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
Várzea Grande, Brazil strong +21.5% − Engels, Russia strong +21.7% − Mulhouse, France happy +21.4% − Springfield, United States confused +5.1% − Remscheid, Germany strong +19.6% − Surakarta, Indonesia strong +20.9% − Chungju, Korea, South sad +4.6% − Tacoma, United States confused +20.3% − San Sebastián, Spain confused +24.0% − BISHKEK, Kyrgyzstan weak +8.9% − Giza, Egypt confused +23.8% − Oberhausen, Germany weak +19.1% − Ichikawa, Japan strong +4.5% − Dunfermline, United Kingdom confused +6.9% − Chon Buri, Thailand strong +23.4% − Botou, China strong +24.2% − Kharagpur, India strong +17.6% − Oberhausen, Germany weak +19.1% − Warren, United States strong +22.1% − Mönchengladbach, Germany happy +14.7% − Pohang, Korea, South confused +21.8% − Maiduguri, Nigeria confused +21.6% − Grodno, Belarus sad +19.8% − Mbeya, Tanzania confused +22.8% − Pinar del Río, Cuba confused +18.6% − Ulan-Ude, Russia confused +2.6% − Abeokuta, Nigeria happy +19.5% − Amiens, France confused +22.5% − The Wrekin, United Kingdom happy +23.6% − Tyumen, Russia strong +7.1% − Pocos de Caldas, Brazil strong +24.0% − Nizhnekamsk, Russia confused +21.0% − San Cristóbal, Venezuela weak +18.5% − Paraná, Argentina strong +12.3% − Burgos, Spain strong +19.8% − Anyang, China confused +1.0% − Sikar, India confused +24.6% − Tanga, Tanzania confused +20.3% − Jamalpur, Bangladesh confused +17.7% − Gurgaon, India strong +14.2% − Tegal, Indonesia confused +4.6% − Lisburn, United Kingdom strong +19.9% − Silay, Philippines happy +19.9% − Huntington Beach, United States strong +23.2% − Jhang, Pakistan strong +23.9% − Vallejo, United States confused +21.9% − Tacoma, United States confused +20.3% − Chungju, Korea, South sad +4.6% − Piracicaba, Brazil strong +20.7% − Phoenix, United States strong +11.7% − La Spezia, Italy confused +22.0% − Hamilton, Canada confused +21.0% − Gurgaon, India strong +14.2% − Xichang, China confused +20.3% − Remscheid, Germany strong +19.6% − Tangshan, China weak +22.3% − Zonguldak, Turkey strong +22.9% − Malabon, Philippines happy +23.0% − BRIDGETOWN, Barbados confused +23.8% − Vallejo, United States confused +21.9% − Daxian, China sad +23.8% − Jequié, Brazil strong +5.6% − Ulsan, Korea, South confused +24.5% − Abeokuta, Nigeria happy +19.5% − Tarragona, Spain strong +21.8% − Pegu, Myanmar confused +24.1% − Jhang, Pakistan strong +23.9% − Xichang, China confused +20.3% − Unnao, India weak +18.8% − Chillán, Chile strong +21.7% − Caruaru, Brazil strong +18.6% − Vadakara, India sad +6.6% − Gaya, India strong +23.6% − Susano, Brazil strong +1.7% − Rangpur, Bangladesh happy +24.3% − Botou, China strong +24.2% − Medellín, Colombia strong +21.8% − Ndola, Zambia happy +17.9% − Laval, Canada strong +10.7% − The Wrekin, United Kingdom happy +23.6% − Boksburg, South Africa confused +18.1% − Cangzhou, China confused +17.7% − Ubon Ratchathani, Thailand confused +23.5% − Eastleigh, United Kingdom happy +19.0% − Fresno, United States strong +21.7% − North York, Canada strong +20.2% − PANAMA, Panama strong +3.1% − Baranovichi, Belarus strong +18.5% − Smolensk, Russia happy +17.6% − Pinar del Río, Cuba confused +18.6% − Ubon Ratchathani, Thailand confused +23.5% − Ambala, India happy +21.8% − Fukuoka, Japan weak +13.4% − Waverley, United Kingdom weak +24.4% − Yavatmal, India guilty +24.6% − Engels, Russia strong +21.7% − Raniganj, India confused +23.2% − Regensburg, Germany strong +16.0% − Monywa, Myanmar confused +22.1% − TIRANA, Albania sad +18.7% − Erbil, Iraq strong +20.1% −
Chicago, United States strong -18.5% − San Pablo, Philippines strong -18.3% − Jiamusi, China strong -18.6% − Bareilly, India confused -23.5% − Iseyin, Nigeria happy -22.8% − Tanjung Balai, Indonesia weak -4.9% − Chimbote, Peru strong -22.8% − MONROVIA, Liberia happy -23.4% − Sefton, United Kingdom strong -5.2% − Hampton, United States strong -12.1% − Palakkad, India strong -17.6% − Birmingham, United States confused -22.6% − Floridablanca, Colombia strong -22.9% − San Jose, United States confused -24.0% − Kochi, India strong -24.8% − Amagasaki, Japan happy -24.2% − Nhatrang, Vietnam happy -22.9% − Peshawar, Pakistan strong -24.4% − Fukuyama, Japan strong -22.7% − Sapucaia, Brazil strong -18.8% − Petrópolis, Brazil strong -18.6% − Anand, India strong -3.1% − Magdeburg, Germany strong -23.7% − Ingolstadt, Germany strong -14.9% − Durango, Mexico strong -25.0% − Halifax, Canada strong -19.1% − Gent, Belgium strong -4.2% − Kawachinagano, Japan happy -22.9% − Kitchener, Canada strong -15.2% − Adana, Turkey confused -23.4% − Darlington, United Kingdom strong -24.3% − Jinan, China strong -8.9% − Jersey City, United States strong -23.2% − Leipzig, Germany strong -21.8% − Tampa, United States confused -19.1% − Bridgeport, United States strong -18.9% − Teignbridge, United Kingdom confused -20.2% − NOUMEA, New Caledonia strong -18.8% − Dourados, Brazil strong -1.2% − Sukabumi, Indonesia happy -9.2% − Alexandria, United States strong -11.9% − South Cambridgeshire, United Kingdom strong -17.7% − Brescia, Italy strong -18.6% − Muntinlupa, Philippines strong -19.8% − Rouen, France strong -6.3% − Cochabamba, Bolivia strong -23.2% − Toluca, Mexico confused -22.6% − Quezon City, Philippines strong -4.0% − Richmond, United States confused -21.8% − Geelong, Australia confused -2.1% − Richmond, United States confused -21.8% − Curitiba, Brazil strong -24.8% − Braila, Romania strong -17.5% − Luohe, China happy -22.9% − Queimados, Brazil strong -20.4% − Sergiev Posad, Russia happy -17.8% − Manchester, United Kingdom strong -9.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Mojokerto, Indonesia strong -13.8% − Aguascalientes, Mexico strong -17.6% − Gujrat, Pakistan strong -22.0% − Kisumu, Kenya confused -19.7% − Serra, Brazil strong -5.4% − Batangas, Philippines strong -22.8% − Zaria, Nigeria confused -18.6% − LISBON, Portugal strong -7.5% − Kotte, Sri Lanka confused -1.5% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Yingcheng, China happy -22.9% − Chiba, Japan strong -24.8% − Valencia, Venezuela confused -8.0% − Irving, United States strong -20.4% −
=
Xuchang, China happy − Sirjan, Iran happy − Kashihara, Japan happy − Novocherkassk, Russia happy − Kadhimain, Iraq happy − Mudangiang, China happy − Bihar Sharif, India happy − Soyapango, El Salvador happy − Lipetsk, Russia strong − Niiza, Japan happy − Basingstoke & Deane, United Kingdom happy − Colimas, Mexico happy − Kurume, Japan guilty − Evpatoriya, Ukraine happy − Reggio di Calabria, Italy happy − Chinhae, Korea, South happy − Syktivkar, Russia happy − Changweon, Korea, South happy − Kanhangad, India happy − Chongli, China weak − Yuncheng, China weak − Pórto Velho, Brazil happy − Taian, China confused − Guikong, China happy − Dlepmealow, South Africa happy − Durg, India weak − Al-Rakka, Syrian Arab Republic happy − Korla, China strong − Nasariya, Iraq happy − Taldikorgan, Kazakstan happy − Juazeiro do Norte, Brazil happy − Calithèa, Greece happy − Debrezit, Ethiopia happy − Ferraz de Vasconcelos, Brazil happy − Rubtsovsk, Russia happy − Artux, China happy − Meizhou, China strong − Sialkote, Pakistan happy − Shaown, China happy − San Fernando de Apure, Venezuela strong − Jastrzebie - Zdrój, Poland confused − Nandyal, India happy − Deir El-Zor, Syrian Arab Republic happy − Kiselevsk, Russia happy − Jinin, China happy − Alagoinhas, Brazil strong − Sao Joao de Meriti, Brazil happy − Sao José do Rio Prêto, Brazil happy − Xiaocan, China happy − Khouribga, Morocco sad − Guangshui, China happy − Moji-Guaçu, Brazil happy − Salamanca, Mexico strong − Sidi-bel-Abbès, Algeria happy − Shanwei, China confused − Huaiyin, China happy − Taiyan, China happy − Pinxiang, China happy − Shuangyashan, China happy − Holon, Israel confused − Dayuan, China happy − Angren, Uzbekistan confused
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