Populations are counted and estimated in various ways. The most comprehensive population count available in Australia is derived from the Population and Household Census conducted by the Australian Bureau of Statistics every 5 years.
However the Census count is not the official population of an area. To provide a more accurate population figure which is updated more frequently than every 5 years, the Australian Bureau of Statistics also produces "Estimated Resident Population" (ERP) numbers. Based on population estimates as at 30 June, ERPs take into account people who missed the count on Census night, including people who were temporarily overseas, plus an undercount adjustment for those who did not complete a Census form, and an overcount adjustment for anyone who was double counted.
Estimated Resident Population figures are updated annually taking into account births, deaths, internal and overseas migration. In addition, after every Census, ERP figures for the five previous years are "backcast", using information from the current Census, to ensure the most accurate figures are available.
See the ABS demographic publications, 3101.0 and 3218.0 for further details.
Data source: ABS Australian Demographic Statistics, (catalogue number 3101.0) and Regional Population Growth, (catalogue number 3218.0)
Please note that the local unemployment data are sourced from Small Area Labour Markets, a quarterly publication by the Department of Employment and Workplace Relations. State and National figures are sourced from the ABS Labour Force Survey (Catalogue number 6202.0). The DEWR data uses the labour force survey as a base, and models it to local level using Centrelink data. Because of these different sources, State and National figures are updated monthly, while local unemployment is updated quarterly. The quarterly data actually relates to the entire quarter, not just March, June, September and December as displayed.
All labour force data are subject to sampling error, as they are derived from a sample survey of approximately 29,000 dwellings nationwide.
All labour force data relates to the civilian population aged 15 years and over.
The definition of unemployment used is the standard ABS and international definition - Unemployed persons are defined as all persons aged 15 years and over who were not employed during the reference week, and either had actively looked for full-time or part-time work at any time in the four weeks up to the end of the reference week and were available for work in the reference week, or were waiting to start a new job within four weeks from the end of the reference week and could have started in the reference week if the job had been available then.
Employed persons are those aged 15 years or over who, during the survey reference week, worked for one hour or more for pay, profit or payment in kind in a job or business, or on a farm; or worked for one hour or more without pay in a family business or on a farm; or who had a job but were not at work for a number of specified reasons; or were employers or self-employed persons who had a job, business or farm, but were not at work.
Value of building approval data are sourced from the Australian Bureau of Statistics, Catalogue number 8731.0 – Building Approvals, Australia. This is a monthly publication, with the data here presented quarterly. Data may be revised up to a year after publication.
The value of approval data includes all approved residential building valued at $10,000 or more and all approved non-residential building valued at $50,000 or more. Value of building work excludes the value of land, and also excludes landscaping, but includes site preparation costs. Both new dwellings and alterations and additions to existing dwellings are included in the residential approvals.
Data presented here are the "Original" series, which has not been seasonally adjusted or smoothed to remove anomalies. Seasonal adjustment is not available at a local level, so for comparison purposes the state and national figures shown here are also "Original". Seasonally adjusted and trend figures are more often reported on a national basis by the ABS and the media, so for this reason, the figures shown here may not match those often reported.
The gross domestic product (GDP) is one of the measures of national income and output for a country’s economy. It is the total value of all final goods and services produced in the economy. GDP provides a systematic statistical framework for summarising and analysing economic events, and wealth of an economy.
In Australia, the ABS is responsible for calculating National (GDP) and State (GSP) Gross Product. See ABS Australian National Accounts: National Income, Expenditure and Product, Dec 2007 (Catalogue Number 5206.0) for more information.
Data source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, (catalogue number 5206.0)
(not available for local area)
Retail Trade trends are based on estimates of turnover compiled from the monthly Retail Business Survey (RBS) undertaken by the ABS. It estimates of the value of turnover of retail businesses classified by industry, and by state and territory. It is not available for local areas. See ABS Retail Trade catalogue number 8501.0 for more details.
Data source: Australian Bureau of Statistics. Retail Trade, (catalogue number 8501.0)
The Consumer Price Index (CPI) measures quarterly changes in the price of a 'basket' of goods and services which account for a high proportion of expenditure by the CPI population group (i.e. metropolitan households). This 'basket' covers a wide range of goods and services, arranged in the following eleven groups:
The Consumer Price Index is measured for capital city statistical divisions only, so the state capital is used as a proxy for the whole state, and the Australia-wide index is correctly termed as the "Weighted average of eight capital cities".
CPI is an index designed to measure change over time. See ABS Consumer Price Index, (catalogue number 6401.0) for more details.
Data source: Australian Bureau of Statistics, Consumer Price Index, (catalogue number 6401.0)
These data are based on the National Institute for Economic and Industry Research micro-simulation modelling.
The base data source is the ABS Household Expenditure Survey (HES), (6535.0) conducted every 5 years. These are adjusted based on quarterly estimates of the relative composition of household types within the LGA derived from the ABS Labour Force Monthly Survey (and expenditure profiles of those household types in the HES).
The derived figures are constrained by total LGA household disposable income derived from the other models, and updated quarterly based on changes in state level household consumption figures in the ABS State Accounts data.
Sources used in the model:
Data on this page are sourced from the National Institute for Economic and Industry research modelling tools.
Headline Gross Regional Product is the sum of Industry Gross Product plus Ownership of Dwellings.
The Industry Gross Product is the sum of the industry value-add for each industry present in the area. Value-added is the value of sales generated by each industry, minus the cost of its inputs.
Estimates of gross product and value-added are expressed in constant dollars (adjusted for inflation) to the year specified in the table header.
Ownership of Dwellings includes the value of all rents collected in the area (based on the ABS State Accounts for the relevant time period, and apportioned over regions by means of the distribution of rents present at the last Census), plus a value for "imputed rent" based on owner-occupiers in the area. The rent generated is based on the location of the dwelling, not the landlord, and uses Real Estate Institute data as an estimate of dwelling value.
Data are modelled using the following base datasets:
The expenditure approach is where all forms of final expenditure, including consumption by households, consumption by government, additions or increases to assets (minus disposals) and exports (minus imports) are added. The expenditure approach does not include intermediate expenditure, as this would lead to double-counting. Intermediate expenditure is expenditure by a business on goods and services that are used in the process of production, rather than "end point" consumption. An example of intermediate expenditure is the expenditure by a baker on the flour to produce a loaf of bread. Data on intermediate expenditure and intermediate sales are included in the Industry Sector Profiles part of economy.id® (under Industry Structure).
Please note that these modelled estimates are subject to change. Estimates are reviewed when more recent and robust data becomes available, particularly when new National or State Accounts data are released by the ABS, or new tax office income data are released. Most recent financial year estimates are based on a combination of factors including Centrelink and Labour Force Survey data, which is replaced by ATO income data when it becomes available. As a result of this, revisions to the most recent 6 quarters (18 months) of data should be anticipated by users, which could change the statistical outcomes.
Local GRP gives the value of economic activity which accrues to the local area after taxes and dividends are paid outside the area. It is normally lower than Headline GRP as it does not reflect those elements of economic productivity which accrue to public company shareholders and the federal government outside the area.
Residents GRP is the economic value-added generated by the residents of the area, regardless of where they work. Residents GRP is best thought of as the income received by people in the LGA. Areas with a high Residents GRP and low Local GRP probably export most of their residents to jobs elsewhere, while areas with a high Local GRP and low Residents GRP mainly import their workers.
Local GRP per worker is derived by dividing the Local GRP by the estimate of the number of employed persons in the LGA in the relevant time period. This in turn is derived from the ABS Labour Force survey and State Accounts data.
Worker productivity is calculated by dividing the industry value add by the number of persons employed over the financial year. Regional differences in the worker productivity are inherent in the model, which is based on income tax return information from the ATO, relativities between industries calculated from Census data, and labour force survey information updated annually.
Household disposable income is part of the economic micro-simulation model by NIEIR. It is calculated using the following formula:
Local GRP (residents)- interest paid- taxes+ cash benefits- other payments
Sources used in the model include:
Employment data presented here are estimates based on NIEIR modelling from a number of sources. They are NOT Census figures, and should not be directly compared to the employment numbers in the "Worker Profiles" section of economy.id. They should be a more accurate and up-to-date estimate of employment in the LGA than the Census figures, and give a clear idea of the employment breakdown by industry, however it is not possible to derive the range of worker characteristics from them that are available in Census data, so both versions are presented.
The estimates from NIEIR will generally be higher than the Census figures because they adjust for:
Derivation:Estimates of employment by industry from ATO income tax returns are used by postcode of residence and are converted to LGA of residence. Tax data is used because it is more timely and accurate than Census income data.
The Census undercount listed above is identified and allocated to workplace locations in accordance with the distribution for similar industry types of residents of the LGA who nominated a workplace. The results are then adjusted on a quarterly basis by employment results in the ABS Labour Force Survey. Estimates are also checked against commercial and industrial floorspace completion rates by location and industry in intercensal years.
Full-Time Equivalent employment is actually a representation of Hours Worked estimates from the National Institute for Economic and Industry Research modelling. It is considered an easier way to look at the aggregate hours worked data, which generally involves much larger numbers.
FTE employment is simply aggregate hours worked divided by 38 hours per week, as an estimate of the average full-time worker hours. Note that this means that workers doing more hours than this count in the data as more than one FTE job.
The starting point for estimating hours worked is the estimation of hours and dollars per hour reported at the 1-digit ANZSIC level for States and Territories from the ABS Labour Force Bulletin, which is updated quarterly. These are reconciled to the wages and salaries and mixed income series in the ABS Annual State Accounts, converted to $/hour by estimates of total hours worked by industry from the Labour Force Bulletin. The dataset is smoothed a 7 quarter moving average.
Hours of work by industry and dollars per hour by place of work were estimated using the Census journey to work matrix, adjusted for the net undercount, as described in more detail in the Employment data notes.
The NIEIR modelling uses the ABS Labour Force Survey and ATO data to estimate the number of hours worked in each industry in a given quarter. This is divided by 38 hours per week (representing a full-time week) to get the Full-Time Equivalent employment
As some industries have very high hours of work per individual, in these cases FTE employment can actually be higher than total employment. This is often the case in the Agriculture, Forestry and Fishing industry.
Employment data is sourced from the ABS Census. It is the total number of persons employed in an industry sector, within the local area. For a given industry sector, this number will be the same as that found in the Workforce section of the site (within a small margin of error due to ABS randomisation). For the total of all industries, the number will be slightly less than the total for all industries from the Worker Profiles section, as the summary economic data excludes those people who did not state their industry sector, while the worker profiles include these people.
Value-added is the value of sales generated by each industry, minus the cost of its inputs. Estimates are modelled using the NIEIR methodology, and presented in constant dollars (adjusted for inflation) at the year specified in the table header. It is calculated by subtracting the cost of industry inputs from total sales generated.
Value added data are derived from ABS State Accounts, distributed among regions by industry according to estimates of industry value-added, Census and ABS Labour Force based employment and industry earnings data from the Australian Taxation Office. An estimate of labour productivity is derived from ATO data from each region and applied to the industry workforce.
Detailed definition from NIEIR:This is equal to the total value of sales (a) less purchases of inputs from other businesses. The word ‘gross’ means that no further deduction is made for depreciation. However in regional context it also means that it includes public/major company/government enterprise surplus which in the main will not abe distributed to local residents. This is a National Accounts concept. It is similar to the tax base for the GST, but includes value added by organisations not subject to GST. It excludes indirect taxes such as GST (hence ‘at factor cost).
The difference between (ba) and (a) varies by industry according to the prominence of inputs purchased from other businesses. The ratio of (ba) to (a) varies by industry, typically around 25 per cent for manufacturing and construction, 50 per cent for retail and public administration, 75 per cent for labour-intensive non-profit public services like health. The aggregate ratio for Monash is remarkably constant at around 41 per cent.
Industry (headline) gross product (value added) comprises amounts paid to employees (wages etc) and costs in respect of capital (depreciation, interest, profits), sometimes referred to as gross surplus. It is derived from industry activity located within LGA boundaries. By convention, capital costs in government production are imputed at low rates. Industry local gross product excludes the gross surplus generated by public/major companies and public enterprises which in the main be distributed to stakeholders outside the LGA. It is the sum of wages and mixed income for the LGA.
Value added is calculated by estimating the employment in each region using the ABS Labour Force Survey, working out the component of total economic output that this relates to, and adjusting for differences in worker productivity using ATO income data.
Output/Sales - Estimate of total value of sales at factor cost (ie excluding indirect taxes such as GST) by business plus value of non-sold government services. In both cases value of inputs purchased from other businesses is included, so it is a gross measure of the economic output of an industry. Derived from Census, ATO, National Accounts and ABS Labour Force Survey data.
Please note that for the Retail Trade industry, Output/Sales and components of that total (eg. Local Sales) does not relate to the turnover of the retail industry, but the value of the "retail function". It is not necessarily related to the value of goods sold by retail, which are included at other stages of the manufacturing or import process.
Value-added - the value of sales generated by each industry, minus the cost of its inputs. Estimates are modelled using the NIEIR methodology, and presented in constant dollars (adjusted for inflation) at the year specified in the table header. It is calculated by subtracting the cost of industry inputs from total sales generated.
Employment - Employment data presented here are estimates based on NIEIR modelling from a number of sources. They are NOT Census figures, and should not be directly compared to the employment numbers in the "Worker Profiles" section of economy.id. They should be a more accurate and up-to-date estimate of employment in the LGA than the Census figures, and give a clear idea of the employment breakdown by industry, however it is not possible to derive the range of worker characteristics from them that are available in Census data, so both versions are presented.
Estimates of employment by industry from ATO income tax returns are used by postcode of residence and are converted to LGA of residence. Tax data is used because it is more timely and accurate than Census income data.
Hours Worked - Hours of work by industry and dollars per hour by place of work were estimated using the Census journey to work matrix, adjusted for the net undercount, as described in more detail in the Employment data notes.
Household Consumption - Consumption is defined in the ABS National Accounts, and includes services provided by non-profit agencies (which are included in the household sector). Total consumption from the ABS State Accounts is allocated to LGAs by microsimulation methodology driven by demographic projections and household disposable income . Household disposable income is calculated using ATO returns, adjusted for taxes, welfare payments from Centrelink and the Medicare levy. Household consumption relates to consumption of the goods produced by that industry by private households anywhere, not just within the LGA. Local Sales relates to the LGA only.
Government Consumption - An estimate of the value of government services required by households. State value of output for these services, allocated to LGAs per capita and household type provides an estimate of government supply. Supply is based on industry employment for the industries delivering these services in the LGA with the difference giving net trade.
Exports (domestic) - Exports are sales of goods and services to non-resident households, businesses and other organisations, outside the LGA boundaries. These sales include both local value added and the value of inputs, i.e. they are equivalent in magnitude to total sales, not just value added. Exports (domestic) includes all exports from the LGA or region to other parts of Australia.
Exports (international) - Exports are sales of goods and services to non-resident households, businesses and other organisations, outside the LGA boundaries. These sales include both local value added and the value of inputs, i.e. they are equivalent in magnitude to total sales, not just value added. Exports (international) includes all exports from the LGA or region to countries outside Australia.
Imports (domestic) - Imports are sales of goods and services from industries located outside the LGA boundaries to resident households, businesses and other organisations within the LGA. These sales include both local value added and the value of inputs, i.e. they are equivalent in magnitude to total sales, not just value added. Imports (domestic) includes all imports from within Australia, but outside the LGA or region boundaries.
Imports (international) - Imports are sales of goods and services from industries located outside the LGA boundaries to resident households, businesses and other organisations within the LGA. These sales include both local value added and the value of inputs, i.e. they are equivalent in magnitude to total sales, not just value added. Imports (international) includes the value of all imports to the area from outside Australia.
Local Sales - Equals total sales/output minus total imports. These include sales not only to local consumers but to local businesses and organisations.
The ABS Business Register is extracted from the Australian Business Register maintained by the ATO. It is a count of businesses with an Australian Business Number (ABN) on the Australian Business Register that are actively registered for GST (i.e. actively trading).
The ABS Business Register does not include:
The ABS Business Register does include:
Detailed information about this data set, including summary findings from the national dataset by industry sector, can be found at this location on the ABS website.
The ABS Business Register is published annually and economy.id® incorporates the latest release of this data which is a snapshot as at 1 June 2007. This data should not be used in time series due to changes in scope and methodology.
Data source: Australian Bureau of Statistics, Australian Business Register 2007. Cat. No. 8165.0
Data source: Australian Bureau of Statistics, Australian Business Register 2009. Cat. No. 8165.0
Employment locations by industry sector are based on ABS Place of Work data. It is based on the Census Question: "For the main job held last week, what was the person’s workplace address?" and provides information about where people work.
Place of Work data is coded to Destination Zones, which are designed by State Transport Authorities (STAs) in each state and territory. Work Destination Zones concord with Local Government Area boundaries, but they do not match other Census boundaries such as collection districts. They are designed to reflect the location of industry rather than residents, so there are more, small destination zones around major employment nodes, while they are large and sparser in residential and rural areas.
Data source: Australian Bureau of Statistics, Census of Population and Housing 2006, unpublished journey to work data.
This data describes the place of usual residence of employed persons in the selected industry. Journey to Work data is created by cross tabulating a person’s main workplace address (Place of Work Data) with their place of usual residence to create a matrix of home to work.
The data is presented at the LGA level. This information is generally not available at the small area (suburb / locality) level due to geographic limitations when being coded or processed.
Data source: Australian Bureau of Statistics, Journey to work data 2006.
This dataset describes the residential location (LGA) of people who work in the local area. It differs from the main journey to work dataset in that it shows simply the number and proportion of workers in each industry division who also live within the local area.
Journey to Work data is created by cross tabulating a person’s main workplace address (Place of Work Data) with their place of usual residence to create a matrix of home to work. The data is presented at the LGA level. This information is generally not available at the small area (suburb/locality) level due to geographic limitations when being coded or processed.
Self-sufficiency is defined as the percentage of the workforce employed in the area who also live within the local LGA or region. The data presented here shows a time series (where ANZSIC93 is selected), allowing the user to see whether the level of self-sufficiency in a particular industry has increased or decreased over time. The change over time is presented as a change in percentage rather than absolute number, so that self-sufficiency can be assessed independently from changes in the overall workforce in that industry.
Please note that Journey to Work coding has generally improved over time, so that the coding of location of employment in earlier Census years may not have the same quality as the more recent years. People who could not be coded to a work destination are excluded from this dataset.
This data describes the work location (LGA) of employed residents of the local area. Journey to Work data is created by cross tabulating a person’s main workplace address (Place of Work Data) with their place of usual residence to create a matrix of home to work.
The data is presented at the LGA level. This information is generally not available at the small area (suburb/locality) level due to geographic limitations when being coded or processed.
This dataset describes the work location (LGA) of employed residents of the local area. It differs from the main journey to work dataset in that it shows simply the number and proportion of residents working in each industry who work within the local area. Journey to Work data is created by cross tabulating a person’s main workplace address (Place of Work Data) with their place of usual residence to create a matrix of home to work. The data is presented at the LGA level. This information is generally not available at the small area (suburb/locality) level due to geographic limitations when being coded or processed.
Self containment is defined as the percentage of resident employed persons who work within the local LGA or region. The data presented here shows a time series, allowing the user to see whether the level of self containment has increased or decreased over time. The change over time is presented as a change in percentage rather than absolute number, so that self-containment can be assessed independently from changes in the overall workforce in that industry.
Please note that Journey to Work coding has generally improved over time, so that the coding of location of employment in earlier Census years may not have the same quality as the more recent years. People who did not state their work location, or provided information which couldn’t be accurately coded, are excluded from the “employed in the city” column, and therefore the self-containment percentage. In this way, self containment levels could be affected by improved levels of geographic coding, and should be treated with caution.
This data summarises the demographic characteristics of people employed in the selected industry. Includes all persons working in the area regardless of where they live. Some of the figures in the summary table are taken from other topics. For those which don’t appear elsewhere, the following notes apply:
Data source: Australian Bureau of Statistics, Census of Population and Housing 2001 and 2006.
This data describes the age (by sex) of people employed in the selected industry. Includes all persons working in the area regardless of where they live.
This data describes the occupations (by sex) of people employed in the selected industry. Includes all persons working in the local area regardless of where they live. Relates to the main job held in the week prior to Census. Data for occupations are coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO). The occupation classification is updated periodically to take account of emerging occupation groups and changes to the structure of the labour force.
Data are presented for the broad occupation groupings. For 2006 these were coded using ANZSCO, the most recent classification. These are presented in economy.id® where no time series is required. For time series, the data are presented using the older ASCO 2nd edition classification, to ensure data comparability.
For more information please refer to the 2006 Census Dictionary, and the 2006 Australian and New Zealand Standard Classification of Occupations (ANZSCO).
This data describes the method of travel to work (by sex) of people employed in the selected industry. Includes all persons working in the local area regardless of where they live. Relates specifically to the journey to work on the morning of Census day. Respondents can nominate up to three modes of travel. 'Tram or Ferry' includes light rail.
For more information please refer to the Census Dictionary 2006.
This data describes the working hours (by sex) of employed persons employed in the selected industry. Includes all persons working in the local area regardless of where they live. Relates specifically to hours worked the week prior to the Census. It is therefore only an indicator of hours worked and does not necessarily reflect the number of hours worked in an average week. If employed persons were away from work during Census week, hours worked will be lower. Relates to all jobs the worker holds, not just the main job referred to in the industry classification.
Workers are classified as full-time if they worked 35 hours or more in the week prior to Census, and part time if they worked less than this.
Note that the hours worked data relates to "all jobs", while the industry counted is what the respondent stated as their "main job".
This data describes the level of the highest qualification (by sex) of employed persons in the selected industry. Includes all persons working in the local area regardless of where they live.
Qualifications are broken down by skill level, according to the Australian Standard Classification of Education (ASCED), (catalogue number 1272.0). Bachelor degree and higher level qualifications are generally provided by universities, while diploma level qualifications can be gained through universities or TAFE colleges. Certificate level qualifications are vocational based qualifications usually gained through TAFE and apprenticeships. Examples of particular occupations requiring certificate level qualifications are shown below:
For a complete listing of the occupations and qualifications available, please refer to the National Training Information Service.
For more information about Australian qualifications please refer to the Australian Qualifications Network.
Australian Bureau of Statistics, Census of Population and Housing 2001 and 2006.
This dataset describes the field of study of the highest qualification completed of employed persons in the selected industry. The dataset includes all persons working in the local area regardless of where they live.
Qualifications are broken down by skill level, according to the Australian Standard Classification of Education (ASCED), (catalogue number 1272.0). Field of education is defined as the subject matter of an educational activity. Field of education is measured in terms of:
At the broad (1-digit) level, presented on the site, categories in field of study are distinguished from each other on the basis of the theoretical content of the course and the broad purpose for which the study is undertaken.
At the narrow (4-digit) level, presented on the site through drill-down, fields of study are distinguished from other narrow fields within the same broad field of study on the basis of the objects of interest and the purpose for which the study is undertaken.
Note that the field of qualification relates only to the highest qualification the person has received. For example, a person with a bachelor degree in engineering and a graduate diploma in education, would have only the education qualification recorded in the Census.
Incomes of workers are not comparable over time because of the influences of economic change such as wage level fluctuations and inflation. The income quartile method has been adopted as the most objective method of comparing change in the income profile of a workforce over time.
Household income quartiles look at the distribution of incomes in the selected industry within The Hills Shire relative to the selected benchmark. Quartiles split the total number of households into four equal parts for the total workforce (all industries) in Sydney SD. The table shows the number and proportion of workers in the selected industry in the The Hills Shire falling into each segment.
The table gives a clear picture of where income levels in a particular industry sit relative to the same industry in the selected benchmark area, or compared to all industries in the LGA. For the total of all industries in the Sydney SD, 25% of households fall into each category. If, for example, the retail trade industry has 30% of workers in the lowest category and only 10% in the highest category, this indicates that the incomes in retail in The Hills Shire are generally lower than the workforce across Sydney SD. However it would also be worthwhile to compare to the same industry (retail) in the benchmark area, as you may find that incomes are in fact similar or even higher when this comparison is made. The total of workers in all industries is only used to calculate the four quartiles. Once the dollar values have been established for these quartiles (listed below), you are able to make meaningful comparisons to any industry or area.
Incomes of workers are not comparable over time because of the influences of economic change such as wage level fluctuations and inflation. The income quartile method has been adopted as the most objective method of comparing change in the income profile of a workforce over time. It is also a useful method of comparing income levels between industries by grouping incomes into broader ranges.
This data summarises the demographic characteristics of people in the local labour force. Includes people in the labour force who usually reside in the local area regardless of where they work (if working).
Some of the figures in the summary table are taken from other topics. For those which don’t appear elsewhere, the following notes apply:
Data source: Australian Bureau of Statistics, Census of Population and Housing 2006.
This data describes the age (by sex) of people in the local labour force. Includes people in the labour force who usually reside in the local area regardless of where they work (if working).
This data describes the occupations (by sex) in which employed residents work. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the local area regardless of where they work. Relates to the main job held in the week prior to Census.
Data for occupations are coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO). The occupation classification is updated periodically to take account of emerging occupation groups and changes to the structure of the labour force.
Data are presented for the broad occupation groupings. For 2006 these were coded using ANZSCO, the most recent classification.
This data describes the industries (by sex) in which employed residents work. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the local area regardless of where they work.
Data for industry are coded using the Australia and New Zealand Standard Industrial Classification (ANZSIC). The industry classification is updated periodically to take account of emerging industries and changes in the structure of the economy.
The industry classification was last updated in 2006 (ANZSIC06).
For more information please refer to the 2006 Census Dictionary, and ANZSIC classification.
This data describes the method of travel to work (by sex) of employed residents. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the local area regardless of where they work. Relates specifically to the journey to work on the morning of Census day. Respondents can nominate up to three modes of travel. 'Tram' includes light rail. For more information please refer to the Census Dictionary 2006.
This data describes the working hours (by sex) of employed residents. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the local area regardless of where they work. Relates specifically to hours worked the week prior to the Census. It is therefore only an indicator of hours worked and does not necessarily reflect the number of hours worked in an average week. If employed persons were away from work during Census week, hours worked will be lower. Relates to all jobs the worker holds, not just the main job referred to in the industry classification.
This data describes the level of the highest qualification (by sex) of persons in the local labour force. Includes people in the labour force who usually reside in the local area regardless of where they work (if working).
This data describes the total gross weekly income by sex (including pensions and allowances) of persons in the local labour force. Includes people in the labour force who usually reside in the local area regardless of where they work (if working). It should not be assumed that wages and salaries are a person’s only source of income.
Individual incomes are collected as ranges in the Census.
This data summarises the demographic characteristics of people in the regional labour force. Includes people in the labour force who usually reside in the labour force region regardless of where they work (if working).
This data describes the age (by sex) of people in the regional labour force. Includes people in the labour force who usually reside in the labour force region regardless of where they work (if working).
This data describes the occupations (by sex) in which employed personss work. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the labour force region regardless of where they work. Relates to the main job held in the week prior to Census.
This data describes the industries (by sex) in which employed persons work. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the labour force region regardless of where they work.
For the 2006 Census, the updated ANZSIC06 classification was used, which includes more industry divisions which better reflect the structure of the Australian economy. Data are presented using this classification as an option. However for time series, data are also presented on the older ANZSIC93 classification, as this classification was used in earlier censuses.
For more information please refer to the 2006 Census Dictionary, ANZSIC classification.
This data describes the method of travel to work of employed persons. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the labour force region regardless of where they work. Relates specifically to the journey to work on the morning of Census day. Respondents can nominate up to three modes of travel. 'Tram' includes light rail. For more information please refer to the Census Dictionary 2006.
This data describes the working hours (by sex) of employed persons. It applies only to people aged 15 and over who were employed in the week prior to Census. Includes employed people who usually reside in the labour force region regardless of where they work. Relates specifically to hours worked the week prior to the Census. It is therefore only an indicator of hours worked and does not necessarily reflect the number of hours worked in an average week. If employed persons were away from work during Census week, hours worked will be lower. Relates to all jobs the worker holds, not just the main job referred to in the industry classification.
This data describes the level of the highest qualification (by sex) of persons in the regional labour force. Includes people in the labour force who usually reside in the labour force region regardless of where they work (if working).
This data describes the total gross weekly income by sex (including pensions and allowances) of persons in the regional labour force. Includes people in the labour force who usually reside in the labour force region regardless of where they work (if working). It should not be assumed that wages and salaries are a person’s only source of income.
Describes the age structure (by sex) of people who usually reside in the local area. Includes all persons except 'overseas visitors'.
Describes the education institutions attended (by sex) by people who usually reside in the local area. Excludes 'overseas visitors'.
English proficiency aims to measure the ability of persons who speak ‘English as a Second Language’ to also speak English. The data, when viewed with other ethnic and cultural indicators, tends to reflect the ethnic composition of the population and the number of years of residence in Australia. In general, an area with a higher proportion of persons born in English-speaking countries or who emigrated from non-English speaking countries several decades ago is likely to have greater English-speaking proficiency.
Note: A person’s English proficiency is based on a subjective assessment and should therefore be treated with caution.
Responses to the question on Proficiency in English in the Census are subjective. For example, one respondent may consider that a response of 'Well' is appropriate if they can communicate well enough to do the shopping, while another respondent may consider such a response appropriate only for people who can hold a social conversation. Proficiency in English should be considered as an indicator of a person's ability to speak English and not a definitive measure of this ability.
Describes the employment status (by sex) of people who usually reside in the local area. Excludes 'overseas vsitors'.
Describes the qualifications (by sex) of people who usually reside in the local area. Includes persons aged 15 years and over.
'No qualifications' refers to persons still studying for their first qualification, persons who do not have a qualification, and persons who have a qualification out of the scope of the Census version of the Census version of the Australian Standard Classification of Education (ASCED), 2001.
Describes the household income (by sex) of people who usually reside in the local area.
Household income comprises the total of incomes of all persons in the household who stated an income. Excludes ‘visitor only households’ and ‘other non classifiable households’.
Describes the housing tenure of occupied private dwellings in the local area. ‘Being purchased’ includes dwellings being purchased under a rent/buy scheme.
Describes the dwelling structure of all occupied private dwellings in the local area. This data is classified by the Census collector on visiting the household, and the categories are broadly based on the density of the housing types.
These data are based on the National Institute for Economic and Industry Research micro-simulation modelling. The base data source is the ABS Household Expenditure Survey (HES), (6535.0) conducted every 5 years. These are adjusted based on quarterly estimates of the relative composition of household types within the LGA derived from the ABS Labour Force Monthly Survey (and expenditure profiles of those household types in the HES). The derived figures are constrained by total LGA household disposable income derived from the other models, and updated quarterly based on changes in state level household consumption figures in the ABS State Accounts data.
Data are presented on a "per household" basis, and the household saving ratio is derived by subtracting the total household expenditure for the region from the household disposable income. Household savings can be negative.