This statistic shows the share of ethnic groups in Australia in the total population. 33 percent of the total population of Australia are english.

Australia’s population

Australia’s ethnic diversity can be attributed to their history and location. The country’s colonization from Europeans is a significant reason for the majority of its population being Caucasian. Additionally, being that Australia is one of the most developed countries closest to Eastern Asia; its Asian population comes as no surprise.

Australia is one of the world’s most developed countries, often earning recognition as one of the world’s economical leaders. With a more recent economic boom, Australia has become an attractive country for students and workers alike, who seek an opportunity to improve their lifestyle. Over the past decade, Australia’s population has slowly increased and is expected to continue to do so over the next several years. A beautiful landscape, many work opportunities and a high quality of life helped play a role in the country’s development. In 2011, Australia was considered to have one of the highest life expectancies in the world, with the average Australian living to approximately 82 years of age.

From an employment standpoint, Australia has maintained a rather low employment rate compared to many other developed countries. After experiencing a significant jump in unemployment in 2009, primarily due to the world economic crisis, Australia has been able to remain stable and slightly increase employment year-over-year.

Quarterly estimates of total resident population for states, territories and Australia. Includes estimates of the population by sex in five-year age groups; numbers (and some rates) of births, …Show full descriptionQuarterly estimates of total resident population for states, territories and Australia. Includes estimates of the population by sex in five-year age groups; numbers (and some rates) of births, deaths, infant deaths, interstate and overseas movements; quarterly and/or annual time series spreadsheets; projected resident population for states, territories and Australia; and projected number of households for capital cities, states territories and Australia.

According to a survey conducted in Australia in 2022, approximately seven in ten respondents agreed or strongly agreed that the country is better off because it has many racial and cultural groups. The share of respondents with this opinion has increased by close to ten percent since 2014.

Contains demographic profile information from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on the top 12 countries of birth for residents.

This data has been derived from the ABS Census TableBuilder online data tool (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

In 2023, 89 percent of those surveyed thought that multiculturalism was good for Australia. 78 percent of respondents also agreed that immigrant diversity makes Australia a stronger nation.

Australia Population: Total data was reported at 26,658,948.000 Person in 2023. This records an increase from the previous number of 26,014,399.000 Person for 2022. Australia Population: Total data is updated yearly, averaging 17,381,335.500 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 26,658,948.000 Person in 2023 and a record low of 10,276,477.000 Person in 1960. Australia Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.;(1) United Nations Population Division. World Population Prospects: 2024 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics; (4) United Nations Statistics Division. Population and Vital Statistics Report (various years).;Sum;Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

In a survey conducted in 2021 about video gaming in Australia, 60 percent of the respondents agreed that games needed more diversity in accessibility and inclusion. An almost equal share of respondents stated that video games needed more diversity in age.

Civilian Population: Married: 15 Years & Over: Female: 35-44 Years data was reported at 1,489.116 Person th in Jan 2025. This records a decrease from the previous number of 1,499.149 Person th for Dec 2024. Civilian Population: Married: 15 Years & Over: Female: 35-44 Years data is updated monthly, averaging 1,105.174 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,499.149 Person th in Dec 2024 and a record low of 686.817 Person th in Apr 1978. Civilian Population: Married: 15 Years & Over: Female: 35-44 Years 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.G001: Civilian Population: by Age, Sex and Status.

Civilian Population: 15 Years & Over: Male: 25-29 Years data was reported at 1,027.468 Person th in Jan 2025. This records an increase from the previous number of 1,024.726 Person th for Dec 2024. Civilian Population: 15 Years & Over: Male: 25-29 Years data is updated monthly, averaging 701.207 Person th from Feb 1978 (Median) to Jan 2025, with 564 observations. The data reached an all-time high of 1,027.468 Person th in Jan 2025 and a record low of 579.783 Person th in Feb 1978. Civilian Population: 15 Years & Over: Male: 25-29 Years 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.G001: Civilian Population: by Age, Sex and Status.

These information sheets provide statistics and trends in employment participation and workforce demographics. There is no 'typical' picture of someone engaged or employed in our primary industries.Show full descriptionThese information sheets provide statistics and trends in employment participation and workforce demographics. There is no 'typical' picture of someone engaged or employed in our primary industries. The Australian agricultural, fisheries and forestry workforce is made up of a diverse range of people of varying ages, genders, cultural backgrounds who contribute significantly to these primary industries. In addition to being an important source of labour, women, youth, Indigenous and culturally and linguistically diverse people have been fundamental to the sustainability, competiveness and productivity of primary industries in Australia over many years.

The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.

These data are spatial layers of predicted patterns in plant community diversity across Australia, as presented and described in full in Mokany et al. (2022). The layers represent spatial predictions from models of plant community species richness and plant community compositional dissimilarity. The plant diversity models utilised data from 115,086 plant community survey plots across Australia, and environmental predictors from fine resolution (3 arc-second; ≈90m) spatially complete layers. The models were projected across Australia and the resulting layers provided here. The original spatial layers were also aggregated to courser spatial resolutions (0.0025° (≈250m) and 0.01° (≈1km)) which are also provided here, for applications that require smaller data files. Two additional spatial layers are also provided, synthesising the diversity model projections: (i) compositional uniqueness; (ii) diversity importance (both only provided at 0.01° (≈1km) resolution). Lineage: Methods The methods used to generate these data are described in full in Mokany et al. (2022). In summary, 115,083 plant community survey plots from the HAVPlot dataset (Mokany et al. 2022b) were selected and used as the basis for modelling native plant species richness and compositional dissimilarity.

Observed species richness values in each plot were scaled to a common area of 400 m2 using the species-area power model (S = cAz) with a scalar (z) value of 0.25 used for all plots. The scaled species richness was then modelled as a function of nine environmental predictor variables using Generalized Additive Modelling, with the model explaining 33.0 % of the deviance in species richness. The model was then projected across Australia at 3 arc-second resolution (≈90m) using spatially complete predictor layers. The predicted species richness values were aggregated to 0.0025° (≈250m) and 0.01° (≈1km) spatial grids, using the mean of the finer resolution grid cell values.

Observed compositional dissimilarities (Sorensen’s) between pairs of plots were scaled to a common area of 400 m2 using the species-area power model, with a scalar (z) value of 0.25 used for the species richness of each plot, and a scalar (z) value of 0.4 used for the number of shared species between two plots (Mokany et al . 2013). The scaled compositional dissimilarity was then modelled as a function of eight environmental predictor variables and geographic distance, using Generalized Dissimilarity Modelling (GDM), with the model explaining 32.7 % of the deviance in compositional dissimilarity (intercept = 1.3). The model was then projected across Australia at 3 arc-second resolution (≈90m) using spatially complete predictor layers. The GDM transformed spatial layers for each predictor were aggregated to 0.0025° (≈250m) and 0.01° (≈1km) spatial grids, using the mean of the finer resolution grid cell values.

The spatial predictions of species richness and compositional dissimilarity were used to derive two summary layers, provided here at 0.01° (≈1km) resolution. The first summary layer is the predicted compositional uniqueness, being the mean compositional dissimilarity of each grid cell to the rest of Australia (implemented using a random sample of 1 % of all grid cells) (Mokany et al. 2022). The second summary layer is an estimate of diversity importance, which combines both the species richness predictions and the compositional uniqueness predictions. To derive this layer, we normalised the compositional uniqueness values to a 0–1 range, we normalised the predicted species richness values to a 0–1 range, and took the mean of these two normalised values for each grid cell across Australia.

Data products The spatial layers are provided in three separate folders, one for each of the spatial resolutions: ‘90m’ (3 arc-second, 0.000833°); ‘250m’ (9 arc-second, 0.0025°); ‘1km’ (0.01°).

Within each folder, a species richness prediction grid is provided (‘Richness…’), and ten GDM transformed predictor layers are provided (‘Dissimilarity_GDMtran…’) (Mokany et al. 2022c).

Withing the ‘1km’ folder, the compositional uniqueness layer (‘CompositionUniqueness_1km’) and the diversity importance layer (‘DiversityImportance_1km’) are also provided.

All spatial layers are in GDA94 geographic projection (EPSG:4283) and geotiff format, with no-data values set to -9999.

References Mokany, K., et al. 2013. Scaling pairwise β-diversity and α-diversity with area. - Journal of Biogeography 40: 2299-2309. Mokany, K., et al. 2022. Patterns and drivers of plant diversity across Australia. Ecography (in press) Mokany, K., et al. 2022b. Harmonised Australian Vegetation Plot dataset (HAVPlot). - CSIRO Data Access Portal, https://doi.org/10.25919/5cex-4s70 Mokany, K., et al. 2022c. A working guide to harnessing generalized dissimilarity modelling for biodiversity analysis and conservation assessment. - Global Ecology and Biogeography 31: 802-821.

As of June 2021, about 12.98 million females and 12.75 million males lived in Australia. The population of both sexes has been increasing consistently with slightly more females than males.

The City of Port Adelaide Enfield Community Profile provides demographic and economic analysis for the Council area and its suburbs based on results from the 2016, 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population estimates when the Australian Bureau of Statistics (ABS) releases new figures. This is an interactive query tool where results can be downloaded in various formats. Three reporting types are available from this resource: 1. Social atlas that delivers the data displayed on a map showing each SA1 area (approx 200 households), 2. Community Profile which delivers data at a District level which contain 2 to 3 suburbs, and 3. Economic Profile which reports statistics of an economic indicators. The general community profile/social atlas themes available for reporting on are: -Age -Education -Ethnicity -Disability -Employment/Income -Household types -Indigenous profile -Migration -Journey to work -Disadvantage -Population Estimates -Building approvals. It also possible to navigate to the Community Profiles of some other Councils as well.

Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

In June 2022, it was estimated that around 7.3 percent of Australians were aged between 25 and 29, and the same applied to people aged between 30 and 34. All in all, about 55 percent of Australia’s population was aged 35 years or older as of June 2022. At the same time, the age distribution of the country also shows that the share of children under 14 years old was still higher than that of people over 65 years old. A breakdown of Australia’s population growth Australia is the sixth-largest country in the world, yet with a population of around 26 million inhabitants, it is only sparsely populated. Since the 1970s, the population growth of Australia has remained fairly constant. While there was a slight rise in the Australian death rate in 2022, the birth rate of the country decreased after a slight rise in the previous year. The fact that the birth rate is almost double the size of its death rate gives the country one of the highest natural population growth rates of any high-income country.
National distribution of the population Australia’s population is expected to surpass 28 million people by 2028. The majority of its inhabitants live in the major cities. The most populated states are New South Wales, Victoria, and Queensland. Together, they account for over 75 percent of the population in Australia.

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Sable charter township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Au Sable charter township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.09% of the total residents in Au Sable charter township. Notably, the median household income for White households is $46,614. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $46,614.

https://i.neilsberg.com/ch/au-sable-charter-township-mi-median-household-income-by-race.jpeg" alt="Au Sable charter township median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Sable charter township.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable charter township median household income by race. You can refer the same here

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Australia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Population of persons aged 35 - 44 years. Population symbolised via 5 quantiles (each quantile contains one fifth of the total number of SA1s, and each quantile is represented by a unique colour).

Sourced from ABS Geopackage: CLDA (Cultural Language and Diversity) - provided via SA1 boundaries.

(c) Commonwealth of Australia, licenced under a Creative Commons Attribution 2.5 Australia licence. Based on Australian Bureau of Statistics (ABS) data. ABS data used with permission from the Australian Bureau of Statistics (www.abs.gov.au)

Australia export data: Diverse economy with minerals, agricultural products, and trade ties with China, Japan, and the US. Discover its global impact.