Indicators help us to assess our municipality's performance, measure progress and compare with other cities. The results also help us monitor our Council Plan and guide policy, planning and management to ensure that Melbourne continues to be a liveable, bold, inspirational and sustainable city.

A visual representation of the indicators presented here can be found in our online visualisation. The indicators are from a select list we collect for the following two main activities:

1. The City of Melbourne Social Indicator Survey (CoMSIS) provides insight into the health, wellbeing, participation and connection of residents in our city. This data is collected to directly address some of the Council Plan’s municipal outcome indicators and support our health and wellbeing priorities. Findings of the survey give insight into the perceived quality of life for our residents.

2. The World Council on City Data (WCCD) is a network of cities committed to improving services and quality of life with open city data and standardised urban indicators. The WCCD developed and oversees an international standard for city data: ISO 37120 Sustainable Development of Communities: Indicators for City Services and Quality of Life. The City of Melbourne is a member of this network and annually submits indicators for verification in accordance with this standard.

Related datasets:
Social Indicators for City of Melbourne Residents 2018

Tree canopy within City of Melbourne mapped using 2018 aerial photos. The canopy polygons represent actual tree canopy extents on both private and public property across the city.

This dataset contains observed bike counts from sites across the city known as "Super Sunday". This is Australia’s biggest survey of recreational travel. Held annually in mid-November, the count looks at how runners, walkers, bike riders and other recreational users move around

There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

Tree canopy within City of Melbourne mapped using 2018 aerial photos and LiDAR. The canopy polygons represent actual tree canopy extents on public property (land managed by the City of Melbourne) across the city. The data is considered accurate for 2018. Changes in tree canopy are expected to have occurred since that time.

Tree canopy cover is mapped by the City of Melbourne annually.

This dataset contains active and planned activities across the City of Melbourne area. Activities include city works (such as proposed road closures, footpath works or reserved parking permits) and event bookings. The information is derived from permits which are issued by City of Melbourne.

Each activity includes geo-spatial information to indicate the general area of the activity. The spatial information is not indicative of the activity size as the activity may only take up a small portion of the area for the entry.

The start and end date fields indicate that the event/activity is expected to occur within this time range. The actual activity may be active for significantly shorter duration than the start and end dates.

Additional column value information can be found in the attachment (.xlsx) below.

This dataset contains observed bike counts from sites across the city. These counts are often referred to "Super Tuesday" and is Australia’s biggest annual commuter bike count. The count also contains information for gender, and movement flow of people on bikes.

There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

This dataset contains survey data for bird species across various river and wetland locations in the City of Melbourne. Bird transect surveys were conducted by Ecology Australia at the following locations: Dynon Road, West Melbourne, Wildlife Sanctuary (1), Dynon Road, West Melbourne, Tidal Drain (2), Moonee Ponds Creek lower catchment near Racecourse Road, Kensington and Dynon Road, West Melbourne (3), Maribyrnong River near Newells Paddock and Dynon Road, West Melbourne (4), Royal Park Oak Street Wetland (5), and Stony Creek Backwash, Footscray (6). Surveys were undertaken during daylight hours and were repeated on various dates throughout February and March 2018. Bird surveys were conducted by completing transects along the waterbodies and identifying bird species and numbers. These surveys were undertaken to primarily track bird species richness at Site (1) with Site (3) existing as a reference site with comparable habitat characteristics.

This bird survey dataset includes the bird’s common name, scientific name, the corresponding Victorian Biodiversity Atlas Code, the date the survey was conducted, and the location of the survey (including the latitude and longitude). The Victorian Biodiversity Atlas (VBA) is managed by the Department of Environment, Land, Water and Planning (DELWP) and provides a list of species observations in Victoria. Each species has an identification ‘code’ number.

Please get in contact with the Urban Forest and Ecology Team (nature@melbourne.vic.gov.au) if you wish to view the full report by Ecology Australia or if you have any questions about the dataset.

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2020. It shows floor space (in square meters) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) and small area allocation.

The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.

This data set has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row and column totals refer to the true total, including those suppressed cells.

Non-confidentialised data may be made available subject to a data supply agreement. For more information contact clue@melbourne.vic.gov.au

For CLUE block spatial files see https://data.melbourne.vic.gov.au/Economy/Census-of-Land-Use-and-Employment-Blocks/aia8-ryiq

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

For more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2020. It shows floor space (in square meters) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation.

The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.

This data set has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row and column totals refer to the true total, including those suppressed cells.

Non-confidentialised data may be made available subject to a data supply agreement. For more information contact clue@melbourne.vic.gov.au

For CLUE block spatial files see https://data.melbourne.vic.gov.au/Economy/Census-of-Land-Use-and-Employment-Blocks/aia8-ryiq

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

For more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0

Current issue 23/09/2020
Please note: Sensors 67, 68 and 69 are showing duplicate records. We are currently working on a fix to resolve this.

This dataset contains minute by minute directional pedestrian counts for the last hour from pedestrian sensor devices located across the city. The data is updated every 15 minutes and can be used to determine variations in pedestrian activity throughout the day.

The sensor_id column can be used to merge the data with the Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data.

Note this dataset may not contain a reading for every sensor for every minute as sensor devices only create a record when one or more pedestrians have passed underneath the sensor.

The Pedestrian Counting System helps us to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.

Related datasets:
Pedestrian Counting System – 2009 to Present (counts per hour).
Pedestrian Counting System - Sensor Locations