AndreaBozzo/ceres-open-data-index huggingface dataset:
SA3-W04c Status in Employment by Labour Force Status by Age by Sex-Census 2016

SA3 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 'Persons Employed worked full-time 35-39 years Status in employment not stated' - 'Persons Total Total'. 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, employment, employment status, labour force, w04c, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Age Distribution - 5 Year Age Groups: Males (PHA) 2017

This dataset, released November 2018, contains male estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2017. 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.
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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SA2-P17c Total Personal Weekly Income by Age by Sex-Census 2016

SA2 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 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, p17c, pep, personal income, place of enumeration profile, sex, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Life Satisfaction Indicators - Synthetic Estimates SA2 2016

This dataset presents the synthetically modeled indicators relating to the life satisfaction of the population of small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators are produced by the spatial micro-simulation model (SpatialMSM). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
NATSEM’s spatial microsimulation model uses a technique that takes a survey and reweights it to small area Census data. SpatialMSM18 is the application of the NATSEM Spatial Microsimulation model using the Household, Income and Labour Dynamics in Australia (HILDA) dataset, the ABS Housing Expenditure Survey (for financial stress) and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used.
Data in this dataset comes from NATSEM's spatial microsimulation model. Estimates are for subjective life satisfaction based on questions in the HILDA dataset. A full description of the model, and validation, can be found in the accompanying 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.



Tags: Australia, health, indicators, model, sa2, socio economic, synthetic, wellbeing
Organization: University of Canberra - National Centre for Social and Economic Modelling
SSD Early Childhood Development - Australian Early Development Index 2009

TThe Australian Early Development Index (AEDI) provides information about how children have developed by the time they start school across five areas of early childhood development: physical health and wellbeing, social competence, emotional maturity, language and cognitive skills (schools-based), and communication skills and general knowledge. The AEDI results report on the number of children scoring in the following percentile ranges: 0 to 10th percentile (developmentally vulnerable), 11th to 25th percentile (developmentally at risk), 26th to 50th (on track lower range) and above the 50th percentile (on track higher range), by SSD for 2009.

Tags: aedi, cognitive skills, communication, early childhood development, early development index, emotional maturity, language, physical health, population, social, social competence
Organization: Torrens University Australia - Public Health Information Development Unit
DSS - Quarterly Payment Recipients (SA2) September 2016

This dataset presents counts of payment recipients by payment type for the quarter ending September 2016. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2011.
The Department of Social Services (DSS) is the Australian Government's lead agency in the development and delivery of social policy, and is working to improve the lifetime wellbeing of people and families in Australia. DSS' policies and services respond to need across people's lives - looking after families, children and older people; providing a safety net for people who cannot fully support themselves; enhancing the wellbeing of people with high needs; assisting people who need help with care; and supporting a diverse and harmonious society. DSS supports people and families in Australia by encouraging independence and participation, and supporting a cohesive society.
For more information on this dataset please visit the Australian Government Open Data.
For further details on payments, see 'A guide to Australian Government payments'.
Please note:


In order to protect individuals' privacy, identified populations between 1 and 19 have been suppressed and replaced with '&lt;20' for confidentiality purposes. Additional data may be suppressed and replaced with 'n.p.' (not provided) to prevent the derivation of identified populations that have values of less than 20.


Caveats specific to payments type can be found in the relevant payment description of the original data.


AURIN has spatialised this dataset and have made the following replacements to enforce data type consistency: 


'&lt;20' has been assigned a value of '-1' within the data


A boolean field has been created for each data field to flag left-censored data. 'True' is assigned to fields that have been censored.


'n.p.' (not provided) has been set to Null within the data.



Tags: Demographics, Services, Social Services, Socio-economics
Organization: Australian Government - Department of Social Services
DSS - Quarterly Payment Recipients (SA2) September 2019

This dataset presents counts of payment recipients by payment type for the quarter ending September 2019. The data is based on the recipient's geocoded address aggregated by Statistical Area Level 2 (SA2) from the Australian Statistical Geography Standard (ASGS) 2016.
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.


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
SA3-G20a Number of hours of Unpaid Domestic Work by Age by Sex-Census 2016

SA3 based data for Unpaid Domestic Work: Number of Hours by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. It includes work that the person did without pay, in their own home and in other places, for themselves, their family and other people in the household, in the week prior to Census night. G20 is broken up into 2 sections (G20a - G20b), this section contains 'Males 15-19 years Did unpaid domestic work Less than 5 hours' - 'Persons 85 years and over Did unpaid domestic work 30 hours or more'.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, age, census, domestic work, g20a, gcp, general community profile, hours, household work, sa3, sex, unpaid work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G57b Occupation by Age by Sex-Census 2016

SA3 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 'Persons 15-19 years Occupation Managers' - 'Persons Total Total'. 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, age, census, g57b, gcp, general community profile, occupation, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G45b Labour Force Status by Sex of Parents by Age of Dependent Children for One Parent Families-Census 2016

SA3 based data for Labour Force Status by Sex of Parent by Age of Dependent Children for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of dependent children in one parent families. Comprises children aged under 15 years and dependent students aged 15-24 years who were present at their usual residence on Census Night. G45 is broken up into 2 sections (G45a - G45b), this section contains 'Total Lone Parents Employed Worked Part-time Age Of Dependent Children 0-4 Years' - 'Total Lone Parents Total Total'. 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, age, census, dependent children, family, g45b, gcp, general community profile, labour force, lone parent, sex, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
CCD-B04 Age by Registered Marital Status by Sex-Census 1996

Census Collection District (CCD) based data for Age by Registered Marital Status by Sex, in Basic Community Profile, 1996 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, never married, and total. The data is by CCD 1996 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (geographic boundary cat. no. 1261.0.30.001 &amp; census dictionary cat. no. 2901.0) used with permission from the Australian Bureau of Statistics. 
For more information visit  the ABS .

Tags: 1996, b04, basic community profile, bcp, census, marital status, marriage
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NATSEM - Indicators - Child Social Exclusion Index (SLA) 2006

NATSEM child social exclusion index (2006) by SLA boundaries in Australia. Brisbane SLAs have been aggregated up to Local Council Electoral Wards and ACT SLAs have been aggregated up to Statistical Sub-Divisions. The index is calculated based on data from the ABS Census of Population and Housing 2006. In the data, the lowest CSE quintile represents the highest risk of child social exclusion. The Child Social Exclusion Index estimates social exclusion risk at a small area level for children aged 0 - 4 , 5 - 15 and 0 - 15 years. The index is based on characteristics of children's parents, families and households, and includes data about parental partnership status, employment and volunteerism, family educational attainment and occupation, household income, housing, transport and internet connection. The index depends on the variables chosen to represent social exclusion and the methodology used to summarise these data. Prior to the indexation, NATSEM remove any SLAs that had low cell counts or had a very high non-response rate in the census. Low cell counts mean that even a very small change in the data can mean a large percentage change (so one extra child at risk of social exclusion may represent a 33 per cent increase if there are only 3 children in the SLA). To deal with the issue of low cell counts, NATSEM excluded from the analysis SLAs with fewer than 30 children in either the 0-4 or 5-15 age groups. These SLAs are noted with an asterisk (*).

Tags: child social exclusion
Organization: University of Canberra - National Centre for Social and Economic Modelling
PHIDU - Prevalence of Selected Health Risk Factors - Children and Youth (LGA) 2017-2018

This dataset, released January 2020, contains data pertaining to Overweight and obesity (children) (modelled estimates), 2017-2018; Fruit consumption (children) (modelled estimates), 2017-18. The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS; estimates at the LGA and PHN level were derived from the PHA estimates.
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
PHIDU - Age Distribution - 5 Year Age Groups: Females (LGA) 2019

This dataset, released September 2020, contains female estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. 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 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
PHIDU - Emergency Department Presentations - Total (PHN) 2017-2018

This dataset, released June 2020, contains total Emergency department presentations by principal diagnosis, 2017/18. Presentations include Total presentations; Total presentations for certain infectious and parasitic diseases; Total presentations for mental and behavioural disorders; Total presentations for diseases of the circulatory system; Total presentations for diseases of the respiratory system; Total presentations for diseases of the digestive system; Total presentations for diseases of the musculoskeletal system and connective tissue; Total presentations for diseases of the genitourinary system; Total presentations for injury, poisoning and certain other consequences of external causes; Total presentations for factors influencing health status and contact with health services; Total presentations for other diseases/ conditions.
The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU 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
SA3-based B20A Unpaid Domestic Work: Number of Hours by Age by Sex as at 2011-08-11

SA3 based data for Unpaid Domestic Work: Number Of Hours 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
SA4-W24b Labour Force Status by Core Activity Need for Assistance by Age-Census 2016

SA4 based data for Labour Force Status by Core Activity Need for Assistance by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. 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. W24 is broken up into 2 sections (W24a - W24b), this section contains 'Need for assistance not stated 75 years and over Employed Worked Full-time' - 'Total 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, assistance, census, disability, labour force, w24b, work, work status, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-P25 Family Composition-Census 2016

SA1 based data for Family Composition, in Place of Enumeration Profile (PEP), 2016 Census. Count of families and persons in families in occupied private dwellings. Excludes family members temporarily absent on Census Night. Includes same sex couple families. The data is by SA1 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, family, p25, pep, place of enumeration profile, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Regional Population (SA2) 2001-2020

This dataset contains estimates of the resident population and estimates of the components of population change as at 30 June for the years 2001-2020. The data is aggregated to the 2016 Australian Statistical Geography Standard (ASGS) Statistical Areas Level 2 (SA2).
This data is sourced from the Australian Bureau of Statistics (Catalogue Number: 3218.0).
For more information please visit the Regional population methodology.
Notes:  The population estimates in this issue are final for 2001 to 2016, revised for 2017 to 2019, and preliminary for 2020.
Estimated resident population (ERP) is the official estimate of the Australian population, which links people to a place of usual residence within Australia. Usual residence within Australia refers to that address at which the person has lived or intends to live for six months or more in a given reference year. For the 30 June reference date, this refers to the calendar year around it. Estimated resident population is based on Census counts by place of usual residence (excluding short-term overseas visitors in Australia), with an allowance for Census net undercount, to which are added the estimated number of Australian residents temporarily overseas at the time of the Census.
AURIN has ingested this dataset in its GeoPackage format.

Tags: Demography, HUMAN SOCIETY, Population trends, policies 
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics