In 2023, the most visited city in the United States by international tourists was ********, attracting just under **** million visitors. ********************* followed in the ranking, with roughly *** million and *** million international visitors, respectively.

This statistic shows the most popular United States cities for summer travel in 2016. During the survey, ** percent of the respondents stated that they planned to visit New York for their summer city trip in 2016, making it the most popular city trip destination.

This statistic shows the leading city destinations in the United States in 2019, by number of international arrivals. New York was the leading city destination in the U.S. in terms of international arrivals with approximately ** million visitors from foreign countries in 2019.

In the fourth quarter of 2024, San Francisco was the most popular city among millennials in the United States, with ** percent saying they liked the city. Meanwhile, San Diego was the most popular among Generation X, and Nashville among Baby Boomers.

The Mexican city of Cancún was the top Latin American destination for foreign visitors in 2018, with approximately **** million international tourist arrivals. This number was expected to increase by *** percent in 2019, reaching **** million foreign arrivals that year. Argentina's capital, Buenos Aires, ranked second on the list of top city destinations for international tourism in Latin America, with nearly *** million international tourist arrivals in 2018 and an estimate of **** million arrivals for 2019. During the depicted period, the most visited city in the whole American continent was New York.

This dataset provides a detailed inventory of tourist attractions in the United States, India, and Iran, gathered through an extensive crawl of Google Maps. It encompasses essential details such as attraction names, location, ratings, category, and visitor feedback. Designed to facilitate exploratory data analysis and predictive modeling, this dataset is a valuable tool for researchers and analysts.

For an enhanced analytical experience, interactive Tableau dashboards have been created for each country's dataset. These dashboards offer visual interpretations and trend analyses of tourist activities. Access the dashboards at the following link:

US Tourist Attractions Dashboard India Tourist Attractions Dashboard Iran Tourist Attractions Dashboard

Your feedback is invaluable for enhancing the utility and accuracy of this dataset and its associated dashboards. Please share your insights and suggestions.

This table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) State visited (15 items: Florida; New York; Washington; California; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).

This statistic shows the most popular domestic summer city destinations for travelers in the United States in 2015, according to travel agent members of the ASTA Research Family. During the survey, 17 percent of the respondents forecasted that Orlando would be a popular domestic city destination for U.S. travelers in summer 2015.

Content

Data was pulled from a table in the following Wikipedia article: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population I used Microsoft Excel's PowerQuery function to pull the table from Wikipedia. Lists each city, its rank (based on 2020 population), some data on its area, and population in both 2020 and 2010.

Banner image source: https://unsplash.com/photos/wh-7GeXxItI

Live city rankings with ignore politics political preference weighting applied. Showing 1-50 of 386 cities.

The city park with the highest annual visitation in 2023 was Central Park in New York, accounting for a total of ********** visitors. The second most visited city park in that year was Golden Gate Park in San Francisco, with nearly half the visitation of Central Park, at **********.

Las Vegas, New York, Washington, Chicago, Toronto, Los Angeles, Denver, San Francisco, Honolulu, Orlando, Cincinnati, Phoenix, Houston, Philadelphia, Atlanta, Boston, Dallas, Minneapolis, Seattle, Cleveland

Context

This dataset contains some data to try to answer the question, "What's the best city to live and work in as a Data Scientist?" I include data from the U.S. News & World Report Best Places to Live and Best States Rankings; city scores from Nomad List; rent indices from Zillow; and the number of jobs openings on Indeed.com. All data is publicly available online and manually compiled by myself.

Data Sources

• U.S. News Best Places to Live in the U.S.
• U.S. News Best States Rankings
• Nomad List
• Zillow Research Housing Data
• Wikipedia List of metropolitan statistical areas
• Indeed.com

The U.S. News Best Places and Best States Rankings are updated annually. They were last updated in Dec 2019, so I assume the next update will come in Dec 2020.

Dataset Info

Data from Best Places

For data points from the U.S. News Best Places, drill down into the page for each metro area. I have to manually collect these data points, and not all of them are fully populated. If there's interest, I'll upload a new version with more data filled in.

About Nomad Scores

Nomad List publishes scores for each city that update in real time every 10 mins. These scores are affected by the current weather in each city. Therefore, the scores vary quite a bit seasonally as well as during the day. Learn more here. I've sampled the scores at different times of year and different times of day. Timestamps are in ISO 8601 format. Nomad Scores are not available for all metros in the dataset.

Inspiration

1. Can you combine the data for each metro into an aggregate score (or multiple scores) to determine the best places to live?
2. Should climate be factored into your scores? If so, how?
3. Can you aggregate violent and property crime rates into an aggregate crime rate?
4. Can you combine a quantitative score with a ranking measure to obtain a total score?
5. Can you aggregate all the sampled Nomad Scores to obtain an overall Nomad Score for the metro? How should you weight each score?
6. Should you include the number of Data Scientist job postings in your total score for the metro? If so, how?

This table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Countries visited (15 items: United States; Mexico; United Kingdom; France; ...) Travel characteristics (3 items: Visits; Nights; Spending in country).

The top 100 Airbnb markets in 2025 are: 1. Los angeles - Strict regulations, 11,250 listings, 67% occupancy rate, $213 daily rate. See other 99 places.

Sightseeing Pass Market Outlook

According to our latest research, the global sightseeing pass market size in 2024 stands at USD 3.12 billion, reflecting a robust growth trajectory driven by evolving travel trends and increased urban tourism. The market is expanding at a compound annual growth rate (CAGR) of 8.4% and is expected to reach USD 6.43 billion by 2033. This growth is primarily fueled by the rising demand for convenient, value-driven travel solutions and the increasing digitalization of travel services, making sightseeing passes more accessible and attractive to a diverse range of travelers.

One of the key growth factors propelling the sightseeing pass market is the transformation in global travel behavior. Modern travelers, especially millennials and Gen Z, prioritize experiences, flexibility, and value for money. Sightseeing passes offer bundled access to major attractions, museums, and tours, providing significant cost savings and convenience. This aligns with the growing trend of experiential tourism, where travelers seek to maximize their cultural and recreational experiences within a limited timeframe. Additionally, the widespread adoption of mobile technologies has made it easier for travelers to purchase, store, and use digital passes, further enhancing the user experience and driving market penetration.

Another significant driver is the increasing collaboration between tourism boards, local governments, and private enterprises. Cities and regions worldwide are leveraging sightseeing passes as strategic tools to boost tourism revenue, manage visitor flows, and promote lesser-known attractions. These partnerships often result in the development of themed or multi-city passes, catering to niche interests such as history, art, gastronomy, or adventure. The integration of value-added services, such as skip-the-line entry, guided tours, and exclusive discounts, enhances the perceived value of sightseeing passes, encouraging both first-time and repeat visitors to opt for these products.

The rapid recovery of the global tourism industry post-pandemic has also played a pivotal role in the growth of the sightseeing pass market. As international borders reopen and travel restrictions ease, there is a surge in pent-up demand for leisure travel. Sightseeing passes, with their promise of hassle-free access and cost efficiency, are increasingly favored by both individual and group travelers. Moreover, the growing popularity of sustainable tourism practices has led providers to incorporate eco-friendly features and promote off-peak or off-the-beaten-path destinations through their passes, further broadening their appeal.

Regionally, Europe remains the largest market for sightseeing passes, accounting for over 37% of global revenue in 2024, followed by North America and Asia Pacific. European cities such as London, Paris, and Rome have a long tradition of offering comprehensive city passes, which are now being emulated by emerging tourist destinations in Asia and Latin America. The Asia Pacific region, in particular, is witnessing the fastest growth, with a CAGR of 10.2%, as cities like Tokyo, Bangkok, and Singapore invest in smart tourism infrastructure and digital ticketing solutions. This regional diversification is expected to continue, with increasing adoption in the Middle East and Africa as well.

Type Analysis

The sightseeing pass market is segmented by type into single-city pass, multi-city pass, and themed pass, each catering to distinct traveler preferences and usage scenarios. Single-city passes remain the most popular, dominating the market due to their targeted appeal to tourists visiting urban destinations for short durations. These passes typically offer access to a curated list of top attractions within a city, often bundled with public transport options. Their straightforward value proposition, ease of use, and comprehensive coverage make them highly attractive to first-time visitors and families seeking to maximize their sightseeing experience without the ha

Convention and visitor bureaus enjoyed a sharp uptick in national travel, stronger travel expenditure growth among businesses and individuals and consistent interest in conference planning and booking needs. Despite initial volatility amid pandemic-era lockdowns in 2020 that heavily constrained travel, the reopening of major tourist destinations, such as Las Vegas and New York City, prompted a sharp incline in domestic travel. Continued expansion of consumer spending, coupled with higher business propensity in setting up in-person conferences resulted in a sharp 127.9% acceleration of inbound international travelers. These tourists and business conference attendees required information on public accommodations, tourist attractions and city sights, resulting in considerable demand spikes for bureaus. While elevated interest rates continue to pose a potential issue in higher travel spending, resilient consumer spending and growth in core leisure and business expenditures boosted bureau services demand. Revenue accelerated at a CAGR of 9.1% to an estimated $3.7 billion over the past five years, including an expected 1.6% boost in 2025 alone. Profit also expanded to 9.4% in 2025, buoyed by greater implementation of digital tools for bookings and travel plans. Conference and visitor bureaus were heavily impacted by the incline in technological usage across the travel space. More individuals and businesses have begun using digital tools, such as smartphones and contactless check-ins, to help book trips and source information on their travel destination, encouraging incumbent bureaus to develop more in-house digital tools that could assist with sourcing information and promoting local municipalities. Online travel sites continue to make up the bulk of competitive threats, as they enable individuals to compare fares and directly book trips online instead of using visitor bureaus. Nonetheless, bureaus remain highly popular among conference planners, strengthening the industry’s profitability even amid digital competition. Moving forward, convention and visitor bureaus are poised to benefit from continued incline in consumer spending and stable travel trends. Higher expenditures on business conferences, particularly among larger corporate clients, will provide a lucrative revenue niche for bureaus in corporate-heavy areas like New York City. Technological proliferation will continue to change how bookings and travel plans are conducted, forcing higher investment in digital technology to maintain market relevance. Finally, robust international events such as the 2026 FIFA World Cup and 2028 Summer Olympics will provide key regional tourism and travel accelerants. Revenue is expected to grow at a CAGR of 1.8% to an estimated $4.1 billion over the next five years.

Real-time city rankings with political preference weighting for Ignore Politics

This data package consists of 26 datasets all containing statistical data relating to the population and particular groups within it belonging to different countries, mostly the United States.

Percent Sunshine by US City

Discovering the Clear Skies for Astronomy and Sunniest Locations in the US

By Gary Hoover [source]

About this dataset

This dataset provides all the information you need to plan a visit to a city that offers plenty of sunshine! With data on average annual percent of possible sunshine for US cities, you'll be able to answer questions like Which cities get the most sunlight on average each year?, What months are best for sunny days in [CITY]? and many more. Whether you're looking for somewhere warm and sunny to take your vacation, or clear skies for nighttime stargazing, this dataset has all the answers! Find out how each city in the US stacks up against each other and make sure your next trip is one filled with bright blue skies!

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Research Ideas

• Creating a City Sunshine Index to compare the average percent of sunshine in different cities
• Estimating the amount of daylight hours available for astronomy stargazing in each city
• Creating a map to visualize monthly sunshine insights for vacation planning to different parts of the U.S

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: Average Percent of Possible Sunshine by US City.csv | Column name | Description | |:--------------|:------------------------------------------------------------------| | CITY | Name of the city. (String) | | JAN | Average percent of possible sunshine in January. (Float) | | FEB | Average percent of possible sunshine in February. (Float) | | MAR | Average percent of possible sunshine in March. (Float) | | APR | Average percent of possible sunshine in April. (Float) | | MAY | Average percent of possible sunshine in May. (Float) | | JUN | Average percent of possible sunshine in June. (Float) | | JUL | Average percent of possible sunshine in July. (Float) | | AUG | Average percent of possible sunshine in August. (Float) | | SEP | Average percent of possible sunshine in September. (Float) | | OCT | Average percent of possible sunshine in October. (Float) | | NOV | Average percent of possible sunshine in November. (Float) | | DEC | Average percent of possible sunshine in December. (Float) | | ANN | Average percent of possible sunshine for the entire year. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Gary Hoover.