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This data was obtained from the US Census Bureau’s 2010 US Census. The US housing datasets provided by eSpatial can be used to examine and analyse the types of residential housing use across the US.

These datasets can be used in conjunction with the eSpatial mapping software to create reports which investigate the occupancy status of housing units within the US. Reports can be generated on this topic at the US State, County, CSA, MSA and ZCTA geographical levels. You can also link and connect your own personal or commercial data to these datasets. Residential property usage across the US can also therefore be analysed in relation to your own data.

Below is an example of a simple US housing 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.

View this dataset in more detail

View this dataset in more detail

A simple report was created using the eSpatial mapping software and the Housing (State) dataset it provides. This report examines residential property usage across the US. The US housing datasets provided by eSpatial offer a number of different residential tenure categories which can be reported on but for the purpose of this report occupied, vacant, owner occupied and renter occupied housing units were chosen as an example.

States are colored and categorized according to the number of occupied housing units 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 states (e.g. North Dakota) have the lowest number of occupied housing units, less than 500,000 while red colored states (e.g. Virginia) have the highest number of occupied housing units, more than 2,650,000. It is also therefore easy to surmise that the number of occupied housing units in the light orange (e.g. Kansas), orange (e.g. Connecticut) and dark orange (e.g. Tennessee) colored states lies somewhere between 500,000 and 2,650,000 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 Total Vacant Housing Units to see these values mapped in relation to US states).

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 descending on Total Housing Owner Occupied to see which state has the highest number of owner occupied residencies). 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 Housing Renter Occupied so that states with between 500,000 and 1,000,000 renter occupied housing units are only displayed on the map).

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