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
East Hampshire, United Kingdom confused +19.0% − Vadakara, India sad +6.6% − Thai Nguyen, Vietnam sad +18.1% − Tacoma, United States confused +20.3% − Burgos, Spain strong +19.8% − North York, Canada strong +20.2% − Shaoyang, China weak +21.8% − Yokkaichi, Japan strong +19.6% − Jhang, Pakistan strong +23.9% − Monywa, Myanmar confused +22.1% − Guilin, China strong +3.0% − Eastleigh, United Kingdom happy +19.0% − Caruaru, Brazil strong +18.6% − Regensburg, Germany strong +16.0% − Chon Buri, Thailand strong +23.4% − Pinar del Río, Cuba confused +18.6% − Kofu, Japan confused +20.9% − Hachinohe, Japan strong +21.2% − Guarapuava, Brazil strong +18.9% − Dunfermline, United Kingdom confused +6.9% − Medellín, Colombia strong +21.8% − Lisburn, United Kingdom strong +19.9% − Maiduguri, Nigeria confused +21.6% − Warren, United States strong +22.1% − Gaya, India strong +23.6% − Ichikawa, Japan strong +4.5% − Zonguldak, Turkey strong +22.9% − Surakarta, Indonesia strong +20.9% − Kharagpur, India strong +17.6% − Yao, Japan strong +22.0% − Laval, Canada strong +10.7% − Jequié, Brazil strong +5.6% − Kure, Japan happy +17.9% − Tangshan, China weak +22.3% − Amiens, France confused +22.5% − Vallejo, United States confused +21.9% − Gurgaon, India strong +14.2% − Ambala, India happy +21.8% − Raniganj, India confused +23.2% − The Wrekin, United Kingdom happy +23.6% − Nizhnekamsk, Russia confused +21.0% − ST. GEORGES, Grenada strong +19.2% − Malabon, Philippines happy +23.0% − Cardiff, United Kingdom strong +16.1% − Piracicaba, Brazil strong +20.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Cangzhou, China confused +17.7% − Fukuoka, Japan weak +13.4% − TIRANA, Albania sad +18.7% − Giza, Egypt confused +23.8% − Silay, Philippines happy +19.9% − Engels, Russia strong +21.7% − Smolensk, Russia happy +17.6% − Gurgaon, India strong +14.2% − Paraná, Argentina strong +12.3% − Loudi, China weak +17.8% − Ulsan, Korea, South confused +24.5% − Chungju, Korea, South sad +4.6% − BISHKEK, Kyrgyzstan weak +8.9% − Ubon Ratchathani, Thailand confused +23.5% − Mbeya, Tanzania confused +22.8% − Abeokuta, Nigeria happy +19.5% − Daxian, China sad +23.8% − Jhang, Pakistan strong +23.9% − Waitakere, New Zealand confused +23.5% − Beaumont, United States confused +12.1% − Xichang, China confused +20.3% − Zonguldak, Turkey strong +22.9% − ROAD TOWN, British Virgin Islands confused +22.0% − Fresno, United States strong +21.7% − Vallejo, United States confused +21.9% − Várzea Grande, Brazil strong +21.5% − Diyarbakir, Turkey strong +22.7% − Botou, China strong +24.2% − Remscheid, Germany strong +19.6% − Jamalpur, Bangladesh confused +17.7% − Unnao, India weak +18.8% − Tegal, Indonesia confused +4.6% − Anyang, China confused +1.0% − Tameside, United Kingdom confused +19.1% − The Wrekin, United Kingdom happy +23.6% − Tarragona, Spain strong +21.8% − Lapu-Lapu, Philippines strong +24.6% − Oberhausen, Germany weak +19.1% − Yavatmal, India guilty +24.6% − Boksburg, South Africa confused +18.1% − LA HABANA, Cuba strong +18.2% − Ndola, Zambia happy +17.9% − Pohang, Korea, South confused +21.8% − Xichang, China confused +20.3% − Sikar, India confused +24.6% − La Spezia, Italy confused +22.0% − Abeokuta, Nigeria happy +19.5% − Remscheid, Germany strong +19.6% − Tyumen, Russia strong +7.1% − Phoenix, United States strong +11.7% − Tanga, Tanzania confused +20.3% − Anjo, Japan strong +2.2% − PANAMA, Panama strong +3.1% − Mulhouse, France happy +21.4% − Bobo Dioulasso, Burkina Faso angry +20.4% −
