This dataset presents information from 2016 at the household level; the percentage of households within each Index of Household Advantage and Disadvantage (IHAD) quartile for Statistical Area Level 1 (SA1) 2016 boundaries. The IHAD is an experimental analytical index developed by the Australian Bureau of Statistics (ABS) that provides a summary measure of relative socio-economic advantage and disadvantage for households. It utilises information from the 2016 Census of Population and Housing. IHAD quartiles: All households are ordered from lowest to highest disadvantage, the lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided up into four groups, depending on their score. This data is ABS data (catalogue number: 4198.0) used with permission from the Australian Bureau of Statistics. For more information please visit the Australian Bureau of Statistics. Please note: AURIN has spatially enabled the original data.

This dataset presents information from 2016 at the household level; the percentage of households within each Index of Household Advantage and Disadvantage (IHAD) quartile for Local Government Area (LGA) 2017 boundaries. The IHAD is an experimental analytical index developed by the Australian Bureau of Statistics (ABS) that provides a summary measure of relative socio-economic advantage and disadvantage for households. It utilises information from the 2016 Census of Population and Housing. IHAD quartiles: All households are ordered from lowest to highest disadvantage, the lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided up into four groups, depending on their score. This data is ABS data (catalogue number: 4198.0) used with permission from the Australian Bureau of Statistics. For more information please visit the Australian Bureau of Statistics. Please note: AURIN has generated this dataset through aggregating the original SA1 level data (with calculated number of households/quartile) to LGA level.

The Index of Household Advantage and Disadvantage (IHAD) provides a summary measure of relative socio-economic advantage and disadvantage for households, based on the characteristics of dwellings and the people living within them, using 2021 Census data.

All in-scope households are ordered from lowest to highest score. A low score indicates relatively greater disadvantage and a lack of advantage in general. A high score indicates a relative lack of disadvantage and greater advantage in general.

This dataset presents IHAD data in quartiles. The lowest 25% of households are given a quartile number of 1, the next lowest 25% of households are given a quartile number of 2 and so on, up to the highest 25% of households which are given a quartile number of 4. This means that households are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of households as it depends on the distribution of the IHAD scores. The data is grouped by Statistical Area Level 1 (SA1 2021). SA1s are defined by the Australian Statistical Geography Standard (ASGS) Edition 3.

Key Attributes:

      Field alias
      Field name
      Description


      Statistical Areas Level 1 2021 code
      SA1_CODE_2021
      2021 Statistical Areas Level 1 (SA1) codes from the Australian Statistical Geography Standard (ASGS), Edition 3. SA1s are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.


        Statistical Areas Level 1 2021 name
      SA1_NAME_2021
      2021 Statistical Areas Level 1 (SA1) names from the Australian Statistical Geography Standard (ASGS), Edition 3. SA1s are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.


      Area in square kilometres
      AREA_ALBERS_SQKM
      The area of a region in square kilometres, based on the Albers equal area conic projection.


      Uniform Resource Identifier
      ASGS_LOCI_URI_2021
      A uniform resource identifier can be used in web linked applications for data integration. 


      IHAD quartile 1
      IHAD_QUARTILE1
      Proportion of in-scope dwellings in the SA1 that fall into IHAD quartile 1, indicating relatively greater disadvantage and lack of advantage in general.


      IHAD quartile 2
      IHAD_QUARTILE2
      Proportion of in-scope dwellings in the SA1 that fall into IHAD quartile 2.


      IHAD quartile 3
      IHAD_QUARTILE3
      Proportion of in-scope dwellings in the SA1 that fall into IHAD quartile 3.


      IHAD quartile 4
      IHAD_QUARTILE4
      Proportion of in-scope dwellings in the SA1 that fall into IHAD quartile 4, indicating a relative lack of disadvantage and greater advantage in general.


      Occupied private dwellings
      OPD_2021
      Dwellings in-scope of the IHAD i.e. classifiable occupied private dwellings.


      SEIFA IRSAD quartile
      IRSAD_QUARTILE
      Index of Relative Socio-economic Advantage and Disadvantage quartile. All SA1s are ordered from lowest to highest score, the lowest 25% of SA1s are given a quartile number of 1, the next lowest 25% of SA1s are given a quartile number of 2 and so on, up to the highest 25% of SA1s which are given a quartile number of 4. This means that SA1s are divided into four equal sized groups, depending on their score. In practice these groups won’t each be exactly 25% of SA1s as it depends on the distribution of SEIFA scores.


      Usual resident population
      URP_2021
      Population counts in this column are based on place of usual residence as reported on Census Night. These include persons out of scope of the IHAD.


      Dwellings
      DWELLING
      Total dwellings at Census time, including dwellings out of scope of the IHAD e.g. unoccupied private dwellings.

Data and geography references

Source data publication: Index of Household Advantage and Disadvantage Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Index of Household Advantage and Disadvantage methodology Source: Australian Bureau of Statistics (ABS)

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Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census. SEIFA 2011 is the latest version of this product and consists of four indexes. The Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) summarises information about the economic and social conditions of people and households within an area, including both relative advantage and disadvantage measures. Data last updated: 28th March 2013. Users of this data are advised to carefully read the accompanying information on the SEIFA web page and in the Technical Paper. SEIFA Homepage SEIFA Technical Paper For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census. SEIFA 2011 is the latest version of this product and consists of four indexes. The Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD) summarises information about the economic and social conditions of people and households within an area, including both relative advantage and disadvantage measures. Data last updated: 28th March 2013. Users of this data are advised to carefully read the accompanying information on the SEIFA web page and in the Technical Paper. SEIFA Homepage SEIFA Technical Paper For further information about these and related statistics, contact the National Information and Referral Services on 1300 135 070. Periodicity: 5-Yearly.

Index of Relative Socio-economic Advantage and Disadvantage (IRSAD)The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) summarises information about the economic and social conditions of people and households within an area. This index includes both relative advantage and disadvantage measures.A low score indicates relatively greater disadvantage and a lack of advantage in general. For example, an area could have a low score if there are: many households with low incomes, or many people in unskilled occupations, AND a few households with high incomes, or few people in skilled occupations.A high score indicates a relative lack of disadvantage and greater advantage in general. For example, an area may have a high score if there are: many households with high incomes, or many people in skilled occupations, AND few households with low incomes, or few people in unskilled occupations.IRSAD can be used:as a general measure of advantage and disadvantageto understand disadvantage, and advantageto offset advantage or disadvantage in their analysis.For example, IRSAD may be applicable when the topic being analysed is likely to be affected by both advantage and disadvantage.IRSAD is not recommended for:investigating disadvantage onlycomparing with data that is already included in IRSAD, such as areas with a high proportion of dwellings paying high levels of rent.Index of Relative Socio-economic Disadvantage (IRSD)The Index of Relative Socio-economic Disadvantage (IRSD) is a general socio-economic index that summarises a range of information about the economic and social conditions of people and households within an area. IRSD only includes measures of relative disadvantage.A low score indicates relatively greater disadvantage. For example, an area could have a low score if there are: many households with low income, or many people without qualifications, and many people in low skilled occupations.A high score indicates a relative lack of disadvantage. For example, an area may have a high score if there are: few households with low incomes, few people without qualifications, few people in low skilled occupations.IRSD can be used:to understand an area's relative disadvantage and lack of disadvantageas a broad measure of disadvantage.For example, IRSD may be applicable when a user wants to allocate funds to disadvantaged areas.IRSD is not recommended for:investigating both advantage and disadvantagecomparing with data that is already included in IRSD, such as areas with a high proportion of households with low incomes.Index of Education and Occupation (IEO)The Index of Education and Occupation (IEO) reflects the educational and occupational level of communities. The education variables reflect educational attainment or if further education is being undertaken. The occupation variables are based on the Australian and New Zealand Standard Classification of Occupations (ANZSCO). It classifies the workforce into groups of occupations, skill levels and employment status. Unlike the other indexes IEO does not include any income variables.A low IEO score indicates relatively lower education and occupation levels of people in the area. For example, an area could have a low score if there are: many people without qualifications, or many people in low skilled occupations, or many people unemployed, AND few people with a high level of qualifications or in highly skilled occupations.A high score indicates relatively higher education and occupation status of people in the area in general. For example, an area could have a high score if there are: many people with higher education qualifications or many people in highly skilled occupations, AND few people without qualifications or few people in low skilled occupations.IEO can be used:to understand education and occupation variablesto understand the relationship between income, education, and employment. IEO is not recommended:for investigating disadvantage onlyas a broader measure of advantage and disadvantagefor comparing with data that is already included in IEO, such as unemployment.Index of Economic Resources (IER)The Index of Economic Resources (IER) focuses on the financial aspects of relative socio-economic advantage and disadvantage, by summarising variables related to income and housing. IER excludes education and occupation variables as they are not direct measures of economic resources. It also excludes assets such as savings or equities which, although relevant, cannot be included as they are not collected in the Census.A low score indicates a relative lack of access to economic resources. For example, an area may have a low score if there are: many households with low incomes, or many households paying low rent, AND few households with high income, or few people who own their home.A high score indicates relatively greater access to economic resources. For example, an area may have a high score if there are: many households with high income, or many people who own their home, AND few low-income households, or few households paying low rent.IER is recommended for understanding an area's access to economic resources (e.g. understanding housing as well as income).IER is not recommended:for investigating disadvantage only as this index measures both advantage and disadvantageas a general measure of advantage and disadvantagefor comparing with data that is already included in IER, such as household income.For more information, please visit: Socio-Economic Indexes for Areas (SEIFA), Australia, 2021 | Australian Bureau of Statistics

