San Diego-Chula Vista-Carlsbad, CA
California's coastal squeeze. San Diego is the most rent-burdened metro in the queue (R/I 35.2%) with a $791,600 median home value, but it still posts +1.51% YoY HPI thanks to a 64% multifamily permit pipeline (+22.3% YoY) and a steady inflow of priced-out coastal CA households.
The numbers that matter most
What an investor checks first when sizing up a new metro — affordability ratio, rent vs income, cap rate proxy, and where the market is moving. Each metric shown vs. state and national medians for instant context.
expensive
Price to income
7.74×
The single most-cited 'is this market still cheap' check. Below 3× and you're in an affordability tailwind.
- vs California
- 5.95×
- vs U.S.
- 3.43×
Benchmark
ACS median home value ÷ median HHI
burdened
Rent to income
35.2%
What share of a typical household's income goes to rent. Below 30% means tenants can absorb modest rent increases.
- vs California
- 28.8%
- vs U.S.
- 23.3%
Benchmark
(HUD FMR 2BR × 12) ÷ median HHI
tight
Cap rate proxy
3.0%
Rough first-pass yield assuming a 35% expense ratio. Not an underwriting number — a 'is this even worth modeling' filter.
- vs California
- 3.1%
- vs U.S.
- 4.4%
Benchmark
(FMR 2BR × 12 × 0.65) ÷ ACS median home value
shrinking
Net migration
-0.26%
Forward-looking demand signal. Positive net migration drives rent growth and absorbs new supply.
- vs California
- -0.03%
- vs U.S.
- 0.04%
Benchmark
IRS net migration ÷ population
pipeline accelerating
Permit pipeline
3.61
permits per 1,000 residents
Forward-supply indicator. Above ~5 means the metro is building meaningfully relative to its size; below 2 means supply is tight.
- vs California
- 2.39+1.21
- vs U.S.
- 3.49+0.12
Benchmark
Census BPS permits TTM ÷ population × 1,000
softening
Unemployment
4.4%
Tighter unemployment means higher wages, more rental demand, lower vacancy.
- vs California
- 4.8%-0.4
- vs U.S.
- 4.0%
Benchmark
BLS LAUS, latest month
Section index — click any row to jump
What the data says about San Diego
San Diego is California's coastal squeeze. The entire metro is just one county — San Diego County, the second-most-populous county in California after LA — with 3.29 million residents, a household income of $102,285 (Census ACS), and a median home value of $791,600. The HUD Fair Market Rent for a 2-bedroom is $3,001 — third-highest in the queue after SF ($3,604) and Boston ($2,941). The House Price Index ran +52.2% over five years (FHFA HPI) — third highest in the queue after Phoenix and Miami — and YoY is still positive at +1.51%.
The interesting fact is that San Diego has the worst rent burden of any metro in the queue. Rent-to-income is 35.2% (burdened) — that's the FMR 2BR running over 35% of the median household's pre-tax income. 55% of households are formally rent-burdened by HUD's >30% threshold — tied with Riverside for the highest in the queue. Owner-occupancy is 54.5% — the lowest of any 5M-pop metro. The metro is dominated by renters paying too much.
The single-county geometry makes the supply story unusually clean:
- San Diego County (3.29M pop, $791,600 median home value) — entire metro in a single county. 11,863 building permits TTM, 3.61 permits per 1,000 residents, above both the California state median of 2.39 and the national 3.49.
- Permit mix: 3,353 single-family + 7,567 5+ unit multifamily. 64% multifamily — the highest multifamily share of any queue metro. San Diego is densifying around the trolley and the I-5/I-805 corridors, not building SFR in any meaningful volume.
- Permit YoY is +22.3% — the third-largest jump in the queue after SF (+57%) and Detroit (+55%).
What's changing: net IRS migration is −8,486 returns (IRS SOI) — small relative to 3.29M population (−0.26%). The interesting wrinkle: the top out-of-metro inflow origins are all coastal CA (LA, Riverside, Orange, Santa Clara, San Bernardino), but the larger outflow to non-California states (AZ, TX, NV) makes the net negative. San Diego is a transit step on the coastal-CA-to-Sun-Belt migration chain. The cap rate proxy sits at 3.0% — tight, just above SF's 2.5% and Seattle's 2.9%. Unemployment is 4.4%, slightly above the national 4.0%. Inside California, San Diego ranks #3 of 26 for 5-year HPI.
What does an investor do?
- If you're hunting cash flow: Don't, in San Diego County. The 3.0% cap proxy is institutional-only territory. The closest workable comp is Riverside-San Bernardino, an hour east.
- If you're playing appreciation: San Diego is the rare California metro that ran with the Sun Belt over the past five years (+52.2% vs the rest of CA averaging +27.9%). The +1.51% YoY is positive, the multifamily ramp is real, and the structural climate-and-Navy moat keeps demand intact.
- If you already own here: Stay. The rent ceiling is the highest in the queue and the structural supply shortage is real. The +22.3% permit YoY says builders see continued demand. Watch the next two YoY prints.
Where prices are and where they've been
FHFA House Price Index — repeat-sales index across the metro, sized against this metro's median household income and benchmarked against the Indiana metros average and U.S. metros average.
5-year price appreciation
+52.2%
FHFA HPI · Q1 2020 → Q4 2025
+1.5% YoY
$791,600 median home value
San Diego home prices climbed 52.2% over the last 5 years according to the FHFA repeat-sales index — a steady appreciation pace for a Midwest metro of this size. The 1-year change has cooled to 1.5%, signaling the post-2022 surge has unwound into steady-state appreciation.
See the chart below for how the metro's appreciation curve stacks up against the Indiana metros average and the U.S. metros average. The gap between the metro and the national line is the "catch-up" or "lag" signal — and the slope tells you whether the gap is widening or closing.
How to read it
- 01San Diego's index ran from ~239 in early 2020 to ~364 in Q4 2025. The **+52.2% 5-year change** in the card above is the canonical figure (Q4 2020 → Q4 2025) — third highest in the queue after Phoenix (+53.8%) and Miami (+55.3%).
- 02San Diego outpaced its own state by ~24 percentage points — California metros pop-weighted ran +27.9% over the same window. SF, LA, and the rest of coastal CA underperformed; San Diego ran with the Sun Belt.
- 03U.S. metros climbed **+34.3%**. San Diego beat the country by 18pp — running with the Sun Belt growth metros, not the rest of California.
- 04The most recent quarter is still **+1.51% YoY** — slowing but positive. Unlike SF (−2.62%) and Seattle (−2.54%), San Diego has not flipped negative.
- 05Inside its own state, San Diego ranks **#3 of 26** for 5-year HPI — top quintile. Only the smallest CA metros ran differently; among large CA metros, San Diego is the appreciation leader after Riverside.
Where the value tier sits — top 1 counties by home value
| County | Median home value | Median HHI | Price-to-income | Verdict |
|---|---|---|---|---|
| San Diego County | $791,600 | $102,285 | 7.74× | stretched |
How to read the FHFA House Price Index
FHFA HPI is a repeat-sales index — it tracks the price change of the same properties over time, smoothing out new construction and luxury transactions. It's built from the mortgage data the GSEs (Fannie Mae, Freddie Mac) already see, which makes it free of MLS survey error and immune to listing-feed gaps.
- 01Repeat-sales method. Tracks the same properties over time, so new construction and luxury transactions don't skew the trend.
- 02Federally sourced. Built from GSE mortgage data — no MLS survey error, no commercial license required to publish.
- 03Slope, not level. Watch the slope of the line, not the absolute index value — a steepening curve is a more reliable buy signal than the level.
The rent ladder
HUD Fair Market Rent by bedroom count, sized against this metro's median household income and benchmarked vs Indiana and the U.S.
Typical 2-bedroom rent
$3,001
/ month · HUD FMR FY 2026
35.2% of median HHI
A typical 2-bedroom in costs the median household 35.2% of their income — 11.9 points above the U.S. average (23.3%) 6.4 points above California (28.8%).
HUD calls anything above 30% "rent-burdened." This metro sits comfortably under that line, which means tenants can absorb modest rent increases — and landlords have headroom on rent hikes before pushing tenants out of the market.
Fair Market Rent — by bedroom count
| Bedroom | Monthly | Annual | % of median HHI | Verdict |
|---|---|---|---|---|
| 1 BR | $2,459 | $29.5K | 28.8% | moderate |
| 2 BR | $3,001 | $36.0K | 35.2% | rent-burdened |
| 3 BR | $3,998 | $48.0K | 46.9% | rent-burdened |
Why HUD Fair Market Rent matters
FMR is HUD's 40th-percentile rent estimate by bedroom count — refreshed every fiscal year, sourced from Census surveys (not commercial listing data), and used as the cap for Section 8 voucher payments. Three things investors should know:
- 01Defensible benchmark. Federal source, no commercial license required to publish or compare against.
- 02Section 8 ceiling. A property at or below FMR is voucher-eligible — government-paid rent at the FMR cap.
- 03Conservative estimate. 40th percentile means more than half of actual market rents in the metro come in higher.
Labor market direction
U.S. Bureau of Labor Statistics — LAUS (unemployment) + CES (nonfarm employment), benchmarked against the U.S. average.
Unemployment rate
4.4%
BLS LAUS · latest month
San Diego's labor market is softening, with unemployment running at 4.4% — 0.4 points above the U.S. metros average (4.0%).
For an investor, tighter unemployment means higher wages, more rental demand, and lower vacancy. The trend chart below shows how the metro's unemployment has moved over the last 30 months.
Unemployment rate
4.4%
Nonfarm jobs
—
Median household income
$102,285
ACS 5-year
How to read the labor market
Two BLS series tell you almost everything you need about a metro's labor market: LAUS (unemployment, refreshed monthly) and CES (nonfarm payroll counts, refreshed monthly). LAUS is the tightness signal; CES is the size and direction signal.
- 01Unemployment is rental demand. Tighter labor markets mean higher wages and lower vacancy — landlords have pricing power when employers are competing for workers.
- 02YoY change is the trend signal. A negative pp YoY change means the labor market tightened over the last year — usually a leading indicator for rent growth.
- 03Nonfarm growth is supply absorption. Positive nonfarm payroll growth absorbs new housing supply and supports the rent + price trajectory together.
What's being built
U.S. Census Bureau, Building Permits Survey — trailing 12 months, broken out by structure type, with the YoY change as the directional signal.
Total permits TTM
11,863
Census BPS · trailing 12 months
+22.3% year-over-year
3.61 permits per 1,000 residents
San Diego pulled 11,863 building permits over the trailing 12 months, a meaningful jump 22.3% year-over-year. That works out to 3.61 permits per 1,000 residents, vs the U.S. metros average of 3.49.
Single-family vs multifamily mix matters: 5+ unit permits are lumpy (developers file for entire projects at once), while single-family permits are smoother and more reliable as a demand signal. The chart below breaks out the monthly mix.
Single family
3,353
trailing 12 months
2–4 unit
943
trailing 12 months
5+ unit
7,567
trailing 12 months
How to read the supply pipeline
Census BPS publishes building permit counts every month at the county level, by structure type. Single-family permits are the smooth signal — they reflect ongoing builder demand. 5+ unit permits are lumpy and project-level — one apartment approval can spike a month.
- 01Permits per 1,000 residents. The size-adjusted comparison number. Above ~5 means the metro is building meaningfully relative to its population; below 2 means supply is tight.
- 02YoY change is the direction. Year-over-year change in TTM permits tells you whether builders are leaning in or pulling back. Watch this number for trend reversals.
- 03Mix matters for cap rates. Heavy 5+ unit permitting tends to compress cap rates; single-family-dominated pipelines preserve them.
All 1 counties, ranked by population
Census Bureau (population, ACS demographics) + Census Building Permits Survey.
How to read it
- 01**San Diego County is the entire metro** — 11,863 permits TTM. This is one of only **two single-county metros** in the queue; the other comparison is closer to Detroit (6 counties) or Atlanta (29) than to a typical Tier-3 metro.
- 02San Diego runs **3.61 permits per 1,000 residents** — slightly above the national 3.49 and well above the California state median of 2.39. The county is permitting harder than most of CA.
- 03**Permit YoY is +22.3%** — solid post-2023 ramp, the third-largest jump in the queue after SF (+57%) and Detroit (+55%).
- 04**Permit mix: 3,353 single-family + 7,567 5+ unit multifamily.** 64% multifamily — the highest multifamily share of any queue metro. San Diego is densifying around the trolley and the I-5 corridor.
- 05San Diego County is **the second-most populous county in California** (after LA) — 3.29M residents in a single county. Geographically it stretches from the Mexican border to Camp Pendleton, ~70 miles north-south.
How to read the map
- 01San Diego is the simplest geometry of any queue metro — **a single county**. There is no county-level differentiation to display because there is no second county to compare against.
- 02San Diego County stretches ~70 miles north-south, from the Mexican border at Tijuana to Camp Pendleton north of Oceanside. The eastern half is mostly desert and federal land; the western quarter holds nearly all the population.
- 03The county contains 18 incorporated cities — San Diego, Chula Vista, Oceanside, Escondido, Carlsbad, El Cajon, Vista, San Marcos, Encinitas, La Mesa, Santee, Poway, plus several smaller. The metro footprint is the entire county.
- 04Build intensity is **3.61 per 1,000 residents** — above the California state median of 2.39 and the national 3.49. The 64% multifamily mix concentrates new construction along the trolley and the coastal I-5/I-805 corridors.
- 05**The single-county geometry simplifies the supply story:** there is no exurban relief valve like Pinal in Phoenix or Rockingham NH in Boston. Any growth must happen inside San Diego County itself, which is why the multifamily ramp is so dramatic.
| # | County | Population | Median HHI | Home value | Permits TTM | YoY |
|---|---|---|---|---|---|---|
| 1 | San Diego County | 3,289,701 | $102,285 | $791,600 | 11,863 | +22.3% |
Similar metros nationally
5 metros closest to San Diego by population and median household income — head-to-head on the metrics that matter for an investor.
Peer set
5
metros nearest by population + HHI
San Diego is closest in size to Denver, Minneapolis, Baltimore, Seattle.
The table below ranks every metric — green cells mark the best value in the column, rust cells mark the worst. San Diego is highlighted as the focal row.
| Metro | Pop | Med HHI | Home value | P/I | Cap proxy | HPI 5y | Permits/1k | Migration | Unemp |
|---|---|---|---|---|---|---|---|---|---|
★San Diego | 3.29M | $102K | $792K | 7.74× | 3.0% | +52.2% | 3.61 | -0.26% | 4.4% |
Denver-Aurora-Lakewood, CO | 2.96M | $102K | $570K | 5.57× | 2.9% | +35.6% | 5.27 | +0.21% | 3.6% |
Minneapolis-St. Paul-Bloomington, MN-WI | 3.68M | $98K | $354K | 3.61× | 3.8% | +33.5% | 3.84 | -0.13% | 4.0% |
Baltimore-Columbia-Towson, MD | 2.84M | $97K | $373K | 3.84× | 3.9% | +38.3% | 2.17 | -0.17% | 3.6% |
Seattle-Tacoma-Bellevue, WA | 4.00M | $113K | $674K | 5.98× | 2.9% | +23.4% | 3.91 | -0.08% | 5.0% |
Portland-Vancouver-Hillsboro, OR-WA | 2.51M | $95K | $527K | 5.57× | 2.8% | +30.6% | 3.31 | +0.05% | 4.9% |
How to read this comparison
Peer metros are picked by population + median household income — the closest five matches nationally — so the comparison is apples-to-apples on size and economic class. Sun Belt entrants like Las Vegas and Nashville are included when they fall in range, which is why this peer set spans both the Midwest and the Sun Belt.
- 01Green = best in column. The cell with the most-favorable value for that metric, accounting for whether higher or lower is better.
- 02Rust = worst in column. The cell with the least-favorable value. Combined with the green markers, this is your at-a-glance "where does my metro win and where does it lose."
- 03Cap proxy is the yield lens. Cap rate proxy = (FMR 2BR × 12 × 0.65) ÷ median home value. A first-pass yield filter, not an underwriting number — but it puts the peer set on a single comparable scale.
Where people are moving in from
IRS Statistics of Income — Tax Year 2022. Excludes intra-metro suburban churn.
Net migration
-8,486
tax returns · IRS SOI · TY 2022
-0.26% of metro population
6,638 from top origin
San Diego lost −8,486 net IRS returns — small relative to a 3.3M population (just −0.26%). The top out-of-metro inflows are all from coastal CA (LA #1, Riverside #2, Orange #3, Santa Clara #4, San Bernardino #5) — but the larger outflow is to other states, so the net is negative. San Diego is a transit step on the coastal-CA-to-Sun-Belt migration chain.
The IRS data lags by ~2 years (households file taxes the year after they move), but it's the only nationwide county-to-county migration data sourced from administrative records, not survey estimates. The table below shows the top origin counties — the gravitational sources of new residents.
Top origin counties — where new residents are coming from
| Origin county | Tax returns |
|---|---|
| Los Angeles County, CA | 6,638 |
| Riverside County, CA | 4,956 |
| Orange County, CA | 3,940 |
| Santa Clara County, CA | 1,755 |
| San Bernardino County, CA | 1,692 |
| Maricopa County, AZ | 1,653 |
Who lives in San Diego
U.S. Census Bureau · American Community Survey 5-Year Estimates · 2019–2023 vintage.
Who lives here
- Median age
- 37.1
- Owner-occupancy
- 54.5%
- Bachelor's+
- 42.1%
San Diego relatively young Midwest metro: Median age 37.1, 54.5% owner-occupancy 42.1% holding a bachelor's degree or higher. Stable, educated, and mostly homeowner-driven.
The catch: 55.0% of renter households are rent-burdened (paying 30%+ of income on rent) — high enough to flag as a constraint on rent growth even though the headline rent-to-income ratio looks comfortable.
- Median household income
- $102,285
- Median age
- 37.1
- Bachelor's+ degree
- 42.1%
- Owner-occupancy rate
- 54.5%
- Vacancy rate
- 6.5%
- Rent burdened (30%+)
- 55.0%
Data sources
| Metric | Source | Type | Vintage |
|---|---|---|---|
| Home prices | FHFA — House Price Index | Index | Q4 2025 |
| Fair market rents | HUD — Fair Market Rents | Administrative | FY 2026 |
| Unemployment rate | BLS — Local Area Unemployment Statistics | Survey | Dec 2025 |
| Nonfarm employment | BLS — Current Employment Statistics | Survey | Dec 2025 |
| Building permits | Census — Building Permits Survey | Survey | Mar 2026 TTM |
| Migration flows | IRS — Statistics of Income, Migration Data | Administrative | Tax Year 2022 |
| Demographics | Census — American Community Survey 5-Year | Survey | 2019–2023 |
| Household income | Census — American Community Survey 5-Year | Survey | 2019–2023 |
Page last refreshed: April 9, 2026