AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Jobs In Australia - Employee Jobs and Income by Industry (SA2) 2014-15

This dataset presents aggregated data regarding employee jobs and median employee income per job, classified by industry subdivision at Statistical Area Level 2 (SA2). The data spans over the 2014-15 financial year and is aggregated to the 2016 SA2 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
CER - Small-scale Installations - Solar Water Heater - Heat Pump (POA) 2017

This dataset presents the footprint of the number of installations of solar water heater (SWH) air source heat pump systems. The data spans the months of 2017 and includes a 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 small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and 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


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.


Air source heat pumps were introduced into the Small-scale Renewable Energy Scheme in 2005 as such there is no installation data available pre-2005 for this fuel source.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
PHIDU - Age Distribution - Broad Age Groups: Females (LGA) 2017

This dataset, released November 2018, contains female usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2017. 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 ABS 3235.0 Population by Age and Sex, Regions of Australia.
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
Tourism Research Australia - Top International Markets (LGA) 2013-2016

This dataset presents statistics about the top international markets for tourism to specific Local Government Areas (LGA) around Australia. The LGAs covered in the data are a subset of the LGA boundaries classified in the 2016 Australian Statistical Geography Standard (ASGS).
The data presents the top three origin countries which produce the highest number of international tourism visitors to the specified LGA. Data relating to the number of visitors and nights stayed by these visitors are provided for each of the three origin countries. The data values are representative of a yearly average based on the four years of: 2013, 2014, 2015 and 2016.
Tourism Research Australia (TRA) first developed Local Government Area tourism profiles in 2007 to assist industry and Government decision making and to identify and support investment opportunities, particularly in regional Australia. The latest profiles provide an update for over 200 Local Government Areas. Data are drawn from TRA's International Visitor Survey (IVS) and National Visitor Survey (NVS), along with demographic and business data from the Australian Bureau of Statistics (ABS). Profiles were only prepared for Local Government Areas with adequate International Visitor Survey (IVS) and National Visitor Survey (NVS) sample to present robust results. Further, data are averaged over four years, which minimises the impact of variability in estimates from year to year, and provides for more robust volume estimates.
For more information please visit the Website of the TRA.
Please note: 


AURIN has spatially enabled the original data.


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



Tags: australia, economy, industry, investment, market, opportunities, tourism, visitors
Organization: Tourism Research Australia
LGA-G47c Non-School Qualification-Field of Study by Age by Sex-Census 2016

LGA 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 'Persons Total Age 55-64 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, g47c, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W03d Status in Employment by Hours Worked by Age-Census 2016

LGA 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 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, employment, employment status, w03d, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GU URP - Vulnerability Indices for Mortgage Petroleum and Inflation Risks and Expenditure (VAMPIRE) (SA1) 2011

This dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2011. The data has been calculated for each Statistical Area Level 1 (SA1) within the Greater Capital City regions following the 2011 Australian Statistical Geography Standard (ASGS).
The VAMPIRE index developed at Griffith University's Urban Research Program provides a measure of socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the Australian Bureau of Statistics (ABS) Census Data.

Organization: Griffith University - Urban Research Program
SA3-I08 Core Activity Need for Assistance by Age by Sex for Aboriginal & Torres Strait Islander Persons-Census 2016

SA3 based data for Core Activity Need for Assistance 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 and whether they have a profound or severe disability. People with a profound or severe disability are defined as those people needing help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long-term health condition (lasting six months or more) or old age. 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, aboriginal, aboriginal torres strait islander peoples, age, atsip, census, core activity, disabled, i08, need for assistance, sex, torres strait islander
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Cancer Incidence - Females (LGA) 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 Local Government Area (LGA) 2016 geographic boundaries.
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
City of Melbourne CLUE Employment by ANZSIC Industries (Block) 2006

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2006.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


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


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


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


Suppressed values ("-" in the original data) have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2006, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
VIC DET - VCAMS Indicators - 33.2: Percentage of Student Perception of Connectedness with Peers (LGA) 2006-2015

This dataset presents indicator 33.2: Percentage of students who feel socially connected and get along with their peers. The data covers the years of 2006-2015 and is aggregated by Local Government Areas (LGA) from the 2016 Australian Statistical Geography Standard. This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the Student Attitudes to School Survey.
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
SA1-P16a Highest Year of School Completed by Age by Sex-Census 2016

SA1 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 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, education, highest year of schooling, p16a, pep, place of enumeration profile, sa1, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W17e Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

GCCSA 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 'Sales workers Negative Nil income Number of hours worked None' - 'Machinery operators and drivers $300-$399 Number of hours worked 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, income, occupation, personal income, w17e, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G44b Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

GCCSA based data for Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. Comprises couple families with both parents present at their usual residence on Census Night. Excludes same-sex couples. G44 is broken up into 6 sections (G44a - G44f), this section contains 'Dependent children Aged 5-9 years Female parent Total Employed Male Parent Total Labour Force' - 'Dependent children Aged 10-12 years Female parent Not in the labour force Male parent Employed Hours worked not stated'. 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, dependent children, family, g44b, gcp, general community profile, labour force, parents, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P23b Relationship in Household by Age by Sex-Census 2016

SA1 based data for Relationship in Household by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Other non-classifiable' households.  Includes same sex couples. P23 is broken up into 2 sections (P23a - P23b), this section contains 'Females Unrelated individual living in family household Age 15-24 years' - 'Person Total Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, composition, household, p23b, pep, place of enumeration profile, relationship, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P36 Dwelling Structure by Number of Bedrooms-Census 2016

GCCSA based data for Dwelling Structure by Number of Bedrooms, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. 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, dwelling, house size, number of bedrooms, p36, pep, place of enumeration profile, structure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - Broad Age Groups: Persons (LGA) 2016

This dataset, released December 2017, contains the total usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 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 ABS 3235.0 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
SA1-G46b Non-School Qualification-Level of Education by Age by Sex-Census 2016

SA1 based data for Non-School Qualification: Level of Education 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). Excludes schooling up to year 12. G46 is broken up into two sections (G46a-G46b) this section contains 'Persons Postgraduate Degree Level Age 35-44 years' - 'Persons Total Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, education, g46b, gcp, general community profile, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G49c Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Occupation by Sex, in General Community Profile (GCP), 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). G49 is broken up into three sections (G49a-G49c) this section contains 'Persons Advanced Diploma and Diploma Advanced Diploma and Associate Degree Level Occupation Managers' - 'Persons 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, g49c, gcp, general community profile, non-school, occupation, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics