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
Ichikawa, Japan strong +4.5% − Nizhnekamsk, Russia confused +21.0% − Caruaru, Brazil strong +18.6% − Shaoyang, China weak +21.8% − Anjo, Japan strong +2.2% − Mulhouse, France happy +21.4% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Tanga, Tanzania confused +20.3% − Xichang, China confused +20.3% − Eastleigh, United Kingdom happy +19.0% − Lisburn, United Kingdom strong +19.9% − Botou, China strong +24.2% − Phoenix, United States strong +11.7% − Zonguldak, Turkey strong +22.9% − Ubon Ratchathani, Thailand confused +23.5% − Hachinohe, Japan strong +21.2% − San Sebastián, Spain confused +24.0% − Huntington Beach, United States strong +23.2% − TIRANA, Albania sad +18.7% − Abeokuta, Nigeria happy +19.5% − LA HABANA, Cuba strong +18.2% − Waitakere, New Zealand confused +23.5% − Gurgaon, India strong +14.2% − Daxian, China sad +23.8% − Unnao, India weak +18.8% − Tarragona, Spain strong +21.8% − Erlangen, Germany confused +22.9% − Pinar del Río, Cuba confused +18.6% − Jequié, Brazil strong +5.6% − Chungju, Korea, South sad +4.6% − Chillán, Chile strong +21.7% − Vallejo, United States confused +21.9% − Oberhausen, Germany weak +19.1% − Silay, Philippines happy +19.9% − Anyang, China confused +1.0% − Laval, Canada strong +10.7% − Burgos, Spain strong +19.8% − Jamalpur, Bangladesh confused +17.7% − Fresno, United States strong +21.7% − Cangzhou, China confused +17.7% − Ulan-Ude, Russia confused +2.6% − Tameside, United Kingdom confused +19.1% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Tacoma, United States confused +20.3% − Remscheid, Germany strong +19.6% − Ubon Ratchathani, Thailand confused +23.5% − ST. GEORGES, Grenada strong +19.2% − Dunfermline, United Kingdom confused +6.9% − Springfield, United States confused +5.1% − PANAMA, Panama strong +3.1% − Piracicaba, Brazil strong +20.7% − Rangpur, Bangladesh happy +24.3% − Beaumont, United States confused +12.1% − Sedgemoor, United Kingdom strong +19.3% − Arad, Romania strong +11.8% − Jhang, Pakistan strong +23.9% − Malabon, Philippines happy +23.0% − Diyarbakir, Turkey strong +22.7% − Erbil, Iraq strong +20.1% − Warren, United States strong +22.1% − Kofu, Japan confused +20.9% − Yavatmal, India guilty +24.6% − East Hampshire, United Kingdom confused +19.0% − Guarapuava, Brazil strong +18.9% − Grodno, Belarus sad +19.8% − The Wrekin, United Kingdom happy +23.6% − Vadakara, India sad +6.6% − Maiduguri, Nigeria confused +21.6% − Guilin, China strong +3.0% − Chon Buri, Thailand strong +23.4% − Paraná, Argentina strong +12.3% − Boksburg, South Africa confused +18.1% − Zonguldak, Turkey strong +22.9% − Amiens, France confused +22.5% − Tacoma, United States confused +20.3% − The Wrekin, United Kingdom happy +23.6% − Gaya, India strong +23.6% − Tyumen, Russia strong +7.1% − Thai Nguyen, Vietnam sad +18.1% − Mbeya, Tanzania confused +22.8% − Botou, China strong +24.2% − Vallejo, United States confused +21.9% − Tangshan, China weak +22.3% − BASSE-TERRE, Guadeloupe strong +24.8% − ROAD TOWN, British Virgin Islands confused +22.0% − Várzea Grande, Brazil strong +21.5% − Regensburg, Germany strong +16.0% − Sikar, India confused +24.6% − Raniganj, India confused +23.2% − BISHKEK, Kyrgyzstan weak +8.9% − Yokkaichi, Japan strong +19.6% − Loudi, China weak +17.8% − Ndola, Zambia happy +17.9% − Engels, Russia strong +21.7% − Kharagpur, India strong +17.6% − Lapu-Lapu, Philippines strong +24.6% − Baranovichi, Belarus strong +18.5% − Waverley, United Kingdom weak +24.4% − Susano, Brazil strong +1.7% − La Spezia, Italy confused +22.0% −
Gujrat, Pakistan strong -22.0% − Luohe, China happy -22.9% − Hampton, United States strong -12.1% − Tampa, United States confused -19.1% − NOUMEA, New Caledonia strong -18.8% − Manchester, United Kingdom strong -9.2% − Magdeburg, Germany strong -23.7% − LISBON, Portugal strong -7.5% − San Pablo, Philippines strong -18.3% − Iseyin, Nigeria happy -22.8% − Durango, Mexico strong -25.0% − Yingcheng, China happy -22.9% − Rouen, France strong -6.3% − Crewe & Nantwich, United Kingdom strong -17.6% − Kitchener, Canada strong -15.2% − Bareilly, India confused -23.5% − Richmond, United States confused -21.8% − Sefton, United Kingdom strong -5.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Sapucaia, Brazil strong -18.8% − Amagasaki, Japan happy -24.2% − Braila, Romania strong -17.5% − Teignbridge, United Kingdom confused -20.2% − Peshawar, Pakistan strong -24.4% − Dourados, Brazil strong -1.2% − Palakkad, India strong -17.6% − Toluca, Mexico confused -22.6% − Aguascalientes, Mexico strong -17.6% − San Jose, United States confused -24.0% − Jersey City, United States strong -23.2% − Floridablanca, Colombia strong -22.9% − Adana, Turkey confused -23.4% − Kotte, Sri Lanka confused -1.5% − Anand, India strong -3.1% − Bridgeport, United States strong -18.9% − Mojokerto, Indonesia strong -13.8% − Sukabumi, Indonesia happy -9.2% − Muntinlupa, Philippines strong -19.8% − Gent, Belgium strong -4.2% − Chicago, United States strong -18.5% − Jinan, China strong -8.9% − Nhatrang, Vietnam happy -22.9% − Richmond, United States confused -21.8% − Zaria, Nigeria confused -18.6% − Serra, Brazil strong -5.4% − Petrópolis, Brazil strong -18.6% − Chiba, Japan strong -24.8% − Halifax, Canada strong -19.1% − South Cambridgeshire, United Kingdom strong -17.7% − Leipzig, Germany strong -21.8% − MONROVIA, Liberia happy -23.4% − Cochabamba, Bolivia strong -23.2% − Irving, United States strong -20.4% − Kochi, India strong -24.8% − Quezon City, Philippines strong -4.0% − Darlington, United Kingdom strong -24.3% − Alexandria, United States strong -11.9% − Jiamusi, China strong -18.6% − Kawachinagano, Japan happy -22.9% − Brescia, Italy strong -18.6% − Valencia, Venezuela confused -8.0% − Birmingham, United States confused -22.6% − Geelong, Australia confused -2.1% − Ingolstadt, Germany strong -14.9% − Kisumu, Kenya confused -19.7% − Sergiev Posad, Russia happy -17.8% − Fukuyama, Japan strong -22.7% − Tanjung Balai, Indonesia weak -4.9% − Queimados, Brazil strong -20.4% − Curitiba, Brazil strong -24.8% − Batangas, Philippines strong -22.8% − Chimbote, Peru strong -22.8% −
=
Taian, China confused − Taiyan, China happy − Kanhangad, India happy − Guikong, China happy − Kadhimain, Iraq happy − Pórto Velho, Brazil happy − Niiza, Japan happy − Moji-Guaçu, Brazil happy − Shaown, China happy − Al-Rakka, Syrian Arab Republic happy − Shuangyashan, China happy − Dlepmealow, South Africa happy − Taldikorgan, Kazakstan happy − Angren, Uzbekistan confused − Ferraz de Vasconcelos, Brazil happy − Yuncheng, China weak − Sao José do Rio Prêto, Brazil happy − Xiaocan, China happy − Artux, China happy − Mudangiang, China happy − Lipetsk, Russia strong − Nandyal, India happy − Xuchang, China happy − Kashihara, Japan happy − Syktivkar, Russia happy − Chongli, China weak − Basingstoke & Deane, United Kingdom happy − Debrezit, Ethiopia happy − Jastrzebie - Zdrój, Poland confused − Meizhou, China strong − Novocherkassk, Russia happy − Guangshui, China happy − Deir El-Zor, Syrian Arab Republic happy − Reggio di Calabria, Italy happy − Nasariya, Iraq happy − Sialkote, Pakistan happy − Changweon, Korea, South happy − Colimas, Mexico happy − Shanwei, China confused − Alagoinhas, Brazil strong − Bihar Sharif, India happy − Khouribga, Morocco sad − Sirjan, Iran happy − Durg, India weak − Sidi-bel-Abbès, Algeria happy − Calithèa, Greece happy − Chinhae, Korea, South happy − Kurume, Japan guilty − Soyapango, El Salvador happy − Jinin, China happy − Evpatoriya, Ukraine happy − Rubtsovsk, Russia happy − Sao Joao de Meriti, Brazil happy − Juazeiro do Norte, Brazil happy − Korla, China strong − San Fernando de Apure, Venezuela strong − Pinxiang, China happy − Holon, Israel confused − Dayuan, China happy − Salamanca, Mexico strong − Huaiyin, China happy − Kiselevsk, Russia 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