AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Mothers and Babies (PHN) 2014-2018

This dataset, released February 2021, contains mother and babies statistics relating to Low birth weight babies, 2016 to 2018; Smoking during pregnancy, 2016 to 2018; Breastfeeding (modelled estimates), 2014-15; Fully breastfed babies at 3 and 6 months, 2014-15; Children who first ate soft, semi-solid or solid food before 4 months of age, 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 based on data from the Australian Institute of Health and Welfare, on behalf of the States and Territories.; 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
ABS Census - B46 Structure Of Dwelling - Occupied Private Dwellings - Persons (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to structure of occupied private 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 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, b46, basic community profile, bcp, census, dwelling structure, place of enumeration, private houses, residents
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P05 Registered Marital Status by Age by Sex-Census 2016

SA1 based data for Registered Marital Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, and never been married. The counts exclude de facto marriages. 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, marital status, p05, pep, place of enumeration profile, registered marriage, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2017

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 2017.
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: 2017, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
SA3-P29 Number of Motor Vehicle by Dwelling Structure-Census 2016

SA3 based data for Number of Motor Vehicles by Dwellings, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings categorised by the number of registered motor vehicles owned or used by household members. It includes company owned vehicles garaged, parked at or near private dwellings on Census night. It excludes motorbikes and scooters. 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, cars, census, dwelling, motor vehicles , p29, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - School Locations for Victoria (Point) 01/02/2019

This dataset presents the listing of all school locations in Victoria as on February 2019, 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: education
Organization: Government of Victoria - Department of Education and Training
City of Melbourne CLUE Business Establishments Names and Industries (Point) 2002

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 2002.
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: 2002, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
AIHW - Health Risk Factors - Adults who are Obese Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who are obese. Adults were classified as obese if their Body Mass Index (BMI) was greater than or equal to 30. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


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


Age-standardisation is a method of removing the influence of age when comparing populations with different age structures - either different populations at the same time or the same population at different times. For this data the Australian estimated resident population of people aged 18 and over as at 30 June 2001 has been used as the standard population.


Adults are defined as persons aged 18 years and over.


Values assigned to "n.p." in the original data have been removed from the data.


Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA3-G07 Indigenous Status by Age by Sex-Census 2016

SA3 based data for Indigenous Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons in the following categories: identified themselves as Aboriginal and/or Torres Strait Islanders, identified themselves as non-indigenous, did not state their indigenous status. 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, g07, gcp, general community profile, indigenous status, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P44 Method of Travel to Work by Sex-Census 2016

SA2 based data for Method of Travel to Work by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). 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, pep, place of enumeration profile, travel
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Avoidable Mortality - Selected Causes (LGA) 2010-2014

This dataset, released December 2016, contains statistics relating to avoidable mortalities during the year 2010-2014 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases and external causes. The data is by Local Government Area (LGA) 2016 geographic boundaries.
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 Registries ofBirths, 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
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males Mortality (GCCSA) 2009-2013

This dataset presents the footprint of male cancer mortality statistics in Australia for all cancers combined and the 11 top cancer groupings (bladder, colorectal, head and neck, kidney, leukaemia, lung, lymphoma, melanoma of the skin, pancreas, prostate and stomach) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to Greater Capital City Statistical Areas (GCCSA) from the 2011 Australian Statistical Geography Standard (ASGS).
Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD).
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.


Australian Institute of Health and Welfare - 2013 National Mortality Database.


Please note:


AURIN has spatially enabled the original data.


Due to changes in geographic classifications over time, long-term trends are not available.


Values assigned to "n.p." in the original data have been removed from the data.


The Australian and jurisdictional totals include people who could not be assigned a GCCSA. The number of people who could not be assigned a GCCSA is less than 1% of the total.


The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).


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 NMD.


Year refers to year of occurrence of death for years up to and including 2012, and year of registration of death for 2013. Deaths registered in 2011 and earlier are based on the final version of cause of death data; deaths registered in 2012 and 2013 are based on revised and preliminary versions, respectively and are subject to further revision by the ABS.


Cause of death information are based on 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).


Colorectal deaths presented are underestimates. For further information, refer to "Complexities in the measurement of bowel cancer in Australia" in Causes of Death, Australia (ABS cat. no. 3303.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
AEDC - Social Competence (SA2 Modified) 2009-2018

This dataset contains information from the 'Social competence' domain of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on modified 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has created a custom geometry combining the relevant SA2 boundaries for these results.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
LGA-T20 Tenure Type by Landlord Type by Dwelling Location (Occupied private dwellings)-Census 1996

LGA based data for Tenure Type by Landlord Type by Dwelling Location, in Time Series Profile, 1996 Census. Count of occupied private dwellings in 1986, 1991 and 1996 census years. The data is by LGA 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, census, dwelling, dwelling location, landlord, occupied private dwelling, t20, tenure, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-I15c Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

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

Tags: 2016, aboriginal torres strait islander peoples, age, atsip, census, education, i15c, indigenous status, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-I15b Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

SA2 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 'Males Total 20-24 years Postgraduate Degree Graduate Diploma and Graduate Certificate Level' - 'Females Indigenous status not stated 20-24 years Total'. 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, aboriginal torres strait islander peoples, age, atsip, census, education, i15b, indigenous status, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Maternity Indicators - Women having their Second Birth Vaginally whose First Birth was by C-section (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of women having their second birth vaginally whose first birth was by caesarean section, by the mother's usual residence. This has been calculated with the number of females having their second birth vaginally whose first birth was by caesarean section, divided by the number of females having their second birth whose first birth was by caesarean section and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


AURIN has spatially enabled the original data.


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Included are those females who are having a singleton for their second birth and whose first birth was by caesarean section.


Excluded are those females whose second birth is a multiple birth, those who are not having their second birth, and those who are having their second birth and whose first birth was a vaginal birth.


Data for Victoria in 2007 to 2009 were not available.


Data for WA in 2013 is not published as complete data due to only half a year being reported.


From 2014, Caesarean section at most recent previous birth indicator data item was introduced into the Perinatal NMDS. Although not an NMDS/DSS item prior to 2014, data items appear to match the data element developed by NPDDC, Caesarean section indicator (last previous birth).


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare