This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL).

In 2020, Brunei had the highest vehicle to population ratio among Southeast Asian countries, with around 997.8 vehicles per 1,000 population. In contrast, there were approximately 27.9 vehicles per 1,000 population in Cambodia that year.

Main motor vehicles markets in Southeast Asia

Indonesia leads the motor vehicle sales in Southeast Asia with more than one million vehicles sold in a year, closely followed by Thailand. However, in terms of production the opposite is true. Thailand leads the motor vehicle production in the region with under two million vehicles. And Indonesia follows with almost one and a half million vehicles produced in a year. In 2022, Southeast Asian countries were characterized by significant growth in annual motor vehicle sales, led by Malaysia, Vietnam, and the Philippines, with over 30 percent increase each.

What purchase aspects do Southeast Asian vehicle buyers value?

Almost half of the consumers in Southeast Asia believe that striking a good deal is an important aspect of the vehicle purchasing experience. When it comes to choosing a car brand, consumers in Southeast Asia appreciate quality, with 71 percent of the consumers treasuring product quality as an important factor driving brand choice. Nevertheless, a shift towards more sustainable preferences is present among the consumers in the region. Even though there are many concerns regarding battery electric vehicles in the region, consumers think that there are several reasons to switch to electric cars as the number of charging stations increases and EV performance equals or surpasses that of combustible-engine or hybrid cars.

This shows the number of vehicles that were registered by Washington State Department of Licensing (DOL) each month. The data is separated by county for passenger vehicles and trucks. DOL integrates National Highway Traffic Safety Administration (NHTSA) data and the Environmental Protection Agency (EPA) fuel efficiency ratings with DOL titling and registration data to create this information.

The data set contains registered vehicle population count by various criteria such as vehicle class, vehicle status, vechicle make, vehicle model, vehicle year, plate class, plate declaration, county, weight related class and other vehicle decriptors.

In 2023, petrol cars still largely dominated the car population in Singapore, with a total of 540,605 vehicles. This proportion tends to slightly decrease over the period but remains the most used car type. Singapore aims to phase out internal combustion engine (ICE) vehicles and have all vehicles run on cleaner energy by 2040.

As of the end of 2023, there was a total of approximately 996 thousand motor vehicles in Singapore. In comparison, there were approximately 972 thousand motor vehicles in Singapore in 2014. The lowest level was reached in 2016, with about 956 thousand vehicles registered in the country. Singapore’s car population In 2023, Singapore recorded a large proportion of cars and station wagons in its vehicle population, with around 651 thousand of these vehicles on the road, the vast majority of which were for private use. Indeed, during this period, the country recorded around 524 thousand private cars, a slight increase from the previous year. The most common type of car among Singaporeans ranged from 1,001 cc to 1,600 cc. Sustainability of Singapore's vehicle fleet In 2023, there were only about five thousand cars over twenty years old on Singapore's roads. Over the same year, around 30 thousand cars were less than a year old, indicating a relatively young fleet. The Certificate of Eligibility (COE) system, introduced in May 1990, has played a key role in regulating the car fleet. Despite this, gasoline-powered cars still account for the largest share of cars in the city-state, with a total of about 559 thousand vehicles. Although this proportion has fallen slightly over time, petrol-powered cars remain the most popular choice. Looking ahead, Singapore remains committed to phasing out internal combustion engine (ICE) vehicles and aims to switch to cleaner energy sources for all vehicles by 2040.

Azerbaijan Number of Motor Vehicles: Passenger Cars per 1000 Population data was reported at 119.000 Unit in 2018. This records an increase from the previous number of 118.000 Unit for 2017. Azerbaijan Number of Motor Vehicles: Passenger Cars per 1000 Population data is updated yearly, averaging 118.000 Unit from Dec 2014 (Median) to 2018, with 5 observations. The data reached an all-time high of 119.000 Unit in 2018 and a record low of 117.000 Unit in 2014. Azerbaijan Number of Motor Vehicles: Passenger Cars per 1000 Population data remains active status in CEIC and is reported by The State Statistical Committee of the Republic of Azerbaijan. The data is categorized under Global Database’s Azerbaijan – Table AZ.TA003: Number of Motor Vehicles.

This table contains figures on traffic performance (vehicle-kilometres) of passenger cars, delivery vans, lorries, semi-trailers, special purpose vehicles and buses. Vehicle-kilometres of Dutch vehicles have been broken down by Dutch vehicles on Dutch territory and Dutch vehicles on foreign territory.

In addition, there are figures on the total distance covered on Dutch territory. A distinction is made between kilometres covered by Dutch vehicles and kilometres by foreign vehicles.

The vehicle population used to estimate the kilometres is based on the vehicle fleet statistics. The population of the figures in this table is based on the new selection method of the vehicle fleet. The difference between the old and the new selection method is described in a methodological report, see paragraph 4. The data series of vehicle kilometres estimated for the new population is available starting from 2018. The data series based on the old population ends with 2020. The way in which the vehicle kilometres are estimated has not changed, only the population.

For the 2020 data a correction factor was implemented to correct for the ‘smoothing effect’ caused by the method. The smoothing effect smoothes out yearly variation in the data and this results in a distorted picture of periods of time when mobility patterns suddenly change drastically, like happened in 2020 due to COVID-19.

Data available from:2018

Status of the figures: The figures in this table up to and including 2021 are definitive. Figures over 2022 and 2023 have a provisional status.

Changes as of 21 October 2024: Figures of 2023 have been added.

When will new figures be published? New figures are expected to be released by end of 2025.

Some 283.4 million vehicles were registered in the United States in 2022. The figures include passenger cars, motorcycles, trucks, buses, and other vehicles. The number of light trucks sold in the U.S. stood at 10.9 million units in 2022. U.S. vehicle registrations The United States is one of the world’s largest automobile markets based on the number of new light vehicle registrations, with more than 13.8 million new light vehicle registrations in 2021. However, domestic production of automobiles fell to around 1.6 million units in 2021 and has struggled to increase in 2022. At the same time, the United States imports a significant number of vehicles from various countries, such as Japan, Mexico, and Canada. Leading car manufacturers in the United States The leading car manufacturers overall in the United States include the domestic heavyweights General Motors and Ford. With respect to car brands, the Ford brand clocked in at number one in 2022, selling around 1.8 million vehicles in the United States alone. The brand's holding company is the Ford Motor Company; it was founded by Henry Ford in 1903 in Dearborn, Michigan. The company pioneered in large-scale car manufacturing and introduced production methods such as the assembly line.

As of 2023, there was a total of approximately 524 thousand private cars in Singapore, slightly decreasing from the previous year. In comparison, there were about 502 thousand private cars in Singapore in 2017.

Background

Battery electric vehicles (BEVs) are crucial for a sustainable transportation system. As more people adopt BEVs, it becomes increasingly important to accurately assess the demand for charging infrastructure. However, much of the current research on charging infrastructure relies on outdated assumptions, such as the assumption that all BEV owners have access to home chargers and the "Liquid-fuel" mental model. To address this issue, we simulate the travel and charging demand on three charging behavior archetypes. We use a large synthetic population of Sweden, including detailed individual characteristics, such as dwelling types (detached house vs. apartment) and activity plans (for an average weekday). This data repository aims to provide the BEV simulation's input, assumptions, and output so that other studies can use them to study sizing and location design of charging infrastructure, grid impact, etc.

A journal paper published in Transportation Research Part D: Transport and Environment details the method to create the data (particularly Section 2.2 BEV simulation).

https://doi.org/10.1016/j.trd.2023.103645

Methodology

This data product is centered on the 1.7 million inhabitants of the Västra Götaland (VG) region, which includes the second largest city in Sweden, Gothenburg. We specifically simulated 284,000 car agents who live in VG, representing 35% of all car users and 18% of the total population in the region. They spend their simulation day (representing an average weekday) in a variety of locations throughout Sweden.

This open data repository contains the core model inputs and outputs. The numbers in parentheses correspond to the data sets. We use individual agents' activity plans (1) and travel trajectories from MATSim simulation for the BEV simulation (2), in which we consider overnight charger access (3), car fleet composition referencing the current private car fleet in Sweden (4), and Swedish road network with slope information (5) with realistic BEV charging & discharging dynamics. For the BEV simulation, we tested ten scenarios of charging behavior archetypes and fast charging powers (6). The output includes the time history of travel trajectories and charging of the simulated BEVs across the different scenarios (7).

Data description

The current data product covers seven data files.

(1) Agents' experienced activity plans

File name: 1_activity_plans.csv

Column	Description	Data type	Unit
person	Agent ID	Integer	-
act_id	Activity index of each agent	Integer	-
deso	Zone code of Demographic statistical areas (DeSO)1	String	-
POINT_X	Coordinate X of activity location (SWEREF99TM)	Float	meter
POINT_Y	Coordinate Y of activity location (SWEREF99TM)	Float	meter
act_purpose	Activity purpose (work, home, other)	String	-
mode	Transport mode to reach the activity location (car)	String	-
dep_time	Departure time in decimal hour (0-23.99)	Float	hour
trav_time	Travel time to reach the activity location	String	hour:minute:second
trav_time_min	Travel time in decimal minute	Float	minute
speed	Travel speed to reach the activity location	Float	km/h
distance	Travel distance between the origin and the destination	Float	km
act_start	Start time of activity in minute (0-1439)	Integer	minute
act_time	Activity duration in decimal minute	Float	minute
act_end	End time of activity in decimal hour (0-23.99)	Float	hour
score	Utility score of the simulation day given by MATSim	Float	-

1 https://www.scb.se/vara-tjanster/oppna-data/oppna-geodata/deso--demografiska-statistikomraden/

(2) Travel trajectories

File name: 2_input_zip

Produced by MATSim simulation, the zip folder contains ten files (events_batch_X.csv.gz, X=1, 2, …, 10) of input events for the BEV simulation. They are the moving trajectories of the car agents in their simulation days.

Column	Description	Data type	Unit
time	Time in second in a simulation day (0-86399)	Integer	Second
type	Event type defined by MATSim simulation2	String	-
person	Agent ID	Integer	-
link	Nearest road link consistent with (5)	String	-
vehicle	Vehicle ID identical to person	Integer	-

² One typical episode of MATSim simulation events: Activity ends (actend) -> Agent’s vehicle enters traffic (vehicle enters traffic) -> Agent’s vehicle moves from previous road segment to its next connected one (left link) -> Agent’s vehicle leaves traffic for activity (vehicle leaves traffic) -> Activity starts (actstart)

(3) Overnight charger access

File name: 3_home_charger_access.csv

Column	Description	Data type	Unit
person	Agent ID	Integer	-
home_charger	Whether an agent has access to a home garage charger/living in a detached house (0=no, 1=yes)	Integer	-

(4) Car fleet composition

File name: 4_car_fleet.csv

Column	Description	Data type	Unit
person	Agent ID	Integer	-
income_class	Income group (0=None, 1=below 180K, 2=180K-300K, 3=300K-420K, 4=above 420K)	Integer	-
car	Car model class (B=40 kWh, C=60 kWh, D=100 kWh)	String	-

(5) Road network with slope information

File name: 5_road_network_with_slope.shp (5 files in total)

Column	Description	Data type	Unit
length	The length of road

China is the largest automobile market worldwide, both in terms of demand and supply. China's automobile registrations climbed to approximately 25.8 million units in 2023, representing a rise of around 11 percent.

The world's largest automobile markets

After years of growth, China's motor vehicle demand began waning in 2019 and nosedived in February 2020 amid the outbreak of the coronavirus pandemic; and yet, given the country's population level, the potential for China’s automobile market is enormous. China's motorization rate indicates that there is less than one car for every five individuals. In the United States, there are in excess of 800 motor vehicles per 1,000 inhabitants. Leading brands and manufacturers
In June 2023, Tesla was ranked as the automobile brand with the highest brand value, followed by Toyota. Toyota vehicles are manufactured by the Toyota Motor Corporation. In terms of overall vehicle sales, the Japanese multinational carmaker is the largest automobile manufacturer in the world. India has emerged as an important automotive market recently and climbed into the ranking of the leading automobile markets worldwide.

This table contains figures on traffic performance (vehicle kilometres) and average annual kilometers traveled by passenger cars, broken down by age of the vehicle, ownership situation and fuel type. Vehicle kilometers and the average annual kilometers of Dutch passenger cars are broken down into Dutch vehicles on Dutch territory and Dutch vehicles on foreign territory. In addition, there are figures for the total distance traveled on Dutch territory. A distinction is made between kilometers traveled by Dutch and foreign vehicles. The vehicle population for which mileage is estimated is based on motor vehicle fleet statistics. The population of the figures in this table is based on the old motor vehicle fleet selection method. The difference between the old and the new selection method is described in a method report, see point 4. The series of kilometers estimated on the basis of the old vehicle population runs up to and including reporting year 2020. The series based on the new population is available from of the 2018 reporting year. The way in which the kilometers are estimated has not changed, only the population. The figures for the 2020 reporting year have been corrected for the smoothing effect of the method by means of a correction factor. This smoothing effect smoothes out the annual variation in the figures. This gives a distorted picture of periods in which mobility suddenly changes radically, such as in 2020 as a result of the corona crisis. Data available from: 1990 up to and including 2020 Status of the figures: The figures up to and including 2019 are final and the figures for 2020 have a provisional status. Changes as of November 10, 2022: None, this table has been discontinued. This table is followed by the passenger car traffic performance table; kilometres, fuel type, territory, see section 3. When will new figures be published? Not applicable anymore.

Sales of used light vehicles in the United States came to around 38.9 million units in the third quarter of 2024. The same period, approximately 15.6 million new light trucks and automobiles were sold here. Declining availability of vehicles In the fourth quarter of 2023, about 288.5 million vehicles were in operation in the United States, an increase of under one percent year-over-year. The rising demand for vehicles paired with an overall price inflation lead to a rise in new vehicle prices. In contrast, used vehicle prices slightly decreased. E-commerce: a solution for the bumpy road ahead? Financial reports have revealed how the outbreak of the coronavirus pandemic has triggered a shift in vehicle-buying behavior. With many consumer goods and services now bought online due to COVID-19, the automobile industry has also started to digitally integrate its services online to reach consumers with a preference for contactless test driving amid the global crisis. Several dealers and automobile companies had already begun to tap into online car sales before the pandemic, some of them being Carvana and Tesla.

European countries tended to have the highest ratio of electric cars per 1,000 inhabitants as of 2020, with Norway leading the ranking at around 81. Norway dwarfed all other countries, including Iceland and other small markets. By contrast, large countries such as the United States and China had a ratio of 5.2 and three, respectively. The electric vehicle market The European Union aims to decrease its carbon emissions by 55 percent by 2030 to reach climate neutrality by 2050. With the push for decarbonization by national governments, automakers are expected to be penalized if they fail to meet the limits that are being set out. Electric passenger cars are projected to represent more than 80 percent of car sales worldwide in 2050. In 2019, around 1.68 million battery-electric cars were sold worldwide. worldwide. One of the barriers to the sale of electric cars, however, remains limited accessibility to charging infrastructure. As of 2020, China recorded the largest amount of fast charging points, dwarfing all other countries. Leading manufacturers In 2020, Tesla was the leading electric vehicle automaker, recording sales of just under 500,000 plug-in electric vehicles, the majority of which were Model 3 units. Strong demand for Model 3 cars helped the company record over 31.5 billion U.S. dollars in revenue that same year. Tesla also offers the vehicle with the longest range as of 2021, the Tesla Model S Long Range, which offers 412 miles of autonomy. Its main competitor Ford’s Mustang Mach-E, recorded a maximum range of 379 miles.

Key information about Indonesia Number of Registered Vehicles

• Indonesia Number of Registered Vehicles was reported at 27,015,901 Unit in Dec 2024.
• This records an increase from the previous number of 26,070,526 Unit for Dec 2023.
• Indonesia Number of Registered Vehicles data is updated yearly, averaging 3,611,709 Unit from Dec 1963 to 2024, with 62 observations.
• The data reached an all-time high of 27,015,901 Unit in 2024 and a record low of 243,599 Unit in 1963.
• Indonesia Number of Registered Vehicles data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: No of Registered Vehicles: Annual.

CEIC calculates annual No of Registered Vehicles by subtracting No of Motorcycles from Total No of Motor Vehicles. Statistics Indonesia provides Total No of Motor Vehicles and No of Motorcycles.

Singapore Motor Vehicle Population: Passenger Car: 1600cc & Below data was reported at 315,863.000 Unit in Oct 2018. This records a decrease from the previous number of 316,501.000 Unit for Sep 2018. Singapore Motor Vehicle Population: Passenger Car: 1600cc & Below data is updated monthly, averaging 321,700.000 Unit from Jan 2005 (Median) to Oct 2018, with 166 observations. The data reached an all-time high of 342,088.000 Unit in Jan 2013 and a record low of 260,026.000 Unit in Feb 2005. Singapore Motor Vehicle Population: Passenger Car: 1600cc & Below data remains active status in CEIC and is reported by Land Transport Authority. The data is categorized under Global Database’s Singapore – Table SG.TA002: Motor Vehicle Population and Registrations.

This layer shows household size by number of vehicles available. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percentage of households with no vehicle available. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B08201 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Germany remained the largest passenger car market in 2024: German customers bought over 2.82 million units that year. Of the twenty largest European markets, Sweden recorded the steepest drop in sales through 2024, down by seven percent. Volkswagen tops EU sales in 2024 Volkswagen emerged as the best-selling brand in the European Union (EU) throughout 2024, with nearly 1.2 million unit sales. Volkswagen was followed by Toyota and Škoda. Furthermore, in 2023, the Tesla Model Y was the top-selling passenger vehicle model in Europe. This indicates a significant preference among European customers for petrol hatchbacks. On the other hand, there has been a pivot towards electrified vehicles in Europe. In 2024, 52.5 percent of new car registrations in the EU were electrified to some degree, including plug-in electric vehicles and hybrid vehicles. This is influenced by policies like the EU's ban on new fossil-fuel car sales from 2035, intended to boost sustainability. Even though electric vehicle adoption has been slow in Europe, Norway managed EV transformation much faster with significant financial subsidies to EV buyers. In 2024, 88.9 percent of passenger car sales in Norway were fully electric. This was the highest share of battery-electric cars in Europe, and comes after Norway rolled back the subsidies that supported the success of electric vehicles in the country. Germany dominates European car industry By 2023, Germany had solidified its leadership in car manufacturing in Europe, producing approximately 4.11 million passenger cars, nearly double its closest competitor, Spain. Furthermore, in 2022, Germany had the largest passenger vehicle fleet in Europe, with 48.8 million units. Besides leading in production, German car manufacturers also excel in financial performance and brand value. Volkswagen was the top global automaker in terms of revenue, with 348.6 billion U.S. dollars of revenue as of May 2024. Additionally, German brands like Mercedes-Benz and BMW ranked as some of the most valuable worldwide, with brand values of 58.9 and 52 billion U.S. dollars, respectively.