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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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
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 |
Description
Country Coverage
History
Volume
24.7 million | rows |
Pricing
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Frequently asked questions
What is PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area?
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).
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 product 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 product 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, Echo Analytics Customer Journey US Footfall Data GDPR-Compliant, and Footfall Data Foot traffic Data Mobile Location Data Visit Data for Finance, Retail & Real estate Global 600+ Customers GDPR compliant. 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.