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
Burgos, Spain strong +19.8% − Chon Buri, Thailand strong +23.4% − Paraná, Argentina strong +12.3% − Jamalpur, Bangladesh confused +17.7% − Remscheid, Germany strong +19.6% − Fukuoka, Japan weak +13.4% − Abeokuta, Nigeria happy +19.5% − Dunfermline, United Kingdom confused +6.9% − Medellín, Colombia strong +21.8% − Tangshan, China weak +22.3% − Warren, United States strong +22.1% − Rangpur, Bangladesh happy +24.3% − Maiduguri, Nigeria confused +21.6% − Ndola, Zambia happy +17.9% − Unnao, India weak +18.8% − Piracicaba, Brazil strong +20.7% − Thai Nguyen, Vietnam sad +18.1% − Hachinohe, Japan strong +21.2% − Raniganj, India confused +23.2% − Oberhausen, Germany weak +19.1% − Surakarta, Indonesia strong +20.9% − Botou, China strong +24.2% − Gurgaon, India strong +14.2% − Erlangen, Germany confused +22.9% − Engels, Russia strong +21.7% − Várzea Grande, Brazil strong +21.5% − Yao, Japan strong +22.0% − Diyarbakir, Turkey strong +22.7% − Tarragona, Spain strong +21.8% − North York, Canada strong +20.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Shaoyang, China weak +21.8% − TIRANA, Albania sad +18.7% − Kharagpur, India strong +17.6% − Ulsan, Korea, South confused +24.5% − Sedgemoor, United Kingdom strong +19.3% − Ambala, India happy +21.8% − Tyumen, Russia strong +7.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Kure, Japan happy +17.9% − Kofu, Japan confused +20.9% − Cangzhou, China confused +17.7% − Jhang, Pakistan strong +23.9% − The Wrekin, United Kingdom happy +23.6% − Mönchengladbach, Germany happy +14.7% − Waverley, United Kingdom weak +24.4% − San Sebastián, Spain confused +24.0% − Laval, Canada strong +10.7% − Sikar, India confused +24.6% − Grodno, Belarus sad +19.8% − Arad, Romania strong +11.8% − Amiens, France confused +22.5% − Jequié, Brazil strong +5.6% − Huntington Beach, United States strong +23.2% − Zonguldak, Turkey strong +22.9% − Yavatmal, India guilty +24.6% − Tacoma, United States confused +20.3% − San Cristóbal, Venezuela weak +18.5% − Vallejo, United States confused +21.9% − Cardiff, United Kingdom strong +16.1% − Monywa, Myanmar confused +22.1% − Vallejo, United States confused +21.9% − Smolensk, Russia happy +17.6% − Remscheid, Germany strong +19.6% − Fresno, United States strong +21.7% − La Spezia, Italy confused +22.0% − Boksburg, South Africa confused +18.1% − Susano, Brazil strong +1.7% − Silay, Philippines happy +19.9% − Waitakere, New Zealand confused +23.5% − Loudi, China weak +17.8% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% − BRIDGETOWN, Barbados confused +23.8% − Zonguldak, Turkey strong +22.9% − Abeokuta, Nigeria happy +19.5% − Yokkaichi, Japan strong +19.6% − PANAMA, Panama strong +3.1% − Tameside, United Kingdom confused +19.1% − BISHKEK, Kyrgyzstan weak +8.9% − Oberhausen, Germany weak +19.1% − Giza, Egypt confused +23.8% − Baranovichi, Belarus strong +18.5% − Eastleigh, United Kingdom happy +19.0% − Daxian, China sad +23.8% − Phoenix, United States strong +11.7% − Ichikawa, Japan strong +4.5% − Chillán, Chile strong +21.7% − Guilin, China strong +3.0% − Guarapuava, Brazil strong +18.9% − Gurgaon, India strong +14.2% − Springfield, United States confused +5.1% − Ulan-Ude, Russia confused +2.6% − Mulhouse, France happy +21.4% − LA HABANA, Cuba strong +18.2% − ST. GEORGES, Grenada strong +19.2% − Pegu, Myanmar confused +24.1% − Erbil, Iraq strong +20.1% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Anjo, Japan strong +2.2% − Caruaru, Brazil strong +18.6% −
