Ipswich and Sudbury among Suffolk's worst 10 coronavirus hotspots
- Credit: Archant
The Gainsborough and Greenwich area of Ipswich now has the highest coronavirus infection rate in the county, government figures have revealed.
The figures, which cover sub-district level areas of England, or MSOAs (middle layer super output areas) are made available via the government's coronavirus interactive data.
According to the latest figures, which cover the week up to January 7, two areas of the county are now nearing 1,000 cases per 100,000 people – and all higher than the national average.
The Gainsborough, Greenwich and Orwell area of Ipswich now has the highest infection rate in the county, with the area recording 87 new cases in that week – taking its infection rate to the equivalent of 994.7 cases per 100,000 people.
More than half of the areas are within the county town, although Babergh, East Suffolk and West Suffolk areas are also included in the list.
The top 10 are:
1: Gainsborough, Greenwich and Orwell: 994.7 per 100,000
- 1 Tributes to much-loved Laura, 28, after Covid death
- 2 Serial 'dine and dash' conman who fled hotels without paying is jailed
- 3 Timeline: When can you expect to receive the Covid vaccine?
- 4 Car catches fire outside Morrisons store in Ipswich
- 5 Suffolk Covid rates declining, but increased deaths expected
- 6 Covid rate falling across Suffolk and north Essex
- 7 Ipswich consider striker signing after Hawkins undergoes surgery
- 8 Town have 27 first teamers available... And Taylor hints at the return of squad rotation
- 9 Parents 'distraught' after teenage boy is violently assaulted in Chantry
- 10 Plans to convert pub into takeaway refused
2: Sudbury: 950 per 100,000
3: Maidenhall, Stoke and Port: 861.2 per 100,000
4: Rushmere: 789.2 per 100,000
5: Felixstowe East: 787.5 per 100,000
Joint 6: Whitehouse and Belstead Hills: 774 per 100,000
7: California: 744.4 per 100,000
8: Stoke Park: 744.4 per 100,000
9: Leavenheath, Nayland & Boxford: 731.7 per 100,000
10: Stanton and Barningham: 728.5 per 100,000