PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican Market product image in hero

PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican Market

Predik Data-driven
4.2(3)Badge iconVerified Data Provider
#
geohash7
latitude
longitude
cve_ent (entity code)
nom_ent (entity name)
cve_mun (municipality code)
nom_mun (municipality name)
dwell_unique_dev
traffic_unique_dev
unique_dwell_g9
unique_traffic_g9
count_d_devices
dwell_total
traffic_total
observations
men_enoe
women_enoe
avg_age_possible_enoe
avg_education_level_enoe
cannot_read_enoe
can_read_enoe
avg_n_children_enoe
married_enoe
single_enoe
weekend_visits
workday_visits
work_hours_visits
nighttime_visits
avg_hour_visits
avg_day_of_week_visits
avg_distance_work_visits
manufacturing_industry_locations_denue
wholesale_groceries_food_locations_denue
educational_visit_osm
hospital_visit_osm
mall_visit_osm
monthly_income_est_census
total_monthly_income_est_census
expense_v3_census
houses_one_room_census
houses_two_rooms_census
houses_three_rooms_or_more_census
population_c_census
population_d_census
health_expense_census
corporate_visits_denue
hotels_motels_visits_denue
for_sale_properties_pc
for_rent_properties_pc
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Request Data Sample
Volume
1M
rows
Data Quality
95%
quality rate
Avail. Formats
.bin, .json, and .xml
File
Coverage
1
Country
History
1
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
geohash7
String 9g6hhzb
latitude
Float 19.0276337
longitude
Float -98.22807312
cve_ent (entity code)
String 21
nom_ent (entity name)
Text PUEBLA
cve_mun (municipality code)
String 119
nom_mun (municipality name)
Text SAN ANDRES CHOLULA
dwell_unique_dev
Integer 249
traffic_unique_dev
Integer 265
unique_dwell_g9
Integer 408
unique_traffic_g9
Integer 295
count_d_devices
Integer 703
dwell_total
Integer 2151
traffic_total
Integer 579
observations
Integer 2730
men_enoe
Float 0.66666667
women_enoe
Float 0.33333333
avg_age_possible_enoe
Integer 47.66666667
avg_education_level_enoe
Integer 99
cannot_read_enoe
Float 0.041322314
can_read_enoe
Float 0.958677686
avg_n_children_enoe
Float 2
married_enoe
Float 0.5
single_enoe
Float 0.5
weekend_visits
Float 0.27006905
workday_visits
Float 0.72993095
work_hours_visits
Float 0.47446575
nighttime_visits
Float 0.52553425
avg_hour_visits
Float 13.9988131
avg_day_of_week_visits
Float 3.97556107
avg_distance_work_visits
Float 27.2500084
manufacturing_industry_locations_denue
Float 0.03030303
wholesale_groceries_food_locations_denue
Float 0.333333333
educational_visit_osm
Float 0.320130358
hospital_visit_osm
Float 0.204813236
mall_visit_osm
Float 0.07871647
monthly_income_est_census
Float 115000
total_monthly_income_est_census
Float 1955000
expense_v3_census
Float 0
houses_one_room_census
Float 0
houses_two_rooms_census
Float 0
houses_three_rooms_or_more_census
Float 0
population_c_census
Float 1
population_d_census
Float 0
health_expense_census
Float 11945.5
corporate_visits_denue
Float 0.0000397938199104442
hotels_motels_visits_denue
Float 0.003784458
for_sale_properties_pc
Integer 11
for_rent_properties_pc
Integer 2

Description

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in Mexico (Including Point of Interest (POI) Data and Foot Traffic. The dataset is divided into 150x150 sqm areas (geohash 7) and has over 50 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. - Resident population. - Food spending. - Spending on arts and recreation. It also includes data from the "ENOE" (National Occupation and Employment Survey) and the "DENUE" (National Statistical Directory of Economic Units), such as: - Percentage of married users - Average scholar grade - Percentage of locations related to agriculture/ manufacturing/ financial services/ wholesale trade of groceries and food (Among others). - Percentage of users within a specific socio-economic segment. - Population segmented by age gap (Example, users from 15 to 29 years old). 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.

Country Coverage

North America (1)
Mexico

History

1 years of historical data

Volume

1 million rows

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
quality rate

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
weekly
monthly
quarterly
yearly
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Categories

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Frequently asked questions

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican Market?

Our dataset provides detailed and precise insights into the business, commercial, and industrial aspects of any given area in Mexico (Including Point of Interest (POI) Data and Foot Traffic. The dataset is divided into 150x150 sqm areas (geohash 7) and has over 50 variables.

What is PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican 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 +200 Data Variables for the Mexican 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 +200 Data Variables for the Mexican Market go?

This product 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 +200 Data Variables for the Mexican Market cover?

This product includes data covering 1 country like Mexico. 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 +200 Data Variables for the Mexican Market cost?

Pricing information for PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican 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 +200 Data Variables for the Mexican 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 +200 Data Variables for the Mexican 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 for Travel Data.

What are similar products to PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican Market?

This product 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 Point of Interest (POI) Data API, Dataset 251M Global POI Data Coverage from 2019, and Xtract.io Polygon Data Map Data Marinas 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

Predik Data-driven

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