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
Piracicaba, Brazil strong +20.7% − Warren, United States strong +22.1% − Tameside, United Kingdom confused +19.1% − Xichang, China confused +20.3% − Botou, China strong +24.2% − Ulsan, Korea, South confused +24.5% − Sikar, India confused +24.6% − Pinar del Río, Cuba confused +18.6% − Yokkaichi, Japan strong +19.6% − Chungju, Korea, South sad +4.6% − LA HABANA, Cuba strong +18.2% − Beaumont, United States confused +12.1% − Amiens, France confused +22.5% − Lisburn, United Kingdom strong +19.9% − Ubon Ratchathani, Thailand confused +23.5% − Guilin, China strong +3.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Laval, Canada strong +10.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − TIRANA, Albania sad +18.7% − The Wrekin, United Kingdom happy +23.6% − Caruaru, Brazil strong +18.6% − Pohang, Korea, South confused +21.8% − Shaoyang, China weak +21.8% − The Wrekin, United Kingdom happy +23.6% − Tacoma, United States confused +20.3% − Fresno, United States strong +21.7% − Jamalpur, Bangladesh confused +17.7% − Springfield, United States confused +5.1% − Vadakara, India sad +6.6% − Tyumen, Russia strong +7.1% − Huntington Beach, United States strong +23.2% − Chungju, Korea, South sad +4.6% − Oberhausen, Germany weak +19.1% − Arad, Romania strong +11.8% − North York, Canada strong +20.2% − Kure, Japan happy +17.9% − Baranovichi, Belarus strong +18.5% − Jhang, Pakistan strong +23.9% − Pocos de Caldas, Brazil strong +24.0% − BISHKEK, Kyrgyzstan weak +8.9% − Chon Buri, Thailand strong +23.4% − Remscheid, Germany strong +19.6% − Hachinohe, Japan strong +21.2% − Fukuoka, Japan weak +13.4% − Waverley, United Kingdom weak +24.4% − Ubon Ratchathani, Thailand confused +23.5% − Susano, Brazil strong +1.7% − Abeokuta, Nigeria happy +19.5% − Regensburg, Germany strong +16.0% − Cangzhou, China confused +17.7% − Thai Nguyen, Vietnam sad +18.1% − Ndola, Zambia happy +17.9% − Tarragona, Spain strong +21.8% − Malabon, Philippines happy +23.0% − Engels, Russia strong +21.7% − BASSE-TERRE, Guadeloupe strong +24.8% − San Sebastián, Spain confused +24.0% − Gurgaon, India strong +14.2% − Xichang, China confused +20.3% − Kofu, Japan confused +20.9% − PANAMA, Panama strong +3.1% − Medellín, Colombia strong +21.8% − Erbil, Iraq strong +20.1% − Remscheid, Germany strong +19.6% − Tegal, Indonesia confused +4.6% − Burgos, Spain strong +19.8% − Tangshan, China weak +22.3% − Tanga, Tanzania confused +20.3% − Botou, China strong +24.2% − Dunfermline, United Kingdom confused +6.9% − Ambala, India happy +21.8% − Boksburg, South Africa confused +18.1% − Yao, Japan strong +22.0% − Jequié, Brazil strong +5.6% − Chillán, Chile strong +21.7% − Anyang, China confused +1.0% − Zonguldak, Turkey strong +22.9% − Vallejo, United States confused +21.9% − BRIDGETOWN, Barbados confused +23.8% − Loudi, China weak +17.8% − Surakarta, Indonesia strong +20.9% − Nizhnekamsk, Russia confused +21.0% − Tacoma, United States confused +20.3% − Sedgemoor, United Kingdom strong +19.3% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − La Spezia, Italy confused +22.0% − Mulhouse, France happy +21.4% − Abeokuta, Nigeria happy +19.5% − Erlangen, Germany confused +22.9% − Rangpur, Bangladesh happy +24.3% − Gaya, India strong +23.6% − ST. GEORGES, Grenada strong +19.2% − Waitakere, New Zealand confused +23.5% − Vallejo, United States confused +21.9% − Anjo, Japan strong +2.2% − Oberhausen, Germany weak +19.1% − Zonguldak, Turkey strong +22.9% − Giza, Egypt confused +23.8% − Kharagpur, India strong +17.6% − Grodno, Belarus sad +19.8% −
Kitchener, Canada strong -15.2% − LISBON, Portugal strong -7.5% − Tampa, United States confused -19.1% − South Cambridgeshire, United Kingdom strong -17.7% − Sapucaia, Brazil strong -18.8% − Kotte, Sri Lanka confused -1.5% − Magdeburg, Germany strong -23.7% − Peshawar, Pakistan strong -24.4% − Braila, Romania strong -17.5% − Chimbote, Peru strong -22.8% − Curitiba, Brazil strong -24.8% − Jiamusi, China strong -18.6% − Nhatrang, Vietnam happy -22.9% − Serra, Brazil strong -5.4% − Gent, Belgium strong -4.2% − Brescia, Italy strong -18.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Jinan, China strong -8.9% − Sefton, United Kingdom strong -5.2% − NOUMEA, New Caledonia strong -18.8% − Kawachinagano, Japan happy -22.9% − Palakkad, India strong -17.6% − Tanjung Balai, Indonesia weak -4.9% − Luohe, China happy -22.9% − Zaria, Nigeria confused -18.6% − San Pablo, Philippines strong -18.3% − Kisumu, Kenya confused -19.7% − Gujrat, Pakistan strong -22.0% − Anand, India strong -3.1% − Bareilly, India confused -23.5% − Dourados, Brazil strong -1.2% − Quezon City, Philippines strong -4.0% − Richmond, United States confused -21.8% − Batangas, Philippines strong -22.8% − Darlington, United Kingdom strong -24.3% − Ingolstadt, Germany strong -14.9% − Teignbridge, United Kingdom confused -20.2% − Toluca, Mexico confused -22.6% − Sergiev Posad, Russia happy -17.8% − Adana, Turkey confused -23.4% − Geelong, Australia confused -2.1% − Manchester, United Kingdom strong -9.2% − Queimados, Brazil strong -20.4% − Floridablanca, Colombia strong -22.9% − Fukuyama, Japan strong -22.7% − Hampton, United States strong -12.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Yingcheng, China happy -22.9% − Amagasaki, Japan happy -24.2% − San Jose, United States confused -24.0% − Irving, United States strong -20.4% − Alexandria, United States strong -11.9% − Jersey City, United States strong -23.2% − Iseyin, Nigeria happy -22.8% − Valencia, Venezuela confused -8.0% − Aguascalientes, Mexico strong -17.6% − Mojokerto, Indonesia strong -13.8% − Durango, Mexico strong -25.0% − Leipzig, Germany strong -21.8% − Muntinlupa, Philippines strong -19.8% − Petrópolis, Brazil strong -18.6% − Bridgeport, United States strong -18.9% − Kochi, India strong -24.8% − MONROVIA, Liberia happy -23.4% − Halifax, Canada strong -19.1% − Chicago, United States strong -18.5% − Sukabumi, Indonesia happy -9.2% − Rouen, France strong -6.3% − Richmond, United States confused -21.8% − Birmingham, United States confused -22.6% − Chiba, Japan strong -24.8% − Cochabamba, Bolivia strong -23.2% −
=
Dayuan, China happy − Pinxiang, China happy − Salamanca, Mexico strong − Dlepmealow, South Africa happy − Moji-Guaçu, Brazil happy − Soyapango, El Salvador happy − Huaiyin, China happy − Shuangyashan, China happy − Yuncheng, China weak − Pórto Velho, Brazil happy − Evpatoriya, Ukraine happy − Xiaocan, China happy − Sidi-bel-Abbès, Algeria happy − Ferraz de Vasconcelos, Brazil happy − Taiyan, China happy − Mudangiang, China happy − Jastrzebie - Zdrój, Poland confused − Debrezit, Ethiopia happy − Sialkote, Pakistan happy − Kanhangad, India happy − Lipetsk, Russia strong − Guangshui, China happy − Kiselevsk, Russia happy − Shaown, China happy − Artux, China happy − Sao José do Rio Prêto, Brazil happy − Novocherkassk, Russia happy − Kashihara, Japan happy − Nasariya, Iraq happy − Rubtsovsk, Russia happy − Sirjan, Iran happy − Chongli, China weak − Khouribga, Morocco sad − Bihar Sharif, India happy − Meizhou, China strong − Syktivkar, Russia happy − Basingstoke & Deane, United Kingdom happy − Guikong, China happy − Chinhae, Korea, South happy − Korla, China strong − Angren, Uzbekistan confused − Al-Rakka, Syrian Arab Republic happy − San Fernando de Apure, Venezuela strong − Reggio di Calabria, Italy happy − Kadhimain, Iraq happy − Deir El-Zor, Syrian Arab Republic happy − Kurume, Japan guilty − Durg, India weak − Sao Joao de Meriti, Brazil happy − Juazeiro do Norte, Brazil happy − Colimas, Mexico happy − Xuchang, China happy − Jinin, China happy − Calithèa, Greece happy − Niiza, Japan happy − Holon, Israel confused − Alagoinhas, Brazil strong − Taian, China confused − Taldikorgan, Kazakstan happy − Changweon, Korea, South happy − Nandyal, India happy − Shanwei, China confused
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