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
Kharagpur, India strong +17.6% − TIRANA, Albania sad +18.7% − Ubon Ratchathani, Thailand confused +23.5% − Unnao, India weak +18.8% − BISHKEK, Kyrgyzstan weak +8.9% − Zonguldak, Turkey strong +22.9% − Erlangen, Germany confused +22.9% − Nizhnekamsk, Russia confused +21.0% − Jamalpur, Bangladesh confused +17.7% − Ubon Ratchathani, Thailand confused +23.5% − Várzea Grande, Brazil strong +21.5% − Paraná, Argentina strong +12.3% − Vadakara, India sad +6.6% − Tangshan, China weak +22.3% − Shaoyang, China weak +21.8% − Ichikawa, Japan strong +4.5% − Waitakere, New Zealand confused +23.5% − Kofu, Japan confused +20.9% − Baranovichi, Belarus strong +18.5% − Pocos de Caldas, Brazil strong +24.0% − Cangzhou, China confused +17.7% − Malabon, Philippines happy +23.0% − The Wrekin, United Kingdom happy +23.6% − Yokkaichi, Japan strong +19.6% − East Hampshire, United Kingdom confused +19.0% − Yavatmal, India guilty +24.6% − Chon Buri, Thailand strong +23.4% − Lapu-Lapu, Philippines strong +24.6% − Surakarta, Indonesia strong +20.9% − ST. GEORGES, Grenada strong +19.2% − Cardiff, United Kingdom strong +16.1% − Gurgaon, India strong +14.2% − Ulsan, Korea, South confused +24.5% − Kure, Japan happy +17.9% − BASSE-TERRE, Guadeloupe strong +24.8% − Rangpur, Bangladesh happy +24.3% − Amiens, France confused +22.5% − Vallejo, United States confused +21.9% − Guilin, China strong +3.0% − Gurgaon, India strong +14.2% − Anjo, Japan strong +2.2% − Remscheid, Germany strong +19.6% − Xichang, China confused +20.3% − Chungju, Korea, South sad +4.6% − Dunfermline, United Kingdom confused +6.9% − Tarragona, Spain strong +21.8% − Yao, Japan strong +22.0% − Engels, Russia strong +21.7% − Thai Nguyen, Vietnam sad +18.1% − Waverley, United Kingdom weak +24.4% − Ulan-Ude, Russia confused +2.6% − La Spezia, Italy confused +22.0% − Zonguldak, Turkey strong +22.9% − Laval, Canada strong +10.7% − Lisburn, United Kingdom strong +19.9% − Gaya, India strong +23.6% − The Wrekin, United Kingdom happy +23.6% − Fresno, United States strong +21.7% − Warren, United States strong +22.1% − LA HABANA, Cuba strong +18.2% − Mulhouse, France happy +21.4% − San Sebastián, Spain confused +24.0% − Fukuoka, Japan weak +13.4% − Mbeya, Tanzania confused +22.8% − Engels, Russia strong +21.7% − Pohang, Korea, South confused +21.8% − Remscheid, Germany strong +19.6% − Eastleigh, United Kingdom happy +19.0% − BRIDGETOWN, Barbados confused +23.8% − Oberhausen, Germany weak +19.1% − Pinar del Río, Cuba confused +18.6% − Chungju, Korea, South sad +4.6% − Ambala, India happy +21.8% − San Cristóbal, Venezuela weak +18.5% − Tanga, Tanzania confused +20.3% − Springfield, United States confused +5.1% − PANAMA, Panama strong +3.1% − Ndola, Zambia happy +17.9% − Xichang, China confused +20.3% − Monywa, Myanmar confused +22.1% − Grodno, Belarus sad +19.8% − Hamilton, Canada confused +21.0% − Tacoma, United States confused +20.3% − Tyumen, Russia strong +7.1% − Abeokuta, Nigeria happy +19.5% − Smolensk, Russia happy +17.6% − Chillán, Chile strong +21.7% − Mönchengladbach, Germany happy +14.7% − Beaumont, United States confused +12.1% − Sedgemoor, United Kingdom strong +19.3% − Bobo Dioulasso, Burkina Faso angry +20.4% − Loudi, China weak +17.8% − Maiduguri, Nigeria confused +21.6% − Tacoma, United States confused +20.3% − Giza, Egypt confused +23.8% − Anyang, China confused +1.0% − Pinar del Río, Cuba confused +18.6% − Medellín, Colombia strong +21.8% − Caruaru, Brazil strong +18.6% − Diyarbakir, Turkey strong +22.7% − Silay, Philippines happy +19.9% −
Aguascalientes, Mexico strong -17.6% − Richmond, United States confused -21.8% − Iseyin, Nigeria happy -22.8% − Hampton, United States strong -12.1% − Geelong, Australia confused -2.1% − Durango, Mexico strong -25.0% − Luohe, China happy -22.9% − Gent, Belgium strong -4.2% − Sukabumi, Indonesia happy -9.2% − NOUMEA, New Caledonia strong -18.8% − Mojokerto, Indonesia strong -13.8% − Curitiba, Brazil strong -24.8% − Gujrat, Pakistan strong -22.0% − Alexandria, United States strong -11.9% − Palakkad, India strong -17.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Petrópolis, Brazil strong -18.6% − Jersey City, United States strong -23.2% − Fukuyama, Japan strong -22.7% − Serra, Brazil strong -5.4% − South Cambridgeshire, United Kingdom strong -17.7% − Kisumu, Kenya confused -19.7% − Toluca, Mexico confused -22.6% − Magdeburg, Germany strong -23.7% − Chimbote, Peru strong -22.8% − Sefton, United Kingdom strong -5.2% − Tampa, United States confused -19.1% − Jinan, China strong -8.9% − Jiamusi, China strong -18.6% − Anand, India strong -3.1% − Cochabamba, Bolivia strong -23.2% − Kotte, Sri Lanka confused -1.5% − Sapucaia, Brazil strong -18.8% − Tanjung Balai, Indonesia weak -4.9% − Brescia, Italy strong -18.6% − San Pablo, Philippines strong -18.3% − Bareilly, India confused -23.5% − Zaria, Nigeria confused -18.6% − Chicago, United States strong -18.5% − Birmingham, United States confused -22.6% − Queimados, Brazil strong -20.4% − Nhatrang, Vietnam happy -22.9% − LISBON, Portugal strong -7.5% − Ingolstadt, Germany strong -14.9% − Braila, Romania strong -17.5% − Amagasaki, Japan happy -24.2% − Batangas, Philippines strong -22.8% − Irving, United States strong -20.4% − Manchester, United Kingdom strong -9.2% − San Jose, United States confused -24.0% − Richmond, United States confused -21.8% − Chiba, Japan strong -24.8% − Muntinlupa, Philippines strong -19.8% − Peshawar, Pakistan strong -24.4% − Rouen, France strong -6.3% − Adana, Turkey confused -23.4% − Dourados, Brazil strong -1.2% − Yingcheng, China happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Quezon City, Philippines strong -4.0% − Bridgeport, United States strong -18.9% − MONROVIA, Liberia happy -23.4% − Valencia, Venezuela confused -8.0% − Kochi, India strong -24.8% − Leipzig, Germany strong -21.8% − Darlington, United Kingdom strong -24.3% − Halifax, Canada strong -19.1% − Kawachinagano, Japan happy -22.9% − Sergiev Posad, Russia happy -17.8% − Floridablanca, Colombia strong -22.9% − Kitchener, Canada strong -15.2% −
=
Angren, Uzbekistan confused − Kurume, Japan guilty − Chongli, China weak − Nasariya, Iraq happy − Khouribga, Morocco sad − Sao José do Rio Prêto, Brazil happy − Sidi-bel-Abbès, Algeria happy − Reggio di Calabria, Italy happy − Rubtsovsk, Russia happy − Niiza, Japan happy − Lipetsk, Russia strong − Huaiyin, China happy − Jastrzebie - Zdrój, Poland confused − Guikong, China happy − Novocherkassk, Russia happy − Durg, India weak − Calithèa, Greece happy − Sao Joao de Meriti, Brazil happy − Holon, Israel confused − Moji-Guaçu, Brazil happy − Chinhae, Korea, South happy − Taiyan, China happy − Shuangyashan, China happy − Debrezit, Ethiopia happy − Nandyal, India happy − Pinxiang, China happy − Xiaocan, China happy − Dayuan, China happy − Ferraz de Vasconcelos, Brazil happy − Evpatoriya, Ukraine happy − San Fernando de Apure, Venezuela strong − Colimas, Mexico happy − Salamanca, Mexico strong − Meizhou, China strong − Sirjan, Iran happy − Juazeiro do Norte, Brazil happy − Syktivkar, Russia happy − Kadhimain, Iraq happy − Basingstoke & Deane, United Kingdom happy − Xuchang, China happy − Taian, China confused − Mudangiang, China happy − Sialkote, Pakistan happy − Alagoinhas, Brazil strong − Korla, China strong − Al-Rakka, Syrian Arab Republic happy − Taldikorgan, Kazakstan happy − Deir El-Zor, Syrian Arab Republic happy − Kashihara, Japan happy − Dlepmealow, South Africa happy − Guangshui, China happy − Changweon, Korea, South happy − Shaown, China happy − Bihar Sharif, India happy − Jinin, China happy − Kanhangad, India happy − Soyapango, El Salvador happy − Artux, China happy − Yuncheng, China weak − Pórto Velho, Brazil happy − Kiselevsk, Russia happy − Shanwei, China confused
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