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
Tacoma, United States confused +20.3% − Daxian, China sad +23.8% − Pohang, Korea, South confused +21.8% − Medellín, Colombia strong +21.8% − The Wrekin, United Kingdom happy +23.6% − Lapu-Lapu, Philippines strong +24.6% − Xichang, China confused +20.3% − Regensburg, Germany strong +16.0% − Oberhausen, Germany weak +19.1% − Anjo, Japan strong +2.2% − Nizhnekamsk, Russia confused +21.0% − Zonguldak, Turkey strong +22.9% − BISHKEK, Kyrgyzstan weak +8.9% − Jhang, Pakistan strong +23.9% − Mulhouse, France happy +21.4% − Grodno, Belarus sad +19.8% − Kure, Japan happy +17.9% − Guilin, China strong +3.0% − The Wrekin, United Kingdom happy +23.6% − Susano, Brazil strong +1.7% − Rangpur, Bangladesh happy +24.3% − Guarapuava, Brazil strong +18.9% − Jamalpur, Bangladesh confused +17.7% − Abeokuta, Nigeria happy +19.5% − Cardiff, United Kingdom strong +16.1% − Remscheid, Germany strong +19.6% − Diyarbakir, Turkey strong +22.7% − Vadakara, India sad +6.6% − Hamilton, Canada confused +21.0% − Kofu, Japan confused +20.9% − Giza, Egypt confused +23.8% − Arad, Romania strong +11.8% − BASSE-TERRE, Guadeloupe strong +24.8% − San Sebastián, Spain confused +24.0% − Oberhausen, Germany weak +19.1% − Gurgaon, India strong +14.2% − Lisburn, United Kingdom strong +19.9% − Chon Buri, Thailand strong +23.4% − Monywa, Myanmar confused +22.1% − Maiduguri, Nigeria confused +21.6% − Abeokuta, Nigeria happy +19.5% − TIRANA, Albania sad +18.7% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% − LA HABANA, Cuba strong +18.2% − Yavatmal, India guilty +24.6% − East Hampshire, United Kingdom confused +19.0% − BRIDGETOWN, Barbados confused +23.8% − ROAD TOWN, British Virgin Islands confused +22.0% − Remscheid, Germany strong +19.6% − Botou, China strong +24.2% − Pegu, Myanmar confused +24.1% − Yao, Japan strong +22.0% − Tanga, Tanzania confused +20.3% − Burgos, Spain strong +19.8% − Amiens, France confused +22.5% − Tyumen, Russia strong +7.1% − North York, Canada strong +20.2% − Raniganj, India confused +23.2% − Phoenix, United States strong +11.7% − Engels, Russia strong +21.7% − Zonguldak, Turkey strong +22.9% − Erlangen, Germany confused +22.9% − Vallejo, United States confused +21.9% − Beaumont, United States confused +12.1% − Ulan-Ude, Russia confused +2.6% − Baranovichi, Belarus strong +18.5% − Smolensk, Russia happy +17.6% − Mbeya, Tanzania confused +22.8% − Kharagpur, India strong +17.6% − Cangzhou, China confused +17.7% − Warren, United States strong +22.1% − Botou, China strong +24.2% − Fukuoka, Japan weak +13.4% − ST. GEORGES, Grenada strong +19.2% − Pinar del Río, Cuba confused +18.6% − Springfield, United States confused +5.1% − Gaya, India strong +23.6% − Sedgemoor, United Kingdom strong +19.3% − Boksburg, South Africa confused +18.1% − Tangshan, China weak +22.3% − Várzea Grande, Brazil strong +21.5% − Tacoma, United States confused +20.3% − Tameside, United Kingdom confused +19.1% − Malabon, Philippines happy +23.0% − Jequié, Brazil strong +5.6% − Chillán, Chile strong +21.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Tegal, Indonesia confused +4.6% − La Spezia, Italy confused +22.0% − Silay, Philippines happy +19.9% − Ndola, Zambia happy +17.9% − Thai Nguyen, Vietnam sad +18.1% − Jhang, Pakistan strong +23.9% − Laval, Canada strong +10.7% − Erbil, Iraq strong +20.1% − Pinar del Río, Cuba confused +18.6% − Caruaru, Brazil strong +18.6% − Vallejo, United States confused +21.9% − San Cristóbal, Venezuela weak +18.5% − Loudi, China weak +17.8% −
