AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS Census - B29 Annual Household Income (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to annual household income. Counts are of all classifiable households, excludes those dwellings which were temporarily unoccupied at the time of the census but the collector had ascertained that it was normally occupied, or the household contained only persons under 15 years of age. Counts are 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 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:


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


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



Tags: 1991, b29, basic community profile, bcp, census, earnings, household income, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W12b Industry of Employment by Occupation-Census 2016

GCCSA based data for Industry of Employment by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W12 is broken up into 2 sections (W12a - W12b), this section contains 'Total Managers' - 'Total Total'. 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, census, employment, industry, industry of employment, occupation, w12b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W17b Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Professionals $400-$499 Number of hours worked None' - 'Technicians and trades workers $800-$999 Number of hours worked Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, income, occupation, personal income, w17b, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W15d Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

SA4 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 'Private sector $2000-$2999 Managers' - 'Not stated Total Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, employer indicator, income, occupation, personal income, sector, w15d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P16b Highest Year of School Completed by Age by Sex-Census 2016

GCCSA based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Persons Year 8 or below Age 15-19 years' - 'Persons Total Total'. 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, age, census, education, highest year of schooling, p16b, pep, place of enumeration profile, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-I05a Type of Educational Institute Attending by Indigenous Status by sex-Census 2016

SA2 based data for Type of Educational Institution Attending (Full/Part Time Students Status by Age) by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons attending an educational institution.  I05 is broken up into two sections (I05a and I05b), this section covers ‘Pre-school Aboriginal and or Torres Strait Islander Males’ - ‘Type of educational institution not stated Indigenous status not stated Females’. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, aboriginal torres strait islander peoples, atsip, census, education, educational institution, i05a, indigenous status, sex, students
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Business Establishments by CLUE Industries (Block) 2008

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the number of business establishments per city (CLUE) block, classified by their CLUE industry (from ANZSIC) and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2008.
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 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.



Tags: 2008, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
SA4-G47b Non-School Qualification-Field of Study by Age by Sex-Census 2016

SA4 based data for Non-School Qualification: Field of Study by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G47 is broken up into three sections (G47a-G47c) this section contains 'Females Management and Commerce Age 35-44 years' - 'Persons Total Age 45-54 years'. 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, age, census, education, g47b, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Ookla - Network Performance - Fixed (Polygon) Q3 2021

This data set provides fixed broadband network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy.
For more information please see the Ookla Github repository or the Registry of Open Data on AWS.
Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.
AURIN has generated a subset corresponding to the intersection with the extent of Australia. It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).

Organization: Ookla
SA4-W03d Status in Employment by Hours Worked by Age-Census 2016

SA4 based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Status in employment not stated 35-39 years Number of hours worked None' - 'Total 60-64 years Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, employment, employment status, w03d, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B44 Structure Of Dwelling By Household Type By Family Type (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to structure of dwelling by household type by family type. Counts are of all classifiable households(a), 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) Excludes those dwellings which were temporarily unoccupied at the time of the census, but the collector had ascertained that it was normally occupied, or the household contained only persons under 15 years of age.


(b) Includes flats or apartments attached to houses.



Tags: 1991, b44, basic community profile, bcp, census, dwelling structure, family composition, households, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Permanent Settlers by Migration Stream (LGA) 2017

This dataset presents the number of permanent settlers in Australia by migrations streams; humanitarian, family and skilled. The data covers migrating settlers arriving between 01/01/2017 and 31/12/2017. The data has been aggregated following the 2011 Local Government Areas (LGA) with available data.
The data in your reports are sourced from the Settlement Database (SDB). Settlement Date uses a combination of either arrival date or grant date depending on where the settler was when their current SDB visa was granted. If a settler was offshore when their current SDB visa was granted then arrival date is used. If a settler was onshore when their current SDB visa was granted then visa grant date is used. SDB data is compiled from a number of sources including Department of Home Affairs, other Commonwealth agencies and service providers.
For more information please visit the Australian Government Data Portal.
Please note: 


AURIN has spatially enabled the original data.


Where the recorded number of settlers is less than 5, the data has been set to null for confidentiality.


Settlers which do not have a recorded LGA have been removed from the data.



Organization: Australian Government - Department of Social Services
PHIDU - Age Distribution - 5 Year Age Groups: Males (PHA) 2016

This dataset, released December 2017, contains male estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2016. 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 the ABS Census of Population by Age and Sex, Regions of Australia, 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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
National Pollutant Inventory - Substance Transfer (Point) 2018

This dataset presents the transfer of toxic substances or waste as points to describe the source of these substances. Transfer data presents the transport of movement of substances to a mandatory reporting transfer destination such as landfills. The data is subdivided into specific substances and transfer location types, therefore a filter for both attributes need to be used when viewing the data.
This dataset is part of the National Pollutant Inventory Data, the NPI program provides a significant amount of information about emissions to the environment.
For more information please visit the Australian Government Data Portal and the NPI.

Tags: chemical, emission, inventory, national, points, pollutant, pollution, substance, toxic, transfer
Organization: Government of the Commonwealth of Australia - Department of the Environment and Energy
NSW Heritage Register (SHR) Curtilages 12/03/2015

This dataset is a work in progress and contains the identified curtilages or boundaries of items listed on the State Heritage Register of NSW. Every item has a 'centroid' which identifies its approximate location.
When a listing on the State Heritage Register applies to a place, building, work, relic, moveable object, precinct, or land, a person must not do any of the following things without appropriate approvals:
 (a) demolish the building or work,
 (b) damage or despoil the place, precinct or land, or any part of the place, precinct or land,
 (c) move, damage or destroy the relic or moveable object,
 (d) excavate any land for the purpose of exposing or moving the relic,
 (e) carry out any development in relation to the land on which the building, work or relic is situated, the land that comprises the place, or land within the precinct,
 (f) alter the building, work, relic or moveable object,
 (g) display any notice or advertisement on the place, building, work, relic, moveable object or land, or in the precinct,
 (h) damage or destroy any tree or other vegetation on or remove any tree or other vegetation from the place, precinct or land.

Tags: NSW, New South Wales, curtilage, environment, heritage, planning, polygon
Organization: Government of New South Wales - Department of Planning and Environment
ABS - Data by Region - Economy & Industry (LGA) 2011-2019

This dataset presents data on economy and industry available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of economy and industry: Business Entries and Exists, Buildings Approvals, Residential Property Prices, Mean Household Net Worth, Patent and Trademark Applications, Insolvencies, Motor Vehicle Census, Tourist Accommodation Establishments, Agricultural Commodities, Gross Value of Agricultural Production and Industry of Employment.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:


Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2019 dataset.


Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.


Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.


Columns and rows that did not contain any values in the original data have been removed.



Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Cancer Incidence - Females (PHA) 2010-2014

This dataset, released September 2020, contains data on the female cancer incidences during 2010-2014 by Breast cancer, Colorectal Cancer, Melanoma of the skin, Lung cancer, Uterine cancer, Lymphoma cancer, Leukaemia cancer, Thyroid cancer, Ovarian cancer, Pancreatic cancer, All other cancers and All cancers combined. 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 from an analysis by the Australian Institute of Health and Welfare (AIHW) of the Australian Cancer Database (ACD) 2015. The ACD is compiled at the AIHW from cancer data provided by state and territory cancer registries: for further information on the ACD see link. 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
SA4-based B40B Non-School Qualification: Level of Education by Age by Sex as at 2011-08-11

SA4 based data for Non-School Qualification: Level of Education by Age by Sex, for 2011 Census. Count of persons aged 15 years and over with a qualification on Census night based on place of usual residence. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). 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 - Avoidable Mortality - Sex (LGA) 2011-2015

This dataset, released July 2018, contains statistics relating to Deaths from all avoidable causes for males/females/persons aged 0 to 74 years,2011-2015. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Data compiled by PHIDU from deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population at the small area level is the ABS Estimated Resident Population (ERP), 30 June 2011 to 30 June 2015, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2011 to 30 June 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