AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - ASGS Non ABS Structures - Local Government Area (LGA) 2016

This dataset is the Local Government Area (LGA) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, 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.

Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AFSA - Regional Profile - Time Series Debtors and Insolvencies (GCCSA) Q3 2017 - Q2 2020

This dataset presents time-series data about debtors and insolvencies for each quarter from Q3 2017 to Q2 2020. The dataset is presented by 2016 Greater Capital City Statistical Area (GCCSA) boundaries following the Australian Statistical Geography Standard (ASGS).
The Australian Financial Security Authority (AFSA) publishes GCCSA and Statistical Area Level 3 (SA3) breakdowns of the number of debtors with business and non-business related personal insolvencies on a quarterly basis, using the Australian Bureau of Statistics (ABS) ASGS.
Explanatory notes can be found at AFSA Regional Statistics 


AURIN has spatially enabled the original data.


AFSA suppressed the data for regions with small numbers of individuals to protect the privacy and confidentiality of insolvent debtors. Whenever necessary to suppress data, cells are nulled. Generally, AFSA publishes data with three or more debtors.


Regional personal insolvency activity statistics are reported based on the number of debtors.


AURIN has added month and year columns for filtering purposes



Tags: Economic
Organization: Government of the Commonwealth of Australia - Australian Financial Security Authority
PHIDU - Prevalence of Selected Health Risk Factors - Adults (PHN) 2017-2018

This dataset, released January 2020, contains for the years 2017-2018 the Estimated number of people aged 18 years and over with high or very high psychological distress based on the Kessler 10 Scale; Estimated number of people aged 18 years and over who had high blood pressure, overweight and obesity; Smoking (modelled estimates); Alcohol: lifetime risky drinking (modelled estimates); Fruit consumption (modelled estimates); Exercise (modelled estimates). The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA2 Psychological Distress - Modelled Estimate 2011-2013

Estimated number of people aged 18 years and over with high or very high psychological distress by SA2, from 2011 to 2013. SA2 data for this indicator are derived from Population Health Area (PHA) data. PHAs are comprised of one or more whole SA2s. A full listing of SA2s and what percentage of their corresponding PHA has been allocated to them can be found at the following link: http://publichealth.gov.au/AURIN/phidu_PHA_to_SA2_concordance.xls

Tags: health, k10, kessler, psychological distress, well being
Organization: Torrens University Australia - Public Health Information Development Unit
Tourism Research Australia - Businesses (LGA) 2016

This dataset presents statistics about the businesses which are involved with tourism in specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2016 Australian Statistical Geography Standard (ASGS).
The data represents information about the number of businesses involved in tourism by the number of employees they have employed. The data was sourced for the year 2016.
Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate International Visitor Survey (IVS) and National Visitor Survey (NVS) sample to present robust results.
For more information please visit the Website of the TRA.
Please note: 


AURIN has spatially enabled the original data.


Where data values were, "np", not published or "-", not available, in the original data, they have been set to null.



Tags: australia, businesses, economy, industry, investment, market, opportunities, tourism
Organization: Tourism Research Australia
SA3-W15d Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

SA3 based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'Private sector $2000-$2999 Managers' - 'Not stated Total Total'. The data is by SA3 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. 

Tags: 2016, census, employer indicator, income, occupation, personal income, sector, w15d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Heat Vulnerability Index - City of Melbourne (SA1) 2021

Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for City of Melbourne.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs.
This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution.
The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI.  The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications.
Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.

Tags: built environment, heat vulnerability, human society, urban planning
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University
LGA-P33 Mortgage Repayment (Monthly) by Dwelling Structure-Census 2016

LGA based data for Mortgage Repayment (Monthly) by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings being purchased. Mortgage repayments are derived from responses to a number of questions and records the amount of money spent monthly paying off a mortgage. Includes dwellings being purchased under a shared equity scheme. The data is by LGA 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.

Tags: 2016, census, dwelling structure, monthly payments, mortagage repayments, mortgage, p33, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SLA11 Medical Benefits Scheme (MBS) Services 2009-2010

Medical Benefits Scheme (MBS) services provided including: GP services, enhanced primary care services, health assessments, Better Access Progam services and Practice Nurse services by SLA (2011), from 2009 to 2010.

Tags: better access program, general practitioners, gp, health, health assessments, mbs services, primary care, psychiatrists, psychologists, well being
Organization: Torrens University Australia - Public Health Information Development Unit
GCCSA-W14 Occupation of Owner Managers by Number of Employees-Census 2016

GCCSA based data for Occupation of Owner Managers by Number of Employees, in Working Population Profile (WPP), 2016 Census. Count of owner managers of enterprises. The data is by GCCSA 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. 

Tags: 2016, census, employees, manager, number of employees, occupation, owner, w14, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U06 Age By Marital Status By Sex (LGA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Local Government Areas (LGA) in Australia. 
This table contains data relating to age by marital status and sex. Counts are of all persons aged 15 years or more, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: 1991, census, lga, marriage, population, residence, status, u06, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - Collection District Master File (CD) 1986

The 1986 Census Collection District Master File (CDMF) stores basic counts and associated geographic codes for every collection district (CD) in Australia, for tabulation, field control, processing control and general research purposes, and to facilitate linkage to previous Census data. The data is by CD 1986 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (original geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2102.0) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries are available from data.gov.au.
For more information please refer to the 1986 Census Dictionary.

Tags: 1986, c01, cdmf, census, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C29  Bedrooms per Household (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on bedrooms per household. Census counts were based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by Local Government Area 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1981, bedrooms, c29, census, household, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W22e Method of Travel to Work by Age by Sex-Census 2016

SA4 based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Persons Three methods Train and two other methods 15-24 years' - 'Persons Total Total'. 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. 

Tags: 2016, census, transport, travel method, w22e, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B45 Structure Of Dwelling - Private Dwellings (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to structure of all private dwellings. Counts are of all private dwellings, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au
For more information please refer to the 1991 Census Dictionary

Tags: 1991, b45, basic community profile, bcp, census, dwelling structure, occupied, place of enumeration, private houses
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G50a Non-School Qualification-Level of Education by Industry of Employment by Sex-Census 2016

SA2 based data for Non-School Qualification: Level of Education by Industry of Employment by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G50 is broken up into three sections (G50a-G50c) this section contains 'Males Agriculture forestry and fishing Postgraduate Degree Level' - 'Females Accommodation and food services Advanced Diploma and Diploma Level'. The data is by SA2 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.

Tags: 2016, census, education, employment, g50a, gcp, general community profile, industry, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Employment by ANZSIC Industries (Block) 2009

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2009.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.


Suppressed values ("-" in the original data) have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2009, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
Geoscience Australia - NEXIS - Commercial Building Exposure (LGA) 2016

This dataset presents information about commercial building exposure in Australia from the 7th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia.
This data is aggregated by the Australian Bureau of Statistics (ABS) Local Government Area (LGA) 2015 boundaries.
For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document.
AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2015 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
SA1-G42 Place of Usual Residence 5 Years Ago by Sex-Census 2016

SA1 based data for Place of Usual Residence 5 Years Ago by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 5 years and over. The data is by SA1 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.

Tags: 2016, 5 years ago, census, g42, gcp, general community profile, past residence, residence, sex, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (SA2) September 2015

This dataset presents counts of payment recipients by payment type for the quarter ending September 2015. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 19 have been suppressed and replaced with '&lt;20' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 20.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;20' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services