List of Financial Institutions in Philippines
There are 3,458 Financial institutions in Philippines. A random selection of cities, including Makati and Pasig` , features a substantial number of Financial institutions locations— 176 in Makati and 85 in Pasig` . Notably, Makati accounts for approximately 5.09% of all Financial institutions locations in the Philippines.
Data last updated on June, 2025.
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Explore 10 random sample listings from our dataset. Click on any contact icon for more details or to request your free sample.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| Barangka Credit Coop... | Marikina | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 4.5 | 30 |
| UnionBank of the Phi... | La Unión | Philippines | ☎ | ✉ | 🔗 | 2.5 | 10 | |
| SAINT LOUIS CREDIT C... | La Unión | Philippines | ☎ | ✉ | 🔗 | 0 | 0 | |
| RCBC BRANCH - SAN MA... | Philippines | ☎ | ✉ | 🔗 | 4.7 | 3 | ||
| UnionBank of the Phi... | Pampanga | Philippines | ☎ | ✉ | 🔗 | 2.4 | 14 | |
| RCBC BRANCH - RCBC P... | Makati | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 4.3 | 1367 |
| RCBC BRANCH - FAIRVI... | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 4.2 | 6 | |
| AFP Finance Center M... | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 5 | 2 | |
| Association of Devel... | Makati | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 5 | 1 |
| Lloyd's Financing Co... | Makati | Metro Manila | Philippines | ☎ | ✉ | 🔗 | 4.6 | 23 |
Complete Dataset Fields Overview
Sample States & Cities
Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.
994 (29%)
Metro Manila
Metro Manila contributes about 29% of all listings.
257 (7%)
Cebu
Cebu contributes about 7% of all listings.
109 (3%)
Pampanga
Pampanga contributes about 3% of all listings.
| State | Listings |
|---|---|
| Metro Manila | 994 (28.74%) |
| Cebu | 257 (7.43%) |
| Pampanga | 109 (3.15%) |
| Negros Occidental | 101 (2.92%) |
| Benguet | 45 (1.30%) |
| Leyte | 43 (1.24%) |
| Isabela | 41 (1.19%) |
| Albay | 40 (1.16%) |
| Quezon | 38 (1.10%) |
| Bohol | 33 (0.95%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings |
|---|---|
| Makati | 176 (5.09%) |
| Pasig` | 85 (2.46%) |
| Taguig | 83 (2.40%) |
| Cagayan De Oro- | 64 (1.85%) |
| Mandaue City | 43 (1.24%) |
| Mandaluyong | 41 (1.19%) |
| 'Angeles | 40 (1.16%) |
| Caloocan | 38 (1.10%) |
| Muntinlupa | 35 (1.01%) |
| Las Piñas | 34 (0.98%) |
What Data Do We Provide?
Our dataset for Financial institutions in Philippines is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 3,458 listings. This includes:
- Essential business details (name, address, and operational hours)
- Verified contact information (phone, email, and website)
- Customer engagement metrics (ratings and reviews)
- Precise geolocation data (latitude, longitude, and regional distribution)
- Additional attributes like categories, pricing, and more
For example, our analysis shows that in one of the leading regions – Metro Manila – there are over 994 listings, indicating a robust and competitive market.
How You Can Use This Data
Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:
- Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
- Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
- Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
- Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.
Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.
Need More Details?
Unlock access to the complete dataset of Financial institutions in Philippines in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.
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