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Vacation Rental Area KPIs | Global OTA Data | Daily Updated Performance Metrics with Historic Pacing + Future Projections product image in hero

Vacation Rental Area KPIs | Global OTA Data | Daily Updated Performance Metrics with Historic Pacing + Future Projections

Key Data Dashboard
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kd_area_uuid
kd_area_title
kd_area_level
kd_parent_area_title
kd_parent_area_level
kd_area_center_latitude
kd_area_center_longitude
listing_source
kd_date_day
kd_delivered_on
kd_kpi_updated_on
kd_active_properties
kd_property_nights
kde_kpi_nights_available_ai
kde_kpi_nights_open_ai
kd_host_count
kd_property_count
kde_kpi_guest_nights_ai
kde_kpi_hold_nights_ai
kde_kpi_guest_checkins_ai
kde_kpi_guest_checkouts_ai
kde_kpi_unit_revenue_ai
kde_kpi_arrival_unit_revenue_ai
kde_kpi_adr_ai
kde_kpi_adr_unbooked_ai
kde_kpi_adj_revpar_ai
kde_kpi_revpar_ai
kde_kpi_avg_stay_value_ai
kde_kpi_total_booking_window_ai
kde_kpi_total_length_of_stay_ai
kde_kpi_avg_booking_window_ai
kde_kpi_avg_length_of_stay_ai
kde_kpi_occupancy_guest_ai
kde_kpi_occupancy_calendar
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Sign In To Preview Data
Avail. Format
.csv
File
Coverage
250
Countries

Data Dictionary

[Sample] VR-OTA Area KPIs - Sample.csv
Attribute Type Example Mapping
kd_area_uuid
String d5eÉ.
kd_area_title
String Summit - CO
kd_area_level
String County
kd_parent_area_title
String Colorado
kd_parent_area_level
String State
kd_area_center_latitude
Float 39.63421
kd_area_center_longitude
Float -106.116
listing_source
String airbnb
kd_date_day
String 1/1/25
kd_delivered_on
String 3/6/25
kd_kpi_updated_on
String 3/6/25
kd_active_properties
Integer 8989
kd_property_nights
Integer 8989
kde_kpi_nights_available_ai
Integer 6556
kde_kpi_nights_open_ai
Integer 1792
kd_host_count
Integer 4780
kd_property_count
Integer 16455
kde_kpi_guest_nights_ai
Integer 4764
kde_kpi_hold_nights_ai
Integer 2433
kde_kpi_guest_checkins_ai
Integer 1189
kde_kpi_guest_checkouts_ai
Integer 1258
kde_kpi_unit_revenue_ai
Integer 3867142
kde_kpi_arrival_unit_revenue_ai
Integer 3152677
kde_kpi_adr_ai
Float 811.74
kde_kpi_adr_unbooked_ai
Float 493.69
kde_kpi_adj_revpar_ai
Float 589.86
kde_kpi_revpar_ai
Float 430.21
kde_kpi_avg_stay_value_ai
Float 3252.43
kde_kpi_total_booking_window_ai
Integer 90127
kde_kpi_total_length_of_stay_ai
Integer 4818
kde_kpi_avg_booking_window_ai
Float 75.8
kde_kpi_avg_length_of_stay_ai
Float 4.05
kde_kpi_occupancy_guest_ai
Float 0.53
kde_kpi_occupancy_calendar
Float 0.8006

Description

Our Vacation Rental Area KPIs dataset provides comprehensive, aggregated performance metrics for vacation rental markets worldwide based on Online Travel Agency data.
--- DATASET OVERVIEW --- This dataset delivers critical market intelligence including occupancy rates, average daily rates, revenue per available rental, booking pace, and seasonal demand patterns across different geographic areas. With daily updates, AI-driven forward projections, and four years of historical data, it offers property managers, investors, and market analysts the essential benchmarks needed to understand market performance, identify emerging trends, and develop data-driven strategies in the rapidly evolving vacation rental sector. The data is sourced from major OTA platforms and processed through advanced aggregation methodologies that ensure statistical validity while preserving crucial market signals. Our proprietary algorithms enhance the raw data with sophisticated trend analysis and forward-looking projections, enabling users to anticipate future market conditions with increased confidence. --- KEY DATA ELEMENTS --- Our dataset includes the following core performance metrics for each property: - Property Groups: Group by property type, bedroom counts, key amenities groups - Geographic Identifiers: Multiple geographic levels (vacation area, vacation region, county, etc) - Temporal Dimensions: Daily, weekly, monthly, and quarterly performance metrics - Occupancy Metrics: Market-wide occupancy rates and booking pace indicators - Pricing Metrics: Average daily rates (ADR), revenue per available rental night (RevPAR), and price trends - Booking Pattern Indicators: Average lead time, length of stay, and booking frequency - Seasonality Metrics: Seasonal demand patterns and year-over-year comparisons - Demand Forecasts: Forward-looking projections for occupancy and pricing trends - Historical Pacing: Snapshots into how stay date ranges developed for tracking pacing trends - Forward Looking Trends: Area KPIs 180-365 days into the future --- USE CASES --- Market Performance Benchmarking: Property managers and owners can benchmark their individual property or portfolio performance against market-wide metrics. By comparing property-specific occupancy rates, ADR, and RevPAR against market averages for similar property types, managers can assess relative performance and identify areas for improvement. These benchmarks provide crucial context for performance evaluation and goal setting. Investment Decision Support: Real estate investors and portfolio managers can use market-level performance data to identify attractive investment opportunities across different geographic areas. The comprehensive market metrics reveal high-performing areas, emerging markets, and potential investment risks based on actual performance data rather than anecdotal evidence. This information supports data-driven acquisition strategies and portfolio diversification decisions. Demand Forecasting and Planning: Revenue managers and property operators can leverage the historical performance patterns and forward-looking projections to anticipate demand fluctuations and plan accordingly. The seasonal patterns, booking pace indicators, and AI-enhanced forecasts enable proactive rate adjustments, marketing timing, and operational planning to maximize revenue opportunities during high-demand periods. Market Entry Analysis: Companies considering entering new vacation rental markets can utilize this dataset to understand market dynamics, competitive intensity, and performance expectations before committing resources. The comprehensive market metrics reduce market entry risk by providing clear visibility into potential revenue opportunities, seasonal patterns, and overall market health. Performance Attribution Analysis: Market analysts can use this dataset to understand the drivers behind performance variations across different markets and time periods. By analyzing how market composition, seasonality, and external factors influence overall performance, analysts can identify the underlying causes of performance trends and develop more accurate forecasting models. Economic Impact Assessment: Economic development organizations and tourism authorities can leverage this dataset to quantify the economic contribution of the vacation rental sector. The market-wide revenue metrics, occupancy patterns, and supply growth indicators provide valuable inputs for economic impact studies and policy development related to the short-term rental industry. --- ADDITIONAL DATASET INFORMATION --- Delivery Details: • Delivery Frequency: daily | weekly | monthly | quarterly | annually • Delivery Method: scheduled file loads • File Formats: csv | parquet • Large File Format: partitioned parquet • Delivery Channels: Google Cloud | Amazon S3 | Azure Blob • Data Refreshes: daily Dataset Options: • Coverage: Global (most countries) • Historic Data: Available (2021 for most areas) • Future Looking Data: Available (Current date + 180-365 days) • Point-in-Time: Available (with weekly as of dates) • Aggregation and Filtering Options: • Area/Market • Time Scales (daily, weekly, monthly) • Listing Source • Property Characteristics (property types, bedroom counts, amenities, etc.) • Management Practices (professionally managed, by owner) Contact us to learn about all options. --- DATA QUALITY AND PROCESSING --- Our data processing methodology ensures high-quality, statistically valid market metrics that accurately represent actual market conditions. The raw property-level data undergoes extensive validation, normalization, and aggregation processes to produce reliable market indicators that support confident decision-making. We employ sophisticated statistical techniques to address sampling biases, ensure adequate representation across different property segments, and maintain consistency across different geographic scales. Our aggregation methodologies are designed to preserve important market signals while providing adequate anonymization and statistical validity. Regular quality assurance processes verify data accuracy, completeness, and consistency, ensuring that users receive reliable information for critical business decisions. Our comprehensive coverage across major global markets provides a truly representative view of vacation rental performance at the property level.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Pricing

Key Data Dashboard has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
daily
weekly
monthly
quarterly
yearly
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections?

Our Vacation Rental Area KPIs dataset provides comprehensive, aggregated performance metrics for vacation rental markets worldwide based on Online Travel Agency data.

What is Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections used for?

This product has 5 key use cases. Key Data Dashboard recommends using the data for Real Estate Investment, Property Managers, Demand Forecasting, Trend Analysis, and Property Investment. Global businesses and organizations buy Vacation Rental Data from Key Data Dashboard to fuel their analytics and enrichment.

Who can use Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Vacation Rental Data. Get in touch with Key Data Dashboard to see what their data can do for your business and find out which integrations they provide.

Which countries does Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Key Data Dashboard is headquartered in United States of America.

How much does Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections cost?

Pricing information for Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections is available by getting in contact with Key Data Dashboard. Connect with Key Data Dashboard to get a quote and arrange custom pricing models based on your data requirements.

How can I get Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections?

Businesses can buy Vacation Rental Data from Key Data Dashboard and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Key Data Dashboard can deliver this product in .csv format.

What is the data quality of Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections?

You can compare and assess the data quality of Key Data Dashboard using Datarade’s data marketplace.

What are similar products to Vacation Rental Area KPIs Global OTA Data Daily Updated Performance Metrics with Historic Pacing + Future Projections?

This product has 3 related products. These alternatives include Vacation Rental Performance KPIs Global OTA Data Property-Level KPIs with Revenue & Occupancy Insights, Grepsr Trip Advisor Property Address and Reviews Global Coverage with Custom and On-demand Datasets, and Tourism Data Travel Data 330M+ Global Devices CCPA Compliant. You can compare the best Vacation Rental Data providers and products via Datarade’s data marketplace and get the right data for your use case.