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
Erlangen, Germany confused +22.9% − Bobo Dioulasso, Burkina Faso angry +20.4% − Raniganj, India confused +23.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Pohang, Korea, South confused +21.8% − Medellín, Colombia strong +21.8% − Tyumen, Russia strong +7.1% − San Cristóbal, Venezuela weak +18.5% − Ichikawa, Japan strong +4.5% − Yokkaichi, Japan strong +19.6% − Remscheid, Germany strong +19.6% − Yao, Japan strong +22.0% − Silay, Philippines happy +19.9% − Ubon Ratchathani, Thailand confused +23.5% − Pegu, Myanmar confused +24.1% − Fukuoka, Japan weak +13.4% − BRIDGETOWN, Barbados confused +23.8% − Anjo, Japan strong +2.2% − Eastleigh, United Kingdom happy +19.0% − Sikar, India confused +24.6% − Boksburg, South Africa confused +18.1% − Beaumont, United States confused +12.1% − Engels, Russia strong +21.7% − Mbeya, Tanzania confused +22.8% − Chon Buri, Thailand strong +23.4% − Jequié, Brazil strong +5.6% − East Hampshire, United Kingdom confused +19.0% − Chungju, Korea, South sad +4.6% − Anyang, China confused +1.0% − Botou, China strong +24.2% − Tacoma, United States confused +20.3% − Chillán, Chile strong +21.7% − Laval, Canada strong +10.7% − Botou, China strong +24.2% − PANAMA, Panama strong +3.1% − Rangpur, Bangladesh happy +24.3% − Cangzhou, China confused +17.7% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Gurgaon, India strong +14.2% − Ulsan, Korea, South confused +24.5% − Smolensk, Russia happy +17.6% − Kure, Japan happy +17.9% − Ulan-Ude, Russia confused +2.6% − Pinar del Río, Cuba confused +18.6% − Waverley, United Kingdom weak +24.4% − Cardiff, United Kingdom strong +16.1% − Burgos, Spain strong +19.8% − Tarragona, Spain strong +21.8% − Shaoyang, China weak +21.8% − Kofu, Japan confused +20.9% − Fresno, United States strong +21.7% − Jhang, Pakistan strong +23.9% − Monywa, Myanmar confused +22.1% − Guarapuava, Brazil strong +18.9% − Surakarta, Indonesia strong +20.9% − Caruaru, Brazil strong +18.6% − Arad, Romania strong +11.8% − Mönchengladbach, Germany happy +14.7% − BISHKEK, Kyrgyzstan weak +8.9% − Ambala, India happy +21.8% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Giza, Egypt confused +23.8% − Grodno, Belarus sad +19.8% − Remscheid, Germany strong +19.6% − Vadakara, India sad +6.6% − Xichang, China confused +20.3% − Sedgemoor, United Kingdom strong +19.3% − Piracicaba, Brazil strong +20.7% − Susano, Brazil strong +1.7% − Hachinohe, Japan strong +21.2% − Tacoma, United States confused +20.3% − Engels, Russia strong +21.7% − Paraná, Argentina strong +12.3% − Warren, United States strong +22.1% − Abeokuta, Nigeria happy +19.5% − Yavatmal, India guilty +24.6% − Guilin, China strong +3.0% − Phoenix, United States strong +11.7% − Baranovichi, Belarus strong +18.5% − Tangshan, China weak +22.3% − Hamilton, Canada confused +21.0% − Lisburn, United Kingdom strong +19.9% − Springfield, United States confused +5.1% − Maiduguri, Nigeria confused +21.6% − Waitakere, New Zealand confused +23.5% − Dunfermline, United Kingdom confused +6.9% − Nizhnekamsk, Russia confused +21.0% − LA HABANA, Cuba strong +18.2% − Mulhouse, France happy +21.4% − Zonguldak, Turkey strong +22.9% − The Wrekin, United Kingdom happy +23.6% − Pocos de Caldas, Brazil strong +24.0% − Erbil, Iraq strong +20.1% − Abeokuta, Nigeria happy +19.5% − Daxian, China sad +23.8% − BASSE-TERRE, Guadeloupe strong +24.8% − La Spezia, Italy confused +22.0% − Pinar del Río, Cuba confused +18.6% − TIRANA, Albania sad +18.7% − Tameside, United Kingdom confused +19.1% −
LISBON, Portugal strong -7.5% − Petrópolis, Brazil strong -18.6% − Serra, Brazil strong -5.4% − Iseyin, Nigeria happy -22.8% − Ingolstadt, Germany strong -14.9% − Toluca, Mexico confused -22.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Peshawar, Pakistan strong -24.4% − Aguascalientes, Mexico strong -17.6% − Sapucaia, Brazil strong -18.8% − Chicago, United States strong -18.5% − Rouen, France strong -6.3% − Sergiev Posad, Russia happy -17.8% − Sefton, United Kingdom strong -5.2% − Jersey City, United States strong -23.2% − Yingcheng, China happy -22.9% − Floridablanca, Colombia strong -22.9% − Gujrat, Pakistan strong -22.0% − Muntinlupa, Philippines strong -19.8% − Bareilly, India confused -23.5% − Irving, United States strong -20.4% − Queimados, Brazil strong -20.4% − Alexandria, United States strong -11.9% − Luohe, China happy -22.9% − Gent, Belgium strong -4.2% − Leipzig, Germany strong -21.8% − NOUMEA, New Caledonia strong -18.8% − Birmingham, United States confused -22.6% − Nhatrang, Vietnam happy -22.9% − Sukabumi, Indonesia happy -9.2% − Cochabamba, Bolivia strong -23.2% − Teignbridge, United Kingdom confused -20.2% − Bridgeport, United States strong -18.9% − Darlington, United Kingdom strong -24.3% − Manchester, United Kingdom strong -9.2% − Jiamusi, China strong -18.6% − Kochi, India strong -24.8% − Amagasaki, Japan happy -24.2% − Kitchener, Canada strong -15.2% − Geelong, Australia confused -2.1% − Chimbote, Peru strong -22.8% − Richmond, United States confused -21.8% − South Cambridgeshire, United Kingdom strong -17.7% − Mojokerto, Indonesia strong -13.8% − Richmond, United States confused -21.8% − Magdeburg, Germany strong -23.7% − Tampa, United States confused -19.1% − San Pablo, Philippines strong -18.3% − Brescia, Italy strong -18.6% − Kisumu, Kenya confused -19.7% − Braila, Romania strong -17.5% − Curitiba, Brazil strong -24.8% − Chiba, Japan strong -24.8% − Anand, India strong -3.1% − Halifax, Canada strong -19.1% − Hampton, United States strong -12.1% − Jinan, China strong -8.9% − Dourados, Brazil strong -1.2% − Quezon City, Philippines strong -4.0% − Batangas, Philippines strong -22.8% − Palakkad, India strong -17.6% − MONROVIA, Liberia happy -23.4% − Kawachinagano, Japan happy -22.9% − Durango, Mexico strong -25.0% − Valencia, Venezuela confused -8.0% − Kotte, Sri Lanka confused -1.5% − Zaria, Nigeria confused -18.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Fukuyama, Japan strong -22.7% − San Jose, United States confused -24.0% − Tanjung Balai, Indonesia weak -4.9% − Adana, Turkey confused -23.4% −
=
Sirjan, Iran happy − Shanwei, China confused − Durg, India weak − Sidi-bel-Abbès, Algeria happy − Guikong, China happy − Novocherkassk, Russia happy − Soyapango, El Salvador happy − Meizhou, China strong − Kanhangad, India happy − Sao Joao de Meriti, Brazil happy − Colimas, Mexico happy − Jinin, China happy − Kadhimain, Iraq happy − Pinxiang, China happy − Dlepmealow, South Africa happy − Kurume, Japan guilty − Deir El-Zor, Syrian Arab Republic happy − Jastrzebie - Zdrój, Poland confused − Chinhae, Korea, South happy − Xiaocan, China happy − Mudangiang, China happy − Shuangyashan, China happy − Dayuan, China happy − Taiyan, China happy − Reggio di Calabria, Italy happy − Lipetsk, Russia strong − Nandyal, India happy − Nasariya, Iraq happy − Niiza, Japan happy − Salamanca, Mexico strong − Moji-Guaçu, Brazil happy − Basingstoke & Deane, United Kingdom happy − Angren, Uzbekistan confused − Pórto Velho, Brazil happy − Rubtsovsk, Russia happy − Khouribga, Morocco sad − San Fernando de Apure, Venezuela strong − Sao José do Rio Prêto, Brazil happy − Juazeiro do Norte, Brazil happy − Shaown, China happy − Chongli, China weak − Bihar Sharif, India happy − Ferraz de Vasconcelos, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Korla, China strong − Kiselevsk, Russia happy − Guangshui, China happy − Taldikorgan, Kazakstan happy − Changweon, Korea, South happy − Taian, China confused − Alagoinhas, Brazil strong − Yuncheng, China weak − Holon, Israel confused − Artux, China happy − Evpatoriya, Ukraine happy − Sialkote, Pakistan happy − Debrezit, Ethiopia happy − Xuchang, China happy − Calithèa, Greece happy − Kashihara, Japan happy − Huaiyin, China happy − Syktivkar, 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