AndreaBozzo/ceres-open-data-index huggingface dataset:
VCGLR -  Gaming Expenditure by Venue (Point) July 2018 - December 2018

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the first 6 months of the 2018/19 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.
Changes in trading name:


LONDON TAVERN changed name to The CAMDEN TOWN HOTEL in August 2018.


YALLOURN BOWLING CLUB changed name to NEWBOROUGH BOWLING CLUB in June 2018.


LEIGHOAK changed name to MVRC LEIGHOAK CLUB in July 2018.


CITY FAMILY HOTEL changed from Hotel to Club.


EAST MALVERN RSL ceased trading in October 2018.


CLUB TIVOLI ceased trading in Novemeber 2018.


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
SD Early Childhood Development - Australian Early Development Index 2009

The Australian Early Development Index (AEDI) provides information about how children have developed by the time they start school across five areas of early childhood development: physical health and wellbeing, social competence, emotional maturity, language and cognitive skills (schools-based), and communication skills and general knowledge. The AEDI results report on the number of children scoring in the following percentile ranges: 0 to 10th percentile (developmentally vulnerable), 11th to 25th percentile (developmentally at risk), 26th to 50th (on track lower range) and above the 50th percentile (on track higher range), by SD for 2009.

Tags: aedi, cognitive skills, communication, early childhood development, early development index, emotional maturity, language, physical health, population, social, social competence
Organization: Torrens University Australia - Public Health Information Development Unit
SA4-based B14 Religious Affiliation by Sex as at 2011-08-11

SA4 based data for Religious Affiliation by Sex, for 2011 Census. Count of all persons on Census night based on place of usual residence. 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
SA1-P30 Household Composition by Number of Persons Present on Census Night-Census 2016

SA1 based data for Household Composition by Number of Persons Present on Census Night, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. Excludes persons usually resident who were temporarily absent on Census Night. Comprises 'Lone person', 'Group', '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, census, composition, family, household, p30, pep, persons usually resisdent, place of enumeration profile, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B11B Proficiency in Spoken English/Language by Year of Arrival in Australia by Sex as at 2011-08-11

SA4 based data for Year of arrival in Australia by sex, and Proficiency in Spoken English/Language, for 2011 Census. Count of all persons on Census night based on place of usual residence. Excludes persons who did not state their country of birth. 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
SA4-I16 Labour Force Status by Age by Sex for Aboriginal and/or Torres Strait Islander Persons-Census 2016

SA4 based data for Labour Force Status by Age by Sex for Aboriginal and/or Torres Strait Islander Persons, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of Aboriginal and/or Torres Strait Islander persons aged 15 years and over. 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, aboriginal, aboriginal torres strait islander peoples, age, atsip, census, employment, i16, labour force, sex, torres strait islander, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U13 Age Of Aboriginals & Torres Strait Islanders (SLA) 1986

Statistical Local Area (SLA) based data for Age Of Aboriginals &amp; Torres Strait Islanders, 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, Torres Strait Islander, aboriginal, age, age distribution, census, indigenous, place of usual residence, u13
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DEE - Indicative Australian Urban Development Risk Model (Polygon) 2016-2026

The Indicative Australian Urban Development Risk Model (2019) predicts the risk of urban expansion for the decade 2016-2026, at a 250m cell size. It is based on extrapolating identifiable trends from 2006-2016, stratified within Australia’s 109 Significant Urban Areas and eight Greater Capital City Statistical Areas (Australian Bureau of Statistics, 2016). It has been developed, as an experimental dataset, by the Environmental Resources Information Network (ERIN), in the Commonwealth Department of the Environment and Energy, with the intent of aiding assessment of threat exposure for threatened species. Four parameters logically correlated with urban development were identified, assessed and extrapolated as individual risk values. These were then combined with equal weights in an index. Index values for all grid cells were classified into five risk classes and mapped in a spatial model which also integrates Protected Areas (minimal risk) and existing urban areas, for completeness. The model is restricted to Australia’s 109 Significant Urban Areas and eight Greater Capital City Statistical Areas.
The indicative Australian Urban Development Risk Model is based on an assumption that recent-past trends in urban expansion (i.e the transition from non-urban land use to urban land use) will continue linearly, and that parameters associated with past expansion are valid predictors of future expansion.
The model is underpinned by a conceptual logic, derived within ERIN, based on known datasets and their reasonable association with patterns of urbanisation. Specifically, ERIN predicts a higher urban development risk for non-urban locations with:


proximity to existing high urban development areas


high increasing trend in street address density


land uses evidently prone to urbanisation and


attractive geomorphology.


