This dataset contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom. The NSPL relates current postcodes to a range of current statutory administrative, electoral, health and other statistical geographies via ‘best-fit’ allocation from the 2011 Census output areas. It supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, which provides geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations.

Recorded and expected prevalence of stroke/TIA in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of hypertension in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of diabetes in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of chronic obstructive pulmonary disease (COPD) in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of chronic kidney disease (CKD) in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of coronary heart disease (CHD) in Camden, by GP practice, 2014/15
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Recorded and expected prevalence of atrial fibrillation in Camden, by GP practice, 2014/15
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This dataset contains schemes which involve the excavation or extension of a basement, granted planning permission in the FY2010/11 to FY2013/14. Not all of these scheme have been implemented. This data does not include basement works undertaken as permitted development, which do not require planning permission. The dataset was produced by the Strategic Planning and Implementation Team in 2015. Locations are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest postcode (derived from the OS Code-Point Open product).

This view shows planning applications received in the last seven days by the London Borough of Camden. It updates daily.

Planning application extents are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest building in the OS Open Map-Local product. Attribution includes application number, development address, development description, registered date, decision date and case officer.