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United States Existing Home Sales Month-over-Month (MoM)

Price

1.5 %
Change +/-
-8 %
Percentage Change
-145.45 %

The current value of the Existing Home Sales Month-over-Month (MoM) in United States is 1.5 %. The Existing Home Sales Month-over-Month (MoM) in United States decreased to 1.5 % on 7/1/2024, after it was 9.5 % on 2/1/2024. From 2/1/1968 to 10/1/2024, the average GDP in United States was 0.22 %. The all-time high was reached on 7/1/2020 with 22.4 %, while the lowest value was recorded on 7/1/2010 with -22.5 %.

Source: National Association of Realtors

Existing Home Sales Month-over-Month (MoM)

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  • 25 Years

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Existing Home Sales MoM

Existing Home Sales Month-over-Month (MoM) History

DateValue
7/1/20241.5 %
2/1/20249.5 %
1/1/20243.1 %
11/1/20231.6 %
5/1/20230.2 %
2/1/202311.3 %
1/1/20223.5 %
11/1/20213.5 %
10/1/20210.6 %
9/1/20213 %
1
2
3
4
5
...
35

Similar Macro Indicators to Existing Home Sales Month-over-Month (MoM)

NameCurrentPreviousFrequency
🇺🇸
15-Year Mortgage Rate
6.02 %5.99 %frequency_weekly
🇺🇸
30-Year Mortgage Rate
6.86 %6.87 %frequency_weekly
🇺🇸
Average House Prices
501,000 USD486,500 USDMonthly
🇺🇸
Average Mortgage Size
405,490 USD405,400 USDfrequency_weekly
🇺🇸
Building Permits
1.416 M 1.425 M Monthly
🇺🇸
Building Permits MoM
-0.6 %-3.1 %Monthly
🇺🇸
Case-Shiller Home Price Index
333.21 points329.95 pointsMonthly
🇺🇸
Case-Shiller Home Price Index MoM
1.4 %1.6 %Monthly
🇺🇸
Case-Shiller Home Price Index YoY
7.2 %7.5 %Monthly
🇺🇸
Construction Spending
-0.1 %0.3 %Monthly
🇺🇸
Existing Home Sales
3.96 M 3.83 M Monthly
🇺🇸
Home Price Index MoM
0 %0.3 %Monthly
🇺🇸
Homeownership Rate
65.6 %65.6 %Quarter
🇺🇸
Housing Index
424.3 points423.3 pointsMonthly
🇺🇸
Housing Price Index YoY
6.3 %6.7 %Monthly
🇺🇸
Housing starts
1.311 M units1.353 M unitsMonthly
🇺🇸
Housing Starts MoM
-3.1 %-1.9 %Monthly
🇺🇸
MBA Mortgage Market Index
212 points210.4 pointsfrequency_weekly
🇺🇸
MBA Mortgage Refinancing Index
552.4 points552.7 pointsfrequency_weekly
🇺🇸
MBA Purchase Index
136 points133.3 pointsfrequency_weekly
🇺🇸
Mortgage applications
0.8 %0.9 %frequency_weekly
🇺🇸
Mortgage Interest Rate
6.93 %6.94 %frequency_weekly
🇺🇸
Mortgage Originations
448.31 B USD374.11 B USDQuarter
🇺🇸
Multi-family Housing Starts
278,000 units310,000 unitsMonthly
🇺🇸
NAHB Housing Market Index
42 points43 pointsMonthly
🇺🇸
National House Price Index
322.25 points321.205 pointsMonthly
🇺🇸
New Home Sales
619,000 units698,000 unitsMonthly
🇺🇸
New Home Sales MoM
-11.3 %2 %Monthly
🇺🇸
Pending Home Sales
-6.6 %-7.4 %Monthly
🇺🇸
Pending Home Sales MoM
-2.1 %-7.7 %Monthly
🇺🇸
Price-Rent Ratio
134.247 134.659 Quarter
🇺🇸
Residential property prices
4.67 %5.27 %Quarter
🇺🇸
Single-family home prices
404,500 USD414,200 USDMonthly
🇺🇸
Single-Family Home Starts
982,000 units1.036 M unitsMonthly
🇺🇸
Total Housing stock
1.39 M 1.37 M Monthly

In the United States, Existing Home Sales are recorded when the mortgage process is finalized. Mortgage finalization typically occurs 30 to 60 days following the completion of the sales contract.

What is Existing Home Sales Month-over-Month (MoM)?

Existing Home Sales MoM, or Month-over-Month, is a critical macroeconomic indicator that gauges the health of the housing market by tracking the percentage change in the number of existing residential buildings sold in a given month compared to the previous month. This metric is particularly valuable for economists, investors, policymakers, and market analysts as it provides insights into consumer behavior, real estate market trends, and overall economic health. At Eulerpool, we strive to deliver comprehensive and real-time macroeconomic data, ensuring our users can make informed decisions based on accurate and timely information. The importance of the Existing Home Sales MoM metric cannot be understated. It serves as a barometer for the housing market, which plays a significant role in the broader economy. Residential real estate is not only a substantial part of national wealth but also a critical driver of various economic activities, from construction and home improvements to consumer spending on furniture and other household goods. When existing home sales are robust, it often signals consumer confidence and financial stability, as purchasing a home is one of the most significant investments most individuals will make. One of the primary aspects to understand about the Existing Home Sales MoM indicator is its reflection of consumer sentiment and economic cycles. During economic expansions, higher employment levels and rising incomes often lead to increased demand for housing. This upswing is typically mirrored in the month-over-month rise in existing home sales. Conversely, during economic downturns, layoffs, wage stagnation, and tighter credit conditions can decrease home buying activity, leading to a decline in the MoM metric. The real estate market is also influenced by interest rates set by central banks. Lower interest rates reduce the cost of borrowing, making mortgages more affordable for consumers and encouraging home purchases. Therefore, monetary policy decisions can have a direct impact on existing home sales. For instance, when central banks engage in expansionary monetary policy by lowering interest rates, it typically stimulates the housing market. This stimulation is reflected in an uptick in the Existing Home Sales MoM data. Seasonal factors also play a significant role in existing home sales. Traditionally, the spring and summer months see higher sales volumes as families prefer to move during these periods when children are out of school, and the weather is conducive to house hunting and moving. As a result, one might observe seasonal trends in the MoM data. Analyzing these patterns requires a sophisticated understanding of context, and at Eulerpool, we provide tools to help users decipher these trends and their implications. The affordability of homes, measured by the balance between home prices, income levels, and mortgage rates, also significantly impacts the Existing Home Sales MoM figures. In markets where home prices rise faster than incomes, affordability can become a constraint, limiting the number of successful transactions and thus impacting the MoM data. On the other hand, when home prices stabilize or grow at a modest pace, more potential buyers can afford to enter the market. Demographic trends, such as population growth and household formation rates, further influence the existing home sales. Young adults forming new households drive demand for housing. Therefore, demographic shifts, including migration patterns and changing lifestyle preferences, can affect the macroeconomic housing data we curate at Eulerpool. Understanding these demographic influences allows for a more nuanced interpretation of the Existing Home Sales MoM statistics. Government policies, ranging from tax incentives for homebuyers to regulations affecting mortgage lending, are additional factors that can impact the real estate market. Programs designed to make homeownership more accessible can boost sales figures, while restrictive lending policies might dampen market activity. Eulerpool keeps a close eye on legislative changes and provides contextual analysis to elucidate their potential impact on the Existing Home Sales MoM metric. Moreover, the Existing Home Sales MoM data is pivotal for financial markets as it can influence investor sentiment and decision-making. A strong report can buoy stock markets, particularly shares of companies in sectors tied to housing, such as homebuilders, mortgage lenders, and home improvement retailers. Conversely, weak data might lead to stock market declines as it could signal broader economic issues. Therefore, market participants closely monitor these reports, using them to gauge the economic landscape. In summary, the Existing Home Sales MoM is a multifaceted indicator that encapsulates a wide array of economic dynamics. Its analysis requires a deep understanding of consumer behavior, interest rates, seasonal trends, affordability indices, demographic shifts, government policies, and their broader economic interconnections. By delivering this data on Eulerpool, we empower our users to decode the complexities of the housing market and its implications for the broader economy, making informed and strategic decisions in their respective fields.