E-Forecast

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

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Pinar del Río, Cuba confused +18.6% − The Wrekin, United Kingdom happy +23.6% − Laval, Canada strong +10.7% − Waitakere, New Zealand confused +23.5% − Mbeya, Tanzania confused +22.8% − Lapu-Lapu, Philippines strong +24.6% − Boksburg, South Africa confused +18.1% − Diyarbakir, Turkey strong +22.7% − Bobo Dioulasso, Burkina Faso angry +20.4% − Chon Buri, Thailand strong +23.4% − Anjo, Japan strong +2.2% − Pinar del Río, Cuba confused +18.6% − Botou, China strong +24.2% − Ulan-Ude, Russia confused +2.6% − Jamalpur, Bangladesh confused +17.7% − Hachinohe, Japan strong +21.2% − Gurgaon, India strong +14.2% − Vallejo, United States confused +21.9% − Cangzhou, China confused +17.7% − North York, Canada strong +20.2% − ROAD TOWN, British Virgin Islands confused +22.0% − Kure, Japan happy +17.9% − Pohang, Korea, South confused +21.8% − The Wrekin, United Kingdom happy +23.6% − San Cristóbal, Venezuela weak +18.5% − Huntington Beach, United States strong +23.2% − Tangshan, China weak +22.3% − Zonguldak, Turkey strong +22.9% − Cardiff, United Kingdom strong +16.1% − La Spezia, Italy confused +22.0% − Erbil, Iraq strong +20.1% − Loudi, China weak +17.8% − Dunfermline, United Kingdom confused +6.9% − Ambala, India happy +21.8% − Eastleigh, United Kingdom happy +19.0% − Ndola, Zambia happy +17.9% − Anyang, China confused +1.0% − Tanga, Tanzania confused +20.3% − Várzea Grande, Brazil strong +21.5% − Chungju, Korea, South sad +4.6% − Vallejo, United States confused +21.9% − Sikar, India confused +24.6% − Arad, Romania strong +11.8% − Botou, China strong +24.2% − Jhang, Pakistan strong +23.9% − Oberhausen, Germany weak +19.1% − Susano, Brazil strong +1.7% − Remscheid, Germany strong +19.6% − Raniganj, India confused +23.2% − Thai Nguyen, Vietnam sad +18.1% − Engels, Russia strong +21.7% − Daxian, China sad +23.8% − Paraná, Argentina strong +12.3% − Ulsan, Korea, South confused +24.5% − Remscheid, Germany strong +19.6% − Guarapuava, Brazil strong +18.9% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Fukuoka, Japan weak +13.4% − Erlangen, Germany confused +22.9% − Sedgemoor, United Kingdom strong +19.3% − Unnao, India weak +18.8% − Maiduguri, Nigeria confused +21.6% − Beaumont, United States confused +12.1% − Regensburg, Germany strong +16.0% − Springfield, United States confused +5.1% − Yao, Japan strong +22.0% − Guilin, China strong +3.0% − Caruaru, Brazil strong +18.6% − Yavatmal, India guilty +24.6% − Pocos de Caldas, Brazil strong +24.0% − Vadakara, India sad +6.6% − Tameside, United Kingdom confused +19.1% − Tegal, Indonesia confused +4.6% − Abeokuta, Nigeria happy +19.5% − Shaoyang, China weak +21.8% − Tacoma, United States confused +20.3% − Rangpur, Bangladesh happy +24.3% − Ubon Ratchathani, Thailand confused +23.5% − Jequié, Brazil strong +5.6% − Malabon, Philippines happy +23.0% − Jhang, Pakistan strong +23.9% − Kofu, Japan confused +20.9% − Amiens, France confused +22.5% − Mulhouse, France happy +21.4% − BISHKEK, Kyrgyzstan weak +8.9% − Waverley, United Kingdom weak +24.4% − Abeokuta, Nigeria happy +19.5% − Baranovichi, Belarus strong +18.5% − Lisburn, United Kingdom strong +19.9% − Chillán, Chile strong +21.7% − LA HABANA, Cuba strong +18.2% − Grodno, Belarus sad +19.8% − Warren, United States strong +22.1% − Tarragona, Spain strong +21.8% − Smolensk, Russia happy +17.6% − Oberhausen, Germany weak +19.1% − Medellín, Colombia strong +21.8% − TIRANA, Albania sad +18.7% − Ubon Ratchathani, Thailand confused +23.5% − Piracicaba, Brazil strong +20.7% − Kharagpur, India strong +17.6% −

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Luohe, China happy -22.9% − Halifax, Canada strong -19.1% − Gent, Belgium strong -4.2% − Ingolstadt, Germany strong -14.9% − Cochabamba, Bolivia strong -23.2% − Serra, Brazil strong -5.4% − Rouen, France strong -6.3% − San Jose, United States confused -24.0% − Chicago, United States strong -18.5% − NOUMEA, New Caledonia strong -18.8% − Brescia, Italy strong -18.6% − Birmingham, United States confused -22.6% − Nhatrang, Vietnam happy -22.9% − Sukabumi, Indonesia happy -9.2% − Sapucaia, Brazil strong -18.8% − Sefton, United Kingdom strong -5.2% − Curitiba, Brazil strong -24.8% − Chiba, Japan strong -24.8% − Floridablanca, Colombia strong -22.9% − Toluca, Mexico confused -22.6% − Adana, Turkey confused -23.4% − Leipzig, Germany strong -21.8% − Jersey City, United States strong -23.2% − Muntinlupa, Philippines strong -19.8% − Fukuyama, Japan strong -22.7% − Peshawar, Pakistan strong -24.4% − Kisumu, Kenya confused -19.7% − Hampton, United States strong -12.1% − Durango, Mexico strong -25.0% − South Cambridgeshire, United Kingdom strong -17.7% − Iseyin, Nigeria happy -22.8% − Quezon City, Philippines strong -4.0% − Yingcheng, China happy -22.9% − San Pablo, Philippines strong -18.3% − Dourados, Brazil strong -1.2% − Bareilly, India confused -23.5% − Richmond, United States confused -21.8% − Valencia, Venezuela confused -8.0% − Richmond, United States confused -21.8% − Zaria, Nigeria confused -18.6% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Teignbridge, United Kingdom confused -20.2% − Geelong, Australia confused -2.1% − Irving, United States strong -20.4% − LISBON, Portugal strong -7.5% − Tanjung Balai, Indonesia weak -4.9% − Crewe & Nantwich, United Kingdom strong -17.6% − Jiamusi, China strong -18.6% − Bridgeport, United States strong -18.9% − Anand, India strong -3.1% − Amagasaki, Japan happy -24.2% − Chimbote, Peru strong -22.8% − Sergiev Posad, Russia happy -17.8% − Darlington, United Kingdom strong -24.3% − Gujrat, Pakistan strong -22.0% − Kawachinagano, Japan happy -22.9% − Aguascalientes, Mexico strong -17.6% − Manchester, United Kingdom strong -9.2% − Kitchener, Canada strong -15.2% − Palakkad, India strong -17.6% − Kochi, India strong -24.8% − Petrópolis, Brazil strong -18.6% − Kotte, Sri Lanka confused -1.5% − Jinan, China strong -8.9% − Tampa, United States confused -19.1% − Mojokerto, Indonesia strong -13.8% − Queimados, Brazil strong -20.4% − Alexandria, United States strong -11.9% − MONROVIA, Liberia happy -23.4% − Braila, Romania strong -17.5% − Magdeburg, Germany strong -23.7% − Batangas, Philippines strong -22.8% −

Lipetsk, Russia strong − Taiyan, China happy − Kurume, Japan guilty − Dayuan, China happy − Kashihara, Japan happy − Moji-Guaçu, Brazil happy − Shaown, China happy − Dlepmealow, South Africa happy − Sirjan, Iran happy − Evpatoriya, Ukraine happy − Sao Joao de Meriti, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Durg, India weak − Alagoinhas, Brazil strong − Nasariya, Iraq happy − Kadhimain, Iraq happy − Nandyal, India happy − Pórto Velho, Brazil happy − Soyapango, El Salvador happy − Juazeiro do Norte, Brazil happy − Angren, Uzbekistan confused − Mudangiang, China happy − Xuchang, China happy − Sialkote, Pakistan happy − Chinhae, Korea, South happy − Calithèa, Greece happy − Taldikorgan, Kazakstan happy − Syktivkar, Russia happy − Guangshui, China happy − Kiselevsk, Russia happy − Pinxiang, China happy − Khouribga, Morocco sad − Guikong, China happy − Sidi-bel-Abbès, Algeria happy − Chongli, China weak − Rubtsovsk, Russia happy − Salamanca, Mexico strong − Meizhou, China strong − Yuncheng, China weak − Artux, China happy − Bihar Sharif, India happy − Basingstoke & Deane, United Kingdom happy − Taian, China confused − Kanhangad, India happy − Reggio di Calabria, Italy happy − Shuangyashan, China happy − Holon, Israel confused − Changweon, Korea, South happy − Korla, China strong − Al-Rakka, Syrian Arab Republic happy − Deir El-Zor, Syrian Arab Republic happy − Colimas, Mexico happy − San Fernando de Apure, Venezuela strong − Shanwei, China confused − Xiaocan, China happy − Debrezit, Ethiopia happy − Huaiyin, China happy − Novocherkassk, Russia happy − Niiza, Japan happy − Sao José do Rio Prêto, Brazil happy − Jinin, China happy − Jastrzebie - Zdrój, Poland confused −