AndreaBozzo/ceres-open-data-index huggingface dataset:
ABS Census - B12 Proficiency In English By Year Of Arrival (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to proficiency in English by year of arrival. Counts are of Persons born overseas (excluding overseas visitors) and aged 5 years or more, based on place of enumeration on census night which 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.

Tags: 1991, b12, basic community profile, bcp, census, english, language, migration, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Measures of Environmental Inequality across Culturally and Linguistically Diverse (CALD) Communities (SA1 Level) (2016)

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
SA4-P02 Selected Medians and Averages-Census 2016

SA4 based data for Selected Medians and Averages, in Place of Enumeration Profile (PEP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. 
For more information visit the data source: http://www.abs.gov.au/census. 

Tags: 2016, averages, census, medians, p02, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mortality Over Regions and Time (MORT) Books - Leading Causes of Death by Sex (LGA) 2012-2016

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to Local Government Area (LGA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).
Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.
Please note:


AURIN has spatially enabled the original data.


Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.


Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.


Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).


Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any LGA with less than 10 deaths in a single year.


Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
Australian Capital Region (ACR): Safety Indicators (2011-2013)

This table contains safety indicators (number of homicides and crime against property, as well as number of police working in the area) for ACT (SA3) and surrounding NSW Councils (LGA) from various sources such as NSW Bureau of Crime Statistics and Research, ACT AFP crime statistics (http://www.police.act.gov.au/crime-and-safety/crime-statistics.aspx) and 2011 ABS Census of Population and Housing, based on place of work.

Tags: safety
Organization: University of Canberra - National Centre for Social and Economic Modelling
ABS - ASGS Non ABS Structures - Australian Drainage Divisions (ADD) 2011

This dataset is the Australian Drainage Divisions (ADD) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 3 - Non ABS Structures, 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
LGA-P18 Core Activity Need for Assistance by Age by Sex-Census 2016

LGA based data for Core Activity Need for Assistance by Age by Sex, in Place of Enumeration Profile (PEP), 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 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, assistance, census, core activity, disabled, need for assistance, p18, pep, place of enumeration profile
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Specialist Homelessness Services Collection - Total Clients (LGA) 2014-2019

This dataset presents the total number of distinct specialist homeless services clients. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2018 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).
The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19.
For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide.
Notes:


Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted.


Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure).


Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings.


AURIN has spatially enabled the original data.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA2-G19 Voluntary Work by Age by Sex-Census 2016

SA2 based data for Voluntary Work for an Organisation or Group by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. The data is bySA2 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, g19, gcp, general community profile, sa2, sex, voluntary work, volunteer
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B12 Proficiency In English By Year Of Arrival (CD) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Census Collection Districts (CD) in Australia. 
This table contains data relating to proficiency in English by year of arrival. Counts are of Persons born overseas (excluding overseas visitors) and aged 5 years or more, based on place of enumeration on census night which excludes adjustment for under-enumeration. The data is by CD 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 extracted from CDATA91 which was supplied to AURIN by the University of Melbourne. 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, b12, basic community profile, bcp, census, english, language, migration, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Patient Experiences - Adults who were Admitted to Any Hospital (%) (PHN) 2013-2017

This dataset presents the footprint of the percentage of adults who were admitted to any hospital 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
ABS - Personal Income - Investment Income (SA2) 2011-2018

This dataset presents information about investment income. The data covers the financial years 2011-12 to 2017-18, and is based on Statistical Area Level 2 (SA2) according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).
Investment income includes the following data items on the Individual Tax Returns (ITR):


Gross interest


Dividends unfranked amount


Dividends franked amount


Dividends franking credit


Share of net income from trusts less net capital gains and foreign income non primary production


Franked distributions from trusts - non-primary production


Australian franking credits from a New Zealand company


Net foreign rent


Net rent


All monetary values are presented as gross pre-tax dollars, as far as possible. This means they reflect income before deductions and loses, and before any taxation or levies (e.g. the Medicare levy or the temporary budget repair levy) are applied. The amounts shown are nominal, they have not been adjusted for inflation. The income presented in this release has been categorised into income types, these categories have been devised by the Australian Bureau of Statistics (ABS) to closely align to ABS definitions of income.
The statistics in this release are compiled from the Linked Employer Employee Dataset (LEED), a cross-sectional database based on administrative data from the Australian taxation system. The LEED includes more than 120 million tax records over seven consecutive years between 2011-12 and 2017-18.
Please note:


All personal income tax statistics included in LEED were provided in de-identified form with no home address or date of birth. Addresses were coded to the ASGS and date of birth was converted to an age at 30 June of the reference year prior to data provision.


To minimise the risk of identifying individuals in aggregate statistics, perturbation has been applied to the statistics in this release. 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. These adjustments have a negligible impact on the underlying pattern of the statistics. Some cells have also been suppressed due to low counts.


Totals may not align with the sum of their components due to missing or unpublished information in the underlying data and perturbation.


For further information please visit the Australian Bureau of Statistics.
AURIN has made the following changes to the original data:


Spatially enabled the original data.


Set 'np' (not published to protect the confidentiality of individuals or businesses) values to Null.



Tags: Demography, Economic geography , HUMAN SOCIETY, Human geography, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-based B24 Number of Children Ever Born by Age of Parent as at 2011-08-11

SA4 based data for Number Of Children Ever Born by Age of Parent, for 2011 Census. Count of females 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
CER - Small-scale Installations - Small Generation Unit - Wind (POA) 2008

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 2008 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
DJSB Small Area Labour Market - Labour Force SA2 2010-2018

This datasets presents smooth values of the number of people in the labour force of Statistical Area Level 2 (SA2) regions for each quarter starting December 2010 up to June 2018. The boundaries used for the dataset follow the 2011 edition of the Australian Statistical Geography Standard (ASGS).
Small Area Labour Markets presents regional estimates of unemployment and the unemployment rate at two small area levels:


For approximately 2,100 Australian Bureau of Statistics’ (ABS) Statistical Area Level 2s (SA2s), on a State/Territory and Metropolitan/Non-metropolitan basis; and


For each of Australia’s 540 Local Government Areas (LGAs).


The estimates in Table 1 and 2 are smoothed using a four-quarter average to minimise the variability inherent in small area estimates. A description of the methodology used to prepare the estimates in this publication is presented in the Explanatory Notes, as well as on page 43 of the PDF Publication.
Please note: 


AURIN has spatially enabled the original data.


Where data values were "-" (no data provided) in the original data they have been set to null.


Caution: Highly disaggregated estimates of unemployment and the unemployment rate at the SA2 and LGA level can display significant variability and should be viewed with caution. Indeed, quarter-to-quarter comparisons may not be indicative of actual movements in the labour market. It is therefore recommended that year-on-year comparisons be used.



Tags: estimates, labour, labour force, market, rate, small area, unemployment
Organization: Government of the Commonwealth of Australia - Department of Jobs and Small Businesses
SA2-P16a Highest Year of School Completed by Age by Sex-Census 2016

SA2 based data for Highest Year of School Completed by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who are no longer attending primary or secondary school. P16 is broken up into 2 sections (P16a - P16b), this section contains 'Males Year 12 or equivalent Age 15-19 years' - 'Persons Year 9 or equivalent 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, education, highest year of schooling, p16a, pep, place of enumeration profile, school, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics