PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market

#	geohash7	pedestrians	vehicles	vehicle_flow	latitude	longitude	average_kmh	minimum_kmh	maximum_kmh	average_maximum_linear_distance	maximum_linear_distance	average_maximum_linear_speed	maximum_linear_speed	average_timestamp	average_dwell_time	pings	structures_count	structures_confidence_sum	poi_confidence_average	temporary_accommodation_services_confidence	cultural_sports_recreational_services_confidence	retail_trade_services_confidence	working_hours_visits	non_working_hours_visits	women_population_percentage	men_population_percentage	ages_25_49_percentage	relative_wealth_index	relative_wealth_index_pedestrians
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
2	Xxxxxxxxx	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
3	Xxxxxxxxxx	Xxxxxxxx	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
4	xxxxxx	Xxxxxxxxx	xxxxx	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
5	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	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
6	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx
7	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx
8	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx
9	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx
10	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	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

Request Data Sample

Volume

rows

Data Quality

95%

quality rate

Avail. Formats

.bin, .json, and .xml

File

Coverage

Countries

History

years

Product Attributes

Attribute	Type	Example
geohash7	String	d1u0m42
pedestrians	Integer	28
vehicles	Integer	23
vehicle_flow	Float	1509.9157
latitude	Float	9.900550521
longitude	Float	-84.15438272
average_kmh	Float	27.9614
minimum_kmh	Float	15.6951
maximum_kmh	Float	115.92
average_maximum_linear_distance	Float	0.0352
maximum_linear_distance	Float	1.98
average_maximum_linear_speed	Float	0.1
maximum_linear_speed	Float	0.1
average_timestamp	Timestamp	1644360990
average_dwell_time	Float	44.3445
pings	Float	124
structures_count	Float	0.5
structures_confidence_sum	Float	154.7551
poi_confidence_average	Float	0.8347
temporary_accommodation_services_confidence	Float	0.66
cultural_sports_recreational_services_confidence	Float	1.2973
retail_trade_services_confidence	Float	0.5226
working_hours_visits	Float	0.66
non_working_hours_visits	Float	0.34
women_population_percentage	Float	0.4874
men_population_percentage	Float	0.5126
ages_25_49_percentage	Float	0.387
relative_wealth_index	Float	0.802
relative_wealth_index_pedestrians	Float	0.8023

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area from different countries in LATAM (Including Point of Interest (POI) Data and Foot Traffic. The dataset is divided into 150x150 sqm areas (geohash 7) and has over 60 variables.

- Use it for different applications: Our combined dataset, which includes POI and foot traffic data, can be employed for various purposes. Different data teams use it to guide retailers and FMCG brands in site selection, fuel marketing intelligence, analyze trade areas, and assess company risk. Our dataset has also proven to be useful to explore the Mexican real estate market. - Get reliable data: Our datasets have been processed, enriched, and tested so your data team can use them more quickly and accurately. - Ideal for trainning ML models. The high quality of our geographic information layers results from more than seven years of work dedicated to the deep understanding and modeling of geospatial Big Data. Among the features that distinguished this dataset is the use of anonymized and user-compliant mobile device GPS location, enriched with other alternative and public data. - Easy to use: Our dataset is user-friendly and can be easily integrated to your current models. Also, we can deliver your data in different formats, like .csv, according to your analysis requirements. - Get personalized guidance: In addition to providing reliable datasets, we advise your analysts on their correct implementation. Our data scientists can guide your internal team on the optimal algorithms and models to get the most out of the information we provide (without compromising the security of your internal data). Answer questions like: - What places does my target user visit in a particular area? Which are the best areas to place a new POS? - What are the expending habits of users in a particular area? - What socioeconomic characteristics do the people who travel in a particular area have? - What is the volume of traffic surrounding my current POS? - What is the influx of visits that my competition receives? This dataset is useful for getting insights from industries like: - Retail & FMCG - Banking, Finance, and Investment - Car Dealerships - Real Estate - Convenience Stores - Pharma and medical laboratories - Restaurant chains and franchises - Clothing chains and franchises Our dataset includes more than 200 variables, such as: - Number of users that stays in a specific quadrant. - Percentage of female/ male population. - Percentage of population from different age gaps (Example, 15 and 24 years old). - Pedestrian relative income index. How efficient is a Geohash? Geohash is a faster, cost-effective geofencing option that reduces input data load and provides actionable information. Its benefits include faster querying, reduced cost, minimal configuration, and ease of use. Geohash ranges from 1 to 12 characters. The dataset can be split into variable-size geohashes, with the default being geohash7 (150m x 150m). Why should you trust PREDIK Data-Driven as your data provider? In 2023, we were listed as Datarade's top providers. Why? Our solutions adapt according to the specific needs of companies. Also, PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

North America (10)

Belize

Bermuda

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Nicaragua

Panama

Saint Pierre and Miquelon

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.)

1 years of historical data

1 million

rows

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

95%

quality rate

Methods

Frequency

Format

Location Intelligence Site Visitation Retail Site Selection Point of Interest (POI) Mapping

POI Enrichment

Location Data Map Data Foot Traffic Data Point of Interest (POI) Data GIS Data

1M rows

95% quality rate

USA covered

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in the USA (Including Point of Int...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Connect with our experts to access accurate Global Point of Interest (POI) Data, enriched with everything you need to analyse POI distribution, customer sent...

23.1K Locations

96% Accuracy

2 countries covered

This product consists of point-of-interest data (POI) for all the Subway brand's - fast food restaurant locations in US and Canada

420M MAU

95% Match rate

248 countries covered

We provide POI Data, which helps power geographical information system (GIS) tools and provides data-driven insights across a wide range of use cases, from m...

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market?

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Location Intelligence, Site Visitation, Retail Site Selection, Point of Interest (POI) Mapping, and POI Enrichment. Global businesses and organizations buy Location Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location 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 I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market go?

This Tabular Data has 1 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market cover?

This product includes data covering 52 countries like Brazil, Argentina, Colombia, Chile, and Peru. Predik Data-driven is headquartered in United States of America.

How much does PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market cost?

Pricing information for PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market 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 I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market?

Businesses can buy Location Data from Predik Data-driven and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market?

Predik Data-driven has reported that this product has the following quality and accuracy assurances: 95% quality rate. 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 to use in 2023.

What are similar products to PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market?

This Tabular Data has 3 related products. These alternatives include PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +50 Data Variables for the US Market, The Data Appeal Global Point-of-Interest (POI) Data API, Dataset 251 Millions+ POI Data Mapped Footfall and Sentiment Insights, and Xtract.io - Points of Interest (POI data) Location data Fast-food restaurant company All Subway Brand locations in US and Canada. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Not available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Verified Provider

7h Avg. response time

100% Response rate

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven
Problem Solving with a Data-Driven Approach

Trusted by

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +60 Data Variables for the LATAM Market

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven Problem Solving with a Data-Driven Approach

Trusted by

Predik Data-driven
Problem Solving with a Data-Driven Approach