AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Alcohol and Other Drug Treatment Services - Closed Treatment Episodes for Clients who Seek Treatment for Own Drug Use by Principal Drug (Count) (PHN) 2013-2017

This dataset presents the footprint of the number of closed treatment episodes for clients who seek treatment for their own drug use by principal drug of concern. A treatment episode is the period of contact between a client and a treatment provider where there are defined start (commencement) and end (cessation) dates. It is considered closed where any of the following occurs: treatment is completed or has ceased; there has been no contact between the client and treatment provider for 3 months; or there is a change in the main treatment type, principal drug of concern or delivery setting.
The alcohol and other drug treatment services (AODTS) data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial 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 AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report.
For further information about this dataset, please visit: 


Australian Institute of Health and Welfare - AODTS Data Tables.


Alcohol and other drug treatment services NMDS 2016-17 Quality Statement.


Please note:


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


The PHN of the closed treatment episode was assigned based on the reported postcode of the client using the Australian Bureau of Statistics' (ABS) Postal Area 2013 to Primary Health Network 2015 concordance file. Clients with an invalid postcode were assigned to the PHN group 'PHN Unallocated' and removed from the analysis.


Treatment episodes are excluded from the AODTS NMDS if they: are not closed in the relevant financial year; are for clients who are receiving pharmacotherapy and not receiving any other form of treatment that falls within the scope of the collection; include only activities relating to needle and syringe exchange; or are for a client aged under 10 years.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
VIC DET - VCAMS Indicators - 2.1: Proportion of Infants Breastfed (LGA) 2007-2015

This dataset presents indicator 2.1: Proportion of infants fully breastfed at 3 and 6 months of age. The data covers the financial years of 2007/08-2014/15 and is aggregated by Local Government Areas (LGA) from the 2011 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 the Maternal and Child Health (MCH).
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
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons Incidence (SA4) 2006-2010

This dataset presents the footprint of cancer incidence statistics in Australia for all cancers combined and the 6 top cancer groupings (colorectal, leukaemia, lung, lymphoma, melanoma of the skin and pancreas) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS).
Incidence data refer to the number of new cases of cancer diagnosed in a given time period. It does not refer to the number of people newly diagnosed (because one person can be diagnosed with more than one cancer in a year). Cancer incidence data come from the Australian Institute of Health and Welfare (AIHW) 2012 Australian Cancer Database (ACD).
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.


Australian Cancer Database 2012 Data Quality Statement.


Please note:


AURIN has spatially enabled the original data.


Due to changes in geographic classifications over time, long-term trends are not available.


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


The Australian and jurisdictional totals include people who could not be assigned a SA4. The number of people who could not be assigned a SA4 is less than 1% of the total.


The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).


The ACD records all primary cancers except for basal and squamous cell carcinomas of the skin (BCCs and SCCs). These cancers are not notifiable diseases and are not collected by the state and territory cancer registries.


The diseases coded to ICD-10 codes D45-D46, D47.1 and D47.3-D47.5, which cover most of the myelodysplastic and myeloproliferative cancers, were not considered cancer at the time the ICD-10 was first published and were not routinely registered by all Australian cancer registries. The ACD contains all cases of these cancers which were diagnosed from 1982 onwards and which have been registered but the collection is not considered complete until 2003 onwards.


Note that the incidence data presented are for 2006-2010 because 2011 and 2012 data for NSW and ACT were not able to be provided for the 2012 ACD.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
DSS - Quarterly Payment Recipients (LGA) September 2015

This dataset presents counts of payment recipients by payment type for the quarter ending September 2015. 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 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.


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;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
SA1-G38 Dwelling Structure by Number of Bedrooms-Census 2016

SA1 based data for Dwelling Structure by Number of Bedrooms, in General Community Profile (GCP), 2016 Census. Count of occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. 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, bedrooms, census, dwelling structure, g38, gcp, general community profile, number of bedrooms, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Financial Stress (PHN) 2014

This dataset, released April 2017, contains an Estimated number of people aged 18 years and over whose household could raise $2,000 within a week (modelled estimates), 2014; Estimated number of people aged 18 years and over who had government support as their main source of income in the last 2 years (modelled estimates), 2014; Estimated number of people aged 18 years and over who had government support as their main source of income, for 13 months or more, within the past 24 months (modelled estimates), 2014. 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: Modelled by PHIDU based on the ABS General Social Survey, 2014.
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: ECONOMICS, HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
PHIDU - Access to Services (PHA) 2014

This dataset, released July 2018, contains Estimated number of people aged 18 years and over who often have a difficulty or cannot get to places neededwith transport, including housebound (modelled estimates), 2014; Estimated number of people aged 18 years and over who experienced a barrier to accessing healthcare whenneeded it in the last 12 months, with main reason being cost of service (modelled estimates), 2014. 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: Modelled by PHIDU based on the ABS General Social Survey, 2014.
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 Population & People - National Regional Profile 2010-2014

This dataset contains National Regional Profile (NRP) data on Population and People at SA2 level for 2010-2014. The data uses 2011 ABS ASGS boundaries. 
The NRP is designed for users interested in the socio-economic and environmental characteristics of regions - and in comparisons with similar geographies across Australia. Data are arranged under the broad themes/topics of Economy, Industry, People, and Energy and Environment. 
Please note some data are not available for all reference years, for a variety of reasons. For example; there may be conceptual breaks in a data series; the collection frequency may be irregular; some series may have revisions pending; or permission to publish in the NRP may have only been granted recently. In addition, some data series are not available for the full range of geographies. The reasons can include: data owner or custodian preferences; industry identification with a few, particular geographies only; confidentiality protection; and the presence of many suppressed data cells (at smaller geographic levels) thus making true aggregations up to larger ASGS regions difficult. 
This data is ABS data used with permission from the Australian Bureau of Statistics. Please note National Regional Profile (1379.0.55.001) has been discontinued. For the most recent regional data, please see Data By Region (1410.0). 
For more information please visit the  Australian Bureau of Statistics.

Tags: 2010-2014, abs aggregation, age, aus, australia, demographic, education, family, national regional profile, nrp, people, population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Future Residential Growth Area Land 18/01/2014 for NSW

Future Residential Growth Area Land has been identified in planning instruments or Government-endorsed planning strategies. It is proposed that coal seam gas activities will be prohibited in and within two kilometres of these areas. The Future Residential growth Area data relates directly to and adopts the accuracy of its reference dataset, Land and Property Information DCDB.

Tags: NSW, New South Wales, future, growth, planning, residential
Organization: Government of New South Wales - Department of Planning and Environment
SA3-I15d Non-School Qualification: Level of Education by Indigenous Status by Age by Sex-Census 2016

SA3 based data for Non-School Qualification: Level of Education by Indigenous Status by Age by Sex, in Aboriginal and Torres Strait Islander People Profile (ATSIP), 2016 Census. Count of persons aged 15 years and over with a qualification. Excludes schooling up to Year 12. Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). I15 is broken up into 4 sections (I15a – I15d), this section contains 'Persons Non-Indigenous 35-44 years Postgraduate Degree Graduate Diploma and Graduate Certificate Level' - 'Persons Total 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: age, education, non-school, qualification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-W15c Occupation by Total Personal Income (weekly) by Public/Private Employer Indicator-Census 2016

SA4 based data for Occupation by Total Personal Income (Weekly) by Public/Private Sector Employer, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W15 is broken up into 5 sections (W15a - W15e), this section contains 'Local government $1000-$1249 Managers' - 'Private sector $1750-$1999 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, census, employer indicator, income, occupation, personal income, sector, w15c, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 20.1: Rate of Substantiated Child Abuse (LGA) 2009-2011

This dataset presents indicator 20.1: Rate of substantiated child abuse per 1,000 children aged 0-17 years. The data covers the financial years of 2009/10-2010/11 and is aggregated by Local Government Areas (LGA) from the 2011 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 the Client Relationship Information System (CRIS).
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
SA4-G24 Number of Children Ever Born by Age of Parent-Census 2016

SA4 based data for Number of Children Ever Born, in General Community Profile (GCP), 2016 Census. Count of females aged 15 years and over, categorised by the number of children they have given birth to. 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, birth, census, children, g24, gcp, general community profile, number of children, sa4
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
VIC DET - VCAMS Indicators - 13.2: Rate of Crimes where the Offender was a Youth (LGA) 2012-2015

This dataset presents indicator 13.2: Rate of crimes where the offender was a child or young person. The data covers the financial years of 2012/13-2014/15 and is aggregated by Local Government Areas (LGA) from the 2011 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 the Law Enforcement Assistance Program.
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
AIHW - Maternity Indicators - Third and Fourth Degree Tears for All Vaginal Births (%) (SA3) 2014-2016

This dataset presents the footprint of the percentage of women who have a third or fourth-degree perineal laceration after giving birth vaginally for all births, by the mother's usual residence. This has been calculated with the number of females who had a third or fourth-degree perineal laceration after giving birth vaginally, divided by the number of females who gave birth vaginally, and multiplied by 100. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.
For further information about this dataset, please visit:


Australian Institute of Health and Welfare - National Core Maternity Indicators Data Tables.


Metadata Online Registry Entry.


Please note:


AURIN has spatially enabled the original data.


A birth is defined as an event in which a baby comes out of the uterus after a pregnancy of at least 20 weeks gestation or weighing 400 grams or more.


Births included are vaginal births, including non-instrumental and instrumental births.


Births excluded are caesarean sections.


Third-degree laceration is defined as perineal laceration, rupture or tear as in second-degree laceration occurring during delivery, also involving: anal sphincter, rectrovaginal septum, and sphincter not otherwise specified. Excludes laceration involving the anal or rectal mucosa. A fourth-degree laceration is defined as perineal laceration, rupture or tear as in third-degree laceration occurring during delivery, also involving: anal mucosa and rectal mucosa.


For multiple births, the perineal status after the birth of the first-born baby was used.


Data for SA3 of mother's usual residence reported using a 3-year aggregate, 2014-2016.


The sum of the reported 'Grouped by' values may not equal the Australia total.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare