AndreaBozzo/ceres-open-data-index huggingface dataset:
SA2-G51d Industry of Employment by Age by Sex-Census 2016

SA2 based data for Industry of Employment by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G51 is broken up into four sections (G51a-G51d) this section contains 'Persons Other services Age 15-19 years' - 'Persons 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, age, census, employment, gcp, general community profile, industry, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - School Zones - Secondary Year 10 (Polygon) 2020

This dataset presents the school zones for Secondary schools in Victoria with the Year 10 curriculum for the year of 2020.
All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria.
Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. 
The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools.
For more information please visit the Victorian Government Data Portal or the Find My School website.
Please note: 

The Victorian school zone layers can be used in conjunction with the Victorian school location layers.


Tags: education
Organization: Government of Victoria - Department of Education and Training
VCGLR -  Gaming Expenditure by Venue (Point) 2014 - 2015

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2014/15 financial year. It includes venue classification and the allocation of electronic gaming machines (EGMs) throughout Victoria.
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:


AURIN has spatially enabled the original data through joining it with gaming venue locations from the VCGLR's interactive map of Victoria's gaming venues extracted on the 8th of March 2019. Therefore venues that have either changed their trading name or cease to exist as of the 8th of March 2019 will not be included in this dataset, despite being active in the year expenditure was recorded. 


EGM Numbers: Average number of operating EGM's at the gaming venue during the month. This figure is consistent with the average entitlement applied to the EGM as per tax calculation.



Tags: expenditure, gambling, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
LGA15 Hospital Admissions - Persons - Principal Diagnostic - 2012-2013

Total hospital admissions 2012/13, excluding same-day admissions for dialysis for kidney disease and well babies who are nine days older or less. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital by principal diagnosis (infectious and parasitic diseases, all cancers, mental health related conditions, circulatory system diseases, respiratory system diseases, digestive system diseases, musculoskeletal system and connective tissue diseases, genitourinary system diseases, pregnancy and childbirth, injury, poisoning and other external causes) for Public hospitals and All hospitals (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. 
Note: Data were not available for private hospitals in Tasmania, the Northern Territory or the Australian Capital Territory. Therefore the ‘all hospitals’ data for these areas has been omitted. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30 June 2012 and 2013.

Tags: admissions, diagnostic, hospital, lga profile 2015, person, phidu, principle, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
Geoscience Australia - Onshore Gas Pipelines 2015

This dataset presents locations of onshore gas pipelines in Australia. This dataset was created using the latest pipeline datasets acquired from the States and Territories, the data was uploaded into an ArcSDE environment using Feature Manipulation Engine (FME). The process included the extraction of the themed (gas pipeline) features, and the translation of the data into a new schema created by the Built Environment &amp; Exposure Section, National Location Information Group, Geoscience Australia (GA).
For more information please visit the Geoscience Australia Web Service Portal.
Please note: 

This dataset is a snapshot of Geoscience Australia's web service dataset as on 2019-02-15


Tags: built, gas, pipeline
Organization: Government of the Commonwealth of Australia - Geoscience Australia
AIHW - Alcohol and Other Drug Treatment Services - Clients by Client Type and Age Group (%) (PHN) 2016-2017

This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by client type and age group. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report.
For further information about this dataset, please visit: 


Australian Institute of Health and Welfare - AODTS Data Tables.


Alcohol and other drug treatment services NMDS 2016-17 Quality Statement.


Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


The PHN of the client was assigned based on the reported postcode of the client using the Australian Bureau of Statistics' (ABS) Postal Area 2013 to Primary Health Network 2015 concordance file. Clients with an invalid postcode were assigned to the PHN group 'PHN Unallocated' and removed from the analysis.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
CER - Small-scale Installations - Solar Water Heater - Heat Pump (POA) 2014

This dataset presents the footprint of the number of installations of solar water heater (SWH) air source heat pump systems. The data spans the months of 2014 and includes a total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and SWH and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Air source heat pumps were introduced into the Small-scale Renewable Energy Scheme in 2005 as such there is no installation data available pre-2005 for this fuel source.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
DJSB Labour Market Data - Employment by Industry GCCSA Time Series 2013-2018

This dataset presents data on the numbers and status of employment by industries for the Greater Capital City Statistical Area (GCCSA) regions presented as a time series for August 2013, 2017 and 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
LGA-P15 Type of Educational Institute Attending by Sex-Census 2016

LGA based data for Educational Institution Attending (Full/Part Time Students Status by Age) by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons attending an educational institution. 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, education, educational institution, p15, pep, place of enumeration profile, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Monthly Rail Origin-Destination Flow (SA2) 2022

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
PHIDU - Age Distribution - Broad Age Groups: Males (PHA) 2017

This dataset, released November 2018, contains male usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2017. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia.
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
SLA Composite Indicators - Synthetic Prediction 2007-2008

People aged 18 years and over with composite health risk factors: asthma and smoking, or type 2 diabetes and overweight or obese by SLA, from 2007 to 2008.

Tags: asthma, estimates, health, obese, overweight, smoking, synthetic prediction, type 2 diabetes
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-based B03 Place of Usual Residence on Census Night by Age as at 2011-08-11

SA3 based data for Age by Sex, for 2011 Census. Count of all persons on Census night based on place of usual residence. This table counts persons where they were staying on Census Night. It also shows the number of persons who were visiting away from their usual residence on Census Night. 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
PHIDU - Age Distribution - Broad Age Groups: Persons (LGA) 2019

This dataset, released September 2020, contains usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 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
SA2-G25 Family Composition-Census 2016

SA2 based data for Family Composition, in General Community Profile (GCP), 2016 Census. Count of families and persons in families in occupied private dwellings. Excludes family members temporarily absent on Census Night. Excludes overseas visitors. 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 , composition, family, g25, gcp, general community profile, sa2
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Youth and Infant Deaths - 2010-2014

Infant deaths (12 months old or younger) and youth deaths (between 1 and 4 years of age), 2010-14 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia).  Data uses the LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/.
Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice.  The births data for 2010 to 2014 were compiled from the ABS National Regional Profile, 2010-14. The population is the ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014, the population standard is the ABS ERP for Australia, 30 June 2010 to 30 June 2014.

Tags: child health, infant deaths, lga profile 2015, phidu, public health information development unit, torrens university australia, tua, youth deaths, youth health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-I14b Selected Labour Force, Education and Migration Characteristics by Indigenous Status by Sex-Census 2016

SA3 based data for Selected Labour Force, Education and Migration Characteristics by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons. I14 is broken up into 2 sections (I14a – I14b), this section contains 'Non-school qualifications Certificate II Indigenous status not stated Persons’ - 'Migration Different address 5 years ago Total Persons’. 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, aboriginal torres strait islander peoples, atsip, census, education, i14b, indigenous status, labour force, migration, selected characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Migration and Humanitarian Program - Humanitarian Program (LGA) 2016

This dataset, released in October 2019, contains the statistics of the Humanitarian Program, 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 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
SA2-G09c Country of Birth by Age by Sex-Census 2016

SA2 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Males South Eastern Europe nfd Age 0-4 years' - 'Females Chile Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09c, gcp, general community profile, sa2, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics