The Australian Standard of Living Study was designed to develop indicators of the standard of living in Australia that would allow better comparisons over time, and with other countries, than was previously possible. The study aimed to avoid the assumption that a poverty threshold can be adequately defined in terms of current (weekly or annual) income. The survey makes use of direct measures of standard of living such as housing, nourishment, transport and clothing, rather than indirect measures such as income which only indicate capacity to achieve a specified standard of living. The approach is based on the Level of Living Studies, a method of social accounting which has been used in Scandinavia since the 1960s. The survey includes self-assessment of financial well-being, money-saving behaviours, capacity to raise money, assets, debts, financial assistance from parents, health and health expenses, contact with relatives, marital history, expenditure for children, housing arrangements, work hours, income, leisure activities, social support, and life satisfaction. Background variables include parents' birthplace, parents' education level, parents' occupation, number of children, marital status, spouse's occupation, and respondent's education, qualifications, and employment history.

According to a survey conducted among adults in Australia in March 2025, ** percent of the respondents surveyed in September believed that the cost of living is the chief issue that Australia is facing. This represented a ***** percent decrease in those citing the cost of living as the main issue compared to March of the previous year.

The maps in this data base identify most profitable land use in 2050. The information plotted on the maps is classified by current and potential land use, for seven scenarios assuming new land markets and recent trend agricultural productivity. Each scenario assumes a different level of carbon payment for single-species plantings, expressed as a share of the maximum payment in the very strong abatement scenario. Differences in payment rate arise from the level of global abatement incentives, interacting with biodiversity settings. The analysis assumes that no land shifts from native vegetation (including forest, woodland, shrubland and grassland) to agricultural use. The H3 map is for balanced land market settings. The CSIRO Data Access portal provides individual PowerPoint slides for each scenario, individual .tif files for each scenario map. Access to the Australian National Outlook Report and Technical Report can be found at http://www.csiro.au/nationaloutlook/. Lineage: These maps are outputs of the Land-Use Trade-Offs (LUTO) modelling undertaken for the Australian National Outlook. For more detailed information see "Australian land-use and sustainability data: 2013-2050" at http://doi.org/10.4225/08/5604A2E8A00CC for further information on LUTO lineage.

This dataset provides an analysis of average monthly prices for four essential food items, namely Eggs, Milk, Bread, and Potatoes, in five different countries: Australia, Japan, Canada, South Africa, and Sweden. The dataset spans a five-year period, from 2018 to 2022, offering a comprehensive overview of how food prices have evolved over time in these nations.

The dataset includes information on the average monthly prices of each food item in the respective countries. This information can be valuable for studying and comparing the cost of living, assessing economic trends, and understanding variations in food price dynamics across different regions.

Use Cases:

Comparative Analysis: Researchers and analysts can compare food prices across the five countries over the five-year period to identify patterns, trends, and variations. This analysis can help understand differences in purchasing power and economic factors impacting food costs.

Cost of Living Studies: The dataset can be used to examine the cost of living in different countries, specifically focusing on the expenses related to basic food items. This information can be beneficial for individuals considering relocation or policymakers aiming to evaluate living standards.

Economic Studies: Economists and policymakers can utilize this dataset to analyze the impact of economic factors, such as inflation or currency fluctuations, on food prices in different countries. It can provide insights into the stability and volatility of food markets in each region.

Forecasting and Planning: Businesses in the food industry can leverage the dataset to forecast future food price trends and plan their operations accordingly. The historical data can serve as a foundation for predictive models and assist in optimizing pricing strategies and supply chain management.

Note: The dataset is based on average monthly prices and does not capture individual variations or specific regions within each country. Further analysis and interpretation should consider additional factors like seasonal influences, local market dynamics, and consumer preferences.

In a survey conducted in Australia in August 2022, almost ** percent of households with a household income between ** and ** thousand Australian dollars had bought cheaper food options to deal with the higher cost of living. Almost one third of households with a household income of over ** thousand Australian dollars had used their savings to combat increasing living costs.

Comprehensive cost of living breakdown for Australia including housing, food, transportation, and healthcare costs for retirement planning.

The statistic depicts Australia's gross domestic product (GDP) from 1987 to 2024, with projections up until 2030. In 2024, GDP in Australia amounted to about 1.8 trillion US dollars. See global GDP for a global comparison. Australia’s economy and population Australia’s gross domestic product has been growing steadily, and all in all, Australia and its economic key factors show a well-set country. Australia is among the countries with the largest gross domestic product / GDP worldwide, and thus one of the largest economies. It was one of the few countries not severely stricken by the 2008 financial crisis; its unemployment rate, inflation rate and trade balance, for example, were hardly affected at all. In fact, the trade balance of Australia – a country’s exports minus its imports – has been higher than ever since 2010, with a slight dip in 2012. Australia mainly exports wine and agricultural products to countries like China, Japan or South Korea. One of Australia’s largest industries is tourism, which contributes a significant share to its gross domestic product. Almost half of approximately 23 million Australian residents are employed nowadays, life expectancy is increasing, and the fertility rate (the number of children born per woman) has been quite stable. A look at the distribution of the world population by continent shows that Australia is ranked last in terms of population and population density. Most of Australia's population lives at the coast in metropolitan areas, since parts of the continent are uninhabitable. Unsurprisingly, Australia is known as a country with very high living standards, four of its biggest cities – Melbourne, Adelaide, Sydney and Perth – are among the most livable cities worldwide.

Netherlands Exports: Australia: Food and Live Animals data was reported at 31,000.000 EUR th in Aug 2018. This stayed constant from the previous number of 31,000.000 EUR th for Jul 2018. Netherlands Exports: Australia: Food and Live Animals data is updated monthly, averaging 7,393.000 EUR th from Jan 1996 (Median) to Aug 2018, with 272 observations. The data reached an all-time high of 38,000.000 EUR th in Mar 2017 and a record low of 2,408.000 EUR th in Jul 1997. Netherlands Exports: Australia: Food and Live Animals data remains active status in CEIC and is reported by Statistics Netherlands. The data is categorized under Global Database’s Netherlands – Table NL.JA003: Exports: by Country and Standard International Trade Classification 1-Digit.

The 2005 Australian Survey of Social Attitudes (AuSSA) is the second in a biennial series that studies social attitudes and behaviour of Australian citizens for the Australian and international research community. AuSSA provides cross-sectional data on the social attitudes and behaviour of Australians, repeating a core questionnaire for each cross-section and fielding specific modules relevant to the changing needs of the social research community. AuSSA is Australia's official survey in the International Social Survey Program and regularly includes ISSP modules. AuSSA 2005 includes both the ISSP's Citizenship and Work Orientations III modules. The 2005 Survey includes attitudes and behaviours that are organised into seven standard categories: Describing Australia; Community Life; The Law and Authority; Families, Relationships and Health, Australia and the World; Taxes and Government Services; and Work, Education and Living Standards. AuSSA 2005 also includes demographic and behavioural variables that survey: sex, year born, income, education, employment, home ownership, union membership, languages spoken, birthplace, household composition and religion. Also included are questions about the partner of the respondent: employment, highest-level of education and income.

The statistic shows the total population of Australia from 1980 to 2023, with projections up until 2030. In 2023, Australia had a total population of about 26.95 million people. Population of Australia Australia is among the ten largest countries in the world, in terms of area size, although its total population is low in relation to this. Much of Australia’s interior remains uninhabited, as the majority of Australians live in coastal metropolises and cities. Most of the population is of European descent (predominantly British), although there is a growing share of the population with Asian heritage; only a small percentage belongs to the indigenous Aboriginal population. Australia's year-on-year population growth is fairly high compared to most other economically and demographically advanced nations, due to comparatively high rates of natural increase and immigration. Living standards Standard of living is fairly high in Australia, which can be seen when looking at the Human Development Index, which ranks countries by their level of human development and living standards, such as their unemployment rate, literacy rate, or life expectancy at birth. Life expectancy of Australia’s population is quite high in international comparison, for example, Australia is also among the leading countries when it comes to this key factor. Economically speaking, Australia is also among the leading nations, with a steadily rising employment rate, an increasing gross domestic product (GDP) with a steady growth rate, and a relatively stable share in the global GDP.

In a survey conducted among financial advisors in Australia in 2023, around ** percent of respondents agreed that cost of living pressures had led to more clients using buy now, pay later for essential expenses than in the past. Just *** percent of respondents disagreed with this statement.

Australia Trade Balance: All Services: Travel data was reported at 29,312.000 AUD mn in 2023. This records an increase from the previous number of 12,064.000 AUD mn for 2022. Australia Trade Balance: All Services: Travel data is updated yearly, averaging 6,626.000 AUD mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 29,312.000 AUD mn in 2023 and a record low of -676.000 AUD mn in 2013. Australia Trade Balance: All Services: Travel data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.TISP: Trade in Services: Trade Balance: by Services: OECD Member: Annual. This component of EBOPS 2010 differs from most internationally traded services in that it is transactor-based. Unlike most services in EBOPS, travel is not a specific product; rather, it encompasses a range of goods and services consumed by non-residents in the economy that they visit. Travel is defined as covering goods and services for own use or to be given away, acquired from an economy, by non-residents during visits to that economy. It covers stays of any length, provided that there is no change in residence.Travel includes goods and services acquired by persons undertaking study or medical care while outside the territory of residence. It also includes acquisitions of goods and services by seasonal, border and other short-term workers in the economy of employment.The goods and services may be purchased by the persons concerned or by another party on their behalf; for example, business travel may be paid for or reimbursed by an employer; tuition and living costs of a student may be paid by a overnment; and health costs may be paid or reimbursed by a Government or insurer. Goods and services supplied by the producer without charge are also included, for example, tuition and board provided by a university.The most common goods and services entered under travel are accommodation, food, beverages and transport purchased within the economy visited (all of which are consumed in the supplying economy). Gifts, souvenirs and other articles that are purchased for own use and that may be taken out of the economies visited are also included.In line with the accrual principle, goods and services acquired during the visit, but paid for earlier or later, are included in travel. Goods and services may be acquired by being paid for by the person going abroad, paid for on his or her behalf, provided without a quid pro quo (for example, free room and board received: in such a case, there is also a corresponding transfer) or produced on own account (as in some cases of ownership of real estate and time-share accommodation).The goods and services for own use or to be given away, purchased by or provided to the non-resident while on the trip that would otherwise be classified under another item, such as postal services, telecommunications, and transport, are included in travel. This includes transport within a particular economy being visited where such transport is provided by carriers resident in that economy but excludes the international carriage of persons, which is covered in passenger services under transport services. Also excluded are goods purchased for resale in the resident's own economy or in a third economy. The acquisition of valuables (such as jewellery and expensive art), consumer durable goods (such as cars and electronic goods) and other consumer purchases for own use that is in excess of customs thresholds, are excluded. These goods are included in general merchandise.Travel excludes the acquisition of goods and services by diplomats, consular staff, military personnel, etc., and their dependants in the territory in which they are posted (included in Government goods and services n.i.e.).

The 2003 Australian Survey of Social Attitudes (AuSSA) is the first in a biennial series that studies social attitudes and behaviour of Australian citizens for the Australian and international research community. AuSSA provides cross-sectional data on the social attitudes and behaviour of Australians, repeating a core questionnaire for each cross-section and fielding specific modules relevant to the changing needs of the social research community. AuSSA is Australia's official survey in the International Social Survey Program and regularly includes ISSP modules. AuSSA 2003 includes the ISSP's National Identity module. The 2003 Survey includes attitudes and behaviours that are organised into seven standard categories: Describing Australia; Community Life; The Law and Authority; Families and Relationships; Australia and the World; Taxes and Government Services; and Work, Education and Living Standards. AuSSA 2003 also includes demographic and behavioural variables that survey: sex, year born, income, education, employment, home ownership, union membership, languages spoken, birthplace, ancestry, household composition and religion. Also included are questions about the partner of the respondent: employment, highest level of education and income.

Online repository of information about Australian plants, animals, and fungi. Development started in 2006. The Commonwealth Scientific and Industrial Research Organisation is organisation significantly involved in development of ALA.

This dataset presents the synthetically modeled indicators relating to the life satisfaction of the population of small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators are produced by the spatial micro-simulation model (SpatialMSM). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).

NATSEM’s spatial microsimulation model uses a technique that takes a survey and reweights it to small area Census data. SpatialMSM18 is the application of the NATSEM Spatial Microsimulation model using the Household, Income and Labour Dynamics in Australia (HILDA) dataset, the ABS Housing Expenditure Survey (for financial stress) and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used.

Data in this dataset comes from NATSEM's spatial microsimulation model. Estimates are for subjective life satisfaction based on questions in the HILDA dataset. A full description of the model, and validation, can be found in the accompanying NATSEM Technical Report.

Please note:

• AURIN has spatially enabled the original data provided directly from NATSEM.

• Where data values are NULL, the data is either unpublished or not applicable mathematically.

• The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.

This Cost of International Education dataset compiles detailed financial information for students pursuing higher education abroad. It covers multiple countries, cities, and universities around the world, capturing the full tuition and living expenses spectrum alongside key ancillary costs. With standardized fields such as tuition in USD, living-cost indices, rent, visa fees, insurance, and up-to-date exchange rates, it enables comparative analysis across programs, degree levels, and geographies. Whether you’re a prospective international student mapping out budgets, an educational consultant advising on affordability, or a researcher studying global education economics, this dataset offers a comprehensive foundation for data-driven insights.

Description

Potential Uses

• Budget Planning Prospective students can filter by country, program level, or university to forecast total expenses and compare across destinations.
• Policy Analysis Educational policymakers and NGOs can assess the affordability of international education and design support programs.
• Economic Research Economists can correlate living-cost indices and tuition levels with enrollment rates or student demographics.
• University Benchmarking Institutions can benchmark their fees and ancillary costs against peer universities worldwide.

Notes on Data Collection & Quality

• Currency Conversions All monetary values are unified to USD using contemporaneous exchange rates to facilitate direct comparison.
• Living Cost Index Derived from reputable city-index publications (e.g., Numbeo, Mercer) to standardize disparate cost-of-living metrics.
• Data Currency Exchange rates and fee schedules should be periodically updated to reflect market fluctuations and policy changes.

Feel free to explore, visualize, and extend this dataset for deeper insights into the true cost of studying abroad!

Average income protection insurance costs in Australia by age, gender, and smoking status for a $6,000 benefit, 2-year payment period, and 60-day wait.

This dataset presents the synthetically modeled indicators relating to the life satisfaction of the population of small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators are produced by the spatial micro-simulation model (SpatialMSM). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM). NATSEM’s spatial microsimulation model uses a technique that takes a survey and reweights it to small area Census data. SpatialMSM18 is the application of the NATSEM Spatial Microsimulation model using the Household, Income and Labour Dynamics in Australia (HILDA) dataset, the ABS Housing Expenditure Survey (for financial stress) and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used. Data in this dataset comes from NATSEM's spatial microsimulation model. Estimates are for subjective life satisfaction based on questions in the HILDA dataset. A full description of the model, and validation, can be found in the accompanying NATSEM Technical Report. Please note: AURIN has spatially enabled the original data provided directly from NATSEM.

ALSA is a longitudinal study that collected multidisciplinary data from a cohort of around 2,000 older people in Adelaide, South Australia. The study began in 1992 with a sample of around 1,500 participants, their partners, and other household members, aged 65 years and above. Both community-dwelling and people living in residential care were randomly selected from the South Australian Electoral Roll. The primary sample was stratified by age groups (70-74, 75-79, 80-84, and 85 years or more), gender, and local government area. At baseline, the cohort was 49% female, and the average age was 78 years. Participants were followed up for 22 years with 13 waves of data collection.

Burden Of Disease by state and territory

Rate were age-standardised to the 2001 Australian Standard Population, and expressed per 1000 people Rate ratios compare the state/territory rate of burden with the Australian rate of burden * The value is less than the value shown
DALY (disability-adjusted life years): Measure (in years) of healthy life lost, either through premature death defined as dying before the expected life span at the age of death (YLL) or, equivalently, through living with ill health due to illness or injury (YLD). YLD (years lived with disability): A measure of the years of what could have been a healthy life but were instead spent in states of less than full health. YLD represent non-fatal burden. YLL (years of life lost): Years of life lost due to premature death, defined as dying before the global ideal life span at the age of death. YLL represent fatal burden.

The data is presented by the ACT Government for the purpose of disseminating information for the benefit of the public. The ACT Government has taken great care to ensure the information in this report is as correct and accurate as possible. Whilst the information is considered to be true and correct at the date of publication, changes in circumstances after the time of publication may impact on the accuracy of the information. Differences in statistical methods and calculations, data updates and guidelines may result in the information contained in this report varying from previously published information.