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Forecasts of Geelong's population growth for the next 50 years. The data shows a breakdown of both resident and private dwelling information and breaks this down by suburb.
Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.
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Towns in Time is a compilation of time series data for Victoria's towns covering the years 1981 to 2011. The data is based on Census data collected by the Australian Bureau of Statistics. Towns in Time presents 2011 data for the 2011 definition of each town, together with data under the 2006 definition for 2006 and earlier years. A map showing the difference in the town's boundaries between 2006 and 2011 is attached to each data sheet. It is recommended the user assess this concordance when using time series data.
The Geelong Preventative Health Survey (GPHS) is conducted every four years to help us better understand the health status of the Greater Geelong population.This datasets contains results for 2017, 2021 and 2024 surveys. More information and visualisations of the data be found in the GPHS dashboard.
This summary shows the results of the forecasts for population, households and dwellings in the City of Greater Geelong. The period 2020, 2030 and 2040, as the short to medium term, is likely to be the most accurate and useful forecast information for immediate planning purposes.
It is important to look at the relationship between population and average household size. If the average household size is falling, then there will need to be growth in the number of households (and dwellings for them to live in) to maintain or grow the population.
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The Local Government Area profiles are produced annually, from data provided by a range of sources. The profiles currently include around 130 indicators relating to population, socio-demographics, …Show full descriptionThe Local Government Area profiles are produced annually, from data provided by a range of sources. The profiles currently include around 130 indicators relating to population, socio-demographics, health status and health utilisation. Each indicator is provided as a rate for the LGA, and a ranking of the LGA against all 79 LGAs for that indicator. The LGA profiles also include definitions for each data item, with a description, data source and currency.
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The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.
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The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and …Show full descriptionThe 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.
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The Built Environment Inventory data show the accessibility of lifestyle amenities and potential health pitfalls.
They are the result of a research project initiated by Healthy Together Geelong. The data was calculated using a sophisticated, proprietary method by Community Indicators Victoria, McCaughey Centre: VicHealth Centre for the Promotion of Mental Health and Community Wellbeing, Melbourne School of Population Health, University of Melbourne in May 2014.
Distances to many dozens of features as disparate as greengrocers, bus stops, tobacco sellers, and rail trails were calculated from meshblocks of mostly residential populations. These measures were then aggregated and grouped at the neighbourhood level. The table Geelong_BuiltEnvLookup.csv describes the variables and their meanings; these variables make up the GIS file and are also in Geelong_BuiltEnv.csv. In all there are 95 measures recorded for each suburb.
Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong or by the University of Melbourne in their use.
The land use dataset was categorised into six different land uses: retail, commercial, health/community, recreation, residential, and other. These categorisations were made on the basis of data supplied by the City of Greater Geelong and VicMap Planning Zones 2013. Land use mix was calculated using an entropy formula. The resulting land use mix measure is a value between 0 and 1, where 0 indicates homogenous land use (i.e. the entire suburb is the same land use) and 1 indicates heterogeneous land use (i.e. there are equal areas of each of the different types of land use of interest).
Distances to sites were calculated along street centrelines. Site information was supplied by the City of Greater Geelong.
Note that densities are often not spatial densities (eg. number per hectare) but, rather, represent number of sites per population measure or per kilometre of roads.
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The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.
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Census employment and income data for persons working in creative industries and creative occupations.
This dataset consists of 14 individual datasets that underpin the interactive dashboards on the project's Data Tables webpage.
Project background:
Australian cultural and creative activity: A population and hotspot analysis is an Australian Research Council Linkage project (LP160101724) being undertaken by QUT and the University of Newcastle, in partnership with Arts Queensland, Create NSW, Creative Victoria, Arts South Australia and the Western Australian Department of Local Government, Sport and Cultural Industries.
This comprehensive project aims to grasp the contemporary dynamics of cultural and creative activity in Australia. It brings together population-level and comparative quantitative and qualitative analyses of local cultural and creative activity. The project will paint a complete national picture, while also exploring the factors that are producing local and regional creative hotspots.
Creative hotspots for study were selected in consultation with state research partners:
Queensland – Cairns, Sunshine Coast + Noosa, Gold Coast, Central West Queensland
New South Wales – Coffs Harbour, Marrickville, Wollongong, Albury
Victoria – Geelong + Surf Coast, Ballarat, Bendigo, Wodonga
Western Australia – Geraldton, Fremantle, Busselton, Albany + Denmark
South Australia – to be confirmed shortly
Statistical summaries drawn from a diverse range of data sources including the Australian Census, the Australian Business Register, IP Australia registration data, infrastructure availability lists and creative grants and rights payments as well as our fieldwork, inform hotspot reports.
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Summary of the socio-demographical data of the respondents.
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Logistic regression results showing odds ratios (OR) and their 95% confidence intervals (CI) predicting support to desalination.
This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from the Australian research institution,Geelong Hospital.The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Forecasts of Geelong's population growth for the next 50 years. The data shows a breakdown of both resident and private dwelling information and breaks this down by suburb.
Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Greater Geelong in their use.