As of 2022, commuter rail was the most expensive mode of public transportation in terms of the median cost for a monthly pass in the United States, costing ***** dollars. The next most expensive modes of transportation were the commuter bus, trolleybus, and heavy and hybrid rail with about ** down to about ** dollars respectively. The rest of the modes had quite comparable prices with the bus having the lowest cost, among the priced options, with ** dollars.

This statistic shows the average monthly passes fare in U.S. public transportation between 2017 and 2019, by mode of transport. In 2019, bus passengers were charged on average of ***** U.S. dollars for a monthly pass.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Public Transportation in U.S. City Average (CUUR0000SETG) from Mar 1935 to Aug 2025 about public, transportation, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

In 2023, a monthly public transport pass in London cost *** U.S. dollars, while a monthly pass in New York cost *** U.S. dollars. Meanwhile public transport in Luxembourg, Valletta, and Tallinn was free during this period.

Cost of fuel for transportation by year and type. Annual price is average of monthly values.

The average for 2021 based on 165 countries was 92.43 index points. The highest value was in Sweden: 185.61 index points and the lowest value was in Syria: 30.94 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

This statistic shows the average cost for public transport (bus, tram, metro) in selected cities around the world in 2018. In 2018, public transport in London was most expensive with an average ticket cost of **** US dollars.

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 displays the average cost of a monthly public transport ticket in Buenos Aires, Argentina in 2018 and 2019. In 2019, a monthly public transport ticket in Buenos Aires costed approximately **** U.S. dollars, down from **** U.S. dollars a year earlier.

The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region. The Location Affordability Index (LAI) estimates three dependent variables of transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent variables (median income, per capita income, average household size, average commuters per household, residential density, gross density, block density, intersection density, transit connectivity, transit frequency of service, transit access shed, employment access, job diversity, and average commute distance). To hone in on the built environment’s influence on transportation costs, the independent household variables (income, household size, and commuters per household) are set at fixed values to control for any variation they might cause. The LAI also estimates two dependent variables of housing costs (Selected Monthly Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly owner costs and regional median gross rent in addition to the 14 variables used in the transportation model.

To learn more about the Location Affordability Index (v.1.0) visit: https://www.locationaffordability.info/LAPMethods.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Location Affordability Indev v.1.0. Date of Coverage: 2005-2009 https://www.locationaffordability.info/LAPMethodsV2.pdf

Shows 2003 to present monthly average costs of shipping a metric ton of Brazilian soybeans per 100 miles by Historical truck. This is table 8 of the Brazil Soybean Transportation report.

In 2024, the subway was the most expensive mean of public transportation in Russia, measuring at **** rubles per trip. Trolleybus, on the other hand, ranked as the cheapest public mode of transportation in the country in that year.

The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region. The Location Affordability Index (LAI) estimates three dependent variables of transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent variables (median income, per capita income, average household size, average commuters per household, residential density, gross density, block density, intersection density, transit connectivity, transit frequency of service, transit access shed, employment access, job diversity, and average commute distance). To hone in on the built environment’s influence on transportation costs, the independent household variables (income, household size, and commuters per household) are set at fixed values to control for any variation they might cause. The LAI also estimates two dependent variables of housing costs (Selected Monthly Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly owner costs and regional median gross rent in addition to the 14 variables used in the transportation model.

To learn more about the Location Affordability Index (v.1.0) visit: https://www.locationaffordability.info/LAPMethods.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Location Affordability Indev v.1.0. Date of Coverage: 2005-2009 https://www.locationaffordability.info/LAPMethodsV2.pdf

This statistic displays the average cost of a monthly public transport ticket in Mexico City from 2014 to 2019. In 2019, a monthly public transport ticket in Mexico City costed approximately **** U.S. dollars, down from ** U.S. dollars a year earlier.

Romania Monthly Labour Cost: NACE 2: Avg: per Employee: Transport & Storage data was reported at 3,461.000 RON in 2016. This records an increase from the previous number of 3,244.000 RON for 2015. Romania Monthly Labour Cost: NACE 2: Avg: per Employee: Transport & Storage data is updated yearly, averaging 2,559.000 RON from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 3,461.000 RON in 2016 and a record low of 528.000 RON in 2000. Romania Monthly Labour Cost: NACE 2: Avg: per Employee: Transport & Storage data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Romania – Table RO.G028: Average Monthly Labour Cost: NACE 2: by Economic Activity.

The Federal Highway Administration's National Highway Construction Cost Index (NHCCI) is a quarterly price index intended to measure the average changes in the prices of highway construction costs over time and to convert current-dollar highway construction expenditures to real dollar expenditures.

Public Transport Market Outlook

The global public transport market size was estimated at USD 200 billion in 2023 and is projected to reach USD 350 billion by 2032, growing at a CAGR of 6.5% from 2024 to 2032. The increasing urbanization and the growing demand for efficient and sustainable transportation solutions are primary growth factors driving the market. As more people move towards urban centers, the need for reliable and extensive public transport systems becomes vital, promoting investments and developments in this sector.

One of the primary growth drivers of the public transport market is the increasing awareness and governmental policies emphasizing environmental sustainability. As emissions from personal vehicles continue to contribute significantly to urban pollution, public transport emerges as a green alternative. Governments worldwide are adopting policies and providing subsidies to promote the use of public transportation, thereby reducing the carbon footprint. Furthermore, advancements in technology, such as the integration of IoT, AI, and big data analytics, are enhancing operational efficiencies and passenger experiences, further encouraging public transport adoption.

The rising fuel prices and the economic feasibility of public transport over private vehicles also play a crucial role in the market's expansion. As fuel costs soar, maintaining private automobiles becomes financially burdensome for the average consumer. Public transport offers a cost-effective alternative, minimizing travel expenditure. Moreover, many urban areas are experiencing increased congestion, and public transport systems present a more viable solution for reducing traffic, thus saving time and improving quality of life for commuters. This economic advantage is further supported by the rising trend of shared mobility services, which integrate seamlessly with existing public transport modes.

Demographic shifts, particularly the aging population and the increasing number of working professionals, also fuel market demand. Older individuals often rely on public transport for accessibility reasons, while the working populace seeks convenient and time-saving travel options. Urban planners are increasingly considering these demographic factors in transport planning, leading to enhanced and expanded transit networks. Additionally, the shift towards smart cities is pushing the development of integrated public transport systems that are crucial for the seamless flow of urban life.

Regionally, the Asia Pacific is expected to dominate the public transport market due to rapid urbanization and economic growth in countries such as China and India. These nations are heavily investing in public transport infrastructure to support their burgeoning urban populations. Meanwhile, Europe and North America are witnessing significant technological advancements and policy initiatives aimed at modernizing existing public transport systems to make them more environment-friendly and efficient. Latin America and the Middle East & Africa are also expected to see substantial growth, driven by infrastructure development and increased investments in public transport.

Mode of Transport Analysis

The mode of transport segment in the public transport market is crucial as it encompasses the various means through which passengers are transported, including buses, trains, trams, metros, and others. Buses, being the most accessible and prevalent form, dominate the market due to their flexibility and coverage. Buses are extensively used in both urban and rural areas, offering extensive routes and frequency. The affordability and government initiatives promoting bus usage for reducing urban congestion contribute significantly to this segment's growth. Moreover, technological advancements in bus systems, such as electric and hybrid models, further enhance their appeal.

Trains and metros are central to the public transport market, especially in densely populated urban areas. These modes provide fast, reliable, and high-capacity transit solutions, making them indispensable for daily commuters in metropolitan regions. Governments are investing heavily in expanding rail networks and modernizing existing infrastructure with state-of-the-art technologies to boost efficiency and safety. The development of high-speed rail networks, particularly in Asia and Europe, highlights the segment's importance in reducing travel times and enhancing regional connectivity.

Trams are gaining popularity in urban areas due to their environmental benefits and ability to integrate w

This data shows the weekly cost indices of transporting grain by each mode: truck, rail, barge, and ocean-going vessels. The base of each index (set to 100) is each mode’s average cost in the year 2017. For truck, the base rate is $2.65 per gallon of diesel. For rail, the base rate is $4,833.14 per railcar. (The rail rate is the near-month secondary rail market value and monthly tariff rate with fuel surcharge for select shuttle train routes, per car.) For barge, the base rate is 327 and is based on Illinois River barge rates. The ocean indices are based on the rate, per metric ton, to Japan. For the Gulf-to-Japan ocean route, the base rate is $39.33/metric ton. For the Pacific Northwest-to-Japan ocean route, the base rate is $21.05/metric ton.

Indonesia Average Monthly Household Expenditure: Metro Municipality: Consumption: Transportation, Communication & Financial Services data was reported at 397,896.000 IDR in 2012. Indonesia Average Monthly Household Expenditure: Metro Municipality: Consumption: Transportation, Communication & Financial Services data is updated yearly, averaging 397,896.000 IDR from Dec 2012 (Median) to 2012, with 1 observations. Indonesia Average Monthly Household Expenditure: Metro Municipality: Consumption: Transportation, Communication & Financial Services data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HB005: Cost of Living Survey (SBH-2012): Average Monthly Household Expenditure: by Cities and Commodities Group.

According to a survey among Chinese consumers in *************, ** percent of the respondents confirmed that they spent more on transportation compared to six months ago, significantly lower than the global average of ** percent. In comparison, more than half of the Chinese respondents didn't perceive any price changes regarding transportation costs.