GapMaps Mobility Data by Azira | Global Mobility Data | Current and Historical | Privacy Compliant
# | Polygon ID |
Lat of Visit |
Long of Visit |
Unix Timestamp of Visit |
Date |
Time of Day |
Day of Week |
Time Zone |
|
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
# | Polygon Id |
Hashed Ubermedia Id |
Common Daytime Lat |
Common Daytime Long |
First Visit Timestamp |
Common Daytime Country |
Common Daytime Census |
Common Daytime Micro |
Common Daytime Municipality |
Common Daytime Admin |
Common Daytime Province |
Common Daytime Postal1 |
Common Daytime Postal2 |
Common Daytime Custom1 |
Common Daytime Custom2 |
Common Daytime Distance Mi |
Visits |
First Visit Date |
First Visit Time |
First Visit Day of Week |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
2 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
10 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
... | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
# | Polygon ID |
Lat of Visit |
Lon of Visit |
Unix Timestamp of Visit |
Date |
Time of Day |
Day of Week |
Time Zone |
|
---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
3 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
6 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
9 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
10 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
... | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon ID
|
String | MEX | |
String | MAID | ||
Lat of Visit
|
Float | 19.417872 | |
Long of Visit
|
Float | -99.140156 | |
Unix Timestamp of Visit
|
Integer | 1719768675 | |
Date
|
DateTime | 2024-06-30T00:00:00+00:00 | |
Time of Day
|
String | 17:31:15 | |
Day of Week
|
String | Sunday | |
Time Zone
|
String | Mexico/General |
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon Id
|
String | User Drawn Polygon | |
Hashed Ubermedia Id
|
String | e9ffffe2865bba2642284fd17c9cc9691fd4a78f | |
Common Daytime Lat
|
Float | 20.614625 | |
Common Daytime Long
|
Float | -100.489143 | |
First Visit Timestamp
|
Integer | 1718234009 | |
Common Daytime Country
|
String | MEX | |
Common Daytime Census
|
|||
Common Daytime Micro
|
|||
Common Daytime Municipality
|
String | Queretaro | |
Common Daytime Admin
|
|||
Common Daytime Province
|
|||
Common Daytime Postal1
|
|||
Common Daytime Postal2
|
|||
Common Daytime Custom1
|
|||
Common Daytime Custom2
|
|||
Common Daytime Distance Mi
|
Float | 887.517286 | |
Visits
|
Integer | 2 | |
First Visit Date
|
DateTime | 2024-06-12T00:00:00+00:00 | |
First Visit Time
|
String | 18:13:29 | |
First Visit Day of Week
|
String | Wed |
Attribute | Type | Example | Mapping |
---|---|---|---|
Polygon ID
|
String | User Drawn Polygon | |
String | MAID | ||
Lat of Visit
|
Float | 21.10906 | |
Lon of Visit
|
Float | -86.76355 | |
Unix Timestamp of Visit
|
Integer | 1714437314 | |
Date
|
DateTime | 2024-04-29T00:00:00+00:00 | |
Time of Day
|
String | 19:35:14 | |
Day of Week
|
String | Mon | |
Time Zone
|
String | America/Cancun |
Description
Country Coverage
History
Volume
200 | countries |
641 | million MAUs globally |
505 | billion GPS pings |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant?
GapMaps Mobility Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.
What is GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant used for?
This product has 5 key use cases. GapMaps recommends using the data for Predictive Analytics, Competitor Analysis, Retail Site Selection, Urban Planning, and Transportation Planning. Global businesses and organizations buy Location Data from GapMaps to fuel their analytics and enrichment.
Who can use GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Location Data. Get in touch with GapMaps to see what their data can do for your business and find out which integrations they provide.
How far back does the data in GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant go?
This product has 5 years of historical coverage.
Which countries does GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant cover?
This product includes data covering 154 countries like USA, Japan, India, Brazil, and Canada. GapMaps is headquartered in Australia.
How much does GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant cost?
Pricing information for GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant is available by getting in contact with GapMaps. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.
How can I get GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant?
Businesses can buy Location Data from GapMaps and get the data via S3 Bucket, SFTP, UI Export, and REST API. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .csv format.
What is the data quality of GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant?
You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.
What are similar products to GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant?
This product has 3 related products. These alternatives include GapMaps Foot Traffic Data by Azira Global Foot Traffic Data Current and Historical Privacy Compliant, Unacast Mobility Data - Global Mobile Location Data - Current & Historical, and Location Data GLOBAL HISTORICAL (2018 - Present) Mobility Data Aggregated Foot Traffic Data Reliable, Compliant, Precise Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.