AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Alcohol and Other Drug Treatment Services - Clients by Client Type and Sex (%) (PHN) 2016-2017

This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by client type and sex. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report.
For further information about this dataset, please visit: 


Australian Institute of Health and Welfare - AODTS Data Tables.


Alcohol and other drug treatment services NMDS 2016-17 Quality Statement.


Please note:


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


The PHN of the client was assigned based on the reported postcode of the client using the Australian Bureau of Statistics' (ABS) Postal Area 2013 to Primary Health Network 2015 concordance file. Clients with an invalid postcode were assigned to the PHN group 'PHN Unallocated' and removed from the analysis.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA1-P09 Country of Birth by Sex-Census 2016

SA1 based data for Country of Birth of Person by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. The list consists of the most common 35 Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, p09, pep, place of enumeration profile, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who are Overweight Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who are overweight. Adults were classified as overweight if their Body Mass Index (BMI) was greater than or equal to 25 and less than 30. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial 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.


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
ABS - Jobs In Australia - All Jobs (SA2) 2014-2019

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 2 (SA2). The data spans from 2014-15 to 2018-19 financial year and is aggregated to the 2016 SA2 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.


Totals are higher than the sum of their components due to data which could not be classified to component characteristics.



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
NT DIPL - Alice Springs Super Tuesday Bike Counts (Points) 2019

This dataset presents information and locations related to The Super Tuesday Bike Count event in Alice Springs for 2019. 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
VIC CSA - Family Violence - Domestic/Family/Sexual Violence Rate (LGA) June 2016-June 2018

This dataset presents the footprint of the rates of Victorian domestic/family/sexual violence patients retrieved from Ambulance Victoria. The data spans the reference period of June 2016 to June 2018 and is aggregated to 2011 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).
The Victorian Family Violence Database is a repository for a range of different datasets relating to family violence clients and service use, extracted from the data holdings of a variety of government agencies.
The rate of patients per 100,000 population is calculated using the count of events occurring within a LGA and the Estimated Resident Population (ERP) of that LGA. The rate is calculated using the following formula: Rate per 100,000 = (Number of events/ERP count) x 100,000. ERPs are based on populations provided by the Australian Bureau of Statistics (ABS).
For further information about this dataset and related statistics, visit the data source:Crime Statistics Australia.
Please note:


AURIN has spatially enabled the original data.


Data concerning family violence and sexual violence cannot easily be disaggregated. The data includes events of sexual violence by a non-familial perpetrator.


The data used in these data tables count the number of records provided by Ambulance Victoria. This translates to the number of patients (non-unique) who were the subject of an event which involved Ambulance Victoria attendance.


To maintain confidentiality, person-based counts with a value of 3 or less are given a value of 2 to calculate totals.



Tags: authority, population
Organization: Government of Victoria - Crime Statistics Agency
Standard Instrument Local Environmental Plan (LEP) - Floor Space Ratio (FSR) 12/08/2016 for NSW

This data identifies the maximum floor space ratio (FSR) for a building on certain land. The floor space ratio of buildings on a site is the ratio of the gross floor area of all buildings within the site to the site area. Clause 4.4 deals with the calculation of floor space ratio and site area. The maximum floor space ratio for a building may be subject to certain exceptions under other provisions of the Local Environment Plan (LEP). The FSR dataset defines the maximum allowed floor space ratio for individual properties, or how much floor area can be built on that property. FSR is the ratio of a building's floor area to the size of land that the building sits on, and is calculated by dividing the total floor area of a building by the total land area of the property (known as the site area). The original GIS data was captured by local councils, DP&amp;I and contractors and provided in accordance with the DP&amp;I's Standard Requirements for GIS LEP data and Standard Technical Requirements for LEP maps. Before the LEP is notified on the NSW Legislation website, the mapping is checked by DP&amp;I and the Parliamentary Council's Office to ensure that it is consistent with these standards. After the LEP is notified, the GIS data is quality controlled using an ISO 9001-Quality-Certified, Quality Management System and incorporated into the Statewide dataset. The Floor Space Ratio data relates directly to and adopts the accuracy of its reference dataset, Land and Property Information DCDB.
 The GIS data may be subject to change as a part of quality control, or if the LEP is amended. Please confirm dates of respective features before use as this dataset has a large temporal extent.

Tags: FSR, environment, floor space ratio, human, instrument, land use, new south wales, nsw, planning
Organization: Government of New South Wales - Department of Planning and Environment
SA3-G22b Unpaid Child Care by Age by Sex-Census 2016

SA3 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 'Persons 85 years and over Did not provide child care' - 'Persons 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, child care, gcp, general community profile, sa3, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W18a Occupation by Total Personal Income (weekly) by Non-School Qualification: Level of Education-Census 2016

SA2 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification: Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Higher qualifications Negative Nil income Managers' - 'Certificate level Not further defined $300-$399 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, education, income, occupation, personal income, qualification, w18a, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W02a Status in Employment by Age by Sex-Census 2016

SA4 based data for Status in Employment by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W02 is broken up into 2 sections (W02a - W02b), this section contains 'Males 15-19 years Employee' - 'Persons 40-44 years Owner managers of incorporated enterprises'. 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, employment status, w02a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NDIA - Number of NDIS Participants (LGA) Dec 2019 - Sep 2021

This dataset presents the footprint of the number of active participants with an approved plan in the National Disability Insurance Scheme (NDIS). The data is current as at 30 Sep 2021, includes quarterly snapshots beginning from Dec 2019, and is aggregated to Local Government Area (LGA) 2011.  The geographical boundaries are sourced from the Australian Bureau of Statistics (ABS) website.
The National Disability Insurance Agency (NDIA) is an independent statutory agency. Their role is to implement the NDIS, which will support a better life for hundreds of thousands of Australians with a significant and permanent disability and their families and carers.
For further information about this dataset, please visit the NDIA.
Please note:


The State/Territory groupings are based on the participant's latest residential address.


The availability status of each LGA is based on the mapping between the LGA, NDIA Service Districts and the bilateral agreements to determine phase-in date for each LGA.


AURIN has made the following changes to the original data:


The attribute names have been changed.


The data has been spatially enabled.


LGAs with '&lt;11 participants' have been set to Null.



Tags: HUMAN SOCIETY, Social program evaluation, Social work
Organization: National Disability Insurance Agency
SA4-based B40A Non-School Qualification: Level of Education by Age by Sex as at 2011-08-11

SA4 based data for Non-School Qualification: Level of Education by Age by Sex, for 2011 Census. Count of persons aged 15 years and over with a qualification on Census night based on place of usual residence. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G56b Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families-Census 2016

GCCSA based data for Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of one parent families. '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 or who did not state their number of hours worked. G56 is broken up into two sections (G56a-G56b) this section contains 'All incomes not stated Employed Away from work' - '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, census, children, family income, g56b, gcp, general community profile, income , labour force, one parent family, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W05c Status in Employment by Country of Birth of Person by Sex-Census 2016

SA3 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 'Females Sri Lanka Employee' - 'Persons Pakistan 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, birthplace, census, country of birth, employment, employment status, w05c, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2 Agriculture Water Use - Businesses Involved 2015-2016

This dataset presents final estimates of the number of businesses included in the water usage statistics in Australia by Statistical Area Level 2 (SA2) from the 2015-16 Agricultural Census. Categories included are statistics on water use, water sources, irrigation expenditure and irrigation methods. Data is aggregated to 2011 ASGS SA2 boundaries.
The Agricultural Census is conducted once every five years. The scope of the 2015-16 Agricultural Census was all businesses undertaking agricultural activity recorded on the Australian Bureau of Statistics’ Business Register (ABSBR) above a minimum threshold applied to the estimated value of their agricultural operations. The threshold for the 2015-16 Agricultural Census was all agricultural businesses with an Estimated Value of Agricultural Operations (EVAO) of $40,000 or greater. This is a change from previous ABS Rural Environment and Agricultural Collections, where a  EVAO threshold of $5,000 or greater was used. As a result of the change in scope, the estimates from the 2015-16 Agricultural Census will not be directly comparable to previously published Agricultural Censuses or annual Rural Environment and Agricultural Commodity Survey outputs. The 2015-16 Census final estimates are based on the achieved target response rate of 85% from an in-scope population of approximately 103,400 agricultural businesses. 
The estimates in this dataset are based on information obtained from agricultural businesses that responded to the 2015-16 Agricultural Census. However, since not all of the businesses that were selected provided data, the estimates are subject to sampling variability; that is, they may differ from the figures that would have been produced if information had been collected from all businesses. Most published estimates have relative standard errors (RSEs) less than 10%. For some states and territories with limited production of certain commodities, RSEs are greater than 10%. Estimates with an RSE greater than 50% are considered too unreliable for general use and hence have been removed from the data.
This data is ABS data (catalogue number: 4618.0) used with permission from the Australian Bureau of Statistics.
For more information on the dataset please visit the Australian Bureau of Statistics.
Please note: 


Estimates with an RSE value greater than 50% and are considered too unreliable for general use and have been removed from the data


Where data was not published or not applicable the records have been set to null



Tags: Australia, agriculture, aus, irrigation, sources, usage, water
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Cancer Incidence - Males (PHN) 2010-2014

This dataset, released September 2020, contains data on the male cancer incidences during 2010-2014 by Prostate cancer, Colorectal Cancer, Melanoma of the skin, Lung cancer, Head and neck cancer, Lymphoma cancer, Leukaemia cancer, Bladder cancer, Kidney cancer, Pancreatic cancer, Stomach cancer, All other cancers and All cancers combined. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU from an analysis by the Australian Institute of Health and Welfare (AIHW) of the Australian Cancer Database (ACD) 2015. The ACD is compiled at the AIHW from cancer data provided by state and territory cancer registries: for further information on the ACD see link. 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