AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (LGA) 2016-2017

This dataset, released November 2018, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
PHIDU - Admissions - Principal Diagnosis: Males  (PHA) 2014-2015

This dataset, released December 2017, contains data relating to male hospital admissions during 2014-2015 by principal diagnosis of: Parasitic disease, cancer, Blood-organ disease, metabolic disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations and external causes. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SA2-G45b Labour Force Status by Sex of Parents by Age of Dependent Children for One Parent Families-Census 2016

SA2 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 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, 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
PHIDU - Age Distribution - 5 Year Age Groups: Males (PHN) 2019

This dataset, released September 2020, contains male estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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 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
SA4-G13c Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA4 based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Females Speaks Korean Not stated' - 'Persons Speaks German 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, english proficiency, g13c, gcp, general community profile, language, language spoken at home, sa4, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Teenage Mothers - Low Birthweight Babies Born to Women who Gave Birth Aged Younger than 20 Years (PHN) 2015

This dataset presents the percentage of low birthweight babies (less than 2,500 grams) born to women who gave birth aged younger than 20 years, by the mother's usual place of residence. The data spans the year of 2015 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 Institute of Health and Welfare (AIHW) National Perinatal Data Collection (NPDC) and historical data for time trends. Where the term 'teenage mother' is used the analysis is based on women who gave birth aged under 20. Teenage mothers and their babies are more likely to experience broader disadvantage, have antenatal risk factors and have poorer maternal and baby outcomes during and after birth, than older mothers and their babies. 
The Teenage Mothers in Australia data accompanies the Teenage Mothers in Australia 2015 Report.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Teenage Mothers in Australia 2015 Data Tables.
Please note:


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


Excludes women not usually resident in Australia or whose usual residence was 'Not stated'.


Values assigned &lt;5 or n.p. 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
LGA-G55b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with Children-Census 2016

LGA based data for Total Family Income (Weekly) by Labour Force Status of Parents/Partners for Couple Families With Children, in General Community Profile (GCP), 2016 Census. Count of couple families with children. '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. G55 is broken up into two sections (G55a-G55b) this section contains '$4000 or more One away from work other not working' - '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, census, children, couple family, family income, g55b, gcp, general community profile, income, labour force, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U10 Birthplace (Countries) By Age (LGA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Local Government Areas (LGA) in Australia. 
This table contains data relating to birthplace (countries) by age. Counts are of all persons, based on their usual place of residence; 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) Includes England, Scotland, Wales and Northern Ireland.


(b) Includes the Baltic States.


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



Tags: 1991, birthplace, census, country, lga, population, residence, u10, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA Estimates of Personal Income - Own Unincorporated Income 2010-2015

This dataset presents aggregated values of Own Unincorporated Business Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries.
This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:


Employee Income


Own Unincorporated Business Income


Investment Income


Superannuation Income


Other Income (Income not allocatable to any other categories)


Total Income (Sum of previous categories)
These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS):  Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).


For more information on the release please visit the Australian Bureau of Statistics.
Please note:


When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.


To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.


Where data is not available or not for publication, the record has been set to a null value.



Tags: ABS, ATO, Australia, aus, economy, finance, income, personal
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Measure of Disadvantage - Summary (LGA) 2011

This dataset, released in March 2018, contains the Index of Relative Socio-economic Disadvantage (IRSD), 2011. 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 Socio-economic Indexes for Areas (SEIFA), 2011 data. The LGAdata were re-produced from the ABS originals. Data for other geographic levels were constructed using populationweighted averages, based on the published ABS SA2 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: HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
CVA Creekwatch Local Site Surveys (Point) 2014-15

Creekwatch is aimed at involving the local community with their local environment. Creekwatch activities include regular (i.e. monthly) macroinvertebrate surveys, fish and fauna surveys and water quality testing. The Creekwatch program is operated by Conservation Volunteers Australia and is supported by the Townsville City Council with additional support from NQ Water and the Burdekin Dry Tropics NRM. This dataset contains Creekwatch data from 2014 - 2015, created on a joint project with James Cook University (JCU) Townsville Campus Connected Urban Tropics group.
Conservation Volunteers Australia is Australasia's leading conservation volunteer organisation, founded in 1982. They offer conservation programs across Australia which enable volunteers to protect, preserve and restore the Australian environment. Projects take place in urban, regional and remote areas, and include tree planting, seed collection, weed control, flora and fauna surveys, building tracks and trails, fencing, and heritage restoration.
For more information about this dataset visit the data source http://www.connectedurbantropics.org. For more information about Creekwatch visit http://www.soe-townsville.org/creekwatch/.

Tags: biodiversity, birds, creekwatch, fish, water conditions, water quality
Organization: Conservation Volunteers Australia
ABS - Weekly Payroll Jobs (SA3) October 2020

This dataset presents the percentage change in weekly payroll jobs between the week ending 04 January 2020 to the week ending 3 October 2020 relative to the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case). The data is aggregated to Statistical Area Level 3 (SA3) from the 2016 Australian Statistical Geography Standard (ASGS).
These weekly estimates are derived from Single Touch Payroll (STP) data, which is provided to the Australian Taxation Office (ATO) by businesses with STP-enabled payroll or accounting software each time the business runs its payroll. STP data includes both business and job level tax information and superannuation information. The data are combined with other administrative data from the Australian taxation system to determine additional classification attributes, such as the age and sex of employees.
This data is sourced from the Australian Bureau of Statistics.
Note: 

The weekly change estimates for the most recent weeks of data contain a higher degree of reporting variability and imputation. The ABS recommends that users exercise caution when focusing on change in the most recent weeks, as these estimates are subject to a greater levels of revision in subsequent releases.

For more information please visit the Data Methodology.
This release presents experimental estimates of weekly payroll jobs and wages for the purpose of assessing the economic impact of COVID-19 on employees and the labour market.
AURIN has restructured and spatially enabled the original dataset.

Tags: Demographics, Economic, Employment, Population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G45a Labour Force Status by Sex of Parents by Age of Dependent Children for One Parent Families-Census 2016

SA1 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 'Male Lone Parent Employed Worked Full-time Age Of Dependent Children 0-4 Years' - 'Total Lone Parents Employed Worked Full-time Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, dependent children, family, g45a, gcp, general community profile, labour force, lone parent, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NT DIPL - Palmerston Super Tuesday Bike Counts (Points) 2018

This dataset presents information and locations related to The Super Tuesday Bike Count event in Palmerston for 2018. 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
PHIDU - Age Distribution - 5 Year Age Groups: Persons (PHN) 2016

This dataset, released December 2017, contains the total estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2016. 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 based on the ABS Census of Population by Age and Sex, Regions of Australia, 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: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-G12a Proficiency in Spoken Eng by Parents by Age of Dependent Children-Census 2016

SA2 based data for Proficiency in Spoken English of Parents by Age of Dependent Children, in General Community Profile (GCP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years, who were present in the household on Census Night. Excludes same-sex couples. Excludes couple families where the husband/wife or de facto partner was temporarily absent on Census Night. G12 is broken up into 2 sections (G12a - G12b), this section contains 'Child 0-4 years female parent Speaks English only male parent Speaks English only' - 'Child 15-17 years female parent Speaks English only male parent Speaks other language and Proficiency in English not stated'. 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, child age, dependent children, english language, english proficiency, g12a, gcp, general community profile, parents, sa2
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Alcohol and Other Drug Treatment Services - Clients who seek treatment for own Drug use by Principal Drug (%) (PHN) 2016-2017

This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) who seek treatment for their own drug use by the principal drug of concern. 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