AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Jobs In Australia - Employee Jobs and Income by Industry (SA2) 2017-18

This dataset presents aggregated data regarding employee jobs and median employee income per job, classified by industry subdivision at Statistical Area Level 2 (SA2). The data spans over the 2017-18 financial year and is aggregated to the 2016 SA2 boundaries.
Jobs in Australia provide aggregate statistics and are sourced from the Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers. An 'employee Job' refers to a job for which the occupant receives remuneration in wages, salary, payment in kind, or piece rates. This excludes self-employment jobs held by Owner-Managers of Unincorporated Enterprises (OMUE).
The job counts in this release differ from the filled job estimates from other sources such as the Australian Labour Account and the Labour Force Australia. The Jobs in Australia release provides insights into all jobs held throughout the year, while the Labour Account data provides the number of filled jobs at a point-in-time each quarter (and annually for the financial year reference period), and Labour Force Survey data measures the number of people employed each month. 
For more information on the release please visit the Australian Bureau of Statistics
This release provides statistics on the number and nature of jobs, the people who hold them, and their employers. These statistics can be used to understand regional labour markets or to identify the impact of major changes in local communities. The release also provides new insights into the number of jobs people hold, the duration of jobs, and the industries and employment income of concurrent jobs.
The scope of these data includes individuals who submitted an individual tax return to the Australian Taxation Office (ATO), individuals who had a Pay As You Go (PAYG) payment summary issued by an employer and their employers.
AURIN has spatially enabled the original data. The following additional changes were made:


Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.


Total values may be higher than the sum of the published components due to this confidentialisation.



Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DJSB Labour Market Data - Employment Data Summary GCCSA 2018

This dataset presents the employment summary for the labour market data for the Greater Capital City Statistical Area (GCCSA) regions as of August 2018. The boundaries for this dataset follow the 2011 edition of the Australian Statistical Geography Standard (ASGS).
The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.
Please note: 


AURIN has spatially enabled the original data.


Data Source: ABS Labour Force Survey, four quarter average.


The working age population defined in this dataset refers to people aged 15-64/



Tags: abs, business, economy, employment, jobs, labour market, market, paticipation, services, unemployment
Organization: Government of the Commonwealth of Australia - Department of Jobs and Small Businesses
Heat Vulnerability Index - Australia (SA1) 2021

Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for whole Australia.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs.
This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution.
The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI.  The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications.
Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.

Tags: built environment, heat vulnerability, human society, urban planning
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University
DSS - Quarterly Payment Recipients (LGA) June 2016

This dataset presents counts of payment recipients by payment type for the quarter ending June 2016. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2014.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '&lt;5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.


Individuals who live overseas, individuals who are without a valid home address and individuals who only have a postal address cannot be assigned to a locational boundary. State/territory totals derived from Local Government Area data will not match actual state and territory totals, due to different statistical geography methodologies.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;5' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
SA2-P09 Country of Birth by Sex-Census 2016

SA2 based data for Country of Birth of Person by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons. The list consists of the most common 35 Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, p09, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - E39 Structure Of Dwelling By Number Of Motor Vehicles By Number Of Persons (Usually Resident) (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 structure of dwelling by number of motor vehicles by number of persons (usually resident(a)). Counts are of occupied private dwellings containing family, group, and lone person households, 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 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) Spouses, offspring, and co-tenants (in group households) who were temporarily absent on census night are included. A maximum of 3 temporary absentees can be counted in each household.


Tags: 1991, census, community, dwelling, e39, ecp, expanded, motor vehicles, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P10c Country of Birth by Year of Arrival in Australia-Census 2016

SA2 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 'South Africa Year of arrival Before 1946' - 'Total 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 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, birthplace, census, country of birth, p10c, pep, place of enumeration profile, year of arrival
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Solar Water Heater - Solar Panel (POA) 2017

This dataset presents the footprint of the number of installations of solar water heater (SWH) solar panel systems. The data spans the months of 2017 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
LGA-B25B Household Type and Family Type by Tenure Type and Landlord Type-Census 1996

LGA based data for Household Type by Tenure Type and Landlord Type, in Basic Community Profile, 1996 Census. Count of family, group and lone person households in occupied private dwellings. B25 is broken up into 2 sections (B25A – B25B), this section contains ‘Fully owned Total’ – ‘Total Total’. The data is by LGA 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, b25b, basic community profile, bcp, census, household, landlord, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G48b Non-School Qualification-Field of Study by Occupation by Sex-Census 2016

GCCSA 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 'Females Health Occupation Managers' - 'Persons Creative Arts 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, census, education, g48b, gcp, general community profile, non-school, occupation, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W23b Labour Force Status by Type of Educational Institution Attending (Full/Part-Time Student Status) by Age-Census 2016

GCCSA based data for Labour Force Status by Type of Educational Institution Attending (Full/Part-Time Student Status) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 16 years and over attending an educational institution. W23 is broken up into 2 sections (W23a - W23b), this section contains 'Employed away from work Aged 18 years Technical or Further Educational Institution Not stated' - 'Total 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, census, education, educational institution, labour force, student status, students, w23b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-I05a Type of Educational Institute Attending by Indigenous Status by sex-Census 2016

SA4 based data for Type of Educational Institution Attending (Full/Part Time Students Status by Age) by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons attending an educational institution.  I05 is broken up into two sections (I05a and I05b), this section covers ‘Pre-school Aboriginal and or Torres Strait Islander Males’ - ‘Type of educational institution not stated Indigenous status not stated Females’. 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, aboriginal torres strait islander peoples, atsip, census, education, educational institution, i05a, indigenous status, sex, students
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Indigenous Eye Health Measures - Hospitalisation Rates for Cataract Surgery (PHN) 2014-2016

This dataset presents the footprint of the rate of hospitalisations with a procedure for cataract surgery per 1,000,000 Indigenous population by client location. The location of the client is based on their place of usual residence. The data spans the financial years between 2014-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). 
The data is sourced from the Australian Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient care data collection systems in Australian hospitals in each state and territory. The NHMD is based on data provided to the AIHW by state and territory health authorities for the National minimum data set (NMDS) for Admitted patient care.
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.


The data are crude rates.


Data by PHN should be interpreted with caution due to variations in admission practices, and because patients may be hospitalised outside the PHN where they reside.


Almost all (96%) cataract surgery in Australia is undertaken on a same-day basis. The data may underestimate the number of procedures provided as they do not include those undertaken on an outpatient basis.


The quality of data provided for Indigenous status varies. Time-series analyses may also be affected by changes in the quality of Indigenous identification over time.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
DSS - Quarterly Payment Recipients (SA2) March 2020

This dataset presents counts of payment recipients by payment type for the quarter ending March 2020. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2016.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '&lt;5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;5' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
GCCSA-W21b Method of Travel to Work by Occupation-Census 2016

GCCSA based data for Method of Travel to Work by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W21 is broken up into 2 sections (W21a - W21b), this section contains 'Two methods Bus and Ferry Managers' - '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, census, occupation, transport, travel method, w21b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B41A Non-School Qualification: Field of Study by Age by Sex as at 2011-08-11

SA3 based data for Non-School Qualification: Field of Study by Age by Sex, for 2011 Census. Count of persons aged 15 years and over with a qualification on Census night based on place of usual residence. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). 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