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B. Line Housing Information Ltd

 

Using Data – Help and Advice

Site Contents

 

·        What we do

 

·        Our research history

 

·        Using data - help & advice

 

·        Favourite links

 

·        Housing models

 

·        Articles

 

·        Current focus

 

·              How we could help you

 

 

We want everyone to make the most of the data available.  Often, people just don’t know where to get it from.

This page contains links to some training sites and documents, and web addresses for some key data sources.  There is a much longer list of data sources to add to your favourites on our Favourite Links page.  Please note, although we will try to ensure these links remain up to date, some do have a habit of changing fairly frequently, so please bear with us:

Neighbourhood Statistics Online Training

This is the Office of National Statistics training page to show users how to download and use the abundance of data they have available.  It comes in a range of different geographies, which can make all the difference to what you see in the data (see more about the ecological fallacy).

Training Manual - Tips & Tricks

This training manual is one we produced in August 2008.  It has information about downloading and using data from the ONS site (in PDF format in case you have any difficulty watching training videos), guidance on where to find different types of data, and some of our favourite tools in Microsoft Excel.  There is also a section on formatting in Microsoft Word, as well as a number of keyboard shortcuts which can save bundles of time.

Hometrack Housing Intelligence System

Hometrack provide a large amount of aggregated data on house prices, valuations, demographics, incomes, property types and more at a range of geographical levels.  You can view this in map or table/chart form and download any analysis you carry out to drop straight into a report.  The system is already in place in many organisations (public and private) across the UK.  Access to the system is subject to a subscription fee.  For further information contact business@hometrack.co.uk.

CORE (The COntinuous REcording System)

We buy our CORE data direct at postcode level to enable us to disaggregate the data.  However, if you work for a Local Authority or Housing Association, you can access summary reports of data specific to your stock from the CORE website.  If you have time to explore the website, you will find a huge amount of information available in numerous forms and at various levels of detail.

Housing Strategy Statistical Appendix (HSSA)

These spreadsheets contain data by Region/Local Authority on many topics relating to the housing stock, including estimated total dwellings and tenure, dwelling condition, vacant dwellings, waiting lists, lettings and nominations, homelessness and Houses in Multiple Occupation.  It is buried fairly deeply in the DCLG website, so once you have found it, save it to your favourites folder.

Land Registry

We get postcode level sales data from the Land Registry to carry out more detailed analysis on house sales (which includes property type, sale price, new build and free/leasehold data).  However you can gauge some indication of trends using their house price index, or order data on a specific property for £3.00.  

Annual Survey of Hours and Earnings

The Annual Survey of Hours and Earnings is produced by the Office of National Statistics, providing information about earnings by industry, occupation and region.  Remember though that earnings is not the same as income – people are likely to have other sources of finance within their household, such as a second wage, benefits, savings, etc.

Office of National Statistics: Household Projections to 2029

These household projections have been the basis for a lot of the building of smaller units we’ve all seen recently (see what we think about this in the article by Bob Line, “Looking at potential future housing demand using household projections”.  Whatever your opinion about how they are used, they are a useful tool for looking at the demographic shape of an area.

 

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