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
Smolensk, Russia happy +17.6% − Loudi, China weak +17.8% − Vallejo, United States confused +21.9% − Tangshan, China weak +22.3% − Eastleigh, United Kingdom happy +19.0% − Botou, China strong +24.2% − Ichikawa, Japan strong +4.5% − Gaya, India strong +23.6% − Giza, Egypt confused +23.8% − Dunfermline, United Kingdom confused +6.9% − Ubon Ratchathani, Thailand confused +23.5% − BISHKEK, Kyrgyzstan weak +8.9% − Paraná, Argentina strong +12.3% − Yao, Japan strong +22.0% − BASSE-TERRE, Guadeloupe strong +24.8% − Oberhausen, Germany weak +19.1% − Remscheid, Germany strong +19.6% − LA HABANA, Cuba strong +18.2% − Ndola, Zambia happy +17.9% − Chungju, Korea, South sad +4.6% − Surakarta, Indonesia strong +20.9% − Maiduguri, Nigeria confused +21.6% − Jamalpur, Bangladesh confused +17.7% − Abeokuta, Nigeria happy +19.5% − Pegu, Myanmar confused +24.1% − Thai Nguyen, Vietnam sad +18.1% − Ulan-Ude, Russia confused +2.6% − Arad, Romania strong +11.8% − Regensburg, Germany strong +16.0% − Shaoyang, China weak +21.8% − Gurgaon, India strong +14.2% − Guilin, China strong +3.0% − Springfield, United States confused +5.1% − Phoenix, United States strong +11.7% − North York, Canada strong +20.2% − Pohang, Korea, South confused +21.8% − Tyumen, Russia strong +7.1% − Tanga, Tanzania confused +20.3% − Anjo, Japan strong +2.2% − Kofu, Japan confused +20.9% − Cangzhou, China confused +17.7% − Lapu-Lapu, Philippines strong +24.6% − Nizhnekamsk, Russia confused +21.0% − The Wrekin, United Kingdom happy +23.6% − San Cristóbal, Venezuela weak +18.5% − Tameside, United Kingdom confused +19.1% − Cardiff, United Kingdom strong +16.1% − Ubon Ratchathani, Thailand confused +23.5% − Medellín, Colombia strong +21.8% − Mönchengladbach, Germany happy +14.7% − Diyarbakir, Turkey strong +22.7% − Xichang, China confused +20.3% − Lisburn, United Kingdom strong +19.9% − Boksburg, South Africa confused +18.1% − Botou, China strong +24.2% − Unnao, India weak +18.8% − Hamilton, Canada confused +21.0% − Laval, Canada strong +10.7% − Zonguldak, Turkey strong +22.9% − Tacoma, United States confused +20.3% − Yavatmal, India guilty +24.6% − Daxian, China sad +23.8% − Warren, United States strong +22.1% − Guarapuava, Brazil strong +18.9% − Waverley, United Kingdom weak +24.4% − Gurgaon, India strong +14.2% − Tarragona, Spain strong +21.8% − Pocos de Caldas, Brazil strong +24.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − Jequié, Brazil strong +5.6% − Engels, Russia strong +21.7% − Huntington Beach, United States strong +23.2% − Ulsan, Korea, South confused +24.5% − Ambala, India happy +21.8% − Zonguldak, Turkey strong +22.9% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Malabon, Philippines happy +23.0% − Waitakere, New Zealand confused +23.5% − Mulhouse, France happy +21.4% − Amiens, France confused +22.5% − Xichang, China confused +20.3% − Hachinohe, Japan strong +21.2% − Sikar, India confused +24.6% − Caruaru, Brazil strong +18.6% − Jhang, Pakistan strong +23.9% − Chillán, Chile strong +21.7% − Kure, Japan happy +17.9% − Engels, Russia strong +21.7% − Yokkaichi, Japan strong +19.6% − Vallejo, United States confused +21.9% − Rangpur, Bangladesh happy +24.3% − Silay, Philippines happy +19.9% − Fresno, United States strong +21.7% − Beaumont, United States confused +12.1% − Chungju, Korea, South sad +4.6% − Grodno, Belarus sad +19.8% − Remscheid, Germany strong +19.6% − Erlangen, Germany confused +22.9% − TIRANA, Albania sad +18.7% − Vadakara, India sad +6.6% − Fukuoka, Japan weak +13.4% −
Sukabumi, Indonesia happy -9.2% − Alexandria, United States strong -11.9% − Tanjung Balai, Indonesia weak -4.9% − Durango, Mexico strong -25.0% − Fukuyama, Japan strong -22.7% − Magdeburg, Germany strong -23.7% − Tampa, United States confused -19.1% − Teignbridge, United Kingdom confused -20.2% − Manchester, United Kingdom strong -9.2% − Hampton, United States strong -12.1% − Kawachinagano, Japan happy -22.9% − Sefton, United Kingdom strong -5.2% − Darlington, United Kingdom strong -24.3% − Jiamusi, China strong -18.6% − Ingolstadt, Germany strong -14.9% − Peshawar, Pakistan strong -24.4% − Batangas, Philippines strong -22.8% − Iseyin, Nigeria happy -22.8% − Irving, United States strong -20.4% − Dourados, Brazil strong -1.2% − Zaria, Nigeria confused -18.6% − Birmingham, United States confused -22.6% − Queimados, Brazil strong -20.4% − Jinan, China strong -8.9% − San Jose, United States confused -24.0% − Petrópolis, Brazil strong -18.6% − Amagasaki, Japan happy -24.2% − Kisumu, Kenya confused -19.7% − Bareilly, India confused -23.5% − Bridgeport, United States strong -18.9% − Nhatrang, Vietnam happy -22.9% − Leipzig, Germany strong -21.8% − Aguascalientes, Mexico strong -17.6% − Palakkad, India strong -17.6% − Gujrat, Pakistan strong -22.0% − Halifax, Canada strong -19.1% − NOUMEA, New Caledonia strong -18.8% − Curitiba, Brazil strong -24.8% − Chiba, Japan strong -24.8% − MONROVIA, Liberia happy -23.4% − Braila, Romania strong -17.5% − Yingcheng, China happy -22.9% − Richmond, United States confused -21.8% − Sergiev Posad, Russia happy -17.8% − Anand, India strong -3.1% − Geelong, Australia confused -2.1% − Kitchener, Canada strong -15.2% − Jersey City, United States strong -23.2% − Sapucaia, Brazil strong -18.8% − Luohe, China happy -22.9% − Chimbote, Peru strong -22.8% − Rouen, France strong -6.3% − Valencia, Venezuela confused -8.0% − Toluca, Mexico confused -22.6% − Brescia, Italy strong -18.6% − Mojokerto, Indonesia strong -13.8% − San Pablo, Philippines strong -18.3% − LISBON, Portugal strong -7.5% − Gent, Belgium strong -4.2% − Muntinlupa, Philippines strong -19.8% − South Cambridgeshire, United Kingdom strong -17.7% − Richmond, United States confused -21.8% − Kotte, Sri Lanka confused -1.5% − Crewe & Nantwich, United Kingdom strong -17.6% − Quezon City, Philippines strong -4.0% − Adana, Turkey confused -23.4% − Floridablanca, Colombia strong -22.9% − Cochabamba, Bolivia strong -23.2% − Chicago, United States strong -18.5% − Serra, Brazil strong -5.4% − Kochi, India strong -24.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% −
=
Mudangiang, China happy − Debrezit, Ethiopia happy − Taian, China confused − Soyapango, El Salvador happy − Artux, China happy − Holon, Israel confused − Dlepmealow, South Africa happy − Chongli, China weak − Guikong, China happy − Angren, Uzbekistan confused − Rubtsovsk, Russia happy − San Fernando de Apure, Venezuela strong − Deir El-Zor, Syrian Arab Republic happy − Novocherkassk, Russia happy − Pinxiang, China happy − Kanhangad, India happy − Yuncheng, China weak − Kurume, Japan guilty − Nandyal, India happy − Niiza, Japan happy − Shuangyashan, China happy − Jinin, China happy − Taldikorgan, Kazakstan happy − Juazeiro do Norte, Brazil happy − Shanwei, China confused − Khouribga, Morocco sad − Syktivkar, Russia happy − Kiselevsk, Russia happy − Moji-Guaçu, Brazil happy − Sidi-bel-Abbès, Algeria happy − Reggio di Calabria, Italy happy − Sialkote, Pakistan happy − Xiaocan, China happy − Sao Joao de Meriti, Brazil happy − Basingstoke & Deane, United Kingdom happy − Korla, China strong − Xuchang, China happy − Shaown, China happy − Pórto Velho, Brazil happy − Bihar Sharif, India happy − Alagoinhas, Brazil strong − Nasariya, Iraq happy − Chinhae, Korea, South happy − Salamanca, Mexico strong − Guangshui, China happy − Evpatoriya, Ukraine happy − Dayuan, China happy − Kashihara, Japan happy − Ferraz de Vasconcelos, Brazil happy − Lipetsk, Russia strong − Sirjan, Iran happy − Taiyan, China happy − Calithèa, Greece happy − Durg, India weak − Huaiyin, China happy − Changweon, Korea, South happy − Meizhou, China strong − Sao José do Rio Prêto, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Kadhimain, Iraq happy − Colimas, Mexico happy − Jastrzebie - Zdrój, Poland 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