AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G13b Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

GCCSA 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 Southeast Asian Austronesian Languages Other and speaks English Not well or not at all' - 'Females Speaks Korean Speaks and speaks English 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, census, english proficiency, g13b, gccsa, gcp, general community profile, language, sex, spoken at home
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Hospital Admissions - Procedure - 2012-2013

Total hospital admissions 2012/13, excluding same-day admissions for dialysis for kidney disease and well babies who are nine days old or less. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital by procedure type (tonsillectomy, myringotomy, hysterectomy, Caesarean section, birth, coronary artery bypass graft, coronary angioplasty, cardiac catheterisation, hip fracture, knee replacement, knee arthroscopy) for Public hospitals and All hospitals (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/.
Note: Data were not available for private hospitals in Tasmania, the Northern Territory or the Australian Capital Territory. Therefore the ‘all hospitals’ data for these areas has been omitted.
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30 June 2012 and 2013. 

Tags: admissions, hospital, lga profile 2015, phidu, procedures, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-W07 Industry of Employment by Year of Arrival in Australia-Census 2016

LGA based data for Industry of Employment by Year of Arrival in Australia, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. 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, arrival in australia, census, employment, industry, industry of employment, migration, overseas, w07, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G45b Labour Force Status by Sex of Parents by Age of Dependent Children for One Parent Families-Census 2016

LGA based data for Labour Force Status by Sex of Parent by Age of Dependent Children for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in one parent families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. G45 is broken up into 2 sections (G45a - G45b), this section contains 'Total Lone Parents Employed Worked Part-time Age Of Dependent Children 0-4 Years' - 'Total Lone Parents 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, dependent children, family, g45b, gcp, general community profile, labour force, lone parent, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G47a Non-School Qualification-Field of Study by Age by Sex-Census 2016

SA4 based data for Non-School Qualification: Field of Study by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G47 is broken up into three sections (G47a-G47c) this section contains 'Males Natural and Physical Sciences Age 15-24 years' - 'Females Management and Commerce Age 25-34 years'. 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, age, census, education , g47a, gcp, general community profile, non-school, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Australian Capital Territory Play Area Locations (Polygon) 2016

Location of playgrounds that are publicly managed by the ACT Government. Includes information about playground type (local, neighbourhood, central community, district), division name, location description, upgrade year, parking, usage, shade, list of features (eg climber, cubby, swing etc) and total structures. These assets are managed by City Presentation, Transport Canberra and City Services Directorate (TCCS) and Parks and Conservation Service, Environment and Planning Directorate (EPD). Privately managed playgrounds and playgrounds managed by other ACT Government Directorates are not included. Polygons in the Playarea dataset are more precisely recorded (defined by the softfall boundaries) than those in the Playground dataset. If a less precise but smaller dataset is suitable please refer to the Playground dataset. These assets are captured and maintained in the TCCS asset database through the works as executed (WAE) handover process or field audits.

Tags: ACT, Canberra, basketball, recreation, sport
Organization: Government of the Australian Capital Territory - Environment, Planning and Sustainable Development Directorate
ABS Census - E01 Age By Sex (SLA) 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 Statistical Local Areas (SLA) in Australia. 
This table contains data relating to age by 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: 1991, census, characteristics, community, e01, ecp, expanded, profiles, select
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B43A Industry of Employment by Age by Sex as at 2011-08-11

SA2 based data for Industry of Employment 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
Australian Capital Territory Basketball Court Locations (Polygon) 2016

This dataset contains the location of Basketball Courts at local parks or open spaces that are publicly managed by the ACT Government. Attributes include division name, location description, type (eg. half court, single court) and creation date. These assets are managed by City Presentation, Transport Canberra and City Services Directorate (TCCS). These assets are captured and maintained in the TCCS asset database through the works as executed (WAE) handover process or field audits

Tags: ACT, Canberra, basketball, recreation, sport
Organization: Government of the Australian Capital Territory - Environment, Planning and Sustainable Development Directorate
NT DIPL - Katherine Super Tuesday Bike Counts (Points) 2016

This dataset presents information and locations related to The Super Tuesday Bike Count event in Katherine for 2016. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers.
The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. 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.
Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. 
For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report.
Please note: 

Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.


Tags: bicycle
Organization: Northern Territory Government - Department of Infrastructure, Planning and Logistics
Mobility Australia - Queensland Monthly Ferry Origin-Destination Flow (SA2) 2020

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in Queensland (QLD), connected by public transport (PT) networks. The SA2 regions of Queensland connected by buses, trains, trams and ferries have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here.
Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets.
The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

Tags: human mobility, network analyses, transit networks, transport, urban
Organization: CSIRO
SA2-P31 Dwelling Structure-Census 2016

SA2 based data for Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of Private dwellings and Persons in occupied private dwellings. 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, dwelling structure, dwellings, p31, pep, persons, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Solar Water Heater - Heat Pump (POA) 2005

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 2005 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.


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.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
ABS Census - B09 Birthplace (Regions) By Sex (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to regions of birth by 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 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 'inadequately described', 'at sea' and 'not elsewhere classified'.


Tags: 1991, b09, basic community profile, bcp, birthplace, census, origins, place of enumeration, region
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NSW DPIE - Projections 2016 - Population by Ages (LGA) 2011-2036

This dataset presents projected population by ages for 5-year periods between the years of 2011 and 2036 for the state of New South Wales (NSW). The data is presented as aggregations following the Australian Statistical Geography Standard (ASGS) 2016 Local Government Areas (LGA).
Population projections provide a picture of the population as it may develop in future years. They provide an indication of the size and age-sex structure of the future population if specified assumptions about future fertility, mortality and migration are realised. 
Population projections are not forecasts and do not attempt to predict the impact that future government policies, changing economic circumstances or other factors (whether in Australia or overseas) might have on demographic behaviour.
For more information please read the Population Projections User Guide.
Please note: 


AURIN has spatially enabled the original data.


The data has been transposed to present the population age groups as distinct columns and use a compulsory filter to select the projection year.


Population numbers are rounded to the nearest 50. They should not be taken to be accurate to that level of detail.



Tags: population
Organization: Government of New South Wales - Department of Planning, Industry and Environment
ABS - Jobs In Australia - All Jobs (SA4) 2011-2018

This dataset presents aggregated data regarding all of the jobs within the relevant statistical regions, including the number of employee jobs and median employee income per job by sex, classified by Statistical Area Level 4 (SA4). The data spans from 2011-12 to 2017-18 financial year and is aggregated to the 2016 SA4 boundaries.
Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers.
The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. 
For more information on the release please visit the Australian Bureau of Statistics
This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.
The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.
AURIN has spatially enabled the original data. The following additional changes were made:


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.


Total values may be higher than the sum of the published components due to this confidentialisation.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B08B Ancestry by Birthplace of Parents as at 2011-08-11

SA3 based data for Ancestry, for 2011 Census. Count of all persons and responses 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 - B37 Labour Force Status (Part-Time/Full-Time) By Sex Of Parents (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to labour force status (part-time/full-time) by sex of parents. Counts are of two parent families, 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.
Please note:


(a) Comprises persons who did not state their labour force status.


(b) Full-time is defined as having worked 35 hours or more in the main job held last week.


(c) Comprises employed persons who did not state their hours worked.



Tags: 1991, b37, basic community profile, bcp, census, employment status, parents, place of enumeration, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics