The State Tourism Satellite Account (STSA) highlights the importance of tourism to each state and territory's economy.
The 2019–20 edition of the STSA is the first to capture the impacts of the bushfires and the early months of COVID-19 at a state and territory level. It sheds light on where the impacts were felt most deeply. Key data covers:
We use the Australian Bureau of Statistics’ Tourism Satellite Account and Labour Force Survey data.
We extend the work of the ABS by examining state and territory tourism performance.
Read about how we apply the data in the Methodology.
COVID-19 has delivered the largest shock the Australian tourism industry has ever experienced. Every part of the industry has been affected. The industry has shown resilience in the past to social, environmental and economic shocks. However, COVID-19 has been a far greater challenge.
Tourism’s performance for the first half of the financial year was consistent with the strong growth of the last decade. Compared to the same period in 2018–19:
For the second half of the year, the sector experienced a series of shocks:
This led to dramatic declines in tourism demand compared to the same period in 2018–19:
All states and territories experienced falls in consumption due to COVID-19. Nationally, consumption fell by 19%, or $29.5 billion. This is in contrast to average annual growth of 5% per year in the decade prior to COVID-19.
Falls in consumption:
Falls in consumption were recorded across all categories of travel:
For states and territories, the main causes were declines in:
Total tourism GVA for 2019–20 was $46.5 billion, down 17% on 2018–19.
Total tourism GSP fell a similar amount across the states and territories. This was down 18% to $50.4 billion. By comparison the Australian economy grew by 1.7% in 2019–20. As a result, tourism’s share of the national economy fell from 3.1% in 2018–19 to 2.5%. Similar to consumption, these falls in GVA and GSP were uneven across states and territories.
State | GVA (billions) | Change on 2018–19 | GSP (billions) | Change on 2018–19 |
---|---|---|---|---|
NSW | $14.0 | -18% | $15.2 | -18% |
Vic | $11.1 | -18% | $12.0 | -19% |
Qld | $10.5 | -18% | $11.4 | -18% |
SA | $2.9 | -13% | $3.1 | -13% |
WA | $5.0 | -11% | $5.4 | -11% |
Tas | $1.4 | -14% | $1.5 | -15% |
NT | $0.792 | -26% | $0.869 | -25% |
ACT | $0.847 | -27% | $0.915 | -27% |
Total | $46.5 | -17% | $50.4 | -18% |
The employment data cover direct, indirect and state and territory results.
The employment numbers are an average for the full financial year and do not reflect the severity of the current situation. This is due to:
Tourism directly employed 621,100 people in 2019–20. This was down 7% compared with 2018–19. Falls ranged from 0.3% for SA to 16% for the ACT.
Indirect employment declined more sharply than direct employment. Falls ranged from 16% for WA to 28% for NT. As a result, tourism’s direct share of employment in Australia fell from 5.2% to 4.8%. Over this same period Australia’s workforce grew 0.1%.
State | Persons directly employed in 2019–20 (thousands) | Change on 2018–19 | Persons indirectly employed in 2019–20 (thousands) | Change on 2018–19 |
---|---|---|---|---|
NSW | 175.1 | -8.5% | 81.0 | -22.7% |
Vic | 166.5 | -7.4% | 65.5 | -21.6% |
Qld | 135.9 | -6.3% | 70.7 | -20.7% |
SA | 40.4 | -0.3% | 19.2 | -17.6% |
WA | 65.8 | -1.1% | 29.0 | -15.6% |
Tas | 21.0 | -5.4% | 16.3 | -22.1% |
NT | 7.3 | -12.1% | 5.2 | -28.4% |
ACT | 9.2 | -16.4% | 5.5 | -27.5% |
Total | 621.1 | -6.6% | 292.4 | -21.1% |
While tourism cuts across 12 different industries, just 4 industries accounted for almost three quarters of all direct employment nationally. These were:
Tourism employment in states and territories follow similar patterns to the national sector breakdown. Notable exceptions include:
Quarterly labour force statistics from the ABS show there has been significant change in the tourism workforce during the pandemic:
Part-time jobs in tourism exceeded full-time jobs for the first time on record:
These changes in workforce structure are likely due to:
Gross State Product (GSP)
$1.8 billion
Down 27.9% compared with 2018–19
Gross Value Added (GVA)
$1.6 billion
Down 28.1% compared with 2018–19
Employment
14,700 persons
Down 20.9% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in the ACT, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In the ACT, for every dollar spent in the tourism industry, an additional 77 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$30.2 billion
Down 21.0% compared with 2018–19
Gross Value Added (GVA)
$27.0 billion
Down 20.9% compared with 2018–19
Employment
256,100 persons
Down 13.5% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in NSW, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In NSW, for every dollar spent in the tourism industry, an additional 81 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$1.9 billion
Down 28.1% compared with 2018–19
Gross Value Added (GVA)
$1.6 billion
Down 27.8% compared with 2018–19
Employment
12,500 persons
Down 19.7% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in the NT, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In NT, for every dollar spent in the tourism industry, an additional 77 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$22.7 billion
Down 20.0% compared with 2018–19
Gross Value Added (GVA)
$20.3 billion
Down 19.9% compared with 2018–19
Employment
206,600 persons
Down 11.8% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in Qld, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In Qld, for every dollar spent in the tourism industry, an additional 82 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$6.5 billion
Down 16.7% compared with 2018–19
Gross Value Added (GVA)
$5.5 billion
Down 16.1% compared with 2018–19
Employment
59,600
Down 6.6% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in SA, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In SA, for every dollar spent in the tourism industry, an additional 79 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$3.0 billion
Down 18.3% compared with 2018–19
Gross Value Added (GVA)
$2.7 billion
Down 17.8% compared with 2018–19
Employment
37,400
Down 13.5% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in Tas, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In Tas, for every dollar spent in the tourism industry, an additional 80 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$23.4 billion
Down 20.7% compared with 2018–19
Gross Value Added (GVA)
$21.2 billion
Down 20.6% compared with 2018–19
Employment
232,000
Down 11.9% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in Vic, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In Vic, for every dollar spent in the tourism industry, an additional 80 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Gross State Product (GSP)
$10.5 billion
Down 13.9% compared with 2018–19
Gross Value Added (GVA)
$9.5 billion
Down 13.8% compared with 2018–19
Employment
94,800
Down 6% compared with 2018–19
In 2019–20 (compared to 2018–19):
In 2019–20 (compared to 2018–19):
Money spent directly in the tourism industry. Without a tourism industry in WA, this money wouldn’t be generated, or these people wouldn’t be employed.
The flow-on effect of the tourism industry. In WA, for every dollar spent in the tourism industry, an additional 78 cents were spent elsewhere in the economy.
GVA allows easier comparisons across industries. GVA is equal to GSP minus taxes.
Find out more about tourism consumption, employment and economic activity in our data tables.
Revisions to the Australian Bureau of Statistics’ (ABS) national accounts data have affected the State TSA. These data are revised annually by the ABS to reflect changes in the economy. This is in line with international best practice. In this edition of the State TSA, revisions only apply to data from 2017–18 onwards. This means you cannot compare this data with data from previous editions.
Regional expenditure data revisions also have affected the State TSA. These data are sourced from the International Visitor Survey (IVS) and National Visitor Survey (NVS), year ending June 2020.
The 2019–20 State TSA publication presents a comprehensive set of data on the direct and indirect economic contribution of tourism for all states and territories. It builds on the Australian Bureau of Statistics’ (ABS) National TSA.
The report highlights changes in 2019–20, in nominal terms. It also examines longer term patterns in tourism’s contribution to the national, state and territory economies.
The ABS System of National Accounts (SNA) does not capture tourism as a single industry, despite it being a high value contributor to Australia’s economy. This is due to the sector’s diverse products and services.
The National TSA bridges this gap by:
Comparisons can then be made between:
Tourism sectors across different countries can also be compared.
Check the ABS’ Australian National Accounts: Tourism Satellite Account methodology for more information on the National TSA.
The approach in the State TSA is to derive the direct contribution of tourism. It is similar to the approach developed by Pham et al. (2009). Tourism spend data and state/territory industry input-output (I-O) data are combined with the National TSA benchmark. This is to capture the:
The main sources for the data and methodology are:
When reconciling the State TSA data to the national target:
Indirect effects of tourism demand on businesses that provide goods and services to the tourism industry are also measured. For example, the indirect tourism demand generated from supplying a meal to a visitor. This starts with production of what the restaurant needs to make the meal. This might include fresh produce and electricity for cooking.
This approach complements the direct effects presented through the TSA framework. It provides a clearer picture of the total contribution of tourism to the economy. However, they have been calculated using I-O analysis methods. This is because the TSA framework is not designed to measure these indirect effects at state and territory level.
The I-O analysis methods provide a breakdown of the supply and demand of commodities in the Australian economy.
Multipliers for standard industries in the Australian and New Zealand Standard Industry Classification (ANZSIC) are used as the basis for calculating tourism’s indirect effects. This is because the tourism sector does not represent a single industry in the economy.
The multipliers measure the individual contribution of industries associated with supplying goods and services to tourists. They provide estimates of the flow-on effects for:
The TERM I-O database also derives the:
This database is widely used in Australia. It is the only source available for this information at the state and territory level.
State TSA data are based on TRA modelled regional expenditure estimates. These were derived from IVS and NVS data.
The survey data are allocated to tourism regions using an iterative procedure (TRA, 2013). It takes into account visitors’ reported expenditure on their entire trip in Australia, relative to the nights they spend in different tourism regions in Australia.
Estimates derived from the regional expenditure model show there are large differences in spend patterns across states and territories. As a key input to the State TSA, they are an important contributor in shaping the patterns evident in:
Note that the modelled regional expenditure figures are derived from survey data, and there can be some volatility in these estimates. This is particularly the case for:
The State TSA uses modelled tourism expenditure estimates as an input. These are measured at purchasers’ prices. This includes the following components that are not directly related to industries producing goods and services for tourism purposes:
Consumption represents the demand side of tourism, with visitors paying a final price for goods and services. It is mostly measured in purchasers’ prices in this report. This is to reflect the full price paid by tourists for goods and services. Most consumption data in the National Account and State TSA are presented in the same way.
However, it is necessary to use consumption measured at basic prices to measure flow-on effects correctly. If consumption were measured at purchasers’ prices, flow-on effects would be over-estimated by values (such as imports), which are not directly related to domestic production.
Tourism output measures how much demand is satisfied by domestic industries. Often, output is less than total consumption (at purchasers’ prices). This is due to the amount of:
Good examples of this include road and rail transport, and the wholesale and retail sectors.
Only consumption at basic prices is equal to output of the producing industry. This is because all add-on components paid by the consumers are removed (noting the amounts of margins that are re-allocated to the applicable industries to reflect their contribution to tourism consumption explicitly).
Note that in the basic prices category, not all goods and services are now defined as direct output in the new TSA framework. The output of an industry is defined as direct tourism output only when the industry has physical contact with tourists. For example, cafés, restaurants and accommodation.
Items like fuel are not direct tourism outputs. For example, if a tourist spends $98 to fill up their petrol tank, and:
In this case only $18 is recorded as direct tourism output associated with the retail industry. The remaining $80 is considered to be the cost to the retailer of the domestic good sold to tourists. This would be captured in the flow-on effects to account for the value-adding tourism has generated in the domestic economy.
Read the TSA glossary in the National TSA Methodology on the ABS website.