There were 3,943 new positive tests in the seven days to March 13, the latest available Government figures.
That's up 61.7 per cent from the previous week.
Covid infections vary on a neighbourhood level and one area has seen cases triple in the last seven days.
Here we reveal the Leeds areas with the fastest rising infection rates in the week to March 13. The infection rate is expressed as the number of new cases per 100,000 people.
All images are for illustrative purposes only.
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Here are the Leeds neighbourhoods with the fastest rising Covid rates (Photo: Gov.uk)
. Woodlesford & Oulton
Woodlesford & Oulton recorded an infection rate of 1326.1 new cases per 100,000 people. That’s up 376.2% from the previous week.
. Wortley
Wortley recorded an infection rate of 547.6 new cases per 100,000 people. That’s up 260.0% from the previous week.
. Moor Allerton
Moor Allerton recorded an infection rate of 538 new cases per 100,000 people. That’s up 240.1% from the previous week. Photo: Google
. Holbeck
Holbeck recorded an infection rate of 377.6 new cases per 100,000 people. That’s up 209% from the previous week.
1. Gipton North
Gipton North recorded an infection rate of 607.7 new cases per 100,000 people in the week to March 24. It’s up 200% from the previous week.
2. Beeston Hill & Hunslet Moor
Beeston Hill & Hunslet Moor recorded an infection rate of 392 new cases per 100,000 people. It’s up 170% from the previous week.
3. Lawnswood & Ireland Wood
Lawnswood & Ireland Wood recorded an infection rate of 1,029.9 new cases per 100,000 people. It’s up 146.2% from the previous week.
4. Hollin Park & Fearnville
Hollin Park & Fearnville recorded an infection rate of 690.7 new cases per 100,000 people. It’s up 121.7% from the previous week. Photo: Google
5. Moor Allerton
Moor Allerton recorded an infection rate of 791.1 new cases per 100,000 people. It’s up 100% from the previous week. Photo: Google
6. Woodhouse & Little London
Woodhouse & Little London recorded an infection rate of 545.7 new cases per 100,000 people. It’s up 92.4% from the previous week.