The periodic Retail and Wholesale Industry Surveys (RIS/WIS) provides the primary benchmark estimates for this series.

The value of self-supplied food is included and is based on estimates of the amount of food produced for home consumption from the ABS publication, Home Production of Selected Foodstuffs, Australia.

The following scope and coverage adjustments are made:

• sales of food prepared off premises, sourced from irregular ABS publications:  Accommodation Services, Australia; Clubs, Pubs, Taverns and Bars, Australia; Cafes, Restaurants and Catering Services, Australia; Casinos, Australia; Gambling Services, Australia; Performing Arts, Australia; and Sports and Physical Recreation Services, Australia.
• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to households; and
  • goods purchased on ships and aircraft, flea market sales and sales by NPISH units.
• an estimate for cooked meals by food stores prepared on the premises for consumption off-the-premises is subtracted;
• an estimate for food withdrawn from sale is also removed (this is considered to be an intermediate use of food); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The periodic Retail and Wholesale Industry Surveys (RIS/WIS) provides the primary benchmarks for this series.

The value of home-made alcohol is included and is based on estimates of the amount of alcohol produced for home consumption from the ABS publication, Home Production of Selected Foodstuffs, Australia.

The following scope and coverage adjustments are made:

• sales of alcoholic beverages from service industries sourced from irregular ABS publications:  Accommodation Services, Australia; Clubs, Pubs, Taverns and Bars, Australia; Cafes, Restaurants and Catering Services, Australia; Casinos, Australia; Gambling Services, Australia; Performing Arts, Australia; and Sports and Physical Recreation Services, Australia.
• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to households; and
  • goods purchased on ships and aircraft.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The value of tobacco products consumed by households is estimated using the formula:

Domestic production

                     + imports

                     –  exports

                     –  re-exports

                     + taxes on products

                     + margin estimate

                     = Total consumption.

The value of domestic production is estimated using the estimates of income for sale of goods from the Economic Activity Survey. Exports and re-exports data are obtained from trade data as sourced from the ABS Balance of Payments. Taxes on products are sourced from Government Finance Statistics. Margins data are obtained from the RIS/WIS.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to households; and
  • flea market sales.

• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Census of Population and Housing is the benchmark data source for the number of owner-occupied and rented dwellings and information about rents paid for rented dwellings.

The imputed rent for owner-occupied dwellings is calculated by multiplying average rents (adjusted to exclude rents at less than market value) reported in the census for privately rented dwellings in various categories.

Estimates of imputed rent of owner occupiers for intercensal and post-census periods are obtained by multiplying an estimate of the stock of dwellings by an estimate of the average rent of rented dwellings.

The stock of dwellings is estimated by extrapolating the benchmark estimate. The benchmark stock of dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks.

Private dwellings include separate houses, duplexes, town houses, flats including those which are part of a building that is used for commercial purposes (e.g. a retail shop) and caravans used for long-term accommodation. Additions to the stock are calculated from the number of dwelling completions sourced from the ABS publication, Building Activity, Australia. This is then modified by a factor to take into account other changes to the stock of dwellings (demolitions, net conversions from commercial uses and dwelling completions not in the scope of the survey).

For intercensal periods, this factor is calculated by dividing the change in the stock between the census benchmarks by the total number of dwelling completions in the period. For the post-census period, the factor is assumed to be the same as for the latest intercensal period.

After the latest applied benchmarks from the Census of Population and Housing, the total and owner occupied rent prices have been obtained from a combination of the Survey of Income and Housing (SIH), the CPI and real estate bulletins (Australian Property Monitors and Real Estate Institute of Australia).

These estimates are produced using the same sources as for the estimates of imputed rentals for housing.

The benchmark calculation gives a direct measure of the dwelling rent paid by households to the owners of dwellings.

Data is sourced from the ABS publication, Household Expenditure Survey, Australia: Summary of Results. HES provides the benchmark estimates for this series which includes water and sewerage and waste services.

The following scope and coverage adjustments are made:

• household expenses on water and sewerage service charges for rental and investment properties, which are out of scope of HES - based on HFCE estimates of actual rent for housing and imputed rent for owner occupiers;
• coverage for remote and non-private dwellings which are not in scope of the HES; and
• to capture final consumption expenditure of NPISH units using waste collection and disposal services, based on current grants information sourced from the Government Finance Statistics.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Volume estimates for water and sewerage services are based on the sum of the quarterly volumes.

Annual current price estimates in relation to waste collection and disposal services are re-valued using relevant price deflators from the Consumer Price Index to derive the annual volume estimates.

The Household Expenditure Survey provides the benchmark estimates for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to households;
  • dealers’ margins associated with second-hand goods; and
  • flea market sales and sales by NPISH units.

• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of furnishings and floor coverings in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • flea market sales and sales by NPISH units.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of household textiles in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing and wholesaling units selling directly to households;
  • electricity, gas and water industry units selling directly to households;
  • dealers’ margins associated with second-hand goods; and
  • flea market sales and sales by NPISH units.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore. adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of household appliances in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • flea market sales.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of glassware, tableware and household utensils in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • flea market sales.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of tools and equipment for house and garden in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing and wholesaling units selling directly to households; and
  • flea market sales.
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of non-durable household goods in Australia are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current grants from government to NPISH units providing ambulatory health care sourced from annual time series data from the Government Finance Statistics;
• to capture current grants and donations from corporations and households to NPISH units providing ambulatory health care as extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts;
• household claims from private health insurance funds sourced from the Private Health Insurance Administration Council (PHIAC);
• an estimate of 15 per cent of household claims associated with the health service component of workers’ compensation and motor vehicle and third party insurance sourced from the Australian Prudential Regulation Authority (APRA). This was derived from workers’ compensation and other insurance estimates associated with health services for ANZSIC Subdivision 85 Medical and other health care services, published in Health Care Services; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey (HES) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current grants from government to NPISH units providing ambulatory health care sourced from annual time series data from the Government Finance Statistics;
• to capture current grants and donations from corporations and households to NPISH units providing ambulatory health care as extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts;
• household claims from private health insurance funds sourced from the Private Health Insurance Administration Council (PHIAC); and
• an estimate of 15 per cent of household claims associated with the health service component of workers’ compensation and motor vehicle and third party insurance sourced from the Australian Prudential Regulation Authority (APRA). This estimate was derived from workers’ compensation and other insurance estimates associated with health services for ANZSIC Subdivision 85 Medical and other health care services published in Health Care Services;
• an estimate of household expenses associated with nursing home fees. As nursing homes are not in scope of the HES, direct expenditure on these services is estimated using services income associated with Aged care residential services from the Economic Activity Survey; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Annual volume estimates for healthcare HFCE are estimated in conjunction with volume estimates for health output based on the direct volume index approach and output volume method, as described in Chapter 9, Table 9.30.

Hospital services are provided to both admitted and non-admitted patients, as well as through different settings such as emergency departments. The number of hospital separations, emergency presentations and non-admitted events are used as quantity indicators; direct volume indexes are constructed for admitted patient care, emergency departments and non-admitted patient care services using average costs for weights.

Weights for aggregation are sourced from the Australian Institute of Health and Welfare (AIHW), Government Finance Statistics and Economic Activity Survey. They are used to construct volume indexes for private, public and total hospitals. Other data are sourced from AIHW and the Independent Health and Aged Care Pricing Authority (IHACPA).

Non-hospital services are based on the number of non-hospital services provided, stratified at various levels of procedure type, and weighted together by their respective current price value of expenditures. Data are sourced from Medicare, the Private Health Insurance Administration Council and the Productivity Commission Report on Government Services.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• purchase of vehicles that are out of scope of the survey;
• dealers’ margins on used vehicles traded between households;
• the value of private imports of used vehicles are estimated using data supplied from Customs documentation and an average price for used cars sourced from Vehicle Sales from the Federal Chamber of Automotive Industries (FCAI) publication, Vehicle Facts (VFACTs), or Glass' Automotive Business Intelligence (Glass' Guide); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Annual household expenditure on automotive petroleum and coal products are based on the ABS publication, Survey of Motor Vehicle Use, Australia (SMVU).

The SMVU includes information on the fuel consumption of all motor vehicles by motor vehicle type and the private use of all vehicles by type of vehicle. Using this information and the national average retail price per litre of petrol and diesel sourced from the Australian Institute of Petroleum and the Automotive Petroleum Association, respectively, supplemented by Energy Accounts data, annual estimates of household expenditure for automotive petroleum and coal products are estimated.

The Household Expenditure Survey provides the primary benchmarks for the series relating to pneumatic tyres and tubes for motor cars and motor cycles, motor vehicle engines, chassis and panels; transport equipment not elsewhere classified, motor vehicle repair and maintenance expenditure and miscellaneous motoring expenditure.

The proportion of household claims associated with Motor Vehicle Comprehensive and third party insurance that captures estimates for the repair of accident damage to insured motor vehicles owned by the household sector is also included in compilation of Automotive repair and maintenance services.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture the final consumption expenditure of NPISH units using railway passenger transport services based on current grants information as sourced from the Government Finance Statistics;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES; 
• to capture the final consumption expenditure of NPISH units using road passenger transport services based on current grants information as sourced from the Government Finance Statistics;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture the final consumption expenditure of NPISH units using passenger transport by sea and inland waterway services based on current grants information as sourced from the Government Finance Statistics;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of expenditure on postal services are re-valued using relevant price deflators from the CPI.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture the final consumption expenditure of NPISH units using telecommunication services based on current grants information sourced from the Government Finance Statistics;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price annual estimates of expenditure on telephone and facsimile services are re-valued using relevant price deflators from the Consumer Price Index.

Volume estimates for internet services are based on the sum of the quarterly volumes.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales of recreation and culture sourced from irregular ABS publications:  Accommodation Services, Australia; Clubs, Pubs, Taverns and Bars, Australia; Cafes, Restaurants and Catering Services, Australia; Casinos, Australia; Gambling Services, Australia; Performing Arts, Australia; and Sports and Physical Recreation Services, Australia.
• sales that are out of scope of the RIS/WIS survey, which are:
  • flea market sales and sales by NPISH units.
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to the public;
  • a proportion of caravans used as residences is excluded,
  • dealers’ margins for sales of second-hand boats and caravans, excluding transactions between households; and
  • flea market sales.
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of other major durables for recreation and culture are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to the public;
  • sales of ‘backyard’ pure bred pets based on a historical value extrapolated using a growth rate for retail sales of pets and live animals over the last seven years from RIS/WIS;
  • sales of toys and other goods provided by NPISH units; and
  • flea market sales.
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price annual estimates of purchases of other recreational items and equipment are re-valued using relevant price deflators from the Consumer Price Index.

Household expenditure for sporting and recreational services not elsewhere classified is based on historical estimates which are rolled forward by multiplying movements associated with the estimated resident population and the CPI for the sports participation series.

The Household Expenditure Survey provides the primary benchmarks for this series relating to the cost of hiring entertainment equipment and facilities and sporting and educational services.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES; and
• net expenditure overseas.

Current expenditure of NPISHs providing sporting and recreational services is sourced from current grants to NPISH units providing sporting and recreational services. These data are sourced from Government Finance Statistics and current grants and donations from corporations and households to NPISHs units extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Account.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of expenditures on sporting and recreational services are re-valued using relevant price deflators from the Consumer Price Index.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture the final consumption expenditure of NPISH units providing cultural and entertainment services based on current grants information as sourced from the Government Finance Statistics and donations and sponsorship from households and corporations to NPISH units for providing these services extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Account; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates on Net losses from gambling are sourced from the Australian Gambling Statistics publication (published by the Queensland government). This publication provides comprehensive annual data on gambling in Australia.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• sales of newspapers, books and stationery sourced from irregular ABS publications: Accommodation Services, Australia; Clubs, Pubs, Taverns and Bars, Australia; Cafes, Restaurants and Catering Services, Australia; Casinos, Australia; Gambling Services, Australia; Performing Arts, Australia; and Sports and Physical Recreation Services, Australia.
• sales that are out of scope of the RIS/WIS survey, which are:
  • manufacturing units selling directly to households;
  • sales of books and other goods provided by NPISH units; and
  • flea market sales.
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current grants from government to NPISH units providing education services sourced from annual time series data from Government Finance Statistics;
• to capture current grants and donations from corporations and households to NPISH units providing education services extrapolated from benchmark data in the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts; and
• net expenditure overseas.

The household expenditure associated with the tertiary education services Higher Education Loan Program (HELP) was derived from time series data on HELP provided by the Department of Education.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Annual volume estimates for education are estimated in conjunction with direct volume estimates for education output, as described in Chapter 9, Table 9.29.

The sources used are total numbers of students at both private and government schools, student load of universities, course hours for TAFE and other vocational education providers stratified at various levels of education and weighted together by their respective current price value of expenditures.

Student numbers are sourced from the ABS publication, Schools; annual reports from the departments of Education and Employment for school and university students; and data from the National Centre for Vocational Education Research (NCVER) for vocational students.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current grants from government to NPISH units providing catering services as sourced from annual time series data from Government Finance Statistics, and
• to capture current grants and donations from corporations and households to NPISH units providing catering services as extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

The Household Expenditure Survey provides the primary benchmarks for this series.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current grants from government to NPISH units providing accommodation services as sourced from annual time series data from Government Finance Statistics, and
• to capture current grants and donations from corporations and households to NPISH units providing accommodation services as extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts; and
• net expenditure overseas.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Expenditures on accommodation services by Australian residents are re-valued using relevant price deflators from the Consumer Price Index.

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for the series relating to personal outlays on personal care products such as perfume, cosmetics and soap.

The Household Expenditure Survey (HES) provides the benchmarks for miscellaneous services including hair dressing and beauty salon services.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • sales on aircraft and ships; and
  • flea market sales.
• coverage for remote and non-private dwellings which are not in scope of the HES;
• current grants from government to NPISH (sourced from annual Government Finance Statistics); and
• net expenditure overseas.

For the years where RIS/WIS and HES data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS and HES benchmarks become available a linear interpolation technique is used to align the current estimates to best fit the linear model between the benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Expenditures on personal care by Australian residents are re-valued using relevant price deflators from the Consumer Price Index.

Personal effects

The periodic Retail and Wholesale Industry Survey (RIS/WIS) provides the primary benchmarks for this series relating to personal outlays on jewellery and watches etc.

The following scope and coverage adjustments are made:

• sales that are out of scope of the RIS/WIS survey, which are:
  • sales on aircraft and ships, and
  • flea market sales.
• current grants from government to NPISH (sourced from annual Government Finance Statistics), and
• net expenditure overseas.

For the years where RIS/WIS data are not available the annual estimate is the sum of the four quarters.

When the next RIS/WIS benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Expenditures on personal effects by Australian residents are re-valued using relevant price deflators from the Consumer Price Index.

This is the service charge for insuring householders' furniture and effects, generally called home contents insurance. Insurance of the dwelling itself is excluded from household final consumption expenditure as it is considered to be part of the intermediate consumption of the industry, Ownership of dwellings.

Premiums and claims for Homeowner and Household Insurance are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulatory Authority (APRA) in quarterly, half-yearly and annual bulletins.

Expected claims are derived by using a centred five-year moving average of claims incurred.

Premium supplements are calculated using the proportion of Homeowner and Household premiums to total general insurance premiums multiplied by total investments earnings on general insurance technical reserves.

Premium supplements are added together with personal premiums to give the total value of premiums.

Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure.

Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and the supply proportion of Government taxes on insurance n.e.c. for other taxes on products.

Motor vehicle insurance service charges cover both compulsory third party (personal injury) insurance, and comprehensive and third party property insurance on motor vehicles.

Premiums and claims for motor vehicle property and compulsory third party (personal injury) insurance are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the APRA in quarterly, half-yearly and annual bulletins.

APRA data are classified in a consistent manner to national accounts requirements. Domestic comprehensive motor vehicle insurance is applicable directly to household final consumption expenditure, commercial comprehensive motor vehicle insurance is categorised to business and government. Compulsory third party motor vehicle insurance for householders is obtained by multiplying total compulsory third party motor vehicle insurance by the proportion of personal vehicles to business and government vehicles from the ABS Survey of Motor Vehicle Use, Australia.

Expected claims are derived by using a centred five-year moving average of claims incurred.

Premium supplements are added together with personal premiums to give the total value of premiums for both motor vehicle property and compulsory third party (personal injury) insurance. Premium supplements for each type of motor vehicle insurance are calculated using the proportion of motor vehicle insurance premiums to total general insurance premiums multiplied by total investment earnings on general insurance technical reserves.

Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure.

Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and the direct amount of government third party insurance taxes for other taxes on products.

The insurance service charge for health insurance is calculated in the same way as for general insurance of householders' effects.

Information about premiums paid and claims incurred by households from health insurers is sourced from the Private Health Insurance Administration Council publication, Operations of the Registered Health Benefits Organisations.

Expected claims are derived by using a centred five-year moving average of claims incurred.

Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure.

 Premium supplements are added together with personal premiums to give the total value of premiums. Premium supplements are calculated by dividing health insurance premiums by total general insurance premiums multiplied by investment earnings on general insurance technical reserves.

The Medicare levy paid by individuals is considered to be an element of income tax levied by the Commonwealth Government. As such, it is not included in household final consumption expenditure.

This is the service charge for various classes of insurance which are taken out by households, but which have not been explicitly discussed above. Included are travel, consumer credit, marine hull, and sickness and accident.

Premiums and claims for the relevant classes of insurance business are obtained from Quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulation Authority in quarterly, half-yearly and annual bulletins.

The households' share of both premiums and claims for each class of business are estimated using available information and subjective judgement.

Expected claims are derived by using a centred five-year moving average of claims incurred.

Premium supplements are added together with personal premiums to give the total value of premiums.

Premium supplements are calculated using the proportion of households' premiums for the relevant classes of business to total general insurance premiums, multiplied by total investment earnings on general insurance technical reserves.

Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure.

Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and supply proportions of government taxes on insurance n.e.c. for other taxes on products.

Premiums and contributions paid by policyholders to life insurance corporations and superannuation are considered to include an insurance service charge element. A proportion of life insurance and superannuation premiums/contributions is actually paid by employers on behalf of their employees. However, for national accounts purposes these premiums are included in employers' social contributions, which is a component of compensation of employees. The employee pays the insurance service charge (a component of household final consumption expenditure) and invests in life insurance and superannuation funds recorded in the household financial account.

For life insurance corporations and friendly societies, the insurance service charge is equal to the cost of running the business plus a profit margin. The service charge is compiled from data on life insurance statutory funds available from Quarterly Life Insurance Performance Statistics; half-yearly Life Insurance Bulletin and the Annual Friendly Society Bulletin, published by the Australian Prudential Regulatory Authority. The profit margin is calculated by estimating a proxy return on equity (where the return on equity is defined as gross operating surplus over shareholders' funds).

For pension funds the insurance service charge is equal to cost of running the fund, included are administrative and investment expenses. The service charge is compiled from data on pension funds available from the ABS publications, Managed Funds, Australia  and Australian National Accounts: Finance and Wealth; and the APRA publications, Superannuation Performance Statistics and the Annual Superannuation Bulletin.

Taxes on products are added to derive a purchases price value. Other taxes on products are allocated to this product using supply proportions of government taxes on insurance n.e.c.

The insurance service charge for workers’ compensation insurance paid by employers is included in household final consumption expenditure. The insurance service charge measures the value of services provided by the insurance enterprises in arranging payments for claims in exchange for the receipts of premiums.

Premiums and claims for the relevant classes of insurance business are obtained from, quarterly General Insurance Performance Statistics; General Insurance Supplementary Statistical Tables; half-yearly General Insurance Bulletin and Selected Statistics on the General Insurance Industry, published by the Australian Prudential Regulation Authority in quarterly, half-yearly and annual bulletins.

Premium supplements are added together with personal premiums to give the total value of premiums. Premium supplements are calculated using the proportion of workers’ compensation insurance premiums to total general insurance premiums, multiplied by total investment earnings on general insurance technical reserves. Personal premiums paid plus premium supplements less expected personal claims incurred gives the value of the service charge which is included in household final consumption expenditure.

Taxes on products are added to derive a purchases price value. Taxes on products are allocated to this product using a number of methods. These include the proportion of GST from net of premiums less claims and supply proportion of government taxes on insurance n.e.c. for other taxes on products.

The initial data is compiled at the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

The SUPC level data are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of insurance services are re-valued using relevant price deflators from the CPI.

The scope of this item is household expenditure, both actual and imputed, on services provided by financial institutions other than insurers. Three broad categories of expenditure are covered.

The first relates to the charges that households pay explicitly to financial institutions for services rendered. Examples are account-keeping fees; commission on money orders, travellers' cheques and overseas drafts; brokerage on share trading; and financial advisers' charges.

The second covers taxes on production and imports levied by general government on financial transactions undertaken by households. Examples are financial institutions duty and stamp duty incurred by trading in financial instruments. The stamp duty payable on the transfer of titles to residential property is treated as part of the transfer costs of ownership of dwellings (which are included in gross fixed capital formation) and as such is not part of household final consumption expenditure.

The last component is the indirectly charged service charges of banks and other similar financial intermediaries. In the national accounts an imputation is made for the value of the services provided by financial intermediaries; that is, Financial Intermediation Services Indirectly Measured (FISIM). It is estimated by reference to the difference in interest rates offered to borrowers and depositors and the average levels of outstanding loans and deposits. The payment for financial services is implicit in both the higher interest paid by borrowers and the lower interest received by depositors. That part of this service which relates to personal loans to households to finance household consumption and household deposits held by financial intermediaries is regarded as being paid by persons and included in household final consumption expenditure. FISIM relating to mortgages on dwellings owned by persons is not included in household final consumption expenditure, but is treated as a component of intermediate consumption in the calculation of gross operating surplus for dwellings owned by persons.

The total value of explicit charges (e.g. account-keeping fees; commission on money orders; travellers' cheques and overseas drafts; brokerage on share trading; and financial advisers' charges) paid by households is calculated using data from the following sources:

• Banks', Credit Unions' and Building Societies' performance statistics published quarterly by the Australian Prudential Regulatory Authority (APRA);
• the Reserve Bank of Australia's Statistical Bulletin;
• suite of APRA forms – quarterly Bank Statement of Financial Performance and quarterly Registered Financial Corporations Statement of Financial Performance; and
• Economic Activity Survey

Taxes on products are added to derive a purchases price value. Taxes and subsidies on products are allocated to specific products using a number of methods. These include household final consumption expenditure proportions in the case of the Goods and Services Tax and supply proportions for other taxes on products.

FISIM is estimated as the difference between the interest rates on loans and deposits and a pure or reference rate of interest, multiplied by the level of loans and deposits, respectively. The total value of FISIM paid by households is calculated using data from the following sources:

• Balance sheets:
  • ABS, Australian National Accounts: Finance and Wealth;
  • Australian Prudential Regulatory Authority (APRA) Monthly Bank Statement of Financial Position– detail breakdown for bank loans and deposits;
  • ABS, Assets and Liabilities of Australian Securitisers; and
  • Reserve Bank of Australia’s (RBA) Statistical Bulletin.
• Income and expenditure:
  • RBA: Annual Report; Financial Stability Report (6 monthly); Statement of Monetary Policy (quarterly);
  • ABS publications: Balance of Payments and International Investment Position; Statistics of Financial Institutions  (note: Statistics of Financial Institutions has ceased but for completeness it is included as the data in this publication still underpins the estimates);
  • ABS collections – Economic Activity Survey, quarterly Survey of Financial Information, Government Finance Statistics;
  • suite of APRA forms – quarterly Bank Statement of Financial Performance and quarterly Registered Financial Corporations Statement of Financial Performance;
  • APRA publications:  quarterly Banks, Building Societies and Credit Unions Performance Statistics; and
  • ad hoc reports: annual reports for small subsectors such as listed investment companies, bank annual reports and private consultant banking reports.
• Interest rates:
  • RBA Statistical Bulletin.

To compile household final consumption expenditure FISIM estimates for banks, other depository corporations and securitisers, the total interest receivable and payable estimates by financial instruments (i.e. deposits, bills of exchange, one-name paper, bonds and loans) and counterparty sector and subsector flows for the following five sectors and subsectors are compiled:

• Rest of the world;
• Reserve Bank of Australia;
• Banks;
• Other depository corporations;
• Securitisers.

Three datasets are required to compile the interest flows, namely:

1. total interest payable and receivable;
2. interest rates for relevant financial instruments for various sectors and subsectors; and
3. balance sheets for the five sectors and subsectors.

The next step is to calculate FISIM for loans and deposits (banks and other depository corporations) and for loans (securitisers). That is:

• For banks and other depository corporations, FISIM is derived as the sum of the counterparty sector and subsector stock levels of loans and deposits; that is:

[(counterparty loan rate – reference rate) * counterparty stock of loans] + [(reference rate – counterparty deposit rate) * counterparty stock of deposits]

where the reference rate is the mid-point between the average interest rate on loans and the average interest rate on deposits.

• For securitisers, FISIM is derived as the sum of the counterparty sector and subsector stock levels of loans; that is:

[(counterparty loan rate – reference rate) * counterparty stock of loan]

where the reference rate is the weighted average bond yield.

The above calculations are undertaken in separate loan and deposit FISIM tables for each of the three FISIM generating institutions. Each table captures the counterparty sector and subsector loan and deposit balances, their respective interest flows and interest margins and the subsequent FISIM estimates.

The FISIM tables mentioned above for loans and deposits enable the allocation of FISIM by final use (i.e. household final consumption expenditure), exports and intermediate use directly.

The initial data is compiled at the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

The SUPC level data are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results. For more information on the product flow method refer to Chapter 7.

Current price estimates of purchases of direct financial services by Australian residents are re-valued using relevant price deflators from the CPI.

The detailed information from the current price FISIM loan and deposit tables for the four financial intermediaries (i.e. banks, other depository corporations, central borrowing authorities and securitisers) are used to construct chain volume measures.

Chain volume FISIM measures are produced for the total, household final consumption expenditure, intermediate use of ownership of dwellings, intermediate use by general government, total intermediate use, exports and imports:

Laspeyres chain volume estimates of balances (loans and deposits) by counterparty sectors and subsectors are calculated by deflating the current price estimates using the All groups CPI.

The deflated loans and deposits are multiplied by the associated interest margin for the previous year to produce estimates of FISIM in prices of the previous year.

The estimates in the previous step are summed across the four financial intermediaries to produce Laspeyres chain volume estimates of total FISIM, final use (i.e. household final consumption expenditure), exports, imports, total intermediate use and dwellings and general government intermediate use.

The Household Expenditure Survey provides the primary benchmarks for miscellaneous services including personal outlays on dry cleaning, photographic services, laundering, removalist services, funeral services and professional services (other than health care services) such as legal and accounting services.

The following scope and coverage adjustments are made:

• coverage for remote and non-private dwellings which are not in scope of the HES;
• to capture current expenditure of NPISH units providing professional services such as other social assistance services not elsewhere classified (including elderly, disabled, marriage and adoption services), legal services as compiled based on current grants from government to NPISH units as sourced from annual time series data from Government Finance Statistics;
• to capture current grants and donations from corporations and households to NPISH units providing childcare services, interest groups not elsewhere classified (including welfare fundraising services) as extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts, and
• net expenditure overseas.

Current expenditure on NPISHs such as religious services are sourced from current grants and donations from corporations and households to NPISH units providing religious services extrapolated from the ABS publication, Australian National Accounts: Non-Profit Institutions Satellite Accounts.

For the years where HES data are not available, the annual estimate is the sum of the four quarters.

When the next HES benchmark becomes available a linear interpolation technique is used to align the current estimates to best fit the linear model between the two benchmarks.

The initial data is compiled according to the COICOP classification. This is mapped to the Input-Output Product Classification (IOPC) level. The IOPC level is then aggregated to the Supply-Use Product Classification (SUPC) level.

Supply and Use balancing process

The HFCE estimates at the SUPC level are inserted into the Use table which is balanced with the Supply table at the product level using the product flow method. Therefore, adjustments are likely to be applied to the initial HFCE estimate to obtain a balance between supply and use. The adjustments are determined by confronting the supply and use data with industry association data, annual reports of significant units within the industry, as well as other relevant ABS survey results.

For more information on the product flow method refer to Chapter 7.

Current price estimates on household expenditures on other goods and services by Australian residents are re-valued using relevant price deflators from the Consumer Price Index.

Quarterly indicator series for Food and non-alcoholic beverages are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys (RIS/WIS).

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Food and non-alcoholic beverages past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• backyard production; and
• underground (or cash) economy.

Current price estimates of purchases of food and non-alcoholic beverages by Australian residents in Australia are re-valued using a weighted average of components from the CPI Food and non-alcoholic Beverages group.

Current price estimates of purchases of food and non-alcoholic beverages by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of Food and non-alcoholic beverages are derived by aggregating the elemental volume components above.

Quarterly indicator series for Alcoholic beverages are derived by weighting together series from the ABS publication, Retail Trade, Australia and the quarterly Business Indicators: Australia, based on weights from the 20012-13 Retail and Wholesale Industries Surveys.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Alcoholic beverages past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• backyard production; and
• taxes refunded through the Tourist Refund Scheme.

Current price estimates of purchases of alcohol by Australian residents in Australia are re-valued using a weighted average of components from the CPI Alcoholic beverages sub-group.

Current price estimates of purchases of alcohol by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of Alcoholic beverages are derived by aggregating the elemental volume components above.

The quarterly indicator for Cigarettes and tobacco is derived using price and quantity information sourced from the scanner data of the major supermarket chains. The data contains product codes (SKUs), product descriptions, prices, quantities and store metadata. SKUs are aggregated into five major categories: cartons, packs (normal cigarettes and cigars), grams of leaf tobacco sold, filters and papers.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Cigarettes and tobacco past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of purchases of cigarettes and tobacco by Australian residents in Australia are re-valued using the CPI for Tobacco.

Current price estimates of purchases of cigarettes and tobacco by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of Cigarettes and tobacco are derived by aggregating the elemental volume components above.

Quarterly indicator series for Clothing and footwear are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Clothing and footwear past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• repair and maintenance;
• taxes refunded through the Tourist Refund Scheme; and
• underground (or cash) economy.

Current price estimates of purchases of clothing and footwear by Australian residents in Australia are re-valued using a weighted average of components from the CPI Clothing and footwear group.

Current price estimates of purchases of clothing and footwear by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of Clothing and footwear are derived by aggregating the elemental volume components above.

Quarterly estimates of the imputed rent of owner-occupiers are obtained by multiplying the stock of owner-occupied dwellings by the average rent paid.

Information regarding the stock of owner-occupied dwellings and the rents paid for those dwellings are obtained from the Census of Population and Housing, conducted every five years.

The stock of owner-occupied dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks. Private dwellings include separate houses, duplexes, townhouses, flats (including those which are part of a building that is used for commercial purposes such as a retail shop) and caravans used for long-term accommodation.

For intercensal and post-Census periods, the stock is moved forward using the number of dwelling unit completions from the ABS publication, Building Activity, Australia. This is then modified by a factor to take account of other changes to the stock of dwellings; that is, demolitions, net conversions from commercial uses and dwelling completions not in the scope of the survey. For intercensal periods, this factor is calculated by dividing the change in the stock of owner-occupied dwellings between Census benchmarks by the total number of dwelling completions in the period. For the post-Census period, the factor is assumed to be the same as that for the latest intercensal period.

The benchmark average rent paid for owner-occupied dwellings is calculated by multiplying average rents reported in the Census (adjusted to exclude rents at less than market value) for privately rented dwellings in various categories (major urban, other urban, rural etc., cross-classified by the structure of the dwelling and number of bedrooms) by the number of owner-occupied dwellings in those same categories.

For intercensal and post-Census periods, the benchmark average rent paid is updated using data from the Survey of Income and Housing, and industry reports from Australian Property Monitors (APM) and the Real Estate Institute of Australia (REIA).

The latest benchmark of average rent paid is moved forward using a weighted average of price indexes from the CPI for privately-owned dwelling rents. The weights used have been derived from the Census of Population and Housing.

Separate estimates of imputed rentals for housing are published on an annual basis in Australian System of National Accounts.

Quarterly estimates of actual rent for housing is the difference between total dwelling rent and the imputed rent of owner-occupiers.

Separate estimates of actual rent for housing are published on an annual basis in Australian System of National Accounts.

Quarterly estimates of total dwelling rent (the imputed rent of owner-occupiers plus actual rent paid by renters) are obtained by multiplying the total stock of dwellings by the average rent paid.

Similar to imputed rentals for housing, information regarding the stock of total dwellings and rents paid is obtained from the Census of Population and Housing.

The stock of total dwellings includes all occupied private dwellings and a proportion of unoccupied private dwellings but excludes short-term caravans in caravan parks. Private dwellings include separate houses, duplexes, townhouses, flats (including those which are part of a building that is used for commercial purposes such as a retail shop) and caravans used for long-term accommodation.

For intercensal and post-Census periods, the stock of total dwellings is again moved forward using the number of dwelling unit completions from the ABS publication,  Building Activity, Australia. This is then modified by a factor to take account of other changes to the stock of dwellings; that is, demolitions, net conversions from commercial uses, and dwelling completions not in the scope of the survey. For intercensal periods, this factor is calculated by dividing the change in the total stock of dwellings between Census benchmarks by the total number of dwelling completions in the period. For the post-Census period, the factor is assumed to be the same as that for the latest intercensal period.

The benchmark for average rent paid is calculated by multiplying the average rents reported in the Census (adjusted to exclude rents at less than market value) for privately rented dwellings in various categories (major urban, other urban, rural, etc., cross-classified by the structure of the dwelling and number of bedrooms) by the number of rented dwellings in those same categories.

For intercensal and post-Census periods, the benchmark average rent paid is updated using data from the Survey of Income and Housing, and industry reports from Australian Property Monitors and the Real Estate Institute of Australia.

The latest benchmark of average rent paid is moved forward using a weighted average of price indexes from the CPI for privately-owned and government-owned dwelling rents. The weights used have been derived from the Census of Population and Housing.

Quarterly volume estimates for total rent for housing are obtained by quantity revaluing the current price estimates using the average net capital stock of dwellings. Quarterly estimates of capital stock are derived by linearly interpolating and extrapolating the annual estimates.

Initial State allocations are derived using estimated resident population.

Quarterly indicator series for other services related to the dwelling are derived by multiplying estimated resident population by the CPI for water and sewerage.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for other services related to the dwelling past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

No additional adjustments are made to current price estimates of other services related to the dwelling.

Quarterly indicators for household expenditure on electricity and gas are derived using Energy Retailing Survey (ERS) data from the Survey of Consumer Sales (SOCS) in Table 17 of Retail Trade, Australia. The ERS covers registered electricity and gas suppliers to households.

The quarterly indicator series for other household fuels is derived from sales of heating oil and kerosene from the monthly Australian Petroleum Statistics report, published by the Department of Industry, Science, Energy and Resources (DISER), together with price data from the CPI for gas and other household fuels.

These indicator series are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates for electricity and gas are derived from the national estimates using the relative proportions in the indicator series. Other household fuels is apportioned according to data from the Household Expenditure Survey, Australia: Summary of Results.

No additional adjustments are made to current price estimates of Electricity, gas and other fuels.

Quarterly indicator series for furniture and furnishings, carpets and other floor coverings are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for furniture and furnishings, carpets and other floor covering past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• underground (or cash) economy.

Current price estimates of purchases of furniture and furnishings, carpets and other floor coverings in Australia are re-valued using the CPI for Furniture and furnishings.

Quarterly indicator series for household textiles are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Surveys.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for household textiles past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• taxes refunded through the Tourist Refund Scheme.

Current price estimates of purchases of household textiles in Australia are re-valued using a weighted average of relevant components from the CPI.

Quarterly indicator series for household appliances are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for household appliances past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• repairs and maintenance.

Current price estimates of purchases of household appliances in Australia are re-valued using a weighted average of relevant components from the CPI Household appliances, utensils and tools sub-group.

Quarterly indicator series for glassware, tableware and household utensils are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for glassware, tableware and household utensils past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• taxes refunded through the Tourist Refund Scheme.

Current price estimates of purchases of glassware, tableware and household utensils in Australia are re-valued using a weighted average of relevant components from the CPI Household appliances, utensils and tools sub-group.

Quarterly indicator series for tools and equipment for house and garden are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for tools and equipment for house and garden past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• repairs and maintenance.

Current price estimates of purchases of tools and equipment for house and garden in Australia are re-valued using the CPI for Tools and equipment for house and garden.

Quarterly indicator series for non-durable household goods are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for non-durable household goods past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• repairs and maintenance.

Current price estimates of purchases of non-durable household goods in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of purchases of furnishings and household equipment by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of purchases of furnishings and household equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving the chain volume estimates of furnishings and household Equipment, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the sum of the other elemental volume components above.

Quarterly indicator series for total expenditure on medicines, medical aids and therapeutic appliances are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator includes both household (out-of-pocket) and government (benefit) expense. HFCE captures the out-of-pocket expenditure of households on medicines, medical aids and therapeutic appliance, so an adjustment is made to remove the government contribution. Government Finance Statistics provide an estimate of the benefits paid by the Government as part of the Pharmaceutical Benefits Scheme. This estimate, at the national level, is apportioned across each State and Territory based on the relative proportions in the indicator series above.

These amounts are then deducted from the retail-based series to obtain indicators for household expenditure on medicines, medical aids and therapeutic appliances.

The national indicator derived from this process is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for medicines, medical aids and therapeutic appliances past the latest available benchmark.

State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

A further adjustment is made to remove cosmetic and toiletry goods retailing which is included in the Retail Trade indicator for medicines, medical aids and therapeutic appliances. Cosmetic and toiletry goods retailing products are captured in personal care products under the Other goods and services COICOP category.

Current price estimates of purchases of medicines, medical aids and therapeutic appliances in Australia are re-valued using the CPI for Pharmaceutical products.

Quarterly indicator series for total expenditure on ambulatory health care are compiled using data from Services Australia on the fees charged for medical services and procedures where Medicare benefits were paid, as well as information from the Private Health Insurance Administration Council’s (PHIAC) A report on the private health insurance claims by households.

Government Finance Statistics provide an estimate of the benefits paid by the Government under Medicare. This estimate, at the national level, is apportioned across each State and Territory based on the relative proportions in the indicator series above.

These amounts are deducted from DoH and PHIAC based series to obtain indicators for household expenditure on ambulatory health care.

The national indicator derived from this process is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for ambulatory health care past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of purchases of ambulatory health care in Australia are re-valued using relevant components from the CPI Health group.

The Private Health Insurance Administration Council’s series on health insurance benefits paid for hospital care is used as the quarterly indicator for household expenditure on private hospitals.

The indicator for fees paid to public hospitals, nursing homes, and for ambulance services is data from the Department of Health on the fees charged for medical services and procedures where Medicare benefits were paid.

These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for hospital, ambulance services and nursing home care past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas

Current price estimates of purchases of hospital, ambulance services and nursing home care are re-valued using relevant component of the CPI Medical, dental and hospital services sub-group.

Current price estimates of purchases of health by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Current price estimates of purchases of health by non-residents in Australia as re-valued using a weighted average of relevant components from the CPI Health group.

In deriving chain volume estimates of health, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the sum of the other elemental volume components above.

The number of new motor vehicle sales by type of vehicle and sector (private, business and government), and the average price of these sales are obtained quarterly from the Federal Chamber of Automotive Industries’ VFACTS report.

From these data, the quarterly indicator series for purchase of new motor vehicles is derived by multiplying the number of sales of each type of vehicle by their average sale price and aggregating.

The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series.

No additional adjustments are made to current price estimates of new motor vehicles purchases.

Quarterly indicator series for purchases of used vehicles from other sectors are based on movements in the average value of new motor vehicle purchases from [q-6] to [q-12].

The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series.

No additional adjustments are made to current price estimates of used vehicles from other sectors.

Quarterly indicator series for dealers’ margins on used vehicles traded between households through dealers are based on movements in the average value of new motor vehicle purchases from [q-6] to [q-12].

The indicators for all the subcomponents of this COICOP category (New motor vehicles, used vehicles from other sectors and Dealers’ margins) are summed to derive an indicator for total purchase of vehicles. The aggregated indicator is used to allocate benchmarked annual estimates of purchase of vehicles to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for purchase of vehicles is apportioned across each State/Territory using the relative proportions in the indicator series.

No additional adjustments are made to current price estimates of dealers’ margins.

Current price estimates of purchases of motor vehicles by Australian residents in Australia are re-valued using the CPI for Motor vehicles.

Current price estimates of purchases of motor vehicles by Australian residents overseas are re-valued using a composite index of overseas CPIs.

Chain volume estimates of purchase of vehicles are derived by summing the elemental volume components above.

The quarterly indicator for household expenditure on fuel is derived from petroleum sales volumes from the Department of Industry, Science, Energy and Resources (DISER) publication, Australian Petroleum Statistics, together with price data from the CPI for Automotive fuel.

The quarterly indicator for household purchases of tyres is private kilometres travelled from the Survey of Motor Vehicle Use (SMVU) multiplied by the CPI for Spare parts and accessories for motor vehicles.

The quarterly indicator for household expenditure on batteries and car accessories is derived from the number of vehicles registered to households and price data from the CPI.

These indicators are aggregated to derive an indicator for total motoring goods, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for motoring goods is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results.

The following adjustment is made:

• net expenditure overseas.

The quarterly indicator for household expenditure on repairs and servicing is private kilometres travelled from the SMVU, multiplied by the CPI for Maintenance and repair of motor vehicles.

For panel beating and smash repairs, the indicator is the number of vehicles registered to households multiplied by the CPI for Motor vehicle insurance.

These indicators are aggregated to derive an indicator for total repair and maintenance expenditure, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for repair and maintenance expenditure is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary or Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

The quarterly indicator for miscellaneous motoring expenses paid by households is the CPI for Other services in respect of motor vehicles multiplied by the number of vehicles registered to households.

This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for miscellaneous motoring expenditure is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of expenditures on operation of vehicles by Australian residents in Australia are each re-valued using relevant components of the CPI Private motoring sub-group.

Current price estimates of expenditures on operation of vehicles by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of expenditures on operation of vehicles by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving volume estimates of operation of vehicles, the elemental volume estimate of purchases by non-residents in Australia is subtracted from the total of the other elemental volume components above.

Quarterly indicator series for passenger transport by railway are derived using the revenue data of government transport authorities, from Government Finance Statistics, and data from private operators of rail services.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for passenger transport by railway past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of expenditures on passenger transport by railway in Australia are re-valued using the CPI for Urban transport fares.

Quarterly indicator series for household expenditure on bus fares is derived using the revenue data of government transport authorities, from Government Finance Statistics, and data from major private operators of bus services.

For expenditure on taxi and hire car charges, the indicator is the CPI price data on taxi fares, multiplied by an estimate of usage.

These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• underground (or cash) economy.

Current price estimates of expenditures on passenger transport by road in Australia are each re-valued using relevant components of the CPI Transport group.

The quarterly indicator series for domestic air fares is based on revenue data provided by the major airlines.

For international air fares, the indicator is derived using data on imports of transportation services from the ABS Balance of Payments and revenue information provided by the major airlines.

These indicator series are aggregated to derive an indicator for total passenger transport by air, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimates for passenger transport by air are apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Quarterly indicator series for household expenditure on domestic passenger transport by sea are derived using the revenue data of public transport authorities, from Government Finance Statistics.

For international shipping fares, the quarterly data are moved forward using a constant growth rate.

These indicator series are aggregated to derive an indicator for total passenger transport by sea and inland water, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Expenditures on domestic shipping fares in Australia are re-valued using the CPI for Urban transport fares.

Expenditures on overseas shipping fares in Australia are re-valued using a specially constructed cruise ship price index.

Current price estimates of expenditure on transport services by non-residents in Australia are re-valued using the CPI for Urban transport fares.

Current price estimates of expenditures on transport services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving the chain volume estimates of transport services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above.

The quarterly indicator series for postal services is estimated from data provided by Australia Post on the sales of stamps and postage labels, and the hire of mail boxes and bags.

This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for postal services past the latest available benchmark.

The national estimate is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of expenditures on postal services in Australia are re-valued using the CPI for Postal services.

The quarterly indicators for household expenditure on telephone and internet services are derived using the SOCS Communications Services Survey (CSS) in Table 17 of Retail Trade, Australia. The CSS covers registered telecommunication providers to households.

The quarterly indicators for telephone and internet services are aggregated to derive an indicator for total telecommunication services, which is then used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The national estimate for telecommunication services is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Survey of Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of expenditures on telecommunication services in Australia are re-valued using the CPI for Telecommunication equipment and services.

Current price estimates of expenditure on communication services by non-residents in Australia are re-valued using the CPI for Communication.

Current price estimates of expenditures on communication services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving the chain volume estimates of communication services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above.

Quarterly indicator series for audio visual, photographic and data processing equipment and accessories are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• taxes refunded through the Tourist Refund Scheme.

Current price estimates of purchases of audio-visual, photographic and information processing equipment excluding computers in Australia are re-valued using a weighted average of relevant components from the CPI Audio, visual and computing equipment and services sub-group.

Current price estimates of purchases of computer equipment in Australia are re-valued using the CPI for Computing equipment.

Current price estimates of purchases of audio-visual, photographic and information processing equipment by non-residents in Australia are re-valued using a weighted average of relevant components from the CPI Audio, visual and computing equipment and services sub-group.

Current price estimates of purchases of audio-visual, photographic and information processing equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving the chain volume estimates of audio-visual, photographic and information processing equipment, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above.

Quarterly indicator series for other major durables for recreation and culture are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for other major durables for recreation and culture past the latest available benchmark.

State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas

Current price estimates of purchases of other major durables for recreation and culture by Australian residents in Australia are re-valued using a weighted average of components from the CPI Recreation and culture group.

Current price estimates of purchases of other major durables for recreation and culture by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of other major durables for recreation and culture are derived by aggregating the elemental volume components above.

For each of the components of other recreational items and equipment, quarterly indicator series are derived by weighting together the series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level for each of these components is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• repairs and maintenance.

Current price estimates of purchases of other recreational items and equipment by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of purchases of other recreational items and equipment by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of other recreational items and equipment are derived by aggregating the elemental volume components above.

The quarterly indicator series for sporting and recreational services is estimated resident population multiplied by the CPI for Sports participation.

This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for Sporting and recreational services past the latest available benchmark.

The national estimate is apportioned across each State and Territory by applying weights derived from the Household Expenditure Survey, Australia: Summary of Results.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of expenditures on sporting and recreational services in Australia are re-valued using the CPI for Sports participation.

The quarterly indicator for cinema and other admissions is box office takings provided by the Motion Picture Distributors Association of Australia (MPDAA). For Pay TV, the indicator is revenue information from major service providers.

The quarterly indicator for television and video hire is moved forward using series from the ABS publication, Retail Trade, Australia.

Quarterly indicator series for veterinary and other services for pets are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The above indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates for Cinema and other admissions and Pay TV are derived from the national estimates by applying weights from the Household Expenditure Survey, Australia: Summary of Results. State/Territory estimates of Television and video hire and Veterinary and other services for pets are calculated using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• underground (or cash) economy.

Current price estimates of expenditures on cultural and entertainment services in Australia are re-valued using a weighted average of relevant components from the CPI Recreation and culture group.

Quarterly indicators for net losses by resident households on gambling are derived using data provided by Government Finance Statistics. These data include taxes levied on gaming machines, casinos and racing, lottery ticket sales and prizes paid, and TAB turnover and dividends paid.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for net losses from gambling past the latest available benchmark.

State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of net losses from gambling in Australia are re-valued using the All groups CPI excluding medical and hospital services. This treatment is not an attempt to measure the quantum of gambling as such, but rather to estimate the purchasing power, over other consumer goods and services, attributable to net losses from gambling.

Current price estimates of expenditure on recreational and cultural services by non-residents in Australia are re-valued using the CPI for Services.

Current price estimates of expenditures on recreational and cultural services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

In deriving the chain volume estimates of recreational and cultural services, the elemental volume estimate of expenditure by non-residents in Australia is subtracted from the total of the other elemental volume components above.

Quarterly indicator series for newspapers, books and stationery are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for newspapers, books and stationery past the latest available benchmark.

State/Territory estimates are derived from the national estimate using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• underground (or cash) economy.

Current price estimates of purchases of newspapers, books and stationery by Australian residents in Australia are re-valued using the CPI for Newspapers, books and stationery.

Current price estimates of purchases of newspapers, books and stationery by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of newspapers, books and stationery are derived by aggregating the elemental volume components above.

Data on government receipts from the Higher Education Contribution Scheme (HECS), obtained from the Government Finance Statistics, is used as the indicator to compile estimates of expenditure on HECS.

Quarterly indicator series for the remaining components of tertiary education are derived by multiplying estimated resident population by the CPI for Tertiary education.

The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Quarterly indicator series for post-secondary education is derived by multiplying estimated resident population by the CPI for Secondary education.

The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the National estimates using the relative proportions in the indicator series.

The following adjustment is made:

• net expenditure overseas.

The quarterly indicators for household expenditure on government primary and secondary education are benchmarked to the Household Expenditure Survey, Australia: Summary of Results, and moved forward using estimated resident population and CPI price data.

Similarly for private tutoring services, the indicator series are benchmarked to the Household Expenditure Survey, Australia: Summary of Results and moved forward using estimated resident population and the CPI for Secondary education.

Quarterly indicator series for private primary and secondary education are derived by multiplying estimated resident population by the CPI for Secondary education.

The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

The quarterly indicators for preschool education are benchmarked to the Household Expenditure Survey, Australia: Summary of Results and moved forward using estimated resident population and the CPI for Preschool and primary education.

The indicators for all the subcomponents of this COICOP category are summed to derive an indicator for total education. The aggregated indicator is used to allocate benchmarked annual estimates of education to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of purchases of education services by Australian residents in Australia are re-valued using the CPI for Education.

Current price estimates of purchases of education services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of education services are derived by aggregating the elemental volume components above.

Quarterly indicator series for catering are derived by weighting together series from the ABS publications, Retail Trade, Australia and Business Indicators, Australia, based on weights from the 2005-06 Retail and Wholesale Industries Survey.

The indicator at the national level is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates for catering past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• underground (or cash) economy.

Current price estimates of expenditure on catering services by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of expenditure on catering services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of catering services are derived by aggregating the elemental volume components above.

Quarterly indicators for Temporary accommodation services are derived from accommodation turnover data from Business Indicators, Australia.

For hostel accommodation for the aged or handicapped, the indicator is the All groups CPI multiplied by estimated residential population.

These indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of purchases of accommodation services by Australian residents in Australia are re-valued using the CPI for Domestic holiday travel and accommodation.

Current price estimates of purchases of accommodation services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of accommodation services are derived by aggregating the elemental volume components above.

Chain volume estimates of hotels, cafes and restaurants are derived by aggregating the elemental volume estimates.

The quarterly indicator series for hairdressers and beauty salons are benchmarked to the Household Expenditure Survey, Australia: Summary of Results  and moved forward using series from the ABS publication, Retail Trade, Australia.

For perfumes and cosmetics, quarterly indicator series are derived by weighting together series from the ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey.

The indicators for these two subcomponents are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas;
• taxes refunded through the Tourist Refund Scheme; and
• underground (or cash) economy.

Current price estimates of purchases of personal care by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI Furnishings, household equipment and services group.

Current price estimates of purchases of personal care by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of personal care are derived by aggregating the elemental volume components above.

The ABS publication, Retail Trade, Australia  is used as the indicator to derive quarterly estimates for this series.

Quarterly indicator series for both jewellery, watches and clocks and Other personal effects are derived by weighting together series from ABS publication, Retail Trade, Australia, based on weights from the 2012-13 Retail and Wholesale Industries Survey (RIS/WIS).

These indicators at the national level are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the national estimates using the relative proportions in the indicator series.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• taxes refunded through the Tourist Refund Scheme.

Current price estimates of purchases of personal effects by Australian residents in Australia are re-valued using a weighted average of relevant components from the CPI.

Current price estimates of purchases of personal effects by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of personal effects are derived by aggregating the elemental volume components above.

Quarterly estimates of Life insurance and superannuation are derived using an indicator of the insurance service charge for pension funds and life insurance. (See the methodology for current price insurance services output indicator described for quarterly gross value added (GVA), Insurance and superannuation funds in Table 9.64.)

This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

Quarterly estimates of Workers' compensation are derived using linear trend interpolation and extrapolation of the annual estimates.

Current price estimates of purchases of non-life insurance of householders' effects, other non-life insurance, health insurance and life insurance by Australian residents in Australia are each re-valued using the All groups CPI.

Current price estimates of purchases of motor vehicle insurance by Australian residents in Australia are re-valued using the CPI for Vehicle insurance.

Current price estimates of purchases of workers' compensation by Australian residents in Australia are re-valued using the relevant component of the Wage Price Index.

Current price estimates of purchases of insurance by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of Insurance are derived by aggregating the elemental volume components above.

Quarterly estimates for the explicit charges levied by financial institutions are obtained by linear interpolation and extrapolation of the annual estimates.

Taxes on financial transactions passed on to households are set to a fixed value each quarter.

Quarterly estimates of Financial Intermediation Services Indirectly Measured (FISIM) are obtained using an indicator of the household use of FISIM generated by banks (see the methodology for quarterly gross operating surplus (GOS), financial corporations and quasi-corporations in Table 11.25.)

This indicator is used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

The following scope and coverage adjustments are made:

• net expenditure overseas.

Current price estimates of purchases of explicitly charged financial services by Australian residents in Australia are re-valued using the All groups CPI.

Current price estimates of taxes levied on financial transactions are re-valued using the All groups CPI excluding Housing.

Quarterly estimates of FISIM are obtained using a chain volume indicator of the household sector's use of FISIM generated by banks. (See the methodology for the quarterly gross value-added finance services described in Table 9.62.) This methodology derives a chain volume estimate for bank total FISIM output and the share of its use allocated to household final consumption expenditure (HFCE).

Current price estimates of purchases of financial services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of financial services are derived by aggregating the elemental volume components above.

Chain volume estimates of insurance and other financial services are derived by aggregating the elemental volume estimates for these subcategories.

For dry cleaning and laundering services, the quarterly indicator is estimated resident population multiplied by the CPI for Repairs to household durables.

The quarterly indicator for repair and maintenance not elsewhere included is derived using the estimated resident population estimates and the CPI for Hairdressing and personal grooming services.

For expenditure on funerals, the quarterly indicator is the number of deaths, taken from the ABS publication, National, State and Territory Population.

The quarterly indicators for estimates of household expenditure on child care services are the number of children under 10, from the ABS publication, National, State and Territory Population, and the CPI for Child care.

Household expenditure on photographic services is estimated using the CPI for Photographic services as the indicator.

Estimates of domestic services are moved forward quarterly using estimated resident population and the CPI for Gardening services.

Household expenditure on removalists' services, advertising services, services to students at post-secondary institutions, professional services other than health and other miscellaneous services are all derived using the CPI for Services as the indicator.

The above indicators are used to allocate benchmarked annual estimates to the four quarters of the year, as well as to derive quarterly estimates past the latest available benchmark.

State/Territory estimates are derived from the National using the relative proportions in the indicator series.

Estimates of expenditure on public authority fees (such as passport and marriage certificate charges) are moved forward quarterly using a constant growth rate.

The following scope and coverage adjustments are made:

• net expenditure overseas; and
• underground (or cash) economy.

Quarterly estimates of the current expenditure of non-profit institutions serving households (NPISHs) not elsewhere covered are moved forward using a constant growth rate.

Current price estimates of purchases of other services by Australian residents in Australia are re-valued using relevant components of the CPI and Wage Price Index (WPI).

Current price estimates of purchases of other services by Australian residents overseas are re-valued using a composite index of overseas CPIs adjusted for exchange rate changes.

Chain volume estimates of other services are derived by aggregating the elemental volume components above.