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
Hachinohe, Japan strong +21.2% − Jhang, Pakistan strong +23.9% − Eastleigh, United Kingdom happy +19.0% − Thai Nguyen, Vietnam sad +18.1% − Piracicaba, Brazil strong +20.7% − Fresno, United States strong +21.7% − Daxian, China sad +23.8% − Maiduguri, Nigeria confused +21.6% − Malabon, Philippines happy +23.0% − Oberhausen, Germany weak +19.1% − Pocos de Caldas, Brazil strong +24.0% − Dunfermline, United Kingdom confused +6.9% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% − Vallejo, United States confused +21.9% − Surakarta, Indonesia strong +20.9% − Engels, Russia strong +21.7% − Beaumont, United States confused +12.1% − Anyang, China confused +1.0% − Susano, Brazil strong +1.7% − Huntington Beach, United States strong +23.2% − Waitakere, New Zealand confused +23.5% − Vallejo, United States confused +21.9% − Xichang, China confused +20.3% − Caruaru, Brazil strong +18.6% − Arad, Romania strong +11.8% − Tyumen, Russia strong +7.1% − North York, Canada strong +20.2% − Phoenix, United States strong +11.7% − Burgos, Spain strong +19.8% − Nizhnekamsk, Russia confused +21.0% − Xichang, China confused +20.3% − Jhang, Pakistan strong +23.9% − Tameside, United Kingdom confused +19.1% − Mönchengladbach, Germany happy +14.7% − Engels, Russia strong +21.7% − The Wrekin, United Kingdom happy +23.6% − Lapu-Lapu, Philippines strong +24.6% − Cardiff, United Kingdom strong +16.1% − Warren, United States strong +22.1% − BRIDGETOWN, Barbados confused +23.8% − Hamilton, Canada confused +21.0% − Kure, Japan happy +17.9% − Remscheid, Germany strong +19.6% − Bobo Dioulasso, Burkina Faso angry +20.4% − San Cristóbal, Venezuela weak +18.5% − Tangshan, China weak +22.3% − Pegu, Myanmar confused +24.1% − Gurgaon, India strong +14.2% − Yokkaichi, Japan strong +19.6% − Abeokuta, Nigeria happy +19.5% − The Wrekin, United Kingdom happy +23.6% − Zonguldak, Turkey strong +22.9% − Shaoyang, China weak +21.8% − Pohang, Korea, South confused +21.8% − Fukuoka, Japan weak +13.4% − Laval, Canada strong +10.7% − Gurgaon, India strong +14.2% − Baranovichi, Belarus strong +18.5% − Kharagpur, India strong +17.6% − Rangpur, Bangladesh happy +24.3% − Tarragona, Spain strong +21.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Ndola, Zambia happy +17.9% − Unnao, India weak +18.8% − BASSE-TERRE, Guadeloupe strong +24.8% − Ulsan, Korea, South confused +24.5% − Guarapuava, Brazil strong +18.9% − Guilin, China strong +3.0% − Regensburg, Germany strong +16.0% − Sikar, India confused +24.6% − Anjo, Japan strong +2.2% − Jamalpur, Bangladesh confused +17.7% − Jequié, Brazil strong +5.6% − Sedgemoor, United Kingdom strong +19.3% − Raniganj, India confused +23.2% − Mbeya, Tanzania confused +22.8% − BISHKEK, Kyrgyzstan weak +8.9% − Giza, Egypt confused +23.8% − Silay, Philippines happy +19.9% − Chungju, Korea, South sad +4.6% − East Hampshire, United Kingdom confused +19.0% − Ichikawa, Japan strong +4.5% − Vadakara, India sad +6.6% − Chillán, Chile strong +21.7% − Tegal, Indonesia confused +4.6% − Yavatmal, India guilty +24.6% − Springfield, United States confused +5.1% − Kofu, Japan confused +20.9% − LA HABANA, Cuba strong +18.2% − Remscheid, Germany strong +19.6% − Smolensk, Russia happy +17.6% − Diyarbakir, Turkey strong +22.7% − Pinar del Río, Cuba confused +18.6% − ST. GEORGES, Grenada strong +19.2% − Abeokuta, Nigeria happy +19.5% − La Spezia, Italy confused +22.0% − Loudi, China weak +17.8% − Ubon Ratchathani, Thailand confused +23.5% − Erbil, Iraq strong +20.1% − Chon Buri, Thailand strong +23.4% −
Geelong, Australia confused -2.1% − Teignbridge, United Kingdom confused -20.2% − Sapucaia, Brazil strong -18.8% − Kochi, India strong -24.8% − Kitchener, Canada strong -15.2% − LISBON, Portugal strong -7.5% − Bareilly, India confused -23.5% − Fukuyama, Japan strong -22.7% − Jiamusi, China strong -18.6% − Serra, Brazil strong -5.4% − Sergiev Posad, Russia happy -17.8% − Magdeburg, Germany strong -23.7% − Aguascalientes, Mexico strong -17.6% − Petrópolis, Brazil strong -18.6% − Halifax, Canada strong -19.1% − Curitiba, Brazil strong -24.8% − Sukabumi, Indonesia happy -9.2% − Anand, India strong -3.1% − Chimbote, Peru strong -22.8% − Floridablanca, Colombia strong -22.9% − NOUMEA, New Caledonia strong -18.8% − Dourados, Brazil strong -1.2% − Kawachinagano, Japan happy -22.9% − Jersey City, United States strong -23.2% − Nhatrang, Vietnam happy -22.9% − Quezon City, Philippines strong -4.0% − Durango, Mexico strong -25.0% − Irving, United States strong -20.4% − Tampa, United States confused -19.1% − Iseyin, Nigeria happy -22.8% − Mojokerto, Indonesia strong -13.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Peshawar, Pakistan strong -24.4% − Palakkad, India strong -17.6% − Queimados, Brazil strong -20.4% − Ingolstadt, Germany strong -14.9% − Adana, Turkey confused -23.4% − Hampton, United States strong -12.1% − Tanjung Balai, Indonesia weak -4.9% − Zaria, Nigeria confused -18.6% − Darlington, United Kingdom strong -24.3% − Brescia, Italy strong -18.6% − San Pablo, Philippines strong -18.3% − Leipzig, Germany strong -21.8% − Manchester, United Kingdom strong -9.2% − South Cambridgeshire, United Kingdom strong -17.7% − San Jose, United States confused -24.0% − Sefton, United Kingdom strong -5.2% − Richmond, United States confused -21.8% − Chicago, United States strong -18.5% − Alexandria, United States strong -11.9% − Valencia, Venezuela confused -8.0% − Muntinlupa, Philippines strong -19.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Bridgeport, United States strong -18.9% − Jinan, China strong -8.9% − MONROVIA, Liberia happy -23.4% − Birmingham, United States confused -22.6% − Braila, Romania strong -17.5% − Richmond, United States confused -21.8% − Rouen, France strong -6.3% − Luohe, China happy -22.9% − Chiba, Japan strong -24.8% − Kotte, Sri Lanka confused -1.5% − Cochabamba, Bolivia strong -23.2% − Amagasaki, Japan happy -24.2% − Gujrat, Pakistan strong -22.0% − Gent, Belgium strong -4.2% − Batangas, Philippines strong -22.8% − Kisumu, Kenya confused -19.7% − Yingcheng, China happy -22.9% − Toluca, Mexico confused -22.6% −
=
Korla, China strong − Chinhae, Korea, South happy − Niiza, Japan happy − Jastrzebie - Zdrój, Poland confused − Deir El-Zor, Syrian Arab Republic happy − Khouribga, Morocco sad − Changweon, Korea, South happy − Lipetsk, Russia strong − Kadhimain, Iraq happy − Shuangyashan, China happy − Taian, China confused − Debrezit, Ethiopia happy − Holon, Israel confused − Novocherkassk, Russia happy − Meizhou, China strong − Dlepmealow, South Africa happy − Sao Joao de Meriti, Brazil happy − Pórto Velho, Brazil happy − Alagoinhas, Brazil strong − Taldikorgan, Kazakstan happy − Yuncheng, China weak − Jinin, China happy − San Fernando de Apure, Venezuela strong − Juazeiro do Norte, Brazil happy − Salamanca, Mexico strong − Dayuan, China happy − Kiselevsk, Russia happy − Kashihara, Japan happy − Guangshui, China happy − Al-Rakka, Syrian Arab Republic happy − Huaiyin, China happy − Nandyal, India happy − Sialkote, Pakistan happy − Mudangiang, China happy − Kanhangad, India happy − Ferraz de Vasconcelos, Brazil happy − Xiaocan, China happy − Artux, China happy − Bihar Sharif, India happy − Pinxiang, China happy − Reggio di Calabria, Italy happy − Nasariya, Iraq happy − Guikong, China happy − Chongli, China weak − Evpatoriya, Ukraine happy − Kurume, Japan guilty − Shanwei, China confused − Moji-Guaçu, Brazil happy − Soyapango, El Salvador happy − Colimas, Mexico happy − Taiyan, China happy − Rubtsovsk, Russia happy − Shaown, China happy − Angren, Uzbekistan confused − Durg, India weak − Xuchang, China happy − Syktivkar, Russia happy − Sidi-bel-Abbès, Algeria happy − Sao José do Rio Prêto, Brazil happy − Sirjan, Iran happy − Calithèa, Greece happy − Basingstoke & Deane, United Kingdom 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