AndreaBozzo/ceres-open-data-index huggingface dataset:
SA2-G27 Family Blending-Census 2016

SA2 based data for Family Blending, in General Community Profile (GCP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.  Excludes overseas visitors. 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, child, family blending, g27, gcp, general community profile, parent, relationship, sa2
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B43A Industry of Employment by Age by Sex as at 2011-08-11

SA4 based data for Industry of Employment by Age by Sex, for 2011 Census. Count of employed persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Main Roads WA - Rail Crossings 2017

This layer shows the location of railway crossings for the freight or passenger rail network in Western Australia. Rail transport is a means of conveyance of passengers &amp; goods by way of wheeled vehicles running on rail tracks. In contrast to road transport, where vehicles merely run on a prepared surface, rail vehicles are also directionally guided by the tracks on which they run.
This data presents the pedestrian crossings in Western Australia as of December 2017. AURIN took the data in August 2018.
For more information please visit the MRWA Open Data Portal.

Tags: WA, Western Australia, crossings, points, rail, transportation
Organization: Government of Western Australia - Main Roads Western Australia
GCCSA-P34 Rent (Weekly) by Landlord Type-Census 2016

GCCSA based data for Rent (Weekly) by Landlord Type, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings being rented. Includes dwellings being occupied rent-free. 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, landlord type, p34, pep, place of enumeration profile, rental, weekly rent
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Population Projections Persons (PHN) 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 Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
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
SA4-G13b Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA4 based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Males Speaks Southeast Asian Austronesian Languages Other and speaks English Not well or not at all' - 'Females Speaks Korean Speaks and speaks English Total'. 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, census, english proficiency, g13b, gcp, general community profile, language, sa4, sex, spoken at home
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G53a Industry of Employment by Occupation-Census 2016

SA1 based data for Industry of Employment by Occupation, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G53 is broken up into two sections (G53a-G53b) this section contains 'Agriculture forestry and fishing Occupation Managers' - 'Inadequately described Not stated Total'. The data is by SA1 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, g53a, gcp, general community profile, industry, occupation, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Ferry Origin-Destination Flow (SA2) 2019

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
SD Total Fertility Rate 2005-2007

Fertility rate of women aged 15 to 49 years is compiled from births data, 2005 to 2007 (ABS unpublished) and ABS Estimated Resident Population, 2005 to 2007 average, by SD, 2005 to 2007.

Tags: babies, births, demographic, fertility, fertility rate, mothers, population
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-T18 Dwelling Structure (Occupied private dwellings)-Census 1996

LGA based data for Dwelling Structure, in Time Series Profile, 1996 Census. Count of dwellings 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, dwelling, dwelling structure, occupied private dwellings, t18, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P30 Household Composition by Number of Persons Present on Census Night-Census 2016

SA4 based data for Household Composition by Number of Persons Present on Census Night, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings. Excludes persons usually resident who were temporarily absent on Census Night. Comprises 'Lone person', 'Group', 'Visitors only' and 'Other non-classifiable' households. 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, census, composition, family, household, p30, pep, persons usually resisdent, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Principal Diagnosis: Males  (PHN) 2014-2015

This dataset, released December 2017, contains data relating to male hospital admissions during 2014-2015 by principal diagnosis of: Parasitic disease, cancer, Blood-organ disease, metabolic disease, nervous system disease, eye disease, ear disease, circulatory system disease, respiratory system disease, digestive system disease, skin disease, musculoskeletal disease, genitourinary system disease, perinatal condition, congenital deformations and external causes. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30 June 2014and 2015.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-G44f 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 21-24 years Female parent Total Male parent Employed Total' - 'Total Dependent children in couple families Female parent 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, age, census, couple family, dependent children, g44f, gcp, general community profile, labour status, parent, sex, work force
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - T08 Birthplace (Regions) By Sex (LGA) 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 Local Government Areas (LGA) 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 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) 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
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-economic Advantage and Disadvantage (SA2) 2016

This data is SA2 based SEIFA data on The Index of Relative Socio-economic Advantage and Disadvantage, 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, advantage, asgs aggregation, aus, australia, census, disadvantage, index, irsad, seifa, socio-economic, socio-economic indexes for areas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G22a Unpaid Child Care by Age by Sex-Census 2016

SA1 based data for Unpaid Child Care by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night, spent time caring for a child/children (under 15 years) without pay. G22 is broken up into 2 sections (G22a - G22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 85 years and over Cared for Total'. The data is by SA1 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, child care, g22a, gcp, general community profile, sa1, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Use of Emergency Department (ED) - In-hours and After-hours ED Attendances (Count) (SA3) 2013-2016

This dataset presents the footprint of the rate of in-hours and after-hours emergency department (ED) presentations per 1,000 people. Both measures have been calculated with the numerator as the total number of eligible presentations and the denominator as the estimated resident population as at 30 June at the beginning of the reporting period. The data spans the financial years 2013-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
In-hours ED attendances include attendances where the patient presented to a public hospital ED on weekdays on or after 8am and before 8pm, or Saturdays on or after 8am and before 1pm (excluding public holidays). Attendances were included if the patient was assigned a triage category of 3 (urgent), 4 (semi-urgent) or 5 (non-urgent), was not subsequently admitted to hospital and had an 'emergency presentation' type of visit.
    After-hours ED attendances include attendances where the patient presented to a public hospital ED on weekdays before 8am or on or after 8pm, Saturdays before 8am or on or after 1pm, or any time on Sundays and public holidays. Attendances were included if the patient was assigned a triage category of 3 (urgent), 4 (semi-urgent) or 5 (non-urgent), was not subsequently admitted to hospital and had an 'emergency presentation' type of visit.

        For further information about this dataset, visit the data source:[Australian Institute of Health and Welfare - Use of emergency department and GP services, 2013-14 to 2015-16 Data Tables](https://www.aihw.gov.au/reports/hospitals/use-emergency-department-gp-services-2015-16/data)

Please note:


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


Values assigned to "n.p." in the original data have been removed from the data.


Data for SA3s 11002, 20301, 20303, 20505, 30101, 30102, 31901 for 2013-2014, 10902, 11002, 20301, 20303, 20505, 21002, 30101, 30102, 30601, 31901 for 2014-2015, and 10104, 10902, 11002, 20303, 20505, 30101, 30102, 31901 for 2015-2016 should be interpreted with caution, reported data includes 90-95% of public hospital emergency service presentations for residents in these area.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA1-G54b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with No Children-Census 2016

SA1 based data for Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families With No Children, in General Community Profile (GCP), 2016 Census. Count of couple families with no children. 'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night or who did not state their number of hours worked. G54 is broken up into two sections (G54a-G54b) this section contains '$4000 or more One away from work other not working' - 'Total Total'. The data is by SA1 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, couple family, family, g54b, gcp, general community profile, income, labour force, no children, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VCGLR -  Population Density and Gaming Expenditure (LGA) 2017 - 2018

This data set includes population and electronic gaming machine (EGM) expenditure breakdowns by local government area (LGA) and gaming venue, demographic statistics, labour statistics and Socio-Economic Indexes for Areas (SEIFA) LGA score and ranking per LGA for the 2017/18 financial year. The data has been joined with LGA 2011 boundaries. 
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:


AURIN has spatially enabled the original data.


EGM Numbers: a venue may be operating less machines than its licensed or attached numbers


Gaming Machine Density calculations are based on operating gaming machines with attached entitlements divided by adult population divided by 1,000 (gaming machines per 1,000 adults).


Expenditure / EGM: Refers to the average Expenditure per Gaming Machine. In 2013, these figures are based on net expenditures divided by number of gaming machines with attached entitlements.


SEIFA Scores: a lower score indicates that an area is relatively disadvantaged compared to an area with a higher score. Scores should only be used in distributive analysis. Rankings are based on highest score, for example 1st ranking in index of disadvantage means the LGA is least disadvantaged.


Disclaimer: Care must be taken in using any figures for an LGA involving net expenditure and population. The expenditure per person in an LGA may include an amount of expenditure coming from persons not living within the LGA.



Tags: expenditure, gambling, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation