AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - ASGS - Statistical Area Level 4 (SA4) 2011

This dataset is the Statistical Area Level 4 (SA4) 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
ABS Census - B02 State And Statistical Local Area Of Usual Residence On Census Night By Sex (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to state and statistical local area of usual residence on census night 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 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: 1991, b02, basic community profile, bcp, census, home, location on census night, place of enumeration, usual residence
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Measures of Environmental Inequality across Culturally and Linguistically Diverse (CALD) Communities (SA1 Level) (2011)

Measures of the environmental inequality among Culturally and Linguistically Diverse (CALD) populations derived from the time series extracted from Landsat satellite images in the years 2001, 2006, 2011, 2016, 2021, including land surface temperature, urban heat intensity index, NDVI (normalised difference vegetation index) and NDBI (normalised difference built-up index) for each SA1. The time-series datasets were retrieved on Google Earth Engine using ABS SA1 2021 boundary.

Tags: Environmental inequality, NDBI, NDVI, land surface temperature, normalised difference built-up index, normalised difference vegetation index, time-series, urban heat intensity index
Organization: GISail (Geospatial Informatics and Intelligence) Group, RMIT University
SA2-based B32 Tenure Type and Landlord Type by Dwelling Structure as at 2011-08-11

SA2 based data for Tenure Type and Landlord Type by Dwelling Structure, for 2011 Census. Count of Count of occupied private dwellings on Census night based on place of usual residence. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
SA1-based B32 Tenure Type and Landlord Type by Dwelling Structure as at 2011-08-11

SA1 based data for Tenure Type and Landlord Type by Dwelling Structure, for 2011 Census. Count of Count of occupied private dwellings on Census night based on place of usual residence. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2013

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months of 2013 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
SA4-P32 Tenure and Landlord Type by Dwelling Structure-Census 2016

SA4 based data for Tenure and Landlord Type by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of all occupied private dwellings. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. 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, dwelling structure, landlord type, p32, pep, place of enumeration profile, tenure
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Indigenous Status - 5 Year Age Groups (PHN) 2016

This dataset, released August 2017, contains Aboriginal population as a percentage of the total usual resident population by 5 year age groups: 0-4 years to 65+ years, 2016. The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on the ABS Census of Population and Housing, August 2016.
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Aboriginal, HEALTH SCIENCES, INDIGENOUS STUDIES, Public health, Torres Strait Islander health, wellbeing
Organization: Torrens University Australia - Public Health Information Development Unit
SA2-W05c Status in Employment by Country of Birth of Person by Sex-Census 2016

SA2 based data for Status in Employment by Country of Birth of Person by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W05 is broken up into 4 sections (W05a - W05d), this section contains 'Females Sri Lanka Employee' - 'Persons Pakistan 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, birthplace, census, country of birth, employment, employment status, w05c, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W17e Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Sales workers Negative Nil income Number of hours worked None' - 'Machinery operators and drivers $300-$399 Number of hours worked 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, income, occupation, personal income, w17e, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Government School Catchment Areas for New South Wales (Polygon) 2017

NSW public schools have defined local enrolment areas, meaning that every child is entitled to enrol in a particular school based on his or her residential address. Every public school reserves enough places within their school for students in their local enrolment area. Disclaimer: Due to the evolving nature of school information and local enrolment areas, no responsibility can be taken by the NSW Department of Education, or any of its associated departments, if information is relied upon. For example, but not limited to, real estate purchases or rentals where the school intake zone data is used as a reference source. School catchments areas can change for multiple reasons. These include schools opening and closing, and changes in population demographics, for example. 
For more information visit https://data.cese.nsw.gov.au/data/dataset/ffd4298f-c4b2-48de-a939-e8ba8cc1b70a.

Tags: boundary, catchment, education, school, zone
Organization: Government of New South Wales - Department of Education
Victorian State Budget 2017/2018 (LGA)

Raw LGA level data supporting the map visualisation of the 2017-2018 State budget available on the Victorian Government State Budget website. More information about this dataset is available here (Department of Treasury and Finance). Note, this dataset has been edited to include unique identifiers necessary for joining with Australian Bureau of Statistics (ABS) geometry.

Tags: 2017, 2018, Victoria, allocation, budget
Organization: Victoria State Government - Department of Treasury and Finance
ABS Census - B25 Hours Worked By Sex (SLA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to hours worked by sex. Counts are of 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.

Tags: 1991, b25, basic community profile, bcp, census, place of enumeration, time fraction, work hours, work load
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA Attorney General - Liquor & Gaming Licences (Point) June 2015

This dataset presents publicly accessible liquor and gaming licence details under Liquor and Gaming legislations. This dataset presents registered licences as of June 2015.
For more information visit the South Australian Government Data Portal.
Please note: 


AURIN has spatially enabled the original data by geocoding the addresses provided.


The geocoders used were the AURIN implementation of both the Pelias and Data61-GNAF geocoders.


Only licences which are held by business entities with a valid address that were able to be successfully geocoded have been included in this dataset.



Tags: authority, health
Organization: Government of South Australia - Attorney-Generals Department
SA3-W08a Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

SA3 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 'Speaks English only Agriculture forestry and fishing Year of arrival in Australia Before 1991' - 'Speaks other language and speaks English very well or well Mining Year of arrival in Australia 1991-1995'. 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08a, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G58a Occupation by Hours Worked by Sex-Census 2016

SA2 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 'Males Managers Number of hours worked None' - 'Females 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, g58a, gcp, general community profile, hours, occupation, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G32 Dwelling Structure-Census 2016

GCCSA based data for Dwelling Structure, in General Community Profile (GCP), 2016 Census. Count of Private dwellings and Persons in occupied private dwellings. Count of all persons enumerated in the dwelling on Census Night, including visitors from within Australia. Excludes usual residents who were temporarily absent on Census Night. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, dwelling structure, dwellings, g32, gccsa, gcp, general community profile, persons
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2017

This dataset presents the footprint of the number of installations of small generation unit (SGU) wind systems and their rated output in kilowatts (kW). The data spans the months of 2017 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


Monthly installation data is provided for months where an installation was registered.


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
DSS - Quarterly Payment Recipients (SA2) March 2016

This dataset presents counts of payment recipients by payment type for the quarter ending March 2016. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
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.


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
ABS - ASGS - Statistical Area Level 3 (SA3) 2011

This dataset is the Statistical Area Level 3 (SA3) 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