PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area

#	geohash7	latitude	longitude	pedestrians	vehicles	pedestrian_visits_monday	vehicle_visits_monday	total_visits_monday	pedestrian_visits_tuesday	vehicle_visits_tuesday	total_visits_tuesday	pedestrian_visits_wednesday	vehicle_visits_wednesday	total_visits_wednesday	pedestrian_visits_thursday	vehicle_visits_thursday	total_visits_thursday	pedestrian_visits_friday	vehicle_visits_friday	total_visits_friday	pedestrian_visits_saturday	vehicle_visits_saturday	total_visits_saturday	pedestrian_visits_sunday	vehicle_visits_sunday	total_visits_sunday	pedestrian_visits_1h	vehicle_visits_1h	total_visits_1h	pedestrian_visits_2h	vehicle_visits_2h	total_visits_2h	pedestrian_visits_3h	vehicle_visits_3h	total_visits_3h	pedestrian_visits_4h	vehicle_visits_4h	total_visits_4h	pedestrian_visits_5h	vehicle_visits_5h	total_visits_5h	pedestrian_visits_6h	vehicle_visits_6h	total_visits_6h	pedestrian_visits_7h	vehicle_visits_7h	total_visits_7h	pedestrian_visits_8h	vehicle_visits_8h	total_visits_8h	pedestrian_visits_9h	vehicle_visits_9h	total_visits_9h	pedestrian_visits_10h	vehicle_visits_10h	total_visits_10h	pedestrian_visits_11h	vehicle_visits_11h	total_visits_11h	pedestrian_visits_12h	vehicle_visits_12h	total_visits_12h	pedestrian_visits_13h	vehicle_visits_13h	total_visits_13h	pedestrian_visits_14h	vehicle_visits_14h	total_visits_14h	pedestrian_visits_15h	vehicle_visits_15h	total_visits_15h	pedestrian_visits_16h	vehicle_visits_16h	total_visits_16h	pedestrian_visits_17h	vehicle_visits_17h	total_visits_17h	pedestrian_visits_18h	vehicle_visits_18h	total_visits_18h	pedestrian_visits_19h	vehicle_visits_19h	total_visits_19h	pedestrian_visits_20h	vehicle_visits_20h	total_visits_20h	pedestrian_visits_21h	vehicle_visits_21h	total_visits_21h	pedestrian_visits_22h	vehicle_visits_22h	total_visits_22h	pedestrian_visits_23h	vehicle_visits_23h	total_visits_23h	pedestrian_visits_24h	vehicle_visits_24h	total_visits_24h	working_time_visits	free_time_visits	workday_visits	weekend_visits	avg_dwell_time_basic	pings	dweller_devices	kmh_avg	kmh_min	kmh_max	vehicular_flow	confidence_avg_poig	confidence_max_poig	confidence_min_poig	confidence_sum_poig	confidence_over_075_sum_poig	g9_count_poig	places_count_poig	thrift_store_confidence	bars_coffees_restaurants_confidence	recreational_cultural_services_confidence	other_non_governmental_services_confidence	temporal_accomodation_services_confidence	health_and_social_services_confidence	small_retailers_confidence	education_services_confidence	natural_places_confidence	food_drinks_tobacco_retail_confidence	transport_mailing_storage_confidence	professional_scientific_technical_services_confidence	real_estate_services_confidence	legislation_justice_org_confidence	pet_services_confidence	agriculture_farming_hunting_confidence	utility_services_confidence	manufacturer_confidence	shopping_centers_confidence	pharmacy_confidence	financial_service_confidence	gas_oil_lubricant_retail_confidence	wholesale_retail_confidence	parking_confidence	others_confidence	avg_total_population_at_home_census	avg_visitor_income	concentration_population_male	concentration_population_female	concentration_population_under_15_years	concentration_population_15_to_24_years	concentration_population_25_to_34_years	concentration_population_35_to_44_years	concentration_population_45_to_54_years	concentration_population_55_to_64_years	concentration_population_65_to_74_years	concentration_population_over_74_years	concentration_population_white	concentration_population_black_african_american	concentration_population_american_indian_alaska_native	concentration_population_asian	concentration_population_hawaiian_islander	concentration_population_other_races	concentration_population_that_owns_children
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Volume

24.7M

rows

Data Quality

95%

quality

Avail. Formats

.bin, .json, and .xml

File

Coverage

Country

History

years

[Sample] us_southeast_framework_g7_sample_datarade.csv

Attribute	Type	Example
geohash7	String	dhqwnfz
latitude	Float	24.97639252
longitude	Float	-80.55242434
pedestrians	Integer	12247
vehicles	Integer	2952
pedestrian_visits_monday	Integer	2275
vehicle_visits_monday	Integer	51
total_visits_monday	Integer	2321
pedestrian_visits_tuesday	Integer	2121
vehicle_visits_tuesday	Integer	52
total_visits_tuesday	Integer	2165
pedestrian_visits_wednesday	Integer	2408
vehicle_visits_wednesday	Integer	74
total_visits_wednesday	Integer	2459
pedestrian_visits_thursday	Integer	2229
vehicle_visits_thursday	Integer	51
total_visits_thursday	Integer	2267
pedestrian_visits_friday	Integer	2526
vehicle_visits_friday	Integer	48
total_visits_friday	Integer	2560
pedestrian_visits_saturday	Integer	2872
vehicle_visits_saturday	Integer	86
total_visits_saturday	Integer	2954
pedestrian_visits_sunday	Integer	2466
vehicle_visits_sunday	Integer	40
total_visits_sunday	Integer	2504
pedestrian_visits_1h	Integer	91
vehicle_visits_1h	Integer	0
total_visits_1h	Integer	91
pedestrian_visits_2h	Integer	112
vehicle_visits_2h	Integer	1
total_visits_2h	Integer	113
pedestrian_visits_3h	Integer	175
vehicle_visits_3h	Integer	2
total_visits_3h	Integer	176
pedestrian_visits_4h	Integer	169
vehicle_visits_4h	Integer	3
total_visits_4h	Integer	172
pedestrian_visits_5h	Integer	354
vehicle_visits_5h	Integer	8
total_visits_5h	Integer	360
pedestrian_visits_6h	Integer	762
vehicle_visits_6h	Integer	17
total_visits_6h	Integer	772
pedestrian_visits_7h	Integer	940
vehicle_visits_7h	Integer	14
total_visits_7h	Integer	949
pedestrian_visits_8h	Integer	1028
vehicle_visits_8h	Integer	23
total_visits_8h	Integer	1043
pedestrian_visits_9h	Integer	1092
vehicle_visits_9h	Integer	25
total_visits_9h	Integer	1116
pedestrian_visits_10h	Integer	1170
vehicle_visits_10h	Integer	33
total_visits_10h	Integer	1200
pedestrian_visits_11h	Integer	1117
vehicle_visits_11h	Integer	23
total_visits_11h	Integer	1139
pedestrian_visits_12h	Integer	1149
vehicle_visits_12h	Integer	22
total_visits_12h	Integer	1171
pedestrian_visits_13h	Integer	1159
vehicle_visits_13h	Integer	43
total_visits_13h	Integer	1198
pedestrian_visits_14h	Integer	1167
vehicle_visits_14h	Integer	54
total_visits_14h	Integer	1219
pedestrian_visits_15h	Integer	1205
vehicle_visits_15h	Integer	54
total_visits_15h	Integer	1259
pedestrian_visits_16h	Integer	1215
vehicle_visits_16h	Integer	32
total_visits_16h	Integer	1246
pedestrian_visits_17h	Integer	934
vehicle_visits_17h	Integer	22
total_visits_17h	Integer	955
pedestrian_visits_18h	Integer	1063
vehicle_visits_18h	Integer	10
total_visits_18h	Integer	1073
pedestrian_visits_19h	Integer	533
vehicle_visits_19h	Integer	1
total_visits_19h	Integer	534
pedestrian_visits_20h	Integer	606
vehicle_visits_20h	Integer	9
total_visits_20h	Integer	615
pedestrian_visits_21h	Integer	483
vehicle_visits_21h	Integer	3
total_visits_21h	Integer	486
pedestrian_visits_22h	Integer	304
vehicle_visits_22h	Integer	1
total_visits_22h	Integer	304
pedestrian_visits_23h	Integer	169
vehicle_visits_23h	Integer	2
total_visits_23h	Integer	171
pedestrian_visits_24h	Integer	137
vehicle_visits_24h	Integer	0
total_visits_24h	Integer	137
working_time_visits	Integer	14529
free_time_visits	Integer	5431
workday_visits	Integer	13623
weekend_visits	Integer	6289
avg_dwell_time_basic	Float	512.2242
pings	Integer	62947
dweller_devices	Integer	1966
kmh_avg	Float	43.91252834
kmh_min	Float	15.01882674
kmh_max	Float	118.1
vehicular_flow	Float	127873.2825
confidence_avg_poig	Float	0.878615719
confidence_max_poig	Float	0.903030097
confidence_min_poig	Float	0.854201341
confidence_sum_poig	Float	1.757231438
confidence_over_075_sum_poig	Float	1.757231438
g9_count_poig	Integer	2
places_count_poig	Integer	2
thrift_store_confidence	Float	0
bars_coffees_restaurants_confidence	Float	0.854201341
recreational_cultural_services_confidence	Float	0.903030097
other_non_governmental_services_confidence	Float	0.49154684
temporal_accomodation_services_confidence	Float	0
health_and_social_services_confidence	Float	0
small_retailers_confidence	Float	0.754201341
education_services_confidence	Float	0.854201341
natural_places_confidence	Float	0.0
food_drinks_tobacco_retail_confidence	Float	0.854201341
transport_mailing_storage_confidence	Float	0.903030097
professional_scientific_technical_services_confidence	Float	0.0
real_estate_services_confidence	Float	0.974655469
legislation_justice_org_confidence	Float	0.854201341
pet_services_confidence	Float	0.0
agriculture_farming_hunting_confidence	Float	0.0
utility_services_confidence	Float	0.0
manufacturer_confidence	Float	0.903030097
shopping_centers_confidence	Float	0.0
pharmacy_confidence	Float	0.0
financial_service_confidence	Float	0.0
gas_oil_lubricant_retail_confidence	Float	0.903030097
wholesale_retail_confidence	Float	0.0
parking_confidence	Float	0.0
others_confidence	Float	0.854201341
avg_total_population_at_home_census	Float	1674.243996
avg_visitor_income	Float	75105.01918
concentration_population_male	Float	0.50845316
concentration_population_female	Float	0.49154684
concentration_population_under_15_years	Float	0.140633969
concentration_population_15_to_24_years	Float	0.102104427
concentration_population_25_to_34_years	Float	0.106271641
concentration_population_35_to_44_years	Float	0.110394849
concentration_population_45_to_54_years	Float	0.143537534
concentration_population_55_to_64_years	Float	0.170630527
concentration_population_65_to_74_years	Float	0.13424851
concentration_population_over_74_years	Float	0.092178544
concentration_population_white	Float	0.819667792
concentration_population_black_african_american	Float	0.072890431
concentration_population_american_indian_alaska_native	Float	0.00258788
concentration_population_asian	Float	0.015495559
concentration_population_hawaiian_islander	Float	0.000943956
concentration_population_other_races	Float	0.025838112
concentration_population_that_owns_children	Float	0.26477238

Our Aggregated Aggregated Foot Data & Visit Data brings you valuable insights into US South Eastern visiting foot traffic and vehicles patterns, trade area insights and pedestrian insights (Like gender, age, race, parenthood and average income).

Our Aggregated Foot Data and Visit Data for the US South Eastern Cities uses advanced Geohash-7 to analyze visitation patterns (by day and hours), the number and type of specific businesses in a particular area (ex., number of small retailers), and users insights within that area (Ex. percentage of population that have children). How to use this dataset? Our clients use this dataset to enrich their ML models and analyze foot traffic patterns, real estate investing and planning, infrastructure development, site selection, user behavior analysis, marketing OHH strategies, POV analysis, among others. What does this dataset include? With this aggregated dataset with 80+ fields, you'll be able to explore: - Pedestrian traffic per day and hour - Vehicle traffic per day and hour - Type and number of places like bars, restaurants, thrift stores, educational services, small retailers, manufacturing places, pharmacies, and more. Also, our data analysis brings you pedestrian's insights like: - Percentage of male and female population - Percentage of population by age - Percentage of population by ethnicity - Percentage of the population that has children US states covered by this dataset: - Florida - Alabama - Georgia - Louisiana - Tennessee - Mississippi Historical coverage: One year (2023). Our aggregated aggregated foot traffic data is collected by request of quantity, coverage, and period. Why should you trust PREDIK Data-Driven? In 2023, we were listed as Datarade's top providers. Why? Our solutions, based on aggregated visit data, mobility data, and foot traffic data, are designed to adapt and cater to a company's specific needs. The PREDIK methodology is client-centric, focusing on the necessary elements for the success of their projects.

North America (1)

United States of America

1 years of historical data

24.7 million

rows

Free sample available

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

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Self-reported by the provider

95%

quality

Methods

Frequency

Format

Foot Traffic Analytics

Foot Traffic Measurement

Site Visitation Real Estate Insights

Foot Traffic Analysis

Foot Traffic Data Mobile Location Data Mobility Data Visit Data Aggregated Foot Traffic Data

traffic data united states of america

55.2M rows

85% quality

United Kingdom covered

Our Aggregated Aggregated Foot Data & Moility Data brings you valuable insights into UK's pedestrian movement accross different areas, visiting patterns, mob...

50 mm MAU

Brazil covered

12 months of historical data

Need accurate mobile location data for your projects in Brazil? Discover high-precision, GDPR-compliant mobility data with 3 decimal degrees of accuracy and ...

93% R-squared correlation to truth

USA covered

5 years of historical data

Unacast Aggregated Foot Traffic Data helps you understand activity and visits to specific sites or areas across the U.S. Get up to 5 years of historical data...

6 years of historical data

85% 0.85 corr. with Walmart sales data

249 countries covered

• World's largest commercial source of mobile location data • 1bn+ pings per month • H3 Hex12 (19m) resolution • Daily statistics • Valued by 600+ customers ...

What is PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?

What is PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Foot Traffic Analytics, Foot Traffic Measurement, Site Visitation, Real Estate Insights, and Foot Traffic Analysis. Global businesses and organizations buy Foot Traffic Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Foot Traffic 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 US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area go?

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

Which countries does PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area cover?

This product includes data covering 1 country like USA. Predik Data-driven is headquartered in United States of America.

How much does PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area cost?

Pricing information for PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area 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 US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?

Businesses can buy Foot Traffic 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 US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?

Predik Data-driven has reported that this product has the following quality and accuracy assurances: 95% quality. 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 US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?

This Tabular Data has 3 related products. These alternatives include PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom, Intuizi’s Mobile Location Data for Brazil 6.6+mm Unique Daily Devices GDPR Compliant Aggregated Footfall Data, and Unacast Aggregated Foot Traffic Data for U.S. Locations. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area

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PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area

Data Dictionary

Description

Country Coverage

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