A line list of Queensland's COVID-19 cases by date of individual's notification of COVID-19 detection, location of usual residence (Postcode, Local Government Area and SA2) as well as the individual's source of COVID-19 infection.

Please note that location variables are masked as null in instances when a case does not usually reside in Queensland. Furthermore, SA2 has not been generated on pathology tests prior to the June 2021 update of the Queensland's Notifiable Conditions System.

As at March 2023, the dataset incorporated the Queensland Public RAT Portal. Although this data has not been appropriately validated by Queensland pathology laboratories, the results were re-evaluated from within the Notifiable Conditions System (NoCS) and hence, any duplicates or other multiple entries for the same re-infection period have been appropriately integrated.

The data presented in the Data Explorer tab below is a representative sample of the complete data set. To view the complete data set, select the Download(CSV) icon or the Data API icon above.

As of November 25, 2022 the number of COVID-19 cases in the Australian state of Victoria was at 40,482 people per 100,000 of the population. Since mid-2021, uncontained outbreaks in NSW and Victoria caused the government to move away from its former 'Covid zero' approach.

The economic impact of lockdown measures

In March of 2020, one survey showed that over 70 percent of Australians expected the economic outlook in Australia to get worse in the next three months. For most industries this prediction was correct, with the worst hit industries being hospitality, tourism, and gyms and fitness. However, some businesses flourished under the shift in pandemic consumer behavior with food delivery services, homewares and online gambling showing significant increases in consumption.

This point dataset shows the position and names of Recreational Areas within the State of Queensland. This dataset has been derived from the Queensland Recreation Areas (Polygon) 2016 dataset by calculating each polygon's centroid. Recreational areas include: - civic Squares, gardens, golf gourses, miscellaneous areas (e.g. basketball courts, bowling clubs, caravan parks, netball courts, tennis courts, velodromes , ovals, parks, race courses, racetracks, rifle Ranges, showgrounds, zoos). This purpose of this dataset is to provide the position and names of Recreational Areas for use in Land Administration,Topographic Mapping and in the production of Navigational and Web Based Mapping applications. Additional Information: This data has been compiled from numerous sources to produce a state wide coverage with the boundaries aligned in most cases with the Queensland Digital Cadastral Database (DCDB)or captured from the best available imagery with an attribute within the data describing the source and reliability. Source data include: Queensland digital cadastral database, Queensland regional mapping, Queensland orthophotography, satellite imagery, Geoscience Australia, community and government websites. The horizontal positional accuracy of the data that has been used to compile this dataset is as follows: Orthophotography +/- 1m, Satellite Imagery +/- 2.5m. The horizontal positional accuracy of DCDB is dependent on the accuracy of the DCDB at the time of extraction.Initially for whole of state data capture, the location of the features was sourced from existing government topographic maps, regional maps and photogrammetric data. The features were validated against current orthophotography and satellite imagery and modified where necessary. The location and names of parks were extracted from the Queensland Digital Cadastral Database (DCDB). The data had been loaded into the DCDB from a "Park and Canal Name Attribute Project" commenced in September 1999 for data acquisition for PSMA. For golf courses, the address of the feature was sourced from the Queensland Golf Union Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. For rifle ranges, the address of the feature was sourced from the Queensland Rifle Association Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. For racecourses, the address of the feature was sourced from the Queensland Racing Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. Features for ongoing data capture are sourced from government and community websites and National Park maps and their location is digitized from current orthophotography and satellite imagery. Additional data is supplied by Geoscience Australia as part of their 25K large scale data capture and commitment to the National Topographic Information Coordination Initiative (NTICI). In most cases these features have been identified through fieldwork by Geoscience Australia staff.

Overview:

Information on location and characteristics of crashes in Queensland for all reported Road Traffic Crashes occurred from 1 January 2001 to 30 November 2023. Fatal crashes to 30 November 2023. Non-fatal, hospitalisation, medical treatment and minor injury crashes to 30 June 2023 and property damage only crashes to 31 December 2010.

_Fatal, Hospitalisation, Medical treatment and Minor injury: _

This dataset contains information on crashes reported to the police which resulted from the movement of at least 1 road vehicle on a road or road related area. Crashes listed in this resource have occurred on a public road and meet one of the following criteria:

• a person is killed or injured, or
• at least 1 vehicle was towed away, or
• the value of the property damage meets the appropriate criteria listed below.

_Property damage: _

1. $2500 or more damage to property other than vehicles (after 1 December 1999)
2. $2500 or more damage to vehicle and/or other property (after 1 December 1991 and before 1 December 1999)
3. value of property damage is greater than $1000 (before December 1991).

_Please note: _

• This data has been extracted from the Queensland Road Crash Database.
• Information held in the Road Crash Database on events occurring within the last 12 months is considered preliminary as investigations into crashes can take up to 1 year to finalise.
• Property damage only crashes ceased to be reported/recorded by Queensland Police Service after 31 December 2010.
• These crash location coordinates reference the current Australian geodetic datum is GDA2020 (previously it was GDA94).

As of August 22, 2022, over 80 percent of adults in Western Australia had been vaccinated with three doses of a COVID-19 vaccine. In comparison, less than 60 percent of Queensland population aged 16 years and over and received three doses of a COVID-19 vaccine.

This dataset describes the position and names of Recreational Points within the State of Queensland. Recreational points include: camping grounds and picnic areas.The location of the features was sourced from existing government topographic maps, regional maps and photogrammetric data. The features were validated against current orthophotography and satellite imagery and modified where necessary. Features for ongoing data capture are sourced from government and community websites and National Park maps and their location is digitized from current orthophotography and satellite imagery. Additional data is supplied by Geoscience Australia as part of their 25K large scale data capture and commitment to the National Topographic Information Coordination Initiative (NTICI). In most cases these features have been identified through fieldwork by Geoscience Australia staff.

This data is a collection of 1 metre contours over parts of the State of Queensland. The original source data that this data was compiled was captured using Airborne Laser Scanning (LiDAR). It consists of multiple project areas over multiple years. Please see the attribute data for information regarding project and year. Due to the size, only current projects are available in this dataset. You cannot download the entire State in one single order, it is too large. This dataset allows you to extract your area of interest using the 'clip, zip and ship' functionality only. You can select areas by LGA in most cases and by city or suburb (locality) or freehand over small areas. You cannot download the entire State in one single order.Data does not cover the whole of the State.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Surface expression GDEs are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so as to maintain their communities of plants and animals, ecological processes and ecosystem services. Surface expression GDE area features include wetlands and regional ecosystems that have some surface groundwater dependency. This dataset is one of five datasets that describe the distribution of known and potential GDEs across the landscape. The complete set of GDE datasets is listed below. Information about the location and extent of known and potential GDEs was sourced from expert knowledge, literature and existing datasets. 1. Surface expression GDE points 2. Surface expression GDE lines 3. Surface expression GDE areas 4. Terrestrial GDE areas 5. Subterranean GDE areas As the different types of GDEs represent different overlapping layers or cross-sections of the landscape, it is recommended that the datasets be mapped in the order of listing shown above (i.e. surface expression GDE points on top) to maintain logical consistency and assist visualisation.

Dataset History

This dataset was developed from work done by the Queensland Herbarium and other Queensland agencies as well as from expert elicitation at workshops.

Linework to delineate the GDE extent was sourced from the following datasets (held by the Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts): 1. Queensland Wetland Data Wetlands Mapping (2009 extent, Version 3.0) 2. Vegetation Communities and Regional Ecosystems (REs) of Queensland (2009 extent, Version 7.0) Although the wetlands linework was typically used to represent surface expression GDEs and regional ecosystems linework typically used to represent terrestrial GDEs, this was not always the case. A notable exception is the inclusion of riverine regional ecosystems as potential terrestrial GDEs. Non-wetland regional ecosystems have been used to delineate areas that may potentially contain surface expression GDEs such as geological contact zones where springs may be not detected as a wetland in current wetlands mapping due to their small size. ATTRIBUTION The attribution for this dataset was sourced from expert knowledge, literature and existing spatial datasets. Information about the location and extent of groundwater was collected at GDE workshops held for the eastern Murray-Darling Basin and Wide Bay and Burnett mapping areas. Information collected from regional staff and other experts with local knowledge of groundwater included the location of wetlands, springs and stream baseflow. Known and potential GDEs were identified in the GDE workshops and this is attributed in the data with the level of confidence (i.e. high, moderate or low) in the knowledge about the GDE. The degree of groundwater dependency is not described. An important part of the information collection at the GDE workshops included the capture of pictorial conceptual models which are representations of observed objects, phenomena and processes in a logical and objective way with the aim of constructing a formal system whose theoretical consequences are not contrary to what is observed in the real world. These pictorial conceptual models will be hyperlinked to the GDE spatial data to aid the interpretation of the data. For more information refer to the GDE pictorial conceptual models. Another key part of the information collected was the identification of GDE decision rules that described combinations of conditions where ecosystems are or are likely to be dependent on groundwater at a specific site or local area according to expert knowledge. GDE decision rules may include descriptions of conditions such as geology, vegetation, topographic position, elevation and rainfall zones. These decision rules were subsequently categorised and combined into GDE mapping rule-sets in preparation for their application using geographic information system (GIS) technology. GDE mapping rule-set is a combination of related decision rules with similar groundwater dependent ecosystem drivers and processes that when applied to spatial data sets through GIS analysis delineate where ecosystems are or are likely to be dependent on groundwater. These GDE mapping rule-sets are used to determine the 'derived' potential GDEs that make up the majority of the GDE mapping. A full list of GDE mapping rule-sets developed for the eastern MDB and WBB regions is described below. Note that where the GDE mapping rule-sets are used, this may result in the identification of surface expression GDEs and/or terrestrial GDEs according to the local conditions and landscape drivers.

Source:

Dataset Citation

"Queensland Department of Science, Information Technology, Innovation and the Arts" (2013) South East Queensland GDE (draft). Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/3b523838-d2a0-4cdc-a792-8ff38d4651ab.

The Department of Transport and Main Roads offers funding to community groups for community projects and programs that work to address road safety issues in support of the strategic objectives set out within the Queensland Road Safety Strategy 2015-2021 and associated Action Plan.

The Community Road Safety Grants aim to:

• Provide opportunities for community organisations to support local road safety initiatives that have a road safety and educational benefit;
• Drive a fundamental culture change and attitude to road safety in local communities;
• Encourage innovation of new ideas to address current and future local road safety issues.

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Surface expression GDEs are …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Surface expression GDEs are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so as to maintain their communities of plants and animals, ecological processes and ecosystem services. Surface expression GDE areafeatures include wetlands and regional ecosystems that have some surface groundwater dependency. This dataset is one of five datasets that describe the distribution of known and potential GDEs across the landscape. The complete set of GDE datasets is listed below. Information about the location and extent of known and potential GDEs was sourced from expert knowledge, literature and existing datasets. 1. Surface expression GDE points 2. Surface expression GDE lines 3. Surface expression GDE areas 4. Terrestrial GDE areas 5. Subterranean GDE areas As the different types of GDEs represent different overlapping layers or cross-sections of the landscape, it is recommended that the datasets be mapped in the order of listing shown above (i.e. surface expression GDE points on top) to maintain logical consistency and assist visualisation. Purpose There are five datasets that describe the distribution of known and potential GDEs across the landscape: 1. Surface expression GDE points, 2. Surface expression GDE lines, 3. Surface expression GDE areas, 4. Terrestrial GDE areas, 5. Subterranean GDE areas. Dataset History Linework to delineate the GDE extent was sourced from the following datasets (held by the Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts): 1. Queensland Wetland Data Wetlands Mapping (2009 extent, Version 3.0) 2. Vegetation Communities and Regional Ecosystems (REs) of Queensland (2009 extent, Version 7.0) Although the wetlands linework was typically used to represent surface expression GDEs and regional ecosystems linework typically used to represent terrestrial GDEs, this was not always the case. A notable exception is the inclusion of riverine regional ecosystems as potential terrestrial GDEs. Non-wetland regional ecosystems have been used to delineate areas that may potentially contain surface expression GDEs such as geological contact zones where springs may be not detected as a wetland in current wetlands mapping due to their small size. ATTRIBUTION The attribution for this dataset was sourced from expert knowledge, literature and existing spatial datasets. Information about the location and extent of groundwater was collected at GDE workshops held for the eastern Murray-Darling Basin and Wide Bay and Burnett mapping areas. Information collected from regional staff and other experts with local knowledge of groundwater included the location of wetlands, springs and stream baseflow. Known and potential GDEs were identified in the GDE workshops and this is attributed in the data with the level of confidence (i.e. high, moderate or low) in the knowledge about the GDE. The degree of groundwater dependency is not described. An important part of the information collection at the GDE workshops included the capture of pictorial conceptual models which are representations of observed objects, phenomena and processes in a logical and objective way with the aim of constructing a formal system whose theoretical consequences are not contrary to what is observed in the real world. These pictorial conceptual models will be hyperlinked to the GDE spatial data to aid the interpretation of the data. For more information refer to the GDE pictorial conceptual models. Another key part of the information collected was the identification of GDE decision rules that described combinations of conditions where ecosystems are or are likely to be dependent on groundwater at a specific site or local area according to expert knowledge. GDE decision rules may include descriptions of conditions such as geology, vegetation, topographic position, elevation and rainfall zones. These decision rules were subsequently categorised and combined into GDE mapping rule-sets in preparation for their application using geographic information system (GIS) technology. GDE mapping rule-set is a combination of related decision rules with similar groundwater dependent ecosystem drivers and processes that when applied to spatial data sets through GIS analysis delineate where ecosystems are or are likely to be dependent on groundwater. These GDE mapping rule-sets are used to determine the 'derived' potential GDEs that make up the majority of the GDE mapping. A full list of GDE mapping rule-sets developed for the eastern MDB and WBB regions is described below. Note that where the GDE mapping rule-sets are used, this may result in the identification of surface expression GDEs and/or terrestrial GDEs according to the local conditions and landscape drivers. Dataset Citation "Queensland Department of Science, Information Technology, Innovation and the Arts" (2013) Queensland groundwater dependent ecosystems. Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/075cdc0a-382e-4040-9a70-fcd85a2da5d5.

In 2022, there were approximately 27.5 thousand non-indigenous prisoners and around 12.9 thousand Aboriginal and Torres Strait Islander prisoners incarcerated across Australia. The number of people imprisoned in Australia has risen considerably since 2009.

Legal and enforcement actions undertaken by the Office of Fair Trading

In 2021, around 570 number of people were imprisoned for property damage or environmental pollution in Australia. In the previous year, around 603 number of people were imprisoned for the same reason.

In 2021, around 2,943 people were imprisoned for robbery or extortion in Australia. In the previous year, around 3,047 people were imprisoned for the same reason.

In 2022, approximately 3,257 people were imprisoned in Australia for homicide and related offences. The number of people imprisoned for homicide has risen by around 500 people over the past ten years.

In 2022, around 10,557 people were imprisoned for assault or acts intended to cause injury in Australia. The figure has stayed above the 9,000 mark since 2017.

In 2021, around 3,717 number of people were imprisoned for unlawful entry with intent in Australia. In the previous year, the figure stood around 3,886 number of people.