AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Premature Mortality - Cause (LGA) 2014-2018

This dataset, released February 2021, contains the statistics of premature mortality by various causes for people below 75 years, over the years 2014 to 2018. Causes for death include cancer (colorectal, lung, breast), diabetes, circulatory system diseases (ischaemic heart disease, cerebrovascular disease), respiratory system diseases (chronic obstructive pulmonary disease), and external causes (road traffic injuries, suicide and self-inflicted injuries)
The data is by Local Government Area (LGA) 2016 geographic boundaries.
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) for Australia, 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
LGA-W03c Status in Employment by Hours Worked by Age-Census 2016

LGA 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 unincorporated enterprises 75 years and over Number of hours worked None' - 'Status in employment not stated 30-34 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: 2016, census, employment, employment status, w03c, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Potentially Preventable Admissions - All Conditions  (PHA) 2014-2015

This dataset, released December 2017, contains data on the number of All potentially preventable hospitalisations - Vaccine-preventable, Acute and Chronic conditions, 2014/15. 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 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
SA4-W17c Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, 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. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Technicians and trades workers $1000-$1249 Number of hours worked None' - 'Community and personal service workers $1750-$1999 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, income, occupation, personal income, w17c, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CCD-B17A Qualification (Highest) Field by Qualification (Highest) Level by Sex-Census 1996

Census Collection District (CCD) based data for Qualification Field by Qualification Level by Sex, in Basic Community Profile, 1996 Census. Persons aged 15 years and over with a qualification. Excludes persons with a qualification outside the scope of the Australian Bureau of Statistics Classification of Qualifications (ABSCQ). B17 is broken up into 2 sections (B17A – B17B), this section contains ‘Higher degree in Business and administration Males’ - 'Females total total’. The data is by CCD 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b17a, basic community profile, bcp, census, education, field, level, qualification
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-I12 Household & Family Composition by Number of Persons Usually Resident by Indigenous Status of Household-Census 2016

SA2 based data for Household Composition and Family Composition by Number of Persons Usually Resident by Indigenous Status of Household, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Persons usually resident includes up to three residents who were temporarily absent on Census Night. A household with Aboriginal and/or Torres Strait Islander person(s) is any household that had at least one person of any age as a resident at the time of the Census who identified as being of Aboriginal and/or Torres Strait Islander origin. 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, aboriginal torres strait islander peolples , atsip, census, composition, family, household, i12, indigenous status, persons usually resident
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G47c Non-School Qualification-Field of Study by Age by Sex-Census 2016

GCCSA 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 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, census, education, g47c, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G11a Proficiency in Spoken Eng by Year of Arrival by Age-Census 2016

LGA 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 '0-14 years Speaks English only Arrived before 2000' - '25-34 years Speaks other language and speaks English Total Arrived 2000-2005'. 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 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, age, arrival, census, english proficiency, g11a, gcp, general community profile, lga, overseas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Prevalence of Selected Health Risk Factors - Composite Indicators (LGA) 2014-2015

This dataset, released May 2017, contains the Estimated number of males, females and persons aged 18 years and over with at least one of four risk factors (current smokers, high risk alcohol, obese, no or low exercise in the previous week), 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
PHIDU - Admissions - Principal Diagnosis: Persons  (LGA) 2017-2018

This dataset, released June 2020, contains data relating to hospital admissions during 2017-2018 by a principal diagnosis of Parasitic disease, cancer, Blood-organ disease, metabolic disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations and external causes. 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 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
SA3-W03e Status in Employment by Hours Worked by Age-Census 2016

SA3 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 'Total 65-69 years Number of hours worked None' - 'Total 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, employment, employment status, w03e, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Deaths in Australia (SA2) 2010-2015

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 Level 2 (SA2) of Australia for 30 June 2010 to 2015, according to the 2011 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2010 and 2011, revised for 2012 to 2014 and preliminary for 2015. For 2015, preliminary ERP used in sub-state data cubes is different from that used elsewhere in this release. Data has been sourced from the September 2016 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 2011 SA2 boundaries.

Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G28 Total Family Income (Weekly) by Family Composition-Census 2016

LGA based data for Total Family Income (Weekly) by Family Composition, in General Community Profile (GCP), 2016 Census. Count of families in family households. Total Family Income (Weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. Families includes same-sex couple families. Household excludes 'Lone person', 'Group', ‘Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. 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, family composition, family income, g28, gcp, general community profile, lga, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - School Locations for Victoria 01/02/2015

This dataset presents the listing of all school locations in Victoria as on February 2015, including primary and secondary schools, government and non-government. This information has been collected as part of the ongoing registration of schools. School details include name, school sector, school type, address, phone.
For more information please visit the Victorian Government Data Portal.
Please Note:

AURIN has spatially enabled the original data.


Tags: School
Organization: Government of Victoria - Department of Education and Training
LGA-I02 Indigenous Status by Sex-Census 2016

LGA based data for Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons in the following categories: identified themselves as Aboriginal and/or Torres Strait Islanders, identified themselves as non-indigenous, did not state their indigenous status. 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, aboriginal torres strait islander peoples, atsip, census, i02, indigenous status, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B16 Qualification (Highest) Level By Sex (CD) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Census Collection Districts (CD) in Australia. 
This table contains data relating to qualification (highest) level by sex. Counts are of persons aged 15 years or more, 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 CD 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 extracted from CDATA91 which was supplied to AURIN by the University of Melbourne. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au
For more information please refer to the 1991 Census Dictionary

Tags: 1991, b16, basic community profile, bcp, census, education, place of enumeration, qualification
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G47a Non-School Qualification-Field of Study by Age by Sex-Census 2016

SA3 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 'Males Natural and Physical Sciences Age 15-24 years' - 'Females Management and Commerce Age 25-34 years'. 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, education , g47a, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G29 Total Household Income (Weekly) by Household Composition-Census 2016

SA4 based data for Total Household Income (Weekly) by Household Composition, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Total Household Income (Weekly) is calculated by summing the personal incomes reported by all household members aged 15 years and over. Excludes 'Visitors only' and 'Other non-classifiable' households. Comprises 'Lone person' and 'Group households'. 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, g29, gcp, general community profile, household composition, household income, sa4, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Premature Mortality - Cause (PHA) 2014-2018

This dataset, released February 2021, contains the statistics of premature mortality by various causes for people below 75 years, over the years 2014 to 2018. Causes for death include cancer (colorectal, lung, breast), diabetes, circulatory system diseases (ischaemic heart disease, cerebrovascular disease), respiratory system diseases (chronic obstructive pulmonary disease), and external causes (road traffic injuries, suicide and self-inflicted injuries)
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 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) for Australia, 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