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
Raniganj, India confused +23.2% − Engels, Russia strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − Engels, Russia strong +21.7% − San Sebastián, Spain confused +24.0% − Lisburn, United Kingdom strong +19.9% − Arad, Romania strong +11.8% − Shaoyang, China weak +21.8% − Vallejo, United States confused +21.9% − Maiduguri, Nigeria confused +21.6% − Baranovichi, Belarus strong +18.5% − The Wrekin, United Kingdom happy +23.6% − Ambala, India happy +21.8% − Tyumen, Russia strong +7.1% − Xichang, China confused +20.3% − Guilin, China strong +3.0% − Yokkaichi, Japan strong +19.6% − Abeokuta, Nigeria happy +19.5% − Anyang, China confused +1.0% − Ubon Ratchathani, Thailand confused +23.5% − Kharagpur, India strong +17.6% − Guarapuava, Brazil strong +18.9% − Zonguldak, Turkey strong +22.9% − Unnao, India weak +18.8% − Kofu, Japan confused +20.9% − Hachinohe, Japan strong +21.2% − Fukuoka, Japan weak +13.4% − Tegal, Indonesia confused +4.6% − Surakarta, Indonesia strong +20.9% − Cardiff, United Kingdom strong +16.1% − Pinar del Río, Cuba confused +18.6% − Kure, Japan happy +17.9% − Dunfermline, United Kingdom confused +6.9% − Remscheid, Germany strong +19.6% − Springfield, United States confused +5.1% − Pocos de Caldas, Brazil strong +24.0% − Jamalpur, Bangladesh confused +17.7% − Vallejo, United States confused +21.9% − Chon Buri, Thailand strong +23.4% − Susano, Brazil strong +1.7% − Piracicaba, Brazil strong +20.7% − Tacoma, United States confused +20.3% − Gaya, India strong +23.6% − Mönchengladbach, Germany happy +14.7% − Regensburg, Germany strong +16.0% − Eastleigh, United Kingdom happy +19.0% − BISHKEK, Kyrgyzstan weak +8.9% − Oberhausen, Germany weak +19.1% − Chillán, Chile strong +21.7% − Tanga, Tanzania confused +20.3% − Bobo Dioulasso, Burkina Faso angry +20.4% − LA HABANA, Cuba strong +18.2% − Sedgemoor, United Kingdom strong +19.3% − Waitakere, New Zealand confused +23.5% − Medellín, Colombia strong +21.8% − Smolensk, Russia happy +17.6% − Pohang, Korea, South confused +21.8% − Giza, Egypt confused +23.8% − Sikar, India confused +24.6% − Jhang, Pakistan strong +23.9% − BASSE-TERRE, Guadeloupe strong +24.8% − Thai Nguyen, Vietnam sad +18.1% − Diyarbakir, Turkey strong +22.7% − Fresno, United States strong +21.7% − Tacoma, United States confused +20.3% − Ulsan, Korea, South confused +24.5% − PANAMA, Panama strong +3.1% − Grodno, Belarus sad +19.8% − Malabon, Philippines happy +23.0% − Cangzhou, China confused +17.7% − ROAD TOWN, British Virgin Islands confused +22.0% − Pinar del Río, Cuba confused +18.6% − Chungju, Korea, South sad +4.6% − Tameside, United Kingdom confused +19.1% − Erbil, Iraq strong +20.1% − North York, Canada strong +20.2% − BRIDGETOWN, Barbados confused +23.8% − Mbeya, Tanzania confused +22.8% − Abeokuta, Nigeria happy +19.5% − Jequié, Brazil strong +5.6% − The Wrekin, United Kingdom happy +23.6% − Silay, Philippines happy +19.9% − Zonguldak, Turkey strong +22.9% − Mulhouse, France happy +21.4% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Oberhausen, Germany weak +19.1% − Phoenix, United States strong +11.7% − Paraná, Argentina strong +12.3% − Yavatmal, India guilty +24.6% − Botou, China strong +24.2% − Warren, United States strong +22.1% − Botou, China strong +24.2% − San Cristóbal, Venezuela weak +18.5% − Gurgaon, India strong +14.2% − Amiens, France confused +22.5% − Lapu-Lapu, Philippines strong +24.6% − Yao, Japan strong +22.0% − Anjo, Japan strong +2.2% − Burgos, Spain strong +19.8% − Boksburg, South Africa confused +18.1% − Remscheid, Germany strong +19.6% −
Sapucaia, Brazil strong -18.8% − Rouen, France strong -6.3% − Richmond, United States confused -21.8% − Sergiev Posad, Russia happy -17.8% − Peshawar, Pakistan strong -24.4% − Zaria, Nigeria confused -18.6% − Durango, Mexico strong -25.0% − LISBON, Portugal strong -7.5% − Aguascalientes, Mexico strong -17.6% − San Jose, United States confused -24.0% − Crewe & Nantwich, United Kingdom strong -17.6% − Ingolstadt, Germany strong -14.9% − Alexandria, United States strong -11.9% − Kitchener, Canada strong -15.2% − Kawachinagano, Japan happy -22.9% − Manchester, United Kingdom strong -9.2% − NOUMEA, New Caledonia strong -18.8% − Chimbote, Peru strong -22.8% − Gujrat, Pakistan strong -22.0% − Jinan, China strong -8.9% − Kisumu, Kenya confused -19.7% − Brescia, Italy strong -18.6% − Sukabumi, Indonesia happy -9.2% − Irving, United States strong -20.4% − Kochi, India strong -24.8% − Braila, Romania strong -17.5% − Chiba, Japan strong -24.8% − Dourados, Brazil strong -1.2% − Muntinlupa, Philippines strong -19.8% − Bridgeport, United States strong -18.9% − San Pablo, Philippines strong -18.3% − Yingcheng, China happy -22.9% − Petrópolis, Brazil strong -18.6% − Tanjung Balai, Indonesia weak -4.9% − Anand, India strong -3.1% − Geelong, Australia confused -2.1% − Batangas, Philippines strong -22.8% − Hampton, United States strong -12.1% − Valencia, Venezuela confused -8.0% − Iseyin, Nigeria happy -22.8% − Toluca, Mexico confused -22.6% − Sefton, United Kingdom strong -5.2% − Teignbridge, United Kingdom confused -20.2% − Cochabamba, Bolivia strong -23.2% − Tampa, United States confused -19.1% − Richmond, United States confused -21.8% − Fukuyama, Japan strong -22.7% − Mojokerto, Indonesia strong -13.8% − Darlington, United Kingdom strong -24.3% − South Cambridgeshire, United Kingdom strong -17.7% − MONROVIA, Liberia happy -23.4% − Bareilly, India confused -23.5% − Magdeburg, Germany strong -23.7% − Halifax, Canada strong -19.1% − Serra, Brazil strong -5.4% − Palakkad, India strong -17.6% − Leipzig, Germany strong -21.8% − Chicago, United States strong -18.5% − Adana, Turkey confused -23.4% − Quezon City, Philippines strong -4.0% − Gent, Belgium strong -4.2% − Jiamusi, China strong -18.6% − Amagasaki, Japan happy -24.2% − Floridablanca, Colombia strong -22.9% − Jersey City, United States strong -23.2% − Nhatrang, Vietnam happy -22.9% − Birmingham, United States confused -22.6% − Luohe, China happy -22.9% − Curitiba, Brazil strong -24.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Queimados, Brazil strong -20.4% − Kotte, Sri Lanka confused -1.5% −
=
Chongli, China weak − Shuangyashan, China happy − Soyapango, El Salvador happy − Sao José do Rio Prêto, Brazil happy − Shanwei, China confused − Taldikorgan, Kazakstan happy − Rubtsovsk, Russia happy − Reggio di Calabria, Italy happy − Bihar Sharif, India happy − Taiyan, China happy − Colimas, Mexico happy − Mudangiang, China happy − Debrezit, Ethiopia happy − Yuncheng, China weak − Taian, China confused − Niiza, Japan happy − Xuchang, China happy − Kurume, Japan guilty − Kashihara, Japan happy − Durg, India weak − Sialkote, Pakistan happy − Nandyal, India happy − Syktivkar, Russia happy − Novocherkassk, Russia happy − Juazeiro do Norte, Brazil happy − Sidi-bel-Abbès, Algeria happy − Al-Rakka, Syrian Arab Republic happy − Korla, China strong − Moji-Guaçu, Brazil happy − Evpatoriya, Ukraine happy − Pórto Velho, Brazil happy − Kiselevsk, Russia happy − Angren, Uzbekistan confused − Jastrzebie - Zdrój, Poland confused − Xiaocan, China happy − Deir El-Zor, Syrian Arab Republic happy − Lipetsk, Russia strong − Guikong, China happy − Kadhimain, Iraq happy − Guangshui, China happy − Dayuan, China happy − Khouribga, Morocco sad − Dlepmealow, South Africa happy − Shaown, China happy − Holon, Israel confused − Artux, China happy − Sao Joao de Meriti, Brazil happy − Pinxiang, China happy − Meizhou, China strong − Jinin, China happy − Salamanca, Mexico strong − San Fernando de Apure, Venezuela strong − Chinhae, Korea, South happy − Nasariya, Iraq happy − Basingstoke & Deane, United Kingdom happy − Sirjan, Iran happy − Changweon, Korea, South happy − Calithèa, Greece happy − Ferraz de Vasconcelos, Brazil happy − Alagoinhas, Brazil strong − Kanhangad, India happy − Huaiyin, 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