AndreaBozzo/ceres-open-data-index huggingface dataset:
OpenStreetMap - Lines (Australia) 2018

This line (polyline) dataset was extracted from OpenStreetMap across the geographic area of Australia on 21 May 2018. It has been pruned to include only those features that have been deemed to be publicly traversable (e.g., streets and footpaths). Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. Please contact AURIN if you would like to obtain a list of features that have been pruned from the original dataset that were deemed not traversable. Also note that due to changes in tagging, previous AURIN versions of this dataset are not comparable with this release. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. You are free to use this dataset for any purpose as long as you credit OpenStreetMap and its contributors. OpenStreetMap contributors maintain data about roads, trails, railway stations, and much more. Emphasising local knowledge, OpenStreetMap's community is diverse, passionate, and growing every day. Their contributors include enthusiast mappers, GIS professionals, engineers running the OSM servers, and more. If you find any errors/omissions in this dataset, please update OpenStreetMap to ensure it can be communicated to the broader community. This dataset was downloaded from Geofabrik on 7 April 2017. 

Tags: road, street, walkability, walkable
Organization: OpenStreetMap
LGA-W22d Method of Travel to Work by Age by Sex-Census 2016

LGA based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Persons One method Tram includes light rail 15-24 years' - 'Persons Two methods Total two methods 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, transport, travel method, w22d, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Additional Rural Village Land 18/01/2014 for NSW

Additional Rural Village Land is land zoned R5 large lot residential (or equivalent) that meets defined 'village' criteria. It is proposed that coal seam gas activities will be prohibited in and within two kilometres of these areas. Additional Rural Village relates directly to and adopts the accuracy of its reference dataset, Land and Property Information DCDB.

Tags: NSW, New South Wales, planning, rural, village
Organization: Government of New South Wales - Department of Planning and Environment
DSS - Quarterly Payment Recipients (LGA) September 2016

This dataset presents counts of payment recipients by payment type for the quarter ending September 2016. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2014.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '&lt;5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.


Individuals who live overseas, individuals who are without a valid home address and individuals who only have a postal address cannot be assigned to a locational boundary. State/territory totals derived from Local Government Area data will not match actual state and territory totals, due to different statistical geography methodologies.


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


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


'&lt;5' has been assigned a value of '-1' within the data


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


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



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
SA1-P26 Total Family Income (Weekly) by Family Composition-Census 2016

SA1 based data for Total Family Income (Weekly) by Family Composition, in Place of Enumeration Profile (PEP), 2016 Census. Count of families in family households. Total Family Income (Weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. Families includes same-sex couple families. Household excludes 'Lone person', 'Group', ‘Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. 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, census, family composition, family income, p26, pep, place of enumeration profile, sa1, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G17a Total Personal Weekly Income by Age by Sex-Census 2016

SA1 based data for Total Personal Income (Weekly) by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. G17 is broken up into 3 sections (G17a - G17c), this section contains 'Males Negative Nil income Age 15-19 years' - 'Females $300-$399 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, g17a, gcp, general community profile, income, personal income, sa1, sex, weekly
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B31 Annual Parental Income (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 annual parental income. Counts are of Families with offspring, 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, annual income , b31, basic community profile, bcp, census, parental earnings, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Solar Water Heater - Solar Panel (POA) 2007

This dataset presents the footprint of the number of installations of solar water heater (SWH) solar panel systems. The data spans the months of 2007 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:


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.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Advantage and Disadvantage (CD) 2006

This data is Census Collection Districts (CD) based Socio-Economic Indexes for Areas (SEIFA) Index of Advantage/Disadvantage (IRSAD) - Is a continuum of advantage to disadvantage. Low values indicate areas of disadvantage; and high values indicate areas of advantage. 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-based B10A Country of Birth of Person by Year of Arrival in Australia as at 2011-08-11

SA1 based data for Year of Arrival in Australia, 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
VIC DET - VCAMS Indicators - 16.3: Percentage of Early School Leavers Employed in 6 Months (LGA) 2009-2015

This dataset presents indicator 16.3: Percentage of early school leavers who are unemployed 6 months on after leaving school. The data covers the years of 2009-2015 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 On Track Survey.
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
AIHW - Health Risk Factors - Adults who are Daily Smokers Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who are daily smokers. A current daily smoker was defined as a person who smokes one or more cigarettes, roll-your-own cigarettes, cigars or pipes at least once a day. Chewing tobacco, electronic cigarettes (and similar) and the smoking of non-tobacco products were excluded. 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 PHN102 and PHN107, should be interpreted with caution, as the estimates have a relative standard error of 25% to 50% and should be used with caution.


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
PHIDU - Emergency Department Presentations - Non-Urgent (LGA) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for non-urgent by principal diagnosis, 2017/18. Presentations include Non-urgent presentations - Total; Non-urgent presentations for certain infectious and parasitic diseases; Non-urgent presentations for mental and behavioural disorders; Non-urgent presentations for diseases of the circulatory system; Non-urgent presentations for diseases of the respiratory system; Non-urgent presentations for diseases of the digestive system; Non-urgent presentations for diseases of the musculoskeletal system and connective tissue; Non-urgent presentations for diseases of the genitourinary system; Non-urgent presentations for injury, poisoning and certain other consequences of external causes; Non-urgent presentations for factors influencing health status and contact with health services; Non-urgent presentations for other diseases/ conditions, 2017/18.
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 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
SA4-G13a Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA4 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 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, english proficiency, g13a, gcp, general community profile, language, language spoken at home, sa4, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W22d Method of Travel to Work by Age by Sex-Census 2016

SA4 based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Persons One method Tram includes light rail 15-24 years' - 'Persons Two methods Total two methods Total'. 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, transport, travel method, w22d, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscape - Darwin Buildings (Polygon) June 2022

This dataset is the June 2022 release of Geoscape Planning for a single SA2 area (Darwin City) with SA2 code (71002).
Buildings is a spatial dataset which represents Australia's built environment derived from remotely sensed imagery and aggregated data sources. The Buildings dataset has relationships with the G-NAF, Cadastre, Property and Administrative Boundaries products produced by Geoscape Australia. Users should note that these related Geoscape products are not part of Buildings.
For more information regarding Geoscape Buildings, please refer to the Data Product Description and the June 2022 Release Notes.
Please note: As per the licence for this data, the coverage area accessed by you can not be greater than a single Level 2 Statistical Area (SA2) as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN.
Buildings is a digital dataset representing buildings across Australia. Data quality and potential capture timelines will vary across Australia based on two categories, each category has been developed based on a number of factors including the probability of the occurrence of natural events (e.g. flooding), population distribution and industrial/commercial activities. Areas with a population greater than 200, or with significant industrial/commercial activity in a visual assessment have been defined as 'Urban' and all other regions have been defined as 'Rural'. This dataset has been restricted to the Darwin City SA2 by AURIN.

Tags: BUILT ENVIRONMENT AND DESIGN, Building
Organization: Geoscape
SA4-based B42A 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
ABS Census - T02 Age By Sex (SLA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Statistical Local Areas (SLA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to the ages of people by their sex. Counts are of all persons, 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: age, census, community, persons, profile, t02, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics