AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Admissions - Principal Diagnosis: Persons  (LGA) 2016-2017

This dataset, released November 2018, contains data relating to hospital admissions during 2016-2017 by 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 and external causes. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
LGA Estimates of Personal Income - Superannuation Income 2010-2015

This dataset presents aggregated values of Superannuation Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Local Government Area (LGA) boundaries.
This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:


Employee Income


Own Unincorporated Business Income


Investment Income


Superannuation Income


Other Income (Income not allocatable to any other categories)


Total Income (Sum of previous categories)
These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS):  Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).


For more information on the release please visit the Australian Bureau of Statistics.
Please note:


When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.


To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. 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.


Where data is not available or not for publication, the record has been set to a null value.



Tags: ABS, ATO, Australia, aus, economy, finance, income, personal
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C16  Income ($) (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 on income. 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: 1981, c16, census, earnings, income, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B10B Country of Birth of Person by Year of Arrival in Australia as at 2011-08-11

SA3 based data for Year of Arrival in Australia, 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
NT DIPL - Katherine Super Tuesday Bike Counts (Points) 2017

This dataset presents information and locations related to The Super Tuesday Bike Count event in Katherine 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
Geoscape - Adelaide Buildings (Polygon) June 2022

This dataset is the June 2022 release of Geoscape Planning for a single SA2 area (Adelaide) with SA2 code (41001).
Buildings is a spatial dataset which represents Australia's built environment derived from remotely sensed imagery and aggregated data sources. The Buildings dataset has relationships with the G-NAF, Cadastre, Property and Administrative Boundaries products produced by Geoscape Australia. Users should note that these related Geoscape products are not part of Buildings.
For more information regarding Geoscape Buildings, please refer to the Data Product Description and the June 2022 Release Notes.
Please note: As per the licence for this data, the coverage area accessed by you can not be greater than a single Level 2 Statistical Area (SA2) as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN.
Buildings is a digital dataset representing buildings across Australia. Data quality and potential capture timelines will vary across Australia based on two categories, each category has been developed based on a number of factors including the probability of the occurrence of natural events (e.g. flooding), population distribution and industrial/commercial activities. Areas with a population greater than 200, or with significant industrial/commercial activity in a visual assessment have been defined as 'Urban' and all other regions have been defined as 'Rural'. This dataset has been restricted to the Adelaide SA2 by AURIN.

Tags: BUILT ENVIRONMENT AND DESIGN, Building
Organization: Geoscape
CCD-B27 Dwelling Structure by Household Type and Family Type-Census 1996

Census Collection District (CCD) based data for Dwelling Structure by Household Type and Family Type, in Basic Community Profile, 1996 Census. Count of occupied private dwellings. The data is by CCD 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b27, basic community profile, bcp, census, dwelling structure, family, household
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Same-day Renal Dialysis  (PHN) 2016-2017

This dataset, released November 2018, contains data relating to hospital admissions due to same-day renal dialysis by hospital type, 2016/17. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-W21b Method of Travel to Work by Occupation-Census 2016

LGA based data for Method of Travel to Work by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W21 is broken up into 2 sections (W21a - W21b), this section contains 'Two methods Bus and Ferry Managers' - '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, occupation, transport, travel method, w21b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E06 Birthplace (Countries) By Sex (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 birthplace (countries) by sex. Counts are of all 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.
Please note:


(a) Includes England, Scotland, Wales and Northern Ireland.


(b) Comprises Democrat People's Republic of Korea and Republic of Korea.


(c) Comprises USSR and the Baltic States other than Latvia and Ukraine.


(d) Includes 'inadequately described', 'at sea' and 'not elsewhere classified'.



Tags: 1991, birthplace, census, community, country, e06, ecp, expanded, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W16h Occupation by Total Personal Income (weekly) by Age-Census 2016

LGA based data for Occupation by Total Personal Income (Weekly) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W16 is broken up into 8 sections (W16a - W16h), this section contains 'Total $1750-$1999 Age 55-64 years' - 'Total 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, income, occupation, personal income, w16h, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Monthly Bus 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
GCCSA-I09 Unpaid Assistance to a Person with a Disability by Age by Sex for Aboriginal & Torres Strait Islander Persons-Census 2016

GCCSA based data for Unpaid Assistance to a Person with a Disability 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 who in the two weeks prior to Census night spent time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition or problems related to old age. This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include work done through a voluntary organisation or group. 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, aboriginal, aboriginal torres strait islander peoples, age, atsip, census, disabled, i09, sex, torres strait islander, unpaid assistance
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E27 Annual Household Income By Household Type (SLA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to annual household income by household type. Counts are of family, group and lone person households, based on place of enumeration on census night which excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Comprises households where at least one, but not all, member(s) aged 15 years or more did not state an income and /or at least one spouse, offspring, or co-tenant was temporarily absent.


(b) Comprises households where no members present stated an income.



Tags: 1991, census, community, e27, ecp, expanded, family, income, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U29 Occupation by Status of Worker (LGA) 1986

Local Government Area (LGA) based data for Occupation by Status of Worker, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SLA) 2006

This data is Statistical Local Areas (SLA) based Socio-Economic Indexes for Areas (SEIFA) Index of Economic Resources (IER) - This index includes variables that are associated with economic resources. Variables include rent paid, income by family type, mortgage payments, and rental properties, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries.
The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables.
All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values.
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.Please note: 

AURIN has spatially enabled the original data following the 2006 ASGC.


Tags: seifa
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics