Maintenance is scheduled to take place on Sunday 2nd April which may result in the loss of some system functionality. Please avoid critical planned work on the platform on this date.
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To enable you to use Active Places Power, the service puts 'cookies' on to your computer.
These cookies are used to:
Help us understand how you use the service, so we can make improvements
Remember what notifications you have seen so that you're not shown them more than once
Temporarily store the information you enter
Some cookies are needed to support essential elements of Active Places Power and enable you to use the website as intended. For example, essential cookies enable registered users to log in and access information shared with them. They also allow you to download report results.
These cookies need to be always on:
Prevents the news banner from re-appearing when closed
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Indicates the user’s preference regarding non-essential cookies
Anti-forgery token, helps to ensure data is submitted securely
Authenticates a user as logged on
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Used while a report is being downloaded. Removed when the download completes
We are continually working on improving the services we provide you with. To support this work, we need to understand how users navigate through, and use our pages and services.
The following cookies, whilst not essential to the running of the website, are needed for Google Analytics to provide us with statistics on how you use our platform, so we can improve it based on user experiences. These cookies collect information about:
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What is the National Statistics Socio-economic Classifications (NS-SeC) data?
The National Statistics Socio-economic Classifications (NS-SeC) is a measure of employment relations and conditions of occupations. These are central to showing the structure of socio-economic positions in modern societies and helping to explain variations in social behaviour and other social phenomena. For more information on this dataset see http://www.nomisweb.co.uk/census/2011/ks611ew .
Within Active Places Power NS-SeC of usual residents aged 16 to 74 are a series of map layers at Lower Super Output Area (LSOA) geographies.
See Map > Map Layers > Population Data > Socio-economic (NS-SeC).
Nine classifications (each as individual map layers) can be displayed showing the percentage of population within each classification or classification grouping. They are:
- Managerial combined (1-2)
- Intermediate occupations (3)
- Small employers and own account (4)
- Lower supervisory and technical (5)
- Intermediate, Small and Lower (3-5)
- Routine combined (6-7)
- Never worked and unemployed (8)
- Routine and not working (6-8)
- Not classified (9)
Each individual map layer has a standard symbology showing the percentage of population within the classification (one or more) divided by total population. 10% intervals up to 100% (deciles) are used.