AndreaBozzo/ceres-open-data-index huggingface dataset:
SA4-G49c Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

SA4 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 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, education, g49c, gcp, general community profile, non-school, occupation, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
QLD DOH - Mental Health Activity Data Collection - Distinct Consumers (SA2) Jan 2013 - Jun 2015

This datasets presents the Mental Health Activity Data Collection (MHADC) data regarding the number of distinct consumers per month by the Australian Statistical Geography Standard (ASGS) 2011 Statistical Area Level 2 (SA2) boundaries for monthly periods between January 2013 and June 2015.
For more information please visit the Queensland Government Open Data Portal.
Please note: 

AURIN has spatially enabled this data. Data made available to you through a AURIN-QCIF-RIDL collaboration.


Tags: health
Organization: Government of Queensland - Department of Health
GCCSA-P04b Age by Sex-Census 2016

GCCSA based data for Age By Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. P04 is broken up into two sections (P04a and P04b), this section covers 'Age years 55 Persons' - 'Total Persons'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, p04b, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G06 Social Marital Status by Age by Sex-Census 2016

SA4 based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. 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, g06, marital status, sa4, sex, social
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P02 Selected Medians and Averages-Census 2016

GCCSA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, averages, census, medians, p02, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 33.1: Average Number of Days Absent by Primary and Secondary Students (LGA) 2013

This dataset presents indicator 33.1: Average number of days absent per full-time equivalent (FTE) student for government primary and secondary schools. The data covers the year of 2013 and is aggregated by 2015 Local Government Areas (LGA). 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 CASES21 Government School Administration System.
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
LGA15 Male Age Distribution-Broad Age Groups - 2015

The number of Males in broad age groups (0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years) and their proportion of the total Male population, 2015 (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). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). 
 Source: Compiled by PHIDU based on the (Australian Bureau of Statistics (ABS) Estimated Resident Population, 30 June 2015.

Tags: age distribution, broad, lga profile 2015, male, phidu, population, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-I03b Age by Indigenous Status by sex-Census 2016

SA3 based data for Age By Indigenous Status By Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons in single year age brackets up to 24 years of age and 5 year age brackets up to 65 years and over. I03 is broken up into three sections (I03a and I03c), this section covers ‘Age years 14 Indigenous status not stated Persons’ - ‘Age years 40-44 years Non-Indigenous Males’. 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 torres strait islander peoples, age, atsip, census, i03b, indigenous status, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Queensland Picnic and Camping Areas (Points) 2015

This dataset describes the position and names of Recreational Points within the State of Queensland. Recreational points include: camping grounds and picnic areas.The location of the features was sourced from existing government topographic maps, regional maps and photogrammetric data. The features were validated against current orthophotography and satellite imagery and modified where necessary. Features for ongoing data capture are sourced from government and community websites and National Park maps and their location is digitized from current orthophotography and satellite imagery. Additional data is supplied by Geoscience Australia as part of their 25K large scale data capture and commitment to the National Topographic Information Coordination Initiative (NTICI). In most cases these features have been identified through fieldwork by Geoscience Australia staff.

Tags: Brisbane, Queensland, camping, picnic, recreation
Organization: Government of Queensland - Department of Natural Resources and Mines
SA3-W17f Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA3 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 'Machinery operators and drivers $400-$499 Number of hours worked None' - 'Labourers $800-$999 Number of hours worked 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, income, occupation, personal income, w17f, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Indigenous Health Check Medicare Benefits Scheme (MBS) Item 715 (PHN) 2012-2016

This dataset presents the footprint of the number and rate of Indigenous people who had a Medicare Benefits Scheme (MBS) item 715 health assessment by client location. The data spans the financial years 2012-2016 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 Department of Health - Medicare Benefits Schedule data, which is a listing of Medicare services that are subsidised by the Australian Government. It is part of the Medicare program, managed by the Department of Health and administered by the Department of Human Services. Through the Medicare program, all Australian residents and certain categories of visitors to Australia are entitled to benefits for medical and hospital services. These benefits are based on fees determined for each service provided. These services are itemised, forming the schedule of fees. Statistics on each item are collected when benefits are claimed.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Indigenous health check (MBS 715) Data Tables.
Please note:


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


Differences in usage rates across geographic levels should be interpreted with caution because the use of MBS 715 health checks is influenced by a number of factors which may vary by geographic areas.


The Department of Human Services occasionally suppresses data for some geographical areas smaller than states and territories to ensure patient and provider confidentiality.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - E22 Industry By Occupation (SLA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to industry by occupation. Counts are of employed 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, census, community, e22, ecp, employment, expanded, industry occupation, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G49a Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

GCCSA 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 'Males Postgraduate Degree Level Postgraduate Degree Level Not further defined Occupation Managers' - 'Females Graduate Diploma and Graduate Certificate Level Graduate Diploma and Graduate Certificate Level Not further defined 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, education, g49a, gcp, general community profile, non-school, occupation, qulaification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G04b Age by Sex 56 to 100 plus years-Census 2016

SA1 based data for Age By Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G04 is broken up into two sections (G04a and G04b), this section covers counts of males, females and persons in both 1 and 5 year age groups from 56 years old to 100 years and older. 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, g04b, gcp, general community profile, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Jobs In Australia - Employee Jobs (SA4) 2014-2019

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 sex, classified by Statistical Area Level 4 (SA4). The data spans from 2014-15 to 2018-19 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.
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. 

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
SD Chronic Disease - Synthetic Prediction 2007-2008

Estimates (using synthetic predictions) of chronic diseases including: mood (affective) problems for males and females, osteoarthritis, osteoporosis and rheumatoid arthritis for 2007 to 2008 by SD.

Tags: chronic disease, estimate, health, osteoarthritis, osteoporosis, rheumatoid arthritis, synthetic prediction
Organization: Torrens University Australia - Public Health Information Development Unit
City of Melbourne CLUE Offstreet Car Parking (Points) 2014

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents the number of off-street car parking spaces per property recorded in CLUE as points which represent each parking spot location. The data covers the year period of 2014.
Car parking can be classified as:


Commercial: Car parking in a publicly accessible, paid parking facility.


Residential: Car parking in a residential building or property.


Private: Car parking in a non-residential building that is provided for use by staff, customers or visitors.


For more information please visit the City of Melbourne CLUE Portal.
Please note: 


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


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


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



Tags: 2014, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
SA4-I04 Selected Medians and Averages-Census 2016

SA4 based data for Selected Medians and Averages, for 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom, household size and proportion of dwellings in need of one or more extra bedrooms. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, aboriginal torres strait islander people, atsip, averages, census, i04, medians, selected
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Prevalence of Selected Health Risk Factors - Children and Youth (PHA) 2014-2015

This dataset, released May 2017, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2014-15; Fruit consumption (children) (modelled estimates), 2014-15. 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: 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
LGA-W19b Occupation by Total Personal Income (weekly) for Students Aged 15-24 Years-Census 2016

LGA based data for Occupation by Total Personal Income (Weekly) for Students Aged 15-24 Years, in Working Population Profile (WPP), 2016 Census. Count of employed students aged 15-24 years. W19 is broken up into 4 sections (W19a - W19d), this section contains 'Part-time student $400-$499 Managers' - 'Full/Part-time student status Not stated $800-$999 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, income, occupation, personal income, students, w19b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA Estimates of Personal Income - Employee Income by Occupation and Age 2010-2015

This dataset presents aggregated values of Employee Income by Occupation and Age as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries.
This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:


Employee Income


Own Unincorporated Business Income


Investment Income


Superannuation Income


Other Income (Income not allocatable to any other categories)


Total Income (Sum of previous categories)
These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS):  Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).


For more information on the release please visit the Australian Bureau of Statistics.
Please note:


When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.


To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.


Where data is not available or not for publication, the record has been set to a null value.



Tags: ABS, ATO, Australia, aus, economy, finance, income, personal
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics