The Gross Domestic Product (GDP) in Australia expanded 0.20 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Australia GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The statistic shows the growth rate of Australia’s real GDP from 2020 to 2024, with projections up until 2030. In 2024, GDP in Australia grew by about 1.04 percent on the previous year.The recession-proof land down underGDP is one of the primary indicators used to gauge the state and health of a country’s economy. It is the total market value of all final goods and services that have been produced within a country in a given period of time, usually a year. GDP figures allow us to understand a country’s economy in a clear way. Real GDP, in a similar vein, is also a very useful indicator; this is a measurement that takes prices changes (inflation and deflation) into account, therefore acting as a key indicator for economic growth.The gross domestic product (GDP) growth rate in Australia has, for sometime, been able to get a steady foothold in the somewhat shaky post-recession world, shaky, but far from catastrophic. The annual growth rate between the 2008 and 2009 financial years, for example, a time at which the world was brought to its proverbial knees, saw growth rates down under reach to 2.49 and 1.37 percent respectively on the previous years, whereas the GDP growth rate in the United States plummeted well into the minus zone. Australia, like all other capitalist nations, is at the mercy of international markets, and when the world economy takes a hit, it would be foolish to suggest it could emerge fully unscathed. However, Australia has earned some much deserved praise and attention owing to the fact that it has managed to remain recession-free for the past twenty years. This could be thanks to its abundance of raw materials, the Australian mining boom, the fact the recession came at a time of high commodity prices and, maybe most importantly, that just under a third of its exports go to China.

Exceed the national economic growth rate over the period to 2020.

Exceed the national economic growth rate over the period to 2020.

Australia Gross Domestic Product (GDP): Single Hit Scenario data was reported at 2,040.000 AUD bn in Dec 2021. This records an increase from the previous number of 2,030.000 AUD bn for Sep 2021. Australia Gross Domestic Product (GDP): Single Hit Scenario data is updated quarterly, averaging 413.500 AUD bn from Mar 1960 (Median) to Dec 2021, with 248 observations. The data reached an all-time high of 2,040.000 AUD bn in Dec 2021 and a record low of 16.574 AUD bn in Mar 1960. Australia Gross Domestic Product (GDP): Single Hit Scenario 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.EO: GDP by Expenditure: Forecast: OECD Member: Quarterly. GDP-Gross domestic product, value, market prices Expenditure approach System of national Accounts 2008:https://unstats.un.org/unsd/nationalaccount/docs/sna2008.pdf European system of accounts ESA2010:https://ec.europa.eu/eurostat/documents/3859598/5925693/KS-02-13-269-EN.PDF/44cd9d01-bc64-40e5-bd40-d17df0c69334 Understanding NATIONAL ACCOUNTS:https://www.oecd.org/sdd/UNA-2014.pdf

GDP per capita growth (annual %) in Australia was reported at --0.6271 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - GDP per capita growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Australia Gross Domestic Product (GDP): Double Hit Scenario data was reported at 1,950.000 AUD bn in Dec 2021. This records an increase from the previous number of 1,940.000 AUD bn for Sep 2021. Australia Gross Domestic Product (GDP): Double Hit Scenario data is updated quarterly, averaging 413.500 AUD bn from Mar 1960 (Median) to Dec 2021, with 248 observations. The data reached an all-time high of 2,020.000 AUD bn in Mar 2020 and a record low of 16.574 AUD bn in Mar 1960. Australia Gross Domestic Product (GDP): Double Hit Scenario 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.EO: GDP by Expenditure: Forecast: OECD Member: Quarterly. GDP-Gross domestic product, value, market prices Expenditure approach System of national Accounts 2008:https://unstats.un.org/unsd/nationalaccount/docs/sna2008.pdf European system of accounts ESA2010:https://ec.europa.eu/eurostat/documents/3859598/5925693/KS-02-13-269-EN.PDF/44cd9d01-bc64-40e5-bd40-d17df0c69334 Understanding NATIONAL ACCOUNTS:https://www.oecd.org/sdd/UNA-2014.pdf

Trade (% of GDP) in Australia was reported at 47.31 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Trade (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

This publication was produced by CSIRO for the Fisheries Research and Development Corporation with research and data support by ABARES.

The report develops a framework that can be used to assist managers to cost effectively develop target reference points that are consistent with the Commonwealth Harvest Strategy Policy for multispecies in mixed fisheries. The report addresses the problem of determining appropriate target reference points for target and by-product stocks in multispecies fisheries. The applicability of this framework is demonstrated using a case study fishery, the trawl component of the Southern and Eastern Scalefish and Shark Fishery.

The report uses generic logistic and exponential bio-economic models to produce a target reference point consistent with the current management framework taking into consideration a wide range of biological and economic conditions. The output was included in the development of a generic decision support framework using two cost effective approaches: regression tree analysis and the Bayesian Network approach. Sensitivity tests were also conducted on all 4 models. The project also develops a separate set of bio-economic models specific to the trawl component of the Southern and Eastern Scalefish and Shark Fishery examining the static and dynamic aspects of maximum economic yield.

The results from the generic models suggest that the key determinants of the target reference point of individual species in multispecies mixed fisheries are catchability, growth rates and share of total fishery revenue. Other variables, such as costs of fishing, prices and number of species in the fishery are also influential but to a lesser degree. For the case study fishery, both of the cost effective approaches performed well and achieved better results than the current default proxy target reference point. An incidental result from the study is that attempting to impose a target reference point on all species may not be necessary (or feasible) in multispecies fisheries. Instead, imposing a target on the dominant species (in terms of revenue share) for each sub-fleet results in outcomes close to optimal, and reduces conflicts in catches where target reference points are not perfectly aligned.

This publication was produced by CSIRO for the Fisheries Research and Development Corporation with research and data support by ABARES. The report develops a framework that can be used to assist …Show full descriptionThis publication was produced by CSIRO for the Fisheries Research and Development Corporation with research and data support by ABARES. The report develops a framework that can be used to assist managers to cost effectively develop target reference points that are consistent with the Commonwealth Harvest Strategy Policy for multispecies in mixed fisheries. The report addresses the problem of determining appropriate target reference points for target and by-product stocks in multispecies fisheries. The applicability of this framework is demonstrated using a case study fishery, the trawl component of the Southern and Eastern Scalefish and Shark Fishery. The report uses generic logistic and exponential bio-economic models to produce a target reference point consistent with the current management framework taking into consideration a wide range of biological and economic conditions. The output was included in the development of a generic decision support framework using two cost effective approaches: regression tree analysis and the Bayesian Network approach. Sensitivity tests were also conducted on all 4 models. The project also develops a separate set of bio-economic models specific to the trawl component of the Southern and Eastern Scalefish and Shark Fishery examining the static and dynamic aspects of maximum economic yield. The results from the generic models suggest that the key determinants of the target reference point of individual species in multispecies mixed fisheries are catchability, growth rates and share of total fishery revenue. Other variables, such as costs of fishing, prices and number of species in the fishery are also influential but to a lesser degree. For the case study fishery, both of the cost effective approaches performed well and achieved better results than the current default proxy target reference point. An incidental result from the study is that attempting to impose a target reference point on all species may not be necessary (or feasible) in multispecies fisheries. Instead, imposing a target on the dominant species (in terms of revenue share) for each sub-fleet results in outcomes close to optimal, and reduces conflicts in catches where target reference points are not perfectly aligned.

The benchmark interest rate in Australia was last recorded at 3.85 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Australia was 1,002 individuals.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

Australia Balance of Payment: Current Account Balance: as % of GDP: Single Hit Scenario data was reported at 0.926 % in Dec 2021. This records a decrease from the previous number of 0.951 % for Sep 2021. Australia Balance of Payment: Current Account Balance: as % of GDP: Single Hit Scenario data is updated quarterly, averaging -3.205 % from Mar 1960 (Median) to Dec 2021, with 248 observations. The data reached an all-time high of 2.298 % in Dec 1972 and a record low of -7.307 % in Dec 2004. Australia Balance of Payment: Current Account Balance: as % of GDP: Single Hit Scenario 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.EO: Balance of Payments: Current Account: Forecast: OECD Member: Quarterly. CBGDPR-Current account balance, as a percentage of GDP Sixth Edition of the IMF's Balance of Payments and International Investment Position Manual (BPM6):https://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

Exports of goods and services (% of GDP) in Australia was reported at 24.71 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Exports of goods and services (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Agriculture, forestry, and fishing, value added (% of GDP) in Australia was reported at 2.2182 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Agriculture, value added (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

GDP per capita, PPP (current international $) in Australia was reported at 71193 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - GDP per capita, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Export Data Access API

The projects supported though the Regional Growth Fund are helping regional communities to be even more vibrant, modern places to live and work with access to essential services, modern amenities and job opportunities. The Regional Growth Fund is keeping businesses open, employees in jobs and money flowing through local economies.

The Regional Growth Fund has supported vital community projects that:

• develop new sports infrastructure
• create engaging community programs
• provide economic opportunities for mining communities
• strengthen the arts, culture and heritage of regional NSW
• improve mobile and broadband internet access
• spur local job creation and economic growth
• allow communities to rebuild and recover after the bushfires
• increase tourism to regional NSW.

Metadata

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National coverage

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day. Sample size was 1008.

Mode of data collection

Other [oth]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

Ensure that the provision of key economic and social infrastructure accommodates population growth.

Coal rents (% of GDP) in Australia was reported at 0.78646 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Coal rents (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.