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
Ubon Ratchathani, Thailand confused +23.5% − Kure, Japan happy +17.9% − Guilin, China strong +3.0% − Mönchengladbach, Germany happy +14.7% − Gurgaon, India strong +14.2% − Lapu-Lapu, Philippines strong +24.6% − Cangzhou, China confused +17.7% − Remscheid, Germany strong +19.6% − Burgos, Spain strong +19.8% − Remscheid, Germany strong +19.6% − The Wrekin, United Kingdom happy +23.6% − Sedgemoor, United Kingdom strong +19.3% − Smolensk, Russia happy +17.6% − Surakarta, Indonesia strong +20.9% − East Hampshire, United Kingdom confused +19.0% − Pinar del Río, Cuba confused +18.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Botou, China strong +24.2% − Jequié, Brazil strong +5.6% − Anjo, Japan strong +2.2% − Waitakere, New Zealand confused +23.5% − Guarapuava, Brazil strong +18.9% − Loudi, China weak +17.8% − Boksburg, South Africa confused +18.1% − Laval, Canada strong +10.7% − Susano, Brazil strong +1.7% − Tegal, Indonesia confused +4.6% − Vadakara, India sad +6.6% − Arad, Romania strong +11.8% − Maiduguri, Nigeria confused +21.6% − Pocos de Caldas, Brazil strong +24.0% − Jhang, Pakistan strong +23.9% − Caruaru, Brazil strong +18.6% − Vallejo, United States confused +21.9% − Hachinohe, Japan strong +21.2% − Dunfermline, United Kingdom confused +6.9% − Tameside, United Kingdom confused +19.1% − Baranovichi, Belarus strong +18.5% − Ulsan, Korea, South confused +24.5% − ROAD TOWN, British Virgin Islands confused +22.0% − Springfield, United States confused +5.1% − Beaumont, United States confused +12.1% − Chungju, Korea, South sad +4.6% − Hamilton, Canada confused +21.0% − Várzea Grande, Brazil strong +21.5% − Malabon, Philippines happy +23.0% − Mbeya, Tanzania confused +22.8% − Mulhouse, France happy +21.4% − Rangpur, Bangladesh happy +24.3% − Cardiff, United Kingdom strong +16.1% − Erlangen, Germany confused +22.9% − Gurgaon, India strong +14.2% − Yokkaichi, Japan strong +19.6% − Ulan-Ude, Russia confused +2.6% − Unnao, India weak +18.8% − Oberhausen, Germany weak +19.1% − Xichang, China confused +20.3% − San Sebastián, Spain confused +24.0% − Anyang, China confused +1.0% − Ambala, India happy +21.8% − Ndola, Zambia happy +17.9% − LA HABANA, Cuba strong +18.2% − Paraná, Argentina strong +12.3% − Zonguldak, Turkey strong +22.9% − Tacoma, United States confused +20.3% − Chungju, Korea, South sad +4.6% − Diyarbakir, Turkey strong +22.7% − Pinar del Río, Cuba confused +18.6% − Tacoma, United States confused +20.3% − Bobo Dioulasso, Burkina Faso angry +20.4% − Monywa, Myanmar confused +22.1% − Xichang, China confused +20.3% − Silay, Philippines happy +19.9% − Raniganj, India confused +23.2% − The Wrekin, United Kingdom happy +23.6% − Piracicaba, Brazil strong +20.7% − Pegu, Myanmar confused +24.1% − Jhang, Pakistan strong +23.9% − Amiens, France confused +22.5% − Erbil, Iraq strong +20.1% − La Spezia, Italy confused +22.0% − Fresno, United States strong +21.7% − Giza, Egypt confused +23.8% − Engels, Russia strong +21.7% − Tangshan, China weak +22.3% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Thai Nguyen, Vietnam sad +18.1% − Botou, China strong +24.2% − Ichikawa, Japan strong +4.5% − Chon Buri, Thailand strong +23.4% − BRIDGETOWN, Barbados confused +23.8% − Zonguldak, Turkey strong +22.9% − BISHKEK, Kyrgyzstan weak +8.9% − PANAMA, Panama strong +3.1% − Abeokuta, Nigeria happy +19.5% − Sikar, India confused +24.6% − Fukuoka, Japan weak +13.4% − Chillán, Chile strong +21.7% − ST. GEORGES, Grenada strong +19.2% − Abeokuta, Nigeria happy +19.5% − Medellín, Colombia strong +21.8% −
Jersey City, United States strong -23.2% − NOUMEA, New Caledonia strong -18.8% − Chicago, United States strong -18.5% − Sukabumi, Indonesia happy -9.2% − Braila, Romania strong -17.5% − Peshawar, Pakistan strong -24.4% − Birmingham, United States confused -22.6% − Geelong, Australia confused -2.1% − Cochabamba, Bolivia strong -23.2% − Zaria, Nigeria confused -18.6% − Sapucaia, Brazil strong -18.8% − Sefton, United Kingdom strong -5.2% − Kisumu, Kenya confused -19.7% − Darlington, United Kingdom strong -24.3% − Ingolstadt, Germany strong -14.9% − Alexandria, United States strong -11.9% − Kochi, India strong -24.8% − Luohe, China happy -22.9% − Chiba, Japan strong -24.8% − Fukuyama, Japan strong -22.7% − Kotte, Sri Lanka confused -1.5% − Sergiev Posad, Russia happy -17.8% − Halifax, Canada strong -19.1% − Iseyin, Nigeria happy -22.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Manchester, United Kingdom strong -9.2% − Dourados, Brazil strong -1.2% − Muntinlupa, Philippines strong -19.8% − Yingcheng, China happy -22.9% − MONROVIA, Liberia happy -23.4% − Hampton, United States strong -12.1% − Curitiba, Brazil strong -24.8% − San Pablo, Philippines strong -18.3% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Jiamusi, China strong -18.6% − LISBON, Portugal strong -7.5% − Tanjung Balai, Indonesia weak -4.9% − Chimbote, Peru strong -22.8% − San Jose, United States confused -24.0% − Valencia, Venezuela confused -8.0% − Anand, India strong -3.1% − Brescia, Italy strong -18.6% − Leipzig, Germany strong -21.8% − Bareilly, India confused -23.5% − Irving, United States strong -20.4% − Kawachinagano, Japan happy -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Magdeburg, Germany strong -23.7% − Jinan, China strong -8.9% − Gujrat, Pakistan strong -22.0% − Quezon City, Philippines strong -4.0% − Floridablanca, Colombia strong -22.9% − Tampa, United States confused -19.1% − Aguascalientes, Mexico strong -17.6% − Serra, Brazil strong -5.4% − Kitchener, Canada strong -15.2% − Richmond, United States confused -21.8% − Richmond, United States confused -21.8% − Petrópolis, Brazil strong -18.6% − Bridgeport, United States strong -18.9% − Amagasaki, Japan happy -24.2% − Palakkad, India strong -17.6% − Gent, Belgium strong -4.2% − Nhatrang, Vietnam happy -22.9% − Batangas, Philippines strong -22.8% − Teignbridge, United Kingdom confused -20.2% − Adana, Turkey confused -23.4% − Rouen, France strong -6.3% − Toluca, Mexico confused -22.6% − Queimados, Brazil strong -20.4% − Durango, Mexico strong -25.0% − Mojokerto, Indonesia strong -13.8% −
=
Soyapango, El Salvador happy − Sidi-bel-Abbès, Algeria happy − Artux, China happy − Shuangyashan, China happy − Reggio di Calabria, Italy happy − Calithèa, Greece happy − San Fernando de Apure, Venezuela strong − Holon, Israel confused − Khouribga, Morocco sad − Kurume, Japan guilty − Taldikorgan, Kazakstan happy − Moji-Guaçu, Brazil happy − Changweon, Korea, South happy − Huaiyin, China happy − Syktivkar, Russia happy − Chongli, China weak − Sao Joao de Meriti, Brazil happy − Shanwei, China confused − Guikong, China happy − Xuchang, China happy − Xiaocan, China happy − Angren, Uzbekistan confused − Dlepmealow, South Africa happy − Taiyan, China happy − Kashihara, Japan happy − Chinhae, Korea, South happy − Pinxiang, China happy − Novocherkassk, Russia happy − Colimas, Mexico happy − Evpatoriya, Ukraine happy − Sao José do Rio Prêto, Brazil happy − Kiselevsk, Russia happy − Salamanca, Mexico strong − Meizhou, China strong − Dayuan, China happy − Sirjan, Iran happy − Shaown, China happy − Debrezit, Ethiopia happy − Korla, China strong − Alagoinhas, Brazil strong − Guangshui, China happy − Deir El-Zor, Syrian Arab Republic happy − Taian, China confused − Niiza, Japan happy − Bihar Sharif, India happy − Basingstoke & Deane, United Kingdom happy − Al-Rakka, Syrian Arab Republic happy − Juazeiro do Norte, Brazil happy − Sialkote, Pakistan happy − Lipetsk, Russia strong − Ferraz de Vasconcelos, Brazil happy − Nasariya, Iraq happy − Jastrzebie - Zdrój, Poland confused − Mudangiang, China happy − Pórto Velho, Brazil happy − Jinin, China happy − Nandyal, India happy − Kanhangad, India happy − Durg, India weak − Yuncheng, China weak − Rubtsovsk, Russia happy − Kadhimain, Iraq 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