Best Geospatial Datasets, Databases & APIs

What is Geospatial Data?

Geospatial data refers to facts that relate to a specific object or area located on the surface of the Earth. Geospatial data can be linked to either static assets (e.g. buildings) or assets in motion (e.g. vehicles). Datarade helps you find geospatial data APIs and datasets. Learn more

Recommended Geospatial Data Products

50+ Results
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Geospatial Data: Places Data | USA, UK, CA | Location Data on 11M+ Places

Geospatial data on information about points of interest (POI), such as brand, address, location, lat/ ... SafeGraph Places provides baseline geospatial data for every location in the SafeGraph product suite
Available for 3 countries
11M POI (Points of Interest)
3 years of historical data
97% Location accuracy
Starts at
$0.10 / purchase
Free sample available
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Global Point-of-Interest Data | POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location | 200 Million+ POIs Mapped

Our unparalleled combination of points-of-interest (POI) data enriched with Sentiment and Footfall KPIs ... We provide the most accurate, comprehensive and up-to-date POI/Location data, enriched with business
Available for 249 countries
320 Billion Pieces of Online Content Analyzed Each Day
5 years of historical data
Starts at
$49 / purchase
Free sample preview
Free sample available

OnPoint Geospatial by Weather Source

OnPoint Geospatial can incorporate deep, historical data with present and forecast data to provide powerful ... Additionally, Weather Source data is built for easy integration with other geospatial file formats such
Available for 248 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License
5% Datarade discount
Free sample available
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Echo Analytics | Points of Interest data (POI Data) | 12M+ Locations in UK, France, Italy, Germany & Spain

POI data has become essential to fuel spatial data models thanks to the granularity of the information ... POI data provides core information of any physical location, including its specific address, building
Available for 5 countries
3 years of historical data
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
Free sample available
Start icon4.9(2)

Factori_High Fidelity Mobility Data|Foot Traffic|Raw Mobile Location Data:200 Billion+ Locations

by Factori
High-Fidelity Mobility Data Reach: Our reach data represents the total number of data counts available ... Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights
Available for 194 countries
214M Total Daily Pings
1 years of historical data
90% Vertical Accuracy
Starts at
$5,000 / month
Free sample preview
Free sample available

Tamoco Geospatial Smartphone Mobility data

by Tamoco
Tamoco collects high-precision geospatial mobility data from smartphones. ... Tamoco collects high-precision geospatial mobility data from 300,000+ users globally.
Available for 194 countries
300M devices
2 years of historical data
Pricing available upon request
10% Datarade discount
Free sample available
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Intuizi Postal Origin Dataset | Point of Origination data for US or UK | Cloud delivery or visualised on our platform | 400m Uniques, updated daily

by Intuizi
Data for US or UK; via Cloud or our visualisation platform. ... an anonymised dataset of Encrypted ID visitation/mobility data.
Available for 2 countries
400 m unique encrypted device identifiers
12 months of historical data
Starts at
$5,000 / purchase
Free sample preview
Free sample available
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IPinfo.io IP Address Geolocation Database | High-Quality IP Geolocation | Daily Updates, Global

by IPinfo
Accurate and up-to-date data every day! ... Furthermore, we can combine data from multiple sources (IP location, Anonymous IPs, and other data types
Available for 249 countries
67M Entries
3 years of historical data
Starts at
$750 / month
Free sample preview
Free sample available
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Coresignal | Historical Headcount Data on 64M Companies (Data Records Since November 2018)

Coresignal’s Historical Headcount data includes continuously updated snapshots of headcount and social ... Available firmographic data points allow you to put your findings into context by discovering other similar
Available for 249 countries
64 million company records
5 years of historical data
Available Pricing:
One-off purchase
Free sample available
Start icon5.0(1)

Bright Data | Owler Data - Company profiles

data sets at the click of a button. ... you company profiles Format your business data sets to suit your needs Define your own data collection
Available for 245 countries
97% Success rate in real-time
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

