AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Prevalence of Selected Health Risk Factors - Children and Youth (PHN) 2014-2015

This dataset, released May 2017, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2014-15; Fruit consumption (children) (modelled estimates), 2014-15. 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: 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. 
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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-G52c Industry of Employment by Hours Worked by Sex-Census 2016

SA3 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 'Females Inadequately described Not stated Number of hours worked None' - 'Persons Arts and recreation services 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, g52c, gcp, general community profile, hours, industry, sex, worked
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Employment by ANZSIC Industries (Block) 2003

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2003.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired 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.


Suppressed values ("-" in the original data) have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2003, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Fertility (LGA) 2015-2017

This dataset, released June 2020, contains the total fertility rate, 2015 to 2017.
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 based on the ABS data in Table 2: Births, Australia 2017: Births, Australia, 2011 to 2017 (ABS Cat no. 3301.0).
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 - Human Papillomavirus (HPV) Immunisation Rates - Boys Fully Immunised (%) (SA4) 2014-2016

This dataset presents the footprint of the percentage of boys who were fully immunised against human papillomavirus (HPV). The data spans the financial years 2014-2016 and is aggregated to Statistical Area Level 4 (SA4) geographic boundaries from the 2011 Australian Statistical Geography Standard (ASGS).
HPV is a common sexually transmitted infection. It is estimated that more than four out of five people will have an HPV infection at some point in their lives. Although often asymptomatic, HPV infection can cause a wide range of cancers, including cervical cancer, and other conditions such as genital warts. The Australian Government introduced the school-based National HPV Vaccination Program in 2007 for adolescent girls, and extended it to include boys in January 2013. The data were sourced from the National HPV Vaccination Program Register (HPV Register), which is operated by the Victorian Cytology Service. The HPV Register records information about HPV vaccine doses administered under the National HPV Vaccination Program in Australia. The data reported are for girls and boys aged 15 who had received three doses of HPV vaccine by 30 June 2016 (as at 12 August 2017). The Australian Bureau of Statistics (ABS) Estimated Resident Population (ERP) for females and males aged 13 at 30 June 2014 was used for the denominator, as this reflects the eligible population at the time most vaccinations were administered.
                                                For further information about this dataset, visit the data source:[Australian Institute of Health and Welfare - HPV immunisation rates in 2015-16 Data Tables.](https://www.aihw.gov.au/reports/immunisation/hpv-immunisation-rates-2015-16/data)

Please note:


AURIN has spatially enabled the original data.


These data include boys aged 15 who had received three doses of HPV vaccine by 30 June 2015 and 2016. Any doses administered after that date are not included and therefore the current coverage in this cohort may be higher than reported here. Only vaccinations reported to the National HPV Vaccination Program Register (HPV Register) are included.


Boys whose courses are considered to be incomplete according to the Chief Medical Officer guidelines and boys who do not wish their details to be recorded on the HPV Register are excluded.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
DJSB Labour Market Data - Employment Projection by Industry SA4 2017

This dataset presents the change in employment  through a projection of employment by industries for the Statistical Area Level 4 (SA4) regions projected from 2017 to May 2022. 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, four quarter 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
SA1-G45b Labour Force Status by Sex of Parents by Age of Dependent Children for One Parent Families-Census 2016

SA1 based data for Labour Force Status by Sex of Parent by Age of Dependent Children for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in one parent families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. G45 is broken up into 2 sections (G45a - G45b), this section contains 'Total Lone Parents Employed Worked Part-time Age Of Dependent Children 0-4 Years' - 'Total Lone Parents Total Total'. 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, census, dependent children, family, g45b, gcp, general community profile, labour force, lone parent, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P13 Language Spoken at Home by Sex-Census 2016

SA2 based data for Language Spoken at Home by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. 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, language, language spoken at home, p13, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mothers and Babies - Women who Gave Birth and Attended an Antenatal Visit in the First Trimester (SA3) 2016

This dataset presents the footprint of the number and per cent of women who gave birth and attended an antenatal visit in the first trimester (less than 14 weeks), by the mother's usual place of residence. The data spans the year of 2016 and is aggregated to Statistical Area Level 3 (SA3) geographic 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.


SA3 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 for whom gestation at first antenatal visit was 'Not stated' and 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
VCGLR - Keno and Wagering Venues (Point) February 2019

This dataset includes Keno and wagering (TAB) facilities by street address, suburb or town, venue name, licence number or licence category. Gambling data is regularly updated directly from the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) licensing database. Gambling licence data is updated monthly.
For more information visit the VCGLR's website.
Please note:

AURIN has extracted venue lists from the VCGLR's interactive map of Keno and wagering (TAB) facilities and spatially enabled them on the 8th of March 2019.


Tags: gaming, licence, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
SA2-P30 Household Composition by Number of Persons Present on Census Night-Census 2016

SA2 based data for Household Composition by Number of Persons Present on Census Night, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. Excludes persons usually resident who were temporarily absent on Census Night. Comprises 'Lone person', 'Group', '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, composition, family, household, p30, pep, persons usually resisdent, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
RAI - Technological Readiness (LGA) 2011

This data has been created by the Regional Australia Institute for the  [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia.
Information and communication technologies have historically played a crucial role in creating innovative and more efficient work practices and lifestyles improving productivity and greatly speeding up commercial processes.
At present digital innovations are transforming the way businesses operate from retail services through to manufacturing and primary industries. For non-metropolitan regions to keep pace with metropolitan Australia businesses and households need access to the latest technologies and the skills to use them. Therefore technological readiness and a region's speed in adopting technologies is a vital element in determining a regions competitiveness and ability to attract investment by both households and businesses.

Tags: internet
Organization: Regional Australia Institute
AIHW - Cancer Incidence (PHN) 2009-2013

This dataset presents the footprint of cancer incidence data in Australia for all cancers combined, and six selected cancers (female breast cancer, colorectal cancer, cervical cancer, lung cancer, melanoma of the skin, and prostate cancer) with their respective ICD-10 codes. The data spans the years 2009 to 2013 and is aggregated to the 2015 Primary Health Network (PHN) geographic areas based on the 2011 Australian Statistical Geography Standard (ASGS).
The source of the incidence data is the 2014 Australian Cancer Database (ACD). The ACD is compiled by the Australian Institute of Health and Wellbeing (AIHW) from data provided by the state and territory population-based cancer registries. For further information about this dataset, please visit:


AIHW - Cancer Incidence and Mortality in Australia Data Tables


2014 Australian Cancer Database Data Quality Statement


Please note: 


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


Where records are null, data was not publishable because of small numbers, confidentiality or other concerns about the quality of the data.



Tags: aggregation, aus, australia, cancer, health, incidence, phn, population, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA3-P23a Relationship in Household by Age by Sex-Census 2016

SA3 based data for Relationship in Household by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Other non-classifiable' households.  Includes same sex couples. P23 is broken up into 2 sections (P23a - P23b), this section contains 'Males Husband in a registered marriage Age  15-24 years' - 'Females Other related individual Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, composition, household, p23a, pep, place of enumeration profile, relationship, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (PHN) 2014-2015

This dataset, released December 2017, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2014/15. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf 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
Geoscience Australia - National Electricity Transmission Substations 2017

This dataset presents locations of electricity transmission substations in Australia. The major substations were digitized in 2011 from the library of imagery held within Geoscience Australia. The transmission substations dataset was revised in December 2016 to reflect the most current version of the AEMO Transmission Network Diagrams. The data is current as of February 2017.
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 - Median Age at Death: Sex (PHA) 2010-2014

This dataset, released December 2016, contains Median age at death of males, 2010 to 2014; Median age at death of females, 2010 to 2014; Median age at death of persons, 2010 to 2014; 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 2010 to 2014 Cause of Death Unit Record Filessupplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registriesof Births, Deaths and Marriages and the National Coronial Information System.
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-W16e Occupation by Total Personal Income (weekly) by Age-Census 2016

SA3 based data for Occupation by Total Personal Income (Weekly) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W16 is broken up into 8 sections (W16a - W16h), this section contains 'Sales workers $1000-$1249 Total' - 'Machinery operators and drivers Total Age 15-19 years'. 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, income, occupation, personal income, w16e, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G13b Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

LGA based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Males Speaks Southeast Asian Austronesian Languages Other and speaks English Not well or not at all' - 'Females Speaks Korean Speaks and speaks English 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, english proficiency, g13b, gcp, general community profile, language, lga, sex, spoken at home
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Tourism Research Australia - Businesses Supply (Tourism Regions) 2006-2014

This dataset presents the number of businesses involved in tourism in Tourism Regions around Australia for the years 2006/07 to 2013/14. The Tourism Regions covered in the data are from the 2014 release of the Tourism Regions from the Australian Bureau of Statistics.
Tourism Research Australia's (TRA) Tourism Region Profiles provide comprehensive supply and demand tourism data for all of Australia's 2014 tourism regions. The data includes:


Total tourism expenditure


Overnight visitors


Visitor/population ratio


Accommodation (rooms, occupancy and RevPAR)


Aviation (seats available and seat utilisation)


Tourism businesses


Tourism investment (projects and value)
For more information please visit the Website of the TRA.


Please note: 


AURIN has spatially enabled the original data.


Where data values were, "np", not published or "-", not available, in the original data, they have been set to null.


From 2009-10, there was a methodology change to the definition of 'tourism businesses'. This has resulted in lower numbers from 2009-10 onwards.



Tags: australia, businesses, economy, industry, investment, market, supply, tourism
Organization: Tourism Research Australia