Local Health Area Profiles

Local Health Area Profiles

The Island Health region is divided into 14 local health areas (LHAs) – geographic areas defined by the Ministry of Health. Each LHA profile provides information about that area's population, health status and how often health services are used.  Please read Interpretation Guide to understand the information presented in each profile, for details on the indicators and links to publicly accessible data sources and information on scope and usage.

For questions, past profiles or if you notice a discrepancy, please contact Maritia Gully at Maritia.Gully@viha.ca.

Interpretation Guide 2017

70 Alberni Clayoquot LHA Profile 2017

72 Greater Campbell River LHA Profile 2017

71 Comox Valley LHA Profile 2017

65 Cowichan Valley South LHA Profile 2017

61 Greater Victoria LHA Profile 2017

64 Southern Gulf Island LHA Profile 2017

68 Greater Nanaimo LHA Profile 2017

66 Cowichan Valley West LHA Profile 2017

67 Cowichan Valley North LHA Profile 2017

69 Oceanside LHA Profile 2017

63 Saanich Peninsula LHA Profile 2017

62 Western Communities LHA Profile 2017

85 Vancouver Island North LHA Profile 2017

84 Vancouver Island West LHA Profile 2017

For more statistics and information,  visit our main Population Health Statistics & Publications page.

Local Health Areas Map

About Our Maps

Island Health uses geographical information systems (GIS) to map health statistics. The type of map we use is called a choropleth map.

Choropleth maps display patterns in different areas by shading them different colours. They are widely used in health mapping for a number of reasons:

  • The majority of health and demographic data is only released by area.
  • By not showing precise locations, these maps avoid concerns about privacy and confidentiality.

Choropleth maps give the impression that each area is uniform, with sharp differences between areas, even though data may change gradually or continuously.

The map’s appearance and the message it conveys varies depending on the size and number of areas mapped, and how they are arranged. For example, small areas are more likely to capture the underlying pattern of health events, while large areas conceal local differences.