ABS Statistics about the population, density and components of change (births, deaths, migration) for Australia's capital cities and regions.This dataset is based on ABS Population estimates and components by LGA Excel files as data sources.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

ABS 2011 census data presented spatially in an ESRI files geodatabase. Derived from Tabular ABS 2011 Census data for NSW joined with Meshblocks for NSW downloaded from the ABS website.

As well as published "Persons" and "Dwellings" data an additional field "Persons_km2" was derived from the persons count and spatial area of the associated Mesh Block (see Lineage).

Dataset History

2011 base level Census data for NSW was downloaded from the ABS website along with the spatial boundaries pertaining to the tabular data (NSW Mesh block shpaefiles).

Census data was joined to the Mesh block polygons based on the Mesh block ID and the combined attributes exported to a file geodatabase feature class. A field was added "Persons_km2) and a popultaion density for each mesh block polygon area was derived by dividing the "persons" in that mesh block by the polygon area (based on Aust Albers projection) factored to calculate persons per square km.

Dataset Citation

Australian Bureau of Statistics (2014) NSW 2011 Census Population Counts and Density (Spatial). Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/90662127-a559-493b-9d65-df44270aeb0a.

ABS Statistics about the population, density and components of change (births, deaths, migration) for Cumberland LGA.This dataset is based on ABS Population estimates and components by LGA Excel files as data sources.

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.

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.

This is a dataset comprising the outputs and metadata for quantifying groundwater recharge in the NSW coalfields (Sydney, Gunnedah and Gloucester basins) and a wider area of study (Sydney basins, Great Artesian Basin groundwater system.)

In addition to the outputs contained in this dataset, machine learning scripts relevant to upscaling methods have been included. A sub-directory is also included containing relevant metadata records for source data used in the projects.

The data was produced to fulfil one internal project (EP 2022-2355, Interchange) and two external projects (EP 2022-1381, ACARP; EP 2022-1715, Geoscience Australia)

Interchange - CSIRO Report EP 2022-2355: The work synthesises the outcomes of three projects. The Australian Coal Association project C33037 predominantly covered the Sydney, Gunnedah and Gloucester basins, and is the subject of CSIRO report EP2022-1381 (A. Wilkins et al., 2022). The Geoscience Australia project predominantly covered the Great Artesian Basin (GAB), particularly the intake beds, and is the subject of CSIRO report EP2022-1715 (R. S. Crosbie et al., 2022). CSIRO’s Interchange project funded the remainder of the work, including creating a consistent, novel methodology and tying together results from the other two projects (see below.)

ACARP - CSIRO Report EP2022-1381 This report presents the results of the research work carried out under the Australian Coal Association Research Program (ACARP) project C33037 entitled “Quantifying recharge to groundwater systems in the NSW and Bowen Basin coalfields”. At the project kick-off meeting, it was decided by the monitors and researchers to focus on the NSW coalfields only, so this report discusses results for the Sydney, Gunnedah and Gloucester basins only. The purpose of this project is to estimate the rate of diffuse recharge via rainfall to groundwater systems. The rate of recharge (usually measured in mm/year) is a key ingredient to mines’ environmental impact assessments.

Geoscience Australia - CSIRO Report EP2022-1715 This report presents the results of the research work performed under a Geoscience Australia – CSIRO collaboration to calculate diffuse rainfall recharge to the Great Artesian Basin (GAB) groundwater system, with particular focus on the intake beds. Lineage: 1) Characteristics of the study area: Assessment of various features of the study area, including: basin extent, water resources, hydrostratigraphic surface geology, regolith depth, proportion of soil types (sand, silt, clay), topography (MrVBF, elevation), average rainfall, potential and actual evapotranspiration, aridity index, population density, vegetation (NDVI, LAI, vegetation height.)

Many of these features are used to upscale point-scale estimates of recharge obtained in observation boreholes to grids over the whole study area.

2) Methodology: The methods used for this study is similar to the Bioregional Assessments (Russell S. Crosbie, Peeters, Herron, McVicar, & Herr, 2018) and Geological and Bioregional Assessment Projects (Russell S. Crosbie & Rachakonda, 2021) and included three steps:

a) Estimate recharge using CMB method b) Regression kriging and upscaling c) Evaluation and uncertainty

Data Notes:

• 'SA4 grouping’ and ‘remoteness’ describe areas within NSW. Both are ABS standard categories. SA4 group relates to a predefined geographical area, based on population and labour markets, whereas remoteness is based on density of population.

• From 2016 onwards, geographical data is reported by the ABS remoteness structure. The ABS remoteness structure uses 5 categories: Major Cities, Inner Regional, Outer Regional, Remote and Very Remote. Prior to 2016, MCEECDYA categories were used, which divided schools into four categories.

• Since 2014, the department has used a geographical structure based on the new ABS Australian Statistical Geography Standard (ASGS). Groups of ASGS Statistical Area 4 (SA4) boundaries in NSW have been combined into 11 groups for reporting and publication of department data. Previous publications compared enrolments in DEC regions. Further information on SA4 groups is available in the Statistical Bulletin Explanatory Notes.

Data Source:

• Schools and Students: Statistical Bulletin. Centre for Education Statistics and Evaluation.

Travel Zones (TZs) are the spatial unit of geography defined by Transport Performance and Analytics (TPA), a business unit within Transport for NSW (TfNSW). The TZ spatial layer is applied to data sources used by TfNSW for transport modelling and analysis, including the Household Travel Survey and the Census 2016 Journey to Work data.

The Australian Bureau of Statistics (ABS) Statistical Area boundaries form the foundation of the TZ. Generally, a TZ is larger than a Statistical Area Level 1 or Mesh Block, both ABS geography definitions. The ABS Statistical Areas are based on population counts whereas TZ boundaries are defined using population, employment, housing and transport infrastructure.

TZs are designed to have standardised trip generation levels across all zones. This causes zones to be different sizes across the metropolitan area. 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.

This dataset now includes a CSV file mapping the Transit Stop Number (TSN) to the Travel Zone (TZ16). It captures the stop name, suburb and coordinates.

Travel Zone Explorer is an interactive map where you can search for Travel Zones (TZ) and find out the current and future population in occupied private dwellings by age and sex.