Data source: ABSEPSG: 7855Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the five-yearly Census of Population and Housing.SEIFA 2016 has been created from Census 2016 data and consists of four indexes: The Index of Relative Socio-economic Disadvantage (IRSD); The Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); The Index of Education and Occupation (IEO); The Index of Economic Resources (IER).Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage.SEIFA indexes1.Index of Relative Socio-economic Advantage / Disadvantage (IRSAD)A composite index where lower scores indicate more disadvantaged areas and higher scores indicate more advantaged areas.This index is constructed using a number of different variables that indicate both advantage (e.g., high income, having a degree qualification) and disadvantage (e.g., unemployment status, low income, number of bedrooms)2.Index of Relative Socio-economic Disadvantage (IRSD)Identifies areas with lower educational attainment, people in low-skilled occupations, low employment and other indicators of disadvantage.This index ranks areas from most disadvantaged to least disadvantaged3.Index of Economic Resources (IER)Includes variables such as rent paid, household income and mortgage payments4.Index of Education and Occupation (IEO)Includes education and occupation variablesSource: SEIFA

The 2019 National Drug Strategy Household Survey was conducted between April and September of 2019 and examines current awareness of attitudes and behaviours toward drugs and drug problems within the Australian community, focussing on respondents' personal attitudes toward drugs, knowledge of drugs and drug histories. The survey included questions regarding respondents' personal drug and alcohol experience and behaviour, opinions on drug policy and legislation, availability of drugs and alcohol, injury and harm from drugs and alcohol, and attitudes towards the use of alcohol and other drugs. The drugs covered included: tobacco/cigarettes, alcohol, pain-killers/pain-relievers and opioids, tranquillisers, heroin, methadone, inhalants, ketamine, GHB, ecstasy, hallucinogens, cocaine, meth/amphetamines, cannabis/marijuana, synthetic cannabis, other psychoactive substances, and steroids. Demographic and background variables included: state of residence, age, sex, marital status, self-assessed health status, sexuality, Indigenous status, country of birth, language spoken at home, employment status, occupation, level of education, income, index of socio-economic advantage and disadvantage, remoteness area and household composition.

Eurobarometer 15 has the following main survey focus areas:

1. the mood and satisfaction of Europeans,

2. attitude to Europe and the European Community and

3. attitude to introduction of a European passport.

Topics: 1. The mood and satisfaction of Europeans: general contentment with life; fundamental philosophy on society; judgement on the importance of political goals in one´s country.

1. Attitude to Europe and the European Community: attitude to unification of Western Europe; judgement on the development of harmony between the nations of the EC; attitude to membership in the community and degree of solidarity with the EC; index of attitude to the European Community; advantages and disadvantages of membership of one´s country in the EC; attitude to remaining or leaving the EC; judgement on solidarity within Europe.

2. Attitude to introduction of a European passport.

3. Miscellaneous: judgement on one´s own opinion leadership; political interest; self-assessment on a left-right continuum; party allegiance and party preference; possession of television set (color or black and white) and average television time per week; preferred types of television broadcasts; postmaterialism index.

Demography: age; sex; marital status; occupational position; company size; household income; household composition; respondent is head of household; party preference (Sunday question); degree of urbanization.

Sampling Procedure Comment: Census; random selection

The occupational situation and next-generation problems of medium-sized companies from the view of various groups in a small town.

Topics: General satisfaction; work satisfaction; professional history, change of occupation and change of place of work; judgement on opportunities to earn and working conditions in the nearer vicinity; advantages and disadvantages of employment in industry; criteria for occupational success; overtime; reduction in working hours; contact with colleagues; attitude to employment of women, lengthening required time in school, day school and Saturday free of school; sociability; leisure activities; media usage; shopping habits and purchases with mail-order firms; social origins; employment of grandfather; vacation and interest in company excursion; cost of living; length of residence; form of housing; rent costs.

Index: extroversion and introversion.

Demography: age (classified); sex; number of children; religious denomination; school education; vocational training; employment; household income; size of household; composition of household; self-assessment of social class; regional origins; refugee status; possession of durable economic goods; membership.

Interviewer rating: willingness of respondent to cooperate; presence of other persons; housing conditions; length of interview; time of day at which interview took place; interview surroundings.

The homeowner vacancy rate in the United States reached its lowest value in 2022, followed by an uptick in 2023. The rate shows what share of owner-occupied housing units were vacant and for sale. That figure peaked in 2008, when nearly three percent of homes were vacant, and gradually fell below one percent after the 2020 housing boom. Homeownership is a form of living arrangement where the owner of the inhabited property, whether apartment, house, or type of real estate, lives on the premises. Due to usually high costs associated with owning a property and perceived advantages or disadvantages associated with such a long-term investment, homeownership rates differ greatly around the world, based on both cultural and economic factors. In Europe, Romania is the country with the highest rate of homeownership, while the lowest homeownership rate was observed in Switzerland. Homeownership attitude in the U.S. Individuals may have very different opportunities or inclination to become homeowners based on nationality, age, financial status, social status, occupation, marital status, education or even ethnicity and whether one is local-born or foreign-born. In 2023, the homeownership rate among older Americans was higher than for younger Americans. In the U.S., homeownership is generally believed to be a good investment, in terms of security (no risk of eviction) and financial aspect (owning a valuable real estate property). In 2023, there were approximately 86 million owner-occupied housing units, a stark increase compared to four decades prior. Why is homeownership sentiment low? The housing market has been suffering chronic undersupply, leading to a surge in prices and eroding affordability. In 2023, the housing affordability index plummeted, reflecting the growing challenge that homeowners face when looking for property. Insufficient income, savings, and high home prices are some of the major obstacles that come in the way of a property purchase. Though affordability varied widely across different metros, just about 15 percent of U.S. renters could afford to buy the median priced home in their area.

Attitude to groups sharing residence.

Topics: Advantages and disadvantages of a group sharing residence; judgement on the chances of groups sharing a residence as form of housing of the future; personal interest in joining a group sharing a residence; self-classification of social class (Kleining-Moore index).

Demography: age; sex; marital status; religious denomination; school education; occupation; employment; size of household; composition of household; city size; state.

Also encoded were: weekday of interview; district code.

Der Eurobarometer 15 hat folgende Befragungsschwerpunkte: 1.) Die Stimmung und Zufriedenheit der Europäer, 2.) Die Einstellung zu Europa und zur Europäischen Gemeinschaftund 3.) Die Einstellung zur Einführung eines europäischen Reisepasses Themen: 1.) Die Stimmung und Zufriedenheit der Europäer:allgemeine Lebenszufriedenheit; Grundeinstellung zur Gesellschaft;Beurteilung der Wichtigkeit politischer Ziele im eigenen Lande. 2.) Einstellung zu Europa und zur Europäischen Gemeinschaft:Einstellung zur Einigung Westeuropas; Beurteilung der Entwicklungdes Einvernehmens zwischen den Staaten der EG; Einstellung zurMitgliedschaft in der Gemeinschaft und Grad der Verbundenheitmit der EG; Index der Einstellung zur Europäischen Gemeinschaft;Vorteile und Nachteile der Zugehörigkeit des eigenen Landes zurEG; Einstellung zu einem Verbleib bzw. Austritt aus der EG;Beurteilung der Solidarität innerhalb Europas. 3.) Einstellung zur Einführung eines europäischen Reisepasses. 4.) Sonstiges: Beurteilung der eigenen Meinungsführerschaft;politisches Interesse; Selbsteinschätzung auf einemLinks-Rechts-Kontinuum; Parteiverbundenheit und Parteipräferenz;Fernsehgerätebesitz (Farbe oder schwarzweiß) und durchschnittlicheFernsehzeit pro Woche; präferierte Arten von Fernsehsendungen;Postmaterialismus-Index. Demographie: Alter; Geschlecht; Familienstand; Berufliche Position;Betriebsgröße; Haushaltseinkommen; Haushaltszusammensetzung; Befragterist Haushaltsvorstand; Parteipräferenz (Sonntagsfrage);Urbanisierungsgrad. Eurobarometer 15 has the following main survey focus areas: 1. the mood and satisfaction of Europeans, 2. attitude to Europe and the European Community and 3. attitude to introduction of a European passport. Topics: 1. The mood and satisfaction of Europeans: general contentmentwith life; fundamental philosophy on society; judgement on theimportance of political goals in one´s country. 2. Attitude to Europe and the European Community: attitude tounification of Western Europe; judgement on the development of harmonybetween the nations of the EC; attitude to membership in the communityand degree of solidarity with the EC; index of attitude to the EuropeanCommunity; advantages and disadvantages of membership of one´s countryin the EC; attitude to remaining or leaving the EC; judgement onsolidarity within Europe. 3. Attitude to introduction of a European passport. 4. Miscellaneous: judgement on one´s own opinion leadership; political interest; self-assessment on a left-right continuum; party allegiance and party preference; possession of television set (color or black and white) and average television time per week; preferred types of television broadcasts; postmaterialism index. Demography: age; sex; marital status; occupational position; companysize; household income; household composition; respondent is head ofhousehold; party preference (Sunday question); degree of urbanization.