AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Age Distribution - 5 Year Age Groups: Females (PHA) 2016

This dataset, released December 2017, contains female estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2016. 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 the ABS Census of Population by Age and Sex, Regions of Australia, 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SNAMUTS - Indicators by Activity Nodes (Point) 2021

This dataset presents the Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) indicators by activity node locations for the year of 2021.
SNAMUTS Australia is a multiple indicator tool to assess public transport network performance and land use-transport integration in Australia's five largest metropolitan areas (Adelaide, Brisbane, Melbourne, Perth, Sydney), at SA1 level and for specified activity nodes in the census years 2011, 2016 and 2021. SNAMUTS is a decision-making support tool designed to inform strategies for public transport infrastructure and service improvements, land use intensification and overall metropolitan strategic planning. It also allows for timeline and city-to-city comparisons on public transport performance and accessibility indicators between about 30 cities on four continents.
SNAMUTS has been developed and refined with funding from the Australian Research Council (DP110104884), the European Science Foundation (COST TU1002), the Cities of Melbourne, Manningham and Perth, internal support through RMIT University, Curtin University and University of Melbourne, the Sustainable Built Environment National Research Centre (SBENRC), AURIN and in-kind support by the University of Porto, Goudappel Coffeng, University of Amsterdam, University of Gothenburg, Norwegian University of Life Sciences, Western Norway University of Applied Sciences, Concordia University and University of Westminster.
These are known as the eight key SNAMUTS indicators, they include:
- Transfer intensity (degree centrality)
- Ease of movement (closeness centrality),
- Geographical reach of public transport journeys (30-minute contour catchment)
- Spatial concentration of public transport journey paths (betweenness centrality and transfer propensity)
- Flexibility of movement (nodal connectivity) 
- Future-proofness of the network (nodal resilience)
- A composite index for overall public transport accessibility. 
It is based on public transport network and timetable information available publicly through transport agencies (Adelaide Metro, Translink, PTV, Transperth, TfNSW) and ABS census data (usual residential population and journey-to-work destinations) for the three years (2011, 2016, 2021). This data can be viewed in conjunction with the corresponding routes dataset: "SNAMUTS - Route Segment (Polyline) 2021".
For more information, please refer to the SNAMUTS website. A full list of SNAMUTS publications can be found at http://www.snamuts.com/publications.html.

Tags: indicator, transport
Organization: Spatial Network Analysis For Multi-Modal Urban Transport Systems
ABS - Deaths in Australia (SA2) 2012-2020

This dataset contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual residence was overseas. Deaths of Australian residents that occurred outside Australia may be registered by individual Registrars, but are not included in Australian Bureau of Statistics (ABS) death statistics.
Standardised death rates in this dataset differ from those in the ABS.Stat datasets and commentary. Standardised death rates in this dataset are averaged using data for the three years ending in the reference year. They are calculated for each calendar year and then averaged. Standardised death rates in the ABS.Stat datasets and commentary are based on death registration data for the reference year only. Null values represent data not available for publication
This dataset uses deaths and estimated resident population (ERP) for Statistical Area 2 (SA2) of Australia for 30 June 2012 to 2020, according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2012 to 2016, revised for 2017 to 2019 and preliminary for 2020, based on the 2016 Census of Population and Housing. Data has been sourced from the September 2021 release.
For more information including which ERP was used in this dataset please visit the Australian Bureau of Statistics (ABS) Explanatory Notes.
AURIN has spatially enabled the original data from the ABS with the 2016 SA2 boundaries.

Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B22A Unpaid Child Care by Age by Sex as at 2011-08-11

LGA11 based data for Unpaid Child Care by Age by Sex, for 2011 Census. Count of all persons 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.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Self-assessed Health (PHA) 2017-2018

This dataset, released January 2020, contains an Estimated number of people aged 15 years and over, who reported their self-assessed health as fair or poor, 2017-18. 
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: 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
PHIDU - Avoidable Mortality - Sex (PHN) 2014-2018

This dataset, released February 2021, contains statistics relating to Deaths from all avoidable causes for males/females/persons aged 0 to 74 years, 2014-2018. 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: Data compiled by PHIDU from deaths data based on the 2014 to 2018 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. The population is the ABS Estimated Resident Population (ERP), 30 June 2014 to 30 June 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
SA3-G38 Dwelling Structure by Number of Bedrooms-Census 2016

SA3 based data for Dwelling Structure by Number of Bedrooms, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, bedrooms, census, dwelling structure, g38, gcp, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
QED - School Opinion Survey - Teaching Staff (Point) 2013

This dataset presents the location of School Opinion Survey for teaching staff in Queensland state schools by school for the year of 2013.
The School Opinion Survey (SOS) is an annual suite of surveys (parent/caregiver, student, staff and principal) to gauge opinions on important aspects of schooling in Queensland state schools. The staff and principal surveys also provide an opportunity for school staff to express their opinions on the school as a work environment.
For further information about this dataset, please visit the Queensland Department of Education - School Opinion Survey.
Please note:


AURIN has spatially enabled this data using the Queensland Department of Education - State and Non State School Listings.


Data is made available through a AURIN-QCIF-RIDL collaboration.


Where less than 3 persons responded to a given question, the 'Total Agreement' response was left blank.



Tags: education
Organization: Government of Queensland - Department of Education
SA3-G49a Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Occupation 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). G49 is broken up into three sections (G49a-G49c) this section contains 'Males Postgraduate Degree Level Postgraduate Degree Level Not further defined Occupation Managers' - 'Females Graduate Diploma and Graduate Certificate Level Graduate Diploma and Graduate Certificate Level Not further defined 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, education, g49a, gcp, general community profile, non-school, occupation, qulaification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who are Obese Crude (%) (PHN) 2011-2015

This dataset presents the footprint of the crude percentage of adults who are obese. Adults were classified as obese if their Body Mass Index (BMI) was greater than or equal to 30. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial years of 2011-2012 and 2014-2015, and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences.


Adults are defined as persons aged 18 years and over.


Values assigned to "n.p." in the original data have been removed from the data.


Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA15 Aboriginal Females Age Distribution - 2015

The number of Aboriginal females and their proportion of the total Aboriginal female population for 5 year age groups to 65+, 2015. Aboriginal as used in this workbook refers to Aboriginal and Torres Strait Islander people (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on Indigenous population estimates refer to: http://phidu.torrens.edu.au/.
 Source: Compiled by PHIDU based on data developed by Prometheus Information Pty Ltd, under a contract with the Australian Government Department of Health.

Tags: aboriginal, age, distribution, female, lga profile 2015, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-I06 Highest Year of School Completed by Indigenous Status by sex-Census 2016

SA3 based data for Highest Year of School Completed by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. 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, aboriginal torres strait islander peoples, atsip, census, education, educational attainment, highest year of schooling comnplete, i06, indigenous status, sex, students
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B18 Core Activity need for Assistance by Age by Sex as at 2011-08-11

SA3 based data for ore Activity Need For Assistance By Age by Sex, 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
SA1-based B12B Proficiency in Spoken English/Language of Parents by Age of Dependent Children as at 2011-08-11

SA1 based data for Age of Dependent Children, and Proficiency in Spoken English/Language of parents, for 2011 Census. Count of dependent children in couple families. Excludes same-sex couples. Excludes couple families where the husband/wife or de facto partner was temporarily absent on Census Night. Comprises children aged under 15 years and dependent students aged 15-24 years, who were present in the household on Census Night. 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
ABS - Data by Region - Education & Employment (SA2) 2011-2019

This dataset presents data on education and employment 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 2 (SA2) 2016 boundaries. The dataset includes information in the following specified areas of education and employment: Early Childhood - Enrolment and Attendance in Preschool Programs, Non-School Qualifications, Higher Education Loan Program (HELP) Repayments, Highest Year of School Completed, Occupation of Employed Persons, Youth Engagement in Work or Study, Jobs in Australia and Labour Force.
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) SA2 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.



Tags: Economic, Education, Employment
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2 OECD Indicators: Employment 2011

This table contains employment and unemployment rates (number of people who are employed or unemployed divided by the total number of people in the labour force) for the age groups 15 - 25, 25 - 44, 45 - 64 calculated from the 2011 Census for the AURIN Social Indicators project.

Tags: employment
Organization: University of Canberra - National Centre for Social and Economic Modelling
ABS Census - U15 Birthplace of Parents of Australian Born Persons (LGA) 1986

Local Government Area (LGA) based data for Birthplace of Parents of Australian Born Persons, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VCGLR -  Gaming Expenditure by Venue (Point) 2013 - 2014

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2013/14 financial year. It includes venue classification and the allocation of electronic gaming machines (EGMs) throughout Victoria.
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:


AURIN has spatially enabled the original data through joining it with gaming venue locations from the VCGLR's interactive map of Victoria's gaming venues extracted on the 8th of March 2019. Therefore venues that have either changed their trading name or cease to exist as of the 8th of March 2019 will not be included in this dataset, despite being active in the year expenditure was recorded. 


EGM Numbers: Average number of operating EGM's at the gaming venue during the month. This figure is consistent with the average entitlement applied to the EGM as per tax calculation.



Tags: expenditure, gambling, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (LGA) 2014-2015

This dataset, released December 2017, contains data on the number of Potentially preventable hospitalisations - Acute conditions, 2014/15. 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 using data from the Australian Institute of Health and Welfare, supplied on behalf ofState and Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30June 2014 and 2015.
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