.8% − Raniganj, India confused +23.2% − Diyarbakir, Turkey strong +22.7% − Burgos, Spain strong +19.8% − Fresno, United States strong +21.7% − Lapu-Lapu, Philippines strong +24.6% − Hachinohe, Japan strong +21.2% − San Cristóbal, Venezuela weak +18.5% − Anyang, China confused +1.0% − Hamilton, Canada confused +21.0% − Cangzhou, China confused +17.7% − Abeokuta, Nigeria happy +19.5% − Warren, United States strong +22.1% − Jhang, Pakistan strong +23.9% − BRIDGETOWN, Barbados confused +23.8% − Yao, Japan strong +22.0% − Pohang, Korea, South confused +21.8% − Surakarta, Indonesia strong +20.9% − Oberhausen, Germany weak +19.1% − Jamalpur, Bangladesh confused +17.7% − Amiens, France confused +22.5% − Giza, Egypt confused +23.8% − Tacoma, United States confused +20.3% − Malabon, Philippines happy +23.0% − Laval, Canada strong +10.7% − Tacoma, United States confused +20.3% − Tangshan, China weak +22.3% − Medellín, Colombia strong +21.8% − Engels, Russia strong +21.7% − Nizhnekamsk, Russia confused +21.0% − Baranovichi, Belarus strong +18.5% − Phoenix, United States strong +11.7% − BASSE-TERRE, Guadeloupe strong +24.8% − Ulsan, Korea, South confused +24.5% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% −
Curitiba, Brazil strong -24.8% − Iseyin, Nigeria happy -22.8% − San Pablo, Philippines strong -18.3% − Geelong, Australia confused -2.1% − Tanjung Balai, Indonesia weak -4.9% − Peshawar, Pakistan strong -24.4% − Jinan, China strong -8.9% − Chiba, Japan strong -24.8% − Hampton, United States strong -12.1% − Halifax, Canada strong -19.1% − LISBON, Portugal strong -7.5% − Kotte, Sri Lanka confused -1.5% − Cochabamba, Bolivia strong -23.2% − Sefton, United Kingdom strong -5.2% − Ingolstadt, Germany strong -14.9% − Aguascalientes, Mexico strong -17.6% − Richmond, United States confused -21.8% − Bareilly, India confused -23.5% − Yingcheng, China happy -22.9% − Alexandria, United States strong -11.9% − Sukabumi, Indonesia happy -9.2% − Gujrat, Pakistan strong -22.0% − Toluca, Mexico confused -22.6% − Jersey City, United States strong -23.2% − Gent, Belgium strong -4.2% − Luohe, China happy -22.9% − Queimados, Brazil strong -20.4% − Kitchener, Canada strong -15.2% − Braila, Romania strong -17.5% − Jiamusi, China strong -18.6% − Tampa, United States confused -19.1% − Muntinlupa, Philippines strong -19.8% − Magdeburg, Germany strong -23.7% − Adana, Turkey confused -23.4% − Anand, India strong -3.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Richmond, United States confused -21.8% − MONROVIA, Liberia happy -23.4% − Sapucaia, Brazil strong -18.8% − Rouen, France strong -6.3% − Mojokerto, Indonesia strong -13.8% − Serra, Brazil strong -5.4% − Brescia, Italy strong -18.6% − Palakkad, India strong -17.6% − Valencia, Venezuela confused -8.0% − Durango, Mexico strong -25.0% − Floridablanca, Colombia strong -22.9% − Teignbridge, United Kingdom confused -20.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Chimbote, Peru strong -22.8% − Dourados, Brazil strong -1.2% − NOUMEA, New Caledonia strong -18.8% − Manchester, United Kingdom strong -9.2% − Leipzig, Germany strong -21.8% − Chicago, United States strong -18.5% − Batangas, Philippines strong -22.8% − Sergiev Posad, Russia happy -17.8% − Kisumu, Kenya confused -19.7% − Petrópolis, Brazil strong -18.6% − Quezon City, Philippines strong -4.0% − Birmingham, United States confused -22.6% − Nhatrang, Vietnam happy -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Zaria, Nigeria confused -18.6% − Darlington, United Kingdom strong -24.3% − Bridgeport, United States strong -18.9% − Fukuyama, Japan strong -22.7% − San Jose, United States confused -24.0% − Amagasaki, Japan happy -24.2% − Kochi, India strong -24.8% − Irving, United States strong -20.4% − Kawachinagano, Japan happy -22.9% −
=
Deir El-Zor, Syrian Arab Republic happy − Calithèa, Greece happy − Debrezit, Ethiopia happy − Colimas, Mexico happy − Xiaocan, China happy − Taldikorgan, Kazakstan happy − Al-Rakka, Syrian Arab Republic happy − Dayuan, China happy − Chinhae, Korea, South happy − Jastrzebie - Zdrój, Poland confused − Sidi-bel-Abbès, Algeria happy − Alagoinhas, Brazil strong − Nandyal, India happy − Huaiyin, China happy − Kanhangad, India happy − Pinxiang, China happy − Kashihara, Japan happy − Novocherkassk, Russia happy − Durg, India weak − Basingstoke & Deane, United Kingdom happy − Guangshui, China happy − Evpatoriya, Ukraine happy − Chongli, China weak − Taian, China confused − Pórto Velho, Brazil happy − Artux, China happy − Sirjan, Iran happy − Shuangyashan, China happy − Meizhou, China strong − Kiselevsk, Russia happy − Changweon, Korea, South happy − Korla, China strong − Niiza, Japan happy − Holon, Israel confused − Moji-Guaçu, Brazil happy − Guikong, China happy − Ferraz de Vasconcelos, Brazil happy − Juazeiro do Norte, Brazil happy − Reggio di Calabria, Italy happy − Rubtsovsk, Russia happy − Shaown, China happy − Angren, Uzbekistan confused − Sialkote, Pakistan happy − Syktivkar, Russia happy − Lipetsk, Russia strong − Kadhimain, Iraq happy − Shanwei, China confused − Taiyan, China happy − Soyapango, El Salvador happy − Nasariya, Iraq happy − Jinin, China happy − Sao José do Rio Prêto, Brazil happy − Dlepmealow, South Africa happy − Bihar Sharif, India happy − Mudangiang, China happy − Sao Joao de Meriti, Brazil happy − Khouribga, Morocco sad − Kurume, Japan guilty − Xuchang, China happy − San Fernando de Apure, Venezuela strong − Salamanca, Mexico strong − Yuncheng, China weak
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