AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Net Internal and Overseas Migration Estimates - by Age (SA2) 2017-2020

This dataset presents the estimates of the internal and overseas migration statistics of Australia by age by Statistical Area Level 2 (SA2) following the 2016 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2016-17 financial year up to the 2019-20 financial year.
Overseas migration is the movement of people from overseas to Australia's sub-state areas and vice-versa.  It cannot be directly measured and is estimated by breaking down overseas migrant arrivals and departures at the state level to sub-state areas, using information from the most recent Census. The state-level overseas migration data is sourced from Department of Home Affairs processing systems, visa information, and incoming passenger cards, and is published in National, state and territory population.
Internal migration is the movement of people across a specified boundary within Australia involving a change in place of usual residence. It cannot be directly measured and is instead estimated using administrative data. The movement of people between and within Australia's states and territories cannot be directly measured and is estimated using administrative data. Internal migration is estimated based on a combination of Census data (usual address one year ago), Medicare change of address data (provided by Services Australia), and Department of Defence records (for military personnel only). 
The Medicare source data is assigned to a state or territory and GCCSA for a person's departure and arrival locations, based on the postcodes of their residential addresses as registered with Medicare. Postcodes are assigned wholly to a state/territory and GCCSA based on best fit. Where a postcode is split across areas, it is assigned to the area that contains the majority of that postcode's population.
For more information please visit the Regional population methodology.
AURIN has spatially enabled the original data.

Tags: Demography, HUMAN SOCIETY, Migration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Small Generation Unit - Hydro (POA) 2001-Jun 2020

This dataset presents the footprint of the number of installations of small generation unit (SGU) hydro systems and their rated output in kilowatts (kW). The data is available for May 2020 and June 2020, and it also includes the total over the months from 2001 to 2019. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


A 12 month creation period for registered persons to create small-scale technology certificates applies under the Renewable Energy (Electricity) Act 2000. Therefore the 2019 and 2020 figures will continue to rise due to the 12 month creation period.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). 


This data is current as at 30-06-2021.


Further information can be found at theRenewable Energy Target FAQ.
 AURIN has made the following change to the original data:


Spatially enabled the original data by joining the data with the 2016 ASGS POAs



Tags: BUILT ENVIRONMENT AND DESIGN, Climate change science, Climate change science not elsewhere classified, Design, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Environmental management, Sustainable design
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
PHIDU - Child and Youth Health (PHN) 2010-2015

This dataset, released March 2018, contains children and youth health statistics based on Children fully immunised at 1 year of age, 2 years of age and 5 years of age, 2015; HPV vaccine coverage: females aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; HPV vaccine coverage: males aged 15 years in mid-2015, who received Dose 3 of the vaccine by 2017; Infant deaths, 2010 to 2014; Child mortality: Deaths of children aged 1 to 4 years, 2010 to 2014; Youth mortality: Deaths of persons aged 15 to 24 years, 2010 to 2014. 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 data provided by the Australian Childhood Immunisation Register, MedicareAustralia, 2015;  the National HPV Vaccination Program Register (NHVPR), February 2018; the ABS Census Estimated Resident Population (ERP) 2015; and deaths data based on the 2011 to 2015 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.
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
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2013

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 2013.
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: 2013, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Self-assessed Health (PHN) 2017-2018

This dataset, released January 2020, contains an Estimated number of people aged 15 years and over, who reported their self-assessed health as fair or poor, 2017-18. 
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
GCCSA-G04b Age by Sex-Census 2016

GCCSA based data for Age By Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G04 is broken up into two sections (G04a and G04b) this section covers ‘Age years 55 Persons’ - ‘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, age, census, g04b, gccsa, gcp, general community profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-I15c Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

LGA based data for Non-School Qualification: Level of Education by Indigenous Status by Age by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of 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). I15 is broken up into 4 sections (I15a – I15d), this section contains 'Females Indigenous status not stated 25-34 years Postgraduate Degree Graduate Diploma and Graduate Certificate Level' - 'Persons Non-Indigenous 25-34 years 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, aboriginal torres strait islander peoples, age, atsip, census, education, i15c, indigenous status, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - School Locations for Victoria 01/02/2017

This dataset presents the listing of all school locations in Victoria as on February 2017, including primary and secondary schools, government and non-government. This information has been collected as part of the ongoing registration of schools. School details include name, school sector, school type, address, phone.
For more information please visit the Victorian Government Data Portal.
Please Note:

AURIN has spatially enabled the original data.


Tags: School
Organization: Government of Victoria - Department of Education and Training
NT DIPL - Tennant Creek Super Tuesday Bike Counts (Points) 2019

This dataset presents information and locations related to The Super Tuesday Bike Count event in Tennant Creek for 2019. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers.
The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.
Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. 
For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report.
Please note: 

Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.


Tags: bicycle
Organization: Northern Territory Government - Department of Infrastructure, Planning and Logistics
SA3-based B24 Number of Children Ever Born by Age of Parent as at 2011-08-11

SA3 based data for Number Of Children Ever Born by Age of Parent, for 2011 Census. Count of females 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 - Admissions - Principal Diagnosis: Females  (PHN) 2014-2015

This dataset, released December 2017, contains data relating to female hospital admissions during 2014-2015 by principal diagnosis of: Parasitic disease, cancer, Blood-organ disease, metabolic disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations, pregnancies and external causes. 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 of Stateand Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30 June 2014and 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
SA2-P21 Unpaid Assistance to a Person with a Disability by Age by Sex-Census 2016

SA2 based data for Unpaid Assistance to a Person with a Disability by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night spent time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition or problems related to old age. This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include work done through a voluntary organisation or group. 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, disability, p21, pep, place of enumeration profile, sex, unpaid assistance
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B04A Age by Sex as at 2011-08-11

SA2 based data for age by sex, for 2011 Census. Count of all persons 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
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2012

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 2012.
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: 2012, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
DSS - Quarterly Payment Recipients (SA2) December 2016

This dataset presents counts of payment recipients by payment type for the quarter ending December 2016. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 19 have been suppressed and replaced with '&lt;20' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 20.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;20' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
SLA Avoidable Mortality 2003-2007

The number of potentially avoidable deaths at ages 0 to 74 years and their corresponding mortality rates with respective confidence intervals from 2003 to 2007 by SLA for: all causes, cancers, colorectal cancer, lung cancer, cardiovascular diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease (45 to 74 years), road traffic injuries, suicide and self-inflicted injuries.

Tags: amenable, cancer, cardiovascular disease, cerebrovascular disease, chronic obstructive pulmonary disease, colorectal cancer, deaths, health, ischaemic heart disease, lung cancer, mortality, population, respiratory system disease, road traffic injuries, suicide, treatable
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Potential Years of Life Lost - Sex (PHN) 2014-2018

This dataset, released February 2021, contains the potential years of life for all death of males, females and persons 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 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: 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