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
Boksburg, South Africa confused +18.1% − Zonguldak, Turkey strong +22.9% − Medellín, Colombia strong +21.8% − Anyang, China confused +1.0% − Piracicaba, Brazil strong +20.7% − Abeokuta, Nigeria happy +19.5% − Loudi, China weak +17.8% − Thai Nguyen, Vietnam sad +18.1% − Ulsan, Korea, South confused +24.5% − Erlangen, Germany confused +22.9% − Erbil, Iraq strong +20.1% − Tanga, Tanzania confused +20.3% − Kharagpur, India strong +17.6% − San Sebastián, Spain confused +24.0% − Laval, Canada strong +10.7% − Silay, Philippines happy +19.9% − Engels, Russia strong +21.7% − Chon Buri, Thailand strong +23.4% − Burgos, Spain strong +19.8% − Jequié, Brazil strong +5.6% − Zonguldak, Turkey strong +22.9% − Raniganj, India confused +23.2% − Lisburn, United Kingdom strong +19.9% − Surakarta, Indonesia strong +20.9% − Mbeya, Tanzania confused +22.8% − Oberhausen, Germany weak +19.1% − Xichang, China confused +20.3% − ROAD TOWN, British Virgin Islands confused +22.0% − Gaya, India strong +23.6% − Sikar, India confused +24.6% − Hachinohe, Japan strong +21.2% − PANAMA, Panama strong +3.1% − The Wrekin, United Kingdom happy +23.6% − Ichikawa, Japan strong +4.5% − Tegal, Indonesia confused +4.6% − Mulhouse, France happy +21.4% − Chillán, Chile strong +21.7% − Pegu, Myanmar confused +24.1% − Gurgaon, India strong +14.2% − Waverley, United Kingdom weak +24.4% − Kofu, Japan confused +20.9% − Tangshan, China weak +22.3% − Malabon, Philippines happy +23.0% − Cangzhou, China confused +17.7% − Nizhnekamsk, Russia confused +21.0% − Yavatmal, India guilty +24.6% − Guilin, China strong +3.0% − Sedgemoor, United Kingdom strong +19.3% − Tameside, United Kingdom confused +19.1% − Dunfermline, United Kingdom confused +6.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Ndola, Zambia happy +17.9% − Jamalpur, Bangladesh confused +17.7% − Smolensk, Russia happy +17.6% − Chungju, Korea, South sad +4.6% − Tacoma, United States confused +20.3% − Ubon Ratchathani, Thailand confused +23.5% − Daxian, China sad +23.8% − BISHKEK, Kyrgyzstan weak +8.9% − Várzea Grande, Brazil strong +21.5% − Phoenix, United States strong +11.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − East Hampshire, United Kingdom confused +19.0% − San Cristóbal, Venezuela weak +18.5% − Tyumen, Russia strong +7.1% − Regensburg, Germany strong +16.0% − Pinar del Río, Cuba confused +18.6% − Shaoyang, China weak +21.8% − Gurgaon, India strong +14.2% − Pohang, Korea, South confused +21.8% − Fukuoka, Japan weak +13.4% − Tacoma, United States confused +20.3% − Yokkaichi, Japan strong +19.6% − Xichang, China confused +20.3% − Beaumont, United States confused +12.1% − Eastleigh, United Kingdom happy +19.0% − Amiens, France confused +22.5% − Maiduguri, Nigeria confused +21.6% − The Wrekin, United Kingdom happy +23.6% − Tarragona, Spain strong +21.8% − Arad, Romania strong +11.8% − Pocos de Caldas, Brazil strong +24.0% − Guarapuava, Brazil strong +18.9% − Diyarbakir, Turkey strong +22.7% − Unnao, India weak +18.8% − Baranovichi, Belarus strong +18.5% − Remscheid, Germany strong +19.6% − Chungju, Korea, South sad +4.6% − Hamilton, Canada confused +21.0% − Ubon Ratchathani, Thailand confused +23.5% − Vallejo, United States confused +21.9% − Huntington Beach, United States strong +23.2% − Rangpur, Bangladesh happy +24.3% − Jhang, Pakistan strong +23.9% − Botou, China strong +24.2% − Jhang, Pakistan strong +23.9% − Monywa, Myanmar confused +22.1% − Botou, China strong +24.2% − Warren, United States strong +22.1% − Remscheid, Germany strong +19.6% − Paraná, Argentina strong +12.3% −
