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.
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Context
The dataset tabulates the population of Au Sable town by race. It includes the population of Au Sable town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Sable town across relevant racial categories.
Key observations
The percent distribution of Au Sable town population by race (across all racial categories recognized by the U.S. Census Bureau): 94.74% are white, 0.19% are Black or African American, 0.85% are some other race and 4.22% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable town Population by Race & Ethnicity. You can refer the same here
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Genomic diversity is a fundamental component of Earth's total biodiversity and requires explicit consideration in efforts to conserve biodiversity. To conserve genomic diversity, it is necessary to measure its spatial distribution and quantify the contribution that any intraspecific evolutionary lineages make to overall genomic diversity. Here, we describe the range-wide population genomic structure of a threatened Australian rodent, the black-footed tree-rat (Mesembriomys gouldii), aiming to provide insight into the timing and extent of population declines across a large region with a dearth of long-term monitoring data. By estimating recent trajectories in effective population sizes at four localities, we confirm widespread population decline across the species' range, but find that the population in the peri-urban area of the Darwin region has been more stable. Based on current sampling, the Melville Island population made the greatest contribution to overall allelic richness of the species, and the prioritisation analysis suggested that conservation of the Darwin and Cobourg Peninsula populations would be the most cost-effective scenario to retain more than 90% of all alleles. Our results broadly confirm current sub-specific taxonomy and provide crucial data on the spatial distribution of genomic diversity to help prioritise limited conservation resources. Along with additional sampling and genomic analysis from the far eastern and western edges of the black-footed tree-rat distribution, we suggest a range of conservation and research priorities that could help improve black-footed tree-rat population trajectories at large and fine spatial scales, including the retention and expansion of structurally complex habitat patches.
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Context
The dataset presents the median household income across different racial categories in Au Gres 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 Gres township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 99.03% of the total residents in Au Gres township. Notably, the median household income for White households is $59,712. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $59,712.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres township median household income by race. You can refer the same here
Phrapl (R package) https://github.com/bomeara/phraplPopGenome (R package) https://github.com/pievos101/PopGenomeStructure https://web.stanford.edu/group/pritchardlab/structure.htmlStairwayplot2 https://github.com/xiaoming-liu/stairway-plot-v2Aliview https://github.com/AliView/AliViewBayesian Phylogeography and Phylogenetics (bpp) https://github.com/bpp/bpphierfstat (R package) https://github.com/jgx65/hierfstatIQ-TREE http://www.iqtree.org/migrate-n https://peterbeerli.com/migrate-html5/ms https://uchicago.app.box.com/s/l3e5uf13tikfjm7e1il1eujitlsjdx13smpartpca https://github.com/chrchang/eigensoft/blob/master/POPGEN/README Maxent https://github.com/mrmaxent/Maxent
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The breeding population of the black-browed albatross Thalassarche melanophrys has increased at Heard Island since the first census data were obtained in 1947/1948. Four breeding localities are known, and all populations have increased in the period 1947/1948-2000/2001. The breeding population is estimated to have been approximately 200 pairs in 1947/1948. Based on 2000/2001 census data, the population has increased to a minimum of approximately 600 pairs over the 53 years. Two mechanisms, that of increased prey availability through scavenging discards from trawlers operating within their foraging range, and climatic amelioration, are proposed as hypotheses for this increase.
The fields in this dataset are: Season Dates Location Numbers Nests Adults Chicks
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License information was derived automatically
Movement of species beyond their indigenous distribution can fundamentally alter the conservation status of the populations involved. If introductions are human-facilitated, introduced species could be considered pests. Characterizing the colonization history of introduced species can, therefore, be critical to formulating the objectives and nature of wildlife management strategies. The black swan (Cygnus atratus) is native to Australia but is considered a reintroduced species in New Zealand, where the endemic population was reported extinct during the 19th century. After the re-introduction of a small number of individuals from Australia, the New Zealand population expanded unexpectedly rapidly, which was attributed to simultaneous waves of migration from Australia. An alternative, but hitherto unformalized, hypothesis is that local extant populations remained and admixed with introduced individuals. To contribute to our understanding of the reintroduction history of the species, we investigated dispersal patterns and demographic histories of seven populations from Australia and New Zealand, using population genetic inferences from a microsatellite dataset. Our results on genetic structure, dispersal rates, and demographic histories provide mixed evidence on the origin of New Zealand black swans. The hypothesis that reintroduced individuals mixed with remaining local individuals and that the subsequent dramatic population expansion may have been due to genetic rescue of the inbred indigenous population cannot be discarded and needs further investigation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Au Sable 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 township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 91.48% of the total residents in Au Sable township. Notably, the median household income for White households is $43,958. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $43,958.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable township median household income by race. You can refer the same here
In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.
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A short report examining the conceptual understanding of aspects that define viable populations of dominant Murray-Darling Basin floodplain eucalypts (River Red Gum, Black Box, Coolabah trees).
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License information was derived automatically
Context
The dataset tabulates the population of Au Gres by race. It includes the population of Au Gres across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Gres across relevant racial categories.
Key observations
The percent distribution of Au Gres population by race (across all racial categories recognized by the U.S. Census Bureau): 87.27% are white, 1.43% are Black or African American, 0.20% are American Indian and Alaska Native, 0.71% are some other race and 10.39% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Au Train township by race. It includes the population of Au Train township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Train township across relevant racial categories.
Key observations
The percent distribution of Au Train township population by race (across all racial categories recognized by the U.S. Census Bureau): 90.97% are white, 0.52% are American Indian and Alaska Native, 2.32% are some other race and 6.19% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Train township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Au Sable charter township by race. It includes the population of Au Sable charter township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Sable charter township across relevant racial categories.
Key observations
The percent distribution of Au Sable charter township population by race (across all racial categories recognized by the U.S. Census Bureau): 94.09% are white, 0.68% are Black or African American, 0.08% are American Indian and Alaska Native, 0.72% are Asian, 0.46% are some other race and 3.97% are multiracial.
https://i.neilsberg.com/ch/au-sable-charter-township-mi-population-by-race.jpeg" alt="Au Sable charter township population by race">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable charter township Population by Race & Ethnicity. You can refer the same here
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License information was derived automatically
The Black Rockcod (Epinephelus daemelii) is a large, slow-growing, long-lived reef fish that occurs in Australia along the coast of New South Wales, including at Lord Howe Island. Populations of black rockcod have been significantly reduced here due to overfishing, accidental hooking, and loss or degradation of estuarine and intertidal nursery habitats. As a result, the species is listed as ‘Vulnerable’ under both the Commonwealth Environmental Protection and Biodiversity Conservation Act 1999 and the NSW Fisheries Management Act 1994.
Despite having been protected from fishing in NSW since 1983, black rockcod are still taken illegally, or caught incidentally and released, which can lead to mortality post-release from embolism. Its protection status results from concerns of population declines across its range. The NSW Government has identified long-term population monitoring as a a high priority for the species’ recovery plan.
Broadscale surveys of black rockcod were first conducted using the diver Underwater Visual Census (UVC) technique in 2009-11 when 83 sites were sampled from Port Stephens to Cook Island in far northern NSW, including the waters of Lord Howe Island. This NESP Marine and Coastal Hub project 3.14 funded the repeat of these broadscale surveys in 2023, with 8 additional sites (91 total) sampled using the same technique. For each black rockcod sighting, the length of the fish was visually estimated by divers, and also filmed using a diver stereo camera system where possible to obtain an exact length measurement. Other attributes recorded included the habitat the fish was found in, if the sighting was cryptic (i.e. hidden or camouflaged), and the depth of the sighting.
Based on the broadscale survey sites in 2009-11, a subset of 19 key Black rockcod survey sites along mainland NSW were established These comprised of two sites in the Cape Byron Marine Park (CBMP), five sites in the Solitary Islands Marine Park (SIMP) two sites at SW Rocks (Fish Rock), and ten sites within the Port Stephens-Great Lakes Marine Park (PSGLMP). An additional 18 key sites were established at Lord Howe Island (LHIMP) and surveyed in 2011, 2019, 2023 & 2024. These surveys involved an identical methodology to the broadscale surveys, but without the use of stereo cameras as diver estimates of fish size were shown to be reasonably similar. This NESP MaC Hub project 3.14 provided funding for the resurveying of the 37 total key sites (where weather permitted) in both 2023 and 2024.
The data provided by this record includes:
(1) all black rockcod sightings and measurements for broadscale sites (2023) and key sites (2023 & 2024);
(2) a comparison of the counts of black rockcod recorded at broadscale sites in 2009-11 (n=83) and again in 2023 (n=91); and
(3) a comparison of the count of black rockcod recorded at key monitoring sites in northern NSW (n=19) and Lord Howe Island (n=18) across monitoring years 2009-2024.
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License information was derived automatically
Context
The dataset tabulates the population of Isle au Haut town by race. It includes the population of Isle au Haut town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Isle au Haut town across relevant racial categories.
Key observations
The percent distribution of Isle au Haut town population by race (across all racial categories recognized by the U.S. Census Bureau): 100% are white.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Isle au Haut town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Au Sable town by race. It includes the distribution of the Non-Hispanic population of Au Sable town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Au Sable town across relevant racial categories.
Key observations
Of the Non-Hispanic population in Au Sable town, the largest racial group is White alone with a population of 2,955 (96.70% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Au Train township by race. It includes the distribution of the Non-Hispanic population of Au Train township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Au Train township across relevant racial categories.
Key observations
Of the Non-Hispanic population in Au Train township, the largest racial group is White alone with a population of 1,053 (93.27% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Train township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Au Sable township by race. It includes the population of Au Sable township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Sable township across relevant racial categories.
Key observations
The percent distribution of Au Sable township population by race (across all racial categories recognized by the U.S. Census Bureau): 91.48% are white and 8.52% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Au Gres township by race. It includes the population of Au Gres township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Au Gres township across relevant racial categories.
Key observations
The percent distribution of Au Gres township population by race (across all racial categories recognized by the U.S. Census Bureau): 99.03% are white and 0.97% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres township Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Au Gres by race. It includes the distribution of the Non-Hispanic population of Au Gres across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Au Gres across relevant racial categories.
Key observations
Of the Non-Hispanic population in Au Gres, the largest racial group is White alone with a population of 857 (88.81% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres Population by Race & Ethnicity. You can refer the same here
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.