How Many Inns are in Philippines?

There are 1,878 Inns in Philippines as of June, 2025. Our database covers major metropolitan areas including Puerto Princesa and General Santos City , which feature substantial concentrations of Innsβ€” 46 locations in Puerto Princesa and 37 in General Santos City . Puerto Princesa alone represents approximately 2.45% of all Inns in Philippines.

Data last updated: June, 2025

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Data Sample Preview

Here's a preview of our data. This sample shows only 10 out of 1,878 total Inns available in our complete dataset.

Business Name City State/Region Phone Email Website Rating Reviews
Bavaria German Restaurant & Inn N/A N/A πŸ“ž βœ‰οΈ πŸ”— 4.3⭐ 378
Hotel 45 N/A Benguet πŸ“ž βœ‰οΈ πŸ”— 3.6⭐ 657
SunValley Tourist Inn Coron Palawan πŸ“ž βœ‰οΈ πŸ”— 4.3⭐ 125
Microtel by Wyndham Mall of Asia N/A Metro Manilaβ€Ž πŸ“ž βœ‰οΈ πŸ”— 4.3⭐ 1509
Urbiz Garden N/A La UniΓ³n πŸ“ž βœ‰οΈ πŸ”— 4.4⭐ 146
GV Hotel Valencia N/A N/A πŸ“ž βœ‰οΈ πŸ”— 3.6⭐ 172
Budget Lodge Urdaneta N/A πŸ“ž βœ‰οΈ πŸ”— 3.4⭐ 50
Microtel by Wyndham Baguio N/A Benguet πŸ“ž βœ‰οΈ πŸ”— 4.4⭐ 642
Rooms498 ( Rooms for rent ) Mandaluyong Metro Manilaβ€Ž πŸ“ž βœ‰οΈ πŸ”— 4.1⭐ 21
Baguio Transient House N/A Benguet πŸ“ž βœ‰οΈ πŸ”— 4⭐ 57

Available in multiple formats: CSV, JSON, Excel | Verified and updated data | Instant download after purchase

What Data Do We Provide?

Our dataset for Inns in Philippines is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 1,878 verified listings.

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Essential Business Details

Complete business name, full address, and operational hours for all 1,878 Inns

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Verified Contact Information

Direct phone numbers, email addresses, and website URLs for Inns across Philippines

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Customer Engagement Metrics

Average ratings, total review counts, and customer feedback data from Inns in Philippines

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Precise Geolocation Data

Exact latitude/longitude coordinates and regional distribution across 52 states in Philippines

Complete Data Fields for Inns in Philippines:

Each of the 1,878 Inns records includes:

  • Business Name
  • Complete Street Address
  • Website URL
  • Phone Number
  • Email Address
  • Customer Rating
  • Review Count
  • Photo Count
  • Business Timezone
  • Latitude Coordinates
  • Longitude Coordinates
  • Business Categories
  • Price Range Information
  • Rating Distribution
  • Business Photos
  • Popular Times Data
  • Additional Business Info
  • Key Business Highlights
  • Operating Hours
  • Topic Categories
  • Owner Information
  • Google Maps URL
  • Last Updated Date

Top Markets & Regions for Inns in Philippines

Discover the states and cities with the highest concentration of Inns to identify market opportunities and competitive landscapes. For example, Cebu leads with 151 Inns, representing 8.04% of the total market.

Leading States/Regions (52 total)

State/Region Inns Market Share
Cebu 151 8.04%
Palawan 135 7.19%
Metro Manilaβ€Ž 130 6.92%
Benguet 106 5.64%
Bohol 104 5.54%
Negros Occidental 41 2.18%
Albay 38 2.02%
Ilocos Sur 29 1.54%
Aurora 28 1.49%
Mountain Province 28 1.49%
Leyte 28 1.49%
La UniΓ³n 25 1.33%
Surigao Del Norte 24 1.28%
Cotabato 22 1.17%
Zambales 21 1.12%
Ilocos Norte 21 1.12%
Camiguin 20 1.06%
Lanao Del Norte 16 0.85%
Zamboanga Del Norte 15 0.80%
Davao Oriental 14 0.75%

Top Cities by Inns Volume (10 cities)

City Inns Market Share
Puerto Princesa 46 2.45%
General Santos City 37 1.97%
Tagum 35 1.86%
Tagaytay 33 1.76%
El Nido 33 1.76%
Panglao 32 1.70%
Cagayan De Oro- 30 1.60%
Sagada 25 1.33%
Malay 22 1.17%
Oslob 19 1.01%

How You Can Use Inns Data from Philippines

Our comprehensive dataset of 1,878 Inns in Philippines empowers you to reach the right audience through multiple channels. Here are key ways this data can give you a competitive edge in the inn industry.

Market Research & Competitive Analysis

Analyze trends, saturation, and competitor presence across 52 states in Philippines to uncover underserved areas and high-potential markets for Inns.

Lead Generation & Sales Prospecting

Find and reach Inns in Philippines using verified phone numbers, websites, and category filters for smarter, targeted prospecting.

Location Intelligence & Expansion Planning

Plan new inn openings or rollouts using density maps and insights from our 1,878 listings to target low-competition, high-demand zones in Philippines.

AI & NLP Model Training

Train machine learning models with structured data and real user reviews from 1,878 Inns for improved sentiment analysis and recommendation systems.

Real Estate & Investment Insights

Evaluate commercial potential in Philippines by analyzing the distribution of Inns across 10 cities and their activity trends.

Email Marketing Campaigns

Run targeted email campaigns to Inns in Philippines using verified email addresses for personalized outreach and improved conversion rates.

Cold Calling & Telemarketing

Use up-to-date phone numbers from our 1,878 Inns database to initiate effective conversations and improve call conversion rates.

Direct Mail Marketing

Send promotional materials to Inns across Philippines using accurate mailing addresses for targeted delivery and higher response rates.

Social Media Outreach

Engage Inns in Philippines via Instagram, LinkedIn, or Facebook using curated profile data for multi-channel marketing.

Footfall & Demand Estimation

Estimate local foot traffic and demand by analyzing the concentration of Inns in specific regions of Philippines and their popularity metrics.

Local SEO & Digital Services

Optimize marketing strategies for Inns by studying GMB listings, ratings, and categories used by top-performing competitors in Philippines.

Mapping & Navigation Integration

Add inn POI data to your apps for delivery, logistics, or travel using accurate coordinates from 1,878 verified locations in Philippines.

Ready to Access Complete Inns Data from Philippines?

Unlock the complete dataset of 1,878 verified Inns in Philippines available in multiple formats (JSON, CSV, Excel). Our data covers 52 states/regions and 10 major cities with comprehensive business information. Get your free sample today and see the data quality that sets us apart!

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