AndreaBozzo/ceres-open-data-index huggingface dataset:
City of Melbourne CLUE Offstreet Car Parking (Points) 2012

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 2012.
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: 2012, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
LGA-P25 Family Composition-Census 2016

LGA based data for Family Composition, in Place of Enumeration Profile (PEP), 2016 Census. Count of families and persons in families in occupied private dwellings. Excludes family members temporarily absent on Census Night. Includes same sex couple families. 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 , composition, family, p25, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U11 Marital Status by Birthplace (LGA) 1986

Local Government Area (LGA) based data for Marital Status by Birthplace, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AFSA - Regional Profile - Time Series Debtors and Insolvencies (GCCSA) Q4 2013 - Q2 2017

This dataset presents time series data about debtors and insolvencies for each quarter from Q4 2013 to Q2 2017. The dataset is presented by 2011 Greater Capital City Statistical Area (GCCSA) boundaries following the Australian Statistical Geography Standard (ASGS).
The Australian Financial Security Authority (AFSA) publishes GCCSA and Statistical Area Level 3 (SA3) breakdowns of the number of debtors with business and non-business related personal insolvencies on a quarterly basis, using the Australian Bureau of Statistics (ABS) ASGS.
Explanatory notes can be found at AFSA Regional Statistics 


AURIN has spatially enabled the original data.


AFSA suppressed the data for regions with small numbers of individuals to protect the privacy and confidentiality of insolvent debtors. Whenever necessary to suppress data, cells are nulled. Generally, AFSA publishes data with three or more debtors.


Regional personal insolvency activity statistics are reported based on the number of debtors.


State totals include 'Other (not in ASGS).


AURIN has added month and year columns for filtering purposes



Tags: Economic
Organization: Government of the Commonwealth of Australia - Australian Financial Security Authority
Geoscience Australia - National Telephone Exchanges 2011

This dataset presents locations of telephone exchanges in Australia. The telephone exchanges dataset was digitized in 2012 from the library of imagery held within Geoscience Australia. Image used ranged from 0.15m to 2.5m resolution. The first version of this dataset was subsequently released on the GA website in March 2015.
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, telecommunications
Organization: Government of the Commonwealth of Australia - Geoscience Australia
ABS Census - C25  Structure Of Occupied Private Dwellings (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) 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 structure of occupied private dwellings. 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 Census Collection District 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".

Tags: 1981, c25, census, dwelling, houses, place of enumeration, private, structure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G50a Non-School Qualification-Level of Education by Industry of Employment by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Industry of Employment by Sex, in General Community Profile (GCP), 2016 Census. Count of employed 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). G50 is broken up into three sections (G50a-G50c) this section contains 'Males Agriculture forestry and fishing Postgraduate Degree Level' - 'Females Accommodation and food services Advanced Diploma and Diploma Level'. 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, education, employment, g50a, gcp, general community profile, industry, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B05 Registered Marital Status by Age by Sex as at 2011-08-11

LGA11 based data for Age by Sex, and Registered Marital Status (excludes de facto marriage), 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
PHIDU - Cancer Incidence - Persons (LGA) 2010-2014

This dataset, released September 2020, contains data on the total cancer incidences during 2010-2014 by Colorectal Cancer, Melanoma of the skin, Lung cancer, Lymphoma cancer, Leukaemia cancer, Pancreatic cancer, and All cancers combined. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU from an analysis by the Australian Institute of Health and Welfare (AIHW) of the Australian Cancer Database (ACD) 2015. The ACD is compiled at the AIHW from cancer data provided by state and territory cancer registries: for further information on the ACD see link. AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA3-W21b Method of Travel to Work by Occupation-Census 2016

SA3 based data for Method of Travel to Work by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W21 is broken up into 2 sections (W21a - W21b), this section contains 'Two methods Bus and Ferry Managers' - 'Total Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, occupation, transport, travel method, w21b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P39a Non-School Qualification: Field of Study by Age by Sex-Census 2016

SA2 based data for Non-School Qualification: Field of Study by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over with a qualification (excludes overseas visitors). Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). P39 is broken up into three sections (P39a - P39c), this section contains 'Males Natural and Physical Sciences Age 15-24 years' - 'Females Management and Commerce Age 25-34 years'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, education, field of study, non-school, p39a, pep, place of enumeration profile, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B45A Occupation by Age by Sex as at 2011-08-11

SA3 based data for Occupation by Age by Sex, for 2011 Census. Count of employed 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 Business Establishments by ANZSIC Industries (Block) 2009

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the number of business establishments 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 2009.
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 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.



Tags: 2009, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
ABS - Index of Household Advantage and Disadvantage (IHAD) (SA2) 2016

This dataset presents information from 2016 at the household level; the percentage of households within each Index of Household Advantage and Disadvantage (IHAD) quartile for Statistical Area Level 2 (SA2) 2016 boundaries.
The IHAD is an experimental analytical index developed by the Australian Bureau of Statistics (ABS) that provides a summary measure of relative socio-economic advantage and disadvantage for households. It utilises information from the 2016 Census of Population and Housing.
IHAD quartiles: All households are ordered from lowest to highest disadvantage, the lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided up into four groups, depending on their score.
This data is ABS data (catalogue number: 4198.0) used with permission from the Australian Bureau of Statistics.
For more information please visit the Australian Bureau of Statistics.
Please note: 


AURIN has generated this dataset through aggregating the original SA1 level data (with calculated number of households/quartile) to SA2 level.


The number of occupied private dwellings, and number of households in each of the IHAD quartiles for each SA2 were calculated by aggregating the values of each of those specified columns from the SA1 dataset. Percentages of households in each of the IHAD quartiles were calculated for each SA2 from these aggregated totals.


A household is defined as one or more persons, at least one of whom is at least 15 years of age, usually resident in the same private dwelling. All occupants of a dwelling form a household. For Census purposes, the total number of households is equal to the total number of occupied private dwellings (Census of Population and Housing: Census Dictionary, 2016 cat. no. 2901.0).


IHAD output has been confidentialised to meet ABS requirements. In line with standard ABS procedures to minimise the risk of identifying individuals, a technique has been applied to randomly adjust cell values of the output tables.  These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.



Tags: socio-economic
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Solar Water Heater - Heat Pump (POA) 2018

This dataset presents the footprint of the number of installations of solar water heater (SWH) air source heat pump systems. The data spans the months of 2018 and includes a total for the year. 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 small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and 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.


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 28-02-2021.


Further information can be found at theRenewable Energy Target FAQ.


Air source heat pumps were introduced into the Small-scale Renewable Energy Scheme in 2005 as such there is no installation data available pre-2005 for this fuel source.
 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
AIHW - Specialist Homelessness Services Collection - Clients by Client Characteristics (SA4) 2018-2019

This dataset presents the number of distinct specialist homeless services clients by client characteristics. The client counts are based on the location where the client resided in the week before their first presentation of the 2018-19 financial year. The data is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 4 (SA4).
The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19.
For further information about this dataset, visit the Australian Institute of Health and Welfare - Technical Information.
Notes:


'Homeless' status is derived for a client based on the client's housing circumstances at the beginning of their first support period within the reference year. All other clients not meeting these criteria are considered to be at risk of homelessness (excluding clients who did not provide sufficient information to make this assessment). 


Housing circumstances are determined based on the client's type of residence, tenure and conditions of occupancy.


Rates are crude rates based on the Australian estimated resident population at 30 June of the reference year, as detailed in the online technical information.


Includes clients from 'Other territories' and those that have not provided location information.


Data presented have not been adjusted for partial or non-response (unweighted).


Clients are assigned to a region based on where they lived in the week before presenting to a SHS agency. Clients are assigned to only one region, based on the location details provided in the first support period in the reference year. Regions are defined by the 2016 Australian Statistical Geography Standard (ASGS).


AURIN has spatially enabled the original data and has excluded data from 'Unknown' SA4s.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
GCCSA-P33 Mortgage Repayment (Monthly) by Dwelling Structure-Census 2016

GCCSA based data for Mortgage Repayment (Monthly) by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings being purchased. Mortgage repayments are derived from responses to a number of questions and records the amount of money spent monthly paying off a mortgage. Includes dwellings being purchased under a shared equity scheme. 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, census, dwelling structure, monthly payments, mortagage repayments, mortgage, p33, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Offstreet Car Parking (Points) 2017

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 2017.
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: 2017, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
SA4-P37 Selected Labour Force, Education and Migration Characteristics by Sex-Census 2016

SA4 based data for Selected Labour Force, Education and Migration Characteristics by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons (excludes overseas visitors).  The data is by SA4 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, education, labour force, migration, p37, pep, place of enumeration profile, selected characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Early Childhood Development - Australian Early Development Census (PHN) 2015

This dataset, released December 2016, contains statistics on the Developmentally vulnerable on one or more domains, 2015; Developmentally vulnerable on two or more domains, 2015; Physical health and wellbeing domain - developmentally vulnerable/ at risk/ on track, 2015; Social competence domain - developmentally vulnerable/ at risk/ on track, 2015; Emotional maturity domain - developmentally vulnerable/ at risk/ on track, 2015; Language and cognitive (school based) domain - developmentally vulnerable/ at risk/ on track, 2015; Communication skills and general knowledge domain - developmentally vulnerable/ at risk/ on track, 2015.  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 2015 Australian Early Development Census (an AustralianGovernment Initiative)
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