Open data

Top level, Business Rates:


The following tables provide information on non-domestic properties within the North Devon Council area.

The information is updated and published every three months and will be updated during the first two weeks of October 2017.

Datasets under Business Rates:


TitleDescriptionPublishedDownloadFile typeFile Size (bytes)Reviewed
All NDR Properties Occupied and Empty as at 01.07.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. Jul 13 2017 Dataset All NDR Properties 01 07 2017.csv csv 912161 Quarterly
All NDR Credit Balances as at 01.07.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. Jul 13 2017 Dataset NDR Credits 01 07 2017.csv csv 6467 Quarterly
Empty NDR Properties as at 01.07.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. Jul 13 2017 Dataset All NDR Empty Properties 01 07 2017.csv csv 45976 Quarterly
Occupied NDR Properties as at 01.07.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. Jul 13 2017 Dataset All NDR Occupied Properties 01 07 2017.csv csv 867026 Quarterly
Empty NDR Properties as at 13.04.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. May 8 2017 Dataset All NDR Empty Properties 13 04 2017.csv csv 55825 Never
Occupied NDR Properties as at 13.04.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. May 8 2017 Dataset All NDR Occupied Properties 13 04 2017.csv csv 981366 Never
All NDR Properties Occupied and Empty as at 13.04.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. May 8 2017 Dataset All NDR Properties 13 04 2017.csv csv 1036477 Never
All NDR Credit Balances as at 13.04.2017 This dataset is published in comma-separated value csv format, however if you prefer the format to be in Excel, you can easily do this when you save the dataset to your computer. Click once on the link to the dataset you want, a box will pop up giving you the option to open or save. Choose save. You will then need to change the file format from csv to Excel. Then all you will need to do is to select where you wish to save the file onto your computer and it will then convert back into Excel. Please note that this dataset has been redacted in accordance with Section 40 of the Act. Apr 26 2017 Dataset NDR Credits 13 04 2017.csv csv 8330 Never

Open Government Licence

Unless otherwise stated, the data is licensed under the Open Government Licence. This means that you do not need permission to use or re-use the data.

Search datasets: