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
Mönchengladbach, Germany happy +14.7% − Unnao, India weak +18.8% − Sikar, India confused +24.6% − Vallejo, United States confused +21.9% − Dunfermline, United Kingdom confused +6.9% − Xichang, China confused +20.3% − Tacoma, United States confused +20.3% − Várzea Grande, Brazil strong +21.5% − Cardiff, United Kingdom strong +16.1% − Bobo Dioulasso, Burkina Faso angry +20.4% − Botou, China strong +24.2% − BRIDGETOWN, Barbados confused +23.8% − Boksburg, South Africa confused +18.1% − LA HABANA, Cuba strong +18.2% − Engels, Russia strong +21.7% − Tacoma, United States confused +20.3% − Tegal, Indonesia confused +4.6% − Nizhnekamsk, Russia confused +21.0% − San Sebastián, Spain confused +24.0% − ROAD TOWN, British Virgin Islands confused +22.0% − Guilin, China strong +3.0% − Tarragona, Spain strong +21.8% − Cangzhou, China confused +17.7% − Pinar del Río, Cuba confused +18.6% − Remscheid, Germany strong +19.6% − Kofu, Japan confused +20.9% − Yao, Japan strong +22.0% − Botou, China strong +24.2% − Malabon, Philippines happy +23.0% − Tanga, Tanzania confused +20.3% − Sedgemoor, United Kingdom strong +19.3% − Gurgaon, India strong +14.2% − Remscheid, Germany strong +19.6% − Vallejo, United States confused +21.9% − Yavatmal, India guilty +24.6% − Vadakara, India sad +6.6% − Phoenix, United States strong +11.7% − Anjo, Japan strong +2.2% − Regensburg, Germany strong +16.0% − Hachinohe, Japan strong +21.2% − Baranovichi, Belarus strong +18.5% − Gaya, India strong +23.6% − Tameside, United Kingdom confused +19.1% − Susano, Brazil strong +1.7% − Fukuoka, Japan weak +13.4% − Waitakere, New Zealand confused +23.5% − Pohang, Korea, South confused +21.8% − PANAMA, Panama strong +3.1% − Amiens, France confused +22.5% − Hamilton, Canada confused +21.0% − Giza, Egypt confused +23.8% − Monywa, Myanmar confused +22.1% − Kure, Japan happy +17.9% − Silay, Philippines happy +19.9% − Tangshan, China weak +22.3% − Jamalpur, Bangladesh confused +17.7% − Surakarta, Indonesia strong +20.9% − Lapu-Lapu, Philippines strong +24.6% − Tyumen, Russia strong +7.1% − Chungju, Korea, South sad +4.6% − East Hampshire, United Kingdom confused +19.0% − Ulsan, Korea, South confused +24.5% − Ulan-Ude, Russia confused +2.6% − Laval, Canada strong +10.7% − Engels, Russia strong +21.7% − Guarapuava, Brazil strong +18.9% − Mbeya, Tanzania confused +22.8% − San Cristóbal, Venezuela weak +18.5% − Maiduguri, Nigeria confused +21.6% − Anyang, China confused +1.0% − Abeokuta, Nigeria happy +19.5% − Oberhausen, Germany weak +19.1% − ST. GEORGES, Grenada strong +19.2% − Beaumont, United States confused +12.1% − Warren, United States strong +22.1% − Chungju, Korea, South sad +4.6% − Lisburn, United Kingdom strong +19.9% − La Spezia, Italy confused +22.0% − Eastleigh, United Kingdom happy +19.0% − Pocos de Caldas, Brazil strong +24.0% − Jequié, Brazil strong +5.6% − Gurgaon, India strong +14.2% − Jhang, Pakistan strong +23.9% − Rangpur, Bangladesh happy +24.3% − Ubon Ratchathani, Thailand confused +23.5% − Ambala, India happy +21.8% − Chon Buri, Thailand strong +23.4% − North York, Canada strong +20.2% − Burgos, Spain strong +19.8% − Paraná, Argentina strong +12.3% − TIRANA, Albania sad +18.7% − Ndola, Zambia happy +17.9% − Arad, Romania strong +11.8% − Erbil, Iraq strong +20.1% − Zonguldak, Turkey strong +22.9% − Pinar del Río, Cuba confused +18.6% − Grodno, Belarus sad +19.8% − Abeokuta, Nigeria happy +19.5% − Ichikawa, Japan strong +4.5% − Huntington Beach, United States strong +23.2% − Zonguldak, Turkey strong +22.9% −
