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
Ndola, Zambia happy +17.9% − Malabon, Philippines happy +23.0% − Chungju, Korea, South sad +4.6% − BRIDGETOWN, Barbados confused +23.8% − Springfield, United States confused +5.1% − Jhang, Pakistan strong +23.9% − Pinar del Río, Cuba confused +18.6% − Erlangen, Germany confused +22.9% − Tarragona, Spain strong +21.8% − Engels, Russia strong +21.7% − Ulsan, Korea, South confused +24.5% − Maiduguri, Nigeria confused +21.6% − Oberhausen, Germany weak +19.1% − Caruaru, Brazil strong +18.6% − Cangzhou, China confused +17.7% − Silay, Philippines happy +19.9% − Thai Nguyen, Vietnam sad +18.1% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Abeokuta, Nigeria happy +19.5% − Hachinohe, Japan strong +21.2% − PANAMA, Panama strong +3.1% − Phoenix, United States strong +11.7% − Tegal, Indonesia confused +4.6% − Zonguldak, Turkey strong +22.9% − Nizhnekamsk, Russia confused +21.0% − BASSE-TERRE, Guadeloupe strong +24.8% − Mönchengladbach, Germany happy +14.7% − LA HABANA, Cuba strong +18.2% − Anjo, Japan strong +2.2% − La Spezia, Italy confused +22.0% − San Sebastián, Spain confused +24.0% − Tacoma, United States confused +20.3% − The Wrekin, United Kingdom happy +23.6% − Tanga, Tanzania confused +20.3% − Diyarbakir, Turkey strong +22.7% − Gaya, India strong +23.6% − Sikar, India confused +24.6% − Giza, Egypt confused +23.8% − Dunfermline, United Kingdom confused +6.9% − Burgos, Spain strong +19.8% − Mbeya, Tanzania confused +22.8% − Monywa, Myanmar confused +22.1% − Vadakara, India sad +6.6% − Lisburn, United Kingdom strong +19.9% − Pinar del Río, Cuba confused +18.6% − Unnao, India weak +18.8% − Gurgaon, India strong +14.2% − Remscheid, Germany strong +19.6% − Ichikawa, Japan strong +4.5% − Arad, Romania strong +11.8% − Lapu-Lapu, Philippines strong +24.6% − Guilin, China strong +3.0% − East Hampshire, United Kingdom confused +19.0% − Cardiff, United Kingdom strong +16.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Grodno, Belarus sad +19.8% − Laval, Canada strong +10.7% − Warren, United States strong +22.1% − Eastleigh, United Kingdom happy +19.0% − Chungju, Korea, South sad +4.6% − Kure, Japan happy +17.9% − Baranovichi, Belarus strong +18.5% − Várzea Grande, Brazil strong +21.5% − Remscheid, Germany strong +19.6% − Daxian, China sad +23.8% − Anyang, China confused +1.0% − Tyumen, Russia strong +7.1% − ST. GEORGES, Grenada strong +19.2% − Yavatmal, India guilty +24.6% − Pegu, Myanmar confused +24.1% − TIRANA, Albania sad +18.7% − Waitakere, New Zealand confused +23.5% − Pohang, Korea, South confused +21.8% − Jequié, Brazil strong +5.6% − Raniganj, India confused +23.2% − Oberhausen, Germany weak +19.1% − Amiens, France confused +22.5% − Xichang, China confused +20.3% − Yokkaichi, Japan strong +19.6% − Surakarta, Indonesia strong +20.9% − Mulhouse, France happy +21.4% − Pocos de Caldas, Brazil strong +24.0% − Engels, Russia strong +21.7% − Jhang, Pakistan strong +23.9% − Abeokuta, Nigeria happy +19.5% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Waverley, United Kingdom weak +24.4% − The Wrekin, United Kingdom happy +23.6% − Ubon Ratchathani, Thailand confused +23.5% − Zonguldak, Turkey strong +22.9% − Kofu, Japan confused +20.9% − Ubon Ratchathani, Thailand confused +23.5% − BISHKEK, Kyrgyzstan weak +8.9% − Smolensk, Russia happy +17.6% − Boksburg, South Africa confused +18.1% − Huntington Beach, United States strong +23.2% − Tameside, United Kingdom confused +19.1% − Botou, China strong +24.2% − Susano, Brazil strong +1.7% − Medellín, Colombia strong +21.8% −
Teignbridge, United Kingdom confused -20.2% − Jiamusi, China strong -18.6% − Kisumu, Kenya confused -19.7% − LISBON, Portugal strong -7.5% − Alexandria, United States strong -11.9% − Toluca, Mexico confused -22.6% − Sefton, United Kingdom strong -5.2% − Yingcheng, China happy -22.9% − Petrópolis, Brazil strong -18.6% − Durango, Mexico strong -25.0% − Bridgeport, United States strong -18.9% − Ingolstadt, Germany strong -14.9% − Fukuyama, Japan strong -22.7% − Zaria, Nigeria confused -18.6% − Jinan, China strong -8.9% − Mojokerto, Indonesia strong -13.8% − South Cambridgeshire, United Kingdom strong -17.7% − Kochi, India strong -24.8% − Gujrat, Pakistan strong -22.0% − Kawachinagano, Japan happy -22.9% − Adana, Turkey confused -23.4% − Magdeburg, Germany strong -23.7% − Birmingham, United States confused -22.6% − Kitchener, Canada strong -15.2% − Brescia, Italy strong -18.6% − Tanjung Balai, Indonesia weak -4.9% − Quezon City, Philippines strong -4.0% − Serra, Brazil strong -5.4% − Chicago, United States strong -18.5% − Iseyin, Nigeria happy -22.8% − Irving, United States strong -20.4% − Queimados, Brazil strong -20.4% − Luohe, China happy -22.9% − San Pablo, Philippines strong -18.3% − Darlington, United Kingdom strong -24.3% − Jersey City, United States strong -23.2% − Leipzig, Germany strong -21.8% − Bareilly, India confused -23.5% − Muntinlupa, Philippines strong -19.8% − Richmond, United States confused -21.8% − Peshawar, Pakistan strong -24.4% − NOUMEA, New Caledonia strong -18.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Sapucaia, Brazil strong -18.8% − Gent, Belgium strong -4.2% − Anand, India strong -3.1% − Hampton, United States strong -12.1% − Nhatrang, Vietnam happy -22.9% − Palakkad, India strong -17.6% − San Jose, United States confused -24.0% − Halifax, Canada strong -19.1% − Sukabumi, Indonesia happy -9.2% − Cochabamba, Bolivia strong -23.2% − Amagasaki, Japan happy -24.2% − Dourados, Brazil strong -1.2% − Floridablanca, Colombia strong -22.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Geelong, Australia confused -2.1% − Braila, Romania strong -17.5% − Manchester, United Kingdom strong -9.2% − Kotte, Sri Lanka confused -1.5% − Chiba, Japan strong -24.8% − MONROVIA, Liberia happy -23.4% − Sergiev Posad, Russia happy -17.8% − Curitiba, Brazil strong -24.8% − Valencia, Venezuela confused -8.0% − Tampa, United States confused -19.1% − Chimbote, Peru strong -22.8% − Batangas, Philippines strong -22.8% − Richmond, United States confused -21.8% − Aguascalientes, Mexico strong -17.6% − Rouen, France strong -6.3% −
=
Basingstoke & Deane, United Kingdom happy − Moji-Guaçu, Brazil happy − Mudangiang, China happy − Shaown, China happy − Huaiyin, China happy − Kiselevsk, Russia happy − Niiza, Japan happy − Syktivkar, Russia happy − Taldikorgan, Kazakstan happy − Evpatoriya, Ukraine happy − Jastrzebie - Zdrój, Poland confused − Pórto Velho, Brazil happy − Durg, India weak − Kurume, Japan guilty − Sidi-bel-Abbès, Algeria happy − San Fernando de Apure, Venezuela strong − Sao Joao de Meriti, Brazil happy − Angren, Uzbekistan confused − Taiyan, China happy − Al-Rakka, Syrian Arab Republic happy − Reggio di Calabria, Italy happy − Khouribga, Morocco sad − Xiaocan, China happy − Sialkote, Pakistan happy − Yuncheng, China weak − Sao José do Rio Prêto, Brazil happy − Jinin, China happy − Guangshui, China happy − Debrezit, Ethiopia happy − Korla, China strong − Kashihara, Japan happy − Holon, Israel confused − Chinhae, Korea, South happy − Changweon, Korea, South happy − Meizhou, China strong − Bihar Sharif, India happy − Salamanca, Mexico strong − Kadhimain, Iraq happy − Xuchang, China happy − Novocherkassk, Russia happy − Juazeiro do Norte, Brazil happy − Artux, China happy − Dayuan, China happy − Sirjan, Iran happy − Shuangyashan, China happy − Nasariya, Iraq happy − Colimas, Mexico happy − Dlepmealow, South Africa happy − Chongli, China weak − Taian, China confused − Kanhangad, India happy − Shanwei, China confused − Nandyal, India happy − Ferraz de Vasconcelos, Brazil happy − Soyapango, El Salvador happy − Guikong, China happy − Deir El-Zor, Syrian Arab Republic happy − Calithèa, Greece happy − Alagoinhas, Brazil strong − Pinxiang, China happy − Lipetsk, Russia strong − Rubtsovsk, 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