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
Jhang, Pakistan strong +23.9% − Tangshan, China weak +22.3% − Sedgemoor, United Kingdom strong +19.3% − Dunfermline, United Kingdom confused +6.9% − Amiens, France confused +22.5% − Abeokuta, Nigeria happy +19.5% − Tegal, Indonesia confused +4.6% − Nizhnekamsk, Russia confused +21.0% − Laval, Canada strong +10.7% − Waverley, United Kingdom weak +24.4% − Sikar, India confused +24.6% − Raniganj, India confused +23.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Lapu-Lapu, Philippines strong +24.6% − Xichang, China confused +20.3% − Hachinohe, Japan strong +21.2% − Cangzhou, China confused +17.7% − Kharagpur, India strong +17.6% − Zonguldak, Turkey strong +22.9% − Springfield, United States confused +5.1% − Jequié, Brazil strong +5.6% − Arad, Romania strong +11.8% − Tacoma, United States confused +20.3% − Ubon Ratchathani, Thailand confused +23.5% − Mbeya, Tanzania confused +22.8% − Pinar del Río, Cuba confused +18.6% − Tameside, United Kingdom confused +19.1% − Loudi, China weak +17.8% − Anjo, Japan strong +2.2% − Ulan-Ude, Russia confused +2.6% − Gurgaon, India strong +14.2% − Burgos, Spain strong +19.8% − Vallejo, United States confused +21.9% − Giza, Egypt confused +23.8% − Pegu, Myanmar confused +24.1% − Tacoma, United States confused +20.3% − Phoenix, United States strong +11.7% − Tanga, Tanzania confused +20.3% − Maiduguri, Nigeria confused +21.6% − North York, Canada strong +20.2% − Yao, Japan strong +22.0% − Caruaru, Brazil strong +18.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Lisburn, United Kingdom strong +19.9% − Kofu, Japan confused +20.9% − Vadakara, India sad +6.6% − Abeokuta, Nigeria happy +19.5% − Cardiff, United Kingdom strong +16.1% − BISHKEK, Kyrgyzstan weak +8.9% − Paraná, Argentina strong +12.3% − Jamalpur, Bangladesh confused +17.7% − Pinar del Río, Cuba confused +18.6% − Tyumen, Russia strong +7.1% − San Cristóbal, Venezuela weak +18.5% − Shaoyang, China weak +21.8% − Malabon, Philippines happy +23.0% − Ndola, Zambia happy +17.9% − Yokkaichi, Japan strong +19.6% − Oberhausen, Germany weak +19.1% − Boksburg, South Africa confused +18.1% − Botou, China strong +24.2% − Vallejo, United States confused +21.9% − Thai Nguyen, Vietnam sad +18.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Fukuoka, Japan weak +13.4% − ST. GEORGES, Grenada strong +19.2% − Erbil, Iraq strong +20.1% − Anyang, China confused +1.0% − Diyarbakir, Turkey strong +22.7% − Remscheid, Germany strong +19.6% − The Wrekin, United Kingdom happy +23.6% − Chillán, Chile strong +21.7% − Chungju, Korea, South sad +4.6% − Kure, Japan happy +17.9% − Tarragona, Spain strong +21.8% − Oberhausen, Germany weak +19.1% − Pocos de Caldas, Brazil strong +24.0% − Mulhouse, France happy +21.4% − BRIDGETOWN, Barbados confused +23.8% − Unnao, India weak +18.8% − Mönchengladbach, Germany happy +14.7% − Guarapuava, Brazil strong +18.9% − Engels, Russia strong +21.7% − Baranovichi, Belarus strong +18.5% − Medellín, Colombia strong +21.8% − Xichang, China confused +20.3% − LA HABANA, Cuba strong +18.2% − Regensburg, Germany strong +16.0% − Várzea Grande, Brazil strong +21.5% − Huntington Beach, United States strong +23.2% − Engels, Russia strong +21.7% − Beaumont, United States confused +12.1% − Guilin, China strong +3.0% − TIRANA, Albania sad +18.7% − Ubon Ratchathani, Thailand confused +23.5% − Smolensk, Russia happy +17.6% − Ambala, India happy +21.8% − Gurgaon, India strong +14.2% − Ichikawa, Japan strong +4.5% − Yavatmal, India guilty +24.6% − Piracicaba, Brazil strong +20.7% −
Crewe & Nantwich, United Kingdom strong -17.6% − Magdeburg, Germany strong -23.7% − Cochabamba, Bolivia strong -23.2% − MONROVIA, Liberia happy -23.4% − Chimbote, Peru strong -22.8% − Chiba, Japan strong -24.8% − Iseyin, Nigeria happy -22.8% − Jersey City, United States strong -23.2% − Petrópolis, Brazil strong -18.6% − Jinan, China strong -8.9% − San Pablo, Philippines strong -18.3% − Alexandria, United States strong -11.9% − Dourados, Brazil strong -1.2% − Kawachinagano, Japan happy -22.9% − Ingolstadt, Germany strong -14.9% − Zaria, Nigeria confused -18.6% − LISBON, Portugal strong -7.5% − Sapucaia, Brazil strong -18.8% − Irving, United States strong -20.4% − Sukabumi, Indonesia happy -9.2% − Quezon City, Philippines strong -4.0% − Rouen, France strong -6.3% − Bareilly, India confused -23.5% − Brescia, Italy strong -18.6% − Hampton, United States strong -12.1% − Gujrat, Pakistan strong -22.0% − Nhatrang, Vietnam happy -22.9% − Kotte, Sri Lanka confused -1.5% − Chicago, United States strong -18.5% − Richmond, United States confused -21.8% − Valencia, Venezuela confused -8.0% − Halifax, Canada strong -19.1% − Fukuyama, Japan strong -22.7% − Peshawar, Pakistan strong -24.4% − Gent, Belgium strong -4.2% − Durango, Mexico strong -25.0% − Serra, Brazil strong -5.4% − Geelong, Australia confused -2.1% − Luohe, China happy -22.9% − Leipzig, Germany strong -21.8% − Aguascalientes, Mexico strong -17.6% − Kochi, India strong -24.8% − Sefton, United Kingdom strong -5.2% − Mojokerto, Indonesia strong -13.8% − Anand, India strong -3.1% − Kisumu, Kenya confused -19.7% − Kitchener, Canada strong -15.2% − Toluca, Mexico confused -22.6% − San Jose, United States confused -24.0% − NOUMEA, New Caledonia strong -18.8% − Floridablanca, Colombia strong -22.9% − Muntinlupa, Philippines strong -19.8% − Jiamusi, China strong -18.6% − Amagasaki, Japan happy -24.2% − Yingcheng, China happy -22.9% − Braila, Romania strong -17.5% − Birmingham, United States confused -22.6% − Queimados, Brazil strong -20.4% − Teignbridge, United Kingdom confused -20.2% − Manchester, United Kingdom strong -9.2% − Palakkad, India strong -17.6% − Curitiba, Brazil strong -24.8% − Batangas, Philippines strong -22.8% − Darlington, United Kingdom strong -24.3% − Richmond, United States confused -21.8% − South Cambridgeshire, United Kingdom strong -17.7% − Bridgeport, United States strong -18.9% − Tampa, United States confused -19.1% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Tanjung Balai, Indonesia weak -4.9% − Adana, Turkey confused -23.4% − Sergiev Posad, Russia happy -17.8% −
=
Kanhangad, India happy − Dayuan, China happy − Ferraz de Vasconcelos, Brazil happy − Chinhae, Korea, South happy − Holon, Israel confused − Guangshui, China happy − Kiselevsk, Russia happy − Nandyal, India happy − Reggio di Calabria, Italy happy − Evpatoriya, Ukraine happy − Shaown, China happy − Sao Joao de Meriti, Brazil happy − Novocherkassk, Russia happy − Durg, India weak − Pinxiang, China happy − Sidi-bel-Abbès, Algeria happy − Dlepmealow, South Africa happy − Mudangiang, China happy − Rubtsovsk, Russia happy − Kadhimain, Iraq happy − San Fernando de Apure, Venezuela strong − Huaiyin, China happy − Juazeiro do Norte, Brazil happy − Calithèa, Greece happy − Alagoinhas, Brazil strong − Sirjan, Iran happy − Jastrzebie - Zdrój, Poland confused − Korla, China strong − Chongli, China weak − Taian, China confused − Kurume, Japan guilty − Jinin, China happy − Moji-Guaçu, Brazil happy − Khouribga, Morocco sad − Salamanca, Mexico strong − Xiaocan, China happy − Bihar Sharif, India happy − Shuangyashan, China happy − Sialkote, Pakistan happy − Basingstoke & Deane, United Kingdom happy − Xuchang, China happy − Debrezit, Ethiopia happy − Soyapango, El Salvador happy − Nasariya, Iraq happy − Artux, China happy − Sao José do Rio Prêto, Brazil happy − Meizhou, China strong − Al-Rakka, Syrian Arab Republic happy − Pórto Velho, Brazil happy − Changweon, Korea, South happy − Taldikorgan, Kazakstan happy − Lipetsk, Russia strong − Angren, Uzbekistan confused − Shanwei, China confused − Taiyan, China happy − Colimas, Mexico happy − Yuncheng, China weak − Guikong, China happy − Syktivkar, Russia happy − Niiza, Japan happy − Kashihara, Japan happy − Deir El-Zor, Syrian Arab Republic 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