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Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data was reported at 0.276 % in 2023. This records an increase from the previous number of 0.256 % for 2022. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data is updated yearly, averaging 0.307 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 0.767 % in 1963 and a record low of 0.015 % in 1978. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia 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: Exports. Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
Middle-income trap refers to the economic growth strategies that transition low-income countries into middle-income ones but fail to transition the middle-income countries into high-income countries. We observe the existence of a middle-income trap for upper-middle- and lower middle-income countries. We examine the reasons for the middle-income trap using the Bayesian model averaging (BMA) and generalized method of moments (GMM). We also explore the transformation of middle-income economies into high-income economies using logistic, probit and Limited Information Maximum Likelihood (LIML) regression analyses. Random forest analysis is also used to check the robustness of the findings. BMA analysis shows that education plays an enabling role in high-income countries in determining economic growth, whereas the full poten tial of education is not fully utilized in middle-income countries. GMM estimations show that the education coefficient is positive and significant for high-income and middle-income countries. This implies that education plays a decisive positive role in achieving economic growth and gives a path to escape from the middle-income trap. However, the education coefficient for middle-income countries is approximately half that of high-income countries. Therefore, the findings of this study call for additional investment and focused strategies relating to human capital endowments
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Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data was reported at 0.742 % in 2023. This records a decrease from the previous number of 0.860 % for 2022. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa data is updated yearly, averaging 0.988 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 2.421 % in 2012 and a record low of 0.231 % in 1992. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Sub-Saharan Africa 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: Imports. Merchandise imports from low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data was reported at 1.783 % in 2023. This records a decrease from the previous number of 1.789 % for 2022. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data is updated yearly, averaging 1.010 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1.912 % in 2017 and a record low of 0.347 % in 1969. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean 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: Imports. Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data was reported at 2.749 % in 2023. This records a decrease from the previous number of 3.010 % for 2022. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data is updated yearly, averaging 1.131 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 3.855 % in 1961 and a record low of 0.759 % in 1985. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia 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: Imports. Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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Merchandise imports from low- and middle-income economies in Middle East & North Africa (% of total merchandise imports) in Australia was reported at 0.27805 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data was reported at 39.958 % in 2023. This records a decrease from the previous number of 40.365 % for 2022. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data is updated yearly, averaging 11.395 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 40.665 % in 2020 and a record low of 3.151 % in 1975. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific 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: Imports. Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) in Australia was reported at 6.0179 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Merchandise imports from developing economies outside region (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
This statistic depicts the share of individuals living below the poverty line in Australia in the financial year 2016. That financial year, **** percent of individuals aged 15 years and under and **** percent of those aged between 25 and 64 were deemed to have been living in poverty. Of those aged 65 years and older, **** percent who were living in rented accommodation were below the poverty line, compared to **** percent of those that were not renting.
Comprehensive dataset of 116 Low income housing programs in Australia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
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Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 6.018 % in 2023. This records a decrease from the previous number of 6.612 % for 2022. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 3.956 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 8.831 % in 1961 and a record low of 2.195 % in 1992. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region 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: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
A survey conducted from March to April 2022 among professionals in the music and live performing arts industries in Australia revealed that over one-third of the respondents earned less than 30 thousand Australian dollars per year from their line of work. According to the source, this was bellow the poverty line in Australia.
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Merchandise exports to low- and middle-income economies outside region (% of total merchandise exports) in Australia was reported at 7.201 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Merchandise exports to developing economies outside region (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
The 2021 Australian Digital Inclusion Index (ADII) results showed that people who had a tertiary education had an ADII score of ****, closely followed by people who were employed. At the other end of the scale, the ADII score for people with no secondary education was ****. People with disabilities and those not in the labor force scored slightly better but remained at the lower end of the digital inclusion scale.
Applications of the Australian Digital Inclusion Index
The ADII provides a benchmark for digital inclusion across various social and economic indicators such as age, cultural background, and income. It can also identify digital disadvantage by highlighting the digital divide between and within specific groups. For example, people over the age of ** have a lower ADII score than the younger age groups. A similar digital divide can be observed when comparing people on low and high incomes. In modern society it is becoming increasingly important to be digitally literate to communicate and engage with services, however, the ADII helps to identify groups who may be disadvantaged by new digital solutions and the digitalization of services.
Digitalization of government services
One area that is undergoing rapid digitalization in Australia is government services. Since 2015 e-government services can be accessed through the myGov online portal and many government interactions can now be done electronically, without the need to go into a physical service center. While this digitalization of government has simplified processes for many, e-government also risks isolating those who lack the digital literacy or online access to engage fully with online government services.
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Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean data was reported at 0.702 % in 2023. This records a decrease from the previous number of 0.750 % for 2022. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean data is updated yearly, averaging 0.911 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1.720 % in 1975 and a record low of 0.384 % in 2020. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean 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: Exports. Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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The most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income …Show full descriptionThe most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income less than half median equivalised disposable household income (which is set as the poverty line); this is a relative income poverty measure as poverty is measured by reference to the income of others rather than in some absolute sense. Australia has one of the highest household disposable incomes in the world, which means that an Australian relative income poverty line is set at a high level of income compared to most other countries. OECD statistics on Australian poverty 2015-16 (based on ABS Survey of Income and Housing data and applying a poverty line of 50% of median income) determined the Australian poverty rate was over 25% before taxes and transfers, but falls around 12% after taxes and transfers. Though measuring poverty through application of solely an income measure is not considered comprehensive for an Australian context, however, it does demonstrate that the Australian welfare system more than halves the number of Australians that would otherwise be considered as at risk of living in poverty under that measure. It is important to consider a range of indicators of persistent disadvantage to understand poverty and hardship and its multidimensional nature. Different indicators point to different dimensions of poverty. While transient poverty is a problem, the experience of persistent poverty is of deeper concern, particularly where families experience intergenerational disadvantage and long-term welfare reliance. HILDA data from the Melbourne Institute of Applied Economic and Social Research shows the Distribution of number of years in poverty 2001–2015. The figure focuses on the longer term experience of working age adults and shows that while people do fall into poverty, only a small proportion of people are persistently poor.
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The most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income less than half median equivalised disposable household income (which is set as the poverty line); this is a relative income poverty measure as poverty is measured by reference to the income of others rather than in some absolute sense. Australia has one of the highest household disposable incomes in the world, which means that an Australian relative income poverty line is set at a high level of income compared to most other countries.
OECD statistics on Australian poverty 2015-16 (based on ABS Survey of Income and Housing data and applying a poverty line of 50% of median income) determined the Australian poverty rate was over 25% before taxes and transfers, but falls around 12% after taxes and transfers. Though measuring poverty through application of solely an income measure is not considered comprehensive for an Australian context, however, it does demonstrate that the Australian welfare system more than halves the number of Australians that would otherwise be considered as at risk of living in poverty under that measure.
It is important to consider a range of indicators of persistent disadvantage to understand poverty and hardship and its multidimensional nature. Different indicators point to different dimensions of poverty.
While transient poverty is a problem, the experience of persistent poverty is of deeper concern, particularly where families experience intergenerational disadvantage and long-term welfare reliance. HILDA data from the Melbourne Institute of Applied Economic and Social Research shows the Distribution of number of years in poverty 2001–2015. The figure focuses on the longer term experience of working age adults and shows that while people do fall into poverty, only a small proportion of people are persistently poor.
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Merchandise exports to low- and middle-income economies in Middle East & North Africa (% of total merchandise exports) in Australia was reported at 0.44017 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Merchandise exports to low- and middle-income economies in Sub-Saharan Africa (% of total merchandise exports) in Australia was reported at 0.60629 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data was reported at 0.440 % in 2023. This records an increase from the previous number of 0.349 % for 2022. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data is updated yearly, averaging 1.410 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4.868 % in 1980 and a record low of 0.272 % in 2020. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa 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: Exports. Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;
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Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data was reported at 0.276 % in 2023. This records an increase from the previous number of 0.256 % for 2022. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia data is updated yearly, averaging 0.307 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 0.767 % in 1963 and a record low of 0.015 % in 1978. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Europe & Central Asia 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: Exports. Merchandise exports to low- and middle-income economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Europe and Central Asia region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;