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: 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 255,100.000 Person in Jun 2024. This records an increase from the previous number of 254,354.000 Person for Mar 2024. Australia Population: Resident: Estimated: Northern Territory data is updated quarterly, averaging 201,781.000 Person from Jun 1981 (Median) to Jun 2024, with 173 observations. The data reached an all-time high of 255,100.000 Person in Jun 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.

The report provides statistics on all cancers and each cancer site or site group for the entire NT population; for males and females; and for Indigenous and non-Indigenous populations. Equivalent summary statistics for the total Australian population are included for comparison. To allow comparison within the NT population and with the wider Australian population, the incidence and mortality rates are age-adjusted because the age distribution of the NT population is much younger than the total Australian population. Statistical modelling analysis is used to investigate trends of cancer incidence and mortality over time.

125.122 (persons) in 2023.

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.

33,4 (years) in 2021.

Here we provide a catalogue of variants called after sequencing the exomes of 50 Aboriginal individuals from the Northern Territory (NT) of Australia and compare these to 72 previously published exomes from a Western Australian (WA) population of Martu origin. Sequence data for both NT and WA samples were processed using an ‘intersect-then-combine’ (ITC) approach, using GATK and SAMtools to call variants. The data is provided as 2 VCF files, one for the WA population and one for the NT population.

246 989 (Persons) в 2018Q3.

0,44 (%) in 2023Q1.

Australia Population Change: Net Overseas Migration: Northern Territory data was reported at 810.000 Person in Jun 2024. This records a decrease from the previous number of 869.000 Person for Mar 2024. Australia Population Change: Net Overseas Migration: Northern Territory data is updated quarterly, averaging 247.000 Person from Jun 1981 (Median) to Jun 2024, with 173 observations. The data reached an all-time high of 1,375.000 Person in Jun 2015 and a record low of -363.000 Person in Dec 2018. Australia Population Change: Net Overseas Migration: 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.

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.

人口：居民：估计：年度：北部地区：大达尔文 在06-01-2017达148,884.000人，相较于06-01-2016的147,102.000人有所增长。人口：居民：估计：年度：北部地区：大达尔文 数据按年更新，06-01-2006至06-01-2017期间平均值为131,105.500人，共12份观测结果。该数据的历史最高值出现于06-01-2017，达148,884.000人，而历史最低值则出现于06-01-2006，为113,461.000人。CEIC提供的人口：居民：估计：年度：北部地区：大达尔文 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。

This dataset presents the projected enrolled population at 22 August 2020 for the Northern Territory (NT) by Legislative Assembly (LA) division areas and 2016 Australian Statistical Geography Standards (ASGS) Statistical Area Level 1 (SA1). Projected elector numbers are prepared by the Australian Bureau of Statistics (ABS) according to assumptions reflecting prevailing trends agreed to by the Northern Territory Electoral Commission. This projection is indicative of future population trends and is not official ABS population statistics. In the instance where an SA1 is divided between two or more LA divisions, the SA1 index will appear on multiple rows in the file. An individual row in the file will represent elector numbers for a whole or partial SA1 as it relates to any given LA division boundary. For more information please visit the Northern Territory Government Open Data Portal and read the ABS Projection Assumptions Document. Please note: Members of the Legislative Assembly that reside outside their electoral division are not represented in this dataset.

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

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 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.2. 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.3. 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.4. 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.

1. The development of effective fire management for biodiversity conservation is a global challenge. The highly dynamic nature of fire, the difficulty in replicating 'real-world' fire experiments, and the need to understand population changes at large spatiotemporal scales make computer simulations particularly useful for identifying optimal fire management regimes for biodiversity conservation.

2. We aimed to develop a flexible modelling approach with which to investigate how the spatiotemporal application of fire (i.e. management scenarios) influences savanna biodiversity. We used existing data from a landscape-scale fire experiment to develop population simulations for the common brushtail possum (Trichosurus vulpecula), grassland melomys (Melomys burtoni) and northern brown bandicoot (Isoodon macrourus) across the Kapalga area of Kakadu National Park in northern Australia. We simulated how populations were expected to change between 1995 and 2015 in response to the fire patterns observed at Kapalga over this period, and under a hypothetical management scenario of extensive prescribed burning.

3. Our models predicted a substantial decline in all three species in response to the observed fire regime at Kapalga, suggesting that the fire patterns observed at Kapalga, with the associated mechanisms and interactions with other ecological processes, were not conducive with the persistence of native mammal populations.

4. Our prescribed burning scenario had little effect on the predicted population trajectory of the common brushtail possum and grassland melomys, but markedly improved the population trajectory of the northern brown bandicoot. These inconsistencies highlight the need for a nuanced approach to fire management across northern Australian savannas, that is tailored to local conditions and management objectives.

5. Synthesis and applications. The modelling approach outlined here, provides a basis for identifying fire patterns that are beneficial for conserving biodiversity, thereby increasing our capacity to establish clear targets for prescribed fire management. Importantly, this approach is flexible and can be easily adapted to other taxa and fire-prone ecosystems.

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.

A study of the population genetics of the prawn Penaeus monodon in northern and eastern Australian waters. Mitochondrial D-loop DNA (and Restriction Fragment Length Polymorphism - RFLP) were used to …Show full descriptionA study of the population genetics of the prawn Penaeus monodon in northern and eastern Australian waters. Mitochondrial D-loop DNA (and Restriction Fragment Length Polymorphism - RFLP) were used to estimate connectivity and dispersal between populations which range through locations in Western Australia, Northern Territory, Queensland and New South Wales. Statistical analyses and clustering procedures were carried out.Collection of samples were from 6 locations throughout the species range in Australia: Townsville, Cairns, Weipa, Melville Island, Joseph Bonaparte Gulf, De Grey River.Some comparison was made with Indonesian and South African samples, see separate metadata record.Microsatellite markers were used in a further study of genetic variation among the Australian populations above. To estimate connectivity and dispersal between Penaeus monodon populations in northern and eastern Australia.To compare results with genetic analyses using allozymes. Separate metadata records apply for data relating to the genetic analyses using allozymes of Penaeus monodon from Australian waters and South Africa.