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14 Nov 2018 3:51 PM

 MOBO UnSung is a nationwide search for exceptional unsigned talent culminates in 10 finalists, known as the MOBO UnSung Class of 2018, who then go on to enter a year-long artist development program of industry and production workshops, performance and networking opportunities, guidance, etc. facilitated by MOBO and its partners through this compelling programme giving them the opportunity to make their mark with their music. The winner and two finalists will further receive a grant towards their work, alongside studio time, mentoring, production support and A&R.

 

After a difficult decision due to the high level of entrants, we have decided to increase the MOBO UnSung Class of 2018 to 11 finalists:

ESTÉE BLU - R&B/Soul/Blues/Jazz Artist from London 

FONZIE - Solo Hip Hop Artist from London

FRED FREDAS - Hip Hop Artist from London

GRAFT - Hip Hop/R&B/Dancehall/Reggae Artist from Leeds

HARRIS HAMEED - R&B/Soul Artist from Leeds/London

IKE CHUKS - Solo Hip Hop/Pop/Spoken Word Artist from London

JORDZ THE JAY - R&B artist from London

KRIS EVANS - Solo Hip Hop Artist from Manchester

MARIKA - Solo R&B/Soul Artist from London

SAKYI 4 - R&B Group from London

SUELILY -  R&B Artist from London

 

To find out more about our finalists, please click here

One of our key objectives for MOBO UnSung is to champion emerging talent, especially those from diverse backgrounds, so we are proud to see our widest range of applicants in terms of location, genre and artist type to date. 

 

MOBO UnSung 2018 Stats:

 

Type of artist

• Solo Artist - 87.5%

• Band/Group -  6.5%

• Producer  - 4.5%

• Poet  - 1.5%

 

Location

• London - 57.9%

• Other  - 42.1%

 

Top 5 locations for those who applied outside of London

• Birmingham - 10.9%

• Manchester  - 8.9% 

• Leeds - 4.6%

• Liverpool - 3.9%

• Glasgow - 1.7%

 

Genre (applicants could tick more than one box):

• Hip Hop/Grime - 31.5%,

• R&B/Soul - 28%, 

• Pop - 13%

• Afrobeats - 10%, 

• Dancehall - 5.5% 

• Reggae - 3% 

• Gospel  - 3%  

• Jazz  - 3%,  

• Spoken Word -  3%,

• Blues  - 1%

 

Gender

• Male  - 65.5%,

• Female -  33.5%, 

• Other  - 1.0%

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