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
East Hampshire, United Kingdom confused +19.0% − San Cristóbal, Venezuela weak +18.5% − Pegu, Myanmar confused +24.1% − Botou, China strong +24.2% − Arad, Romania strong +11.8% − Phoenix, United States strong +11.7% − Lapu-Lapu, Philippines strong +24.6% − Oberhausen, Germany weak +19.1% − Vallejo, United States confused +21.9% − Susano, Brazil strong +1.7% − Hamilton, Canada confused +21.0% − Ulan-Ude, Russia confused +2.6% − Zonguldak, Turkey strong +22.9% − Pohang, Korea, South confused +21.8% − Vadakara, India sad +6.6% − San Sebastián, Spain confused +24.0% − Ndola, Zambia happy +17.9% − Silay, Philippines happy +19.9% − Engels, Russia strong +21.7% − Monywa, Myanmar confused +22.1% − LA HABANA, Cuba strong +18.2% − Piracicaba, Brazil strong +20.7% − The Wrekin, United Kingdom happy +23.6% − Remscheid, Germany strong +19.6% − Loudi, China weak +17.8% − Diyarbakir, Turkey strong +22.7% − Ambala, India happy +21.8% − Ichikawa, Japan strong +4.5% − Várzea Grande, Brazil strong +21.5% − Gaya, India strong +23.6% − Pinar del Río, Cuba confused +18.6% − Shaoyang, China weak +21.8% − Fresno, United States strong +21.7% − Vallejo, United States confused +21.9% − Sikar, India confused +24.6% − Chillán, Chile strong +21.7% − Ubon Ratchathani, Thailand confused +23.5% − Jamalpur, Bangladesh confused +17.7% − Nizhnekamsk, Russia confused +21.0% − Anjo, Japan strong +2.2% − Smolensk, Russia happy +17.6% − Guarapuava, Brazil strong +18.9% − Ubon Ratchathani, Thailand confused +23.5% − The Wrekin, United Kingdom happy +23.6% − Tacoma, United States confused +20.3% − Kofu, Japan confused +20.9% − Mbeya, Tanzania confused +22.8% − Tyumen, Russia strong +7.1% − ROAD TOWN, British Virgin Islands confused +22.0% − Abeokuta, Nigeria happy +19.5% − Tacoma, United States confused +20.3% − Tanga, Tanzania confused +20.3% − Grodno, Belarus sad +19.8% − Cangzhou, China confused +17.7% − Gurgaon, India strong +14.2% − Gurgaon, India strong +14.2% − Jhang, Pakistan strong +23.9% − Waitakere, New Zealand confused +23.5% − PANAMA, Panama strong +3.1% − Daxian, China sad +23.8% − Paraná, Argentina strong +12.3% − Beaumont, United States confused +12.1% − Amiens, France confused +22.5% − Remscheid, Germany strong +19.6% − Xichang, China confused +20.3% − Dunfermline, United Kingdom confused +6.9% − Burgos, Spain strong +19.8% − Yao, Japan strong +22.0% − Ulsan, Korea, South confused +24.5% − Yokkaichi, Japan strong +19.6% − BRIDGETOWN, Barbados confused +23.8% − Erbil, Iraq strong +20.1% − ST. GEORGES, Grenada strong +19.2% − Bobo Dioulasso, Burkina Faso angry +20.4% − Oberhausen, Germany weak +19.1% − Baranovichi, Belarus strong +18.5% − Raniganj, India confused +23.2% − Chungju, Korea, South sad +4.6% − Tameside, United Kingdom confused +19.1% − Rangpur, Bangladesh happy +24.3% − BISHKEK, Kyrgyzstan weak +8.9% − La Spezia, Italy confused +22.0% − Surakarta, Indonesia strong +20.9% − Springfield, United States confused +5.1% − Anyang, China confused +1.0% − Tangshan, China weak +22.3% − Botou, China strong +24.2% − Huntington Beach, United States strong +23.2% − Lisburn, United Kingdom strong +19.9% − Eastleigh, United Kingdom happy +19.0% − Guilin, China strong +3.0% − Malabon, Philippines happy +23.0% − Engels, Russia strong +21.7% − Abeokuta, Nigeria happy +19.5% − Sedgemoor, United Kingdom strong +19.3% − Thai Nguyen, Vietnam sad +18.1% − Giza, Egypt confused +23.8% − North York, Canada strong +20.2% − Kharagpur, India strong +17.6% − Zonguldak, Turkey strong +22.9% − Laval, Canada strong +10.7% −
Richmond, United States confused -21.8% − Braila, Romania strong -17.5% − Batangas, Philippines strong -22.8% − Durango, Mexico strong -25.0% − Queimados, Brazil strong -20.4% − Chicago, United States strong -18.5% − Fukuyama, Japan strong -22.7% − Geelong, Australia confused -2.1% − Cochabamba, Bolivia strong -23.2% − Sapucaia, Brazil strong -18.8% − Alexandria, United States strong -11.9% − Kisumu, Kenya confused -19.7% − Brescia, Italy strong -18.6% − Palakkad, India strong -17.6% − San Pablo, Philippines strong -18.3% − Muntinlupa, Philippines strong -19.8% − Aguascalientes, Mexico strong -17.6% − Hampton, United States strong -12.1% − Serra, Brazil strong -5.4% − Halifax, Canada strong -19.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Sukabumi, Indonesia happy -9.2% − Jersey City, United States strong -23.2% − Irving, United States strong -20.4% − Dourados, Brazil strong -1.2% − Quezon City, Philippines strong -4.0% − Toluca, Mexico confused -22.6% − Iseyin, Nigeria happy -22.8% − Kotte, Sri Lanka confused -1.5% − Birmingham, United States confused -22.6% − Kitchener, Canada strong -15.2% − Jiamusi, China strong -18.6% − Kochi, India strong -24.8% − Petrópolis, Brazil strong -18.6% − Tampa, United States confused -19.1% − Gujrat, Pakistan strong -22.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Zaria, Nigeria confused -18.6% − Leipzig, Germany strong -21.8% − Nhatrang, Vietnam happy -22.9% − Richmond, United States confused -21.8% − Magdeburg, Germany strong -23.7% − Darlington, United Kingdom strong -24.3% − Anand, India strong -3.1% − Mojokerto, Indonesia strong -13.8% − Teignbridge, United Kingdom confused -20.2% − Valencia, Venezuela confused -8.0% − Gent, Belgium strong -4.2% − Rouen, France strong -6.3% − Yingcheng, China happy -22.9% − MONROVIA, Liberia happy -23.4% − Chimbote, Peru strong -22.8% − Manchester, United Kingdom strong -9.2% − Kawachinagano, Japan happy -22.9% − Curitiba, Brazil strong -24.8% − Peshawar, Pakistan strong -24.4% − Sergiev Posad, Russia happy -17.8% − San Jose, United States confused -24.0% − Luohe, China happy -22.9% − Sefton, United Kingdom strong -5.2% − LISBON, Portugal strong -7.5% − Tanjung Balai, Indonesia weak -4.9% − Floridablanca, Colombia strong -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Bridgeport, United States strong -18.9% − Adana, Turkey confused -23.4% − Chiba, Japan strong -24.8% − Bareilly, India confused -23.5% − NOUMEA, New Caledonia strong -18.8% − Jinan, China strong -8.9% − Amagasaki, Japan happy -24.2% − Ingolstadt, Germany strong -14.9% −
=
Rubtsovsk, Russia happy − Nandyal, India happy − Xiaocan, China happy − Deir El-Zor, Syrian Arab Republic happy − Syktivkar, Russia happy − Sirjan, Iran happy − Al-Rakka, Syrian Arab Republic happy − Salamanca, Mexico strong − Ferraz de Vasconcelos, Brazil happy − Pórto Velho, Brazil happy − Nasariya, Iraq happy − Calithèa, Greece happy − Guikong, China happy − San Fernando de Apure, Venezuela strong − Kashihara, Japan happy − Jastrzebie - Zdrój, Poland confused − Taian, China confused − Kurume, Japan guilty − Artux, China happy − Alagoinhas, Brazil strong − Basingstoke & Deane, United Kingdom happy − Taiyan, China happy − Bihar Sharif, India happy − Huaiyin, China happy − Taldikorgan, Kazakstan happy − Colimas, Mexico happy − Sao Joao de Meriti, Brazil happy − Khouribga, Morocco sad − Soyapango, El Salvador happy − Niiza, Japan happy − Sidi-bel-Abbès, Algeria happy − Kiselevsk, Russia happy − Kanhangad, India happy − Shaown, China happy − Changweon, Korea, South happy − Guangshui, China happy − Angren, Uzbekistan confused − Juazeiro do Norte, Brazil happy − Dayuan, China happy − Kadhimain, Iraq happy − Chinhae, Korea, South happy − Xuchang, China happy − Novocherkassk, Russia happy − Jinin, China happy − Yuncheng, China weak − Holon, Israel confused − Moji-Guaçu, Brazil happy − Lipetsk, Russia strong − Sialkote, Pakistan happy − Dlepmealow, South Africa happy − Sao José do Rio Prêto, Brazil happy − Pinxiang, China happy − Mudangiang, China happy − Shuangyashan, China happy − Reggio di Calabria, Italy happy − Debrezit, Ethiopia happy − Korla, China strong − Meizhou, China strong − Chongli, China weak − Durg, India weak − Evpatoriya, Ukraine happy − Shanwei, China 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