Download all the data in Local Insight at LSOA level

You can now download all the data (more than 900 datasets) in Local Insight for every Lower Layer Super Output Area (LSOA) in the country. In addition to being able to explore data within Local Insight, we hope that access to all the raw data in one place will make further analysis even easier.

This development was inspired by our user base and voted a development priority at the 2018 Local Insight user group.

How will the All Data Download work?

You can now download a CSV file which contains all the data in Local Insight for all LSOAs in the country. This file will be updated on a quarterly basis, so that you always have the latest data at your fingertips. We will send a mailout to all users every time the file is updated to keep you in the loop.

The CSV file (roughly 300 MB in size) can be found on the Reports tab

Download data button

Please note, the All Data Download feature is only accessible on the logged in Local Insight site. Users of the public access sites will not be able to download all the data.

 

What does the file contain?

The file contains data for all the indicators in Local Insight at LSOA level, as well as the associated metadata (e.g. name, description, date, source).

 

How to find the LSOAs  you care about

In Column B, we have included the local authority names. Filter this column to search only for the local authorities you are interested in, in order to make the file more manageable.

If you need a reminder of how LSOAs are defined and how they are created check out this handy geographies guide 

 

Further analysis

The All Data Download makes further analysis easier outside of Local Insight. For example anybody within your organisation could very quickly and easily:

  • Use Excel or other visualisation tools to produce your own charts and tables for use in your analysis
  • Identify which (if any) of your LSOAs are in the 10% most deprived nationally for the index of multiple deprivation.

And of course the analysts amongst us could delve a lot further into the data, using the Rank command in Excel for benchmarking or using conditional formatting to see whether the areas you care about score relatively high or low compared to other areas, as a couple of examples.

We would love to know how you are using the All Data Download and if you have any ideas and tips to share with the rest of Local Insight user base, please tell us on support@ocsi.co.uk

 

Download data for all your custom areas

If you want to download data for all your existing custom areas in Local Insight, you can use the dashboard export feature.

Learn how to export data from the dashboard 

We are currently improving the dashboard and the export functionality. The first iteration of improvements for this is currently in testing and there is still time to give your feedback

 

Full guidance & feedback

For more information on using the All Data Download, please read through the Knowledge Base.

If you have any thoughts & feedback on this new functionality then do get in touch. We’d love to hear how you are going to use the All Data Download and if there is anything we can do to make the process of accessing and analysing the data any easier.

You can get in touch with the Support Team on support@ocsi.co.uk or on 01273 810270.

 

Better communication around report generation

We have made some improvements to the way that Local Insight manages and communicates the status of report generation. Previously, when you requested a report for a custom area, it would show as report pending. However, if the area was not valid (e.g. because it was too small) and unable to create a report, then the report would remain pending indefinitely.  This was understandably frustrating and to remedy this, we have improved the status messages so that if a custom area is not valid, this is now highlighted, so that you can edit the area and generate a new report.

Why do reports get stuck pending?

Generating a report should take roughly 10 -15 minutes. If the report has been pending for a lot longer than this, there may be a problem with the way the custom area was created or there may be a backlog of reports waiting to be generated..

 

Custom area too small to produce data

When you create a custom area by drawing on the map, you can draw an area as large or small as you like. However, in order to generate a report, the area must be large enough to produce data. For this,  the area must cover at least 50% of the residential postcodes in at least one output area. On average an output area has an average population of about 310 residents. If you are not familiar with output areas or statistical geographies then check out this handy beginners guide to statistical geographies.

 

An output area in Teeside

An output area in Teeside

 

A lot of reports have been requested at once

Sometimes your reports will show as pending for a long time if a large number of reports have been generated at once, in which case your reports will be added to a queue. While we cannot prevent this from happening, we have improved the way we monitor this to ensure that we can step in and speed up the process if necessary.

 

New status updates   

You will see the following changes when generating reports in Local Insight.

Immediately after creating a custom area, the Report button will read as Report Unavailable and not be clickable until the area has been successfully created (this should take a couple of minutes).

report unavailable

If the area you have created is too small, the Report button will read as Area failed. You will not be able to generate a report for that area. You then need to edit the area so that it is large enough to generate a report.

Area failed

If the area has been successfully created, you will see the Request  Report button.

Request report

Once clicked, it will read Report Pending until the report is generated and published in the Reports tab

How to fix a custom area that is too small

If you do create an area which is too small and you see the Area Failed text, then you can just edit the area and expand it until it is large enough to create data.

Get in touch!

If you have any questions, please do not hesitate to get in touch with us on support@ocsi.co.uk or give us a call on 01273 810270

Local differences in internet engagement

What are the local differences in how people engage with the internet?

Digital Exclusion is not a new topic. We know that even today, when people in the UK check their smartphones, on average, every 12 minutes of the waking day,  there is still a proportion of the population that lack access to the internet and the skills to be able to use it (as well as those people who actively choose to disengage with the internet).

We also know that many of those that are digitally excluded are already likely to experience other challenges, such as the elderly, unemployed, people with disabilities and those in social housing. However, there is a lack of data available at a local level on those groups that are digitally excluded and where they are.

Beyond the issue of digital exclusion, greater insight into how different people are using the internet can only be a good thing, and another tool that communications team can use to ensure that their messages are being delivered in the right way to the right people. This information could be used across the public and third sector to identify the most appropriate channels to communicate through, measure uptake of digital services and target digital literacy programmes.

The ESRC Consumer Data research Centre (CDRC) at UCL has developed a Classification of Internet Use – how people living in different parts of the country interact with the internet. Although this dataset alone doesn’t fill the data gap and can’t answer all questions relating to digital skills, it is great to see datasets that tackle this issue at small area level. It is equally great that the data is updated regularly, providing an up-to-date picture of internet use, as well as insights into how areas are changing over time.

These datasets are now available for you to use in Local Insight.

About the data

The classification uses data from the British Population Survey (BPS), which provides information on the behavioural characteristics of the population regarding various aspects of internet use. These are linked with demographic data from the Census and supplemented with data from online retailers and infrastructure data from Ofcom on download speed.

Every LSOA in England has been classified into 10 groups, detailed below.

IUC

CDRC have also produced a pen portrait for each of these groups, providing a profile of how each group interacts with the internet in regards to e.g typical hardware owned, how often they use the internet and the extent to which they use the internet for communication and entertainment.

Of course, some caution should be taken when using this data in isolation to target services, as whole LSOAs are being assigned single classification types and there will likely be notable differences in internet behaviours within an LSOA.

How to access the data

You can download the raw data at LSOA level and Pen Portraits directly from the CDRC website once you have registered for an account. You can also explore the data in interactive maps from CDRC too without registering for an account.

We have also added each of these classifications into Local Insight. As we have mentioned previously, these datasets give a really important insight into how people engage with the internet – but they are not the whole story.

Ewithdrawn

To add these datasets to your maps and dashboard, use the Manage Indicators functionality. Search the Unassigned theme for ‘Internet User Classification’. You will be able to add each of the 10 groups to your maps and dashboards as individual indicators.

If you have any questions on these datasets, or suggestions for new ones to add, please get in touch on support@ocsi.co.uk

New Local Health data in Local Insight

The latest additions to Local Insight are an interesting bunch. Not least because they are local health datasets and also because they are so relevant to a number of different sectors, job roles and priorities.

The 21 new indicators added look at estimated prevalence of a number of health conditions including Asthma, Dementia, Depression, Diabetes, Epilepsy, Serious Mental Illness & Learning Disabilities.

Download this Excel file to see a List of all new Local Health data in Local Insight

Read on for more information on the datasets, a closer look at the prevalence of dementia and how you can explore the data for yourself.

Explore in Local Insight:

You can now view these datasets in Local Insight on the maps, dashboard and in the reports.

View on the maps and on the dashboard

To add these new datasets to the Local Insight maps and dashboard, head to ‘Group Admin’, ‘Manage Indicators’ and then ‘Unassigned’ to drag and drop the indicator into a theme. When searching for the new indicators in the Unassigned theme you can search for the word “prevalence “.  (If you have not customised your themes yet, click ‘Start managing your indicators’, then head to unassigned). For more detail, see our knowledge base article on how to do this, here.

Please note only Group Admin users can select to show these new indicators on the maps and dashboard if you are not a Group Admin and are unsure who to ask within your organisation please get in touch with us on support@ocsi.co.uk 

Reports 

All reports generated from this time point onward (February 2019) will have data for the new indicators on page 46. See below, a graph from one of the Local Insight reports showing how areas fare of the disease prevalence indicators.

disease prev

More on the data:

The new indicators were originally collected and published at GP practice level by NHS Digital. Data collected at GP level can be very valuable for identifying the health challenges experienced by individual GP practices and their patients. However, for the purpose of analysis, it can present some challenges as it is not straightforward to link practice data to standard statistical geographies – patients living in the same neighbourhoods can attend different GP practices, and patients are not necessarily registered with their local GP, so it is difficult to straightforwardly attribute GP data to the neighbourhood in which the GP is located in.

The Commons Library have recently taken these indicators and aggregated them to MSOA level in order to estimate disease prevalence, so that the insights from the data can be used in a more place-based way.

For more detail on the methodology used to aggregate GP level data to MSOA, take a look at The Commons Library’s documentation.

These datasets have also been used in their interactive tool, which provides health related information for each parliamentary constituency.

Health warnings:

As with any dataset, these indicators come with their own challenges and caveats. These datasets are estimates­ and based upon what has been reported to GPs. The following guidance on using the datasets has been taken from The Commons Library:

  • These figures are only estimates and some divergence between separate areas served by an individual GP practices is bound to be lost.
  • In attributing GP practice-level data to different areas, weighting adjustments have been made in respect of the relevant age category (e.g. diabetes prevalence is measured for age 17+ only), based on the varying age profiles of different small areas.
  • For some conditions, the proportion of people on GP registers is less than the proportion of the people living with the disease. For example: only 67.5% of cases of dementia are estimated to have been diagnosed, and 29% of adults are obese compared with 10% identified on GP registers. The prevalence estimates here represent only those cases diagnosed by a GP.
  • These estimates are sensitive to the quality and consistency of data reporting by GPs. People who are not registered at GP practices are not included in the estimates – either in the numerator or the denominator.
  • Some GP practices did not submit data in 2017/18. In these areas, data for 2016/17 was used.
  • Comparable figures can’t be calculated on the same basis for Scotland, Wales or Northern Ireland.

A closer look at dementia:

Using Local Insight, we have taken a look at one of the indicators in more detail – the estimated prevalence of dementia across Bracknell Forest. The estimate is calculated as a percentage and is based on the number of people listed on GP registers in 2017/18, and the number of people recorded as having dementia.

The estimated prevalence of dementia at a national level is 0.8%. Bracknell Forest has a slightly lower estimated prevalence at 0.6%. This is equal to the average prevalence across the whole of Berkshire (defined as Bracknell Forest, Reading, Slough, West Berkshire, Windsor and Maidenhead, Wokingham). Of the local authorities in Berkshire, Windsor and Maidenhead has the highest estimated prevalence of dementia (0.9%) and Slough the lowest (0.4%).

When looking at the estimated prevalence of dementia across wards in Bracknell Forest, Crown Wood ward has the lowest estimated prevalence of dementia (0.3%) and and Winkfield and Cranbourne ward has the highest (1.2%)

A closer look at the newest additions to Local Insight

Participation in Higher Education

One of the newest datasets added to Local Insight is particularly exciting as it gives an insight into participation in Higher Education at a local level. The data is published by the Office for Students at MSOA level (which we have apportioned to other geographies) and shows the percentage of young people that entered higher education aged 18 or 19 as a proportion of all the 18- or 19-year-olds in the area.

NB: Although the denominator is a proportion of the 18- or 19-year-olds in the area, the calculation is not as straightforward as this. To compensate for the large migration of 18- and 19-year-olds that attend university – often moving to concentrated student areas – the calculation is based on a previous cohort. Or in other words, it is based on the total number of young people (15 year olds) who would be 18 or 19 during the 2009-10 to 2014-15 academic years.

Due to this inherent variability involved in the estimation of these rates – some of the participation rates are estimated to be greater than 100%, due to population turnover of any 15 year olds that moved in or out of the area before reaching the age of 18 or 19.

Explore the data for yourself within Local Insight (Tip: you will first need to add the indicator to the map using the Manage Indicators functionality) and use it to better understand:

  • Where to target campaigns and funding on participation in higher education
  • Whether the local jobs market is likely to meet the demands of young people leaving education
  • The local need for training programmes and apprenticeships
  • Any risks for youth unemployment and the impact on economic planning

Headline trends:

  • Local Authorities in and around London have the highest proportion of 18 and 19 year olds participating in higher education, with concentrations across the country focused around the main big university cities.
  • The five Local Authorities with the highest proportion participating in higher education are in London: City of London (110%), Kensington and Chelsea (93%), Richmond upon Thames (85.9%), Westminster (70.4%), Harrow (67.2%). The England average is 37.5%.
  • Lower levels of participation in higher education are evident in coastal authorities, smaller cities and more rural areas across the country
  • The five Local Authorities with the lowest proportion participating in higher education are: Hull (21.6%), Stoke-on-Trent (23.5%), Barnsley (23.6%), Thurrock (24.8%), Nottingham (25.2%)

SME lending debt per person aged 18+

Another addition comes from UK Finance, looking at the total amount of borrowing outstanding on customer accounts for SME (small and medium sized enterprises) lending.

This has been calculated as a ‘debt per person’ figure in order to ensure areas are being compared like for like when looking at the distribution of SME lending.

Although it is interesting to explore the data, and the trends at both a national and local level, caution should be taken when attempting to discern causality.

Without in depth local knowledge and other supporting statistics, it is not possible to tell whether higher levels of lending in a local area is a positive or negative factor. For example; high levels of lending activity could be a positive indicator for local economic health, driven by a thriving small business sector, characterised by a high number of small businesses with outstanding (but manageable) loans to support their growth.

Conversely, it could indicate that small businesses in that local area are struggling, and taking out loans in order to help them survive, in which case, would be a less positive outlook for local economic health.

So, as is the case with all data, this data should not be used in isolation to make decisions – but can provide supplementary information and knowledge to help inform understanding of the local economic picture.

You can explore the data for yourself in Local Insight by adding the indicator to the map using the Manage Indicators functionality.

Small area benefits measures from DWP

There have been a number of changes in the local level benefits measures that the Department for Work and Pensions (DWP) publish on a regular basis. Take a look at our short guide for anybody navigating the changes. This details what the new data shows, what it replaces and what it can be used for.

Data updates in Local Insight

As we wind down for the festive season, we bring updates from the Department for Work and Pensions (DWP) and the Valuation Office Agency (VOA).

The below table is a snapshot of some of the key datasets which have been updated. To see a full breakdown of all datasets updated this month, see our Knowledge Base article containing a list of all the datasets available in Local Insight.

New indicators for Local Insight

Indicators on Source Reports Maps
Personal Independence Payment (PIP), broken down by gender and mental health claimants Department for Work and Pensions (DWP) Yes Yes
Benefit claimants (benefit combinations), broken down by age and type of benefit Department for Work and Pensions (DWP) No Yes

Updated indicators for Local Insight

Indicators on Source Reports Maps
Jobseekers allowance and unemployment benefit (JSA and Universal Credit), broken down by claim period, age and gender Department for Work and Pensions (DWP) Yes Yes
Universal Credit claimants – Conditionality Regime, broken down by claimant status Department for Work and Pensions (DWP) Yes Yes
Dwelling Stock by Council Tax Band, broken down by banding Valuation Office Agency (VOA) Yes Yes
Dwelling stock, broken down by time of build Valuation Office Agency (VOA) Yes Yes

Current Indicators within Local Insight

To see a list of all of the current indicators available in Local Insight check out this Knowledge Base article containing a list of all the datasets available in Local Insight

Want to see more indicators within Local Insight?

We are always looking to add new indicators to Local Insight. So if you have any ideas of particular indicators you would like to see then let us know. Provided that the data is open data and published at small area level, so below Local Authority level, we will load the data in for you.

Get in touch!

If you have any questions about the data updates, please do not hesitate to get in touch with us on support@ocsi.co.uk or give us a call on 01273 810270.

Christmas holiday

Office closure

Image credit: https://www.pexels.com/photo/santa-claus-plush-toy-1556679/

Image credit: https://www.pexels.com/photo/santa-claus-plush-toy-1556679/

 

We hope you have a lovely break over the festive period! This is just to let you know that OCSI will be closed Monday 24th December to Wednesday 2nd January (inclusive). We will not be able to respond to support requests during this time. We will answer any support requests when the office re-opens on Thursday 3rd January.

As another year draws to a close, we would like to thank you for your continued support and interest in Local Insight. We are looking forward to what 2019 will bring!

 

Hover over the maps in style!

