AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Premature Mortality - Sex (PHN) 2010-2014

This dataset, released December 2016, contains Deaths of males aged 0 to 74 years, 2010 to 2014; Deaths of females aged 0 to 74 years, 2010 to 2014; Total deaths, 0 to 74 years, 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SA4-based B35 Type of Internet Connection by Dwelling Structure as at 2011-08-11

SA4 based data for Internet Connection by Dwelling Structure, for 2011 Census. Type of Internet Connection by Dwelling Structure. Where a dwelling has more than one type of Internet connection, only one is recorded. Excludes 'Visitors only' and 'Other non-classifiable' households. 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 - Births in Australia (LGA) 2010-2020

This dataset contains statistics about births and fertility rates for Australia, states and territories, and sub-state regions.  It includes all births that occurred and were registered in Australia, including births to mothers whose place of usual residence was overseas. 
Estimated resident populations (ERPs) are used as denominators to calculate fertility rates and are based on the results of the 2016 Census. This dataset uses the ABS Local Government Areas (LGA) boundaries of the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures .
For more information such as the scope, coverage and exclusions used in this dataset please visit the Australian Bureau of Statistics (ABS) methodology documentation.
AURIN has spatially enabled the original data from the ABS with the 2020 LGA boundaries.

Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Migration and Humanitarian Program - Family Stream (PHN) 2016

This dataset, released in October 2019, contains the statistics of the Family stream, 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 and Migrants Integrated Dataset, 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 - U16 Level Of Qualification (SLA) 1986

Statistical Local Area (SLA) based data for Level Of Qualification, 1986 census. Census counts were based on place of usual residence which; excludes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1986 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (original geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2102.0) 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 1986 geographic boundaries are available from data.gov.au. 
For more information please refer to the 1986 Census Dictionary.

Tags: 1986, census, education, place of usual residence, qualification, u16
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Employment by ANZSIC Industries (Block) 2016

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2016.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses.
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 ("-" in the original data) have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2016, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
SA2-I03c Age by Indigenous Status by sex-Census 2016

SA2 based data for Age By Indigenous Status By Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons in single year age brackets up to 24 years of age and 5 year age brackets up to 65 years and over. I03 is broken up into three sections (I03a and I03c), this section covers ‘Age years 40-44 years Non-Indigenous Females’ - ‘Total Total Persons’. 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 peoples, age, atsip, census, i03c, indigenous status, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Monthly Rail Origin-Destination Flow (SA2) 2021

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in Queensland (QLD), connected by public transport (PT) networks. The SA2 regions of Queensland connected by buses, trains, trams and ferries have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here.
Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets.
The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

Tags: human mobility, network analyses, transit networks, transport, urban
Organization: CSIRO
SA4-W17d 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 'Community and personal service workers $2000-$2999 Number of hours worked None' - 'Clerical and administrative workers Total 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, w17d, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G44d Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

LGA based data for Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. Comprises couple families with both parents present at their usual residence on Census Night. Excludes same-sex couples. G44 is broken up into 6 sections (G44a - G44f), this section contains 'Dependent children Aged 15-17 years Female parent Employed away from work Male parent Employed Worked Full-time' - 'Dependent children Aged 18-20 years Female parent Unemployed looking for Part-time work Male parent Unemployed looking for Part-time work'. 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, census, dependent children, family, g44d, gcp, general community profile, labour force, parents, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G04b Age by Sex-Census 2016

LGA based data for Age By Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G04 is broken up into two sections (G04a and G04b) this section covers ‘Age years 55 Persons’ - ‘Total Persons’. 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, census, g04b, gcp, general community profile, lga, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
TERN Weekly Pollen Count - Murdoch University, Perth, Western Australia 2006

The datafile, published by the Terrestrial Ecosystem Research Network (TERN) contains the composition and abundance of airborne pollen for the location of Murdoch University, Perth, Australia. The data was collected for the period between September 2006 to December 2006 as part of a study of atmospheric particles and human health. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas” ).
Airborne pollen counts were derived from deployment of a Burkhardt volumetric pollen and spore trap located on a rooftop at 15m above the ground. The sampler used a range of adhesive surface compounds on glass slides. The glass slides were stained with fuchsine. Analysis of each 24-hr period is conducted by counting three transects at 400 magnification. The data are summed to provide an average weekly pollen count.
For more information please visit the Australian Centre for Ecological Analysis and Synthesis (ACEAS) Data Portal.
Please note: 


AURIN has spatially enabled the original data, acquired via the ACEAS Data Portal with permission from TERN.


This dataset allows you to filter the data by the date of collection.



Tags: airborne, atmosphere, environement, health, perth, pollen
Organization: Terrestrial Ecosystem Research Network
NT DIPL - Alice Springs Super Tuesday Bike Counts (Points) 2017

This dataset presents information and locations related to The Super Tuesday Bike Count event in Alice Springs for 2017. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers.
The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.
Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. 
For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report.
Please note: 

Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.


Tags: bicycle
Organization: Northern Territory Government - Department of Infrastructure, Planning and Logistics
ABS - Jobs In Australia - Employed Persons Jobs (SA2) 2014-2019

This dataset presents aggregated data regarding employed persons within the relevant statistical regions, including the number of employee jobs and median employee income per job by sex, classified by Statistical Area Level 2 (SA2). The data spans from 2014-15 to 2018-19 financial year and is aggregated to the 2016 SA2 boundaries.
Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. Employee person refers to any person with one or more job. Employed persons in this publication can be employees, owner-managers of unincorporated enterprises, or both. Employed persons are persons who have employment income in the reference year, excluding those whose employment income is made up entirely of an employment termination payment. Employed persons have one or more jobs on the job file.
The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. 
For more information on the release please visit the Australian Bureau of Statistics
This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.
The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.
AURIN has spatially enabled the original data. The following additional changes were made:


Totals are higher than the sum of their components due to missing information in the underlying data.


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations, industrial relations not elsewhere classified
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Aboriginal Males (LGA) 2016

This dataset, released in December 2017, contains the male Aboriginal usual resident population by 5 year age groups: 0-4 years to 65+ years, 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 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: Aboriginal, HEALTH SCIENCES, INDIGENOUS STUDIES, Public health, Torres Strait Islander health, wellbeing
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - C06  1976 Usual Residence (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) 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 1976. 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 Local Government Area 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".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1976, 1981, c06, census, place of enumeration, residence, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 33.3: Proportion of Parents Satisfied with Schooling (LGA) 2013-2014

This dataset presents indicator 33.3: Percentage of parents who are satisfied with the level of education their child receives from their school. The data covers the years of 2013-2014 and is aggregated by Local Government Areas (LGA) from the 2016 Australian Statistical Geography Standard. 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 Parent Opinion Survey.
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