AndreaBozzo/ceres-open-data-index huggingface dataset:
SA2-W08c Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

SA2 based data for Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. W08 is broken up into 5 sections (W08a - W08e), this section contains 'Speaks other language and speaks English Not well or not at all Manufacturing Year of arrival in Australia 2006-2010' - 'Not stated Electricity gas water and waste services Year of arrival in Australia 2011-2015'. 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08c, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P36 Dwelling Structure by Number of Bedrooms-Census 2016

SA3 based data for Dwelling Structure by Number of Bedrooms, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. 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, dwelling, house size, number of bedrooms, p36, pep, place of enumeration profile, structure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-QLD Early Childhood Education/Care Enrolments by Service 2015

SA2 based data for the number of Early Childhood Education/Care Centres by Service type in Queensland, 2015. The information is based on the Early Childhood Education and Care Service Census collected by the Queensland Government Department of Education and Training. Early Childhood Education and Care (ECEC) services are provided to children aged 0 to 12 in the forms of:


long day care


kindergarten


limited hours care/occasional care


pre-prep


eKindy


outside school hours care


family day care


vacation care access
The department also provides special education programs to a small number of children with disabilities around the state. 
This data is by SA2 2011 boundaries.
For more information visit the Queensland Government Department of Education and Training.



Tags: 2015, care, early childhood, education, qld, queensland, sa2, service
Organization: Government of Queensland - Department of Education and Training
ABS - Usual Residential Population and Dwelling Count (MB) 2016

This dataset contains counts of the total usual resident population and total dwelling count from the 2016 Census of Population and Housing for Mesh Blocks.
Data is current for Census Night 9 August 2016 and describes geographic Australia; including Norfolk Island, the Territory of Christmas Island and the Territory of Cocos (Keeling) Islands, but does not include any other external Territory. Due to the small size of Mesh Blocks, data is confidentialised and only describes basic dwelling counts and number of persons usually resident. 
For more information, refer to the Australian Bureau of Statistics' Census of Population and Housing: Mesh Block Counts, Australia, 2016.

Tags: 2016, census, dwelling, mesh block, population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-P38b Non-School Qualification: Level of Education by Age by Sex-Census 2016

LGA based data for Non-School Qualification: Level of Education by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over with a qualification (excludes overseas visitors). Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). P38 is broken up into two sections (P38a - P38b), this section contains 'Persons Postgraduate Degree Level Age 35-44 years' - 'Persons 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, age, census, education, non-school, p38b, pep, place of enumeration profile, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2 Estimates of Personal Income - Income Distribution 2010-2011

This dataset presents aggregated values of Income Distribution as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 and is aggregated to the 2016 Statistical Area Level 2 (SA2) 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 - Age Distribution - Broad Age Groups: Males (LGA) 2016

This dataset, released December 2017, contains male usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 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 ABS 3235.0 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
GCCSA-G16b Highest Year of School Completed by Age by Sex-Census 2016

GCCSA based data for Highest Year of School Completed by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. G16 is broken up into 2 sections (G16a - G16b), this section contains 'Persons Year 8 or below Age 15-19 years' - 'Persons Total Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, education, g16b, gccsa, gcp, general community profile, highest year of schooling, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Health Risk Factors - Adults who have Uncontrolled High Blood Pressure Age-standardised (%) (PHN) 2014-2015

This dataset presents the footprint of the age-standardised percentage of adults who are overweight. Uncontrolled high blood pressure (measured high blood pressure) is defined as including any of the following; measured systolic blood pressure of 140 mmHg or more, or; diastolic blood pressure of 90 mmHg or more, and; irrespective of the use of blood pressure medication.                         As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the Australian Bureau of Statistics (ABS) using standard error estimates of the proportion. The data spans the financial year of 2014-2015 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
Health risk factors are attributes, characteristics or exposures that increase the likelihood of a person developing a disease or health disorder. Examples of health risk factors include risky alcohol consumption, physical inactivity and high blood pressure. High-quality information on health risk factors is important in providing an evidence base to inform health policy, program and service delivery.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Health Risk Factors in 2014-2015 Data Tables.
Please note:


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


Age-standardisation is a method of removing the influence of age when comparing populations with different age structures - either different populations at the same time or the same population at different times. For this data the Australian estimated resident population of people aged 18 and over as at 30 June 2001 has been used as the standard population.


Adults are defined as persons aged 18 years and over.


Data for PHN701 (Northern Territory) should be interpreted with caution as the National Health Survey excluded discrete Aboriginal and Torres Strait Islander communities and very remote areas, which comprise around 28% of the estimated resident population of the Northern Territory living in private dwellings.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2001-Jun 2021

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months from January 2020 to June 2021 and includes the total over the months from 2001 to 2019. It 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 SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (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:


A 12 month creation period for registered persons to create small-scale technology certificates applies under the Renewable Energy (Electricity) Act 2000. Therefore the 2019 and 2020 figures will continue to rise due to the 12 month creation period.


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). 


This data is current as at 30-06-2021.


Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has been reduced by 5.517MW.
 AURIN has made the following change to the original data:


Spatially enabled the original data by joining the data with the 2016 ASGS POAs



Tags: BUILT ENVIRONMENT AND DESIGN, Climate change science, Climate change science not elsewhere classified, Design, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Environmental management, Sustainable design
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
NSW DE - Government School Locations and Enrollments Master Dataset 2019

The master dataset contains comprehensive information for all government schools in NSW as of 24 January 2019. Data items include school locations, latitude and longitude coordinates, school type, student enrolment numbers, electorate information, contact details and more. 
For more information visit the NSW Education Data Hub.
Please Note: 


AURIN has spatially enabled the original data.


Student enrolment numbers are based on the census of government school students undertaken on the first Friday of August.


School information, such as addresses and contact details, are updated regularly as required, and are the most current source of information.


Data is suppressed for indigenous and language backgrounds other than English (LBOTE) percentages where student numbers are equal to, or less than five.


National Schools Collection (NSSC) out of scope schools will not have an enrolment figure.


NSSC and LBOTE figures are updated annually in December.


Index of Community Socio-Educational Advantage (ICSEA) values are updated every April with the previous year's ICSEA values. The master dataset is currently displaying 2016 figures. Small schools, Schools for Specific Purposes (SSPs) and Senior Secondary schools do not have their ICSEA values published by The Australian Curriculum, Assessment and Reporting Authority (ACARA).


Following the introduction of part-time study in secondary schools in 1993, student enrolments are generally reported in full-time equivalent units (FTE). The FTE for students studying less than 10 units, the minimum workload, is determined by the formula: 0.1 x the number of units studied and represented as a proportion of the full-time enrolment of 1.0 FTE.


Norfolk Island Central School (NICS) is not a NSW government school. NICS is operated by the Australian government. The NSW Department of Education provides school education services under an agreement with the Australian government.


Source: Statistics and Analysis Unit. Centre for Education Statistics and Evaluation.



Tags: school
Organization: Government of New South Wales - Department of Education
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2019

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months of 2019 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 SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (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:


A 12 month creation period for registered persons to create small-scale technology certificates applies under the Renewable Energy (Electricity) Act 2000. Therefore the 2019 and 2020 figures will continue to rise due to the 12 month creation period.


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). 


This data is current as at 28-02-2021.


Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has been reduced by 5.517MW.
 AURIN has made the following change to the original data:


Spatially enabled the original data by joining the data with the 2016 ASGS POAs



Tags: BUILT ENVIRONMENT AND DESIGN, Climate change science, Climate change science not elsewhere classified, Design, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Environmental management, Sustainable design
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
PHIDU - Avoidable Mortality - Selected Causes (PHA) 2011-2015

This dataset, released July 2018, contains statistics relating to avoidable mortalities during the year 2011-2015 from the following causes: cancer, diabetes, circulatory systems diseases, respiratory system diseases 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: Data compiled by PHIDU from deaths data based on the 2011 to 2015 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 2011 to 30 June 2015, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2011 to 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
GCCSA-P10b Country of Birth by Year of Arrival in Australia-Census 2016

GCCSA based data for Country of Birth of Person by Year of Arrival in Australia, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons born overseas (excludes overseas visitors). P10 is broken up into 3 sections (P10a - P10c), this section contains 'Ireland Year of arrival 2011' - 'Singapore Total'. Where arrival is stated as the year 2016 it corresponds to the period 1 January 2016 to 9 August 2016. The list of countries consists of the most common Country of Birth responses (excluding Australia) reported in the 2011 Census. 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, arrival year, census, country of birth, overseas, p10b, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G44f Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

GCCSA based data for Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families, 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 at their usual residence on Census Night. Comprises couple families with both parents present at their usual residence on Census Night. Excludes same-sex couples. G44 is broken up into 6 sections (G44a - G44f), this section contains 'Dependent children Aged 21-24 years Female parent Total Male parent Employed Total' - 'Total Dependent children in couple families Female parent Total Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, couple family, dependent children, g44f, gcp, general community profile, labour status, parent, sex, work force
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B43B Industry of Employment by Age by Sex as at 2011-08-11

SA3 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