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Field notes · Census Building Permits Survey

Who Actually
Builds Housing

A permit is the moment a home stops being a plan and becomes a legal possibility - the earliest hard number on where America is letting housing get built. Read per resident instead of in raw counts, the map turns strange: the places approving the most homes are mid-size Sun Belt and Mountain West metros most people cannot name, while the coastal cities where a house costs a fortune permit almost nothing at all. This is the supply side of affordability, stamped one form at a time.

1.51M housing units permitted, 2024 ~390 metro areas tracked Illustrative
1.51M
Housing units permitted, 2024
14.4/1k
Top metro rate (Myrtle Beach)
4.5×
Boomtown vs frozen-metro gap
33%
Of new units are apartments (5+)
A-01

Where Homes Get Approved

Units per 1,000 residents

Shade the country by supply rate - housing units authorized per 1,000 residents, not raw count - and a diagonal appears. A dark band of permitting runs from the Mountain West down through the Carolinas and Florida. The palest states are the coastal Northeast and the industrial Midwest: large, established populations clearing remarkably few new homes. Raw counts would hide this; per capita is the lens that makes a big slow state and a small fast one comparable.

Alabama: 4.8 per 1,000 (24,000 units) Alaska: 1.9 per 1,000 (1,400 units) Arizona: 6.8 per 1,000 (51,000 units) Colorado: 5.9 per 1,000 (35,000 units) Florida: 8.1 per 1,000 (185,000 units) Georgia: 6.2 per 1,000 (68,000 units) Indiana: 3.9 per 1,000 (27,000 units) Kansas: 3.8 per 1,000 (11,000 units) Maine: 3.5 per 1,000 (4,900 units) Massachusetts: 2.7 per 1,000 (19,000 units) Minnesota: 4.4 per 1,000 (25,000 units) New Jersey: 2.6 per 1,000 (24,000 units) North Carolina: 7.0 per 1,000 (76,000 units) North Dakota: 5.0 per 1,000 (3,900 units) Oklahoma: 4.6 per 1,000 (18,500 units) Pennsylvania: 2.2 per 1,000 (28,000 units) South Dakota: 5.6 per 1,000 (5,100 units) Texas: 8.4 per 1,000 (255,000 units) Wyoming: 3.1 per 1,000 (1,800 units) Connecticut: 2.1 per 1,000 (7,600 units) Missouri: 3.6 per 1,000 (22,000 units) West Virginia: 1.5 per 1,000 (2,700 units) Illinois: 1.8 per 1,000 (22,000 units) New Mexico: 3.3 per 1,000 (7,000 units) Arkansas: 4.0 per 1,000 (12,000 units) California: 2.8 per 1,000 (110,000 units) Delaware: 6.4 per 1,000 (6,500 units) District of Columbia: 4.2 per 1,000 (2,900 units) Hawaii: 2.4 per 1,000 (3,400 units) Iowa: 3.6 per 1,000 (11,500 units) Kentucky: 3.4 per 1,000 (15,500 units) Maryland: 3.1 per 1,000 (19,000 units) Michigan: 2.5 per 1,000 (25,000 units) Mississippi: 2.9 per 1,000 (8,500 units) Montana: 6.1 per 1,000 (6,800 units) New Hampshire: 4.1 per 1,000 (5,800 units) New York: 1.9 per 1,000 (37,000 units) Ohio: 2.7 per 1,000 (32,000 units) Oregon: 4.3 per 1,000 (18,000 units) Tennessee: 6.6 per 1,000 (47,000 units) Utah: 9.8 per 1,000 (34,000 units) Virginia: 4.7 per 1,000 (41,000 units) Washington: 5.0 per 1,000 (39,000 units) Wisconsin: 3.5 per 1,000 (21,000 units) Nebraska: 4.5 per 1,000 (9,000 units) South Carolina: 8.6 per 1,000 (45,000 units) Idaho: 9.2 per 1,000 (18,000 units) Nevada: 6.0 per 1,000 (19,000 units) Vermont: 3.0 per 1,000 (1,950 units) Louisiana: 3.2 per 1,000 (14,500 units) Rhode Island: 2.0 per 1,000 (2,200 units)
Units per 1,000 residents
  • < 3.0
  • 3.0 - 4.5
  • 4.5 - 6.0
  • 6.0 - 8.0
  • 8.0 +
U.S. avg ~4.5

Fig. A-01 · Choropleth, 51 jurisdictions, single-hue mauve density ramp. Hover a state for its rate and unit count; the ranked table below carries every value so the reading never rests on colour alone. Illustrative stand-in figures.

All 51 jurisdictions, ranked (data table)
StatePer 1,000UnitsMultifamilyRate
Utah 9.8 34,000 42%
Idaho 9.2 18,000 28%
South Carolina 8.6 45,000 30%
Texas 8.4 255,000 40%
Florida 8.1 185,000 38%
North Carolina 7.0 76,000 34%
Arizona 6.8 51,000 35%
Tennessee 6.6 47,000 36%
Delaware 6.4 6,500 25%
Georgia 6.2 68,000 37%
Montana 6.1 6,800 28%
Nevada 6.0 19,000 30%
Colorado 5.9 35,000 45%
South Dakota 5.6 5,100 35%
Washington 5.0 39,000 44%
North Dakota 5.0 3,900 40%
Alabama 4.8 24,000 26%
Virginia 4.7 41,000 34%
Oklahoma 4.6 18,500 28%
Nebraska 4.5 9,000 33%
Minnesota 4.4 25,000 45%
Oregon 4.3 18,000 42%
District of Columbia 4.2 2,900 90%
New Hampshire 4.1 5,800 32%
Arkansas 4.0 12,000 27%
Indiana 3.9 27,000 30%
Kansas 3.8 11,000 30%
Iowa 3.6 11,500 34%
Missouri 3.6 22,000 35%
Wisconsin 3.5 21,000 36%
Maine 3.5 4,900 25%
Kentucky 3.4 15,500 28%
New Mexico 3.3 7,000 25%
Louisiana 3.2 14,500 24%
Maryland 3.1 19,000 38%
Wyoming 3.1 1,800 22%
Vermont 3.0 1,950 30%
Mississippi 2.9 8,500 20%
California 2.8 110,000 55%
Massachusetts 2.7 19,000 55%
Ohio 2.7 32,000 34%
New Jersey 2.6 24,000 52%
Michigan 2.5 25,000 34%
Hawaii 2.4 3,400 45%
Pennsylvania 2.2 28,000 40%
Connecticut 2.1 7,600 48%
Rhode Island 2.0 2,200 40%
Alaska 1.9 1,400 30%
New York 1.9 37,000 62%
Illinois 1.8 22,000 42%
West Virginia 1.5 2,700 20%
A-02

A Country That Clusters Low

States by supply rate

Line the 51 jurisdictions up by how many homes each permits per resident and the shape is lopsided: a thick stack of below-average states, then a thinning above-average tail of fast builders. 31 of 51 sit under the U.S. average; the median jurisdiction (Indiana) permits about 3.9 per 1,000. The country's housing supply is decided by a small number of outliers.

0 4 8 12 U.S. avg 4.5 1-2 per 1,000: 4 states 4 1 2-3 per 1,000: 10 states 10 2 3-4 per 1,000: 12 states 12 3 4-5 per 1,000: 9 states 9 4 5-6 per 1,000: 4 states 4 5 6-7 per 1,000: 6 states 6 6 7-8 per 1,000: 1 states 1 7 8-9 per 1,000: 3 states 3 8 9-10 per 1,000: 2 states 2 9 Housing units permitted per 1,000 residents (bin lower bound)
  • Below U.S. average
  • At or above average

Fig. A-02 · Each column counts the states whose supply rate falls in that unit-wide band. Bar caps are direct-labelled with the state count. Illustrative stand-in figures.

A-03

The Metro Leaderboard

Top builders, per resident

The same 25 metros, ranked by units permitted per 1,000 residents, each bar split into single-family and multifamily (5+ units) so rank and building shape read at once. The order is the whole argument: the leaders are mid-size Sun Belt and Mountain West metros, and the biggest, costliest coastal names sink to the bottom. Rank runs opposite to price.

  1. 01 Myrtle Beach, SC 14.4
  2. 02 Provo-Orem, UT 11.1
  3. 03 Boise City, ID 10.5
  4. 04 Raleigh-Cary, NC 10.1
  5. 05 Austin-Round Rock, TX 9.9
  6. 06 Jacksonville, FL 9.1
  7. 07 Nashville-Davidson, TN 9.0
  8. 08 Charlotte-Concord, NC 8.6
  9. 09 Orlando-Kissimmee, FL 8.5
  10. 10 Phoenix-Mesa, AZ 8.0
  11. 11 Houston-The Woodlands, TX 7.7
  12. 12 Dallas-Fort Worth, TX 7.7
  13. 13 Tampa-St. Petersburg, FL 7.6
  14. 14 Atlanta-Sandy Springs, GA 6.7
  15. 15 Denver-Aurora, CO 6.4
  16. 16 Seattle-Tacoma, WA 6.0
  17. 17 Minneapolis-St. Paul, MN 4.9
  18. 18 Miami-Fort Lauderdale, FL 4.6
  19. 19 Washington-Arlington, DC 3.3
  20. 20 Boston-Cambridge, MA 2.7
  21. 21 New York-Newark, NY 2.2
  22. 22 Philadelphia-Camden, PA 2.2
  23. 23 San Francisco-Oakland, CA 2.0
  24. 24 Los Angeles-Long Beach, CA 1.7
  25. 25 Chicago-Naperville, IL 1.5

Fig. A-03 · Bar length is the supply rate; the mauve share is multifamily. Full counts in the table below. Illustrative stand-in figures.

Full metro table (units, single, multifamily)
MetroPer 1,000Total unitsSingle-famMultifamilyMulti %
Myrtle Beach, SC 14.4 7,500 5,500 1,700 23%
Provo-Orem, UT 11.1 8,000 4,200 3,500 44%
Boise City, ID 10.5 8,500 5,000 3,000 35%
Raleigh-Cary, NC 10.1 15,000 8,500 6,000 40%
Austin-Round Rock, TX 9.9 24,000 12,000 11,000 46%
Jacksonville, FL 9.1 15,500 9,500 5,500 35%
Nashville-Davidson, TN 9.0 19,000 10,000 8,500 45%
Charlotte-Concord, NC 8.6 24,000 14,000 9,500 40%
Orlando-Kissimmee, FL 8.5 24,000 13,500 10,000 42%
Phoenix-Mesa, AZ 8.0 40,000 26,000 13,000 33%
Houston-The Woodlands, TX 7.7 58,000 40,000 16,000 28%
Dallas-Fort Worth, TX 7.7 62,000 38,000 22,000 35%
Tampa-St. Petersburg, FL 7.6 25,000 15,000 9,000 36%
Atlanta-Sandy Springs, GA 6.7 42,000 26,000 15,000 36%
Denver-Aurora, CO 6.4 19,000 9,000 9,500 50%
Seattle-Tacoma, WA 6.0 24,000 8,000 15,000 63%
Minneapolis-St. Paul, MN 4.9 18,000 7,000 10,000 56%
Miami-Fort Lauderdale, FL 4.6 28,000 7,000 20,000 71%
Washington-Arlington, DC 3.3 21,000 8,500 11,500 55%
Boston-Cambridge, MA 2.7 13,000 4,000 8,500 65%
New York-Newark, NY 2.2 42,000 9,000 31,000 74%
Philadelphia-Camden, PA 2.2 13,500 6,500 6,000 44%
San Francisco-Oakland, CA 2.0 9,000 2,200 6,500 72%
Los Angeles-Long Beach, CA 1.7 22,000 5,000 16,000 73%
Chicago-Naperville, IL 1.5 14,000 6,000 7,000 50%
A-04

Bigger Metros Build Less

Population vs supply rate

Plot every metro by population and by supply rate and the dots drift down as they drift right: the largest metros - the New Yorks and Los Angeleses where housing is scarcest and dearest - sit along the floor, while the fastest permitting happens in the smaller Sun Belt boomtowns up the left side. Size is not the constraint. The places with the most people and the most demand authorize the fewest homes per resident.

0 3 6 9 12 15 500k 1M 2M 5M 10M 20M Resident population (log scale) Units permitted / 1,000 residents Myrtle Beach, SC: 14.4 per 1,000, pop 520,000 Myrtle Beach Provo-Orem, UT: 11.1 per 1,000, pop 720,000 Boise City, ID: 10.5 per 1,000, pop 810,000 Raleigh-Cary, NC: 10.1 per 1,000, pop 1,480,000 Austin-Round Rock, TX: 9.9 per 1,000, pop 2,420,000 Jacksonville, FL: 9.1 per 1,000, pop 1,710,000 Nashville-Davidson, TN: 9.0 per 1,000, pop 2,100,000 Charlotte-Concord, NC: 8.6 per 1,000, pop 2,800,000 Orlando-Kissimmee, FL: 8.5 per 1,000, pop 2,820,000 Phoenix-Mesa, AZ: 8.0 per 1,000, pop 5,020,000 Phoenix Houston-The Woodlands, TX: 7.7 per 1,000, pop 7,510,000 Houston Dallas-Fort Worth, TX: 7.7 per 1,000, pop 8,100,000 Dallas Tampa-St. Petersburg, FL: 7.6 per 1,000, pop 3,290,000 Atlanta-Sandy Springs, GA: 6.7 per 1,000, pop 6,310,000 Denver-Aurora, CO: 6.4 per 1,000, pop 2,990,000 Seattle-Tacoma, WA: 6.0 per 1,000, pop 4,030,000 Minneapolis-St. Paul, MN: 4.9 per 1,000, pop 3,710,000 Miami-Fort Lauderdale, FL: 4.6 per 1,000, pop 6,140,000 Washington-Arlington, DC: 3.3 per 1,000, pop 6,310,000 Boston-Cambridge, MA: 2.7 per 1,000, pop 4,900,000 New York-Newark, NY: 2.2 per 1,000, pop 19,500,000 New York Philadelphia-Camden, PA: 2.2 per 1,000, pop 6,240,000 San Francisco-Oakland, CA: 2.0 per 1,000, pop 4,570,000 San Francisco Los Angeles-Long Beach, CA: 1.7 per 1,000, pop 12,900,000 Los Angeles Chicago-Naperville, IL: 1.5 per 1,000, pop 9,260,000 Chicago
  • Sun Belt boomtown
  • Steady
  • Supply-frozen

Fig. A-04 · One mark per metro; shape and colour both encode archetype, so the groups read under colour-blindness and in greyscale. Extremes direct-labelled; hover any dot for its figures. Illustrative stand-in figures.

A-05

Houses or Apartments

Share of units by building type

Now hold volume constant and ask only about shape. Each bar is one metro's permitted units normalized to 100% and split into single-family, the 2 to 4 unit "missing middle", and multifamily (5+), sorted from most detached at the top to most apartment at the bottom. Sun Belt sprawl and Texas subdivisions anchor one end; the supply-frozen coasts, where almost every new unit is an apartment, anchor the other. Two different housing economies, drawn to the same width.

Myrtle Beach, SC 73% 23%
Houston-The Woodlands, TX 69% 28%
Phoenix-Mesa, AZ 65% 33%
Boise City, ID 59% 35%
Jacksonville, FL 61% 35%
Dallas-Fort Worth, TX 61% 35%
Atlanta-Sandy Springs, GA 62% 36%
Tampa-St. Petersburg, FL 60% 36%
Charlotte-Concord, NC 58% 40%
Raleigh-Cary, NC 57% 40%
Orlando-Kissimmee, FL 56% 42%
Provo-Orem, UT 53% 44%
Philadelphia-Camden, PA 48% 44%
Nashville-Davidson, TN 53% 45%
Austin-Round Rock, TX 50% 46%
Denver-Aurora, CO 47% 50%
Chicago-Naperville, IL 43% 50%
Washington-Arlington, DC 40% 55%
Minneapolis-St. Paul, MN 39% 56%
Seattle-Tacoma, WA 33% 63%
Boston-Cambridge, MA 31% 65%
Miami-Fort Lauderdale, FL 25% 71%
San Francisco-Oakland, CA 24% 72%
Los Angeles-Long Beach, CA 23% 73%
New York-Newark, NY 21% 74%

Bars normalized to 100%. Small segments omit their label; the middle band is the 2 to 4 unit class.

A-06

Fifteen Years of Supply

U.S. units permitted, 000s

National housing units authorized each year, stacked by building type. The recovery from the 2008 collapse was carried by multifamily nearly as much as single-family - the apartment share crested around 2022, at roughly 40% of all new units. The 2-to-4-unit "missing middle" stayed a rounding error the entire stretch, the housing type America stopped building.

0 250 500 750 1,000 1,250 1,500 1,750 2,000 2010: 604k units (single 447k, 2-4 24k, multi 133k) '10 2011: 606k units (single 419k, 2-4 22k, multi 165k) '11 2012: 838k units (single 519k, 2-4 27k, multi 292k) '12 2013: 1,008k units (single 620k, 2-4 33k, multi 355k) '13 2014: 1,049k units (single 640k, 2-4 34k, multi 375k) '14 2015: 1,202k units (single 696k, 2-4 38k, multi 468k) '15 2016: 1,246k units (single 750k, 2-4 40k, multi 456k) '16 2017: 1,309k units (single 820k, 2-4 43k, multi 446k) '17 2018: 1,364k units (single 856k, 2-4 41k, multi 467k) '18 2019: 1,386k units (single 862k, 2-4 44k, multi 480k) '19 2020: 1,475k units (single 980k, 2-4 43k, multi 452k) '20 2021: 1,791k units (single 1115k, 2-4 55k, multi 621k) '21 2022: 1,722k units (single 980k, 2-4 52k, multi 690k) '22 2023: 1,500k units (single 925k, 2-4 45k, multi 530k) '23 2024: 1,506k units (single 970k, 2-4 46k, multi 490k) '24
  • Single-family (1 unit)
  • 2 to 4 units
  • Multifamily (5+ units)

Fig. A-06 · Thousands of units authorized nationwide; segment heights are the three building classes. 2024 totalled 1,506k. Illustrative stand-in figures.

A-07

The Apartment Share, Rising

Multifamily % of U.S. units

Read as a rate rather than a volume, the same national data tells a structural story: the multifamily share of everything permitted climbed from about 22% in 2010 to a peak near 40% in 2022, before easing to 33%. The country is not just building - it is quietly building denser, one approval at a time.

0% 10% 20% 30% 40% '10'12'14'16'18'20'22'24 40% (2022) 33%

Fig. A-07 · Multifamily (5+ unit) units as a share of all units authorized nationwide each year. Single series; peak and latest year direct-labelled. Illustrative stand-in figures.

A-08

Three Tempos of Building

Permits indexed, 2010 = 100

Group the metros by archetype and index each group to its own 2010 level, and the gap becomes a matter of slope. Sun Belt boomtowns roughly doubled their pace and shrugged off the 2022 rate shock; the steady middle climbed at half that grade; the supply-frozen coasts end fifteen years almost exactly where they began. Same country, three completely different responses to the same demand.

Sun Belt boomtowns
100 150 200 250 '10 '24 205

Doubled their pace in a decade, barely flinched at the 2022 rate shock.

Steady metros
100 150 200 250 '10 '24 150

A gradual climb, half the boomtown slope, no dramatic swings.

Supply-frozen metros
100 150 200 250 '10 '24 102

Fifteen years, essentially flat: 2024 sits about where 2010 did.

Fig. A-08 · Each panel indexes one cohort's total permits to 2010 = 100; the two grey lines repeat the other cohorts for scale. Illustrative stand-in figures.

A-09

The Supply Gap

Deviation from the U.S. average

Here is the whole argument on one axis. Each bar is a metro's distance from the national average of 4.5 units per 1,000 residents - above to the right, below to the left. The fast-permitting Sun Belt and Mountain West metros authorize about 4.5x as many homes per resident as the big coastal metros where demand and prices are highest. Where housing costs the most, the least gets built.

U.S. avg 4.5 Myrtle Beach, SC: 14.4 per 1,000 (+9.9 vs avg) Myrtle Beach 14.4 Provo-Orem, UT: 11.1 per 1,000 (+6.6 vs avg) Provo-Orem 11.1 Boise City, ID: 10.5 per 1,000 (+6.0 vs avg) Boise City 10.5 Raleigh-Cary, NC: 10.1 per 1,000 (+5.6 vs avg) Raleigh-Cary 10.1 Austin-Round Rock, TX: 9.9 per 1,000 (+5.4 vs avg) Austin-Round Rock 9.9 Jacksonville, FL: 9.1 per 1,000 (+4.6 vs avg) Jacksonville 9.1 Nashville-Davidson, TN: 9.0 per 1,000 (+4.5 vs avg) Nashville-Davidson 9.0 Charlotte-Concord, NC: 8.6 per 1,000 (+4.1 vs avg) Charlotte-Concord 8.6 Orlando-Kissimmee, FL: 8.5 per 1,000 (+4.0 vs avg) Orlando-Kissimmee 8.5 Phoenix-Mesa, AZ: 8.0 per 1,000 (+3.5 vs avg) Phoenix-Mesa 8.0 Houston-The Woodlands, TX: 7.7 per 1,000 (+3.2 vs avg) Houston-The Woodlands 7.7 Dallas-Fort Worth, TX: 7.7 per 1,000 (+3.2 vs avg) Dallas-Fort Worth 7.7 Tampa-St. Petersburg, FL: 7.6 per 1,000 (+3.1 vs avg) Tampa-St. Petersburg 7.6 Atlanta-Sandy Springs, GA: 6.7 per 1,000 (+2.2 vs avg) Atlanta-Sandy Springs 6.7 Denver-Aurora, CO: 6.4 per 1,000 (+1.9 vs avg) Denver-Aurora 6.4 Seattle-Tacoma, WA: 6.0 per 1,000 (+1.5 vs avg) Seattle-Tacoma 6.0 Minneapolis-St. Paul, MN: 4.9 per 1,000 (+0.4 vs avg) Minneapolis-St. Paul 4.9 Miami-Fort Lauderdale, FL: 4.6 per 1,000 (+0.1 vs avg) Miami-Fort Lauderdale 4.6 Washington-Arlington, DC: 3.3 per 1,000 (-1.2 vs avg) Washington-Arlington 3.3 Boston-Cambridge, MA: 2.7 per 1,000 (-1.8 vs avg) Boston-Cambridge 2.7 New York-Newark, NY: 2.2 per 1,000 (-2.3 vs avg) New York-Newark 2.2 Philadelphia-Camden, PA: 2.2 per 1,000 (-2.3 vs avg) Philadelphia-Camden 2.2 San Francisco-Oakland, CA: 2.0 per 1,000 (-2.5 vs avg) San Francisco-Oakland 2.0 Los Angeles-Long Beach, CA: 1.7 per 1,000 (-2.8 vs avg) Los Angeles-Long Beach 1.7 Chicago-Naperville, IL: 1.5 per 1,000 (-3.0 vs avg) Chicago-Naperville 1.5
  • Above U.S. average
  • Below U.S. average

Fig. A-09 · Bars measure each metro's supply rate against the national average; length is the size of the gap, direction is its sign. Illustrative stand-in figures.

Every metro vs the U.S. average (data table)
MetroPer 1,000vs U.S. avgTotal units
Myrtle Beach, SC 14.4 +9.9 7,500
Provo-Orem, UT 11.1 +6.6 8,000
Boise City, ID 10.5 +6.0 8,500
Raleigh-Cary, NC 10.1 +5.6 15,000
Austin-Round Rock, TX 9.9 +5.4 24,000
Jacksonville, FL 9.1 +4.6 15,500
Nashville-Davidson, TN 9.0 +4.5 19,000
Charlotte-Concord, NC 8.6 +4.1 24,000
Orlando-Kissimmee, FL 8.5 +4.0 24,000
Phoenix-Mesa, AZ 8.0 +3.5 40,000
Houston-The Woodlands, TX 7.7 +3.2 58,000
Dallas-Fort Worth, TX 7.7 +3.2 62,000
Tampa-St. Petersburg, FL 7.6 +3.1 25,000
Atlanta-Sandy Springs, GA 6.7 +2.2 42,000
Denver-Aurora, CO 6.4 +1.9 19,000
Seattle-Tacoma, WA 6.0 +1.5 24,000
Minneapolis-St. Paul, MN 4.9 +0.4 18,000
Miami-Fort Lauderdale, FL 4.6 +0.1 28,000
Washington-Arlington, DC 3.3 -1.2 21,000
Boston-Cambridge, MA 2.7 -1.8 13,000
New York-Newark, NY 2.2 -2.3 42,000
Philadelphia-Camden, PA 2.2 -2.3 13,500
San Francisco-Oakland, CA 2.0 -2.5 9,000
Los Angeles-Long Beach, CA 1.7 -2.8 22,000
Chicago-Naperville, IL 1.5 -3.0 14,000
A-11

Methodology

Notes on the Data

Everything here descends from one dataset: the U.S. Census Bureau, Building Permits Survey (BPS) (Annual 2024 (released May 2025)). BPS counts permits authorized - the moment a jurisdiction clears a home to be built - not homes finished. It is the earliest and most complete read on where America is letting housing happen. Each permit records a unit count and a building size class: single-family (1 unit), 2-unit, 3-and-4-unit, and multifamily (5 or more). Every per-capita figure divides units by Census resident-population estimates for the same place, so a small fast state and a big slow one land on one scale.

What's real, what's a stand-in

Read this plainly: every number on this page is Illustrative. The rates, the metro rankings, the fifteen-year trend, the rising apartment share, and the three archetype trajectories (indexed to 2010 = 100) are all hand-authored stand-ins, shaped to match the real published pattern of U.S. permitting but not drawn from the actual BPS release. The archetype tags - boomtown, steady, frozen - are editorial calls, not a field in the source. Nothing carries a real-data badge it has not earned. The swap to real is at the data layer only: drop the BPS bulk file into data/raw/, run npm run data, and every chart above re-renders from the genuine figures without a line of component code changing. The swap-point is documented in HANDOFF.md.

What you're not seeing

Permits are not starts and not completions - some authorized units are never built, and there is a lag of months to years before a permit becomes a home. Roughly a fifth of U.S. housing is built in areas that do not require permits or do not report to the survey, so rural and unincorporated construction is undercounted. "Units" counts dwellings, not square footage or affordability: a metro can lead on units per capita while building homes few of its residents can buy. And a permit says nothing about who the housing is for - this page measures supply volume and its single- vs multifamily shape, not tenure, price, or who ends up living there.


Generated 2026-07-06 00:00 UTC. Source: U.S. Census Bureau, Building Permits Survey (BPS).