People without vehicles have a seat on the evacuation bus because the city used American Community Survey (ACS) data to anticipate who would need help when a hurricane approached.
People without vehicles have a seat on the evacuation bus because the city used American Community Survey (ACS) 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 use American Community Survey (ACS) data on local race/ethnicity, income level, and age to stock the right products and improve sales.
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 US city save money when a university analyzes American Community Survey (ACS) data to structure a study on which social programs actually work, helping the city cut wasteful spending.
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 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 (CRDC) through GreatSchools.org.
The American people get the real story on crime trends because the National Crime Victimization Survey (NCVS) captures crimes that are not reported to police.
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 or commuting vouchers.
A company developing a new line of home healthcare products uses American Housing Survey (AHS) data on the aging-in-place movement (home modifications, accessibility features) 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.
Police chiefs reference the National Crime Victimization Survey (NCVS) data so they can better protect survivors of under-reported crimes like sexual assault and domestic violence.
New Orleanians received life-saving smoke alarms for their homes because the fire department used American Community Survey (ACS) data on housing characteristics to identify which neighborhoods needed them most.
Farmers in the American West save money and water because they fine tune their irrigation practices using Landsat data on surface temperature and reflectance compiled by NASA.
A major marketing company creates customized prospect profiles that include accurate small area calculations of home values and rents, which rely on data from the American Housing Survey (AHS).
A state water development board used EPA’s Safe Drinking Water Information System to deploy limited federal funds for improving rural drinking water quality where it was needed most.
An autonomous shipping tech startup trains its AI algorithms for planning the safest and most fuel-efficient ocean routes on data collected by NOAA’s Argo fleet of drifting buoys.
Bats save America’s agriculture industry up to $53 billion every year by eating insects that harm crops. Bats can continue to provide these services when energy and land developers use USGS’ North American Bat Monitoring Program (NABat) database so they can better protect them when building highways, wind farms, and mining operations.
A refugee family gets a tornado warning in both English and their native language and are able to seek shelter in time because their local public broadcasting system used the American Community Survey (ACS) to identify the most common languages in the area.
A student gets the special education services they need because their family and attorney use the Department of Education's Civil Rights Data Collection (CRDC) to demonstrate that the school is not meeting its responsibilities under the Individuals with Disabilities Education Act (IDEA).
A home organizing influencer shares a statistic from the 2024 American Time Use Survey (ATUS) data showing that women do approximately 20% more household activities than men to encourage working moms to hire help without guilt.
A warehouse worker gets shift flexibility to take their aging father to medical appointments because their company updated their HR policies to account for the growing caregiving responsibilities documented in the American Time Use Survey (ATUS).
A local grocery store owner increases sales with a new delivery service after they learn, based on data from the American Time Use Survey (ATUS), that their customers have a high rate of online grocery ordering.
Young adult crime victims, revealed by the National Crime Victimization Survey (NCVS) data to be less likely to seek out services, receive appropriate support because their local police department knew to adapt their approach.
A transitioning military servicemember uses IPEDS data in the Department of Education’s College Navigator to find a college that will give credit for military training and has a vibrant student veteran community.
Advocacy groups provide tailored support to the many Americans losing health insurance by using National Health Interview Survey (NHIS) data to track where coverage is dropping and identify what resources are needed.
Communities of color are better protected from unfair transit plans under Title IV because transportation planners use American Community Survey (ACS) race and ethnicity data to identify proposed service changes that disproportionately limit access to transportation.
A single mom quickly receives approval for SNAP benefits because publicly available USDA application processing timeliness (APT) data prompted her state to speed up their processing of paperwork.
A family relocating to a riverside community consults FEMA’s National Flood Hazard Layer (NFHL) map to compare the flood risks of their top home choices.
A pregnant mom was quickly approved for Medicaid health coverage in time for her prenatal visits because CMS application timeliness data holds states accountable for swiftly processing applications.
A working parent easily renews their family’s healthcare coverage because CMS data on state call center wait times holds their state Medicaid office accountable to drastically reduce wait times from almost an hour to less than a minute.
Eligible families will receive up to $2,200/year because the Supplemental Poverty Measure developed from the Survey of Income and Program Participation (SIPP) demonstrated to Congress that the Child Tax Credit is effective at lifting children out of poverty.
Residents impacted by a disaster are able to evacuate more quickly because emergency managers use Homeland Infrastructure Foundation-Level Data (HIFLD) about critical infrastructure to plan safe and efficient evacuation routes.
Residents impacted by a hurricane more rapidly regain essential services like electricity because utility analysts use Homeland Infrastructure Foundation-Level Data (HIFLD) to locate and prioritize repairs to critical infrastructure.
Graduates of an electrical apprenticeship program find jobs with health insurance because their community college prioritized this occupational program based on Survey of Income and Program Participation (SIPP) data linking licenses to jobs with benefits.
Area residents are safer from flash flooding after a large fire because land managers use Monitoring Trends in Burn Severity (MTBS) data to prioritize reseeding, erosion control, and removing hazardous trees.
A youth group camping in a national forest knows it’s not safe to light a campfire because they see a sign at the campsite entrance with the current “extreme” wildfire risk status from the National Fire Danger Rating System (NFDRS).
Self-driving cars can stay safely in their lanes because they rely on the official geographic location and elevation data from the National Geodetic Survey.
Residents of a neighborhood with no grocery stores now have easy access to fresh, healthy foods because city planners used the Food Access Research Atlas dataset to establish a farmer’s market in their neighborhood.
Homebuyers have equal access to home mortgage loans because a local housing non-profit uses Home Mortgage Disclosure Act (HMDA) data to focus its fair-housing services in neighborhoods with high mortgage denial rates.
A worker saves time commuting because their regional transportation agency used Longitudinal Employer-Household Dynamics (LEHD) data to add faster transportation options in corridors between where people live and work.
Neighbors organize to buy their multifamily building because they identified the approaching public subsidy expiration date using the Multifamily Assistance & Section 8 Database.
Taxpayers receive free assistance in completing their taxes because a nonprofit set up an assistance center in their neighborhood after identifying it as having low income and a need for free tax preparation services, based on IRS Statistics of Income (SOI) data.
A school district is able to make the case for increased teacher salaries using the Department of Education’s Civil Rights Data Collection (CRDC) to demonstrate that teachers in their district are underpaid compared to those in other districts.
Households receive internet access because their city improved broadband services in areas where American Community Survey (ACS) data showed there was limited connectivity.
A fitness chain opens new locations in neighborhoods where CDC PLACES data suggest that there are low physical activity levels.
Tenants move to a new rent-stabilized unit because a community development corporation (CDC) used Low-Income Housing Tax Credit (LIHTC) property data to notify them that their current rent may rise to the market rate.
Residents in rural counties receive mobile health screenings because their regional health center used CDC PLACES data to identify where there’s a shortage of medical services.
Construction workers avoid dangerous outdoor conditions because their city issues air quality early warnings based on NASA’s Goddard Earth Observing System Composition Forecasting (GEOS-CF).
A local library launches reading clubs for kids because National Assessment of Educational Progress (NAEP) data shows that the district’s 4th and 8th graders are falling behind in reading.
A high school guidance counselor helps seniors make better college choices by using the Integrated Postsecondary Education Data System (IPEDs) to show which colleges have the highest graduation rates.
A community college establishes a pantry for its students after the National Postsecondary Student Aid Study (NPSAS) found that 1 in 4 community college students experience food insecurity.
Preschool children have a more stable learning environment because their childcare center increased teacher compensation to match the regional average published in the National Survey of Early Care and Education (NSESE).
A state within the CDC's Autism and Developmental Disabilities Monitoring (ADDM) Network realizes they have comparatively low rates of childhood autism and decides to increase evaluation services to make sure they aren’t leaving children undiagnosed and unsupported.
Deaf college students can access services like ASL interpretation and real-time captioning due to advocacy informed by American Community Survey (ACS) data on degree attainment gaps.
Demonstrating the broad real-world value of federal data is the most strategic path to ensuring its continued flow.
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