This dataset is the Statistical Area Level 4 (SA4) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011.

For the original data and more information, refer to the Australian Bureau of Statistics' Issue.

The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.

The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

This dataset is the Statistical Area Level 4 (SA4) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016.

For the original data and more information, refer to the Australian Bureau of Statistics' Issue.

The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.

The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

This dataset presents data on land and environment available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2018 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of land and environment: Land Area, Protected Land Areas and Solar Installations.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

Provides a count of the number of unique and eligible employees within Austin Police Department (APD), Austin-Travis County Medical Services (ATCEMS), Austin Fire Department (AFD), Code Compliance, and Municipal Court who have taken mental/behavioral health training. This dataset supports measure S.A.4 of SD23. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/SA4-Mental-Behavioral-Health-Training/6mxm-hscu/

This dataset presents data on economy and industry available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 4 (SA4) 2016 boundaries. The dataset includes information in the following specified areas of economy and industry: Business Entries and Exists, Buildings Approvals, Residential Property Prices, Mean Household Net Worth, Patent and Trademark Applications, Insolvencies, Motor Vehicle Census, Tourist Accommodation Establishments, Agricultural Commodities, Gross Value of Agricultural Production and Industry of Employment.

Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.

For more information please visit the Explanatory Notes.

AURIN has made the following changes to the original data:

• Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA4 2016 dataset.

• Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

• Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

• Columns and rows that did not contain any values in the original data have been removed.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

This dataset presents the estimates of the internal migration statistics of Australia by Statistical Areas Level 4 (SA4) following the 2011 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2006-07 financial year up to the 2015-16 financial year.

Regional internal migration is the movement of people from one region to another within Australia (both interstate and intrastate). For example, it incorporates moves from a Statistical Area Level 4 (SA4) to any other SA4 within the country. Net regional internal migration is the net gain or loss of population through this movement.

The ABS has developed a new series of annual regional internal migration estimates (RIME) based on the 2011 edition of the Australian Statistical Geography Standard (ASGS). The Medicare and Defence data used for estimating interstate migration is now also used to estimate internal migration below the state/territory level. However, as Medicare and Defence change of address counts are supplied to the ABS by postcode a method was developed to convert these counts to SA4, the base spatial unit of the ASGS. The method used correspondences to convert to SA4, and adjustments were applied to account for known deficiencies in the Medicare and Defence data. A similar method was used to prepare RIME at the LGA level, based on 2011 boundaries.

This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3412.0) used with permission from the ABS.

For more information please visit the ABS Explanatory Notes.

Please note: RIME are not directly comparable with estimated resident populations (ERPs) because of the different methods and source data used to prepare each series. The combination of natural increase and net migration (internal and overseas) therefore may not correspond with change in ERP. AURIN has spatially enabled the original data.

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.

Labour force status by Labour market region (ASGS) and Sex, as described by the Australian Bureau of Statistics.https://www.abs.gov.au/statistics/labour/employment-and-unemployment/labour-force-australia-detailed/latest-release#labour-market-regions-sa4-

This dataset presents information about total income distribution. The data covers the financial year of 2011-2012, and is based on Statistical Area Level 4 (SA4) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Total Income is the sum of all reported income derived from Employee income, Own unincorporated business, Superannuation, Investments and Other income. Total income does not include the non-lodger population.

Government pensions, benefits or allowances are excluded from the Australian Bureau of Statistics (ABS) income data and do not appear in Other income or Total income. Pension recipients can fall below the income threshold that necessitates them lodging a tax return, or they may only receive tax free pensions or allowances. Hence they will be missing from the personal income tax data set. Recent estimates from the ABS Survey of Income and Housing (which records Government pensions and allowances) suggest that this component can account for between 9% to 11% of Total income.

All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the ABS to closely align to ABS definitions of income.

The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.

Please note:

• All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.

• To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.

• Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.

For further information please visit the Australian Bureau of Statistics.

AURIN has made the following changes to the original data:

• Spatially enabled the original data.

• Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.

State Penalties Enforcement Registry (SPER) debt by SA4 regions in Queensland

Supporting Resources

• Data Dictionary: SPER debt by SA4 regions in Queensland
• Explanatory Notes: SPER debt by SA4 regions in Queensland

SA4 based data for Number Of Children Ever Born by Age of Parent, for 2011 Census. Count of females aged 15 years and over on Census night based on place of usual residence. Data sourced from: http:/…Show full descriptionSA4 based data for Number Of Children Ever Born by Age of Parent, for 2011 Census. Count of females aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

SA4 based data for Ancestry by Country of Birth of Parents, in General Community Profile (GCP), 2016 Census. Count of responses and persons in the following categories with corresponding ancestry: …Show full descriptionSA4 based data for Ancestry by Country of Birth of Parents, in General Community Profile (GCP), 2016 Census. Count of responses and persons in the following categories with corresponding ancestry: both parents born overseas, father born overseas, mother born overseas, both parents born in Australia, parents birthplace not stated. The list of ancestries consists of the most common 30 Ancestry responses reported in the 2011 Census. This is a multi-response dataset and therefore the total responses count will not equal the total persons count. If two responses from one person are categorised in the 'Other' category only one response is counted. If either or both parents birthplace is not stated then a single response is tallied in the 'not stated' category. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: 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. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

SA4 based data for Number of Children Ever Born, in Place of Enumeration Profile (PEP), 2016 Census. Count of females aged 15 years and over (excludes overseas visitors), categorised by the number …Show full descriptionSA4 based data for Number of Children Ever Born, in Place of Enumeration Profile (PEP), 2016 Census. Count of females aged 15 years and over (excludes overseas visitors), categorised by the number of children they have given birth to. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: 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. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

SA4 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains …Show full descriptionSA4 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Females Mauritius Age 0-4 years' - 'Females United States of America Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: 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. For more information visit the data source: http://www.abs.gov.au/census. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

SA4 based data for Core Activity Need for Assistance by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. A person's need for help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long term health condition (lasting six months or more) or old age. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: 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. For more information visit the data source: http://www.abs.gov.au/census.

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2017. The data is aggregated to Statistical Areas Level 4 (SA4), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

This data is ABS data (catalogue number: 3235.0) available from the Australian Bureau of Statistics.

For more information please visit the Explanatory Notes.

• AURIN has spatially enabled the data.

• Regions which contain unpublished data have been left blank in the dataset.

This dataset presents aggregated values of Employee Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 4 (SA4) boundaries.

This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:

• Employee Income

• Own Unincorporated Business Income

• Investment Income

• Superannuation Income

• Other Income (Income not allocatable to any other categories)

• Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).

For more information on the release please visit the Australian Bureau of Statistics.

Please note:

• When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.

• To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.

• Where data is not available or not for publication, the record has been set to a null value.

SA4 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http:/…Show full descriptionSA4 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2011): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset contains National Regional Profile (NRP) data on Energy and Environment at SA4 level for 2010-2014. The data uses 2011 ABS ASGS boundaries. The NRP is designed for users interested in the socio-economic and environmental characteristics of regions - and in comparisons with similar geographies across Australia. Data are arranged under the broad themes/topics of Economy, Industry, People, and Energy and Environment. Please note some data are not available for all reference years, for a variety of reasons. For example; there may be conceptual breaks in a data series; the collection frequency may be irregular; some series may have revisions pending; or permission to publish in the NRP may have only been granted recently. In addition, some data series are not available for the full range of geographies. The reasons can include: data owner or custodian preferences; industry identification with a few, particular geographies only; confidentiality protection; and the presence of many suppressed data cells (at smaller geographic levels) thus making true aggregations up to larger ASGS regions difficult. This data is ABS data used with permission from the Australian Bureau of Statistics. Please note National Regional Profile (1379.0.55.001) has been discontinued. For the most recent regional data, please see Data By Region (1410.0). For more information please visit the Australian Bureau of Statistics.