This layer shows the population of each age group in 2020, categorized by the LGA boundary.Source: ABS https://www.abs.gov.au/statistics/people/population/regional-population-age-and-sexEPSG: 7855

Overseas Migration: Overseas migration is the leading contributor to population growth for both Albury and Wodonga. Internal Migration: Albury outpaces Wodonga in net internal migration, showing it is slightly more attractive to domestic movers. Natural Growth: Wodonga's population relies more heavily on natural growth compared to Albury, suggesting a relatively younger or more family-oriented demographic profile.

Key Attributes:

Population (2021): Total number of residents in each SA1, sourced from the ABS 2021 Census.

Population Density: Persons per square kilometre, based on land area.

Normalized Density Score: A 0–1 scale indicating relative density within Wodonga (0 = lowest density, 1 = highest density).

Usage: This layer is ideal for spatial analysis, urban planning, and infrastructure prioritization, allowing users to assess demographic concentration, compare development intensity across neighborhoods, and correlate population pressure with environmental or urban heat indicators.

Darker shades indicate areas with higher population density, while lighter shades represent more sparsely populated zones. This combination of labeling and color coding provides an intuitive and informative view of how Wodonga's population is distributed geographically.

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.

Population projection data for New South Wales to the year 2031. Data is provided at Local Government Area (LGA) level.

This layer shows the population of each age group in SA2 level in 2020.Albury-Wodonga region definition: All SA1 areas are within 100km range of Albury-Wodonga's centre of gravity point. Source: ABS https://www.abs.gov.au/statistics/people/population/regional-population-age-and-sexEPSG: 7855

Transport for NSW provides projections of population and dwellings at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025.

TZP24 replaces the previously published TZP22.

The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions.

The TZP24 Population & Dwellings Projections dataset covers the following variables:

• Estimated Resident Population

• Structural Private Dwellings (Regional NSW only)

• Population in Occupied Private Dwellings, by 5-year Age categories & by Sex

• Population in Non-Private Dwellings

The projections in this release, TZP24, are presented annually from 2021 to 2031 and 5-yearly from 2031 to 2066, and are in TZ21 geography.

Please note, TZP24 is based on best available data as at early 2024, and the projections incorporate results of the National Census conducted by the ABS in August 2021.

Key Data Inputs used in TZP24:

• 2024 NSW Population Projections – NSW Department of Planning, Housing & Infrastructure

• 2021 Census data - Australian Bureau of Statistics (including dwellings by occupancy, total dwellings by Mesh Block, household sizes, private dwellings by occupancy, population age and gender, persons by place of usual residence)

For a summary of the TZP24 projection method please refer to the TZP24 Factsheet.

For more detail on the projection process please refer to the TZP24 Technical Guide.

Additional land use information for workforce and employment as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub.

Visualisations of the population projections are available on the Transport for NSW Website under Data and research/Reference Information.

Cautions

The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions and population and employment projections.

The projections are not based on specific assumptions about future new transport infrastructure but do take into account known land-use developments underway or planned, and strategic plans.

• TZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns.

• The TZP24 outputs represent a point in time set of projections (as at early 2024).

• The projections are not government targets.

• Travel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results.

• As a general rule, TZ-level projections are illustrative of a possible future only.

• More specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub.

• Caution is advised when comparing TZP24 with the previous set of projections (TZP22) due to addition of new data sources for the most recent years, and adjustments to methodology.

Further cautions and notes can be found in the TZP24 Technical Guide

Important note:

The Department of Planning, Housing & Infrastructure (DPHI) published the 2024 NSW Population Projections in November 2024. As per DPHI’s published projections, the following variables are excluded from the published TZP24 Population and Dwellings Projections:

• Structural Private Dwellings for Travel Zones in 43 councils across Greater Sydney, Illawarra-Shoalhaven, Central Coast, Lower Hunter and Greater Newcastle

• Occupied Private Dwellings for Travel Zones in NSW.

Furthermore, in TZP24, the Structural Private Dwellings variable aligns with the 2024 Implied Dwelling projections while the Occupied Private Dwellings variable aligns with the 2024 Households projections at SA2 level prepared by DPHI.

The above variables are available upon request by contacting model.selection@transport.nsw.gov.au - Attention Place Forecasting.

Data source: ABSEPSG: 7855Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing.SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER).Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage.SEIFA indexes1.Index of Relative Socio-economic Advantage / Disadvantage (IRSAD)A composite index where lower scores indicate more disadvantaged areas and higher scores indicate more advantaged areas.This index is constructed using a number of different variables that indicate both advantage (e.g., high income, having a degree qualification) and disadvantage (e.g., unemployment status, low income, number of bedrooms)2.Index of Relative Socio-economic Disadvantage (IRSD)Identifies areas with lower educational attainment, people in low-skilled occupations, low employment and other indicators of disadvantage.This index ranks areas from most disadvantaged to least disadvantaged3.Index of Economic Resources (IER)Includes variables such as rent paid, household income and mortgage payments4.Index of Education and Occupation (IEO)Includes education and occupation variablesSource: SEIFA

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.

This map is based on information from the 1966 census, and shows distribution and numbers of population in N.S.W. and the A.C.T. The map was printed by the Commonwealth Government Printer.

The scale is approx. 30 miles = 1 inch.


(SR Map No.52714). 1 map.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

As of December 2023, the proportion of the Australian population that lived in New South Wales amounted to 31.3 percent. The Northern Territory had the least number of residents in the country, with less than one percent of the population residing there.

As of June 2023, there were approximately 8.33 million residents in the New South Wales region in Australia. In comparison, there were around 252 thousand residents in the Northern Territory region.

Urban Centres and Localities (UCL)

Urban Centres and Localities (UCLs) represent areas of concentrated urban development with populations of 200 people or more. These areas of urban development are primarily identified using dwelling and population density criteria using data from the 2021 Census. UCLs are not an official definition of towns.

UCLs can cross state or territory boundaries, however in these cases they are split into two parts so that data can still be aggregated to the state and territory level. For example, the UCL of Albury - Wodonga consists of Albury – Wodonga (Albury Part) and Albury – Wodonga (Wodonga Part).

Areas in a state or territory that are not included in an UCL are considered to be ‘rural’ and combined into the category: ‘Remainder of State/Territory’.

Using UCLs with Census data

UCLs are designed for the analysis of statistical data, particularly from the Census. The 200 minimum population size allows users to access cross classified Census data for these areas without the resulting counts becoming too small for use.

​

Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

Data downloads of the following themes (catalogue number 4106.1):

• Prevention and early intervention

• The Workforce

• Participation in Society

• Care and Support

In 2018, approximately 518,000 people were employed in the health care and social assistance industry in New South Wales in Australia, which was also the leading industry in New South Wales for employment. In that same year over 300,000 people were working in the education and training industry in New South Wales. The majority of those employed in 2018 lived in Sydney, the capital of NSW.

This map shows population and land use in Sydney and the County of Cumberland. It was prepared by the Department of Main Roads.

The scale is 1 mile = 1 inch. The map is in two parts.


(SR Map Nos.52693-94). 2 sheets.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

The following table, produced by the NSW Bureau of Crime Statistics and Research (BOCSAR) provides information on rates, trends and patterns in domestic violence incidents reported to, or detected by, the NSW Police Force for the period of 2017/18. The data has been aggregated to location following the 2018 Australian Statistical Geography Standard (ASGS) edition of the Local Government Areas (LGAs). Domestic violence is a serious problem which impacts many NSW families. In 2012, an estimated 16.9 per cent of Australian women aged 18 years and over had experienced partner violence since the age of 15 years (ABS Personal Safety Survey 2012). Rate calculations should also be treated very cautiously for LGAs that have high visitor numbers relative to their residential population. This is because rate calculations are based on estimated residential population and no adjustment has been made for the number of people visiting each LGA per year. For the rate calculations, specialised population data were prepared and provided to BOCSAR by the Australian Bureau of Statistics (ABS). For more information please visit the BOSCAR Portal. Please note: AURIN has spatially enabled the original data. LGAs which have populations less than 3000 has been suppressed to maintain confidentiality. Original data values of "n.c." have been set to null.

A dataset containing sales trends in CSV format for Mudgee as at March-2025, based on sales data sourced from the NSW Valuer General, geocoded and analyzed by AreaSearch.

No notes provided