AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Potentially Preventable Admissions - Acute Conditions  (PHA) 2016-2017

This dataset, released November 2018, contains data on the number of Potentially preventable hospitalisations - Acute conditions, 2016/17. 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 2016/17; and the ABS Estimated Resident Population, 30 June 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
ABS - Deaths in Australia (GCCSA) 2012-2020

This dataset contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual residence was overseas. Deaths of Australian residents that occurred outside Australia may be registered by individual Registrars, but are not included in Australian Bureau of Statistics (ABS) death statistics.
Standardised death rates in this dataset differ from those in the ABS.Stat datasets and commentary. Standardised death rates in this dataset are averaged using data for the three years ending in the reference year. They are calculated for each calendar year and then averaged. Standardised death rates in the ABS.Stat datasets and commentary are based on death registration data for the reference year only. Null values represent data not available for publication
This dataset uses deaths and estimated resident population (ERP) for Greater Capital City Statistical Area (GCCSA) of Australia for 30 June 2012 to 2020, according to the 2016 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2012 to 2016, revised for 2017 to 2019 and preliminary for 2020, based on the 2016 Census of Population and Housing. Data has been sourced from the September 2021 release.
For more information including which ERP was used in this dataset please visit the Australian Bureau of Statistics (ABS) Explanatory Notes.
AURIN has spatially enabled the original data from the ABS with the 2016 GCCSA boundaries.

Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Child and Maternal Health Indicators - Low Birthweight Live Births (%) (SA3) 2012-2016

This dataset presents the footprint of the percentage of live births that were of low birthweight from Aboriginal and Torres Strait Islander mothers. The data spans every two years between 2012-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of low birthweight liveborn singleton babies, and the denominator as the total number of live births.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.
Please note:


AURIN has spatially enabled the original data.


This dataset uses the World Health Organisation (WHO) definition of a low birthweight baby as weighing less than 2,500 grams.


Data at the area level exclude births to Australian non-residents and women who could not be allocated because their usual residence was not stated or was not valid.


Multiple births and stillbirths have been excluded.


Percentage for an area are suppressed for publication and marked as 'NP' if the total number of liveborn singleton babies for the area is less than 100.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA15 Personal and Financial Stressors - 2014

People aged 18 years and over who experienced financial stress in 2014 according to the following categories: household could raise $2,000 within a week, government support as their main source of income in the last 24 months, and government support as their main source of income for 13 months or more in the last 24 months (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). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/.
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.

Tags: financial stress, government support, lga profile 2015, personal stress, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
DJSB Labour Market Data - Population by Labour Force Status GCCSA 2018

This dataset presents data on the population of a region by their labour force status, this dataset covers the Greater Capital City Statistical Area (GCCSA) regions as of August 2018. The boundaries for this dataset follow the 2011 edition of the Australian Statistical Geography Standard (ASGS).
The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.
Please note: 


AURIN has spatially enabled the original data.


Data Source: ABS Labour Force Survey, 12 month average.



Tags: abs, business, economy, employment, jobs, labour market, market, paticipation, services, unemployment
Organization: Government of the Commonwealth of Australia - Department of Jobs and Small Businesses
GCCSA-I05b Type of Educational Institute Attending by Indigenous Status by sex-Census 2016

GCCSA based data for Type of Educational Institution Attending (Full/Part Time Students Status by Age) by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons attending an educational institution.  I05 is broken up into two sections (I05a and I05b), this section covers ‘Type of educational institution not stated Indigenous status not stated Persons’ - ‘Total 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, aboriginal torres strait islander peoples, atsip, census, education, educational institution, i05b, indigenous status, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W10a Industry of Employment by Owner Managers by Number of Employees-Census 2016

LGA based data for Industry of Employment by Owner Managers By Number of Employees, in Working Population Profile (WPP), 2016 Census. Count of owner managers of enterprises. Records the number of employees (in ranges) employed by owner managers (excluding the owner managers themselves). W10 is broken up into 2 sections (W10a - W10b), this section contains 'Incorporated enterprises Agriculture forestry and fishing Owner managers of enterprises with Nil employees' - 'Unincorporated enterprises Other services 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, employees, employment, industry, industry of employment, manager, number of employees, owner, w10a, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W23b Labour Force Status by Type of Educational Institution Attending (Full/Part-Time Student Status) by Age-Census 2016

SA4 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 away from work Aged 18 years Technical or Further Educational Institution Not stated' - 'Total 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, educational institution, labour force, student status, students, w23b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Regional Internal Migration Estimates (SA4) 2007-2016

