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.

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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

Estimated Resident Population (ERP) is the official measure of the Australian population. ERP for sub-state regions (including SA2s and LGAs) is published annually, with a reference date of 30 June. ERP is the official measure of the Australian population, based on the concept of usual residence. It refers to all people, regardless of nationality, citizenship or legal status, who usually live in Australia, with the exception of foreign diplomatic personnel and their families. Note, years 2012-2016 describe preliminary rebased (PR) data. For more information about PR refer to the dataset's Explanatory Notes. This dataset has been compiled using Census data, mathematical models and a range of indicator data. Current indicators include building approvals, Medicare enrolments (provided by the Department of Human Services) and electoral enrolments (provided by the Australian Electoral Commission). Data is sourced from: ABS.Stat and further information is available at http://stat.data.abs.gov.au/Index.aspx?DataSetCode=ABS_ERP_LGA2016. For additional information about this dataset and other related statistics, contact the National Information and Referral Service on 1300 135 070.

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.

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Local Government Areas (LGA) in Australia. This table contains data relating to birthplace (countries) by sex. Counts are of all persons, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Includes England, Scotland, Wales and Northern Ireland.

The 1991 Census Usual Residents Community Profiles present 25 tables containing summary characteristics of usual residents for Local Government Areas (LGA) in Australia. This table contains data relating to birthplace (countries) by age. Counts are of all persons, based on their usual place of residence; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Includes England, Scotland, Wales and Northern Ireland.

Estimated resident population (ERP) is the official measure of the Australian population.

This dataset presents estimated resident population for 30 June 2001 to 30 June 2023 by Statistical Areas Level 2 (SA2s), 2021. Estimates are final for 2001 to 2021, revised for 2022, and preliminary for 2023.

What is ERP? ERP links people to a place of usual residence within Australia. Usual residence is the address at which a person considers themselves to currently live. ERP includes all people who usually live in Australia (regardless of nationality, citizenship or legal status), with the exception of foreign diplomatic personnel and their families. It includes usual residents who are overseas for less than 12 months out of a continuous 16-month period. It excludes those who are in Australia for less than 12 months out of a continuous 16-month period. ERP is prepared by adding births, subtracting deaths and adding the net of overseas and internal migration to a base population derived from the latest Census of Population and Housing.

The SA2 estimates in this product are subject to some error. Some caution should be exercised when using the estimates, especially for areas with very small populations. Estimates of under three people should be regarded as synthetic due to confidentiality procedures. For further information about the data see: Regional Population Methodology.

Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It will bring together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas.

Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy.

Data and geography references Source data publication: Regional population, 2022-23 Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Regional population methodology Source: Australian Bureau of Statistics (ABS)

Australia Population: Growth data was reported at 2.371 % in 2023. This records an increase from the previous number of 1.273 % for 2022. Australia Population: Growth data is updated yearly, averaging 1.447 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 3.380 % in 1971 and a record low of 0.141 % in 2021. Australia Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2022 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.;Weighted average;

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

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).

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to birthplace (countries) by sex. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary. Please note: (a) Includes England, Scotland, Wales and Northern Ireland.

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.

This dataset presents data on Aboriginal and Torres Straight Islander Peoples available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2016 and Census of Population and Housing data for 2011 and 2016 and is based on the Statistical Area 3 (SA3) 2016 boundaries. The dataset includes information the topics of demographics, language, culture, education and health. Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes. AURIN has made the following changes to the original data:

Spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA3 2016 dataset.

Some data values in Data by Region have been randomly adjusted or suppressed to avoid the release of confidential details.

Where data was not available, not available for publication, nil or rounded to zero in the original data, it has been set to null.

Columns and rows that did not contain any values in the original data have been removed.

Number of Students: Higher Education: ytd: Other Nationalities: New South Wales data was reported at 20,565.000 Person in Dec 2024. This records an increase from the previous number of 20,499.000 Person for Nov 2024. Number of Students: Higher Education: ytd: Other Nationalities: New South Wales data is updated monthly, averaging 11,761.000 Person from Jan 2002 (Median) to Dec 2024, with 276 observations. The data reached an all-time high of 20,565.000 Person in Dec 2024 and a record low of 3,467.000 Person in Jan 2002. Number of Students: Higher Education: ytd: Other Nationalities: New South Wales data remains active status in CEIC and is reported by Department of Education. The data is categorized under Global Database’s Australia – Table AU.G120: Education Statistics: Number of Enrolments.

A continuation of the "Phytochemistry of Australian Plants" database compiled by David Collins and Don McGilvery. Contains chemical structures, references, species names, with persistent identifiers to the literature and Atlas of Living Australia (ALA) for geographical distributions. The current curation effort here adds DOIs/ISBNs/ISSNs for ~80% of references, persistent IDs for all species or genus to the ALA or other datasets, and validated structures (smiles) for ~70% of structures. No new entries have been added since the last update to the original database in 2022. Change log is in the README file.

Data provided here was obtained by the listed authors on linked publications, and these authors may have no association with CSIRO. CSIRO acknowledges that the publications linked here may contain Indigenous Cultural and Intellectual Property (ICIP), including traditional knowledge. CSIRO recognizes that First Nations peoples have the right to control, own and maintain their ICIP in accordance with Article 31 of the United Nations Declaration on the Rights of Indigenous Peoples. Users of this dataset may need to obtain permission from First Nations peoples for use of the information in linked publications. Users intending to collect and use biological specimens containing the compounds described in the dataset may also require permission of First Nations peoples, and may require permits and access permission from landholders. Recognizing that any ICIP in the linked publications is already publicly available but that the publications are not readily accessible by First Nations peoples, CSIRO is committed to finding ways to make the ICIP in these publications more findable and accessible to the First Nations communities from which the knowledge was originally obtained. Users should be aware that because of the historical context of some of the linked publications, they may contain words, descriptions, images or terms which may be culturally sensitive and/or offensive and that reflect authors’ views, or those of the period in which the content was created but may not be considered appropriate today. If First Nations people identify content within this dataset that they consider breaches cultural protocols they are encouraged to contact CSIRO on csiroenquiries@csiro.au or +61 3 9545 2176 to request its removal from the dataset. Please note that while CSIRO is able to administer the data housed within this dataset, this control does not extend to the associated publications. Requests to remove publications should be directed to the associated publishing company. Lineage: Original data extracted in 2022 from https://fms05.filemakerstudio.com.au/fmi/webd?homeurl=http://www.monash.edu/#PhytoChem by kind permission of David Collins and Don McGilvery.

Techsalerator’s Import/Export Trade Data for Oceania

Techsalerator’s Import/Export Trade Data for Oceania provides a thorough and detailed examination of trade activities across the Oceania region. This expansive dataset offers deep insights into import and export transactions involving companies throughout Oceania, covering a diverse range of countries and territories.

Coverage Across All Oceania Countries

The dataset encompasses all key countries and territories within Oceania, including:

Australia and New Zealand:

Australia

Detailed trade data for Australia, including extensive records on import and export transactions, key trading partners, product categories, and economic sectors. New Zealand

Comprehensive data for New Zealand covering its trade activities, including detailed records on exports and imports, major product classifications, and trade relationships. Pacific Island Nations:

Fiji

Trade data for Fiji includes information on its export and import activities, key sectors, and trade dynamics with both regional and global partners. Papua New Guinea

Detailed records on trade transactions for Papua New Guinea, including product descriptions, quantities, values, and trade relationships with major partners. Solomon Islands

Comprehensive trade data covering the Solomon Islands, with insights into its import and export activities and key trading partners. Vanuatu

Data on Vanuatu’s trade flows, including detailed information on its import and export transactions and trade dynamics. Other Pacific Island Nations:

Samoa

Trade data for Samoa includes details on import and export transactions, product categories, and trade relationships. Tonga

Comprehensive data on Tonga’s trade activities, including detailed transaction records and sector-specific trade information. Tuvalu

Detailed trade data for Tuvalu, covering import and export activities, major products, and trade dynamics. Nauru

Trade records for Nauru include detailed insights into import and export transactions and key trading relationships. Kiribati

Data on Kiribati’s trade activities, including import and export details, product classifications, and trading partners. Marshall Islands

Trade data for the Marshall Islands, covering import and export transactions and sector-specific insights. Palau

Comprehensive records on trade for Palau, including detailed import and export information and trade relationships. Federated States of Micronesia

Data on trade activities for the Federated States of Micronesia, including import and export details and major trade partners. Comprehensive Data Features

Transaction Details: The dataset provides granular information on each trade transaction, such as product descriptions, quantities, values, and transaction dates, allowing for precise tracking and analysis of trade flows.

Company Information: Includes details about the companies involved in trade, such as company names, locations, and industry sectors, facilitating targeted market research and business intelligence.

Categorization: Transactions are categorized by industry sectors, product types, and trade partners, offering insights into market dynamics and sector-specific trends within Oceania.

Trade Trends: Historical data allows users to analyze trade trends, identify emerging markets, and understand the impact of economic or political events on trade patterns in the region.

Geographical Insights: Provides insights into regional trade flows and cross-border dynamics between Oceania’s countries and their global trade partners, including significant international trade relationships.

Regulatory and Compliance Data: Includes information on trade regulations, tariffs, and compliance requirements, helping businesses navigate the complex regulatory environments within Oceania.

Applications and Benefits

Market Research: Businesses can use the data to discover new market opportunities, analyze competitive landscapes, and understand consumer demand across various Oceania countries and territories.

Strategic Planning: Insights from the data enable companies to develop more effective trade strategies, optimize supply chains, and manage risks associated with international trade in Oceania.

Economic Analysis: Analysts and policymakers can monitor economic performance, evaluate trade balances, and make informed decisions on trade policies and economic development initiatives.

Investment Decisions: Investors can assess trade trends and market potentials to make informed decisions about investments in Oceania’s diverse economies.

Techsalerator’s Import/Export Trade Data for Oceania is an essential resource for organizations involved in international trade, offering a detailed, reliable, and expansive view of trade activities across the Oceania region.

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

Purpose:

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

Four datasets are presented here. The original dataset is a collection of the COVID-19 data maintained by Our World in Data. It includes data on confirmed cases, and deaths, as well as other variables of potential interest for ten countries such as Australia, Brazil, Canada, China, Denmark, France, Israel, Italy, the United Kingdom, and the United States. The original dataset includes the data from the date of 31st December in 2019 to 31st May in 2020 with a total of 1.530 instances and 19 features. This dataset is collected from a variety of sources (the European Centre for Disease Prevention and Control, United Nations, World Bank, Global Burden of Disease, Blavatnik School of Government, etc.). After the original dataset is pre-processed by cleaning and removing some data including unnecessary and blank. Then, all strings are converted numeric values, and some new features such as continent, hemisphere, year, month, and day are added by extracting the original features. After that, the processed original dataset is organized for prediction of the number of new cases of COVID-19 for 1 day, 3 days, and 10 days ago and three datasets (Dataset-1, 2, 3) are created for that.

The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia. This table contains data relating to birthplace (countries) by age. Counts are of all persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly. This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au. For more information please refer to the 1991 Census Dictionary.

This report provides a comprehensive analysis of Pasifika communities in Australia based on the 2021 Australian Bureau of Statistics (ABS) Census. The Australian Pasifika Educators Network (APEN) define 'Pasifika' as peoples and communities, who are genealogically, spiritually, and culturally connected to the lands, the skies and seas of the Pasifika region (including Aotearoa, New Zealand), and who have chosen to settle in and call Australia home. This analysis seeks to track key trends that have emerged since the 2015 Pacific Communities report published by Professor Jioji Ravulo based on the 2011 Census. In accordance with the intent of the original report, this current version seeks to provide an understanding of the current demographic, and socioeconomic experiences of Pasifika communities with a particular focus on education. This analysis covers population, education levels, employment patterns, as well as family and household characteristics to not only shed light on the unique circumstances faced by Pasifika communities, but also track key trends over the last decade. In addition, an examination of the Western Sydney region has been included, highlighting the significance of place-based insights on Pasifika communities towards informing policy responses and initiatives. Dataset: OVERVIEW This report compiles data from the 2021 Census of Population and Housing conducted by the Australian Bureau of Statistics (ABS). This document provides the second iteration on the human geography of Pasifika peoples within an Australian context,10 aimed at gathering greater insight into Pasifika communities, as well as comparing and tracing key trends through various datapoints. In addition, this report provides a spotlight on Pasifika communities in Western Sydney, where nearly 20% of the nation’s Pasifika population currently resides.