Is the U.S. Housing Market Heading Toward a Correction?

The U.S. housing market is undergoing a major shift.

The U.S. housing market has seen significant changes in recent years, driven by rapidly rising home prices and a sharp increase in mortgage interest rates. These trends have raised concerns about whether the market is becoming unsustainable, not necessarily due to overvaluation, but because of declining affordability. This article examines how housing prices, interest rates, and affordability have evolved over time and what these trends suggest about the future of the housing market.

library(tidyverse)
library(lubridate)

prices <- read_csv("/Users/landonleggett/Downloads/Data/CSUSHPISA.csv")
rates  <- read_csv("/Users/landonleggett/Downloads/Data/MORTGAGE30US.csv")

prices <- prices %>%
  rename(
    date = observation_date,
    price = CSUSHPISA
  )

rates <- rates %>%
  rename(
    date = observation_date,
    rate = MORTGAGE30US
  )

# Convert weekly rates to monthly (cleaner merge)
rates_monthly <- rates %>%
  mutate(date = floor_date(date, "month")) %>%
  group_by(date) %>%
  summarize(rate = mean(rate, na.rm = TRUE))

# Merge datasets
housing <- prices %>%
  left_join(rates_monthly, by = "date") %>%
  drop_na()

House Prices Over Time

House prices have climbed to historically elevated levels, especially following the surge during the pandemic.

Low interest rates and strong demand fueled rapid price appreciation, pushing housing values well above pre-pandemic trends ¹. Even as market conditions have shifted, prices have remained high, leaving many buyers priced out.

ggplot(housing, aes(x = date, y = price)) +
  geom_line(linewidth = 1.2, color = "#2C7FB8") +

  # COVID marker
  geom_vline(xintercept = as.Date("2020-03-01"), linetype = "dashed") +
  annotate("text",
           x = as.Date("2020-03-01"),
           y = max(housing$price),
           label = "COVID Shock",
           vjust = -0.5,
           size = 3) +

  labs(
    title = "U.S. Home Prices Remain Near Historic Highs",
    subtitle = "Prices surged after 2020 and have stayed elevated",
    x = NULL,
    y = "Home Price Index",
    caption = "Source: Case-Shiller Index (CSUSHPISA), FRED"
  ) +
  theme_minimal() +
  theme(
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    plot.title = element_text(face = "bold")
  )

Mortgage Interest Rates

The figure below highlights a critical shift in mortgage interest rates. Beginning in 2022, rates increased sharply as monetary policy tightened². This represents a structural change in borrowing costs, significantly raising the cost of financing a home purchase.

ggplot(housing, aes(x = date, y = rate)) +
  geom_line(linewidth = 1.2, color = "#2C7FB8") +

  # Rate spike marker
  geom_vline(xintercept = as.Date("2022-01-01"), linetype = "dashed") +
  annotate("text",
           x = as.Date("2022-01-01"),
           y = max(housing$rate),
           label = "Rate Surge",
           vjust = -0.5,
           size = 3) +

  labs(
    title = "Mortgage Rates Jumped After 2022",
    subtitle = "Higher rates increased the cost of borrowing",
    x = NULL,
    y = "Interest Rate (%)",
    caption = "Source: MORTGAGE30US, FRED"
  ) +
  theme_minimal() +
  theme(
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    plot.title = element_text(face = "bold")
  )

Housing Affordability

The combined effect of high prices and elevated interest rates illustrates declining housing affordability³. As mortgage rates rise, monthly payments increase even if home prices stabilize. This means that, in real terms, housing has become substantially more expensive for the average buyer.

housing <- housing %>%
  mutate(affordability = price * rate)

ggplot(housing, aes(x = date, y = affordability)) +
  geom_line(linewidth = 1.2, color = "#2C7FB8") +

  # COVID marker
  geom_vline(xintercept = as.Date("2020-03-01"), linetype = "dashed") +
  annotate("text",
           x = as.Date("2020-03-01"),
           y = max(housing$affordability),
           label = "COVID",
           vjust = -0.5,
           size = 3) +

  # Rate spike marker
  geom_vline(xintercept = as.Date("2022-01-01"), linetype = "dashed") +
  annotate("text",
           x = as.Date("2022-01-01"),
           y = max(housing$affordability) * 0.9,
           label = "Rate Spike",
           vjust = -0.5,
           size = 3) +

  labs(
    title = "Housing Affordability Has Declined",
    subtitle = "Higher prices and rates have increased buyer costs",
    x = NULL,
    y = "Price × Interest Rate",
    caption = "Source: Author's calculation using FRED data"
  ) +
  theme_minimal() +
  theme(
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    plot.title = element_text(face = "bold")
  )

Conclusion

Importantly, housing markets do not require falling prices to experience stress. Reduced affordability alone can suppress demand by pricing out potential buyers. Over time, weaker demand can slow price growth or contribute to moderate corrections.

While a sharp housing crash is not guaranteed, current trends suggest increasing pressure on the market. Limited supply, partly due to homeowners holding onto low-rate mortgages, may prevent rapid price declines. Nevertheless, the sustained decline in affordability indicates that the housing market may be approaching a period of adjustment.

Sources

Footnotes

1. S&P CoreLogic Case-Shiller U.S. National Home Price Index (CSUSHPISA), Federal Reserve Economic Data (FRED).

2. 30-Year Fixed Rate Mortgage Average in the United States (MORTGAGE30US), FRED.

3. Author’s calculation using CSUSHPISA and MORTGAGE30US data (price × interest rate proxy).