AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (SA2) 2016

This data is SA2 based SEIFA data on The Index of Economic Resources, 2016. Data is based upon 2016 ASGS boundaries.
Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing. 
SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER).
Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage. 
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.

Tags: 2016, asgs aggregation, aus, australia, census, economic, ier, index, resources, seifa, socio-economic, socio-economic indexes for areas
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P43b Occupation by Age by Sex-Census 2016

SA2 based data for Occupation by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P43 is broken up into two sections (P43a and P43b), this section contains 'Persons 15-19 years Occupation Managers' - 'Persons 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, employment, occupation, p43b, pep, place of enumeration profile, sex , work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G52d Industry of Employment by Hours Worked by Sex-Census 2016

SA4 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 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, gcp, general community profile, hours, industry, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Patient Experiences - Adults who saw a GP (%) (PHN) 2013-2017

This dataset presents the footprint of the percentage of adults who saw a GP in the preceding 12 months. The data spans the years of 2013-2017 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.


Rows that contain a "#" in "Interpret with Caution" indicates that the estimate has a relative standard error of 25% to 50%, which indicates a high level of sampling error relative to its value and must be taken into account when comparing this estimate with other values.


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
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2012

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 2012 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
GCCSA-G17b Total Personal Weekly Income by Age by Sex-Census 2016

GCCSA 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 'Females $400-$499 Age 15-19 years' - 'Persons $800-$999 Total'.The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, age, census, g17b, gccsa, gcp, general community profile, personal income, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Social and Economic Indicators - Volunteering SA2 2016

This dataset presents the volunteering rate of the population in small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
This indicator is the number and proportion of people in the area who have done unpaid voluntary work through an organisation or group in the last 12 months.
All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying.
For more information please view the NATSEM Technical Report.
Please note: 


AURIN has spatially enabled the original data provided directly from NATSEM.


Where data values are NULL, the data is either unpublished or not applicable mathematically.


The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.


Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.



Tags: Australia, economic, indicators, model, sa2, social, socio economic, volunteering
Organization: University of Canberra - National Centre for Social and Economic Modelling
SA4-G01 Selected Person Characteristics by Sex-Census 2016

SA4 based data for Selected Person Characteristics by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The dataset includes the following characteristics: age bracket, location on census night, Aboriginal and/or Torres Strait Islander status, birthplace, language spoken at home, Australian citizenship, age bracket of those attending an educational institution, highest year level of schooling complete and occupation of a private or other dwelling. 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, g01, gcp, general community profile, person characteristics, sa4, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Shift share variables by LGA for Australia

Shift share variables of Local Government Areas in Australia (1996-2006). The components derived from shift share analysis of employment change 1996-2001-2006 include industry mix effect, national share effect, regional shift effect and the total shift. Description of shift-share analysis can be found in Stimson, et al (2002) Regional Economic Development p. 84-86. Data source: ABS 2006, 2001 and 1996 census data.

Tags: census, industry mix, national share, regional shift, shift share, total shift
Organization: University of Queensland - eResearch Group
SA1-based B30 Household composition by Number of Persons Usually Resident as at 2011-08-11

SA1 based data for Household Composition By Number Of Persons Usually Resident, for 2011 Census. Count of occupied private dwellings on Census night based on place of usual residence. Includes up to three residents who were temporarily absent on Census Night. 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
SA4-G46a Non-School Qualification-Level of Education by Age by Sex-Census 2016

SA4 based data for Non-School Qualification: Level of Education by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). Excludes schooling up to year 12. G46 is broken up into two sections (G46a-G46b), this section contains 'Males Postgraduate Degree Level Age 15 24 years' - 'Persons Postgraduate Degree Level Age 25-34 years'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, census, education, g46a, gcp, general community profile, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
QLD DOH - Perinatal Mothers and Babies (Point) 1995-2013

This dataset presents data regarding perinatal mothers and babies by individual hospital of birth for Queensland for the period of 1995 to 2013 calendar years.
For more information visit the Queensland Government Open Data Portal.
Please note: 


AURIN has spatially enabled this data. Data made available to you through a AURIN-QCIF-RIDL collaboration.


Geometries modified from Public Hospital Locations 2018 as provided by Queensland Health. Some data cannot be represented spatially, including from facilities which have closed and the location is no longer available, or for records pertaining to home births and non static services (e.g. Island Medical Service).



Tags: health
Organization: Government of Queensland - Department of Health
SA2-G55b Total Family Income (Weekly) by Labour Force Status of Partners for Couple Families with Children-Census 2016

SA2 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 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, 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
LGA11-based B18 Core Activity need for Assistance by Age by Sex as at 2011-08-11

LGA11 based data for ore Activity Need For Assistance By Age by Sex, for 2011 Census. Count of all persons 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
Standard Instrument Local Environmental Plan (LEP) - Minimum Subdivision Lot Size (LSZ) 8/12/2016 for NSW

This data identifies the minimum subdivision lot size (LSZ) for land under clause 4.1 of the LEP. This is the minimum size of a lot that may be created by subdividing land under the LEP. However, it may be subject to certain exceptions under other provisions of the LEP. The LSZ dataset describes the minimum subdivision lot size for individual pieces of land. When a lot is subdivided into one or more lots, each resultant lot area must be greater than or equal to the specified minimum subdivision lot size of the parent land parcel.
 The original GIS data was captured by local councils, DP&amp;I and contractors and provided in accordance with the DP&amp;I's Standard Requirements for GIS LEP data and Standard Technical Requirements for LEP maps. Before the LEP is notified on the NSW Legislation website, the mapping is checked by DP&amp;I and the Parliamentary Council's Office to ensure that it is consistent with these standards. After the LEP is notified, the GIS data is quality controlled using an ISO 9001-Quality-Certified, Quality Management System and incorporated into the Statewide dataset.
 The Land Application data relates directly to and adopts the accuracy of its reference dataset, Land and Property Information DCDB. The GIS data may be subject to change as a part of quality control, or if the LEP is amended. Please confirm dates of respective features before use as this dataset has a large temporal extent.

Tags: LSZ, environment, human, instrument, land use, minimum subdivision lot size, new south wales, nsw, planning
Organization: Government of New South Wales - Department of Planning and Environment
LGA15 Labour Force and Unemployment - 2016

Unemployment rates and labour force participation rates, 2016 (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).  Data uses the LGA 2015 profile (based on the LGA 2011 geographic boundaries).
 Source: Compiled by PHIDU based on the Small Area Labour Markets - Australia, Department of Employment, June Quarter 2016; and the ABS Estimated Resident Population, 30 June 2015.

Tags: labour force, lga profile 2015, phidu, public health information development unit, torrens university australia, tua, unemployment
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Age Distribution - Broad Age Groups: Females (PHA) 2019

This dataset, released September 2020, contains female usual resident population by broad age groups: 0-14, 15-24, 25-44, 45-64, 65+, 70+, 75+, 85+ years, 2019. 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 based on ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
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
VCGLR -  Liquor Licences by Location (Point) December 2016

Liquor license venue information from December 2016 (with Geo-coded location information). Note, this dataset describes active liquor licence data up to and including the last day of each month. Licences are in both metropolitan and regional Victoria, arranged by local government area, suburb and postcode.
For more information visit the Victorian Commission for Gambling and Liquor Regulation's (VCGLR) website.
Please note:

AURIN has spatially enabled the original data. 


Tags: licence, liquor, population
Organization: Government of Victoria - Victorian Commission for Gambling and Liquor Regulation
SA3-based B46 Method of Travel to Work by Sex as at 2011-08-11

SA3 based data for Method of Travel to Work by Sex, for 2011 Census. Count of employed 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
ABS Census - T14 Age By Labour Force Status (Part-Time/Full-Time) 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 age by labour force status (part-time/full-time) by sex. Counts are of all persons aged 15 years or more, 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) Full-time is defined as having worked 35 hours or more in the main job held last week.


(b) Comprises employed persons who did not state their hours worked.


(c) Comprises persons who did not state their labour force status. In the 1981 Census persons who had a labour force status of 'not stated' were imputed to valid categories. This did not occur in 1986 and 1991, therefore the 1986 and 1991 'not stated' counts should be distributed for a valid comparison to be made.



Tags: age, census, community, labour force, persons, profile, t14, time series, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics