AndreaBozzo/ceres-open-data-index huggingface dataset:
SA4 Estimates of Personal Income - Own Unincorporated Income 2010-2015

This dataset presents aggregated values of Own Unincorporated Business Income 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 Statistical Area Level 4 (SA4) 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 As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded.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
LGA-P08 Ancestry by Country of Birth of Parents-Census 2016

LGA based data for Ancestry by Country of Birth of Parents, in Place of Enumeration Profile (PEP), 2016 Census. Count of responses and persons (excluding overseas visitors) in the following categories with corresponding ancestry: both parents born overseas, father born overseas, mother born overseas, both parents born in Australia, parents birthplace not stated. The list of ancestries consists of the most common 30 Ancestry responses reported in the 2011 Census. This is a multi-response dataset and therefore the total responses count will not equal the total persons count. If two responses from one person are categorised in the 'Other' category only one response is counted. If either or both parents birthplace is not stated then a single response is tallied in the 'not stated' category. 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, ancestry, birthplace, census, country of birth, p08, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W05a Status in Employment by Country of Birth of Person by Sex-Census 2016

SA4 based data for Status in Employment by Country of Birth of Person by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W05 is broken up into 4 sections (W05a - W05d), this section contains 'Males Australia Employee' - 'Males United States of America Owner managers of incorporated enterprises'. 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, birthplace, census, country of birth, employment, employment status, w05a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G17b Total Personal Weekly Income by Age by Sex-Census 2016

SA2 based data for Total Personal Income (Weekly) by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. G17 is broken up into 3 sections (G17a - G17c), this section contains 'Females $400-$499 Age 15-19 years' - 'Persons $800-$999 Total'.The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, g17b, gcp, general community profile, personal income, sa2, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P41a Industry of Employment by Age by Sex-Census 2016

SA1 based data for Industry of Employment by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P41 is broken up into four sections (P41a - P41d), this section contains 'Males Agriculture forestry and fishing Age 15-19 years' - 'Males Inadequately described Not stated 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, employment, industry, p41a, pep, place of enumeration profile, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Principal Diagnosis: Persons  (PHA) 2017-2018

This dataset, released June 2020, contains data relating to hospital admissions during 2017-2018 by a principal diagnosis of Parasitic disease, cancer, Blood-organ disease, metabolic disease, mental health disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations, pregnancies and external causes. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 30 June 2018.
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-G56a Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families-Census 2016

LGA based data for Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of one parent families. '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 or who did not state their number of hours worked. G56 is broken up into two sections (G56a-G56b) this section contains 'Negative Nil income Employed Worked Full-time' - 'All incomes not stated Employed Worked Part-time'. 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, children, family, family income, g56a, gcp, general community profile, income, labour force, one parent family, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Males (LGA) 2019

This dataset, released September 2020, contains male estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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, 30 June 2019. 
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 Business Establishments Names and Industries (Point) 2007

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows business establishments with their trading name, industry (ANZSIC4) classification, location and CLUE block and small area allocation. The data covers the year period of 2007.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).


Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has 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: 2007, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
SA3-G35 Mortgage Repayment (Monthly) by Family Composition-Census 2016

SA3 based data for Mortgage Repayment (Monthly) by Family Composition, in General Community Profile (GCP), 2016 Census. Count of families in occupied private dwellings being purchased. Mortgage repayments are derived from responses to a number of questions and records the amount of money spent monthly paying off a mortgage. Includes dwellings being purchased under a shared equity scheme. Excludes 'Lone person', 'Group', 'Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. Includes families that also have dependent students and non-dependent children. 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, family composition, g35, gcp, general community profile, monthly repayment, mortgage repayment, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Child and Youth Health (PHA) 2011-2016

This dataset, released July 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2015; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; Infant deaths, 2011 to 2015; Child mortality: Deaths of children aged 1 to 4 years, 2011 to 2015; Youth mortality: Deaths of persons aged 15 to 24 years, 2011 to 2015. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2015;  the National HPV Vaccination Program Register (NHVPR), February 2018; the ABS Census Estimated Resident Population (ERP) 2015; and deaths data based on the 2011 to 2015 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System.
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
SA2-G24 Number of Children Ever Born by Age of Parent-Census 2016

SA2 based data for Number of Children Ever Born, in General Community Profile (GCP), 2016 Census. Count of females aged 15 years and over, categorised by the number of children they have given birth to. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, birth, census, children, g24, gcp, general community profile, number of children, sa2
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Jobs In Australia - All Jobs (GCCSA) 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 Greater Capital City Statistical Area (GCCSA). The data spans from 2014-15 to 2018-19 financial year and is aggregated to the 2016 GCCSA 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.
AURIN has spatially enabled the original data.The following additional changes were made:

Totals are higher than the sum of their components due to data which could not be classified to component characteristics.


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-P10c 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 Place of Enumeration Profile (PEP), 2016 Census. Count of persons born overseas (excludes overseas visitors). P10 is broken up into 3 sections (P10a - P10c), this section contains 'South Africa Year of arrival Before 1946' - 'Total 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, birthplace, census, country of birth, p10c, pep, place of enumeration profile, year of arrival
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Male Age Distribution - 2015

The number of Males in 5 year groups: 0-4 years to 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, lga profile 2015, male population, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-QLD Early Childhood Education/Care Enrolments by Service 2014

SA2 based data for the number of Early Childhood Education/Care Enrollments by Service type in Queensland, 2014. The information is based on the Early Childhood Education and Care Service Census collected by the Queensland Government Department of Education and Training. Early Childhood Education and Care (ECEC) services are provided to children aged 0 to 12 in the forms of:


long day care


kindergarten


limited hours care/occasional care


pre-prep


eKindy


outside school hours care


family day care


vacation care access
The department also provides special education programs to a small number of children with disabilities around the state. 
This data is by SA2 2011 boundaries.
For more information visit the Queensland Government Department of Education and Training.



Tags: 2014, care, early childhood, education, enrollments, qld, queensland, sa2, service
Organization: Government of Queensland - Department of Education and Training
SA2-W13 Occupation by Sex-Census 2016

SA2 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 SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, occupation, w13, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Principal Diagnosis - External Cause: Persons  (PHA) 2017-2018

This dataset, released June 2020, contains data related to hospital admissions during 2017-2018 by a principal diagnosis of injury or poisoning, by an external cause. The causes include transport crash injury, accidental poisoning, falls, injury due to exposure to inanimate or animate mechanical forces, intentional self-harm, assault and some other diagnosis of injury or poisoning(by external cause). This includes data for both Public hospitals and All hospitals. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 30 June 2018.
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