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 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 Singapore contains:
2022 Population
Residents by Housing and VISA type
2020 Census metrics (citzens only): Age Profile, Ethnicity, Income, Language Spoken at home, Education Level, Students
GapMaps provides key variables at 150m x 150m 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:
Population Summary
Residents by Housing and Visa Type (2022, No. of Residents)
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 contract-based pricing dimension: Product Access (Units). You buy access to the Singapore demographics dataset through one unit-based measure, rather than choosing among tiers or instance sizes. There are no separate usage add-ons or scaling levels to select. Access grants you the Singapore demographic data, which includes census metrics such as residents by housing type, age profile, ethnicity, income, language spoken at home, and education level. Pricing scales only by the number of access units you subscribe to under the contract term.
Top-of-mind questions for buyers
What counts as one Product Access unit for billing?
One unit grants subscription access to the Singapore demographic dataset under the contract. It is not counted per user, per query, or per record. The unit represents your right to access and use the dataset for the contract term, not a measure of consumption.
What geographic detail and metrics does the Singapore dataset include?
The data covers 150m x 150m grids in major cities and 1km x 1km grids outside cities. It includes 2025 census metrics such as residents by housing and visa type, age profile, ethnicity, income, language spoken at home, and education level for residents.
Does my cost change with how much data I query or download?
No. This is a contract subscription, not usage-based billing. Your cost is fixed by the number of Product Access units you subscribe to. Querying, viewing, or exporting the dataset does not add charges. There are no tiers, overage points, or per-record fees to trigger cost changes.
www.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.
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 provides highly accurate and globally consistent demographic datasets at a granular level. Understand who lives in a trade area, 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.
The Singapore Nanopore Expression (SG-NEx) project is an international collaboration to generate reference transcriptomes and a comprehensive benchmark data set for long read RNA-Seq. Transcriptome profiling is done using Nanopore PCR-cDNA sequencing (PCR-cDNA), Nanopore amplification-free cDNA sequencing (direct cDNA), Nanopore direct sequencing of native RNA (direct RNA), PacBio IsoSeq, and short read RNA-Seq. The SG-NEx core data includes 5 of the most commonly used cell lines and it is extended with additional cell lines and samples that cover a broad range of human tissues. All core samples are sequenced with at least 3 high quality replicates. For a subset of samples spike-in RNAs are used and matched m6A profiling data is available.