AndreaBozzo/ceres-open-data-index huggingface dataset:
City of Melbourne CLUE Residential Dwellings (Points) 2012

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows dwelling data based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown. The data covers the year period of 2012.
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, building, census, clue, land, melbourne, residential, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Prevalence of Chronic Diseases (LGA) 2017-2018

This dataset, released January 2020, contains for the time period of 2017-2018 the Estimated population, aged 18 years and over with diabetes mellitus; Estimated male population with mental and behavioural problems; Estimated female population with mental and behavioural problems; Estimated population with mental and behavioural problems;  Estimated population with heart, stroke and vascular disease; Estimated population with asthma; Estimated population with chronic obstructive pulmonary disease; Estimated population with arthritis;  Estimated population with osteoporosis;  The data is by Local Government Area (LGA) 2016 geographic boundaries.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
City of Melbourne CLUE Business Establishments by ANZSIC Industries (Block) 2007

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 2007.
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: 2007, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
ABS Census - C31  Monthly Mortgages ($) (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 monthly mortgage payments. 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, c31, census, monthly, mortgage, payments, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who are Overweight Crude (%) (PHN) 2011-2015

This dataset presents the footprint of the crude percentage of adults who are overweight. Adults were classified as overweight if their Body Mass Index (BMI) was greater than or equal to 25 and less than 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 years of 2011-2012 and 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.


The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences.


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
LGA-G49a Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

LGA based data for Non-School Qualification: Level of Education by Occupation 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). G49 is broken up into three sections (G49a-G49c) this section contains 'Males Postgraduate Degree Level Postgraduate Degree Level Not further defined Occupation Managers' - 'Females Graduate Diploma and Graduate Certificate Level Graduate Diploma and Graduate Certificate Level Not further defined Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, education, g49a, gcp, general community profile, non-school, occupation, qulaification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2015

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months of 2015 and includes the 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 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:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


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). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
SA3-based B40B Non-School Qualification: Level of Education by Age by Sex as at 2011-08-11

SA3 based data for Non-School Qualification: Level of Education by Age by Sex, for 2011 Census. Count of persons aged 15 years and over with a qualification on Census night based on place of usual residence. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). 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 - Families (PHA) 2016

This dataset, released December 2017, contains family statistics relating to Single parent families with children aged less than 15 years, 2016; Jobless families with children aged less than 15 years, 2016; Children aged less than 15 years in jobless families, 2016; Children in families where the mother has low educational attainment, 2016. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016; the ABS Census of Population and Housing, August 2016 (unpublished) data.
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, Family, HEALTH SCIENCES, HUMAN SOCIETY, Public health, household studies 
Organization: Torrens University Australia - Public Health Information Development Unit
GCCSA-I10a Tenure & Landlord Type by Dwelling Structure by Indigenous Status of Household-Census 2016

GCCSA based data for Tenure and Landlord Type by Dwelling Structure by Indigenous Status of Household, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of all occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. A household with Aboriginal and/or Torres Strait Islander person(s) is any household that had at least one person of any age as a resident at the time of the Census who identified as being of Aboriginal and/or Torres Strait Islander origin. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. I10 is also broken up into two sections (I10a – I10b), this section contains ' Households with Aboriginal and or Torres Strait Islander Persons Owned outright Dwelling structure Separate house’ - 'Other households Rented State or territory housing authority Dwelling structure 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, atsip, census, dwelling structure , household type, i10a, indigenous status, landlord type, tunure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G09f Country of Birth by Age by Sex-Census 2016

LGA based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Females Vietnam Age 0-4 years' - 'Persons Germany Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, age, birthplace, census, country of birth, g09f, gcp, general community profile, lga, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B42B Labour Force Status by Age by Sex as at 2011-08-11

SA2 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
Ookla - Network Performance - Mobile (Polygon) Q4 2021

This data set provides mobile (cellular) network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy.
For more information please see the Ookla Github repository or the Registry of Open Data on AWS.
Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.
AURIN has generated a subset corresponding to the intersection with the extent of Australia. It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94).

Organization: Ookla
City of Melbourne CLUE Building Information (Point) 2009

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows selected building attributes including location, construction year, refurbished year, number of floors above ground, predominant space use, bicycle/shower facilities and building accessibility. Building accessibility data is collected to track accessibility for internal City of Melbourne purposes. This data is provided as a community service by the City of Melbourne. It is not and does not purport to be a complete guide. There may be errors or omissions. The data covers the year period of 2009.
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: 2009, accessibility, building, census, clue, information, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
VIC CSA - Crime Statistics - Offences Recorded by Offence Type (LGA) 2008-2017

This dataset presents the footprint of the number of offences recorded on the Victoria Police Law Enforcement Assistance Program (LEAP). Recorded offences include any criminal act or omission by a person or organisation for which a penalty could be imposed by the Victorian legal system. The data spans the years ending September in the period of 2008 to 2017 and is aggregated to 2011 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).
The CSA recorded crime collection includes all offences that are reported to, and detected by, Victoria Police and recorded on the LEAP database. The scope and coverage of the data, however, is not representative of all crime that occurs in Victoria. Some crimes may not be recorded on LEAP, not be reported to police, or the responsibility for responding to certain offences may lie with another agency. Recorded offence data are compiled on the basis of the date that the offence was created on the LEAP database, rather than the date the offence was detected by, or reported to police. The creation date may not be the date when the offence occurred, or the date when the offence came to the attention of police.
For further information about this dataset and related statistics, visit the data source:Crime Statistics Australia.
Please note:


AURIN has spatially enabled the original data.


Recorded crime statistics are based on data extracted by Victoria police on the 18th day after the reference period, and are subject to movement between releases.


The offences in the dataset are grouped according to the CSA offence classification.


The data excludes offences recorded at Justice institutions and immigration facilities, Unincorporated Victoria and where the geographic location is unknown or outside of Victoria.


To maintain confidentiality, sensitive offence counts for subdivisions 'A10 Homicide and related offences' and 'A30 Sexual offences' with a value of 1 to 3 are given a value of 2 to calculate totals.



Tags: authority, population
Organization: Government of Victoria - Crime Statistics Agency
LGA-P22b Unpaid Child Care by Age by Sex-Census 2016

LGA based data for Unpaid Child Care 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 caring for a child/children (under 15 years) without pay. P22 is broken up into 2 sections (P22a - P22b), this section contains 'Persons 55-64 years Unpaid child care Cared for own child children' - 'Persons Total 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, age, census, child care, p22b, pep, place of enumeration profile, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Bar, Tavern and Pub Patrons Capacity (Point) 2008

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 dining seats (classified by indoor/outdoor) for establishments with their trading name, industry (ANZSIC4) classification, location, CLUE block and small area designation as points which represent a single business. The data covers the year period of 2008.
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: 2008, capacity, census, clue, employment, hospitality, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
LGA15 Education - Not Attending School at Year 10 or Below - 2011

People who left school at Year 10 or below, or did not go to school, 2011 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. 
Source: Compiled by PHIDU based on ABS Census 2011 data.

Tags: early school leavers, education, lga profile 2015, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit