To have the biggest impact on improving lives through physical activity and sport, and reducing the number of inactive people, we all need to understand where the biggest challenges lie. We have identified the ward level areas across Bucks and MK that have the highest activity need.
Activity need has been identified by mapping inactivity as per Active People Survey 6 (APS6) (latest lower area estimates), deprivation at ward level (as per national IMD) and cross referenced it with inactivity risk identified on 4Global’s DataHub. This combines participation knowledge with population data modeled with the Experian segments to create an inactivity ranking per ward. As a result 30 priority ward areas have been identified as having the highest activity need in Buckinghamshire and Milton Keynes. In terms of improving lives, these areas should be regarded as the most deserving of investment.
|1||Southcourt (click for profile)||Aylesbury Vale|
|2||Bletchley East||Milton Keynes|
|3||Woughton & Fishermead(click for profile)||Milton Keynes|
|4||Micklefield (click for profile)||Wycombe|
|5||Elmhurst (click for profile)||Aylesbury Vale|
|6||Central Milton Keynes (click for profile)||Milton Keynes|
|9||Campbell Park & Old Woughton||Milton Keynes|
|10||Bletchley Park||Milton Keynes|
|12||Walton Court & Hawkslade||Aylesbury Vale|
|13||Central & Walton||Aylesbury Vale|
|15||Oakridge and Castlefield||Wycombe|
|18||Booker and Cressex||Wycombe|
|19||Bletchley West||Milton Keynes|
|20||Grendon Underwood & Brill||Aylesbury Vale|
|21||St Mary’s and Waterside||Chiltern|
|27||Iver Heath||South Bucks|
|28||Wexham & Fulmer||South Bucks|
|29||Lacey Green, Speen and the Hampdens||Wycombe|
|30||Terriers and Amersham Hill||Wycombe|
Further work is being carried out to build understanding of these areas. This activity need will be cross referenced with other data sources, local partner priorities and asset mapping work to ensure that we have a robust understanding of populations and these local areas and fully understand why the areas are at high risk of inactivity.
From this we can build a complete understanding of the challenges faced, types of activities and timing of activities that might be appealing to the various communities and start to build participation opportunities appropriately. We welcome partner expertise to support this process, please make contact if you can help firstname.lastname@example.org
Calculated using inactivity as per APS6 (latest lower area estimates), deprivation at ward level (as per national IMD) and cross referenced with inactivity risk identified on DataHub
Risk of inactivity as per DataHub
The risk of inactivity layer was formed using the data feeding in from DataHub sites. This is approximately 80% sport venues (leisure centres, bowls clubs, trampoline parks etc.), 15% community foundations data and 5% from mobile apps. This equates to about 1 million visits a day of people who meet the 150 mins a week guidelines.
This is divided into age, gender and mosaic profile to work out which type of person is more active. This was then compared with national population statistics to work out the risk of inactivity for each group. The population and demographics of each Lower Super Output Area (LSOA) were then used to calculate the risk of inactivity for each LSOA.