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
Engels, Russia strong +21.7% − Waitakere, New Zealand confused +23.5% − Amiens, France confused +22.5% − Gurgaon, India strong +14.2% − Malabon, Philippines happy +23.0% − Susano, Brazil strong +1.7% − Chungju, Korea, South sad +4.6% − Zonguldak, Turkey strong +22.9% − BISHKEK, Kyrgyzstan weak +8.9% − Pinar del Río, Cuba confused +18.6% − Abeokuta, Nigeria happy +19.5% − Jhang, Pakistan strong +23.9% − Sikar, India confused +24.6% − Silay, Philippines happy +19.9% − Laval, Canada strong +10.7% − Pohang, Korea, South confused +21.8% − Paraná, Argentina strong +12.3% − Caruaru, Brazil strong +18.6% − Smolensk, Russia happy +17.6% − Waverley, United Kingdom weak +24.4% − Oberhausen, Germany weak +19.1% − Fukuoka, Japan weak +13.4% − Rangpur, Bangladesh happy +24.3% − Oberhausen, Germany weak +19.1% − Gaya, India strong +23.6% − Cangzhou, China confused +17.7% − LA HABANA, Cuba strong +18.2% − Tanga, Tanzania confused +20.3% − Lisburn, United Kingdom strong +19.9% − Tarragona, Spain strong +21.8% − Lapu-Lapu, Philippines strong +24.6% − Thai Nguyen, Vietnam sad +18.1% − ST. GEORGES, Grenada strong +19.2% − Tangshan, China weak +22.3% − Jequié, Brazil strong +5.6% − Phoenix, United States strong +11.7% − Warren, United States strong +22.1% − Mulhouse, France happy +21.4% − Burgos, Spain strong +19.8% − Mönchengladbach, Germany happy +14.7% − Hamilton, Canada confused +21.0% − Kharagpur, India strong +17.6% − North York, Canada strong +20.2% − San Cristóbal, Venezuela weak +18.5% − Erbil, Iraq strong +20.1% − Maiduguri, Nigeria confused +21.6% − Gurgaon, India strong +14.2% − San Sebastián, Spain confused +24.0% − Regensburg, Germany strong +16.0% − Ubon Ratchathani, Thailand confused +23.5% − Unnao, India weak +18.8% − Jhang, Pakistan strong +23.9% − Remscheid, Germany strong +19.6% − Giza, Egypt confused +23.8% − ROAD TOWN, British Virgin Islands confused +22.0% − TIRANA, Albania sad +18.7% − Chillán, Chile strong +21.7% − Hachinohe, Japan strong +21.2% − PANAMA, Panama strong +3.1% − Huntington Beach, United States strong +23.2% − The Wrekin, United Kingdom happy +23.6% − Pegu, Myanmar confused +24.1% − Diyarbakir, Turkey strong +22.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Remscheid, Germany strong +19.6% − Ulan-Ude, Russia confused +2.6% − Cardiff, United Kingdom strong +16.1% − Várzea Grande, Brazil strong +21.5% − Abeokuta, Nigeria happy +19.5% − Surakarta, Indonesia strong +20.9% − Anjo, Japan strong +2.2% − Vadakara, India sad +6.6% − Sedgemoor, United Kingdom strong +19.3% − Yokkaichi, Japan strong +19.6% − Piracicaba, Brazil strong +20.7% − Botou, China strong +24.2% − Yavatmal, India guilty +24.6% − Mbeya, Tanzania confused +22.8% − Springfield, United States confused +5.1% − Ndola, Zambia happy +17.9% − BASSE-TERRE, Guadeloupe strong +24.8% − Tacoma, United States confused +20.3% − Xichang, China confused +20.3% − Daxian, China sad +23.8% − Tameside, United Kingdom confused +19.1% − Jamalpur, Bangladesh confused +17.7% − Ubon Ratchathani, Thailand confused +23.5% − Botou, China strong +24.2% − Ambala, India happy +21.8% − Ichikawa, Japan strong +4.5% − Xichang, China confused +20.3% − Arad, Romania strong +11.8% − Chungju, Korea, South sad +4.6% − Grodno, Belarus sad +19.8% − Tacoma, United States confused +20.3% − Raniganj, India confused +23.2% − Tegal, Indonesia confused +4.6% − Tyumen, Russia strong +7.1% − Medellín, Colombia strong +21.8% − Fresno, United States strong +21.7% − La Spezia, Italy confused +22.0% −
