AndreaBozzo/ceres-open-data-index huggingface dataset:
SA2-G22b Unpaid Child Care by Age by Sex-Census 2016

SA2 based data for Unpaid Child Care by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night, spent time caring for a child/children (under 15 years) without pay. G22 is broken up into 2 sections (G22a - G22b), this section contains 'Persons 85 years and over Did not provide child care' - '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, child care, gcp, general community profile, sa2, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - Major Power Stations 2016

This dataset presents locations of major power stations in Australia. The major power stations were digitized in 2011 from the library of imagery held within Geoscience Australia. The power stations dataset was revised in December 2016 to reflect the most current version of the AEMO Transmission Network Diagrams. 
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, energy
Organization: Government of the Commonwealth of Australia - Geoscience Australia
SA3-W07 Industry of Employment by Year of Arrival in Australia-Census 2016

SA3 based data for Industry of Employment by Year of Arrival in Australia, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. 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, arrival in australia, census, employment, industry, industry of employment, migration, overseas, w07, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B34 Rent (Weekly) by Landlord Type as at 2011-08-11

SA3 based data for Rent by Landlord type, for 2011 Census. Count of occupied private dwellings being rented on Census night based on place of usual residence. Includes dwellings being occupied rent-free. 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
PHIDU - Emergency Department Presentations - Total (PHA) 2017-2018

This dataset, released June 2020, contains total Emergency department presentations by principal diagnosis, 2017/18. Presentations include Total presentations; Total presentations for certain infectious and parasitic diseases; Total presentations for mental and behavioural disorders; Total presentations for diseases of the circulatory system; Total presentations for diseases of the respiratory system; Total presentations for diseases of the digestive system; Total presentations for diseases of the musculoskeletal system and connective tissue; Total presentations for diseases of the genitourinary system; Total presentations for injury, poisoning and certain other consequences of external causes; Total presentations for factors influencing health status and contact with health services; Total presentations for other diseases/ conditions.
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 State and Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 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
SA3-based B43D Industry of Employment by Age by Sex as at 2011-08-11

SA3 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over 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
GCCSA-I14b Selected Labour Force, Education and Migration Characteristics by Indigenous Status by Sex-Census 2016

GCCSA 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 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 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
TERN Weekly Pollen Count - Rocklea, Brisbane, Queensland 1994-1999

The datafile, published by the Terrestrial Ecosystem Research Network (TERN) contains the composition and abundance of airborne pollen in the suburb of Rocklea, Brisbane, Queensland, Australia. The data was collected for the period between June 1994 to May 1999 as part of a research program that assessed pollen bioaerosols and relationships with meteorological parameters (see Green BJ, Dettmann M, Rutherford S, Simpson RW [2002]. Airborne pollen of Brisbane, Australia: a five-year pollen record, 1994-1999. Grana 41(4):242-250.). 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 seven-day Hirst-type volumetric pollen and spore trap and the instrument’s orifice elevated 2m above ground level. Several periods of motorized trap breakdown were experienced, but these were usually brief and accounted for a total of 117 days during the entire sampling period. The trap was calibrated to sample air at ten litres per minute and pollen was deposited onto tapes coated with a thin film of Dow Corning pressure-sensitive silicone adhesive (280A). The seven-day tapes were cut into daily lengths and mounted in Carberla’s solution on glass microscope slides. The entire surface area of each tape was scanned at magnifications of x250 using north +- south traverses and the pollen counts then converted to correspond to grains per m3 air as a daily mean value. The data is summed to provide an average weekly pollen count. Pollen identification was aided by reference to photomicrographs provided by Moss (1965), Grant Smith (1990), and Hjelmroos et al. (1999).
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, brisbane, environement, health, pollen
Organization: Terrestrial Ecosystem Research Network
SA1-based B09 Country of Birth of Person by Sex  as at 2011-08-11

SA1 based data for Country of Birth, 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
SA3-W15a Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

SA3 based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'National Government Negative Nil income Managers' - 'State territory government $300-$399 Total'. 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, census, employer indicator, income, occupation, personal income, sector, w15a, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Ferry 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
SA4 Estimates of Personal Income - Employee Income by Age and Sex 2010-2015

This dataset presents aggregated values of Employee Income by Age and Sex 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 ASGS Statistical Area Level 4 (SA4) 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 - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Disadvantage (CD) 2006

This data is Census Collection Districts (CD) based Socio-Economic Indexes for Areas (SEIFA) Index of Disadvantage (IRSD) - focuses on low-income earners, relatively lower educational attainment, high unemployment and variables reflecting disadvantage. This data is based on the 2006 census and 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
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2010

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows business establishments with their trading name, industry (ANZSIC4) classification, location and CLUE block and small area allocation. The data covers the year period of 2010.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


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


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


AURIN has acquired the data through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2010, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
LGA-G16b Highest Year of School Completed by Age by Sex-Census 2016

LGA based data for Highest Year of School Completed by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. G16 is broken up into 2 sections (G16a - G16b), this section contains 'Persons Year 8 or below Age 15-19 years' - 'Persons Total Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, education, g16b, gcp, general community profile, highest year of schooling, lga, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W01a Labour Force Status by Age by Sex-Census 2016

LGA based data for Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. 'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. 'Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night. W01 is broken up into 2 sections (W01a - W01b), this section contains 'Males 15-19 years Employed Worked full time' - 'Persons 70-74 years Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, labour force, w01a, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AEDC - Language and Cognitive Skills (SA3) 2009-2018

This dataset contains information from the 'Language and cognitive skills (school-based)' domain of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 3 (SA3) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


AEDC results for Daly - Tiwi - West Arnhem (SA3 code 70203) and East Arnhem (SA3 code 70204) are combined in the original data. AURIN has assigned the results for these regions to the boundary of Daly - Tiwi - West Arnhem and excluded the boundary of East Arnhem from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census