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China New Home Sales Year-over-Year (YoY)

Price

6.7 %
Change +/-
-24.9 %
Percentage Change
-130.03 %

The current value of the New Home Sales Year-over-Year (YoY) in China is 6.7 %. The New Home Sales Year-over-Year (YoY) in China decreased to 6.7 % on 5/1/2023, after it was 31.6 % on 4/1/2023. From 2/1/2022 to 10/1/2024, the average GDP in China was -27.95 %. The all-time high was reached on 4/1/2023 with 31.6 %, while the lowest value was recorded on 2/1/2024 with -60 %.

Source: China Real Estate Information Corp.

New Home Sales Year-over-Year (YoY)

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New Home Sales YoY

New Home Sales Year-over-Year (YoY) History

DateValue
5/1/20236.7 %
4/1/202331.6 %
3/1/202329.2 %
2/1/202314.9 %
1

Similar Macro Indicators to New Home Sales Year-over-Year (YoY)

NameCurrentPreviousFrequency
🇨🇳
Home Price Index MoM
-0.7 %-0.6 %Monthly
🇨🇳
Housing Index
-3.9 %-3.1 %Monthly
🇨🇳
Housing starts
300.895 M Square Metre235.097 M Square MetreMonthly
🇨🇳
New Home Sales
3.116 T CNY2.445 T CNYMonthly
🇨🇳
Real Estate Investments
-9.8 %-9.5 %Monthly
🇨🇳
Residential property prices
-7.382 %-5.158 %Quarter

New Home Sales YoY gauges the annual variation in the value of new home sales by the 100 largest real estate companies in China.

What is New Home Sales Year-over-Year (YoY)?

**New Home Sales YoY: An In-Depth Analysis for Investors and Economists** Welcome to Eulerpool, your premier source for macroeconomic data and analysis. Today, we delve into the critical metric of 'New Home Sales Year-over-Year (YoY)' – a key indicator that offers a window into the health of the housing market and, by extension, the broader economy. Whether you are an investor, an economist, or simply someone with a keen interest in macroeconomic trends, understanding New Home Sales YoY can provide invaluable insights into economic cycles, consumer behavior, and investment opportunities. New Home Sales YoY refers to the percentage change in the number of newly constructed homes sold in a given month compared to that same month a year earlier. This metric captures the underlying dynamics of the housing market far more effectively than a month-to-month comparison, which can be influenced by seasonal fluctuations, regulatory changes, and short-term economic events. Instead, a YoY comparison smooths out these anomalies to offer a clearer picture of long-term trends and shifts. One of the primary reasons New Home Sales YoY is a crucial economic indicator lies in its broad and significant impact on various sectors. The housing market is a cornerstone of economic activity; it directly affects industries such as construction, home furnishings, manufacturing, and retail. An increase in new home sales typically signals a robust economy, fostering consumer confidence and spending. Conversely, a decline in new home sales can be an early warning signal of economic slowdown or recession. For investors, New Home Sales YoY offers a litmus test for the housing market’s performance, which can directly influence investment decisions in housing stocks, real estate investment trusts (REITs), and even broader equity markets. A consistent upward trend in new home sales underscores strong economic conditions conducive to price appreciation and higher returns. Meanwhile, a downward trend might prompt investors to readjust their portfolios to hedge against potential market downturns. The bond market also has a symbiotic relationship with new home sales data. Rising home sales often lead to increased consumption and can drive inflationary pressures, influencing central banks' monetary policies. For instance, if new home sales are surging, it may prompt a central bank, like the Federal Reserve in the United States, to raise interest rates to prevent the economy from overheating. This prospect impacts bond yields since higher interest rates typically lead to lower bond prices and higher yields. Therefore, bond investors keep a close eye on new home sales data to anticipate shifts in monetary policy. Economists look at New Home Sales YoY as a diagnostic tool for assessing housing market conditions and their ripple effects throughout the economy. They analyze factors driving trends in new home sales, such as mortgage rates, consumer income levels, employment rates, and broader economic indicators like GDP growth. For instance, lower mortgage rates often reduce borrowing costs, enticing more consumers to purchase new homes. Similarly, robust job growth and rising incomes typically boost consumer confidence, leading to higher new home sales. Conversely, if new home sales are declining, it may indicate underlying economic issues such as rising mortgage rates, stagnating wages, or waning consumer confidence. In such cases, policymakers might need to consider interventions, such as fiscal stimulus or adjustments to monetary policy, to stabilize the market and support economic growth. For example, during the 2008 financial crisis, plummeting new home sales highlighted the gravity of the economic downturn, prompting massive fiscal stimulus and monetary policy easing. Understanding the geographical breakdown of New Home Sales YoY can also provide nuanced insights. For instance, some regions may experience booming home sales due to local economic conditions, infrastructure developments, or demographic shifts. Conversely, other areas might see declining sales due to economic contractions, population declines, or regulatory constraints. Such regional analysis helps investors, policymakers, and economists tailor their strategies and decisions to specific market conditions. Additionally, New Home Sales YoY data can shed light on the types of homes driving market trends. For instance, are the majority of sales occurring in affordable housing segments, or is there a surge in luxury home purchases? This analysis can offer insights into consumer preferences and financial health. For example, a rise in luxury home sales might indicate higher disposable incomes among wealthier demographics, while a surge in affordable home sales could reflect increased demand among first-time buyers or lower-income households. Developers and construction companies closely monitor New Home Sales YoY to adjust their building strategies. An upward trend in new home sales might encourage developers to increase construction activity, invest in new projects, or expand into growing markets. Conversely, a declining trend might prompt developers to scale back projects, focus on liquidating existing inventory, or diversify into other real estate segments like commercial or rental properties. Moreover, suppliers of construction materials, home furnishings, and related products also benefit from understanding New Home Sales YoY. For example, increased new home sales typically lead to higher demand for building materials like lumber, concrete, and steel, as well as home furnishings and appliances. Suppliers can use sales data to forecast demand, manage inventories, and adjust production schedules to align with market trends. From a policy perspective, New Home Sales YoY data is invaluable for government agencies and local authorities in shaping housing policies, zoning regulations, and infrastructure projects. For instance, a consistent rise in new home sales might necessitate the expansion of utilities, transportation networks, and public services to accommodate growing populations. Alternatively, a decline may prompt considerations for affordable housing initiatives or economic revitalization efforts to stimulate the housing market. In conclusion, the New Home Sales YoY metric serves as a multifaceted indicator with wide-reaching implications across various sectors of the economy. At Eulerpool, we emphasize the importance of this data for investors, economists, policymakers, and industry professionals. By providing a comprehensive view of housing market trends, consumer behavior, and economic conditions, New Home Sales YoY offers crucial insights that inform strategic decisions, drive market trends, and shape economic policies. As you navigate the complexities of the macroeconomic landscape, let Eulerpool be your trusted partner in harnessing the power of data for informed decision-making.