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PREDIK Data-Driven: GIS Data | USA, Latam | Demographics & POI Data...
PREDIK Data-Driven: GIS Data | USA, Latam | Demographics & POI Data | Audienc...
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PREDIK Data-Driven: GIS Data | USA, Latam | Demographics & POI Data | Audience Data - Places Data product image in hero

PREDIK Data-Driven: GIS Data | USA, Latam | Demographics & POI Data | Audience Data - Places Data

Predik Data-driven
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#
device_id
id_type
latitude
longitude
horizontal_accuracy
timestamp
device_os
source_id
publisher_id
app_id
location_context
geohash
year
month
geohash3
geohash5
geohash6
geohash7
geohash8
geohash9
clave_device_dia
day_of_week
day
hour
distance_center
day_type
hour_type
distance_type
clave_device_dia_hora
in_polygon
kmh
ob_type
device_home_geohash
device_work_geohash
device_work_distance_center
rwi
administrative_area_level_1
administrative_area_level_2
administrative_area_level_3
route
political
country
locality
sublocality
neighborhood
postal_code
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 xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx
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Request Data Sample
Avail. Formats
.json, .csv, and .xls
File
Coverage
55
Countries
History
5
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
device_id
 2a9d0617-355b-4f38-92e1-e7b77ec301b3
id_type
 aaid
latitude
 Float 12.9110403060913 Latitude
longitude
 Float 77.5614013671875 Longitude
horizontal_accuracy
 6
timestamp
 1625553768000
device_os
 Android
source_id
 33
publisher_id
 7aae836893ea29f8299763b7759f64fd599766eb543dc7b7d7d80ba7e...
app_id
 2d901e3e08149bcede68d4563cf24058f8f4949c7e5f06b2e6b165851...
location_context
 0
geohash
 tdr1kyqkr8ke
year
 2021
month
 7
geohash3
 tdr
geohash5
 tdr1k
geohash6
 tdr1ky
geohash7
 tdr1kyq
geohash8
 tdr1kyqk
geohash9
 tdr1kyqkr
clave_device_dia
 2a9d0617-355b-4f38-92e1-e7b77ec301b318814
day_of_week
 2
day
 6
hour
 1
distance_center
 2014
day_type
 weekday
hour_type
 work_hour
distance_type
 <200
clave_device_dia_hora
 2a9d0617-355b-4f38-92e1-e7b77ec301b3188141
in_polygon
 1
kmh
 1.14440916824341
ob_type
 pedestrian
device_home_geohash
 tdr1kyqk
device_work_geohash
 tdr1kyqk
device_work_distance_center
 <200
rwi
 25-35
administrative_area_level_1
 Karnataka
administrative_area_level_2
 Bangalore Urban
administrative_area_level_3
 bangalore
route
 6th Main Road
political
 Bendre Nagar
country
 String India Country Name
locality
 Bengaluru
sublocality
 Bengal
neighborhood
 String little India Neighborhood Name
postal_code
 String 560070 Postal Code

Description

Curated Data to uncover and analyze consumer behavior trends using POI data, foot traffic and anonymized, aggregated mobility data. Detailed business information for POIs, attributes such as brand name, address, geographic coordinates, among others.
This dataset provides location data and foot traffic analysis for all countries, featuring enriched mobility information and visitation patterns to Points of Interest (POIs). It addresses key questions such as: How often do people visit specific locations? (daily, monthly, total counts, and averages). What kinds of places do they visit? (e.g., parks, schools, hospitals). What are the social characteristics of individuals at a particular POI? A classification by type: residents, workers, or visitors. How does their mobility change between day and night? What is the frequency of visits segmented by day of the week and time of day? Additional insights include: - The relative income level of visitors. - Visitor preferences, inferred from visits to locations like shopping centers, parks, sports venues, churches, and other places. Overview & Key Concepts Each data point represents a signal from a mobile device, captured at a specific time and location. This data is collected from reliable technology partners who acquire it through collaborations with apps that use location data, ensuring compliance with privacy regulations. We clean and process these extensive datasets with sophisticated, computationally intensive methods to make them suitable for various data science and machine learning applications, particularly for consumer behavior analysis. Key data attributes: - Device speed: Calculated based on the distance between signals, allowing us to estimate the device’s movement speed. This helps differentiate between vehicles, pedestrians, and stationary users. - Night location: We estimate the primary location of the device during nighttime, typically representing the user’s home area. - Day location: We estimate the most common daytime location during weekdays, usually representing the user’s workplace. - Income level: By analyzing the night location and cross-referencing it with socioeconomic data, we infer the income level of the user. This estimate varies based on available census data and ranges from a wealth index to an actual income figure. - POI visits: Each observation is mapped to POI databases to estimate visits to specific locations. These databases vary in depth and scope across regions. - POI category: For each observation tied to a POI, we assign a standardized category (e.g., park, hospital, etc.). Global coverage. Data delivery formats: We provide the data in three different formats: - Full dataset: One record per mobile signal. These datasets are very large and suited for expert teams with substantial computational resources. - Visitation stream: One record per identifiable visit. This dataset is more compact but retains the most valuable information, helping to understand who visits specific POIs and revealing consumer behavior. Audience profiles: One record per mobile device over a defined period (usually monthly). This aggregated version of the visitation stream groups users by type and provides a quick view of consumer segments in a particular area.

Country Coverage

North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

5 years of historical data

Pricing

Free sample available
Predik Data-driven has not published pricing information for this product yet. You can request detailed pricing information below.
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
Feed API
Frequency
weekly
monthly
quarterly
yearly
Format
.json
.csv
.xls
.sql

Use Cases

Categories

Related Searches

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Frequently asked questions

What is PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data?

Curated Data to uncover and analyze consumer behavior trends using POI data, foot traffic and anonymized, aggregated mobility data. Detailed business information for POIs, attributes such as brand name, address, geographic coordinates, among others.

What is PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Location Intelligence, Consumer Profiling, Account Scoring, Address Data Enrichment, and Audience Intelligence. Global businesses and organizations buy Map Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Map Data. Get in touch with Predik Data-driven to see what their data can do for your business and find out which integrations they provide.

How far back does the data in PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data go?

This product has 5 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Which countries does PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data cover?

This product includes data covering 55 countries like USA, Brazil, Canada, Mexico, and Argentina. Predik Data-driven is headquartered in United States of America.

How much does PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data cost?

Pricing information for PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.

How can I get PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data?

Businesses can buy Map Data from Predik Data-driven and get the data via S3 Bucket, SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .json, .csv, .xls, and .sql format.

What is the data quality of PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data?

You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.

What are similar products to PREDIK Data-Driven: GIS Data USA, Latam Demographics & POI Data Audience Data - Places Data?

This product has 3 related products. These alternatives include The Data Appeal Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019, Global POI Data 52M+ POIs Business Listings POI for Maps, and PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data. You can compare the best Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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