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
Tanga, Tanzania confused +20.3% − LA HABANA, Cuba strong +18.2% − Shaoyang, China weak +21.8% − Amiens, France confused +22.5% − Pohang, Korea, South confused +21.8% − Waitakere, New Zealand confused +23.5% − Ulan-Ude, Russia confused +2.6% − Anjo, Japan strong +2.2% − Abeokuta, Nigeria happy +19.5% − Yao, Japan strong +22.0% − Silay, Philippines happy +19.9% − Tyumen, Russia strong +7.1% − Grodno, Belarus sad +19.8% − Ambala, India happy +21.8% − Chon Buri, Thailand strong +23.4% − Warren, United States strong +22.1% − Gurgaon, India strong +14.2% − Boksburg, South Africa confused +18.1% − Jequié, Brazil strong +5.6% − Rangpur, Bangladesh happy +24.3% − BISHKEK, Kyrgyzstan weak +8.9% − Kofu, Japan confused +20.9% − Jamalpur, Bangladesh confused +17.7% − Pinar del Río, Cuba confused +18.6% − Mönchengladbach, Germany happy +14.7% − Jhang, Pakistan strong +23.9% − Mbeya, Tanzania confused +22.8% − Hamilton, Canada confused +21.0% − Chungju, Korea, South sad +4.6% − North York, Canada strong +20.2% − PANAMA, Panama strong +3.1% − Cardiff, United Kingdom strong +16.1% − Huntington Beach, United States strong +23.2% − Ndola, Zambia happy +17.9% − Thai Nguyen, Vietnam sad +18.1% − Paraná, Argentina strong +12.3% − Gurgaon, India strong +14.2% − Lapu-Lapu, Philippines strong +24.6% − Bobo Dioulasso, Burkina Faso angry +20.4% − Hachinohe, Japan strong +21.2% − Smolensk, Russia happy +17.6% − Fukuoka, Japan weak +13.4% − Unnao, India weak +18.8% − Surakarta, Indonesia strong +20.9% − Chungju, Korea, South sad +4.6% − Sedgemoor, United Kingdom strong +19.3% − Loudi, China weak +17.8% − Zonguldak, Turkey strong +22.9% − Pinar del Río, Cuba confused +18.6% − Tegal, Indonesia confused +4.6% − Vallejo, United States confused +21.9% − Tangshan, China weak +22.3% − Remscheid, Germany strong +19.6% − Ubon Ratchathani, Thailand confused +23.5% − Erlangen, Germany confused +22.9% − Mulhouse, France happy +21.4% − Remscheid, Germany strong +19.6% − Burgos, Spain strong +19.8% − ST. GEORGES, Grenada strong +19.2% − Oberhausen, Germany weak +19.1% − Guilin, China strong +3.0% − Tacoma, United States confused +20.3% − Caruaru, Brazil strong +18.6% − Várzea Grande, Brazil strong +21.5% − Phoenix, United States strong +11.7% − Vallejo, United States confused +21.9% − Engels, Russia strong +21.7% − Daxian, China sad +23.8% − Fresno, United States strong +21.7% − Medellín, Colombia strong +21.8% − Tameside, United Kingdom confused +19.1% − Nizhnekamsk, Russia confused +21.0% − Beaumont, United States confused +12.1% − Pegu, Myanmar confused +24.1% − Xichang, China confused +20.3% − Giza, Egypt confused +23.8% − Yokkaichi, Japan strong +19.6% − The Wrekin, United Kingdom happy +23.6% − Xichang, China confused +20.3% − Anyang, China confused +1.0% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Botou, China strong +24.2% − Arad, Romania strong +11.8% − Cangzhou, China confused +17.7% − Diyarbakir, Turkey strong +22.7% − Susano, Brazil strong +1.7% − Monywa, Myanmar confused +22.1% − Botou, China strong +24.2% − Pocos de Caldas, Brazil strong +24.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Eastleigh, United Kingdom happy +19.0% − Oberhausen, Germany weak +19.1% − East Hampshire, United Kingdom confused +19.0% − San Cristóbal, Venezuela weak +18.5% − BRIDGETOWN, Barbados confused +23.8% − Sikar, India confused +24.6% − Erbil, Iraq strong +20.1% − Laval, Canada strong +10.7% − Ichikawa, Japan strong +4.5% − La Spezia, Italy confused +22.0% − Regensburg, Germany strong +16.0% −
Anand, India strong -3.1% − Alexandria, United States strong -11.9% − Yingcheng, China happy -22.9% − Quezon City, Philippines strong -4.0% − Petrópolis, Brazil strong -18.6% − Rouen, France strong -6.3% − Gent, Belgium strong -4.2% − Amagasaki, Japan happy -24.2% − Nhatrang, Vietnam happy -22.9% − Zaria, Nigeria confused -18.6% − Richmond, United States confused -21.8% − Aguascalientes, Mexico strong -17.6% − Bareilly, India confused -23.5% − Dourados, Brazil strong -1.2% − Kochi, India strong -24.8% − Leipzig, Germany strong -21.8% − Batangas, Philippines strong -22.8% − Kisumu, Kenya confused -19.7% − Valencia, Venezuela confused -8.0% − Floridablanca, Colombia strong -22.9% − Ingolstadt, Germany strong -14.9% − NOUMEA, New Caledonia strong -18.8% − Adana, Turkey confused -23.4% − Teignbridge, United Kingdom confused -20.2% − Kawachinagano, Japan happy -22.9% − Mojokerto, Indonesia strong -13.8% − Braila, Romania strong -17.5% − Cochabamba, Bolivia strong -23.2% − Irving, United States strong -20.4% − Palakkad, India strong -17.6% − Manchester, United Kingdom strong -9.2% − Muntinlupa, Philippines strong -19.8% − Tanjung Balai, Indonesia weak -4.9% − Hampton, United States strong -12.1% − Birmingham, United States confused -22.6% − San Pablo, Philippines strong -18.3% − Tampa, United States confused -19.1% − Jinan, China strong -8.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Iseyin, Nigeria happy -22.8% − Luohe, China happy -22.9% − Jiamusi, China strong -18.6% − Peshawar, Pakistan strong -24.4% − Richmond, United States confused -21.8% − Sergiev Posad, Russia happy -17.8% − Sapucaia, Brazil strong -18.8% − LISBON, Portugal strong -7.5% − San Jose, United States confused -24.0% − Jersey City, United States strong -23.2% − Queimados, Brazil strong -20.4% − Sefton, United Kingdom strong -5.2% − MONROVIA, Liberia happy -23.4% − Halifax, Canada strong -19.1% − Brescia, Italy strong -18.6% − Gujrat, Pakistan strong -22.0% − Bridgeport, United States strong -18.9% − Serra, Brazil strong -5.4% − Magdeburg, Germany strong -23.7% − Fukuyama, Japan strong -22.7% − South Cambridgeshire, United Kingdom strong -17.7% − Chimbote, Peru strong -22.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Geelong, Australia confused -2.1% − Durango, Mexico strong -25.0% − Chicago, United States strong -18.5% − Sukabumi, Indonesia happy -9.2% − Kotte, Sri Lanka confused -1.5% − Darlington, United Kingdom strong -24.3% − Kitchener, Canada strong -15.2% − Chiba, Japan strong -24.8% − Curitiba, Brazil strong -24.8% − Toluca, Mexico confused -22.6% −
=
Calithèa, Greece happy − Lipetsk, Russia strong − Juazeiro do Norte, Brazil happy − Xuchang, China happy − Huaiyin, China happy − Shanwei, China confused − Jastrzebie - Zdrój, Poland confused − Sao Joao de Meriti, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Kiselevsk, Russia happy − Kurume, Japan guilty − San Fernando de Apure, Venezuela strong − Pórto Velho, Brazil happy − Mudangiang, China happy − Debrezit, Ethiopia happy − Khouribga, Morocco sad − Jinin, China happy − Novocherkassk, Russia happy − Kadhimain, Iraq happy − Holon, Israel confused − Sialkote, Pakistan happy − Alagoinhas, Brazil strong − Basingstoke & Deane, United Kingdom happy − Guikong, China happy − Niiza, Japan happy − Chongli, China weak − Kashihara, Japan happy − Xiaocan, China happy − Bihar Sharif, India happy − Shuangyashan, China happy − Changweon, Korea, South happy − Salamanca, Mexico strong − Korla, China strong − Dlepmealow, South Africa happy − Shaown, China happy − Sirjan, Iran happy − Guangshui, China happy − Taldikorgan, Kazakstan happy − Chinhae, Korea, South happy − Meizhou, China strong − Reggio di Calabria, Italy happy − Moji-Guaçu, Brazil happy − Taian, China confused − Syktivkar, Russia happy − Al-Rakka, Syrian Arab Republic happy − Yuncheng, China weak − Durg, India weak − Artux, China happy − Rubtsovsk, Russia happy − Angren, Uzbekistan confused − Soyapango, El Salvador happy − Evpatoriya, Ukraine happy − Nandyal, India happy − Sao José do Rio Prêto, Brazil happy − Colimas, Mexico happy − Kanhangad, India happy − Deir El-Zor, Syrian Arab Republic happy − Pinxiang, China happy − Dayuan, China happy − Taiyan, China happy − Nasariya, Iraq happy − Sidi-bel-Abbès, Algeria 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