The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in the United States expanded 2 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This data package includes the underlying data to replicate the charts and calculations presented in As US population growth slows, we need to reset expectations for economic data, PIIE Policy Brief 25-5.

If you use the data, please cite as:

Kolko, Jed. 2025. As US population growth slows, we need to reset expectations for economic data. PIIE Policy Brief 25-5. Washington: Peterson Institute for International Economics.

As of the first quarter of 2025, the GDP of the U.S. fell by 0.5 percent from the fourth quarter of 2024. GDP, or gross domestic product, is effectively a count of the total goods and services produced in a country over a certain period of time. It is calculated by first adding together a country’s total consumer spending, government spending, investments and exports; and then deducting the country’s imports. The values in this statistic are the change in ‘constant price’ or ‘real’ GDP, which means this basic calculation is also adjusted to factor in the regular price changes measured by the U.S. inflation rate. Because of this adjustment, U.S. real annual GDP will differ from the U.S. 'nominal' annual GDP for all years except the baseline from which inflation is calculated. What is annualized GDP? The important thing to note about the growth rates in this statistic is that the values are annualized, meaning the U.S. economy has not actually contracted or grown by the percentage shown. For example, the fall of 29.9 percent in the second quarter of 2020 did not mean GDP is suddenly one third less than a year before. In fact, it means that if the decline seen during that quarter continued at the same rate for a full year, then GDP would decline by this amount. Annualized values can therefore exaggerate the effect of short-term economic shocks, as they only look at economic output during a limited period. This effect can be seen by comparing annualized quarterly growth rates with the annual GDP growth rates for each calendar year.

Full Year GDP Growth in the United States decreased to 2.80 percent in 2024 from 2.90 percent in 2023. This dataset includes a chart with historical data for the United States Full Year GDP Growth.

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in From Rapid Recovery to Slowdown: Why Recent Economic Growth in Latin America Has Been Slow, PIIE Policy Brief 15-6. If you use the data, please cite as: De Gregorio, José. (2015). From Rapid Recovery to Slowdown: Why Recent Economic Growth in Latin America Has Been Slow. PIIE Policy Brief 15-6. Peterson Institute for International Economics.

During the "Golden Age of Capitalism", from 1950 to 1973, GDP grew by annual averages of just under five percent in Western Europe*, four percent in the U.S., and ten percent in Japan. This period of prosperity came to an end with the recession of 1973-1975, however GDP growth rates did not return to their previous levels when the recession ended, as growth was fairly sporadic in the 1970s and then much slower throughout the 1980s. From 1973 to 1987, GDP grew annually at just two fifth of the Golden Age's rate in Europe and Japan, while the U.S.' annual rates were somewhat closer.

One major difference between the two given periods was that the U.S. was the dominant and most influential economy of all developed (non-communist) countries in the 1950s and 1960s, however, the 1970s and 1980s saw Japan and the European Communities (led by West Germany and France) emerge as major economic powers in their own right. While the U.S. remained the most powerful country in the world, other developed nations became more economically autonomous, and began asserting their own influence internationally.

Across the United States, the United Kingdom, Germany, and the European Union, gross domestic products (GDP) decreased in 2020 as a result of the COVID-19 pandemic. However, by 2021, growth rates were positive in all four areas again. The United Kingdom, Germany, and the European Union all experiencing slow economic growth in 2023 amid high inflation, with Germany even seeing an economic recession. GDP and its components GDP refers to the total market value of all goods and services that are produced within a country per year. It is composed of government spending, consumption, business investments and net exports. It is an important indicator to measure the economic strength of a country. Economists rely on a variety of factors when predicting the future performance of the GDP. Inflation rate is one of the economic indicators providing insight into the future behavior of households, which make up a significant proportion of GDP. Projections are based on the past performance of such information. Future considerations Some factors can be more easily predicted than others. For example, projections of the annual inflation rate of the United States are easy to come by. However, the intensity and impact of something like Brexit is difficult to predict. Moreover, the occurrence and impact of events such as the COVID-19 pandemic and Russia's war in Ukraine is difficult to foresee. Hence, actual GDP growth may be higher or lower than the original estimates.

Graph and download economic data for Population Growth for the United States (SPPOPGROWUSA) from 1961 to 2024 about population, rate, and USA.

The Covid-19 pandemic saw growth fall by 2.2 percent, compared with an increase of 2.5 percent the year before. The last time the real GDP growth rates fell by a similar level was during the Great Recession in 2009, and the only other time since the Second World War where real GDP fell by more than one percent was in the early 1980s recession. The given records began following the Wall Street Crash in 1929, and GDP growth fluctuated greatly between the Great Depression and the 1950s, before growth became more consistent.

Key information about United States M2 Growth

• United States Money Supply M2 increased 3.9 % YoY in Jan 2025, compared with a growth of 3.8 % in the previous month
• US Money Supply M2 growth data is updated monthly, available from Jan 1960 to Jan 2025
• The data reached an all-time high of 26.6 % in Feb 2021 and a record low of -4.6 % in Apr 2023

• In the latest reports, US Foreign Exchange Reserves was measured at 34.9 USD bn in Dec 2024
• The Foreign Exchange Reserves equaled 0.1 Months of Import in Dec 2024
• US Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY
• The country's Non Performing Loans Ratio stood at 1.7 % in Dec 2024, compared with the ratio of 1.5 % in the previous quarter
• Household Debt of US reached 18,036.0 USD bn in Dec 2024, accounting for 61.7 % of the country's Nominal GDP

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.

Wages in the United States increased 4.78 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 3.95 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.

US Tariff Impact on Market

US tariffs on semiconductor components used in data center chips could impact the overall cost of production. As the demand for GPUs and other advanced chips used in data centers grows, tariffs on components such as processors, memory units, and storage chips could raise production costs.

This price increase may be passed onto end consumers, particularly large data centers, which account for 64.1% of the market. Given the growing importance of data processing in sectors like BFSI (which accounts for 23.0% of the market), these tariffs could slow down investments in upgrading existing infrastructure.

While the North American market currently leads, the rising costs could lead to increased competition from global manufacturers, reducing the market share in the U.S. However, as demand for high-performance computing continues, these short-term challenges may be offset by long-term growth driven by the increasing reliance on cloud services and data-intensive applications.

US Tariff Impact on Sectors

• GPU Chips: 4%-6%
• Data Center Chips (General): 5%-7%
• Semiconductor Components: 3%-5%

Economic Impact

Tariffs on semiconductor components could increase production costs for data center chips, raising prices across sectors, particularly in large data centers. This would impact enterprises relying on large-scale data storage and processing, particularly in high-demand sectors like BFSI, potentially slowing the pace of infrastructure upgrades and investments.

Geographical Impact

North America, which currently leads the market with 38.4% share, may face slowed growth due to higher prices caused by tariffs on imported components. The U.S. could experience reduced competitiveness in the global market, as manufacturers in other regions with fewer tariffs could offer more affordable alternatives.

Business Impact

Businesses in the data center chip sector may face lower profit margins due to increased production costs from tariffs. Companies might be forced to pass the increased costs onto customers, which could affect demand, particularly among smaller enterprises or those in price-sensitive industries, potentially slowing market growth.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/data-center-chip-market/free-sample/

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

US Economy to Slow in June as Fed Tightens Monetary Policy

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Retail Sales in the United States increased 3.90 percent in June of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023 the real gross domestic product (GDP) of the United States increased by 2.5 percent compared to 2022. This rate of annual growth indicates a return to economy normalcy after 2020 saw a dramatic decline in the GDP growth rate due to the the coronavirus (COVID-19) pandemic, and high growth in 2021.

What does GDP growth mean?

Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022.

Countries with highest GDP growth rate

Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

US Tariff Impact on Market

US tariffs on key components of modular data centers, such as servers, cooling systems, and power units, could raise the overall cost of production, affecting the affordability of these data center solutions. As large enterprises, which account for 65.3% of the market, require scalable and cost-effective solutions, the increased costs could lead to a slowdown in demand, particularly for small and medium enterprises that may struggle with higher operational expenses.

However, the growing demand for flexible and energy-efficient data center solutions, driven by IT and telecommunications, could help mitigate the impact of tariff-induced price hikes. Larger enterprises may also seek alternative sourcing strategies to reduce costs, but the short-term impact could affect growth in the modular data center market.

US Tariff Impact on Sectors

• Modular Data Center Solutions: 4%-6%
• Cooling Systems: 5%-7%
• IT Infrastructure: 3%-5%

Economic Impact

Tariffs could increase production costs for modular data center components, raising prices for consumers. This could affect both large enterprises and SMEs, especially in regions with high cost sensitivity. Higher prices may slow the adoption of modular data centers, particularly for businesses with tight IT infrastructure budgets.

Geographical Impact

North America, the dominant region, will experience the most significant impact from tariffs due to its reliance on imported data center components. These increased costs may reduce demand in the U.S., slowing the growth of modular data centers, particularly in industries like IT and telecommunications that rely on cost-efficient solutions.

Business Impact

Companies in the modular data center market may face margin compression due to increased component costs from tariffs. Larger enterprises may absorb the costs, but SMEs could be adversely affected by price increases, resulting in lower adoption rates. This could also slow growth in North America's highly competitive data center market.

➤➤ Request sample reflecting US tariffs @ https://market.us/report/modular-data-center-market/free-sample/