U.S. Census Bureau QuickFacts statistics for Hobart CDP, Washington. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Australia Population: Resident: Estimated: Annual: Tasmania: Greater Hobart data was reported at 229,088.000 Person in 2017. This records an increase from the previous number of 225,913.000 Person for 2016. Australia Population: Resident: Estimated: Annual: Tasmania: Greater Hobart data is updated yearly, averaging 216,971.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 229,088.000 Person in 2017 and a record low of 204,753.000 Person in 2006. Australia Population: Resident: Estimated: Annual: Tasmania: Greater Hobart data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.G002: Estimated Resident Population.

澳大利亚 Population: Resident: Estimated: Annual: Tasmania: Greater Hobart在2017达229,088.000 人口，相较于2016的225,913.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: Tasmania: Greater Hobart数据按每年更新，2006至2017期间平均值为216,971.500 人口，共12份观测结果。该数据的历史最高值出现于2017，达229,088.000 人口，而历史最低值则出现于2006，为204,753.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: Tasmania: Greater Hobart数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

U.S. Census Bureau QuickFacts statistics for Hobart village, Wisconsin. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

This dataset is the June 2022 release of Geoscape Planning for a single SA2 area (Hobart) with SA2 code (61027). Buildings is a spatial dataset which represents Australia's built environment derived from remotely sensed imagery and aggregated data sources. The Buildings dataset has relationships with the G-NAF, Cadastre, Property and Administrative Boundaries products produced by Geoscape Australia. Users should note that these related Geoscape products are not part of Buildings. For more information regarding Geoscape Buildings, 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 accessed by you can not be greater than a single Level 2 Statistical Area (SA2) 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. Buildings is a digital dataset representing buildings across Australia. Data quality and potential capture timelines will vary across Australia based on two categories, each category has been developed based on a number of factors including the probability of the occurrence of natural events (e.g. flooding), population distribution and industrial/commercial activities. Areas with a population greater than 200, or with significant industrial/commercial activity in a visual assessment have been defined as 'Urban' and all other regions have been defined as 'Rural'. This dataset has been restricted to the Hobart SA2 by AURIN.

The workforce dataset contains monthly workforce sizes from July 2005 to June 2018 in the eight Australian capital cities with estimated stratification by indoor and outdoor workers. It is included in both csv and rda format. It includes variables for:

• Year
• Month
• GCCSA (Greater Capital City Statistical Area, which is used to define capital cities)
• Date (using the first day of the month)
• fulltime: Fulltime workers
• parttime: Parttime workers
• n. Overall workers
• outorin. Estimated indoor or outdoor status

This data are derived from the Australian Bureau of Statistics (ABS) Labour Force, Australia, Detailed, LM1 dataset: LM1 - Labour force status by age, greater capital city and rest of state (ASGS), marital status and sex, February 1978 onwards (pivot table). Occupational data from the 2006, 2011 and 2016 Census of Population and Housing (ABS Census TableBuilder Basic data) were used to stratify this dataset into indoor and outdoor classifications as per the "Indooroutdoor classification.xlsx" file. For the Census data, GCCSA for the place of work was used, not the place of usual residence.

Occupations were defined by the Australian and New Zealand Standard Classification of Occupations (ANZSCO). Each 6-digit ANZSCO occupation (the lowest level classification) was manually cross-matched with their corresponding occupation(s) from the Canadian National Occupation System (NOC). ANZSCO and NOC share a similar structure, because they are both derived from the International Standard Classification of Occupations. NOC occupations listed with an “L3 location” (include main duties with outdoor work for at least part of the working day) were classified as outdoors, including occupations with multiple locations. Occupations without a listing of "L3 location" were classified as indoors (no outdoor work). 6-digit ANZSCO occupations were then aggregated to 4-digit unit groups to match the ABS Census TableBuilder Basic data. These data were further aggregated into indoor and outdoor workers.

The 4-digit ANZSCO unit groups’ indoor and outdoor classifications are listed in "Indooroutdoor classification.xlsx."

ANZSCO occupations associated with both indoor and outdoor listings were classified based on the more common listing, with indoors being selected in the event of a tie. The cross-matching of ANZSCO and NOC occupation was checked against two previous cross-matches used in published Australian studies utilising older ANZSCO and NOC versions. One of these cross-matches, the original cross-match, was validated with a strong correlation between ANZSCO and NOC for outdoor work (Smith, Peter M. Comparing Imputed Occupational Exposure Classifications With Self-reported Occupational Hazards Among Australian Workers. 2013).

To stratify the ABS Labour Force detailed data by indoors or outdoors, workers from the ABS Census 2006, 2011 and 2016 data were first classified as indoors or outdoors. To extend the indoor and outdoor classification proportions from 2005 to 2018, the population counts were (1) stratified by workplace GCCSA (standardised to the 2016 metrics), (2) logit-transformed and then interpolated using cubic splines and extrapolated linearly for each month, and (3) back-transformed to the normal population scale. For the 2006 Census, workplace location was reported by Statistical Local Area and then converted to GCCSA. This interpolation method was also used to estimate the 1-monthly worker count for Darwin relative to the rest of Northern Territory (ABS worker 1-monthly counts are reported only for Northern Territory collectively).

ABS data are owned by the Commonwealth Government under a CC BY 4.0 license. The attached datasets are derived and aggregated from ABS data.

From 1975 to 2000, biological surveys were undertaken of the many islands around the coast of Tasmania and Bass Strait. Most sites were visited only once. There were varying methods to estimate the population size of the seabirds at each site, ranging from counting active nests, burrows and in some cases from the size of the site along with a measure of the nest or burrow densities. Further details of the geology and vegetation cover are in the cited reference Brothers, Nigel, Pemberton, David, Pryor, Helen and Halley, Vanessa (2001) Tasmania's offshore islands: seabirds and other natural features. Tasmanian Museum and Art Gallery. ISBN 072464816X xii, 643

The Australian senior living market, valued at $6.03 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 8.17% from 2025 to 2033. This significant expansion is driven by several key factors. The aging Australian population, with a rising proportion of individuals aged 65 and over requiring assisted living arrangements, is a primary driver. Increased disposable incomes among older Australians and a growing preference for high-quality, amenity-rich retirement communities further fuel market demand. Government initiatives aimed at supporting aged care and improving access to senior living facilities also contribute to market growth. The market is segmented by property type (Assisted Living, Independent Living, Memory Care, Nursing Care) and location, with significant demand across major cities like Melbourne, Perth, and regional areas such as the Sunshine Coast and Hobart. Competition is intense, with established players like Aveo, RSL LifeCare, and Stockland vying for market share alongside smaller, specialized operators. The market's future trajectory is influenced by several trends. The increasing demand for specialized care, particularly for individuals with dementia or Alzheimer's disease, is driving growth in the memory care segment. Technological advancements, such as telehealth and smart home technology, are being integrated into senior living facilities to enhance resident care and independent living capabilities. Furthermore, a growing focus on sustainability and environmentally friendly practices within the industry is shaping future developments. While the market faces challenges, including rising construction costs and labor shortages, the overall outlook remains positive, driven by the long-term demographic trends and increasing demand for high-quality senior living options. The projected market size in 2033, extrapolated from the provided data, indicates a considerable expansion opportunity for both existing and new market entrants. This comprehensive report provides a detailed analysis of the booming Australian senior living market, encompassing the period from 2019 to 2033. With a focus on the estimated year 2025 and a forecast extending to 2033, this study offers invaluable insights for investors, operators, and stakeholders navigating this dynamic sector. We delve deep into market size, segmentation, trends, and future growth potential, considering key players like Aveo, RSL LifeCare, and Stockland, among others. This report utilizes data from the historical period (2019-2024) and establishes a robust base year of 2025. Recent developments include: August 2023: Aware Super has invested an undisclosed amount to acquire the remaining 30% it does not own in Oak Tree Retirement Villages. This senior housing platform owns 48 complexes along Australia's Eastern seaboard., February 2023: Lendlease 'Grove' extension will deliver 45 new two- and three-bedroom independent villas with internal garage access and private covered alfresco entertaining. The project will also include a separate 124-bed residential aged care facility delivered by Arcare Aged Care, offering a continuum of care in high demand in the Ngunnawal region.. Key drivers for this market are: 4., Aging Population4.; Increased Longevity. Potential restraints include: 4., Inadequate Staffing. Notable trends are: Increasing Senior Population and Life Expectancy driving the market.

To quantify and identify alien invertebrate transfer to Antarctica our research utilised two methods. Firstly, we examined the Australian Antarctic Division's (AAD) alien invertebrate collection of samples from Australian Antarctic research stations, cargo handling facility, and supply ships. Secondly, we implemented a trapping regime at key locations and on supply ships during the 2012-13 shipping season. Furthermore, we utilised a trapping dataset from similar locations collected in 2002-2004.

The Collection Since 2000, the AAD has encouraged Antarctic expeditioners and staff to collect and record alien invertebrate incursions from its four Antarctic research stations, supply ships, a transport aircraft, the cargo facility in Hobart in the wharf precinct of Hobart, and its cargo warehouse in semi-rural Kingston, Tasmania, Australia. Furthermore in 2004, an electronic database for logging environmental incident reports was created. These reports instigate a chain of management response. Incident reports can be generated regardless of whether a physical specimen is collected. Alien invertebrate collection kits - colloquially known as critter kits, were dispatched to ships and stations by the AAD's Environmental Officer. The kits contained sample jars, collecting equipment, data capturing notebooks with defined fields (date, collector, location, notes) to record collection details, barcodes to enable identification of individual collection events and instructions for providing guidance to those not usually engaged in collection of invertebrates.

Any specimens collected were returned to Australia along with collection information. We identified these specimens to the most resolved taxonomic level possible. Any records not paired with a physical specimen (i.e. an incident report with no collection) could not be formally identified and were therefore omitted from taxonomic analysis. The only exception was where the specimen was identified by the collector as a 'spider', 'fly', 'snail' or 'moth' which were categorised as Araneae, Diptera, Gastropoda, and Lepidoptera respectively. In these cases, it was deemed that the distinct form and familiarity of these invertebrates even to non-experts generated correct evaluations of the specimens to a coarse taxonomic level. During the 2012-13 season expeditioners were repeatedly briefed to be especially vigilant to search for and collect any invertebrates. All specimens and incident reports were reviewed to determine vectors and location information. Vector categories were nominated as food, ship, aircraft, and various cargo types. Additional information associated with the specimen was used to determine the specific cargo type. Where invertebrates were 'hidden' in containers, 'trapped' or 'entangled' in cargo materials the vector was deemed 'container and packaging materials'. The supply ships and aircraft were considered vectors given they both travel south and attract invertebrates in their own right, via colours, lights and invertebrates windblown onto their surfaces. General location categories were: 'wharf/cargo facility', 'ships/aircraft', and the four research stations - Macquarie Island (54 degrees 30' S 158 degrees 57' E), Casey (66.28 degrees S, 110.52 degrees E), Davis (68.57 degrees S, 77.96 degrees E) and Mawson (67.60 degrees S, 62.86 degrees E). Samples with unknown vectors or undocumented locations were excluded from analyses.

Trapping Two types of traps were deployed on supply ships and at the cargo facility in 2012-13. Battery operated 8 watt ultra-violet light traps (Australian Entomological Supplies, Sydney, NSW) were complemented with colour pan traps constructed of yellow and white plastic plates 18 cm in diameter, smeared with Tangle Trap (R) brush-on, petroleum-based insect trap coating. These colours were chosen because they are the most attractive to targeted flying insects such as flies, wasps, aphids and thrips. Trapping was undertaken on two ships, which collectively undertook five voyages to Antarctica from Hobart from October to February 2012-13. We attempted to deploy traps at several times during the journey - leaving port, at sea, and approaching the destination (land). However, variable sea conditions among voyages influenced the frequency of trap deployment. Light traps were automatically activated by dark conditions and were illuminated for up to 12 hours at a time. The traps were placed in areas which were dark at night, and colour traps were placed in areas with access to the outdoors and proximity to food. At the cargo facility in Hobart, Australia, light and colour traps were deployed for approximately three consecutive days while the ship was in port undergoing cargo loading prior to departure for the Antarctic. During the course of the season, we deployed 39 light trap night for a total of 418 hours. Fifty-eight yellow and 58 white traps were exposed for a total of 7440 hours each. Expeditioners and staff were briefed prior to departure to encourage increased vigilance for ad hoc invertebrate collection at the cargo facility and on the supply ships.

Previous trapping data In 2002-2004 trapping was undertaken at the Kingston cargo warehouse and the cargo facility in the spring and summer. Blue and yellow colour sticky traps were deployed for several weeks at a time. The quantity and identity of taxa from the 2002-04 trapping exercise were compared with our comparable trapping from 2012-13.

Populations on continental islands are often distinguishable from mainland conspecifics with respect to body size, appearance, behaviour, or life history, and this is often congruent with genetic patterns. It is commonly assumed that such differences developed following the complete isolation of populations by sea level rise following the Last Glacial Maximum (LGM). However, population divergence may pre-date the LGM, or marine dispersal and colonisation of islands may have occurred more recently; in both cases, populations may have also diverged despite on-going gene flow. Here we test these alternative hypotheses for the divergence between wedge-tailed eagles from mainland Australia (Aquila audax audax) and the threatened Tasmanian subspecies (A. a. fleayi), based on variation at 20 microsatellite loci and mtDNA. Coalescent analyses indicate that population divergence appreciably post-dates the severance of terrestrial habitat continuity, and occurred without any subsequent gene flow. We infer a recent colonisation of Tasmania by marine dispersal, and cannot discount founder effects as the cause of differences in body size and life history. We call into question the general assumption of post-LGM marine transgression as the initiator of divergence of terrestrial lineages on continental islands and adjacent mainland, and highlight the range of alternative scenarios that should be considered.