This dataset presents the estimates of the internal migration statistics of Australia by Statistical Areas Level 4 (SA4) following the 2011 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2006-07 financial year up to the 2015-16 financial year.
Regional internal migration is the movement of people from one region to another within Australia (both interstate and intrastate). For example, it incorporates moves from a Statistical Area Level 4 (SA4) to any other SA4 within the country. Net regional internal migration is the net gain or loss of population through this movement.
The ABS has developed a new series of annual regional internal migration estimates (RIME) based on the 2011 edition of the Australian Statistical Geography Standard (ASGS). The Medicare and Defence data used for estimating interstate migration is now also used to estimate internal migration below the state/territory level. However, as Medicare and Defence change of address counts are supplied to the ABS by postcode a method was developed to convert these counts to SA4, the base spatial unit of the ASGS. The method used correspondences to convert to SA4, and adjustments were applied to account for known deficiencies in the Medicare and Defence data. A similar method was used to prepare RIME at the LGA level, based on 2011 boundaries.
This data is Australian Bureau of Statistics (ABS) data (catalogue number: 3412.0) used with permission from the ABS.
For more information please visit the ABS Explanatory Notes.
Please note: RIME are not directly comparable with estimated resident populations (ERPs) because of the different methods and source data used to prepare each series. The combination of natural increase and net migration (internal and overseas) therefore may not correspond with change in ERP. AURIN has spatially enabled the original data.

Tags: Demography, HUMAN SOCIETY, Migration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Social and Economic Indicators - Marital Status SA2 2016

This dataset presents the marital status of the population by sex in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
This indicator is the number and proportion of people in each of the Registered Marital Status (MSTP) categories by sex.
All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying.
For more information please view the NATSEM Technical Report.
Please note: 


AURIN has spatially enabled the original data provided directly from NATSEM.


Where data values are NULL, the data is either unpublished or not applicable mathematically.


The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.


Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.



Tags: Australia, economic, indicators, marriage status, model, sa2, social, socio economic
Organization: University of Canberra - National Centre for Social and Economic Modelling
SA4-G52a Industry of Employment by Hours Worked by Sex-Census 2016

SA4 based data for Industry of Employment by Hours Worked by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G52 is broken up into four sections (G52a-G52d) this section contains 'Males Agriculture forestry and fishing Number of hours worked None' - 'Males Inadequately described Not stated 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, employment, g52a, gcp, general community profile, hours, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G36 Rent (Weekly) by Landlord Type-Census 2016

SA2 based data for Rent (Weekly) by Landlord Type, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings being rented. Includes dwellings being occupied rent-free. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, g36, gcp, general community profile, landlord type, rental, sa2, weekly rent
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B34 Rent (Weekly) by Landlord Type as at 2011-08-11

SA4 based data for Rent by Landlord type, for 2011 Census. Count of occupied private dwellings being rented on Census night based on place of usual residence. Includes dwellings being occupied rent-free. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
SA4-W21a Method of Travel to Work by Occupation-Census 2016

SA4 based data for Method of Travel to Work by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W21 is broken up into 2 sections (W21a - W21b), this section contains 'One method Train Managers' - 'Two methods Train and 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, occupation, transport, travel method, w21a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Child and Maternal Health Indicators - Indigenous Mothers who Smoked during Pregnancy (%) (SA4) 2012-2016

This dataset presents the footprint of the percentage of Aboriginal and Torres Strait Islander women who gave birth and smoked during pregnancy. The data spans every two years between 2012-2016 and is aggregated to Statistical Area Level 4 (SA4) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of Aboriginal and Torres Strait Islander mothers who smoked during pregnancy, and the denominator as the total number of Aboriginal and Torres Strait Islander mothers with a stated smoking status.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.
Please note:


AURIN has spatially enabled the original data.


Data at the area level exclude births to Australian non-residents and women who could not be allocated because their usual residence was not stated or was not valid.


A woman's smoking status during pregnancy is self-reported.


Percentage for an area are suppressed for publication and marked as 'NP' if the number of mothers with a stated smoking  status for the area is less than 100.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
GCCSA-P14 Religious Affiliation by Sex-Census 2016

GCCSA based data for Religious Affiliation by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of 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, census, p14, pep, place of enumeration profile, religion, religious affiliation, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Teenage Mothers - Birthrate per 1,000 Women Aged Younger than 20 Years (PHN) 2015

This dataset presents the footprint of the birthrate per 1,000 women aged younger than 20 years, by the mother's usual place of residence. The data spans the year of 2015 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) and historical data for time trends. Where the term 'teenage mother' is used the analysis is based on women who gave birth aged under 20. Teenage mothers and their babies are more likely to experience broader disadvantage, have antenatal risk factors and have poorer maternal and baby outcomes during and after birth, than older mothers and their babies. 
The Teenage Mothers in Australia data accompanies the Teenage Mothers in Australia 2015 Report.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Teenage Mothers in Australia 2015 Data Tables.
Please note:


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


Excludes women not usually resident in Australia or whose usual residence was 'Not stated'.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA4 Estimates of Personal Income - Investment Income 2010-2015

This dataset presents aggregated values of Investment 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