AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Personal Income - Employee Income by Age and Sex (SA4) 2011-2018

This dataset presents information about employee income by age and sex. 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Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.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
PHIDU - Potential Years of Life Lost - Males (LGA) 2014-2018

This dataset, released February 2021, contains the potential years of life for all death of males aged 0 to 14, 15 to 24, 25 to 44, 45 to 64 and 65 to 74, over the years 2014 to 2018. Potential years of life lost represents the sum of the actual age at death and 75 years of age.
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
City of Melbourne CLUE Floor Space Usage (Block) 2005

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the floor space (in square metres) per city (CLUE) block, classified by their space use and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2005.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired 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.


Suppressed values have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2005, census, clue, floor, land, melbourne, space, use
Organization: Local Government of Victoria - City of Melbourne
SA2-G16a Highest Year of School Completed by Age by Sex-Census 2016

SA2 based data for Highest Year of School Completed by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. G16 is broken up into 2 sections (G16a - G16b), this section contains 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent 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, education, g16a, gcp, general community profile, highest year of schooling, sa2, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Principal Diagnosis - External Cause: Persons  (LGA) 2017-2018

This dataset, released June 2020, contains data related to hospital admissions during 2017-2018 by a principal diagnosis of injury or poisoning, by an external cause. The causes include transport crash injury, accidental poisoning, falls, injury due to exposure to inanimate or animate mechanical forces, intentional self-harm, assault and some other diagnosis of injury or poisoning(by external cause). This includes data for both Public hospitals and All hospitals. 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
City of Melbourne CLUE Business Establishments by CLUE Industries (Block) 2011

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the number of business establishments per city (CLUE) block, classified by their CLUE industry (from ANZSIC) and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2011.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).


Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired 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: 2012, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
City of Melbourne CLUE Building Information (Point) 2010

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows selected building attributes including location, construction year, refurbished year, number of floors above ground, predominant space use, bicycle/shower facilities and building accessibility. Building accessibility data is collected to track accessibility for internal City of Melbourne purposes. This data is provided as a community service by the City of Melbourne. It is not and does not purport to be a complete guide. There may be errors or omissions. The data covers the year period of 2010.
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: 2010, accessibility, building, census, clue, information, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
ABS Census - E04 Age By Sex - Aboriginal And Torres Strait Islander Persons (LGA) 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 Local Government Areas (LGA) in Australia. 
This table contains data relating to age by sex. Counts are of all Aboriginal and Torres Strait Islander persons, 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.

Tags: 1991, age, census, community, e04, ecp, expanded, indigenous, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G30 Number of Motor Vehicle by Dwelling Structure-Census 2016

GCCSA 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 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, cars, census, dwelling, g30, gccsa, gcp, general community profile, motor vehicles 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W01b Labour Force Status by Age by Sex-Census 2016

LGA based data for Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. 'Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night. W01 is broken up into 2 sections (W01a - W01b), this section contains 'Persons 75 years and over Employed Worked full-time' - 'Persons Total 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, labour force, w01b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 13.3: Proportion of Convicted Youths on Community Order (LGA)  2006-2013

This dataset presents indicator 13.3: Rate of young people on community based supervision. The data covers the financial years of 2006/07-2012/13 and is aggregated by Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the Client Relationship Information System (CRIS).
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2005

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents business establishments with their trading name, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation. as points which represent a single business. The data covers the year period of 2005.
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: 2005, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
SA2-P42a Industry of Employment by Occupation-Census 2016

SA2 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 'Agriculture forestry and fishing Occupation Managers' - 'Inadequately described Not stated 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, industry, occupation, p42a, pep, place of enumeration profile, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Median Age at Death: Sex (PHN) 2010-2014

This dataset, released December 2016, contains Median age at death of males, 2010 to 2014; Median age at death of females, 2010 to 2014; Median age at death of persons, 2010 to 2014. 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 2010 to 2014 Cause of Death Unit Record Filessupplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registriesof Births, Deaths and Marriages and the National Coronial Information System.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
DJSB Labour Market Data - Employment by Occupation SA4 2018

This dataset presents data on the numbers and status of employment by occupation and gender for the Statistical Area Level 4 (SA4) regions as of August 2018. The boundaries for this dataset follow the 2011 edition of the Australian Statistical Geography Standard (ASGS).
The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.
Please note: 


AURIN has spatially enabled the original data.


Data Source: ABS Labour Force Survey, four quarter average.



Tags: abs, business, economy, employment, jobs, labour market, market, paticipation, services, unemployment
Organization: Government of the Commonwealth of Australia - Department of Jobs and Small Businesses
ABS Census - C22  Mode Of Travel To Work (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 mode of travel to work. 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, c22, census, place of enumeration, transport, travel mode, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Birthplace - Non-English Speaking Residents (PHN) 2016

This dataset, released August 2017, contains the Australian residents population by their birthplace divided into English speaking (ES) and non-English speaking (NES) countries, 2016.
 The following countries are designated as ES: Canada, Ireland, New Zealand, South Africa, United Kingdom and the United States of America; the remaining countries are designated as NES. The dataset also includes the population people born overseas and report poor proficiency in English. 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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
VIC DET - VCAMS Indicators - 30.1: Proportion of Children with Concerning Vision (LGA) 2014-2015

This dataset presents indicator 30.1: Proportion of children entering primary school whose parents report concerns about their vision. The data covers the years of 2014-2015 and is aggregated by Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the School Entrant Health Questionnaire (SEHQ).
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
ABS - ASGS - Country (AUS) 2016

This dataset is the Country (AUS) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016.
For the original data and more information, refer to the Australian Bureau of Statistics' Issue.
The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.
The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics