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% − Bobo Dioulasso, Burkina Faso angry +20.4% − Smolensk, Russia happy +17.6% − Pegu, Myanmar confused +24.1% − Jhang, Pakistan strong +23.9% − Boksburg, South Africa confused +18.1% − Botou, China strong +24.2% − Monywa, Myanmar confused +22.1% − Fresno, United States strong +21.7% − Xichang, China confused +20.3% − LA HABANA, Cuba strong +18.2% − Jhang, Pakistan strong +23.9% − Cardiff, United Kingdom strong +16.1% − Lisburn, United Kingdom strong +19.9% − Beaumont, United States confused +12.1% − Tangshan, China weak +22.3% − Tarragona, Spain strong +21.8% − Engels, Russia strong +21.7% − Oberhausen, Germany weak +19.1% − Waitakere, New Zealand confused +23.5% − BISHKEK, Kyrgyzstan weak +8.9% − Xichang, China confused +20.3% − Várzea Grande, Brazil strong +21.5% − Hachinohe, Japan strong +21.2% − Susano, Brazil strong +1.7% − Phoenix, United States strong +11.7% − Jamalpur, Bangladesh confused +17.7% − Giza, Egypt confused +23.8% − Ubon Ratchathani, Thailand confused +23.5% − Guilin, China strong +3.0% − Grodno, Belarus sad +19.8% − Rangpur, Bangladesh happy +24.3% − Dunfermline, United Kingdom confused +6.9% − Mulhouse, France happy +21.4% − Botou, China strong +24.2% − The Wrekin, United Kingdom happy +23.6% − Hamilton, Canada confused +21.0% − Gaya, India strong +23.6% − Mönchengladbach, Germany happy +14.7% − BRIDGETOWN, Barbados confused +23.8% − Huntington Beach, United States strong +23.2% − Engels, Russia strong +21.7% − ST. GEORGES, Grenada strong +19.2% − Tacoma, United States confused +20.3% − Baranovichi, Belarus strong +18.5% − Gurgaon, India strong +14.2% − Pinar del Río, Cuba confused +18.6% − Loudi, China weak +17.8% − Erlangen, Germany confused +22.9% − Regensburg, Germany strong +16.0% − Arad, Romania strong +11.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Raniganj, India confused +23.2% − Piracicaba, Brazil strong +20.7% − Yokkaichi, Japan strong +19.6% − Yao, Japan strong +22.0% − Anjo, Japan strong +2.2% − Abeokuta, Nigeria happy +19.5% − Guarapuava, Brazil strong +18.9% − Silay, Philippines happy +19.9% − Warren, United States strong +22.1% − Paraná, Argentina strong +12.3% − Malabon, Philippines happy +23.0% − Diyarbakir, Turkey strong +22.7% − Zonguldak, Turkey strong +22.9% − Daxian, China sad +23.8% − ROAD TOWN, British Virgin Islands confused +22.0% − Sikar, India confused +24.6% − North York, Canada strong +20.2% − Zonguldak, Turkey strong +22.9% − Unnao, India weak +18.8% − Ambala, India happy +21.8% − PANAMA, Panama strong +3.1% − Chillán, Chile strong +21.7% − Ulsan, Korea, South confused +24.5% − Fukuoka, Japan weak +13.4% − Surakarta, Indonesia strong +20.9% − Vadakara, India sad +6.6% − The Wrekin, United Kingdom happy +23.6% − Nizhnekamsk, Russia confused +21.0% − Chungju, Korea, South sad +4.6% − Cangzhou, China confused +17.7% − Kure, Japan happy +17.9% − Anyang, China confused +1.0% − Vallejo, United States confused +21.9% − Ubon Ratchathani, Thailand confused +23.5% − Pinar del Río, Cuba confused +18.6% − Eastleigh, United Kingdom happy +19.0% − Ulan-Ude, Russia confused +2.6% − Vallejo, United States confused +21.9% − Amiens, France confused +22.5% − Yavatmal, India guilty +24.6% − Waverley, United Kingdom weak +24.4% − Oberhausen, Germany weak +19.1% − Remscheid, Germany strong +19.6% − Lapu-Lapu, Philippines strong +24.6% − Chon Buri, Thailand strong +23.4% − Springfield, United States confused +5.1% − Shaoyang, China weak +21.8% − San Cristóbal, Venezuela weak +18.5% − Erbil, Iraq strong +20.1% −