For more detailed information please read the Department of Energy and Environments Find Environmental Data site.

Tags: conservation, environment, national environment, urban development, urban growth
Organization: Government of the Commonwealth of Australia - Department of the Environment and Energy
PHIDU - Potentially Preventable Admissions - Chronic Conditions  (LGA) 2014-2015

This dataset, released December 2017, contains data on the number of Potentially preventable hospitalisations - Chronic conditions, 2014/15. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf ofState and Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30June 2014 and 2015.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-G38 Dwelling Structure by Number of Bedrooms-Census 2016

LGA based data for Dwelling Structure by Number of Bedrooms, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, bedrooms, census, dwelling structure, g38, gcp, lga
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
OpenStreetMap - Traffic Related - Lines (Australia) 2021

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display Traffic Related as lines within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk.
For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki.
Please note:


The original data for this dataset has been downloaded from Geofabrik on 02 December 2021.


Due to changes in tagging, previous versions of OSM may not be comparable with this release.



Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: OpenStreetMap
City of Melbourne CLUE Employment by ANZSIC Industries (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 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 2005.
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: 2005, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Population Projections Males (LGA) 2020-2030

This dataset, released February 2020, contains the male Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years.
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030..
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
AIHW - Maternity Indicators - Caesarean Section for Selected Women Giving Birth for the First Time (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of selected women giving birth for the first time who gave birth by caesarean section. This has been calculated with the number of selected females giving birth for the first time who gave birth by caesarean section, divided by all selected females, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
Women included are those who gave birth for the first time and met all of the following criteria:


Aged between 20 and 34.


Gestational age at birth between 37 and 41 completed weeks.


Pregnancy has one baby only (singleton).


The presentation of the baby is vertex (baby's head was at the cervix).


The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


AURIN has spatially enabled the original data.


A birth is defined as the event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Caesarean section is an operative procedure to remove the baby through an incision through a female's abdomen and uterus.


Gestational age is a clinical measure of the duration of the pregnancy. For the NPDC gestational age is reported as completed weeks.


Data for selected women criteria, parity, were not available from Victoria for 2009.


Data for Tasmania from 2004 to 2012 were not available. For Tasmania from 2005 to 2012, presentations via caesarean births were not reported by hospitals still using paper-based form. Where a caesarean section occurred the presentation was recorded as ‘Not stated’. Presentations via caesarean births were included in the paper-based form from 1 January 2013. The year 2004 was not included in this analysis.


Data for Statistical Local Area Level 3 (SA3) of mother's usual residence reported using a 3-year aggregate, 2014-2016.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
Tourism Research Australia - Tourism Investments (Tourism Regions) 2014

This dataset presents the total amount of investments placed in tourism facilities in Tourism Regions around Australia for the year 2014. The Tourism Regions covered in the data are from the 2014 release of the Tourism Regions from the Australian Bureau of Statistics.
Tourism Research Australia's (TRA) Tourism Region Profiles provide comprehensive supply and demand tourism data for all of Australia's 2014 tourism regions. The data includes:


Total tourism expenditure


Overnight visitors


Visitor/population ratio


Accommodation (rooms, occupancy and RevPAR)


Aviation (seats available and seat utilisation)


Tourism businesses


Tourism investment (projects and value)
For more information please visit the Website of the TRA.


Please note: 


AURIN has spatially enabled the original data.


Where data values were, "np", not published or "-", not available, in the original data, they have been set to null.


Only significant tourism investment projects valued at over $20 million are included.



Tags: australia, economy, industry, investment, market, supply, tourism
Organization: Tourism Research Australia
Mobility Australia - Queensland Monthly Rail Origin-Destination Flow (SA2) 2020

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 - Admissions - Principal Diagnosis: Males  (PHA) 2017-2018

This dataset, released June 2020, contains data relating to male hospital admissions during 2017-2018 by a principal diagnosis of Parasitic disease, cancer, Blood-organ disease, metabolic disease, mental health disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations, pregnancies 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: 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
ABS Census - U21 Occupation By Age By Sex (SLA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to occupation by age and sex. Counts are of employed persons, based on their usual place of residence; 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.

Tags: 1991, census, employment, lga, occupation, population, residence, u21, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics