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
Arad, Romania strong +11.8% − Warren, United States strong +22.1% − Xichang, China confused +20.3% − Engels, Russia strong +21.7% − Mulhouse, France happy +21.4% − Jequié, Brazil strong +5.6% − Unnao, India weak +18.8% − Chon Buri, Thailand strong +23.4% − Remscheid, Germany strong +19.6% − Grodno, Belarus sad +19.8% − Giza, Egypt confused +23.8% − Vallejo, United States confused +21.9% − ST. GEORGES, Grenada strong +19.2% − Mönchengladbach, Germany happy +14.7% − Ambala, India happy +21.8% − Surakarta, Indonesia strong +20.9% − Thai Nguyen, Vietnam sad +18.1% − Gaya, India strong +23.6% − San Sebastián, Spain confused +24.0% − Lisburn, United Kingdom strong +19.9% − Burgos, Spain strong +19.8% − Paraná, Argentina strong +12.3% − Diyarbakir, Turkey strong +22.7% − Abeokuta, Nigeria happy +19.5% − Vallejo, United States confused +21.9% − Pohang, Korea, South confused +21.8% − East Hampshire, United Kingdom confused +19.0% − Smolensk, Russia happy +17.6% − Ulan-Ude, Russia confused +2.6% − Tacoma, United States confused +20.3% − BISHKEK, Kyrgyzstan weak +8.9% − PANAMA, Panama strong +3.1% − Chungju, Korea, South sad +4.6% − Baranovichi, Belarus strong +18.5% − Cangzhou, China confused +17.7% − Oberhausen, Germany weak +19.1% − Tangshan, China weak +22.3% − Várzea Grande, Brazil strong +21.5% − Rangpur, Bangladesh happy +24.3% − Vadakara, India sad +6.6% − Shaoyang, China weak +21.8% − Amiens, France confused +22.5% − Jhang, Pakistan strong +23.9% − Ichikawa, Japan strong +4.5% − Yao, Japan strong +22.0% − Eastleigh, United Kingdom happy +19.0% − Loudi, China weak +17.8% − Susano, Brazil strong +1.7% − The Wrekin, United Kingdom happy +23.6% − Erlangen, Germany confused +22.9% − Waverley, United Kingdom weak +24.4% − Maiduguri, Nigeria confused +21.6% − Zonguldak, Turkey strong +22.9% − Nizhnekamsk, Russia confused +21.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Hamilton, Canada confused +21.0% − Tarragona, Spain strong +21.8% − Beaumont, United States confused +12.1% − Tyumen, Russia strong +7.1% − Pocos de Caldas, Brazil strong +24.0% − Jamalpur, Bangladesh confused +17.7% − Phoenix, United States strong +11.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Hachinohe, Japan strong +21.2% − Botou, China strong +24.2% − Remscheid, Germany strong +19.6% − La Spezia, Italy confused +22.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − Chungju, Korea, South sad +4.6% − Botou, China strong +24.2% − Engels, Russia strong +21.7% − Sedgemoor, United Kingdom strong +19.3% − Pinar del Río, Cuba confused +18.6% − Huntington Beach, United States strong +23.2% − Tacoma, United States confused +20.3% − Springfield, United States confused +5.1% − Gurgaon, India strong +14.2% − Daxian, China sad +23.8% − Pegu, Myanmar confused +24.1% − Kharagpur, India strong +17.6% − TIRANA, Albania sad +18.7% − Regensburg, Germany strong +16.0% − Guilin, China strong +3.0% − Yavatmal, India guilty +24.6% − Medellín, Colombia strong +21.8% − North York, Canada strong +20.2% − Dunfermline, United Kingdom confused +6.9% − Abeokuta, Nigeria happy +19.5% − Erbil, Iraq strong +20.1% − San Cristóbal, Venezuela weak +18.5% − Chillán, Chile strong +21.7% − BASSE-TERRE, Guadeloupe strong +24.8% − Raniganj, India confused +23.2% − The Wrekin, United Kingdom happy +23.6% − Ubon Ratchathani, Thailand confused +23.5% − Piracicaba, Brazil strong +20.7% − Ubon Ratchathani, Thailand confused +23.5% − Caruaru, Brazil strong +18.6% − Sikar, India confused +24.6% − Anyang, China confused +1.0% − Lapu-Lapu, Philippines strong +24.6% −
Serra, Brazil strong -5.4% − Luohe, China happy -22.9% − Richmond, United States confused -21.8% − Cochabamba, Bolivia strong -23.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Zaria, Nigeria confused -18.6% − Fukuyama, Japan strong -22.7% − Aguascalientes, Mexico strong -17.6% − Leipzig, Germany strong -21.8% − Teignbridge, United Kingdom confused -20.2% − Amagasaki, Japan happy -24.2% − Queimados, Brazil strong -20.4% − Crewe & Nantwich, United Kingdom strong -17.6% − Chicago, United States strong -18.5% − Kitchener, Canada strong -15.2% − Kotte, Sri Lanka confused -1.5% − Birmingham, United States confused -22.6% − Palakkad, India strong -17.6% − Sefton, United Kingdom strong -5.2% − Sapucaia, Brazil strong -18.8% − Batangas, Philippines strong -22.8% − Rouen, France strong -6.3% − Brescia, Italy strong -18.6% − LISBON, Portugal strong -7.5% − Jinan, China strong -8.9% − Petrópolis, Brazil strong -18.6% − Bridgeport, United States strong -18.9% − Peshawar, Pakistan strong -24.4% − Magdeburg, Germany strong -23.7% − Valencia, Venezuela confused -8.0% − Chiba, Japan strong -24.8% − Kochi, India strong -24.8% − Sukabumi, Indonesia happy -9.2% − Durango, Mexico strong -25.0% − Quezon City, Philippines strong -4.0% − San Pablo, Philippines strong -18.3% − Toluca, Mexico confused -22.6% − Alexandria, United States strong -11.9% − Yingcheng, China happy -22.9% − NOUMEA, New Caledonia strong -18.8% − Adana, Turkey confused -23.4% − Bareilly, India confused -23.5% − Mojokerto, Indonesia strong -13.8% − Kisumu, Kenya confused -19.7% − Richmond, United States confused -21.8% − Manchester, United Kingdom strong -9.2% − Dourados, Brazil strong -1.2% − Gent, Belgium strong -4.2% − MONROVIA, Liberia happy -23.4% − Curitiba, Brazil strong -24.8% − Iseyin, Nigeria happy -22.8% − South Cambridgeshire, United Kingdom strong -17.7% − Anand, India strong -3.1% − San Jose, United States confused -24.0% − Braila, Romania strong -17.5% − Jersey City, United States strong -23.2% − Chimbote, Peru strong -22.8% − Nhatrang, Vietnam happy -22.9% − Irving, United States strong -20.4% − Tampa, United States confused -19.1% − Ingolstadt, Germany strong -14.9% − Muntinlupa, Philippines strong -19.8% − Gujrat, Pakistan strong -22.0% − Tanjung Balai, Indonesia weak -4.9% − Kawachinagano, Japan happy -22.9% − Halifax, Canada strong -19.1% − Floridablanca, Colombia strong -22.9% − Hampton, United States strong -12.1% − Jiamusi, China strong -18.6% − Geelong, Australia confused -2.1% − Darlington, United Kingdom strong -24.3% − Sergiev Posad, Russia happy -17.8% −
=
San Fernando de Apure, Venezuela strong − Kanhangad, India happy − Shanwei, China confused − Sirjan, Iran happy − Sao Joao de Meriti, Brazil happy − Juazeiro do Norte, Brazil happy − Kadhimain, Iraq happy − Mudangiang, China happy − Guikong, China happy − Rubtsovsk, Russia happy − Ferraz de Vasconcelos, Brazil happy − Nasariya, Iraq happy − Huaiyin, China happy − Kashihara, Japan happy − Khouribga, Morocco sad − Sidi-bel-Abbès, Algeria happy − Shuangyashan, China happy − Reggio di Calabria, Italy happy − Taiyan, China happy − Deir El-Zor, Syrian Arab Republic happy − Taian, China confused − Guangshui, China happy − Yuncheng, China weak − Angren, Uzbekistan confused − Chinhae, Korea, South happy − Al-Rakka, Syrian Arab Republic happy − Bihar Sharif, India happy − Lipetsk, Russia strong − Pórto Velho, Brazil happy − Xiaocan, China happy − Dlepmealow, South Africa happy − Holon, Israel confused − Artux, China happy − Alagoinhas, Brazil strong − Moji-Guaçu, Brazil happy − Colimas, Mexico happy − Chongli, China weak − Nandyal, India happy − Durg, India weak − Calithèa, Greece happy − Sialkote, Pakistan happy − Taldikorgan, Kazakstan happy − Niiza, Japan happy − Kiselevsk, Russia happy − Sao José do Rio Prêto, Brazil happy − Syktivkar, Russia happy − Dayuan, China happy − Debrezit, Ethiopia happy − Meizhou, China strong − Novocherkassk, Russia happy − Changweon, Korea, South happy − Basingstoke & Deane, United Kingdom happy − Evpatoriya, Ukraine happy − Xuchang, China happy − Jinin, China happy − Soyapango, El Salvador happy − Jastrzebie - Zdrój, Poland confused − Pinxiang, China happy − Salamanca, Mexico strong − Shaown, China happy − Kurume, Japan guilty − Korla, China strong
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