ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at Suburb level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.

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.

Secondary data are not available from ABS Agricultural and Population censuses for economic indicators and measures at a scale matching the NSW water sharing plan (WSP) regions. NSW DPE – Water purchased customised data for all WSP regions from 2006, 2011, 2016 and 2021 ABS censuses.

The dataset contains following anonymised census data for each of the WSP regions:

• Agricultural commodity data for 2006, 2011, 2016, and 2021
• Water use data for 2011, 2016 and 2021
• Gross value of irrigated agricultural production data for 2016 and 2021
• Employment by industry and occupation for 2006, 2011, 2016 and 2021
• Population by age distribution for 2006, 2011, 2016 and 2021
• Aboriginal population, families, dwellings for 2006, 2011, 2016 and 2021
• Average weekly earnings, full time, part time for 2006, 2011, 2016 and 2021
• Interstate and regional migration (where possible) for 2006, 2011, 2016 and 2021
• Socio-Economic Indexes for Areas (SEIFA) including its component scores (subject to high standard errors depending on the size of the custom region) for 2006, 2011 and 2016

Note: File Notes on ABS data by NSW water sharing plan regions.docx provides a comprehensive overview of the data's limitations that must be taken into consideration when using it..

The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas.

These 50 koala populations have been prioritised in 2 intervention categories:

• populations for immediate investment
• populations with key knowledge gaps.

The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats.

These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats.

Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years.

Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more.

Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document).

For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health.

Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified.

It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat.

In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions.

The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions.

Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project

Transport for NSW provides projections of employment at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025.\r \r TZP24 replaces the previously published TZP22.\r \r The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions .\r \r TZP24 Employment Projections are for employed persons by place of work. They are provided by Industry using two breakdowns:\r \r *\t33 industry categories (equivalent to the ABS 1-digit Australia and New Zealand Standard Industrial Classification (ANZSIC) codes with the exception of Manufacturing which is at 2-digit level).\r \r *\t4 Broad Industry Categories (groupings of the above).\r \r 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.\r \r 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.\r \r Key Data Inputs used:\r \r *\tTZP24 Workforce Projections\r \r *\tCensus 2021 Place of Work by Destination Zone - ABS\r \r *\tNSW Intergenerational Report - NSW Treasury\r \r *\tSA4 Employment by industry projections - Victoria University\r \r *\tFuture Employment Development Database (FEDD) - a custom dataset compiled by TfNSW between August 2023 and February 2024, that presents the number of jobs expected from major projects based on publicly available documents.\r \r For a summary of the TZP24 Projections method please refer to the TZP24 Factsheet .\r \r For more detail on the projection process please refer to the TZP24 Technical Guide .\r \r Additional land use information for population and workforce as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub.\r \r Visualisations of the employment projections are available on the Transport for NSW Website .\r \r Cautions\r \r The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions for population and employment projections.\r \r 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.\r \r *\tTZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns.\r \r *\tThe TZP24 outputs represent a point in time set of projections (as at early -2024).\r \r *\tThe projections are not government targets.\r \r *\tTravel 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.\r \r *\tAs a general rule, TZ-level projections are illustrative of a possible future only.\r \r *\tMore 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.\r \r *\tCaution 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.\r \r Further cautions and notes can be found in the TZP24 Technical Guide.

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.

The NSW Koala Strategy identifies 50 koala populations in New South Wales based on the Areas of Regional Koala Significance (ARKS) identified by the NSW Government (DPIE 2020), noting that koalas are also found outside these areas.\r \r These 50 koala populations have been prioritised in 2 intervention categories:\r \r * populations for immediate investment\r * populations with key knowledge gaps.\r \r The nineteen populations for immediate investment are relatively large koala populations supported by good levels of knowledge but subject to significant threats.\r \r These populations have been prioritised for investment because we have a good understanding of their size and distribution, habitat values and the nature and intensity of threats.\r \r Through targeted investment and management, we can reduce the threats to these koala populations. Expert assessment of a range of criteria determined whether a population area would be prioritised for investment over the next five years.\r \r Many of the nineteen populations are likely to support a minimum of 1000 koalas, and in some cases, they likely support many more.\r \r Populations for immediate investment in most cases exactly match existing ARKS. In a few cases, the name of the ARKS has been amended for clarity, and the boundary of several ARKS has also been amended (see Table 1 in MS Word document).\r \r For the remaining 31 koala populations, we will address knowledge gaps through a baseline survey program to assess their population status, genetics, and health.\r \r Some information is known about these koala populations already, however, in many places there are gaps in our knowledge. Interventions to reduce threats, improve habitat and support population viability will be carried out once the status of koalas is known and key threats identified.\r \r It is likely that all koala populations will benefit from local, community- based actions, improved local planning processes and targeted research on the status of koalas and the distribution of habitat.\r \r In addition to the initial surveys, for some populations we will use ongoing monitoring to track population trends and measure the effectiveness of interventions.\r \r The intervention category of koala populations may change over time. Populations can move between categories as knowledge is improved, or populations are made more secure through strategic interventions.\r \r _Reference: DPIE 2020, Framework for the spatial prioritisation of koala conservation actions in NSW: Saving our Species Iconic Koala Project _

Travel Zones (TZs) are the spatial unit of geography for Transport for NSW (TfNSW). The TZ spatial layer is applied to data sources used by TfNSW for transport modelling and analysis, including the Travel Zone Projections and key transport models such as the Strategic Travel Model (STM). \r \r The Australian Statistical Geography Standard (ASGS) Edition 3 boundaries provided by the Australian Bureau of Statistics (ABS) form the foundation of the Travel Zone geography. Generally, a TZ is an aggregation of whole ABS Mesh Blocks. The ASGS are based on population counts, whereas TZ boundaries are defined using population, employment, housing and transport infrastructure, with consideration for planned future changes in land use. Some of the State’s greenfield growth areas have deviated from using whole Mesh Blocks. Instead, Department of Planning, Housing and Infrastructure (DPHI) growth area precincts have been used to create more functional TZs in those areas (for example, the Aerotropolis).\r \r TZs are designed to have standardised trip generation levels across all zones. This causes zones to be different sizes across NSW. As with many other spatial boundaries, TZs tend to be small in areas with high land-use densities and larger in areas of lower density.\r \r As areas and transport infrastructure change over time, TfNSW creates new Travel Zone geography in line with each ABS Census of Population and Housing, the latest being 2021.\r \r Below you can download spatial files of the Travel Zone 2021 (TZ21) geography, the TZ21 fact sheet, as well as concordance tables for various geographies to TZ21 and vice versa.

Urban Centres and Localities (UCLs) represent areas of concentrated urban development. These areas of urban development are primarily identified using dwelling and population density criteria and data from the 2021 Census.

Please note, we recommend using the new Map Viewer in ArcGIS Online. There is an issue in Map Viewer Classic with the display of grid cell values. The clickable area of each cell is shifted to the northwest. This can result in neighbouring pixel values being displayed. The underlying data is correct, and the values display correctly in the new Map Viewer and in ArcGIS Pro. The Australian population grid 2022 is a modelled 1 km x 1 km grid representation of the estimated resident population (ERP) of Australia from 30 June 2022. The population grid is created by reaggregating estimated resident population data from Statistical Areas Level 1 (SA1) to a 1 km x 1 km grid across Australia based on point data representing residential address points. The value of each grid cell represents the estimated population density (number of people per square kilometre) within each 1 km x 1 km grid cell.

SA1 boundaries are defined by the Australian Statistical Geography Standard (ASGS) Edition 3 (2021) and the 1 km x 1 km grid is based on the National Nested Grid.

Data considerations Caution must be taken when using the population grid as it presents modelled data only; it is not an exact measure of population across Australia. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

Data and geography references Source data publication: Regional population, 2022 Additional data input: ABS Address Register Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3, National Nested Grid Further information: Regional population methodology Source: Australian Bureau of Statistics (ABS)

Australia Population Change: Net Interstate Migration: New South Wales data was reported at -5,669.000 Person in Sep 2024. This records an increase from the previous number of -7,713.000 Person for Jun 2024. Australia Population Change: Net Interstate Migration: New South Wales data is updated quarterly, averaging -4,187.500 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of -957.000 Person in Mar 2014 and a record low of -13,462.000 Person in Dec 2021. Australia Population Change: Net Interstate Migration: New South Wales data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G003: Population Change.

This report, which was prepared by the New South Wales Population Projections Group, contains the most recent population projections for the State and its regions, based on an assessment of current and past trends in fertility, mortality and migration. The projections result from an extensive analysis of the final 1981 census figures and a careful review of the assumptions upon which the projections are based.

(12/2526.4). 1 box (part).

Note:

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

Household Travel Survey (HTS) is the most comprehensive source of personal travel data for the Sydney Greater Metropolitan Area (GMA). This data explores average weekday travel patterns for residents in Sydney GMA.

The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area for the survey is the Sydney Greater Metropolitan Area (GMA) which includes Sydney Greater Capital City Statistical Area (GCCSA), parts of Illawarra and Hunter regions. All residents of occupied private dwellings within the Sydney GMA are considered within scope of the survey and are randomly selected to participate. The HTS has been running continuously since 1997/981 and collects data for all days through the year – including during school and public holidays.

Typically, approximately 2,000-3,000 households participate in the survey annually. Data is collected on all trips made over a 24-hour period by all members of the participating households.

Annual estimates from the HTS are usually produced on a rolling basis using multiple years of pooled data for each reporting year2. All estimates are weighted to the Australian Bureau of Statistics’ Estimated Resident Population, corresponding to the year of collection3. Unless otherwise stated, all reported estimates are for an average weekday.

Due to disruptions in data collection resulting from the lockdowns during the COVID-19 pandemic, post-COVID releases of HTS data are based on a lower sample size than previous HTS releases. To ensure integrity of the results and mitigate risk of sampling errors some post-COVID results have been reported differently to previous years. Please see below for more information on changes to HTS post-COVID (2020/21 onwards).

1. Data collection for the HTS was suspended during lock-down periods announced by the NSW Government due to COVID-19.

2. Exceptions apply to the estimates for 2020/21 which are based on a single year of sample as it was decided not to pool the sample with data collected pre-COVID-19.

3. HTS population estimates are also slightly lower than those reported in the ABS census as the survey excludes overseas visitors and those in non-private dwellings.

Changes to HTS post-COVID (2020/21 onwards)

HTS was suspended from late March 2020 to early October 2020 due to the impact and restrictions of COVID-19, and again from July 2021 to October 2021 following the Delta wave of COVID-19. Consequently, both the 2020/21 and 2021/22 releases are based on a reduced data collection period and smaller samples.

Due to the impact of changed travel behaviours resulting from COVID-19 breaking previous trends, HTS releases since 2020/21 have been separated from pre-COVID-19 samples when pooled. As a result, HTS 2020/21 was based on a single wave of data collection which limited the breadth of geography available for release. Subsequent releases are based on pooled post-COVID samples to expand the geographies included with reliable estimates.

Disruption to the data collection during, and post-COVID has led to some adjustments being made to the HTS estimates released post-COVID:

SA3 level data has not been released for 2020/21 and 2021/22 due to low sample collection. LGA level data for 2021/22 has been released for selected LGAs when robust Relative Standard Error (RSE) for total trips are achieved Mode categories for all geographies are aggregated differently to the pre-COVID categories Purpose categories for some geographies are aggregated differently across 2020/21 and 2021/22. A new data release – for six cities as defined by the Greater Sydney Commission - is included since 2021/22. Please refer to the Data Document for 2022/23 (PDF, 262.54 KB) for further details.

RELEASE NOTE

The latest release of HTS data is 15 May 2025. This release includes Region, LGA, SA3 and Six Cities data for 2023/24. Please see 2023/24 Data Document for details.

A revised dataset for LGAs and Six Cities for HTS 2022/23 data has also been included in this release on 15 May 2025. If you have downloaded HTS 2022/23 data by LGA and/or Six Cities from this link prior to 15/05/2025, we advise you replace it with the revised tables. If you have been supplied bespoke data tables for 2022/23 LGAs and/or Six Cities, please request updated tables.

Revisions to HTS data may be made on previously published data as new sample data is appended to improve reliability of results. Please check this page for release dates to ensure you are using the most current version or create a subscription (https://opendata.transport.nsw.gov.au/subscriptions) to be notified of revisions and future releases.

In 2021, there were approximately 319 thousand domestic students enrolled at universities in New South Wales in Australia. Victoria followed with over 277 thousand student enrollments that year.

The NSW Post-School Destinations and Experiences Survey (PSDES) collects information about the main destinations of recent school leavers in the 6 to 12 months after leaving school.\r \r

Data Notes\r

\r * The survey collected data on school leavers in the 6-12 months after leaving school in 2023, School leavers comprise students who completed Year 12 and students who left school while they were in Year 10, 11 or 12 (early school leavers).\r \r * There are some caveats and limitations in the generalisability of survey findings to the total population of recent school leavers in NSW. For example, students who completed Year 12 via an alternative pathway other than the HSC, such as the International Baccalaureate, are not counted as Year 12 completers and are not covered in the survey.\r \r * Prior to 2021 a stratified sampling approach was used for the mainstream Year 12 completer survey (excluding Aboriginal and/or Torres Strait Islander and non-Connected Community school leavers). The sampling strategy for this group changed to a census for the first time in 2021 and resulted in a marked increase in the overall proportion of responses collected from the target population.\r \r * Time series data of destinations by student type from 2014 to 2018 should be used with caution as some counts of school leavers are estimated from lower cell counts than in later years. Estimates in the data are based on base weights which are adjusted to matched population distributions for school leaver characteristics to minimise non-response bias.\r \r * Each table shows population estimates (as column totals) for each grouping variable and leaver type combination as well as weighted percentages for each of the 10 main destination categories included in the survey. Population estimates and destination percentage breakdowns are also included for all leavers (across leaver type). Findings are reported at a system level (across leavers from government and non-government schools).\r \r * For a full description of notes and caveats, see the 2023 Post-School Destinations and Experiences Survey Technical Report \r \r * See the 2023 Post-School Destinations and Experiences Survey, Annual Report and fact sheets \r \r

Data Source\r

NSW Post-School Destinations and Experiences Survey\r \r Available tables in this dataset:\r \r * Table 1 provides a breakdown of main destination by leaver type and survey year (2014 to 2023).\r * Table 2 provides a breakdown of main destination by leaver type and gender (as self-identified) for 2023 only.\r * Table 3 provides a breakdown of main destination by leaver type and Aboriginal status (as self-identified) for 2023 only.

At the 2021 Australian census, 278,043 people in New South Wales were Aboriginal or Torres Strait Islander. New South Wales is Australia’s most populated state, also housing Australia’s largest city, Sydney. By comparison, Australia’s second largest state, Victoria, was home to around 66 thousand Aboriginal and Torres Strait Islander people.

Aboriginal and Torres Strait Islander peoples

There are around 800,000 Aboriginal and Torres Strait Islander people in Australia, which represents just over three percent of the Australian population. Indigenous people are often referred to as Australia's first people or the traditional custodians of the land in recognition of their ancestors inhabiting Australia more than 60,000 years ago. Australia's Indigenous peoples are represented by two distinct groups. Aboriginal people come from the Australian mainland. Torres Strait Islander people inhabit the group of Islands between the northern tip of Queensland and Papua New Guinea and represent less than 40,000 people.

Closing the gap

Aboriginal and Torres Strait Islander peoples experience significantly poorer health and wellbeing outcomes when compared to their non-Indigenous Australian counterparts. The average life expectancy of Indigenous Australians is around eight years shorter than that of the non-Indigenous population. In education, Indigenous Australians are also underrepresented, but attendance rates are improving and in 2019, full-time Aboriginal and Torres Strait Islander students numbered well over 200,000 people.

In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old. A breakdown of Australia’s population growth Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
National distribution of the population Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.

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.

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.

As of November 25, 2022 the number of COVID-19 cases in the Australian state of Victoria was at 40,482 people per 100,000 of the population. Since mid-2021, uncontained outbreaks in NSW and Victoria caused the government to move away from its former 'Covid zero' approach.

The economic impact of lockdown measures

In March of 2020, one survey showed that over 70 percent of Australians expected the economic outlook in Australia to get worse in the next three months. For most industries this prediction was correct, with the worst hit industries being hospitality, tourism, and gyms and fitness. However, some businesses flourished under the shift in pandemic consumer behavior with food delivery services, homewares and online gambling showing significant increases in consumption.