AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Potentially Preventable Admissions - Chronic Conditions  (PHA) 2014-2015

This dataset, released December 2017, contains data on the number of Potentially preventable hospitalisations - Chronic conditions, 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: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf ofState and Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30June 2014 and 2015.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
AIHW - Maternity Indicators - Induction of Labour for Selected Women Giving Birth for the First Time (%) (PHN) 2012-2016

This dataset presents the footprint of the percentage of selected women who gave birth for the first time and who had labour induced. This has been calculated with the number of selected females who gave birth for the first time and who had labour induced, divided by all selected females, and multiplied by 100. The data spans the years of 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Women included are those who gave birth for the first time and met all of the following criteria:


Aged between 20 and 34.


Gestational age at birth between 37 and 41 completed weeks.


Pregnancy has one baby only (singleton).


The presentation of the baby is vertex (baby's head was at the cervix).


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 using the Department of Health - PHN Areas.


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.


Induction of labour is a set of procedures (pharmacological and/or instrumental) to start the uterus contracting and begin the process of labour.


Gestational age is a clinical measure of the duration of the pregnancy. For the NPDC gestational age is reported as completed weeks.


Data for selected women criteria, parity, were not available from Victoria for 2009.


Data for Tasmania from 2004 to 2012 were not available. For Tasmania from 2005 to 2012, presentations via caesarean births were not reported by hospitals still using paper-based form. Where a caesarean section occurred the presentation was recorded as ‘Not stated’. Presentations via caesarean births were included in the paper-based form from 1 January 2013. The year 2004 was not included in this analysis.


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
LGA-T03A Age by Registered Marital Status by Sex-Census 1996

LGA based data for Age by Registered Marital Status by Sex, in Time Series Profile, 1996 Census. Count of all persons aged 15 years and over in 1986, 1991 and 1996 census years. T03 is broken up into three sections (T03A-T03C) this section covers ‘Census 1986 - aged 15-19 married male’ - ‘Census 1986 -  total total persons’. The data is by LGA 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, age, census, marital status, marriage, registered marital status, t03a, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mothers and Babies - Women who Gave Birth and Attended 5 Or More Antenatal Visits (PHN) 2016

This dataset presents the footprint of the number and per cent of women who gave birth and attended 5 or more antenatal visits, by the mother's usual place of residence. The data spans the year of 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 Australian Institute of Health and Welfare (AIHW) National Perinatal Data Collection (NPDC). The NPDC began in 1991 and is a collaborative effort by the AIHW and state and territory health departments. Perinatal data are collected for each birth in each state and territory, usually by midwives and other birth attendants. The data are collated by the relevant state or territory health department and a standard de-identified extract is provided to the AIHW on an annual basis to form the NPDC. The NPDC covers both live births and stillbirths, where gestational age is at least 20 weeks or birth weight is at least 400 grams, except in Victoria and Western Australia, where births are included if gestational age is at least 20 weeks or, if gestation is unknown, birthweight is at least 400 grams.
The Mothers and Babies data accompanies the Australia's Mothers and Babies 2016 - In Brief Report.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Australia's Mothers and Babies 2016 Data Tables.
Please note:


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


Women who gave birth at 32 weeks or more gestation to a livebirth or a stillbirth, with known number of antenatal visits (includes women with no antenatal care).


PHN is derived from Statistical Area Level 2 (SA2) of the ABS Australian Statistical Geography Standard Edition 2011. Numbers may not sum to totals due to rounding error.


Excludes mothers not usually resident in Australia or whose SA2 of usual residence was 'Not stated'.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS - Jobs In Australia -  Owner Managers of Unincorporated Enterprises Jobs (GCCSA) 2014-2019

This dataset presents aggregated data regarding owner-managers of unincorporated enterprises(OMUE) 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 missing information in the underlying data.


Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations, industrial relations not elsewhere classified
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who are Overweight or Obese Crude (%) (PHN) 2011-2015

This dataset presents the footprint of the crude percentage of adults who are overweight or obese. Adults were classified as overweight if their Body Mass Index (BMI) was greater than or equal to 25 and less than 30, or obese if their BMI was greater than or equal to 30. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial years of 2011-2012 and 2014-2015, and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


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


The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences.


Adults are defined as persons aged 18 years and over.


Values assigned to "n.p." in the original data have been removed from the data.


Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS - ASGS Non ABS Structures - National Resources Management Regions (NRMR) 2016

This dataset is the National Resources Management Regions (NRMR) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2016.
For the original data and more information, refer to the Australian Bureau of Statistics' Issue.
The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.
The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC SV - Victorian Local Government Annual Survey - Waste and Recycling (LGA) 2010/11

This dataset presents the Victorian Local Government Annual Survey conducted by Sustainability Victoria. The survey assesses the state's delivery of kerbside waste management and recycling services by Local Governments to Victoria's households for the 2010-2011 financial year. 
For more information, please visit: The Victorian Local Government Annual Survey 2010-2011 Report.

Tags: environment, green space, recycling, survey, vegetation, waste
Organization: Government of Victoria - Sustainability Victoria
SA3 Estimates of Personal Income - Employee Income by Age and Sex 2010-2015

This dataset presents aggregated values of Employee Income by Age and Sex 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 ASGS Statistical Area Level 3 (SA3) 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
GCCSA-P12a Proficiency in Spoken Eng by Parents by Age of Dependent Children-Census 2016

GCCSA based data for Proficiency in Spoken English of Parents by Age of Dependent Children, in Place of Enumeration Profile (PEP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years, who were present in the household on Census Night. Excludes same-sex couples. Excludes couple families where the husband/wife or de facto partner was temporarily absent on Census Night. P12 is broken up into 2 sections (P12a - P12b), this section contains 'Child 0-4 years female parent Speaks English only male parent Speaks English only' - 'Child 15-17 years female parent Speaks English only male parent Speaks other language and Proficiency in English not stated'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, child age, dependent children, english language, english proficiency, p12a, parents, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - Major Desalination Plants 2012

This dataset presents locations of major desalination plants in Australia. The major desalination plants dataset was digitized in 2012 from aerial photography, orthophotos and satellite imagery held within Geoscience Australia. The primary information sources used to identify and locate the desalination plants was owner/operator and government websites. 
For more information please visit the Geoscience Australia Web Service Portal.
Please note: 

This dataset is a snapshot of Geoscience Australia's web service dataset as on 2019-02-15


Tags: built, infrastructure
Organization: Government of the Commonwealth of Australia - Geoscience Australia
PHIDU - Admissions - Hospital Types and Sex (PHA) 2017-2018

This dataset, released June 2020, contains data relating to hospital admissions by hospital type and sex, 2017/18.
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 State and Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 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
PHIDU - Labour Force (PHN) 2016

This dataset, released December 2017, contains statistics about the labour force relating to Unemployment, June 2016; Labour force participation, June 2016; Female labour force participation, 2016. 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 based on the Small Area Labour Markets - Australia, Department of Employment, June Quarter 2016; and the ABS Census of Population and Housing, August 2016.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-G42 Place of Usual Residence 5 Years Ago by Sex-Census 2016

SA3 based data for Place of Usual Residence 5 Years Ago by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 5 years and over. 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, 5 years ago, census, g42, gcp, general community profile, past residence, residence, sex, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Chronic Kidney Disease (CKD) - Hospitalisations - Excluding Dialysis by Sex and Age (PHA) 2012-2015

This dataset presents the statistics of hospitalisations with a principal diagnosis associated with chronic kidney disease (CKD) excluding principal diagnosis of dialysis distributed by sex and age for the years between 2012-2015. The data is and is aggregated to the 2011 Public Health Information Development Unit (PHIDU) Population Health Areas (PHA), based on the 2011 Australian Statistical Geography Standard (ASGS).
The CKD datasets were released by the Australian Institute of Health and Welfare (AIHW) to present data on prevalence, treatment (hospitalisations for CKD and dialysis) and deaths. It shows the distribution of the impact of CKD across Australia and visualises rates of CKD and the health and demographic profile for local areas.
The data was modelled by the AIHW from The National Hospital Morbidity Database (NHMD) which is compiled from data supplied by the state and territories. Hospitalisation counts are counts of admitted patient episodes of care not individual patients, and would include multiple hospitalisations experienced by the same individual if the individual had more than one hospitalisation for CKD in the given time period.
For further information about this dataset, please visit:


AIHW Geographical variation in chronic kidney disease data.


AIHW Geographical variation in chronic kidney disease report.


Please note:


AURIN has spatially enabled the original data using the PHIDU - PHAs.


Where data has not been published due to small numbers, "n.p." in the original data, the value has been set to null.


Where values have been identified to have a relative root mean square error (RRMSE), a new column has been added where "*" presents an RRMSE between 25% and 50%. This data should be used with caution.


These counts do not include home dialysis services received by patients and dialysis treatment completed in Emergency Department before their hospital admission.



Tags: AIHW, dialysis, disease, health, hospitalisation, kidney, mortality, pha, population, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare