As of June 2023, in the Northern Territory of Australia, about 9.7 percent of the population was between 30 and 34 years old. In comparison, just 0.6 percent of the population was over the age of 85.

Australia Population Change: Natural Increase: Northern Territory data was reported at 530.000 Person in Sep 2024. This records a decrease from the previous number of 593.000 Person for Jun 2024. Australia Population Change: Natural Increase: Northern Territory data is updated quarterly, averaging 686.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 858.000 Person in Jun 2012 and a record low of 365.000 Person in Dec 2023. Australia Population Change: Natural Increase: Northern Territory 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.G003: Population Change.

Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data was reported at 148,884.000 Person in 2017. This records an increase from the previous number of 147,102.000 Person for 2016. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin data is updated yearly, averaging 131,105.500 Person from Jun 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 148,884.000 Person in 2017 and a record low of 113,461.000 Person in 2006. Australia Population: Resident: Estimated: Annual: Northern Territory: Greater Darwin 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.

In the Northern Territory in Australia, about 1.66 children were born per woman in the period of 2022-2023. This figure represents a slight increase compared to the previous year.

Australia Population: Resident: Estimated: Northern Territory data was reported at 255,559.000 Person in Sep 2024. This records an increase from the previous number of 255,069.000 Person for Jun 2024. Australia Population: Resident: Estimated: Northern Territory data is updated quarterly, averaging 201,830.500 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 255,559.000 Person in Sep 2024 and a record low of 122,616.000 Person in Jun 1981. Australia Population: Resident: Estimated: Northern Territory 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.

As of December 2023, the proportion of the Australian population that lived in New South Wales amounted to 31.3 percent. The Northern Territory had the least number of residents in the country, with less than one percent of the population residing there.

Australia Population: Resident: Estimated: Male: State: Northern Territory data was reported at 129,604.000 Person in Sep 2024. This records an increase from the previous number of 129,254.000 Person for Jun 2024. Australia Population: Resident: Estimated: Male: State: Northern Territory data is updated quarterly, averaging 105,553.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 129,604.000 Person in Sep 2024 and a record low of 65,393.000 Person in Jun 1981. Australia Population: Resident: Estimated: Male: State: Northern Territory 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.

Australia Population Change: Change Over Previous Quarter: Northern Territory data was reported at 490.000 Person in Sep 2024. This records a decrease from the previous number of 685.000 Person for Jun 2024. Australia Population Change: Change Over Previous Quarter: Northern Territory data is updated quarterly, averaging 745.000 Person from Sep 1981 (Median) to Sep 2024, with 173 observations. The data reached an all-time high of 2,570.000 Person in Sep 1981 and a record low of -1,086.000 Person in Dec 2018. Australia Population Change: Change Over Previous Quarter: Northern Territory 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.G003: Population Change.

Sources: [17], [18], [22], [36], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51].

BackgroundThe Indigenous population of Australia suffers considerable disadvantage across a wide range of socio-economic indicators, and is therefore the focus of many policy initiatives attempting to ‘close the gap’ between Indigenous and non-Indigenous Australians. Unfortunately, past population estimates have proved unreliable as denominators for these indicators. The aim of the paper is to contribute more robust estimates for the Northern Territory Indigenous population for the period 1966–2011, and hence estimate one of the most important of socio-economic indicators, life expectancy at birth.MethodA consistent time series of population estimates from 1966 to 2011, based off the more reliable 2011 official population estimates, was created by a mix of reverse and forward cohort survival. Adjustments were made to ensure sensible sex ratios and consistency with recent birth registrations. Standard life table methods were employed to estimate life expectancy. Drawing on an approach from probabilistic forecasting, confidence intervals surrounding population numbers and life expectancies were estimated.ResultsThe Northern Territory Indigenous population in 1966 numbered between 23,800 and 26,100, compared to between 66,100 and 73,200 in 2011. In 1966–71 Indigenous life expectancy at birth lay between 49.1 and 56.9 years for males and between 49.7 and 57.9 years for females, whilst by 2006–11 it had increased to between 60.5 and 66.2 years for males and between 65.4 and 70.8 for females. Over the last 40 years the gap with all-Australian life expectancy has not narrowed, fluctuating at about 17 years for both males and females. Whilst considerable progress has been made in closing the gap in under-five mortality, at most other ages the mortality rate differential has increased.ConclusionsA huge public health challenge remains. Efforts need to be redoubled to reduce the large gap in life expectancy between Indigenous and non-Indigenous Australians.

The Darwin urban centre consists of Darwin City and the associated suburbs from Buffalo Creek, Berrimah and East Arm westwards, and represents approximately 35% of the Northern Territory’s population. The Darwin region falls within the NT Police Darwin Metropolitan Command. The offence data were extracted from the NT Police PROMIS system. Offence rates have been calculated using the latest available estimated resident population data from the Australian Bureau of Statistics (Australian Demographic Statistics, cat. 3101.0, with regional splits based on Regional Population Growth, Australia, 2012, cat. 3218.0). Data requests can be submitted for data not available on the website.

Summarises all available aerial survey data and metadata used to characterise the long-term distribution and abundance of magpie geese in the Northern Territory undertaken by different institutions and publically available in several journals (Appendix A). Summarised also are results from a PhD study (E. Ligtermoet) documenting the cultural harvesting values of magpie geese ascertained by interviews with Kakadu Traditional Owners (2011-2015).
Lineage: Historical aerial survey data of magpie geese and their nests in the Kakadu Region (1981-2006) of the NT are used to characterise their seasonal use of floodplains in order to identify abundance “hotspots” for future site-specific management purposes. Decadal trends in abundance (1958-2000) were examined also in relation to trends in rainfall and global-scale interactions between the ENSO and PDO climate indices. Customary harvesting practices of magpie geese and their eggs were ascertained from interviews of Kakadu Traditional Owners as part of a PhD study (2011-2016) in help manage future threats in a socio-ecological context.

The data collection here comprise the Supplementary Material for the publication:

Bayliss, P., and Ligtermoet, E. (2016 in press). Seasonal habitats, decadal trends in abundance and cultural values of magpie geese (Anseranus semipalmata) on coastal floodplains in the Kakadu Region, Northern Australia. Journal of Marine and Freshwater Research. Published online. Kakadu Special Issue.

Appendix A: Magpie goose aerial survey metadata and data used in spatial and temporal analyses.

Table A1. Metadata for aerial surveys of magpie geese and their nests in the Kakadu Region (1981‐2003).

Table A2. Indirect cross calibration of population estimates of magpie geese derived by Tulloch and McKean (1983) with those derived by Morton et al. (1990) and the NT Parks and Wildlife Commission (Bayliss and Yeomans 1990a; NTPWC 2003; Delaney et al. 2009) in the Kakadu Region.

Table A3. Estimates of magpie geese population size in the Western ‘Top End’ of the Northern Territory, source of data and corrections applied to standardise data between the Tulloch and McKean (1983) time series (1958-1980) and subsequent surveys conducted by the NT Parks and Wildlife Commission (1983-1999).

Appendix B: Cultural harvesting values of magpie geese in the Kakadu Region.

Table B1. Respondent comments illustrating the diverse attributions of causality to changes in magpie goose abundance (data from E. Ligtermoet PhD thesis submitted).

All population data are in the public domain (published papers and reports as referenced). Data were acquired in the Oceans and Atmosphere Business Unit, Coastal Development and Management Program. Data in Appendix B are from a PhD study by E. Ligtermoet (co-author on the above paper) and submitted here as her contribution to the paper. Both authors have signed a licence to publish with the Journal of Marine and Freshwater Research.

As of June 2023, there were approximately 8.33 million residents in the New South Wales region in Australia. In comparison, there were around 252 thousand residents in the Northern Territory region.

BackgroundIndigenous populations globally are disproportionately affected by chronic hepatitis B virus (HBV) infection however contemporary sero-prevalence data are often absent. In the Indigenous population of the Northern Territory (NT) of Australia the unique C4 sub-genotype of HBV universally circulates. There are no studies of the sero-prevalence, nor the impact of the vaccination program (which has a serotype mismatch compared to C4), at a population-wide level.MethodsWe examined all available HBV serology results obtained from the three main laboratories serving NT residents between 1991 and 2011. Data were linked with a NT government database to determine Indigenous status and the most recent test results for each individual were extracted as a cross-sectional database including 88,112 unique individuals. The primary aim was to obtain a contemporary estimate of HBsAg positivity for the NT by Indigenous status.ResultsBased on all tests from 2007–2011 (35,633 individuals), hepatitis B surface antigen (HBsAg) positivity was 3·40% (95%CI 3·19–3·61), being higher in Indigenous (6·08%[5·65%-6·53%]) than non-Indigenous (1·56%[1·38%-1·76%]) Australians, p

In 2022, the share of Aboriginal and Torres Strait Islander people in Australia's prison system was 31.8 percent. In the Northern Territory, Indigenous people made up 87 percent of the prisoner population that year.

A total of 1737 Pinctada maxima samples were collected from eight distinct populations, six in Australia and two in Indonesia. The Australian populations were sampled from Darwin in the Northern …Show full descriptionA total of 1737 Pinctada maxima samples were collected from eight distinct populations, six in Australia and two in Indonesia. The Australian populations were sampled from Darwin in the Northern Territory and the Lacepede Islands, 80 Mile Beach - shallow water, 80 Mile Beach - deep water, Port Hedland and Exmouth Gulf in Western Australia. The Indonesian populations were sampled from Madura Island and Sumbawa Island.

Samples of both adductor muscle and mantle tissue were collected from Pinctada maxima oysters of various sizes aboard pearling industry vessels in Western Australia and the Northern Territory, between February 1998 and November 1999. Whole shell samples from the Indonesian sites, collected in November 1999, were delivered by road to Gondol Fisheries Station and held in flowing sea water tanks prior to dissection.

The entire soft tissues from small spat were removed from the shell. Samples were either snap frozen in liquid nitrogen or preserved in 70% ethanol immediately following collection.

Assays were developed for eight highly variable microsatellites markers and an mtDNA marker for rapid assessment of genetic variation in pearl oysters. These assays were used to screen the eight populations of P. maxima (including different juvenile age classes for the Western Australian and Northern Territory populations). It was demonstrated that the Western Australian populations belong to one stock with large effective population sizes and have little or no recruitment from Indonesia and a reasonable degree of exchange with Northern Territory. A basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks was developed.

Successful description of the population genetic structure for different age classes of Pinctada maxima in Western Australia and Northern Territory has provided a basis for improved maintenance of a productive and valuable fishery through improved stock definition and determination of levels of dispersal among populations. The development of highly variable DNA markers provides a base technology to assist the choice of sources of broodstock for hatcheries and future management of cultured populations as the Pearling Industry increasingly relies on hatchery produced spat. The objectives of this research were: 1. To develop assays for regions of highly variable DNA (microsatellites) and mtDNA markers for rapid assessment of genetic variation in pearl oysters.

1. To survey up to eight populations of P. maxima throughout the Western Australian coast, including different juvenile age classes, using up to ten highly variable markers.

2. To infer the level of dispersal between populations and the effective population size contributing to the next generation from the genetic data and identify the management implications of these data.

3. To develop the basic technology for assessment of genetic variation in spat and for future use in improving cultured pearl oyster stocks. Initially two sites were collected in each of 80 Mile shallow and 80 Mile deep populations. The 80 Mile shallow collections were made almost continuously between ten and eighteen mile beach and the subsets were fused into one sample. The 80 Mile deep collections were made from Cape Bossut and Compass Rose sites, the latter being more offshore than the former. These two sites showed no significant microsatellite frequency differences and were also fused.

In 1998, samples were collected from Australian waters only and consisted of animals from three different year classes defined by dorso-ventral shell length, 0+ spat (1-60mm), 1+ spat (61- 120mm) and adults (>120 mm). In 1999 a second set of 0+ and 1+ spat were collected from four of the Western Australian populations (the Lacepede Islands, 80 Mile Beach, Port Hedland and Exmouth Gulf) to allow a comparison of gene frequencies for a single cohort over two successive years.

Charles Darwin University and the Northern Territory (NT) Department of Industry, Tourism and Trade (DITT) Fisheries Division used genetic data to investigate the population structure of two small tropical shark species (Milk Shark [Rhizoprionodon acutus] and Australian Blackspot Shark [Carcharhinus coatesi]), which are caught as bycatch from commercial fisheries in the NT. The aim of this study was to gain information on the genetic stock structure to inform the future management of these two species in the NT. This project was conducted in parallel with a PhD project investigating the biology and ecology of both species for applications to fisheries management. There is motivation by the NT Government to develop these two shark species into a commercial product. This project used genetic analysis to understand the patterns of connectivity of populations of these two shark species in NT waters and adjacent regions, including Northern Western Australia and Papua New Guinea. Background These two shark species that are captured as bycatch in the NT Demersal Trawl fishery have the potential to be developed into a byproduct to add value to that fishery. A sustainable commercial harvest of these two species could greatly reduce the waste from fisheries, where they are currently abundant and caught in relatively large numbers. We address current knowledge gaps in biological information about populations of R. acutus and C. coatesi to inform the potential development of a byproduct fishery for these two species in the NT. Aims Our research aimed to: · identify the genetic population structure for R. acutus and C. coatesi in NT waters · develop capacity for genetic research and monitoring of shark species in the NT · provide baseline information on genetic structure to inform potential genetic monitoring of these species, including initial estimates of effective population size. Methods We used single-nucleotide polymorphism genetic analyses to measure genetic structure among R. acutus and C. coatesi samples obtained from commercial trawl fishing in NT waters between May 2018 and November 2019. Our aim was to determine whether the two species each occur as a single population in NT waters or as a set of discrete populations that may warrant separate monitoring and management. We also analysed samples of these species from Western Australia and Papua New Guinea to provide broader context for the degree of genetic differentiation among the samples from different regions in the NT. Our secondary aim was to provide a baseline for deciding whether genetic estimates of effective population size could be used to monitor trends in abundance of these species, and whether samples from across the NT could be combined for the genetic estimation of effective population size for this purpose. Results Genetic data from R. acutus and C. coatesi strongly suggest that each species exists as a single, highly connected population in the NT. Genetic differentiation among the sampling locations for each species was low, and genetic clustering analyses provided strong support for a single population of each species in the region. Sharks of both species captured within a single location (within 50 km of one another) were more genetically related than those further apart; however, this does not constitute evidence for multiple, spatially discrete populations of either species in NT waters. Preliminary applications of effective population size estimators were used, but further work is needed to determine if these can be used to indicate trends in abundance. Implications for relevant stakeholders The immediate implications of our research are for fisheries scientists and managers from NT DITT. Our results indicate that these two shark species can be monitored and managed in the NT under the assumption that each species occurs as a single population in this region. Further information relevant to shorter-term movements of individuals may refine management strategies for the two species. Our research has potential implications for commercial fishers, particularly from the Demersal Trawl Fishery and Australia Bay Seafoods company. Currently, those implications are indirect, as the information from our research will flow through to the industry by contributing to the information required to develop a byproduct fishery for the two species, mitigating bycatch and increasing economic return. Recommendations Future research could develop genetic methods, such as effective population size or close-kin mark-recapture, for population monitoring. Comparing the genetic data against other data that indicate individual movement patterns on shorter timescales would help develop a holistic understanding of shark movement and population connectivity to inform sustainable harvest strategies.

A study of population mobility and party allegiance in the urban population of the Northern Territory was carried out in order to examine whether Territorians see themselves as being 'different' and are in fact different to other Australians, with consequent political implications. Topics investigated include past and present voting preferences; attitudes towards political parties, their leaders and their policies; attitudes towards class mobility and conflict; perceived power groups; and problems facing the Northern Territory. Background variables include age; sex; country of origin; state of origin; racial identification; marital status; occupation of self, spouse, parents and parents-in-law; duration of NT residence; union membership, club and association membership; level of education; religion.

This dataset presents the footprint of the percentage of adults who needed to see a GP but did not in the preceding 12 months. The data spans the years of 2013-2017 and is aggregated to 2015 …Show full descriptionThis dataset presents the footprint of the percentage of adults who needed to see a GP but did not in the preceding 12 months. The data spans the years of 2013-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014- 15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion. Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population. Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN. The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities). Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings. Rows that contain a "#" in "Interpret with Caution" indicates that the estimate has a relative standard error of 25% to 50%, which indicates a high level of sampling error relative to its value and must be taken into account when comparing this estimate with other values. NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)

This dataset presents the footprint of the percentage of adults who saw three or more health professionals for the same condition in the preceding 12 months. The data spans the years of 2014-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. …Show full descriptionThis dataset presents the footprint of the percentage of adults who saw three or more health professionals for the same condition in the preceding 12 months. The data spans the years of 2014-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014- 15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data. As an indication of the accuracy of estimates, 95% confidence intervals were produced. These were calculated by the ABS using standard error estimates of the proportion. Some of the patient experience measures for 2016-17 have age-standardised rates presented. Age-standardised rates are hypothetical rates that would have been observed if the populations studied had the same age distribution as the standard population. Crude rates are provided for all years. They should be used for understanding the patterns of actual service use or level of experience in a particular PHN. The Patient Experience Survey excludes persons aged less than 15 years, persons living in non-private dwellings and the Indigenous Community Strata (encompassing discrete Aboriginal and Torres Strait Islander communities). Data for Northern Territory should be interpreted with caution as the Patient Experience Survey excluded the Indigenous Community Strata, which comprises around 25% of the estimated resident population of the Northern Territory living in private dwellings. NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null. Copyright attribution: Government of the Commonwealth of Australia - Australian Institute of Health and Welfare, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)