AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Mothers and Babies - Low Birthweight Live Births (SA3) 2016

This dataset presents the footprint of the number and per cent of low birthweight live births, by the mother's usual place of residence. The data spans the year of 2016 and is aggregated to Statistical Area Level 3 (SA3) from the 2011 Australian Statistical Geography Standard (ASGS).
The data is sourced from the Australian Institute of Health and Welfare (AIHW) National Perinatal Data Collection (NPDC). The NPDC began in 1991 and is a collaborative effort by the AIHW and state and territory health departments. Perinatal data are collected for each birth in each state and territory, usually by midwives and other birth attendants. The data are collated by the relevant state or territory health department and a standard de-identified extract is provided to the AIHW on an annual basis to form the NPDC. The NPDC covers both live births and stillbirths, where gestational age is at least 20 weeks or birth weight is at least 400 grams, except in Victoria and Western Australia, where births are included if gestational age is at least 20 weeks or, if gestation is unknown, birthweight is at least 400 grams.
The Mothers and Babies data accompanies the Australia's Mothers and Babies 2016 - In Brief Report.
For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Australia's Mothers and Babies 2016 Data Tables.
Please note:


AURIN has spatially enabled the original data.


SA3 is derived from Statistical Area Level 2 (SA2) of the ABS Australian Statistical Geography Standard Edition 2011. Numbers may not sum to totals due to rounding error.


Excludes mothers not usually resident in Australia or whose SA2 of usual residence was 'Not stated'.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
ABS - Socio-Economic Indexes for Areas (SEIFA) - The Index of Economic Resources (LGA) 2006

This data is Local Government Areas (LGA) based Socio-Economic Indexes for Areas (SEIFA) Index of Economic Resources (IER) - This index includes variables that are associated with economic resources. Variables include rent paid, income by family type, mortgage payments, and rental properties, based on the 2006 census. The data follows the 2006 Australian Standard Geographical Classification (ASGC) boundaries.
The Australian Bureau of Statistics (ABS) has developed indexes to allow ranking of regions/areas, providing a method of determining the level of social and economic wellbeing in that region. There are four indexes included in the SEIFA 2006 product. They relate to socio-economic aspects of geographic areas. Each index summarises a different aspect of the socio-economic conditions in an area. The indexes have been obtained by a technique called principal components analysis. This technique summarises the information from a variety of social and economic variables, calculating weights that will give the best summary for the underlying variables. For the SEIFA indexes, each index uses a different set of underlying variables.
All the indexes (including the Index of Relative Socio-Economic Disadvantage) have been constructed so that relatively disadvantaged areas (e.g. areas with many low income earners) have low index values.
This data is ABS data (catalogue number: 2033.0.55.001) used with permission from the Australian Bureau of Statistics. 
For more information on this data please visit the Australian Bureau of Statistics.Please note: 

AURIN has spatially enabled the original data following the 2006 ASGC.


Tags: seifa
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
PHIDU - Income Support Recipients (LGA) 2017-2020

This dataset, released February 2021, contains statistics relating to the income support recipients of Age pensioners, June 2020; Disability support pensioners, June 2020; Female sole parent pensioners, June 2020; People receiving an unemployment benefit, June 2020; JobSeeker unemployment beneficiaries, June 2020; Young people aged 16 to 21 receiving an unemployment benefit, June 2020; People receiving an unemployment benefit short-term and long-term, June 2017; Low income, welfare-dependent families (with children), June 2017; Children in low income, welfare-dependent families, June 2017; Health Care Card holders, June 2020; Pensioner Concession Card holders, June 2020; Seniors Health Card holders, June 2020; 
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 from the Department of Social Services Payment Demographic Data, June 2020; Compiled by PHIDU based on data from the Department of Social Services, June 2017; and the ABS Estimated Resident Population, 30 June 2017; 
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-P39c Non-School Qualification: Field of Study by Age by Sex-Census 2016

SA2 based data for Non-School Qualification: Field of Study by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over with a qualification (excludes overseas visitors). Excludes persons with a qualification out of the scope of the Australian Standard Classification of Education (ASCED). P39 is broken up into three sections (P39a - P39c), this section contains 'Persons Total Age 55-64 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, education, field of study, non-school, p39c, pep, place of enumeration profile, qualification, sex, study
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-W08d Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English-Census 2016

SA3 based data for Industry of Employment by Year of Arrival in Australia by Proficiency in Spoken English, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over born overseas. Excludes persons who did not state their country of birth. The year 2016 is the period 1 January 2016 to 9 August 2016. W08 is broken up into 5 sections (W08a - W08e), this section contains 'Not stated Electricity gas water and waste services Year of arrival in Australia 2016' - 'Total Construction Year of arrival in Australia Not stated'. 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, arrival in australia, census, employment, english proficiency, industry, industry of employment, language, migration, overseas, w08d, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B32 Family Type By Number Of Dependent Offspring (Usually Resident) By Annual Parental Income (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 family type by number of dependent offspring (usually resident (a)) by annual parental income. Counts are of families with offspring, based on place of enumeration on census night which excludes adjustment for under-enumeration however in determining family and household type visitors to dwellings are excluded and usual residents who are temporarily absent are included. 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.
Please note:


(a) A maximum of 3 temporarily absent dependent offspring can be counted in each household.


(b) Comprises two parent families where a parent present did not state their income or a parent was temporarily absent.


(c) Comprises cases where in a two parent family, both parents did not state their income or were temporarily absent; origin a one parent family, the parent did not state their income or was temporarily absent.



Tags: 1991, b32, basic community profile, bcp, census, children, family type, parental earnings, place of enumeration
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
GCCSA-G13c Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

GCCSA based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Females Speaks Korean Not stated' - 'Persons Speaks German Total'. 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, english proficiency, g13c, gccsa, gcp, general community profile, language, language spoken at home, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Business Establishments by CLUE Industries (Block) 2007

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 CLUE industry (from ANZSIC) and small area allocation. The data is aggregated to the 2016 Blocks for CLUE Boundaries and covers the year period of 2007.
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: 2007, business, census, clue, establishment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
GCCSA-W16d Occupation by Total Personal Income (weekly) by Age-Census 2016

GCCSA based data for Occupation by Total Personal Income (Weekly) by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W16 is broken up into 8 sections (W16a - W16h), this section contains 'Clerical and administrative workers $150-$299 Age 65-74 years' - 'Sales workers $1000-$1249 Age 75 years and over'. 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, income, occupation, personal income, w16d, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-based B19 Voluntary Work for an Organisation or Group by Age by Sex as at 2011-08-11

SA3 based data for Voluntary Work For An Organisation Or Group Age by Sex, 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
LGA-T10A Religion by Sex-Census 1996

LGA based data for Religion by Sex, in Time Series Profile, 1996 Census. Count of all persons in 1986, 1991 and 1996 census years. T10 is broken up into two sections (T10A-T10B) this section covers ‘Census 1986 -  anglican male’ - ‘Census 1996 -  islam persons’. 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, beliefs, census, religion, t10a, time series profile, tsp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G09e 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 'Females Mauritius Age 0-4 years' - 'Females United States of America 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, g09e, gcp, general community profile, sa2, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-P42b Industry of Employment by Occupation-Census 2016

SA2 based data for Industry of Employment by Occupation, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P42 is broken up into two sections (P42a - P42b), this section contains 'Total Occupation Managers' - '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, census, employment, industry, occupation, p42b, pep, place of enumeration profile, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-T15 Industry of Employment by Sex-Census 1996

LGA based data for Industry of Employment by Sex, in Time Series Profile, 1996 Census. Count of employed persons in 1986, 1991 and 1996 census years. 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, employment, industry, t15, time series profile, tsp, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
LGA-W06b Status in Employment by Total Personal Income (weekly) by Sex-Census 2016

LGA based data for Status of Employment by Total Personal income (Weekly) by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W06 is broken up into 2 sections (W06a - W06b), this section contains 'Persons $1-$149 Owner managers of unincorporated enterprises' - 'Persons Total 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, income, personal income, w06b, weekly income, work, working population profile, wpp
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
City of Melbourne CLUE Employment by ANZSIC Industries (Block) 2010

This dataset was collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data shows the employment (number of jobs) 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 2010.
This dataset has been confidentialised to protect the commercially sensitive information of individual businesses.
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.


Suppressed values ("-" in the original data) have been set to NULL on the table. The total columns refer to the true total and include these suppressed values.



Tags: 2010, census, clue, employment, industry, land, melbourne, use
Organization: Local Government of Victoria - City of Melbourne
SA4-P07 Indigenous Status by Age by Sex-Census 2016

SA4 based data for Indigenous Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons in the following categories: identified themselves as Aboriginal and/or Torres Strait Islanders, identified themselves as non-indigenous, did not state their indigenous status. Excludes overseas visitors. 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, indigenous status, p07, pep, place of enumeration profile, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-G13d Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA3 based data for Language Spoken at Home by Proficiency in Spoken English by Sex, in General Community Profile (GCP), 2016 Census. Count of persons. The list of languages consists of the most common Language Spoken at Home responses reported in the 2011 Census. G13 is broken up into 4 sections (G13a - G13d), this section contains 'Persons Speaks Greek And speaks English Very well or well' - '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, g13d, gcp, general community profile, language, language spoken at home, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SNAMUTS - Indicators by Areas (SA1) 2021

This dataset presents the footprint of Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) indicators by area. The data spans the year of 2021 and is aggregated to Statistical Area Level 1 (SA1) geographic areas from the 2021 Australian Statistical Geography Standard (ASGS).
SNAMUTS Australia is a multiple indicator tool to assess public transport network performance and land use-transport integration in Australia's five largest metropolitan areas (Adelaide, Brisbane, Melbourne, Perth, Sydney), at SA1 level and for specified activity nodes in the census years 2011, 2016 and 2021. SNAMUTS is a decision-making support tool designed to inform strategies for public transport infrastructure and service improvements, land use intensification and overall metropolitan strategic planning. It also allows for timeline and city-to-city comparisons on public transport performance and accessibility indicators between about 30 cities on four continents.
SNAMUTS has been developed and refined with funding from the Australian Research Council (DP110104884), the European Science Foundation (COST TU1002), the Cities of Melbourne, Manningham and Perth, internal support through RMIT University, Curtin University and University of Melbourne, the Sustainable Built Environment National Research Centre (SBENRC), AURIN and in-kind support by the University of Porto, Goudappel Coffeng, University of Amsterdam, University of Gothenburg, Norwegian University of Life Sciences, Western Norway University of Applied Sciences, Concordia University and University of Westminster.
These are known as the eight key SNAMUTS indicators, they include:
- Transfer intensity (degree centrality)
- Ease of movement (closeness centrality),
- Geographical reach of public transport journeys (30-minute contour catchment)
- Spatial concentration of public transport journey paths (betweenness centrality and transfer propensity)
- Flexibility of movement (nodal connectivity)
- Future-proofness of the network (nodal resilience)
- A composite index for overall public transport accessibility.
It is based on public transport network and timetable information available publicly through transport agencies (Adelaide Metro, Translink, PTV, Transperth, TfNSW) and ABS census data (usual residential population and journey-to-work destinations) for the three years (2011, 2016, 2021). This data can be viewed in conjunction with the corresponding routes dataset: "SNAMUTS - Route Segment (Polyline) 2021".
For more information, please refer to the SNAMUTS website. A full list of SNAMUTS publications can be found at http://www.snamuts.com/publications.html.

Tags: indicator, transport
Organization: Spatial Network Analysis For Multi-Modal Urban Transport Systems