This data was obtained from the Office of National Statistics 2011 English and Welsh census. The tenure datasets provided by eSpatial can be used to examine and analyse the types of residential housing use across England and Wales. These datasets can be used in conjunction with the eSpatial mapping software to create reports which investigate the occupancy status of housing units within England and Wales at the English government office region geographical level and the English and Welsh county and unitary authority, local authority and ward geographical levels. You can also link and connect your own personal or commercial data to these datasets. Residential property usage across England and Wales can also therefore be analysed in relation to your own data. Below is an example of a simple tenure report. This report was designed by eSpatial to illustrate how to get the most out of the eSpatial mapping software and the data it provides.
A simple report was created using the eSpatial mapping software and the Tenure (County and Unitary Authority) dataset it provides. This report examines residential property usage across England and Wales. The tenure datasets provided by eSpatial offer a number of different residential tenure categories which can be reported on but for the purpose of this report owned, privately rented and socially rented residences were chosen as an example.
County and unitary authorities are colored and categorized according to the number of owned residences within them. The graduated color scheme adopted by eSpatial mapping software allows for a quick and easy analysis of this data. It is evident from the map that yellow colored county and unitary authorities (e.g. Rutland) have the lowest number of owned residences, less than 40,000 while red colored county and unitary authorities (e.g. Cambridgeshire) have the highest number of owned residences, more than 100,000. It is also therefore easy to surmise that the number of owned residences in the light orange (e.g. Bedford), orange (e.g. Milton Keynes) and dark orange (e.g. Central Bedfordshire) colored county/unitary authorities lie somewhere between 40,000 and 100,000 residences respectively.
Firstly the topic reflected in the map can be changed quickly and easily simply by selecting the map this field option. Once this option has been selected the map will change to reflect the values in this topic (e.g. select the map this field option on % privately rented households to see these values mapped in relation to England and Wales). Secondly the report can be sorted in ascending or descending order. This is useful when trying to decipher quickly which areas have the highest/lowest values (e.g. select sort ascending on Social Rented: council Households to see which county/unitary authority has the lowest number of socially rented residences). Finally the report can also be filtered by specific values. This is useful when trying to quickly search for areas with specific values (e.g. select filter results on total privately rented households so that county and unitary authorities with between 50,000 and 75,000 privately rented residences are only displayed on the map).