AndreaBozzo/ceres-open-data-index huggingface dataset:
LGA-W03a Status in Employment by Hours Worked by Age-Census 2016

LGA based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Employee 15-19 years Number of hours worked None' - 'Owner managers of incorporated enterprises 40-44 years 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, employment status, w03a, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Jobs In Australia - Employed Persons Jobs (SA4) 2014-2019

This dataset presents aggregated data regarding employed persons within the relevant statistical regions, including the number of employee jobs and median employee income per job by sex, classified by Statistical Area Level 4 (SA4). The data spans from 2014-15 to 2018-19 financial year and is aggregated to the 2016 SA4 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. Employee person refers to any person with one or more job. Employed persons in this publication can be employees, owner-managers of unincorporated enterprises, or both. Employed persons are persons who have employment income in the reference year, excluding those whose employment income is made up entirely of an employment termination payment. Employed persons have one or more jobs on the job file.
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:

Totals are higher than the sum of their components due to missing information in the underlying data.


Tags: COMMERCE, Demography, Demography not elsewhere classified, ECONOMICS, HUMAN SOCIETY, Human resources, MANAGEMENT, Other economics, TOURISM AND SERVICES, industrial relations, industrial relations not elsewhere classified
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W02a Status in Employment by Age by Sex-Census 2016

SA2 based data for Status in Employment by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W02 is broken up into 2 sections (W02a - W02b), this section contains 'Males 15-19 years Employee' - 'Persons 40-44 years Owner managers of incorporated enterprises'. 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, employment, employment status, w02a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B06 Age By Marital Status By Sex (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to age by marital status by sex. Counts are of persons aged 15 years or more, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by 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, age, b06, basic community profile, bcp, census, marital status, marriage, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Personal Income - Investment Income (SA3) 2011-2018

This dataset presents information about investment income. 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).
Investment income includes the following data items on the Individual Tax Returns (ITR):


Gross interest


Dividends unfranked amount


Dividends franked amount


Dividends franking credit


Share of net income from trusts less net capital gains and foreign income non primary production


Franked distributions from trusts - non-primary production


Australian franking credits from a New Zealand company


Net foreign rent


Net rent


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
ABS Census - B10 Birthplace Of Mother By Birthplace Of Father (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 birthplace of mother by birthplace of father. Counts are of Australian born persons, 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) Comprises England, Scotland, Wales, Northern Ireland, Ireland, South Africa, Canada, USA and New Zealand.


(b) Includes 'inadequately described', 'at sea' and 'not elsewhere classified'.



Tags: 1991, b10, basic community profile, bcp, birthplace, census, origins, parents, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA1) 2016

This data is SA1 based SEIFA data on The Index of Economic Resources, 2016. Data is based upon 2016 ASGS boundaries.
Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing. 
SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER).
Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage. 
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.

Tags: 2016, asgs aggregation, aus, australia, census, economic resources, ier, index, seifa, socio-economic, socio-economic indexes for areas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-T12B Type of Educational Institution Attending (Full-Time/Part-Time) by Sex-Census 1996

LGA based data for Type of Educational Institution Attending (Full-Time/Part-Time) by Sex, in Time Series Profile, 1996 Census. Count of all persons in 1986, 1991 and 1996 census years. T12 is broken up into two sections (T12A-T12B) this section covers ‘Census 1986 -  total male’ - ‘Census 1996 -  total persons’. 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, census, education, educational institution, student status, t12b, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-based B19 Voluntary Work for an Organisation or Group by Age by Sex as at 2011-08-11

SA1 based data for Voluntary Work For An Organisation Or Group Age by Sex, for 2011 Census. Count of all persons 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
ABS - Personal Income - Employee Income (SA2) 2011-2018

This dataset presents information about employee income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 2 (SA2) 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
QED - School Disciplinary Absences by School (Point) 2010-2011

This dataset presents the location of School Disciplinary Absences for Queensland state schools by year and absence type. The data spans the years of 2010-2011.
State schools are required to report School Disciplinary Absences (SDA) for the school year in their School Annual Report. There are 4 categories of SDA: short suspension (1-5 days), long suspension (6-20 days), suspensions with proposal/recommendation for exclusion and cancellations of enrolment. A student may be suspended or excluded from a state school or schools because of disobedience, misconduct or other conduct that is prejudicial to the good order and management of the school. A student may also be excluded from a state school for contravention of a Behaviour Improvement Condition. Suspension prohibits a student from attending an educational institution for a nominated period of time (from 1-5 days or 6-20 days). Decisions to suspend a student are made by individual state school principals.
For further information about this dataset, please visit the Queensland Department of Education - School Disciplinary Absences.
Please note:


AURIN has spatially enabled this data using the Queensland Department of Education - State and Non State School Listings.


Data is made available through a AURIN-QCIF-RIDL collaboration.


Geometries modified from State and Non-State School Listings 2012-2018, as provided by QED. For facilities which closed prior to 2012, including Richlands State School [1121], Lindum State School [1682], Wynnum North State school [221], Wynnum Central State School [87] and Hemmant State School [30], data cannot be represented spatially.


On 5 November 2010, state school principals were given the power to exclude students from their school. They may recommend the decision to their supervisor if they believe it is inappropriate for them to make the decision.


The information is displayed in terms of aggregate counts of incidents. These data do not represent the outcomes of any related appeal decisions.



Tags: education
Organization: Government of Queensland - Department of Education
SA3-based B42B Labour Force Status by Age by Sex as at 2011-08-11

SA3 based data for Labour Force Status by Age by Sex, for 2011 Census. Count of 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
SA4-P10b Country of Birth by Year of Arrival in Australia-Census 2016

SA4 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 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, arrival year, census, country of birth, overseas, p10b, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Ferry Origin-Destination Flow (SA2) 2022

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in Queensland (QLD), connected by public transport (PT) networks. The SA2 regions of Queensland connected by buses, trains, trams and ferries have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here.
Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets.
The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

Tags: human mobility, network analyses, transit networks, transport, urban
Organization: CSIRO
SA2-G44b Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

SA2 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 5-9 years Female parent Total Employed Male Parent Total Labour Force' - 'Dependent children Aged 10-12 years Female parent Not in the labour force Male parent Employed Hours worked not stated'. 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, age, census, dependent children, family, g44b, gcp, general community profile, labour force, parents, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics