Australia Population: Resident: Estimated: Annual: Queensland: Greater Brisbane data was reported at 2,413,457.000 Person in 2017. This records an increase from the previous number of 2,362,672.000 Person for 2016. Australia Population: Resident: Estimated: Annual: Queensland: Greater Brisbane data is updated yearly, averaging 2,171,862.000 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 2,413,457.000 Person in 2017 and a record low of 1,908,265.000 Person in 2006. Australia Population: Resident: Estimated: Annual: Queensland: Greater Brisbane 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.

Chart and table of population level and growth rate for the Brisbane, Australia metro area from 1950 to 2025.

The Brisbane Community Profiles provide detailed statistical information for Greater Brisbane and Brisbane City using information from the Australian Bureau of Statistics, Commonwealth and Queensland Government sources.

Profiles are generated using the latest demographic, social and economic data to gather information about the people who live in an area (Resident Profile) the workers and businesses that operate in the area (Workforce Profile) or how the area has changed over time (Time Series Profile).

The Data and resources section of this dataset contains further information for this dataset.

To select and view data use the link in the Data and resources section below.

The Australian Marine Microbial Biodiversity Initiative (AMMBI) provides methodologically standardized, continental scale, temporal phylogenetic amplicon sequencing data describing Bacteria, Archaea and microbial Eukarya assemblages. Sequence data is linked to extensive physical, biological and chemical oceanographic contextual information. Samples are collected monthly to seasonally from multiple depths at seven National Reference Stations (NRS) sites: Darwin Harbour (Northern Territory), Yongala (Queensland), North Stradbroke Island (Queensland), Port Hacking (New South Wales), Maria Island (Tasmania), Kangaroo Island (South Australia), Rottnest Island (Western Australia). The Integrated Marine Observing System (IMOS) NRS network is described at http://imos.org.au/facilities/nationalmooringnetwork/nrs/ North Stradbroke Island NRS is located 6.6 nm north east of North Stradbroke Island at a depth of 60 m over sandy substrate. It is 30 km southeast of the major city of Brisbane, Queensland (population 2.099 million), at the opening to large, shallow, Moreton Bay. The site is impacted by the southerly flowing EAC and its eddies, which may cause periodic nutrient enrichment through upwelling. This latitude is the biogeographic boundary for many tropical and subtropical species. The water column is well mixed between May-August and stratified for the remainder of the year and salinity may at times be affected by floodwaters from the nearby Brisbane River outflow.

Site details from Brown, M. V. et al. Continental scale monitoring of marine microbiota by the Australian Marine Microbial Biodiversity Initiative. Sci. Data 5:180130 doi: 10.1038/sdata.2018.130 (2018). Site location: North Stradbroke Island National Reference Station (NRS), Queensland, Australia Note on data download/processing: Data downloaded from Australian Microbiome Initiative via Bioplatforms Australia Data Portal on 17 June 2022. The search filter applied to download data from Bioplatforms Australia Data portal are stored in the Darwin Core property (identificationRemarks). Taxonomy is assigned according to the taxonomic database (SILVA 138) and method (Sklearn) which is stored in the Darwin Core Extension DNA derived data property (otu_db). Prefix were removed from the taxonomic names as shown in the example (e.g. d_Bacteria to Bacteria). Scientific name is assigned to the valid name available from the highest taxonomic rank. This collection is published as Darwin Core Occurrence, so the event level measurements need to be replicated for every occurrence. Instead of data replication, the event level eMoF data are made available separately at https://www.marine.csiro.au/data/services/obisau/emof_export.cfm?ipt_resource=bioplatforms_mm_nrs_nsi Please see https://www.australianmicrobiome.com/protocols/acknowledgements/ for citation examples and links to the data policy.

Yearly registered births – breakdown by Month

人口：居民：估计：年度：昆士兰：大布里斯班 在06-01-2017达2,413,457.000人，相较于06-01-2016的2,362,672.000人有所增长。人口：居民：估计：年度：昆士兰：大布里斯班 数据按年更新，06-01-2006至06-01-2017期间平均值为2,171,862.000人，共12份观测结果。该数据的历史最高值出现于06-01-2017，达2,413,457.000人，而历史最低值则出现于06-01-2006，为1,908,265.000人。CEIC提供的人口：居民：估计：年度：昆士兰：大布里斯班 数据处于定期更新的状态，数据来源于Australian Bureau of Statistics，数据归类于全球数据库的澳大利亚 – 表 AU.G002：估计常住人口。

Births that occurred by hospital name. Birth events of 5 or more per hospital location are displayed

This data collection accompanies “Froese, J.G., Rees, M., Murray, J.V., Wilson, C. & Gentle, M. (2022). Modelling feral pig habitat suitability in Queensland to inform disease preparedness and response. Final report prepared for the Queensland Department of Agriculture and Fisheries. Brisbane: CSIRO.”

It contains a series of spatial data products describing ‘feral pig habitat suitability’, ‘potential feral pig density (carrying capacity)’ and ‘feral/domestic pig interaction risk’ across Queensland for 12 temporal scenarios. Scenarios were selected to represent variability in environmental conditions across Queensland along two axes – intra-annual seasonal cycles (summer, autumn, winter, spring) and inter-annual climate cycles (wet, moderate and dry). They were represented by the periods September 2010 – August 2011 (wet climate cycle), December 2012 – November 2013 (moderate climate cycle) and March 2018 – February 2019 (dry climate cycle). The data are provided in TIFF raster file format (coordinate reference system = EPSG 3577: GDA94 / Australian Albers; spatial resolution = 100m). Lineage: The methods to derive these spatial data products built on previously published research on spatially explicit, resource-based feral pig habitat models (Froese et al. 2017; Murray et al. 2015). ‘Habitat suitability’ for feral pig breeding was modelled in a Bayesian network framework dependent on four fundamental resource requirements: food, water, heat refuge and anthropogenic disturbance. Several improvements to increase the robustness and reproducibility of published research methods were implemented and applied to the 12 modelled scenarios.

Estimates of ‘potential feral pig density (carrying capacity)’ were derived for each of these 12 modelled scenarios. This was based on a hypothesized sigmoid relationship that took into account the modelled ‘habitat suitability index (HSI)’ in a particular season, cross-seasonal variability in the modelled HSI within a climate cycle (wet, moderate or dry) and pig densities in Queensland previously reported in the empirical literature.

The potential feral pig density estimates were combined with a ‘weighted domestic pig herd density’ layer that was derived from data on the location and biosecurity status of all registered domestic pigs in Queensland (held by the Queensland Department of Agriculture and Fisheries) to calculate ‘feral/domestic pig interaction risk’ (i.e., the relative risk that feral pig populations at a given landscape location may interact with a nearby domestic pig herd) for each of the 12 modelled scenarios.

Details on study objectives, methods and results are provided in the client report: “Froese, J.G., Rees, M., Murray, J.V., Wilson, C. & Gentle, M. (2022). Modelling feral pig habitat suitability in Queensland to inform disease preparedness and response. Final report prepared for the Queensland Department of Agriculture and Fisheries. Brisbane: CSIRO.” (contact Matthew Gentle: Matthew.Gentle@daf.qld.gov.au)

Queensland Top 100 Baby Names

Aedes aegypti (L.) (Diptera: Culicidae) is a highly invasive mosquito whose global distribution has fluctuated dramatically over the last 100 years. In Australia the distribution of Ae. aegypti once spanned the eastern seaboard, for 3,000 km north to south. However, during the 1900s this distribution markedly reduced and the mosquito disappeared from its southern range. Numerous hypotheses have been proffered for this retraction, however quantitative evidence of the mechanisms driving the disappearance are lacking. We examine historical records during the period when Ae. aegypti disappeared from Brisbane, the largest population centre in Queensland, Australia. In particular, we focus on the targeted management of Ae. aegypti by government authorities, that led to local elimination, something rarely observed in large cities. Numerous factors are likely to be responsible including the removal of larval habitat, especially domestic rainwater tanks, in combination with increased mosquito surveillance and regulatory enforcement. This account of historical events as they pertain to the elimination of Ae. aegypti from Brisbane, will inform assessments of the risks posed by recent human responses to climate change and the reintroduction of 300,000 rainwater tanks into the State over the past decade.

Abstract: This rainforest tree demographic data package comprises recruitment, growth and mortality census data for rainforest trees at the O'Reilly's Plot, Lamington National Park (84 km south of Brisbane), Queensland for 2017. The O’Reilly’s Plot consists of two 1.0 hectare plots spaced 600 m apart in sub-tropical rainforest, which have always been treated as a single unit for the purpose of analysis. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963.

A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network’s full program is provided at https://doi.org/10.25911/5c13444388e1b.

Sampling method: The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart, which have always been treated as a single unit for the purpose of analysis. This data package forms part of the collection of vegetation data undertaken at plots in Lamington National Park which were initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963. The same sampling methods are employed in a related data package focussing on tropical rainforest plots at Davies Creek, Dinden National Park (1.7 ha, 25 km south-west of Cairns). Sampling has been undertaken at intervals of 1-6 years.

Project funding: The National Science Foundation was the sole funder of this research between 1963 and 2003.

\Between 2012 and 2018 this project was soley funded through the Long Term Ecological Research Network (LTERN) a facility within the Terrestrial Ecosystem Research Network (TERN) and supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.

In 2019, Queensland was the Australian state with the highest density of general practitioners with 125.4 GPs per 100,000 of the population. The Australian Capital Territory had the fewest number of GPs in relation to its population.

This rainforest tree data package comprises stand structure data for rainforest trees at the O'Reilly's Connell Rainforest Plot, Lamington National Park (84 km south of Brisbane), Queensland for 2015. The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart in sub-tropical rainforest, established in 1963. They have always been treated as a single unit for the purpose of analysis. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years since 1963. It essentially provides a snapshot of stand structure on the site. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963. A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network's full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/connell-rainforest.

Abstract: This rainforest tree data package comprises stand structure data for rainforest trees at the O'Reilly's Connell Rainforest Plot, Lamington National Park (84 km south of Brisbane), Queensland for 2013. The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart in sub-tropical rainforest, established in 1963. They have always been treated as a single unit for the purpose of analysis. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years since 1963, and this data package is from the most recent recensus of the plot in July 2013. It essentially provides a snapshot of stand structure on the site. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963.

A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network's full program is provided at https://doi.org/10.25911/5c13444388e1b.

Sampling method: The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart, which have always been treated as a single unit for the purpose of analysis. This data package forms part of the collection of vegetation data undertaken at plots in Lamington National Park which were initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963. The same sampling methods are employed in a related data package focussing on tropical rainforest plots at Davies Creek, Dinden National Park (1.7 ha, 25 km south-west of Cairns). Sampling has been undertaken at intervals of 1-6 years.

Project abstract: This group conducts research in the rainforest investigating tree demographics.

Project funding: The National Science Foundation was the sole funder of this research between 1963 and 2003.

Between 2012 and 2018 this project was solely funded through the Long Term Ecological Research Network (LTERN) a facility within the Terrestrial Ecosystem Research Network (TERN) and supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.

Abstract: his rainforest tree data package comprises stand structure data for rainforest trees at the O'Reilly's Connell Rainforest Plot, Lamington National Park (84 km south of Brisbane), Queensland for 2015. The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart in sub-tropical rainforest, established in 1963. They have always been treated as a single unit for the purpose of analysis. Rainforest tree attributes recorded comprise the size (height or girth) of tagged and mapped, free-standing stems of shrub and tree species. Sampling has been undertaken at intervals of 1-6 years since 1963. It essentially provides a snapshot of stand structure on the site. This data package forms part of the collection of vegetation data undertaken at plots situated in both Lamington National Park and Davies Creek initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963.

A synopsis of related data packages which have been collected as part of the Connell Rainforest Plot Network's full program is provided at https://doi.org/10.25911/5c13444388e1b.

Sampling method: The O'Reilly's Plot consists of two 1.0 hectare plots spaced 600 m apart, which have always been treated as a single unit for the purpose of analysis. This data package forms part of the collection of vegetation data undertaken at plots in Lamington National Park which were initiated by Professor Joseph H. Connell (University of California, Santa Barbara) in 1963. The same sampling methods are employed in a related data package focussing on tropical rainforest plots at Davies Creek, Dinden National Park (1.7 ha, 25 km south-west of Cairns). Sampling has been undertaken at intervals of 1-6 years.

Project abstract: This group conducts research in the rainforest investigating tree demographics.

Project funding: The National Science Foundation was the sole funder of this research between 1963 and 2003.

Between 2012 and 2018 this project was part of, and funded through the Long Term Ecological Research Network (LTERN) a facility within the Terrestrial Ecosystem Research Network (TERN) and supported by the Australian Government through the National Collaborative Research Infrastructure Strategy.

In 2021, the crude divorce rate in Queensland, Australia was 2.6 per 1,000 resident population. In contrast, the divorce rate in the Northern Territory was 1.8 per 1,000 resident population.

Australia's café and restaurant scene continues to thrive, with New South Wales leading the way with over 19,225 establishments in operation at the end of the 2024 financial year. The second-leading state in terms of the number of cafés and restaurants was Victoria. As Australia's two largest states in terms of population, the concentration of food service establishments in New South Wales and Victoria mirrors Australia's population distribution, reflecting the urban-centric nature of the country's café and restaurant landscape. Gastronomy: a key economic sector In recent years, the number of cafés and restaurants throughout the country has shown relatively consistent growth, exceeding 55,700 in the 2024 financial year, up from approximately 41,570 in 2017. Australia's cafés, restaurants, and takeaway food services turnover experienced steady annual increases for many years up until the start of the COVID-19 pandemic. Nevertheless, since 2021, the industry's revenue has been on the recovery, hitting a record of over 65 billion Australian dollars in 2024. Additionally, food services represent a key source of gross value added to the tourism industry. An added boost from coffee Coffee plays an important role in the Australian food service sector, with the beverage topping the list of regularly consumed drinks among Australians in a 2024 survey. Several international chains like McCafé operate alongside popular domestic coffee franchises, including The Coffee Club, in the country. Alongside this, the country's annual domestic coffee consumption remains robust, consistently exceeding two million sixty-kilogram bags in recent years, underscoring the enduring nature of Australia's coffee culture. Nonetheless, recent cost-of-living pressures have led to a shift in consumer behavior, with more Australians opting to brew their coffee at home.