데이터셋 상세
런던 데이터스토어
GLA Intelligence Unit - GLA Population Projections - Custom Age Tables
This Excel based tool enables users to query the raw single year of age data so that any age range can easily be calculated without having to carry out often complex, and time consuming formulas that could also be open to human error. Each year the GLA demography team produce sets of population projections. The full raw data by single year of age (SYA) and gender are available as Datastore packages at the links below. How to use the tool Simply select the lower and upper age range for both males and females (starting in cell C3) and the spreadsheet will return the total population for the range. Find out more about GLA population projections on the GLA Demographic Projections page Click here for an archive of population projections from previous years that have since been superseded. 2019-based projections (published November 2020) Central range (upper bound) Central range (lower bound) Low population variant High population variant 2016-based projections (published July 2017) Housing-linked projection incorporating data from the 2016 SHLAA Ward-level projections consistent with the borough housing-led model Ethnic group projections consistent with the borough housing-led model (50MB file)
연관 데이터
GLA Demography - Household projection data for modelling
공공데이터포털
The GLA is currently developing updated household projection models for use in its 2023-based projections. This page will initially contain raw input data to the projections, with processed data, calculated rates, draft outputs, and links to code being added as development progresses. Inputs: Census estimates of population usually resident population by age, sex, local authority, and residence type. Census estimates of household representative persons by age, sex, local authority, and household type Data from standard Census tables published by ONS have been downloaded from Nomis and republished here. Full metadata for these tables can be found on the relevant pages of the Nomis website. Additional Census tables were commissioned from ONS via the GLA's Census Information Scheme. For further information about the commissioned tables, please contact census.commissiontables@ons.gov.uk
GLA demography team - Population projections documentation
공공데이터포털
The GLA Interim 2021-based population projections (January 2023) comprise both trend-based variant projections and housing-led scenario projections. This dataset contains the detailed methodology documentation for the model and is published alongside the population projections data to assist users in understanding the projections and identifying which set of projections is most appropriate for their needs. The projections themselves can be downloaded here: Population and Household Projections
GLA Demography - GLA population projection service
공공데이터포털
The GLA Demography Team offers a bespoke population projection service to London local authorities. Boroughs can request population projections based on their own choice of assumptions about future housing delivery. These assumptions are submitted to the team via a standard template. The resulting projections are referred to as the Borough Preferred Option (or BPO) and are commonly used to help support local planning and service delivery. The GLA does not make the BPO projections and submitted housing trajectories publicly available or share them with anyone other than the commissioning borough. Boroughs wishing to publish BPO projections themselves are free to do so. This service is offered as an optional, free of charge service to London authorities, and is intended to provide users with an alternative to the standard projections that the GLA publishes on the London Datastore. Access to outputs The BPO projections are shared with users via private pages on the London Datastore. These pages include all outputs produced under the service since 2019. To access outputs, users must have a current Datastore account linked to their local government email address and contact the Demography Team to request permissions be granted for the individual pages relating to their local authority. Notes on completing the development data template What periods do the year labels in the template refer to? The year labels in the template nominally refer to periods ending in the middle of that year (i.e. `2025` refers to the 12 month period ending June 30th 2025). However, development data is often readily available only for financial years and it is common to submit data on this basis, with financial year 2024/25 aligning with `2025` in the template. Development trajectory The cells in the template represent annual net changes in the number of dwellings. The current template covers the period 2012-2041 and are pre-populated with estimated annual net dwelling changes for the period 2012-2019, based on modelling of data from the London Development Database. For the 2022-based and subsequent projections, dwelling stock estimates are anchored to the results of the 2021 Census and it is not essential to include data for dwelling stock changes that occured prior to this point (i.e. up to and including '2021'). Past development data from 2022 up to the base year of the projections, affects the projected population in all future years as dwelling stock in the base year is used in the estimation of relationships between housing and population in the model. We are not yet able to pre-populate templates with estimated dwelling changes for years after 2019. In future rounds of projections we intend to incorporate data from the Planning Data Hub. Blank cells are treated as missing rather than no change, and data based on the 2017 Strategic Housing Land Availability Assessment (SHLAA) will be substituted in its place. To indicate no net change in dwellings in a ward in a particular year, users must explicitly enter a zero in the relevant cell. Self-contained and Non-self-contained development Self-contained development should be used for standard residential development (e.g. new build/conversion). Non-self-contained development should be used for development such as student accommodation. This should be added to the template as the equivalent of self-contained units (i.e. a ratio of non-self-contained to self-contained should be applied). The London Plan ratios are: · 2.5:1 for student housing · 1:1 for housing for older people (C2) · 1.8:1 for all other non-self-contained housing Requesting projections based on multiple different housing scenarios While we are willing to try and accommodate requests for multiple sets of projections, capacity in the team is limited and there is no guarantee that we will be able to do so in a timely manner. Please do not Add rows or columns to the template Change ward names or codes Include formulas or new formatting Add notes
GLA Population Yield Calculator
공공데이터포털
The GLA Population Yield Calculator is a tool for estimating population yield from new housing development. The calculator provides users with an indication of the possible number and age of children that could be expected to live in a new housing development of a given bedroom or tenure mix. Please see the calculator’s methodology document for further details and user guidance. The calculator is in XLSX (Excel 2007 and later) format. The tool was updated 23rd October 2019. Previously published versions are available in the compressed archive file
GLA Intelligence Unit - Estimating births using GP registration data
공공데이터포털
A technical note and subsequent Update on the use of General Practitioner (GP) registration data to estimate the number of live births occurring in London. The technical note presents analysis into the relationships between GP registration and birth estimates data, which indicates that GP registrations can be used to predict birth estimates with a good level of accuracy at local auhtority level. Using the approach outlined in the note, a strong indication of births can be obtained up to eleven months ahead of the release of official data. The note presents birth estimates for the year to mid-2015 based on analysis of GP registration data and explores the likely accuracy of such estimates. Intelligence Unit Update 04-2016 compares the birth predictions made in the technical note with subsequently released official estimates. The accuracy of the results is compared with that obtained from standard projection methodologies employed by the GLA and ONS. The Update presents estimates of births for the year to mid-2016 based upon recent GP registration data obtained by the GLA. **Update February 2023** Estimates of recent births using an updated version of this approach are now available here The code used to produce these estimates is available can be found on GitHub.