Population figures - Hampshire County Council small area population forecasts 2008 based
Rural urban figures-Rural & Urban Classification 2004
These data are derived from 2001 Census data
Areas were treated as 'urban' or 'rural' simply on the basis of their geographical relationship to settlements of 10,000 or more population. More specifically, where the majority of the population of an area lives within settlements with a population of more than 10,000 people, the area is treated as urban. All other areas were treated as rural.
For further information or a more detailed breakdown on the population figures shown please go to the Demography section pages
Source: Office for National Statistics
The following table shows the number of net dwellings completed in the Hampshire County Council area by large and small sites each year since 2003. The information is obtained through detailed annual surveys carried out by the Land Supply team and local authority colleagues.
Note : Large sites are sites of 10 or more dwellings
Source: Land Supply team, Research and Intelligence group, Hampshire County Council
For more information on Housing, Industrial, Leisure and Retail sites please visit the Land Supply section pages
Source: HM Land Registry
For more house price information see the Land Registry House Price Index pages
Source: Business Register and Employment Survey 2013 and 2012
All broad industry definitions based on Standard Industry Classification (SIC) 2007. The revised SIC 2007 is not directly comparable to the earlier SIC 2003 or 1992 used in the Annual Business Inquiry (ABI).
All estimates rounded to nearest 100 employees.
Excludes SIC 2007 01:000 farm labourers.
An employee is anyone aged 16 years or over that an organisation directly pays from its payroll(s), in return for carrying out a full-time or part-time job or being on a training scheme. It excludes voluntary workers, self-employed, working owners who are not paid via PAYE.
The Business Register and Employment Survey (BRES) replaces the Annual Business Inquiry (ABI), but remains based on a sample survey so all figures are estimates subject to reliability measures which need to be taken into account when interpreting the data. The lower the level of geography and industry the less reliable the data.
The location quotient (LQ) compares the local economy to a reference economy, in the process attempting to identify specializations in the local economy. The location quotient is based upon a calculated ratio between the local economy and the economy of some reference unit, in this case the local authority area referenced to Great Britain. A figure equal to or close to ‘1.00’ implies parity between the local and national employee share for that sector, while figures above suggest local sector concentrations.
Source: Annual Survey of Hours and Earnings 2013 (Resident based query), National Statistics. Earnings rounded to the nearest pound.
Source: Annual Survey of Hours and Earnings 2013 (Workplace based query), National Statistics. Earnings rounded to the nearest pound.
NOTES: Earnings are median gross weekly estimates. The median is the value below which 50% of all employees fall. It is preferred over the mean for earnings data, which is influenced more by extreme values e.g. small numbers of very high earners.
Resident based earnings are the average earnings of employees who live in the local district and includes local resident workers and out-commuters. Workplace earnings include local resident workers and in-commuters.
C.I % +/- is the confidence interval around the earnings estimate at the 95% level (0.05). As a rule of thumb, the higher the percentage value the less reliable the data. Any value above 10% should be viewed with caution.
Source: DWP Claimant Count, National Statistics
From August 2010 all claimant rates are now based on the revised working age population. This moves the female working age from 16-59yrs to 16-64yrs to be in line with the male working age. This reflects the change in pensionable age for female workers, but the actual changes to pensionable age will be gradually introduced over the coming years. However, this 'big bang' methodology has been applied by the Office for National Statistics in response to the consultation exercise.