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
Ulan-Ude, Russia confused +2.6% − Chillán, Chile strong +21.7% − Jhang, Pakistan strong +23.9% − Hachinohe, Japan strong +21.2% − Thai Nguyen, Vietnam sad +18.1% − Susano, Brazil strong +1.7% − Abeokuta, Nigeria happy +19.5% − Tacoma, United States confused +20.3% − Smolensk, Russia happy +17.6% − Chon Buri, Thailand strong +23.4% − San Cristóbal, Venezuela weak +18.5% − ST. GEORGES, Grenada strong +19.2% − Pinar del Río, Cuba confused +18.6% − Guilin, China strong +3.0% − Springfield, United States confused +5.1% − Engels, Russia strong +21.7% − BISHKEK, Kyrgyzstan weak +8.9% − Giza, Egypt confused +23.8% − Anyang, China confused +1.0% − Shaoyang, China weak +21.8% − Mönchengladbach, Germany happy +14.7% − Sedgemoor, United Kingdom strong +19.3% − Daxian, China sad +23.8% − Xichang, China confused +20.3% − San Sebastián, Spain confused +24.0% − Malabon, Philippines happy +23.0% − Tangshan, China weak +22.3% − ROAD TOWN, British Virgin Islands confused +22.0% − Rangpur, Bangladesh happy +24.3% − Ndola, Zambia happy +17.9% − North York, Canada strong +20.2% − Remscheid, Germany strong +19.6% − Tameside, United Kingdom confused +19.1% − Mbeya, Tanzania confused +22.8% − La Spezia, Italy confused +22.0% − Burgos, Spain strong +19.8% − Cangzhou, China confused +17.7% − Erbil, Iraq strong +20.1% − Yao, Japan strong +22.0% − Unnao, India weak +18.8% − Huntington Beach, United States strong +23.2% − Paraná, Argentina strong +12.3% − Kofu, Japan confused +20.9% − Beaumont, United States confused +12.1% − Ichikawa, Japan strong +4.5% − Guarapuava, Brazil strong +18.9% − Kharagpur, India strong +17.6% − TIRANA, Albania sad +18.7% − Tegal, Indonesia confused +4.6% − Warren, United States strong +22.1% − Diyarbakir, Turkey strong +22.7% − Maiduguri, Nigeria confused +21.6% − Sikar, India confused +24.6% − Tyumen, Russia strong +7.1% − Jequié, Brazil strong +5.6% − Nizhnekamsk, Russia confused +21.0% − Várzea Grande, Brazil strong +21.5% − Jhang, Pakistan strong +23.9% − Yavatmal, India guilty +24.6% − The Wrekin, United Kingdom happy +23.6% − Hamilton, Canada confused +21.0% − Medellín, Colombia strong +21.8% − Kure, Japan happy +17.9% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Xichang, China confused +20.3% − Pohang, Korea, South confused +21.8% − Tacoma, United States confused +20.3% − Boksburg, South Africa confused +18.1% − LA HABANA, Cuba strong +18.2% − Chungju, Korea, South sad +4.6% − Dunfermline, United Kingdom confused +6.9% − Piracicaba, Brazil strong +20.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Phoenix, United States strong +11.7% − Ambala, India happy +21.8% − Surakarta, Indonesia strong +20.9% − Zonguldak, Turkey strong +22.9% − Oberhausen, Germany weak +19.1% − Raniganj, India confused +23.2% − Ubon Ratchathani, Thailand confused +23.5% − Botou, China strong +24.2% − Jamalpur, Bangladesh confused +17.7% − Eastleigh, United Kingdom happy +19.0% − Loudi, China weak +17.8% − Baranovichi, Belarus strong +18.5% − BRIDGETOWN, Barbados confused +23.8% − Vallejo, United States confused +21.9% − Gaya, India strong +23.6% − PANAMA, Panama strong +3.1% − Engels, Russia strong +21.7% − Cardiff, United Kingdom strong +16.1% − Caruaru, Brazil strong +18.6% − Erlangen, Germany confused +22.9% − Ulsan, Korea, South confused +24.5% − The Wrekin, United Kingdom happy +23.6% − Amiens, France confused +22.5% − Arad, Romania strong +11.8% − Pinar del Río, Cuba confused +18.6% − Remscheid, Germany strong +19.6% − Pocos de Caldas, Brazil strong +24.0% − Botou, China strong +24.2% −
Jersey City, United States strong -23.2% − Chicago, United States strong -18.5% − Nhatrang, Vietnam happy -22.9% − Toluca, Mexico confused -22.6% − Leipzig, Germany strong -21.8% − Floridablanca, Colombia strong -22.9% − Luohe, China happy -22.9% − Yingcheng, China happy -22.9% − Sefton, United Kingdom strong -5.2% − Mojokerto, Indonesia strong -13.8% − Chimbote, Peru strong -22.8% − Quezon City, Philippines strong -4.0% − Brescia, Italy strong -18.6% − Alexandria, United States strong -11.9% − Durango, Mexico strong -25.0% − Ingolstadt, Germany strong -14.9% − Geelong, Australia confused -2.1% − Zaria, Nigeria confused -18.6% − NOUMEA, New Caledonia strong -18.8% − South Cambridgeshire, United Kingdom strong -17.7% − Richmond, United States confused -21.8% − Kitchener, Canada strong -15.2% − Iseyin, Nigeria happy -22.8% − Chiba, Japan strong -24.8% − Kawachinagano, Japan happy -22.9% − Jiamusi, China strong -18.6% − Sukabumi, Indonesia happy -9.2% − Darlington, United Kingdom strong -24.3% − Tanjung Balai, Indonesia weak -4.9% − San Pablo, Philippines strong -18.3% − Fukuyama, Japan strong -22.7% − Peshawar, Pakistan strong -24.4% − Cochabamba, Bolivia strong -23.2% − MONROVIA, Liberia happy -23.4% − Aguascalientes, Mexico strong -17.6% − Kotte, Sri Lanka confused -1.5% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Halifax, Canada strong -19.1% − Curitiba, Brazil strong -24.8% − Valencia, Venezuela confused -8.0% − Sapucaia, Brazil strong -18.8% − Petrópolis, Brazil strong -18.6% − Tampa, United States confused -19.1% − Teignbridge, United Kingdom confused -20.2% − Braila, Romania strong -17.5% − Kisumu, Kenya confused -19.7% − Muntinlupa, Philippines strong -19.8% − Hampton, United States strong -12.1% − Batangas, Philippines strong -22.8% − Adana, Turkey confused -23.4% − Bareilly, India confused -23.5% − Rouen, France strong -6.3% − Gent, Belgium strong -4.2% − Bridgeport, United States strong -18.9% − San Jose, United States confused -24.0% − Jinan, China strong -8.9% − Gujrat, Pakistan strong -22.0% − Manchester, United Kingdom strong -9.2% − Irving, United States strong -20.4% − Kochi, India strong -24.8% − Birmingham, United States confused -22.6% − Queimados, Brazil strong -20.4% − Palakkad, India strong -17.6% − Sergiev Posad, Russia happy -17.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Magdeburg, Germany strong -23.7% − LISBON, Portugal strong -7.5% − Anand, India strong -3.1% − Serra, Brazil strong -5.4% − Amagasaki, Japan happy -24.2% − Dourados, Brazil strong -1.2% −
=
Reggio di Calabria, Italy happy − Alagoinhas, Brazil strong − Soyapango, El Salvador happy − Guangshui, China happy − Angren, Uzbekistan confused − Chinhae, Korea, South happy − Sialkote, Pakistan happy − Khouribga, Morocco sad − Debrezit, Ethiopia happy − Moji-Guaçu, Brazil happy − Jinin, China happy − Yuncheng, China weak − Sirjan, Iran happy − Dayuan, China happy − Kanhangad, India happy − Syktivkar, Russia happy − Pórto Velho, Brazil happy − Rubtsovsk, Russia happy − Nandyal, India happy − Pinxiang, China happy − Sidi-bel-Abbès, Algeria happy − Kiselevsk, Russia happy − Niiza, Japan happy − Bihar Sharif, India happy − Ferraz de Vasconcelos, Brazil happy − Holon, Israel confused − Salamanca, Mexico strong − Kurume, Japan guilty − Lipetsk, Russia strong − Sao José do Rio Prêto, Brazil happy − Dlepmealow, South Africa happy − Sao Joao de Meriti, Brazil happy − Novocherkassk, Russia happy − Mudangiang, China happy − Changweon, Korea, South happy − Basingstoke & Deane, United Kingdom happy − Durg, India weak − San Fernando de Apure, Venezuela strong − Meizhou, China strong − Korla, China strong − Juazeiro do Norte, Brazil happy − Taldikorgan, Kazakstan happy − Xuchang, China happy − Guikong, China happy − Artux, China happy − Calithèa, Greece happy − Kashihara, Japan happy − Taian, China confused − Evpatoriya, Ukraine happy − Xiaocan, China happy − Kadhimain, Iraq happy − Jastrzebie - Zdrój, Poland confused − Shaown, China happy − Huaiyin, China happy − Deir El-Zor, Syrian Arab Republic happy − Shanwei, China confused − Shuangyashan, China happy − Nasariya, Iraq happy − Chongli, China weak − Colimas, Mexico happy − Taiyan, China 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