ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states
# | device_id |
origin_geoid |
destination_geoid |
origin_lat |
origin_long |
destination_lon |
start_timestamp |
end_timestamp |
origin_shape_zone |
destination_shape_zone |
trip_distance |
trip_duration |
trip_speed |
hour_of_day |
time_period |
day_of_week |
year |
iso_week |
iso_week_start_date |
iso_week_end_date |
travel_mode |
trip_event |
trip_id |
origin_city_block_id |
destination_city_block_id |
origin_city_block_name |
destination_city_block_name |
trip_scaled_ratio |
route_geojson |
|
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3 | 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 | xxxxxx | Xxxxxxxxx | xxxxx |
4 | 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 | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
5 | 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 | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
6 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | 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 |
8 | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
9 | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
10 | 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 | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
device_id
|
|||
origin_geoid
|
|||
destination_geoid
|
|||
origin_lat
|
|||
origin_long
|
|||
String | IP Address | ||
destination_lon
|
|||
start_timestamp
|
|||
end_timestamp
|
|||
origin_shape_zone
|
|||
destination_shape_zone
|
|||
trip_distance
|
|||
trip_duration
|
|||
trip_speed
|
|||
hour_of_day
|
|||
time_period
|
|||
day_of_week
|
|||
year
|
|||
iso_week
|
|||
iso_week_start_date
|
|||
iso_week_end_date
|
|||
travel_mode
|
|||
trip_event
|
|||
trip_id
|
|||
origin_city_block_id
|
|||
destination_city_block_id
|
|||
origin_city_block_name
|
|||
destination_city_block_name
|
|||
trip_scaled_ratio
|
|||
route_geojson
|
Description
Country Coverage
History
Volume
2.76 million | Singapore MAU |
11.4 million | Malaysia MAU |
11 million | Thailand MAU |
1.94 million | Taiwan MAU |
9.01 million | Japan MAU |
5.87 million | Bangladesh MAU |
171 million | India MAU |
67.3 million | Indonesia MAU |
9.55 million | Vietnam MAU |
8.32 million | Philippines MAU |
14.7 million | South Korea MAU |
540,000 | Sri Lanka MAU |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?
CITYDATA provides fresh, accurate, anonymized, privacy-compliant movement data for all countries across ASIA. Our datasets include trips, routes, origin-destination matrices, transport modes, economic inferences, transit inferences, breakdown by road segments or corridors, and time series trends.
What is ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states used for?
This product has 5 key use cases. CITYDATA.ai recommends using the data for Urban Mobility Analysis, Economic Analysis, Urban Planning, Movement Analytics, and Transportation Planning. Global businesses and organizations buy Traffic Data from CITYDATA.ai to fuel their analytics and enrichment.
Who can use ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?
This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for Traffic Data. Get in touch with CITYDATA.ai to see what their data can do for your business and find out which integrations they provide.
How far back does the data in ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states go?
This product has 4 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states cover?
This product includes data covering 48 countries like Japan, India, South Korea, Indonesia, and Turkey. CITYDATA.ai is headquartered in United States of America.
How much does ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states cost?
Pricing information for ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states is available by getting in contact with CITYDATA.ai. Connect with CITYDATA.ai to get a quote and arrange custom pricing models based on your data requirements.
How can I get ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?
Businesses can buy Traffic Data from CITYDATA.ai and get the data via S3 Bucket and Feed API. Depending on your data requirements and subscription budget, CITYDATA.ai can deliver this product in .csv and .json format.
What is the data quality of ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?
You can compare and assess the data quality of CITYDATA.ai using Datarade’s data marketplace. CITYDATA.ai appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.
What are similar products to ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?
This product has 3 related products. These alternatives include GapMaps Mobility Data by Azira Global Mobility Data Current and Historical Privacy Compliant, PREDIK Data-Driven I UK Car Traffic Data I Get insights into information related to the movement and behavior of vehicles in United Kingdom, and MENA: Daily mobility data for cities, metro areas, districts, provinces, and states. You can compare the best Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.