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
Giza, Egypt confused +23.8% − Daxian, China sad +23.8% − Pohang, Korea, South confused +21.8% − Hachinohe, Japan strong +21.2% − Thai Nguyen, Vietnam sad +18.1% − Yokkaichi, Japan strong +19.6% − Lapu-Lapu, Philippines strong +24.6% − Medellín, Colombia strong +21.8% − Nizhnekamsk, Russia confused +21.0% − Gurgaon, India strong +14.2% − Jamalpur, Bangladesh confused +17.7% − Rangpur, Bangladesh happy +24.3% − Huntington Beach, United States strong +23.2% − Anyang, China confused +1.0% − LA HABANA, Cuba strong +18.2% − Warren, United States strong +22.1% − Xichang, China confused +20.3% − Caruaru, Brazil strong +18.6% − Chon Buri, Thailand strong +23.4% − Regensburg, Germany strong +16.0% − Oberhausen, Germany weak +19.1% − Raniganj, India confused +23.2% − Amiens, France confused +22.5% − Gaya, India strong +23.6% − Chungju, Korea, South sad +4.6% − North York, Canada strong +20.2% − Malabon, Philippines happy +23.0% − Ichikawa, Japan strong +4.5% − Jhang, Pakistan strong +23.9% − Lisburn, United Kingdom strong +19.9% − Erbil, Iraq strong +20.1% − Ubon Ratchathani, Thailand confused +23.5% − ROAD TOWN, British Virgin Islands confused +22.0% − Burgos, Spain strong +19.8% − Cangzhou, China confused +17.7% − Paraná, Argentina strong +12.3% − Silay, Philippines happy +19.9% − Xichang, China confused +20.3% − Abeokuta, Nigeria happy +19.5% − Ulan-Ude, Russia confused +2.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Tanga, Tanzania confused +20.3% − Laval, Canada strong +10.7% − Kure, Japan happy +17.9% − Fresno, United States strong +21.7% − Erlangen, Germany confused +22.9% − Dunfermline, United Kingdom confused +6.9% − Pocos de Caldas, Brazil strong +24.0% − Pegu, Myanmar confused +24.1% − Sedgemoor, United Kingdom strong +19.3% − Tegal, Indonesia confused +4.6% − Tyumen, Russia strong +7.1% − Mbeya, Tanzania confused +22.8% − La Spezia, Italy confused +22.0% − Grodno, Belarus sad +19.8% − Jhang, Pakistan strong +23.9% − Zonguldak, Turkey strong +22.9% − San Sebastián, Spain confused +24.0% − Engels, Russia strong +21.7% − Loudi, China weak +17.8% − Maiduguri, Nigeria confused +21.6% − Vallejo, United States confused +21.9% − Fukuoka, Japan weak +13.4% − Tarragona, Spain strong +21.8% − Mönchengladbach, Germany happy +14.7% − Yavatmal, India guilty +24.6% − Oberhausen, Germany weak +19.1% − Gurgaon, India strong +14.2% − PANAMA, Panama strong +3.1% − Boksburg, South Africa confused +18.1% − Tangshan, China weak +22.3% − Waitakere, New Zealand confused +23.5% − Phoenix, United States strong +11.7% − ST. GEORGES, Grenada strong +19.2% − Jequié, Brazil strong +5.6% − Remscheid, Germany strong +19.6% − Botou, China strong +24.2% − Unnao, India weak +18.8% − Chillán, Chile strong +21.7% − Waverley, United Kingdom weak +24.4% − Kharagpur, India strong +17.6% − Kofu, Japan confused +20.9% − Cardiff, United Kingdom strong +16.1% − Vallejo, United States confused +21.9% − Arad, Romania strong +11.8% − Ulsan, Korea, South confused +24.5% − Baranovichi, Belarus strong +18.5% − Zonguldak, Turkey strong +22.9% − Shaoyang, China weak +21.8% − Susano, Brazil strong +1.7% − BRIDGETOWN, Barbados confused +23.8% − Mulhouse, France happy +21.4% − Guarapuava, Brazil strong +18.9% − BISHKEK, Kyrgyzstan weak +8.9% − Remscheid, Germany strong +19.6% − TIRANA, Albania sad +18.7% − Vadakara, India sad +6.6% − Tacoma, United States confused +20.3% − Piracicaba, Brazil strong +20.7% − Chungju, Korea, South sad +4.6% − Surakarta, Indonesia strong +20.9% −
Leipzig, Germany strong -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − LISBON, Portugal strong -7.5% − Chimbote, Peru strong -22.8% − Birmingham, United States confused -22.6% − Richmond, United States confused -21.8% − Zaria, Nigeria confused -18.6% − Rouen, France strong -6.3% − Bareilly, India confused -23.5% − Muntinlupa, Philippines strong -19.8% − Curitiba, Brazil strong -24.8% − Quezon City, Philippines strong -4.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Cochabamba, Bolivia strong -23.2% − Sefton, United Kingdom strong -5.2% − Geelong, Australia confused -2.1% − Tanjung Balai, Indonesia weak -4.9% − Braila, Romania strong -17.5% − Halifax, Canada strong -19.1% − Teignbridge, United Kingdom confused -20.2% − Serra, Brazil strong -5.4% − Durango, Mexico strong -25.0% − South Cambridgeshire, United Kingdom strong -17.7% − Jinan, China strong -8.9% − Anand, India strong -3.1% − Batangas, Philippines strong -22.8% − Dourados, Brazil strong -1.2% − Palakkad, India strong -17.6% − Nhatrang, Vietnam happy -22.9% − Petrópolis, Brazil strong -18.6% − Adana, Turkey confused -23.4% − Bridgeport, United States strong -18.9% − Irving, United States strong -20.4% − Gujrat, Pakistan strong -22.0% − Sukabumi, Indonesia happy -9.2% − Tampa, United States confused -19.1% − Amagasaki, Japan happy -24.2% − Yingcheng, China happy -22.9% − NOUMEA, New Caledonia strong -18.8% − San Jose, United States confused -24.0% − Hampton, United States strong -12.1% − Fukuyama, Japan strong -22.7% − Chiba, Japan strong -24.8% − Brescia, Italy strong -18.6% − Kotte, Sri Lanka confused -1.5% − Sergiev Posad, Russia happy -17.8% − Peshawar, Pakistan strong -24.4% − Queimados, Brazil strong -20.4% − MONROVIA, Liberia happy -23.4% − Kisumu, Kenya confused -19.7% − San Pablo, Philippines strong -18.3% − Jersey City, United States strong -23.2% − Luohe, China happy -22.9% − Jiamusi, China strong -18.6% − Iseyin, Nigeria happy -22.8% − Alexandria, United States strong -11.9% − Floridablanca, Colombia strong -22.9% − Magdeburg, Germany strong -23.7% − Kawachinagano, Japan happy -22.9% − Chicago, United States strong -18.5% − Manchester, United Kingdom strong -9.2% − Darlington, United Kingdom strong -24.3% − Gent, Belgium strong -4.2% − Kochi, India strong -24.8% − Aguascalientes, Mexico strong -17.6% − Toluca, Mexico confused -22.6% − Ingolstadt, Germany strong -14.9% − Kitchener, Canada strong -15.2% − Sapucaia, Brazil strong -18.8% − Richmond, United States confused -21.8% − Mojokerto, Indonesia strong -13.8% − Valencia, Venezuela confused -8.0% −
=
Kurume, Japan guilty − Salamanca, Mexico strong − Deir El-Zor, Syrian Arab Republic happy − Taldikorgan, Kazakstan happy − Guangshui, China happy − Artux, China happy − Calithèa, Greece happy − Jastrzebie - Zdrój, Poland confused − Huaiyin, China happy − Pórto Velho, Brazil happy − Soyapango, El Salvador happy − Rubtsovsk, Russia happy − Al-Rakka, Syrian Arab Republic happy − Bihar Sharif, India happy − Sao José do Rio Prêto, Brazil happy − Sidi-bel-Abbès, Algeria happy − Shuangyashan, China happy − Chongli, China weak − Reggio di Calabria, Italy happy − Khouribga, Morocco sad − Sialkote, Pakistan happy − Korla, China strong − Alagoinhas, Brazil strong − Debrezit, Ethiopia happy − Sao Joao de Meriti, Brazil happy − Changweon, Korea, South happy − Xiaocan, China happy − Novocherkassk, Russia happy − Nasariya, Iraq happy − Colimas, Mexico happy − Nandyal, India happy − Angren, Uzbekistan confused − Dayuan, China happy − Pinxiang, China happy − Juazeiro do Norte, Brazil happy − Kashihara, Japan happy − Chinhae, Korea, South happy − Taian, China confused − Holon, Israel confused − Basingstoke & Deane, United Kingdom happy − Taiyan, China happy − Jinin, China happy − San Fernando de Apure, Venezuela strong − Shaown, China happy − Guikong, China happy − Kadhimain, Iraq happy − Dlepmealow, South Africa happy − Niiza, Japan happy − Sirjan, Iran happy − Yuncheng, China weak − Meizhou, China strong − Ferraz de Vasconcelos, Brazil happy − Xuchang, China happy − Syktivkar, Russia happy − Lipetsk, Russia strong − Durg, India weak − Evpatoriya, Ukraine happy − Mudangiang, China happy − Shanwei, China confused − Kiselevsk, Russia happy − Moji-Guaçu, Brazil happy − Kanhangad, India 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