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
Tegal, Indonesia confused +4.6% − Nizhnekamsk, Russia confused +21.0% − Tacoma, United States confused +20.3% − Remscheid, Germany strong +19.6% − Jamalpur, Bangladesh confused +17.7% − Arad, Romania strong +11.8% − Daxian, China sad +23.8% − BISHKEK, Kyrgyzstan weak +8.9% − Zonguldak, Turkey strong +22.9% − Abeokuta, Nigeria happy +19.5% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Surakarta, Indonesia strong +20.9% − Raniganj, India confused +23.2% − Unnao, India weak +18.8% − Susano, Brazil strong +1.7% − Sikar, India confused +24.6% − Hamilton, Canada confused +21.0% − Vadakara, India sad +6.6% − Phoenix, United States strong +11.7% − Boksburg, South Africa confused +18.1% − Tanga, Tanzania confused +20.3% − Baranovichi, Belarus strong +18.5% − Amiens, France confused +22.5% − Chungju, Korea, South sad +4.6% − Ichikawa, Japan strong +4.5% − Grodno, Belarus sad +19.8% − East Hampshire, United Kingdom confused +19.0% − Gurgaon, India strong +14.2% − Regensburg, Germany strong +16.0% − Ndola, Zambia happy +17.9% − Rangpur, Bangladesh happy +24.3% − Kure, Japan happy +17.9% − Ubon Ratchathani, Thailand confused +23.5% − Remscheid, Germany strong +19.6% − Beaumont, United States confused +12.1% − Guarapuava, Brazil strong +18.9% − Smolensk, Russia happy +17.6% − Ulsan, Korea, South confused +24.5% − North York, Canada strong +20.2% − Vallejo, United States confused +21.9% − Caruaru, Brazil strong +18.6% − Paraná, Argentina strong +12.3% − LA HABANA, Cuba strong +18.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Anyang, China confused +1.0% − Warren, United States strong +22.1% − Pinar del Río, Cuba confused +18.6% − Xichang, China confused +20.3% − Eastleigh, United Kingdom happy +19.0% − Maiduguri, Nigeria confused +21.6% − Pegu, Myanmar confused +24.1% − Pohang, Korea, South confused +21.8% − San Sebastián, Spain confused +24.0% − BRIDGETOWN, Barbados confused +23.8% − Xichang, China confused +20.3% − Mbeya, Tanzania confused +22.8% − Kofu, Japan confused +20.9% − Gaya, India strong +23.6% − Mulhouse, France happy +21.4% − Yokkaichi, Japan strong +19.6% − Engels, Russia strong +21.7% − Jhang, Pakistan strong +23.9% − Piracicaba, Brazil strong +20.7% − Abeokuta, Nigeria happy +19.5% − Tacoma, United States confused +20.3% − Vallejo, United States confused +21.9% − Gurgaon, India strong +14.2% − PANAMA, Panama strong +3.1% − Tyumen, Russia strong +7.1% − Lisburn, United Kingdom strong +19.9% − TIRANA, Albania sad +18.7% − Huntington Beach, United States strong +23.2% − Mönchengladbach, Germany happy +14.7% − Giza, Egypt confused +23.8% − La Spezia, Italy confused +22.0% − Chon Buri, Thailand strong +23.4% − Fukuoka, Japan weak +13.4% − Fresno, United States strong +21.7% − Loudi, China weak +17.8% − Botou, China strong +24.2% − Zonguldak, Turkey strong +22.9% − ST. GEORGES, Grenada strong +19.2% − Jequié, Brazil strong +5.6% − Cangzhou, China confused +17.7% − Springfield, United States confused +5.1% − Guilin, China strong +3.0% − Jhang, Pakistan strong +23.9% − Dunfermline, United Kingdom confused +6.9% − Ambala, India happy +21.8% − Tameside, United Kingdom confused +19.1% − Shaoyang, China weak +21.8% − Medellín, Colombia strong +21.8% − Thai Nguyen, Vietnam sad +18.1% − The Wrekin, United Kingdom happy +23.6% − Malabon, Philippines happy +23.0% − Diyarbakir, Turkey strong +22.7% − Yao, Japan strong +22.0% − The Wrekin, United Kingdom happy +23.6% − Pinar del Río, Cuba confused +18.6% − BASSE-TERRE, Guadeloupe strong +24.8% − Botou, China strong +24.2% −
Anand, India strong -3.1% − Iseyin, Nigeria happy -22.8% − Mojokerto, Indonesia strong -13.8% − Jersey City, United States strong -23.2% − Floridablanca, Colombia strong -22.9% − Kisumu, Kenya confused -19.7% − Birmingham, United States confused -22.6% − Sukabumi, Indonesia happy -9.2% − LISBON, Portugal strong -7.5% − Kawachinagano, Japan happy -22.9% − Braila, Romania strong -17.5% − Zaria, Nigeria confused -18.6% − Darlington, United Kingdom strong -24.3% − Sapucaia, Brazil strong -18.8% − Cochabamba, Bolivia strong -23.2% − Gent, Belgium strong -4.2% − Kitchener, Canada strong -15.2% − Toluca, Mexico confused -22.6% − Bridgeport, United States strong -18.9% − Quezon City, Philippines strong -4.0% − Kochi, India strong -24.8% − Sergiev Posad, Russia happy -17.8% − Rouen, France strong -6.3% − San Jose, United States confused -24.0% − Amagasaki, Japan happy -24.2% − Jinan, China strong -8.9% − Serra, Brazil strong -5.4% − Petrópolis, Brazil strong -18.6% − Chiba, Japan strong -24.8% − Valencia, Venezuela confused -8.0% − Yingcheng, China happy -22.9% − Bareilly, India confused -23.5% − Halifax, Canada strong -19.1% − Magdeburg, Germany strong -23.7% − Luohe, China happy -22.9% − Tampa, United States confused -19.1% − NOUMEA, New Caledonia strong -18.8% − Durango, Mexico strong -25.0% − Teignbridge, United Kingdom confused -20.2% − Jiamusi, China strong -18.6% − Kotte, Sri Lanka confused -1.5% − Adana, Turkey confused -23.4% − Fukuyama, Japan strong -22.7% − Brescia, Italy strong -18.6% − Nhatrang, Vietnam happy -22.9% − Crewe & Nantwich, United Kingdom strong -17.6% − MONROVIA, Liberia happy -23.4% − Batangas, Philippines strong -22.8% − Richmond, United States confused -21.8% − Alexandria, United States strong -11.9% − South Cambridgeshire, United Kingdom strong -17.7% − Dourados, Brazil strong -1.2% − Palakkad, India strong -17.6% − Richmond, United States confused -21.8% − Peshawar, Pakistan strong -24.4% − Aguascalientes, Mexico strong -17.6% − Chicago, United States strong -18.5% − Ingolstadt, Germany strong -14.9% − Queimados, Brazil strong -20.4% − Geelong, Australia confused -2.1% − Irving, United States strong -20.4% − Sefton, United Kingdom strong -5.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Leipzig, Germany strong -21.8% − Tanjung Balai, Indonesia weak -4.9% − San Pablo, Philippines strong -18.3% − Manchester, United Kingdom strong -9.2% − Hampton, United States strong -12.1% − Curitiba, Brazil strong -24.8% − Muntinlupa, Philippines strong -19.8% − Chimbote, Peru strong -22.8% − Gujrat, Pakistan strong -22.0% −
=
Chinhae, Korea, South happy − San Fernando de Apure, Venezuela strong − Shuangyashan, China happy − Jastrzebie - Zdrój, Poland confused − Debrezit, Ethiopia happy − Sao Joao de Meriti, Brazil happy − Moji-Guaçu, Brazil happy − Kanhangad, India happy − Novocherkassk, Russia happy − Basingstoke & Deane, United Kingdom happy − Pórto Velho, Brazil happy − Sidi-bel-Abbès, Algeria happy − Angren, Uzbekistan confused − Pinxiang, China happy − Syktivkar, Russia happy − Holon, Israel confused − Calithèa, Greece happy − Sao José do Rio Prêto, Brazil happy − Mudangiang, China happy − Meizhou, China strong − Juazeiro do Norte, Brazil happy − Guangshui, China happy − Dlepmealow, South Africa happy − Durg, India weak − Colimas, Mexico happy − Rubtsovsk, Russia happy − Xuchang, China happy − Xiaocan, China happy − Taiyan, China happy − Reggio di Calabria, Italy happy − Taldikorgan, Kazakstan happy − Shanwei, China confused − Soyapango, El Salvador happy − Salamanca, Mexico strong − Dayuan, China happy − Jinin, China happy − Ferraz de Vasconcelos, Brazil happy − Bihar Sharif, India happy − Al-Rakka, Syrian Arab Republic happy − Kiselevsk, Russia happy − Kurume, Japan guilty − Khouribga, Morocco sad − Deir El-Zor, Syrian Arab Republic happy − Korla, China strong − Huaiyin, China happy − Taian, China confused − Kadhimain, Iraq happy − Kashihara, Japan happy − Yuncheng, China weak − Niiza, Japan happy − Nandyal, India happy − Guikong, China happy − Sialkote, Pakistan happy − Changweon, Korea, South happy − Chongli, China weak − Lipetsk, Russia strong − Alagoinhas, Brazil strong − Sirjan, Iran happy − Shaown, China happy − Evpatoriya, Ukraine happy − Nasariya, Iraq happy − Artux, China 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