The graph illustrates the average number of cars per household in the United States from 1969 to 2022. The x-axis represents the years, labeled from '69 to '22, while the y-axis displays the average number of cars per household. Over this period, the average increased from 1.16 cars per household in 1969 to a peak of 1.89 in 2001. The lowest recorded average was 1.16 in 1969, and the highest was 1.89 in 2001. After 2001, the average slightly decreased to 1.83 in 2022. The data indicates an overall upward trend in the average number of cars per household over the decades, with a slight decline in recent years.

On average, there are 1.88 vehicles per U.S. household. According to the U.S. Department of Transportation, the percentage of households without a car or light truck came to around nine percent in 2017, meaning that about 90 percent of households had at least one light vehicle at their disposal in that same year.

Most Americans drive daily

In a recent Gallup poll among U.S. adults, about 64 percent of respondents claimed to drive daily, while another 19 percent of respondents stated that they would use a motor vehicle multiple times in an average week. These figures are in line with the U.S. motorization rate, which stood at 821 vehicles per 1,000 inhabitants in 2015.

 These streets were made for driving  

The United States has the most extensive road network, compared to any other country in the world: its road network encompasses almost 6.6 million kilometers or about four million miles. In 2018, there were about 270 million vehicles roaming the streets of the country.

As of April 2023, a one-person household in Japan, the most common type there, owned on average **** passenger cars, the overall average amounting to **** cars. Naturally, ownership also correlated with the annual income.

United States Average Vehicles per Household: 4 or More Licensed Drivers data was reported at 4.100 Unit in 2017. This records an increase from the previous number of 3.900 Unit for 2009. United States Average Vehicles per Household: 4 or More Licensed Drivers data is updated yearly, averaging 3.850 Unit from Dec 1991 (Median) to 2017, with 4 observations. The data reached an all-time high of 4.100 Unit in 2017 and a record low of 3.800 Unit in 2001. United States Average Vehicles per Household: 4 or More Licensed Drivers data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s United States – Table US.TA003: Number of Vehicles per Household.

United States Average Vehicles per Household: w/ Children data was reported at 2.200 Unit in 2009. This stayed constant from the previous number of 2.200 Unit for 2001. United States Average Vehicles per Household: w/ Children data is updated yearly, averaging 2.200 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 2.200 Unit in 2009 and a record low of 2.200 Unit in 2009. United States Average Vehicles per Household: w/ Children data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

This statistic depicts the car ownership per household in France from 2015 to 2021. In 2021, an estimated 3.9 million people in France owned three cars or more.

The East of England was the English region with the highest average number of cars or vans owned per household. All regions recorded an ownership of at least one car, with London being the only exception where the average numbered *** in 2017/18. According to a 2017 Statista survey, ** percent of respondents from the East of England reported owning a car. This was surprisingly lower than other English regions. The East Midlands had seen the highest share of car owners at ** percent, only outranked by Northern Ireland.

 East of England has most multiple car owners

The East of England also tied with the South East, South West, and East Midlands as having the highest percentage of households, owning more than one car. In 2017/18, it was estimated that ** percent of residents from the East were multiple car owners. By comparison, ** percent reported having no car or van within their household.

 ** percent of UK residents have car available  

A 2017 Statista survey found that roughly ** percent of UK residents had a car permanently available to them in their household. Of these, ** percent had their own car.

United States Average Vehicles per Household: Rural data was reported at 2.400 Unit in 2009. This records an increase from the previous number of 2.300 Unit for 2001. United States Average Vehicles per Household: Rural data is updated yearly, averaging 2.300 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 2.400 Unit in 2009 and a record low of 2.100 Unit in 1991. United States Average Vehicles per Household: Rural data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

United States Average Vehicles per Household: w/o Children data was reported at 1.700 Unit in 2009. This stayed constant from the previous number of 1.700 Unit for 2001. United States Average Vehicles per Household: w/o Children data is updated yearly, averaging 1.700 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 1.800 Unit in 1991 and a record low of 1.700 Unit in 2009. United States Average Vehicles per Household: w/o Children data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

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.

United States Average Vehicles per Household: 2 Persons data was reported at 2.000 Unit in 2009. This stayed constant from the previous number of 2.000 Unit for 2001. United States Average Vehicles per Household: 2 Persons data is updated yearly, averaging 2.000 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 2.000 Unit in 2009 and a record low of 1.900 Unit in 1991. United States Average Vehicles per Household: 2 Persons data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

United States Average Vehicles per Household: 2 Licensed Drivers data was reported at 2.200 Unit in 2009. This stayed constant from the previous number of 2.200 Unit for 2001. United States Average Vehicles per Household: 2 Licensed Drivers data is updated yearly, averaging 2.200 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 2.200 Unit in 2009 and a record low of 2.100 Unit in 1991. United States Average Vehicles per Household: 2 Licensed Drivers data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

This statistic presents the mean number of motor vehicles per household in the United States in 2014, by type of residence. Overall, the mean number of motor vehicles per household in the United States came to 1.8 in 2014.

United States Average Vehicles per Household: 1 Licensed Driver data was reported at 1.100 Unit in 2009. This records a decrease from the previous number of 1.200 Unit for 2001. United States Average Vehicles per Household: 1 Licensed Driver data is updated yearly, averaging 1.200 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 1.500 Unit in 1991 and a record low of 1.100 Unit in 2009. United States Average Vehicles per Household: 1 Licensed Driver data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

United States Average Vehicles per Household: 1 Person data was reported at 1.000 Unit in 2009. This stayed constant from the previous number of 1.000 Unit for 2001. United States Average Vehicles per Household: 1 Person data is updated yearly, averaging 1.000 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 1.200 Unit in 1991 and a record low of 1.000 Unit in 2009. United States Average Vehicles per Household: 1 Person data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

United States Average Vehicles per Household: 2 or More Persons data was reported at 2.400 Unit in 2009. This records a decrease from the previous number of 2.500 Unit for 2001. United States Average Vehicles per Household: 2 or More Persons data is updated yearly, averaging 2.500 Unit from Dec 1991 (Median) to 2009, with 3 observations. The data reached an all-time high of 2.700 Unit in 1991 and a record low of 2.400 Unit in 2009. United States Average Vehicles per Household: 2 or More Persons data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s USA – Table US.TA003: Number of Vehicles per Household.

Dataset contains counts and measures for households from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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The variables included in this dataset are for households in occupied private dwellings (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated):

• Count of households in occupied private dwellings
• Access to telecommunication systems (total responses)
• Household crowding index for levels 1 and 2
• Household composition
• Number of usual residents in household
• Average number of usual residents in household
• Number of motor vehicles
• Sector of landlord for households in rented occupied private dwellings
• Tenure of household
• Total household income
• Median ($) total household income
• Weekly rent paid by household for households in rented occupied private dwellings
• Median ($) weekly rent paid by household for households in rented occupied private dwellings.

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Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Concept descriptions and quality ratings

Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

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Household crowding

Household crowding is based on the Canadian National Occupancy Standard (CNOS). It calculates the number of bedrooms needed based on the demographic composition of the household. The household crowding index methodology for 2023 Census has been updated to use gender instead of sex. Household crowding should be used with caution for small geographical areas due to high volatility between census years as a result of population change and urban development. There may be additional volatility in areas affected by the cyclone, particularly in Gisborne and Hawke's Bay. Household crowding index – 2023 Census has details on how the methodology has changed, differences from 2018 Census, and more.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.

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Symbol

-997 Not available

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.