AndreaBozzo/ceres-open-data-index huggingface dataset:
SA2-W01b Labour Force Status by Age by Sex-Census 2016

SA2 based data for Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. 'Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night. W01 is broken up into 2 sections (W01a - W01b), this section contains 'Persons 75 years and over Employed Worked full-time' - 'Persons Total Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, labour force, w01b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G33 Tenure and Landlord Type by Dwelling Structure-Census 2016

GCCSA based data for Tenure and Landlord Type by Dwelling Structure in General Community Profile (GCP), 2016 Census. Count of all occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. 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, g33, gccsa, gcp, general community profile, landlord type, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E10 Birthplace (Countries) Of Mother By Birthplace Of Father (LGA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to birthplace of mother by birthplace of father. Counts are of all australian born 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 LGA 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.
Please note:


(a) Comprises England, Scotland, Wales, Northern Ireland, Ireland, South Africa, Canada, USA and New Zealand.


(b) Includes 'inadequately described', 'at sea' and 'not elsewhere classified'.


(c) Includes England, Scotland, Wales and Northern Ireland.


(d) Includes the Baltic States



Tags: 1991, birthplace, census, community, e10, ecp, expanded, parents, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AEDC - Health Subdomain 2 (SA3) 2009-2018

This dataset contains information from the second health subdomain 'Vulnerable - Physical independence', of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 3 (SA3) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


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


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


Please Note:


AURIN has spatially enabled the original data.


AEDC results for Daly - Tiwi - West Arnhem (SA3 code 70203) and East Arnhem (SA3 code 70204) are combined in the original data. AURIN has assigned the results for these regions to the boundary of Daly - Tiwi - West Arnhem and excluded the boundary of East Arnhem from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
GCCSA-W05b Status in Employment by Country of Birth of Person by Sex-Census 2016

GCCSA based data for Status in Employment by Country of Birth of Person by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W05 is broken up into 4 sections (W05a - W05d), this section contains 'Males United States of America Owner managers of unincorporated enterprises' - 'Females South Africa 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, birhtplace, census, country of birth, employment, employment status, w05b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
TfNSW - Transport Facility Locations (Point) 2020

Location facilities data for train stations, wharves &amp; bus interchanges.
For more information about this dataset, please visit:


Transport for NSW Open Data Hub.


Data Dictionary.


AURIN has spatially enabled the dataset by creating geometries from the latitude and longitude columns.

Tags: Bus networks, Rail networks, Transport, Transport Accessibility, Transport Infrastructure
Organization: Government of New South Wales - Transport for NSW
Bicycle Network - Super Sunday Recreation Bike Counts (Points) 2011-2018

This dataset contains cycling volume, movement flow and demographic data for the 'Super Sunday' Recreation Bike Count event over the years 2011 to 2018. The counts are presented as individual points which relate to the location where the counts were visually undertaken by volunteers. The data covers the following Local Government Areas (LGAs):


Boroondara


Monash


Moonee Valley


Moreland


Whitehorse


Yarra


Bicycle Network's 'Super Counts' programs count the volumes of bicycles and other active travellers, and their movements on roads and paths. The Super Counts program comprises two counting events: 'Super Tuesday' commuter count and the 'Super Sunday' recreation count. Super Tuesday is a two-hour count conducted during a Tuesday morning peak period in March (7-9am); Super Sunday is a four-hour count conducted during a Sunday morning-afternoon period in November (9-1pm).
For more information please visit Bicycle Network Bike Counts.
Bicycle counts help track progress, and identify areas of improvement to inform active transport policy with the goal of making it easier for more people to choose active modes everyday. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.
AURIN has converted dates to ISO 8601 format, and have spatially enabled this dataset by creating geometries from the latitude and longitude columns with PostGIS.

Tags: Cycling, Green Transport, Transport, Transport Surveys
Organization: Bicycle Network
PHIDU - Disabilities (LGA) 2016

This dataset, released September 2017, contains statistics for disabilities relating to Assistance to people with a disability (unpaid), 2016; People with a profound or severe disability (includes people in long-term accommodation), All ages, 2016; People with a profound or severe disability and living in the community, All ages, 2016; People with a profound or severe disability (includes people in long-term accommodation), 0 to 64 years, 2016; People with a profound or severe disability and living in the community, 0 to 64 years, 2016; People with a profound or severe disability (includes people in long-term accommodation), 65 years and over,2016; People with a profound or severe disability and living in the community, 65 years and over, 2016. 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 the ABS Census 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: Allied health, HEALTH SCIENCES, HUMAN SOCIETY, rehabilitation science, rehabilitation science not elsewhere classified
Organization: Torrens University Australia - Public Health Information Development Unit
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Advantage and Disadvantage (LGA) 2006

This data is Local Government Areas (LGA) 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
City of Melbourne CLUE Offstreet Car Parking (Points) 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 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 2008.
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: 2008, capacity, census, clue, land, melbourne, offstreet, parking, use
Organization: Local Government of Victoria - City of Melbourne
OpenStreetMap - Bodies of Water - Area (Australia) 2021

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display Bodies of Water as an area (polygon) within Australia. 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.
For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki.
Please note:


The original data for this dataset has been downloaded from Geofabrik on 02 December 2021.


Due to changes in tagging, previous versions of OSM may not be comparable with this release.



Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: OpenStreetMap
SA1-based B04B Age by Sex as at 2011-08-11

SA1 based data for age by sex, 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
AIHW - Medicare Benefits Schedule Statistics - Number of GP Attendances in Aged-care Homes (PHN) 2013-2017

This dataset presents the footprint of the number of general practitioner (GP) attendances in residential aged-care facilities per patient who received at least one GP attendance in a facility. This has been calculated with the total services from eligible claims (not including any bulk-billed incentive items or other top-up items), divided by the count of patients where the sum of GP attendances in residential aged-care facilities is greater than or equal to 1. The data spans the financial years of 2013-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. These claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim is processed by the Department of Human Services.
For further information about this dataset visit the data source: Australian Institute of Health and Welfare - Medicare Benefits Schedule GP and Specialist Attendances and Expenditure in 2016-17 Data Tables.
Please note:


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


MBS claims data do not include services that were provided free of charge to public patients in hospitals or were subsidised by the Department of Veterans' Affairs, compensation arrangements or through other publicly funded programs including jurisdictional salaried GP services provided in remote outreach clinics.


A claim is classified as a GP attendance in a residential aged-care facility if the Medicare service is one of the following codes: 00020, 00035, 00043, 00051, 00092, 00093, 00095, 00096, 05010, 05028, 05049, 05067, 05260, 05263, 05265, 05267, 00731, 00903, 02125, 02138, 02179, 02220.


GP attendances in residential aged-care facilities comprise only GP attendances provided to patients in a residential aged-care facility.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SNAMUTS - Route Segments (Polyline) 2011

This dataset presents the Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) route segments for the year of 2011. Route segments are a public transport link between two adjacent activity nodes or other network nodes. A numbered public transport route is usually made up of a sequence of consecutive route segments
The SNAMUTS methodology has been developed as a planning and decision-making support tool. It determines accessibility performance from a user perspective, bearing in mind that different users sometimes have different needs: some may value speed more than anything else, some may require barrier-free access as their first priority, others may be drawn primarily to services that are legible and have a high profile in the urban realm. Good accessibility is often the result of a balance and integration of these sometimes competing, sometimes complementary claims on the usability of the land use-transport system. The analysis includes a set of tasks and measurements that highlight the contribution of the public transport network and service development from a range of perspectives.
These are known as the eight key SNAMUTS indicators, they include:


Service Intensity


Closeness Centrality


Degree Centrality


Network Coverage


Contour Catchments


Betweenness Centrality


Resilience


Nodal Connectivity


For more information, please refer to the SNAMUTS website.
Please note:


This data provides context to the corresponding indicator datasets: "SNAMUTS - Indicators by Activity Nodes (Point) 2011" or "SNAMUTS - Indicators by Areas (SA1) 2011".


Some routes are composed of disjoint line segments and as such the data should be used for visualisation purposes only.



Tags: transport
Organization: Spatial Network Analysis For Multi-Modal Urban Transport Systems
ABS Census - U15 Age By Proficiency In English By Sex (SLA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to age by proficiency in english by sex. Counts are of persons aged 5 years or more who speak a language other than english at home, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: 1991, census, english, lga, population, proficiency, residence, u15, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P23b Relationship in Household by Age by Sex-Census 2016

SA3 based data for Relationship in Household by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Other non-classifiable' households.  Includes same sex couples. P23 is broken up into 2 sections (P23a - P23b), this section contains 'Females Unrelated individual living in family household Age 15-24 years' - 'Person 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, age, census, composition, household, p23b, pep, place of enumeration profile, relationship, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - National AFFR Facilities 2012

The aviation fire fighting and rescue facilities dataset (AFFR) was digitized in 2012 from aerial photography, orthophotos and satellite imagery held within Geoscience Australia and presents the point location of these facilities. The primary information source used to identify and attribute the dataset was the Airservices Australia website.
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: authorities, infrastructure
Organization: Government of the Commonwealth of Australia - Geoscience Australia
City of Melbourne CLUE Cafes, Restaurants and Bistros Seats (Points) 2013

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents business establishments with their trading name, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation. as points which represent a single business. The data covers the year period of 2013.
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: 2013, capacity, census, clue, hospitality, land, melbourne, seats, use
Organization: Local Government of Victoria - City of Melbourne
SA3-G09a Country of Birth by Age by Sex-Census 2016

SA3 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 'Males Afghanistan Age 0-4 years' - 'Males Iraq Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, birthplace, census, country of birth, g09a, gcp, general community profile, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics