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
Cangzhou, China confused +17.7% − Zonguldak, Turkey strong +22.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Vadakara, India sad +6.6% − Beaumont, United States confused +12.1% − Giza, Egypt confused +23.8% − Hamilton, Canada confused +21.0% − Ambala, India happy +21.8% − Kofu, Japan confused +20.9% − Surakarta, Indonesia strong +20.9% − Zonguldak, Turkey strong +22.9% − Erlangen, Germany confused +22.9% − San Sebastián, Spain confused +24.0% − Warren, United States strong +22.1% − ROAD TOWN, British Virgin Islands confused +22.0% − La Spezia, Italy confused +22.0% − BRIDGETOWN, Barbados confused +23.8% − Pinar del Río, Cuba confused +18.6% − The Wrekin, United Kingdom happy +23.6% − Tameside, United Kingdom confused +19.1% − Diyarbakir, Turkey strong +22.7% − Abeokuta, Nigeria happy +19.5% − PANAMA, Panama strong +3.1% − Jamalpur, Bangladesh confused +17.7% − Daxian, China sad +23.8% − Arad, Romania strong +11.8% − Caruaru, Brazil strong +18.6% − Abeokuta, Nigeria happy +19.5% − Gurgaon, India strong +14.2% − San Cristóbal, Venezuela weak +18.5% − Pegu, Myanmar confused +24.1% − Engels, Russia strong +21.7% − Oberhausen, Germany weak +19.1% − Unnao, India weak +18.8% − Pocos de Caldas, Brazil strong +24.0% − Eastleigh, United Kingdom happy +19.0% − ST. GEORGES, Grenada strong +19.2% − Cardiff, United Kingdom strong +16.1% − Waverley, United Kingdom weak +24.4% − Medellín, Colombia strong +21.8% − Lapu-Lapu, Philippines strong +24.6% − Chungju, Korea, South sad +4.6% − Ndola, Zambia happy +17.9% − Phoenix, United States strong +11.7% − Tegal, Indonesia confused +4.6% − Mönchengladbach, Germany happy +14.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Tacoma, United States confused +20.3% − Engels, Russia strong +21.7% − Ulsan, Korea, South confused +24.5% − Tyumen, Russia strong +7.1% − Xichang, China confused +20.3% − Tangshan, China weak +22.3% − Smolensk, Russia happy +17.6% − Remscheid, Germany strong +19.6% − Jequié, Brazil strong +5.6% − Thai Nguyen, Vietnam sad +18.1% − Anyang, China confused +1.0% − Springfield, United States confused +5.1% − Jhang, Pakistan strong +23.9% − Regensburg, Germany strong +16.0% − Vallejo, United States confused +21.9% − Susano, Brazil strong +1.7% − Vallejo, United States confused +21.9% − Hachinohe, Japan strong +21.2% − Burgos, Spain strong +19.8% − Paraná, Argentina strong +12.3% − Loudi, China weak +17.8% − Lisburn, United Kingdom strong +19.9% − Grodno, Belarus sad +19.8% − TIRANA, Albania sad +18.7% − Malabon, Philippines happy +23.0% − Shaoyang, China weak +21.8% − LA HABANA, Cuba strong +18.2% − Raniganj, India confused +23.2% − The Wrekin, United Kingdom happy +23.6% − Ichikawa, Japan strong +4.5% − Anjo, Japan strong +2.2% − Yao, Japan strong +22.0% − Botou, China strong +24.2% − Jhang, Pakistan strong +23.9% − Boksburg, South Africa confused +18.1% − Várzea Grande, Brazil strong +21.5% − Mbeya, Tanzania confused +22.8% − Kharagpur, India strong +17.6% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% − Fresno, United States strong +21.7% − Waitakere, New Zealand confused +23.5% − Baranovichi, Belarus strong +18.5% − Ulan-Ude, Russia confused +2.6% − Sedgemoor, United Kingdom strong +19.3% − Remscheid, Germany strong +19.6% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Sikar, India confused +24.6% − Rangpur, Bangladesh happy +24.3% − Chillán, Chile strong +21.7% − Monywa, Myanmar confused +22.1% − Tarragona, Spain strong +21.8% − Erbil, Iraq strong +20.1% −
Yingcheng, China happy -22.9% − Bridgeport, United States strong -18.9% − Leipzig, Germany strong -21.8% − Anand, India strong -3.1% − Fukuyama, Japan strong -22.7% − Richmond, United States confused -21.8% − Valencia, Venezuela confused -8.0% − Irving, United States strong -20.4% − NOUMEA, New Caledonia strong -18.8% − Muntinlupa, Philippines strong -19.8% − Sukabumi, Indonesia happy -9.2% − Braila, Romania strong -17.5% − Dourados, Brazil strong -1.2% − Nhatrang, Vietnam happy -22.9% − Manchester, United Kingdom strong -9.2% − Curitiba, Brazil strong -24.8% − Floridablanca, Colombia strong -22.9% − Tampa, United States confused -19.1% − Jersey City, United States strong -23.2% − Gent, Belgium strong -4.2% − Zaria, Nigeria confused -18.6% − Sefton, United Kingdom strong -5.2% − Aguascalientes, Mexico strong -17.6% − South Cambridgeshire, United Kingdom strong -17.7% − San Pablo, Philippines strong -18.3% − Bareilly, India confused -23.5% − Alexandria, United States strong -11.9% − Chimbote, Peru strong -22.8% − Chicago, United States strong -18.5% − Kisumu, Kenya confused -19.7% − Jinan, China strong -8.9% − Kochi, India strong -24.8% − Halifax, Canada strong -19.1% − Kitchener, Canada strong -15.2% − Geelong, Australia confused -2.1% − Gujrat, Pakistan strong -22.0% − Richmond, United States confused -21.8% − Batangas, Philippines strong -22.8% − Darlington, United Kingdom strong -24.3% − Teignbridge, United Kingdom confused -20.2% − Kawachinagano, Japan happy -22.9% − Brescia, Italy strong -18.6% − MONROVIA, Liberia happy -23.4% − Chiba, Japan strong -24.8% − Serra, Brazil strong -5.4% − Hampton, United States strong -12.1% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Queimados, Brazil strong -20.4% − Adana, Turkey confused -23.4% − Birmingham, United States confused -22.6% − Tanjung Balai, Indonesia weak -4.9% − Toluca, Mexico confused -22.6% − Luohe, China happy -22.9% − Kotte, Sri Lanka confused -1.5% − Amagasaki, Japan happy -24.2% − Jiamusi, China strong -18.6% − Cochabamba, Bolivia strong -23.2% − Magdeburg, Germany strong -23.7% − San Jose, United States confused -24.0% − Peshawar, Pakistan strong -24.4% − Sapucaia, Brazil strong -18.8% − Palakkad, India strong -17.6% − Mojokerto, Indonesia strong -13.8% − Quezon City, Philippines strong -4.0% − Durango, Mexico strong -25.0% − LISBON, Portugal strong -7.5% − Sergiev Posad, Russia happy -17.8% − Ingolstadt, Germany strong -14.9% − Petrópolis, Brazil strong -18.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Rouen, France strong -6.3% − Iseyin, Nigeria happy -22.8% −
=
Kanhangad, India happy − Evpatoriya, Ukraine happy − Korla, China strong − Sidi-bel-Abbès, Algeria happy − Artux, China happy − Moji-Guaçu, Brazil happy − Kadhimain, Iraq happy − Bihar Sharif, India happy − Durg, India weak − Basingstoke & Deane, United Kingdom happy − Taiyan, China happy − Debrezit, Ethiopia happy − Xiaocan, China happy − Kiselevsk, Russia happy − Kashihara, Japan happy − Guikong, China happy − Shanwei, China confused − Huaiyin, China happy − Pórto Velho, Brazil happy − Taian, China confused − Juazeiro do Norte, Brazil happy − Syktivkar, Russia happy − Calithèa, Greece happy − Jastrzebie - Zdrój, Poland confused − Yuncheng, China weak − San Fernando de Apure, Venezuela strong − Guangshui, China happy − Sao José do Rio Prêto, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Xuchang, China happy − Mudangiang, China happy − Alagoinhas, Brazil strong − Lipetsk, Russia strong − Novocherkassk, Russia happy − Taldikorgan, Kazakstan happy − Salamanca, Mexico strong − Kurume, Japan guilty − Soyapango, El Salvador happy − Niiza, Japan happy − Shaown, China happy − Chinhae, Korea, South happy − Colimas, Mexico happy − Nandyal, India happy − Sao Joao de Meriti, Brazil happy − Pinxiang, China happy − Angren, Uzbekistan confused − Khouribga, Morocco sad − Chongli, China weak − Ferraz de Vasconcelos, Brazil happy − Nasariya, Iraq happy − Dlepmealow, South Africa happy − Holon, Israel confused − Jinin, China happy − Meizhou, China strong − Rubtsovsk, Russia happy − Shuangyashan, China happy − Changweon, Korea, South happy − Dayuan, China happy − Deir El-Zor, Syrian Arab Republic happy − Sirjan, Iran happy − Sialkote, Pakistan happy − Reggio di Calabria, Italy 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