If there’s any year you want to take a staycation instead of a vacation, it’s 2020. Though many states are starting to reopen some businesses after closing them due to coronavirus, it will be a long time before the travel and tourism industries are back in full gear. On top of that, many people won’t want to be around crowds until the pandemic has fully subsided, and others simply don’t have the money to take a trip with how hard COVID-19 has hit the economy. Luckily, there are certain places that offer plenty of options for entertainment and relaxation at the right price point, making those the Best Cities for Staycations and the perfect spots for staying local.

To determine the Best Cities for Staycations for a fun-filled yet wallet-friendly getaway, WalletHub compared more than 180 cities across 15 key metrics. the researchers’ data set ranges from parks per capita to the average home square footage and the idealness of summer weather. Read on for the full ranking, the methodology and useful staycationing tips from experts.

Top 10 Best Cities for Staycations

1. Plano, TX

2. Boise, ID

3. Tampa, FL

4. Charleston, SC

5. Lincoln, NE

6. Fort Smith, AR

7. Scottsdale, AZ (No. 1 ranking for rest and relaxation)

8. Grand Prairie, TX

9. Austin, TX

10. Orlando, FL

Other Arizona communities in Top 100

16. Peoria, AZ

24. Glendale, AZ

33. Gilbert, AZ

55. Tempe, AZ

62. Chandler, AZ

86. Phoenix, AZ

90. Tucson, AZ

96. Mesa, AZ

In order to determine the best staycation spots, WalletHub compared 182 U.S. cities — including the 150 most populated U.S. cities, plus at least two of the most populated cities in each state — across two key dimensions: 1) Recreation and 2) Rest & Relaxation.

WalletHub evaluated those dimensions using 15 relevant metrics. Each metric was graded on a 100-point scale, with a score of 100 representing the most favorable conditions for staycationers. WalletHub then determined each city’s weighted average across all metrics to calculate its overall score and used the resulting scores to rank-order our sample.