Nasdaq datasets cover end-of-day index values, performance, and volatility analytics that span geographies and asset classes.

Our FRED graph above shows 3 of these series: The flagship Nasdaq composite index (solid blue line), the large-capitalization Nasdaq-100 index (dashed green line), and the Nasdaq-100 Technology Sector index (orange dash-dot line). We customized the data series into indexes with a value of 100 in April 2020, the end of the COVID-19 recession, to compare their evolution during the past five years.

What patterns can we see?

First and foremost, the three indexes move together. The technology index has been relatively more volatile than the other two. And, since mid-2021, the large-capitalization index has outperformed the market-wide composite index.

FRED now has 9,705 series of Nasdaq’s daily indexes in a broad range of categories. Several are listed below. You can learn more by visiting the source’s website.

• Flagship composites of non-financial securities listed on the Nasdaq Stock Exchange Market such as the Nasdaq Composite index and the Nasdaq-100.
• Sector-specific indexes under the PHLX rubric.
• Market-capitalization indexes in the AlphaDEX® family.
• Technical analysis indexes reported by Nasdaq Dorsey Wright.
• Thematic indexes such as the Nasdaq volatility index and the OMX Nordic series.
• Indexes of international securities segmented by region, country, size, and industry.

How this graph was created: Search FRED for and select “NASDAQ Composite Index.” Click on the “Edit Graph” button and select the “Add Line” tab to search for “NASDAQ 100 Index.” Don’t forget to click on “Add data series.” Repeat the last two steps to search for and add “NASDAQ-100 Technology Sector.” Next, use the “Edit Line” tab to change the units to “Index (Scale value to 100 for chosen date).” Select the “2020-04-01 End” date and click on “Copy to all.”

Suggested by Diego Mendez-Carbajo.

How much are members of the US military paid compared with civilian employees of the federal government? In short, they’re paid less.

Our FRED graph above plots the average compensation of military personnel as a percentage of the average compensation of civilian employees of the federal government. Let’s look at the percentages in relation to some geopolitical and military events along this 25-year timeline:

Before the 9/11/2001 attacks, an average member of the military earned about 70% of what an average civilian government employee earned. From 2001 to 2009, the average military paycheck became increasingly comparable to a civilian paycheck, peaking in 2009 at 94%.

Operation Iraqi Freedom ended in 2010, and Osama bin Laden was killed in 2011. These dates coincide with the start of a decline in the pay of military personnel relative to the pay of civilian government employees. The decline brought a military paycheck down to around 80% of a civilian paycheck in 2017. Since 2017, there’s been a slow increase again.

Of course, the graph doesn’t explain why the military are paid less than the civilian employees of the US government. But it does show that increased demand for military services abroad and the likely heightened risk faced by the military during the 2001-2009 period coincided with increased compensation relative to the civilian. And this is exactly what one would expect from a basic supply-and-demand analysis.

How this graph was created: Search FRED for and select “Compensation of employees: Federal general government: Military (W4080C0A144NBEA).” Click on “Edit Graph” and, in sequence, add the following series to the graph: Full-time equivalent employees: Federal general government: Military (B4380C0A173NBEA), Compensation of employees: Federal general government: Civilian (B4079C0A144NBEA), Full-time equivalent employees: Federal general government: Civilian (B4379C0A173NBEA). In the “Formula” field, enter (a/b) / (c/d) * 100 and click “Apply formula.”

Suggested by Guillaume Vandenbroucke.

There’s been renewed attention to trade policy, tariff measures, and bilateral agreements, including trade agreements between the United States and India. Our FRED graph above shows monthly US exports and imports to and from India over the past four decades. Both imports (orange line) and exports (blue line) have gradually risen since the 1990s.

Yet, they are a small share of total US imports and exports, as shown by our second FRED graph, below. As of January 2026, exports to India accounted for about 2.5% of total US exports, and imports from India accounted for 3% of total US imports.

Data in FRED also allow us to see the geographic distribution of trade with India across US states. Our FRED map below illustrates the value of exports to India as of 2022. States shaded in dark green were the top exporters, with export values between $776.8 million and $5.72 billion. Most of these states lie along the East and West coasts, with some high-exporting states in the Midwest (Illinois) and the South (Louisiana, Florida, and Georgia).

How these graphs and maps were created: First graph: Search FRED for “EXP5330” and select “U.S. Exports of Goods by F.A.S. Basis to India.” In the “Edit Graph” panel, open the “Add Line” tab to search for “IMP5330” and select “U.S. Imports of Goods by Customs Basis from India.” Click “Add data series.” Open the “Format” tab to change the color of the second line to orange and the line style to solid. Second graph: Search FRED for “EXP0015” and select “U.S. Exports of Goods by F.A.S. Basis to World.” In the “Edit Graph” panel, open the “Edit Lines” tab. Scroll down to “Customize data” to search for “EXP5330” and add “U.S. Exports of Goods by F.A.S. Basis to India.” In the “Formula” tab, apply formula b/a to get the share of exports to India in total U.S. exports. To calculate the share of imports from India in total U.S. imports, open the “Add Line” tab and search for “IMP0015” and select “U.S. Imports of Goods by Customs Basis from World.” In the “Edit Graph” panel, open the “Edit Lines” tab. Scroll down to “Customize data” to search for “IMP5330” and select “U.S. Imports of Goods by Customs Basis from India.” Apply the same formula as line 1. Then open the “Format” tab and change the color of the second line to orange and the line style to solid. Ensure that all four datasets are of the same format. Map: Search FRED for “Value of exports to India from” and click on the first option. Click “View Map” and, in the “Edit Map” section, change the number of color groups to 5 and choose the fractile method.

Suggested by Revathy Ramchandran and B. Ravikumar.