Global Point of Interest (POI) Data | 300M+ Places | 250 Countries & Territories | Third Party Logistics (3PL) | CPGs | Finance | Real Estate
# | dataplor_status |
data_quality_confidence_score |
open_closed_status |
open_closed_status_confidence_score |
opened_on |
closed_on |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
2 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
3 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
4 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
5 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
6 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
8 | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
9 | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
10 | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx |
... | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | 4bc53f9d-c148-43d8-93a5-2e04f12cc53f | POI ID | |
String | 4bc53f9d-c148-43d8-93a5-2e04f12cc53f | Placekey | |
String | Culver's Burgers | POI Name | |
String | dining | POI Category | |
String | diner | POI Sub-category | |
String | diner | POI Sub-category | |
String | fast_food_restaurant | Product Category | |
Float | 722515 | Company NAICS Code | |
Float | 5812 | Company SIC Code | |
String | culvers | Company ID | |
String | Culver's | Company Name | |
String | #213 | Location ID | |
String | SBUX:NASDAQ | Stock Ticker | |
String | POI Telephone | ||
String | Address | ||
String | Address | ||
String | Downers Grove | Neighborhood Name | |
String | Topeka | City Name | |
String | Kansas | State Name | |
String | 66604 | Postal Code | |
String | US | Country Code Alpha-2 | |
String | United States of America (the) | Country Name | |
Float | 39.0485 | Latitude | |
Float | -95.7622 | Longitude | |
dataplor_status
|
String | active/inactive | |
data_quality_confidence_score
|
String | 0.88 | |
open_closed_status
|
String | Open/Temporarily Closed/Permanently Closed/Open | |
open_closed_status_confidence_score
|
String | 0.95 | |
opened_on
|
String | 2007-11-19 | |
closed_on
|
String | 2020-09-04 |
Description
Geography
History
Volume
300 million | Total places |
30 million | Dining places |
65 million | Retail places |
15 million | Convenience & Grocery Stores |
10 million | Automotive Services |
3 million | Bars |
60 million | Civil Society |
15 million | Entertainment & Recreation |
20 million | Healthcare |
12 million | Home Services |
40 million | Professional Services |
10 million | Transportation Services |
10 million | Travel |
10 million | Beauty |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$25,000$22,500 / year |
Usage-based |
$0.07$0.06 / record |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate?
dataplor’s global dataset covers 300+ million locations across 250 countries and territories, making it one of the most comprehensive global datasets available. This global dataset is particularly valued for its ability to provide updates in real-time and weekly increments.
What is Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate used for?
This product has 5 key use cases. dataplor recommends using the data for Audience Extension, Company Analysis, Finance, Consumer Data Enrichment, and Third Party Logistics (3PL). Global businesses and organizations buy Location Data from dataplor to fuel their analytics and enrichment.
Who can use Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with dataplor to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate go?
This Tabular Data has 20 years of historical coverage. It can be delivered on a weekly, monthly, real-time, and on-demand basis.
Which countries does Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. dataplor is headquartered in United States of America.
How much does Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate cost?
Pricing for Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate starts at USD0.07 per record . dataplor offers a 10% discount when you buy data from them through Datarade. Connect with dataplor to get a quote and arrange custom pricing models based on your data requirements.
How can I get Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate?
Businesses can buy Location Data from dataplor and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, dataplor can deliver this product in .json and .csv format.
What is the data quality of Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate?
You can compare and assess the data quality of dataplor using Datarade’s data marketplace. dataplor has received 1 review from clients.
What are similar products to Global Point of Interest (POI) Data 300M+ Places 250 Countries & Territories Third Party Logistics (3PL) CPGs Finance Real Estate?
This Tabular Data has 3 related products. These alternatives include Grepsr Comprehensive Dataset of Walgreens US Stores Across the United States, The Data Appeal Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019, and Factori Point of Interest:POI Data Map Data Global Visitation 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.