Iseyin, Nigeria happy -22.8% − Valencia, Venezuela confused -8.0% − Birmingham, United States confused -22.6% − Tanjung Balai, Indonesia weak -4.9% − Bareilly, India confused -23.5% − Batangas, Philippines strong -22.8% − Dourados, Brazil strong -1.2% − Ingolstadt, Germany strong -14.9% − Gent, Belgium strong -4.2% − Aguascalientes, Mexico strong -17.6% − Sukabumi, Indonesia happy -9.2% − Toluca, Mexico confused -22.6% − Geelong, Australia confused -2.1% − Mojokerto, Indonesia strong -13.8% − Braila, Romania strong -17.5% − Sergiev Posad, Russia happy -17.8% − Bridgeport, United States strong -18.9% − Brescia, Italy strong -18.6% − Manchester, United Kingdom strong -9.2% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Teignbridge, United Kingdom confused -20.2% − Alexandria, United States strong -11.9% − Jinan, China strong -8.9% − Floridablanca, Colombia strong -22.9% − Sefton, United Kingdom strong -5.2% − Fukuyama, Japan strong -22.7% − Anand, India strong -3.1% − San Pablo, Philippines strong -18.3% − Serra, Brazil strong -5.4% − Nhatrang, Vietnam happy -22.9% − Adana, Turkey confused -23.4% − Yingcheng, China happy -22.9% − Luohe, China happy -22.9% − Richmond, United States confused -21.8% − Curitiba, Brazil strong -24.8% − San Jose, United States confused -24.0% − Chimbote, Peru strong -22.8% − Magdeburg, Germany strong -23.7% − Kawachinagano, Japan happy -22.9% − Cochabamba, Bolivia strong -23.2% − Leipzig, Germany strong -21.8% − Muntinlupa, Philippines strong -19.8% − Hampton, United States strong -12.1% − Petrópolis, Brazil strong -18.6% − Peshawar, Pakistan strong -24.4% − LISBON, Portugal strong -7.5% − Darlington, United Kingdom strong -24.3% − Rouen, France strong -6.3% − Chiba, Japan strong -24.8% − South Cambridgeshire, United Kingdom strong -17.7% − Kochi, India strong -24.8% − Kisumu, Kenya confused -19.7% − Zaria, Nigeria confused -18.6% − MONROVIA, Liberia happy -23.4% − Jersey City, United States strong -23.2% − Halifax, Canada strong -19.1% − Tampa, United States confused -19.1% − Irving, United States strong -20.4% − Kotte, Sri Lanka confused -1.5% − Kitchener, Canada strong -15.2% − Sapucaia, Brazil strong -18.8% − Gujrat, Pakistan strong -22.0% − Durango, Mexico strong -25.0% − Chicago, United States strong -18.5% − Amagasaki, Japan happy -24.2% − Jiamusi, China strong -18.6% − Palakkad, India strong -17.6% − Queimados, Brazil strong -20.4% − NOUMEA, New Caledonia strong -18.8% − Quezon City, Philippines strong -4.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% −
=
Taian, China confused − Syktivkar, Russia happy − Reggio di Calabria, Italy happy − Soyapango, El Salvador happy − Sialkote, Pakistan happy − Huaiyin, China happy − Changweon, Korea, South happy − Sao José do Rio Prêto, Brazil happy − Xiaocan, China happy − Al-Rakka, Syrian Arab Republic happy − Novocherkassk, Russia happy − Juazeiro do Norte, Brazil happy − Pórto Velho, Brazil happy − Dlepmealow, South Africa happy − Shanwei, China confused − Lipetsk, Russia strong − Pinxiang, China happy − Xuchang, China happy − Guangshui, China happy − Basingstoke & Deane, United Kingdom happy − Korla, China strong − Angren, Uzbekistan confused − Kadhimain, Iraq happy − Deir El-Zor, Syrian Arab Republic happy − Nandyal, India happy − Durg, India weak − Sidi-bel-Abbès, Algeria happy − Ferraz de Vasconcelos, Brazil happy − Taldikorgan, Kazakstan happy − Moji-Guaçu, Brazil happy − Mudangiang, China happy − Salamanca, Mexico strong − Yuncheng, China weak − Kiselevsk, Russia happy − Chinhae, Korea, South happy − Dayuan, China happy − Evpatoriya, Ukraine happy − Chongli, China weak − Colimas, Mexico happy − Shuangyashan, China happy − Bihar Sharif, India happy − Sao Joao de Meriti, Brazil happy − Debrezit, Ethiopia happy − Niiza, Japan happy − Jastrzebie - Zdrój, Poland confused − Shaown, China happy − Khouribga, Morocco sad − Artux, China happy − Nasariya, Iraq happy − Holon, Israel confused − Sirjan, Iran happy − Calithèa, Greece happy − Meizhou, China strong − Kurume, Japan guilty − San Fernando de Apure, Venezuela strong − Taiyan, China happy − Guikong, China happy − Jinin, China happy − Rubtsovsk, Russia happy − Alagoinhas, Brazil strong − Kanhangad, India happy − Kashihara, Japan 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