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

Transport for NSW provides projections of population and dwellings at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2024 (TZP24), released in January 2025.\r \r TZP24 replaces the previously published TZP22.\r \r The projections are developed to support a strategic view of NSW and are aligned with the NSW Government Common Planning Assumptions .\r \r The TZP24 Population & Dwellings Projections dataset covers the following variables:\r \r * Estimated Resident Population\r \r * Structural Private Dwellings (Regional NSW only)\r \r * Population in Occupied Private Dwellings, by 5-year Age categories & by Sex\r \r * Population in Non-Private Dwellings\r \r The projections in this release, TZP24, are presented annually from 2021 to 2031 and 5-yearly from 2031 to 2066, and are in TZ21 geography.\r \r Please note, TZP24 is based on best available data as at early 2024, and the projections incorporate results of the National Census conducted by the ABS in August 2021.\r \r Key Data Inputs used in TZP24:\r \r * 2024 NSW Population Projections – NSW Department of Planning, Housing & Infrastructure\r \r * 2021 Census data - Australian Bureau of Statistics (including dwellings by occupancy, total dwellings by Mesh Block, household sizes, private dwellings by occupancy, population age and gender, persons by place of usual residence)\r \r For a summary of the TZP24 projection method please refer to the TZP24 Factsheet .\r \r For more detail on the projection process please refer to the TZP24 Technical Guide . \r \r Additional land use information for workforce and employment as well as Travel Zone 2021 boundaries for NSW (TZ21) and concordance files are also available for download on the Open Data Hub.\r \r Visualisations of the population projections are available on the Transport for NSW Website under Data and research/Reference Information .\r \r Cautions\r \r The TZP24 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions and population and employment projections.\r \r The projections are not based on specific assumptions about future new transport infrastructure but do take into account known land-use developments underway or planned, and strategic plans.\r \r *\tTZP24 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns.\r \r *\tThe TZP24 outputs represent a point in time set of projections (as at early 2024).\r \r *\tThe projections are not government targets.\r \r *\tTravel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results.\r \r *\tAs a general rule, TZ-level projections are illustrative of a possible future only.\r \r *\tMore specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub.\r \r *\tCaution is advised when comparing TZP24 with the previous set of projections (TZP22) due to addition of new data sources for the most recent years, and adjustments to methodology.\r \r Further cautions and notes can be found in the TZP24 Technical Guide\r \r Important note: \r \r The Department of Planning, Housing & Infrastructure (DPHI) published the 2024 NSW Population Projections in November 2024. As per DPHI’s published projections, the following variables are excluded from the published TZP24 Population and Dwellings Projections:\r \r *\tStructural Private Dwellings for Travel Zones in 43 councils across Greater Sydney, Illawarra-Shoalhaven, Central Coast, Lower Hunter and Greater Newcastle\r \r *\tOccupied Private Dwellings for Travel Zones in NSW.\r \r Furthermore, in TZP24, the Structural Private Dwellings variable aligns with the 2024 Implied Dwelling projections while the Occupied Private Dwellings variable aligns with the 2024 Households projections at SA2 level prepared by DPHI.\r \r The above variables are available upon request by contacting model.selection@transport.nsw.gov.au - Attention Place Forecasting.

The Hunter Community Study (HCS) is a longitudinal cohort study of men and women aged 55-85 years of age who reside in Newcastle, New South Wales on the east coast of Australia. The study is conducted as a collaboration between the University of Newcastle and the Hunter New England Area Health Service.The first phase of this study sampled 3253 people representing a response rate of 44.5%. A follow up survey of the entire cohort is currently being completed (Jan-June 2011). Description of the data Blood collection samples The blood samples include plasma, serum, whole blood, and DNA that have been stored at -80 degrees Celsius, as well as whole cells cryopreserved in DMSO in liquid nitrogen (-196C) for future use. All the blood samples are stored in 1-ml aliquots to minimize freeze-thaw cycles, which may adversely impact on analyte integrity. One of the more unique samples is whole blood that has been cryopreserved with dimethyl sulphoxide (DMSO) in liquid nitrogen to obtain whole lymphocytes for future cell immortalization (through Epstein-Barr virus transformation) and cytogenetic studies. These samples also allow for assaying biomarkers of genetic damage, in which toxins have affected DNA integrity. These include single- or double-stranded DNA breaks detected using the COMET assay, micronuclei, sister chromatid exchanges and cytogenetic abnormalities, all of which require whole viable cells, not just isolated DNA. Electronic data All files are in SAS format and the total file size is ~250MB. Participants have given consent for linkage to area health databases (for hospitalisations), death registry, and Medicare records. Measures within this study include: demographics (age, education, housing, income, government benefits), morbidity (self-reported diseases) and health professional utilization, use of complementary and alternative medicines and medication, nutrition (use of a Food Frequency Questionnaire), quality of life (using Short Form 36 [SF-36] and Australian Quality of Life - Mark 2 [AQoL II]), physical activity (using the Physical Activity Scale for the Elderly [PASE]), mental health (using the Kessler Psychological Distress Scale [K 10], Center for Epidemiologic Studies Depression Scale [CES-D] and Memory Assessment Clinic-Q [MAC-Q]), daytime sleepiness (using the Epworth Sleepiness Scale), social support (using the Duke Social Support Index [DSSI]), occupational exposures to more than 40 different classes of toxins (using the Finnish Job Exposure Matrix [FINJEM]), lifetime tobacco use, lifetime alcohol consumption, oral health questionnaire, hearing assistance (using Glasgow Hearing Aid Questionnaire) and spirituality measures (including religion and attendance at places of worship). Clinical data collection measures include respiratory function (Spirometry [Spida 5 Software]), cardiovascular function (heart rate, blood pressure - using BP Tru Blood Pressure Machine-100), cognition (Audio Recorded Cognitive Screening (ARCS), Neuropsychological battery Mini Mental State Examination [MMSE]), sensory measures (visual acuity, hearing [pure tone audiometry], smell [Sniffin Sticks], vibration sensation [biothesiometry]), obesity (Body Mass Index [BMI], Waist-to-hip-ratio [WHR]), functional performance (functional reach test, Timed Up and Go, grip strength), physical activity (self-reported and individual pedometry results), bone density (ultrasound ankle bone Densitometry), vaccination history and Non-Steroidal Anti-Inflammatory Drug (NSAID) use. Physical data collection measures via routine haematological and biochemical tests include full blood count, fibrinogen, lipids, triglycerides, liver function test, proteins, electrolytes, urea, urate, creatinine. fasting total cholesterol, fasting blood glucose.

Census employment and income data for persons working in creative industries and creative occupations.

This dataset consists of 14 individual datasets that underpin the interactive dashboards on the project's Data Tables webpage.

Project background:

Australian cultural and creative activity: A population and hotspot analysis is an Australian Research Council Linkage project (LP160101724) being undertaken by QUT and the University of Newcastle, in partnership with Arts Queensland, Create NSW, Creative Victoria, Arts South Australia and the Western Australian Department of Local Government, Sport and Cultural Industries.

This comprehensive project aims to grasp the contemporary dynamics of cultural and creative activity in Australia. It brings together population-level and comparative quantitative and qualitative analyses of local cultural and creative activity. The project will paint a complete national picture, while also exploring the factors that are producing local and regional creative hotspots.

Creative hotspots for study were selected in consultation with state research partners:

Queensland – Cairns, Sunshine Coast + Noosa, Gold Coast, Central West Queensland
New South Wales – Coffs Harbour, Marrickville, Wollongong, Albury
Victoria – Geelong + Surf Coast, Ballarat, Bendigo, Wodonga
Western Australia – Geraldton, Fremantle, Busselton, Albany + Denmark
South Australia – to be confirmed shortly

Statistical summaries drawn from a diverse range of data sources including the Australian Census, the Australian Business Register, IP Australia registration data, infrastructure availability lists and creative grants and rights payments as well as our fieldwork, inform hotspot reports.

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/ Port Hacking NRS is located 3 nm offshore at 100 m depth over fine muddy sand, near the major city of Sydney, New South Wales (population 4.3 million). This is a sub-tropical to temperate location with strong seasonality. The site is just downstream of the EAC separation zone and is impacted by the dynamics of flow of EAC and its eddy field. The water column is very well mixed between May and Sept (although the duration of this mixing has decreased in recent years (Ingleton, T. unpublished observation)) and highly stratified between December and March. Upwelling can occur via eddies or wind driven slope water intrusions. There is a long historical oceanographic dataset from this site (with intermittent gaps in certain parameters) dating back to 1953. 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: Port Hacking National Reference Station (NRS), New South Wales, 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_phb

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.

This dataset refers to wave four of the 1946-1951 (Mid-age) cohort. ALSWH began in 1996, and consisted of three cohorts; the 1973-1978 (Young) cohort, the 1946-1951 (Mid-age) cohort, and the 1921-1926 (Old-age) cohort. Each cohort received a different questionnaire, which varied in the types of questions asked. In essence, the surveys covered issues regarding overall physical and emotional health, use of health services, education and employment status, drug and/or alcohol use, diet, exercise, and family situation. The Australian Longitudinal Study on Women's Health is managed by staff and investigators at the Priority Research Centre for Gender, Health and Ageing at, The University of Newcastle, and staff and investigators at the University of Queensland. Steering Committee 2011 includes: - Prof Annette Dobson (Study Director) Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - Prof Julie Byles (Study Co-Director) Affiliation: Priority Research Centre for Gender, Health and Ageing, The University of Newcastle - Prof Wendy Brown Affiliation: School of Human Movement Studies, University of Queensland - Prof Christina Lee Affiliation: School of Psychology, University of Queensland - Dr Deborah Loxton (Deputy Director UON) Affiliation: Priority Research Centre for Gender, Health and Ageing, The University of Newcastle - A/Prof Jayne Lucke Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - Prof Gita Mishra Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - A/Prof Nancy Pachana Affiliation: School of Psychology, University of Queensland - A/Prof David Sibbritt Affiliation: School of Medicine and Public Health, University of Newcastle - Dr Leigh Tooth (Project Co-ordinator) Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland

This dataset refers to medication use of women, which was collected at wave five of the 1946-1951 (Mid-age) cohort. ALSWH began in 1996, and consisted of three cohorts; the 1973-1978 (Young) cohort, the 1946-1951 (Mid-age) cohort, and the 1921-1926 (Old-age) cohort. Each cohort received a different questionnaire, which varied in the types of questions asked. In essence, the surveys covered issues regarding overall physical and emotional health, use of health services, education and employment status, drug and/or alcohol use, diet, exercise, and family situation. The Australian Longitudinal Study on Women's Health is managed by staff and investigators at the Priority Research Centre for Gender, Health and Ageing at, The University of Newcastle, and staff and investigators at the University of Queensland. Steering Committee 2011 includes: - Prof Annette Dobson (Study Director) Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - Prof Julie Byles (Study Co-Director) Affiliation: Priority Research Centre for Gender, Health and Ageing, The University of Newcastle - Prof Wendy Brown Affiliation: School of Human Movement Studies, University of Queensland - Prof Christina Lee Affiliation: School of Psychology, University of Queensland - Dr Deborah Loxton (Deputy Director UON) Affiliation: Priority Research Centre for Gender, Health and Ageing, The University of Newcastle - A/Prof Jayne Lucke Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - Prof Gita Mishra Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland - A/Prof Nancy Pachana Affiliation: School of Psychology, University of Queensland - A/Prof David Sibbritt Affiliation: School of Medicine and Public Health, University of Newcastle - Dr Leigh Tooth (Project Co-ordinator) Affiliation: School of Population Health, Faculty of Health Sciences, University of Queensland