Kochi, India strong -24.8% − Nhatrang, Vietnam happy -22.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Serra, Brazil strong -5.4% − Iseyin, Nigeria happy -22.8% − Tampa, United States confused -19.1% − Amagasaki, Japan happy -24.2% − Sergiev Posad, Russia happy -17.8% − Mojokerto, Indonesia strong -13.8% − Queimados, Brazil strong -20.4% − Jiamusi, China strong -18.6% − Bridgeport, United States strong -18.9% − Kitchener, Canada strong -15.2% − Richmond, United States confused -21.8% − San Pablo, Philippines strong -18.3% − Chimbote, Peru strong -22.8% − LISBON, Portugal strong -7.5% − Cochabamba, Bolivia strong -23.2% − Muntinlupa, Philippines strong -19.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Leipzig, Germany strong -21.8% − Kisumu, Kenya confused -19.7% − Toluca, Mexico confused -22.6% − Manchester, United Kingdom strong -9.2% − Kotte, Sri Lanka confused -1.5% − MONROVIA, Liberia happy -23.4% − Luohe, China happy -22.9% − Ingolstadt, Germany strong -14.9% − Chiba, Japan strong -24.8% − Yingcheng, China happy -22.9% − Fukuyama, Japan strong -22.7% − NOUMEA, New Caledonia strong -18.8% − Palakkad, India strong -17.6% − Chicago, United States strong -18.5% − San Jose, United States confused -24.0% − Sukabumi, Indonesia happy -9.2% − Geelong, Australia confused -2.1% − Teignbridge, United Kingdom confused -20.2% − Magdeburg, Germany strong -23.7% − Zaria, Nigeria confused -18.6% − Adana, Turkey confused -23.4% − Anand, India strong -3.1% − Birmingham, United States confused -22.6% − Curitiba, Brazil strong -24.8% − Darlington, United Kingdom strong -24.3% − Halifax, Canada strong -19.1% − Kawachinagano, Japan happy -22.9% − Quezon City, Philippines strong -4.0% − Sefton, United Kingdom strong -5.2% − Richmond, United States confused -21.8% − Sapucaia, Brazil strong -18.8% − Tanjung Balai, Indonesia weak -4.9% − Irving, United States strong -20.4% − Gent, Belgium strong -4.2% − Valencia, Venezuela confused -8.0% − Jersey City, United States strong -23.2% − Braila, Romania strong -17.5% − Dourados, Brazil strong -1.2% − Gujrat, Pakistan strong -22.0% − Batangas, Philippines strong -22.8% − Petrópolis, Brazil strong -18.6% − Peshawar, Pakistan strong -24.4% − Alexandria, United States strong -11.9% − Rouen, France strong -6.3% − Brescia, Italy strong -18.6% − Hampton, United States strong -12.1% − Bareilly, India confused -23.5% − South Cambridgeshire, United Kingdom strong -17.7% − Jinan, China strong -8.9% − Floridablanca, Colombia strong -22.9% − Durango, Mexico strong -25.0% − Aguascalientes, Mexico strong -17.6% −
=
Debrezit, Ethiopia happy − Xuchang, China happy − Lipetsk, Russia strong − Shanwei, China confused − Sirjan, Iran happy − Colimas, Mexico happy − Jastrzebie - Zdrój, Poland confused − Basingstoke & Deane, United Kingdom happy − Mudangiang, China happy − Kashihara, Japan happy − Nandyal, India happy − Taian, China confused − Sidi-bel-Abbès, Algeria happy − Pórto Velho, Brazil happy − Changweon, Korea, South happy − Guangshui, China happy − San Fernando de Apure, Venezuela strong − Kiselevsk, Russia happy − Evpatoriya, Ukraine happy − Meizhou, China strong − Niiza, Japan happy − Kanhangad, India happy − Jinin, China happy − Sao Joao de Meriti, Brazil happy − Alagoinhas, Brazil strong − Durg, India weak − Shaown, China happy − Xiaocan, China happy − Taiyan, China happy − Dayuan, China happy − Yuncheng, China weak − Guikong, China happy − Salamanca, Mexico strong − Rubtsovsk, Russia happy − Taldikorgan, Kazakstan happy − Artux, China happy − Juazeiro do Norte, Brazil happy − Huaiyin, China happy − Ferraz de Vasconcelos, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Soyapango, El Salvador happy − Shuangyashan, China happy − Moji-Guaçu, Brazil happy − Dlepmealow, South Africa happy − Chongli, China weak − Khouribga, Morocco sad − Pinxiang, China happy − Novocherkassk, Russia happy − Calithèa, Greece happy − Nasariya, Iraq happy − Korla, China strong − Syktivkar, Russia happy − Chinhae, Korea, South happy − Kurume, Japan guilty − Deir El-Zor, Syrian Arab Republic happy − Bihar Sharif, India happy − Sialkote, Pakistan happy − Reggio di Calabria, Italy happy − Sao José do Rio Prêto, Brazil happy − Holon, Israel confused − Angren, Uzbekistan confused − Kadhimain, Iraq 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