AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Avoidable Mortality - Selected Causes (PHA)  2014-2018

This dataset, released February 2021, contains statistics relating to avoidable mortalities during the year 2014-2018 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases and external causes. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Data compiled by PHIDU from deaths data based on the 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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-G11a Proficiency in Spoken Eng by Year of Arrival by Age-Census 2016

SA3 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 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, arrival, census, english proficiency, g11a, gcp, general community profile, overseas, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G30 Number of Motor Vehicle by Dwelling Structure-Census 2016

SA1 based data for Number of Motor Vehicles by Dwellings, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings categorised by the number of registered motor vehicles owned or used by household members. It includes company owned vehicles garaged, parked at or near private dwellings on Census night. It excludes motorbikes and scooters. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, cars, census, dwelling, g30, gcp, general community profile, motor vehicles , sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E40 Structure Of Dwelling By Number Of Bedrooms By Number Of Persons (Usually Resident) (SLA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to structure of dwelling by number of bedrooms by number of persons (usually resident (a)). Counts are of occupied private dwellings containing family, group, and lone person households, 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 SLA 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) Spouses, offspring, and co-tenants (in group households) who were temporarily absent on census night are included. A maximum of 3 temporary absentees can be counted in each household.


Tags: 1991, bedroom, census, community, dwelling, e40, ecp, expanded, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - By Procedures  (PHN) 2017-2018

This dataset, released June 2020, contains data relating to hospital admissions during 2017-2018 by the following procedures: tonsillectomy, myringotomy (ages 0-9), hysterectomy (ages 30-59), Caesarean section (ages 15-44), delivery birth (ages 15-44), coronary artery bypass graft, coronary angioplasty, cardiac catheterisation, hip fracture, knee replacement, knee arthroscopy, and colonoscopy. 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
City of Melbourne CLUE Residential Dwellings (Points) 2009

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 2009.
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: 2009, building, census, clue, land, melbourne, residential, use
Organization: Local Government of Victoria - City of Melbourne
ABS - Personal Income - Employee Income (SA4) 2011-2018

This dataset presents information about employee income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 4 (SA4) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).
Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR).
All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.
The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.
Please note:


All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.


To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics, while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.


Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.


For further information please visit the Australian Bureau of Statistics.
AURIN has made the following changes to the original data:


Spatially enabled the original data.


Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.



Tags: Demography, Economic geography , HUMAN SOCIETY, Human geography, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G23b Relationship in Household by Age by Sex-Census 2016

SA1 based data for Relationship in Household by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Visitors only' and 'Other non-classifiable' households.  Includes same sex couples. G23 is broken up into 2 sections (G23a - G23b), this section contains 'Females Group household member Age 15-24 years' - 'Person 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, composition, g23b, gcp, general community profile, household, relationship, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Persons (PHN) 2019

This dataset, released September 2020, contains the total estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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 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
GCCSA-G10c Country of Birth by Year of Arrival in Australia-Census 2016

GCCSA based data for Country of Birth of Person by Year of Arrival in Australia, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G10 is broken up into 3 sections (G10a - G10c), 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 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, birthplace, census, country of birth, g10c, gccsa, gcp, general community profile, year of arrival
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P20a Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

SA2 based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. It includes work that the person did without pay, in their own home and in other places, for themselves, their family and other people in the household, in the week prior to Census night. P20 is broken up into 2 sections (P20a - P20b), this section contains 'Males 15-19 years Did unpaid domestic work Less than 5 hours' - 'Persons 45-54 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, age, census, domestic work, hours, household work, p20a, pep, place of enumeration profile, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - By Procedures  (LGA) 2016-2017

This dataset, released November 2018, contains data relating to hospital admissions during 2016-2017 by the following procedures: tonsilectomy, myringotomy (ages 0-9), hysterectomy (ages 30-59), Caesarean section (ages 15-44), delivery birth (ages 15-44), coronary artery bypass graft, coronary angioplasty, cardiac catheterisation, hip fracture, knee replacement, knee arthroscopy, and colonoscopy. 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 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
SA4-G03 Place of Usual Residence on Census Night by Age-Census 2016

SA4 based data for Place of Usual Residence on Census Night by Age, in General Community Profile (GCP), 2016 Census. Count of persons (excludes overseas visitors). People were counted in the following categories: at home on census night, visitor from same SA2, visitor from a different SA2 and corresponding state visiting, and total visitors. 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, g03, gcp, general community profile, place of residence, sa4, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Residential Dwellings (Points) 2004

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 2004.
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: 2004, building, census, clue, land, melbourne, residential, use
Organization: Local Government of Victoria - City of Melbourne
SA2-W17e Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA2 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 'Sales workers Negative Nil income Number of hours worked None' - 'Machinery operators and drivers $300-$399 Number of hours worked 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, income, occupation, personal income, w17e, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C27  Families per Household (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 on families per household. 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, c27, census, families, households, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Main Roads WA - Traffic Signal Sites 2018

This dataset presents the location of electronic traffic signals, designed, owned and or controlled and maintained by Main Roads Western Australia, that control vehicle and pedestrian traffic at an intersection or on a road are identified in this data set. The signal can be red, yellow, green or white light displays, and can include circular and arrow signals, pedestrian signals, bicycle crossing signals, B (bus) signals, overhead lane control signals, and twin red or yellow signals. This dataset was developed to identify the location of Main Roads' controlled electronic signals across Western Australia and assist in the management of this asset. Additionally, it records attribute information which includes the LM No (Asset ID.), Service Status, Signal Type, Intersection Name and Intersection Description. 
This data presents the traffic signal sites of Western Australia as of June 2018. AURIN took the data in August 2018.
For more information please visit the MRWA Open Data Portal.

Tags: WA, Western Australia, network, points, road, signal, sites, traffic, transportation
Organization: Government of Western Australia - Main Roads Western Australia
SA2-W08e Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

SA2 based data for Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. W08 is broken up into 5 sections (W08a - W08e), this section contains 'Total Construction Total' - 'Total 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08e, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P13 Language Spoken at Home by Sex-Census 2016

SA1 based data for Language Spoken at Home by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. 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, language, language spoken at home, p13, pep, place of enumeration profile, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics