Remaining BEAD Locations Are in Denser, But Still Low-Density, Areas

BEAD
funding
policy
Areas where BEAD locations are situated average 41% more dense than the older, larger set of eligible locations from the latest FCC data but are still 85% less dense than the typical area for a served location.
Author

Alex Karras, Michael Santorelli

Published

August 27, 2025

Key Takeaways

  • The ACLP recently released an analysis of BEAD BOTB data showing that the number of locations eligible for BEAD has decreased notably since the program’s inception.
  • Building on those findings, the ACLP utilized eligible location lists in 48 states (necessary data for SC & WV has not been made available) to analyze how the density of areas where eligible locations are situated has changed over time.
  • The areas where these locations are situated average 41% more dense than the older, larger set of eligible locations from the latest FCC data but are still 85% less dense than the typical area for a served location.
  • This means that some of the costliest-to-serve locations, those in very-low-density areas, have been served or otherwise removed from BEAD eligibility, but remaining areas are still much less dense than typical served areas.

BSL Density

One proxy for estimating how much the cost-to-serve eligible locations might have changed over time is by measuring the BSL density in the areas in which they are located (i.e., distance between locations). In general, it is more expensive to serve low-density areas, where locations are farther apart, than it is to serve areas with locations that are closer together, like in a city or suburb. This generally holds true for most terrestrial networks, which benefit from economies of scale and scope. Density is probably less important for LEO satellite. Indeed, LEO might even benefit from serving less dense areas, allowing it to spread its finite capacity over fewer customers in certain areas.

The FCC’s BDC data provides a hexagonal geographic grid system called H3, which allows for a straightforward calculation of density, by looking the number of BSLs in a given geographic hexagon. At the H3’s “8” resolution (i.e., hexagon size “8”), a given hexagon has an area of about 0.3 square miles. For each size 8 hexagon, we counted the number of BSLs present. Then, we computed an average density across all eligible locations. In other words, we calculated how dense an area each eligible location is in, then took an average across all eligible locations, yielding the average density of areas in which eligible locations are situated.

For this analysis, we utilized three lists of eligible locations:

  • FCC Data – Eligible locations identified as those in the December 31, 2024 FCC BDC data where no service was available from a terrestrial (non-satellite) technology with speeds greater than or equal to 100Mbps download and 20Mbps upload, and marked as “low latency.”
  • Post Challenge Locations – Aggregated as part of our analysis of state location lists released following the BEAD Challenge Process.
  • Benefit of the Bargain Locations – Aggregated as part of our analysis of state location lists as part of the Benefit of the Bargain process.

Results

Nationwide, the density of areas where eligible locations are situated increased by 42% between December 2024 FCC data (the latest available) and the most recent “Benefit of the Bargain” (BOTB) location lists published by the states. In other words, remaining eligible locations are in denser areas, meaning that some of the costliest low-density locations have been removed from eligibility. This can be for a variety of reasons, including new service, enforceable commitments, challenges by ISPs, and updates/corrections to FCC data.

This effect is not consistent across states—instead, the average density of areas where eligible locations are situated has increased in 32 states and decreased in 16. States which saw a smaller percent change likely have seen the characteristics of eligible locations remain similar even as their number has shrunk. On the other hand, states with larger percent change likely have seen a shift in what the typical eligible location looks like as a consequence of less total eligible locations.

In addition, the average density of areas with eligible locations varies widely by state, highlighting the varying market dynamics which will determine which technologies bring service to remaining eligible locations. For example, states like Arizona, Florida, and Rhode Island have their eligible locations in much denser areas than Maine, Nebraska, and Vermont.

A much smaller change was observed between post-challenge and BOTB location lists. In most states, changes in density were minimal. Those states where a large change was observed tended to have few locations, and thus the nationwide average went unchanged between post-challenge and BOTB lists.

While an increase in density was observed, the density of areas with eligible locations is still 85% less dense than the average area with served locations. In other words, while cost-to-serve may have decreased somewhat, these areas are still lower-density compared to the typical broadband serviceable location in the country, and thus likely still more expensive to serve.

Table 1 below shows, by state and nationwide, the average density of BSLs in locations where BEAD eligible locations are situated. For comparison, an average density for served locations as of the latest FCC data is also provided. Table 2 shows the difference in density compared to eligible locations identified in December 31, 2024 FCC data, and to served location density.

Of note, the nationwide “USA” figures do not include South Carolina or West Virginia, as post-challenge locations were not made public for West Virginia, and BOTB locations were not made public for South Carolina.

Table 1: Average BSL Density Among Eligible Locations
State FCC Served FCC Eligible Post Challenge Eligible BoTB Eligible
USA 317 33 46 46
AK 182 44 34 34
AL 150 23 32 32
AR 159 22 28 29
AZ 462 89 201 201
CA 511 67 71 72
CO 385 28 37 37
CT 219 73 67 63
DE 303 72 72 71
FL 299 69 92 106
GA 172 29 37 38
HI 375 37 30 34
IA 226 17 22 23
ID 263 34 34 32
IL 376 29 34 33
IN 237 28 40 34
KS 264 19 26 20
KY 189 16 34 34
LA 273 41 60 53
MA 294 45 70 64
MD 383 61 105 28
ME 109 14 13 13
MI 280 32 34 34
MN 229 20 22 19
MO 250 22 29 29
MS 135 30 28 28
MT 201 34 32 27
NC 150 23 23 23
ND 197 59 24 28
NE 280 22 25 9
NH 121 16 31 25
NJ 412 75 93 93
NM 327 37 36 36
NV 550 94 92 78
NY 446 22 25 26
OH 286 26 58 59
OK 249 45 25 24
OR 335 26 29 30
PA 471 21 25 25
RI 349 96 191 122
SD 188 21 22 22
TN 165 21 25 24
TX 345 36 46 46
UT 344 39 49 49
VA 228 23 33 33
VT 95 15 17 17
WA 300 38 37 34
WI 238 19 20 19
WY 227 27 25 27
Table 2: Eligible Location Area Density Compared to FCC 2024-12-31 Data
State Vs. FCC Eligible Vs. FCC Served
USA 41% -85%
AK -23% -81%
AL 42% -79%
AR 29% -82%
AZ 126% -56%
CA 9% -86%
CO 34% -90%
CT -14% -71%
DE -1% -77%
FL 53% -65%
GA 29% -78%
HI -6% -91%
IA 34% -90%
ID -5% -88%
IL 16% -91%
IN 18% -86%
KS 2% -92%
KY 112% -82%
LA 30% -81%
MA 42% -78%
MD -55% -93%
ME -9% -88%
MI 4% -88%
MN -5% -92%
MO 32% -88%
MS -5% -79%
MT -22% -87%
NC 1% -84%
ND -52% -86%
NE -59% -97%
NH 53% -79%
NJ 23% -77%
NM -3% -89%
NV -17% -86%
NY 19% -94%
OH 123% -80%
OK -45% -90%
OR 14% -91%
PA 14% -95%
RI 26% -65%
SD 3% -89%
TN 14% -86%
TX 25% -87%
UT 28% -86%
VA 48% -85%
VT 10% -82%
WA -10% -89%
WI 1% -92%
WY 3% -88%