AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G47a Non-School Qualification-Field of Study by Age by Sex-Census 2016

GCCSA 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 'Males Natural and Physical Sciences Age 15-24 years' - 'Females Management and Commerce Age 25-34 years'. 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 , g47a, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Mothers and Babies (LGA) 2014-2018

This dataset, released February 2021, contains mother and babies statistics relating to Low birth weight babies, 2016 to 2018; Smoking during pregnancy, 2016 to 2018; Breastfeeding (modelled estimates), 2014-15; Fully breastfed babies at 3 and 6 months, 2014-15; Children who first ate soft, semi-solid or solid food before 4 months of age, 2014-15. 
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 data from the Australian Institute of Health and Welfare, on behalf of the States and Territories.; Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.; 
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SA4-I06 Highest Year of School Completed by Indigenous Status by sex-Census 2016

SA4 based data for Highest Year of School Completed by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. 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, aboriginal torres strait islander peoples, atsip, census, education, educational attainment, highest year of schooling comnplete, i06, indigenous status, sex, students
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G50b Non-School Qualification-Level of Education by Industry of Employment by Sex-Census 2016

LGA based data for Non-School Qualification: Level of Education by Industry of Employment 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). G50 is broken up into three sections (G50a-G50c) this section contains 'Females Accommodation and food services Certificate Level' - 'Persons Education and training Postgraduate Degree Level'. 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, education, employment, g50b, gcp, general community profile, industry, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - NEXIS - Residential Building Exposure (SA1) 2017

This dataset presents information about residential building exposure in Australia from the 9th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia.
This data is aggregated by the Australian Bureau of Statistics (ABS) Statistical Area 1 (SA1) 2011 boundaries.
For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document.
AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA1 2011 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
Mobility Australia - New South Wales Yearly Trains Origin-Destination Flow (SA2) 2019

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in New South Wales (NSW), connected by public transport (PT) networks. The SA2 regions of New South Wales connected by Sydney trains (T1-T9) and Metro services (Metro North West line) 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
VCGLR -  Population Density and Gaming Expenditure (LGA) 2009 - 2010

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2009/10 financial year. The data has been joined with LGA 2006 boundaries. 
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:


AURIN has spatially enabled the original data.


EGM Numbers: a venue may be operating less machines than its licensed or attached numbers


Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).


Expenditure / EGM: Refers to the average Expenditure per Gaming Machine.


Disclaimer: Care must be taken in using any figures for an LGA involving net expenditure and population. The expenditure per person in an LGA may include an amount of expenditure coming from persons not living within the LGA.



Tags: expenditure, gambling, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
SA1-P34 Rent (Weekly) by Landlord Type-Census 2016

SA1 based data for Rent (Weekly) by Landlord Type, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings being rented. Includes dwellings being occupied rent-free. 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, census, landlord type, p34, pep, place of enumeration profile, rental, sa1, weekly rent
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P22a Unpaid Child Care by Age by Sex-Census 2016

SA1 based data for Unpaid Child Care by Age by Sex, in Place of Enumeration Profile (PEP), 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. P22 is broken up into 2 sections (P22a - P22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 45-54 years 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, child care, p22a, pep, place of enumeration profile, sa1, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P19 Voluntary Work by Age by Sex-Census 2016

SA1 based data for Voluntary Work for an Organisation or Group by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. 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, p19, pep, place of enumeration profile, sa1, sex, voluntary work, volunteer
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W13 Occupation by Sex-Census 2016

LGA based data for Occupation by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, occupation, w13, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W16b Occupation by Total Personal Income (weekly) by Age-Census 2016

GCCSA based data for Occupation by Total Personal Income (Weekly) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W16 is broken up into 8 sections (W16a - W16h), this section contains 'Professionals $650-$799 Age 25-34 years' - 'Technicians and trades workers $2000-$2999 Age 35-44 years'. 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, w16b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W01a Labour Force Status by Age by Sex-Census 2016

GCCSA 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 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, labour force, w01a, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G10b Country of Birth by Year of Arrival in Australia-Census 2016

SA4 based data for Country of Birth of Person by Year of Arrival in Australia, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G10 is broken up into 3 sections (G10a - G10c), this section contains 'Ireland Year of arrival 2011' - 'Singapore Total'. Where arrival is stated as the year 2016 it corresponds to the period 1 January 2016 to 9 August 2016. The list of countries consists of the most common Country of Birth responses (excluding Australia) reported in the 2011 Census. 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, arrival year, census, country of birth, g10b, gcp, general community profile, overseas, sa4
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CCD-B02 State of Usual Residence on Census Night by Sex-Census 1996

Census Collection District (CCD) based data for Place of Usual Residence on Census Night by Sex, in Basic Community Profile, 1996 Census. Count of all persons. People were counted in the following categories: at home on census night, visitor from same Statistical Local Area SLA, visitor from a different SLA and corresponding state visiting from, total local visitors, and overseas visitors. The data is by CCD 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b02, basic community profile, bcp, census, place of usual residence, residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA Preventable Mortality 2003-2007

Preventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.

Tags: deaths, demographic, mortality, population, preventable mortality
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - B14 Type Of Educational Institution Attending (Full-Time/Part-Time) By Sex (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 type of educational institution attending (full-time/part-time) by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by 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.

Tags: 1991, b14, basic community profile, bcp, census, education, place of enumeration, student, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P38a Non-School Qualification: Level of Education by Age by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over with a qualification (excludes overseas visitors). Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). P38 is broken up into two sections (P38a - P38b), this section contains 'Males Postgraduate Degree Level Age 15-24 years' - 'Persons Postgraduate Degree Level Age 25-34 years'. 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, census, education, non-school, p38a, pep, place of enumeration profile, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U23 Labour Force Status by Age (LGA) 1986

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

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Jobs In Australia - Employee Jobs and Income by Industry (SA2) 2018-19

This dataset presents aggregated data regarding all of the jobs within the relevant statistical regions, including the number of employee jobs and median employee income per job by industry subdivision, classified by Statistical Area Level 2 (SA2). The data spans 2018/2019 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.
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
SA4-based B18 Core Activity need for Assistance by Age by Sex as at 2011-08-11

SA4 based data for ore Activity Need For Assistance By Age by Sex, 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