Swansea continues to record one of the lowest coronavirus infection rates in Wales.
The latest data, published by Public Health Wales on February 18, shows that the current infection rate across the city is 69.6 per 100,000 people.
It is a slight increase on last week’s figure of 65.6 per 100,000 people, recorded as the seven-day rolling average up to February 11, but there are only seven areas in Wales with a lower infection rate than Swansea.
The latest figure is based on the number of infections per 100,000 population in the seven days up to February 13.
In early December, Clydach and Mawr had an infection rate of 1,395.7 cases per 100,000 people. It also reported 133 cases of Covid-19 between December 4 and December 10 – the highest rate in Swansea by far.
But the latest figures show that the rate of infection in Clydach and Mawr has now fallen to 42 per 100,000 and eight wards in Swansea have recorded less than two cases of coronavirus in the last seven days.
The Wales-wide average infection rate is 83.7 per 100,000 population. A month ago, on January 20, it stood at 284.8 per 100,000 with the figure for Swansea standing at 199.6.
What are the vaccination figures for Swansea?
The number of first and second vaccination doses administered by Swansea Bay University Health Board is now up to 96,646 .
Last week, the total number of vaccination doses administered by the health board up to February 11 was 71,339.
How many people with coronavirus are in hospital?
Data from February 17 shows that there were 1,086 general and acute beds occupied across Swansea Bay University Local Health Board, with 282 of those taken up by a Covid-19 case – that’s 25 less than last week. The figures from the last three weeks show that the number of patients in hospital with coronavirus is falling.
Out of 37 invasive ventilated beds available across the board, which covers hospitals in Swansea and Neath Port Talbot, 32 beds are being occupied at the moment, with 11 currently being used by a Covid-19 case – two less than last week.
The rules you have to adhere to over coronavirus:
Which areas of Swansea currently have the highest and lowest rates of coronavirus?
The areas of Swansea with the highest rates of coronavirus cases currently are Bonymaen, Landore and Mynyddbach.
Last week Landore, Sketty and Loughor were the communities with the highest rates.
This data shows a breakdown of different parts of the city:
The total number of cases is followed by the incidence per 100,000 population (rounded to the nearest whole number), starting with the area with the highest infection rate:
Bonymaen – 17, 226
Landore – 17, 165
Mynyddbach – 13, 143
Llansamlet – 8, 114
Tycoch – 9, 110
Penderry – 10, 104
Brynmill – 10, 98
Llangyfelach & Tircoed – 8, 95
West Gower – 6, 95
Sketty – 6, 94
Morriston South – 7, 92
Morriston North – 8, 90
Cwmbwrla – 7, 90
Sign up to the SwanseaOnline newsletter to receive our top stories straight to your inbox.
It takes just seconds to sign up – simply click here, enter your email address and follow the instructions. You can also subscribe to tailored content for rugby, politics, Newport, Cardiff City FC, Swansea City FC and more.
Changed your mind? There’s an ‘unsubscribe’ button at the bottom of every newsletter we send out.
Gorseinon – 9, 85
Killay – 4, 80
Pontarddulais – 5, 75
Ravenhill – 5, 59
Central Swansea – 5, 49
Clydach & Mawr – 4, 42
Uplands – 4, 41
Loughor – 3, 31
Llanmorlais & Three Crosses – 0-2, fewer than 40
Dunvant and Upper Killay – 0-2, fewer than 36
Mayals & Bishopston – 0-2, fewer than 35
Gowerton – 0-2, fewer than 35
West Cross – 0-2, fewer than 31
Cockett – 0-2, fewer than 28
Mumbles & Newton – 0-2, fewer than 27
Birchgrove – 0-2, fewer than 25
St Thomas – 0-2, fewer than 25
Townhill – 0-2, fewer than 22
What does this data actually mean?
It is really important to bear in mind that this data is very volatile because it covers such small areas. Where an area has a very small population even one positive case can push up the rate of cases per 100,000 significantly.
You should therefore be cautious about drawing too many conclusions directly from the information.