AndreaBozzo/ceres-open-data-index huggingface dataset:
SA1-P44 Method of Travel to Work by Sex-Census 2016

SA1 based data for Method of Travel to Work by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, p44, pep, place of enumeration profile, sex, transport, travel, travel method, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G54b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with No Children-Census 2016

SA2 based data for Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families With No Children, in General Community Profile (GCP), 2016 Census. Count of couple families with no children. 'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night or who did not state their number of hours worked. G54 is broken up into two sections (G54a-G54b) this section contains '$4000 or more One away from work other not working' - 'Total Total'. The data is by 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, couple family, family, g54b, gcp, general community profile, income, labour force, no children, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Residential Dwellings (Points) 2006

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows dwelling data based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown. The data covers the year period of 2006.
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: 2006, building, census, clue, land, melbourne, residential, use
Organization: Local Government of Victoria - City of Melbourne
PHIDU - Admissions - Principal Diagnosis - External Cause: Males  (PHN) 2017-2018

This dataset, released June 2020, contains data related to hospital admissions for males during 2017-2018 by a principal diagnosis of injury or poisoning, by an external cause. The causes include transport crash injury, accidental poisoning, falls, injury due to exposure to inanimate or animate mechanical forces, intentional self-harm, assault and some other diagnosis of injury or poisoning(by external cause). This includes data for both Public hospitals and All hospitals. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of Stateand Territory health departments for 2017/18; and the average of the ABS Estimated Resident Population, 30 June 2017 and 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
SA1-based B08B Ancestry by Birthplace of Parents as at 2011-08-11

SA1 based data for Ancestry, for 2011 Census. Count of all persons and responses 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
ACT Heritage Register (Polygon) 2017

This dataset contains heritage sites (polygons) within the Australian Capital Territory heritage register. The Heritage Sites are subdivided into Final, Provisional and Nominated for Provisional Registration. 
For more information vist the ACT Geospatial Catalogue. 

Tags: ACT, australian capital territory, cultural, heritage, heritage register, polygon
Organization: Government of the Australian Capital Territory - Environment, Planning and Sustainable Development Directorate
SA4-W08d Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

SA4 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 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, 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
ABS Census - T09 Birthplace (Countries) By Sex (LGA) 1991

The 1991 Census Time Series Community profiles present key tables from the Basic and Expanded Community profiles where the data is comparable across the censuses for Local Government Areas (LGA) in Australia. These profiles are made up of 22 tables giving data for both persons and/or dwellings from the 1981, 1986 and 1991 censuses.
This table contains data relating to the birthplace countries of people by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:


(a) Includes England, Scotland, Wales and Northern Ireland.


(b) Previously called Kampuchea.


(c) Comprises Democrat People's Republic of Korea and Republic of Korea.


(d) Comprises USSR and the Baltic States other than Latvia and Ukraine.


(e) In the 1981 Census, includes 'at sea'. In the 1991 Census, includes 'inadequately described', 'at sea' and 'not elsewhere classified'.



Tags: birthplace, census, community, foreign, persons, profile, t09, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4 Aggregated Population & Dwelling Counts 2016 Census for Australia

This dataset contains counts of the total usual resident population and total dwelling count from the 2016 Census of Population and Housing for Mesh Blocks, aggregated to Statistical Area Level 4 (SA4) for the AURIN Portal.
Data is current for Census Night 9 August 2016 and describes geographic Australia; including Norfolk Island, the Territory of Christmas Island and the Territory of Cocos (Keeling) Islands, but does not include any other external Territory. 
For more information, refer to the Australian Bureau of Statistics' Census of Population and Housing: Mesh Block Counts, Australia, 2016.

Tags: aggregated, census 2016, dwelling, population, sa4, statistical area level 4
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SLA Preventable Mortality 2003-2007

Preventable mortality for ages 0 to 74 years by SLA, 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.

Tags: deaths, demographic, mortality, population, preventable mortality
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Population Projections Males (PHN) 2020-2030

This dataset, released February 2020, contains the male Population projections for years 2020, 2025 and 2030, by 5-year age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years.
The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: These data are based on customised projections prepared for the Australian Government Department of Health by the Australian Bureau of Statistics and originally published by the Australian Institute of Health and Welfare. PHA data were compiled by PHIDU based on these customised projections for 2020, 2025, and 2030..
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
GCCSA-P27 Family Blending-Census 2016

GCCSA based data for Family Blending, in Place of Enumeration Profile (PEP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s. 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, child, family blending, p27, parent, pep, place of enumeration profile, relationship
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G28 Total Family Income (Weekly) by Family Composition-Census 2016

SA1 based data for Total Family Income (Weekly) by Family Composition, in General Community Profile (GCP), 2016 Census. Count of families in family households. Total Family Income (Weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. Families includes same-sex couple families. Household excludes 'Lone person', 'Group', ‘Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, census, family composition, family income, g28, gcp, general community profile, sa1, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Females (LGA) 2016

This dataset, released December 2017, contains female estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2016. 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 based on the ABS Census of Population by Age and Sex, Regions of Australia, 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
QED - State and Non-State School Listings (Point) 2012-2018

This dataset presents the location of all state and non-state schools in Queensland for the years 2012-2018. The data includes all state and non-state schools and campuses, and centres that support schools in Queensland.
For further information about this dataset, please visit the Queensland Department of Education - State and Non State School Listings 2012-2018.
Please note:


AURIN has spatially enabled this data.


Data is made available through a AURIN-QCIF-RIDL collaboration.



Tags: education
Organization: Government of Queensland - Department of Education
SA3-P22a Unpaid Child Care by Age by Sex-Census 2016

SA3 based data for Unpaid Child Care by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night, spent time caring for a child/children (under 15 years) without pay. P22 is broken up into 2 sections (P22a - P22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 45-54 years 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, age, census, child care, p22a, pep, place of enumeration profile, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Admissions - Hospital Types and Sex (PHN) 2017-2018

This dataset, released June 2020, contains data relating to hospital admissions by hospital type and sex, 2017/18.
The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU using data from the Australian Institute of Health and Welfare, supplied on behalf of 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
VIC DET - Schools Full Time Equivalent (FTE) Enrolments (Point) Feb 2013

This dataset presents the location of Victorian schools including the Full-Time Equivalent (FTE) enrolments by school type, year level and sex. The data is sourced from the February 2013 school census of Victorian schools. 
All Victorian schools provide details of enrolments twice each year. The first collection occurs in February and the data collected is used as a basis for Government school resource allocation. Non-government school data is used for whole of system reporting. The second collection occurs in August and the data collected is used as a basis for school resource allocation and for inclusion in state and national statistical reporting. 
Please note that non-government schools provide August data directly to the Commonwealth for such purposes.

Tags: enrolment, school
Organization: Government of Victoria - Department of Education and Training
AIHW - Patient Experiences - Adults who saw 3 or More Health Professionals for the Same Condition (%) (PHN) 2014-2017

This dataset presents the footprint of the percentage of adults who saw three or more health professionals for the same condition in the preceding 12 months. The data spans the years of 2014-2017 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 Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables.
Please note:


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


Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.


As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion.


Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population.


Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN.


The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities).


Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings.


NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null.



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