Unacast Demographic Data for U.S. Mobile Devices
| # | observation_start_date |
observation_end_date |
people_fraction_age_18_29 |
people_fraction_age_30_39 |
people_fraction_age_40_49 |
people_fraction_age_50_59 |
people_fraction_age_60_69 |
people_fraction_age_70_79 |
people_fraction_age_80_and_above |
people_fraction_education_high_school |
people_fraction_education_college_without_degree |
people_fraction_education_associate |
people_fraction_education_bachelor |
people_fraction_education_master_and_above |
people_fraction_gender_female |
people_fraction_gender_male |
people_fraction_income_25k_and_less |
people_fraction_income_25k_50k |
people_fraction_income_50k_75k |
people_fraction_income_75k_100k |
people_fraction_income_100k_125k |
people_fraction_income_125k_and_above |
people_fraction_race_amerindian |
people_fraction_race_asian |
people_fraction_race_black |
people_fraction_race_white |
people_fraction_race_other |
people_fraction_race_two_or_more |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | string | Location ID | |
|
observation_start_date
|
String | string (yyyy-mm-dd) | |
|
observation_end_date
|
String | string (yyyy-mm-dd) | |
|
people_fraction_age_18_29
|
Float | float | |
|
people_fraction_age_30_39
|
Float | float | |
|
people_fraction_age_40_49
|
Float | float | |
|
people_fraction_age_50_59
|
Float | float | |
|
people_fraction_age_60_69
|
Float | float | |
|
people_fraction_age_70_79
|
Float | float | |
|
people_fraction_age_80_and_above
|
Float | float | |
|
people_fraction_education_high_school
|
Float | float | |
|
people_fraction_education_college_without_degree
|
Float | float | |
|
people_fraction_education_associate
|
Float | float | |
|
people_fraction_education_bachelor
|
Float | float | |
|
people_fraction_education_master_and_above
|
Float | float | |
|
people_fraction_gender_female
|
Float | float | |
|
people_fraction_gender_male
|
Float | float | |
|
people_fraction_income_25k_and_less
|
Float | float | |
|
people_fraction_income_25k_50k
|
Float | float | |
|
people_fraction_income_50k_75k
|
Float | float | |
|
people_fraction_income_75k_100k
|
Float | float | |
|
people_fraction_income_100k_125k
|
Float | float | |
|
people_fraction_income_125k_and_above
|
Float | float | |
|
people_fraction_race_amerindian
|
Float | float | |
|
people_fraction_race_asian
|
Float | float | |
|
people_fraction_race_black
|
Float | float | |
|
people_fraction_race_white
|
Float | float | |
|
people_fraction_race_other
|
Float | float | |
|
people_fraction_race_two_or_more
|
Float | float |
Description
Country Coverage
History
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Unacast Demographic Data for U.S. Mobile Devices?
Unacast demographic data identifies the demographic breakdown of visitors to a specific area or point of interest. Get 5 years of historical data powered by location data and machine learning.
What is Unacast Demographic Data for U.S. Mobile Devices used for?
This product has 5 key use cases. Gravy Analytics by Unacast recommends using the data for Advertising, Business Intelligence (BI), Benchmarking, Retail Site Selection, and Market Analysis. Global businesses and organizations buy Demographic Data from Gravy Analytics by Unacast to fuel their analytics and enrichment.
Who can use Unacast Demographic Data for U.S. Mobile Devices?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Demographic Data. Get in touch with Gravy Analytics by Unacast to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Unacast Demographic Data for U.S. Mobile Devices go?
This product has 5 years of historical coverage. It can be delivered on a quarterly basis.
Which countries does Unacast Demographic Data for U.S. Mobile Devices cover?
This product includes data covering 1 country like USA. Gravy Analytics by Unacast is headquartered in United States of America.
How much does Unacast Demographic Data for U.S. Mobile Devices cost?
Pricing information for Unacast Demographic Data for U.S. Mobile Devices is available by getting in contact with Gravy Analytics by Unacast. Connect with Gravy Analytics by Unacast to get a quote and arrange custom pricing models based on your data requirements.
How can I get Unacast Demographic Data for U.S. Mobile Devices?
Businesses can buy Demographic Data from Gravy Analytics by Unacast and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Gravy Analytics by Unacast can deliver this product in .csv format.
What is the data quality of Unacast Demographic Data for U.S. Mobile Devices?
Gravy Analytics by Unacast has reported that this product has the following quality and accuracy assurances: 93% R-squared correlation to truth. You can compare and assess the data quality of Gravy Analytics by Unacast using Datarade’s data marketplace. Gravy Analytics by Unacast has received 1 review from clients. Gravy Analytics by Unacast appears on selected Datarade top lists ranking the best data providers, including Top 10 Travel Intent Data Providers and Platforms and Best Data Providers For Location-Based Marketing.
What are similar products to Unacast Demographic Data for U.S. Mobile Devices?
This product has 3 related products. These alternatives include Unacast Foot Traffic Data for U.S. Locations, Real-Time Foot Traffic Data Aggregated Foot Traffic Data Location & Mobility Data Global 600+ Customers, and Intuizi’s Mobile Location Data for Brazil 6.6+mm Unique Daily Devices GDPR Compliant Aggregated Footfall Data. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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