ScrapeHero Research · Trade Area Studies · Preliminary ·
As of 24 September 2026, ScrapeHero tracks 2,019 Target stores in the United States, in all 50 states and Washington, DC. California has the most, 324, and Vermont the fewest, 1. Beyond the count, this report measures how far those stores reach: 64.8% of US households live within a 15-minute drive of one.

The people Target can reach are somewhat better off than the country as a whole: they earn $120,759 a year on average against $113,517 nationally. Most households that can reach a Target have more than one to choose from: 67.3% of the households Target reaches can get to two or more within 15 minutes.
This report asks how far Target's stores actually reach: not how far away they are in miles, but how many households can drive to one and how quickly, what those households earn, how many have a second Target to choose from, and which metropolitan markets the chain trades in and which it has left alone. Every figure is measured along the real road network and apportioned down to census block level, so the reach is what a car can cover rather than a circle drawn on a map. The short answer is 83.8 million households within a 15-minute drive, 64.8% of the country's 129.2 million, earning $10.12tn a year between them.1
13.5% of households are within five minutes of a Target; 81.9% are within thirty. Five minutes is the Target you pass anyway. Thirty minutes is a trip you plan. Households within five minutes of a Target earn much the same as those within thirty: $121,770 a year on average, against $119,485, a difference of 1.9%.
Target operates 2,019 stores in the United States, spread across 50 states and 1,462 separate cities and towns, and mostly in the towns and cities rather than between them.
The US Census marks every census block urban or rural. By that measure 1,960 of Target's 2,019 stand in an urban area (97.1%) and 46 in a rural one (2.3%)6. Of the people Target reaches within a 15-minute drive, 97.1% live in an urban area, against 80% of the country as a whole.
Some Target stores stand in crowded places and some in thinly populated ones, which makes an enormous difference to how many people are nearby. Sorted by the population density of their own trade areas, in people per square kilometre, the thinnest tenth have 10,659 households within a 15-minute drive8. The densest tenth have 205,008, roughly 19 times more. The people near the crowded ones are also better off, by $37,584 a year.
64.8% of US households can reach a Target inside a 15-minute drive. That is 83.8 million households of 129.2 million, or 217 million people. We work it out by taking every home in the country and asking how long it would take to drive to the nearest Target, at 5, 10, 15, 20, 25 and 30 minutes. A home near two Target stores counts once. The shape that comes out is the store's trade area9.
A drive time here does not know two things. It uses posted speed limits with no congestion model, so every figure on this page is an upper bound: a real drive in a dense market at peak hours is slower, and a minute of delay is a fifth of a five-minute budget against a thirtieth of a thirty-minute one. And it assumes a car, so a household with no vehicle is counted as reached while being unable to make the drive.5
9.8% of the households inside a 15-minute Target trade area own no vehicle, against 8.3% of households nationally.
Counting only households that own a vehicle moves Target's reach from 64.8% to 63.8%.

| Drive time | Households that can reach one | Share of all US households % |
|---|---|---|
| 5 min | 17,474,639 | 13.5 |
| 10 min | 58,298,023 | 45.1 |
| 15 min | 83,767,613 | 64.8 |
| 20 min | 95,011,911 | 73.5 |
| 25 min | 101,369,361 | 78.5 |
| 30 min | 105,796,238 | 81.9 |
Double the time from 15 minutes to 30 and the ground a store covers, its trade-area footprint, grows around 6 times bigger, and it picks up another 17.1% of US households.

Most households that can reach a Target have more than one to choose from. 67.3% of the households that can reach a Target in 15 minutes can reach two or more of them. At five minutes 15.5% of the households that can reach a Target can reach a second one, and at thirty minutes 86.5%.
How much choice, though, varies enormously. 27.4 million households have exactly one Target within reach. Another 11.9 million have six or more.

| Stores reachable | Households | Share of reached households % |
|---|---|---|
| 1 store | 27,352,973 | 32.7 |
| 2 stores | 21,449,093 | 25.6 |
| 3 stores | 12,086,581 | 14.4 |
| 4 stores | 6,825,595 | 8.1 |
| 5 stores | 4,140,256 | 4.9 |
| 6 stores or more | 11,913,115 | 14.2 |
Households within a 15-minute drive of a Target earn $120,759 a year on average. The figure for the country as a whole is $113,517. So the people Target can reach earn 6% more than the national average. Added together, everyone in that catchment earns $10.12tn a year: the chain's Trade Area Buying Power.
On the Income Capture Ratio, which compares what the households a chain reaches earn against the country as a whole, 1 is exactly average and Target scores 1.064, somewhat above the middle. Above 1 means it reaches wealthier households than the country's average; below means less wealthy.
Households within five minutes of a Target earn $121,770 and those within thirty $119,485. The 1.9% between them is too small to read as a difference. Both sit 5% above the national average.
Store by store the numbers differ enormously. The typical Target, meaning the median store with half above it and half below, has 78,459 households within a 15-minute drive. Ranked by how many households are nearby, the bottom tenth of stores, the 10th percentile, have 27,570 nearby; the top tenth, the 90th percentile, have 243,467 or more.


| Trade-area size (households) | Stores | Share of stores % |
|---|---|---|
| 0–25,000 | 162 | 8.0 |
| 25,000–50,000 | 413 | 20.5 |
| 50,000–75,000 | 383 | 19.0 |
| 75,000–100,000 | 277 | 13.7 |
| 100,000–125,000 | 221 | 10.9 |
| 125,000–150,000 | 118 | 5.8 |
| 150,000 or more | 445 | 22.0 |
Rank all 2,019 stores again, this time by the median household income of the people living around them, and the middle store sits at $114,413 a year. The bottom tenth are under $84,689 and the top tenth over $163,943. This page reports aggregates; it does not name individual stores.
Two ways to read trade-area income. Count every household Target reaches and the average income is $120,759, 6% above the national figure. Instead look at the typical store and ask what its neighbours earn, and the answer is $114,413, lower by 5%. Both are measured over the same stores: the first weights every household reached, the second takes the middle store.
Expensive ones, slightly: local prices where Target trades run a little above the US average. On the Bureau of Economic Analysis's Regional Price Parities, which set the United States at 100 and measure every metro and state against it, the places Target trades in come out at 102.1.4 So the $120,759 its households earn on average is worth $118,321 once you allow for local prices, less than the raw figure suggests by $2,438.
California has more Target stores than any other state, 324. The fewest is 1 in Vermont. There is no state without one.
Household Reach is the share of a state's households living within a 15-minute drive of at least one Target. California is the highest state at 88.4% and Vermont the lowest at 16.7%, a 5.3× range7. The figure for the country as a whole is 64.8%.
At the top the two measures agree: California leads on both. Further down the ranking they part company. Of the 26 states with 20 or more locations, these two sit furthest apart on the two measures. North Carolina is 10th by store count (57 locations) and 20th by household reach (49.6%). Connecticut is 23rd by store count (24 locations) and 10th by reach (73.2%).

Figures cover the 50 states and the District of Columbia. Alaska and Hawaii are included, on the maps as well as in the tables. Puerto Rico, Guam and the other US territories are not covered.
Household Reach can be thin at 15 minutes and near-complete at thirty in the same state. New Hampshire gains 33.1 percentage points between the two, which says the stores there are positioned for a drive rather than for a neighbourhood.
Coverage is uneven enough to sort the states into four groups10: the ones Target nearly blankets, the broad ones, the partial ones and the thin ones. Of the states Target trades in, 8 are at or above 75% within 15 minutes and 3 are below 25%.
| State | Stores | Households within 5 min % | Households within 15 min % | Households within 30 min % | Households reached within 15 min per store | Coverage tier |
|---|---|---|---|---|---|---|
| District of Columbia[^7] | 4 | 40.3 | 99.6 | 100.0 | 80,832 | Saturated |
| California | 324 | 27.8 | 88.4 | 95.2 | 36,949 | Saturated |
| Nevada | 18 | 17.7 | 82.7 | 90.1 | 55,233 | Broad |
| New Jersey | 56 | 12.9 | 81.0 | 97.6 | 50,713 | Broad |
| New York | 108 | 32.0 | 78.3 | 90.4 | 55,872 | Broad |
| Arizona | 51 | 13.9 | 76.3 | 87.0 | 42,720 | Broad |
| Massachusetts | 51 | 16.1 | 75.6 | 94.6 | 41,302 | Broad |
| Utah | 18 | 13.6 | 75.4 | 85.6 | 47,100 | Broad |
| Illinois | 102 | 22.4 | 74.8 | 87.2 | 36,920 | Broad |
| Colorado | 46 | 16.9 | 74.5 | 86.0 | 38,472 | Broad |
| United States | 2,019 | 13.5 | 64.8 | 81.9 | 41,490 | Partial |
| Region | States with a store | Stores | Households within 15 min % | Households reached within 15 min | Region households, all | Households reached within 15 min per store |
|---|---|---|---|---|---|---|
| Northeast | 9 | 339 | 70.7 | 15,953,774 | 22,574,056 | 47,061 |
| Midwest | 12 | 465 | 59.9 | 16,755,243 | 27,971,901 | 36,033 |
| South | 17 | 661 | 57.9 | 28,816,156 | 49,758,750 | 43,595 |
| West | 13 | 554 | 77.0 | 22,242,441 | 28,904,629 | 40,149 |
Grouped into the four Census Bureau regions, Target reaches most of the West, where 77% of households are within a 15-minute drive, and least of the South at 57.9%. The South holds more stores, 661 against 554, and still reaches less of its own households.
Most: Target has a store in 356 of the 387 metropolitan areas in the United States. Below: which cities and metro areas it trades in, and how the network splits between big cities, small ones and the countryside.
A city name here is the postal city on a store's address. City limits are set by annexation, so they vary widely in how much of a market they contain. The table gives the store count for each city name alongside the metropolitan area it belongs to, and the share of that metro's stores the city holds11.
| City | State | Target in this city | Metropolitan area it belongs to | Target in that metro | City names in that metro | This city's share of its metro % |
|---|---|---|---|---|---|---|
| Chicago | Illinois | 24 | Chicago-Naperville-Elgin, IL-IN | 87 | 61 | 27.6 |
| Los Angeles | California | 17 | Los Angeles-Long Beach-Anaheim, CA | 128 | 81 | 13.3 |
| Houston | Texas | 16 | Houston-Pasadena-The Woodlands, TX | 41 | 23 | 39.0 |
| New York | New York | 14 | New York-Newark-Jersey City, NY-NJ | 107 | 76 | 13.1 |
| Las Vegas | Nevada | 11 | Las Vegas-Henderson-North Las Vegas, NV | 15 | 3 | 73.3 |
| San Antonio | Texas | 11 | San Antonio-New Braunfels, TX | 14 | 4 | 78.6 |
| San Jose | California | 11 | San Jose-Sunnyvale-Santa Clara, CA | 18 | 8 | 61.1 |
| Austin | Texas | 10 | Austin-Round Rock-San Marcos, TX | 18 | 8 | 55.6 |
Los Angeles-Long Beach-Anaheim spreads its Target stores across 81 separate city names.
San Antonio contains 78.6% of its metropolitan area's Target stores. Brooklyn contains 9.3% of its own; the remaining 90.7% of that market carries other city names.
City limits are a poor guide to a market, so the rest of this section uses metro areas instead: a city plus the surrounding counties whose residents commute into it. The formal name is a metropolitan statistical area, or a Core Based Statistical Area, and its boundary is drawn from commuting patterns rather than from city limits.3 And because a metro is a whole number of counties, rolling reach up to metro level is exact arithmetic rather than an approximation. Target stores sit in 674 US counties.
| Metropolitan area | Households in the metro, all | Stores | Households within 5 min % | Households within 15 min % | Households within 30 min % | Households reached within 15 min per store |
|---|---|---|---|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 7,391,787 | 107 | 35.9 | 90.8 | 98.8 | 62,733 |
| Los Angeles-Long Beach-Anaheim, CA | 4,499,409 | 128 | 40.4 | 98.6 | 99.8 | 34,653 |
| Chicago-Naperville-Elgin, IL-IN | 3,643,783 | 87 | 28.3 | 89.0 | 99.0 | 37,291 |
| Dallas-Fort Worth-Arlington, TX | 2,891,725 | 53 | 14.2 | 88.5 | 97.6 | 48,275 |
| Houston-Pasadena-The Woodlands, TX | 2,661,739 | 41 | 14.7 | 84.4 | 97.9 | 54,811 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2,467,761 | 47 | 19.2 | 85.6 | 98.3 | 44,930 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,373,022 | 48 | 20.8 | 88.9 | 98.8 | 43,974 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2,334,797 | 37 | 19.3 | 91.6 | 99.5 | 57,833 |
Los Angeles-Long Beach-Anaheim is the strongest of the 25 largest metros Target trades in, at 98.6% of households within 15 minutes, and Pittsburgh the weakest at 65%.
In Pittsburgh even a thirty-minute drive reaches 90.9% of households, the lowest of the metros listed here. Adding stores would not necessarily change that: the figure is set by how far the road network reaches in half an hour, which is what we measure.
How thinly the stores are spread varies too. Measured as households per store, Minneapolis-St. Paul-Bloomington has one Target for every 23,540 households; New York-Newark-Jersey City has one for every 62,733, a 2.7× difference between two large American metros that no national figure can show.
31 metropolitan areas have no Target at all. The largest is Macon-Bibb County, 88,590 households.
Not everywhere is a city. Every county in the United States is one of three kinds: built around a city, built around a town, or neither. The official terms are metropolitan, for an urban core of 50,000 people or more, micropolitan, for 10,000 to 50,000, and outside any metro area for the rest. Where a chain's stores fall across the three says something a store count cannot.
| Settlement class | Stores | Share of stores % |
|---|---|---|
| Metropolitan | 1,949 | 96.5 |
| Micropolitan | 68 | 3.4 |
| Outside any metro or micro area | 2 | 0.1 |
70 of Target's 2,019 locations (3.5%) sit outside any metropolitan area: 3.4% in a county built around a town and 0.1% in one built around neither, against 96.5% in a metropolitan county.
| Settlement class | US households | Reached within 15 minutes % |
|---|---|---|
| Metropolitan | 110,886,900 | 74.6 |
| Micropolitan | 11,131,909 | 9.3 |
| Outside any metro or micro area | 7,190,527 | 0.3 |
Measured separately inside each class, Target reaches 74.6% of the households in metropolitan counties and 0.3% of those outside any metro or micro area.
Each figure is a population-weighted apportionment of American Community Survey block-group estimates onto inbound drive-time catchments, computed per store on a routable OpenStreetMap network graph and deduplicated at census-block level across the chain.1
Three dates govern any drive time. The road network was built 21 August 2026, the store list was refreshed 24 September 2026, and the demographics are the ACS 2024 5-year release covering 2020–2024, with every money figure in 2024 dollars.2 Roads opened since the network was built do not appear, which understates reach slightly in fast-growing areas.
Limitations. Drive times use posted speed limits with no congestion model, so reach is optimistic in dense markets at peak hours. The store list is an independent scrape, deduplicated to one record per coordinate, so two genuinely distinct stores at one coordinate collapse into one and the count is a lower bound. US territories are outside the coverage used here, and the store list has no Target store in any of them. ACS estimates describe a five-year window centred before the store snapshot, so fast-growing markets are slightly understated. And these figures describe access, not patronage: nothing here measures who actually shops where.
This page states what is measured and where it falls short. The detailed statistical treatment is documented: apportionment validation, the sensitivity tests behind each parameter, the routing-engine comparisons, and the error bounds on every band. Buyers and academic researchers can enquire: https://www.scrapehero.com/contact-us/
The data behind this page
Every figure above is an aggregate. The underlying ScrapeHero Target Dataset has one row per location, carrying addresses, coordinates and attributes, refreshed on a schedule.
Get the datasetA report like this, for any chain
We build these to order, for chains in any country, and go further than this page does when a question needs it. Tell us what you are trying to measure.
Talk to usThe tables from further up, in full or as far as this page takes them. Every state and the District of Columbia appears. The city and metropolitan tables are longer here than above but still ranked and cut: Target trades in more places than a page can hold, so those two stop rather than running on. Sources: ACS 2024 5-year
All 50 states and the District of Columbia, each with the number of Target stores, the share of that state's households within 5, 15 and 30 minutes' drive of one, the households reached per store, and the coverage band. These are the 51 rows the shortened table further up is drawn from.
| State | Stores | Households within 5 min % | Households within 15 min % | Households within 30 min % | Households reached within 15 min per store | Coverage tier |
|---|---|---|---|---|---|---|
| District of Columbia[^7] | 4 | 40.3 | 99.6 | 100.0 | 80,832 | Saturated |
| California | 324 | 27.8 | 88.4 | 95.2 | 36,949 | Saturated |
| Nevada | 18 | 17.7 | 82.7 | 90.1 | 55,233 | Broad |
| New Jersey | 56 | 12.9 | 81.0 | 97.6 | 50,713 | Broad |
| New York | 108 | 32.0 | 78.3 | 90.4 | 55,872 | Broad |
| Arizona | 51 | 13.9 | 76.3 | 87.0 | 42,720 | Broad |
| Massachusetts | 51 | 16.1 | 75.6 | 94.6 | 41,302 | Broad |
| Utah | 18 | 13.6 | 75.4 | 85.6 | 47,100 | Broad |
| Illinois | 102 | 22.4 | 74.8 | 87.2 | 36,920 | Broad |
| Colorado | 46 | 16.9 | 74.5 | 86.0 | 38,472 | Broad |
| Texas | 162 | 13.3 | 74.1 | 87.4 | 50,271 | Broad |
| Maryland | 40 | 11.9 | 73.5 | 93.6 | 43,393 | Broad |
| Connecticut | 24 | 9.8 | 73.2 | 96.7 | 43,717 | Broad |
| Florida | 136 | 10.7 | 69.0 | 92.1 | 44,399 | Partial |
| Rhode Island | 4 | 2.0 | 68.9 | 88.0 | 76,054 | Partial |
| Minnesota | 72 | 20.0 | 68.6 | 82.0 | 21,985 | Partial |
| Washington | 38 | 11.2 | 67.5 | 84.3 | 54,464 | Partial |
| Virginia | 61 | 10.3 | 66.7 | 83.4 | 36,799 | Partial |
| Nebraska | 15 | 17.5 | 62.6 | 72.5 | 33,304 | Partial |
| Pennsylvania | 79 | 10.8 | 60.9 | 82.4 | 40,641 | Partial |
| Hawaii | 10 | 16.1 | 60.7 | 84.4 | 29,878 | Partial |
| Ohio | 65 | 6.9 | 59.3 | 78.0 | 44,372 | Partial |
| Missouri | 38 | 8.7 | 58.5 | 73.3 | 38,601 | Partial |
| Delaware | 5 | 6.0 | 56.4 | 77.9 | 45,382 | Partial |
| Kansas | 17 | 10.6 | 55.5 | 68.7 | 38,332 | Partial |
| Michigan | 54 | 7.3 | 55.4 | 80.9 | 41,839 | Partial |
| Oregon | 19 | 6.8 | 53.6 | 73.3 | 48,457 | Thin |
| Wisconsin | 38 | 8.7 | 52.9 | 75.0 | 34,510 | Thin |
| New Mexico | 10 | 14.1 | 51.8 | 64.3 | 43,387 | Thin |
| North Dakota | 4 | 11.7 | 51.3 | 57.9 | 42,475 | Thin |
| Idaho | 7 | 7.1 | 50.4 | 65.5 | 51,290 | Thin |
| North Carolina | 57 | 6.5 | 49.6 | 73.5 | 37,275 | Thin |
| Iowa | 22 | 10.0 | 49.6 | 62.8 | 29,652 | Thin |
| Indiana | 32 | 7.2 | 49.4 | 70.8 | 41,919 | Thin |
| Georgia | 51 | 5.7 | 49.2 | 73.7 | 39,342 | Thin |
| Montana | 7 | 12.6 | 47.0 | 59.0 | 30,786 | Thin |
| South Dakota | 6 | 7.7 | 46.5 | 58.0 | 28,316 | Thin |
| Louisiana | 16 | 5.6 | 45.7 | 73.7 | 51,596 | Thin |
| Oklahoma | 15 | 4.9 | 45.7 | 60.4 | 47,559 | Thin |
| Tennessee | 31 | 4.0 | 44.7 | 69.8 | 40,704 | Thin |
| South Carolina | 23 | 4.0 | 43.9 | 73.1 | 40,395 | Thin |
| Alaska | 3 | 2.3 | 41.3 | 51.4 | 37,240 | Thin |
| Alabama | 23 | 3.5 | 39.8 | 65.1 | 34,585 | Thin |
| New Hampshire | 10 | 2.4 | 37.9 | 71.0 | 21,069 | Thin |
| Kentucky | 15 | 5.7 | 36.0 | 56.3 | 43,495 | Thin |
| Arkansas | 9 | 4.2 | 34.4 | 52.8 | 46,056 | Thin |
| Wyoming | 3 | 6.0 | 29.3 | 33.8 | 23,798 | Thin |
| Maine | 6 | 2.4 | 25.6 | 57.5 | 25,469 | Thin |
| West Virginia | 7 | 1.1 | 23.1 | 46.1 | 24,089 | Thin |
| Mississippi | 6 | 1.7 | 18.4 | 36.1 | 35,216 | Thin |
| Vermont | 1 | 1.7 | 16.7 | 30.4 | 45,725 | Thin |
| United States | 2,019 | 13.5 | 64.8 | 81.9 | 41,490 | Partial |
US cities ranked by how many Target stores they hold, most first. Each row carries the city's own store count, the metropolitan area it belongs to, how many Target stores that whole metro holds, how many separate city names the metro spans, and the share of the metro's stores this one city accounts for. A city here is the postal city on a store's address, not a municipal boundary.
| City | State | Target in this city | Metropolitan area it belongs to | Target in that metro | City names in that metro | This city's share of its metro % |
|---|---|---|---|---|---|---|
| Chicago | Illinois | 24 | Chicago-Naperville-Elgin, IL-IN | 87 | 61 | 27.6 |
| Los Angeles | California | 17 | Los Angeles-Long Beach-Anaheim, CA | 128 | 81 | 13.3 |
| Houston | Texas | 16 | Houston-Pasadena-The Woodlands, TX | 41 | 23 | 39.0 |
| New York | New York | 14 | New York-Newark-Jersey City, NY-NJ | 107 | 76 | 13.1 |
| Las Vegas | Nevada | 11 | Las Vegas-Henderson-North Las Vegas, NV | 15 | 3 | 73.3 |
| San Antonio | Texas | 11 | San Antonio-New Braunfels, TX | 14 | 4 | 78.6 |
| San Jose | California | 11 | San Jose-Sunnyvale-Santa Clara, CA | 18 | 8 | 61.1 |
| Austin | Texas | 10 | Austin-Round Rock-San Marcos, TX | 18 | 8 | 55.6 |
| Brooklyn | New York | 10 | New York-Newark-Jersey City, NY-NJ | 107 | 76 | 9.3 |
| Miami | Florida | 10 | Miami-Fort Lauderdale-West Palm Beach, FL | 37 | 24 | 27.0 |
| Philadelphia | Pennsylvania | 10 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 47 | 35 | 21.3 |
| Phoenix | Arizona | 10 | Phoenix-Mesa-Chandler, AZ | 39 | 15 | 25.6 |
| San Diego | California | 10 | San Diego-Chula Vista-Carlsbad, CA | 27 | 13 | 37.0 |
| Dallas | Texas | 9 | Dallas-Fort Worth-Arlington, TX | 53 | 33 | 17.0 |
| Charlotte | North Carolina | 8 | Charlotte-Concord-Gastonia, NC-SC | 17 | 10 | 47.1 |
| Orlando | Florida | 8 | Orlando-Kissimmee-Sanford, FL | 21 | 12 | 38.1 |
| Pittsburgh | Pennsylvania | 8 | Pittsburgh, PA | 19 | 12 | 42.1 |
| Jacksonville | Florida | 7 | Jacksonville, FL | 11 | 5 | 63.6 |
| Sacramento | California | 7 | Sacramento-Roseville-Folsom, CA | 22 | 15 | 31.8 |
| Atlanta | Georgia | 6 | Atlanta-Sandy Springs-Roswell, GA | 38 | 31 | 15.8 |
US metropolitan areas ranked by how many households they contain, biggest first. Each row carries the number of Target stores in that metro and the share of the metro's households within 5, 15 and 30 minutes' drive of one, plus the households reached per store. A metropolitan area, formally a Core Based Statistical Area, is a city plus the surrounding counties that commute into it.
| Metropolitan area | Households in the metro, all | Stores | Households within 5 min % | Households within 15 min % | Households within 30 min % | Households reached within 15 min per store |
|---|---|---|---|---|---|---|
| New York-Newark-Jersey City, NY-NJ | 7,391,787 | 107 | 35.9 | 90.8 | 98.8 | 62,733 |
| Los Angeles-Long Beach-Anaheim, CA | 4,499,409 | 128 | 40.4 | 98.6 | 99.8 | 34,653 |
| Chicago-Naperville-Elgin, IL-IN | 3,643,783 | 87 | 28.3 | 89.0 | 99.0 | 37,291 |
| Dallas-Fort Worth-Arlington, TX | 2,891,725 | 53 | 14.2 | 88.5 | 97.6 | 48,275 |
| Houston-Pasadena-The Woodlands, TX | 2,661,739 | 41 | 14.7 | 84.4 | 97.9 | 54,811 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 2,467,761 | 47 | 19.2 | 85.6 | 98.3 | 44,930 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2,373,022 | 48 | 20.8 | 88.9 | 98.8 | 43,974 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2,334,797 | 37 | 19.3 | 91.6 | 99.5 | 57,833 |
| Atlanta-Sandy Springs-Roswell, GA | 2,313,055 | 38 | 7.1 | 67.3 | 94.9 | 40,955 |
| Boston-Cambridge-Newton, MA-NH | 1,940,688 | 38 | 21.7 | 80.2 | 98.4 | 40,939 |
| Phoenix-Mesa-Chandler, AZ | 1,892,613 | 39 | 15.7 | 89.1 | 97.1 | 43,234 |
| Detroit-Warren-Dearborn, MI | 1,768,816 | 29 | 8.9 | 72.0 | 97.2 | 43,910 |
| San Francisco-Oakland-Fremont, CA | 1,744,070 | 31 | 21.5 | 93.0 | 99.3 | 52,342 |
| Seattle-Tacoma-Bellevue, WA | 1,608,596 | 22 | 13.6 | 83.6 | 98.1 | 61,117 |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1,477,259 | 55 | 26.3 | 87.6 | 98.0 | 23,540 |
| Riverside-San Bernardino-Ontario, CA | 1,450,250 | 32 | 14.3 | 82.2 | 93.2 | 37,243 |
| Tampa-St. Petersburg-Clearwater, FL | 1,330,303 | 20 | 10.4 | 73.4 | 99.0 | 48,802 |
| Denver-Aurora-Centennial, CO | 1,221,636 | 28 | 22.7 | 91.7 | 97.0 | 40,026 |
| San Diego-Chula Vista-Carlsbad, CA | 1,171,278 | 27 | 24.2 | 92.9 | 97.7 | 40,296 |
| St. Louis, MO-IL | 1,160,386 | 24 | 12.8 | 75.5 | 93.4 | 36,504 |
| Baltimore-Columbia-Towson, MD | 1,120,269 | 19 | 11.0 | 75.7 | 98.9 | 44,643 |
| Charlotte-Concord-Gastonia, NC-SC | 1,076,260 | 17 | 6.2 | 67.0 | 91.9 | 42,403 |
| Pittsburgh, PA | 1,061,705 | 19 | 8.3 | 65.0 | 90.9 | 36,337 |
| Orlando-Kissimmee-Sanford, FL | 1,022,315 | 21 | 10.6 | 75.9 | 98.2 | 36,953 |
| Portland-Vancouver-Hillsboro, OR-WA | 1,010,265 | 15 | 9.3 | 74.0 | 92.7 | 49,872 |
The full table, with every measure the 15-minute headline is drawn from: household counts and their margin of error, population, Trade Area Buying Power, average household income, the Income Capture Ratio, self-overlap and the share of reached households with no vehicle. The MOE column is the American Community Survey's own 90% margin of error, propagated through the apportionment.
| Drive time | US households % | Households | MOE ± | Population | Household income $tn | Avg income $ | Income Capture Ratio | Self-overlap % | Carless % |
|---|---|---|---|---|---|---|---|---|---|
| 5 min | 13.5 | 17,474,639 | 29,458 | 43,385,469 | 2.13 | 121,770 | 1.073 | 15.5 | 16.8 |
| 10 min | 45.1 | 58,298,023 | 54,786 | 149,848,897 | 7.04 | 120,813 | 1.064 | 42.6 | 11.0 |
| 15 min | 64.8 | 83,767,613 | 66,293 | 217,009,346 | 10.12 | 120,759 | 1.064 | 67.3 | 9.8 |
| 20 min | 73.5 | 95,011,911 | 70,560 | 246,867,383 | 11.45 | 120,530 | 1.062 | 78.9 | 9.3 |
| 25 min | 78.5 | 101,369,361 | 72,687 | 263,771,796 | 12.18 | 120,119 | 1.058 | 83.7 | 9.0 |
| 30 min | 81.9 | 105,796,238 | 74,037 | 275,402,149 | 12.64 | 119,485 | 1.053 | 86.5 | 8.9 |
These figures may be quoted with attribution. A named metric such as Household Reach or Income Capture Ratio should carry its definition and drive-time band, because the number is not meaningful without them.
ScrapeHero. "Target Store Locations in the USA: Count, Drive-Time Reach and Trade-Area Demographics (2026)." ScrapeHero Target Dataset, 24 September 2026; American Community Survey 2024 5-year estimates. https://www.scrapehero.com/research/trade-area-studies/target-usa/
This page is the summary. The data is the product. Every figure above is an aggregate. The underlying dataset has one row per location, carrying addresses, coordinates and attributes, for Target and other US chains, refreshed on a schedule: https://www.scrapehero.com/store/
Plain definitions for the vocabulary of retail location analysis and site selection. Each term is used somewhere above.