Occupation,Employed (in employment),Full-time working,Hours worked,Part-time working,Sex
This dataset provides 2011 Census estimates that classify usual residents aged 16 and over in employment the week before the census in England and Wales by occupation, by hours worked and by sex. The estimates are as at census day, 27 March 2011.

These statistics provide central government with an understanding of the workforce and the type of skills available and are particularly useful for local economic development, monitoring labour market trends and contributing to schemes created to increase the number of skilled jobs for local residents. The data influence both central and local government resource allocation, Public Service Agreement (PSA) targets for regional competitiveness, and can inform equality and diversity strategies.

This information is used to identify working patterns in local areas, to target resources and to identify potential labour supply.
 
The statistics give an understanding, at a local level, of likely travel patterns and times. They can be used to identify the requirements for public transport, for example in order to reduce reliance on private transport.

NS-SeC,Economic activity,Economically active,Economically inactive,Employed (in employment),Employee,Full-time working,Long-term unemployed,Part-time working,Self-employed,Students,Unemployed,Sex
This dataset provides 2011 Census estimates that classify usual residents aged 16 and over in England and Wales by NS-SeC, by economic activity and by sex. The estimates are as at census day, 27 March 2011.

These statistics are used to help in developing and monitoring policy aimed at assessing the needs of population according to their socio-economic status. This information is used to plan services and target resources, and allows public authorities to assess and tackle discrimination.

Information on economic activity status - as defined by the International Labour Organisation - is used by central and local government, researchers and other organisations to understand local labour markets and to develop and monitor policies at local and regional levels. It is used to identify deprived areas, to allocate community and economic development funding, and for housing and transport planning purposes.