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.

Humans have been living on the continent of Australia (name derived from "Terra Australis"; Latin for "the southern land") for approximately 65,000 years, however population growth was relatively slow until the nineteenth century. Europeans had made some contact with Australia as early as 1606, however there was no significant attempt at settlement until the late eighteenth century. By 1800, the population of Australia was approximately 350,000 people, and the majority of these were Indigenous Australians. As colonization progressed the number of ethnic Europeans increased while the Australian Aboriginal population was decimated through conflict, smallpox and other diseases, with some communities being exterminated completely, such as Aboriginal Tasmanians. Mass migration from Britain and China After the loss of its American colonies in the 1780s, the British Empire looked to other parts of the globe to expand its sphere of influence. In Australia, the first colonies were established in Sydney, Tasmania and Western Australia. Many of these were penal colonies which became home to approximately 164,000 British and Irish convicts who were transported to Australia between 1788 and 1868. As the decades progressed, expansion into the interior intensified, and the entire country was claimed by Britain in 1826. Inland colonization led to further conflict between European settlers and indigenous Australians, which cost the lives of thousands of natives. Inward expansion also saw the discovery of many natural resources, and most notably led to the gold rushes of the 1850s, which attracted substantial numbers of Chinese migrants to Australia. This mass migration from non-European countries eventually led to some restrictive policies being introduced, culminating with the White Australia Policy of 1901, which cemented ethnic-European dominance in Australian politics and society. These policies were not retracted until the second half of the 1900s. Independent Australia Australia changed its status to a British dominion in 1901, and eventually became independent in 1931. Despite this, Australia has remained a part of the British Commonwealth, and Australian forces (ANZAC) fought with the British and their Allies in both World Wars, and were instrumental in campaigns such as Gallipoli in WWI, and the South West Pacific Theater in WWII. The aftermath of both wars had a significant impact on the Australian population, with approximately 90 thousand deaths in both world wars combined, as well as 15 thousand deaths as a result of the Spanish flu pandemic following WWI, although Australia experienced a significant baby boom following the Second World War. In the past fifty years, Australia has promoted immigration from all over the world, and now has one of the strongest economies and highest living standards in the world, with a population that has grown to over 25 million people in 2020.

About this dataset

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.

Content

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:

• 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 township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 township median household income by race. You can refer the same here

This record provides an overview of the NESP Marine and Coastal Hub project "Updating knowledge of Australian white sharks". For specific data outputs from this project, please see child records associated with this metadata. The white shark is listed as vulnerable and migratory under Australia’s Environment Protection and Biodiversity Conservation Act 1999. The national White Shark Recovery Plan 2013 sets out research and management actions necessary to support the recovery of the white shark in Australian waters. Previous research funded by the National Environmental Science Program (NESP) provided updated estimates of white shark breeding population size and trend. However, the results were based on modest data sets and were limited by some critical knowledge gaps in relation to pupping and juvenile nursery areas, and uncertainty about how populations are connected between eastern and south-western Australia. Recent unpublished work has raised the prospect of a single Australian population. The White Shark Recovery Plan 2013 has identified a critical need for a quantitative assessment of population trends and evidence of any recovery of the white shark in Australian waters. This project will provide an update and reduce uncertainty regarding the status, trends, and population structure of white sharks in Australian waters. Specifically, it will focus efforts to identify critical habitats and biologically important areas for white sharks and improve the understanding of population status through advancing close-kin mark recapture research. Three project sub-components will involve: • Investigating the feasibility of filling knowledge gaps about juvenile and pupping areas and adult movements; • Investigating population structure to resolve mixing/connectivity questions; and • Updating population estimates based on significant new data. The project approach will comprise of: (1) A pilot study to assess the effectiveness of tagging adult females (>4.5 metres) and juveniles (>2 m) throughout the southern-western white shark range. Genetic samples will be gathered from around Australia and sought from South Africa and New Zealand to conduct a comprehensive update of white shark stock structure. (2) Using an expanded tissue sample set from New South Wales (~1000 samples) to update and refine estimates of adult population size and population trend for the eastern white shark population. Juvenile numbers will be estimated using data from the New South Wales shark management program. Additional samples from South Australia and Western Australia will be combined with previous samples in the southern-western population to refine estimates of population size. (3) Population estimates undertaken using close-kin mark-recapture, a technique that combines advanced genetics and statistical modelling to infer population demographics by identifying close-kin-pairs (parent-offspring or half-siblings) among a collection of sampled animals. Outputs • New genetic samples and sequencing data for white sharks [dataset] • Tracking data derived from 12 PAT tags [dataset] • Final technical report (including recommendations for systematic future research to assist in identifying additional critical habitat for the south-western white shark population) [written]

About this dataset

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.

Content

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:

• 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 Gres township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 Gres township median household income by race. You can refer the same here

About this dataset

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).

Content

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:

• 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: This column displays the racial categories (for Non-Hispanic) for the Au Train township
• Population: The population of the racial category (for Non-Hispanic) in the Au Train township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Au Train township total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Train township Population by Race & Ethnicity. You can refer the same here

This record provides an overview of the NESP Marine and Coastal Hub project "Updating knowledge of Australian white sharks". For specific data outputs from this project, please see child records associated with this metadata. The white shark is listed as vulnerable and migratory under Australia’s Environment Protection and Biodiversity Conservation Act 1999. The national White Shark Recovery Plan 2013 sets out research and management actions necessary to support the recovery of the white shark in Australian waters. Previous research funded by the National Environmental Science Program (NESP) provided updated estimates of white shark breeding population size and trend. However, the results were based on modest data sets and were limited by some critical knowledge gaps in relation to pupping and juvenile nursery areas, and uncertainty about how populations are connected between eastern and south-western Australia. Recent unpublished work has raised the prospect of a single Australian population. The White Shark Recovery Plan 2013 has identified a critical need for a quantitative assessment of population trends and evidence of any recovery of the white shark in Australian waters. This project will provide an update and reduce uncertainty regarding the status, trends, and population structure of white sharks in Australian waters. Specifically, it will focus efforts to identify critical habitats and biologically important areas for white sharks and improve the understanding of population status through advancing close-kin mark recapture research. Three project sub-components will involve: • Investigating the feasibility of filling knowledge gaps about juvenile and pupping areas and adult movements; • Investigating population structure to resolve mixing/connectivity questions; and • Updating population estimates based on significant new data. The project approach will comprise of: (1) A pilot study to assess the effectiveness of tagging adult females (>4.5 metres) and juveniles (>2 m) throughout the southern-western white shark range. Genetic samples will be gathered from around Australia and sought from South Africa and New Zealand to conduct a comprehensive update of white shark stock structure. (2) Using an expanded tissue sample set from New South Wales (~1000 samples) to update and refine estimates of adult population size and population trend for the eastern white shark population. Juvenile numbers will be estimated using data from the New South Wales shark management program. Additional samples from South Australia and Western Australia will be combined with previous samples in the southern-western population to refine estimates of population size. (3) Population estimates undertaken using close-kin mark-recapture, a technique that combines advanced genetics and statistical modelling to infer population demographics by identifying close-kin-pairs (parent-offspring or half-siblings) among a collection of sampled animals. Outputs • New genetic samples and sequencing data for white sharks [dataset] • Tracking data derived from 12 PAT tags [dataset] • Final technical report (including recommendations for systematic future research to assist in identifying additional critical habitat for the south-western white shark population) [written]

These statistics report on the Department's treatment card population by eligibility, card type, state, sex, age and conflict in which the veteran first served.

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project A3 - "A national assessment of population status of White Sharks". For specific data outputs from this project, please see child records associated with this metadata. White sharks are listed as Vulnerable under the EPBC Act and the subject of a national recovery plan, yet there is still no effective way to assess their population status and thus no way of determining the efficacy of conservation actions. Recent debate due to various human-shark interactions has highlighted the need for further information. This Project provides a national assessment of white shark population size and status in order to establish the efficacy of existing recovery actions and provide a scientifically sound and rational basis from which to develop policies that balance conservation objectives and public safety. Planed Outputs • Tools to refine and integrate CK-MR, electronic tagging distribution and species demographic data for population assessments of a key threatened species at a national scale (combining knowledge developed under this project combined with similar techniques being applied under NESP to euryhaline sharks and planned for grey nurse sharks). • National estimates of (census) population size and trend for white sharks in Australian waters (western and eastern populations respectively) are established that fulfil the highest priority actions of the National Recovery Plan. • New genetic and statistical tools trialled for the estimation of historical population trend from contemporary tissue samples for key species for which other methods of population assessment are unreliable or unavailable. • Provide information that identifies movement corridors, hotspots and contributes to management strategies for top-order marine predators • Estimate juvenile white shark survival and abundance for input into integrated national population assessment models in order to refine population estimates. • National-level information on habitat use, behaviour and spatial dynamics of white sharks at various scales used to provide the scientific underpinning for government decisions and policies as well as provide for more informed public debate. • Identify national strategies to monitor white shark populations. • The project will provide peer-reviewed additions to the scientific literature that will add to the science-support for the development and implementation of policies to support the ecologically sustainable management of Australia’s marine environment.

Widespread degradation across Australia’s inland wetland network has contributed to severe declines for many waterbird species. In contrast, breeding colonies of the Australian white ibis (Threskiornis molucca) have increased in urbanised areas along the coast, but the level of dispersal and gene flow between inland and coastal areas remain unknown. This study uses single nucleotide polymorphisms (SNPs) to ascertain the variables influencing genetic connectivity among several inland and urban colonies of white ibis across south-eastern Australia between 2015 and 2018. The contemporary effective population size was estimated, and this value was used in simulations to evaluate the impact of various management scenarios on future genetic diversity. We found no significant differences in allele frequencies between localities, or robust evidence of site fidelity, therefore suggesting widespread dispersal and gene flow between inland and urban colonies. Furthermore, effective sizes were large enough to maintain genetic diversity into the future under various realistic management scenarios. However, the lack of genetic partitioning found suggests that urban management of the ibis should not be undertaken in isolation of the conservation requirements of inland colonies.

Methods The data were collected as part of a population genetics study investigating gene flow and effective population sizes of Australian white ibis (Threskiornis molucca) across south-east Australia. Feather samples were collected non-invasively from 11 wetlands and extracted DNA was sequenced via genotyping-by-sequencing methods employed by Diversity Arrays Technology, Canberra, Australia. Resulting single nucleotide polymorphisms (SNPs) were filtered for quality.

Usage Notes Please see the ReadMe file for additional details on the dataset.

Over the past 20 years, the share of the Australian population that holds a degree at a bachelor level or above has increased by more than six times, reaching 50.8 percent in 2022. Since May of 2023, however, that number has dropped to only 32 percent. In Australia, the tertiary education sector comprises both public and private institutions. The student body is comprised of both domestic and international students. University graduate employment Domestic students make up most of the graduates within Australia. The vast majority of graduates in 2022 found full-time employment after studying, with the fields of medicine, pharmacy and rehabilitation having the highest rates of employment post graduation. Dentistry graduates earned the highest median full-time salary of recent university graduates in the country. International study landscape International students are a rapidly growing segment of Australia’s tertiary education sector. The export income from international student activities amounted to just under 36.5 billion Australian dollars in 2023. Chinese students accounted for the largest share of international student enrollments in the same period. Students completing their studies at Australian universities are attracted to the prestige of obtaining a degree at some of the best universities in the world. Moreover, graduates have the opportunity to enter the Australian labor market and to apply for a permanent visa in the country.

About this dataset

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).

Content

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:

• 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: This column displays the racial categories (for Non-Hispanic) for the Au Gres
• Population: The population of the racial category (for Non-Hispanic) in the Au Gres is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Au Gres total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Gres Population by Race & Ethnicity. You can refer the same here

This paper describes the analysis of population data typed using the Promega PowerPlex 21 multiplex for the three major sub populations within Australia. Samples from 1427 declared Australian Aboriginal, 546 Pure Aboriginals from the Northern Territory, 990 Asian, and 1707 Caucasian individuals representing were analysed. Departures from Hardy–Weinberg equilibrium (HWE) and linkage equilibrium (LE) were assessed using exact tests. The Aboriginal populations were shown to display significant departures from equilibrium. All four subpopulation databases are of suitable size for the purpose of estimating allele frequencies.

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project A9 - "Grey Nurse Shark CK-MR Population Estimate – East Coast". For specific data outputs from this project, please see child records associated with this metadata.

A review of the 2002 National Recovery Plan for Grey Nurse Shark (DEWHA 2009) concluded it was not possible to determine if the east coast population had shown any signs of recovery (DoE 2014); recommending a new recovery plan be developed for this species. A primary objective of the new recovery plan (DoE 2014) is to improve knowledge of GNS population status. This will require a robust estimate of population size and trend – something that has not been provided to date. This project will use genetic SNP data to inform close kin-mark recapture analysis to estimate population size and trend, and provide guidance on future monitoring strategies for the east coast population of grey nurse shark. Planned Outputs • Tools to refine and integrate CK-MR and species demographic data for population assessments of a key threatened species at a national scale (combining knowledge developed under this project combined with similar techniques being applied under NESP to euryhaline sharks and white sharks). • A national estimate of (census) population size and trend for the eastern Australian population of grey nurse shark will be developed to fulfil the highest priority actions of the National Recovery Plan. • Identify national strategies to guide future monitoring of grey nurse shark populations. • The project will provide peer-reviewed additions to the scientific literature that will add to the science-support for the development and implementation of policies to support the ecologically sustainable management of Australia’s marine environment.

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.

Whereas the population is expected to decrease somewhat until 2100 in Asia, Europe, and South America, it is predicted to grow significantly in Africa. While there were 1.55 billion inhabitants on the continent at the beginning of 2025, the number of inhabitants is expected to reach 3.81 billion by 2100. In total, the global population is expected to reach nearly 10.18 billion by 2100. Worldwide population In the United States, the total population is expected to steadily increase over the next couple of years. In 2024, Asia held over half of the global population and is expected to have the highest number of people living in urban areas in 2050. Asia is home to the two most populous countries, India and China, both with a population of over one billion people. However, the small country of Monaco had the highest population density worldwide in 2024. Effects of overpopulation Alongside the growing worldwide population, there are negative effects of overpopulation. The increasing population puts a higher pressure on existing resources and contributes to pollution. As the population grows, the demand for food grows, which requires more water, which in turn takes away from the freshwater available. Concurrently, food needs to be transported through different mechanisms, which contributes to air pollution. Not every resource is renewable, meaning the world is using up limited resources that will eventually run out. Furthermore, more species will become extinct which harms the ecosystem and food chain. Overpopulation was considered to be one of the most important environmental issues worldwide in 2020.

About this dataset

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).

Content

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:

• 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: This column displays the racial categories (for Non-Hispanic) for the Au Sable town
• Population: The population of the racial category (for Non-Hispanic) in the Au Sable town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Au Sable town total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 town Population by Race & Ethnicity. You can refer the same here

BackgroundThe risk of preterm birth (PTB) and low birthweight (LBW) may change over time the longer that immigrants reside in their adopted countries. We aimed to study the influence of acculturation on the risk of these outcomes in Australia.MethodsA retrospective cohort study using linked health data for all non-Indigenous births from 2005–2013 in Western Australia was undertaken. Acculturation was assessed through age on arrival, length of residence, interpreter use and having an Australian-born partner. Adjusted odds ratios (aOR) for term-LBW and PTB (all, spontaneous, medically-indicated) were calculated using multivariable logistic regression in migrants from six ethnicities (white, Asian, Indian, African, Māori, and ‘other’) for different levels of acculturation, compared to the Australian-born population as the reference.ResultsThe least acculturated migrant women, those from non-white non-Māori ethnic backgrounds who immigrated at age ≥18 years, had an overseas-born partner, lived in Australia for < 5 years and used a paid interpreter, had 58% (aOR 1.58, 95% CI 1.15–2.18) higher the risk of term-LBW and 40% (aOR 0.60, 95% CI 0.45–0.80) lower risk of spontaneous PTB compared to the Australian-born women. The most acculturated migrant women, those from non-white non-Māori ethnic backgrounds who immigrated at age 10 years and did not use an interpreter, had similar risk of term-LBW but 43% (aOR 1.43, 95% CI 1.14–1.78) higher risk of spontaneous PTB than the Australian-born women.ConclusionAcculturation is an important factor to consider when providing antenatal care to prevent PTB and LBW in migrants. Acculturation may reduce the risk of term-LBW but, conversely, may increase the risk of spontaneous PTB in migrant women residing in Western Australia. However, the effect may vary by ethnicity and warrants further investigation to fully understand the processes involved.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Au Sable township by race. It includes the distribution of the Non-Hispanic population of Au Sable 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 Sable township across relevant racial categories.

Key observations

With a zero Hispanic population, Au Sable township is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 161 (91.48% of the total Non-Hispanic population).

Content

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:

• 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: This column displays the racial categories (for Non-Hispanic) for the Au Sable township
• Population: The population of the racial category (for Non-Hispanic) in the Au Sable township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Au Sable township total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 township Population by Race & Ethnicity. You can refer the same here

The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.