NAPF Annual Survey 2012
The NAPF Annual Survey provides comprehensive insight into workplace pensions in the UK, covering over 1000 Defined Benefit, Defined Contribution and Hybrid schemes, across the private sector, local authorities and other parts of the public sector, including universities and charities.
The latest edition of the Survey, published in early 2013, provides our most detailed insight into workplace pensions yet - with the data collection for Autumn 2012 picking up more scheme members (9 million) and more scheme assets (£628 billion) than ever before.
Industry benchmarks and analysis are provided on a wide range of key features including:
- Pension scheme design and status;
- Investment strategies, asset allocation and (for DB) derisking;
- Contribution rates;
- Levels of costs and charges;
- Support at retirement (for DC); and
- Scheme governance.
New web-based benchmarking service included!
This year a new online benchmarking tool will allow respondents to compare their answers to those of their peer group, and view the detailed results in a way never on offer before such as by scheme size, employer type, number of employees or scheme status, and instantly download their own tailored scheme report.
This service will be available for free to NAPF members who completed the Survey as a new member benefit, but is also being made available as a package to those purchasing the Annual Survey through a licence. Those buying the Survey will be given their own unique access to the web-based tool which will allow them to explore the Survey data in more detail. We expect the new tool to be a particularly valuable source of scheme data for trustees, regulators, pension scheme managers and consultants alike.
Those who responded to the Annual Survey will be able to see their own answers and compare them to the average response well as the range of responses received from schemes in their peer group. Responses from all other schemes remain anonymous and a minimum response rate of 20 has been included when applying filters to ensure anonymity is maintained.