For the eighth successive year, RYA affiliated clubs are now taking part in the 2019 Club Membership Census. The annual census provides valuable insight to membership trends across the RYA affiliated club network in the UK.
How to take part
All RYA affiliated clubs have been invited to take part via an e-mail with a link to complete the online census.
You can also submit your club membership data here.
We know it takes time to collect, collate and input the information required, and we would like to thank you in anticipation of your involvement in the census and for taking the time to compile and complete this year’s information. Your involvement and input are invaluable.
Please complete the census by 12:00 Thursday 15 August 2019.
Why take part?
In order to give a robust and reliable overview, it is vital that at least 85% of clubs in each Home Country and English Region submit their information every year.
Last year the clubs in the Midlands and South regions generated the highest response rates at a fantastic 91% and 90% - let’s try to beat this this year.
First conducted in 2013, the census is vital in helping us to understand membership levels, participation and diversity, perceptions of change and potential for development.
The census information helps us to monitor progress, tailor our programmes, shape bids for further resourcing and ultimately support clubs.
Key observations from the insights are relayed back to clubs via the Regional Development Officers and through the publication of the Insights. Each club will also receive an overview of their membership data and a comparison of how this has changed year on year.
Regularly reviewing who club members are and how this may, or may not have changed over the years is important in order for clubs to tailor their offer, embrace the positive trends and address the negative.
Each year the data has become more accurate as clubs have adjusted to reporting actual numbers, as opposed to estimates. This makes a huge difference in being able to draw more reliable conclusions from the patterns and trends in the membership data.
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