Keen-eyed users may have noticed something different about the areas you can hover over in Local Insight – that’s because we’ve improved the way you can interact with data displayed on the map.

Hover feature

As part of our recent move to using 2011 boundaries in Local Insight, we undertook work to improve the way data is displayed on the map. Previously when data was displayed on the map, it was only possible to see the data value for an individual LSOA by hovering over it. Now our new and improved map allows you to see the indicator value of any individual LSOA, MSOA or LA!

hover gif

This improvement and the design of the functionality was inspired by input from a number of users. So a big thank you to all of those people who gave us feedback on this area of the site. For example, previously when you selected an area, the data value disappeared and only the geographic code displayed. We received lots of feedback identifying how it is valuable to see both the code and the data value and so we have changed this to always show both

The Knowledge Base

For a more detailed article on how to view data on the map, including for an individual area (at any geography level), see our article on Viewing Data For Individual Areas.

Get in touch!

If you have any questions, please do not hesitate to get in touch with us on support@ocsi.co.uk or give us a call on 01273 810270

Data updates in Local Insight

This is quite possibly our largest data updates ever!

The below table is a snapshot of some of the key datasets which have been updated. To see a full breakdown of all datasets updated this month, see our knowledge base article containing a list of all the datasets available in Local Insight.

New indicators

Indicators on Source Reports Maps
Universal Credit claimants – Conditionality Regime indicators Department for Work and Pensions (DWP) Yes Yes
SME lending debt per person aged 18+ UK Finance Yes Yes
Participation in higher education Office for Students (OFS) Yes Yes

 

If you want to use these indicators remember to add them to the map and dashboard. If you are unsure how to do this, then this article can help:

Revised indicators (Revised as part of Mid Year Estimate revisions)

Please note: These indicators have been updated because the denominator used for the indicator’s calculation has changed.

Indicators on Source Reports Maps
Business units/VAT based local units Office for National Statistics (ONS) Yes Yes
Children in out-of-work families HM Revenue and Customs (HMRC)/Department for Work and Pensions (DWP) Yes Yes
Jobs density (jobs as a percentage of the working age population) Business Register and Employment Survey (BRES) Yes Yes
Road accident casualty rate Department for Transport (DfT) Yes Yes
National Insurance numbers issued to non-UK nationals Department for Work and Pensions (DWP) Yes Yes
Crimes Crimes Yes Yes
Big Lottery grant funding Big Lottery Yes Yes

 

Updated indicators

Indicators on Source Reports Maps
Population Office for National Statistics (ONS) Yes Yes
Population density (persons per hectare) Office for National Statistics (ONS) Yes Yes
Unemployment benefit Department for Work and Pensions (DWP) Yes Yes
Universal credit Department for Work and Pensions (DWP) Yes Yes
Housing benefit Department for Work and Pensions (DWP) Yes Yes
Attendance Allowance claimants Department for Work and Pensions (DWP) No Yes
Carers receiving Income Support Department for Work and Pensions (DWP) Yes Yes
Disability Living Allowance claimants Department for Work and Pensions (DWP) Yes Yes
Employment and Support Allowance claimants Department for Work and Pensions (DWP) No Yes
Incapacity Benefit claimants Department for Work and Pensions (DWP) Summary yes, breakdowns no Yes
Income Support claimants Department for Work and Pensions (DWP) No Yes
Lone Parents receiving Income Support Department for Work and Pensions (DWP) Yes Yes
Older people social care benefit (Attendance Allowance) Department for Work and Pensions (DWP) Yes Yes
Pension credit claimants Department for Work and Pensions (DWP) No Yes
Debt UK Finance Yes Yes
Physical activity, broken down by amount and frequency Sport England Yes Yes
Universal Credit claimants – Conditionality Regime Department for Work and Pensions (DWP) Yes Yes

Current indicators within Local Insight

To see a list of all of the current indicators available in Local Insight check out this knowledge base article containing a list of all the datasets available in Local Insight.

Want to see more indicators within Local Insight Insight?

We are always looking to add new indicators to Local Insight. So if you have any ideas of particular indicators you would like to see then let us know. Provided that the data is open data and published at small area level, so below Local Authority level, we will load the data in for you.

Get in touch!

If you have any questions about the data updates, please do not hesitate to get in touch with us on support@ocsi.co.uk or give us a call on 01273 810270.