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
Regensburg, Germany strong +16.0% − Anjo, Japan strong +2.2% − Waitakere, New Zealand confused +23.5% − Gaya, India strong +23.6% − Xichang, China confused +20.3% − Medellín, Colombia strong +21.8% − Ulan-Ude, Russia confused +2.6% − Ubon Ratchathani, Thailand confused +23.5% − The Wrekin, United Kingdom happy +23.6% − Dunfermline, United Kingdom confused +6.9% − Jhang, Pakistan strong +23.9% − Loudi, China weak +17.8% − East Hampshire, United Kingdom confused +19.0% − Rangpur, Bangladesh happy +24.3% − San Cristóbal, Venezuela weak +18.5% − Susano, Brazil strong +1.7% − Springfield, United States confused +5.1% − Arad, Romania strong +11.8% − Chillán, Chile strong +21.7% − Jequié, Brazil strong +5.6% − Chungju, Korea, South sad +4.6% − LA HABANA, Cuba strong +18.2% − Waverley, United Kingdom weak +24.4% − Yavatmal, India guilty +24.6% − Vallejo, United States confused +21.9% − Raniganj, India confused +23.2% − Pocos de Caldas, Brazil strong +24.0% − Abeokuta, Nigeria happy +19.5% − Fresno, United States strong +21.7% − Sedgemoor, United Kingdom strong +19.3% − BISHKEK, Kyrgyzstan weak +8.9% − Vallejo, United States confused +21.9% − Pinar del Río, Cuba confused +18.6% − Remscheid, Germany strong +19.6% − TIRANA, Albania sad +18.7% − Abeokuta, Nigeria happy +19.5% − Pinar del Río, Cuba confused +18.6% − Jamalpur, Bangladesh confused +17.7% − Tacoma, United States confused +20.3% − Warren, United States strong +22.1% − Paraná, Argentina strong +12.3% − Gurgaon, India strong +14.2% − Daxian, China sad +23.8% − Shaoyang, China weak +21.8% − Vadakara, India sad +6.6% − Hachinohe, Japan strong +21.2% − Phoenix, United States strong +11.7% − Engels, Russia strong +21.7% − Ambala, India happy +21.8% − La Spezia, Italy confused +22.0% − Kure, Japan happy +17.9% − Thai Nguyen, Vietnam sad +18.1% − Erlangen, Germany confused +22.9% − Tegal, Indonesia confused +4.6% − Baranovichi, Belarus strong +18.5% − Ichikawa, Japan strong +4.5% − Zonguldak, Turkey strong +22.9% − Mönchengladbach, Germany happy +14.7% − Tanga, Tanzania confused +20.3% − Lapu-Lapu, Philippines strong +24.6% − Sikar, India confused +24.6% − Engels, Russia strong +21.7% − Pegu, Myanmar confused +24.1% − Surakarta, Indonesia strong +20.9% − The Wrekin, United Kingdom happy +23.6% − Tangshan, China weak +22.3% − Tarragona, Spain strong +21.8% − Pohang, Korea, South confused +21.8% − Eastleigh, United Kingdom happy +19.0% − Xichang, China confused +20.3% − Burgos, Spain strong +19.8% − Fukuoka, Japan weak +13.4% − Jhang, Pakistan strong +23.9% − PANAMA, Panama strong +3.1% − Caruaru, Brazil strong +18.6% − Chungju, Korea, South sad +4.6% − Kofu, Japan confused +20.9% − Piracicaba, Brazil strong +20.7% − Smolensk, Russia happy +17.6% − Botou, China strong +24.2% − Chon Buri, Thailand strong +23.4% − Monywa, Myanmar confused +22.1% − Oberhausen, Germany weak +19.1% − Unnao, India weak +18.8% − Botou, China strong +24.2% − Nizhnekamsk, Russia confused +21.0% − Silay, Philippines happy +19.9% − ST. GEORGES, Grenada strong +19.2% − North York, Canada strong +20.2% − Hamilton, Canada confused +21.0% − Guarapuava, Brazil strong +18.9% − Huntington Beach, United States strong +23.2% − Yao, Japan strong +22.0% − Ulsan, Korea, South confused +24.5% − Grodno, Belarus sad +19.8% − Guilin, China strong +3.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Zonguldak, Turkey strong +22.9% − Yokkaichi, Japan strong +19.6% − Remscheid, Germany strong +19.6% − Malabon, Philippines happy +23.0% −
Anand, India strong -3.1% − Jinan, China strong -8.9% − NOUMEA, New Caledonia strong -18.8% − Leipzig, Germany strong -21.8% − Chimbote, Peru strong -22.8% − San Pablo, Philippines strong -18.3% − Palakkad, India strong -17.6% − Durango, Mexico strong -25.0% − Jersey City, United States strong -23.2% − Batangas, Philippines strong -22.8% − Gent, Belgium strong -4.2% − Kisumu, Kenya confused -19.7% − Muntinlupa, Philippines strong -19.8% − South Cambridgeshire, United Kingdom strong -17.7% − Rouen, France strong -6.3% − Gujrat, Pakistan strong -22.0% − Yingcheng, China happy -22.9% − Tampa, United States confused -19.1% − Kitchener, Canada strong -15.2% − Mojokerto, Indonesia strong -13.8% − Hampton, United States strong -12.1% − Birmingham, United States confused -22.6% − Zaria, Nigeria confused -18.6% − Jiamusi, China strong -18.6% − Petrópolis, Brazil strong -18.6% − Sukabumi, Indonesia happy -9.2% − Irving, United States strong -20.4% − Sefton, United Kingdom strong -5.2% − Toluca, Mexico confused -22.6% − Halifax, Canada strong -19.1% − Bridgeport, United States strong -18.9% − Geelong, Australia confused -2.1% − Valencia, Venezuela confused -8.0% − Tanjung Balai, Indonesia weak -4.9% − Amagasaki, Japan happy -24.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Peshawar, Pakistan strong -24.4% − Quezon City, Philippines strong -4.0% − Dourados, Brazil strong -1.2% − Magdeburg, Germany strong -23.7% − Luohe, China happy -22.9% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Kawachinagano, Japan happy -22.9% − Chicago, United States strong -18.5% − Nhatrang, Vietnam happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Curitiba, Brazil strong -24.8% − Braila, Romania strong -17.5% − Adana, Turkey confused -23.4% − Fukuyama, Japan strong -22.7% − MONROVIA, Liberia happy -23.4% − Kotte, Sri Lanka confused -1.5% − LISBON, Portugal strong -7.5% − Iseyin, Nigeria happy -22.8% − Chiba, Japan strong -24.8% − Sergiev Posad, Russia happy -17.8% − Floridablanca, Colombia strong -22.9% − Darlington, United Kingdom strong -24.3% − Brescia, Italy strong -18.6% − Aguascalientes, Mexico strong -17.6% − Alexandria, United States strong -11.9% − San Jose, United States confused -24.0% − Kochi, India strong -24.8% − Cochabamba, Bolivia strong -23.2% − Manchester, United Kingdom strong -9.2% − Sapucaia, Brazil strong -18.8% − Bareilly, India confused -23.5% − Richmond, United States confused -21.8% − Ingolstadt, Germany strong -14.9% − Queimados, Brazil strong -20.4% − Serra, Brazil strong -5.4% −
=
Lipetsk, Russia strong − Guangshui, China happy − Xiaocan, China happy − Sao Joao de Meriti, Brazil happy − Durg, India weak − Kashihara, Japan happy − Evpatoriya, Ukraine happy − Moji-Guaçu, Brazil happy − Mudangiang, China happy − Sidi-bel-Abbès, Algeria happy − Pinxiang, China happy − Shaown, China happy − Salamanca, Mexico strong − Yuncheng, China weak − Sao José do Rio Prêto, Brazil happy − Meizhou, China strong − Syktivkar, Russia happy − Dayuan, China happy − Deir El-Zor, Syrian Arab Republic happy − Holon, Israel confused − Chinhae, Korea, South happy − Jinin, China happy − Novocherkassk, Russia happy − Sirjan, Iran happy − Nasariya, Iraq happy − Colimas, Mexico happy − Xuchang, China happy − Taian, China confused − Korla, China strong − Taldikorgan, Kazakstan happy − Debrezit, Ethiopia happy − Dlepmealow, South Africa happy − Kurume, Japan guilty − Angren, Uzbekistan confused − Sialkote, Pakistan happy − Khouribga, Morocco sad − Niiza, Japan happy − Guikong, China happy − Shuangyashan, China happy − Calithèa, Greece happy − San Fernando de Apure, Venezuela strong − Chongli, China weak − Basingstoke & Deane, United Kingdom happy − Jastrzebie - Zdrój, Poland confused − Ferraz de Vasconcelos, Brazil happy − Kadhimain, Iraq happy − Huaiyin, China happy − Alagoinhas, Brazil strong − Soyapango, El Salvador happy − Bihar Sharif, India happy − Taiyan, China happy − Changweon, Korea, South happy − Artux, China happy − Reggio di Calabria, Italy happy − Pórto Velho, Brazil happy − Nandyal, India happy − Al-Rakka, Syrian Arab Republic happy − Kiselevsk, Russia happy − Rubtsovsk, Russia happy − Kanhangad, India happy − Juazeiro do Norte, Brazil happy − Shanwei, China 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