AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Emergency Department Presentations - Total Triage Category (PHN) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for Total by triage category, 2017/18. Presentations include Resuscitation presentations - Total; Emergency presentations - Total; Urgent presentations - Total; Semi-urgent presentations - Total; Non-urgent presentations - Total.
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 using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 2018.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SGSEP - Rental Affordability Index - All dwellings for Australia (Polygon) Q1 2011-Q2 2021

This dataset presents the Rental Affordability Index (RAI) for all dwellings. The data uses a single median income value for all of Australia (enabling comparisons across regions), and spans the quarters Q1 2011 to Q2 2021. The RAI covers all states with available data, the Northern Territory does not form part of this dataset.
National Shelter, Bendigo Bank, The Brotherhood of St Laurence, and SGS Economics and Planning have released the RentalAffordability Index (RAI) on a biannual basis since 2015. Since 2019, the RAI has been released annually.
It is generally accepted that if housing costs exceed 30% of a low-income household's gross income, the household is experiencing housing stress (30/40 rule). That is, housing is unaffordable and housing costs consume a disproportionately high amount of household income. The RAI uses the 30 per cent of income rule. Rental affordability is calculated using the following equation, where 'qualifying income' refers to the household income required to pay rent where rent is equal to 30% of income: 
RAI = (Median income ∕ Qualifying Income) x 100
In the RAI, households who are paying 30% of income on rent have a score of 100, indicating that these households are at the critical threshold for housing stress. A score of 100 or less indicates that households would pay more than 30% of income to access a rental dwelling, meaning they are at risk of experiencing housing stress.
For more information on the Rental Affordability Index please refer to SGS Economics and Planning.
The RAI is a price index for housing rental markets. It is a clear and concise indicator of rental affordability relative to household incomes, applied to geographic areas across Australia. 
AURIN has spatially enabled the original data using geometries provided by SGS Economics and Planning. Values of 'NA' in the original data have been set to NULL.

Tags: Applied economics, ECONOMICS, Urban, regional economics 
Organization: SGS Economics and Planning
SA4 Agricultural Commodities - Businesses Involved 2015-2016

This dataset presents counts of businesses involved in the production of agricultural commodities, in Australia by Statistical Area Level 2 (SA4), from the 2015-2016 Agricultural Census. Data is aggregated to 2011 ASGS SA4 boundaries. 
The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a  EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. 
The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.
This data is ABS data (catalogue number: 7121.0) used with permission from the Australian Bureau of Statistics.
For more information on the dataset please visit the Australian Bureau of Statistics.
Please note: 


Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data


Where data was not published or not applicable the records have been set to null



Tags: Australia, agriculture, aus, business, commodities
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SSD Income Support 2009

Income support such as: age pensions, disability pensions, health care concession cards, single parent support and unemployment support. As well as data on low income families, children and the unemployed by SSD in 2009.

Tags: age pensioners, concession card, disability, health, health care card, income support, long term unemployment benefit, low income, pensioners, pensions, population, social, unemployment benefit, welfare, well being
Organization: Torrens University Australia - Public Health Information Development Unit
SA4-G43b Labour Force Status by Age by Sex-Census 2016

SA4 based data for Labour Force Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. Full-time work is classified as having worked 35 hours or more in the week prior to census night and employed, away from work is classified as working 0 hours in the week prior to census night. G43 is broken up into 2 sections (G43a - G43b), this section contains 'Females Total labour force Age 15 19 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, age, census, g43b, gcp, general community profile, labour force, sex, work, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Residential Dwellings (Points) 2008

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows dwelling data based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown. The data covers the year period of 2008.
For more information please visit the City of Melbourne CLUE Portal.
Please note: 


AURIN has acquired the data 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.



Tags: 2008, building, census, clue, land, melbourne, residential, use
Organization: Local Government of Victoria - City of Melbourne
SA1-P16b Highest Year of School Completed by Age by Sex-Census 2016

SA1 based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Persons Year 8 or below Age 15-19 years' - 'Persons Total Total'. 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, age, census, education, highest year of schooling, p16b, pep, place of enumeration profile, sa1, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B09 Country of Birth of Person by Sex  as at 2011-08-11

SA2 based data for Country of Birth, for 2011 Census. Count of all persons 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
PHIDU - Child and Youth Health (PHN) 2011-2016

This dataset, released July 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2015; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; Infant deaths, 2011 to 2015; Child mortality: Deaths of children aged 1 to 4 years, 2011 to 2015; Youth mortality: Deaths of persons aged 15 to 24 years, 2011 to 2015. 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 data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2015;  the National HPV Vaccination Program Register (NHVPR), February 2018; the ABS Census Estimated Resident Population (ERP) 2015; and deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, 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
PHIDU - Potentially Preventable Admissions - All Conditions  (PHA) 2016-2017

This dataset, released November 2018, contains data on the number of All potentially preventable hospitalisations - Vaccine-preventable, Acute and Chronic conditions, 2016/17. 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 using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
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
PHIDU - Age Distribution - 5 Year Age Groups: Aboriginal Females (LGA) 2016

This dataset, released in December 2017, contains the female Aboriginal usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Local Government Area (LGA) 2016 geographic boundaries.
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.
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: Aboriginal, HEALTH SCIENCES, INDIGENOUS STUDIES, Public health, Torres Strait Islander health, wellbeing
Organization: Torrens University Australia - Public Health Information Development Unit
Geoscience Australia - Onshore Oil Pipelines 2015

This dataset presents locations of onshore oil pipelines in Australia. This dataset was created using the latest pipeline datasets acquired from the States and Territories, the data was uploaded into an ArcSDE environment using Feature Manipulation Engine (FME). The process included the extraction of the themed (oil pipeline) features, and the translation of the data into a new schema created by the Built Environment &amp; Exposure Section, National Location Information Group, Geoscience Australia (GA). 
For more information please visit the Geoscience Australia Web Service Portal.
Please note: 

This dataset is a snapshot of Geoscience Australia's web service dataset as on 2019-02-15


Tags: built, oil, pipeline
Organization: Government of the Commonwealth of Australia - Geoscience Australia
SA2 Agriculture Commodities - Gross Value Produced 2015-2016

This dataset presents final estimates of the gross values of agricultural commodities produced in Australia by Statistical Area Level 2 (SA2) from the Value of Agricultural Commodities Produced (VACP) collection derived from the Agriculture Census of 2015-2016. Categories included in VACP are statistics on gross and local values of crops, livestock disposals and livestock products. Data is aggregated to 2011 ASGS SA2 boundaries.
The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a  EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. 
The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.
This data is ABS data (catalogue number: 7503.0) used with permission from the Australian Bureau of Statistics.
For more information on the dataset please visit the Australian Bureau of Statistics.
Please note: 


Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data


Where data was not published or not applicable the records have been set to null



Tags: Australia, agriculture, aus, commodities, gross, local, production, value
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA Attorney General - Liquor & Gaming Licences (Point) September 2013

This dataset presents publicly accessible liquor and gaming licence details under Liquor and Gaming legislations. This dataset presents registered licences as of September 2013.
For more information visit the South Australian Government Data Portal.
Please note: 


AURIN has spatially enabled the original data by geocoding the addresses provided.


The geocoders used were the AURIN implementation of both the Pelias and Data61-GNAF geocoders.


Only licences which are held by business entities with a valid address that were able to be successfully geocoded have been included in this dataset.



Tags: authority, health
Organization: Government of South Australia - Attorney-Generals Department
AIHW - Medicare Benefits Schedule Statistics - People who Did Not Claim a GP Attendance (%) (SA3) 2016-2017

This dataset presents the footprint of the percentage of people who did not claim a general practitioner (GP) attendance. This has been calculated with the number of people who did not claim a GP attendance, divided by the Estimated Resident Population (ERP) as at 30 June 2016, and multiplied by 100. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. These claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim is processed by the Department of Human Services.
For further information about this dataset visit the data source: Australian Institute of Health and Welfare - Medicare Benefits Schedule GP and Specialist Attendances and Expenditure in 2016-17 Data Tables.
Please note:


AURIN has spatially enabled the original data.


MBS claims data do not include services that were provided free of charge to public patients in hospitals or were subsidised by the Department of Veterans' Affairs, compensation arrangements or through other publicly funded programs including jurisdictional salaried GP services provided in remote outreach clinics.


GP attendances are Medicare benefit-funded patient/doctor encounters, such as visits and consultations, for which the patient has not been referred by another doctor. GP attendances do not include services provided by practice nurses and Aboriginal and Torres Strait Islander health practitioners on a GP's behalf.


Unique GP patients were identified through the Patient Identification Numbers (PINs) in the Medicare claim records.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - U23 Method Of Travel To Work (SLA) 1986

Statistical Local Area (SLA) based data for Method Of Travel To Work, 1986 census. Census counts were based on place of usual residence which; excludes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 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, census, place of usual residence, transport, travel, u23, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B33 Mortgage Repayment (Monthly) by Dwelling Structure as at 2011-08-11

SA4 based data for Mortgage Repayment (Monthly) by Dwelling Structure, for 2011 Census. Count of Count of occupied private dwellings on Census night based on place of usual residence. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
LGA11 Education - Varied from 2011 to 2013 for different education levels

Full time participation in secondary school at age 16 (2011), school leaver participation in higher education (2013) and participation in vocational education training (2012) by LGA 2011.

Tags: education, higher education, population, school leavers, secondary school, training, vet, vocational education
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-W21b Method of Travel to Work by Occupation-Census 2016

SA2 based data for Method of Travel to Work by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W21 is broken up into 2 sections (W21a - W21b), this section contains 'Two methods Bus and Ferry Managers' - '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, census, occupation, transport, travel method, w21b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics