AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Premature Mortality - Sex (LGA) 2014-2018

This dataset, released February 2021, contains the statistics of premature mortality for females, males and persons below 75 years, over the years 2014 to 2018.
The data is by Local Government Area (LGA) 2016 geographic boundaries.
For more information please see the data source notes on the data. 
Source: Data compiled by PHIDU from deaths data based on the 2014 to 2018 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population is the ABS Estimated Resident Population (ERP) for Australia, 30 June 2014 to 30 June 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available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells.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
SA2-G09g Country of Birth by Age by Sex-Census 2016

SA2 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 'Persons Greece Age 0-4 years' - 'Persons Pakistan Total'. The list of countries consists of the 50 most common Country of Birth responses reported in the 2011 Census. 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, birthplace, census, country of birth, g09g, gcp, general community profile, sa2, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS - Usual Residential Population and Dwelling Count (MB) 2011

This dataset contains counts of the total usual resident population and total dwelling count from the 2011 Census of Population and Housing for Mesh Blocks. Refer to the Australian Bureau of Statistics' Census of Population and Housing: Mesh Block Counts, 2011.

Tags: census, mesh blocks, total dwelling count, total usual resident population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Business Establishments by ANZSIC Industries (Block) 2003

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the number of business establishments per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2003.
A business establishment is defined as a 


Commercial occupant in a building


Separate land use


Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).


Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.
For more information please visit the City of Melbourne CLUE Portal and ABS ANZSIC Page.
Please note: 


AURIN has spatially enabled the data acquired through the City of Melbourne Open Data Portal.


The individual yearly tables have been extracted from the archived 2002-2017 tables.


The data in this table is a snapshot and not live.



Tags: 2003, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
LGA-I11 Type of Internet Connection by Indigenous Status of Household-Census 2016

LGA based data for Dwelling Internet Connection by Indigenous Status of Household, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records whether any member of the household accesses the internet from the dwelling. This includes accessing the internet through a desktop/laptop computer, mobile or smart phone, tablet, music or video player, gaming console, smart TV or any other devices.  It also includes accessing through any type of connection for example ADSL, fibre, cable, wireless, satellite and mobile broadband (3G/4G). A household with Aboriginal and/or Torres Strait Islander person(s) is any household that had at least one person of any age as a resident at the time of the Census who identified as being of Aboriginal and/or Torres Strait Islander origin. 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, aboriginal torres strait islander peoples, atsip, census, household, i11, indigenous status, internet, internet connection
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA15 Mothers (smoking) and Babies - 2012-2015

The data includes the number of mothers and their proportion of the relevant population: who were smokers during a pregnancy, whose babies had a low birth weight (2012-14).
Source: Compiled by PHIDU based on data from: NSW Department of Health; Consultative Council on Obstetric and Paediatric Mortality and Morbidity, Victoria; Perinatal Data Collection, Department of Health, Queensland; Department of Health and Ageing SA; WA Department of Health; Tasmanian Perinatal Database; NT Department of Health; ACT Health.The data also includes the number of babies and their proportion of the relevant population who were: fully breastfeeding at 3 months, fully breastfeeding at 6 months, ate soft foods before 4 months (2014-15). 
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.Data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries) (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia).  

Tags: babies, lga profile 2015, mothers, phidu, public health information development unit, torrens university australia, tua
Organization: Torrens University Australia - Public Health Information Development Unit
LGA-W03b Status in Employment by Hours Worked by Age-Census 2016

LGA based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Owner managers of incorporated enterprises 45-49 years Number of hours worked None' - 'Owner managers of unincorporated enterprises 70-74 years 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, employment, employment status, w03b, work, work hours, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Indigenous Eye Health Measures - Hospitalisation Rates for Eye Injury (PHN) 2014-2016

This dataset presents the footprint of the rate of hospitalisations for eye injury per 1,000 Indigenous population by client location. The location of the client is based on their place of usual residence. The data spans the financial years between 2014-2016 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 Institute of Health and Welfare (AIHW) - National Hospital Morbidity Database (NHMD), which is a compilation of episode-level records from admitted patient care data collection systems in Australian hospitals in each state and territory. The NHMD is based on data provided to the AIHW by state and territory health authorities for the National minimum data set (NMDS) for Admitted patient care.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Indigenous Eye Health Measures 2017 Data Tables.
Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


The data are crude rates.


Values assigned to "n.p." in the original data have been removed from the data.


Data by PHN should be interpreted with caution due to variations in admission practices, and because patients may be hospitalised outside the PHN where they reside.


The quality of data provided for Indigenous status varies. Time-series analyses may also be affected by changes in the quality of Indigenous identification over time.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
PHIDU - Potential Years of Life Lost - Persons (PHN) 2014-2018

This dataset, released February 2021, contains the potential years of life for all death of persons aged 0 to 14, 15 to 24, 25 to 44, 45 to 64 and 65 to 74, over the years 2014 to 2018. Potential years of life lost represents the sum of the actual age at death and 75 years of age.
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: Data compiled by PHIDU from deaths data based on the 2014 to 2018 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population is the ABS Estimated Resident Population (ERP) for Australia, 30 June 2014 to 30 June 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
SA2-G28 Total Family Income (Weekly) by Family Composition-Census 2016

SA2 based data for Total Family Income (Weekly) by Family Composition, in General Community Profile (GCP), 2016 Census. Count of families in family households. Total Family Income (Weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. Families includes same-sex couple families. Household excludes 'Lone person', 'Group', ‘Visitors only' and 'Other non-classifiable' households. Excludes overseas visitors. 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, family composition, family income, g28, gcp, general community profile, sa2, weekly income
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Mental Health Services - Overnight Admitted Mental Health Separations (PHN) 2015-2016

This dataset presents the footprint of the number and rate of overnight admitted mental health-related separations and bed days, with and without specialised psychiatric care by patient location. Overnight admitted patient separations refers to those separations when a patient undergoes a hospital’s formal admission process, completes an episode of care, is in hospital for more than one day and ‘separates’ from the hospital. The data spans the financial year of 2015-2016 and is aggregated to 2017 Department of Health Primary Health Network (PHN) areas, based on the 2016 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Hospital Morbidity Database (NHMD) which is a compilation of episode-level records from admitted patient morbidity data collections in Australian hospitals. It includes demographic, administrative and length of stay data for each hospital separation. Clinical information such as diagnoses, procedures undergone and external causes of injury and poisoning are also recorded.
Mental health services in Australia (MHSA) provides a picture of the national response of the health and welfare service system to the mental health care needs of Australians. MHSA is updated progressively throughout each year as data becomes available. The data accompanies the Mental Health Services - In Brief 2018 Web Report.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Mental health services in Australia Data Tables.
Please note:


AURIN has spatially enabled the original data using the Department of Health - PHN Areas.


Rates are directly age-standardised.


The analysis of bed days presented in this table excludes those separations with a length of stay greater than 365 days.


Separations with a care type of Newborn (without qualified days), and records for Hospital boarders and Posthumous organ procurement have been excluded.


It is possible for patients to have multiple separations in any given reference period.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA3-G40 Selected Labour Force, Education and Migration Characteristics by Sex-Census 2016

SA3 based data for Selected Labour Force, Education and Migration Characteristics by Sex in General Community Profile (GCP), 2016 Census. Count of persons. Labour force status and non-school qualifications are applicable to persons aged 15 years and over. 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, characteristics, education, g40, gcp, general community profile, labour, migration, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-T03C Age by Registered Marital Status by Sex-Census 1996

LGA based data for Age by Registered Marital Status by Sex, in Time Series Profile, 1996 Census. Count of all persons aged 15 years and over in 1986, 1991 and 1996 census years. T03 is broken up into three sections (T03A-T03C) this section covers ‘Census 1996 - aged 15-19 married male’ - ‘Census 1996 -  total total person’. The data is by LGA 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, census, marital status, marriage, registered marital status, t03c, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-B28 Dwelling Structure by Number of Persons (Usually Resident)-Census 1996

LGA based data for Dwelling Structure by Number of Persons Usually Resident, in Basic Community Profile, 1996 Census. Count of occupied private dwellings. The data is by LGA 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, b28, basic community profile, bcp, census, dwelling, dwelling structure, persons, usually resident
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-W05b Status in Employment by Country of Birth of Person by Sex-Census 2016

SA2 based data for Status in Employment by Country of Birth of Person by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W05 is broken up into 4 sections (W05a - W05d), this section contains 'Males United States of America Owner managers of unincorporated enterprises' - 'Females South Africa 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, birhtplace, census, country of birth, employment, employment status , w05b, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4 Estimating Homelessness 2011

This dataset contains estimates of the prevalence of homelessness on Census night 2011, derived from the Census of Population and Housing using the Australian Bureau of Statistics (ABS) definition of homelessness. Prevalence is an estimate of how many people experienced homelessness at a particular point-in-time. The ABS uses six homeless operational groups to present the estimates of homelessness. Estimates are also presented for selected groups of people who may be marginally housed and whose living arrangements are close to the statistical boundary of homelessness and who may be at risk of homelessness. 
Data is by SA4 2011 boundaries. Periodicity: 5 yearly. 
For more information visit the Australian Bureau of Statistics.

Tags: 2011, aus, australia, enumeration, homelessness, housing, polygon, population, poverty
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - C09 Family Type (CD) 1981

The 1981 Census Collection District Summary File (CDSF) presents summary characteristics of persons and their dwellings for every Collection District (CD) in Australia for 1981. The census information is made up of 34 tables giving data for both persons and dwellings.
This table contains data on family type. Census counts were 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 Census Collection District 1981 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2103.0 &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 1981 geographic boundaries are available from data.gov.au.
For more information please refer to "Making Sense of Census 1981".

Tags: 1981, c09, census, family, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
DSS - Quarterly Payment Recipients (LGA) December 2018

This dataset presents counts of payment recipients by payment type for the quarter ending December 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
PHIDU - Age Distribution - 5 Year Age Groups: Males (PHA) 2019

This dataset, released September 2020, contains male estimated resident population by 5 year age groups: 0-4 years to 85+ years, 2019. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).
Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure.
For more information please see the data source notes on the data. 
Source: Compiled by PHIDU based on ABS 3235.0 Population by Age and Sex, Regions of Australia, 30 June 2019. 
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: Demography, HEALTH SCIENCES, HUMAN SOCIETY, Public health
Organization: Torrens University Australia - Public Health Information Development Unit