South Yorkshire Fire & Rescue - Working For a Safer South Yorkshire

Thorne

Thorne Station

Station Establishment

1 Watch Manager (A); 1 Crew Manager; 5 Firefighters per watch = 28

Station Area: 160.3 km2

Population: 44,906

Dwellings: 18,859

Thorne is a wholetime station which covers the busy town shopping centre of Thorne and its surrounding residential area, together with the nearby residential areas of Hatfield, Woodhouse, Dunsville, Fishlake, Kirk Bramwith, Dunscroft, Stainforth, Barnby Dun and Moorends. It serves a large area of both M18 and M180 motorways as well as the A18 and A614 trunk roads. It covers a large amount of agricultural land and Thorne and Hatfield Moors, which host large areas of peat workings.

Address

Thorne Fire Station

Union Road

Thorne

Doncaster

DN8 5EL

Tel: 0114 2532509

Fax: 0114 2532669

Email: Thorne@syfire.gov.uk

Appliances

Scania P310 Rescue Pump

Thorne Incident Statistics 2014 to 2015

Quarter 1

Quarter 2

Quarter 3

Quarter 4

2014/15

Fires

Primary Fires

of which were deliberate

Secondary Fires

of which were deliberate

Accidental Dwelling Fires

29

13

30

22

5

False Alarms

Caused by Automatic Detection

Good Intent False Alarm

Malicious False Alarms

9

13

0

Other Information

Road Traffic Collisions Attended

Home Safety Checks Conducted

Smoke Alarms Fitted

2

248

288

Thorne Incident Statistics 2013 to 2014

Quarter 1

Quarter 2

Quarter 3

Quarter 4

2013/14

Fires

Primary Fires

of which were deliberate

Secondary Fires

of which were deliberate

Accidental Dwelling Fires

19

12

44

31

2

26

13

65

38

4

22

10

19

17

5

16

9

24

21

1

83

44

152

107

12

False Alarms

Caused by Automatic Detection

Good Intent False Alarm

Malicious False Alarms

8

21

0

13

6

0

4

11

0

7

9

1

32

47

1

Other Information

Road Traffic Collisions Attended

Home Safety Checks Conducted

Smoke Alarms Fitted

2

234

296

5

237

293

5

197

245

3

180

244

15

848

1078

 

Please note that data is extracted from a system which is subject to future updating, this may mean that some figures will change during a refresh.

The figures pertaining to a station is calculated on how many incidents occurred within those station boundaries.

Quarter 1 April, May, June

Quarter 2 July, August, September

Quarter 3 October, November, December

Quarter 4 January, February, March