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United Kingdom Nationwide Housing Prices Month-over-Month (MoM)
Price
The current value of the Nationwide Housing Prices Month-over-Month (MoM) in United Kingdom is 0.3 %. The Nationwide Housing Prices Month-over-Month (MoM) in United Kingdom increased to 0.3 % on 7/1/2024, after it was 0.2 % on 6/1/2024. From 2/1/1991 to 9/1/2024, the average GDP in United Kingdom was 0.4 %. The all-time high was reached on 6/1/1993 with 3.5 %, while the lowest value was recorded on 5/1/2008 with -3.1 %.
Nationwide Housing Prices Month-over-Month (MoM) ·
3 years
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10 years
25 Years
Max
| Nationwide Housing Prices MoM | |
|---|---|
| 2/1/1991 | 0.3 % |
| 4/1/1991 | 0.6 % |
| 5/1/1991 | 0.1 % |
| 6/1/1991 | 0.8 % |
| 10/1/1991 | 0.2 % |
| 11/1/1991 | 0.4 % |
| 3/1/1992 | 0.3 % |
| 5/1/1992 | 0.3 % |
| 1/1/1993 | 1.3 % |
| 2/1/1993 | 0.2 % |
| 4/1/1993 | 2.1 % |
| 6/1/1993 | 3.5 % |
| 12/1/1993 | 1.2 % |
| 1/1/1994 | 1.1 % |
| 3/1/1994 | 0.8 % |
| 7/1/1994 | 0.9 % |
| 9/1/1994 | 0.6 % |
| 10/1/1994 | 2.3 % |
| 3/1/1995 | 1.2 % |
| 7/1/1995 | 0.3 % |
| 11/1/1995 | 0.8 % |
| 1/1/1996 | 0.5 % |
| 2/1/1996 | 0.9 % |
| 4/1/1996 | 1.5 % |
| 6/1/1996 | 0.7 % |
| 7/1/1996 | 0.3 % |
| 8/1/1996 | 1.3 % |
| 9/1/1996 | 1 % |
| 10/1/1996 | 0.9 % |
| 11/1/1996 | 1.5 % |
| 1/1/1997 | 0.3 % |
| 2/1/1997 | 1.2 % |
| 3/1/1997 | 0.9 % |
| 4/1/1997 | 0.9 % |
| 5/1/1997 | 1 % |
| 6/1/1997 | 1.5 % |
| 7/1/1997 | 1.6 % |
| 8/1/1997 | 1.1 % |
| 9/1/1997 | 1.7 % |
| 10/1/1997 | 0.4 % |
| 11/1/1997 | 0.9 % |
| 12/1/1997 | 0.7 % |
| 1/1/1998 | 0.7 % |
| 2/1/1998 | 0.9 % |
| 3/1/1998 | 0.3 % |
| 4/1/1998 | 0.7 % |
| 5/1/1998 | 0.9 % |
| 6/1/1998 | 0.8 % |
| 7/1/1998 | 1.3 % |
| 9/1/1998 | 0.1 % |
| 10/1/1998 | 0.6 % |
| 11/1/1998 | 0.2 % |
| 12/1/1998 | 0.8 % |
| 1/1/1999 | 1 % |
| 2/1/1999 | 0.4 % |
| 3/1/1999 | 0.9 % |
| 4/1/1999 | 0.4 % |
| 5/1/1999 | 1.1 % |
| 6/1/1999 | 0.7 % |
| 7/1/1999 | 0.8 % |
| 8/1/1999 | 2.3 % |
| 9/1/1999 | 1.2 % |
| 10/1/1999 | 1.2 % |
| 11/1/1999 | 1.7 % |
| 12/1/1999 | 0.8 % |
| 1/1/2000 | 0.7 % |
| 2/1/2000 | 2.2 % |
| 3/1/2000 | 1.8 % |
| 4/1/2000 | 1.5 % |
| 9/1/2000 | 0.3 % |
| 10/1/2000 | 1 % |
| 11/1/2000 | 1 % |
| 12/1/2000 | 0.9 % |
| 1/1/2001 | 2.5 % |
| 3/1/2001 | 0.8 % |
| 4/1/2001 | 1 % |
| 5/1/2001 | 0.8 % |
| 6/1/2001 | 1.3 % |
| 7/1/2001 | 1.2 % |
| 8/1/2001 | 0.9 % |
| 9/1/2001 | 2.7 % |
| 11/1/2001 | 0.8 % |
| 12/1/2001 | 1.7 % |
| 1/1/2002 | 0.6 % |
| 2/1/2002 | 1.6 % |
| 3/1/2002 | 0.7 % |
| 4/1/2002 | 3.3 % |
| 5/1/2002 | 2.1 % |
| 6/1/2002 | 2.9 % |
| 7/1/2002 | 2.1 % |
| 8/1/2002 | 2.4 % |
| 9/1/2002 | 2.2 % |
| 10/1/2002 | 1.3 % |
| 11/1/2002 | 2 % |
| 12/1/2002 | 1.5 % |
| 1/1/2003 | 1.5 % |
| 2/1/2003 | 0.3 % |
| 3/1/2003 | 1.9 % |
| 5/1/2003 | 1.3 % |
| 6/1/2003 | 1.2 % |
| 7/1/2003 | 0.8 % |
| 8/1/2003 | 1.4 % |
| 9/1/2003 | 1.3 % |
| 10/1/2003 | 1.8 % |
| 11/1/2003 | 1.2 % |
| 12/1/2003 | 1.9 % |
| 1/1/2004 | 0.3 % |
| 2/1/2004 | 2.7 % |
| 3/1/2004 | 1.7 % |
| 4/1/2004 | 1.6 % |
| 5/1/2004 | 1.8 % |
| 6/1/2004 | 1.1 % |
| 7/1/2004 | 1.7 % |
| 8/1/2004 | 0.3 % |
| 9/1/2004 | 0.3 % |
| 11/1/2004 | 0.9 % |
| 2/1/2005 | 0.6 % |
| 4/1/2005 | 0.6 % |
| 5/1/2005 | 0.5 % |
| 7/1/2005 | 0.2 % |
| 8/1/2005 | 0.1 % |
| 10/1/2005 | 0.9 % |
| 12/1/2005 | 0.7 % |
| 1/1/2006 | 1.3 % |
| 3/1/2006 | 1.2 % |
| 4/1/2006 | 0.1 % |
| 5/1/2006 | 0.4 % |
| 6/1/2006 | 0.3 % |
| 7/1/2006 | 1 % |
| 8/1/2006 | 0.8 % |
| 9/1/2006 | 1.2 % |
| 10/1/2006 | 0.6 % |
| 11/1/2006 | 1.6 % |
| 12/1/2006 | 1.6 % |
| 1/1/2007 | 0.1 % |
| 2/1/2007 | 0.9 % |
| 3/1/2007 | 0.4 % |
| 4/1/2007 | 0.9 % |
| 5/1/2007 | 0.4 % |
| 6/1/2007 | 1 % |
| 8/1/2007 | 0.6 % |
| 9/1/2007 | 0.5 % |
| 10/1/2007 | 1.3 % |
| 3/1/2009 | 1 % |
| 5/1/2009 | 0.9 % |
| 6/1/2009 | 1.1 % |
| 7/1/2009 | 1.6 % |
| 8/1/2009 | 1.7 % |
| 9/1/2009 | 0.9 % |
| 10/1/2009 | 0.7 % |
| 11/1/2009 | 0.6 % |
| 12/1/2009 | 0.5 % |
| 1/1/2010 | 1.3 % |
| 3/1/2010 | 0.8 % |
| 4/1/2010 | 1.3 % |
| 5/1/2010 | 0.1 % |
| 6/1/2010 | 0.1 % |
| 9/1/2010 | 0.1 % |
| 12/1/2010 | 0.3 % |
| 2/1/2011 | 0.1 % |
| 3/1/2011 | 1 % |
| 5/1/2011 | 0.1 % |
| 6/1/2011 | 0.3 % |
| 7/1/2011 | 0.4 % |
| 9/1/2011 | 0.2 % |
| 11/1/2011 | 0.4 % |
| 2/1/2012 | 0.4 % |
| 5/1/2012 | 0.2 % |
| 8/1/2012 | 1 % |
| 10/1/2012 | 0.4 % |
| 11/1/2012 | 0.1 % |
| 1/1/2013 | 0.4 % |
| 2/1/2013 | 0.3 % |
| 3/1/2013 | 0.2 % |
| 5/1/2013 | 0.5 % |
| 6/1/2013 | 0.4 % |
| 7/1/2013 | 1.3 % |
| 8/1/2013 | 0.4 % |
| 9/1/2013 | 1.2 % |
| 10/1/2013 | 1 % |
| 11/1/2013 | 0.9 % |
| 12/1/2013 | 1.3 % |
| 1/1/2014 | 0.8 % |
| 2/1/2014 | 0.9 % |
| 3/1/2014 | 0.4 % |
| 4/1/2014 | 1.2 % |
| 5/1/2014 | 0.8 % |
| 6/1/2014 | 1.1 % |
| 7/1/2014 | 0.1 % |
| 8/1/2014 | 0.7 % |
| 10/1/2014 | 0.5 % |
| 11/1/2014 | 0.5 % |
| 1/1/2015 | 0.4 % |
| 4/1/2015 | 1.2 % |
| 5/1/2015 | 0.5 % |
| 7/1/2015 | 0.4 % |
| 8/1/2015 | 0.3 % |
| 9/1/2015 | 0.5 % |
| 10/1/2015 | 0.6 % |
| 11/1/2015 | 0.2 % |
| 12/1/2015 | 0.6 % |
| 1/1/2016 | 0.4 % |
| 2/1/2016 | 0.3 % |
| 3/1/2016 | 0.9 % |
| 4/1/2016 | 0.4 % |
| 5/1/2016 | 0.5 % |
| 7/1/2016 | 0.3 % |
| 8/1/2016 | 0.8 % |
| 9/1/2016 | 0.2 % |
| 12/1/2016 | 0.6 % |
| 1/1/2017 | 0.1 % |
| 2/1/2017 | 0.5 % |
| 5/1/2017 | 0.3 % |
| 6/1/2017 | 0.8 % |
| 7/1/2017 | 0.1 % |
| 9/1/2017 | 0.4 % |
| 10/1/2017 | 0.2 % |
| 12/1/2017 | 0.8 % |
| 1/1/2018 | 0.7 % |
| 4/1/2018 | 0.1 % |
| 5/1/2018 | 0.2 % |
| 6/1/2018 | 0.3 % |
| 7/1/2018 | 0.6 % |
| 9/1/2018 | 0.3 % |
| 11/1/2018 | 0.1 % |
| 1/1/2019 | 0.3 % |
| 3/1/2019 | 0.1 % |
| 4/1/2019 | 0.3 % |
| 6/1/2019 | 0.2 % |
| 7/1/2019 | 0.5 % |
| 10/1/2019 | 0.2 % |
| 11/1/2019 | 0.4 % |
| 12/1/2019 | 0.1 % |
| 1/1/2020 | 0.8 % |
| 2/1/2020 | 0.1 % |
| 3/1/2020 | 0.8 % |
| 4/1/2020 | 0.9 % |
| 7/1/2020 | 2.2 % |
| 8/1/2020 | 1.6 % |
| 9/1/2020 | 1.3 % |
| 10/1/2020 | 1 % |
| 11/1/2020 | 1.1 % |
| 12/1/2020 | 0.9 % |
| 1/1/2021 | 0.1 % |
| 2/1/2021 | 0.5 % |
| 4/1/2021 | 2.2 % |
| 5/1/2021 | 1.6 % |
| 6/1/2021 | 0.5 % |
| 8/1/2021 | 1.8 % |
| 9/1/2021 | 0.5 % |
| 10/1/2021 | 0.9 % |
| 11/1/2021 | 1.2 % |
| 12/1/2021 | 1.2 % |
| 1/1/2022 | 1 % |
| 2/1/2022 | 1.7 % |
| 3/1/2022 | 1.2 % |
| 4/1/2022 | 0.1 % |
| 5/1/2022 | 0.6 % |
| 6/1/2022 | 0.1 % |
| 7/1/2022 | 0.1 % |
| 8/1/2022 | 0.9 % |
| 4/1/2023 | 0.4 % |
| 6/1/2023 | 0.1 % |
| 9/1/2023 | 0.1 % |
| 10/1/2023 | 0.9 % |
| 11/1/2023 | 0.3 % |
| 1/1/2024 | 0.7 % |
| 2/1/2024 | 0.7 % |
| 5/1/2024 | 0.4 % |
| 6/1/2024 | 0.2 % |
| 7/1/2024 | 0.3 % |
Nationwide Housing Prices Month-over-Month (MoM) History
| Date | Value |
|---|---|
| 7/1/2024 | 0.3 % |
| 6/1/2024 | 0.2 % |
| 5/1/2024 | 0.4 % |
| 2/1/2024 | 0.7 % |
| 1/1/2024 | 0.7 % |
| 11/1/2023 | 0.3 % |
| 10/1/2023 | 0.9 % |
| 9/1/2023 | 0.1 % |
| 6/1/2023 | 0.1 % |
| 4/1/2023 | 0.4 % |
Similar Macro Indicators to Nationwide Housing Prices Month-over-Month (MoM)
| Name | Current | Previous | Frequency |
|---|---|---|---|
🇬🇧 Average House Prices | 291,268 GBP | 289,042 GBP | Monthly |
🇬🇧 Construction Contracts | -2.9 % | -30.1 % | Quarter |
🇬🇧 Construction Output | -1.6 % | -1.7 % | Monthly |
🇬🇧 Construction PMI | 55.3 points | 52.2 points | Monthly |
🇬🇧 Home Price Index MoM | 0.3 % | 0.3 % | Monthly |
🇬🇧 Homeownership Rate | 65.2 % | 65 % | Annually |
🇬🇧 Housing Index | 505.9 points | 504.5 points | Monthly |
🇬🇧 Housing Price Index YoY | 1.5 % | 1.1 % | Monthly |
🇬🇧 Housing starts | 22,990 units | 22,580 units | Quarter |
🇬🇧 Mortgage approvals | 64,860 | 62,500 | Monthly |
🇬🇧 Mortgage Interest Rate | 7.69 % | 7.83 % | Monthly |
🇬🇧 Mortgage loan | 2.861 B GBP | 2.796 B GBP | Monthly |
🇬🇧 National Housing Prices | 530.83 points | 529.4 points | Monthly |
🇬🇧 Nationwide Housing Prices YoY | 3.2 % | 2.4 % | Monthly |
🇬🇧 Price-Rent Ratio | 117.596 | 118.258 | Quarter |
🇬🇧 Private Rental Prices | 8.9 % | 9.2 % | Monthly |
🇬🇧 Residential property prices | -1.71 % | -0.79 % | Quarter |
🇬🇧 RICS Housing Price Balance | 1 % | -18 % | Monthly |
The Nationwide house price index serves as an indicator of trends in UK house prices. This index is calculated based on house purchase transactions by owner-occupiers that involve a mortgage. Transactions involving buy-to-let and cash purchases are excluded.
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇦🇩Andorra
What is Nationwide Housing Prices Month-over-Month (MoM)?
The Nationwide Housing Prices Month-over-Month (MoM) metric is a pivotal gauge within the realm of macroeconomic analysis, offering invaluable insights into the state of the housing market, consumer behavior, and broader economic trends. As a comprehensive indicator, it reflects the monthly fluctuations in housing prices across an entire nation, providing a detailed snapshot of the real estate sector's short-term dynamics. For a professional website like Eulerpool, dedicated to presenting robust and extensive macroeconomic data, the importance of the Nationwide Housing Prices MoM category cannot be overstated. To appreciate the full import of the Nationwide Housing Prices MoM data, one must recognize its role as a barometer of economic vitality. Housing markets are intricately tied to the health of the broader economy; they influence, and are influenced by, various economic factors. Consequently, monthly changes in housing prices are not merely of interest to real estate professionals or potential homeowners but resonate across the spectrum of economic stakeholders, including policymakers, investors, and analysts. At its core, the Nationwide Housing Prices MoM metric examines the percentage change in the average home prices from one month to the next. This approach allows for a timely and sensitive reflection of trends and shifts within the housing market. Unlike year-over-year comparisons, which may mask subtler trends under the weight of long-term data, month-over-month analysis offers a more granular view that can highlight emergent patterns or abrupt changes in the market. One paramount aspect of the Nationwide Housing Prices MoM data is its direct connection to demand and supply dynamics within the housing sector. Changes in this metric often signal shifts in the balance between the availability of homes and the purchasing power and willingness of consumers to buy. For instance, a consistent increase in housing prices MoM can indicate robust demand possibly fueled by economic growth, rising incomes, or favorable interest rates. Conversely, a consistent decline may point to a cooling market, influenced perhaps by economic uncertainty, rising loan rates, or an oversupply of homes. Moreover, the Nationwide Housing Prices MoM metric plays a significant role in shaping and reflecting consumer confidence. A booming housing market with rising prices typically suggests an optimistic outlook among consumers, buoyed by the perception of increasing wealth and stability. Such sentiment can spur further economic activity as homeowners feel wealthier and more inclined to spend, borrow, or invest. Conversely, falling housing prices might dampen consumer confidence, triggering a more cautious approach to spending and investment. For investors, the Nationwide Housing Prices MoM data is an essential indicator within their analytical toolkit. The real estate sector is a substantial component of many investment portfolios, including those managed by institutional investors, pension funds, and private equity firms. Month-over-month changes in housing prices can influence decisions regarding asset allocation, risk assessment, and future investment strategies. An uptick in prices might encourage investment into real estate assets, while a downturn could prompt a reallocation towards more stable or counter-cyclical investments. Policymakers also keep a close eye on the Nationwide Housing Prices MoM data as it informs monetary and fiscal policy decisions. Central banks, for instance, monitor housing price trends as part of their efforts to manage inflation and economic stability. A rapid increase in housing prices might trigger interventions to cool an overheating market through adjustments in interest rates or lending policies. Similarly, a decline in housing prices might lead to stimulus measures aimed at rejuvenating economic activity and stabilizing the housing sector. Beyond the immediate context of real estate, the Nationwide Housing Prices MoM metric has far-reaching implications for other economic sectors. It can influence labor mobility, as significant fluctuations in housing affordability affect where people can or cannot live, thereby impacting local labor markets and economic productivity. Furthermore, trends in housing prices intersect with issues of social equity and housing affordability, areas of growing concern for many nations grappling with housing crises. For a data-centric platform like Eulerpool, delivering detailed Nationwide Housing Prices MoM statistics involves not only collating and presenting the raw figures but also contextualizing them within a broader economic narrative. This holistic approach ensures that users gain a nuanced understanding of the data and its implications. By integrating various macroeconomic indicators, inflating the analytical depth with cross-references to employment statistics, income levels, and consumer spending habits, Eulerpool can provide a rich, interconnected view of the housing market's role within the larger economic ecosystem. Furthermore, the presentation of Nationwide Housing Prices MoM data on Eulerpool offers a reliable foundation for forecasting and scenario analysis. By examining historical trends and correlating them with other economic variables, analysts can project future movements in housing prices. This predictive capability is crucial for strategic planning, whether for businesses deciding on expansion plans or for regional governments developing housing policies. In conclusion, the Nationwide Housing Prices Month-over-Month category is an indispensable component of macroeconomic analysis offered by Eulerpool. It encapsulates the dynamic nature of the housing market, mirroring broader economic trends and providing essential insights for a wide array of stakeholders. Understanding and analyzing this metric helps paint a detailed picture of economic health, consumer behavior, and future trends, positioning Eulerpool as a vital resource for anyone seeking comprehensive and insightful economic data.