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
BISHKEK, Kyrgyzstan weak +8.9% − Phoenix, United States strong +11.7% − Fukuoka, Japan weak +13.4% − Pinar del Río, Cuba confused +18.6% − Yavatmal, India guilty +24.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Jamalpur, Bangladesh confused +17.7% − Caruaru, Brazil strong +18.6% − The Wrekin, United Kingdom happy +23.6% − Daxian, China sad +23.8% − Tarragona, Spain strong +21.8% − Abeokuta, Nigeria happy +19.5% − Tanga, Tanzania confused +20.3% − Kure, Japan happy +17.9% − Tyumen, Russia strong +7.1% − San Sebastián, Spain confused +24.0% − Boksburg, South Africa confused +18.1% − Sikar, India confused +24.6% − Vadakara, India sad +6.6% − Laval, Canada strong +10.7% − Tameside, United Kingdom confused +19.1% − Warren, United States strong +22.1% − Shaoyang, China weak +21.8% − Xichang, China confused +20.3% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Tangshan, China weak +22.3% − La Spezia, Italy confused +22.0% − Jhang, Pakistan strong +23.9% − Remscheid, Germany strong +19.6% − Giza, Egypt confused +23.8% − Sedgemoor, United Kingdom strong +19.3% − Erbil, Iraq strong +20.1% − Chillán, Chile strong +21.7% − Chungju, Korea, South sad +4.6% − Abeokuta, Nigeria happy +19.5% − East Hampshire, United Kingdom confused +19.0% − TIRANA, Albania sad +18.7% − Lisburn, United Kingdom strong +19.9% − Thai Nguyen, Vietnam sad +18.1% − Piracicaba, Brazil strong +20.7% − Malabon, Philippines happy +23.0% − Chon Buri, Thailand strong +23.4% − Susano, Brazil strong +1.7% − Grodno, Belarus sad +19.8% − Unnao, India weak +18.8% − Waitakere, New Zealand confused +23.5% − Ambala, India happy +21.8% − Botou, China strong +24.2% − Zonguldak, Turkey strong +22.9% − Medellín, Colombia strong +21.8% − BRIDGETOWN, Barbados confused +23.8% − Várzea Grande, Brazil strong +21.5% − Springfield, United States confused +5.1% − Raniganj, India confused +23.2% − Pegu, Myanmar confused +24.1% − Nizhnekamsk, Russia confused +21.0% − PANAMA, Panama strong +3.1% − Rangpur, Bangladesh happy +24.3% − Cardiff, United Kingdom strong +16.1% − Engels, Russia strong +21.7% − Amiens, France confused +22.5% − Pinar del Río, Cuba confused +18.6% − Anjo, Japan strong +2.2% − Jequié, Brazil strong +5.6% − Fresno, United States strong +21.7% − Tacoma, United States confused +20.3% − Burgos, Spain strong +19.8% − Diyarbakir, Turkey strong +22.7% − Pocos de Caldas, Brazil strong +24.0% − North York, Canada strong +20.2% − Jhang, Pakistan strong +23.9% − Vallejo, United States confused +21.9% − Smolensk, Russia happy +17.6% − Kofu, Japan confused +20.9% − Ichikawa, Japan strong +4.5% − Mulhouse, France happy +21.4% − Ndola, Zambia happy +17.9% − Huntington Beach, United States strong +23.2% − Waverley, United Kingdom weak +24.4% − Dunfermline, United Kingdom confused +6.9% − Oberhausen, Germany weak +19.1% − Pohang, Korea, South confused +21.8% − Ubon Ratchathani, Thailand confused +23.5% − Gaya, India strong +23.6% − Mbeya, Tanzania confused +22.8% − Guilin, China strong +3.0% − The Wrekin, United Kingdom happy +23.6% − Gurgaon, India strong +14.2% − Chungju, Korea, South sad +4.6% − Monywa, Myanmar confused +22.1% − Cangzhou, China confused +17.7% − San Cristóbal, Venezuela weak +18.5% − Eastleigh, United Kingdom happy +19.0% − Maiduguri, Nigeria confused +21.6% − Paraná, Argentina strong +12.3% − Botou, China strong +24.2% − Kharagpur, India strong +17.6% − Vallejo, United States confused +21.9% − Yokkaichi, Japan strong +19.6% − Beaumont, United States confused +12.1% − Gurgaon, India strong +14.2% −
Leipzig, Germany strong -21.8% − Sapucaia, Brazil strong -18.8% − MONROVIA, Liberia happy -23.4% − Kotte, Sri Lanka confused -1.5% − NOUMEA, New Caledonia strong -18.8% − Ingolstadt, Germany strong -14.9% − Iseyin, Nigeria happy -22.8% − Jersey City, United States strong -23.2% − Hampton, United States strong -12.1% − Jiamusi, China strong -18.6% − Yingcheng, China happy -22.9% − San Pablo, Philippines strong -18.3% − Sukabumi, Indonesia happy -9.2% − Curitiba, Brazil strong -24.8% − Floridablanca, Colombia strong -22.9% − Richmond, United States confused -21.8% − San Jose, United States confused -24.0% − Chicago, United States strong -18.5% − Irving, United States strong -20.4% − Queimados, Brazil strong -20.4% − Chiba, Japan strong -24.8% − Palakkad, India strong -17.6% − Richmond, United States confused -21.8% − Jinan, China strong -8.9% − Toluca, Mexico confused -22.6% − Rouen, France strong -6.3% − Kochi, India strong -24.8% − Kisumu, Kenya confused -19.7% − Gujrat, Pakistan strong -22.0% − Bareilly, India confused -23.5% − Muntinlupa, Philippines strong -19.8% − Halifax, Canada strong -19.1% − Braila, Romania strong -17.5% − Gent, Belgium strong -4.2% − Birmingham, United States confused -22.6% − Aguascalientes, Mexico strong -17.6% − Fukuyama, Japan strong -22.7% − Zaria, Nigeria confused -18.6% − Dourados, Brazil strong -1.2% − Chimbote, Peru strong -22.8% − Luohe, China happy -22.9% − Alexandria, United States strong -11.9% − Manchester, United Kingdom strong -9.2% − South Cambridgeshire, United Kingdom strong -17.7% − Mojokerto, Indonesia strong -13.8% − Sefton, United Kingdom strong -5.2% − Kawachinagano, Japan happy -22.9% − LISBON, Portugal strong -7.5% − Valencia, Venezuela confused -8.0% − Geelong, Australia confused -2.1% − Amagasaki, Japan happy -24.2% − Brescia, Italy strong -18.6% − Peshawar, Pakistan strong -24.4% − Serra, Brazil strong -5.4% − Tampa, United States confused -19.1% − Tanjung Balai, Indonesia weak -4.9% − Magdeburg, Germany strong -23.7% − Nhatrang, Vietnam happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Darlington, United Kingdom strong -24.3% − Petrópolis, Brazil strong -18.6% − Quezon City, Philippines strong -4.0% − Adana, Turkey confused -23.4% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Sergiev Posad, Russia happy -17.8% − Durango, Mexico strong -25.0% − Bridgeport, United States strong -18.9% − Kitchener, Canada strong -15.2% − Batangas, Philippines strong -22.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Anand, India strong -3.1% − Cochabamba, Bolivia strong -23.2% −
=
Shaown, China happy − Kashihara, Japan happy − Yuncheng, China weak − Guangshui, China happy − Nasariya, Iraq happy − Jinin, China happy − Kadhimain, Iraq happy − Colimas, Mexico happy − Changweon, Korea, South happy − Artux, China happy − Chongli, China weak − Korla, China strong − San Fernando de Apure, Venezuela strong − Sidi-bel-Abbès, Algeria happy − Sirjan, Iran happy − Sao Joao de Meriti, Brazil happy − Basingstoke & Deane, United Kingdom happy − Salamanca, Mexico strong − Ferraz de Vasconcelos, Brazil happy − Chinhae, Korea, South happy − Calithèa, Greece happy − Holon, Israel confused − Soyapango, El Salvador happy − Niiza, Japan happy − Taldikorgan, Kazakstan happy − Nandyal, India happy − Huaiyin, China happy − Moji-Guaçu, Brazil happy − Durg, India weak − Angren, Uzbekistan confused − Pinxiang, China happy − Deir El-Zor, Syrian Arab Republic happy − Dlepmealow, South Africa happy − Juazeiro do Norte, Brazil happy − Reggio di Calabria, Italy happy − Dayuan, China happy − Taiyan, China happy − Al-Rakka, Syrian Arab Republic happy − Sialkote, Pakistan happy − Taian, China confused − Kanhangad, India happy − Shuangyashan, China happy − Jastrzebie - Zdrój, Poland confused − Mudangiang, China happy − Khouribga, Morocco sad − Kiselevsk, Russia happy − Alagoinhas, Brazil strong − Xiaocan, China happy − Evpatoriya, Ukraine happy − Meizhou, China strong − Kurume, Japan guilty − Shanwei, China confused − Pórto Velho, Brazil happy − Novocherkassk, Russia happy − Lipetsk, Russia strong − Syktivkar, Russia happy − Debrezit, Ethiopia happy − Guikong, China happy − Sao José do Rio Prêto, Brazil happy − Rubtsovsk, Russia happy − Xuchang, China happy − Bihar Sharif, India 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