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 DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Gres. 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 population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 88.54% of the total residents in Au Gres. Notably, the median household income for White households is $62,693. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $62,693.

https://i.neilsberg.com/ch/au-gres-mi-median-household-income-by-race.jpeg" alt="Au Gres 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 Gres.
• 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 Gres median household income by race. You can refer the same here

The 2019 APS employee census was administered to all available Australian Public Service (APS) employees. This census approach provides a comprehensive view of the APS and ensures no eligible respondents are omitted from the survey sample, removing sampling bias and reducing sample error. The census' content is designed to establish the views of APS employees on workplace issues such as leadership, learning and development, and job satisfaction. The census ran from 6 May to 7 June 2019. Overall, 104,471 APS employees responded to the employee census, a response rate of 77%.

Please be aware that the very large number of respondents to the employee census means these files are over 200 mb in size. Downloading and opening these files may take some time.

TECHNICAL NOTES

Three files are available for download.

• 2019 APS employee census - Questionnaire: This contains the 2019 APS employee census questionnaire.

• 2019 APS employee census - 5 point dataset.csv: This file contains individual responses to the 2019 APS employee census as clean, tabular data as required by data.gov.au. This will need to be used in conjunction with the above document.

• 2019 APS employee census - 5 point dataset.sav: This file contains individual responses to the 2019 APS employee census for use with the SPSS software package.

To protect the privacy and confidentiality of respondents to the 2019 APS employee census, the datasets provided on data.gov.au include responses to a limited number of demographic or other attribute questions.

Full citation of this dataset should list the Australian Public Service Commission (APSC) as the author.

A recommended short citation is: 2019 APS employee census data, Australian Public Service Commission.

Any queries can be directed to research@apsc.gov.au.

With extensive coverage nationally and across various languages, our B2C Language Demographic Data provides valuable insights for sales, marketing, and research purposes. Whether you're seeking to expand your client base, enhance lead generation efforts, or conduct market analysis, our dataset empowers you to make informed decisions and drive business growth.

Our B2C Language Demographic Data covers a wide range of languages including but not limited to Chinese, Arabic, Hindi, French, German, Vietnamese and more. By leveraging our dataset, you can identify potential prospects, explore new market opportunities, and stay ahead of the competition. Whether you're a startup looking to establish your presence, a seasoned enterprise aiming to expand your market share or a researcher, our B2C Language Demographic Data offers valuable insights.

Uses

The use cases of our B2C Language Demographic Data are diverse and versatile. From targeted marketing campaigns (e.g., billboard, location-based), to market segmentation and cohort analysis, our dataset serves as a valuable asset for various business and research functions. Whether you're targeting influencers, or specific industry verticals, our B2C Language Demographic Data provides the foundation for effective communication and engagement.

Key benefits of our B2C Language Demographic Data include:

• Enhanced Lead Generation: Identify locations of high-potential prospects
• Improved Targeting: Tailor your marketing efforts based on detailed location- based insights on your target cohort. Our rich set of contact points enable business to direct energies to precisely where they create the most impact.
• Increased ROI: Maximize the efficiency of your marketing campaigns by focusing on the most promising opportunities.
• Data Accuracy: Ensure the reliability and validity of your data with our regularly updated and verified dataset.
• Competitive Advantage: Stay ahead of the competition by accessing comprehensive market intelligence and strategic insights.
• Scalability: Our dataset grows with your business, providing scalability and flexibility to meet evolving needs.
• Compliance: Our B2C Language Demographic Data complies with relevant data privacy regulations

Why businesses partner with us:

Operating for over ten years, innovation is our north star, driving value, fostering collaborative grown and compounding returns for our partners.
Our data is compliant and responsibly collected. We are easy to work with.
We offer products that are cost effective and good value. We work to make an impact for our customers. Talk to us about the solutions you are after

Key Tags:

Data Enrichment, B2C Sales, Analytics, People Data, B2C, Customer Data, Prospect Data, Audience Generation, B2C Data Enrichment, Business Intelligence, AI / ML, Market Intelligence, Segmentation, Audience Targeting, Audience Intelligence, B2C Advertising, List Validation, Data Cleansing, Competitive Intelligence, Demographic Data, B2C Data, Lead Information, Data Append, Data Augmentation, Data Cleansing, Data Enhancement, Data Intelligence, Data Science, Due Diligence, Marketing Data Enrichment, Master Data Enrichment, People-Based Marketing, Predictive Analytics, Prospecting, Sales Intelligence, Sales Prospecting

The number of Facebook users in Australia was forecast to continuously decrease between 2024 and 2028 by in total 1.5 million users (-9.94 percent). After the eighth consecutive decreasing year, the Facebook user base is estimated to reach 13.62 million users and therefore a new minimum in 2028. User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Facebook users in countries like Fiji and New Zealand.

UK residents by broad country of birth and citizenship groups, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

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

The number of snapchat users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+4.02 percent). After the ninth consecutive increasing year, the snapchat user base is estimated to reach 7.74 million users and therefore a new peak in 2028. Notably, the number of snapchat users of was continuously increasing over the past years.The user numbers, depicted here regarding the platform Snapchat, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The Department of Social Services (DSS) is the Australian Government’s preeminent source of advice on social policy and works in partnership with other government and non-government organisations to manage a diverse range of programs and services designed to support and improve the lives of Australians. DSS has whole of government responsibility

• Families and Children

• Housing Support

• Seniors

• Communities and Vulnerable People

• Disability and Carers

• Women's Safety

• Mental Health

• Settlement and Multicultural Affairs

• Ageing and Aged Care

• Review of Australia’s Welfare System

This statistical overview presents information about income support payments and customers administered by a number of Australian Government departments.

Unless otherwise indicated, the statistics relate to the relevant pay periods closest to 30 June. These periods will generally be within a fortnight either side of that date.

Key sections of the overview are:

• payments for older people,

• people with disability and

• those caring for people with disability, severe medical conditions,

• or those who are frail aged

• student and labour market related payments

• family assistance

• other payments and services

• pensioners paid overseas.

Payment and allowance information, including eligibility criteria, are included within each section. When The Department of Social Services was formed in September 2013 the publishing of the Statistical Paper series ceased. The DSS Payments Demographic Data Set is updated quarterly and covers the majority of the information contained in the Statistical Paper series. Please contact the Data Requests team if you have any questions in relation to this publication or the DSS Payment Demographic Data Set.

Further information to assist with the interpretation of statistics is available from the DSS and Human Services websites:

Department of Human Services (DHS)

Department of Social Services (DSS).

This document describes the background and methodology of four surveys under the general study title Issues in Multicultural Australia. The four surveys are: a general sample of the population; non-English speaking born immigrants in general (the NESB sample); persons born in Australia whose father or mother was born in a non-English speaking country (the second generation sample); and persons who migrated to Australia since July 1981 from non-English speaking countries (the new arrivals sample). The general of this study are: to examine multiculturalism as a policy, through the experience of Australians; as a set of beliefs, through their attitudes; and as an aspect of cultural maintenance, through their perceptions. The study concentrates on three broad themes. First, it examines the attitudes of the Australian and overseas born towards multiculturalism, focussing in particular on views about the maintenance of customs, ways of life and patterns of behaviour among immigrants. Second, the barriers which exist to providing full access and equity to overseas born groups are analysed, principally in the fields of education, jobs and in the provision of general health and welfare programmes and services. Third, the study looks at levels of participation in the social and political spheres in community, culture and work related organisations, and in the use of the political process to remedy problems and grievances. Separate sections of the questionnaire deal with the respondent's background - country of birth and parents' country of birth, father's occupation and educational level; language - English language ability, languages spoken, use of own language, ethnicity - identification with ethnic groups, government aid to such groups, religious observance; education - school leaving age, qualifications obtained, recognition of overseas qualifications, transition to employment; current job - job status, occupation , industry, working conditions, trade union membership, gross income, problems looking for work; spouse - country of birth, education and qualifications, occupation and industry, income and income sources; immigration - attitudes to immigration policy, opportunities for immigrants, social distance from various ethnic groups, and attitudes to authority; family and social networks - numbers of children, siblings in Australia, numbers of close friends in Australia, neighbours; citizenship - citizenship status, participation in political matters and interest in politics, trust in government; and multiculturalism - views on what multiculturalism means, and its importance to Australian society.

The number of LinkedIn users in Australia was forecast to continuously increase between 2024 and 2028 by in total 0.5 million users (+3.74 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 13.89 million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of LinkedIn users in countries like Fiji and New Zealand.

Data are collected under the Health Care Act 2008. The Cancer Registry collects information on all invasive (malignant) cancer diagnoses for all South Australian residents and on deaths for these cancer cases. Data include demographic information, details of the cancer including the date of diagnosis, site and histology, and the tests used to diagnose the cancer. For those cancer cases who have died, details of the cause and date of death are collected. Further information can be found on the SA Health website.

This database contains comprehensive information on 715 formally incorporated Chinese Voluntary Associations (CVAs) in the State of Victoria, Australia. Victoria is home to one of the largest and most vibrant ethnic Chinese communities in Australia, making this dataset particularly significant. The information provided includes organisation names, year of registration, membership numbers, deregistration years (where applicable), and mission statements (for some organisations). This rich collection of data offers researchers a unique opportunity to study the evolution and characteristics of Chinese community organisations in a key area of Chinese settlement and community development in Australia.While the database is based on self-reported information and may not perfectly reflect reality, it nonetheless provides a robust and detailed picture of the formally incorporated Chinese community organisations in Victoria. The dataset's strengths lie in its comprehensive coverage of registered CVAs and the inclusion of both active and deregistered organisations. However, it is important to note that informal, unincorporated associations are not included in this database.This valuable resource can support various research applications, including analyses of trends in organisation formation, patterns in organisational missions, membership dynamics, and comparative studies with other regions or ethnic communities. By making this database available, researchers can gain deeper insights into the Chinese diaspora's civic engagement and community-building efforts in one of Australia's most significant Chinese population centres, contributing to a better understanding of multicultural society and immigrant integration in urban contexts.

The persistent exposure of coral communities to more variable abiotic regimes is assumed to augment their resilience to future climatic variability. Yet, while the determinants of coral population resilience across species remain unknown, we are unable to predict the winners and losers across reef ecosystems exposed to increasingly variable conditions. Using annual surveys of 3171 coral individuals across Australia and Japan (2016-2019), we explored spatial variation across the short- and long-term dynamics of competitive, stress-tolerant, and weedy assemblages to evaluate how thermal variability mediates the structural composition of coral communities. Here this dataset contains the raw colony-level data collected during these annual surveys, detailing the size, survival, and recruitment of coral colonies within a series of permenant plots arranged throughout the reef communities of Okinawa, Kochi (both Japan), the Solitary Islands Marine Park, and Heron Island (both Australia). This data set facilitates the comparison of coral population dynamics between tropical and subtropical ecoregions and between different taxonomic and morpho-functional groups. Methods For methodological details please see Cant et al. (2023) Coral assemblages at higher latitudes favour short-term potential over long-term performance. Ecology.

The number of social media users in Australia was forecast to continuously increase between 2024 and 2029 by in total 2.1 million users (+8.55 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 26.68 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of social media users in countries like Fiji and New Zealand.

The number of Youtube users in Australia was forecast to continuously increase between 2024 and 2029 by in total 0.4 million users (+2.6 percent). After the fifth consecutive increasing year, the Youtube user base is estimated to reach 15.81 million users and therefore a new peak in 2029. User figures, shown here regarding the platform youtube, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Youtube users in countries like Fiji and New Zealand.

The number of Instagram users in Australia was forecast to continuously decrease between 2024 and 2028 by in total 1.5 million users (-13.94 percent). According to this forecast, in 2028, the Instagram user base will have decreased for the sixth consecutive year to 9.27 million users. User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Instagram users in countries like New Zealand and Fiji.

The LTERN Tropical Rainforest Plot Network Rainforest Tree Demographic Data contains stem measurement data for 1 of 20, 0.5 ha (100 m x 50 m) permanent rainforest plots in Northern Queensland, Australia from 2011 to 2013.
This is part of a much larger dataset that spans from 1971 to 2013 that is managed by CSIRO. This data publication refers specifically to observations made at Plot EP40, and this data is accessible as a composite data package at the following location: Metcalfe, D; Murphy, H; Bradford, M; Hogan, D; Ford, A (2014): Tropical Rainforest Plot Network: Rainforest Tree Demographic Data, Northern Queensland, Australia, 2011-2013. Long Term Ecological Research Network. http://www.ltern.org.au/knb/metacat/ltern2.90.42/html The CSIRO permanent rainforest plots are located within 60 km of the north Queensland coast between Mackay (21.5ºS, 149ºE) and the Iron Range on Cape York Peninsula (12.5ºS, 143ºE). The plots have a rainfall range of 1200 to 3500 mm, represent eleven vegetation types, six parent materials, and range from 15 m to 1200 m above sea level. Except for minor disturbances associated with selective logging on two plots, the plots were established in old growth forest and all plots have thereafter been protected. Plots were regularly censused and at each census the diameter at breast height (DBH) of all stems ≥10 cm DBH is recorded. Due to the wide geographical range of the plots, no species dominate, although the families Lauraceae, Rutaceae and Myrtaceae contribute a large number of species. The data collected from the 20 plots provides an insight into the floristical composition, structure and long term forest dynamics of Australian tropical rainforests and allows direct comparisons to be made with long-term monitoring plots at a global scale (Bradford, M.G., Murphy, H.T., Ford, A.J., Hogan, D. and Metcalfe, D.J. (2014). Long term stem inventory data from tropical rainforest plots in Australia. Ecology 95:2362. http://www.rainforest-crc.jcu.edu.au/publications/permanent_plots1.pdf. This is part of a much larger dataset that spans from 2004 to 2014; a synopsis of related data packages which have been collected as part of the Tropical Rainforest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/tropical-rainforest.

The 2015 LTERN Tropical Rainforest Plot Network Rainforest Tree Demographic Data contains stem measurement data from 7 of its 20, 0.5 ha (100 m x 50 m) permanent rainforest plots in Northern Queensland, Australia. This is part of a much larger dataset that spans from 1971 to 2015 managed by CSIRO. The CSIRO permanent rainforest plots are located within 60 km of the north Queensland coast between Mackay (21.5ºS, 149ºE) and the Iron Range on Cape York Peninsula (12.5ºS, 143ºE). The plots have a rainfall range of 1200 to 3500 mm, represent eleven vegetation types, six parent materials, and range from 15 m to 1200 m above sea level. Except for minor disturbances associated with selective logging on two plots, the plots were established in old growth forest and all plots have thereafter been protected. Plots were regularly censused and at each census the diameter at breast height (DBH) of all stems ≥10 cm DBH is recorded. Due to the wide geographical range of the plots, no species dominate, although the families Lauraceae, Rutaceae and Myrtaceae contribute a large number of species. The data collected from these 7 plots provides an insight into the floristical composition, structure and long term forest dynamics of Australian tropical rainforests and allows direct comparisons to be made with long-term monitoring plots at a global scale (Bradford, M.G., Murphy, H.T., Ford, A.J., Hogan, D. and Metcalfe, D.J. (2014). Long term stem inventory data from tropical rainforest plots in Australia. Ecology 95:2362. http://www.rainforest-crc.jcu.edu.au/publications/permanent_plots1.pdf. A synopsis of related data packages which have been collected as part of the Tropical Rainforest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/tropical-rainforest.