Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

US State Transportation & Health

Modes, Fatalities, and Physical Activity

By Department of Transportation [source]

About this dataset

This dataset provides a comprehensive look at the transportation and health of each US state. Included are important indicators such as commute mode share (auto, transit, bicycle and walk), complete streets policies, person miles of travel by private vehicle and walking, physical activity from transportation sources, road traffic fatalities exposure rates (auto, bicycle and pedestrian), seat belt use, transit trips per capita, use of federal funds for bicycle/pedestrian efforts, vehicle miles traveled per capita and proximity to major roadways. All these parameters allow for a comprehensive evaluation of the health state in regards to transportation. Thus allowing users to gain insights into the way different states go about their fundamental transport practices that may have implications on their overall health. This tool will allow you to compare different states across these variables in order to make correlations between policy choices and public health outcomes over time – equipping decision makers with crucial information that could help make data-driven decisions in the future

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains transportation and health information for every state in the US. This data can be used to gain a better understanding of how transportation affects our health and quality of life.

To use this dataset, you first need to understand what each column means. The columns are: State, Commute Mode Share - Auto, Commute Mode Share - Transit, Commute Mode Share - Bicycle, Commute Mode Share - Walk , Complete Streets Policies, Person Miles of Travel by Private Vehicle , Person Miles of Travel by Walking , Physical Activity from Transportation , Road Traffic Fatalities Exposure Rate- Auto , Road Traffic Fatalities Exposure Rate- Bicycle , Road Traffic Fatalities Exposure Rate-Pedestrian , Seat Belt Use Transit Trips per Capita Use of Federal Funds for Bicycle and Pedestrian Efforts Vehicle Miles Traveled per Capita Proximity to Major Roadways . Each column describes a different aspect related to transportation and health in the US states such as the number commuters who drive their own car or those who use the public transit system.

Once you understand what each column represents you can start exploring different states’ data on that particular feature with statistics such as mean value or maximum/minimum value or visualize it in charts/graphs. Additionally, you can look at correlations between different features across multiple states and try to see if they have any relationship or not. You may also want to combine multiple columns together in order create new metrics (or score) that can be compared across all the states (e.g., calculate a “Commuting Score” based on commute mode share for private vehicle/transit/bicycle). Once your analysis is complete you should have an idea about which state has better (or worse) conditions concerning transportation & health indicators and draw conclusions from there!

Research Ideas

• Creating an interactive map of the US illustrating transportation and health data from each state.
• Developing predictive models to forecast the impact of different transportation policies on health outcomes in various states.
• Identifying correlations between changes in transit mode share and road traffic fatalities/injuries based on locations/states within the US over a particular period of time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: THT_Data_508.csv | Column name | Description | |:----------------------------------------------|:------------------------------------------------------------------------------| | State | The name of the US state. (String) | | Commute Mode Share - Auto | The score assigned to the commute mode share for auto. (Number) | | **Commute Mode Share ** | Score | | Commute Mode Share - Transit | The score assigned to the commute mode share for transit. (Number) ...

This dataset provides both quarterly and annual estimates of the value of the goods and services produced in Iowa as provided by the U.S. Department of Commerce, Bureau of Economic Analysis in tables SAGDP2N, SAGDP9N, SAGDP10N, SQGDP2, and SQGDP9. Annual data is available beginning in 1997, and quarterly beginning 2005. The data include breakdowns of industries' contributions. Quarterly estimates are presented as an annual rate.

Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.

Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars.

The annual per capita real GDP is also provided and is measured in chained dollars. In calculating the per capita real GDP, the real GDP is divided by the Census Bureau’s annual midyear (July 1) population estimates for the year.

The study’s objective was to explore the association between the components of fixed and variable Minimum Basic Care (Portuguese: PAB), sociodemographic factors, epidemiological profile, and municipal spending in primary health care in Rio Grande do Sul State, Brazil. An ecological study in 496 municipalities (counties) in the state was carried out. Mean variable municipal spending from 2011 to 2013 from the financial block of primary health care, representing the actual spending with federal budget transfers, was based on data from the Management Report of the Strategic Management Support Room, and multiple linear regression was used. To adjust the model, variables were grouped in five blocks according to the study’s objective. Mean spending on primary health care was BRL 81.20 (SD ± 35.50) per inhabitant-year. The block of variables comprising the fixed PAB component explained 39% (R2 = 0.39) of the variability in spending between municipalities, while for the variable PAB block, R2 was 0.82, in the sociodemographic block, R2 was 0.26, in the structure-performance block R2 was 0.46, and in the epidemiological profile block the R2 was 0.15. In the final model, the variable associated with the highest estimated values for spending on primary health care was the rate of family health teams. Municipalities with 135 to 41 teams per 100,000 inhabitant-years spend BRL 51.00 more per capita than municipalities with zero to 0 to 8 teams. Spending on primary health care appears to be linked more to federal induction than to factors associated with health care demand, such as the demographic and epidemiological profile of the municipalities in the state of Rio Grande do Sul.

Per capita values are calculated by dividing the estimated population into total revenues per county, per fiscal year.

The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The John H. Chafee Foster Care Program for Successful Transition to Adulthood (the Chafee program) provides funding to support youth/ young adults in or formerly in foster care in their transition to adulthood. The program is funded through formula grants awarded to child welfare agencies in States (including the District of Columbia, Puerto Rico and the U.S. Virgin Islands) and participating Tribes. The program is funded at $143 million a year.

Chafee funds are used to assist youth/ young adults in a wide variety of areas designed to support a successful transition to adulthood. Activities and programs include, but are not limited to, help with education, employment, financial management, housing, emotional support and assured connections to caring adults. Specific services and supports are determined by the child welfare agency, vary by State, locality and agency, and are often based on the individual needs of the young person. Many State or local agencies contract with private organizations to deliver services to young people.

Eligibility for the program, as outlined in federal law, includes:

States and Tribes may have additional requirements for eligibility. State and Tribal agencies may elect to serve young adults up to age 23 only if the agencies also offers foster care to young people up to age 21. The following states have opted to provide Chafee services to young people up to age 23: Colorado, Connecticut, Delaware, District of Columbia, Florida, Hawaii, Idaho, Illinois, Indiana, Iowa, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Mexico, New York, New Hampshire, North Dakota, Oregon, Pennsylvania, Puerto Rico, Tennessee, Utah, Vermont, Virginia, Washington, West Virginia, and Wisconsin.

The Chafee program has an additional appropriation of approximately $43 million annually for the Educational and Training Vouchers (ETV) Program. The ETV program provides financial resources to meet the post-secondary education and training needs of young adults who have experienced foster care after age 14. The program provides formula grants to States and participating Tribes to help young people pay for post-secondary educational and training. Under federal program requirements, agencies may award a voucher of up to $5,000 per year per young person to cover the unmet needs of the student’s cost of attendance at a post-secondary institution. The program can provide assistance to young people up to age 26, but an individual may receive a voucher for no more than a total of 5 years.

States receiving Chafee funding are required to submit data to the National Youth in Transition Database (NYTD). NYTD data are used to learn more about services provided to and outcomes experienced by youth transitioning out of foster care. For more information on NYTD, visit the Children's Bureau NYTD webpage.

If you or someone you know may be eligible for Chafee services and/or the ETV program, please contact your local child welfare agency or state program manager.

Metadata-only record linking to the original dataset. Open original dataset below.

Series Name: Fossil-fuel pre-tax subsidies (consumption and production) per capita (current United States dollars)Series Code: ER_FFS_PRTSPCRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 12.c.1: Amount of fossil-fuel subsidies per unit of GDP (production and consumption)iTarget 12.c: Rationalize inefficient fossil-fuel subsidies that encourage wasteful consumption by removing market distortions, in accordance with national circumstances, including by restructuring taxation and phasing out those harmful subsidies, where they exist, to reflect their environmental impacts, taking fully into account the specific needs and conditions of developing countries and minimizing the possible adverse impacts on their development in a manner that protects the poor and the affected communitiesGoal 12: Ensure sustainable consumption and production patternsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

Follow data.kapsarc.org for timely data to advance energy economics research.

The Public Libraries data set aggregates individual library services and finance data to the town level.

Public libraries provide free borrowing privileges and services to their patrons and receive financial support from local tax funds. Public libraries may be municipal, which are established by and administrative units of local government, or association, which are not units of town government but receive some public funding. Some towns are served by more than one public library.

Library visits include all persons entering a library for any purpose, including persons attending meetings or activities and persons requiring no staff assistance. Circulation counts all library materials of all formats lent out for use outside the library, including renewals. Registered borrowers are all town residents to whom a library has issued membership. Reference questions counts all interactions in which library staff provide information, knowledge, or recommendations to patrons. Town tax appropriation indicates the funds allotted to the library's operation budget from the town. The Adjusted Equalized Net Grand List per Capita (AENGLC) measures town wealth based on property tax and income per capita.

The Gross Domestic Product per capita in the United States was last recorded at 66682.61 US dollars in 2024. The GDP per Capita in the United States is equivalent to 528 percent of the world's average. This dataset provides - United States GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in Nigeria was last recorded at 2447.64 US dollars in 2024. The GDP per Capita in Nigeria is equivalent to 19 percent of the world's average. This dataset provides the latest reported value for - Nigeria GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.