Xtract.io Polygon Data | Map Data Marinas in US and Canada
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Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| Integer | 1 | UID | |
| String | 12456789 | Brand ID | |
| String | Product URL | ||
| String | Seward Harbormaster | Brand Name | |
| String | Address | ||
| Float | 60.116553958831 | Latitude | |
| Float | -149.43935390512 | Longitude | |
| String | MultiPolygon (((-149.44156653374190569 60.116359140454015... | Latitude-Longitude | |
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Status
|
String | Completed | |
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Remarks
|
String | ||
| String | Marinas in US | Product Category |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | Seward Harbormaster | Location Name | |
| String | Address | ||
| Decimal | 60.11655396 | Latitude | |
| Decimal | -149.4393539 | Longitude | |
| Decimal | MultiPolygon (((-149.44156653374190569 60.116359140454015... | Latitude-Longitude |
Description
Country Coverage
History
Volume
| 199 | Polygon Records |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$40.83 / purchase |
| Monthly License | Not available |
| Yearly License | Not available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Xtract.io Polygon Data Map Data Marinas in US and Canada?
Extensive polygon data for marinas across the US and Canada. Includes custom-drawn boundaries and precise location information. Valuable for marine industry analysis, recreational planning, and coastal development studies.
What is Xtract.io Polygon Data Map Data Marinas in US and Canada used for?
This product has 5 key use cases. Xtract recommends using the data for Geofencing, Location Analytics, Trend Analysis, Point of Interest (POI) Mapping, and Location Insights. Global businesses and organizations buy Location Data from Xtract to fuel their analytics and enrichment.
Who can use Xtract.io Polygon Data Map Data Marinas in US and Canada?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Xtract to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Xtract.io Polygon Data Map Data Marinas in US and Canada go?
This product has 12 months of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Xtract.io Polygon Data Map Data Marinas in US and Canada cover?
This product includes data covering 2 countries like USA and Canada. Xtract is headquartered in United States of America.
How much does Xtract.io Polygon Data Map Data Marinas in US and Canada cost?
Pricing for Xtract.io Polygon Data Map Data Marinas in US and Canada starts at USD40.83 per purchase. Connect with Xtract to get a quote and arrange custom pricing models based on your data requirements.
How can I get Xtract.io Polygon Data Map Data Marinas in US and Canada?
Businesses can buy Location Data from Xtract and get the data via SFTP and Email. Depending on your data requirements and subscription budget, Xtract can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of Xtract.io Polygon Data Map Data Marinas in US and Canada?
Xtract has reported that this product has the following quality and accuracy assurances: 95% Match Rate. You can compare and assess the data quality of Xtract using Datarade’s data marketplace. Xtract has received 1 review from clients. Xtract appears on selected Datarade top lists ranking the best data providers, including Top 10 POI Data Providers & APIs.
What are similar products to Xtract.io Polygon Data Map Data Marinas in US and Canada?
This product has 3 related products. These alternatives include Xtract.io - Polygon Data Top Theatres in US Map Data Geometry Data, SafeGraph: Location Data - Global Coverage 52M+ POIs, and Geospatial Data Global Map data Postal/Zip code boundaries Polygon data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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