AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA 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 Greater Capital City Statistical Area (GCCSA) 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 As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded.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 - Mothers and Babies (LGA) 2010-2015

This dataset, released April 2017, contains mother and babies statistics relating to Low birth weight babies, 2012 to 2014; Smoking during pregnancy, 2012 to 2014; Breastfeeding (modelled estimates), 2014-15; Fully breastfed babies at 3 and 6 months, 2014-15; Children who first ate soft, semi-solid or solid food before 4 months of age, 2014-15. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on data from: NSW Department of Health; Consultative Council on Obstetric andPaediatric Mortality and Morbidity, Victoria; Perinatal Data Collection, Department of Health, Queensland;Department of Health and Ageing SA; WA Department of Health; Tasmanian Perinatal Database; NT Department ofHealth; ACT Health.
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
Mobility Australia - Queensland Monthly Bus Origin-Destination Flow (SA2) 2021

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
ABS Census - B28 Annual Individual Income By Age (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 annual individual income by age. 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 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.

Tags: 1991, b28, basic community profile, bcp, census, earnings, income, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Regional Population - Population Estimates by Age and Sex (LGA) 2020

This dataset presents the preliminary estimates of the resident population by age and sex as at 30 June 2020. The data is aggregated to the 2020 edition of the Local Government Areas (LGA).
This data is ABS data available from the Australian Bureau of Statistics.
For more information please refer to the Methodology.
Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimates of the resident population are based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census. A person is regarded as a usual resident if they have been (or expected to be) residing in Australia for a period of 12 months or more over a 16-month period.

Tags: HUMAN SOCIETY, Human geography, Population geography
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C06  1976 Usual Residence (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data for place of usual residence in 1976. Census counts were 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 Census Collection District 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &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 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".

Tags: 1976, 1981, c06, census, place of enumeration, residence, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - ASGS Non ABS Structures - State Electoral Divisions (SED) 2016

This dataset is the State Electoral Division (SED) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2016.
For the original data and more information, refer to the Australian Bureau of Statistics' Issue.
The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data.
The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

Tags: BUILT ENVIRONMENT AND DESIGN, Urban, regional planning
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-T16 Occupation by Sex-Census 1996

LGA based data for Occupation by Sex, in Time Series Profile, 1996 Census. Count of employed persons in 1986, 1991 and 1996 census years. 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, employment, occupation, t16, time series profile, tsp, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - T08 Birthplace (Regions) By Sex (SLA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Statistical Local Areas (SLA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to the birthplace regions of people by sex. Counts are of all 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 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) In the 1981 Census, comprises 'at sea'. In the 1991 Census, comprises 'inadequately described', 'at sea' and 'not elsewhere classified'.


Tags: birthplace, census, community, foreign, persons, profile, t08, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (LGA) September 2017

This dataset presents counts of payment recipients by payment type for the quarter ending September 2017. 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
LGA-G09h Country of Birth by Age by Sex-Census 2016

LGA based data for Country of Birth of Person by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. G09 is broken up into 8 sections (G09a - G09h), this section contains 'Persons Papua New Guinea Age 0-4 years' - 'Persons Total Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09h, gcp, general community profile, lga, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2 Life Satisfaction from 0 to 100 (Synthetic Data) 2011

This table contains synthetic estimates on Subjective Wellbeing for SA2's across Australia including the number and percent of persons on a subjective life satisfaction preference scale of 0-100, where 0 completely unsatisfied 10 20 30 40 50 neither unsatisfied nor satisfied 60 70 80 90 100 completely satisfied. The data is calculated using a spatial microsimulation method to estimate small area (SA2) subjective wellbeing in Australia. The procedure uses the Australian Unity Wellbeing Index survey and the 2011 Census data.

Tags: life satisfaction
Organization: University of Canberra - National Centre for Social and Economic Modelling
SA4-based B29 Number of Motor Vehicles by Dwellings as at 2011-08-11

SA4 based data for Number of Motor Vehicles by Dwellings, for 2011 Census. Count of occupied private dwellings on Census night based on place of usual residence. Includes up to three residents who were temporarily absent on Census Night. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
GCCSA-P41d Industry of Employment by Age by Sex-Census 2016

GCCSA based data for Industry of Employment by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P41 is broken up into four sections (P41a - P41d), this section contains 'Persons Other services 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, employment, industry, p41d, pep, place of enumeration profile, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W15b Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

SA2 based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'State territory government $400-$499 Managers' - 'Local government $800-$999 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, employer indicator, income, occupation, personal income, sector, w15b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Employment by CLUE Industries (Block) 2007

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2007.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.


Suppressed values have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2007, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
ABS - Labour Force - Unemployed Persons by Duration of Job Search (SA4) 1998-2020

This dataset presents data on unemployed persons by duration of job search, available from the Australian Bureau of Statistics (ABS) Labour Force statistics. This dataset is based on Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS) boundaries, and covers data for individual months between October 1998 and June 2020.
Labour Force statistics are compiled from the Labour Force Survey which is conducted each month throughout Australia as part of the ABS household survey program. The Labour Force Survey provides monthly information about the labour market activity of Australia's resident civilian population aged 15 years and over. The Labour Force Survey is designed to primarily provide estimates of employment and unemployment for the whole of Australia and, secondarily, for each state and territory.
This data is ABS data (catalogue number: 6291.0.55.001) used with permission from the Australian Bureau of Statistics.
For more information please visit the Australian Bureau of Statistics.
Please Note: 


The original dataset includes data between July 1991 and October 1998, however these records are not aggregated by SA4, and therefore have been omitted from this dataset.


AURIN has restructured and spatially enabled the original data using the 2011 SA4 Boundaries.



Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W22a Method of Travel to Work by Age by Sex-Census 2016

SA3 based data for Method of Travel to Work by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W22 is broken up into 5 sections (W22a - W22e), this section contains 'Males One method Train 15-24 years' - 'Males Two methods Bus and Other Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, transport, travel method, w22a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics