In 2018, approximately ******* people were employed in the health care and social assistance industry in New South Wales in Australia, which was also the leading industry in New South Wales for employment. In that same year over ******* people were working in the education and training industry in New South Wales. The majority of those employed in 2018 lived in Sydney, the capital of NSW.

Context

NSW has been hit by the Omicron variant, with skyrocketing cases. This dataset, updated regularly, details the location of positive cases. A prediction of where the most cases could occur can be derived from this dataset and a potential prediction of how many cases there is likely to be.

Content

notification_date: Text, dates to when the positive case was notified of a positive test result. postcode: Text, lists the postcode of the positive case. lhd_2010_code: Text, the code of the local health district of the positive case. lhd_2010_name: Text, the name of the local health district of the positive case. lga_code19: Text, the code of the local government area of the positive case. lga_name19: Text, the name of the local government area of the positive case.

Acknowledgements

Thanks to NSW Health for providing and updating the dataset.

Inspiration

The location of cases is highly important in NSW. In mid-2021, Western Sydney had the highest proportion of COVID-19 cases with many deaths ensuing. Western Sydney is one of Sydney's most diverse areas, with many vulnerable peoples. The virus spread to western NSW, imposing a risk to the Indigenous communities. With location data, a prediction service can be made to forecast the areas at risk of transmission.

In financial year 2023, the number of people who received assistance from a homelessness agency in New South Wales, Australia, was around **** thousand. Between financial year 2014 and 2015, a significant increase in the number of people who received assistance from a homelessness agency in New South Wales occurred, when the number of them using assistance rose with about **** thousand people.

The annual NSW People Matter Employee Survey provides an important opportunity for almost 400,000 employees to have a say about their workplace and to help make the public sector a better place to work. The survey asks employees about experiences with their own work and working with their team, managers and the organisation. The public sector includes a wide range of services relating to health, education, transport, justice, family support, finance, planning, the environment, and many other areas. Employees provide services directly to the public or work behind the scenes in research, policy, programs, clerical, corporate, or other types of jobs.\r \r The survey was co-ordinated by the Public Service Commission working in collaboration with public sector departments and agencies.

Interactive report on People in crashes in local government area. Reporting years 2009 to 2013

Dataset

This dataset was created by Henry Lin

Contents

NSW

## Overview

NSW is a dataset for object detection tasks - it contains Person annotations for 9,007 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The data within this dashboard shows how we are performing against our objective to support people with disability to realise their potential by:

• increasing the number of people with disability who make decisions about their supports

• preparing for the full rollout of the NDIS by July 2018.

The year 2020 marks the 200th anniversary of European settlers first encountering the 'noble expanse of water' of Lake George in New South Wales. Since 1820, unofficial observations and official measurements of the lake's water level have been recorded almost continuously by various individuals, research teams, government departments and private companies. The lake's recent hydrographic history has been characterised by periods of flood and drought, which correspond with the prevailing rainfall conditions of SE Australia. This is the longest water level record of its sort in the Southern Hemisphere and hence of great scientific and historic value. Here, we have compiled all available historic water level data for Lake George, referenced them to common datums and presented a methodology for continuing the record using satellite imagery in lieu of on-site measurements. Acknowledgements:The authors wish to acknowledge the Ngunnawal people as the traditional owners of the land upon which Lake George is situated. We also repeat the call of numerous people before us for the return of the lake's traditional name. Whether that be Weereewa or Ngungara, as people of non-indigenous decent, we are in no place to say. However, either would be preferable to the name of a monarch who never stepped foot in Australia, let alone on the shore of the lake.During the course of this study Bear McPhail passed away. His academic guidance, passion for Lake George, and friendship were pivotal for the production of this work. We miss him tremendously and we dedicate this work to his memory.For the early stages of this research, M. Short received financial support from the Australian Government in the form of an Australian Postgraduate Award, and from the Australian National University in the form a research scholarship.Research funding was partially provided by a Linkage Grant awarded by the Australian Research Council for the Lake George Project (LP140100911).We thank Timothy Purves (Senior Analytics Engineer, Icon Water) for providing the Icon Water lake level data during the years 2013-15 and permission to publish those data.The Keatley family, of the Luckdale property on the eastern shore of Lake George, graciously provided access through their property to collect samples and install sensors at Rocky Point between 2013 and 2017. Peter Keatley was an especially valuable source of information and history because of his many years living on the edge of the lake.

Australia Internet Vacancy: Trend: NSW: Labourers data was reported at 3,637.982 Person in Mar 2025. This records a decrease from the previous number of 3,691.716 Person for Feb 2025. Australia Internet Vacancy: Trend: NSW: Labourers data is updated monthly, averaging 4,034.872 Person from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 7,831.879 Person in Sep 2007 and a record low of 2,244.573 Person in Mar 2020. Australia Internet Vacancy: Trend: NSW: Labourers data remains active status in CEIC and is reported by National Skills Commission. The data is categorized under Global Database’s Australia – Table AU.G109: Internet Vacancies: by Occupation and by State.

Supporting the community to strengthen social cohesion and belonging by collecting, protecting and celebrating NSW's stories, artefacts, content, arts, culture and heritage experiences.

NSW is home to the oldest and most distinctive cultural institutions in the country. Visitation rates to our cultural institutions have surged past our pre-COVID records, with the Australian Museum recording the highest visitation rate in its almost 200-year history and more than 2 million visitors to the new expanded Art Gallery of NSW campus Naala Badu and Naala Nura. Expanding access to online engagement has been hugely significant too, with more than 21 million views globally of Sydney Opera House videos (in addition to its 10 million visitors to the site each year) and 4.6 million sessions on the State Library's website. Investment in the Powerhouse (MAAS) sites will support sharing its exhibitions with more people across NSW. The Museums of History NSW experienced growing visitation across their sites, which bring history to life through diverse voices and viewpoints.

Note on the data:

The data provided here reflects a reproduction of onsite visitation figures that have been published in the respective cultural institutions annual report. The data does not reflect offsite engagement activities (e.g. offsite public programs and touring activity). It also relates only to the primary site of visitation, for example, The State Library of NSW helps administer all public libraries in NSW (under the Library Act 1939) and visitation to these local libraries is not included in the above State Library visitation figure. In 2023-24, there were over 26 million visits to NSW public libraries. In that year, $40.89m of the State Library’s budget was provided for public library funding to local councils.

Each individual annual report includes supporting information such as closures or attendance limitations due to revitalisation, refurbishment, COVID measures, and COVID recovery measures such as free admission.

Each cultural institution has its own methodology and categorisation of onsite visitation, and attendance rates are not directly comparable.

Data gaps: For 2018-19 only, the State Library published a combined online and onsite visitation figure. The data for the State Library for this year included above is on-site visitation only, which was sources directly from the State Library (i.e. not their annual report). The Museums of History NSW was created in 2022, incorporating stewardship responsibilities for the State Archives and for significant museums, houses and collections. Previous data from the annual reports of the State Archives and Records Authority of NSW (SARA) (reading room and onsite programming) and Sydney Living Museums (total onsite visitation including grounds) from 2018-19 to 2021-22 have been included for comparison before 2022.

ABS Census data extract - G01 SELECTED PERSON CHARACTERISTICS BY SEX providing a breakdown of population at Suburb level and by:age groupsaboriginal and/or Torres Strait Islander persons (a)birthplace (b) and (c)language used at home (d)age of persons attending an education institution (e)highest year of school completed (f)count of persons in occupied private dwellings (g)Count of persons in other dwellings (g) (h)This data is based on place of usual residence unless otherwise stated.(a) Applicable to persons who are of both Aboriginal and Torres Strait Islander origin.(b) Includes 'Australia', 'Australia (includes External Territories), nfd', 'Norfolk Island' and 'Australian External Territories, nec'.(c) Includes 'Inadequately described', and 'At sea'. Excludes not stated.(d) Includes 'Inadequately described' and 'Non-verbal, so described'. Excludes not stated.(e) Comprises 'Preschool', 'Primary' (including Government, Catholic, Other non-Government, Primary not further defined), 'Secondary' (including Government, Catholic, Other non-Government, Secondary not further defined) and 'Tertiary' (including vocational education (including TAFE and private training providers), university or other higher education, Tertiary not further defined). Excludes persons who did not state which type of education institution they were attending.(f) Applicable to persons aged 15 years and over.(g) Data is based on place of enumeration. Excludes overseas visitors.(h) Includes 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s.Please note that 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.

No notes provided

Australia Internet Vacancy: Trend: NSW: Managers data was reported at 7,930.784 Person in Mar 2025. This records a decrease from the previous number of 7,989.397 Person for Feb 2025. Australia Internet Vacancy: Trend: NSW: Managers data is updated monthly, averaging 9,256.719 Person from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 13,035.501 Person in Apr 2008 and a record low of 5,104.892 Person in Jun 2020. Australia Internet Vacancy: Trend: NSW: Managers data remains active status in CEIC and is reported by National Skills Commission. The data is categorized under Global Database’s Australia – Table AU.G109: Internet Vacancies: by Occupation and by State.

The Human Services Data Hub aggregates data about human services funded by NSW Government. This dataset lists NGO providers who had active service agreements in 2014/15 and 2015/16. It includes the services, locations and target groups covered by each agreement.

For more information visit http://www.finance.nsw.gov.au/ict/about/case-studies/human-services-data-hub

NOTE: the KML file published on 01/03/2016 has been updated on 02/03/2016.

Performance Audit Report: Mental health service planning for Aboriginal people in NSW | gimi9.com

Night-time in-person spend is a key indicator of the value of the night-time economy, particularly economic activity driven by consumers outside their homes at night across NSW. Perhaps more importantly, the night time in-person spend is also an indicator of people's participation in activities outside their homes at night, which supports social cohesion and personal wellbeing.

The data is sourced from NSW Government Customer Experience Survey (CXS).

The following caveats apply to the value of the night-time economy measures:

1. 'Spend data' is provided by Westpac based on transactions captured by card payment terminals, adjusted for its market coverage and client profiles to reflect the population total. Cash transactions are not included. Figures are nominal (not adjusted for inflation)

2. 'Annual spend' is the 'Moving Annual Total' (sum of previous 12 months' figures)

Australia Internet Vacancy: Trend: NSW: Sales Workers data was reported at 4,816.872 Person in Mar 2025. This records a decrease from the previous number of 4,909.561 Person for Feb 2025. Australia Internet Vacancy: Trend: NSW: Sales Workers data is updated monthly, averaging 6,026.637 Person from Jan 2006 (Median) to Mar 2025, with 231 observations. The data reached an all-time high of 10,681.221 Person in Dec 2007 and a record low of 2,964.463 Person in May 2020. Australia Internet Vacancy: Trend: NSW: Sales Workers data remains active status in CEIC and is reported by National Skills Commission. The data is categorized under Global Database’s Australia – Table AU.G109: Internet Vacancies: by Occupation and by State.

Welcome to the Great Koala Count!

The Great Koala Count is an exciting large-scale Citizen Science survey being run by National Parks Association, in partnership with the Great Eastern Ranges Initiative. The Great Koala Count is running from the 7th to the 17th of November and everyone is invited to join! The aim of the Count is to create a comprehensive picture of Koala numbers and locations across the landscape by engaging the community directly in a once-a-year survey. With sufficient support, it is hoped the Count will be replicated each year to show trends in Koala populations, movement and habitat use over time.

A free GPS enabled smartphone app 'BioTag' which links to the Atlas of Living Australia has been developed specifically for the Count. BioTag will enable participants to easily record the location of each Koala they see, along with a series of observational questions about the Koala and its habitat. This will result in the generation of scientifically robust data and will serve to complement existing Koala records. The survey breaks new ground by allowing anyone to record and share their own ecological data, as well as to view the data collected by others. People who do not own a Smartphone can upload their sightings directly to the Koala Count data portal.

The Count includes two surveys, one for Koala sightings and one to record other common species sighted during your Koala search. Knowing that no Koala sightings have been made in a survey area is as important as surveys that locate Koalas, as it helps to build a more complete picture of Koala distribution. We would like you to record as many of the common species as you see so we know where you were looking.

How will counting Koalas help? By participating in the Great Koala Count, you will help build a more detailed picture of Koalas and their habitat use, providing a valuable resource for planning future Koala conservation projects and helping to make a difference to this unique Australian animal. The more people that get involved, the more valuable data we will generate and therefore the more successful the survey will be.

Long-term aims The long-term aim is to repeat the Count annually so that changes in populations and the effectiveness of conservation efforts, along with the impact of events such as drought and fire, can be monitored over time. The analysis of this monitoring can be used to inform decisions about future conservation effort.

How to get involved Getting involved is quick and easy and anyone can join. To participate, simply register as an NPA Citizen Scientist here. Once you have registered, you can download BioTag, our Citizen Scientists Smartphone App which is available from Google Play and iTunes. Once you have downloaded BioTag you are free to practice with it anytime up until the start of the Count, after which you are ready to start recording your Koala sightings. We will delete all records entered before the Count so don't worry about making a mistake or entering test data. At the end of the Count participants will each receive a report of the Great Koala Count survey findings.

To share your stories and experiences about the Count, and to be kept up to date with what is happening, join our new Koala Count Facebook page www.facebook.com.au/KoalaCount.

COVID-19 tests by date and postcode, local health district, local government area and result. The data is for people tested for COVID-19 and is based on location of residence reported at the time of …Show full descriptionCOVID-19 tests by date and postcode, local health district, local government area and result. The data is for people tested for COVID-19 and is based on location of residence reported at the time of the test. A surge in total number of tests performed on a particular day may occur as the test results are updated in batches and new laboratories gain testing capacity. The underlying dataset was assessed to measure the risk of identifying an individual and the level of sensitivity of the information gained if it was known that an individual was in the dataset. The dataset was then treated to mitigate these risks, including suppressing and aggregating data.