AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS Census - B43 Household Type By Family Type By Number Of Persons (Usually Resident) (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 household type by family type by number of persons (usually resident(a)). Counts are of family, group and lone person households. Counts are based on place of enumeration on census night which excludes adjustment for under-enumeration however in determining family and household type visitors to dwellings are excluded and usual residents who are temporarily absent are included. 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) Includes spouses, offspring, and co-tenants (in group households) who were temporarily absent on census night. A maximum of 3 temporary absentees can be counted in each household.


Tags: 1991, b43, basic community profile, bcp, census, dwelling structure, family composition, place of enumeration, residents
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C34  Reason Unoccupied (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on the reasoning for an unoccupied dwelling. Census counts were based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by Census Collection District 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".

Tags: 1981, c34, census, dwelling, place of enumeration, reason, unoccupied
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - School Zones - Secondary Year 9 (Polygon) 2020

This dataset presents the school zones for Secondary schools in Victoria with the Year 9 curriculum for the year of 2020.
All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria.
Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. 
The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools.
For more information please visit the Victorian Government Data Portal or the Find My School website.
Please note: 

The Victorian school zone layers can be used in conjunction with the Victorian school location layers.


Tags: education
Organization: Government of Victoria - Department of Education and Training
LGA-B17A Qualification (Highest) Field by Qualification (Highest) Level by Sex-Census 1996

LGA based data for Qualification Field by Qualification Level by Sex, in Basic Community Profile, 1996 Census. Persons aged 15 years and over with a qualification. Excludes persons with a qualification outside the scope of the Australian Bureau of Statistics Classification of Qualifications (ABSCQ). B17 is broken up into 2 sections (B17A – B17B), this section contains ‘Higher degree in Business and administration Males’ - 'Females total total’. 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, b17a, basic community profile, bcp, census, education, field, level, qualification
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Bus Origin-Destination Flow (SA2) 2021

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in Queensland (QLD), connected by public transport (PT) networks. The SA2 regions of Queensland connected by buses, trains, trams and ferries have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here.
Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets.
The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS).
The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

Tags: human mobility, network analyses, transit networks, transport, urban
Organization: CSIRO
AIHW - Chronic Kidney Disease (CKD) - Deaths by Sex (PHN) 2011-2015

This dataset presents the statistics of deaths caused by chronic kidney disease (CKD) distributed by sex for the years between 2011-2015. The data is aggregated to 2015 Primary Health Network (PHN) geographic boundaries based on the 2011 Australian Statistical Geography Standard (ASGS).
The 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 National Mortality Database (NMD) and includes data supplied by the Registries of Births, Deaths and Marriages, the Coroners and the National Coroners Information System and coded by the Australian Bureau of Statistics (ABS).
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.


Year or period refers to the year of death registration.


Deaths have been combined over a 5 year period due to small numbers.


Death and population counts are annual averages for the 5-year period between 2011 and 2015. They were derived by dividing the total count for the period by 5. Rates are based on the combined deaths and populations over the 5-year period.



Tags: AIHW, death, disease, health, kidney, mortality, phn, population, welfare
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA-G20a Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

LGA based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in General Community Profile (GCP), 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. G20 is broken up into 2 sections (G20a - G20b), this section contains 'Males 15-19 years Did unpaid domestic work Less than 5 hours' - 'Persons 85 years and over Did unpaid domestic work 30 hours or more'.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, domestic work, g20a, gcp, general community profile, hours, household work, lga, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
TAS DSG - Tasmania Crash Statistics (Point) Dec 2007-Feb 2018

This dataset contains all vehicular crashes on Tasmanian roads reported by Tasmanian police, or in the case of property damage only, crashes reported by the public. The data covers the crashes over the period of 2007/12/31 to 2018/02/16.
The original dataset was sourced from data.gov.au. 
AURIN has spatialised the data with PostGIS, from the geographic coordinates in the original dataset.

Tags: Traffic Accidents, Transport
Organization: Government of Tasmania - Department of State Growth
SA2-P33 Mortgage Repayment (Monthly) by Dwelling Structure-Census 2016

SA2 based data for Mortgage Repayment (Monthly) by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of occupied private dwellings being purchased. Mortgage repayments are derived from responses to a number of questions and records the amount of money spent monthly paying off a mortgage. Includes dwellings being purchased under a shared equity scheme. 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, dwelling structure, monthly payments, mortagage repayments, mortgage, p33, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-based B17B Total Personal Income (Weekly) by Age by Sex as at 2011-08-11

SA1 based data for Total Personal Income (Weekly) By Age By Sex, for 2011 Census. Count of 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
LGA15 Avoidable Mortality-By Sex - 2010-2014

The number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010-14 (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept, please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from:  http://phidu.torrens.edu.au/.
Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.

Tags: avoidable, lga profile 2015, mortality, phidu, public health information development unit, sex, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
GCCSA-G11d Proficiency in Spoken Eng by Year of Arrival by Age-Census 2016

GCCSA based data for Proficiency in Spoken English by Year of Arrival in Australia by Age, in General Community Profile (GCP), 2016 Census. Count of persons born overseas. G11 is broken up into 4 sections (G11a - G11d), this section contains '75-84 years Language and proficiency in English not stated Arrived 2014' - 'Total Total Total'. Excludes persons born in 'Australia, (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec' and persons who did not state a country of birth. 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, arrival year, census, english procifiency, g11d, gccsa, gcp, general community profile, language, overseas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (LGA) December 2016

This dataset presents counts of payment recipients by payment type for the quarter ending December 2016. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2014.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 4 have been suppressed and replaced with '&lt;5' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 5.


Individuals who live overseas, individuals who are without a valid home address and individuals who only have a postal address cannot be assigned to a locational boundary. State/territory totals derived from Local Government Area data will not match actual state and territory totals, due to different statistical geography methodologies.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;5' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
LGA-B04 Age by Registered Marital Status by Sex-Census 1996

LGA based data for Age by Registered Marital Status by Sex, in Basic Community Profile, 1996 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, never married, and total. 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, b04, basic community profile, bcp, census, marital status, marriage
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W12a Industry of Employment by Occupation-Census 2016

SA4 based data for Industry of Employment by Occupation, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W12 is broken up into 2 sections (W12a - W12b), this section contains 'Agriculture forestry and fishing Managers' - 'Inadequately described Not stated 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, employment, industry, industry of employment, occupation, w12a, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - U13 Qualification by Birthplace (LGA) 1986

Local Government Area (LGA) based data for Qualification by Birthplace, 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
ABS Census - C16  Income ($) (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on income. Census counts were based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by Census Collection District 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".

Tags: 1981, c16, census, earnings, income, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G58b Occupation by Hours Worked by Sex-Census 2016

LGA based data for Occupation by Hours Worked by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G58 is broken up into two sections (G58a-G58b) this section contains 'Persons Managers Number of hours worked None' - 'Persons Total 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, census, g58b, gcp, general community profile, hours, occupation, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics