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
Gaya, India strong +23.6% − Waverley, United Kingdom weak +24.4% − Xichang, China confused +20.3% − Vallejo, United States confused +21.9% − Tacoma, United States confused +20.3% − Nizhnekamsk, Russia confused +21.0% − Abeokuta, Nigeria happy +19.5% − Paraná, Argentina strong +12.3% − Tanga, Tanzania confused +20.3% − San Sebastián, Spain confused +24.0% − Burgos, Spain strong +19.8% − TIRANA, Albania sad +18.7% − Yao, Japan strong +22.0% − Ubon Ratchathani, Thailand confused +23.5% − Ambala, India happy +21.8% − Tacoma, United States confused +20.3% − Raniganj, India confused +23.2% − Vadakara, India sad +6.6% − Várzea Grande, Brazil strong +21.5% − Anyang, China confused +1.0% − North York, Canada strong +20.2% − Ulsan, Korea, South confused +24.5% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Jequié, Brazil strong +5.6% − Zonguldak, Turkey strong +22.9% − Ulan-Ude, Russia confused +2.6% − Fukuoka, Japan weak +13.4% − Laval, Canada strong +10.7% − Cangzhou, China confused +17.7% − Silay, Philippines happy +19.9% − Remscheid, Germany strong +19.6% − Piracicaba, Brazil strong +20.7% − Oberhausen, Germany weak +19.1% − Regensburg, Germany strong +16.0% − La Spezia, Italy confused +22.0% − ST. GEORGES, Grenada strong +19.2% − Ndola, Zambia happy +17.9% − Kofu, Japan confused +20.9% − Kharagpur, India strong +17.6% − Anjo, Japan strong +2.2% − Lisburn, United Kingdom strong +19.9% − Tangshan, China weak +22.3% − Pohang, Korea, South confused +21.8% − Gurgaon, India strong +14.2% − Arad, Romania strong +11.8% − Cardiff, United Kingdom strong +16.1% − Yavatmal, India guilty +24.6% − Rangpur, Bangladesh happy +24.3% − Ubon Ratchathani, Thailand confused +23.5% − Smolensk, Russia happy +17.6% − Zonguldak, Turkey strong +22.9% − Oberhausen, Germany weak +19.1% − Chungju, Korea, South sad +4.6% − Monywa, Myanmar confused +22.1% − Tegal, Indonesia confused +4.6% − Bobo Dioulasso, Burkina Faso angry +20.4% − Caruaru, Brazil strong +18.6% − Chillán, Chile strong +21.7% − Giza, Egypt confused +23.8% − Fresno, United States strong +21.7% − Abeokuta, Nigeria happy +19.5% − Maiduguri, Nigeria confused +21.6% − Erlangen, Germany confused +22.9% − Gurgaon, India strong +14.2% − The Wrekin, United Kingdom happy +23.6% − Chungju, Korea, South sad +4.6% − Jhang, Pakistan strong +23.9% − Erbil, Iraq strong +20.1% − Huntington Beach, United States strong +23.2% − Hamilton, Canada confused +21.0% − Diyarbakir, Turkey strong +22.7% − BASSE-TERRE, Guadeloupe strong +24.8% − Surakarta, Indonesia strong +20.9% − Amiens, France confused +22.5% − Remscheid, Germany strong +19.6% − Mulhouse, France happy +21.4% − Malabon, Philippines happy +23.0% − Baranovichi, Belarus strong +18.5% − Tameside, United Kingdom confused +19.1% − Lapu-Lapu, Philippines strong +24.6% − BRIDGETOWN, Barbados confused +23.8% − Dunfermline, United Kingdom confused +6.9% − Unnao, India weak +18.8% − Hachinohe, Japan strong +21.2% − Eastleigh, United Kingdom happy +19.0% − Thai Nguyen, Vietnam sad +18.1% − Phoenix, United States strong +11.7% − Medellín, Colombia strong +21.8% − Chon Buri, Thailand strong +23.4% − Sikar, India confused +24.6% − Loudi, China weak +17.8% − ROAD TOWN, British Virgin Islands confused +22.0% − Tarragona, Spain strong +21.8% − Jhang, Pakistan strong +23.9% − Boksburg, South Africa confused +18.1% − Guarapuava, Brazil strong +18.9% − Mbeya, Tanzania confused +22.8% − Ichikawa, Japan strong +4.5% − Springfield, United States confused +5.1% − The Wrekin, United Kingdom happy +23.6% − Vallejo, United States confused +21.9% −
Hampton, United States strong -12.1% − Richmond, United States confused -21.8% − Chicago, United States strong -18.5% − Teignbridge, United Kingdom confused -20.2% − Amagasaki, Japan happy -24.2% − Richmond, United States confused -21.8% − Yingcheng, China happy -22.9% − Muntinlupa, Philippines strong -19.8% − Halifax, Canada strong -19.1% − Mojokerto, Indonesia strong -13.8% − Gent, Belgium strong -4.2% − Kitchener, Canada strong -15.2% − Curitiba, Brazil strong -24.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Toluca, Mexico confused -22.6% − Anand, India strong -3.1% − Sukabumi, Indonesia happy -9.2% − Aguascalientes, Mexico strong -17.6% − Kawachinagano, Japan happy -22.9% − Ingolstadt, Germany strong -14.9% − San Jose, United States confused -24.0% − San Pablo, Philippines strong -18.3% − Queimados, Brazil strong -20.4% − Bareilly, India confused -23.5% − Rouen, France strong -6.3% − Kisumu, Kenya confused -19.7% − Quezon City, Philippines strong -4.0% − Durango, Mexico strong -25.0% − Braila, Romania strong -17.5% − Dourados, Brazil strong -1.2% − Sapucaia, Brazil strong -18.8% − Chiba, Japan strong -24.8% − Floridablanca, Colombia strong -22.9% − Valencia, Venezuela confused -8.0% − Irving, United States strong -20.4% − Jinan, China strong -8.9% − Serra, Brazil strong -5.4% − Zaria, Nigeria confused -18.6% − Birmingham, United States confused -22.6% − Sefton, United Kingdom strong -5.2% − Kochi, India strong -24.8% − Jiamusi, China strong -18.6% − Nhatrang, Vietnam happy -22.9% − Kotte, Sri Lanka confused -1.5% − Jersey City, United States strong -23.2% − Petrópolis, Brazil strong -18.6% − Gujrat, Pakistan strong -22.0% − Chimbote, Peru strong -22.8% − LISBON, Portugal strong -7.5% − Leipzig, Germany strong -21.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Tampa, United States confused -19.1% − Luohe, China happy -22.9% − Sergiev Posad, Russia happy -17.8% − Tanjung Balai, Indonesia weak -4.9% − Fukuyama, Japan strong -22.7% − Cochabamba, Bolivia strong -23.2% − Batangas, Philippines strong -22.8% − South Cambridgeshire, United Kingdom strong -17.7% − NOUMEA, New Caledonia strong -18.8% − Iseyin, Nigeria happy -22.8% − Adana, Turkey confused -23.4% − Palakkad, India strong -17.6% − Bridgeport, United States strong -18.9% − MONROVIA, Liberia happy -23.4% − Manchester, United Kingdom strong -9.2% − Brescia, Italy strong -18.6% − Alexandria, United States strong -11.9% − Darlington, United Kingdom strong -24.3% − Magdeburg, Germany strong -23.7% − Peshawar, Pakistan strong -24.4% − Geelong, Australia confused -2.1% −
=
Dayuan, China happy − Al-Rakka, Syrian Arab Republic happy − Taian, China confused − Durg, India weak − Shaown, China happy − Changweon, Korea, South happy − Colimas, Mexico happy − Taldikorgan, Kazakstan happy − Niiza, Japan happy − Meizhou, China strong − Kashihara, Japan happy − Sao José do Rio Prêto, Brazil happy − Moji-Guaçu, Brazil happy − Yuncheng, China weak − Soyapango, El Salvador happy − Novocherkassk, Russia happy − Kiselevsk, Russia happy − Chinhae, Korea, South happy − Artux, China happy − Syktivkar, Russia happy − Pinxiang, China happy − Bihar Sharif, India happy − Juazeiro do Norte, Brazil happy − Khouribga, Morocco sad − Nasariya, Iraq happy − Dlepmealow, South Africa happy − Shanwei, China confused − Sialkote, Pakistan happy − Salamanca, Mexico strong − San Fernando de Apure, Venezuela strong − Debrezit, Ethiopia happy − Kurume, Japan guilty − Deir El-Zor, Syrian Arab Republic happy − Lipetsk, Russia strong − Pórto Velho, Brazil happy − Guangshui, China happy − Basingstoke & Deane, United Kingdom happy − Reggio di Calabria, Italy happy − Shuangyashan, China happy − Xuchang, China happy − Kanhangad, India happy − Sirjan, Iran happy − Chongli, China weak − Guikong, China happy − Kadhimain, Iraq happy − Jastrzebie - Zdrój, Poland confused − Angren, Uzbekistan confused − Holon, Israel confused − Mudangiang, China happy − Evpatoriya, Ukraine happy − Sidi-bel-Abbès, Algeria happy − Nandyal, India happy − Taiyan, China happy − Ferraz de Vasconcelos, Brazil happy − Huaiyin, China happy − Jinin, China happy − Rubtsovsk, Russia happy − Calithèa, Greece happy − Alagoinhas, Brazil strong − Sao Joao de Meriti, Brazil happy − Korla, China strong − Xiaocan, 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