Luohe, China happy -22.9% − Bareilly, India confused -23.5% − Alexandria, United States strong -11.9% − Chimbote, Peru strong -22.8% − Durango, Mexico strong -25.0% − NOUMEA, New Caledonia strong -18.8% − Braila, Romania strong -17.5% − Bridgeport, United States strong -18.9% − Aguascalientes, Mexico strong -17.6% − Jiamusi, China strong -18.6% − Chicago, United States strong -18.5% − Ingolstadt, Germany strong -14.9% − Richmond, United States confused -21.8% − Zaria, Nigeria confused -18.6% − Leipzig, Germany strong -21.8% − Palakkad, India strong -17.6% − Adana, Turkey confused -23.4% − Tampa, United States confused -19.1% − Nhatrang, Vietnam happy -22.9% − Darlington, United Kingdom strong -24.3% − Curitiba, Brazil strong -24.8% − Manchester, United Kingdom strong -9.2% − Gent, Belgium strong -4.2% − Kisumu, Kenya confused -19.7% − South Cambridgeshire, United Kingdom strong -17.7% − Tanjung Balai, Indonesia weak -4.9% − Queimados, Brazil strong -20.4% − San Pablo, Philippines strong -18.3% − Fukuyama, Japan strong -22.7% − Gujrat, Pakistan strong -22.0% − Brescia, Italy strong -18.6% − Birmingham, United States confused -22.6% − Sefton, United Kingdom strong -5.2% − Anand, India strong -3.1% − Muntinlupa, Philippines strong -19.8% − Rouen, France strong -6.3% − Floridablanca, Colombia strong -22.9% − Sukabumi, Indonesia happy -9.2% − Jinan, China strong -8.9% − Chiba, Japan strong -24.8% − Mojokerto, Indonesia strong -13.8% − Dourados, Brazil strong -1.2% − Hampton, United States strong -12.1% − Sergiev Posad, Russia happy -17.8% − Amagasaki, Japan happy -24.2% − Iseyin, Nigeria happy -22.8% − Geelong, Australia confused -2.1% − Peshawar, Pakistan strong -24.4% − Cochabamba, Bolivia strong -23.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Kitchener, Canada strong -15.2% − Quezon City, Philippines strong -4.0% − Richmond, United States confused -21.8% − Kawachinagano, Japan happy -22.9% − Magdeburg, Germany strong -23.7% − Halifax, Canada strong -19.1% − Kotte, Sri Lanka confused -1.5% − Valencia, Venezuela confused -8.0% − MONROVIA, Liberia happy -23.4% − Petrópolis, Brazil strong -18.6% − San Jose, United States confused -24.0% − Yingcheng, China happy -22.9% − Jersey City, United States strong -23.2% − Batangas, Philippines strong -22.8% − Kochi, India strong -24.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Serra, Brazil strong -5.4% − Teignbridge, United Kingdom confused -20.2% − LISBON, Portugal strong -7.5% − Sapucaia, Brazil strong -18.8% − Irving, United States strong -20.4% − Toluca, Mexico confused -22.6% −
=
Chongli, China weak − Pórto Velho, Brazil happy − Colimas, Mexico happy − Rubtsovsk, Russia happy − Sialkote, Pakistan happy − Xuchang, China happy − Juazeiro do Norte, Brazil happy − Taian, China confused − Durg, India weak − Nandyal, India happy − Kiselevsk, Russia happy − Mudangiang, China happy − Khouribga, Morocco sad − Syktivkar, Russia happy − Debrezit, Ethiopia happy − Guangshui, China happy − Niiza, Japan happy − Guikong, China happy − Taiyan, China happy − Shaown, China happy − Changweon, Korea, South happy − Kurume, Japan guilty − Xiaocan, China happy − Evpatoriya, Ukraine happy − Reggio di Calabria, Italy happy − Shanwei, China confused − Shuangyashan, China happy − Jinin, China happy − Meizhou, China strong − Artux, China happy − Sirjan, Iran happy − Salamanca, Mexico strong − Lipetsk, Russia strong − Nasariya, Iraq happy − Chinhae, Korea, South happy − Ferraz de Vasconcelos, Brazil happy − Deir El-Zor, Syrian Arab Republic happy − Sao José do Rio Prêto, Brazil happy − Jastrzebie - Zdrój, Poland confused − Dayuan, China happy − Holon, Israel confused − Alagoinhas, Brazil strong − Calithèa, Greece happy − Soyapango, El Salvador happy − San Fernando de Apure, Venezuela strong − Bihar Sharif, India happy − Kashihara, Japan happy − Yuncheng, China weak − Pinxiang, China happy − Sidi-bel-Abbès, Algeria happy − Dlepmealow, South Africa happy − Moji-Guaçu, Brazil happy − Angren, Uzbekistan confused − Kanhangad, India happy − Taldikorgan, Kazakstan happy − Korla, China strong − Huaiyin, China happy − Sao Joao de Meriti, Brazil happy − Basingstoke & Deane, United Kingdom happy − Novocherkassk, Russia happy − Kadhimain, Iraq happy − Al-Rakka, Syrian Arab Republic 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