AndreaBozzo/ceres-open-data-index huggingface dataset:
GCCSA-G06 Social Marital Status by Age by Sex-Census 2016

GCCSA based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. 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, g06, gccsa, marital status, sex, social
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B34 Family Type (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 family type (a). Counts are of all families, 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) This table provides comparability with the 1986 family classification. Where categories have changed, thefootnotes explain the equivalent terminology used in 1986. Full comparability is not possible because the definition ofdependent offspring has changed. In 1986 a 'dependent family child' was aged 0-14, or 15-20 years and a full-timestudent, whereas in the 1991 Census, 21-24 year old offspring studying full-time are also defined as dependents.


(b) In the 1986 Census these families were classified as 'one parent families with dependents and related adults'.


(c) In the 1986 Census these families were classified as 'families of related adults only'


(d) In the 1986 Census these families were classified as 'couples with dependents and related adults'. 


(e) In the 1986 Census these families were classified as 'couples with related adults'.



Tags: 1991, b34, basic community profile, bcp, census, children, family composition, family type, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4 Estimates of Personal Income - Employee Income by Occupation and Age 2010-2015

This dataset presents aggregated values of Employee Income by Occupation and Age as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 4 (SA4) boundaries.
This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:


Employee Income


Own Unincorporated Business Income


Investment Income


Superannuation Income


Other Income (Income not allocatable to any other categories)


Total Income (Sum of previous categories)
These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS):  Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).


For more information on the release please visit the Australian Bureau of Statistics.
Please note:


When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.


To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.


Where data is not available or not for publication, the record has been set to a null value.



Tags: ABS, ATO, Australia, aus, economy, finance, income, personal
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G13a Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

GCCSA based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Males Speaks English only' - 'Males Speaks Southeast Asian Austronesian Languages Other And speaks English Very well or well'.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, english proficiency, g13a, gccsa, gcp, general community profile, language, language spoken at home, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G22b Unpaid Child Care by Age by Sex-Census 2016

GCCSA based data for Unpaid Child Care by Age by Sex, in General Community Profile (GCP), 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. G22 is broken up into 2 sections (G22a - G22b), this section contains 'Persons 85 years and over Did not provide child care' - '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, age, census, child care, g22b, gccsa, gcp, general community profile, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W17a Occupation by Total Personal Income (weekly) by Hours Worked-Census 2016

SA2 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 'Managers Negative Nil income Number of hours worked None' - 'Professionals $300-$399 Number of hours worked 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, income, occupation, personal income, w17a, weekly income, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Standard Instrument Local Environmental Plan (LEP) - Land Reservation Acquisition (LRA) 16/07/2016 for NSW

This data identifies land that may be acquired by an authority of the State or land to which the owner-initiated acquisition provisions in Division 3 of Part 2 of the Land Acquisition (Just Terms Compensation) Act 1991 applies. Clause 5.1 of the LEP identifies the authority of the State that will be the relevant authority to acquire this land if the owner-initiated acquisition provisions are engaged. The LRA dataset identifies land that is to be acquired for a public purpose. The dataset identifies the purpose for which the land is to be acquired and the relevant authority. Public purposes can include roads, recreational and open spaces and national parks.
 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: LRA, environment, human, instrument, land reservation acquisition, land use, new south wales, nsw, planning
Organization: Government of New South Wales - Department of Planning and Environment
SA3-based B21 Unpaid Assistance to a Person with a Disability by Age by Sex as at 2011-08-11

SA3 based data for Unpaid Assistance To A Person With A Disability 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
SA Heritage Places (Points) 2017

SA Heritage Places indicates the spatial location of State Heritage Places from the South Australian Heritage Register (see the Heritage Resister for more information), Local Heritage Places and Contributory Items from council development plans. Information about each heritage place includes: the land parcel associated with each heritage place/item; description, criteria for listing; address, plan/parcel/title, Local Government Area, development plan name. 
 SA Heritage Places is available as spatial layers in point (centroid of the heritage place) and polygon (indicative footprint of the heritage place) format. This dataset contains the spatial layers in point form. For more information, visit the data source: South Australian Government Data Directory and to search the data source, visit the Heritage Places Database 

Tags: Heritage, Heritage Places, Heritage Register, Local Heritage, Planning, SA, South Australia, historic, historic properties
Organization: Government of South Australia - Department of Planning Transport and Infrastructure
ABS Census - E20 Industry By Sex (SLA) 1991

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to employment industry 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, census, community, e20, ecp, employment, expanded, industry, profiles
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CER - Small-scale Installations - Solar Water Heater - Solar Panel (POA) 2014

This dataset presents the footprint of the number of installations of solar water heater (SWH) solar panel systems. The data spans the months of 2014 and includes a 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 small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and 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.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
GCCSA-G57a Occupation by Age by Sex-Census 2016

GCCSA based data for Occupation by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of employed persons aged 15 years and over. G57 is broken up into two sections (G57a-G57b) this section contains 'Males 15-19 years Occupation Managers' - 'Females 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, age, census, g57a, gcp, general community profile, occupation, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W10b Industry of Employment by Owner Managers by Number of Employees-Census 2016

LGA based data for Industry of Employment by Owner Managers By Number of Employees, in Working Population Profile (WPP), 2016 Census. Count of owner managers of enterprises. Records the number of employees (in ranges) employed by owner managers (excluding the owner managers themselves). W10 is broken up into 2 sections (W10a - W10b), this section contains 'Unincorporated enterprises Inadequately described Not stated Owner managers of enterprises with Nil employees' - 'Unincorporated enterprises Total Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. 
Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, census, employees, employment, industry, industry of employment, manager, number of employees, owner, w10b, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-P17c Total Personal Weekly Income by Age by Sex-Census 2016

GCCSA based data for Total Personal Income (Weekly) by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over. P17 is broken up into 3 sections (P17a - P17c), this section contains 'Persons $650-$799 Age 15-19 years' - '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, age, census, p17c, pep, personal income, place of enumeration profile, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G09b Country of Birth by Age by Sex-Census 2016

GCCSA 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 'Males Ireland Age 0-4 years' - 'Males South Africa Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09b, gccsa, gcp, general community profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Emergency Department Presentations - Resuscitation and Emergency (PHA) 2017-2018

This dataset, released June 2020, contains Emergency department presentations for resuscitation and emergency by principal diagnosis, 2017/18. Presentations include Resuscitation and emergency presentations - Total; Resuscitation and emergency presentations for diseases of the circulatory system; Resuscitation and emergency presentations for diseases of the respiratory system; Resuscitation and emergency presentations for injury, poisoning and certain other consequences of external causes; Resuscitation and emergency presentations for other diseases or conditions. 
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 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
GCCSA-G15 Type of Educational Institute Attending by Sex-Census 2016

GCCSA based data for Educational Institution Attending (Full/Part Time Students Status by Age) by Sex, in General Community Profile (GCP), 2016 Census. Count of persons attending an educational institution. 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, education, educational institution, g15, gccsa, gcp, general community profile, sex, student
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
RAI - Human Capital Indicators (LGA) 2011

This data has been created by the Regional Australia Institute for the [In]Sight competitive index released in 2012. Modelled on the World Economic Forums Global Competitiveness Report [In]Sight was developed in collaboration with Deloitte Access Economics and combines data from sources including the Australian Bureau of Statistics and the Social Health Atlas of Australia.
Human capital is a measure of the capabilities and skills of the workforce in a particular region. Both health and education are major contributors to a region's level of human capital as both of these factors are understood to increase labour efficiency and competitiveness. 
Regions of non-metropolitan Australia which have high levels of human capital that is a well educated workforce and a propensity towards lifelong learning are expected to experience higher levels of economic growth are more adaptive and innovative and are more resilient to negative outside influences.

Tags: education
Organization: Regional Australia Institute