AndreaBozzo/ceres-open-data-index huggingface dataset:
SA3-G01 Selected Person Characteristics by Sex-Census 2016

SA3 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 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, census, g01, gcp, general community profile, person characteristics, sa3, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Potentially Preventable Hospitalisations (PPH) - Location of Client (SA3) 2013-2017

This dataset presents the footprint of statistics of potentially preventable hospitalisations (PPH). PPH does not mean that a patient admitted for that condition did not need to be hospitalised at the time of admission. Rather the hospitalisation could have potentially been prevented through the provision of appropriate preventative health interventions and early disease management in primary care and community-based care settings. PPH rates are indicators of the effectiveness of non-hospital care. The data spans the financial years of 2013-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Australian Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient morbidity data collection systems in Australian public and private hospitals.
For further information about this dataset visit the data source:Australian Institute of Health and Welfare - Potentially Preventable Hospitalisations Data Tables.
Please note:


AURIN has spatially enabled the original data.


In tables presenting measures by PPH condition, some hospitalisations may account for multiple PPH conditions. As a result, conditions may not sum to categories, and categories may not sum to Total PPH.


The counting unit for this publication were episodes of stay, measured by financial year of separation. This may be a complete hospital stay (to discharge, transfer, or death), or a part of the stay if there was a change of care type (for example from acute to rehabilitation). As a record is included for each hospitalisation, not for each patient, patients hospitalised more than once or transferred between hospitals in the financial year will have more than one record.


Episodes for unqualified newborn care, posthumous organ procurement or hospital boarders were excluded.


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).


The definition of SA3 reported varies by financial year. Results for 2016-17 are reported using the 2016 release of SA3 and results for earlier years are reported using the 2011 release of SA3.


National totals include data where the place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined but these data are excluded from PHN and SA3 area estimates.


All data for an area were suppressed (marked NP) if the number of rounded PPH was less than 5. Values assigned 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
GCCSA-G39 Dwelling Structure by Household Composition and Family Structure-Census 2016

GCCSA based data for Dwelling Structure by Household Composition and Family Composition, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households.  Excludes overseas visitors. In multiple family households, only the family composition of the primary family is included. 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, composition, dwelling structure, family, g39, gccsa, gcp, general community profile, household
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-based B08B Ancestry by Birthplace of Parents as at 2011-08-11

SA2 based data for Ancestry, for 2011 Census. Count of all persons and responses on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-G44b Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families-Census 2016

LGA based data for Labour Force Status by Sex of Parents by Age of Dependent Children for Couple Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in couple families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. Comprises couple families with both parents present at their usual residence on Census Night. Excludes same-sex couples. G44 is broken up into 6 sections (G44a - G44f), this section contains 'Dependent children Aged 5-9 years Female parent Total Employed Male Parent Total Labour Force' - 'Dependent children Aged 10-12 years Female parent Not in the labour force Male parent Employed Hours worked not stated'. 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, census, dependent children, family, g44b, gcp, general community profile, labour force, parents, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Screening (LGA) 2013-2015

This dataset, released March 2018, contains screening program information relating to Bowel screening, 2014/15; Breast screening, 2013 and 2014; and Cervical screening, 2013 and 2014. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data.
Source: Compiled by PHIDU based on data provided by the Department of Health from the National Bowel CancerScreening Program, 2014/15; BreastScreen NSW, BreastScreen Vic, BreastScreen SA, and BreastScreen ACT; the ABS Estimated Resident Population, 30 June 2013 and 30 June 2014; NSW Department of Health and NSW Central Cancer Registry, 2013 and 2014;  Victorian Cervical Cytology Registry, 2013 and 2014; SA Cervix Screening Program, 2013 and 2014;  Western Australia Cervical Cytology Register, 2013 and 2014; and ACT Cytology Register, 2013 and 2014; and the average of the ABS Estimated Resident Population, 30 June 2013 and 30 June 2014 (NSW, Vic, WA, SA andACT); with hysterectomy fraction data derived from the AIHW analysis of the National Hospital Morbidity Database, 2013-14.
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
LGA-W04a Status in Employment by Labour Force Status by Age by Sex-Census 2016

LGA based data for Status of Employment by Labour Force Status by Age by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W04 is broken up into 3 sections (W04a - W04c), this section contains 'Males Employed worked full-time 15-19 years Employee' - 'Females Employed worked full-time 25-29 years Owner managers of incorporated enterprises'. 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, employment, employment status, labour force, w04a, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-P22a Unpaid Child Care by Age by Sex-Census 2016

SA4 based data for Unpaid Child Care by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over who in the two weeks prior to Census night, spent time caring for a child/children (under 15 years) without pay. P22 is broken up into 2 sections (P22a - P22b), this section contains 'Females 15-19 years Cared for Other child/children only' - 'Persons 45-54 years Total'. The data is by 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, child care, p22a, pep, place of enumeration profile, sex, unpaid care
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
RAI - Natural Resources 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 Forum's 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.
A regions physical endowment in terms of both the access to natural resources and the physical attributes of the region such as climate are hugely influential in determining a regions competitiveness. Access to natural resources can create economic opportunities through offering inputs to production (such as access to water or good quality soil) and can be used to generate production outputs (such as minerals or extractives).
Similarly the physical make up of a region can be an important determinant of the region's ability to connect to external markets. If a region is situated on the ocean they may have access to ports a viable tourism industry and be naturally more connected to wider markets than an inland region. In contrast an area which is difficult to access such as a mountainous region or a remote community will have more difficulty exporting goods and therefore be at an automatic comparative disadvantage.

Tags: natural resources
Organization: Regional Australia Institute
DSS - Quarterly Payment Recipients (LGA) March 2018

This dataset presents counts of payment recipients by payment type for the quarter ending March 2018. The data is based on the recipient's geocoded address aggregated by Local Government Area (LGA) from the Australian Statistical Geography Standard (ASGS) 2014.
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 4 have been suppressed and replaced with '&lt;5' 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 5.


Individuals who live overseas, individuals who are without a valid home address and individuals who only have a postal address cannot be assigned to a locational boundary. State/territory totals derived from Local Government Area data will not match actual state and territory totals, due to different statistical geography methodologies.


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;5' 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 - Personal Income - Investment Income (SA4) 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 4 (SA4) 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
VIC DET - VCAMS Indicators - 16.2a: Proportion of Year 12 or Equivalent Completions (LGA) 2009-2014

This dataset presents indicator 16.2a: Proportion of young people aged 19 years who have attained Year 12 or equivalent. The data covers the years of 2009-2014 and is aggregated by Local Government Areas (LGA) from the 2016 Australian Statistical Geography Standard (ASGS). This dataset is part of the Victorian Department of Education and Training's Victorian Child and Adolescent Monitoring System (VCAMS) data release. This dataset is sourced from Skills Victoria and Victorian Curriculum and Assessment Authority.
The VCAMS Framework comprises 150 indicators as agreed by the Children's Service Coordination Board. It incorporates 35 outcomes that relate to aspects of children's health, development, safety, learning and well-being in four categories - the child, families, community, and supports and services.
For more information, please visit VCAMS Indicators.
Please note: 


AURIN has spatially enabled the original data.


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



Tags: VIC, Victoria, children, development, education, health, polygon, safety, youth
Organization: Government of Victoria - Department of Education and Training
Geoscience Australia - Waste Management Facilities 2017

The Waste Management Facilities Database presents the spatial locations, in point format, all known waste management, recycling and reprocessing facilities within Australia. Australia's known landfills include: waste transfer stations and a large number of waste reprocessing facilities. The data are a compilation of Australian, jurisdictional government, council and industry databases. The purpose of the Waste Management Facilities Database is to support decision makers from industry, governments and other interested parties make better, and more informed decisions based on evidence based information.
For more information please visit the Australian Government Data Portal.

Tags: Australia, facility, geoscience, landfill, point, reprocessing, tip, transfer, waste
Organization: Government of the Commonwealth of Australia - Geoscience Australia
ABS Census - B24 Industry Sector 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 industry sector 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, b24, basic community profile, bcp, census, employment, industry, place of enumeration, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Specialist Homelessness Services Collection - Clients by Age and Sex (LGA) 2014-2019

This dataset presents the number of distinct specialist homeless services clients by client type, sex and age group. 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 and has set suppressed values (".") as Null.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA3-based B10A Country of Birth of Person by Year of Arrival in Australia as at 2011-08-11

SA3 based data for Year of Arrival in Australia, 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