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
Regensburg, Germany strong +16.0% − TIRANA, Albania sad +18.7% − Anjo, Japan strong +2.2% − Mulhouse, France happy +21.4% − San Sebastián, Spain confused +24.0% − Oberhausen, Germany weak +19.1% − Phoenix, United States strong +11.7% − Grodno, Belarus sad +19.8% − Pinar del Río, Cuba confused +18.6% − Waverley, United Kingdom weak +24.4% − Yao, Japan strong +22.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Sedgemoor, United Kingdom strong +19.3% − Monywa, Myanmar confused +22.1% − Botou, China strong +24.2% − Chungju, Korea, South sad +4.6% − Shaoyang, China weak +21.8% − Anyang, China confused +1.0% − Xichang, China confused +20.3% − Jhang, Pakistan strong +23.9% − Ndola, Zambia happy +17.9% − Ulan-Ude, Russia confused +2.6% − Sikar, India confused +24.6% − Gurgaon, India strong +14.2% − BISHKEK, Kyrgyzstan weak +8.9% − Chon Buri, Thailand strong +23.4% − Abeokuta, Nigeria happy +19.5% − Fukuoka, Japan weak +13.4% − BASSE-TERRE, Guadeloupe strong +24.8% − Caruaru, Brazil strong +18.6% − Hamilton, Canada confused +21.0% − Susano, Brazil strong +1.7% − Engels, Russia strong +21.7% − Zonguldak, Turkey strong +22.9% − San Cristóbal, Venezuela weak +18.5% − Raniganj, India confused +23.2% − Springfield, United States confused +5.1% − The Wrekin, United Kingdom happy +23.6% − Guilin, China strong +3.0% − Maiduguri, Nigeria confused +21.6% − Warren, United States strong +22.1% − Tarragona, Spain strong +21.8% − Cardiff, United Kingdom strong +16.1% − Kharagpur, India strong +17.6% − Remscheid, Germany strong +19.6% − Zonguldak, Turkey strong +22.9% − Amiens, France confused +22.5% − Jhang, Pakistan strong +23.9% − Hachinohe, Japan strong +21.2% − Yavatmal, India guilty +24.6% − Pegu, Myanmar confused +24.1% − Thai Nguyen, Vietnam sad +18.1% − Erlangen, Germany confused +22.9% − Smolensk, Russia happy +17.6% − Vallejo, United States confused +21.9% − Eastleigh, United Kingdom happy +19.0% − Medellín, Colombia strong +21.8% − LA HABANA, Cuba strong +18.2% − Vadakara, India sad +6.6% − Waitakere, New Zealand confused +23.5% − Fresno, United States strong +21.7% − Yokkaichi, Japan strong +19.6% − Xichang, China confused +20.3% − Piracicaba, Brazil strong +20.7% − Tangshan, China weak +22.3% − Tacoma, United States confused +20.3% − Burgos, Spain strong +19.8% − Chungju, Korea, South sad +4.6% − Pinar del Río, Cuba confused +18.6% − Jequié, Brazil strong +5.6% − Botou, China strong +24.2% − Baranovichi, Belarus strong +18.5% − La Spezia, Italy confused +22.0% − ST. GEORGES, Grenada strong +19.2% − East Hampshire, United Kingdom confused +19.0% − Erbil, Iraq strong +20.1% − Mönchengladbach, Germany happy +14.7% − Beaumont, United States confused +12.1% − PANAMA, Panama strong +3.1% − North York, Canada strong +20.2% − Huntington Beach, United States strong +23.2% − Surakarta, Indonesia strong +20.9% − Pocos de Caldas, Brazil strong +24.0% − Gaya, India strong +23.6% − Loudi, China weak +17.8% − Ubon Ratchathani, Thailand confused +23.5% − Mbeya, Tanzania confused +22.8% − Boksburg, South Africa confused +18.1% − Giza, Egypt confused +23.8% − Tacoma, United States confused +20.3% − Dunfermline, United Kingdom confused +6.9% − Gurgaon, India strong +14.2% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Diyarbakir, Turkey strong +22.7% − Oberhausen, Germany weak +19.1% − Arad, Romania strong +11.8% − Engels, Russia strong +21.7% − Daxian, China sad +23.8% − Nizhnekamsk, Russia confused +21.0% − Ubon Ratchathani, Thailand confused +23.5% − Silay, Philippines happy +19.9% −
Darlington, United Kingdom strong -24.3% − Sukabumi, Indonesia happy -9.2% − Floridablanca, Colombia strong -22.9% − Braila, Romania strong -17.5% − Gujrat, Pakistan strong -22.0% − Birmingham, United States confused -22.6% − Jinan, China strong -8.9% − Palakkad, India strong -17.6% − MONROVIA, Liberia happy -23.4% − Richmond, United States confused -21.8% − Kitchener, Canada strong -15.2% − Valencia, Venezuela confused -8.0% − Amagasaki, Japan happy -24.2% − Nhatrang, Vietnam happy -22.9% − Sefton, United Kingdom strong -5.2% − Tanjung Balai, Indonesia weak -4.9% − Chicago, United States strong -18.5% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Anand, India strong -3.1% − San Jose, United States confused -24.0% − Jersey City, United States strong -23.2% − Luohe, China happy -22.9% − Kisumu, Kenya confused -19.7% − Tampa, United States confused -19.1% − NOUMEA, New Caledonia strong -18.8% − Sapucaia, Brazil strong -18.8% − Cochabamba, Bolivia strong -23.2% − Serra, Brazil strong -5.4% − Brescia, Italy strong -18.6% − Quezon City, Philippines strong -4.0% − Petrópolis, Brazil strong -18.6% − Leipzig, Germany strong -21.8% − Bareilly, India confused -23.5% − Curitiba, Brazil strong -24.8% − Zaria, Nigeria confused -18.6% − San Pablo, Philippines strong -18.3% − Irving, United States strong -20.4% − Peshawar, Pakistan strong -24.4% − Batangas, Philippines strong -22.8% − Alexandria, United States strong -11.9% − Magdeburg, Germany strong -23.7% − LISBON, Portugal strong -7.5% − Rouen, France strong -6.3% − Geelong, Australia confused -2.1% − Fukuyama, Japan strong -22.7% − Halifax, Canada strong -19.1% − Toluca, Mexico confused -22.6% − Mojokerto, Indonesia strong -13.8% − Yingcheng, China happy -22.9% − Muntinlupa, Philippines strong -19.8% − Ingolstadt, Germany strong -14.9% − Adana, Turkey confused -23.4% − Gent, Belgium strong -4.2% − Kotte, Sri Lanka confused -1.5% − Hampton, United States strong -12.1% − Kawachinagano, Japan happy -22.9% − Manchester, United Kingdom strong -9.2% − Jiamusi, China strong -18.6% − Chiba, Japan strong -24.8% − South Cambridgeshire, United Kingdom strong -17.7% − Teignbridge, United Kingdom confused -20.2% − Kochi, India strong -24.8% − Queimados, Brazil strong -20.4% − Durango, Mexico strong -25.0% − Sergiev Posad, Russia happy -17.8% − Dourados, Brazil strong -1.2% − Bridgeport, United States strong -18.9% − Richmond, United States confused -21.8% − Aguascalientes, Mexico strong -17.6% − Chimbote, Peru strong -22.8% − Iseyin, Nigeria happy -22.8% −
=
Basingstoke & Deane, United Kingdom happy − Novocherkassk, Russia happy − Reggio di Calabria, Italy happy − Juazeiro do Norte, Brazil happy − Angren, Uzbekistan confused − Soyapango, El Salvador happy − Artux, China happy − Meizhou, China strong − Kadhimain, Iraq happy − Syktivkar, Russia happy − Sialkote, Pakistan happy − Korla, China strong − Sidi-bel-Abbès, Algeria happy − Calithèa, Greece happy − Moji-Guaçu, Brazil happy − Huaiyin, China happy − Rubtsovsk, Russia happy − Chinhae, Korea, South happy − Xuchang, China happy − San Fernando de Apure, Venezuela strong − Khouribga, Morocco sad − Kurume, Japan guilty − Kiselevsk, Russia happy − Shuangyashan, China happy − Mudangiang, China happy − Nasariya, Iraq happy − Bihar Sharif, India happy − Niiza, Japan happy − Taian, China confused − Salamanca, Mexico strong − Al-Rakka, Syrian Arab Republic happy − Alagoinhas, Brazil strong − Jinin, China happy − Pórto Velho, Brazil happy − Colimas, Mexico happy − Sao Joao de Meriti, Brazil happy − Nandyal, India happy − Holon, Israel confused − Ferraz de Vasconcelos, Brazil happy − Taiyan, China happy − Debrezit, Ethiopia happy − Guangshui, China happy − Kanhangad, India happy − Sirjan, Iran happy − Pinxiang, China happy − Chongli, China weak − Kashihara, Japan happy − Changweon, Korea, South happy − Evpatoriya, Ukraine happy − Jastrzebie - Zdrój, Poland confused − Shaown, China happy − Taldikorgan, Kazakstan happy − Deir El-Zor, Syrian Arab Republic happy − Sao José do Rio Prêto, Brazil happy − Xiaocan, China happy − Dayuan, China happy − Shanwei, China confused − Dlepmealow, South Africa happy − Yuncheng, China weak − Lipetsk, Russia strong − Durg, India weak − Guikong, China 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