In 2022, Tianjin had the highest ownership rate of private cars across all regions in China, followed by Beijing, Guangdong and Zhejiang. The number of cars registered in China increased significantly in the last few decades, thanks to the country's strong economic growth.

Number of Cars: Privately Owned: Per 1000 Person: CF: City of Moscow data was reported at 282.272 Unit in 2022. This records a decrease from the previous number of 297.353 Unit for 2021. Number of Cars: Privately Owned: Per 1000 Person: CF: City of Moscow data is updated yearly, averaging 232.100 Unit from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 306.351 Unit in 2017 and a record low of 69.800 Unit in 1990. Number of Cars: Privately Owned: Per 1000 Person: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.RAD005: Number of Cars Privately Owned per 1000 Persons.

As of March 31, 2024, private car usage per household in Japan was the highest in ***** Prefecture, with ***** private passenger cars in use per 100 households. The national average amounted to ***** private passenger cars per 100 households during the measured period. Rural vs. urban car usage While the number of vehicles in use was on a steady upwards trend in recent years, many of the country’s residents travel via public transportation. The reliance on cars in Japan heavily depends on the area, with higher usage rates among households from rural regions and below-average car ownership in metropolitan centers with well-running public transportation systems. An alternative, yet popular, mode of transportation is bicycles. Narrow streets, limited parking options, and heavy traffic make car ownership a costly and difficult-to-navigate endeavor for city dwellers. Bicycles bypass suchlike matters and instead provide easy access and low maintenance mobility for daily errands. Sharing vs. buying cars Unsurprisingly, residents from rural areas in Japan tend to spend more on cars, yet the willingness to invest in vehicle-related purchases tends to be comparably low across all prefectures. This attitude might open up new opportunities within the domestic vehicle market, such as ride or car-sharing services. Shared mobility services are not only convenient but also easier on the wallet as customers avoid maintenance costs. However, as long as the rural infrastructure does not provide the development of public mobility, car ownership rates will likely remain high across the Japanese countryside.

Daily vehicle miles traveled (VMT) is a distance- and volume-based measure of driving on roadways for all motorized vehicle types—car, bus, motorcycle, and truck—on an average day. Per capita VMT is the same measure divided by the same area's population for the same year. Per vehicle VMT divides VMT by the number of household vehicles available by residents of that geography in the same year. These three value types can be selected in the dropdown in the first chart below. Use the legend items to explore various geographies. The second chart below shows per capita and total personal vehicles available to the region’s households from the American Community Survey.

Normalizing VMT by a county or region's population, or household vehicles, is helpful for context, but does not have complete parity with what is measured in VMT estimates. People and vehicles come into the region from other places, just as people and vehicles leave the region to visit other places. VMT per capita compares all miles traveled on the region's roads to the region's population (for all ages) from the U.S. Census Bureau's latest population estimates. Vehicle counts for VMT are classified by vehicle types, but not by vehicle ownership. In 2017, statewide estimates for VMT by motorcycles, passenger cars, and two-axle single-unit trucks with four wheels made up 88% of Pennsylvania's VMT, and 95% of New Jersey's. These vehicle types are highly likely to be personal vehicles, owned by households, but a small percent could be fleet vehicles of companies or governments. The remaining VMT is made up of vehicle types like school and commercial buses and trucks with more than two axles so they are highly likely to be commercial vehicles.

This web map contains layers that contain some of the more commonly used variables from the General Community Profile information from the Australian Bureau of Statistics 2021 census. Data is available for Country, Greater Capital City Statistical Area (GCCSA), Local Government Area (LGA), Statistical Area Level 1 (SA1) and 2 (SA2), and Suburb and Localities (SAL) boundaries.The General Community Profile contains a series of tables showing the characteristics of persons, families and dwellings in a selected geographic area. The data is based on place of usual residence (that is, where people usually live, rather than where they were counted on Census night). Community Profiles are excellent tools for researching, planning and analysing geographic areas for a number of social, economic and demographic characteristics.Download the data here.Data and Geography notes:View the Readme files located in the DataPacks and GeoPackages zip files.To access the 2021 DataPacks, visit https://www.abs.gov.au/census/find-census-data/datapacksGlossary terms and definitions of classifications can be found in the 2021 Census DictionaryMore information about Census data products is available at https://www.abs.gov.au/census/guide-census-data/about-census-tools/datapacksDetailed geography information: https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas: 2021 Statistical Area Level 1 (SA1), 2021 Statistical Area Level 2 (SA2), 2021 Greater Capital City Statistical Areas (GCCSA), 2021 Australia (AUS)https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/non-abs-structures: 2021 Suburbs and Localities (SAL), 2021 Local Government Areas (LGA)Please note that there are data assumptions that should be considered when analysing the ABS Census data. These are detailed within the Census documents referenced above. These include:Registered Marital StatusIn December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. For 2021, registered marriages include all couples.Core Activity Need for AssistanceMeasures the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of a long-term health condition (lasting six months or more), a disability (lasting six months or more), or old age. Number of Motor VehiclesExcludes motorbikes, motor scooters and heavy vehicles.Please note that there are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals.Source: Australian Bureau of Statistics

With more than 737 thousand vehicles, the region of Uusimaa in the south of Finland had the largest amount of registered passenger cars in the country. This was a margin of nearly 477 thousand vehicles to the region with the second highest number of registered passenger cars, Pirkanmaa (approximately 260 thousand cars).

Car density per one inhabitant amounted to less in Uusimaa than in the Pirkanmaa region Uusimaa, the region where the capital city of Helsinki is located, was also the region with the largest population in the country. With 1.7 million inhabitants in 2021, this meant that one car was possessed per roughly 0.42 persons. In comparison, Pirkanmaa with a population of 527 thousand had one car per 0.49 persons, which meant that a car was owned by approximately every other person in that region.

Toyota leading new passenger car registrations in 2020 In the region of Uusimaa, the most popular passenger car brand in 2018 was the Japanese automotive manufacturer Toyota, followed by Volkswagen and Škoda. In 2021, Toyota was also the leading passenger car brand in the whole country when it comes to registrations of new passenger cars, with roughly 14 thousand new cars.

In 2023, on average, one in two urban households and one in three rural households in China owned a car. Altogether, there were **** cars for every 100 Chinese households. This figure has increased more than ********* in the last decade.

A result of China’s economic miracle The substantial increase in car ownership in China is directly correlated with the country's rapid economic development since the 1980s. Until the late 1990s, there were few private cars in China. Cars were generally owned by public organizations, corporations, or transportation companies. The opening of joint ventures in China by foreign automotive companies such as Volkswagen and Toyota led to the introduction of more affordable models in the Chinese market. Combined with rising income levels across the country, the number of private cars in China has grown rapidly since**********, to the point where traffic-related pollution and congestion have gradually become a major problem in China's major cities.

The rise of electric vehicles In recent years, electric vehicles developed by a number of Chinese automotive companies, including BYD and XPeng, have been gaining ground thanks to the Chinese government's generous incentive policies. As a result, China's EV market has become one of the most competitive in the world. Automotive companies such as BYD, Chery and Geely are also making strong gains in the international market.

This statistic shows the percentage of households owning a passenger car in 2014, with a breakdown by major economy. In 2014, more than ** percent of Japanese households had registered at least one passenger vehicle.

Car ownership in households

Unsurprisingly, most countries with high car ownership rates in 2014 were regions with advanced economies. Americans were on the top of the list among surveyed countries, with ** percent reporting to own a car. More common places to find a car included Germany, South Korea, France, Malaysia, and Japan, each with more than an ** percent car ownership rate. By contrast, Vietnam and Bangladesh had the least passenger vehicles registered, with only two percent of the population reporting to own a car.

In the United States, a great share of people from affluent households reported owning or leasing a vehicle falling into the truck, SUV, and van category, followed by crossover vehicle. Toyota, Honda and Nissan were the best-selling passenger car manufacturers in the country, in terms of sales in 2015.

Two-wheelers, the more economical alternative to a car, were more often seen in South and Southeast Asia, as more than ** percent of households in Thailand, Vietnam, Indonesia, and Malaysia owned a motorcycle or scooter. Overall, bicycles were more common around the globe than cars. Countries with the most bike owners include Germany, Indonesia, China, and India.

This paper examines the association between the Great Recession and real assets among families with young children. Real assets such as homes and cars are key indicators of economic well-being that may be especially valuable to low-income families. Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 4,898), we investigate the association between the city unemployment rate and home and car ownership and how the relationship varies by family structure (married, cohabiting, and single parents) and by race/ethnicity (White, Black, and Hispanic mothers). Using mother fixed-effects models, we find that a one percentage point increase in the unemployment rate is associated with a -0.5 percentage point decline in the probability of home ownership and a -0.7 percentage point decline in the probability of car ownership. We also find that the recession was associated with lower levels of home ownership for cohabiting families and for Hispanic families, as well as lower car ownership among single mothers and among Black mothers, whereas no change was observed among married families or White households. Considering that homes and cars are the most important assets among middle and low-income households in the U.S., these results suggest that the rise in the unemployment rate during the Great Recession may have increased household asset inequality across family structures and race/ethnicities, limiting economic mobility, and exacerbating the cycle of poverty.

According to Cognitive Market research, the global Car Detailing Service market is expected to have a market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.

The global Car Detailing Service market is expected to have a market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
The increasing popularity of car ownership has contributed to the rising demand for professional detailing services.
The Asia Pacific Region has the largest market share with an expected market size of XX million with a growing CAGR of XX% during the forecast period.
The North American region is the fastest growing with an expected market size of XX million in 2024 with a growing CAGR of XX% during the forecast period.
In this fiercely competitive worldwide market, numerous companies are fighting for market share. Service providers in the market are making significant efforts to enhance customer service.

MARKET DYNAMICS

KEY DRIVERS

Increasing Number of Passenger Cars on the Road Will Drive Market Growth 

There are now more cars on the road overall due to rising disposable income and purchasing power as well as easier access to financing and leasing options. For example, the per capita disposable income in India is expected to be ?2.14 lakh in 2023–2024. Changes in gross and net national disposable income were revealed by the government's correction of the GDP statistics. In FY24, per capita disposable income increased by 8%, compared to 13.3% in FY23. This expected rising disposable income allows consumers to purchase cars. In addition, a change in the population in the major cities has led to a rise in the number of cars on the road because of the metro politicization and rapid infrastructure development that have increased the population in metropolitan regions. According to a 2021 article from the Journal of Nature Sustainability, Americans rely heavily on their cars; 91% of people use their vehicles to get to work, and cars offer a degree of convenience that is frequently unsurpassed by other forms of transportation. Particularly in urban areas, there is a growing need for car detailing, different types of body paint, and restoration services in this industry. As more and more car owners choose to use these services, the market is growing in different locations. As a result, new, tiny competitors have emerged in developed nations where the need for auto detailing services is greater. Therefore, it is anticipated that the growing number of passenger cars on the road will fuel market expansion. (Source- https://economictimes.indiatimes.com/)

Growing Customer Knowledge of Car Care Services and Products to Spur Market Development 

It is anticipated that there will be a large increase in demand for auto care goods and services. It is anticipated that growing concerns about cleanliness will propel market expansion. Customers are also being compelled to keep their cars clean due to the rise in sales of luxury and electric vehicles, which need to be maintained regularly to retain their premium appearance and feel. The demand stems from a growing client awareness of various paint and body protection services. A few of the major factors propelling the market expansion are consumers' growing concerns about recovering faded exterior components and maintaining car paint. The market is expected to expand more as a result of the rising demand for contemporary car cleaning services like PPF and ceramic coatings waxing. PPF is one of the options available on the market for car body protection. In the end, it saves car owners money on maintenance and repairs by protecting the paint against chemicals, UV rays, acid rain, and road debris with an extremely durable polymer or polyurethane film covering. Furthermore, the solution lowers the total cost of automotive repairs and maintenance, which lowers the cost of ownership and raises the value of the vehicle when it is sold. In large metropolitan and suburban locations, people are gravitating towards the solution primarily for these few perks among others. Therefore, owing to these reasons the market for car detailing services is expected to rise.

Restraints

An inadequate supply of skilled labour might hinder the growth of the market. 

There is a labour shortage as a result of the market's rapid expansion and the emergence of smaller...

Analysis of ‘Parking Statistics in North America’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/terenceshin/searching-for-parking-statistics-in-north-america on 28 January 2022.

--- Dataset description provided by original source is as follows ---

ABOUT

This dataset identifies areas within a city where drivers are experiencing difficulty searching for parking. Cities can use this data to identify problem areas, adjust signage, and more. Only cities with a population of more than 100,000 are included.

Data

Some variables to highlight:

• AvgTimeToPark: The average time taken to search for parking (in minutes)
• AvgTimeToParkRatio: The ratio between the average time taken to search for parking and of those not searching for parking in the current geohash
• TotalSearching: The number of drivers searching for parking
• PercentSearching: The percentage of drivers that were searching for parking
• AvgUniqueGeohashes: The average number of unique geohashes at the 7 character level (including neighbouring and parking geohashes) that were driven in among vehicles that searched for parking
• AvgTotalGeohashes: The average number of all geohashes at the 7 character level (including neighbouring and parking geohashes) that were driven in among vehicles that searched for parking
• CirclingDistribution: JSON object representing the neighbouring geohashes at the 7 character level whereby vehicles searching for parking tend to spend their time. Each geohash will have the average percentage of time spent in that geohash prior to parking.
• HourlyDistribution: JSON object representing the average prevalence of searching for parking by hour of day (% distribution based on number of vehicles experiencing parking problems)
• SearchingByHour: JSON object representing the average percentage of vehicles searching for parking within the hour
• PercentCar: Percentage of vehicles with parking issues that were cars
• PercentMPV: Percentage of vehicles with parking issues that were multi purpose vehicles
• PercentLDT: Percentage of vehicles with parking issues that were light duty trucks
• PercentMDT: Percentage of vehicles with parking issues that were medium duty trucks
• PercentHDT: Percentage of vehicles with parking issues that were heavy duty trucks
• PercentOther: Percentage of vehicles with parking issues that were unknown classification

Content

This dataset is aggregated over the previous 6 months and is updated monthly. This data is publicly available from Geotab (geotab.com).

Inspiration

As some inspiration, here are some questions:

• Which cities are the hardest to find parking?
• By joining population data externally, can you determine a relationship between a region's population and the time that it takes to find parking?
• Similarly, by finding external data, is there a correlation between GDP and parking times? What about average household income?

--- Original source retains full ownership of the source dataset ---

Car Sharing Market Outlook

According to our latest research, the global car sharing market size reached USD 9.2 billion in 2024, demonstrating robust momentum driven by urbanization and evolving mobility preferences. The market is set to expand at a CAGR of 15.4% from 2025 to 2033, with the total market value forecasted to hit USD 31.6 billion by 2033. This rapid growth is propelled by increasing environmental concerns, rising urban congestion, and the growing adoption of digital platforms facilitating seamless vehicle access and management.

One of the primary growth factors for the car sharing market is the increasing urbanization witnessed across the globe. As metropolitan areas become more densely populated, traditional car ownership becomes less practical due to limited parking availability, rising fuel costs, and worsening traffic congestion. Car sharing offers a flexible and cost-effective alternative, allowing users to access vehicles only when needed without the burdens of ownership. This shift is further supported by government policies in major cities that promote shared mobility to reduce emissions and alleviate urban congestion. Additionally, the proliferation of smartphone applications and digital platforms has made it easier for users to locate, reserve, and unlock vehicles on demand, further driving market adoption.

The growing awareness of environmental sustainability is another significant driver for the car sharing market. With increasing concerns about air pollution and carbon emissions, both consumers and governments are seeking greener transportation solutions. Car sharing helps reduce the total number of vehicles on the road, leading to decreased emissions per capita and more efficient use of resources. Many car sharing fleets are also integrating electric and hybrid vehicles, aligning with global efforts to transition towards cleaner energy sources. This environmental consciousness is particularly pronounced among younger populations, who are more likely to prioritize sustainable and shared mobility options over traditional ownership.

Technological advancements in telematics, connectivity, and data analytics are further catalyzing the growth of the car sharing market. Modern car sharing platforms leverage GPS, IoT, and real-time data to optimize fleet management, enhance user experience, and ensure vehicle availability. These technologies enable efficient tracking, maintenance, and utilization of vehicles, minimizing downtime and maximizing profitability for operators. Furthermore, seamless integration with payment gateways and customer support systems enhances user convenience, fostering repeat usage and customer loyalty. The ongoing evolution of autonomous vehicles and AI-driven fleet optimization is expected to unlock new opportunities for market expansion in the coming years.

Regionally, Europe currently leads the global car sharing market, supported by strong regulatory frameworks, high urban density, and a tech-savvy population. North America follows closely, with significant growth potential in the United States and Canada due to increasing urbanization and shifting consumer preferences. The Asia Pacific region is emerging as a rapidly growing market, driven by large urban populations, government initiatives to reduce traffic congestion, and rising smartphone penetration. Latin America and the Middle East & Africa are also witnessing gradual adoption, although infrastructural and regulatory challenges persist in these regions. Overall, the global car sharing market is poised for sustained growth across all major regions, with technological innovation and regulatory support acting as key enablers.

Model Analysis

The car sharing market is segmented by model into round trip, one way, free floating, and peer-to-peer. Round trip models, where users pick up and return vehicles to the same location, have traditionally dominated the market due to their simplicity and established infrastructure. This model is particularly popular among busine

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.

Over the past five years, the Limousine and Town Car Services industry has contended with internal and external challenges. However, the industry has been helped by growing per capita disposable income, leading many consumers to spend on luxury car services rather than less-expensive alternatives. Moreover, new technology, particularly mobile apps such as Uber and Lyft that connect drivers and customers, has enabled greater ease of booking and paying for town cars and has provided the industry with a growing pool of customers. In 2020, falling domestic trips due to COVID-19 dampened industry demand from leisure clients, which account for more than one-third of industry revenue. As a result, industry revenue is expected to decline at an annualized rate of 7.0% to $4.7 billion over the five years to 2023, including an expected fall of 2.8% in 2023 alone.IBISWorld estimates that more than 90.0% of the industry's businesses are nonemployers with no staff, including the tens of thousands of drivers that now use transport network companies such as Lyft and Uber. These new mobile transportation apps have facilitated more nonemployers to enter the industry with the promise of deciding how many hours to work and where to operate. Over the past five years, industry locations have fallen as more than one of every four nonemployers stopped driving in 2020. Additionally, intensified ride-sharing competition, rising fuel costs, and vehicle prices have collectively driven down industry profit.Over the next five years, the industry is expected to continue to decline, damaged permanently by the expectation of lower-cost contractor luxury rideshare services. While limousine companies that can innovate and add new features such as mobile booking and Wi-Fi are unlikely to fold, the industry has been put in reverse. For these reasons, IBISWorld expects industry revenue will fall at an annualized rate of 0.7% to $4.5 billion over the five years to 2028.

As of 2024, Singapore had over one million registered motor vehicles. The lowest number recorded during the observed period was in 2016, with approximately 956,000 motor vehicles in operation. 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.

According to Cognitive Market Research, the global carsharing market size is USD 3,125.20 million in 2024 and will expand at a compound annual growth rate (CAGR) of 21.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 1,250.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 937.56 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 718.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 23.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 156.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 20.4% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 62.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 20.7% from 2024 to 2031.
The station-based model is expected to hold the highest revenue share in the carsharing market

Market Dynamics of Carsharing Market

Key Drivers for Carsharing Market

Increasing Urbanization and Congestion-mitigating Initiatives Growth in the Carsharing Market

Due to the increasing urbanization rate, cities are increasingly troubled by congestion, traffic jams, and parking problems. Carsharing organizations provide the opportunity to reduce the number of vehicles per capita, which allows lowering traffic jams on the roads and the demand for parking lots. Such a form of transportation is gaining popularity due to the constant growth of urbanization in the world and the congestion of existing road infrastructure. As a result, carsharing is becoming an integral part of residents’ daily lives in many cities, leading to the evolution of the market under consideration.

Increasing Environmental Awareness and Shift Towards Sustainable Transportation Rise Market Growth

The carsharing market has been expanding owing to the growth in consumer preference for eco-friendly transportation solutions due to rising anxieties about climate change and environmental stability. Teaming carsharing with electric and hybrid vehicles is an eco-friendly model that lowers carbon emissions and boosts resource efficiency. Furthermore, governments and regulatory agencies are encouraging the development of carsharing fleets to become more reliant on electricity and hybrids by providing financial enticements, tax rewards, and emissions controls . Environmentally friendly sympathies are contributing to market growth worldwide, complemented by supportive regulations from political authorities.

Restraint Factor for the Carsharing market

Lack of Infrastructure Development and Technological Integration Pose Challenges to Carsharing Market Growth

The carsharing market continues to rapidly grow but faces the lack of proper infrastructure development and technological integration. It is a complicated and financially-demanding task to build the necessary charging infrastructure for the electric carsharing fleet. At the same time, integrating innovative telematics systems to manage the fleet efficiently is not less challenging. The issue of interoperability between various carsharing services and transportation networks is another significant bottleneck that prevents carsharing from becoming a dominating trend in the global automotive industry. As a result, this restraint limits the potential carsharing market growth due to the above-mentioned unfavorable conditions. The only way to eliminate this restraint is through considerable investments in infrastructure and technology from the public and private sectors.

Impact of Covid-19 on the Carsharing market

The COVID-19 outbreak has resulted in a important impact on the carsharing market, troublemaking both demand and supply dynamics. Across the world, as the lockdowns and social distancing protocols are being implemented to lessen the spread of the virus, share flexibility service demand has decreased disastrously. Other fears of acquiring the virus have resulted in dwindling customer trust, leading to diminished car-sharing service use. the pandemic-induced financial decline has caused many to reconsider their spending prioritization, resulting in the reduction of contingency expenditures suc...

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Workers include members of the Armed Forces and civilians who were at work last week..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Settlements boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 15.1, number of households with cars. Attributes include a breakdown of households by number of cars owned (e.g. 1 motor car, 2 motor cars). Census 2016 theme 15 represents PC and Internet Access. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In order to distinguish between the urban and rural population for census analysis, the boundaries of distinct settlements need to be defined. This requires the creation of suburbs and extensions to existing cities and legal towns as well as delineating boundaries for settlements which are not legally defined (called Census towns). From 1971 to 2006, Census towns were defined as a cluster of fifty or more occupied dwellings where, within a radius of 800 metres there was a nucleus of thirty occupied dwellings (on both sides of a road, or twenty on one side of a road), along with a clearly defined urban centre e.g. a shop, a school, a place of worship or a community centre. Census town boundaries where extended over time where there was an occupied dwelling within 200 metres of the existing boundary. To avoid the agglomeration of adjacent towns caused by the inclusion of low density one off dwellings on the approach routes to towns, the 2011 criteria were tightened, in line with UN criteria. In Census 2011 a new Census town was defined as being a cluster with a minimum of 50 occupied dwellings, with a maximum distance between any dwelling and the building closest to it of 100 metres, and where there was evidence of an urban centre (shop, school etc). The proximity criteria for extending existing 2006 Census town boundaries was also amended to include all occupied dwellings within 100 metres of an existing building. Other information based on Tailte Éireann mapping and orthogonal photography was taken into account when extending boundaries. Boundary extensions were generally made to include the land parcel on which a dwelling was built or using other physical features such as roads, paths etc. Extensions to the environs and suburbs of legal towns and cities were also constructed using the 100 metre proximity rule applied to Census towns. For census reports, urban settlements are towns with a population of 1,500 or more, while settlements with a population of less than 1,500 are classified as rural.

Snapshot img

Automotive Vents Market Size 2024-2028

The Automotive Vents Market size is estimated to grow by USD 1.17 billion, at a CAGR of 5% between 2023 and 2028. The market is expected to significant growth, driven by the increasing adoption of automotive electronics and the expansion of the automotive industry in emerging economies. The automotive electronics sector is witnessing strong expansion, with advanced features such as climate control systems, air quality sensors, and infotainment systems becoming increasingly popular. Moreover, the rise of electric vehicles (EVs) is fueling demand for automotive vents, as they play a crucial role in temperature management and air quality control in these vehicles.

Additionally, the automotive industry's growth in emerging economies, particularly in Asia Pacific and South America, presents substantial opportunities for market expansion. With increasing disposable income and rising consumer preferences for comfort and convenience, the demand for automotive vents is expected to swell in these regions. Overall, the automotive vents market is set to experience substantial growth in the coming years, driven by the adoption of automotive electronics and the expansion of the automotive industry in emerging economies.

What will be the Automotive Vents Market Size During the Forecast Period?

To learn more about this report, View Sample PDF

Market Dynamics

As per Automotive Vents Market Analysis, the government measures influence various aspects of the automotive industry, from regulations on electronics parts to standards for powertrain components and vehicle interior materials like dashboard designs and interior panels. In the era of digital transformation, E-commerce sites serve as crucial platforms for purchasing automotive components, ensuring reliability and convenience in sourcing parts. These platforms cater to both consumers and businesses looking for specific electronics parts or powertrain components to maintain or upgrade vehicles. The cabin of modern vehicles is designed with advanced dashboard layouts and ergonomic interior panels that enhance comfort and functionality. Government regulations often dictate safety standards and environmental considerations for these components, shaping the market for vehicle interior solutions. Overall, the integration of E-commerce in the automotive sector provides accessibility while government measures ensure the quality and compliance of electronics parts, powertrain components, and interior panels in vehicles.

Automotive Vents Market Driver

The automotive industry in emerging economies is being fueled by growing economic activity and increasing per capita income. Urbanization is contributing to the expansion of cities and a rise in consumer demand, as public infrastructure, such as public transportation, is often inadequate to meet the needs of densely populated urban areas. This drives consumers to purchase cars for convenience, stimulating the growth of the automotive sector.

Moreover, the lack of sufficient last-mile connectivity provided by rail networks boosts the demand for heavy commercial vehicles. The rise of e-commerce also plays a key role in accelerating this demand. With essential automotive components like PTFE materials, PP materials, and PE materials playing a significant role in vehicle engine cooling and vehicle airflow systems, this surge in the automotive sector in emerging markets is expected to be a key driver for the industry in the forecast period. The growing need for vehicle safety components and advancements in automotive engines further contribute to the industry's expansion. Additionally, factors like the increasing demand for automobiles and the critical role of automotive component manufacturers are anticipated to support market growth.

Automotive Vents Market Trends

Automotive vents play a crucial role in protecting vehicle components from dust, water, and fluids. They need to balance airflow and water entry pressure while reducing heat and foreign material entry. companies in the sector are differentiating themselves by providing longer warranties on components, while miniaturization is being adopted by automobile manufacturers to maximize space.

However, these trends present challenges for manufacturers who must produce more durable vents while reducing surface area and weight. To meet these challenges, manufacturers are improving vent membranes to enhance performance and withstand tests such as ingress protection rating. The market is expected to see an increase in the number of manufacturers providing improved membranes during the forecast period.

Automotive Vents Market Challenge

Manufacturers of these vents face a significant challenge due to the short product lifecycle resulting from rapidly evolving technology and changing demand. To keep up with current developments, companies need to focus on innovating new products or modifyin