AndreaBozzo/ceres-open-data-index huggingface dataset:
SA4-P20b Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

SA4 based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. It includes work that the person did without pay, in their own home and in other places, for themselves, their family and other people in the household, in the week prior to Census night. P20 is broken up into 2 sections (P20a - P20b), this section contains 'Persons 55-64 years Unpaid domestic work number of hours Less than 5 hours' - 'Persons Total 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, domestic work, hours, household work, p20b, pep, place of enumeration profile, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Females Incidence (SA4) 2006-2010

This dataset presents the footprint of female cancer incidence statistics in Australia for all cancers combined and the 11 top cancer groupings (breast, cervical, colorectal, leukaemia, lung, lymphoma, melanoma of the skin, ovary, pancreas, thyroid and uterus) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS).
Incidence data refer to the number of new cases of cancer diagnosed in a given time period. It does not refer to the number of people newly diagnosed (because one person can be diagnosed with more than one cancer in a year). Cancer incidence data come from the Australian Institute of Health and Welfare (AIHW) 2012 Australian Cancer Database (ACD).
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.


Australian Cancer Database 2012 Data Quality Statement.


Please note:


AURIN has spatially enabled the original data.


Due to changes in geographic classifications over time, long-term trends are not available.


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


The Australian and jurisdictional totals include people who could not be assigned an SA4 category. The number of people who could not be assigned an SA4 category is less than 1% of the total.


The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).


The ACD records all primary cancers except for basal and squamous cell carcinomas of the skin (BCCs and SCCs). These cancers are not notifiable diseases and are not collected by the state and territory cancer registries.


The diseases coded to ICD-10 codes D45-D46, D47.1 and D47.3-D47.5, which cover most of the myelodysplastic and myeloproliferative cancers, were not considered cancer at the time the ICD-10 was first published and were not routinely registered by all Australian cancer registries. The ACD contains all cases of these cancers which were diagnosed from 1982 onwards and which have been registered but the collection is not considered complete until 2003 onwards.


Note that the incidence data presented are for 2006-2010 because 2011 and 2012 data for NSW and ACT were not able to be provided for the 2012 ACD.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - U06 Age By Marital Status By Sex (SLA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to age by marital status and sex. Counts are of all persons aged 15 years or more, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: 1991, census, lga, marriage, population, residence, status, u06, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B43D Industry of Employment by Age by Sex as at 2011-08-11

SA4 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 30.10: Proportion of Aboriginal Children in Out of Home Care (LGA) 2008-2012

This dataset presents indicator 30.10: Proportion of Aboriginal children in out of home care who are placed in accordance with the Aboriginal Child Placement Principle. The data covers the financial years of 2008/09-2011/12 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
PHIDU - Aged Care Places (LGA) 2016

This dataset, released June 2017, contains statistics on aged care places relating to Residential aged care - high-level care places, June 2016; Residential aged care - low-level care places, June 2016; Total residential aged care places, June 2016; Community aged care places, June 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 data from the Department of Health and Ageing, 30 June 2016; and the ABSEstimated Resident Population, 30 June 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
LGA-W12a Industry of Employment by Occupation-Census 2016

LGA based data for Industry of Employment by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W12 is broken up into 2 sections (W12a - W12b), this section contains 'Agriculture forestry and fishing Managers' - 'Inadequately described Not stated 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, employment, industry, industry of employment, occupation, w12a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Hospital Admissions - Males - Principal Diagnostic - 2012-2013

Total male hospital admissions 2012/13, excluding same-day admissions for dialysis for kidney disease and well babies who are nine days older or less. The data presented are of the number of separations, or completions of the episode of care of a patient in hospital by principal diagnosis (infectious and parasitic diseases, all cancers, mental health related conditions, circulatory system diseases, respiratory system diseases, digestive system diseases, musculoskeletal system and connective tissue diseases, genitourinary system diseases, pregnancy and childbirth, injury, poisoning and other external causes) for Public hospitals and All hospitals (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/.
Note: Data were not available for private hospitals in Tasmania, the Northern Territory or the Australian Capital Territory. Therefore the ‘all hospitals’ data for these areas has been omitted.
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2012/13; and the average of the ABS Estimated Resident Population, 30 June 2012 and 2013.

Tags: admissions, diagnostic, hospital, lga profile 2015, male, phidu, principle, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
CCD-B30 Weekly Household Income by Monthly Housing Loan Repayment-Census 1996

Census Collection District (CCD) based data for Weekly Household Income by Monthly Housing Loan Repayment, in Basic Community Profile, 1996 Census. Count of occupied private dwellings which are being purchased. The data is by CCD 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b30, basic community profile, bcp, census, household, housing loan, income, loan repayment, monthly repayments
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G02 Selected Medians and Averages-Census 2016

GCCSA based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, averages, census, g02, gccsa, gcp, general community profile, medians
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3 Estimates of Personal Income - Superannuation Income 2010-2015

This dataset presents aggregated values of Superannuation 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 Statistical Area Level 3 (SA3) 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
SA1-G22b Unpaid Child Care by Age by Sex-Census 2016

SA1 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 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, child care, g22b, gcp, general community profile, sa1, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VCGLR -  Gaming Expenditure by Venue (Point) 2012 - 2013

Released bi-annually, this data set provides information relating to the total expenditure at each gaming venue for the 2012/13 financial year. It includes venue classification and the allocation of electronic gaming machines (EGMs) throughout Victoria.
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:


AURIN has spatially enabled the original data through joining it with gaming venue locations from the VCGLR's interactive map of Victoria's gaming venues extracted on the 8th of March 2019. Therefore venues that have either changed their trading name or cease to exist as of the 8th of March 2019 will not be included in this dataset, despite being active in the year expenditure was recorded. 


EGM Numbers: Average number of operating EGM's at the gaming venue during the month. This figure is consistent with the average entitlement applied to the EGM as per tax calculation.



Tags: expenditure, gambling, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
SA3-G12b Proficiency in Spoken Eng by Parents by Age of Dependent Children-Census 2016

SA3 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 15-17 years female parent Speaks English only male parent Speaks other language and speaks English total' - 'Total Child female parent Total male parent 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, dependent children, english language, english proficiency, g12b, gcp, general community profile, parents, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DHA - Settlement Reports - Permanent Settlers by Migration Stream (LGA) July 2019-June 2020

This dataset presents the number of permanent settlers in Australia by migrations streams; humanitarian, family and skilled. The data covers migrating settlers with a Date of Settlement between 01/07/2019 and 30/06/2020. The location data is aggregated based on the Local Government Area (LGA) boundaries of the 2011 Australian Standard Geographic Classification (ASGC).
The data in this dataset are sourced from the Settlement Database (SDB). Settlement Date uses a combination of either arrival date or grant date depending on where the settler was when their current SDB visa was granted. If a settler was offshore when their current SDB visa was granted then arrival date is used. If a settler was onshore when their current SDB visa was granted then visa grant date is used. SDB data is compiled from a number of sources including Department of Home Affairs, other Commonwealth agencies and service providers.
For more information please visit Data.gov.au.
AURIN has spatially enabled the original data with the 2011 LGA boundaries of the ABS Australian Standard Geographical Classification (ASGC). Where the recorded number of settlers is not provided ("n.p." in the original table) the data has been set to null, and if the number is less than 5 ("&lt;5" in the original table) for confidentiality, it has been set to 4.

Tags: HUMAN SOCIETY, Human geography, Population geography
Organization: Australian Government - Department of Home Affairs
LGA-P03 Place of Usual Residence on Census Night by Age-Census 2016

LGA based data for Place of Usual Residence on Census Night by Age, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. People were counted in the following categories: at home on census night, visitor from same SA2, visitor from a different SA2 and corresponding state visiting, total visitors and overseas visitors. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, p03, pep, place of enumeration profile, place of residence, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Personal Income - Employee Income by Age and Sex (SA3) 2011-2018

This dataset presents information about employee income by age and sex. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 3 (SA3) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).
Employee income is the total (or gross) income received as a return to labour from an employer or from a person's own incorporated business (when they are employed by this business). The data used in deriving employee income comes from both Individual Tax Returns (ITR) and payment summaries (where an individual has not lodged an ITR).
All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.
The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.
Please note:


All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.


To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. 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. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.


Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.


For further information please visit the Australian Bureau of Statistics.
AURIN has made the following changes to the original data:


Spatially enabled the original data.


Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.



Tags: Demography, Economic geography , HUMAN SOCIETY, Human geography, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B38 Place of Usual Residence 1 Year Ago by Sex as at 2011-08-11

LGA11 based data for Place Of Usual Residence 1 Year Ago By Sex, for 2011 Census. Count of persons aged 1 year and over and dwellings 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