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
Beaumont, United States confused +12.1% − Chillán, Chile strong +21.7% − Piracicaba, Brazil strong +20.7% − BASSE-TERRE, Guadeloupe strong +24.8% − Malabon, Philippines happy +23.0% − Burgos, Spain strong +19.8% − Pinar del Río, Cuba confused +18.6% − Fresno, United States strong +21.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Cangzhou, China confused +17.7% − Giza, Egypt confused +23.8% − Maiduguri, Nigeria confused +21.6% − Oberhausen, Germany weak +19.1% − Ulan-Ude, Russia confused +2.6% − BRIDGETOWN, Barbados confused +23.8% − Tacoma, United States confused +20.3% − Botou, China strong +24.2% − Regensburg, Germany strong +16.0% − Tacoma, United States confused +20.3% − Vallejo, United States confused +21.9% − Jhang, Pakistan strong +23.9% − Waverley, United Kingdom weak +24.4% − Kharagpur, India strong +17.6% − Springfield, United States confused +5.1% − Vallejo, United States confused +21.9% − San Cristóbal, Venezuela weak +18.5% − Ubon Ratchathani, Thailand confused +23.5% − Fukuoka, Japan weak +13.4% − Vadakara, India sad +6.6% − Paraná, Argentina strong +12.3% − Pegu, Myanmar confused +24.1% − Remscheid, Germany strong +19.6% − Erlangen, Germany confused +22.9% − Boksburg, South Africa confused +18.1% − Amiens, France confused +22.5% − Kure, Japan happy +17.9% − LA HABANA, Cuba strong +18.2% − Engels, Russia strong +21.7% − Raniganj, India confused +23.2% − BISHKEK, Kyrgyzstan weak +8.9% − Remscheid, Germany strong +19.6% − Grodno, Belarus sad +19.8% − Chungju, Korea, South sad +4.6% − Surakarta, Indonesia strong +20.9% − Eastleigh, United Kingdom happy +19.0% − Gaya, India strong +23.6% − Mbeya, Tanzania confused +22.8% − North York, Canada strong +20.2% − Nizhnekamsk, Russia confused +21.0% − Tarragona, Spain strong +21.8% − Guarapuava, Brazil strong +18.9% − Baranovichi, Belarus strong +18.5% − Thai Nguyen, Vietnam sad +18.1% − Warren, United States strong +22.1% − Sikar, India confused +24.6% − Jequié, Brazil strong +5.6% − Rangpur, Bangladesh happy +24.3% − Kofu, Japan confused +20.9% − Tyumen, Russia strong +7.1% − Cardiff, United Kingdom strong +16.1% − The Wrekin, United Kingdom happy +23.6% − Smolensk, Russia happy +17.6% − Daxian, China sad +23.8% − Engels, Russia strong +21.7% − Pohang, Korea, South confused +21.8% − Guilin, China strong +3.0% − ST. GEORGES, Grenada strong +19.2% − Lapu-Lapu, Philippines strong +24.6% − Abeokuta, Nigeria happy +19.5% − Pinar del Río, Cuba confused +18.6% − Waitakere, New Zealand confused +23.5% − Dunfermline, United Kingdom confused +6.9% − Shaoyang, China weak +21.8% − Tanga, Tanzania confused +20.3% − The Wrekin, United Kingdom happy +23.6% − Várzea Grande, Brazil strong +21.5% − La Spezia, Italy confused +22.0% − Ndola, Zambia happy +17.9% − Silay, Philippines happy +19.9% − Yavatmal, India guilty +24.6% − Hamilton, Canada confused +21.0% − Chungju, Korea, South sad +4.6% − Jhang, Pakistan strong +23.9% − Xichang, China confused +20.3% − Ambala, India happy +21.8% − TIRANA, Albania sad +18.7% − Gurgaon, India strong +14.2% − Lisburn, United Kingdom strong +19.9% − Ubon Ratchathani, Thailand confused +23.5% − Jamalpur, Bangladesh confused +17.7% − Phoenix, United States strong +11.7% − Arad, Romania strong +11.8% − Yao, Japan strong +22.0% − PANAMA, Panama strong +3.1% − Susano, Brazil strong +1.7% − Oberhausen, Germany weak +19.1% − Chon Buri, Thailand strong +23.4% − Laval, Canada strong +10.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Unnao, India weak +18.8% − Pocos de Caldas, Brazil strong +24.0% −
San Jose, United States confused -24.0% − Mojokerto, Indonesia strong -13.8% − Adana, Turkey confused -23.4% − Serra, Brazil strong -5.4% − Dourados, Brazil strong -1.2% − Jiamusi, China strong -18.6% − Gujrat, Pakistan strong -22.0% − Darlington, United Kingdom strong -24.3% − Iseyin, Nigeria happy -22.8% − Magdeburg, Germany strong -23.7% − Petrópolis, Brazil strong -18.6% − Irving, United States strong -20.4% − Bareilly, India confused -23.5% − San Pablo, Philippines strong -18.3% − Anand, India strong -3.1% − Zaria, Nigeria confused -18.6% − Kisumu, Kenya confused -19.7% − Curitiba, Brazil strong -24.8% − Nhatrang, Vietnam happy -22.9% − LISBON, Portugal strong -7.5% − Crewe & Nantwich, United Kingdom strong -17.6% − Richmond, United States confused -21.8% − Chiba, Japan strong -24.8% − Richmond, United States confused -21.8% − Floridablanca, Colombia strong -22.9% − Queimados, Brazil strong -20.4% − Aguascalientes, Mexico strong -17.6% − Jinan, China strong -8.9% − Batangas, Philippines strong -22.8% − South Cambridgeshire, United Kingdom strong -17.7% − Chimbote, Peru strong -22.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Kochi, India strong -24.8% − Yingcheng, China happy -22.9% − Cochabamba, Bolivia strong -23.2% − Geelong, Australia confused -2.1% − Manchester, United Kingdom strong -9.2% − Gent, Belgium strong -4.2% − Fukuyama, Japan strong -22.7% − Sefton, United Kingdom strong -5.2% − Alexandria, United States strong -11.9% − Jersey City, United States strong -23.2% − NOUMEA, New Caledonia strong -18.8% − Tanjung Balai, Indonesia weak -4.9% − Kotte, Sri Lanka confused -1.5% − Braila, Romania strong -17.5% − Amagasaki, Japan happy -24.2% − Brescia, Italy strong -18.6% − Quezon City, Philippines strong -4.0% − Leipzig, Germany strong -21.8% − Kitchener, Canada strong -15.2% − Bridgeport, United States strong -18.9% − Chicago, United States strong -18.5% − Rouen, France strong -6.3% − Valencia, Venezuela confused -8.0% − Palakkad, India strong -17.6% − Durango, Mexico strong -25.0% − Sapucaia, Brazil strong -18.8% − Tampa, United States confused -19.1% − Halifax, Canada strong -19.1% − Muntinlupa, Philippines strong -19.8% − MONROVIA, Liberia happy -23.4% − Teignbridge, United Kingdom confused -20.2% − Hampton, United States strong -12.1% − Ingolstadt, Germany strong -14.9% − Kawachinagano, Japan happy -22.9% − Sergiev Posad, Russia happy -17.8% − Toluca, Mexico confused -22.6% − Luohe, China happy -22.9% − Sukabumi, Indonesia happy -9.2% − Birmingham, United States confused -22.6% − Peshawar, Pakistan strong -24.4% −
=
Syktivkar, Russia happy − San Fernando de Apure, Venezuela strong − Ferraz de Vasconcelos, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Xuchang, China happy − Soyapango, El Salvador happy − Huaiyin, China happy − Durg, India weak − Kadhimain, Iraq happy − Sao Joao de Meriti, Brazil happy − Dlepmealow, South Africa happy − Yuncheng, China weak − Taldikorgan, Kazakstan happy − Sao José do Rio Prêto, Brazil happy − Pórto Velho, Brazil happy − Khouribga, Morocco sad − Reggio di Calabria, Italy happy − Juazeiro do Norte, Brazil happy − Mudangiang, China happy − Chinhae, Korea, South happy − Chongli, China weak − Angren, Uzbekistan confused − Shuangyashan, China happy − Pinxiang, China happy − Alagoinhas, Brazil strong − Lipetsk, Russia strong − Calithèa, Greece happy − Shanwei, China confused − Xiaocan, China happy − Sidi-bel-Abbès, Algeria happy − Kanhangad, India happy − Colimas, Mexico happy − Taian, China confused − Sialkote, Pakistan happy − Nandyal, India happy − Changweon, Korea, South happy − Debrezit, Ethiopia happy − Basingstoke & Deane, United Kingdom happy − Holon, Israel confused − Moji-Guaçu, Brazil happy − Taiyan, China happy − Nasariya, Iraq happy − Kurume, Japan guilty − Jastrzebie - Zdrój, Poland confused − Jinin, China happy − Sirjan, Iran happy − Shaown, China happy − Deir El-Zor, Syrian Arab Republic happy − Kiselevsk, Russia happy − Salamanca, Mexico strong − Guikong, China happy − Kashihara, Japan happy − Artux, China happy − Rubtsovsk, Russia happy − Bihar Sharif, India happy − Evpatoriya, Ukraine happy − Guangshui, China happy − Novocherkassk, Russia happy − Korla, China strong − Dayuan, China happy − Meizhou, China strong − 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