AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G11c Proficiency in Spoken Eng by Year of Arrival by Age-Census 2016

GCCSA based data for Proficiency in Spoken English by Year of Arrival in Australia by Age, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G11 is broken up into 4 sections (G11a - G11d), this section contains '55-64 years Speaks other language and speaks English Very well or well Arrived 2012' - '75-84 years Language and proficiency in English not stated Arrived 2013'. Excludes persons born in 'Australia, (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec' and persons who did not state a country of birth. 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, age, arrival year, census, english proficiency, g11c, gccsa, gcp, general community profile, overseas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-I15b Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

LGA based data for Non-School Qualification: Level of Education by Indigenous Status by Age by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of 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). I15 is broken up into 4 sections (I15a – I15d), this section contains 'Males Total 20-24 years Postgraduate Degree Graduate Diploma and Graduate Certificate Level' - 'Females Indigenous status not stated 20-24 years Total'. 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: age, education, indigenous status, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Ookla - Network Performance - Fixed (Polygon) Q2 2020

This data set provides fixed broadband network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy.
For more information please see the Ookla Github repository or the Registry of Open Data on AWS.
Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.
AURIN has generated a subset corresponding to the intersection with the extent of the 2016 Greater Capital City Statistical Areas (GCCSA) boundaries from the ABS Australian Statistical Geography Standard (ASGS). It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).
Additional columns have been added corresponding to the matching boundaries of the 2016 ABS Statistical Area Levels 2, 3 and 4, and the 2020 Local Government Areas. These were spatially joined using the centroid of each polygon, and therefore, should only be used as an approximation. Furthermore, grid cells residing outside of these boundaries, such as offshore or over rivers, are assigned a null value in these columns.

Organization: Ookla
Geoscience Australia - NEXIS - Commercial Building Exposure (LGA) 2020

This dataset presents information about commercial building exposure in Australia from the 11th 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) 2020 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 2020 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
PHIDU - Age Distribution - 5 Year Age Groups: Persons (PHA) 2017

This dataset, released November 2018, contains the total estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2017. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia.
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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-G54b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with No Children-Census 2016

SA3 based data for Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families With No Children, in General Community Profile (GCP), 2016 Census. Count of couple families with no children. 'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night or who did not state their number of hours worked. G54 is broken up into two sections (G54a-G54b) this section contains '$4000 or more One away from work other not working' - '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, couple family, family, g54b, gcp, general community profile, income, labour force, no children, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Community Strengths (PHN) 2014-2016

This dataset, released July 2018, contains the community strength of areas based on Voluntary work for an organisation or group - people aged 15 years and over, 2016; Estimated number of people aged 18 years and over who did unpaid voluntary work in the last 12 months through an organisation (modelled estimates), 2014; Estimated number of people aged 18 years and over who are able to get support in times of crisis from people outside the household (modelled estimates), 2014; Estimated number of people aged 18 years and over (or their partner) who provide support to other relatives living outside the household (modelled estimates), 2014; Estimated number of people aged 18 years and over who disagree/strongly disagree with acceptance of other cultures (modelled estimates), 2014; Estimated number of people aged 18 years and over who, in the past 12 months, felt that they had experienced discrimination or have been treated unfairly by others (modelled estimates), 2014.
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: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS from the 2014 General Social Survey; estimates at the LGA and PHN level were derived from the PHA estimates; Estimates for Quintiles and Remoteness Areas were compiled by PHIDU based on direct estimates from the 2014 General Social Survey, ABS Survey TableBuilder.
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
SA3-based B08A Ancestry by Birthplace of Parents as at 2011-08-11

SA3 based data for Ancestry, for 2011 Census. Count of all persons and responses 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.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Chronic Kidney Disease (CKD) - Hospitalisations - Dialysis by Sex (PHA) 2012-2015

This dataset presents the statistics of hospitalisations for chronic kidney disease (CKD) with a principal diagnosis of dialysis distributed by sex for the years between 2012-2015. The data is and is aggregated to the 2011 Public Health Information Development Unit (PHIDU) Population Health Areas (PHA), based on the 2011 Australian Statistical Geography Standard (ASGS).
The CKD datasets were released by the Australian Institute of Health and Welfare (AIHW) to present data on prevalence, treatment (hospitalisations for CKD and dialysis) and deaths. It shows the distribution of the impact of CKD across Australia and visualises rates of CKD and the health and demographic profile for local areas.
The data was modelled by the AIHW from The National Hospital Morbidity Database (NHMD) which is compiled from data supplied by the state and territories. Hospitalisation counts are counts of admitted patient episodes of care not individual patients, and would include multiple hospitalisations experienced by the same individual if the individual had more than one hospitalisation for CKD in the given time period.
For further information about this dataset, please visit:


AIHW Geographical variation in chronic kidney disease data.


AIHW Geographical variation in chronic kidney disease report.


Please note:


AURIN has spatially enabled the original data using the PHIDU - PHAs.


Where data has not been published due to small numbers, "n.p." in the original data, the value has been set to null.


Where values have been identified to have a relative root mean square error (RRMSE), a new column has been added where "*" presents an RRMSE between 25% and 50%. This data should be used with caution.


These counts do not include home dialysis services received by patients and dialysis treatment completed in Emergency Department before their hospital admission.