More Geospatial Data Products

Discover related geospatial data products.
131B Monthly Location Pings
90% Horizontal Accuracy
249 countries covered
We provide high-quality persistent mobility data from our partnered mobile apps & SDKs and this data feed is aggregated from multiple data sources globally a...
739K records
99.9% Coverage
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This is a Point of Interest (POI) Dataset for South Korea as of September 2021 containing 738,729 records. Of the 1941 categories, the top 10 are: Restaurant...
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This is a Point of Interest (POI) Dataset for New Zealand as of January 2022 containing 109,409 records. The data is categorized in 2477 categories with the ...
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Datasets of all gas stations in the United States with attributes like brand, address, geo-coordinates, opening hours, offered fuel types, services and payme...
11M POI (Points of Interest)
3 countries covered
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Business listing information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-quality dat...
500 million EIDs
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Intuizi's Anonymized Signals Dataset - an individual signal-level report of anonymous mobility. This data is derived from 1st-party consented mobile app d...
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You can now automatically collect LinkedIn data including company/employee profiles, and job-related data, delivered directly to your inbox. Bright Data’s Li...
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We've built the most robust dataset of compliant mobile device location data so you can focus on building game-changing products and solutions.
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Electric vehicle charging infrastructure, historical utilization data from the present day to 2019 covering the continental US and Europe. Charging stations ...
190 countries covered
We collect and curate high quality geolocation signals from millions of connected devices worldwide with the ability to provide real time and historical data.
249 countries covered
High quality image annotation services for training data for Artificial Intelligence, Machine Learning and Computer Vision use cases.
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Electric vehicle charging infrastructure metadata as of the present covering the continental US and Europe. Data contains fields such as location, model, cha...
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Discover the evolving top preferences & lifestyle vibe of any community at any point in time as a weighted list of topics. Measurable at city, postal, neighb...
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Capture the overall breakdown of positive, neutral & negative vibe of any community at any point in time. Measurable at city, postal, neighborhood or block p...
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SpaceKnow USA Supply Chain dataset offers +50 specific indices with real-time insights. The dataset monitors ports, containers, truck stops, logistics center...
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SpaceKnow monitors over 10,000 locations in China in near-real time, it's not by chance it's our most popular dataset package. What's available? Aggre...
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Front-row view on global commodity-relevant activity in near-real time as objectively observed by machines. Monitoring mines, storages, employee parking,...
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TESLA indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Rivian for employee parking, logistic...
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The Data Appeal Company
Based in Italy
The Data Appeal Company
Hyper-granular, comprensive and global POI & geolocation data combined with business information, customer sentiment, footfall and market context data (fligh...
+16%
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62%
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datarade.ai - SETLD profile banner
SETLD
Based in USA
SETLD
We empower our clients to reduce risk and make better and more profitable decisions. We deliver broad, sustainable, game-changing automated information solut...
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SafeGraph
Based in USA
SafeGraph
SafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Sysco, and Goldman Sachs. Our high-precision Places data...
7.1M
POI in US and CAN
5,500+
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>90%
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Sulpetro
Based in Canada
Sulpetro
Sulpetro is a data firm specializing in Natural Gas Liquid (LPG/NGL/HGL) market intelligence and data analytics. We’ve served the natural gas sector since 19...
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datarade.ai - Nextraq profile banner
Nextraq
Based in USA
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NexTraq®—a MICHELIN™ group company—is a trusted partner for fleet management services, simplifying fleet management while improving driver safety, reducing c...
datarade.ai - Tamoco profile banner
Tamoco
Based in United Kingdom
Tamoco
Tamoco provides first party mobile geospatial data to understand people movement, store visits and other physical world behaviours.
Accuracy
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Scale
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Open
Transparent methodologies

The Ultimate Guide to Geospatial Data 2023

Learn about geospatial data analytics, sources, and collection.

What is Geospatial Data?

Geospatial data is everywhere. The weather predictions, routes suggested by Google Maps, store locations, geotagged tweets and more – these are nothing but geospatial data. In simple words, geospatial data is any data related to an object which has its position on the earth – a mountain, horse, lake, river, road, building and countless others.
Some common types of geospatial data include:

The position of geospatial data could be static or short-term like an earthquake event, the location of the road, or people living in poverty, or it could be dynamic like the spread of infectious disease, moving car and so on. This data is usually stored as coordinates with respect to the earth with its topology mapped.

Geospatial data is important for a range of users. For instance, information related to public amenities, roads, water bodies, and localities is used as a reference for a large number of purposes. This data is widely available as open data, whether collected by private organizations or public agencies.

Who uses Geospatial Data and for what use cases?

Geospatial data has proved to be a new and reliable source of information for executives, marketers, data team leads, business intelligence teams, and all other entities that use third-party data to derive useful insights. It helps them in decision making and provides a clear representation of their physical assets and customers.

For this reason, geospatial data is increasingly used by businesses to determine the location of their next store, warehouse, real estate asset and the like. Undoubtedly, the right location of your physical asset plays an important role in determining the success of your initiative and this is where geospatial data empowers the businesses.

It provides quick insight into the population around an area. It could also help you in picking areas with maximum activity to conduct roadshows and other activities.

Geospatial data is also widely used by internet and mobile app companies. They want to know which apps are most commonly used in a particular location and how users behave in those regions. This way, geospatial data can work as an enrichment to their existing app usage data sets, enabling the demographic analysis of their audience based on its location.

What are typical Geospatial Data attributes?

The actual attributes of geospatial APIs can vary depending on the data providers. Most providers focus on the coordinates of the earth, while there are others which also bring the characteristics of an event or object into consideration. A lot of other data providers also focus on the time and location of the attributes.

There a many forms of GIS attributes, for example:

  • Location of buildings, cities, countries, and other relevant points of interest
  • The level of congestion or traffic in a certain area
  • Tourism statistics based on location
  • Insight on the lifestyle of customers
  • Sites where renewable resources are found
  • The extent of floods and other natural disasters

A lot of data providers also release weekly reports covering the fluctuations in geospatial data for better and updated insights.

How is Geospatial Data collected?

You want to understand the actual process of the data collection. The entire data collection process could incorporate a range of techniques like field data collection, geographical information science (GIS), data conversion and remote sensing data processing.

Thankfully, collecting geospatial data is now not as tough as it used to be. Companies can now collect related data from various sources. Primary geospatial datasets include light detecting and ranging like LIDAR, remote sensing data like RADAR and so on.

For instance, qualitative land-use maps are generated based on the high-resolution images received from the satellite. On the other hand, quantitative land-use maps can be generated from medium-resolution satellite images. These maps are generally used for conducting a regional-scale study.

In addition to providing us with qualitative and quantitative maps, geospatial data is also important for environmental studies like natural resource management, deforestation, and global warming.
To make the most out of Geospatial data, it is essential to have a proper geospatial database for easy analysis and mapping.

How to assess the quality of Geospatial Data?

Not all data is gold. The quality of data depends on how accurate and precise it is. This is why it is important to analyze the quality of Geospatial data.

For starters, the reputation of the organization from which you have sourced the data could give you a quick indication of the geospatial data quality. There are a lot of websites and organizations that provide good quality Geospatial data. Government organizations are one of them. However, it is essential to verify the data properly.

How can you do that? If it is accounting data, you can check if the numbers add up and make any sense. If it is textual data, you can look for spelling and grammar errors. However, there is no such solution for geospatial data. But you can take the help of tools like ArcGIS Data Reviewer to get insights into errors and data quality.

The most reliable method to verify geospatial data is to do a visual inspection on your own. Use the map data to verify that objects are in the right location. For example, an automobile accident location displayed in lakes can indicate that the data is not reliable. However, this is random and might not be the best way to analyze it

That said, verifying and assessing the quality of geospatial data is a tough job and depends on various parameters like accuracy, completeness, precision, and consistency.

How Geospatial Data is typically priced?

Most geospatial data APIs follow one of three pricing models:

  • Monthly subscriptions/licencing either flat or based on the number of times data is extracted
  • Tiered pricing based on the kind of data extracted
  • Custom pricing based on your specific set of requirements

However, there are various free GIS sources too, but the authenticity of data obtained from such sources is always questionable.

What are the common challenges when buying Geospatial Data?

When it comes to buying geospatial data, there are several challenges that one needs to encounter. There are a lot of geospatial data aggregators, both government and private which collect geospatial data. It becomes tough to choose one between them, especially when the quality of the data cannot be verified easily.

Data provider comparison is one of the leading issues in the world of external data. The issue is commonly related to lack of standardization within the market. Each geospatial data vendor has its own claims and plus points which makes it difficult to compare between the two provides and reach a conclusion. Further, the data provided by each agency varies depending on the format. Thus, it becomes important to gauge if the provided data format will work fine for your requirements.

Add to that, data distribution agreements also play an important role here. In various cases, local licensing agreements are in place which limits access to information.

What to ask Geospatial Data providers?

Before buying any form of geospatial data, there are some questions you might want to have cleared out:

  • How accurate and precise is the data provided?
  • Can the dataset be integrated with my current business technologies?
  • How frequently is the database updated?
  • Is there a sample set available for testing purposes?

You might want to ask other questions as well, depending on your use case.

Where can I buy Geospatial Data?

Data providers and vendors listed on Datarade sell Geospatial Data products and samples. Popular Geospatial Data products and datasets available on our platform are Geospatial Data: Places Data | USA, UK, CA | Location Data on 11M+ Places by SafeGraph, Global Point-of-Interest Data | POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location | 200 Million+ POIs Mapped by The Data Appeal Company, and OnPoint Geospatial by Weather Source by Weather Source.

How can I get Geospatial Data?

You can get Geospatial Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Geospatial Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Geospatial Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Geospatial Data?

Geospatial Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Commerce Data. These data categories are commonly used for Location Intelligence and Location Analytics.

What are the most common use cases for Geospatial Data?

The top use cases for Geospatial Data are Location Intelligence, Location Analytics, and Analytics.

Translations for this page

Datos geoespaciales (ES)