GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets down to a 150m grid level. Understand who lives in a catchment, where they work and their spending potential so you can better understand your customers, identify optimal locations to expand your retail footprint, define sales territories for franchisees and run targeted marketing campaigns.
GapMaps Demographics Data for Philippines - Premium
GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets down to a 150m grid level. Understand who lives in a catchment, where they work and their spending potential which allows you to:
better understand your customers
identify optimal locations to expand your retail footprint
define sales territories for franchisees
run targeted marketing campaigns.
The basic demographics data for Philippines contains:
2023 Population Estimates
2023 Demographics estimates (based on 2020 Census): Sex, Age Summary, Age by sex
GapMaps provides key variables at 150m x 100m grids in major cities. Outside of these cities data is supplied at 1km x 1km grids.
Requirement for subscription request:
Before a data subscription can be purchased GapMaps require you to complete a subscription request form to verify your identity and the intended use cases for the data. Please provide these details once you hit the subscribe button. GapMaps have 45 days to approve or decline this request.
If you require further information or support, please contact GapMaps at aws<_support@gapmaps.com>.
Example fields:
Gender (No. of Residents, 2023)
Age Profile (No. of Residents, 2023)
Age Profile (No. of Male Residents, 2023)
Age Profile (No. of Female Residents, 2023)
Population Summary
Resident Retail Spending (2023, PHP Per Annum)
Resident Retail Spending Per Capita (2023, PHP Per Annum)
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension: Product Access, measured in Units. You buy access under a contract to receive the Philippines demographics dataset. The Units dimension grants subscriber access to the product; there are no separate tiers or instance sizes to choose from. The data covers resident and worker populations plus consuming class estimates at small grid levels. Because pricing rests on one access dimension, your cost is tied to the contract terms for that access rather than scaling across multiple usage measures.
Top-of-mind questions for buyers
What does one unit of Product Access grant me for the Philippines dataset?
One unit of Product Access grants subscriber access to the Philippines demographics dataset under the contract. It is not a per-user or per-record charge. Access unlocks the full dataset covering resident population, worker (daytime) population, and consuming class estimates at small grid levels.
What geographic detail level is included with this Philippines dataset access?
The data comes at 100m x 100m or 250m x 250m grid levels. It includes 2020 resident population, worker (place of work) population, and consuming class (income/expenditure) estimates. This granularity lets you view populations down to small local areas, not just city totals.
Does my cost change based on how much of the data I query or use?
No. Cost rests on the single Product Access dimension tied to your contract terms. There are no separate usage meters, query charges, or data-volume tiers. Access to the dataset is granted as a whole, so your cost does not scale with query frequency or records retrieved.
gapmaps.com
Helpful?
Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact aws_support@gapmaps.com.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Annual private limited companies financial information submitted by every statutory companies as part of the filing and regulatory purposes. Includes P&L, Balance sheet, Cash flow, Directors report, auditor notes and any necessary disclosure.
This dataset includes historical and upcoming job postings for the Philippines (PH) collected by Techmap since January 2020,
with an average of 124.7k new postings added monthly.
Use it to identify leads, track hiring trends, analyze markets, spot company signals, or enhance job boards.
Gain actionable insights into emerging technologies and potential prospects to stay competitive.
GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets down to a 150m grid level. Understand who lives in a catchment, where they work and their spending potential so you can better understand your customers, identify optimal locations to expand your retail footprint, define sales territories for franchisees and run targeted marketing campaigns.
GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets down to a 150m grid level. Understand who lives in a catchment, where they work and their spending potential so you can better understand your customers, identify optimal locations to expand your retail footprint, define sales territories for franchisees and run targeted marketing campaigns.