AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G58b Occupation by Hours Worked by Sex-Census 2016

GCCSA 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 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, g58b, gcp, general community profile, hours, occupation, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G52d Industry of Employment by Hours Worked by Sex-Census 2016

SA3 based data for Industry of Employment by Hours Worked by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G52 is broken up into four sections (G52a-G52d) this section contains 'Persons Other services Number of hours worked None' - 'Persons Total Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, employment, gcp, general community profile, hours, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons Incidence (GCCSA) 2006-2010

This dataset presents the footprint of cancer incidence statistics in Australia for all cancers combined and the 6 top cancer groupings (colorectal, leukaemia, lung, lymphoma, melanoma of the skin and pancreas) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to Greater Capital City Statistical Areas (GCCSA) from the 2011 Australian Statistical Geography Standard (ASGS).
Incidence data refer to the number of new cases of cancer diagnosed in a given time period. It does not refer to the number of people newly diagnosed (because one person can be diagnosed with more than one cancer in a year). Cancer incidence data come from the Australian Institute of Health and Welfare (AIHW) 2012 Australian Cancer Database (ACD).
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.


Australian Cancer Database 2012 Data Quality Statement.


Please note:


AURIN has spatially enabled the original data.


Due to changes in geographic classifications over time, long-term trends are not available.


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


The Australian and jurisdictional totals include people who could not be assigned a GCCSA. The number of people who could not be assigned a GCCSA is less than 1% of the total.


The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).


The ACD records all primary cancers except for basal and squamous cell carcinomas of the skin (BCCs and SCCs). These cancers are not notifiable diseases and are not collected by the state and territory cancer registries.


The diseases coded to ICD-10 codes D45-D46, D47.1 and D47.3-D47.5, which cover most of the myelodysplastic and myeloproliferative cancers, were not considered cancer at the time the ICD-10 was first published and were not routinely registered by all Australian cancer registries. The ACD contains all cases of these cancers which were diagnosed from 1982 onwards and which have been registered but the collection is not considered complete until 2003 onwards.


Note that the incidence data presented are for 2006-2010 because 2011 and 2012 data for NSW and ACT were not able to be provided for the 2012 ACD.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA1-G18 Core Activity Need for Assistance by Age by Sex-Census 2016

SA1 based data for Core Activity Need for Assistance by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. A person's need for help or assistance in one or more of the three core activity areas of self-care, mobility and communication, because of a disability, long term health condition (lasting six months or more) or old age. 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, assistance, census, core activity, disabled, g18, gcp, general community profile, need for assistance, sa1, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C26  Occupants per household (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data occupants per household. 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 Local Government Area 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".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1981, c26, census, household, occupants, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-W15e Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

GCCSA based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'Total Negative Nil income Managers' - 'Total 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, census, employer indicator, income, occupation, personal income, sector, w15e, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B20B Unpaid Domestic Work: Number of Hours by Age by Sex as at 2011-08-11

SA4 based data for Unpaid Domestic Work: Number Of Hours by Age by Sex, for 2011 Census. Count of all persons 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
SA2-P23b Relationship in Household by Age by Sex-Census 2016

SA2 based data for Relationship in Household by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in occupied private dwellings categorised by the relationship of each person in a family to the family reference person or, where a person is not part of a family, that person's relationship to the household reference person. Excludes persons in 'Other non-classifiable' households.  Includes same sex couples. P23 is broken up into 2 sections (P23a - P23b), this section contains 'Females Unrelated individual living in family household Age 15-24 years' - 'Person 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, composition, household, p23b, pep, place of enumeration profile, relationship, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Mobility Australia - Queensland Weekly Bus Origin-Destination Flow (SA2) 2020

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
ABS Census - C11  Birthplace By Period Of Residence In Aus Of Overseas Born (LGA) 1981

The 1981 Census Local Government Area Summary File (LGASF) presents summary characteristics of persons and their dwellings for every Local Government Area (LGA) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data for birthplace by period of residence in Australia of overseas born persons. 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 Local Government Area 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".
Please note: Some LGAs were broken down into parts in the original LGA Summary File (e.g. CABONNE (S) (PART A), CABONNE (S) (PART B), CABONNE (S) (PART C)). AURIN has aggregated the data values for the LGA parts where this has occurred.

Tags: 1981, birthplace, c11, census, migration, overseas, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G55b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with Children-Census 2016

SA3 based data for Total Family Income (Weekly) by Labour Force Status of Parents/Partners for Couple Families With Children, in General Community Profile (GCP), 2016 Census. Count of couple families with 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. G55 is broken up into two sections (G55a-G55b) this section contains '$4000 or more One away from work other not working' - 'Total Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, children, couple family, family income, g55b, gcp, general community profile, income, labour force, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Bar, Tavern and Pub Patrons Capacity (Point) 2007

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data presents the number of dining seats (classified by indoor/outdoor) for establishments with their trading name, industry (ANZSIC4) classification, location, CLUE block and small area designation as points which represent a single business. The data covers the year period of 2007.
For more information please visit the City of Melbourne CLUE Portal.
Please note: 


AURIN has acquired the data through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2007, capacity, census, clue, employment, hospitality, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
ABS Census - T20 Structure Of Dwelling - Persons In Occupied Private Dwellings (SLA) 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 Statistical Local Areas (SLA) 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 structure of dwellings. Counts are of persons in occupied private dwellings, 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 SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: census, community, dwelling, persons, profile, residents, t08, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G09f 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 Vietnam Age 0-4 years' - 'Persons Germany 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, g09f, gcp, general community profile, sa2, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Self-assessed Health (PHA) 2014-2015

This dataset, released April 2017, contains Estimated number of people aged 15 years and over, who reported their self-assessed health as fair or poor, 2014-15. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS;estimates at the LGA and PHN level were derived from the PHA estimates. 
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
ABS Census - T17 Occupation By Sex (SLA) 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 Statistical Local Areas (SLA) 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 occupation of people by sex. Counts are of all employed persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 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.


Tags: census, community, employment, occupation, persons, profile, t17, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Potentially Preventable Admissions - Vaccine-preventable Conditions  (PHA) 2014-2015

This dataset, released December 2017, contains data on the number of Potentially preventable hospitalisations - Vaccine-preventable, 2014/15. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
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 ofState and Territory health departments for 2014/15; and the average of the ABS Estimated Resident Population, 30June 2014 and 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
LGA-G17c Total Personal Weekly Income by Age by Sex-Census 2016

LGA based data for Total Personal Income (Weekly) by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. G17 is broken up into 3 sections (G17a - G17c), this section contains 'Persons $1000-$1249 Age 15-19 years' - '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, age, census, g17c, gcp, general community profile, lga, personal income, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics