
Demographics by radius and by drive time now come as a 7-page PDF for any US address: your own rings next to the county and state, ready in about a minute, $75 with no subscription.
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The 1-3-5 mile demographics table every listing flyer needs, free for any US address. A step-by-step walkthrough on a real site in Austin, Texas, and what the numbers say about it.
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Half of US commuters are on the road by 7:38 AM, the same as in 2009. The morning still changed: here is where America starts earliest and latest.
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Learn how to compare demographics between two or more US locations side by side using Map AI.
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Learn how to pull real demographic data for any trade area in seconds using Map AI's drive-time tool.
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Walking's share of US commuting fell from 2.87% to 2.40% since 2009. We map where Americans still walk, where nobody does, and how it tracks life expectancy.
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US driving is back to its pre-pandemic peak while 8.6 million fewer people commute. Commuting predicted traffic for a decade, then the link broke in 2019.
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Driving to work fell from 86.4% to 78.8% of US commuters between 2009 and 2023. Public transit fell too. Here is where the share actually went, state by state.
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Washington, DC has the nation's highest renter share at 59%, while West Virginia is the most owner-occupied state at 74%. Compare every US state's housing tenure.
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Bronx County, NY has the highest renter share of any large US county at 80%, while Elbert County, CO is 94% owner-occupied. See the full county ranking.
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Fifteen states entered 2019 above the national median income and grew slower than the country. Three went backwards in real terms.
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Idaho, Arizona and Washington led US median household income growth since 2019, and the winners split into catch-up states and rich states pulling further ahead.
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Idaho, Utah and Nevada led US population growth from 2019 to 2024, and 10 states took 77% of everything the country added.
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Maryland's median household income tops $101,971 while Mississippi trails at $55,084. See the full state-by-state income ranking and what drives the gap.
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Discover Map AI Chat, an AI-powered tool that simplifies and visualizes location analysis with real demographic and geographic data, offering interactive, actionable insights for site selection and research.
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King County, WA recorded 8,049 offenses per 100,000 residents in 2022, about 13% above the Washington rate. Theft was the most common offense.
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San Luis Obispo County, CA recorded 1,703 offenses per 100,000 residents in 2022, about 55% below the US figure. Theft was the most common offense.
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Kent County, MI recorded 5,216 offenses per 100,000 residents in 2022, about 24% above the Michigan rate. Assault was the most common offense.
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Saline County, AR recorded 5,329 offenses per 100,000 residents in 2022, about 21% below the Arkansas rate. Theft was the most common offense.
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Jackson County, MO recorded 10,408 offenses per 100,000 residents in 2022, about 85% above the Missouri rate. Theft was the most common offense.
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DeKalb County, GA recorded 7,846 offenses per 100,000 residents in 2022, about 2.0 times the Georgia rate. Assault was the most common offense.
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Darlington County, SC recorded 9,810 offenses per 100,000 residents in 2022, about 60% above the South Carolina rate. Assault was the most common offense.
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Dallas County, IA recorded 1,376 offenses per 100,000 residents in 2022, about 57% below the Iowa rate. Assault was the most common offense.
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Howard County, MD recorded 3,672 offenses per 100,000 residents in 2022, close to the US figure. Theft was the most common offense.
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Howard County, AR recorded 3,365 offenses per 100,000 residents in 2022, about 50% below the Arkansas rate. Assault was the most common offense.
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Houston County, GA recorded 5,954 offenses per 100,000 residents in 2022, about 48% above the Georgia rate. Assault was the most common offense.
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Prince George's County, MD recorded 3,393 offenses per 100,000 residents in 2022, about 10% below the US figure. Theft was the most common offense.
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Henry County, VA recorded 3,542 offenses per 100,000 residents in 2022, about 23% below the Virginia rate. Theft was the most common offense.
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Henry County, GA recorded 4,262 offenses per 100,000 residents in 2022, about 6% above the Georgia rate. Theft was the most common offense.
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Henrico County, VA recorded 5,217 offenses per 100,000 residents in 2022, about 14% above the Virginia rate. Theft was the most common offense.
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Hennepin County, MN recorded 6,859 offenses per 100,000 residents in 2022, about 61% above the Minnesota rate. Theft was the most common offense.
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Coos County, OR recorded 4,415 offenses per 100,000 residents in 2022, about 24% below the Oregon rate. Theft was the most common offense.
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Contra Costa County, CA recorded 3,010 offenses per 100,000 residents in 2022, about 20% below the US figure. Theft was the most common offense.
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Colquitt County, GA recorded 2,888 offenses per 100,000 residents in 2022, about 28% below the Georgia rate. Theft was the most common offense.
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Hamilton County, IN recorded 2,032 offenses per 100,000 residents in 2022, about 46% below the US figure. Theft was the most common offense.
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Greene County, OH recorded 3,400 offenses per 100,000 residents in 2022, about 19% below the Ohio rate. Theft was the most common offense.
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Clark County, OH recorded 5,740 offenses per 100,000 residents in 2022, about 36% above the Ohio rate. Assault was the most common offense.
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Newberry County, SC recorded 4,135 offenses per 100,000 residents in 2022, about 33% below the South Carolina rate. Theft was the most common offense.
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Gloucester County, VA recorded 3,432 offenses per 100,000 residents in 2022, about 25% below the Virginia rate. Assault was the most common offense.
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Cameron County, TX recorded 4,805 offenses per 100,000 residents in 2022, about 12% below the Texas rate. Assault was the most common offense.
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Anderson County, SC recorded 6,644 offenses per 100,000 residents in 2022, about 8% above the South Carolina rate. Theft was the most common offense.
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Alamance County, NC recorded 6,594 offenses per 100,000 residents in 2022, about 24% above the North Carolina rate. Assault was the most common offense.
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This blog explores the link between smoking, drinking habits, and life expectancy across America, highlighting geographic disparities from state to county level using detailed Map AI data.
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Explores the interplay of drinking and smoking habits across America with granular Map AI data, revealing local patterns and public health insights beyond state averages.
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Insights into America's most and least sedentary states reveal significant regional disparities in physical inactivity influenced by socioeconomic and environmental factors.
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Explore America's top and least tobacco use states, revealing a regional divide shaped by culture, economics, and public health policies. Understand the impact of tobacco traditions and control measures.
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Explore how cultural, legal, and climatic differences shape binge drinking rates across American states, highlighting top and least drinking states with unique social insights.
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Explore America's most and least sedentary counties revealing striking regional disparities linked to socioeconomic and health factors, highlighting opportunities for promoting active lifestyles nationwide.
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Explore the counties in the USA with the highest and lowest smoking rates, revealing stark regional disparities influenced by cultural, economic, and historical factors.
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Explore America's top and least drinking counties with detailed binge drinking rates revealing cultural and policy influences, primarily contrasting Wisconsin's high alcohol consumption with Utah's low rates.
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With Map AI, it's easy to access detailed insights into the ethnic population distribution of any location...
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Choosing a home isn’t just about the property itself—it’s about the community that surrounds it. That is why when looking for the perfect place to live, work, or invest...
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Dreaming of living near New York City without breaking the bank? Map AI uncovers affordable New Jersey towns that keep you close to the action! Here are four standout options...
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When buying a home, school rankings, especially school ranking by neighborhood, often plays a pivotal role in the decision-making process. The quality of local schools can influence both your immediate living...
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When it comes to selecting a safe neighborhood, understanding the crime landscape is crucial. Crime heatmaps are a powerful tool that help homebuyers make informed decisions by providing a visual representation...
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