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
Vallejo, United States confused +21.9% − Jhang, Pakistan strong +23.9% − Gurgaon, India strong +14.2% − Caruaru, Brazil strong +18.6% − Arad, Romania strong +11.8% − Ichikawa, Japan strong +4.5% − Laval, Canada strong +10.7% − Gaya, India strong +23.6% − Loudi, China weak +17.8% − Kofu, Japan confused +20.9% − Kure, Japan happy +17.9% − Thai Nguyen, Vietnam sad +18.1% − Pegu, Myanmar confused +24.1% − Beaumont, United States confused +12.1% − Unnao, India weak +18.8% − Pinar del Río, Cuba confused +18.6% − Medellín, Colombia strong +21.8% − Tacoma, United States confused +20.3% − Guilin, China strong +3.0% − Ulsan, Korea, South confused +24.5% − Bobo Dioulasso, Burkina Faso angry +20.4% − Pinar del Río, Cuba confused +18.6% − Cardiff, United Kingdom strong +16.1% − Surakarta, Indonesia strong +20.9% − Mönchengladbach, Germany happy +14.7% − Fukuoka, Japan weak +13.4% − Lisburn, United Kingdom strong +19.9% − Yokkaichi, Japan strong +19.6% − Vallejo, United States confused +21.9% − East Hampshire, United Kingdom confused +19.0% − Engels, Russia strong +21.7% − Silay, Philippines happy +19.9% − Erlangen, Germany confused +22.9% − Jequié, Brazil strong +5.6% − Remscheid, Germany strong +19.6% − Malabon, Philippines happy +23.0% − Anjo, Japan strong +2.2% − Piracicaba, Brazil strong +20.7% − Giza, Egypt confused +23.8% − San Sebastián, Spain confused +24.0% − Ulan-Ude, Russia confused +2.6% − Cangzhou, China confused +17.7% − Abeokuta, Nigeria happy +19.5% − Tegal, Indonesia confused +4.6% − Amiens, France confused +22.5% − Nizhnekamsk, Russia confused +21.0% − Ambala, India happy +21.8% − Jamalpur, Bangladesh confused +17.7% − Tanga, Tanzania confused +20.3% − Chon Buri, Thailand strong +23.4% − Rangpur, Bangladesh happy +24.3% − Yao, Japan strong +22.0% − Oberhausen, Germany weak +19.1% − Waitakere, New Zealand confused +23.5% − ST. GEORGES, Grenada strong +19.2% − Warren, United States strong +22.1% − Chungju, Korea, South sad +4.6% − Ubon Ratchathani, Thailand confused +23.5% − Boksburg, South Africa confused +18.1% − Waverley, United Kingdom weak +24.4% − PANAMA, Panama strong +3.1% − Tyumen, Russia strong +7.1% − Diyarbakir, Turkey strong +22.7% − Ubon Ratchathani, Thailand confused +23.5% − Tarragona, Spain strong +21.8% − Oberhausen, Germany weak +19.1% − Xichang, China confused +20.3% − La Spezia, Italy confused +22.0% − Hamilton, Canada confused +21.0% − Anyang, China confused +1.0% − Botou, China strong +24.2% − Tacoma, United States confused +20.3% − BISHKEK, Kyrgyzstan weak +8.9% − Tangshan, China weak +22.3% − Maiduguri, Nigeria confused +21.6% − Ndola, Zambia happy +17.9% − The Wrekin, United Kingdom happy +23.6% − Shaoyang, China weak +21.8% − TIRANA, Albania sad +18.7% − Yavatmal, India guilty +24.6% − Vadakara, India sad +6.6% − Huntington Beach, United States strong +23.2% − Várzea Grande, Brazil strong +21.5% − Kharagpur, India strong +17.6% − Pohang, Korea, South confused +21.8% − Chungju, Korea, South sad +4.6% − Hachinohe, Japan strong +21.2% − North York, Canada strong +20.2% − Erbil, Iraq strong +20.1% − Phoenix, United States strong +11.7% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Remscheid, Germany strong +19.6% − Burgos, Spain strong +19.8% − BRIDGETOWN, Barbados confused +23.8% − Daxian, China sad +23.8% − Dunfermline, United Kingdom confused +6.9% − Zonguldak, Turkey strong +22.9% − LA HABANA, Cuba strong +18.2% − Springfield, United States confused +5.1% − Pocos de Caldas, Brazil strong +24.0% − Tameside, United Kingdom confused +19.1% −
Kawachinagano, Japan happy -22.9% − Durango, Mexico strong -25.0% − Toluca, Mexico confused -22.6% − Nhatrang, Vietnam happy -22.9% − Valencia, Venezuela confused -8.0% − Chimbote, Peru strong -22.8% − Quezon City, Philippines strong -4.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Gent, Belgium strong -4.2% − Jersey City, United States strong -23.2% − Sukabumi, Indonesia happy -9.2% − Kitchener, Canada strong -15.2% − San Jose, United States confused -24.0% − Queimados, Brazil strong -20.4% − Fukuyama, Japan strong -22.7% − Curitiba, Brazil strong -24.8% − Leipzig, Germany strong -21.8% − Brescia, Italy strong -18.6% − Serra, Brazil strong -5.4% − Floridablanca, Colombia strong -22.9% − Sefton, United Kingdom strong -5.2% − Rouen, France strong -6.3% − Magdeburg, Germany strong -23.7% − Muntinlupa, Philippines strong -19.8% − Tanjung Balai, Indonesia weak -4.9% − Chicago, United States strong -18.5% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Jiamusi, China strong -18.6% − Richmond, United States confused -21.8% − Luohe, China happy -22.9% − Manchester, United Kingdom strong -9.2% − NOUMEA, New Caledonia strong -18.8% − Alexandria, United States strong -11.9% − Teignbridge, United Kingdom confused -20.2% − Zaria, Nigeria confused -18.6% − Geelong, Australia confused -2.1% − Tampa, United States confused -19.1% − Kisumu, Kenya confused -19.7% − Sergiev Posad, Russia happy -17.8% − Jinan, China strong -8.9% − Kochi, India strong -24.8% − Amagasaki, Japan happy -24.2% − LISBON, Portugal strong -7.5% − Halifax, Canada strong -19.1% − Iseyin, Nigeria happy -22.8% − Gujrat, Pakistan strong -22.0% − Yingcheng, China happy -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Peshawar, Pakistan strong -24.4% − Darlington, United Kingdom strong -24.3% − Ingolstadt, Germany strong -14.9% − Kotte, Sri Lanka confused -1.5% − Hampton, United States strong -12.1% − Irving, United States strong -20.4% − Bareilly, India confused -23.5% − Anand, India strong -3.1% − Petrópolis, Brazil strong -18.6% − Chiba, Japan strong -24.8% − Braila, Romania strong -17.5% − Adana, Turkey confused -23.4% − Bridgeport, United States strong -18.9% − Batangas, Philippines strong -22.8% − Cochabamba, Bolivia strong -23.2% − Dourados, Brazil strong -1.2% − Birmingham, United States confused -22.6% − Mojokerto, Indonesia strong -13.8% − San Pablo, Philippines strong -18.3% − Sapucaia, Brazil strong -18.8% − Palakkad, India strong -17.6% − Aguascalientes, Mexico strong -17.6% − MONROVIA, Liberia happy -23.4% −
=
Nasariya, Iraq happy − Pinxiang, China happy − Bihar Sharif, India happy − Meizhou, China strong − Reggio di Calabria, Italy happy − Shanwei, China confused − Dayuan, China happy − San Fernando de Apure, Venezuela strong − Changweon, Korea, South happy − Kashihara, Japan happy − Al-Rakka, Syrian Arab Republic happy − Debrezit, Ethiopia happy − Sirjan, Iran happy − Chongli, China weak − Evpatoriya, Ukraine happy − Taiyan, China happy − Angren, Uzbekistan confused − Ferraz de Vasconcelos, Brazil happy − Jinin, China happy − Guikong, China happy − Kanhangad, India happy − Novocherkassk, Russia happy − Kiselevsk, Russia happy − Xiaocan, China happy − Holon, Israel confused − Chinhae, Korea, South happy − Moji-Guaçu, Brazil happy − Basingstoke & Deane, United Kingdom happy − Sao Joao de Meriti, Brazil happy − Xuchang, China happy − Deir El-Zor, Syrian Arab Republic happy − Durg, India weak − Sialkote, Pakistan happy − Nandyal, India happy − Pórto Velho, Brazil happy − Lipetsk, Russia strong − Shaown, China happy − Korla, China strong − Soyapango, El Salvador happy − Huaiyin, China happy − Yuncheng, China weak − Sidi-bel-Abbès, Algeria happy − Colimas, Mexico happy − Artux, China happy − Dlepmealow, South Africa happy − Alagoinhas, Brazil strong − Shuangyashan, China happy − Jastrzebie - Zdrój, Poland confused − Mudangiang, China happy − Syktivkar, Russia happy − Khouribga, Morocco sad − Guangshui, China happy − Sao José do Rio Prêto, Brazil happy − Calithèa, Greece happy − Taian, China confused − Kurume, Japan guilty − Kadhimain, Iraq happy − Taldikorgan, Kazakstan happy − Juazeiro do Norte, Brazil happy − Niiza, Japan happy − Rubtsovsk, Russia happy − Salamanca, Mexico strong
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