Traditional Culture Encyclopedia - Travel guide - Tourism income calculation formula Per capita tourism income calculation formula
Tourism income calculation formula Per capita tourism income calculation formula
The calculation formula of tourism income and the calculation formula of per capita tourism income are important indicators to measure the development status of tourism in a region. These two formulas can help us understand the revenue scale and tourist consumption level of tourism in the region. The following are the definitions and calculation methods of these two formulas:
1. Tourism income calculation formula:
Tourism income = number of tourists received × average tourist consumption
This formula calculates the total revenue received from tourism in a certain region or scenic spot within a certain period of time (usually a year). Among them, the number of tourists received refers to the total number of tourists received by the region or scenic spot during this period, and the average consumption of tourists refers to the average consumption amount of each tourist in the region or scenic spot.
2. Per capita tourism income calculation formula:
Per capita tourism income = tourism income ÷ number of tourists received
This formula calculates the tourism income of a certain region or scenic spot in The average tourism revenue per tourist over a certain period of time (usually a year). Among them, tourism revenue and the number of tourists received are the same as the definitions in the above tourism revenue calculation formula.
For example, if a certain region receives 1 million tourists in 2022 and the average tourist spending is 1,000 yuan, then:
Tourism revenue = 1 million people × 1,000 Yuan/person = 1 billion yuan
Per capita tourism income = 1 billion yuan ÷ 1 million people = 1,000 yuan/person
Through these two formulas, we can understand the tourism industry in the region The overall income scale and tourists’ consumption level. At the same time, comparing these data with historical data, national averages or data from other regions in the same industry can analyze the development and competitiveness of the region's tourism industry.
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