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
TIRANA, Albania sad +18.7% − Ambala, India happy +21.8% − San Sebastián, Spain confused +24.0% − Jamalpur, Bangladesh confused +17.7% − Vadakara, India sad +6.6% − Susano, Brazil strong +1.7% − San Cristóbal, Venezuela weak +18.5% − Gurgaon, India strong +14.2% − Regensburg, Germany strong +16.0% − Mönchengladbach, Germany happy +14.7% − Chungju, Korea, South sad +4.6% − Guilin, China strong +3.0% − La Spezia, Italy confused +22.0% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Beaumont, United States confused +12.1% − Guarapuava, Brazil strong +18.9% − Surakarta, Indonesia strong +20.9% − Sedgemoor, United Kingdom strong +19.3% − The Wrekin, United Kingdom happy +23.6% − Engels, Russia strong +21.7% − Tarragona, Spain strong +21.8% − Remscheid, Germany strong +19.6% − Dunfermline, United Kingdom confused +6.9% − Shaoyang, China weak +21.8% − Paraná, Argentina strong +12.3% − Yavatmal, India guilty +24.6% − Tangshan, China weak +22.3% − Abeokuta, Nigeria happy +19.5% − Engels, Russia strong +21.7% − Chillán, Chile strong +21.7% − Xichang, China confused +20.3% − Jhang, Pakistan strong +23.9% − Zonguldak, Turkey strong +22.9% − ST. GEORGES, Grenada strong +19.2% − Abeokuta, Nigeria happy +19.5% − Hamilton, Canada confused +21.0% − Mbeya, Tanzania confused +22.8% − Daxian, China sad +23.8% − Botou, China strong +24.2% − Hachinohe, Japan strong +21.2% − Tameside, United Kingdom confused +19.1% − Sikar, India confused +24.6% − Silay, Philippines happy +19.9% − Cangzhou, China confused +17.7% − Diyarbakir, Turkey strong +22.7% − Laval, Canada strong +10.7% − Grodno, Belarus sad +19.8% − Nizhnekamsk, Russia confused +21.0% − BASSE-TERRE, Guadeloupe strong +24.8% − Unnao, India weak +18.8% − PANAMA, Panama strong +3.1% − Ulsan, Korea, South confused +24.5% − Kofu, Japan confused +20.9% − Xichang, China confused +20.3% − Eastleigh, United Kingdom happy +19.0% − Thai Nguyen, Vietnam sad +18.1% − Tegal, Indonesia confused +4.6% − Medellín, Colombia strong +21.8% − Yao, Japan strong +22.0% − Anjo, Japan strong +2.2% − Jhang, Pakistan strong +23.9% − Remscheid, Germany strong +19.6% − Fresno, United States strong +21.7% − Pohang, Korea, South confused +21.8% − Huntington Beach, United States strong +23.2% − Tyumen, Russia strong +7.1% − BRIDGETOWN, Barbados confused +23.8% − Maiduguri, Nigeria confused +21.6% − Gaya, India strong +23.6% − Gurgaon, India strong +14.2% − Ichikawa, Japan strong +4.5% − ROAD TOWN, British Virgin Islands confused +22.0% − BISHKEK, Kyrgyzstan weak +8.9% − Arad, Romania strong +11.8% − East Hampshire, United Kingdom confused +19.0% − Vallejo, United States confused +21.9% − Tanga, Tanzania confused +20.3% − Lapu-Lapu, Philippines strong +24.6% − Tacoma, United States confused +20.3% − Raniganj, India confused +23.2% − Amiens, France confused +22.5% − Ubon Ratchathani, Thailand confused +23.5% − Chon Buri, Thailand strong +23.4% − Smolensk, Russia happy +17.6% − Lisburn, United Kingdom strong +19.9% − Baranovichi, Belarus strong +18.5% − Kharagpur, India strong +17.6% − Kure, Japan happy +17.9% − Ubon Ratchathani, Thailand confused +23.5% − North York, Canada strong +20.2% − Caruaru, Brazil strong +18.6% − Warren, United States strong +22.1% − Fukuoka, Japan weak +13.4% − Erbil, Iraq strong +20.1% − Burgos, Spain strong +19.8% − Monywa, Myanmar confused +22.1% − Piracicaba, Brazil strong +20.7% − Giza, Egypt confused +23.8% − Botou, China strong +24.2% − Pinar del Río, Cuba confused +18.6% − Yokkaichi, Japan strong +19.6% −
Halifax, Canada strong -19.1% − Sergiev Posad, Russia happy -17.8% − Kisumu, Kenya confused -19.7% − Aguascalientes, Mexico strong -17.6% − Amagasaki, Japan happy -24.2% − Braila, Romania strong -17.5% − Gujrat, Pakistan strong -22.0% − Crewe & Nantwich, United Kingdom strong -17.6% − MONROVIA, Liberia happy -23.4% − NOUMEA, New Caledonia strong -18.8% − Mojokerto, Indonesia strong -13.8% − Richmond, United States confused -21.8% − Geelong, Australia confused -2.1% − Bareilly, India confused -23.5% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Tanjung Balai, Indonesia weak -4.9% − Fukuyama, Japan strong -22.7% − Leipzig, Germany strong -21.8% − Kochi, India strong -24.8% − Kotte, Sri Lanka confused -1.5% − Rouen, France strong -6.3% − Iseyin, Nigeria happy -22.8% − Durango, Mexico strong -25.0% − Serra, Brazil strong -5.4% − Tampa, United States confused -19.1% − Kawachinagano, Japan happy -22.9% − Darlington, United Kingdom strong -24.3% − Batangas, Philippines strong -22.8% − Chimbote, Peru strong -22.8% − Chicago, United States strong -18.5% − Gent, Belgium strong -4.2% − Chiba, Japan strong -24.8% − Palakkad, India strong -17.6% − Sefton, United Kingdom strong -5.2% − Magdeburg, Germany strong -23.7% − Muntinlupa, Philippines strong -19.8% − Queimados, Brazil strong -20.4% − Sapucaia, Brazil strong -18.8% − Quezon City, Philippines strong -4.0% − Peshawar, Pakistan strong -24.4% − San Jose, United States confused -24.0% − Sukabumi, Indonesia happy -9.2% − Curitiba, Brazil strong -24.8% − Bridgeport, United States strong -18.9% − Adana, Turkey confused -23.4% − Dourados, Brazil strong -1.2% − Petrópolis, Brazil strong -18.6% − Zaria, Nigeria confused -18.6% − Valencia, Venezuela confused -8.0% − Cochabamba, Bolivia strong -23.2% − Manchester, United Kingdom strong -9.2% − Anand, India strong -3.1% − Jinan, China strong -8.9% − Nhatrang, Vietnam happy -22.9% − Jersey City, United States strong -23.2% − Richmond, United States confused -21.8% − Yingcheng, China happy -22.9% − Birmingham, United States confused -22.6% − Floridablanca, Colombia strong -22.9% − Hampton, United States strong -12.1% − Luohe, China happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Ingolstadt, Germany strong -14.9% − Irving, United States strong -20.4% − San Pablo, Philippines strong -18.3% − LISBON, Portugal strong -7.5% − South Cambridgeshire, United Kingdom strong -17.7% − Alexandria, United States strong -11.9% − Brescia, Italy strong -18.6% − Jiamusi, China strong -18.6% − Toluca, Mexico confused -22.6% − Kitchener, Canada strong -15.2% −
=
Meizhou, China strong − Kiselevsk, Russia happy − Durg, India weak − Jinin, China happy − Shaown, China happy − Lipetsk, Russia strong − Soyapango, El Salvador happy − Changweon, Korea, South happy − San Fernando de Apure, Venezuela strong − Juazeiro do Norte, Brazil happy − Guangshui, China happy − Sao Joao de Meriti, Brazil happy − Dayuan, China happy − Sialkote, Pakistan happy − Colimas, Mexico happy − Sao José do Rio Prêto, Brazil happy − Shuangyashan, China happy − Chongli, China weak − Shanwei, China confused − Al-Rakka, Syrian Arab Republic happy − Kanhangad, India happy − Guikong, China happy − Kadhimain, Iraq happy − Pórto Velho, Brazil happy − Novocherkassk, Russia happy − Kurume, Japan guilty − Moji-Guaçu, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Artux, China happy − Angren, Uzbekistan confused − Taian, China confused − Sidi-bel-Abbès, Algeria happy − Bihar Sharif, India happy − Taiyan, China happy − Basingstoke & Deane, United Kingdom happy − Dlepmealow, South Africa happy − Kashihara, Japan happy − Deir El-Zor, Syrian Arab Republic happy − Alagoinhas, Brazil strong − Niiza, Japan happy − Jastrzebie - Zdrój, Poland confused − Huaiyin, China happy − Taldikorgan, Kazakstan happy − Chinhae, Korea, South happy − Korla, China strong − Salamanca, Mexico strong − Rubtsovsk, Russia happy − Nandyal, India happy − Xuchang, China happy − Reggio di Calabria, Italy happy − Debrezit, Ethiopia happy − Xiaocan, China happy − Syktivkar, Russia happy − Pinxiang, China happy − Yuncheng, China weak − Evpatoriya, Ukraine happy − Mudangiang, China happy − Sirjan, Iran happy − Holon, Israel confused − Nasariya, Iraq happy − Khouribga, Morocco sad − Calithèa, Greece 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