Adana, Turkey confused -23.4% − Jinan, China strong -8.9% − Geelong, Australia confused -2.1% − Mojokerto, Indonesia strong -13.8% − Gujrat, Pakistan strong -22.0% − Jiamusi, China strong -18.6% − Sukabumi, Indonesia happy -9.2% − Irving, United States strong -20.4% − Chimbote, Peru strong -22.8% − Quezon City, Philippines strong -4.0% − NOUMEA, New Caledonia strong -18.8% − Kawachinagano, Japan happy -22.9% − Bridgeport, United States strong -18.9% − LISBON, Portugal strong -7.5% − Luohe, China happy -22.9% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Serra, Brazil strong -5.4% − Manchester, United Kingdom strong -9.2% − Yingcheng, China happy -22.9% − Toluca, Mexico confused -22.6% − Richmond, United States confused -21.8% − Tampa, United States confused -19.1% − Gent, Belgium strong -4.2% − Brescia, Italy strong -18.6% − Hampton, United States strong -12.1% − Sefton, United Kingdom strong -5.2% − Petrópolis, Brazil strong -18.6% − Palakkad, India strong -17.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Anand, India strong -3.1% − Alexandria, United States strong -11.9% − MONROVIA, Liberia happy -23.4% − Fukuyama, Japan strong -22.7% − Darlington, United Kingdom strong -24.3% − Valencia, Venezuela confused -8.0% − Birmingham, United States confused -22.6% − Jersey City, United States strong -23.2% − Kitchener, Canada strong -15.2% − Halifax, Canada strong -19.1% − San Jose, United States confused -24.0% − Floridablanca, Colombia strong -22.9% − Magdeburg, Germany strong -23.7% − Iseyin, Nigeria happy -22.8% − Chicago, United States strong -18.5% − Muntinlupa, Philippines strong -19.8% − Aguascalientes, Mexico strong -17.6% − Leipzig, Germany strong -21.8% − Curitiba, Brazil strong -24.8% − Queimados, Brazil strong -20.4% − Durango, Mexico strong -25.0% − Bareilly, India confused -23.5% − Richmond, United States confused -21.8% − Batangas, Philippines strong -22.8% − Kochi, India strong -24.8% − Tanjung Balai, Indonesia weak -4.9% − Cochabamba, Bolivia strong -23.2% − Rouen, France strong -6.3% − Sergiev Posad, Russia happy -17.8% − Dourados, Brazil strong -1.2% − Zaria, Nigeria confused -18.6% − Amagasaki, Japan happy -24.2% − San Pablo, Philippines strong -18.3% − Kotte, Sri Lanka confused -1.5% − Nhatrang, Vietnam happy -22.9% − Teignbridge, United Kingdom confused -20.2% − Peshawar, Pakistan strong -24.4% − South Cambridgeshire, United Kingdom strong -17.7% − Braila, Romania strong -17.5% − Chiba, Japan strong -24.8% − Kisumu, Kenya confused -19.7% − Sapucaia, Brazil strong -18.8% − Ingolstadt, Germany strong -14.9% −
=
Korla, China strong − Shanwei, China confused − Jinin, China happy − Syktivkar, Russia happy − Moji-Guaçu, Brazil happy − Khouribga, Morocco sad − Debrezit, Ethiopia happy − Ferraz de Vasconcelos, Brazil happy − Sidi-bel-Abbès, Algeria happy − Shuangyashan, China happy − Shaown, China happy − Rubtsovsk, Russia happy − Colimas, Mexico happy − Reggio di Calabria, Italy happy − Xuchang, China happy − Changweon, Korea, South happy − Guangshui, China happy − Basingstoke & Deane, United Kingdom happy − Al-Rakka, Syrian Arab Republic happy − Evpatoriya, Ukraine happy − Meizhou, China strong − Novocherkassk, Russia happy − Lipetsk, Russia strong − Alagoinhas, Brazil strong − Sao Joao de Meriti, Brazil happy − Nandyal, India happy − Xiaocan, China happy − Kiselevsk, Russia happy − Kanhangad, India happy − Kashihara, Japan happy − Kurume, Japan guilty − Deir El-Zor, Syrian Arab Republic happy − Huaiyin, China happy − Dlepmealow, South Africa happy − Chongli, China weak − Taiyan, China happy − Sialkote, Pakistan happy − Guikong, China happy − Angren, Uzbekistan confused − Sirjan, Iran happy − Nasariya, Iraq happy − Pórto Velho, Brazil happy − Chinhae, Korea, South happy − Sao José do Rio Prêto, Brazil happy − San Fernando de Apure, Venezuela strong − Niiza, Japan happy − Calithèa, Greece happy − Soyapango, El Salvador happy − Durg, India weak − Taian, China confused − Jastrzebie - Zdrój, Poland confused − Salamanca, Mexico strong − Taldikorgan, Kazakstan happy − Holon, Israel confused − Artux, China happy − Pinxiang, China happy − Dayuan, China happy − Juazeiro do Norte, Brazil happy − Mudangiang, China happy − Yuncheng, China weak − Kadhimain, Iraq happy − Bihar Sharif, 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