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
Hamilton, Canada confused +21.0% − Waverley, United Kingdom weak +24.4% − Tyumen, Russia strong +7.1% − Vallejo, United States confused +21.9% − Chillán, Chile strong +21.7% − Paraná, Argentina strong +12.3% − Springfield, United States confused +5.1% − Yavatmal, India guilty +24.6% − Amiens, France confused +22.5% − Pegu, Myanmar confused +24.1% − Erlangen, Germany confused +22.9% − Jequié, Brazil strong +5.6% − The Wrekin, United Kingdom happy +23.6% − Eastleigh, United Kingdom happy +19.0% − Pocos de Caldas, Brazil strong +24.0% − Vadakara, India sad +6.6% − ST. GEORGES, Grenada strong +19.2% − Diyarbakir, Turkey strong +22.7% − LA HABANA, Cuba strong +18.2% − Beaumont, United States confused +12.1% − Gurgaon, India strong +14.2% − Silay, Philippines happy +19.9% − Abeokuta, Nigeria happy +19.5% − San Cristóbal, Venezuela weak +18.5% − Zonguldak, Turkey strong +22.9% − Phoenix, United States strong +11.7% − Fukuoka, Japan weak +13.4% − San Sebastián, Spain confused +24.0% − Rangpur, Bangladesh happy +24.3% − Ambala, India happy +21.8% − Laval, Canada strong +10.7% − Mönchengladbach, Germany happy +14.7% − Baranovichi, Belarus strong +18.5% − Pinar del Río, Cuba confused +18.6% − Ichikawa, Japan strong +4.5% − Ubon Ratchathani, Thailand confused +23.5% − Arad, Romania strong +11.8% − Várzea Grande, Brazil strong +21.5% − Smolensk, Russia happy +17.6% − Jamalpur, Bangladesh confused +17.7% − BISHKEK, Kyrgyzstan weak +8.9% − Tameside, United Kingdom confused +19.1% − Xichang, China confused +20.3% − Remscheid, Germany strong +19.6% − Boksburg, South Africa confused +18.1% − Ubon Ratchathani, Thailand confused +23.5% − Tacoma, United States confused +20.3% − Engels, Russia strong +21.7% − Waitakere, New Zealand confused +23.5% − Remscheid, Germany strong +19.6% − The Wrekin, United Kingdom happy +23.6% − Kofu, Japan confused +20.9% − Lapu-Lapu, Philippines strong +24.6% − Cangzhou, China confused +17.7% − Guilin, China strong +3.0% − Pinar del Río, Cuba confused +18.6% − La Spezia, Italy confused +22.0% − Gaya, India strong +23.6% − Abeokuta, Nigeria happy +19.5% − Chungju, Korea, South sad +4.6% − Yao, Japan strong +22.0% − Mbeya, Tanzania confused +22.8% − Zonguldak, Turkey strong +22.9% − Thai Nguyen, Vietnam sad +18.1% − Jhang, Pakistan strong +23.9% − Huntington Beach, United States strong +23.2% − Tanga, Tanzania confused +20.3% − Cardiff, United Kingdom strong +16.1% − Tarragona, Spain strong +21.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Tangshan, China weak +22.3% − Unnao, India weak +18.8% − Engels, Russia strong +21.7% − Giza, Egypt confused +23.8% − Xichang, China confused +20.3% − Chon Buri, Thailand strong +23.4% − Lisburn, United Kingdom strong +19.9% − Monywa, Myanmar confused +22.1% − Hachinohe, Japan strong +21.2% − TIRANA, Albania sad +18.7% − Guarapuava, Brazil strong +18.9% − Surakarta, Indonesia strong +20.9% − Medellín, Colombia strong +21.8% − Shaoyang, China weak +21.8% − Erbil, Iraq strong +20.1% − Maiduguri, Nigeria confused +21.6% − Malabon, Philippines happy +23.0% − Anyang, China confused +1.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − PANAMA, Panama strong +3.1% − Daxian, China sad +23.8% − Gurgaon, India strong +14.2% − Sikar, India confused +24.6% − Anjo, Japan strong +2.2% − Pohang, Korea, South confused +21.8% − Ulan-Ude, Russia confused +2.6% − Oberhausen, Germany weak +19.1% − BASSE-TERRE, Guadeloupe strong +24.8% − Sedgemoor, United Kingdom strong +19.3% − East Hampshire, United Kingdom confused +19.0% − Nizhnekamsk, Russia confused +21.0% −
Kitchener, Canada strong -15.2% − Richmond, United States confused -21.8% − Alexandria, United States strong -11.9% − Nhatrang, Vietnam happy -22.9% − Sergiev Posad, Russia happy -17.8% − Gent, Belgium strong -4.2% − Halifax, Canada strong -19.1% − Kawachinagano, Japan happy -22.9% − Yingcheng, China happy -22.9% − Kotte, Sri Lanka confused -1.5% − Curitiba, Brazil strong -24.8% − Hampton, United States strong -12.1% − Jinan, China strong -8.9% − Tampa, United States confused -19.1% − Durango, Mexico strong -25.0% − Chimbote, Peru strong -22.8% − Sapucaia, Brazil strong -18.8% − Zaria, Nigeria confused -18.6% − Palakkad, India strong -17.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Darlington, United Kingdom strong -24.3% − Petrópolis, Brazil strong -18.6% − Ingolstadt, Germany strong -14.9% − Kochi, India strong -24.8% − Brescia, Italy strong -18.6% − Jersey City, United States strong -23.2% − Adana, Turkey confused -23.4% − Fukuyama, Japan strong -22.7% − Aguascalientes, Mexico strong -17.6% − Queimados, Brazil strong -20.4% − Batangas, Philippines strong -22.8% − Tanjung Balai, Indonesia weak -4.9% − Manchester, United Kingdom strong -9.2% − Chiba, Japan strong -24.8% − Cochabamba, Bolivia strong -23.2% − Rouen, France strong -6.3% − Magdeburg, Germany strong -23.7% − Irving, United States strong -20.4% − Birmingham, United States confused -22.6% − Dourados, Brazil strong -1.2% − MONROVIA, Liberia happy -23.4% − Serra, Brazil strong -5.4% − Toluca, Mexico confused -22.6% − Bridgeport, United States strong -18.9% − Mojokerto, Indonesia strong -13.8% − Valencia, Venezuela confused -8.0% − Gujrat, Pakistan strong -22.0% − Bareilly, India confused -23.5% − LISBON, Portugal strong -7.5% − Leipzig, Germany strong -21.8% − Amagasaki, Japan happy -24.2% − Chicago, United States strong -18.5% − Luohe, China happy -22.9% − San Pablo, Philippines strong -18.3% − Kisumu, Kenya confused -19.7% − Richmond, United States confused -21.8% − Jiamusi, China strong -18.6% − Geelong, Australia confused -2.1% − NOUMEA, New Caledonia strong -18.8% − San Jose, United States confused -24.0% − Peshawar, Pakistan strong -24.4% − Anand, India strong -3.1% − South Cambridgeshire, United Kingdom strong -17.7% − Muntinlupa, Philippines strong -19.8% − Teignbridge, United Kingdom confused -20.2% − Sefton, United Kingdom strong -5.2% − Iseyin, Nigeria happy -22.8% − Sukabumi, Indonesia happy -9.2% − Quezon City, Philippines strong -4.0% − Floridablanca, Colombia strong -22.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Braila, Romania strong -17.5% −
=
Taldikorgan, Kazakstan happy − Xuchang, China happy − Bihar Sharif, India happy − Nandyal, India happy − Sialkote, Pakistan happy − Sao Joao de Meriti, Brazil happy − Kanhangad, India happy − Niiza, Japan happy − Chinhae, Korea, South happy − Deir El-Zor, Syrian Arab Republic happy − Sidi-bel-Abbès, Algeria happy − Changweon, Korea, South happy − Mudangiang, China happy − Shanwei, China confused − Alagoinhas, Brazil strong − Holon, Israel confused − Sirjan, Iran happy − Shaown, China happy − Meizhou, China strong − Shuangyashan, China happy − Jinin, China happy − Artux, China happy − Juazeiro do Norte, Brazil happy − Chongli, China weak − Jastrzebie - Zdrój, Poland confused − Pórto Velho, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Syktivkar, Russia happy − Dlepmealow, South Africa happy − Al-Rakka, Syrian Arab Republic happy − Kadhimain, Iraq happy − Taian, China confused − Novocherkassk, Russia happy − Sao José do Rio Prêto, Brazil happy − Durg, India weak − San Fernando de Apure, Venezuela strong − Moji-Guaçu, Brazil happy − Guangshui, China happy − Debrezit, Ethiopia happy − Calithèa, Greece happy − Soyapango, El Salvador happy − Khouribga, Morocco sad − Yuncheng, China weak − Pinxiang, China happy − Huaiyin, China happy − Dayuan, China happy − Xiaocan, China happy − Reggio di Calabria, Italy happy − Salamanca, Mexico strong − Kurume, Japan guilty − Basingstoke & Deane, United Kingdom happy − Kashihara, Japan happy − Guikong, China happy − Rubtsovsk, Russia happy − Lipetsk, Russia strong − Colimas, Mexico happy − Angren, Uzbekistan confused − Taiyan, China happy − Korla, China strong − Evpatoriya, Ukraine happy − Nasariya, Iraq happy − Kiselevsk, Russia 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