Jinan, China strong -8.9% − Braila, Romania strong -17.5% − Queimados, Brazil strong -20.4% − Richmond, United States confused -21.8% − LISBON, Portugal strong -7.5% − Crewe & Nantwich, United Kingdom strong -17.6% − Yingcheng, China happy -22.9% − Darlington, United Kingdom strong -24.3% − Chiba, Japan strong -24.8% − Adana, Turkey confused -23.4% − Kawachinagano, Japan happy -22.9% − Bridgeport, United States strong -18.9% − Hampton, United States strong -12.1% − Dourados, Brazil strong -1.2% − Teignbridge, United Kingdom confused -20.2% − Luohe, China happy -22.9% − Kisumu, Kenya confused -19.7% − Gujrat, Pakistan strong -22.0% − South Cambridgeshire, United Kingdom strong -17.7% − Magdeburg, Germany strong -23.7% − Aguascalientes, Mexico strong -17.6% − Sapucaia, Brazil strong -18.8% − Jiamusi, China strong -18.6% − Toluca, Mexico confused -22.6% − Geelong, Australia confused -2.1% − Amagasaki, Japan happy -24.2% − Fukuyama, Japan strong -22.7% − Manchester, United Kingdom strong -9.2% − Rouen, France strong -6.3% − Curitiba, Brazil strong -24.8% − Anand, India strong -3.1% − Alexandria, United States strong -11.9% − Chicago, United States strong -18.5% − Irving, United States strong -20.4% − Floridablanca, Colombia strong -22.9% − Leipzig, Germany strong -21.8% − San Jose, United States confused -24.0% − Kochi, India strong -24.8% − Birmingham, United States confused -22.6% − Serra, Brazil strong -5.4% − Richmond, United States confused -21.8% − San Pablo, Philippines strong -18.3% − Jersey City, United States strong -23.2% − Batangas, Philippines strong -22.8% − Mojokerto, Indonesia strong -13.8% − Iseyin, Nigeria happy -22.8% − Durango, Mexico strong -25.0% − Sukabumi, Indonesia happy -9.2% − Halifax, Canada strong -19.1% − Cochabamba, Bolivia strong -23.2% − Petrópolis, Brazil strong -18.6% − Bareilly, India confused -23.5% − Sergiev Posad, Russia happy -17.8% − Chimbote, Peru strong -22.8% − Sefton, United Kingdom strong -5.2% − Tanjung Balai, Indonesia weak -4.9% − Nhatrang, Vietnam happy -22.9% − Gent, Belgium strong -4.2% − Ingolstadt, Germany strong -14.9% − Quezon City, Philippines strong -4.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Peshawar, Pakistan strong -24.4% − Kotte, Sri Lanka confused -1.5% − Muntinlupa, Philippines strong -19.8% − Valencia, Venezuela confused -8.0% − MONROVIA, Liberia happy -23.4% − Brescia, Italy strong -18.6% − NOUMEA, New Caledonia strong -18.8% − Palakkad, India strong -17.6% − Tampa, United States confused -19.1% − Zaria, Nigeria confused -18.6% − Kitchener, Canada strong -15.2% −
=
Sidi-bel-Abbès, Algeria happy − Taiyan, China happy − Lipetsk, Russia strong − Shanwei, China confused − Basingstoke & Deane, United Kingdom happy − Soyapango, El Salvador happy − Jinin, China happy − Korla, China strong − Evpatoriya, Ukraine happy − Moji-Guaçu, Brazil happy − Kadhimain, Iraq happy − Kurume, Japan guilty − Artux, China happy − Alagoinhas, Brazil strong − Calithèa, Greece happy − Kiselevsk, Russia happy − Jastrzebie - Zdrój, Poland confused − Bihar Sharif, India happy − Ferraz de Vasconcelos, Brazil happy − Angren, Uzbekistan confused − Sirjan, Iran happy − Changweon, Korea, South happy − Colimas, Mexico happy − Chongli, China weak − Syktivkar, Russia happy − Shuangyashan, China happy − Debrezit, Ethiopia happy − Holon, Israel confused − Rubtsovsk, Russia happy − Taldikorgan, Kazakstan happy − Guangshui, China happy − Xiaocan, China happy − Shaown, China happy − Huaiyin, China happy − Nasariya, Iraq happy − Chinhae, Korea, South happy − Xuchang, China happy − Deir El-Zor, Syrian Arab Republic happy − Meizhou, China strong − Al-Rakka, Syrian Arab Republic happy − Kashihara, Japan happy − Mudangiang, China happy − San Fernando de Apure, Venezuela strong − Nandyal, India happy − Sialkote, Pakistan happy − Khouribga, Morocco sad − Taian, China confused − Novocherkassk, Russia happy − Sao Joao de Meriti, Brazil happy − Pórto Velho, Brazil happy − Juazeiro do Norte, Brazil happy − Niiza, Japan happy − Durg, India weak − Dayuan, China happy − Kanhangad, India happy − Dlepmealow, South Africa happy − Sao José do Rio Prêto, Brazil happy − Salamanca, Mexico strong − Guikong, China happy − Yuncheng, China weak − Pinxiang, China happy − Reggio di Calabria, Italy 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