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.

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 ...,

We used next-generation sequencing data from remnant populations of the threatened black-footed tree-rat (Mesembriomys gouldii) to compare patterns of genomic diversity and differentiation across the landscape and investigate genomic diversity metrics to better understand brush-tailed rabbit-rat population genomic structure. We also ran a quantitative prioritisation analysis to determine which populations are the most cost-effective to conserve for the retention of genomic diversity. Detailed methods are provided in the published manuscript. All bioinformatic and R scripts are provided as part of the dataset. All relevant input and output files for ANGSD, SNeP and STACKS, as well as filtered genotypes, are provided.

, Software used for this publication/dataset include the following. However, many different software programs can be used to open the files and run the same or similar analyses. R STACKS BWA SAMTOOLS ANGSD SNeP PLINK TreeMix MARXAN

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

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

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.

This dataset lists inmates incarcerated at Cockatoo Island prison in Sydney (Australia) between 1847-1869. It offers insights into how the colonial criminal justice system operated after New South Wales’ transition from a penal colony to a ‘free’ colony when transportation ceased in 1840. It is a useful tool for genealogists tracing the lives of their criminal ancestors and for historians of crime and punishment researching nineteenth-century Australia. The dataset includes prisoners' names and aliases, their ship of arrival, place of origin, details of their colonial conviction(s) (trial place, court, offence, sentence), date(s) admitted to Cockatoo Island, and when and how they were discharged from Cockatoo Island. In some cases, it also includes prisoners' place of origin, occupation, biometric information (height, eye/hair colour, complexion, scars, tattoos), 'condition upon arrival' (convict or free), and (for convicts) details of their original conviction in Britain or Ireland. As a UNESCO World Heritage 'Convict Site' Cockatoo Island is best known as a site of secondary punishment for recidivist convicts, especially those transferred from Norfolk Island. This dataset demonstrates the diversity of the prison population: including nominally free convicts (ticket-of-leave holders), migrants from Britain, China and other Australian colonies drawn in by the gold rush, exiles from Port Phillip, Aboriginal Australians convicted during frontier warfare, colonial-born white Australians (including bushrangers), and black, Indian and American sailors visiting Sydney. Significant attention has been paid to the more than 160,000 British and Irish convicts who were transported Australia as colonists between 1787 and 1868. Much less has been said about those punished within the criminal justice system that arose in the wake of New South Wales' transition from 'penal' to 'free' colony (Finnane, 1997: x-xi). Cockatoo Island prison opened in 1839, a year before convict transportation to New South Wales ceased, and was intended to punish the most recidivist and violent of the transported convicts. This archetype has prevailed in historical discourses, and they have been described as 'criminal lunatics... [and] criminals incapable of reform' (Parker, 1977: 61); 'the most desperate and abandoned characters' (O'Carrigan, 1994: 64); and people of 'doubtful character' (NSW Government Architect's Office, 2009: 29). Yet, this was far from the truth. My analysis of 1666 prisoners arriving between 1839-52 show they were overwhelming non-violent offenders, tried for minor property crimes at lower courts. They were also far more diverse population than commonly recognised, including Indigenous Australian, Chinese and black convicts alongside majority British and Irish men (Harman, 2012). This project will make publicly available extremely detailed records relating to Cockatoo Island's prisoners to show people firsthand exactly who made up the inmate population. The digital version of the original registers will include information on convicts' criminal record, but also their job, whether they were married or had children, and even what they looked like. It will also be a name-searchable database so family historians can search for their ancestors, who may have been incarcerated on the island. As it stands, they will be able find information online about ancestors who were transported as long as they remained in the 'convict system', but they may seem to disappear as soon as they are awarded their ticket-of-leave and become 'free'. However, many former convicts, and free immigrants, to New South Wales were convicted locally, and these records can give us information about their lives within the colony. The type of data included in these registers will also allow researchers to investigate questions including: (1) were convicts more likely to offend again than free immigrants? (2) Were the children of convicts more likely to offend than others? (3) Did the influx of mostly Chinese migrants during the gold rush actually lead to a crime-wave, as reported in the press? (4) Were laws introduced between 1830 and 1853, actually effective at prosecuting bushrangers (highwaymen)? (5) Was the criminal-judicial system in Australia more rehabilitative, despite developing out of a harsher convict transportation system? Alongside the dataset, the website will include 'life-biographies' of individual convicts to show you how this dataset can be used to piece together a life-story. It also to warns against understanding a real-life person only through the records of their conviction. There many of fascinating stories to tell, including those 'John Perry' ('Black Perry') the prizewinning boxer; the love story of the 'Two Fredericks'; and Tan, the Chinese gold-digger who resisted his incarceration. In addition, there will be teaching resources for secondary school children and undergraduate university students who want to engage directly with historical materials, without having to leave their classroom. Overall, this website invites anyone with an interest in the history of crime and punishment, and any visitors to the UNESCO world heritage site 'Cockatoo Island', to try searching for a name in the database or read about a featured convict's life story. It asks them, though, to think about how and why these people's lives intersected with the state, leading to their incarceration, and how history has erased much of their lives outside of it. Data collection involved photographing a Cockatoo Island’s surviving prison registers and returns kept at the State Archives of New South Wales (call numbers: 4/4540, 4/6501, 4/6509, 6571, 4/6572, 4/6573, 4/6574, 4/6575, X819). In these volumes, clerks had listed details of incoming prisoners on the dates they arrived between April 1847 and October 1869. This prison register for the period 1839-46 (call number: 2/8285) had not survived to a good enough quality for accurate transcription and was excluded from data collection. I photographed and then transcribed these records in full into a tabular form, with minor standardisation of abbreviations and irregular spellings. Where multiple records existed for one person I combined information from two separate archival records into one line of the dataset. Where I could not verify that two people with the same name were the same person, I listed them as separate entries. Barring errors in entry at the time of record creation, the studied population represents the entire population of prisoners incarcerated at Cockatoo Island between April 1847 and October 1869 when the prison closed.

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.