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
Burgos, Spain strong +19.8% − Tarragona, Spain strong +21.8% − Ichikawa, Japan strong +4.5% − Engels, Russia strong +21.7% − Ambala, India happy +21.8% − Pocos de Caldas, Brazil strong +24.0% − Botou, China strong +24.2% − Malabon, Philippines happy +23.0% − Arad, Romania strong +11.8% − Jhang, Pakistan strong +23.9% − Shaoyang, China weak +21.8% − Bobo Dioulasso, Burkina Faso angry +20.4% − Ndola, Zambia happy +17.9% − Piracicaba, Brazil strong +20.7% − BRIDGETOWN, Barbados confused +23.8% − Chungju, Korea, South sad +4.6% − Waverley, United Kingdom weak +24.4% − Ubon Ratchathani, Thailand confused +23.5% − Guilin, China strong +3.0% − Ulsan, Korea, South confused +24.5% − Nizhnekamsk, Russia confused +21.0% − Ulan-Ude, Russia confused +2.6% − Cardiff, United Kingdom strong +16.1% − Regensburg, Germany strong +16.0% − The Wrekin, United Kingdom happy +23.6% − Thai Nguyen, Vietnam sad +18.1% − Pinar del Río, Cuba confused +18.6% − Chon Buri, Thailand strong +23.4% − Rangpur, Bangladesh happy +24.3% − Kofu, Japan confused +20.9% − Xichang, China confused +20.3% − Pegu, Myanmar confused +24.1% − The Wrekin, United Kingdom happy +23.6% − San Sebastián, Spain confused +24.0% − Caruaru, Brazil strong +18.6% − PANAMA, Panama strong +3.1% − Yavatmal, India guilty +24.6% − LA HABANA, Cuba strong +18.2% − Kharagpur, India strong +17.6% − Mbeya, Tanzania confused +22.8% − San Cristóbal, Venezuela weak +18.5% − BASSE-TERRE, Guadeloupe strong +24.8% − Abeokuta, Nigeria happy +19.5% − Hamilton, Canada confused +21.0% − Loudi, China weak +17.8% − Oberhausen, Germany weak +19.1% − Phoenix, United States strong +11.7% − Boksburg, South Africa confused +18.1% − Lapu-Lapu, Philippines strong +24.6% − ST. GEORGES, Grenada strong +19.2% − Anjo, Japan strong +2.2% − Smolensk, Russia happy +17.6% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Tacoma, United States confused +20.3% − Monywa, Myanmar confused +22.1% − Grodno, Belarus sad +19.8% − Amiens, France confused +22.5% − Botou, China strong +24.2% − Fresno, United States strong +21.7% − Gurgaon, India strong +14.2% − Giza, Egypt confused +23.8% − Paraná, Argentina strong +12.3% − Medellín, Colombia strong +21.8% − Várzea Grande, Brazil strong +21.5% − TIRANA, Albania sad +18.7% − Fukuoka, Japan weak +13.4% − Chungju, Korea, South sad +4.6% − Yao, Japan strong +22.0% − Remscheid, Germany strong +19.6% − Engels, Russia strong +21.7% − Gurgaon, India strong +14.2% − Raniganj, India confused +23.2% − Abeokuta, Nigeria happy +19.5% − Tegal, Indonesia confused +4.6% − Diyarbakir, Turkey strong +22.7% − Baranovichi, Belarus strong +18.5% − Jhang, Pakistan strong +23.9% − Ubon Ratchathani, Thailand confused +23.5% − Warren, United States strong +22.1% − Unnao, India weak +18.8% − Maiduguri, Nigeria confused +21.6% − Chillán, Chile strong +21.7% − Tyumen, Russia strong +7.1% − Vadakara, India sad +6.6% − Zonguldak, Turkey strong +22.9% − Tanga, Tanzania confused +20.3% − Jamalpur, Bangladesh confused +17.7% − Mulhouse, France happy +21.4% − Silay, Philippines happy +19.9% − Cangzhou, China confused +17.7% − Xichang, China confused +20.3% − Hachinohe, Japan strong +21.2% − Vallejo, United States confused +21.9% − Zonguldak, Turkey strong +22.9% − Sikar, India confused +24.6% − La Spezia, Italy confused +22.0% − Huntington Beach, United States strong +23.2% − Gaya, India strong +23.6% − Oberhausen, Germany weak +19.1% − Kure, Japan happy +17.9% − Tangshan, China weak +22.3% −
South Cambridgeshire, United Kingdom strong -17.7% − Jinan, China strong -8.9% − Gent, Belgium strong -4.2% − Yingcheng, China happy -22.9% − Gujrat, Pakistan strong -22.0% − Zaria, Nigeria confused -18.6% − MONROVIA, Liberia happy -23.4% − Geelong, Australia confused -2.1% − Manchester, United Kingdom strong -9.2% − Aguascalientes, Mexico strong -17.6% − NOUMEA, New Caledonia strong -18.8% − Sergiev Posad, Russia happy -17.8% − Palakkad, India strong -17.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Teignbridge, United Kingdom confused -20.2% − Tampa, United States confused -19.1% − Braila, Romania strong -17.5% − Brescia, Italy strong -18.6% − Muntinlupa, Philippines strong -19.8% − Irving, United States strong -20.4% − San Jose, United States confused -24.0% − Ingolstadt, Germany strong -14.9% − Bareilly, India confused -23.5% − Birmingham, United States confused -22.6% − Kotte, Sri Lanka confused -1.5% − Batangas, Philippines strong -22.8% − Leipzig, Germany strong -21.8% − Tanjung Balai, Indonesia weak -4.9% − Cochabamba, Bolivia strong -23.2% − Amagasaki, Japan happy -24.2% − Durango, Mexico strong -25.0% − Bridgeport, United States strong -18.9% − Alexandria, United States strong -11.9% − Fukuyama, Japan strong -22.7% − Richmond, United States confused -21.8% − Rouen, France strong -6.3% − Darlington, United Kingdom strong -24.3% − Halifax, Canada strong -19.1% − Chiba, Japan strong -24.8% − Sukabumi, Indonesia happy -9.2% − Valencia, Venezuela confused -8.0% − Kawachinagano, Japan happy -22.9% − Jiamusi, China strong -18.6% − San Pablo, Philippines strong -18.3% − Jersey City, United States strong -23.2% − Kisumu, Kenya confused -19.7% − Serra, Brazil strong -5.4% − Toluca, Mexico confused -22.6% − Quezon City, Philippines strong -4.0% − Luohe, China happy -22.9% − Kochi, India strong -24.8% − Floridablanca, Colombia strong -22.9% − Dourados, Brazil strong -1.2% − Adana, Turkey confused -23.4% − Kitchener, Canada strong -15.2% − Anand, India strong -3.1% − Queimados, Brazil strong -20.4% − Magdeburg, Germany strong -23.7% − Petrópolis, Brazil strong -18.6% − Peshawar, Pakistan strong -24.4% − Chicago, United States strong -18.5% − Chimbote, Peru strong -22.8% − Nhatrang, Vietnam happy -22.9% − Curitiba, Brazil strong -24.8% − Sapucaia, Brazil strong -18.8% − Hampton, United States strong -12.1% − Iseyin, Nigeria happy -22.8% − Mojokerto, Indonesia strong -13.8% − LISBON, Portugal strong -7.5% − Richmond, United States confused -21.8% − Sefton, United Kingdom strong -5.2% −
=
Kiselevsk, Russia happy − Chinhae, Korea, South happy − Moji-Guaçu, Brazil happy − Shuangyashan, China happy − Evpatoriya, Ukraine happy − Holon, Israel confused − Alagoinhas, Brazil strong − Changweon, Korea, South happy − Shaown, China happy − Korla, China strong − Durg, India weak − Dayuan, China happy − Sao Joao de Meriti, Brazil happy − Juazeiro do Norte, Brazil happy − Nandyal, India happy − Niiza, Japan happy − Kanhangad, India happy − Calithèa, Greece happy − Sao José do Rio Prêto, Brazil happy − Artux, China happy − Debrezit, Ethiopia happy − Taldikorgan, Kazakstan happy − Sidi-bel-Abbès, Algeria happy − Kashihara, Japan happy − Taian, China confused − Meizhou, China strong − Mudangiang, China happy − Dlepmealow, South Africa happy − Jastrzebie - Zdrój, Poland confused − Bihar Sharif, India happy − San Fernando de Apure, Venezuela strong − Nasariya, Iraq happy − Kadhimain, Iraq happy − Novocherkassk, Russia happy − Angren, Uzbekistan confused − Rubtsovsk, Russia happy − Chongli, China weak − Syktivkar, Russia happy − Xiaocan, China happy − Salamanca, Mexico strong − Taiyan, China happy − Guangshui, China happy − Sialkote, Pakistan happy − Kurume, Japan guilty − Yuncheng, China weak − Reggio di Calabria, Italy happy − Khouribga, Morocco sad − Huaiyin, China happy − Deir El-Zor, Syrian Arab Republic happy − Pinxiang, China happy − Shanwei, China confused − Xuchang, China happy − Sirjan, Iran happy − Lipetsk, Russia strong − Colimas, Mexico happy − Pórto Velho, Brazil happy − Al-Rakka, Syrian Arab Republic happy − Ferraz de Vasconcelos, Brazil happy − Jinin, China happy − Soyapango, El Salvador happy − Guikong, China happy − Basingstoke & Deane, United Kingdom 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