AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G09e Country of Birth by Age by Sex-Census 2016

GCCSA 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 Mauritius Age 0-4 years' - 'Females United States of America Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09e, gccsa, gcp, general community profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Child and Maternal Health Indicators - Mothers who Smoked during Pregnancy (%) (SA3) 2012-2016

This dataset presents the footprint of the percentage of all women who gave birth and smoked during pregnancy. The data spans every two years between 2012-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from 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 mothers who smoked during pregnancy, and the denominator as the total number of mothers with a stated smoking status.
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.


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.


A woman's smoking status during pregnancy is self-reported.


Percentage for an area are suppressed for publication and marked as 'NP' if the number of mothers with a stated smoking  status for the area is less than 100.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
GCCSA-P20b Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

GCCSA based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. It includes work that the person did without pay, in their own home and in other places, for themselves, their family and other people in the household, in the week prior to Census night. P20 is broken up into 2 sections (P20a - P20b), this section contains 'Persons 55-64 years Unpaid domestic work number of hours Less than 5 hours' - '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, domestic work, hours, household work, p20b, pep, place of enumeration profile, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DHHS - Local Government Area Profiles Data (LGA) 2011

The 2011 Local Government Area (LGA) profiles are produced annually to facilitate service planning and policy development by enabling access to a broad range of data about each LGA. Each profile includes over 220 variables from a wide range of data sources. The data spans the year of 2011 and is aggregated by LGA from the 2011 Australian Statistical Geography Standard (ASGS).
The profiles provide measures on a broad range of topics including population, diversity, disadvantage and social engagement, housing, transport and education, health status and service utilisation, child and family characteristics and service utilisation. 
For more information, please visit the Victorian Government Data Portal.
Please note:

AURIN has spatialised the original data.


Tags: Department of Health, Human Services, Victoria, community profile, demographic, employment, health, population, quality of life, social, well being
Organization: Government of Victoria - Department of Health and Human Services
PHIDU - Emergency Department Presentations - Resuscitation (LGA) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for resuscitation by principal diagnosis, 2017/18. Presentations include Resuscitation presentations - Total; Resuscitation presentations for diseases of the circulatory system; Resuscitation presentations for diseases of the respiratory system; Resuscitation presentations for injury, poisoning and certain other consequences of external causes; Resuscitation presentations for other diseases or conditions. 
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 using data from the Australian Institute of Health and Welfare, supplied on behalf of State and Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 2018.
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
SD Self Assessed Health - Synthetic Prediction 2007-2008

Estimate of self-assessed health from the National Health Survey, from 2007 to 2008. Data reported as very good or excellent health by SD, from 2007 to 2008.

Tags: estimate, excellent health, health, population, self-assessed health, sf1, synthetic prediction, very good health
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-P29 Number of Motor Vehicle by Dwelling-Census 2016

SA2 based data for Number of Motor Vehicles by Dwellings, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings categorised by the number of registered motor vehicles owned or used by household members. It includes company owned vehicles garaged, parked at or near private dwellings on Census night. It excludes motorbikes and scooters. 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, cars, census, dwelling, motor vehicles , p29, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA Population & People - National Regional Profile 2010-2014

This dataset contains National Regional Profile (NRP) data on Population and People at GCCSA level for 2010-2014. The data uses 2011 ABS ASGS boundaries. 
The NRP is designed for users interested in the socio-economic and environmental characteristics of regions - and in comparisons with similar geographies across Australia. Data are arranged under the broad themes/topics of Economy, Industry, People, and Energy and Environment. 
Please note some data are not available for all reference years, for a variety of reasons. For example; there may be conceptual breaks in a data series; the collection frequency may be irregular; some series may have revisions pending; or permission to publish in the NRP may have only been granted recently. In addition, some data series are not available for the full range of geographies. The reasons can include: data owner or custodian preferences; industry identification with a few, particular geographies only; confidentiality protection; and the presence of many suppressed data cells (at smaller geographic levels) thus making true aggregations up to larger ASGS regions difficult. 
This data is ABS data used with permission from the Australian Bureau of Statistics. Please note National Regional Profile (1379.0.55.001) has been discontinued. For the most recent regional data, please see Data By Region (1410.0). 
For more information please visit the  Australian Bureau of Statistics.

Tags: 2010-2014, abs aggregation, age, aus, australia, demographic, education, family, national regional profile, nrp, people, population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Potential Years of Life Lost - Cause (LGA) 2014-2018

This dataset, released February 2021, contains the potential years of life for all death by various causes over the years 2014 to 2018. Potential years of life lost represents the sum of the actual age at death and 75 years of age. Causes include cancer, diabetes, circulatory system diseases, respiratory system diseases, and external causes(road traffic injuries, suicide and self-inflicted injuries) 
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Data compiled by PHIDU from deaths data based on the 2014 to 2018 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population is the ABS Estimated Resident Population (ERP) for Australia, 30 June 2014 to 30 June 2018.
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
SA4-P17c Total Personal Weekly Income by Age by Sex-Census 2016

SA4 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 'Persons $650-$799 Age 15-19 years' - 'Persons Total 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, age, census, p17c, pep, personal income, place of enumeration profile, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NT DIPL - Darwin Super Tuesday Bike Counts (Points) 2018

This dataset presents information and locations related to The Super Tuesday Bike Count event in Darwin for 2018. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers.
The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.
Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. 
For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report.
Please note: 

Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.


Tags: bicycle
Organization: Northern Territory Government - Department of Infrastructure, Planning and Logistics
SA2-I01a Selected Person Characteristics by Indigenous Status by sex-Census 2016

SA2 based data for Selected Person Characteristics by Indigenous Status by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons. The dataset includes the following characteristics: age bracket, location on census night, language spoken at home, English proficiency, Religion, age bracket of those attending an educational institution, highest year level of schooling complete and type of usual residence. I01 is also broken up into 3 sections (I01a – I01c), this section contains 'Total persons Aboriginal and or Torres Strait Islander Males’ - 'Visitor from Different SA2 in Northern Territory Indigenous status not stated Females’. 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, aboriginal torres strait islander peoples, atsip, census, i01a, indigenous status, person characteristics, select characteristics, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W11c Industry of Employment by Hours Worked by Sex-Census 2016

SA2 based data for Industry of Employment by Hours Worked by Sex, 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. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Females Inadequately described Not stated Number of hours worked None' - 'Persons Arts and recreation services Number of hours worked 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, industry, industry of employment, w11c, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Relative Socio-economic Disadvantage (SA2) 2016

This data is SA2 based SEIFA data on The Index of Relative Socio-economic 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, asgs aggregation, aus, australia, census, disadvantage, index, irsd, seifa, socio-economic, socio-economic indexes for areas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (LGA) December 2013

This dataset presents counts of payment recipients by payment type for the quarter ending December 2013. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2013.
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.


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;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
AIHW - Maternity Indicators - General Anaesthetic for Women Giving Birth by C-section (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of women who gave birth by caesarean section and had a general anaesthetic, by the mother's usual residence. This has been calculated with the number of females who gave birth by caesarean section and had a general anaesthetic, divided by the number of females who gave birth by caesarean section and recorded a non-missing value for general anaesthetic, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from 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.


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.


Caesarean section is an operative procedure to remove the baby through an incision through the female's abdomen and uterus.


Included are those females who gave birth by caesarean section.


Excluded are those females who gave birth through the vagina.


Caution should be used when interpreting these results. There was no standardised collection across jurisdictions for the data used to derive this indicator.


Data were not available for Victoria in 2009 and 2010.


Data for Statistical Local Area Level 3 (SA3) of mother's usual residence reported using a 3 year aggregate, 2014-2016.


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 - ASGS - Greater Capital City Statistical Area (GCCSA) 2011

This dataset is the Greater Capital City Statistical Area (GCCSA) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, 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