AndreaBozzo/ceres-open-data-index huggingface dataset:
AIHW - Specialist Homelessness Services Collection - Clients by Age and Sex (SA4) 2014-2019

This dataset presents the number of distinct specialist homeless services clients by client type, sex and age group. The client counts are based on the location where the client resided in the week before their first support period in the financial year. Each client contributes only once, even if they had multiple support periods during the financial year. The data spans the financial years of 2014-15 to 2018-19 and is aggregated to 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 4 (SA4).
The Specialist Homelessness Services Collection (SHSC) data accompanies the Specialist Homelessness Services Annual Report 2018-19.
For further information about this dataset, visit the Australian Institute of Health and Welfare - SHSC Data Cubes User Guide.
Notes:


Caution should be used when comparing data for 2017-18 onwards with data for 2014-15 to 2016-17 in sub-state data cubes. Data for 2011-12 to 2016-17 at the state, territory and national levels are weighted to account for agency non-response and invalid statistical linkage keys (SLK), and have been rounded to the nearest integer. Due to improvements in agency response and rates of SLK validity, data from 2017–18 are no longer weighted. The removal of weighting does not constitute a break in time series, and these data are directly comparable with weighted counts for earlier years. As the weighting method is not suitable for sub-state units, the data in the sub-state cubes are not weighted.


Clients are considered to be homeless if they are living in any of the following circumstances: No shelter or improvised dwelling, Short-term temporary accommodation, House, townhouse or flat (couch surfing or with no tenure).


Clients are considered to be at risk of homelessness if they are living in any of the following circumstances: Public or community housing (renter or rent free), Private or other housing (renter, rent-free or owner), Institutional settings.


AURIN has spatially enabled the original data and has set suppressed values (".") as Null.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
DSS - Quarterly Payment Recipients (SA2) March 2017

This dataset presents counts of payment recipients by payment type for the quarter ending March 2017. 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 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
Geoscape - Hobart Roads (Polyline) June 2022

This dataset is the June 2022 release of Geoscape Roads for a single SA2 area (Hobart) with SA2 code (61027).
Roads is a digital representation of roads for Australia. This dataset provides an optimised aggregated national view of road geometry and attribution. The dataset is created from multiple sources including jurisdictional data which is revised regularly and supplied in varying formats and at different levels of quality.
For more information regarding Geoscape Roads, please refer to the Data Product Description and the June 2022 Release Notes.
Please note: As per the licence for this data, the coverage area is limited to a single Level 2 Statistical Area (SA2) mentioned above as defined by the Australian Bureau of Statistics. If you require additional data beyond a single SA2 for your research, please request a quote from AURIN.
The purpose of Roads is to provide a single national digital representation of Australian roads with detailed attribution to enable clients to undertake activities including visualisation, analysis and logistics planning at both a national and local scale. This dataset has been restricted to the Hobart SA2 by AURIN.

Tags: BUILT ENVIRONMENT AND DESIGN, Building
Organization: Geoscape
AusPollen - Weekly Pollen Count - Rocklea, Brisbane, Queensland (Point) July 2016 - June 2020

The data set contains airborne pollen concentrations (grains per cubic meter) from samples taken at Rocklea, Queensland, Australia (-27.5351,152.9933) between October 2016 and June 2020. Each data row has two concentrations: one for grass (Poaceae) and one for all other pollens. For comparison with other data sets and between pollen seasons the data weeks start at July 1 each calendar year. Extra days at the end of the pollen year are included in week 52. Each data row has a collection period start date, the number of days within the collection period (7-9), and the number of days on which pollen was collected and summed (0-9). Concentrations represent only the number of days collected and not always the full collection period, as indicated. 
Airborne pollen samples were collected using a volumetric continuous flow impaction sampler (Burkard Manufacturing, UK), stained with fuchsin and counted by light microscopy according to best practice described in the Australian Airborne Pollen and Spore Monitoring Network Interim Standard and Protocols (Version 2, 14 September 2018).
Data may be used for modelling and forecasting airborne grass, other, total pollen levels. Other uses include analysis of the effect of pollen levels on asthma and allergy presentations, or in inference of grass and other vegetation growth patterns. Data may also be used for evaluation of medium or long-term trends over time or comparison withpollen exposure levels between spatial distant locations.
Metadata about this and other AusPollen Aerobiology Collaboration Network monitoring sites is provided on the National Environmental Monitoring Site Register. Information about other pollen and spores monitored can be found by the AusPollen Aerobiology Collaboration Network Species Classification on the ARDC Research Vocabularies site.
AURIN has added latitude, longitude and spatialised geometry columns for each row based on the coordinates of the pollen samples. Periods over which no data is available are marked as null.

Tags: Allergy, Atmospheric sciences, BIOLOGICAL SCIENCES, BIOMEDICAL AND CLINICAL SCIENCES, Climate change impacts, EARTH SCIENCES, ENVIRONMENTAL SCIENCES, Ecology, Environmental management, Human impacts of climate change, Immunology, Plant biology, adaptation, human adaptation
Organization: National Health and Medical Research AusPollen Partnership Project
SA3-G24 Number of Children Ever Born by Age of Parent-Census 2016

SA3 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 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, birth, census, children, g24, gcp, general community profile, number of children, sa3
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
ABS Census - B19 Labour Force Status (Part-Time/Full-Time) By Type Of Educational Institution Attending (Full-Time/Part-Time) (LGA) 1991

The 1991 Census Basic Community profiles present 57 tables containing summary characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. 
This table contains data relating to labour force status (part-time/full-time) by type of educational institution attending (full-time/part-time). Counts are of Persons aged 15 years or more excluding persons attending primary school, 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 LGA 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:


(b) Comprises persons who were attending a tertiary or other institution, but did not state whether they were full-time or part-time students.


(c) Comprises persons who might have been attending an educational institution, but did not state what type.


(d) Full-time is defined as having worked 35 hours or more in the main job held last week.


(e) Comprises employed persons who did not state their hours worked.


(f) Comprises persons who did not state their labour force status.



Tags: 1991, b19, basic community profile, bcp, census, education, place of enumeration, study, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA4-G13d Language Spoken at Home by Proficiency in Spoken Eng by Sex-Census 2016

SA4 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 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, g13d, gcp, general community profile, language, language spoken at home, sa4
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-QLD Early Childhood Education/Care Enrolments by Age 2014

SA2 based data for the number of Early Childhood Education/Care Enrolments by Age in Queensland, 2014. The information is based on the Early Childhood Education and Care Service Census collected by the Queensland Government Department of Education and Training. Early Childhood Education and Care (ECEC) services are provided to children aged 0 to 12 in the forms of:


long day care


kindergarten


limited hours care/occasional care


pre-prep


eKindy


outside school hours care


family day care


vacation care access
The department also provides special education programs to a small number of children with disabilities around the state. 
This data is by SA2 2011 boundaries.
For more information visit the Queensland Government Department of Education and Training.



Tags: 2014, care, early childhood, education, enrolments, qld, queensland, sa2, service
Organization: Government of Queensland - Department of Education and Training
SA3-based B36 Dwelling Structure by Number of Bedrooms as at 2011-08-11

SA3 based data for Dwelling Structure By Number Of Bedrooms, for 2011 Census. Count of occupied private dwellings on Census night based on place of usual residence. Excludes 'Visitors only' and 'Other non-classifiable' households. 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
ABS Census - U18 Qualification (Highest) Field By Qualification (Highest) Level By Sex (SLA) 1991

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Statistical Local Areas (SLA) in Australia. 
This table contains data relating to qualification (highest) field by qualification (highest) level by sex. Counts are of persons aged 15 years or more with a qualification, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by SLA 1991 boundaries. Periodicity: 5-Yearly. 
This data is ABS data (cat. no. 2101.0 &amp; original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.

Tags: 1991, census, field, lga, population, qualification, residence, u18, urp, usual
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AEDC - Vulnerable on Two or More Domains (SA2 Modified) 2009-2018

This dataset contains information about children that are vulnerable on two or more domains of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on modified 2016 Statistical Areas Level 2 (SA2) boundaries.
The AEDC is a population-based measure of children's development as they enter their first year of full-time school, and takes place nationally every three years. It looks at five domains of early childhood development: physical health and wellbeing (plus three health sub-domains), social competence, emotional maturity, language and cognitive skills, and communication skills and general knowledge.
For more information visit the AEDC website.
Please note suppression of AEDC data occurs when one or more of the following have been met:


Three or fewer children had been assessed


Fewer than fifteen children had valid AEDC scores


Less than two teachers had completed AEDC instruments for children in that location


AEDC instruments were completed for less than 80% of all non special needs children
Additional minor suppression's have occurred where necessary to preserve confidentiality of related suppressed cells.


Please Note:


AURIN has spatially enabled the original data.


Some AEDC results were captured across two SA2 regions, AURIN has created a custom geometry combining the relevant SA2 boundaries for these results.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Females Mortality (GCCSA) 2009-2013

This dataset presents the footprint of female cancer mortality statistics in Australia for all cancers combined and the 11 top cancer groupings (breast, cervical, colorectal, leukaemia, lung, lymphoma, melanoma of the skin, ovary, pancreas, thyroid and uterus) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to Greater Capital City Statistical Areas (GCCSA) from the 2011 Australian Statistical Geography Standard (ASGS).
Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD).
For further information about this dataset, please visit:


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


Australian Institute of Health and Welfare - 2013 National Mortality Database.


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 GCCSA. The number of people who could not be assigned a GCCSA 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).


Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the NMD.


Year refers to year of occurrence of death for years up to and including 2012, and year of registration of death for 2013. Deaths registered in 2011 and earlier are based on the final version of cause of death data; deaths registered in 2012 and 2013 are based on revised and preliminary versions, respectively and are subject to further revision by the ABS.


Cause of death information are based on underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).


Colorectal deaths presented are underestimates. For further information, refer to "Complexities in the measurement of bowel cancer in Australia" in Causes of Death, Australia (ABS cat. no. 3303.0).



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
GU URP - Vulnerability Indices for Mortgage Petroleum and Inflation Risks and Expenditure (VAMPIRE) (CCD) 2001

This dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2001. The data has been calculated for each Census Collection District (CCD) within the Greater Capital City regions following the 2001 Australian Standard Geographical Classification (ASGC).
The VAMPIRE index developed at Griffith University's Urban Research Program provides a measure of socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the Australian Bureau of Statistics (ABS) Census Data.

Organization: Griffith University - Urban Research Program
ABS Census - U08 Aboriginals & Torres Strait Islanders (LGA) 1986

Local Government Area (LGA) based data for Aboriginals and Torres Strait Islanders, from the Australian Bureau of Statistics (ABS) 1986 Census of Population and Housing. Census counts were based on place of usual residence which excludes overseas visitors, Australians overseas, and adjustments for under-enumeration. The data is by LGA 1986 boundaries. Periodicity: 5-Yearly.
This data is used with permission from the ABS. The tabular data was supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries (cat. no. 1261.0.30.001) are available from Data.gov.au.
For more information please refer to the 1986 Census Dictionary (cat. no. 2102.0).

Tags: population
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA3-P11a Proficiency in Spoken Eng by Year of Arrival by Sex-Census 2016

SA3 based data for Proficiency in Spoken English by Year of Arrival in Australia by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons born overseas in the following categories of proficiency: Speaks English only, Multilingual speaks English well, Multilingual speaks English not well/at all, Multilingual English proficiency not stated, Total multilingual people, Language and English proficiency not stated, and Total persons.  Excludes persons born in 'Australia, (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec' and persons who did not state a country of birth. Where year of arrival is stated as 2016, it refers to the period from 1 January 2016 to 9 August 2016. P11 is broken up into 2 sections (P11a – P11b), this section contains 'Males Speaks English only Year of arrival Before 2000’ - ' Persons Speaks other language and speaks English Total Year of arrival 2000 2005’. 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 year, census, english proficiency, p11a, pep, place of enumeration profile, sex, spoken english
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G49a Non-School Qualification-Level of Education by Occupation by Sex-Census 2016

SA1 based data for Non-School Qualification: Level of Education by Occupation by Sex, in General Community Profile (GCP), 2016 Census. Count of employed 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). G49 is broken up into three sections (G49a-G49c) this section contains 'Males Postgraduate Degree Level Postgraduate Degree Level nfd Occupation Managers' - 'Females Graduate Diploma and Graduate Certificate Level Graduate Diploma and Graduate Certificate Level nfd Total'. 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, education, g49a, gcp, general community profile, non-school, occupation, qulaification, sex
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics