In financial year 2020, over 460 thousand households in Australia had a gross weekly household income of 6,000 Australian dollars or more. On the other end of the spectrum, over 30,000 households had a negative income and around over 32,000 had no income.

Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data was reported at 3.411 % in 2020. This records a decrease from the previous number of 3.992 % for 2019. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: South Asia data is updated yearly, averaging 2.577 % from Dec 1960 (Median) to 2020, with 61 observations. The data reached an all-time high of 8.139 % in 2009 and a record low of 1.045 % in 1973. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: 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: Exports. Merchandise exports to low- and middle-income economies in South Asia are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the South 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;

Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data was reported at 0.569 % in 2020. This records a decrease from the previous number of 0.658 % for 2019. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data is updated yearly, averaging 1.227 % from Dec 1960 (Median) to 2020, with 61 observations. The data reached an all-time high of 3.053 % in 1971 and a record low of 0.417 % in 1989. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: 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: Exports. Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan 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;

Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Outside Region data was reported at 50.714 % in 2020. This records a decrease from the previous number of 51.725 % for 2019. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Outside Region data is updated yearly, averaging 20.751 % from Dec 1960 (Median) to 2020, with 61 observations. The data reached an all-time high of 51.725 % in 2019 and a record low of 13.140 % in 1960. Australia Exports: Low- and Middle-Income Economies: % of Total Goods Exports: 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: Exports. Merchandise exports to low- and middle-income economies outside region are the sum of merchandise exports from the reporting economy to 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 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;

Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data was reported at 40.259 % in 2020. This records an increase from the previous number of 38.938 % for 2019. Australia Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data is updated yearly, averaging 7.234 % from Dec 1960 (Median) to 2020, with 61 observations. The data reached an all-time high of 40.259 % in 2020 and a record low of 3.057 % 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;

This interview is part of the Women, Risk and Aids Project (1989-90) archive which was created as part of the Reanimating Data Project (2018-20).Original transcript of interview with Justine, who is living with her girlfriend and co-parenting their child. She talks about the gay scene in Sydney and the sexual norms that it allowed. Justine has had some patchy use of contraception throughout her sexual relationships, relying mainly on the pill, and has contracted STDs. Her sex education in Australia was quite poor, especially around things like abortion that were taught by pro-life religious groups. AIDS information came from the gay community itself, gay media and through her job in the council - she wouldn't trust the 'regular' news. It has been quite a worry for her, especially as she is socialising within gay communities. Justine came out while at school, and faced a lot of homophobia, but saw it as an opportunity to challenge restrictive social norms in her suburban community. She's not sure what she'd like to do in the future, but does not envisage staying with her current partner for a long time.

The International Social Survey Programme (ISSP) is a continuous programme of cross-national collaboration running annual surveys on topics important for the social sciences. The programme started in 1984 with four founding members - Australia, Germany, Great Britain, and the United States – and has now grown to almost 50 member countries from all over the world. As the surveys are designed for replication, they can be used for both, cross-national and cross-time comparisons. Each ISSP module focuses on a specific topic, which is repeated in regular time intervals. Please, consult the documentation for details on how the national ISSP surveys are fielded. The present study focuses on questions about social inequality.
The release of the cumulated ISSP ´Social Inequality´ modules for the years 1987, 1992, 1999 and 2009 consists of two separate datasets: ZA5890 and ZA5891. This documentation deals with the main dataset ZA5890. It contains all the cumulated variables, while the supplementary data file ZA5961 contains those variables that could not be cumulated for various reasons. However, they can be matched easily to the cumulated file if necessary. A comprehensive overview on the contents, the structure and basic coding rules of both data files can be found in the following guide:

Guide for the ISSP ´Social Inequality´ cumulation of the years 1987,1992, 1999 and 2009

Social Inequality I-IV:

Importance of social background and other factors as prerequisites for personal success in society (wealthy family, well-educated parents, good education, ambitions, natural ability, hard work, knowing the right people, political connections, person´s race and religion, the part of a country a person comes from, gender and political beliefs); chances to increase personal standard of living (social mobility); corruption as criteria for social mobility; importance of differentiated payment; higher payment with acceptance of increased responsibility; higher payment as incentive for additional qualification of workers; avoidability of inequality of society; increased income expectation as motivation for taking up studies; good profits for entrepreneurs as best prerequisite for increase in general standard of living; insufficient solidarity of the average population as reason for the persistence of social inequalities; opinion about own salary: actual occupational earning is adequate; income differences are too large in the respondent´s country; responsibility of government to reduce income differences; government should provide chances for poor children to go to university; jobs for everyone who wants one; government should provide a decent living standard for the unemployed and spend less on benefits for poor people; demand for basic income for all; opinion on taxes for people with high incomes; judgement on total taxation for recipients of high, middle and low incomes; justification of better medical supply and better education for richer people; perception of class conflicts between social groups in the country (poor and rich people, working class and middle class, unemployed and employed people, management and workers, farmers and city people, people at the top of society and people at the bottom, young people and older people); salary criteria (scale: job responsibility, years of education and training, supervising others, needed support for familiy and children, quality of job performance or hard work at the job); feeling of a just payment; perceived and desired social structure of country; self-placement within social structure of society; number of books in the parental home in the respondent´s youth (cultural resources); self-assessment of social class; level of status of respondent´s job compared to father (social mobility); self-employment, employee of a private company or business or government, occupation (ILO, ISCO 1988), type of job of respondent´s father in the respondent´s youth; mother´s occupation (ILO, ISCO 1988) in the respondent´s youth; respondent´s type of job in first and current (last) job; self-employment of respondent´ first job or worked for someone else.

Demograpy: sex; age; marital status; steady life partner; education of respondent: years of schooling and highest education level; current employment status; hours worked weekly; occupation (ILO, ISCO 1988); self-employment; supervising function at work; working-type: working for private or public sector or self-employed; if self-employed: number of employees; trade union membership; highest education level of father and mother; education of spouse or partner: years of schooling and highest education level; current employment status of spouse or partner; occupation of spouse or partner (ILO, ISCO 1988); self-employment of spouse or partner; size of household; household composition (children and adults); type of housing; party affiliation (left-right (derived from affiliation to a certain party); party affiliation (derived from...

This dataset is an indication of current support classes operating in NSW public schools. It is not a definitive list of support classes available.

Data notes:

• Data is for government schools and is updated at the beginning of each term.

• Classes will only appear in this dataset if one or more students is enrolled in the class.

• Parents and carers are advised to contact their local public school to discuss all support options available. Applications for support placement are through the Access Request process. An Access Request is usually arranged by the school learning and support team at the local public school, but can also be organised through the local School Services team if a child is not yet enrolled.

• Support types included are:

  • Mild intellectual disability (IM)
  • Moderate intellectual disability (IO)
  • Severe intellectual disability (IS)
  • Range of disabilities with similar support needs (MC multi categorical)
  • Autism (Au)
  • Autism and/or moderate intellectual disability (IO/Au)
  • Physical disability (P)
  • Behavioural issues (BD)
  • Mental health issues (ED emotional disturbance)
  • Blind or vision impaired (V)
  • Deaf or hearing impaired (H)
  • DeafBlind impaired (DB)
  • Disability support prior to school (EI early intervention)

Data source:

• Disability, Learning and Support. NSW Department of Education.