ALL areas of Winchester except three have now seen a drop in the number of coronavirus cases recorded, according to the latest public health data.

An interactive map on the Government website shows just how many people have tested positive for the virus in each area of the county over the seven-day period up to Sunday, November 29.

The area of Whiteley, Knowle and Wickham saw the largest increase with 21 cases recorded, up 200 per cent from the previous seven days when seven people tested positive.

Colden Common and Twyford registered slightly more cases than they had the seven days before, from seven to eight, as did Bishop's Waltham and Waltham Chase, with a small rise from seven cases recorded up to November 22 and then nine cases up to November 29.  

Based on Public Health England figures, the interactive tool on the government's coronavirus dashboard breaks down positive coronavirus cases by Middle Super Output Areas (MSOAs), areas with an average population of 7,200.

For each area, the map shows the number of cases reported in a weekly period, the seven-day rolling rate of new cases and any changes.

Areas with the highest rates are highlighted in purple and blue, those with the lowest rates are shown in shades of green and yellow.

The number of cases and the infection rate per 100,000 people, which is shown in brackets, in all areas of the Winchester district are as follows:

Whiteley, Knowle and Wickham: 21 (179.4)

Winchester West: 10 (100.3)

Winchester East: 9 (110.5)

Bishop's Waltham and Waltham Chase: 9 (93)

Colden Common and Twyford: 8 (84)

Swanmore, Hambledon and West Meon: 7 (80.4)

Winchester North and Sparsholt: 6 (61.8)

South Wonston, Sutton Scotney and Micheldever: 5 (85.1)

Winchester Stanmore: 5 (73.7)

Springvale and Itchen Abbas: 4 (58.2)

Oliver’s Batter and Hursley: 4 (48.9)

Alresford: 4 (47.3)

Denmead and Southwick: 4 (39)

Winchester Central and South: 3 (27.3)

However, given this map is based on data from the previous week, it does not take into account the latest infections, while the infections shown are based on home address.