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
BASSE-TERRE, Guadeloupe strong +24.8% − Susano, Brazil strong +1.7% − Ulsan, Korea, South confused +24.5% − Anjo, Japan strong +2.2% − Pohang, Korea, South confused +21.8% − Ichikawa, Japan strong +4.5% − Cangzhou, China confused +17.7% − Xichang, China confused +20.3% − Tacoma, United States confused +20.3% − Erlangen, Germany confused +22.9% − Baranovichi, Belarus strong +18.5% − Zonguldak, Turkey strong +22.9% − Oberhausen, Germany weak +19.1% − Nizhnekamsk, Russia confused +21.0% − Raniganj, India confused +23.2% − BISHKEK, Kyrgyzstan weak +8.9% − Chungju, Korea, South sad +4.6% − Tameside, United Kingdom confused +19.1% − Fukuoka, Japan weak +13.4% − Laval, Canada strong +10.7% − Guilin, China strong +3.0% − Jhang, Pakistan strong +23.9% − Chungju, Korea, South sad +4.6% − Waitakere, New Zealand confused +23.5% − Boksburg, South Africa confused +18.1% − Smolensk, Russia happy +17.6% − Amiens, France confused +22.5% − Erbil, Iraq strong +20.1% − Anyang, China confused +1.0% − Huntington Beach, United States strong +23.2% − TIRANA, Albania sad +18.7% − Medellín, Colombia strong +21.8% − La Spezia, Italy confused +22.0% − Rangpur, Bangladesh happy +24.3% − Paraná, Argentina strong +12.3% − Grodno, Belarus sad +19.8% − Maiduguri, Nigeria confused +21.6% − Cardiff, United Kingdom strong +16.1% − Ambala, India happy +21.8% − Ndola, Zambia happy +17.9% − Zonguldak, Turkey strong +22.9% − Lisburn, United Kingdom strong +19.9% − Surakarta, Indonesia strong +20.9% − Tegal, Indonesia confused +4.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Pocos de Caldas, Brazil strong +24.0% − Warren, United States strong +22.1% − Oberhausen, Germany weak +19.1% − Kofu, Japan confused +20.9% − Várzea Grande, Brazil strong +21.5% − Mbeya, Tanzania confused +22.8% − The Wrekin, United Kingdom happy +23.6% − Burgos, Spain strong +19.8% − Eastleigh, United Kingdom happy +19.0% − Arad, Romania strong +11.8% − Caruaru, Brazil strong +18.6% − Tanga, Tanzania confused +20.3% − Gurgaon, India strong +14.2% − Piracicaba, Brazil strong +20.7% − Monywa, Myanmar confused +22.1% − East Hampshire, United Kingdom confused +19.0% − PANAMA, Panama strong +3.1% − Lapu-Lapu, Philippines strong +24.6% − Ubon Ratchathani, Thailand confused +23.5% − Abeokuta, Nigeria happy +19.5% − Abeokuta, Nigeria happy +19.5% − ST. GEORGES, Grenada strong +19.2% − Gaya, India strong +23.6% − Vadakara, India sad +6.6% − San Cristóbal, Venezuela weak +18.5% − Engels, Russia strong +21.7% − Mulhouse, France happy +21.4% − Pegu, Myanmar confused +24.1% − Yavatmal, India guilty +24.6% − Xichang, China confused +20.3% − Hamilton, Canada confused +21.0% − Shaoyang, China weak +21.8% − Dunfermline, United Kingdom confused +6.9% − BRIDGETOWN, Barbados confused +23.8% − Waverley, United Kingdom weak +24.4% − Springfield, United States confused +5.1% − Fresno, United States strong +21.7% − Loudi, China weak +17.8% − Kharagpur, India strong +17.6% − Tarragona, Spain strong +21.8% − Gurgaon, India strong +14.2% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Daxian, China sad +23.8% − Pinar del Río, Cuba confused +18.6% − Phoenix, United States strong +11.7% − Giza, Egypt confused +23.8% − Jhang, Pakistan strong +23.9% − Thai Nguyen, Vietnam sad +18.1% − Tangshan, China weak +22.3% − Yokkaichi, Japan strong +19.6% − Botou, China strong +24.2% − Beaumont, United States confused +12.1% − Kure, Japan happy +17.9% − Chon Buri, Thailand strong +23.4% − Bobo Dioulasso, Burkina Faso angry +20.4% − Remscheid, Germany strong +19.6% −
Muntinlupa, Philippines strong -19.8% − Amagasaki, Japan happy -24.2% − Teignbridge, United Kingdom confused -20.2% − Anand, India strong -3.1% − Manchester, United Kingdom strong -9.2% − Gent, Belgium strong -4.2% − Leipzig, Germany strong -21.8% − Queimados, Brazil strong -20.4% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Cochabamba, Bolivia strong -23.2% − Kisumu, Kenya confused -19.7% − Sukabumi, Indonesia happy -9.2% − Halifax, Canada strong -19.1% − NOUMEA, New Caledonia strong -18.8% − San Jose, United States confused -24.0% − Mojokerto, Indonesia strong -13.8% − Iseyin, Nigeria happy -22.8% − Palakkad, India strong -17.6% − Jinan, China strong -8.9% − Curitiba, Brazil strong -24.8% − Jiamusi, China strong -18.6% − Durango, Mexico strong -25.0% − Sapucaia, Brazil strong -18.8% − Zaria, Nigeria confused -18.6% − Aguascalientes, Mexico strong -17.6% − Braila, Romania strong -17.5% − South Cambridgeshire, United Kingdom strong -17.7% − Serra, Brazil strong -5.4% − LISBON, Portugal strong -7.5% − Rouen, France strong -6.3% − Batangas, Philippines strong -22.8% − Brescia, Italy strong -18.6% − Kochi, India strong -24.8% − Hampton, United States strong -12.1% − Birmingham, United States confused -22.6% − Kitchener, Canada strong -15.2% − Richmond, United States confused -21.8% − MONROVIA, Liberia happy -23.4% − Sefton, United Kingdom strong -5.2% − Ingolstadt, Germany strong -14.9% − Chicago, United States strong -18.5% − Darlington, United Kingdom strong -24.3% − Nhatrang, Vietnam happy -22.9% − Chiba, Japan strong -24.8% − Richmond, United States confused -21.8% − Bareilly, India confused -23.5% − Petrópolis, Brazil strong -18.6% − Peshawar, Pakistan strong -24.4% − Valencia, Venezuela confused -8.0% − Crewe & Nantwich, United Kingdom strong -17.6% − Floridablanca, Colombia strong -22.9% − Dourados, Brazil strong -1.2% − Fukuyama, Japan strong -22.7% − San Pablo, Philippines strong -18.3% − Chimbote, Peru strong -22.8% − Adana, Turkey confused -23.4% − Geelong, Australia confused -2.1% − Kawachinagano, Japan happy -22.9% − Quezon City, Philippines strong -4.0% − Kotte, Sri Lanka confused -1.5% − Tampa, United States confused -19.1% − Tanjung Balai, Indonesia weak -4.9% − Jersey City, United States strong -23.2% − Alexandria, United States strong -11.9% − Yingcheng, China happy -22.9% − Luohe, China happy -22.9% − Toluca, Mexico confused -22.6% − Magdeburg, Germany strong -23.7% − Sergiev Posad, Russia happy -17.8% − Irving, United States strong -20.4% − Gujrat, Pakistan strong -22.0% − Bridgeport, United States strong -18.9% −
=
Sirjan, Iran happy − Sao Joao de Meriti, Brazil happy − Guikong, China happy − Syktivkar, Russia happy − Kanhangad, India happy − Angren, Uzbekistan confused − Chongli, China weak − Niiza, Japan happy − Novocherkassk, Russia happy − Bihar Sharif, India happy − Basingstoke & Deane, United Kingdom happy − Dlepmealow, South Africa happy − Colimas, Mexico happy − Soyapango, El Salvador happy − Kurume, Japan guilty − Nandyal, India happy − Artux, China happy − Xuchang, China happy − Korla, China strong − Shanwei, China confused − Khouribga, Morocco sad − Durg, India weak − Salamanca, Mexico strong − Al-Rakka, Syrian Arab Republic happy − San Fernando de Apure, Venezuela strong − Pinxiang, China happy − Sao José do Rio Prêto, Brazil happy − Shuangyashan, China happy − Huaiyin, China happy − Mudangiang, China happy − Calithèa, Greece happy − Sialkote, Pakistan happy − Kiselevsk, Russia happy − Kashihara, Japan happy − Debrezit, Ethiopia happy − Guangshui, China happy − Jinin, China happy − Ferraz de Vasconcelos, Brazil happy − Sidi-bel-Abbès, Algeria happy − Jastrzebie - Zdrój, Poland confused − Reggio di Calabria, Italy happy − Nasariya, Iraq happy − Shaown, China happy − Juazeiro do Norte, Brazil happy − Dayuan, China happy − Pórto Velho, Brazil happy − Taiyan, China happy − Evpatoriya, Ukraine happy − Xiaocan, China happy − Taldikorgan, Kazakstan happy − Changweon, Korea, South happy − Meizhou, China strong − Holon, Israel confused − Lipetsk, Russia strong − Deir El-Zor, Syrian Arab Republic happy − Taian, China confused − Rubtsovsk, Russia happy − Kadhimain, Iraq happy − Yuncheng, China weak − Chinhae, Korea, South happy − Moji-Guaçu, Brazil happy − Alagoinhas, Brazil strong
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