ESG Data | Business Location Information, Foot Traffic, and Footprint Data for ESG Risk
| Latitude | Longitude | NAICS | Category Tags | +21 more |
|---|---|---|---|---|
| 36.714767 | -121.662912 | 441110 | [Mexican Food,Casual Dining,Lunch,Dinner] | ... |
| 36.714767 | -121.662912 | 441110 | [Mexican Food,Casual Dining,Lunch,Dinner] | Sample |
Available Datasets for Purchase
Description
Data Attributes
| Attribute & Description | Example |
|---|---|
|
Latitude
Latitude coordinate of the place of interest.
|
36.714767 |
|
Longitude
Longitude coordinate of the place of interest.
|
-121.662912 |
|
NAICS
6-digit NAICS code describing the business.
|
441110 |
|
Category Tags
For POI with naics_code starting 722, we provide an array of descriptive tags indicating higher-resolution category information.
|
[Mexican Food,Casual Dining,Lunch,Dinner] |
|
Open Hours
A JSON string with days as keys and opening & closing times (in the POI's local time) as values. See more info in Places Manual
|
{ "Mon": [["8:00", "22:00"]], "Tue": [["8:00", "13:00"], ["18:00", "24:00"]], "Wed": [["0:00", "2:00"]], "Thu": [["0:00", "24:00"]]... |
|
Street Address
Street address of the place of interest.
|
1100 Auto Center Circle |
|
Brand
If this POI is an instance of a larger brand that we have explicitly identified, this column will contain that brand name. This is an easy way to, for example, unambiguously select all Target stores in the USA. A POI may have multiple brands, as in a new car dealership that sells ford and lincoln cars.
|
Walmart |
|
Placekey
Unique and persistent ID tied to this POI. See the Places Manual for details on placekey design.
|
[email protected] |
|
Parent Placekey
If place is a tenant / sub-store inside a larger place (e.g. mall, airport, stadium), this lists the placekey of the parent place, otherwise null. See more on parent-child relationships in the Places Manual.
|
[email protected] |
|
Location Name
The name of the place of interest.
|
Salinas Valley Ford Lincoln |
|
Top Category
The label associated with the first 4 digits of the POI’s NAICS category.
|
Automobile Dealers |
|
Sub Category
The label associated with all 6 digits of the POI’s NAICS category.
|
New Car Dealers |
|
City
The city in which this point of interest is located.
|
Irvine |
|
Region
When iso_country_code == US, then this is the USA state or territory. When iso_country_code == CA, then this is the Canadian Province or territory.
|
CA |
|
Postal Code
When iso_country_code == US, then this is the USA 5 digit zip code. When iso_country_code == CA, then this is the Canadian postal code in the form of a 3 digit Forward Sortation Area (FSA), a space, and the 3 digit Local Delivery Unit (LDU).
|
92602 |
|
ISO Country Code
The 2 letter ISO 3166-1 alpha-2 country code. Expected values are US and CA.
|
US |
|
Phone Number
The phone number of this POI
|
+14151234567 |
|
Opened On
The year and month this POI opened in yyyy-mm format. If null, then this POI either opened before our earliest metadata on this POI (see "tracking_opened_since"), or we do not have enough metadata to determine an open date.
|
2019-10 |
|
Closed On
The year and month this POI closed in yyyy-mm format. If null, then this POI is open.
|
2020-03 |
|
Stock Symbol
The stock ticker (if the corporation is traded publicly)
|
F |
|
polygon_wkt
The shape of the place of interest, formatted as Well-Known Text (WKT).
|
Polygon ((-121.663310 36.715207, …, -121.663310 36.715207)) |
|
includes_parking_lot
Whether or not the polygon includes the parking lot.
|
false |
|
visitor_home_cbgs
The number of visitors to the POI from each census block group based on the visitor's home location.
|
{"360610112021": 603, "460610112021": 243, "560610112021": 106, "660610112021": 87, "660610112021": 51} |
|
bucketed_dwell_times
The distribution of visit dwell times based on pre-specified buckets. Key is the range of dwell time in minutes and value is number of visits that were within that range.
|
{ "<5": 40, "5-20": 22, "21-60": 45, "61-240": 3, ">240": 5} |
|
census_block_group
FIPS code for this Census block group
|
530330080012 |
Geography
History
Volume
| 200 | Countries |
| 7,800 | Brands |
| 30 | Attributes |
| 11 million | POI (Points of Interest) |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
Detailed business listing information about points of interest (POI) to be used for ESG risk data. Create ESG scores using address, location, lat/log, open-hours, footprint, and foot traffic data. Understand qualities like demographic catchment, flood risk, and co-tenancy using SafeGraph POI data.
What are the data attributes of ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
This product has 25 key data attributes. These include Latitude, Longitude, NAICS, Category Tags, and Open Hours. Request a data sample from SafeGraph to see these attributes in more detail and see what information they can provide.
What is ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk used for?
This product has 5 key use cases. SafeGraph recommends using the data for ESG Investing, Portfolio Construction, Portfolio Analysis, ESG Performance Analysis, and Catchment Area Analysis. Global businesses and organizations buy ESG Data from SafeGraph to fuel their analytics and enrichment.
Who can use ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for ESG Data. Get in touch with SafeGraph to see what their data can do for your business and find out which integrations they provide.
How far back does the data in ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk go?
This Dataset / Database / Data Feed / Data API has 3 years of historical coverage. It can be delivered on a monthly and on-demand basis.
Which countries does ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk cover?
This product includes data covering 240 countries like USA, China, Japan, Germany, and India. SafeGraph is headquartered in United States of America.
How much does ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk cost?
Pricing information for ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk is available by getting in contact with SafeGraph. Connect with SafeGraph to get a quote and arrange custom pricing models based on your data requirements.
How can I get ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
Businesses can buy ESG Data from SafeGraph and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, SafeGraph can deliver this product in .csv format.
What is the data quality of ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
You can compare and assess the data quality of SafeGraph using Datarade’s data marketplace. SafeGraph has received 17 reviews from clients. SafeGraph appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing and Top 10 POI Data Providers & APIs.
What are similar products to ESG Data Business Location Information, Foot Traffic, and Footprint Data for ESG Risk?
This Dataset / Database / Data Feed / Data API has 3 related products. These alternatives include Site Selection Data - USA, UK, Canada Business Listing Information and Foot-traffic, Visitor, and Demographic Aggregations Business Location Data, Building Footprints data +5M locations in the U.S, and INRIX Historical Traffic Information (Traffic Data for Europe and North America). You can compare the best ESG Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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