Places/County growth report
Computed report · BEA CAGDP1

Fastest-growing U.S. county economies, 2016–2024

Ranked by real GDP compound annual growth (chained dollars — production growth net of price change). Counties must clear a $5 billion nominal-GDP floor in both 2016 and 2024 to reduce small-base distortion; real GDP must be positive and present at all four measured years.

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Data through 2024 · retrieved 2026-10-16
Source counties
3,127
Eligible (fixed universe)
536
Excluded
2,591
Published ranks
25

Top 25 by real GDP CAGR, 2016–2024

Each row plots three measurement windows. Filled dot = 2016–2024 (primary). Circle = 2019–2024. Diamond = 2020–2024 (pandemic rebound). Hover or tap a row for detail.

2016–2024 (primary)
2019–2024
2020–2024 (pandemic rebound)
0%2%4%6%8%10%12%14%1Midland, TX10.6%2Guadalupe, TX9.2%3San Mateo, CA7.9%4Hays, TX7.3%5Williamson, TX7.1%6St. Johns, FL7.1%7Gallatin, MT7.1%8Rensselaer, NY6.9%9Canyon, ID6.6%10Utah, UT6.5%11Denton, TX6.4%12Montgomery, TX6.2%13King, WA6.1%14Comal, TX6.1%15Dallas, IA6.0%16Washington, UT5.9%17Collin, TX5.9%18Osceola, FL5.9%19Pinal, AZ5.9%20Travis, TX5.8%21Berkeley, SC5.6%22Benton, AR5.6%23Brevard, FL5.4%24Pasco, FL5.4%25Fort Bend, TX5.4%Real GDP CAGR (%)

The ranking

Real (chained-dollar) GDP measures production net of price change. Nominal GDP is shown only as an economy-size field and never enters the ranking. Rank spread is the gap between a county's best and worst rank across the three windows — 0 means it ranks the same no matter which years you measure; a large spread means its position depends on the window (often a pandemic-rebound artifact), so read its rank with more caution.

RankCountyReal CAGR 2016–2024Real CAGR 2019–2024Real CAGR 2020–2024Rank spreadGDP 2024 (nominal, size)
1Midland, TX
US-48329
10.63%6.34% (#15)10.07% (#3)14$41.5B
2Guadalupe, TX
US-48187
9.21%10.76% (#2)12.63% (#2)0$14.5B
3San Mateo, CA
US-06081
7.87%6.42% (#13)7.02% (#21)18$217.0B
4Hays, TX
US-48209
7.34%6.82% (#9)8.48% (#7)5$15.3B
5Williamson, TX
US-48491
7.13%7.68% (#3)7.88% (#11)8$44.6B
6St. Johns, FL
US-12109
7.07%7.52% (#5)7.73% (#12)7$18.6B
7Gallatin, MT
US-30031
7.05%7.32% (#6)8.57% (#6)1$11.9B
8Rensselaer, NY
US-36083
6.90%7.18% (#7)6.86% (#27)20$15.5B
9Canyon, ID
US-16027
6.63%6.22% (#19)7.15% (#17)10$11.7B
10Utah, UT
US-49049
6.55%5.63% (#27)5.82% (#58)48$47.9B
11Denton, TX
US-48121
6.42%6.70% (#11)5.76% (#63)52$64.3B
12Montgomery, TX
US-48339
6.22%4.86% (#49)5.72% (#65)53$50.1B
13King, WA
US-53033
6.14%4.97% (#44)5.78% (#62)49$477.2B
14Comal, TX
US-48091
6.10%6.80% (#10)6.78% (#30)20$12.1B
15Dallas, IA
US-19049
5.96%7.55% (#4)7.03% (#20)16$11.1B
16Washington, UT
US-49053
5.95%5.13% (#39)5.10% (#92)76$11.6B
17Collin, TX
US-48085
5.95%6.68% (#12)7.50% (#15)5$115.4B
18Osceola, FL
US-12097
5.92%5.89% (#24)8.32% (#8)16$20.4B
19Pinal, AZ
US-04021
5.90%7.01% (#8)7.69% (#13)11$16.3B
20Travis, TX
US-48453
5.83%6.12% (#21)6.99% (#22)2$202.7B
21Berkeley, SC
US-45015
5.61%6.36% (#14)7.89% (#10)11$14.3B
22Benton, AR
US-05007
5.59%6.24% (#18)6.45% (#39)21$26.1B
23Brevard, FL
US-12009
5.41%5.75% (#25)6.94% (#24)2$43.5B
24Pasco, FL
US-12101
5.37%6.30% (#16)7.52% (#14)10$24.2B
25Fort Bend, TX
US-48157
5.37%4.49% (#67)5.88% (#55)42$49.6B

How this was computed

  1. Fix one eligibility universe for every window: real GDP (BEA CAGDP1, chained dollars) positive and present at 2016, 2019, 2020, and 2024; nominal GDP (BEA CAGDP2, current dollars) at least $5.0B in both 2016 and 2024. The nominal floor never applies to a chained-dollar value.
  2. Compute real CAGR = (real GDPlatest ÷ real GDPbase)^(1 ÷ years) − 1 for three windows: 2016–2024 (primary, 8 years), 2019–2024 (5 years), and 2020–2024 (4 years).
  3. Rank each window independently over the same eligible universe; full floating-point precision drives ordering, not the rounded display value. Rank spread is the difference between a county's highest and lowest rank across the three windows — a transparent robustness diagnostic, not a weighted score.
  4. Sort by the primary (2016–2024) rank, break exact ties by larger 2024 nominal GDP then ascending FIPS, and publish the first 25.

Coverage and limitations

536 of 3127 source counties met the fixed real-GDP + nominal-floor universe; 2591 were excluded — 2,568 by the $5.0B size floor, 23 because BEA publishes no usable real-GDP value for one of the four measured years, and 0 missing a nominal endpoint.

Nearly all exclusions are the size floor, by design, and county GDP is highly concentrated: the 536 eligible counties account for 84.1% of total 2024 nominal GDP across all 3,127 source counties. Without a floor, a compound-growth ranking is dominated by tiny economies where one plant opening or oil lease doubles the base — the floor trades a small slice of activity for a ranking whose movements reflect real economic change.

The 2020–2024 window starts in the pandemic year, so it can show large rebound effects unrelated to a county's longer-run trajectory — that is why it is shown as a secondary robustness field, not the primary ranking. BEA revises historical GDP values in later releases, so exact figures and ranks can shift on the next data vintage.

Real GDP is inflation-adjusted, chained-dollar output produced within a county. It does not measure resident income, population growth, affordability, or household prosperity.

Related: The Most Oil-Dependent Counties in America — a different lens on county economies: ranked by concentration (share of GDP in one industry) rather than growth rate. The two top-25 lists don't overlap — growth here is led by large, diversifying metros, not the small, single-industry counties that top the oil-dependence ranking.

Source: U.S. Bureau of Economic Analysis, CAGDP1 real (chained-dollar) county GDP summary and CAGDP2 nominal county GDP, all industries. Ranking, CAGR, and rank-spread calculated by Economic Atlas.