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
Tanga, Tanzania confused +20.3% − Jhang, Pakistan strong +23.9% − La Spezia, Italy confused +22.0% − Jequié, Brazil strong +5.6% − Rangpur, Bangladesh happy +24.3% − BISHKEK, Kyrgyzstan weak +8.9% − Mönchengladbach, Germany happy +14.7% − Pinar del Río, Cuba confused +18.6% − Eastleigh, United Kingdom happy +19.0% − Vadakara, India sad +6.6% − Vallejo, United States confused +21.9% − Daxian, China sad +23.8% − Zonguldak, Turkey strong +22.9% − San Cristóbal, Venezuela weak +18.5% − Tangshan, China weak +22.3% − Engels, Russia strong +21.7% − Warren, United States strong +22.1% − Springfield, United States confused +5.1% − Monywa, Myanmar confused +22.1% − Lisburn, United Kingdom strong +19.9% − LA HABANA, Cuba strong +18.2% − Várzea Grande, Brazil strong +21.5% − Erlangen, Germany confused +22.9% − Oberhausen, Germany weak +19.1% − Smolensk, Russia happy +17.6% − Silay, Philippines happy +19.9% − Lapu-Lapu, Philippines strong +24.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Surakarta, Indonesia strong +20.9% − Guarapuava, Brazil strong +18.9% − ST. GEORGES, Grenada strong +19.2% − Chon Buri, Thailand strong +23.4% − Tarragona, Spain strong +21.8% − Susano, Brazil strong +1.7% − Dunfermline, United Kingdom confused +6.9% − Pegu, Myanmar confused +24.1% − Raniganj, India confused +23.2% − Thai Nguyen, Vietnam sad +18.1% − Ichikawa, Japan strong +4.5% − Yavatmal, India guilty +24.6% − Jamalpur, Bangladesh confused +17.7% − Nizhnekamsk, Russia confused +21.0% − Gurgaon, India strong +14.2% − Piracicaba, Brazil strong +20.7% − Engels, Russia strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − Burgos, Spain strong +19.8% − Tyumen, Russia strong +7.1% − Phoenix, United States strong +11.7% − Amiens, France confused +22.5% − Cardiff, United Kingdom strong +16.1% − Erbil, Iraq strong +20.1% − Sedgemoor, United Kingdom strong +19.3% − Shaoyang, China weak +21.8% − Xichang, China confused +20.3% − Hachinohe, Japan strong +21.2% − Baranovichi, Belarus strong +18.5% − Sikar, India confused +24.6% − Pinar del Río, Cuba confused +18.6% − Pocos de Caldas, Brazil strong +24.0% − East Hampshire, United Kingdom confused +19.0% − Zonguldak, Turkey strong +22.9% − Arad, Romania strong +11.8% − Hamilton, Canada confused +21.0% − Mbeya, Tanzania confused +22.8% − Kharagpur, India strong +17.6% − Abeokuta, Nigeria happy +19.5% − Tacoma, United States confused +20.3% − Ambala, India happy +21.8% − Yokkaichi, Japan strong +19.6% − Botou, China strong +24.2% − TIRANA, Albania sad +18.7% − Fukuoka, Japan weak +13.4% − Kure, Japan happy +17.9% − Waitakere, New Zealand confused +23.5% − Xichang, China confused +20.3% − Maiduguri, Nigeria confused +21.6% − Yao, Japan strong +22.0% − Waverley, United Kingdom weak +24.4% − The Wrekin, United Kingdom happy +23.6% − Grodno, Belarus sad +19.8% − Oberhausen, Germany weak +19.1% − Ndola, Zambia happy +17.9% − Cangzhou, China confused +17.7% − Anyang, China confused +1.0% − Regensburg, Germany strong +16.0% − The Wrekin, United Kingdom happy +23.6% − Kofu, Japan confused +20.9% − Malabon, Philippines happy +23.0% − Tameside, United Kingdom confused +19.1% − Tacoma, United States confused +20.3% − Guilin, China strong +3.0% − North York, Canada strong +20.2% − Remscheid, Germany strong +19.6% − Jhang, Pakistan strong +23.9% − Gaya, India strong +23.6% − Chungju, Korea, South sad +4.6% − Remscheid, Germany strong +19.6% − PANAMA, Panama strong +3.1% − Ulan-Ude, Russia confused +2.6% − Fresno, United States strong +21.7% −
Halifax, Canada strong -19.1% − Curitiba, Brazil strong -24.8% − Serra, Brazil strong -5.4% − Durango, Mexico strong -25.0% − Leipzig, Germany strong -21.8% − Richmond, United States confused -21.8% − Sergiev Posad, Russia happy -17.8% − Mojokerto, Indonesia strong -13.8% − Batangas, Philippines strong -22.8% − Palakkad, India strong -17.6% − Luohe, China happy -22.9% − Alexandria, United States strong -11.9% − Kawachinagano, Japan happy -22.9% − Brescia, Italy strong -18.6% − Manchester, United Kingdom strong -9.2% − Queimados, Brazil strong -20.4% − Hampton, United States strong -12.1% − Quezon City, Philippines strong -4.0% − Darlington, United Kingdom strong -24.3% − Jiamusi, China strong -18.6% − Geelong, Australia confused -2.1% − Tanjung Balai, Indonesia weak -4.9% − Dourados, Brazil strong -1.2% − Teignbridge, United Kingdom confused -20.2% − Chiba, Japan strong -24.8% − Richmond, United States confused -21.8% − Irving, United States strong -20.4% − Cochabamba, Bolivia strong -23.2% − Ingolstadt, Germany strong -14.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Braila, Romania strong -17.5% − Adana, Turkey confused -23.4% − Gujrat, Pakistan strong -22.0% − Jinan, China strong -8.9% − Kochi, India strong -24.8% − Magdeburg, Germany strong -23.7% − Chicago, United States strong -18.5% − Petrópolis, Brazil strong -18.6% − Gent, Belgium strong -4.2% − South Cambridgeshire, United Kingdom strong -17.7% − Anand, India strong -3.1% − Kotte, Sri Lanka confused -1.5% − Floridablanca, Colombia strong -22.9% − Fukuyama, Japan strong -22.7% − Zaria, Nigeria confused -18.6% − Sefton, United Kingdom strong -5.2% − Bareilly, India confused -23.5% − Yingcheng, China happy -22.9% − Nhatrang, Vietnam happy -22.9% − Birmingham, United States confused -22.6% − Sukabumi, Indonesia happy -9.2% − Valencia, Venezuela confused -8.0% − Peshawar, Pakistan strong -24.4% − San Jose, United States confused -24.0% − Tampa, United States confused -19.1% − Aguascalientes, Mexico strong -17.6% − Kisumu, Kenya confused -19.7% − San Pablo, Philippines strong -18.3% − Chimbote, Peru strong -22.8% − NOUMEA, New Caledonia strong -18.8% − Sapucaia, Brazil strong -18.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Bridgeport, United States strong -18.9% − Jersey City, United States strong -23.2% − MONROVIA, Liberia happy -23.4% − Rouen, France strong -6.3% − Muntinlupa, Philippines strong -19.8% − Amagasaki, Japan happy -24.2% − Kitchener, Canada strong -15.2% − Iseyin, Nigeria happy -22.8% − Toluca, Mexico confused -22.6% − LISBON, Portugal strong -7.5% −
=
Kadhimain, Iraq happy − Taldikorgan, Kazakstan happy − Novocherkassk, Russia happy − Guangshui, China happy − Sao José do Rio Prêto, Brazil happy − Taian, China confused − Mudangiang, China happy − Salamanca, Mexico strong − Moji-Guaçu, Brazil happy − Yuncheng, China weak − Xuchang, China happy − Korla, China strong − Changweon, Korea, South happy − Shuangyashan, China happy − Artux, China happy − Chinhae, Korea, South happy − Khouribga, Morocco sad − Syktivkar, Russia happy − Huaiyin, China happy − Sialkote, Pakistan happy − Nasariya, Iraq happy − Sao Joao de Meriti, Brazil happy − Pórto Velho, Brazil happy − Kashihara, Japan happy − Rubtsovsk, Russia happy − Holon, Israel confused − Xiaocan, China happy − Basingstoke & Deane, United Kingdom happy − Angren, Uzbekistan confused − Bihar Sharif, India happy − Sidi-bel-Abbès, Algeria happy − Lipetsk, Russia strong − Deir El-Zor, Syrian Arab Republic happy − Juazeiro do Norte, Brazil happy − Kanhangad, India happy − Dlepmealow, South Africa happy − Kiselevsk, Russia happy − Ferraz de Vasconcelos, Brazil happy − Debrezit, Ethiopia happy − Jinin, China happy − Colimas, Mexico happy − Shanwei, China confused − Reggio di Calabria, Italy happy − Jastrzebie - Zdrój, Poland confused − Pinxiang, China happy − Calithèa, Greece happy − Sirjan, Iran happy − Chongli, China weak − Dayuan, China happy − Nandyal, India happy − Al-Rakka, Syrian Arab Republic happy − Taiyan, China happy − San Fernando de Apure, Venezuela strong − Guikong, China happy − Meizhou, China strong − Niiza, Japan happy − Alagoinhas, Brazil strong − Shaown, China happy − Kurume, Japan guilty − Durg, India weak − Soyapango, El Salvador happy − Evpatoriya, Ukraine 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