The Northern Territory population projections are estimates of the future size and characteristics of the Territory population, and have been developed to assist Northern Territory Government agencies, non-government organisations and business to plan service delivery across the Territory.

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 Change: Net Interstate Migration: Northern Territory data was reported at -800.000 Person in Sep 2024. This records a decrease from the previous number of -657.000 Person for Jun 2024. Australia Population Change: Net Interstate Migration: Northern Territory data is updated quarterly, averaging -264.500 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 1,806.000 Person in Jun 1981 and a record low of -1,189.000 Person in Dec 2023. Australia Population Change: Net Interstate 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.

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.

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.

Population by Age Group, Gender and Community 2021

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.

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.

This portal contains datasets released openly by Northern Territory Government agencies. To request a dataset that is not already published, please email us with as much detail as possible to assist in locating and providing the data. Open data is data that anyone can access, use and share. The real value of data greatly increases when it is shared, enabling greater benefits to be generated for the community. The Northern Territory Government recognises that the data it collects and creates is a strategic asset that can realise value when it is made available for analysis. Businesses and individuals can use government’s open data to create innovation, for research or simply to be more informed. The NTG Open Data Portal provides non-sensitive government information only. Personal or identifiable information will always be protected and will never be released. When using licensed content under a Creative Commons Licence, you are required to attribute the work in the manner specified in the licence (but not in any way that suggests that the Northern Territory Government endorses you or your use of the work). The Northern Territory Government requires that you use the following form of attribution: Attribution to: Organisation name, Northern Territory, title of dataset, date the content was sourced, dataset URL Example: Department of Treasury and Finance, Northern Territory, NT Population Projections_, Sourced on 22 July 2018, https://treasury.nt.gov.au/ If you experience technical problems, please contact us

Population: Resident: Estimated: Female: State: Northern Territory data was reported at 125,955.000 Person in Sep 2024. This records an increase from the previous number of 125,815.000 Person for Jun 2024. Population: Resident: Estimated: Female: State: Northern Territory data is updated quarterly, averaging 96,225.000 Person from Jun 1981 (Median) to Sep 2024, with 174 observations. The data reached an all-time high of 125,955.000 Person in Sep 2024 and a record low of 57,223.000 Person in Jun 1981. Population: Resident: Estimated: Female: 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.

This dataset presents the Northern Territory (NT) elector numbers as at 15 February 2019 against 2016 Australian Statistical Geography Standard (ASGS) Statistical Area Level 1 (SA1) indexes and NT Legislative Assembly (LA) division names.

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.

Please note:

• Members of the Legislative Assembly that reside outside their electoral division are not represented in this dataset.

Community Population by Detailed Ethnicity, 2022

NWT Population with and without disabilities by Sex and Age Group

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.

0,44 (%) in 2023Q1.

Probability values of population assignments for samples K = 2. The population Q matrix derived from STRUCTURE clustering analysis show the inferred ancestry membership proportions of each individual, in each cluster. Each individual is represented by a single vertical line, partitioned into K colored segments that represents that individual’s estimated membership fraction in each of the K inferred clusters. The X axis corresponds to the pre-defined populations (TL, PNG, QLD, NT and NSW) and the Y axis represents the proportional estimates of the estimated membership in clusters which add up to one. (TXT 11 kb)

The aboriginal populations chart shows the composition of the aboriginal population in a municipality.

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.

Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 subpopulations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth (λ). We used these predictions to project population trends through 2090. Projections incorporated downscaled climatic data matched to pronghorn range for each population, given a high and a lower atmospheric CO2 concentration scenario. Since the 1990s, 15 of the pronghorn subpopulations declined in abundance. Sixteen subpopulations demonstrated a significant relationship between precipitation and λ, and in 13 of these, temperature was also significant. Precipitation predictors of λ were highly seasonal, with lactation being the most important period, followed by early and late gestation. The influence of temperature on λ was less seasonal than precipitation, and lacked a clear temporal pattern. The climatic projections indicated that all of these pronghorn subpopulations would experience increased temperatures, while the direction and magnitude of precipitation had high subpopulation-specific variation. Models predicted that nine subpopulations would be extirpated or approaching extirpation by 2090. Results were consistent across both atmospheric CO2 concentration scenarios, indicating robustness of trends irrespective of climatic severity. In the southwestern United States, the climate underpinning pronghorn subpopulations is shifting, making conditions increasingly inhospitable to pronghorn persistence. This realization informs and steers conservation and management decisions for pronghorn in North America, while exemplifying how similar research can aid ungulates inhabiting arid regions and confronting similar circumstances elsewhere. Long-term data from annual aerial surveys of pronghorn subpopulations in Utah, Arizona, New Mexico, and western Texas were used to calculate annual rates of population growth (λ). When subpopulation-specific harvest and translocation data were available, population estimates for calculating λ were adjusted according to the following equation: λt = Nt/(Nt-1 - h - r + a), where λt is population change from time t-1 to t, Nt and Nt-1 are population estimates from current and previous surveys, respectively, h is number of pronghorn harvested, and r and a are number of individuals removed from and released into the population, respectively, through translocations. Only population estimates from surveys conducted in consecutive years were used to calculate λ. If λ = 2, the associated surveys were removed from analyses because λ would be considered to be derived from unreliable or unstandardized population estimates, resulting in biologically unrealistic population growth rates. Monthly climate data (precipitation [mm/day] and mean temperature [degrees C]) were from 14 x 14 km cells from pronghorn range in each subpopulation in Utah, Arizona, New Mexico, and western Texas. Means across grids were calculated to obtain monthly values of precipitation and temperature. Two realistic future global climate scenarios were compared; a lower (Representative Concentrations Pathways 4.5) and a high (Representative Concentrations Pathways 8.5) atmospheric CO2 concentration scenario. Standardized precipitation index for 3-, 6-, 12-, and 24-month periods were calculated from all available monthly precipitation data using program SPI SL 6 (National Drought Mitigation Center 2014). Monthly mean temperature, total precipitation, and mean SPI (3-, 6-, and 12-month periods) were summarized by important periods in an adult female pronghorn's annual reproductive cycle relative to peak fawning (i.e., early, mid-, and late gestation [3 months each] and lactation [4 months]). Mean temperature and total precipitation were also calculated for 12 and 24 months preceding each population survey. Historic pronghorn population trends in relation to temperature and precipitation were assessed using integrated Bayesian population models. All models included a covariate for density effect (i.e., population in the previous year). Precipitation and temperature model comparison sets were run separately, and each model set included a null model (i.e., only density covariate, no climate covariates). These top individual precipitation and temperature covariates were then combined in models (i.e., one precipitation and temperature covariate per model), and these combined models were run including a term for the interaction between precipitation and temperature using the following equation: ln(λt) = Alpha + Beta1XN[t-1] + Beta2Xprec + Beta3Xtemp + Beta4Xprec*temp. Projected climate data for each pronghorn subpopulation was used to predict λt for each year to 2090. An integrated modeling approach was used, whereby the best performing model climatic predictors from historic population trends for each pronghorn subpopulation was embedded in that subpopulation pronghorn population projection model.