AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS Census - B20 Age By Labour Force Status (Part-Time/Full-Time) By Sex (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 age by labour force status (part-time/full-time) by sex. Counts are of persons aged 15 years or more, 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) Full-time is defined as having worked 35 hours or more in the main job held last week.


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


(c) Comprises persons who did not State their labour force status.



Tags: 1991, b20, basic community profile, bcp, census, employment, place of enumeration, work, work load
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Patient Experiences - Adults who saw a GP More than 12 Times (%) (PHN) 2015-2017

This dataset presents the footprint of the percentage of adults who saw a GP more than 12 times in the preceding 12 months. The data spans the years of 2015-2017 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 Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables.
Please note:


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


Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.


As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion.


Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population.


Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN.


The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities).


Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings.


Rows that contain a "#" in "Interpret with Caution" indicates that the estimate has a relative standard error of 25% to 50%, which indicates a high level of sampling error relative to its value and must be taken into account when comparing this estimate with other values.


NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA4-based B16A Highest Year of School completed by Age by Sex as at 2011-08-11

SA4 based data for Highest Year Of School Completed By Age by Sex, for 2011 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. 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 - Potentially Preventable Admissions - Acute Conditions  (LGA) 2016-2017

This dataset, released November 2018, contains data on the number of Potentially preventable hospitalisations - Acute conditions, 2016/17. 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 Stateand Territory health departments for 2016/17; and the ABS Estimated Resident Population, 30 June 2016.
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
LGA15 Hospital Admissions by Hospital Type and Sex - 2012-2013

Total female/male/people admitted to public/all hospitals in 2012-13, excluding admissions for dialysis for kidney disease. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital (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: hospital admissions, hospital type, lga profile 2015, phidu, public health information development unit, sex, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
SA4-W11b Industry of Employment by Hours Worked by Sex-Census 2016

SA4 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over.  Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Males Total Number of hours worked None' - 'Females Other services Number of hours worked 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, employment, industry, industry of employment, w11b, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G22a Unpaid Child Care by Age by Sex-Census 2016

SA4 based data for Unpaid Child Care by Age by Sex, in General Community Profile (GCP), 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. G22 is broken up into 2 sections (G22a - G22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 85 years and over Cared for 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, age, census, child care, g22a, gcp, general community profile, sa4, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Monthly Rail Origin-Destination Flow (SA2) 2019

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
City of Melbourne CLUE Employment by CLUE Industries (Block) 2006

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2006.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed.
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.


Suppressed values have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2006, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Admissions - Same-day Renal Dialysis  (LGA) 2014-2015

This dataset, released December 2017, contains data relating to hospital admissions due to same-day renal dialysis by hospital type, 2014/15. 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 Stateand Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30 June 2014and 2015.
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
ABS Census - B18 Year Qualification Obtained By Sex (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 the year a qualification was obtained by sex. Counts are of persons aged 15 years or more with a qualification, 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, b18, basic community profile, bcp, census, education, graduation, place of enumeration, qualification, year received
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P37 Selected Labour Force, Education and Migration Characteristics by Sex-Census 2016

SA3 based data for Selected Labour Force, Education and Migration Characteristics by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons (excludes overseas visitors).  The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, education, labour force, migration, p37, pep, place of enumeration profile, selected characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Persons (LGA) 2019

This dataset, released September 2020, contains the total estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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 ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - C08  Religious Denomination (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 religious denomination. 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, c08, census, denomination, place of enumeration, religion
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Measures of Environmental Inequality across Culturally and Linguistically Diverse (CALD) Communities (SA1 Level) (2001)

Measures of the environmental inequality among Culturally and Linguistically Diverse (CALD) populations derived from the time series extracted from Landsat satellite images in the years 2001, 2006, 2011, 2016, 2021, including land surface temperature, urban heat intensity index, NDVI (normalised difference vegetation index) and NDBI (normalised difference built-up index) for each SA1. The time-series datasets were retrieved on Google Earth Engine using ABS SA1 2021 boundary.

Tags: Environmental inequality, NDBI, NDVI, land surface temperature, normalised difference built-up index, normalised difference vegetation index, time-series, urban heat intensity index
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University
City of Melbourne CLUE Building Information (Point) 2002

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 2002.
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: 2002, accessibility, building, census, clue, information, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
GCCSA-P43a Occupation by Age by Sex-Census 2016

GCCSA based data for Occupation by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P43 is broken up into two sections (P43a and P43b), this section contains 'Males 15-19 years Occupation Managers' - 'Females Total 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, age, census, employment, occupation, p43a, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DELWP - Victoria in Future 2016 - Number of Households by Household Type (LGA) 2011-2031

This dataset is the 2016 release of the Victoria in Future series of data and presents the number of households by household types for the state of Victoria. The data is presented in 2011 Local Government Area (LGA) boundaries and covers each fifth year for the years 2011 to 2031.
The Victoria in Future series is a projection of the ERP for LGAs and Victoria in Future Small Areas (VIFSA) for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset within the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.
Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups), households and dwellings (including average household sizes and dwelling occupancy rates).
Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take account of current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.
For more information please visit the DELWP VIF Portal.
Notes: 


AURIN has spatially enabled the original data.


These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).


The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.


The data tables have been condensed to one dataset to allow longitudinal analysis of the data through year-period filters.



Tags: population
Organization: Government of Victoria - Department of Environment Land Water and Planning