Graph and download economic data for Total Real Gross Domestic Product for Cleveland-Elyria, OH (MSA) (RGMP17460) from 2001 to 2023 about Cleveland, OH, real, industry, GDP, and USA.

In 2022, the gross domestic product of the Cleveland-Elyria metro area increased two percent compared to 2021. While this reflects a year of growth, it is still less than compared to the previous year in which the GDP contracted by **** percent. GDP of the United States since 1990 can be accessed here.

Graph and download economic data for Total Per Capita Real Gross Domestic Product for Cleveland-Elyria, OH (MSA) (DISCONTINUED) (PCRGMP17460) from 2001 to 2017 about Cleveland, OH, per capita, real, industry, GDP, and USA.

Graph and download economic data for Total Quantity Indexes for Real GDP for Cleveland-Elyria, OH (MSA) (QGMP17460) from 2001 to 2023 about Cleveland, quantity index, OH, real, industry, GDP, and USA.

Total Quantity Indexes for Real GDP for Cleveland-Elyria, OH (MSA) was 108.77600 Index 2009=100 in January of 2023, according to the United States Federal Reserve. Historically, Total Quantity Indexes for Real GDP for Cleveland-Elyria, OH (MSA) reached a record high of 108.77600 in January of 2023 and a record low of 96.33000 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Quantity Indexes for Real GDP for Cleveland-Elyria, OH (MSA) - last updated from the United States Federal Reserve on December of 2025.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

Ohio’s economic growth was about average through the first two years of the pandemic, but after that its growth has been “noticeably weaker,” according to a new report from the Federal Reserve Bank of Cleveland.

Total Quantity Indexes for Real GDP for Cleveland, TN (MSA) was 112.80600 Index 2009=100 in January of 2023, according to the United States Federal Reserve. Historically, Total Quantity Indexes for Real GDP for Cleveland, TN (MSA) reached a record high of 114.39800 in January of 2022 and a record low of 76.61800 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Total Quantity Indexes for Real GDP for Cleveland, TN (MSA) - last updated from the United States Federal Reserve on November of 2025.

Cleveland Area Real GDP - Historical chart and current data through 2023.

Graph and download economic data for Total Gross Domestic Product for Cleveland, TN (MSA) (NGMP17420) from 2001 to 2023 about Cleveland, TN, industry, GDP, and USA.

Measuring economic growth is complicated by seasonality, the regular fluctuation in economic activity that depends on the season of the year. The Bureau of Economic Analysis uses statistical techniques to remove seasonality from its estimates of GDP, and, in 2015, it took steps to improve the seasonal adjustment of data back to 2012. I show that residual seasonality in GDP growth remains even after these adjustments, has been a longer-term phenomenon, and is particularly noticeable in the 1990s. The size of this residual seasonality is economically meaningful and has the ability to change the interpretation of recent economic activity.

This brief explores how Ohio’s economy has fared in the current business cycle and how it has compared to those of other states by using quarterly GDP data. It also examines the impact of Ohio’s industry differences on its GDP growth.

Adjusting for this residual seasonality indicates that GDP growth, while remaining low, slowed from Q1:2016 to Q2:2016, rather than rose.

The Cleveland Fed maintains a broad range of indicators and datasets that are available for download, including median CPI, median PCE inflation, inflation expectations, yield curve and GDP growth, and simple monetary policy rules.

Graph and download economic data for Real Gross Domestic Product: All Industries in Cleveland County, NC (REALGDPALL37045) from 2001 to 2023 about Cleveland County, NC; NC; real; industry; GDP; and USA.

Beyond GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide an income-based measure of the economy (gross domestic income, or GDI), a measure that averages GDP and GDI, and various aggregates that include combinations of GDP components. This paper compiles real-time data on a variety of NIPA aggregates and uses these in simple time-series models to construct out-of-sample forecasts for GDP growth. Over short forecast horizons, NIPA aggregates—particularly consumption and GDP less inventories and trade—together with these simple time-series models have historically generated more accurate forecasts than a canonical AR(2) benchmark. This has been especially true during recessions, although we document modest gains during expansions as well.

In the US, income and expenditure-side estimates of GDP (GDPI and GDPE) measure true GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDPE, GDPI, unobserved true GDP, and monthly indicators of short-term economic activity. Our MF-VAR imposes restrictions that reflect a measurement-error perspective (that is, the two GDP proxies are assumed to equal true GDP plus measurement error). Without further restrictions, our model is unidentified. We consider a range of restrictions that allow for point and set identification of true GDP and show that they lead to informative monthly GDP estimates. We illustrate how these new monthly data contribute to our historical understanding of business cycles and we provide a real-time application nowcasting monthly GDP over the pandemic recession.

No, first estimates of state GDP growth are not rational forecasts, except for Georgia. Revisions to first estimates of state-level GDP growth tend to be biased, large, and/or predictable using information known at the time of the first estimate.

Measuring economic growth is complicated by seasonality, the regular fluctuation in economic activity that depends on the season of the year. The BEA uses statistical techniques to remove seasonality from its estimates of GDP, but some research has indicated that seasonality remains. As a result, the BEA began a three-phase plan in 2015 to improve its seasonal-adjustment techniques, and in July 2018, it completed phase 3. Our analysis indicates that even after these latest improvements by the BEA, residual seasonality in GDP growth remains. On average, this residual seasonality makes GDP growth appear to be slower in the first quarter of the year and more rapid in the second quarter of the year. Rapid second-quarter growth is particularly noticeable in recent years. As a result, business economists and policymakers may want to take seasonality into account when using GDP to assess the health of the economy.

Reconciled historical estimates of monthly GDP, and its uncertainty, from 1960 to the present day produced from the model explained in Koop, G., McIntyre, S., Mitchell, J., & Poon, A. (2022). Reconciled Estimates of Monthly GDP in the United States. Journal of Business & Economic Statistics, 41(2), 563–577. https://doi.org/10.1080/07350015.2022.2044336The model used is a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDP on the expenditure- (GDPE) and income-side (GDPI), unobserved "true" GDP, and monthly indicators of short-term economic activity. The Excel file includes an Info tab with the run date for each data vintage. The Time column is presented in DD/MM/YYYY.DisclaimerThese data are updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.