AndreaBozzo/ceres-open-data-index huggingface dataset:
OpenStreetMap - Railways, Subways, Trams, Lifts, and Cable Cars - 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 Railways, Subways, Trams, Lifts, and Cable Cars 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
LGA15 Index of Relative Socio-economic Disadvantage, Min & Max SA1 Scores - 2011

The Index of Relative Socio-economic Disadvantage (ISRD) has a base of 1000 for Australia: scores above 1000 indicate a relative lack of disadvantage and those below 1000 indicate relatively greater disadvantage. This data set highlights minumum and maximum scores of the Statistical Areas Level 1, in a given Local Government Area (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia).
Data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries).  For further information on the IRSD refer to: http://www.abs.gov.au/.
 Note: The LGA data were re-produced from the ABS originals. Data for other geographic levels were constructed using population weighted averages, based on the published ABS SA2 data.
 Source: Compiled by PHIDU based on ABS Socio-economic Indexes for Areas (SEIFA), 2011 data.

Tags: index of relative socio-economic disadvantage, irsd, lga profile 2015, phidu, public health information development unit, summary measure of disadvantage, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
ABS - Jobs In Australia - Employee Jobs and Income by Industry (SA4) 2017-18

This dataset presents aggregated data regarding employee jobs and median employee income per job, classified by industry subdivision at Statistical Area Level 4 (SA4). The data spans over the 2017-18 financial year and is aggregated to the 2016 SA4 boundaries.
Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. An 'employee Job' refers to a job for which the occupant receives remuneration in wages, salary, payment in kind, or piece rates. This excludes self-employment jobs held by Owner-Managers of Unincorporated Enterprises (OMUE).
The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. 
For more information on the release please visit the Australian Bureau of Statistics
This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.
The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.
AURIN has spatially enabled the original data. The following additional changes were made:


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.


Total values may be higher than the sum of the published components due to this confidentialisation.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Migration and Humanitarian Program - Skill Stream (LGA) 2016

This dataset, released in October 2019, contains the statistics of the Skill stream, 2016.
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the ABS Census and Migrants Integrated Dataset, August 2016.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
AIHW - Patient Experiences - Adults who saw a GP for Urgent Medical Care (%) (PHN) 2013-2017

This dataset presents the footprint of the percentage of adults who saw a GP for urgent medical care in the preceding 12 months. The data spans the years of 2013-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables.
Please note:


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


Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.


As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion.


Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population.


Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN.


The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities).


Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings.


Rows that contain a "#" in "Interpret with Caution" indicates that the estimate has a relative standard error of 25% to 50%, which indicates a high level of sampling error relative to its value and must be taken into account when comparing this estimate with other values.


NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
PHIDU - Emergency Department Presentations (LGA) 2012-2013

This dataset, released May 2016, contains Emergency department presentations, 2012/13. 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 2012/13; and the average of the ABS Estimated Resident Population, 30June 2012 and 2013.
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
City of Melbourne CLUE Floor Space Usage (Block) 2016

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the floor space (in square metres) per city (CLUE) block, classified by their space use and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2016.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed.
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 have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2016, census, clue, floor, land, melbourne, space, use
Organization: Local Government of Victoria - City of Melbourne
SA4-based B25 Family Composition as at 2011-08-11

SA4 based data for Family Composition, for 2011 Census. Count of families and persons in families in occupied private dwellings on Census night based on place of usual residence. Includes same-sex couple families. Excludes family members temporarily absent on Census Night. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Median Age at Death: Sex (LGA) 2014-2018

This dataset, released February 2021, contains Median age at death of males, 2014 to 2018; Median age at death of females, 2014 to 2018; Median age at death of persons, 2014 to 2018;
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 2014 to 2018 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.
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-P29 Number of Motor Vehicle by Dwelling-Census 2016

LGA based data for Number of Motor Vehicles by Dwellings, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings categorised by the number of registered motor vehicles owned or used by household members. It includes company owned vehicles garaged, parked at or near private dwellings on Census night. It excludes motorbikes and scooters. 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, cars, census, dwelling, motor vehicles , p29, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G33 Tenure and Landlord Type by Dwelling Structure-Census 2016

SA4 based data for Tenure and Landlord Type by Dwelling Structure in General Community Profile (GCP), 2016 Census. Count of all occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. 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, dwelling structure, g33, gcp, general community profile, landlord type, sa4, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P14 Religious Affiliation by Sex-Census 2016

SA3 based data for Religious Affiliation by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, p14, pep, place of enumeration profile, religion, religious affiliation, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W18d Occupation by Total Personal Income (weekly) by Non-School Qualification: Level of Education-Census 2016

SA3 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification:Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Certificate I and II level $2000-$2999 Managers' - 'Level of education inadequately described Not stated Total 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, education, income, occupation, personal income, qualification, w18d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W08e Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

GCCSA based data for Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English, 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. W08 is broken up into 5 sections (W08a - W08e), this section contains 'Total Construction Total' - 'Total 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08e, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G31 Household Composition by Number of Persons Usually Resident-Census 2016

LGA based data for Household Composition by Number of Persons Usually Resident, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Comprises 'Lone person' and 'Group 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, census, g31, gcp, general community profile, household composition, lga, number of persons, persons usually resident
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G09b Country of Birth by Age by Sex-Census 2016

SA3 based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Males Ireland Age 0-4 years' - 'Males South Africa Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, age, birthplace, census, country of birth, g09b, gcp, general community profile, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2011

This dataset presents the footprint of the number of installations of small generation unit (SGU) wind systems and their rated output in kilowatts (kW). The data spans the months of 2011 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


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


Monthly installation data is provided for months where an installation was registered.


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


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


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


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
AEDC - Health Subdomain 3 (LGA) 2009-2018

This dataset contains information from the third health subdomain 'Vulnerable - Gross and fine motor skills', of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Local Government Areas (LGA) 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 Unincorp. Other Territories (LGA code 99399) were split across two records in the original data, AURIN has excluded these results from this dataset.



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