Federal Reserve Economic Data

Net international investment position (NIIP) captures the difference between two large numbers: the value of US-owned assets abroad (foreign assets) and the value of foreign-owned assets in the US (foreign liabilities). The NIPP determines whether a country is a net creditor (positive position) or a net debtor (negative position) and is an important indicator of a country’s financial condition.

The FRED graph above shows that the US NIIP as a percentage of US gross domestic product has been negative and declined sharply since the 2008 financial crisis. From 2007 to 2021, the NIIP fell dramatically, by approximately 67 percentage points of GDP, from –9% to –76% of GDP. There was a brief increase in 2022, when the NIIP rose to –62% of GDP. But this recovery was short-lived. By the end of the first quarter of 2024, the US NIIP had fallen again, back to –75% of GDP. This overall trend represents a significant and persistent weakening of the United States’ financial position relative to the rest of the world over nearly two decades.

What’s driving this decreasing trend in the US NIIP? Examining the evolution of the two major components of the NIIP separately—foreign assets and foreign liabilities—will allow us to determine whether the decreasing NIIP is primarily due to changes in US foreign assets, foreign liabilities, or a combination of both.

The second FRED graph, above, breaks down US assets (green line) and liabilities (red line) as percentages of US GDP. Assets and liabilities generally move in tandem, but the percentage of US-owned assets abroad is consistently lower than foreign-owned US assets.

At the start of the financial crisis, this gap in investment began to widen and assets fell by a larger percentage than liabilities: 30 versus 10 percentage points, respectively. Then in 2012, assets and liabilities moved apart and the gap widened. From 2012 to 2020, assets steadily fell within 120% to 140% of GDP while liabilities hovered between 160% and 180% of GDP. At the onset of the pandemic, around the second quarter of 2020, both assets and liabilities jumped, but liabilities increased by a slightly larger percentage.

Data show that the growing gap between US-owned assets abroad and foreign-owned US assets explains the increasing decline in the US net international investment position.

But this gap is driven by more than just new investments and divestments. A crucial factor is the impact of valuation changes on existing asset holdings. These valuation effects can arise from fluctuations in asset prices, such as stock market movements, or changes in exchange rates. Such changes can significantly alter the value of cross-border holdings without any actual transactions taking place. A more comprehensive understanding of this NIIP deterioration needs a detailed study of both the composition and valuation dynamics of these international assets and liabilities.

How these graphs were created: Search FRED for “International Investment Position” and select “U.S. Net International Investment Position.” Click the “Edit Graph” panel in the upper right corner to open the “Edit Line” box. Scroll down to “Customize data.” In the text box, search for “gdp” and select “Gross Domestic Product.” Click “Add” next to the text box. Below this section, in the “Formula” space, enter (a/1000)/b and click “Apply.” Repeat this process for the second graph with “U.S. Liabilities.” Next click the gray “ADD LINE” box at the top. In that search box, search for “U.S. Assets.” Scroll down to “Customize data”: Search for “gdp” and select “Gross Domestic Product.” Click “Add” next to the text box. Below this section, in the “Formula” space, enter (a/1000)/b and click “Apply.”

Suggested by Ana Maria Santacreu and Ashley Stewart.

The FRED Blog has discussed recent developments in commercial real estate and consumer credit card lending. Today, we dive deeper into the topic of consumer lending by focusing on the latest data on consumer auto loans.

The FRED graph above shows data from the Federal Deposit Insurance Corporation (FDIC) on the dollar value of three different types of loans made to individuals: credit card loans (blue area), auto loans (red area), and other loans (green area).^* We adjust the data, available since 2011, for consumer price inflation to facilitate their analysis over time.

The dollar value of auto loans made to individuals steadily decreased between the second half of 2022 and the time of this writing. That decrease is easier to see in this FRED graph of the same data plotted in year-over-year growth rates. What could explain this trend?

Juan M. Sánchez and Masataka Mori at the St Louis Fed studied the evolution of auto loans according to the income level of the borrower. Their analysis finds that the percentage of rich borrowers with auto loans markedly declined after 2019. In other words, fewer high-income households are borrowing to purchase vehicles. Higher interest rates on auto loans could be driving those borrowers to make these vehicle purchases by drawing on their savings or using other types of loans.

For more about this and other research, visit the publications page on the St. Louis Fed’s website, which offers an array of economic analysis and expertise provided by our staff.

^*This is shown as the difference between “Other Loans to Individuals” and its subcategory “Auto Loans.”

How this graph was created: In FRED, search for and select “Balance Sheet: Total Assets: Loans to Individuals: Credit Cards.” Next, click the “Edit Graph” button and use the “Line 1” tab to customize the data by searching for “Consumer Price Index for All Urban Consumers: All Items in U.S. City Average.” Don’t forget to click on “Add.” Next, type the formula (a/b)*100 and click on “Apply.” Next, use the “Add Line” tab to add the other two series: “Balance Sheet: Total Assets: Loans to Individuals: Other Loans to Individuals: Auto Loans” and “Balance Sheet: Total Assets: Loans to Individuals: Other Loans to Individuals” to the graph. Follow the steps described above to customize the data. Use the “Format” tab to change the graph type to “Area” and select stacking “Normal.”

Suggested by Melanie LeTourneau and Diego Mendez-Carbajo.

The FRED Blog has used World Bank data to discuss infant mortality and life expectancy and refugee populations across groups of countries, economies, or territories classified by their level of income. Today, we discuss how these income categories are assigned.

The FRED graph above shows annual population growth data between 1961 and 2023 for the four income categories defined by the World Bank: high (blue line), upper middle (red line), lower middle (green line), and low (purple line).

Each country’s income is measured through its gross national income (GNI), the economic value added by all national producers (plus and minus some adjustments). The income figure is converted from various local currencies to US dollars, then divided by the number of persons in the total population and compared against a series of numerical thresholds for each group. For example, at the time of this writing, a low-income economy is defined as one with a GNI per person of $1,145 or less.

The threshold values separating each income category are updated every year to account for price inflation. Also, because income levels do change over time, some countries move into different categories. For example, all South Asian countries were classified as low-income countries in 1987, whereas in 2023 only one in eight were in that category.

This FRED Blog post is adapted from the World Bank’s Data Blog post “World Bank country classifications by income level for 2024-2025.”

How this graph was created: Search FRED for and select “Population Growth for High Income Countries.” Next, click the “Edit Graph” button and then the “Add Line” tab to search for and add “Population Growth for Upper Middle Income Countries.” Repeat that last step two more times to add the “Population Growth for Lower Middle Income Countries” and the “Population Growth for Low Income Countries” to the graph.

Suggested by Diego Mendez-Carbajo.