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
East Hampshire, United Kingdom confused +19.0% − Chungju, Korea, South sad +4.6% − Arad, Romania strong +11.8% − Tameside, United Kingdom confused +19.1% − Gurgaon, India strong +14.2% − Ambala, India happy +21.8% − Jequié, Brazil strong +5.6% − Ulan-Ude, Russia confused +2.6% − Springfield, United States confused +5.1% − Rangpur, Bangladesh happy +24.3% − Pohang, Korea, South confused +21.8% − Remscheid, Germany strong +19.6% − Raniganj, India confused +23.2% − Abeokuta, Nigeria happy +19.5% − Xichang, China confused +20.3% − Chon Buri, Thailand strong +23.4% − Pinar del Río, Cuba confused +18.6% − Lisburn, United Kingdom strong +19.9% − Phoenix, United States strong +11.7% − Engels, Russia strong +21.7% − Hamilton, Canada confused +21.0% − Surakarta, Indonesia strong +20.9% − The Wrekin, United Kingdom happy +23.6% − PANAMA, Panama strong +3.1% − Abeokuta, Nigeria happy +19.5% − Cardiff, United Kingdom strong +16.1% − Gaya, India strong +23.6% − Fresno, United States strong +21.7% − Oberhausen, Germany weak +19.1% − Tegal, Indonesia confused +4.6% − Zonguldak, Turkey strong +22.9% − Waverley, United Kingdom weak +24.4% − San Sebastián, Spain confused +24.0% − Maiduguri, Nigeria confused +21.6% − The Wrekin, United Kingdom happy +23.6% − Pegu, Myanmar confused +24.1% − BISHKEK, Kyrgyzstan weak +8.9% − Caruaru, Brazil strong +18.6% − Vallejo, United States confused +21.9% − Botou, China strong +24.2% − Piracicaba, Brazil strong +20.7% − Zonguldak, Turkey strong +22.9% − Cangzhou, China confused +17.7% − Jhang, Pakistan strong +23.9% − Boksburg, South Africa confused +18.1% − Grodno, Belarus sad +19.8% − San Cristóbal, Venezuela weak +18.5% − Ubon Ratchathani, Thailand confused +23.5% − Vadakara, India sad +6.6% − Pinar del Río, Cuba confused +18.6% − Sedgemoor, United Kingdom strong +19.3% − Erlangen, Germany confused +22.9% − Tacoma, United States confused +20.3% − Shaoyang, China weak +21.8% − Tangshan, China weak +22.3% − Giza, Egypt confused +23.8% − Burgos, Spain strong +19.8% − Bobo Dioulasso, Burkina Faso angry +20.4% − Regensburg, Germany strong +16.0% − Medellín, Colombia strong +21.8% − Ichikawa, Japan strong +4.5% − Hachinohe, Japan strong +21.2% − Susano, Brazil strong +1.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Yao, Japan strong +22.0% − Loudi, China weak +17.8% − Chillán, Chile strong +21.7% − TIRANA, Albania sad +18.7% − Várzea Grande, Brazil strong +21.5% − Ubon Ratchathani, Thailand confused +23.5% − North York, Canada strong +20.2% − Anjo, Japan strong +2.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Warren, United States strong +22.1% − BASSE-TERRE, Guadeloupe strong +24.8% − Yokkaichi, Japan strong +19.6% − Tarragona, Spain strong +21.8% − Erbil, Iraq strong +20.1% − Daxian, China sad +23.8% − Mönchengladbach, Germany happy +14.7% − Ndola, Zambia happy +17.9% − Anyang, China confused +1.0% − Kofu, Japan confused +20.9% − La Spezia, Italy confused +22.0% − Thai Nguyen, Vietnam sad +18.1% − Mbeya, Tanzania confused +22.8% − Pocos de Caldas, Brazil strong +24.0% − Sikar, India confused +24.6% − Laval, Canada strong +10.7% − Baranovichi, Belarus strong +18.5% − Unnao, India weak +18.8% − Tyumen, Russia strong +7.1% − Fukuoka, Japan weak +13.4% − Tanga, Tanzania confused +20.3% − Mulhouse, France happy +21.4% − LA HABANA, Cuba strong +18.2% − Jhang, Pakistan strong +23.9% − Chungju, Korea, South sad +4.6% − Guarapuava, Brazil strong +18.9% − Gurgaon, India strong +14.2% − Oberhausen, Germany weak +19.1% −
Gujrat, Pakistan strong -22.0% − Tanjung Balai, Indonesia weak -4.9% − Kawachinagano, Japan happy -22.9% − Palakkad, India strong -17.6% − Braila, Romania strong -17.5% − Crewe & Nantwich, United Kingdom strong -17.6% − Darlington, United Kingdom strong -24.3% − Queimados, Brazil strong -20.4% − Amagasaki, Japan happy -24.2% − Leipzig, Germany strong -21.8% − Serra, Brazil strong -5.4% − Sergiev Posad, Russia happy -17.8% − Adana, Turkey confused -23.4% − Cochabamba, Bolivia strong -23.2% − Chimbote, Peru strong -22.8% − MONROVIA, Liberia happy -23.4% − San Jose, United States confused -24.0% − Iseyin, Nigeria happy -22.8% − Floridablanca, Colombia strong -22.9% − Gent, Belgium strong -4.2% − Rouen, France strong -6.3% − Sefton, United Kingdom strong -5.2% − Quezon City, Philippines strong -4.0% − Tampa, United States confused -19.1% − Zaria, Nigeria confused -18.6% − Bareilly, India confused -23.5% − Chicago, United States strong -18.5% − Hampton, United States strong -12.1% − Kochi, India strong -24.8% − Valencia, Venezuela confused -8.0% − Luohe, China happy -22.9% − Halifax, Canada strong -19.1% − Curitiba, Brazil strong -24.8% − Magdeburg, Germany strong -23.7% − Santiago de los Caballeros, Dominican Republic confused -18.9% − NOUMEA, New Caledonia strong -18.8% − Muntinlupa, Philippines strong -19.8% − Nhatrang, Vietnam happy -22.9% − Birmingham, United States confused -22.6% − Manchester, United Kingdom strong -9.2% − Kitchener, Canada strong -15.2% − Durango, Mexico strong -25.0% − Bridgeport, United States strong -18.9% − Sapucaia, Brazil strong -18.8% − Mojokerto, Indonesia strong -13.8% − Richmond, United States confused -21.8% − Irving, United States strong -20.4% − Sukabumi, Indonesia happy -9.2% − San Pablo, Philippines strong -18.3% − Dourados, Brazil strong -1.2% − Anand, India strong -3.1% − LISBON, Portugal strong -7.5% − Yingcheng, China happy -22.9% − Peshawar, Pakistan strong -24.4% − South Cambridgeshire, United Kingdom strong -17.7% − Toluca, Mexico confused -22.6% − Chiba, Japan strong -24.8% − Aguascalientes, Mexico strong -17.6% − Jiamusi, China strong -18.6% − Brescia, Italy strong -18.6% − Ingolstadt, Germany strong -14.9% − Geelong, Australia confused -2.1% − Alexandria, United States strong -11.9% − Fukuyama, Japan strong -22.7% − Richmond, United States confused -21.8% − Kotte, Sri Lanka confused -1.5% − Batangas, Philippines strong -22.8% − Teignbridge, United Kingdom confused -20.2% − Jinan, China strong -8.9% − Petrópolis, Brazil strong -18.6% − Kisumu, Kenya confused -19.7% − Jersey City, United States strong -23.2% −
=
Shuangyashan, China happy − Alagoinhas, Brazil strong − Yuncheng, China weak − Jinin, China happy − Evpatoriya, Ukraine happy − Taiyan, China happy − Deir El-Zor, Syrian Arab Republic happy − Dlepmealow, South Africa happy − Chinhae, Korea, South happy − Dayuan, China happy − Al-Rakka, Syrian Arab Republic happy − Xuchang, China happy − Rubtsovsk, Russia happy − Holon, Israel confused − Juazeiro do Norte, Brazil happy − Shanwei, China confused − Kurume, Japan guilty − Calithèa, Greece happy − Artux, China happy − Jastrzebie - Zdrój, Poland confused − Pinxiang, China happy − Basingstoke & Deane, United Kingdom happy − Moji-Guaçu, Brazil happy − Mudangiang, China happy − Durg, India weak − Reggio di Calabria, Italy happy − Ferraz de Vasconcelos, Brazil happy − Guangshui, China happy − Khouribga, Morocco sad − Taian, China confused − Taldikorgan, Kazakstan happy − Sao José do Rio Prêto, Brazil happy − Xiaocan, China happy − Soyapango, El Salvador happy − Lipetsk, Russia strong − Guikong, China happy − Huaiyin, China happy − Bihar Sharif, India happy − Kanhangad, India happy − Kashihara, Japan happy − Novocherkassk, Russia happy − Chongli, China weak − Syktivkar, Russia happy − Nandyal, India happy − San Fernando de Apure, Venezuela strong − Angren, Uzbekistan confused − Niiza, Japan happy − Sidi-bel-Abbès, Algeria happy − Nasariya, Iraq happy − Debrezit, Ethiopia happy − Sirjan, Iran happy − Meizhou, China strong − Kadhimain, Iraq happy − Salamanca, Mexico strong − Sao Joao de Meriti, Brazil happy − Colimas, Mexico happy − Korla, China strong − Shaown, China happy − Pórto Velho, Brazil happy − Sialkote, Pakistan happy − Kiselevsk, Russia happy − Changweon, Korea, South 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