These maps show the proposed development of some New South Wales country areas from 1968 to 2000. They show future land use; population employment; development of the central business district (Wagga); transportation; drainage and flood control measures; water and sewerage. Although the maps for Grafton are undated, they are assumed to be part of this series.

A full listing is available.


(SR Map Nos.33912-81). 70 maps.

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

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.

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.

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.

To test the yield response of new varieties and advanced lines of field pea to changes in plant populations across the different field pea growing regions of NSW

To test the yield response of six faba bean varieties across 4 different sowing times and two targeted plant populations in southern NSW.

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.

ABS Census data extract - G13 LANGUAGE USED AT HOME BY PROFICIENCY IN SPOKEN ENGLISH providing a breakdown of population at LGA level and by:speaks English onlyother language(a)not stated(b)other Chinese languages(c)other Indo-Aryan languages(d)other Southeast Asian Austronesian languages(e)other(f)This data is based on place of usual residence.(a) This list of languages consists of the most common Language used at home responses reported in the 2016 Census and 2011 Census. (b) Includes the categories 'Proficiency in English not stated' and 'Language and proficiency in English not stated'.(c) Comprises 'Chinese, nfd', 'Hakka', 'Wu', 'Min Nan' and 'Chinese, nec'.(d) Comprises' Indo-Aryan, nfd', 'Konkani', 'Marathi', 'Sindhi', 'Assamese', 'Dhivehi', 'Kashmiri', 'Oriya', 'Fijian Hindustani' and 'Indo-Aryan, nec'.(e) Comprises 'Bikol', 'Bisaya', 'Cebuano', 'Ilokano', 'Ilonggo (Hiligaynon)', 'Pampangan', 'Malay', 'Tetum', 'Timorese', 'Acehnese', 'Balinese', 'Iban', 'Javanese', 'Southeast Asian Austronesian Languages, nec' and 'Southeast Asian Austronesian Languages, nfd'.(f) Includes languages not identified individually, 'Inadequately described' and 'Non-verbal, so described'.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.

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.

No notes provided

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.\r \r 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.\r The HTS has been running continuously since 1997/981 and collects data for all days through the year – including during school and public holidays.\r \r 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.\r \r 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.\r \r \r \r 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).\r \r 1. Data collection for the HTS was suspended during lock-down periods announced by the NSW Government due to COVID-19.\r \r 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. \r \r 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.\r \r Changes to HTS post-COVID (2020/21 onwards)\r \r 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.\r \r 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.\r \r Disruption to the data collection during, and post-COVID has led to some adjustments being made to the HTS estimates released post-COVID:\r \r SA3 level data has not been released for 2020/21 and 2021/22 due to low sample collection.\r LGA level data for 2021/22 has been released for selected LGAs when robust Relative Standard Error (RSE) for total trips are achieved\r Mode categories for all geographies are aggregated differently to the pre-COVID categories\r Purpose categories for some geographies are aggregated differently across 2020/21 and 2021/22.\r A new data release – for six cities as defined by the Greater Sydney Commission - is included since 2021/22.\r Please refer to the Data Document for 2022/23 (PDF, 262.54 KB) for further details.\r \r \r RELEASE NOTE\r \r 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.\r \r 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.\r \r 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.\r

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.

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

Proportion of NSW population over age of 16 that; smoke, engage in risk drinking, are considered overweight or obese.

Transport Performance and Analytics (TPA) has a range of location information products which include digitised boundaries. Travel Zones (TZs) are the geographic units of TPA’s data collection, transport modelling and analysis. They are designed to align as much as possible with current Australian Bureau of Statistics (ABS) geographic classification for that year, to allow for comparison of different data sources at standard geographies.

In order to provide for a similar level of trip generation across zones, TZs are designed to be small in areas with high land use densities and larger in areas of lower density. The key land uses of interest in defining TZs are employment, housing and transport infrastructure.

As urban areas change over time, TPA creates a new zoning system in line with each 5-yearly population Census. Digitised boundaries for these zoning systems and equivalences between them, are available to users to undertake spatial analysis.

1991-2006 - Australian Standard Geographical Classification (ASGC), with Statistical Local Areas (SLA), Census Collection District (CCD) and Mesh Blocks (MB). Prior to 2006, TZs aligned to Statistical Local Areas (SLA)

Note that GMA may change slightly at the boundary to align with ABS geographic classifications. This will not usually impact on the comparison of data over time.

The Wagga Wagga Local Government Area (LGA) is located in the southern inland area of NSW. The study area is surrounded by seven other LGAs, namely Coolamon and Junee to the north, Gundagai and Tumut to the east, Greater Hume and Lockhart to the south and Narrandera to the west. The Wagga Wagga LGA covers an area of approximately 4,886 km2. The Murrumbidgee River traverses the floodplain from east to west and is a major tributary to the Murray System draining some 100,000 km2. The catchment area of the Murrumbidgee River at Wagga Wagga is approximately 26,400 km2. The majority of the floodplain is used for agricultural purposes. Most of the urban and industrial development is located in Central and North Wagga. Other industrial areas are located in the southern floodplain and east of Wagga Wagga along the Sturt Highway. Recent population growth has been mainly centred in the southern and elevated areas of Wagga Wagga. Other significant residential centres comprise Kooringal and Lake Albert. Council engaged WMAwater to develop a suitable 2D model, calibrated to the 1974 event, with the ultimate purpose of defining the 1% AEP flood extents and levels for Murrumbidgee River flooding over the entire LGA. Note that where design results overlap previous models results, particularly from the 2010 study, Council will need to be consulted as to which design flood information is to be used.

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).

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).

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.

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.

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.