AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Indigenous Eye Health Measures - Number and Full-time Equivalent (FTE) Rate of Ophthalmologists (PHN) 2015

This dataset presents the footprint of the number and rate of employed ophthalmologists and full-time equivalent (FTE) per 100,000 population. 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 National Health Workforce Dataset (NHWD). The Australian Health Practitioner Regulation Agency (AHPRA), in conjunction with the national health professional registration boards, is responsible for the national registration process for 14 health professions. The data from the annual registration process, together with data from a workforce survey that is voluntarily completed at the time of registration, form the Department of Health’s National Health Workforce Dataset (NHWDS). Data in the NHWDS includes demographic and employment information (for example, labour force status, location of main job, area of practice, work setting) for registered health professionals. In this report, the data on optometrists and ophthalmologists comes from the NHWDS as reported by AIHW.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Indigenous Eye Health Measures 2017 Data Tables.
Please note:


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


FTE is a measure calculated by dividing an estimate of the total hours worked by employees in an occupation in a week by an estimate of the standard hours worked for optometrists (38 hours per week). The number of FTE is then compared with the size of relevant population to get the FTE 100,000 population.


Values assigned to "n.p." in the original data have been removed from the data.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
PHIDU - Indigenous Status - Percentage Population (LGA) 2016

This dataset, released in June 2019, contains the Aboriginal population as a percentage of the total usual resident population, 2016. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 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: Aboriginal, HEALTH SCIENCES, INDIGENOUS STUDIES, Public health, Torres Strait Islander health, wellbeing
Organization: Torrens University Australia - Public Health Information Development Unit
ABS Census - E28 Annual Individual Income By Age By Sex (LGA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to annual individual income by age and 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 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.

Tags: 1991, age, census, community, e28, ecp, expanded, income, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G56a 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 'Negative Nil income Employed Worked Full-time' - 'All incomes not stated Employed Worked Part-time'. 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, family income, g56a, gcp, general community profile, income, labour force, one parent family, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G24 Number of Children Ever Born by Age of Parent-Census 2016

GCCSA based data for Number of Children Ever Born, in General Community Profile (GCP), 2016 Census. Count of females aged 15 years and over, categorised by the number of children they have given birth to. 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, birth, census, children, g24, gccsa, gcp, general community profile, number of children
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA Estimates of Personal Income - Other Income 2010-2015

This dataset presents aggregated values of Other 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 Local Government Area (LGA) 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
ABS - Regional Population (LGA) 2001-2021

This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2021. The data is aggregated to the 2021 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).
This data is sourced from the Australian Bureau of Statistics (Catalogue Number: 3218.0).
For more information please visit the Regional population methodology.
Notes:  The population estimates in this issue are final for 2001 to 2016, revised for 2017 to 2020, and preliminary for 2021.
 Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimated resident population is based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.
AURIN has ingested this dataset in its GeoPackage format.

Tags: Demography, HUMAN SOCIETY, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W15b Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

LGA based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'State territory government $400-$499 Managers' - 'Local government $800-$999 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, employer indicator, income, occupation, personal income, sector, w15b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Social and Economic Indicators - Synthetic Estimates SA2 2016

This dataset presents the synthetically modeled indicators of the population in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators produced by the spatial micro-simulation model (SpatialMSM) are: median income, equivalised disposable median income, Gini coefficient and housing stress. The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
NATSEM's spatial micro-simulation model uses a technique that takes a survey and re-weights it to small area Census data. SpatialMSM18F is the application of the NATSEM Spatial Micro-simulation model using the ABS Survey of Income and Housing 2015/2016 and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used.
For more information please view the NATSEM Technical Report.
Please note: 


AURIN has spatially enabled the original data provided directly from NATSEM.


Where data values are NULL, the data is either unpublished or not applicable mathematically.


The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.


Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.



Tags: Australia, economic, indicators, model, sa2, social, socio economic, synthetic
Organization: University of Canberra - National Centre for Social and Economic Modelling
LGA-P12a Proficiency in Spoken Eng by Parents by Age of Dependent Children-Census 2016

LGA based data for Proficiency in Spoken English of Parents by Age of Dependent Children, in Place of Enumeration Profile (PEP), 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. P12 is broken up into 2 sections (P12a - P12b), 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 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, child age, dependent children, english language, english proficiency, p12a, parents, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Premature Mortality-By Sex - 2010-2014

The number of premature deaths from all causes in males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010 – 2014 (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/. 
Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population at the small area level is the ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2010 to 30 June 2014.

Tags: lga profile 2015, mortality by sex, phidu, premature mortality, public health information development unit , torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
VIC DET - VCAMS Indicators - 20.3: Rate of Children in Out of Home Care (LGA) 2008-2011

This dataset presents indicator 20.3: Rate of children in out of home care per 1,000 children aged 0-17 years. The data covers the financial years of 2008/09-2010/11 and is aggregated by Local Government Areas (LGA) from the 2011 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from the Client Relationship Information System (CRIS).
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "NDP" (no data provided) in the original data they have been set to null.



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
LGA11-based B45A Occupation by Age by Sex as at 2011-08-11

LGA11 based data for Occupation 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
PHIDU - Emergency Department Presentations - Non-Urgent (PHA) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for non-urgent by principal diagnosis, 2017/18. Presentations include Non-urgent presentations - Total; Non-urgent presentations for certain infectious and parasitic diseases; Non-urgent presentations for mental and behavioural disorders; Non-urgent presentations for diseases of the circulatory system; Non-urgent presentations for diseases of the respiratory system; Non-urgent presentations for diseases of the digestive system; Non-urgent presentations for diseases of the musculoskeletal system and connective tissue; Non-urgent presentations for diseases of the genitourinary system; Non-urgent presentations for injury, poisoning and certain other consequences of external causes; Non-urgent presentations for factors influencing health status and contact with health services; Non-urgent presentations for other diseases/ conditions, 2017/18.
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 State and Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 2018.
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
SA3-P17c Total Personal Weekly Income by Age by Sex-Census 2016

SA3 based data for Total Personal Income (Weekly) by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. P17 is broken up into 3 sections (P17a - P17c), this section contains 'Persons $650-$799 Age 15-19 years' - '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, p17c, pep, personal income, place of enumeration profile, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W19d Occupation by Total Personal Income (weekly) for Students Aged 15-24 Years-Census 2016

SA3 based data for Occupation by Total Personal Income (Weekly) for Students Aged 15-24 Years, in Working Population Profile (WPP), 2016 Census. Count of employed students aged 15-24 years. W19 is broken up into 4 sections (W19a - W19d), this section contains 'Total $2000-$2999 Managers' - 'Total 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, census, income, occupation, personal income, students, w19d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-I07 Total Personal Weekly Income by Sex for Aboriginal & Torres Strait Islander Persons-Census 2016

SA2 based data for Total Personal Income (Weekly) by Sex for Aboriginal and/or Torres Strait Islander Persons, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of Aboriginal and/or Torres Strait Islander persons aged 15 years and over. 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, aboriginal, aboriginal torres strait islander peoples, atsip, census, i07, personal income, sex, torres strait islander, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics