AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Potential Years of Life Lost - Persons (PHA) 2014-2018

This dataset, released February 2021, contains the potential years of life for all death of persons aged 0 to 14, 15 to 24, 25 to 44, 45 to 64 and 65 to 74, over the years 2014 to 2018. Potential years of life lost represents the sum of the actual age at death and 75 years of age.
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: Data compiled by PHIDU from deaths data based on the 2014 to 2018 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. The population is the ABS Estimated Resident Population (ERP) for Australia, 30 June 2014 to 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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 Census - U30 Occupation by Birthplace (LGA) 1986

Local Government Area (LGA) based data for Occupation by Birthplace, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W17f Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Machinery operators and drivers $400-$499 Number of hours worked None' - 'Labourers $800-$999 Number of hours worked Total'. The data is by 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, income, occupation, personal income, w17f, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Data by Region - Land & Environment (SA3) 2014-2018

This dataset presents data on land and environment available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2014-2018 and is based on the Statistical Area 3 (SA3) 2016 boundaries. The dataset includes information in the following specified areas of land and environment: Land Area, Protected Land Areas and Solar Installations.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:


Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 2016 dataset.


Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.


Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.


Columns and rows that did not contain any values in the original data have been removed.



Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (LGA) 2017-2018

This dataset, released June 2020, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2017/18. 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 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
LGA15 Median Age at Death Categorised by Sex - 2010-2014

The median age at death of males/females/people for deaths occurring between 2010 and 2014 (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). Data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries).
  Note: The Local Government Area (LGA) data are based on deaths within Statistical Areas Level 2 (SA2). Where an SA2 is split over multiple LGAs the deaths were assigned to the LGA containing the largest portion of the SA2. LGAs that consequently recorded 0 deaths were assigned the median age at death of the SA2 from which the LGA was split.
 Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 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.

Tags: deaths, lga profile 2015, median age, median age at death, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
Identified Areas of Emerging CALD Communities - Non-English Language Spoken at Home (Polygon) (SA1 Level) (2001-2021)

An emerging CALD community refers to a place with a significant increase in the number of Culturally and Linguistically Diverse (CALD) populations according to ABS census counts. These communities may experience social barriers that adversely affect the quality of life. Emerging CALD Communities are an ongoing feature of the Australian cultural landscape. Further research has been required into the status of Emerging CALD Communities. This project concerns how social and environmental inequalities have been distributed in Australia's CALD populations over the last two decades. It aims to measure changes in the CALD populations and exposure to urban heat and greening due to social inequities and climate change. 
Two layers of CALD total populations at the SA1 level were generated for five consecutive Australian Census years (2001, 2006, 2011, 2016, 2021) using historic ABS Census datasets. The first layer represents individuals who speak a non-English language at home, while the second layer includes those born in a country where the main language is non-English. Both layers were transformed and aggregated to ensure consistency across Census years, providing a detailed analysis of CALD population trends over two decades.
This project expands AURINʼs infrastructure of data and tools, in particular the integrated Heat Vulnerability Index toolkit developed by CI Sun that has provided cloud computing tools for deriving environmental indicators. The outcome of this project is a new nationwide longitudinal database with the quantification of CALD populations and social-environmental inequalities, which will fill a critical gap for AURINʼs data catalogue. The database supports and facilitates multidisciplinary research to perform spatial and statistical analyses to reveal the disproportionate exposure to urban heat and greening across CALD communities in Australia. Spatially explicit information can be generated from the database for planners to make intervention strategies for vulnerable CALD populations, to diminish the inequality for CALD. This significantly advances AURINʼs capability to support CALD research across social science, public health, and the environment, and achieve SDG goals.

Tags: Cultural diversity, climate change, emerging communities, environment, linguistic diversity, public health, quality of life, social inequities, urban heat exposure
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2011

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents business establishments with their trading name, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation. as points which represent a single business. The data covers the year period of 2011.
For more information please visit the City of Melbourne CLUE Portal.
Please note: 


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


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


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



Tags: 2011, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
ABS Census - U12 Birthplace (Countries) By Year Of Arrival (SLA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to birthplace (countries) by year of arrival. Counts are of persons born overseas excluding overseas visitors, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Includes England, Scotland, Wales and Northern Ireland.


(b) Includes the Baltic States.


(c) Includes 'inadequately described', 'at sea' and 'not elsewhere classified'.



Tags: 1991, birthplace, census, country, lga, population, residence, u12, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W17a Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Managers Negative Nil income Number of hours worked None' - 'Professionals $300-$399 Number of hours worked 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, income, occupation, personal income, w17a, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G36 Rent (Weekly) by Landlord Type-Census 2016

SA1 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 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, census, g36, gcp, general community profile, landlord type, rental, sa1, weekly rent
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - T18 Family Type (SLA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Statistical Local Areas (SLA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to family type(a)(b). Counts are of all families, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Full comparability is not possible because the definition of dependent offspring has changed. In 1986 a 'dependent family child' was aged 0-14, or 15-20 years and a full-time student, whereas in the 1991 Census, 21-24 year old offspringstudying full-time are also defined as dependents.


(b) Comparable 1981 Census data are not available.


(c) 'Other family members' comprise 'other offspring' and/or 'other related individuals'.


(d) In the 1986 Census sole parents with other offspring were considered as families of other related individuals only.


(e) In the 1986 Census it is not possible to distinguish between 'Couples and other related individuals' and 'Two parent families with no dependent offspring' because non-dependent offspring aged 15 years or more were classified as 'Other relatedindividuals'.



Tags: census, community, families, persons, profile, t18, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G09f Country of Birth by Age by Sex-Census 2016

SA3 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 'Females Vietnam Age 0-4 years' - 'Persons Germany Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09f, gcp, general community profile, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G09h Country of Birth by Age by Sex-Census 2016

SA1 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 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, birthplace, census, country of birth, g09h, gcp, general community profile, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P18 Core Activity Need for Assistance by Age by Sex-Census 2016

SA3 based data for Core Activity Need for Assistance by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. A person's need for help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long term health condition (lasting six months or more) or old age. 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, assistance, census, core activity, disabled, need for assistance, p18, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W05d Status in Employment by Country of Birth of Person by Sex-Census 2016

LGA 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 'Persons Philippines Employee' - 'Persons Total 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, birthplace, census, country of birth, employment, employment status, w05d, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - ASGS Non ABS Structures - National Resources Management Regions (NRMR) 2011

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 2011.
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
GCCSA-G50a Non-School Qualification-Level of Education by Industry of Employment by Sex-Census 2016

GCCSA based data for Non-School Qualification: Level of Education by Industry of Employment by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G50 is broken up into three sections (G50a-G50c) this section contains 'Males Agriculture forestry and fishing Postgraduate Degree Level' - 'Females Accommodation and food services Advanced Diploma and Diploma Level'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, education, employment, g50a, gcp, general community profile, industry, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics