AndreaBozzo/ceres-open-data-index huggingface dataset:
PHIDU - Prevalence of Selected Health Risk Factors - Adults (PHN) 2014-2015

This dataset, released May 2017, contains for the years 2014-15 the Estimated number of people aged 18 years and over with high or very high psychological distress based on the Kessler 10 Scale; Estimated number of people aged 18 years and over who had high blood pressure; Overweight, obesity and waist measurement (modelled estimates); Smoking (modelled estimates); Alcohol: lifetime risky drinking (modelled estimates); Fruit consumption (modelled estimates); Exercise (modelled estimates). 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:  Estimates for Population Health Areas (PHAs) are modelled estimates and were produced by the ABS;estimates at the LGA and PHN level were derived from the PHA estimates. 
AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

Tags: HEALTH SCIENCES, Public health
Organization: Torrens University Australia - Public Health Information Development Unit
AEDC - Emotional Maturity (SA3) 2009-2018

This dataset contains information from the 'Emotional maturity' domain of the Australian Early Development Censuses (AEDC) from 2009 - 2018. The data is based on 2016 Statistical Areas Level 3 (SA3) 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.


AEDC results for Daly - Tiwi - West Arnhem (SA3 code 70203) and East Arnhem (SA3 code 70204) are combined in the original data. AURIN has assigned the results for these regions to the boundary of Daly - Tiwi - West Arnhem and excluded the boundary of East Arnhem from this dataset.



Tags: childhood, development, population
Organization: Government of the Commonwealth of Australia - Australian Early Development Census
AIHW - Patient Experiences - Adults who went to any Hospital Emergency Department for their Own Health (%) (PHN) 2013-2017

This dataset presents the footprint of the percentage of adults who went to any hospital emergency department for their own health in the preceding 12 months. The data spans the 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 data is sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables.
Please note:


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


Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.


As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion.


Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population.


Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN.


The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities).


Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings.


NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null.



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
SA1-G56a Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families-Census 2016

SA1 based data for Total Family Income (Weekly) by Labour Force Status of Parent for One Parent Families, in General Community Profile (GCP), 2016 Census. Count of one parent families. 'Employed, worked full-time' is defined as having worked 35 hours or more in all jobs during the week prior to Census Night. Employed, away from work' comprises employed persons who did not work any hours in the week prior to Census Night or who did not state their number of hours worked. G56 is broken up into two sections (G56a-G56b) this section contains 'Negative Nil income Employed Worked Full-time' - 'All incomes not stated Employed Worked Part-time'. 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, children, family, family income, g56a, gcp, general community profile, income, labour force, one parent family, work status
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA1-G26 Family Composition and Country of Birth of Parents by Age of Dependent Children-Census 2016

SA1 based data for Family Composition and Country of Birth of Parents by Age of Dependent Children, in General Community Profile (GCP), 2016 Census. Count of dependent children. Excludes overseas visitors. Includes same-sex couple families. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. 
 Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.
 For more information visit the data source: http://www.abs.gov.au/census.

Tags: 2016, age, birthplace, census, children, composition, country, dependent, family, g26, gcp, general community profile, sa1
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
AIHW - Child and Maternal Health Indicators - Indigenous Mothers who had at least one Antenatal visit in the First Trimester (%) (PHN) 2012-2016

This dataset presents the footprint of the percentage of Aboriginal and Torres Strait Islander women who gave birth and had at least one antenatal visit in the first trimester. The data spans every two years between 2012-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).
The Child and Maternal Health Indicators have been calculated from the Australian Institute of Health and Welfare (AIHW) National Mortality Database and Register of Births and National Perinatal Data Collection. This measure has been calculated with the numerator as the total number of Aboriginal and Torres Strait Islander women who gave birth and had at least one antenatal visit in the first trimester, and the denominator as the total number of mothers with a recorded week of gestation at the first antenatal visit.
For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Child and Maternal Health Data Tables.
Please note:


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


An antenatal visit is a planned visit between a pregnant woman and a midwife or doctor to assess and improve the wellbeing of the mother and baby throughout pregnancy. An antenatal visit does not include a visit where the sole purpose of contact is to confirm the pregnancy, or those contacts that occurred during the pregnancy that related to other non-pregnancy related issues. An antenatal visit in the first trimester is defined as occurring before 14 weeks' gestational age.


Data at the area level exclude births to Australian non-residents and women who could not be allocated because their usual residence was not stated or was not valid


In WA and ACT, first antenatal visits that occur outside of the hospital may not be included, so these data should be interpreted with caution


Percentage for an area are suppressed for publication and marked as 'NP' if the number of mothers with a recorded week of gestation at the first antenatal visit for the area is less than 100



Tags: health, population
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
CER - Small-scale Installations - Solar Water Heater - Heat Pump (POA) 2010

This dataset presents the footprint of the number of installations of solar water heater (SWH) air source heat pump systems. The data spans the months of 2010 and includes a total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of small generation units (SGU) (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and SWH and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Air source heat pumps were introduced into the Small-scale Renewable Energy Scheme in 2005 as such there is no installation data available pre-2005 for this fuel source.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
CER - Small-scale Installations - Small Generation Unit - Solar Panel (POA) 2007

This dataset presents the footprint of the number of installations of small generation unit (SGU) solar panel systems and their rated output in kilowatts (kW). The data spans the months of 2007 and includes the total for the year. The data is aggregated to Postal Areas (POAs) from the 2016 Australian Statistical Geography Standard (ASGS).
Every month the Clean Energy Regulator (CER) publishes small-scale renewable energy installation data files. These data files provide a list of SGU (small-scale solar panel, wind and hydro systems) and kW capacity by installed postcode, and solar water heaters (SWH) and air source heat pumps by installed postcode. The data represents all systems that have had certificates validly created against them. The data includes new installations, upgrades to existing systems and stand-alone (off-grid) systems. This data is not publicly available via the Renewable Energy Certificate (REC) Registry and does not include systems that are pending registration or have been failed by the CER.
For further information about this dataset, visit the data source:Clean Energy Regulator - Postcode Data for Small-scale Installations.
Please note:


AURIN has spatially enabled the original data by joining the data with the 2016 ASGS POAs


The data is current as at 30-09-2018.


Renewable Energy Target (RET) legislation allows a 12 month creation period for registered persons to create their certificates.


Small-scale technology certificates are calculated based on the life of the system. This differs for solar hot water heaters and small generation units (solar panels, wind and hydro). Further information can be found at theRenewable Energy Target FAQ.


Capacity data has been revised to account for past data entry errors which caused significant inconsistencies. These systems were installed between 2001 and 2003. As a result of this revision, the cumulative installed capacity from 2004 onwards has reduced by 5.517MW.



Tags: energy
Organization: Government of the Commonwealth of Australia - Clean Energy Regulator
SA2-P41a Industry of Employment by Age by Sex-Census 2016

SA2 based data for Industry of Employment by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P41 is broken up into four sections (P41a - P41d), this section contains 'Males Agriculture forestry and fishing Age 15-19 years' - 'Males Inadequately described Not stated 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, employment, industry, p41a, pep, place of enumeration profile, sex, work
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
SA2-G43a Labour Force Status by Age by Sex-Census 2016

SA2 based data for Labour Force Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over. Full-time work is classified as having worked 35 hours or more in the week prior to census night and employed, away from work is classified as working 0 hours in the week prior to census night. G43 is broken up into 2 sections (G43a - G43b), this section contains 'Males Employed worked Full time Age 15 19 years' - 'Females Total unemployed 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, gcp, general community profile, labour, labour force
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
NT DIPL - Alice Springs Super Tuesday Bike Counts (Points) 2018

This dataset presents information and locations related to The Super Tuesday Bike Count event in Alice Springs for 2018. The counts are presented as individual points which relate to the location where the counts were undertaken by volunteers.
The Super Tuesday Bike Count collects annual figures of bicycle riders and their movements on roads and bike paths. Since 2007, Bicycle Network has conducted bicycle counts at key intersections and corridors selected by local governments. The data is available for researchers and policymakers to plan and build cycling infrastructure to promote increased cycling activity, and to gather longitudinal insights of cycling volumes and trends.
Super Tuesday count data is collected visually by volunteer counters at intersections along popular commuter routes, as well as subsidiary routes with lower rider volumes. The count is conducted in southern states (VIC, NSW, SA, WA) between 7:00-9:00am on the first Tuesday of March; and in northern states (QLD, NT) between 6:30-8:30am on the first Tuesday of September. Count locations are nominated by traffic engineers, transport planners, and other transport officers from participating councils. Counters record all movement directions, rider gender, and bicycle volume per fifteen-minute increments on standardised count sheets. 
For more information please visit the Norther Territory Government Open Data Portal or view the Bicycle Network Super Tuesday Count Report.
Please note: 

Where there was no data available ("no data", "NA", "#N/A" in the original data) the values have been set to NULL.


Tags: bicycle
Organization: Northern Territory Government - Department of Infrastructure, Planning and Logistics
AIHW - Specialist Homelessness Services Collection - Total Clients (SA3) 2014-2019

This dataset presents the total number of distinct specialist homeless services clients. 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 3 (SA3).
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.

Tags: Health, Homelessness, Housing
Organization: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
LGA11-based B22B Unpaid Child Care by Age by Sex as at 2011-08-11

LGA11 based data for Unpaid Child Care by Age by Sex, for 2011 Census. Count of all persons persons aged 15 years and over on Census night based on place of usual residence. Data sourced from: http://www.abs.gov.au/census. For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Tags: census
Organization: Government of the Commonwealth of Australia - Australian Bureau of Statistics
Geoscience Australia - NEXIS - Commercial Building Exposure (SA1) 2017

This dataset presents information about commercial building exposure in Australia from the 9th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia.
This data is aggregated by the Australian Bureau of Statistics (ABS) Statistical Area 1 (SA1) 2011 boundaries.
For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document.
AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA1 2011 dataset.

Tags: HUMAN SOCIETY, Human geography
Organization: Government of the Commonwealth of Australia - Geoscience Australia
PHIDU - Birthplace - Non-English Speaking Residents (LGA) 2016

This dataset, released in August 2017, contains the Australian residents population by their birthplace divided into English speaking (ES) and non-English speaking (NES) countries, 2016.
 The following countries are designated as ES: Canada, Ireland, New Zealand, South Africa, United Kingdom and the United States of America; the remaining countries are designated as NES. The dataset also includes the population of people born overseas and report poor proficiency in English.
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 the ABS Census of Population and Housing, August 2016.
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