Tags: AIHW, dialysis, disease, health, hospitalisation, kidney, mortality, pha, population, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA2-G47c Non-School Qualification-Field of Study by Age by Sex-Census 2016

SA2 based data for Non-School Qualification: Field of Study by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G47 is broken up into three sections (G47a-G47c) this section contains 'Persons Total Age 55-64 years' - 'Persons Total Total'. 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, age, census, education, g47c, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Advantage and Disadvantage (SA1) 2011

Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census. SEIFA 2011 is the latest version of this product and consists of four indexes. The Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) summarises information about the economic and social conditions of people and households within an area, including both relative advantage and disadvantage measures. Data last updated: 28th March 2013. Users of this data are advised to carefully read the accompanying information on the SEIFA web page and in the Technical Paper.
SEIFA Homepage
SEIFA Technical Paper
 For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: advantage, disadvantage, irsad, seifa, socio-economic
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NDIA - Number of NDIS Participants (SA3) Dec 2019 - 2021

This dataset presents the footprint of the number of active participants with an approved plan in the National Disability Insurance Scheme (NDIS). The data is current as at 31 Dec 2021, includes quarterly snapshots beginning from Dec 2019, and is aggregated to Statistical Area Level 3 (SA3) 2016.  The geographical boundaries are sourced from the Australian Bureau of Statistics (ABS) website.
The National Disability Insurance Agency (NDIA) is an independent statutory agency. Their role is to implement the NDIS, which will support a better life for hundreds of thousands of Australians with a significant and permanent disability and their families and carers.
For further information about this dataset, please visit the NDIA.
Please note:


The State/Territory groupings are based on the participant's latest residential address.


The availability status of each SA3 is based on the mapping between the SA3, NDIA Service Districts and the bilateral agreements to determine phase-in date for each SA3.


AURIN has spatialised the participant data.  Participant count values of '&lt;11' have been set to null.

Tags: HUMAN SOCIETY, Social program evaluation, Social work
Organization: National Disability Insurance Agency
PHIDU - Avoidable Mortality - Selected Causes (PHA) 2010-2014

This dataset, released December 2016, contains statistics relating to avoidable mortalities during the year 2010-2014 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases and external causes. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Filessupplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries ofBirths, Deaths and Marriages and the National Coronial Information System.
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
SA3-P21 Unpaid Assistance to a Person with a Disability by Age by Sex-Census 2016

SA3 based data for Unpaid Assistance to a Person with a Disability by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night spent time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition or problems related to old age. This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include work done through a voluntary organisation or group. 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, age, census, disability, p21, pep, place of enumeration profile, sex, unpaid assistance
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mental Health Services - Emergency Department Presentations (SA3) 2014-2018

This dataset presents the footprint of the number and rate of emergency department presentations in public hospitals by patient location. Mental health-related emergency department (ED) presentations are defined as presentations to public hospital EDs that have a principal diagnosis of mental and behavioural disorders. However, the definition does not fully capture all potential mental health-related presentations to EDs such as intentional self-harm, as intent can be difficult to identify in an ED environment and can also be difficult to code. The data spans the financial years of 2014-2018 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).
State and territory health authorities collect a core set of nationally comparable information on most public hospital ED presentations in their jurisdiction, which is compiled annually into the National Non-Admitted Patient Emergency Department Care Database (NNAPEDCD). The data reported for 2014–15 to 2017–18 is sourced from the NNAPEDCD. Information about mental health-related services provided in EDs prior to 2014–15 was supplied directly to the Australian Institute of Health and Welfare (AIHW) by states and territories.
Mental health services in Australia (MHSA) provides a picture of the national response of the health and welfare service system to the mental health care needs of Australians. MHSA is updated progressively throughout each year as data becomes available. The data accompanies the Mental Health Services - In Brief 2018 Web Report.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Mental health services in Australia Data Tables.
Please note:


AURIN has spatially enabled the original data.


Caution is required when conducting time-series analyses. The data source changed in 2014–15 from data provided by state and territory health authorities (2004–05 to 2013–14) to the NNAPEDCD. Additionally, due to the methodology applied for mapping the data over time, years prior to 2017–18 may be an undercount or data may not be displayed where SA3s have changed over time.


Mental health-related emergency department presentations included in this report are those that had a principal diagnosis that fell within the Mental and behavioural disorders chapter (Chapter 5) of ICD-10-AM (codes F00–F99) or the equivalent ICD-9-CM or SNOMED codes. It does not include codes for self-harm or poisoning.


From 2014–15 onwards, diagnosis information was not reported using a uniform classification. The mapping of SNOMED codes (used by NSW) to ICD-10AM may lead to an under-estimation of mental health-related presentations.


Changes in the volume of patients over time for NSW may be attributed, in part, to the increased number of hospitals included in the data for this jurisdiction.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
Department of Human Services Centrelink Office Locations (Point) 2017

This dataset describes the locations of Centrelink offices across Australia and is current as of 8 February 2017. Each office is also described according to their name, full address and opening hours (if available). The Department of Human Services is responsible for the development of service delivery policy and provides access to social, health and other payments and services through a range of services such as Centrelink. 
For more information please visit the Open Government Data Portal.
Please Note:

AURIN has spatially enabled the original data.


Tags: Australia, centrelink, dhs, government, office
Organization: Australian Government - Department of Human Services
SA4-W11c Industry of Employment by Hours Worked by Sex-Census 2016

SA4 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Females Inadequately described Not stated Number of hours worked None' - 'Persons Arts and recreation services Number of hours worked 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, employment, industry, industry of employment, w11c, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics