gdp

Exploring gross domestic product (GDP) at the county level offers a more detailed look at where industries are located and how they shape local economies, especially in smaller or more rural counties often overlooked at higher geographic levels.

In a country marked by regional diversity, gaining insights into economic performance often means looking beyond conventional state and county boundaries to economic hubs. This edition of Useful Stats uses Bureau of Economic Analysis (BEA) data to first compare U.S. metropolitan and micropolitan GDPs broken down by industry for the last 20+ years, then consider each Metropolitan Statistical Area’s GDP by private industry, highlighting patterns and changes over the past decades.  

Overall U.S. gross domestic product (GDP) has steadily increased over the past decade. However, the growth in the sectors which drive it has been uneven. Data from 2014 through 2023 reveals that sectoral contributions to private industry GDP have shifted from manufacturing (down 1.57 percentage points since 2014) and mining, quarrying, and oil and gas extraction (down 1.05), to professional and business services (up 0.85) and construction (up 0.72).

The real gross domestic product (GDP) of private industries has steadily increased nationwide from 2018-2022, with an average percentage increase of 2% each year, or 9% total, despite a drop from 2019-2020 due to the pandemic. However, the same cannot be said across all private industries; of the 14 broad industries captured by U.S. Bureau of Economic Analysis (BEA) data,[1] eight have grown while six decreased over the five-year period from 2018-2022.

The United States has one of the most diversified economies of any nation, yet also the most dynamic; over the past five years, from 2018 through 2022, the U.S.’ agriculture, forestry, fishing, and hunting industry has grown 53%, while other industries such as manufacturing and construction have grown at a slower pace—17% and 23% respectively—compared to a 25% increase in overall gross domestic product.

Manufacturing in the U.S. accounts for 90% of private-sector R&D, employs 80% of the nation’s engineers, and contributes trillions to the economy—according to Deloitte—with every dollar spent in manufacturing leading to an additional $1.81 added to the economy. However, despite its key importance, the U.S.

With a GDP of over $23 trillion in 2021, the United States has the world's largest economy, according to the latest available data from the World Bank. Yet, the U.S. falls behind such countries as Israel and Korea when it comes to how much is spent on research and development (R&D) in proportion to GDP. For example, Israel and Korea spend 5.56% and 4.93% of their GDP on R&D compared to the U.S.’ 3.46%.

The recession brought upon by the COVID-19 pandemic (February 2020 – April 2020) saw an extremely sharp drop in both GDP and employment, followed by a relatively fast return to non-recessionary rates of unemployment. This swift recovery was a substantial contrast to the periods of the Dot Com Recession (March 2001 – November 2001) and Great Recession (December 2007 – June 2009). These previous recessions saw both dips in GDP, followed by gradual rises in unemployment rates over several months or years, with a gradual decrease in unemployment over the coming years.

From 2002-2021 (the last 20 years for which data is available), the total U.S. real gross domestic product (GDP adjusted for inflation, or Real GDP) increased by approximately 45%, from $13.5 trillion to $19.6 trillion in chained 2012 dollars. On a per capita basis, county-level real GDP increased by an average of 36% over the past 20 years, with a range of growth from -77% (Brooks County, Texas) to 3,950% (Culberson County, Texas).

This edition of Useful Stats takes a high-level look at the United States’ change in Real Gross Domestic Product (RGDP, which is GDP adjusted for inflation) on a per capita basis for each of its counties, boroughs, parishes, etc. (hereon referred to as “counties”). Looking at RGDP per capita allows for an inflation adjusted, population standardized metric for comparing counties over time.