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% − Giza, Egypt confused +23.8% − Sikar, India confused +24.6% − Jequié, Brazil strong +5.6% − Grodno, Belarus sad +19.8% − Loudi, China weak +17.8% − Tanga, Tanzania confused +20.3% − Remscheid, Germany strong +19.6% − Jhang, Pakistan strong +23.9% − Fukuoka, Japan weak +13.4% − Ndola, Zambia happy +17.9% − Ubon Ratchathani, Thailand confused +23.5% − Thai Nguyen, Vietnam sad +18.1% − Várzea Grande, Brazil strong +21.5% − Silay, Philippines happy +19.9% − Mulhouse, France happy +21.4% − Springfield, United States confused +5.1% − Diyarbakir, Turkey strong +22.7% − Ichikawa, Japan strong +4.5% − Guilin, China strong +3.0% − Tameside, United Kingdom confused +19.1% − San Sebastián, Spain confused +24.0% − Eastleigh, United Kingdom happy +19.0% − Fresno, United States strong +21.7% − Oberhausen, Germany weak +19.1% − Cardiff, United Kingdom strong +16.1% − Chungju, Korea, South sad +4.6% − Vallejo, United States confused +21.9% − ROAD TOWN, British Virgin Islands confused +22.0% − Maiduguri, Nigeria confused +21.6% − Caruaru, Brazil strong +18.6% − Vadakara, India sad +6.6% − Rangpur, Bangladesh happy +24.3% − Phoenix, United States strong +11.7% − Gurgaon, India strong +14.2% − Shaoyang, China weak +21.8% − Regensburg, Germany strong +16.0% − Engels, Russia strong +21.7% − Pohang, Korea, South confused +21.8% − Lapu-Lapu, Philippines strong +24.6% − Tangshan, China weak +22.3% − East Hampshire, United Kingdom confused +19.0% − Tyumen, Russia strong +7.1% − Mönchengladbach, Germany happy +14.7% − Tacoma, United States confused +20.3% − Erbil, Iraq strong +20.1% − Ulan-Ude, Russia confused +2.6% − Jhang, Pakistan strong +23.9% − Hamilton, Canada confused +21.0% − Yavatmal, India guilty +24.6% − The Wrekin, United Kingdom happy +23.6% − PANAMA, Panama strong +3.1% − North York, Canada strong +20.2% − Xichang, China confused +20.3% − Anyang, China confused +1.0% − Engels, Russia strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − Xichang, China confused +20.3% − Botou, China strong +24.2% − Kure, Japan happy +17.9% − Amiens, France confused +22.5% − Pegu, Myanmar confused +24.1% − Chon Buri, Thailand strong +23.4% − San Cristóbal, Venezuela weak +18.5% − Vallejo, United States confused +21.9% − Tarragona, Spain strong +21.8% − Medellín, Colombia strong +21.8% − Surakarta, Indonesia strong +20.9% − BRIDGETOWN, Barbados confused +23.8% − Abeokuta, Nigeria happy +19.5% − Boksburg, South Africa confused +18.1% − Gaya, India strong +23.6% − Arad, Romania strong +11.8% − Sedgemoor, United Kingdom strong +19.3% − Beaumont, United States confused +12.1% − Pinar del Río, Cuba confused +18.6% − Kofu, Japan confused +20.9% − TIRANA, Albania sad +18.7% − Chillán, Chile strong +21.7% − Ulsan, Korea, South confused +24.5% − The Wrekin, United Kingdom happy +23.6% − Dunfermline, United Kingdom confused +6.9% − Monywa, Myanmar confused +22.1% − Pocos de Caldas, Brazil strong +24.0% − Mbeya, Tanzania confused +22.8% − Nizhnekamsk, Russia confused +21.0% − Ambala, India happy +21.8% − Guarapuava, Brazil strong +18.9% − Remscheid, Germany strong +19.6% − Zonguldak, Turkey strong +22.9% − Waitakere, New Zealand confused +23.5% − Paraná, Argentina strong +12.3% − Raniganj, India confused +23.2% − Warren, United States strong +22.1% − BASSE-TERRE, Guadeloupe strong +24.8% − Pinar del Río, Cuba confused +18.6% − Yokkaichi, Japan strong +19.6% − Abeokuta, Nigeria happy +19.5% − Huntington Beach, United States strong +23.2% − Bobo Dioulasso, Burkina Faso angry +20.4% − La Spezia, Italy confused +22.0% −
Cochabamba, Bolivia strong -23.2% − Petrópolis, Brazil strong -18.6% − Mojokerto, Indonesia strong -13.8% − Anand, India strong -3.1% − Curitiba, Brazil strong -24.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Zaria, Nigeria confused -18.6% − Sergiev Posad, Russia happy -17.8% − Chicago, United States strong -18.5% − Adana, Turkey confused -23.4% − Irving, United States strong -20.4% − Toluca, Mexico confused -22.6% − Jersey City, United States strong -23.2% − San Jose, United States confused -24.0% − Kochi, India strong -24.8% − Magdeburg, Germany strong -23.7% − Sukabumi, Indonesia happy -9.2% − Ingolstadt, Germany strong -14.9% − Teignbridge, United Kingdom confused -20.2% − Nhatrang, Vietnam happy -22.9% − Halifax, Canada strong -19.1% − Kawachinagano, Japan happy -22.9% − Palakkad, India strong -17.6% − Braila, Romania strong -17.5% − Serra, Brazil strong -5.4% − Leipzig, Germany strong -21.8% − Muntinlupa, Philippines strong -19.8% − Valencia, Venezuela confused -8.0% − Bridgeport, United States strong -18.9% − Rouen, France strong -6.3% − San Pablo, Philippines strong -18.3% − Quezon City, Philippines strong -4.0% − Sapucaia, Brazil strong -18.8% − Aguascalientes, Mexico strong -17.6% − Floridablanca, Colombia strong -22.9% − NOUMEA, New Caledonia strong -18.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Durango, Mexico strong -25.0% − Gent, Belgium strong -4.2% − Birmingham, United States confused -22.6% − Iseyin, Nigeria happy -22.8% − Queimados, Brazil strong -20.4% − Jiamusi, China strong -18.6% − Yingcheng, China happy -22.9% − Fukuyama, Japan strong -22.7% − Brescia, Italy strong -18.6% − Darlington, United Kingdom strong -24.3% − Richmond, United States confused -21.8% − Gujrat, Pakistan strong -22.0% − Kisumu, Kenya confused -19.7% − Chimbote, Peru strong -22.8% − Kotte, Sri Lanka confused -1.5% − Dourados, Brazil strong -1.2% − Peshawar, Pakistan strong -24.4% − Alexandria, United States strong -11.9% − Jinan, China strong -8.9% − Kitchener, Canada strong -15.2% − Luohe, China happy -22.9% − Bareilly, India confused -23.5% − LISBON, Portugal strong -7.5% − Richmond, United States confused -21.8% − MONROVIA, Liberia happy -23.4% − Tanjung Balai, Indonesia weak -4.9% − Geelong, Australia confused -2.1% − Hampton, United States strong -12.1% − Manchester, United Kingdom strong -9.2% − South Cambridgeshire, United Kingdom strong -17.7% − Amagasaki, Japan happy -24.2% − Chiba, Japan strong -24.8% − Tampa, United States confused -19.1% − Batangas, Philippines strong -22.8% − Sefton, United Kingdom strong -5.2% −
=
Changweon, Korea, South happy − Durg, India weak − Korla, China strong − Juazeiro do Norte, Brazil happy − Basingstoke & Deane, United Kingdom happy − Guangshui, China happy − Dlepmealow, South Africa happy − Shuangyashan, China happy − Guikong, China happy − Jinin, China happy − Kurume, Japan guilty − Syktivkar, Russia happy − Kashihara, Japan happy − Lipetsk, Russia strong − Pinxiang, China happy − Kanhangad, India happy − San Fernando de Apure, Venezuela strong − Chongli, China weak − Sialkote, Pakistan happy − Deir El-Zor, Syrian Arab Republic happy − Huaiyin, China happy − Ferraz de Vasconcelos, Brazil happy − Colimas, Mexico happy − Xiaocan, China happy − Jastrzebie - Zdrój, Poland confused − Taiyan, China happy − Taian, China confused − Nandyal, India happy − Calithèa, Greece happy − Soyapango, El Salvador happy − Alagoinhas, Brazil strong − Holon, Israel confused − Rubtsovsk, Russia happy − Reggio di Calabria, Italy happy − Pórto Velho, Brazil happy − Kiselevsk, Russia happy − Sirjan, Iran happy − Meizhou, China strong − Evpatoriya, Ukraine happy − Taldikorgan, Kazakstan happy − Shanwei, China confused − Yuncheng, China weak − Moji-Guaçu, Brazil happy − Xuchang, China happy − Sao José do Rio Prêto, Brazil happy − Novocherkassk, Russia happy − Sao Joao de Meriti, Brazil happy − Shaown, China happy − Artux, China happy − Salamanca, Mexico strong − Mudangiang, China happy − Sidi-bel-Abbès, Algeria happy − Bihar Sharif, India happy − Niiza, Japan happy − Dayuan, China happy − Debrezit, Ethiopia happy − Nasariya, Iraq happy − Chinhae, Korea, South happy − Kadhimain, Iraq happy − Khouribga, Morocco sad − Al-Rakka, Syrian Arab Republic happy − Angren, Uzbekistan confused
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