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
Guilin, China strong +3.0% − Chillán, Chile strong +21.7% − Phoenix, United States strong +11.7% − Xichang, China confused +20.3% − Arad, Romania strong +11.8% − Springfield, United States confused +5.1% − Warren, United States strong +22.1% − BRIDGETOWN, Barbados confused +23.8% − Piracicaba, Brazil strong +20.7% − Pinar del Río, Cuba confused +18.6% − Remscheid, Germany strong +19.6% − Paraná, Argentina strong +12.3% − Giza, Egypt confused +23.8% − TIRANA, Albania sad +18.7% − Pegu, Myanmar confused +24.1% − Mönchengladbach, Germany happy +14.7% − Botou, China strong +24.2% − Waverley, United Kingdom weak +24.4% − Sikar, India confused +24.6% − Baranovichi, Belarus strong +18.5% − ROAD TOWN, British Virgin Islands confused +22.0% − Erlangen, Germany confused +22.9% − Cardiff, United Kingdom strong +16.1% − Rangpur, Bangladesh happy +24.3% − Thai Nguyen, Vietnam sad +18.1% − Pohang, Korea, South confused +21.8% − Tarragona, Spain strong +21.8% − Sedgemoor, United Kingdom strong +19.3% − Vadakara, India sad +6.6% − Erbil, Iraq strong +20.1% − Fukuoka, Japan weak +13.4% − Silay, Philippines happy +19.9% − Zonguldak, Turkey strong +22.9% − Yokkaichi, Japan strong +19.6% − Tangshan, China weak +22.3% − BISHKEK, Kyrgyzstan weak +8.9% − Guarapuava, Brazil strong +18.9% − Abeokuta, Nigeria happy +19.5% − LA HABANA, Cuba strong +18.2% − Ambala, India happy +21.8% − Tyumen, Russia strong +7.1% − Várzea Grande, Brazil strong +21.5% − Vallejo, United States confused +21.9% − Waitakere, New Zealand confused +23.5% − Remscheid, Germany strong +19.6% − Maiduguri, Nigeria confused +21.6% − Grodno, Belarus sad +19.8% − Gaya, India strong +23.6% − Xichang, China confused +20.3% − Lapu-Lapu, Philippines strong +24.6% − Daxian, China sad +23.8% − Caruaru, Brazil strong +18.6% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − East Hampshire, United Kingdom confused +19.0% − Jequié, Brazil strong +5.6% − Beaumont, United States confused +12.1% − Anyang, China confused +1.0% − Shaoyang, China weak +21.8% − Jhang, Pakistan strong +23.9% − Ndola, Zambia happy +17.9% − Kharagpur, India strong +17.6% − Ichikawa, Japan strong +4.5% − Mbeya, Tanzania confused +22.8% − Pinar del Río, Cuba confused +18.6% − Ulsan, Korea, South confused +24.5% − Ubon Ratchathani, Thailand confused +23.5% − Chungju, Korea, South sad +4.6% − Chon Buri, Thailand strong +23.4% − North York, Canada strong +20.2% − Huntington Beach, United States strong +23.2% − Loudi, China weak +17.8% − Burgos, Spain strong +19.8% − Kure, Japan happy +17.9% − Tameside, United Kingdom confused +19.1% − Anjo, Japan strong +2.2% − Diyarbakir, Turkey strong +22.7% − Tacoma, United States confused +20.3% − Oberhausen, Germany weak +19.1% − Pocos de Caldas, Brazil strong +24.0% − Tacoma, United States confused +20.3% − Medellín, Colombia strong +21.8% − Hamilton, Canada confused +21.0% − PANAMA, Panama strong +3.1% − San Cristóbal, Venezuela weak +18.5% − Gurgaon, India strong +14.2% − Fresno, United States strong +21.7% − Cangzhou, China confused +17.7% − Kofu, Japan confused +20.9% − Mulhouse, France happy +21.4% − BASSE-TERRE, Guadeloupe strong +24.8% − Unnao, India weak +18.8% − Lisburn, United Kingdom strong +19.9% − Chungju, Korea, South sad +4.6% − Eastleigh, United Kingdom happy +19.0% − Jamalpur, Bangladesh confused +17.7% − Ubon Ratchathani, Thailand confused +23.5% − Yavatmal, India guilty +24.6% − Engels, Russia strong +21.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Raniganj, India confused +23.2% − Ulan-Ude, Russia confused +2.6% −
Toluca, Mexico confused -22.6% − Gujrat, Pakistan strong -22.0% − Irving, United States strong -20.4% − Richmond, United States confused -21.8% − Kitchener, Canada strong -15.2% − Batangas, Philippines strong -22.8% − Jinan, China strong -8.9% − Kawachinagano, Japan happy -22.9% − Kotte, Sri Lanka confused -1.5% − Geelong, Australia confused -2.1% − San Pablo, Philippines strong -18.3% − Tanjung Balai, Indonesia weak -4.9% − Dourados, Brazil strong -1.2% − Jiamusi, China strong -18.6% − Anand, India strong -3.1% − South Cambridgeshire, United Kingdom strong -17.7% − Kisumu, Kenya confused -19.7% − San Jose, United States confused -24.0% − Tampa, United States confused -19.1% − LISBON, Portugal strong -7.5% − Valencia, Venezuela confused -8.0% − Petrópolis, Brazil strong -18.6% − Peshawar, Pakistan strong -24.4% − Aguascalientes, Mexico strong -17.6% − Curitiba, Brazil strong -24.8% − Leipzig, Germany strong -21.8% − Braila, Romania strong -17.5% − Mojokerto, Indonesia strong -13.8% − Fukuyama, Japan strong -22.7% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Jersey City, United States strong -23.2% − Halifax, Canada strong -19.1% − Kochi, India strong -24.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Rouen, France strong -6.3% − Manchester, United Kingdom strong -9.2% − Hampton, United States strong -12.1% − Magdeburg, Germany strong -23.7% − Brescia, Italy strong -18.6% − Ingolstadt, Germany strong -14.9% − Sapucaia, Brazil strong -18.8% − Teignbridge, United Kingdom confused -20.2% − Gent, Belgium strong -4.2% − NOUMEA, New Caledonia strong -18.8% − Chicago, United States strong -18.5% − Darlington, United Kingdom strong -24.3% − Muntinlupa, Philippines strong -19.8% − Zaria, Nigeria confused -18.6% − MONROVIA, Liberia happy -23.4% − Luohe, China happy -22.9% − Amagasaki, Japan happy -24.2% − Birmingham, United States confused -22.6% − Bareilly, India confused -23.5% − Queimados, Brazil strong -20.4% − Sefton, United Kingdom strong -5.2% − Nhatrang, Vietnam happy -22.9% − Chiba, Japan strong -24.8% − Richmond, United States confused -21.8% − Chimbote, Peru strong -22.8% − Palakkad, India strong -17.6% − Quezon City, Philippines strong -4.0% − Yingcheng, China happy -22.9% − Durango, Mexico strong -25.0% − Serra, Brazil strong -5.4% − Iseyin, Nigeria happy -22.8% − Adana, Turkey confused -23.4% − Alexandria, United States strong -11.9% − Bridgeport, United States strong -18.9% − Sergiev Posad, Russia happy -17.8% − Floridablanca, Colombia strong -22.9% − Cochabamba, Bolivia strong -23.2% − Sukabumi, Indonesia happy -9.2% −
=
Chongli, China weak − Sao Joao de Meriti, Brazil happy − Kashihara, Japan happy − Dlepmealow, South Africa happy − Korla, China strong − Taian, China confused − Novocherkassk, Russia happy − Calithèa, Greece happy − Khouribga, Morocco sad − Kanhangad, India happy − Shaown, China happy − Durg, India weak − Soyapango, El Salvador happy − Nandyal, India happy − Mudangiang, China happy − Salamanca, Mexico strong − Pórto Velho, Brazil happy − Moji-Guaçu, Brazil happy − Yuncheng, China weak − Meizhou, China strong − Dayuan, China happy − Jastrzebie - Zdrój, Poland confused − Xiaocan, China happy − Angren, Uzbekistan confused − Kurume, Japan guilty − Niiza, Japan happy − Artux, China happy − Guangshui, China happy − Taldikorgan, Kazakstan happy − Evpatoriya, Ukraine happy − Huaiyin, China happy − Pinxiang, China happy − Holon, Israel confused − Syktivkar, Russia happy − Alagoinhas, Brazil strong − Rubtsovsk, Russia happy − Reggio di Calabria, Italy happy − Shanwei, China confused − Sirjan, Iran happy − Deir El-Zor, Syrian Arab Republic happy − Basingstoke & Deane, United Kingdom happy − Lipetsk, Russia strong − Juazeiro do Norte, Brazil happy − Shuangyashan, China happy − Sao José do Rio Prêto, Brazil happy − Xuchang, China happy − Sialkote, Pakistan happy − San Fernando de Apure, Venezuela strong − Debrezit, Ethiopia happy − Kadhimain, Iraq happy − Nasariya, Iraq happy − Chinhae, Korea, South happy − Bihar Sharif, India happy − Taiyan, China happy − Changweon, Korea, South happy − Kiselevsk, Russia happy − Ferraz de Vasconcelos, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Sidi-bel-Abbès, Algeria happy − Guikong, China happy − Colimas, Mexico happy − Jinin, China 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