People without vehicles have a seat on the evacuation bus because the city used American Community Survey data to anticipate who would need help when a hurricane approached.

Farmers and ranchers hit hard by drought receive tax relief because they use the US Drought Monitor, which depends on NOAA's Vegetation Health Index data, to demonstrate their eligibility for an IRS program.

Communities across the US received $26B for opioid treatment and prevention in a settlement with prescription opioid producers because state Attorneys General used CMS Medicaid data to determine the state costs of RX opioid misuse.

Business owners rebuilding after coastal flooding know how high to install the new HVAC so it is resilient to future flooding because they use NOAA's sea level rise data.

High school football players avoid life-threatening heat stroke because their coach uses a free commercial weather app powered by National Weather Service heat index data to know when to move practice inside.

Grocery chains optimize their inventory – and their bottom line – by using ACS data on race/ethnicity, income level, and age to stock products based upon projected local demand.

A small veteran-owned AI company enables first responders to more quickly deploy resources to save lives during emergencies by using the National Blend Model and Weather Research & Forecasting Model in their decision-support tool.

Taxpayers in a major American city spend less money on ineffective social safety net programs because a university used ACS data to evaluate the impacts of a program on a representative sample of beneficiaries.

A cancer patient living in a rural county is able to fly direct to a regional cancer center for lifesaving treatment because their local airport used the DOT's T-100 Domestic Segment Data on airplane passenger traffic to make the case for one-stop-service between the airports.

America's new space economy is positioned to reduce American dependence on foreign nations for rare earth minerals used in modern technologies through moon mining missions that rely on NASA's Lunar Reconnaissance Orbiter (LRO) data.

When relocating to a new city for their work, parents can find an apartment on Zillow near a local school with great disability resources using Zillow's school quality rating tool powered by the Department of Education's Civil Rights Data Collection through GreatSchools.org.

The American people get the real story on crime trends because the National Crime Victimization Survey captures crimes that are not reported to police.

Crime victims get the support they need because police department victim assistance units use National Crime Victimization Survey data to understand which populations are most likely to be victimized and design the most effective programs to serve them.

Children with chronic health conditions such as obesity and diabetes will get healthier when policymakers use data on BMI from the National Health Interview Survey to evaluate and improve the performance of school-based nutrition programs.

State officials use Survey of Income and Program Participation (SIPP) data to prioritize cost-effective programming to promote economic opportunity, such as job training programs, commuting vouchers.

A company developing a new line of home healthcare products uses American Housing Survey data on the aging-in-place movement (home modifications, accessibility features) combined with National Health Interview Survey data on common health conditions among seniors to tailor their product design and marketing.

A property owner in rural Louisiana identified the best location to dig a well using the USGS National Water Information System groundwater level data.

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People often take infrastructure — like bridges, electricity, and cell service — for granted. The same is true for federal data.

Demonstrating the broad real-world value of federal data is the most strategic path to ensuring its continued flow.

The goal of America's Essential Data is to make it easy for:

Do you use a federal dataset that delivers important benefits for the American people? Help us tell the story of that dataset!

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