ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states

#	device_id	origin_geoid	destination_geoid	origin_lat	origin_long	destination_lat	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
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	Xxxxxxxxx
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Request Data Sample

Volume

171M

India MAU

Avail. Formats

.csv and .json

File

Coverage

Countries

History

years

Product Attributes

Attribute	Type	Example	Mapping
device_id
origin_geoid
destination_geoid
origin_lat
origin_long
destination_lat	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

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.

The datasets are split by census block, cities, counties, districts, provinces, and states. The typical dataset includes the below fields. Column numbers, Data attribute, Description 1, device_id, hashed anonymized unique id per moving device 2, origin_geoid, geohash id of the origin grid cell 3, destination_geoid, geohash id of the destination grid cell 4, origin_lat, origin latitude with 4-to-5 decimal precision 5, origin_long, origin longitude with 4-to-5 decimal precision 6, destination_lat, destination latitude with 5-to-6 decimal precision 7, destination_lon, destination longitude with 5-to-6 decimal precision 8, start_timestamp, start timestamp / local time 9, end_timestamp, end timestamp / local time 10, origin_shape_zone, customer provided origin shape id, zone or census block id 11, destination_shape_zone, customer provided destination shape id, zone or census block id 12, trip_distance, inferred distance traveled in meters, as the crow flies 13, trip_duration, inferred duration of the trip in seconds 14, trip_speed, inferred speed of the trip in meters per second 15, hour_of_day, hour of day of trip start (0-23) 16, time_period, time period of trip start (morning, afternoon, evening, night) 17, day_of_week, day of week of trip start(mon, tue, wed, thu, fri, sat, sun) 18, year, year of trip start 19, iso_week, iso week of the trip 20, iso_week_start_date, start date of the iso week 21, iso_week_end_date, end date of the iso week 22, travel_mode, mode of travel (walking, driving, bicycling, etc) 23, trip_event, trip or segment events (start, route, end, start-end) 24, trip_id, trip identifier (unique for each batch of results) 25, origin_city_block_id, census block id for the trip origin point 26, destination_city_block_id, census block id for the trip destination point 27, origin_city_block_name, census block name for the trip origin point 28, destination_city_block_name, census block name for the trip destination point 29, trip_scaled_ratio, ratio used to scale up each trip, for example, a trip_scaled_ratio value of 10 means that 1 original trip was scaled up to 10 trips 30, route_geojson, geojson line representing trip route trajectory or geometry The datasets can be processed and enhanced to also include places, POI visitation patterns, hour-of-day patterns, weekday patterns, weekend patterns, dwell time inferences, and macro movement trends. The dataset is delivered as gzipped CSV archive files that are uploaded to your AWS s3 bucket upon request.

Asia (48)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

4 years of historical data

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

Free sample available

7% discount if you buy via Datarade

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Request detailed pricing

Methods

Frequency

Format

Urban Mobility Analysis

Economic Analysis

Urban Planning

Movement Analytics

Transportation Planning

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73 countries covered

4 years of historical data

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What is ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states?

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 Tabular Data 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 Tabular Data has 3 related products. These alternatives include MENA: Daily mobility data for cities, metro areas, districts, provinces, and states, Factori Mobility Data Global Foot traffic data (1 year history), and Trade Areas – analyze where consumers travel from to visit places of interest across the world. You can compare the best Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Available

Verified Provider

ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

CITYDATA.ai
Mobility Big Data + Ai

Trusted by

ASIA: Daily mobility data for cities, metro areas, districts, provinces, and states

Data Dictionary

Description

Geography

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Products

Frequently asked questions

CITYDATA.ai Mobility Big Data + Ai

Trusted by

CITYDATA.ai
Mobility Big Data + Ai