Gent, Belgium strong -4.2% − Sukabumi, Indonesia happy -9.2% − Richmond, United States confused -21.8% − Valencia, Venezuela confused -8.0% − Petrópolis, Brazil strong -18.6% − Chimbote, Peru strong -22.8% − Tanjung Balai, Indonesia weak -4.9% − Zaria, Nigeria confused -18.6% − Sefton, United Kingdom strong -5.2% − Birmingham, United States confused -22.6% − Alexandria, United States strong -11.9% − Chicago, United States strong -18.5% − Kisumu, Kenya confused -19.7% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Magdeburg, Germany strong -23.7% − Curitiba, Brazil strong -24.8% − Leipzig, Germany strong -21.8% − Dourados, Brazil strong -1.2% − Cochabamba, Bolivia strong -23.2% − Quezon City, Philippines strong -4.0% − Yingcheng, China happy -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Gujrat, Pakistan strong -22.0% − Kochi, India strong -24.8% − Toluca, Mexico confused -22.6% − Queimados, Brazil strong -20.4% − Braila, Romania strong -17.5% − Kitchener, Canada strong -15.2% − Richmond, United States confused -21.8% − San Jose, United States confused -24.0% − Muntinlupa, Philippines strong -19.8% − Bridgeport, United States strong -18.9% − Nhatrang, Vietnam happy -22.9% − NOUMEA, New Caledonia strong -18.8% − MONROVIA, Liberia happy -23.4% − Aguascalientes, Mexico strong -17.6% − Manchester, United Kingdom strong -9.2% − Sapucaia, Brazil strong -18.8% − Brescia, Italy strong -18.6% − Batangas, Philippines strong -22.8% − Hampton, United States strong -12.1% − Teignbridge, United Kingdom confused -20.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Ingolstadt, Germany strong -14.9% − Geelong, Australia confused -2.1% − Peshawar, Pakistan strong -24.4% − Serra, Brazil strong -5.4% − Kotte, Sri Lanka confused -1.5% − Rouen, France strong -6.3% − Tampa, United States confused -19.1% − Durango, Mexico strong -25.0% − Darlington, United Kingdom strong -24.3% − Chiba, Japan strong -24.8% − Halifax, Canada strong -19.1% − Bareilly, India confused -23.5% − Fukuyama, Japan strong -22.7% − Amagasaki, Japan happy -24.2% − Jinan, China strong -8.9% − Iseyin, Nigeria happy -22.8% − Luohe, China happy -22.9% − Jersey City, United States strong -23.2% − Sergiev Posad, Russia happy -17.8% − LISBON, Portugal strong -7.5% − Palakkad, India strong -17.6% − Anand, India strong -3.1% − Kawachinagano, Japan happy -22.9% − Jiamusi, China strong -18.6% − Mojokerto, Indonesia strong -13.8% − Irving, United States strong -20.4% − Floridablanca, Colombia strong -22.9% − San Pablo, Philippines strong -18.3% − Adana, Turkey confused -23.4% −
=
Artux, China happy − Niiza, Japan happy − Rubtsovsk, Russia happy − Taian, China confused − Al-Rakka, Syrian Arab Republic happy − Xiaocan, China happy − Moji-Guaçu, Brazil happy − Shanwei, China confused − Xuchang, China happy − Salamanca, Mexico strong − Sao José do Rio Prêto, Brazil happy − Alagoinhas, Brazil strong − Calithèa, Greece happy − Huaiyin, China happy − Kashihara, Japan happy − San Fernando de Apure, Venezuela strong − Chongli, China weak − Kiselevsk, Russia happy − Sao Joao de Meriti, Brazil happy − Kadhimain, Iraq happy − Pórto Velho, Brazil happy − Taldikorgan, Kazakstan happy − Bihar Sharif, India happy − Jastrzebie - Zdrój, Poland confused − Lipetsk, Russia strong − Ferraz de Vasconcelos, Brazil happy − Soyapango, El Salvador happy − Deir El-Zor, Syrian Arab Republic happy − Kanhangad, India happy − Guangshui, China happy − Nandyal, India happy − Basingstoke & Deane, United Kingdom happy − Holon, Israel confused − Durg, India weak − Dayuan, China happy − Yuncheng, China weak − Sidi-bel-Abbès, Algeria happy − Nasariya, Iraq happy − Korla, China strong − Khouribga, Morocco sad − Meizhou, China strong − Colimas, Mexico happy − Debrezit, Ethiopia happy − Juazeiro do Norte, Brazil happy − Kurume, Japan guilty − Sialkote, Pakistan happy − Sirjan, Iran happy − Shaown, China happy − Guikong, China happy − Shuangyashan, China happy − Taiyan, China happy − Jinin, China happy − Dlepmealow, South Africa happy − Changweon, Korea, South happy − Angren, Uzbekistan confused − Mudangiang, China happy − Reggio di Calabria, Italy happy − Chinhae, Korea, South happy − Novocherkassk, Russia happy − Syktivkar, Russia happy − Pinxiang, China happy − Evpatoriya, Ukraine 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