Data is not routinely collected by the GLA on the take-up of meals offered through the London scheme. This decision was taken because it was felt to be too great an additional burden for schools in the context of a rapid roll out.

Instead, GLA have sought to understand levels of take-up through a number of different sources. This has included work with the management information systems (MIS) provider Arbor, insights gathered through discussions with boroughs and where schools have claimed funding over the initial 90% allocations. These sources have shown a range of uptake levels, from around 58% up to 100%.

Arbor provides Management Information Systems (MIS) to over 6,000 schools across the country. They kindly offered to provide data from the schools they support in London, so that the GLA can gain a picture of what Universal Primary Free School Meals (UFSM) ‘uptake’ levels are, and how it may differ for different groups of pupils and areas.

This document outlines the GLA City Intelligence Unit's analysis of the Arbor data sample for the Academic Year 2023/24 including uptake and trends by:

• Academic Term
• Year group
• Special Educational Needs and Disabilities (SEND) status
• Ethnicity
• Religion

Data you can expect: - Metadata (country, region, city, coordinates, address, categories, description, operating hours, and more) - Contacts (phone contacts, email, website) - Social profiles (LinkedIn, Twitter, Instagram, Facebook) - Other info (awards, Michelin stars, executive chef, popular dishes, average meal price, and more)

If you are looking for other data such as photos or menus, let us know since we have them as well.

How we deliver data: - We transform it to fit your system's data schema, (ease the pain and cost of having data engineers from your side) - We are completely flexible on the delivery format and method.

Information about road closure free routes through the City of London for a week ahead.

About

In October 2009 the Guardian reported that there were plans to open up official data from the City of London.

The Greater London Authority is holding an event this month to ask developers how it can best make its data available for reuse – a plan that resembles San Francisco's efforts to stimulate widespread use of local government information.

[...] The organisers say that the GLA "is currently in the process of scoping London's DataStore. Initially we propose to release as much GLA data as possible and to encourage other public agencies in London to do the same and we'd like your help."

Many datasets are available at:

• http://www.london.gov.uk/focusonlondon/datastore.jsp

Openness

Open. Terms and Conditions state:

You:

May use the data contained in this site for any purpose, providing it does not infringe the terms and conditions.

May create software applications, visualisations etc that make use of data in this site. If you do so or wish to do so, you may wish to contact us via datastore@london.gov.uk so that we can provide any appropriate assistance. Should, if you extract and re-use any data from this site, explicitly state that the Greater London Authority cannot warrant the quality or accuracy of the data.

Must not in any way imply or explicitly state that a third party use or service created using data from this site has the endorsement, affiliation, support or approval of the Greater London Authority

Are requested to review these terms and conditions regularly as they may change without prior warning. Your use of the site after any changes to the terms and conditions shall indicate your explicit acceptance of such changes.

Previous terms and conditions were quite restrictive by default:

The site contains copyright material, trade names and other proprietary information, including, but not limited to, text, photos, graphics, video and audio. The entire contents of the site are protected by copyright law. We, or our licensors, own copyright in the selection, coordination, arrangement and enhancement of such content, as well as in the content original to it.

Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE.

(:unav)...........................................

The London Schools Atlas is an innovative interactive online map of London providing a uniquely detailed and comprehensive picture of London schools, current patterns of attendance and potential future demand for school places across the capital.

The Atlas is part of the Mayor's programme of initiatives aimed at driving up standards in education and ensuring there are enough good places for all children in the city.

Covering primary and secondary provision, including academies and free schools, the London Schools Atlas for the first time uses data to illustrate current patterns of demand for school places at a pan-London level, rather than within boroughs alone.

You can use the atlas at the link below:

London Schools Atlas - homepage

Download the Data:

The files below contain the home location to school matrices used to create the catchment elements of the maps. Please ensure you read the notes page in each file before using the data. School location/attribute information has been sourced from the Edubase database.

In addition to the datasets below, the following data sources that are used in the Atlas are also available in the London Datastore:

• Pan-London School Place Demand data
• DCLG Indices of Deprivation 2015
• London Output Area Classification LOAC

2014 London Schools Atlas datasets can be downloaded from here (format: .zip, size: 5.41MB)

2015 London Schools Atlas datasets can be downloaded from here (format: .zip, size: 7.8 MB)