AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Admissions - Principal Diagnosis: Males  (PHN) 2017-2018

This dataset, released June 2020, contains data relating to male 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 Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
ABS - Jobs In Australia - All Jobs (SA3) 2011-2018

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 3 (SA3). The data spans from 2011-12 to 2017-18 financial year and is aggregated to the 2016 SA3 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
GCCSA-G09h Country of Birth by Age by Sex-Census 2016

GCCSA based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Persons Papua New Guinea Age 0-4 years' - 'Persons Total Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09h, gccsa, gcp, general community profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 30.1: Proportion of Children with Concerning Vision (LGA) 2009-2013

This dataset presents indicator 30.1: Proportion of children entering primary school whose parents report concerns about their vision. The data covers the years of 2009-2013 and is aggregated by Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). 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 School Entrant Health Questionnaire (SEHQ).
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
ABS Census - E29 Family Type By Number Of Dependent Offspring (Usually Resident) By Annual Parental Income (LGA) 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 Local Government Areas (LGA) in Australia. 
This table contains data relating to family type by number of dependent offspring (usually resident) by annual parental income. Counts are of families with offspring, 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 LGA 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.
Please note:


(a) A maximum of 3 temporarily absent dependent offspring can be counted in each household.


(b) Comprises two parent families where a parent present did not state their income or a parent was temporarily absent


(c) Comprises cases where in a two parent family, both parents did not state their income or were temporarily absent; or in a one parent family, the parent did not state his/her income or was temporarily absent.



Tags: 1991, census, community, e29, ecp, expanded, family, income, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy for Women who Gave Birth (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of women who gave birth and reported smoking tobacco after the first 20 weeks of pregnancy and reported smoking at any time during pregnancy, by the mother's usual residence. This has been calculated with the number of females who gave birth and reported smoking after the first 20 weeks of pregnancy, divided by the total number of females who gave birth and reported smoking during pregnancy, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


AURIN has spatially enabled the original data.


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Smoking refers to the use of cigarettes or inhaled tobacco.


Data excludes mothers whose smoking status was not stated.


Smoking during pregnancy is self-reported smoking of tobacco.


Because of differences in definitions and methods used for data collection, care must be taken when comparing across jursidictions.


Data for Statistical Local Area Level 3 (SA3) of mother's usual residence reported using a 3 year aggregate, 2014-2016.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - B03 State And Statistical Local Area Of Usual Residence 5 Years Ago By Sex (CD) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Census Collection Districts (CD) in Australia. 
This table contains data relating to state and statistical local area of usual residence 5 years ago by sex. Counts are of persons aged 5 years or more counted at home on census night, excludes visitors, and usual residents who were absent on census night. The data is by CD 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 extracted from CDATA91 which was supplied to AURIN by the University of Melbourne. 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, b03, basic community profile, bcp, census, home, location 5 years ago, place of enumeration, usual residents
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B42B Labour Force Status by Age by Sex as at 2011-08-11

LGA11 based data for Labour Force Status by Age by Sex, for 2011 Census. Count of persons aged 15 years and over 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
SA3-P17b Total Personal Weekly Income by Age by Sex-Census 2016

SA3 based data for Total Personal Income (Weekly) by Age by Sex, in Place of Enemeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. P17 is broken up into 3 sections (P17a - P17c), this section contains 'Females $300-$399 Age 15-19 years' - 'Persons $500-$649 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, age, census, p17b, pep, personal income, place of enumeration profile, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W07 Industry of Employment by Year of Arrival in Australia-Census 2016

SA2 based data for Industry of Employment by Year of Arrival in Australia, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. 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, arrival in australia, census, employment, industry, industry of employment, migration, overseas, w07, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P03 Place of Usual Residence on Census Night by Age-Census 2016

SA4 based data for Place of Usual Residence on Census Night by Age, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. People were counted in the following categories: at home on census night, visitor from same SA2, visitor from a different SA2 and corresponding state visiting, total visitors and overseas visitors. 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, p03, pep, place of enumeration profile, place of residence, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P41b Industry of Employment by Age by Sex-Census 2016

SA4 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 Total Age 15-19 years' - 'Females Other services 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: age, employment, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Personal Income - Employee Income (LGA) 2011-2018

This dataset presents information about employee income. The data covers the financial years 2011-12 to 2017-18, and is based on Local Government Areas (LGA) according to the 2018 edition of the Australian Statistical Geography Standard (ASGS).
Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR).
All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.
The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.
Please note:


All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.


To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. 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. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.


Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.


For further information please visit the Australian Bureau of Statistics.
AURIN has made the following changes to the original data:


Spatially enabled the original data.


Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.



Tags: Demography, Economic geography , HUMAN SOCIETY, Human geography, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P15 Type of Educational Institute Attending by Sex-Census 2016

SA3 based data for Educational Institution Attending (Full/Part Time Students Status by Age) by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons attending an educational institution. 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, educational institution, p15, pep, place of enumeration profile, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AEDC - Health Subdomain 1 (SA2) 2009-2018

This dataset contains information from the first health subdomain 'Vulnerable - Physical readiness for school day', of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has excluded these results from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
GCCSA-W22b Method of Travel to Work by Age by Sex-Census 2016

GCCSA based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Males Two methods Bus and Total 15-24 years' - 'Females Two methods Train and Bus 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, transport, travel method, w22b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W23a Labour Force Status by Type of Educational Institution Attending (Full/Part-Time Student Status) by Age-Census 2016

SA2 based data for Labour Force Status by Type of Educational Institution Attending (Full/Part-Time Student Status) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 16 years and over attending an educational institution. W23 is broken up into 2 sections (W23a - W23b), this section contains 'Employed worked Full-time Aged 16 years Technical or Further Educational Institution Full-time' - 'Employed away from work Aged 18 years Technical or Further Educational Institution Part-time'. 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, education, educational institution, labour force, student status, students, w23a, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics