As part of their COVID-19 response, Richmond and Wandsworth councils have been looking at publicly available data to identify areas of greater need, in order to support local residents and businesses. Additional local data will be added as it becomes available.
We have made this information available through the resources below and published them on our public data sites to support the response of voluntary and community organisations.
- COVID-19 Dashboard: information on local COVID-19 cases and deaths
- Google Mobility Report: shows how COVID restrictions have affected visits to places such as parks and workplaces in Richmond
- COVID-19 Vulnerabilities Dashboard: information on vulnerable characteristics of the population and economy
- COVID-19 Web Map: interactive map of vulnerable characteristics of population and proximity to services
- COVID-19 Additional Resources: additional online sources of information to support Coronavirus response planning
The dashboard below makes use of public sources to provide information on local cases and deaths in Richmond and Wandsworth. To look at Richmond data, please make sure you always click Richmond under ‘Select Borough‘.
See the Interactive Map on GOV.UK for rates of cases at MSOA (neighbourhood) level.
Google Mobility Report
The dashboard below shows how COVID-19 restrictions are affecting visits to places such as parks and workplaces in Richmond by comparing each day to a corresponding day in Jan-Feb 2020.
To use the report, click any of the six categories at the top of the page (e.g. Parks) to display data for that category.
The Richmond, London and UK figures and London Borough Map on the left-hand side of the report display the ‘% Change from Baseline’ for the latest date in the data – presented at the top of this section.
The line chart on the right-hand side of the report shows how the ‘% Change from Baseline’ has varied daily for Richmond, London and the UK. Hover over the lines to display individual values or hover over any part of the chart to display arrows for ‘drilling’ up/down to month or year views. Please note that data displayed at month or year level is an average over that period. The time slider at the bottom can be used to filter the dates shown on the chart.
Data notes can be found on the second page of the report.
COVID-19 Vulnerabilities Dashboard
The dashboard below provides information on vulnerability factors related to COVID-19 in Richmond and Wandsworth. To look at Richmond data, please make sure you always click on the box next to Richmond in the top left corner.
- Choose a theme from the homepage by clicking on the relevant box (e.g. ‘Internet Use).
- On the theme page, use the slicers (boxes in the top left of the screen) to click an option which changes the maps, tables and charts.
Dashboard data is estimate based – for more information see the ‘Dashboard Data‘ section below.
Key Messages: Richmond
There are two clusters of wards in the south-west of the borough that appear to be areas of greater need across several factors.
Hampton and Heathfield are amongst the most populous areas for those aged 65+ and are also areas where high proportions of 65+ live in households where everyone is 65+.
In addition to Hampton and Heathfield; Whitton, Hampton North and Hampton Hill tend to have higher prevalence of heart disease, respiratory disease and other conditions. These areas are also relatively more deprived and have lower internet usage.
The exact impact of COVID-19 and reduced social contact on economy, income and employment is unclear at the moment. It will likely to disproportionately impact those who are self-employed, in jobs that cannot be done from home or in sectors that depend on footfall (retail, restaurants, pubs etc.). It will also impact those with less skilled jobs or those working temporary or short-term contracts.
COVID-19 Web Map
This web map has been built to provide data on population groups that are considered vulnerable and to help visualise geographic trends in these groups.
- Please see the ‘Web Map Data‘ section below for a definition of each layer
- Use the tick box next to each layer to turn it on or off:
- As layers are semi-transparent, multiple layers can be turned on at once to overlay data
- It is recommended that users do not try to overlay more than two or three layers at a time else patterns will be hard to interpret
- When using the health conditions layers, ensure the top-level ‘Heath 2017 – 2018’ layer is turned on
- To see the point features (e.g. doctors, pharmacies, food shops, schools), zoom further into the map
- Users can use the map to search by Postcode or Street
- See in full screen
Example- where are the largest numbers of older residents that could be struggling to get out and get supplies?:
- To see where the largest population of 65+ living alone is, you click 65 > Living Alone ONS 2018.
- To see areas with a large number of 65+ living in households where everyone is 65+, you click All Household 65 > ONS 2018.
- The two layers combined give you an idea of those areas you might want to target.
- You then might want to overlay the ‘Food Shops’ layer to see what the local suppliers are and assess the likelihood that they deliver.
COVID-19 Additional Resources
Internet Usage uses Internet User Classification 2018 data. Alexiou, A. and Singleton, A. (2018). The 2018 Internet User Classification. ESRC CDRC. © Contains National Statistics data Crown copyright and database right (2017); Contains Ofcom data (2016). Contains CDRC data from Data Partners (2017)
Population (Age) uses data from the Office for National Statistics (ONS) Mid-2018 Small Area Population Estimates. © ONS Crown Copyright 2019 licenced under the Open Government Licence
Living Alone uses calculated estimates. The proportion of people living alone was taken from the 2011 Census (via Nomis), this proportion was then applied to ONS Mid-2018 Small Area Population Estimates. This page also includes information on those aged 65+ who are living in households where everyone is 65+. © ONS Crown Copyright Reserved [from Nomis March 2020] licenced under the Open Government Licence
Deprivation uses data from the Ministry of Housing, Community and Local Government (MHCLG) English Indices of Deprivation 2019. The measures are presented as ten deciles where 1 is relatively most deprived and 10 is relatively least deprived.
Heart Disease, Respiratory Disease and Other Conditions use House of Commons Library MSOA estimates which are based on NHS Digital data from 2017/18. © House of Commons Library 2020. All rights reserved. [Using data from NHS Digital]
Jobs & Businesses uses data from ONS Annual Population Survey (Oct 2018 – Sep 2019) and ONS Business Register and Employment Survey (via Nomis). © ONS Crown Copyright Reserved [from Nomis March 2020] licenced under the Open Government Licence
Benefit Claimants uses Department for Work and Pensions (DWP) data from August 2019 (accessed via StatXplore).
Web Map Data
The following layers use data from the Office for National Statistics (ONS) Mid-2018 Small Area Population Estimates:
- Total Population ONS 2018: the total population
- Population < 1 ONS 2018: the population aged under 1. Provides an indication of where babies are being born and therefore where pregnancies might occur.
- Population > 65 ONS 2018: the population aged 65 and over
- Population > 70 ONS 2018: the population aged 70 and over
- Population > 80 ONS 2018: the population aged 80 and over
The following layers are calculated estimates. The proportion of people living alone was taken from the 2011 Census, this proportion was then applied to ONS Mid-2018 Small Area Population Estimates:
- Total Living Alone ONS 2018: the total population estimated to be living alone
- 65 > Living Alone ONS 2018: the 65+ population estimated to be living alone
- All Household 65 > ONS 2018: the 65+ population estimated to be living in a household where everyone is aged 65+
The following layers use data from the Ministry of Housing, Community and Local Government (MHCLG) English Indices of Deprivation 2019. The measures are presented as ten deciles where 1 is relatively most deprived and 10 is relatively least deprived:
- IMD Decile 2019: Index of Multiple Deprivation – general deprivation (see DataRich or DataWand for more detail)
- IDOPI Decile 2019: Income Deprivation affecting Older People Index – those aged 60 + that are income deprived
The following layers are calculated estimates. The prevalence of each condition was taken from House of Commons Library MSOA estimates, this was then applied to ONS Mid-2018 Small Area Population Estimates:
- Learning Disabilities
- Health 2017 -2018
- Coronary Heart Disease (CHD) 17-18
- High Blood Pressure 17-18
- Asthma 17-18
- Chronic Obstructive Pulmonary Disease (COPD) 17-18
- Chronic Kidney Disease 17-18
- Diabetes 17-18
- Cancer 17-18
The following layers are point features:
- Council Estates – Wandsworth only
- Food Stores – 2018 Retail Survey: Town, Local Centres and Important Local Parades only
© ONS Crown Copyright 2019 licenced under the Open Government Licence.
© ONS Crown Copyright Reserved [from Nomis March 2020]
© House of Commons Library 2020. All rights reserved. [Using data from NHS Digital]