AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Age Distribution - Broad Age Groups: Females (PHN) 2019

This dataset, released September 2020, contains female usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. 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 ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
AIHW - Mortality Over Regions and Time (MORT) Books - Deaths Due to All Causes by Sex (GCCSA) 2012-2016

This dataset presents the footprint of statistics related to deaths due to all causes (combined) by sex. The reported statistics include year of death, total deaths, crude rates, age-standardised rates, rate ratio, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The data spans the years of 2012-2016 and is aggregated to Greater Capital City Statistical Area (GCCSA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).
Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.
Please note:


AURIN has spatially enabled the original data.


Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.


Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.


Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).


Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any GCCSA with less than 10 deaths in a single year; they are not presented for 'Other territories' because there were only 42 deaths recorded in 2012-2016.


Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
VIC DET - VCAMS Indicators - 20.2: Rate of Children on Child Protection Orders (LGA) 2009/10

This dataset presents indicator 20.2: Rate of children on child protection orders per 1,000 children aged 0-17 years. The data covers the financial year of 2009/10 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 Client Relationship Information System (CRIS).
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 - T20 Structure Of Dwelling - Persons In Occupied Private Dwellings (LGA) 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 Local Government Areas (LGA) 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 the structure of dwellings. Counts are of persons in occupied private dwellings, 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.

Tags: census, community, dwelling, persons, profile, residents, t08, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Chronic Kidney Disease (CKD) - Hospitalisations - Dialysis by Sex and Age (PHA) 2012-2015

This dataset presents the statistics of hospitalisations for chronic kidney disease (CKD) with a 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 (AHIW) 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
PHIDU - Cancer Incidence - Persons (LGA) 2006-2010

This dataset, released September 2017, contains data on the total cancer incidences during 2006-2010 by Colorectal Cancer, Melanoma of the skin, Lung cancer, Lymphoma cancer, Leukaemia cancer, Pancreatic cancer, and All cancers combined. 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 from an analysis by the Australian Institute of Health and Welfare (AIHW) of theAustralian Cancer Database (ACD) 2012. The ACD is compiled at the AIHW from cancer data provided by state andterritory cancer registries.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-W06b Status in Employment by Total Personal Income (weekly) by Sex-Census 2016

SA3 based data for Status of Employment by Total Personal income (Weekly) by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W06 is broken up into 2 sections (W06a - W06b), this section contains 'Persons $1-$149 Owner managers of unincorporated enterprises' - 'Persons Total 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, census, employment, employment status, income, personal income, w06b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2003

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows business establishments with their trading name, industry (ANZSIC4) classification, location and CLUE block and small area allocation. The data covers the year period of 2003.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


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


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


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


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


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



Tags: 2003, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
SA2-P15 Type of Educational Institute Attending by Sex-Census 2016

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

Tags: 2016, age, census, education, educational institution, p15, pep, place of enumeration profile, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B21 Unpaid Assistance to a Person with a Disability by Age by Sex as at 2011-08-11

SA2 based data for Unpaid Assistance To A Person With A Disability by Age by Sex, for 2011 Census. Count of all persons 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
PHIDU - Emergency Department Presentations - Semi-Urgent (PHA) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for semi-urgent by principal diagnosis, 2017/18. Presentations include Semi-urgent presentations - Total; Semi-urgent presentations for certain infectious and parasitic diseases; Semi-urgent presentations for mental and behavioural disorders; Semi-urgent presentations for diseases of the circulatory system; Semi-urgent presentations for diseases of the respiratory system; Semi-urgent presentations for diseases of the digestive system; Semi-urgent presentations for diseases of the musculoskeletal system and connective tissue; Semi-urgent presentations for diseases of the genitourinary system; Semi-urgent presentations for injury, poisoning and certain other consequences of external causes; Semi-urgent presentations for factors influencing health status and contact with health services; Semi-urgent presentations for other diseases/ conditions, 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
SNAMUTS - Indicators by Areas (SA1) 2011

This dataset presents the footprint of Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) indicators by area. The data spans the year of 2011 and is aggregated to Statistical Area Level 1 (SA1) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
SNAMUTS Australia is a multiple indicator tool to assess public transport network performance and land use-transport integration in Australia's five largest metropolitan areas (Adelaide, Brisbane, Melbourne, Perth, Sydney), at SA1 level and for specified activity nodes in the census years 2011, 2016 and 2021. SNAMUTS is a decision-making support tool designed to inform strategies for public transport infrastructure and service improvements, land use intensification and overall metropolitan strategic planning. It also allows for timeline and city-to-city comparisons on public transport performance and accessibility indicators between about 30 cities on four continents.
SNAMUTS has been developed and refined with funding from the Australian Research Council (DP110104884), the European Science Foundation (COST TU1002), the Cities of Melbourne, Manningham and Perth, internal support through RMIT University, Curtin University and University of Melbourne, the Sustainable Built Environment National Research Centre (SBENRC), AURIN and in-kind support by the University of Porto, Goudappel Coffeng, University of Amsterdam, University of Gothenburg, Norwegian University of Life Sciences, Western Norway University of Applied Sciences, Concordia University and University of Westminster.
These are known as the eight key SNAMUTS indicators, they include:
- Transfer intensity (degree centrality)
- Ease of movement (closeness centrality),
- Geographical reach of public transport journeys (30-minute contour catchment)
- Spatial concentration of public transport journey paths (betweenness centrality and transfer propensity)
- Flexibility of movement (nodal connectivity)
- Future-proofness of the network (nodal resilience)
- A composite index for overall public transport accessibility.
It is based on public transport network and timetable information available publicly through transport agencies (Adelaide Metro, Translink, PTV, Transperth, TfNSW) and ABS census data (usual residential population and journey-to-work destinations) for the three years (2011, 2016, 2021). This data can be viewed in conjunction with the corresponding routes dataset: "SNAMUTS - Route Segment (Polyline) 2011".
For more information, please refer to the SNAMUTS website. A full list of SNAMUTS publications can be found at http://www.snamuts.com/publications.html.

Tags: indicator, transport
Organization: Spatial Network Analysis For Multi-Modal Urban Transport Systems
ABS Census - U20 Industry By Age By Sex (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 industry by age by sex. Counts are of employed persons, 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.

Tags: 1991, census, employment, industry, lga, population, residence, u01, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G10c Country of Birth by Year of Arrival in Australia-Census 2016

SA3 based data for Country of Birth of Person by Year of Arrival in Australia, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G10 is broken up into 3 sections (G10a - G10c), this section contains 'South Africa Year of arrival Before 1946' - 'Total Total'. Where arrival is stated as the year 2016 it corresponds to the period 1 January 2016 to 9 August 2016. The list of countries consists of the most common Country of Birth responses (excluding Australia) reported in the 2011 Census. The data is by 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, birthplace, census, country of birth, g10c, gcp, general community profile, sa3, year of arrival
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SD Premature Mortality 2008-2012

Premature mortality by selected causes and sex by SD, from 2008 to 2012.

Tags: breast cancer, cancer, cerebrovascular, chronic obstructive pulmonary disease, circulatory system, colorectal cancer, copd, deaths, demographic, diabetes, external causes, gender, health, ischaemic heart disease, lung cancer, mortality, population, premature mortality, respiratory system disease, road traffic injuries, suicide
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - B11 Language Spoken At Home By Sex (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to language spoken at home by sex. Counts are of persons aged 5 years or more, 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) Comprises 'Cantonese', 'Mandarin', 'Chinese as stated' and 'Chinese languages n.e.i.'.


(b) Comprises 'Yugoslav n.e.i.' and 'Serbo-Croatian'.


(c) Includes 'other language indicated but not stated' and 'inadequately described'.



Tags: 1991, b11, basic community profile, bcp, census, language, place of enumeration, speech
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11 Premature Mortality 2008-2012

Premature mortality by selected causes and sex by LGA 2011, from 2008 to 2012.

Tags: breast cancer, cancer, cerebrovascular, chronic obstructive pulmonary disease, circulatory system, colorectal cancer, copd, deaths, demographic, diabetes, external causes, gender, health, ischaemic heart disease, lung cancer, mortality, population, premature mortality, respiratory system disease, road traffic injuries, suicide
Organization: Torrens University Australia - Public Health Information Development Unit