Do States with Faster Personal-Income Growth Also See More Business Applications?

Fixed edition analyzed September 16, 2026. BEA Regional SAINC1 personal income and per capita personal income for 2021–2025 (API note: last updated April 9, 2026 — new 2025; revised 2020–2024), current dollars. Census Business Formation Statistics business applications (BA, not seasonally adjusted) summed to calendar years 2021–2025. Correlation check only — not a ranking and not causation.

U.S. personal income rose +4.9% from 2024 to 2025, while Americans filed 5,671,836 business applications in calendar 2025 (+8.6% from 2024). Do the states with the fastest income growth also post the fastest application growth?

Mostly no. Across 50 states and D.C., the 2024→2025 Pearson correlation between personal-income growth and business-application growth is +0.09 (Spearman +0.05). That is a near-zero association — the same humble framing as our state migration vs business formation study. Income growth and application filings can both rise nationally without lining up state by state.

What we compared

  • Income: BEA table SAINC1 line 1 (personal income, millions of current dollars) and line 3 (per capita personal income). Not inflation-adjusted; see Methods for the optional real-income check on earlier years.
  • Applications: Census BFS monthly BA, non-seasonally adjusted, summed to calendar years so the clock matches annual income — the same CY approach as the migration study, not the Aug–Jul rolling window on our business formation statistics page.
  • Metric: Year-over-year percent change, then scatter and rank correlation. We also report results without Wyoming and Delaware, whose extreme per-capita application rates are discussed on the formation page.

The latest year barely agrees

Scatter plot of 2024 to 2025 state personal income growth versus Census business application growth
Each point is a state or D.C. The orange line is a simple OLS fit (r = 0.09). Correlation is not causation.

Removing Wyoming and Delaware still leaves a weak link (r = +0.20, ρ = +0.15, n = 49). Per capita personal income growth is no better as a predictor of application growth (r = +0.11).

In 2024→2025, 50 of 51 jurisdictions saw both income and applications rise. Only Indiana posted rising income with falling applications (-0.7% apps). Shared national direction is not the same as aligned state rankings.

The association is unstable across years

Bar chart of Pearson and Spearman correlations between personal income growth and business application growth for four year-over-year windows
Primary window highlighted: 2024→2025 near zero. Earlier windows are not interchangeable with the latest year.
Window Pearson r (ΔPI vs Δapps) Spearman ρ Pearson r (ΔPCPI vs Δapps) n
2021→2022 +0.61 +0.60 +0.66 51
2022→2023 -0.21 -0.22 -0.22 51
2023→2024 +0.04 -0.06 +0.07 51
2024→2025 +0.09 +0.05 +0.11 51
Pooled panel +0.33 +0.23 204

2021→2022 shows a moderate positive association; 2022→2023 flips mildly negative; the two most recent windows sit near zero. A pooled panel average (r ≈ 0.33) still does not justify treating income growth as a formation ranking signal.

Bar chart comparing U.S. personal income year-over-year percent change with U.S. business application year-over-year percent change
National totals: income and applications both move, but not always in the same direction or magnitude year to year.

Where the rankings diverge

Horizontal bar chart of states with the largest gaps between income-growth rank and application-growth rank
Rank gap = applications-growth rank minus income-growth rank (1 = fastest). Negative gaps mean applications ranked much higher than income growth.
State PI growth PI rank Apps growth Apps rank Rank gap
Wyoming +4.1% #47 +22.6% #2 -45
Delaware +5.6% #6 +1.1% #49 +43
South Dakota +5.9% #2 +5.2% #40 +38
Nevada +5.3% #12 +3.4% #46 +34
Wisconsin +4.4% #43 +15.1% #9 -34
Missouri +4.5% #36 +19.2% #3 -33

Wyoming’s application surge alongside middling income growth — and Delaware’s stronger income growth alongside soft application growth — fit the measurement caveats on our formation statistics page: BFS counts applications, not local employer births.

All 50 states and D.C. (2024→2025)

Download the CSV: personal-income-vs-business-formation-2024-2025.csv. State names link to state hubs.

State PI 2024 ($M) PI 2025 ($M) PI YoY PCPI YoY Apps 2024 Apps 2025 Apps YoY Rank gap
Hawaii 102,703.8 109,742.4 +6.8% +7.0% 18,014 19,558 +8.6% 26
South Dakota 69,996.3 74,150.0 +5.9% +5.0% 11,494 12,092 +5.2% 38
North Carolina 724,994.6 767,182.6 +5.8% +4.4% 163,580 182,653 +11.7% 11
Kansas 195,633.0 206,945.7 +5.8% +5.4% 31,982 37,534 +17.4% 2
South Carolina 332,982.7 351,926.0 +5.7% +4.2% 86,364 94,104 +9.0% 20
Delaware 71,594.2 75,635.2 +5.6% +4.7% 59,463 60,132 +1.1% 43
New Mexico 124,086.2 131,026.8 +5.6% +5.7% 34,673 40,758 +17.6% -2
Idaho 124,746.7 131,619.9 +5.5% +4.0% 31,144 33,267 +6.8% 23
Washington 677,934.6 715,263.1 +5.5% +4.5% 110,542 142,196 +28.6% -8
California 3,400,237.3 3,585,890.9 +5.5% +5.5% 517,133 553,931 +7.1% 20
Oklahoma 260,910.2 274,858.0 +5.3% +4.7% 53,645 56,855 +6.0% 25
Nevada 228,086.6 240,111.7 +5.3% +4.3% 62,655 64,781 +3.4% 34
Tennessee 480,671.2 505,698.3 +5.2% +4.3% 90,327 103,220 +14.3% -3
Montana 78,741.6 82,807.2 +5.2% +4.5% 26,939 29,887 +10.9% 1
North Dakota 57,153.4 60,077.4 +5.1% +4.3% 8,455 8,912 +5.4% 22
Florida 1,706,305.7 1,793,464.1 +5.1% +4.2% 634,356 647,734 +2.1% 31
Mississippi 153,256.4 161,093.5 +5.1% +5.0% 46,805 52,467 +12.1% -4
Texas 2,184,833.3 2,294,646.6 +5.0% +3.7% 490,959 544,146 +10.8% -2
Nebraska 145,798.5 153,082.3 +5.0% +4.3% 20,862 22,876 +9.7% 1
New Hampshire 117,220.3 123,076.5 +5.0% +4.5% 15,977 17,046 +6.7% 13
Utah 235,907.4 247,691.4 +5.0% +3.9% 68,471 72,787 +6.3% 13
Arkansas 183,201.8 192,345.6 +5.0% +4.4% 36,365 39,512 +8.7% 4
Rhode Island 78,553.7 82,465.2 +5.0% +4.6% 11,226 11,800 +5.1% 18
Georgia 704,463.9 738,993.1 +4.9% +4.0% 243,084 254,582 +4.7% 20
Pennsylvania 924,379.6 969,412.5 +4.9% +4.8% 147,457 161,275 +9.4% -3
Alabama 295,590.5 309,906.4 +4.8% +4.2% 65,324 70,466 +7.9% 3
Alaska 56,423.1 59,110.5 +4.8% +4.7% 9,130 10,531 +15.3% -19
Colorado 494,798.6 518,167.9 +4.7% +4.3% 130,718 143,807 +10.0% -9
Maine 96,850.3 101,392.7 +4.7% +4.2% 14,118 14,186 +0.5% 21
Iowa 211,425.4 221,266.3 +4.7% +4.4% 32,113 35,038 +9.1% -7
Virginia 681,552.2 712,992.6 +4.6% +3.9% 126,386 138,762 +9.8% -11
Kentucky 267,297.9 279,513.8 +4.6% +4.0% 54,138 64,042 +18.3% -28
New York 1,699,680.0 1,777,164.5 +4.6% +4.5% 291,884 301,047 +3.1% 14
Minnesota 437,981.9 457,907.5 +4.5% +4.0% 67,673 73,825 +9.1% -10
Ohio 766,045.8 800,799.1 +4.5% +4.2% 145,662 168,207 +15.5% -28
Missouri 405,457.2 423,808.7 +4.5% +4.1% 85,028 101,393 +19.2% -33
Illinois 947,182.8 989,192.4 +4.4% +4.3% 171,362 189,879 +10.8% -21
New Jersey 806,558.7 842,372.2 +4.4% +4.0% 153,020 161,138 +5.3% 1
West Virginia 97,970.7 102,315.6 +4.4% +4.5% 15,167 16,387 +8.0% -11
Connecticut 349,377.1 364,716.0 +4.4% +4.0% 46,736 49,834 +6.6% -7
Massachusetts 667,993.0 697,205.3 +4.4% +4.2% 75,426 79,139 +4.9% 1
Michigan 645,846.8 674,070.6 +4.4% +4.1% 134,838 152,060 +12.8% -31
Wisconsin 403,888.3 421,498.1 +4.4% +4.1% 62,118 71,475 +15.1% -34
Arizona 498,903.6 520,574.1 +4.3% +3.4% 121,271 135,679 +11.9% -31
Indiana 443,688.8 462,278.6 +4.2% +3.6% 90,375 89,768 -0.7% 6
Oregon 302,582.3 314,868.7 +4.1% +3.9% 59,813 62,652 +4.8% -3
Wyoming 50,815.4 52,873.5 +4.0% +3.7% 64,444 79,023 +22.6% -45
Vermont 46,229.3 48,079.2 +4.0% +4.3% 7,295 7,575 +3.8% -3
Louisiana 284,587.2 295,288.3 +3.8% +3.7% 68,514 75,620 +10.4% -31
Maryland 496,413.9 512,715.9 +3.3% +3.0% 95,446 101,253 +6.1% -15
District of Columbia 78,079.5 80,546.6 +3.2% +2.8% 14,205 14,945 +5.2% -12

What this can and cannot tell you

  • Correlation is not cause. Coefficients are reported with sample size. A value near 0.1 is a weak association, not a mechanism.
  • Current dollars. SAINC1 personal income is not inflation-adjusted. Real personal income (BEA SARPI) was available through 2024 in this pull and does not change the weak-link conclusion for those earlier windows.
  • Applications ≠ employers or LLCs. BFS BA is EIN filing intent. Most applications never become employer businesses; see business formation statistics for conversion context and business survival rates by state for later outcomes.
  • Different question than migration. Household moves (IRS) and personal-income growth (BEA) are related but not the same. Both pair weakly with application growth in their respective matched windows.
  • Labor market sibling. For whether unemployment changes track service payroll hiring, see unemployment vs service hiring by state.
  • Price-level sibling. For BEA SARPP regional price parities vs OEWS wages and NDCP daycare prices (purchasing-power check), see regional price parities vs wages and daycare.

Industry context: cleaning, landscaping, HVAC, and daycare industry statistics.

Methods (short)

BEA API Regional / SAINC1 lines 1 and 3 for years 2021–2025; percent changes matched to Census BFS calendar-year BA sums (NSA series filters matching prior SBL BFS pulls; CY2023 U.S. total 5,469,302 matches the migration study). Primary window 2024→2025; panel also 2021→2022 through 2023→2024. Full documentation: methods notes in the study work folder.

Sources

Data Source Vintage
State personal income & PCPI BEA Regional SAINC1 (API) 2021–2025; API note Apr 9, 2026
Real personal income (optional) BEA Regional SARPI 2021–2024 in this pull
Business applications (BA) U.S. Census Bureau, Business Formation Statistics CY2021–CY2025 monthly NSA sums