AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Cancer Incidence - Females (PHN) 2006-2010

This dataset, released September 2017, contains data on the female cancer incidences during 2006-2010 by Breast cancer, Colorectal Cancer, Melanoma of the skin, Lung cancer, Uterine cancer, Lymphoma cancer, Leukaemia cancer, Thyroid cancer, Ovarian cancer, Pancreatic 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 theAustralian Cancer Database (ACD) 2012. The ACD is compiled at the AIHW from cancer data provided by state andterritory cancer registries.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016

SA2 based data for Non-School Qualification: Field of Study by Occupation by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G48 is broken up into three sections (G48a-G48c) this section contains 'Males Natural and Physical Sciences Occupation Managers' - 'Females Agriculture Environmental and Related Studies 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, g48a, gcp, general community profile, non-school, occupation, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Human Papillomavirus (HPV) Immunisation Rates - Boys Fully Immunised (%) (PHN) 2014-2016

This dataset presents the footprint of the percentage of boys who were fully immunised against human papillomavirus (HPV). The data spans the financial years 2014-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
HPV is a common sexually transmitted infection. It is estimated that more than four out of five people will have an HPV infection at some point in their lives. Although often asymptomatic, HPV infection can cause a wide range of cancers, including cervical cancer, and other conditions such as genital warts. The Australian Government introduced the school-based National HPV Vaccination Program in 2007 for adolescent girls, and extended it to include boys in January 2013. The data were sourced from the National HPV Vaccination Program Register (HPV Register), which is operated by the Victorian Cytology Service. The HPV Register records information about HPV vaccine doses administered under the National HPV Vaccination Program in Australia. The data reported are for girls and boys aged 15 who had received three doses of HPV vaccine by 30 June 2016 (as at 12 August 2017). The Australian Bureau of Statistics (ABS) Estimated Resident Population (ERP) for females and males aged 13 at 30 June 2014 was used for the denominator, as this reflects the eligible population at the time most vaccinations were administered.
                                                For further information about this dataset, visit the data source:[Australian Institute of Health and Welfare - HPV immunisation rates in 2015-16 Data Tables.](https://www.aihw.gov.au/reports/immunisation/hpv-immunisation-rates-2015-16/data)

Please note:


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


These data include boys aged 15 who had received three doses of HPV vaccine by 30 June 2015 and 2016. Any doses administered after that date are not included and therefore the current coverage in this cohort may be higher than reported here. Only vaccinations reported to the National HPV Vaccination Program Register (HPV Register) are included.


Boys whose courses are considered to be incomplete according to the Chief Medical Officer guidelines and boys who do not wish their details to be recorded on the HPV Register are excluded.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
CER - Small-scale Installations - Solar Water Heater - Solar Panel (POA) 2004

This dataset presents the footprint of the number of installations of solar water heater (SWH) solar panel systems. The data spans the months of 2004 and includes a total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and SWH and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
SA2-I16 Labour Force Status by Age by Sex for Aboriginal and/or Torres Strait Islander Persons-Census 2016

SA2 based data for Labour Force Status by Age 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, age, atsip, census, employment, i16, labour force, sex, torres strait islander, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who Consume over Two Standard Drinks per Day Crude (%) (PHN) 2014-2015

This dataset presents the footprint of the crude percentage of adults who consume more than two standard drinks per day on average. Lifetime risky alcohol consumption is defined as those adults who consume more than two standard drinks per day on average, thereby increasing their lifetime risk. 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.


The health risks factors reported are known to vary with age and the different PHN area populations are known to have a range of age structures. As such, comparisons of results between the PHN areas should be made with caution because the crude rates presented do not account for these age differences.


Adults are defined as persons aged 18 years and over.


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


Data for PHN105 and PHN106 should be interpreted with caution, as the estimates have a relative standard error of 25% to 50%.


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
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males Mortality (SA4) 2009-2013

This dataset presents the footprint of male cancer mortality statistics in Australia for all cancers combined and the 11 top cancer groupings (bladder, colorectal, head and neck, kidney, leukaemia, lung, lymphoma, melanoma of the skin, pancreas, prostate and stomach) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS).
Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD).
For further information about this dataset, please visit:


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


Australian Institute of Health and Welfare - 2013 National Mortality Database.


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 a SA4. The number of people who could not be assigned a SA4 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).


Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the NMD.


Year refers to year of occurrence of death for years up to and including 2012, and year of registration of death for 2013. Deaths registered in 2011 and earlier are based on the final version of cause of death data; deaths registered in 2012 and 2013 are based on revised and preliminary versions, respectively and are subject to further revision by the ABS.


Cause of death information are based on underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).


Colorectal deaths presented are underestimates. For further information, refer to "Complexities in the measurement of bowel cancer in Australia" in Causes of Death, Australia (ABS cat. no. 3303.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - E09 Birthplace (Countries) By Year Of Arrival (SLA) 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 Statistical Local Areas (SLA) in Australia. 
This table contains data relating to birthplace (countries) by year of arrival. Counts are of persons born overseas excluding overseas visitors, based on place of enumeration on census night which; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) 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, community, country, e09, ecp, expanded, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-I01a Selected Person Characteristics by Indigenous Status by sex-Census 2016

SA3 based data for Selected Person Characteristics by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons. The dataset includes the following characteristics: age bracket, location on census night, language spoken at home, English proficiency, Religion, age bracket of those attending an educational institution, highest year level of schooling complete and type of usual residence. I01 is also broken up into 3 sections (I01a – I01c), this section contains 'Total persons Aboriginal and or Torres Strait Islander Males’ - 'Visitor from Different SA2 in Northern Territory Indigenous status not stated Females’. 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, aboriginal torres strait islander peoples, atsip, census, i01a, indigenous status, person characteristics, select characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P24 Number of Children Ever Born by Age of Parent-Census 2016

SA4 based data for Number of Children Ever Born, in Place of Enumeration Profile (PEP), 2016 Census. Count of females aged 15 years and over (excludes overseas visitors), categorised by the number of children they have given birth to. 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, birth, census, children, number of children, p24, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G21 Unpaid Assistance to a Person with a Disability by Age by Sex-Census 2016

SA3 based data for Unpaid Assistance to a Person with a Disability 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 providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition or problems related to old age. This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include work done through a voluntary organisation or group. 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, disability, g21, gcp, general community profile, sa3, sex, unpaid assistance
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B39 Labour Force Status (Part-Time/Full-Time) Of Sole Parents (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to labour force status (part-time/full-time) of sole parents. Counts are of one parent families, 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.
Please note:


(a) Full-time is defined as having worked 35 hours or more in the main job held last week.


(b) Comprises families where the sole parent was employed but did not state his/her hours worked.


(c) Comprises families where the sole parent did not State his/her labour force status.



Tags: 1991, b39, basic community profile, bcp, census, employment, parents, place of enumeration, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G37 Dwelling Internet Connection By Dwelling Structure-Census 2016

LGA based data for Dwelling Internet Connection by Dwelling Structure, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records whether any member of the household accesses the internet from the dwelling. This includes accessing the internet through a desktop/laptop computer, mobile or smart phone, tablet, music or video player, gaming console, smart TV or any other devices.  It also includes accessing through any type of connection for example ADSL, fibre, cable, wireless, satellite and mobile broadband (3G/4G). 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, dwelling structure, g37, gcp, general community profile, internet, internet connection, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B02 Selected Medians and Averages as at 2011-08-11

LGA11 based data for Selected Medians and Averages, for 2011 Census. Median Age, $/week, $/Month, Number. 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: averages, medians
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
RAI - Institution Indicators (LGA) 2011

This data has been created by the Regional Australia Institute for the [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia.
The institutional environment within a specific region is determined by a combination of Commonwealth State and local government controls.
These institutions play an integral role in creating the legal and administrative framework within which investors and businesses operate and households reside and therefore have a strong bearing on competitiveness due to the level of influence on investment decisions. For instance an investment environment with minimal red tape may increase the incentives to invest in a certain region. Alternatively a lack of transparency or trustworthiness in the institutional framework may serve to discourage investment.

Tags: indicator
Organization: Regional Australia Institute
AEDC - Social Competence (SA2) 2009-2018

This dataset contains information from the 'Social competence' domain of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has excluded these results from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census