AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Education (PHA) 2015-2016

This dataset, released  April 2018, contains education information relating to Preschool participation, 2016; People who left school at Year 10 or below, or did not go to school, 2016; Full-time participation in secondary school education at age 16, 2016; Participation in vocational education and training, 2015; Load Pass Rates of vocational education and training subjects, 2015; Government-funded vocational education and training subjects, 2015; School leavers enrolled in higher education, 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 data from the ABS Census of Population and Housing, August 2016; the National Centre for Vocational Education Research Ltd., 2015; the ABS Estimated Resident Population, 30 June 2015; the Universities Admissions Centre (NSW &amp; ACT), Victorian Tertiary Admissions Centre, South Australian Tertiary Admission Centre (SA &amp; NT), Tertiary Institutions Service Centre (WA), The University of Notre Dame Australia (WA &amp; NSW), the University of Tasmania. 
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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: EDUCATION, HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
VCGLR -  Gaming Expenditure by Venue (Point) 2008 - 2009

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2008/09 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
SA2-W03b Status in Employment by Hours Worked by Age-Census 2016

SA2 based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Owner managers of incorporated enterprises 45-49 years Number of hours worked None' - 'Owner managers of unincorporated enterprises 70-74 years 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, employment, employment status, w03b, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VCGLR -  Gaming Expenditure by Venue (Point) 2011 - 2012

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2011/12 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 - Private Health Insurance Hospital Cover (Modelled Estimates) (LGA) 2014-2015

This dataset, released April 2017, contains the estimated number of people, aged 18 years and over, with private health insurance hospital cover, 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: 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
SA3-P10c Country of Birth by Year of Arrival in Australia-Census 2016

SA3 based data for Country of Birth of Person by Year of Arrival in Australia, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons born overseas (excludes overseas visitors). P10 is broken up into 3 sections (P10a - P10c), this section contains 'South Africa Year of arrival Before 1946' - 'Total Total'. Where arrival is stated as the year 2016 it corresponds to the period 1 January 2016 to 9 August 2016. The list of countries consists of the most common Country of Birth responses (excluding Australia) reported in the 2011 Census. 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, birthplace, census, country of birth, p10c, pep, place of enumeration profile, year of arrival
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W11c Industry of Employment by Hours Worked by Sex-Census 2016

LGA 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 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, employment, industry, industry of employment, w11c, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Females (PHA) 2019

This dataset, released September 2020, contains female estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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, 30 June 2019. 
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
AIHW - Health Risk Factors - Adults who have High Blood Pressure Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who have high blood pressure. High blood pressure (or hypertension), is defined as including any of the following; systolic blood pressure greater than or equal to 140 mmHg, or; diastolic blood pressure greater than or equal to 90 mmHg, or; receiving medication for high blood pressure. 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 year of 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.


Age-standardisation is a method of removing the influence of age when comparing populations with different age structures - either different populations at the same time or the same population at different times. For this data the Australian estimated resident population of people aged 18 and over as at 30 June 2001 has been used as the standard population.


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
PHIDU - Measure of Disadvantage - Summary (LGA) 2016

This dataset, released July 2018, contains the Index of Relative Socio-economic Disadvantage (IRSD), 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 ABS Socio-economic Indexes for Areas (SEIFA), 2016 data. The LGA data were re-produced from the ABS originals. Data for other geographic levels were constructed using population weighted averages, based on the published ABS SA2 data.
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, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (PHN) 2017-2018

This dataset released in June 2020, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2017/18. 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 Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 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
PHIDU - Learning or Earning (PHN) 2016

This dataset, released December 2017, contains the Learning or Earning population at ages 15 to 24, 2016. 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.
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, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - T21 Nature Of Occupancy By Landlord Type By Dwelling Type - Occupied Private Dwellings (LGA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Local Government Areas (LGA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to the nature of occupancy by landlord type by dwelling type. Counts are of occupied private dwellings, based on place of enumeration on census night which; 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.
Please note:


(a) Nature of occupancy was not collected for caravans etc in caravan parks to prior to the 1991 Census.


(b) Comprises 'other/inadequately described' and 'not stated'.



Tags: census, community, dwelling, occupancy, persons, profile, t08, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C04  1981 Usual Residence (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data for place of usual residence in 1981. 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 Census Collection District 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".

Tags: 1981, c04, census, place of enumeration, residence, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G19 Voluntary Work by Age by Sex-Census 2016

SA4 based data for Voluntary Work for an Organisation or Group by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. 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, g19, gcp, general community profile, sa4, sex, voluntary work, volunteer
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B41C Non-School Qualification: Field of Study by Age by Sex as at 2011-08-11

SA2 based data for Non-School Qualification: Field of Study by Age by Sex, for 2011 Census. Count of persons aged 15 years and over with a qualification on Census night based on place of usual residence. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). 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 Census - T22 Nature Of Occupancy By Landlord Type By Dwelling Type - Persons In Occupied Private Dwellings (LGA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Local Government Areas (LGA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to the nature of occupancy by landlord type by dwelling type. Counts are of persons in occupied 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.
Please note:


(a) Nature of occupancy was not collected for caravans etc in caravan parks to prior to the 1991 Census.


(b) Comprises 'other/inadequately described' and 'not stated'.



Tags: birthplace, census, community, foreign, persons, profile, t08, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AEDC - Vulnerable on Two or More Domains (SA2) 2009-2018

This dataset contains information about children that are vulnerable on two or more domains of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has excluded these results from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
SA1-P42b Industry of Employment by Occupation-Census 2016

SA1 based data for Industry of Employment by Occupation, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P42 is broken up into two sections (P42a - P42b), this section contains 'Total Occupation Managers' - '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, census, employment, industry, occupation, p42b, pep, place of enumeration profile, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics