AndreaBozzo/ceres-open-data-index huggingface dataset:
SA3-P28 Total Household Income (Weekly) by Household Composition-Census 2016

SA3 based data for Total Household Income (Weekly) by Household Composition, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. Total Household Income (Weekly) is calculated by summing the personal incomes reported by all household members aged 15 years and over. Excludes 'Other non-classifiable' households. Comprises 'Visitors only', 'Lone person' and 'Group households'. 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, household composition, household income, p28, pep, place of enumeration profile, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P27 Family Blending-Census 2016

SA2 based data for Family Blending, in Place of Enumeration Profile (PEP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s. 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, child, family blending, p27, parent, pep, place of enumeration profile, relationship
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who Consume over Two Standard Drinks per Day Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who consume more than two standard drinks per day on average. Lifetime risky alcohol consumption is defined as those adults who consume more than two standard drinks per day on average, thereby increasing their lifetime risk. 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 PHN106 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50%.


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
ABS - Regional Population (SA2) 2001-2019

This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2019. The data is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 2 (SA2).
Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimated resident population is based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.
This data is sourced from the Australian Bureau of Statistics (Catalogue Number: 3218.0).
For more information please visit the Explanatory Notes.
Notes:

The estimates in this issue are final for 2001 to 2016, revised for 2017 and 2018, and preliminary for 2019.

AURIN has ingested this dataset in its GeoPackage format.

Tags: Demographics, Immigration, Migration, Population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C34  Reason Unoccupied (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on the reasoning for an unoccupied dwelling. Census counts were 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 Local Government Area 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &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 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1981, c34, census, dwelling, place of enumeration, reason, unoccupied
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Social and Economic Indicators - Unemployment Rate SA2 2016

This dataset presents the unemployment rate of the population in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
This indicator is the number of people unemployed, and the unemployment rate is the number of people unemployed divided by the number of people in the labour force.
All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying.
For more information please view the NATSEM Technical Report.
Please note: 


AURIN has spatially enabled the original data provided directly from NATSEM.


Where data values are NULL, the data is either unpublished or not applicable mathematically.


The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.


Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.



Tags: Australia, economic, indicators, model, sa2, social, socio economic, unemployment
Organization: University of Canberra - National Centre for Social and Economic Modelling
SA3-G13a Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA3 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 English only' - 'Males Speaks Southeast Asian Austronesian Languages Other And speaks English Very well or well'.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, english proficiency, g13a, gcp, general community profile, language, language spoken at home, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G47c Non-School Qualification-Field of Study by Age by Sex-Census 2016

SA1 based data for Non-School Qualification: Field of Study by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G47 is broken up into three sections (G47a-G47c) this section contains 'Persons Total Age 55-64 years' - 'Persons 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, education, g47c, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-P02 Selected Medians and Averages-Census 2016

LGA based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, averages, census, medians, p02, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Offstreet Car Parking (Points) 2003

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents the number of off-street car parking spaces per property recorded in CLUE as points which represent each parking spot location. The data covers the year period of 2003.
Car parking can be classified as:


Commercial: Car parking in a publicly accessible, paid parking facility.


Residential: Car parking in a residential building or property.


Private: Car parking in a non-residential building that is provided for use by staff, customers or visitors.


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: 2003, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
SA4-based B42B Labour Force Status by Age by Sex as at 2011-08-11

SA4 based data for Labour Force Status by Age by Sex, for 2011 Census. Count of 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
City of Melbourne CLUE Offstreet Car Parking (Points) 2006

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents the number of off-street car parking spaces per property recorded in CLUE as points which represent each parking spot location. The data covers the year period of 2006.
Car parking can be classified as:


Commercial: Car parking in a publicly accessible, paid parking facility.


Residential: Car parking in a residential building or property.


Private: Car parking in a non-residential building that is provided for use by staff, customers or visitors.


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: 2006, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Disadvantage (SLA) 2006

This data is Statistical Local Areas (SLA) based Socio-Economic Indexes for Areas (SEIFA) Index of Disadvantage (IRSD) - focuses on low-income earners, relatively lower educational attainment, high unemployment and variables reflecting disadvantage. This data is based on the 2006 census and follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries.
The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables.
All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values.
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.Please note: 

AURIN has spatially enabled the original data following the 2006 ASGC.


Tags: seifa
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G46a Non-School Qualification-Level of Education by Age by Sex-Census 2016

SA1 based data for Non-School Qualification: Level of Education by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). Excludes schooling up to year 12. G46 is broken up into two sections (G46a-G46b), this section contains 'Males Postgraduate Degree Level Age 15 24 years' - 'Persons Postgraduate Degree Level Age 25-34 years'. 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, education, g46a, gcp, general community profile, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Education (LGA) 2016-2019

This dataset, released February 2021, contains education information relating to Preschool participation, 2018; People who left school at Year 10 or below, or did not go to school, 2016; Full-time participation in secondary school education at age 16, 2016; Participation in vocational education and training, 2019; Load Pass Rates of vocational education and training subjects, 2019; Government-funded vocational education and training subjects, 2019; School leavers enrolled in higher education, 2019. 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 data from the ABS Census of Population and Housing, August 2016; the National Centre for Vocational Education Research Ltd., 2019; the ABS Estimated Resident Population, 30 June 2019; the Universities Admissions Centre (NSW &amp; ACT), Victorian Tertiary Admissions Centre, South Australian Tertiary Admission Centre (SA &amp; NT), Tertiary Institutions Service Centre (WA), The University of Notre Dame Australia (WA &amp; NSW), the University of Tasmania. 
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: EDUCATION, HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Emergency Department Presentations - Resuscitation and Emergency (PHN) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for resuscitation and emergency by principal diagnosis, 2017/18. Presentations include Resuscitation and emergency presentations - Total; Resuscitation and emergency presentations for diseases of the circulatory system; Resuscitation and emergency presentations for diseases of the respiratory system; Resuscitation and emergency presentations for injury, poisoning and certain other consequences of external causes; Resuscitation and emergency presentations for other diseases or conditions. 
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 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
ABS Census - B18 Year Qualification Obtained By Sex (CD) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Census Collection Districts (CD) in Australia. 
This table contains data relating to the year a qualification was obtained by sex. Counts are of persons aged 15 years or more with a qualification, 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 CD 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 extracted from CDATA91 which was supplied to AURIN by the University of Melbourne. 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, b18, basic community profile, bcp, census, education, graduation, place of enumeration, qualification, year received
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 30.6:  Proportion of Children in Year 1 Assessed by School Nurse (LGA) 2014-2015

This dataset presents indicator 30.6: Proportion of children in first year of primary school who have been assessed by the school nurse. The data covers the years of 2014-2015 and is aggregated by Local Government Areas (LGA) from the 2016 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 School Nursing Information System.
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