AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-Economic Disadvantage (SA1) 2011

Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census. SEIFA 2011 is the latest version of this product and consists of four indexes. The Index of Relative Socio-Economic Disadvantage (IRSD) is a general socio-economic index that summarises a range of information about the economic and social conditions of people and households within an area. Unlike the other indexes, this index includes only measures of relative disadvantage. Data last updated: 28th March 2013. Users of this data are advised to carefully read the accompanying information on the SEIFA web page and in the Technical Paper.
SEIFA Homepage
SEIFA Technical Paper
 For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: disadvantage, irsd, seifa, socio-economic
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U28 Industry by Age (LGA) 1986

Local Government Area (LGA) based data for Industry by Age, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W24a Labour Force Status by Core Activity Need for Assistance by Age-Census 2016

SA3 based data for Labour Force Status by Core Activity Need for Assistance by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. A person's need for help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long term health condition (lasting six months or more) or old age. W24 is broken up into 2 sections (W24a - W24b), this section contains 'Has need for assistance 15-19 years Employed Worked Full-time' - 'Need for assistance not stated 70-74 years 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, assistance, census, disability, labour force, w24a, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-I12 Household & Family Composition by Number of Persons Usually Resident by Indigenous Status of Household-Census 2016

GCCSA based data for Household Composition and Family Composition by Number of Persons Usually Resident by Indigenous Status of Household, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Persons usually resident includes up to three residents who were temporarily absent on Census Night. A household with Aboriginal and/or Torres Strait Islander person(s) is any household that had at least one person of any age as a resident at the time of the Census who identified as being of Aboriginal and/or Torres Strait Islander origin. 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, aboriginal torres strait islander peolples , atsip, census, composition, family, household, i12, indigenous status, persons usually resident
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B23 Status Of Worker By Sex (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 status of worker by sex. Counts are of employed 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.

Tags: 1991, b23, basic community profile, bcp, census, employment type, place of enumeration, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Bus 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
LGA-P17a Total Personal Weekly Income by Age by Sex-Census 2016

LGA based data for Total Personal Income (Weekly) by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. P17 is broken up into 3 sections (P17a - P17c), this section contains 'Males Negative Nil income Age 15-19 years' - 'Females $150-$299 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, income, p17a, pep, personal income, place of enumeration profile, sex, weekly
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W04c Status in Employment by Labour Force Status by Age by Sex-Census 2016

SA2 based data for Status of Employment by Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W04 is broken up into 3 sections (W04a - W04c), this section contains 'Persons Employed worked full-time 35-39 years Status in employment not stated' - 'Persons Total 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, employment, employment status, labour force, w04c, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (SA2) March 2015

This dataset presents counts of payment recipients by payment type for the quarter ending March 2015. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
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 19 have been suppressed and replaced with '&lt;20' 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 20.


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;20' 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
SA1-based B12A Proficiency in Spoken English/Language of Parents by Age of Dependent Children as at 2011-08-11

SA1 based data for Age of Dependent Children, and Proficiency in Spoken English/Language of parents, for 2011 Census. Count of dependent children in couple families. Excludes same-sex couples. Excludes couple families where the husband/wife or de facto partner was temporarily absent on Census Night. Comprises children aged under 15 years and dependent students aged 15-24 years, who were present in the household on Census Night. 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
PHIDU - Population Projections Persons (LGA) 2020-2030

This dataset, released February 2020, contains the total Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years.
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030..
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
LGA11-based B46 Method of Travel to Work by Sex as at 2011-08-11

LGA11 based data for Method of Travel to Work 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
AIHW - Child and Maternal Health Indicators - Low Birthweight Live Births by Indigenous Mothers (%) (PHN) 2012-2016

This dataset presents the footprint of the percentage of live births that were of low birthweight from Aboriginal and Torres Strait Islander mothers. The data spans every two years between 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of low birthweight liveborn singleton babies from Aboriginal and Torres Strait Islander mothers, and the denominator as the total number of live births from Aboriginal and Torres Strait Islander mothers.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.
Please note:


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


This dataset uses the World Health Organisation (WHO) definition of a low birthweight baby as weighing less than 2,500 grams.


Data at the area level exclude births to Australian non-residents and women who could not be allocated because their usual residence was not stated or was not valid.


Multiple births and stillbirths have been excluded.


Percentage for an area are suppressed for publication and marked as 'NP' if the total number of liveborn singleton babies for the area is less than 100.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA4-based B11A Proficiency in Spoken English/Language by Year of Arrival in Australia by Sex as at 2011-08-11

SA4 based data for Year of arrival in Australia by sex, and Proficiency in Spoken English/Language, for 2011 Census. Count of all persons on Census night based on place of usual residence. Excludes persons who did not state their country of birth. 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 - Data by Region - Aboriginal and Torres Strait Islander Peoples (LGA) 2011-2016

This dataset presents data on Aboriginal and Torres Straight Islander Peoples available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2016 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information the topics of demographics, language, culture, education and health.
Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available.
For more information please visit the Explanatory Notes.
AURIN has made the following changes to the original data:


Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) LGA 2019 dataset.


Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.


Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.


Columns and rows that did not contain any values in the original data have been removed.



Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-I09 Unpaid Assistance to a Person with a Disability by Age by Sex for Aboriginal & Torres Strait Islander Persons-Census 2016

SA3 based data for Unpaid Assistance to a Person with a Disability by Age by Sex for Aboriginal and/or Torres Strait Islander persons, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of Aboriginal and/or Torres Strait Islander persons aged 15 years and over who in the two weeks prior to Census night spent time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition or problems related to old age. This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include work done through a voluntary organisation or group. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, aboriginal, aboriginal torres strait islander peoples, age, atsip, census, disabled, i09, sex, torres strait islander, unpaid assistance
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016

SA3 based data for Non-School Qualification: Field of Study by Occupation by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G48 is broken up into three sections (G48a-G48c) this section contains 'Males Natural and Physical Sciences Occupation Managers' - 'Females Agriculture Environmental and Related Studies Total'. The data is by 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, education, g48a, gcp, general community profile, non-school, occupation, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Cancer Mortality (SA3) 2011-2015

This dataset presents the footprint of cancer mortality data in Australia for all cancers combined, and six selected cancers (female breast cancer, colorectal cancer, cervical cancer, lung cancer, melanoma of the skin, and prostate cancer) with their respective ICD-10 codes. The data spans the years 2011 to 2015 and is aggregated to Statistical Area 3 (SA3) geographic boundaries based on the 2011 Australian Statistical Geography Standard (ASGS).
The source of the mortality data is the Australia Cancer Database, the National Mortality Database and the National Death Index. Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by AIHW in the National Mortality Database.
For more information, please visit the data source: AIHW - Cancer incidence and mortality in Australia by small geographic areas.
Please note: 


AURIN has spatially enabled the original data.


Colorectal deaths presented are underestimates. For further information on complexities in the measurement of bowel cancer in Australia, refer to the Australian Bureau of Statistics.


Where records are null, data was not publishable because of small numbers, confidentiality or other concerns about the quality of the data.



Tags: aggregation, aus, australia, cancer, health, mortality, population, sa3, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare