26 datasets found
  1. Great Recession: real house price index in Europe's weakest economies...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: real house price index in Europe's weakest economies 2005-2011 [Dataset]. https://www.statista.com/statistics/1348857/great-recession-house-price-bubbles-eu/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005 - 2011
    Area covered
    Europe
    Description

    Portugal, Italy, Ireland, Greece, and Spain were widely considered the Eurozone's weakest economies during the Great Recession and subsequent Eurozone debt crisis. These countries were grouped together due to the similarities in their economic crises, with much of them driven by house price bubbles which had inflated over the early 2000s, before bursting in 2007 due to the Global Financial Crisis. Entry into the Euro currency by 2002 had meant that banks could lend to house buyers in these countries at greatly reduced rates of interest.

    This reduction in the cost of financing contributed to creating housing bubbles, which were further boosted by pro-cyclical housing policies among many of the countries' governments. In spite of these economies experiencing similar economic problems during the crisis, Italy and Portugal did not experience housing bubbles in the same way in which Greece, Ireland, and Spain did. In the latter countries, their real housing prices (which are adjusted for inflation) peaked in 2007, before quickly declining during the recession. In particular, house prices in Ireland dropped by over 40 percent from their peak in 2007 to 2011.

  2. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
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    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q2 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  3. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
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    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  4. F

    Real Residential Property Prices for United States

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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    (2025). Real Residential Property Prices for United States [Dataset]. https://fred.stlouisfed.org/series/QUSR628BIS
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

  5. U.S. metro areas at highest risk of a housing downturn in recession 2019

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). U.S. metro areas at highest risk of a housing downturn in recession 2019 [Dataset]. https://www.statista.com/statistics/1091659/housing-market-metro-highest-risk-downturn-recession-usa/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    In a 2019 analysis, Riverside, California was the most at risk of a housing downturn in a recession out of the ** largest metro areas in the United States. The Californian metro area received an overall score of **** percent, which was compiled after factors such as home price volatility and average home loan-to-value ratio were examined.

  6. o

    Replication data for: The Effect of House Prices on Household Borrowing: A...

    • openicpsr.org
    Updated Jun 1, 2019
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    James Cloyne; Kilian Huber; Ethan Ilzetzki; Henrik Kleven (2019). Replication data for: The Effect of House Prices on Household Borrowing: A New Approach [Dataset]. http://doi.org/10.3886/E116205V1
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    Dataset updated
    Jun 1, 2019
    Dataset provided by
    American Economic Association
    Authors
    James Cloyne; Kilian Huber; Ethan Ilzetzki; Henrik Kleven
    Description

    We investigate the effect of house prices on household borrowing using administrative mortgage data from the United Kingdom and a new empirical approach. The data contain household-level information on house prices and borrowing in a panel of homeowners, who refinance at regular and quasi-exogenous intervals. The data and setting allow us to develop an empirical approach that exploits house price variation coming from the idiosyncratic and exogenous timing of refinance events around the Great Recession. We present two main results. First, there is a clear and robust effect of house prices on borrowing. Second, the effect of house prices on borrowing can be explained largely by collateral effects. We study the collateral channel through a multivariate and nonparametric heterogeneity analysis of proxies for collateral and wealth effects.

  7. F

    All-Transactions House Price Index for Reno, NV (MSA)

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
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    (2025). All-Transactions House Price Index for Reno, NV (MSA) [Dataset]. https://fred.stlouisfed.org/series/ATNHPIUS39900Q
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    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Reno-Sparks, NV, Nevada, Reno
    Description

    Graph and download economic data for All-Transactions House Price Index for Reno, NV (MSA) (ATNHPIUS39900Q) from Q2 1978 to Q2 2025 about Reno, NV, appraisers, HPI, housing, price index, indexes, price, and USA.

  8. F

    S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index

    • fred.stlouisfed.org
    json
    Updated Sep 30, 2025
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    (2025). S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index [Dataset]. https://fred.stlouisfed.org/series/LXXRSA
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    jsonAvailable download formats
    Dataset updated
    Sep 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    California, Los Angeles
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller CA-Los Angeles Home Price Index (LXXRSA) from Jan 1987 to Jul 2025 about Los Angeles, CA, HPI, housing, price index, indexes, price, and USA.

  9. Focus on London - Housing - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Mar 23, 2017
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    ckan.publishing.service.gov.uk (2017). Focus on London - Housing - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/focus-on-london-housing
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    Dataset updated
    Mar 23, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London
    Description

    FOCUSONLONDON2011: HOUSING:AGROWINGCITY With the highest average incomes in the country but the least space to grow, demand for housing in London has long outstripped supply, resulting in higher housing costs and rising levels of overcrowding. The pressures of housing demand in London have grown in recent years, in part due to fewer people leaving London to buy homes in other regions. But while new supply during the recession held up better in London than in other regions, it needs to increase significantly in order to meet housing needs and reduce housing costs to more affordable levels. This edition of Focus on London authored by James Gleeson in the Housing Unit looks at housing trends in London, from the demand/supply imbalance to the consequences for affordability and housing need. PRESENTATION: How much pressure is London’s popularity putting on housing provision in the capital? This interactive presentation looks at the effect on housing pressure of demographic changes, and recent new housing supply, shown by trends in overcrowding and house prices. Click on the start button at the bottom of the slide to access. View Focus on London - Housing: A Growing City on Prezi FACTS: Some interesting facts from the data… ● Five boroughs with the highest proportion of households that have lived at their address for less than 12 months in 2009/10:

  10. Northern Ireland house price index 2007-2023, per quarter

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Northern Ireland house price index 2007-2023, per quarter [Dataset]. https://www.statista.com/statistics/526060/residential-property-price-index-northern-ireland/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ireland, Northern Ireland
    Description

    It can be seen that the Northern Ireland house price index was ***** points in the third quarter of 2007, but during the global recession it decreased and never re-gained the pre-crash levels. As of the third quarter of 2023 the residential property price index in Northern Ireland was *****, up from ***** in the same period in the previous year.

  11. i

    Mortgage Brokers in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Mortgage Brokers in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/mortgage-brokers-industry/
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Mortgage brokers’ revenue is anticipated to climb at a compound annual rate of 4.5% over the five years through 2024-25 to £2.3 billion, including estimated growth of . Rising residential property transactions stimulated by government initiatives and rising house prices have driven industry growth. However, mortgage brokers have faced numerous obstacles, including downward pricing pressures from upstream lenders and a sharp downturn in the housing market as rising mortgage rates ramped up the cost of borrowing. After a standstill in residential real estate activity in the immediate aftermath of the COVID-19 outbreak, ultra-low base rates, the release of pent-up demand, the introduction of tax incentives and buyers reassessing their living situation fuelled a V-shaped recovery in the housing market. This meant new mortgage approvals for house purchases boomed going into 2021-22, ramping up demand for brokerage services. 2022-23 was a year rife with economic headwinds, from rising interest rates to fears of a looming recession. Yet, the housing market stood its ground, with brokers continuing to benefit from rising prices. Elevated mortgage rates eventually hit demand for houses in the first half of 2023, contributing to lacklustre house price growth in 2023-24, hurting revenue, despite a modest recovery in the second half of the year as mortgage rates came down. In 2024-25, lower mortgage rates and an improving economic outlook support house prices, driving revenue growth. Mortgage brokers’ revenue is anticipated to swell at a compound annual rate of 5.3% over the five years through 2029-30 to £2.9 billion. Competition from direct lending will ramp up. Yet, growth opportunities remain. The emergence of niche mortgage products, like those targeting retired individuals and contractors, as well as green mortgages, will support revenue growth in the coming years. AI is also set to transform the industry, improving cost efficiencies by automating tasks like document verification, risk assessment and customer profiling.

  12. House Construction Downturn: More Than Just a Problem for Builders

    • ibisworld.com
    Updated Jul 19, 2022
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    IBISWorld (2022). House Construction Downturn: More Than Just a Problem for Builders [Dataset]. https://www.ibisworld.com/blog/house-construction-downturn/61/1126/
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    Dataset updated
    Jul 19, 2022
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Jul 19, 2022
    Description

    As supply and demand issues continue wreaking havoc on housing construction in Australia, many other upstream and downstream industries will likely also feel the pain.

  13. Index of commercial property prices in the U.S. 2014-2025, by quarter

    • statista.com
    Updated May 7, 2025
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    Statista Research Department (2025). Index of commercial property prices in the U.S. 2014-2025, by quarter [Dataset]. https://www.statista.com/topics/1073/commercial-property/
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    Dataset updated
    May 7, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    Commercial property prices in the U.S. plateaued in 2025 after declining in 2023. Between 2014 and 2021, commercial real estate prices nearly doubled, with the index reaching 208.5 index points. Following a slowdown in the market, the index declined, falling to 179.24 index points in the second quarter of 2025. Despite the correction, this indicated an increase of almost 80 percent in prices since 2010, which was the baseline year for the index. How have prices of different property types developed over the past years? After more than a decade of uninterrupted growth, office real estate prices started to decline in 2022, reflecting a decline in occupier demand and a tougher lending environment. Industrial real estate prices, which have grown rapidly over the past few years, also experienced a correction in late 2022. Retail real estate prices displayed most resilience amid the difficult economic environment, with the equal-weighted repeat sales index remaining stable. How much is invested in new commercial properties? The value of commercial real estate construction has been on the rise since 2010 in the United States. This trend mirrors the recovery seen across all economic sectors after the 2007-2009 recession. However, investment volumes in commercial property vary by type, with private office space, warehouses, and retail leading the pack.

  14. o

    Replication data for: A Simple Model of Subprime Borrowers and Credit Growth...

    • openicpsr.org
    Updated May 1, 2016
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    Alejandro Justiniano; Giorgio E. Primiceri; Andrea Tambalotti (2016). Replication data for: A Simple Model of Subprime Borrowers and Credit Growth [Dataset]. http://doi.org/10.3886/E116314V1
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    Dataset updated
    May 1, 2016
    Dataset provided by
    American Economic Association
    Authors
    Alejandro Justiniano; Giorgio E. Primiceri; Andrea Tambalotti
    Time period covered
    Jan 2000 - Dec 2006
    Area covered
    United States
    Description

    The surge in credit and house prices that preceded the Great Recession was particularly pronounced in ZIP codes with a higher fraction of subprime borrowers (Mian and Sufi, 2009). We present a simple model with prime and subprime borrowers distributed across geographic locations, which can reproduce this stylized fact as a result of an expansion in the supply of credit. Due to their low income, subprime households are constrained in their ability to meet interest payments and hence sustain debt. As a result, when the supply of credit increases and interest rates fall, they take on disproportionately more debt than their prime counterparts, who are not subject to that constraint.

  15. Population in Germany 2019-2023, by housing situation

    • statista.com
    Updated Feb 26, 2024
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    Statista Research Department (2024). Population in Germany 2019-2023, by housing situation [Dataset]. https://www.statista.com/topics/8603/housing-market-in-germany/
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    Dataset updated
    Feb 26, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Germany
    Description

    Most of the German population rented their housing. In 2023, around 37 million people did so, compared to roughly 27.9 million who had their own house. The German real estate market does offer different housing options, but it is also an increasingly tough one for tenants and future homeowners to navigate amid the ongoing recession. Competitive and expensive Becoming a homeowner is getting more and more difficult in Germany. After almost a decade of uninterrupted growth, the market has entered a period of downturn. For years, homebuyers could access cheap credit, with mortgage rates as low as 1.5 percent. However, in 2022 and 2023, mortgage rates have increased strongly to over four percent, making it much more expensive to invest in residential property. In addition to that, prices for owner occupied houses have increased by over 57 percent since 2015, house price growth had also overtaken that of rentals the same year, making renting the cheaper living option, especially for younger people. The summary of the housing situation sounds familiar worldwide: fierce competition in urban areas when searching for rentals, with demand far outstripping supply, as well as rising property prices for those considering a house purchase. Somewhere to live The decision to rent rather than buy may occur for various reasons. Tenants may simply not be ready financially to buy a home, be that a house or apartment, or they would not be considered by a bank for a loan based on their current earnings. They may be pressed for time and hope to find a place to rent quicker, while buying a home is a long-term commitment, leading to different types of costs and legalities. A decreasing number of people lived in shared apartments in recent years, but figures had not changed so much as to rule this type of housing out as a popular option. Shared or not, the average rent prices of residential property in Germany have been going up year after year, both for new buildings and older ones.

  16. e

    Focus on London - Housing

    • data.europa.eu
    • data.wu.ac.at
    excel xls, pdf
    Updated Oct 17, 2011
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    Greater London Authority (2011). Focus on London - Housing [Dataset]. https://data.europa.eu/data/datasets/focus-on-london-housing?locale=en
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    pdf, excel xlsAvailable download formats
    Dataset updated
    Oct 17, 2011
    Dataset authored and provided by
    Greater London Authority
    Area covered
    London
    Description

    FOCUSON**LONDON**2011: HOUSING:A**GROWING**CITY

    With the highest average incomes in the country but the least space to grow, demand for housing in London has long outstripped supply, resulting in higher housing costs and rising levels of overcrowding. The pressures of housing demand in London have grown in recent years, in part due to fewer people leaving London to buy homes in other regions. But while new supply during the recession held up better in London than in other regions, it needs to increase significantly in order to meet housing needs and reduce housing costs to more affordable levels.

    This edition of Focus on London authored by James Gleeson in the Housing Unit looks at housing trends in London, from the demand/supply imbalance to the consequences for affordability and housing need.

    REPORT:

    Read the report in PDF format.

    https://londondatastore-upload.s3.amazonaws.com/fol/fol11-housing-cover-thumb.jpg" alt="">

    PRESENTATION:

    How much pressure is London’s popularity putting on housing provision in the capital? This interactive presentation looks at the effect on housing pressure of demographic changes, and recent new housing supply, shown by trends in overcrowding and house prices. Click on the start button at the bottom of the slide to access.

    View Focus on London - Housing: A Growing City on Prezi

    HISTOGRAM:

    This histogram shows a selection of borough data and helps show areas that are similar to one another by each indicator.

    Histogram

    MOTION CHART:

    This motion chart shows how the relationship, between key housing related indicators at borough level, changes over time.

    Motion Chart

    MAP:

    These interactive borough maps help to geographically present a range of housing data within London, as well as presenting trend data where available.

    MAP

    DATA:

    All the data contained within the Housing: A Growing City report as well as the data used to create the charts and maps can be accessed in this spreadsheet.

    FACTS:

    Some interesting facts from the data…

    ● Five boroughs with the highest proportion of households that have lived at their address for less than 12 months in 2009/10:

    1. Westminster – 19 per cent
    2. Wandsworth – 17 per cent
    3. Camden – 16 per cent
    4. Lambeth – 14 per cent
    5. Southwark – 13 per cent

    -31. Harrow – 6 per cent

    -32. Havering – 5 per cent

    ● Five boroughs with the highest percentage point increase between 2004 and 2009 of households in the ‘private rented’ sector:

    1. Newham – 17 per cent
    2. Greenwich – 11 per cent
    3. Enfield – 10 per cent
    4. Camden – 9 per cent
    5. Harrow – 8 per cent

    -32. Islington – 1 per cent

    -33. Bexley – 1 per cent

    ● Five boroughs with the highest percentage difference in median house prices between 2007 Q4 and 2010 Q4:

    1. Kensington & Chelsea – 29 per cent
    2. Westminster – 19 per cent
    3. Camden – 15 per cent
    4. Islington – 14 per cent
    5. Southwark – 10 per cent

    -31. Newham – down 9 per cent

    -32. Barking & D’ham – down 9 per cent

  17. Customer Care Centers in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jul 12, 2025
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    IBISWorld (2025). Customer Care Centers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/customer-care-centers/4878
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Customer care centers have been influenced by various short- and long-term factors. Recent years have seen significant revenue volatility for customer care centers because of changing economic conditions. The pandemic prompted widespread business shutdowns, dampening consumer spending and investment in customer care centers. However, rising e-commerce sales during lockdowns partially offset losses. As restrictions eased and spending rebounded, providers’ revenue soared in 2021, only to drop sharply in 2022 under the pressure of high inflation, prompting businesses to slash discretionary spending and bring services in-house. Recessionary fears because of high interest rates have kept demand subdued, although a late 2024 rate cut provided modest relief. Competition has intensified as more new and smaller providers enter the market, pushing prices and profit down, although mergers and acquisitions have let larger customer care centers expand market share. Automation has reduced labor costs, benefiting profitability, though this has been constrained by high inflation that has pushed up purchase expenses. Meanwhile, offshoring trends have continued despite legislative attempts to curb them. Overall, revenue for customer care centers in the US has inched downward at a CAGR of 0.2% over the past five years, reaching $11.6 billion in 2025. This includes a 1.6% rise in revenue in that year. Tariffs imposed by the Trump administration in early 2025 are expected to significantly disrupt customer care centers in the short term by raising consumer prices and manufacturing costs, reducing disposable income and potentially triggering a recession. During a downturn, companies may bring such services in-house or seek geographic expansion to offset slowing income, thus constraining revenue for customer care centers. However, long-term prospects remain moderately positive as productivity gains and a growing number of businesses are expected to boost consumer spending and e-commerce sales, heightening demand for providers' services. The industry will adapt through greater specialization, mostly impacting technology and financial clients. Long-term, AI could become so advanced that it may replace employees’ tasks except for the most complicated questions, potentially severely threatening revenue in the coming decades. Overall, revenue for customer care centers in the US is forecast to creep upward at a CAGR of 0.4% over the next five years, reaching $11.8 billion in 2030.

  18. Great Recession: monthly industrial production in the U.S. from 2007 to 2010...

    • statista.com
    Updated Sep 2, 2024
    + more versions
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    Statista (2024). Great Recession: monthly industrial production in the U.S. from 2007 to 2010 [Dataset]. https://www.statista.com/statistics/1346323/great-recession-industrial-production-us/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2007 - Jan 2010
    Area covered
    United States
    Description

    The Industrial Production Index (IPI) fell sharply in the United States during the Great Recession, reaching its lowest point in June 2009. The recession was triggered by the collapse of the U.S. housing market and the subsequent financial crisis in 2007 and 2008, during which a number of systemically critical financial institutions failed or came close to bankruptcy. The crisis in the financial sector quickly spread to the non-financial economy, where firms were adversely hit by the tightening of credit conditions and the drop in consumer confidence caused by the crisis. The largest monthly drop in the IPI came in September 2008, as Lehman Brothers collapsed and the U.S. government was forced to step in to backstop the financial sector. Industrial production would begin to recover in the Summer of 2009, but remained far below its pre-crisis levels.

  19. Homeownership rate in the U.S. 1990-2024

    • statista.com
    Updated Dec 19, 2023
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    Statista Research Department (2023). Homeownership rate in the U.S. 1990-2024 [Dataset]. https://www.statista.com/topics/5096/us-homebuilders/
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    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The homeownership rate in the United States declined slightly in 2023 and remained stable in 2024. The U.S. homeownership rate was the highest in 2004 before the 2007-2009 recession hit and decimated the housing market. In 2024, the proportion of households occupied by owners stood at 65.7 percent in 2024, 3.5 percentage points below 2004 levels. Homeownership since the recession The rate of homeownership in the U.S. fell in the lead up to the recession and continued to do so until 2016. Despite this trend, the share of Americans who perceived homeownership as part of their personal American dream remained relatively stable. This suggests that the financial hardship caused by the recession led to the fall in homeownership, rather than a change in opinion about the importance of homeownership itself. What the future holds for homeownership Homeownership trends vary from generation to generation. Homeownership among Americans over 65 years old is declining, whereas most Millennial renters plan to buy a home in the near future. This suggests that homeownership will remain important in the future, as Millennials are forecast to head most households over the next two decades.

  20. Rates on 30-year conventional mortgage in the U.S. 1971-2024

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Rates on 30-year conventional mortgage in the U.S. 1971-2024 [Dataset]. https://www.statista.com/statistics/187661/rates-on-conventional-30-year-fixed-mortgages-in-the-us/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    After a period of gradual decline, the average annual rate on a 30-year fixed-rate mortgage in the United States rose to **** percent in 2023, up from the record-low **** percent in 2021. In 2024, interest rates declined slightly. The rate for 15-year fixed mortgages and five-year ARM mortgages followed a similar trend. This was a result of the Federal Reserve increasing the bank rate - a measure introduced to tackle the rising inflation. U.S. home prices going through the roof Mortgage rates have a strong impact on the market – the lower the rate, the lower the loan repayment. The rate on a 30-year fixed-rate mortgage decreasing after the Great Recession has stimulated the market and boosted home sales. Another problem consumers face is the fact that house prices are rising at an unaffordable level. The median sales price of a new home sold surged in 2021, while the median weekly earnings of a full-time employee maintained a more moderate increase. What are the differences between 15-year and 30-year mortgages? Two of the most popular loan terms available to homebuyers are the 15-year fixed-rate mortgage and the 30-year fixed-rate mortgage. The 30-year option appeals to more consumers because the repayment is spread out over 30 years, meaning the monthly payments are lower. Consumers choosing the 15-year option will have to pay higher monthly payments but benefit from lower interest rates.

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Statista (2024). Great Recession: real house price index in Europe's weakest economies 2005-2011 [Dataset]. https://www.statista.com/statistics/1348857/great-recession-house-price-bubbles-eu/
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Great Recession: real house price index in Europe's weakest economies 2005-2011

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Dataset updated
Sep 2, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2005 - 2011
Area covered
Europe
Description

Portugal, Italy, Ireland, Greece, and Spain were widely considered the Eurozone's weakest economies during the Great Recession and subsequent Eurozone debt crisis. These countries were grouped together due to the similarities in their economic crises, with much of them driven by house price bubbles which had inflated over the early 2000s, before bursting in 2007 due to the Global Financial Crisis. Entry into the Euro currency by 2002 had meant that banks could lend to house buyers in these countries at greatly reduced rates of interest.

This reduction in the cost of financing contributed to creating housing bubbles, which were further boosted by pro-cyclical housing policies among many of the countries' governments. In spite of these economies experiencing similar economic problems during the crisis, Italy and Portugal did not experience housing bubbles in the same way in which Greece, Ireland, and Spain did. In the latter countries, their real housing prices (which are adjusted for inflation) peaked in 2007, before quickly declining during the recession. In particular, house prices in Ireland dropped by over 40 percent from their peak in 2007 to 2011.

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