The 2021 Camden Annual School Places Planning reporting incorporates all underlying demographic data including: existing provision and capacity, actual registered births, and fertility, the latest GLA resident forecasts for births and their relationship to school rolls, GLA resident population and school roll forecasts, together with the additional pupils associated with new housing developments. The analysis is used to help us make informed decisions about the future organisation of school places at primary and secondary. This year, the Council has also included a review of its planning of places for pupils with special education needs and disabilities.

Our understanding of the current demographic pressures facing schools has also informed the development of Camden’s new Education Strategy. It will be the purpose of the strategy, and our continued school organisation work, to ensure that our school system is sustainable and stable, offering the best outcomes for our residents.

Recent school place reports have identified significant changes and a high level of volatility in demography at a national and local level. Over the last 5 years there has been a significant reduction in demand for pupil places within Camden. Forecasts for this year have been drawn up at a time of unprecedented change and challenge for families in Camden. Specifically, the effects of the COVID-19 pandemic have fundamentally altered people’s lives, the impacts of which are significantly reducing the level of demand for places anticipated within the current forecasts. These factors create a significant degree of uncertainty, and a less stable environment in which to plan ahead. The GLA modelling aims to account for these as best as they can but rely on assumptions of future trends that can only be accurately assessed over time.

We consider that it is too early to be definitive about the medium-term impact on school rolls of the new forecast figures given the hugely disruptive impact of Covid. We will need to consider carefully current admission numbers and next year’s school roll projections before we can come to any firm conclusions beyond the difficult action the Council has already taken in removing available school places. The impact on pupil rolls of the recent arrival in Camden of significant numbers of children and young people, including asylum seekers and Afghan nationals, is also not yet known.

Ensuring Camden has the right number of school places is both the Council’s statutory responsibility and aligns with our Camden 2025 priorities. Preventing schools becoming financially vulnerable and thus subject to unplanned change, helps maintain strong, safe, and open communities. Good and outstanding schools promote independent healthy lives and support strong growth and jobs.

The attached zipped file includes:
• 2021 Camden Annual School Places Planning Report
• Appendix A: General (with Tables 1-5)
• Appendix B: Primary (with Tables 1-7)
• Appendix C: Secondary (with Tables 1-6)
• Appendix D: Additional (with Figures 1-6)
• Appendix E: Latest housing development trajectory and estimated child yield
• Appendix F: Glossary of school places planning abbreviations, report references
• Appendix G: A narrative description and guide for interpreting the forecasts and data provided
• Appendix H: Special Education Needs and Disabilities analysis

This dataset contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom. The NSPL relates current postcodes to a range of current statutory administrative, electoral, health and other statistical geographies via ‘best-fit’ allocation from the 2011 Census output areas. It supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, which provides geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations.

This dataset contains table and chair applications in the London Borough of Camden.

This dataset contains locations of Council owned trees on highways and in parks and open spaces in the borough. The data is collected during cyclical tree inspections by Camden tree officers. Each point contains tree species, height, spread, diameter at breast height (DBH), and maturity. Tree sequence number attached to each tree is site specific.

These health and wellbeing profiles gives an overview of the burden of ill health by ward, focusing on areas where Councillors can take action to improve outcomes for residents.

This dataset contains locations of Council owned trees on highways and in parks and open spaces in the borough. The data is collected during cyclical tree inspections by Camden tree officers. Each point contains tree species, height, spread, diameter at breast height (DBH), and maturity. Tree sequence number attached to each tree is site specific.

This dataset contains a list of Camden's housing stock; attributes include the property type, number of bedrooms and approximate location. Location is based on the centre point of the housing estate the property resides in; estates which contain less than twenty properties do not have a location to provide anonymity to the tenant.

This dataset contains conservations areas in the London Borough of Camden in the schema set out by Digital Land (https://www.digital-land.info/)

The ward profiles provide information on key outcomes for areas such as employment, housing, health and wellbeing, children and young people and community safety in the borough.

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.