Tampa, United States confused -19.1% − Irving, United States strong -20.4% − Durango, Mexico strong -25.0% − Sergiev Posad, Russia happy -17.8% − Luohe, China happy -22.9% − Serra, Brazil strong -5.4% − Kotte, Sri Lanka confused -1.5% − Alexandria, United States strong -11.9% − Teignbridge, United Kingdom confused -20.2% − Gent, Belgium strong -4.2% − Kitchener, Canada strong -15.2% − Iseyin, Nigeria happy -22.8% − Cochabamba, Bolivia strong -23.2% − Richmond, United States confused -21.8% − Dourados, Brazil strong -1.2% − Floridablanca, Colombia strong -22.9% − MONROVIA, Liberia happy -23.4% − Jinan, China strong -8.9% − Chimbote, Peru strong -22.8% − Bareilly, India confused -23.5% − Valencia, Venezuela confused -8.0% − Toluca, Mexico confused -22.6% − Leipzig, Germany strong -21.8% − Braila, Romania strong -17.5% − Rouen, France strong -6.3% − Chicago, United States strong -18.5% − Jersey City, United States strong -23.2% − Kochi, India strong -24.8% − Zaria, Nigeria confused -18.6% − Petrópolis, Brazil strong -18.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Sefton, United Kingdom strong -5.2% − Hampton, United States strong -12.1% − Mojokerto, Indonesia strong -13.8% − Quezon City, Philippines strong -4.0% − Chiba, Japan strong -24.8% − Halifax, Canada strong -19.1% − Gujrat, Pakistan strong -22.0% − Richmond, United States confused -21.8% − Bridgeport, United States strong -18.9% − Muntinlupa, Philippines strong -19.8% − Amagasaki, Japan happy -24.2% − Queimados, Brazil strong -20.4% − South Cambridgeshire, United Kingdom strong -17.7% − San Jose, United States confused -24.0% − Adana, Turkey confused -23.4% − Batangas, Philippines strong -22.8% − Tanjung Balai, Indonesia weak -4.9% − Aguascalientes, Mexico strong -17.6% − Kisumu, Kenya confused -19.7% − NOUMEA, New Caledonia strong -18.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Jiamusi, China strong -18.6% − Ingolstadt, Germany strong -14.9% − Peshawar, Pakistan strong -24.4% − San Pablo, Philippines strong -18.3% − Palakkad, India strong -17.6% − Sapucaia, Brazil strong -18.8% − Darlington, United Kingdom strong -24.3% − Yingcheng, China happy -22.9% − Anand, India strong -3.1% − Sukabumi, Indonesia happy -9.2% − Birmingham, United States confused -22.6% − Geelong, Australia confused -2.1% − Magdeburg, Germany strong -23.7% − Manchester, United Kingdom strong -9.2% − Brescia, Italy strong -18.6% − Kawachinagano, Japan happy -22.9% − LISBON, Portugal strong -7.5% − Fukuyama, Japan strong -22.7% − Nhatrang, Vietnam happy -22.9% − Curitiba, Brazil strong -24.8% −
=
Changweon, Korea, South happy − Angren, Uzbekistan confused − Durg, India weak − Xuchang, China happy − Sirjan, Iran happy − Pinxiang, China happy − Taian, China confused − Khouribga, Morocco sad − Niiza, Japan happy − Kadhimain, Iraq happy − Dayuan, China happy − Pórto Velho, Brazil happy − Sao José do Rio Prêto, Brazil happy − Korla, China strong − Chongli, China weak − Juazeiro do Norte, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Novocherkassk, Russia happy − Xiaocan, China happy − Debrezit, Ethiopia happy − San Fernando de Apure, Venezuela strong − Deir El-Zor, Syrian Arab Republic happy − Jinin, China happy − Sao Joao de Meriti, Brazil happy − Chinhae, Korea, South happy − Meizhou, China strong − Alagoinhas, Brazil strong − Basingstoke & Deane, United Kingdom happy − Rubtsovsk, Russia happy − Taldikorgan, Kazakstan happy − Shuangyashan, China happy − Jastrzebie - Zdrój, Poland confused − Guikong, China happy − Holon, Israel confused − Sialkote, Pakistan happy − Nasariya, Iraq happy − Kurume, Japan guilty − Bihar Sharif, India happy − Shaown, China happy − Salamanca, Mexico strong − Syktivkar, Russia happy − Huaiyin, China happy − Guangshui, China happy − Shanwei, China confused − Artux, China happy − Colimas, Mexico happy − Mudangiang, China happy − Al-Rakka, Syrian Arab Republic happy − Yuncheng, China weak − Nandyal, India happy − Soyapango, El Salvador happy − Reggio di Calabria, Italy happy − Kashihara, Japan happy − Kanhangad, India happy − Kiselevsk, Russia happy − Evpatoriya, Ukraine happy − Calithèa, Greece happy − Dlepmealow, South Africa happy − Taiyan, China happy − Lipetsk, Russia strong − Moji-Guaçu, Brazil happy − Sidi-bel-Abbès, Algeria 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