AndreaBozzo/ceres-open-data-index huggingface dataset:
Mobility Australia - New South Wales Monthly Trains Origin-Destination Flow (SA2) 2020

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in New South Wales (NSW), connected by public transport (PT) networks. The SA2 regions of New South Wales connected by Sydney trains (T1-T9) and Metro services (Metro North West line) 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
AIHW - Chronic Kidney Disease (CKD) - Prevalence by Sex (PHN) 2011-2012

This dataset presents the statistics of prevalence for chronic kidney disease (CKD) distributed by sex for the years between 2011-2012. The data is aggregated to 2015 Primary Health Network (PHN) geographic boundaries based on the 2011 Australian Statistical Geography Standard (ASGS).
The chronic kidney disease (CKD) datasets were released by the Australian Institute of Health and Welfare (AIHW) to present data on prevalence, treatment (hospitalisations for CKD and dialysis) and deaths. It shows the distribution of the impact of CKD across Australia and visualises rates of CKD and the health and demographic profile for local areas.
The data was modelled by the AIHW from the 2011-12 Australian Bureau of Statistics (ABS) Australian Health Survey (AHS): National Health Measures Survey.
For further information about this dataset, please visit:


AIHW Geographical variation in chronic kidney disease data.


AIHW Geographical variation in chronic kidney disease report.


Please note:


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


Where data has not been published due to small numbers, "n.p." in the original data, the value has been set to null.


Where values have been identified to have a relative root mean square error (RRMSE), a new column has been added where "*" presents an RRMSE between 25% and 50%. This data should be used with caution.


Population in this dataset refers to 'population at risk' as modelled by the ABS. For more information, see the Explainatory Notes.


CKD prevalence estimates are based on measures of the estimated glomerular filtration rate (eGFR) and the albumin creatinine ratio (ACR) to identify biomedical signs of CKD.



Tags: AIHW, disease, health, kidney, mortality, pha, population, prevalence, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
GCCSA-W08d Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

GCCSA based data for Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. W08 is broken up into 5 sections (W08a - W08e), this section contains 'Not stated Electricity gas water and waste services Year of arrival in Australia 2016' - 'Total Construction Year of arrival in Australia Not stated'. 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08d, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA11-based B10A Country of Birth of Person by Year of Arrival in Australia as at 2011-08-11

LGA11 based data for Year of Arrival in Australia, 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 Census - T11 Language Spoken At Home 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 languages spoken at home by sex. Counts are of all persons aged 5 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.
Please note:


(a) Comparable 1981 Census data are not available.


(b) Comprises 'Yugoslav n.e.i' and 'Serbo-Croatian'.


(c) Includes 'other language indicated but not stated' and 'inadequately described'.



Tags: census, community, language, persons, profile, spoken, t11, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P41b 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 'Males Total Age 15-19 years' - 'Females Other services 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: age, employment, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W10a Industry of Employment by Owner Managers by Number of Employees-Census 2016

SA2 based data for Industry of Employment by Owner Managers By Number of Employees, in Working Population Profile (WPP), 2016 Census. Count of owner managers of enterprises. Records the number of employees (in ranges) employed by owner managers (excluding the owner managers themselves). W10 is broken up into 2 sections (W10a - W10b), this section contains 'Incorporated enterprises Agriculture forestry and fishing Owner managers of enterprises with Nil employees' - 'Unincorporated enterprises Other services 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, employees, employment, industry, industry of employment, manager, number of employees, owner, w10a, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - ASGS Non ABS Structures - Tourism Regions (TR) 2011

This dataset is the Tourism Regions (TR) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, July 2011.
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
SA2-G09d Country of Birth by Age by Sex-Census 2016

SA2 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 'Females China Age 0-4 years' - 'Females Malta Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, birthplace, census, country of birth, g09d, gcp, general community profile, sa2, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Maternity Indicators - Small Babies Among Births at or After 40 Weeks Gestation (%) (PHN) 2012-2016

This dataset presents the footprint of the percentage of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth. This has been calculated with the number of babies born at or after 40 weeks gestation who weighed less than 2,750 grams at birth, divided by the number of babies born at or after 40 weeks gestation, and multiplied by 100. The data spans the years of 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 data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


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


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Births included are those for babies born at or after 40 weeks gestation. This includes stillborn babies and babies from a multiple birth.


Births excluded are those for babies born before 40 completed weeks gestational age, that is before 40 weeks and 0 (zero) days.


Gestational age is reported as completed weeks.


Caution should be used when comparing these results with other nationally and internationally reported indicators, as the cut-off birthweight may be different to this indicator.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS Census - U07 Birthplace Of Overseas Born Persons (SLA) 1986

Statistical Local Area (SLA) based data for Birthplace Of Overseas Born People, 1986 census. Census counts were based on place of usual residence which; excludes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1986 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (original geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2102.0) 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 1986 geographic boundaries are available from data.gov.au. 
For more information please refer to the 1986 Census Dictionary.

Tags: 1986, birthplace, census, origins, overseas, place of usual residence, u07
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W17h Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

GCCSA based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Occupation inadequately described Not stated $2000-$2999 Number of hours worked None' - 'Total Total Number of hours worked Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, income, occupation, personal income, w17h, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W18d Occupation by Total Personal Income (weekly) by Non-School Qualification: Level of Education-Census 2016

SA2 based data for Occupation by Total Personal Income (Weekly) by Non-school Qualification:Level of Education, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). W18 is broken up into 5 sections (W18a - W18e), this section contains 'Certificate I and II level $2000-$2999 Managers' - 'Level of education inadequately described Not stated 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, education, income, occupation, personal income, qualification, w18d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G48a Non-School Qualification-Field of Study by Occupation by Sex-Census 2016

GCCSA based data for Non-School Qualification: Field of Study by Occupation by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). G48 is broken up into three sections (G48a-G48c) this section contains 'Males Natural and Physical Sciences Occupation Managers' - 'Females Agriculture Environmental and Related Studies Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, education, g48a, gcp, general community profile, non-school, occupation, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SLA Income Support 2009

Income support such as: age pensions, disability pensions, health care concession cards, single parent support and unemployment support. As well as data on low income families, children and the unemployed by SLA in 2009.

Tags: age pensioners, concession card, disability, health, health care card, income support, long term unemployment benefit, low income, pensioners, pensions, population, social, unemployment benefit, welfare, well being
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Birthplace - Top 10 NES Countries (PHN) 2016

This dataset, released August 2017, contains the top ten birthplaces of people born in non-English speaking countries, 2016. The data comprise residents of Australia who were born overseas in one of the predominantly non-English speaking countries which are in the top ten for Australia in terms of high numbers of migrants. These are, from highest to lowest: China, India, Philippines, Vietnam, Italy, Malaysia, Sri Lanka, Germany, Republic of Korea (South), and Greece. 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 based on the ABS Census of Population and Housing, August 2016.
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
AIHW - Maternity Indicators - Smoking after the First 20 Weeks of Pregnancy for Women who Gave Birth (%) (PHN) 2012-2016

This dataset presents the footprint of the percentage of women who gave birth and reported smoking tobacco after the first 20 weeks of pregnancy and reported smoking at any time during pregnancy, by the mother's usual residence. This has been calculated with the number of females who gave birth and reported smoking after the first 20 weeks of pregnancy, divided by the total number of females who gave birth and reported smoking during pregnancy, and multiplied by 100. The data spans the years of 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 data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


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


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Smoking refers to the use of cigarettes or inhaled tobacco.


Data excludes mothers whose smoking status was not stated.


Smoking during pregnancy is self-reported smoking of tobacco.


Because of differences in definitions and methods used for data collection, care must be taken when comparing across jursidictions.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare