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.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

Lumber rose to 594.50 USD/1000 board feet on September 26, 2025, up 1.89% from the previous day. Over the past month, Lumber's price has risen 6.16%, and is up 11.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on September of 2025.

The housing affordability measure illustrates the relationship between income and housing costs. A household that spends 30% or more of its collective monthly income to cover housing costs is considered to be “housing cost-burden[ed].”[1] Those spending between 30% and 49.9% of their monthly income are categorized as “moderately housing cost-burden[ed],” while those spending more than 50% are categorized as “severely housing cost-burden[ed].”[2]

How much a household spends on housing costs affects the household’s overall financial situation. More money spent on housing leaves less in the household budget for other needs, such as food, clothing, transportation, and medical care, as well as for incidental purchases and saving for the future.

The estimated housing costs as a percentage of household income are categorized by tenure: all households, those that own their housing unit, and those that rent their housing unit.

Throughout the period of analysis, the percentage of housing cost-burdened renter households in Champaign County was higher than the percentage of housing cost-burdened homeowner households in Champaign County. All three categories saw year-to-year fluctuations between 2005 and 2023, and none of the three show a consistent trend. However, all three categories were estimated to have a lower percentage of housing cost-burdened households in 2023 than in 2005.

Data on estimated housing costs as a percentage of monthly income was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Housing Tenure.

[1] Schwarz, M. and E. Watson. (2008). Who can afford to live in a home?: A look at data from the 2006 American Community Survey. U.S. Census Bureau.

[2] Ibid.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (22 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (30 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; 16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).

After a period of rapid increase, house price growth in the UK has moderated. In 2025, house prices are forecast to increase by ****percent. Between 2025 and 2029, the average house price growth is projected at *** percent. According to the source, home building is expected to increase slightly in this period, fueling home buying. On the other hand, higher borrowing costs despite recent easing of mortgage rates and affordability challenges may continue to suppress transaction activity. Historical house price growth in the UK House prices rose steadily between 2015 and 2020, despite minor fluctuations. In the following two years, prices soared, leading to the house price index jumping by about 20 percent. As the market stood in April 2025, the average price for a home stood at approximately ******* British pounds. Rents are expected to continue to grow According to another forecast, the prime residential market is also expected to see rental prices grow in the next five years. Growth is forecast to be stronger in 2025 and slow slightly until 2029. The rental market in London is expected to follow a similar trend, with Outer London slightly outperforming Central London.

Background: Long-term care facilities had the highest rate of COVID-19 deaths in Canada; thus, it was essential to understand the effectiveness of vaccines and the risk factors for outbreaks in the elderly residents of long-term care and retirement homes. Aims of the CITF-funded study: This study aimed to 1) understand the association between outbreaks and features of long-term care and retirement homes; 2) determine the recurrence rate of outbreaks in homes that have been previously exposed; 3) describe residents’ immune response to infection and vaccination; and 4) estimate vaccine effectiveness in residents. Methods: This cohort study recruited residents from participating long-term care and retirement home across Ontario through invitations from research coordinators. Study visits occurred at participants’ first dose and second dose of the COVID-19 vaccine, and then 3 weeks, 3 months, 6 months, 9, and 12 months post- second dose. For those who got a third dose, follow up was done 3 weeks, 3 months, and 6 months after their third dose. Staff, essential visitors, and resident participants were followed up every week or per visit for saliva surveillance active COVID infection . A DBS whole blood sample was given at enrolment and at each follow up for serology testing. Contributed dataset contents: The datasets include 1261 participants who completed baseline surveys between January 2021 and July 2023. 90% of participants gave one or more blood samples between April 2021 and April 2023 for analysis. A total of 6078 samples were collected. Variables include data in the following areas of information: demographics (date of birth, sex, race-ethnicity, indigeneity), general health (weight and height, smoking, flu vaccination, chronic conditions), SARS-CoV-2 outcomes (positive test results, hospitalizations), SARS-CoV-2 vaccination, and serology (IgA, IgG, and IgM against SARS-CoV-2 receptor-binding domain (RBD) and spike (S) protein).

Residential Property Price Index: 18 Cities: Large data was reported at 107.304 2018=100 in Dec 2024. This records an increase from the previous number of 107.109 2018=100 for Sep 2024. Residential Property Price Index: 18 Cities: Large data is updated quarterly, averaging 102.588 2018=100 from Mar 2018 (Median) to Dec 2024, with 28 observations. The data reached an all-time high of 107.304 2018=100 in Dec 2024 and a record low of 99.532 2018=100 in Mar 2018. Residential Property Price Index: 18 Cities: Large data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Global Database’s Indonesia – Table ID.EF010: Residential Property Price Index: by Cities. [COVID-19-IMPACT]

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Company Cars (Module 1a): questions about the number of company cars in the household; total mileage and total business mileage; age of car and value of car when new; engine size. Mortgage Arrears (Module 2): source of mortgage, if any; whether behind in payments, and if so reasons for falling behind. Also question on whether bought from a Right to Buy scheme. Investment (Module 7a): ownership of shares and income from shares, bank accounts and building society accounts. Overseas Transactions (Module 58): financial transactions (receipts or payments) made as a private individual in the past 12 months; value in pound sterling; currency of transaction; reasons for transaction. Youth Services (Module 76): young people aged 11-25 were asked about leisure time activities; whether belongs or goes to a youth club, youth centre, youth group or youth organisation, or takes part in any other youth service activity; whether has ever belonged to a youth organisation; types of groups belongs to and who runs them; how often attends; any voluntary organisations belongs to; type of youth project takes part in and who runs it; whether has taken part in running a youth organisation; attitudes toward the Youth Service; reasons for attending/not attending. GP Accidents (Module 78): accidents in previous three months that resulted in seeing a doctor or going to hospital; where accident happened; whether saw a GP or went straight to hospital. Arrears and Repossessions (Module 79): questions about mortgage arrears and repossessions or voluntary surrenders of accommodation as a result of falling behind with mortgage payments. Marital Status and Cohabitation (Module 90): marital status and marital history; reasons for getting married if living together before marrying; history of previous cohabitation relationships that did not lead to marriage. Buying With a Mortgage (Module 91): reasons for becoming an owner occupier; year present home was bought; purchase price and original amount borrowed; whether previously owned home; whether bought under right to buy scheme; whether re-mortgaged or extended amount borrowed; value of house now; mortgage repayments; assistance with mortgage interest from the Department of Social Security; mortgage arrears in past three years; whether has mortgage protection policy and if so whether has tried to draw on it in past three years; debts on loans, hire purchase or services; net income and sources of income of respondent and spouse; increase or decrease of income over last three years and reasons; whether has any difficulties in paying for housing at present. The data for module 90 are under embargo and are therefore not currently available.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Consumer Durables (Module BDurab): this module contains questions about consumer durables that are either owned by the household or available for use in the respondent's accommodation. Expectation of House Price Changes (Module 137): this module asks respondents' views on changes to house prices in the next year and next five years. Food Safety (Module 214): this module is concerned with food safety in relation to food preparation in the home and food poisoning. It aims to assess awareness of safe preparation of food and actual habits and also whether or not behaviour has changed in light of recent food safety information and food poisoning scares. Use of Computers and the Internet (Module 215): this module was asked on behalf of the Department of Trade and Industry and covers access to personal computers, at home or at work; access to the internet; access to online services and use of CD-ROM. Alcohol and Coronary Heart Disease (Module 216): this module was asked on behalf of the Health Education Authority and covers respondents awareness of the ways in which alcohol can both benefit health and be a health risk. Contributory Benefits (Module 217): this module was asked on behalf of the Department of Social Security and covers social security benefits; respondents' beliefs about contributory benefits; attitudes to entitlement; attitudes to the way rights to contributory benefits are built up. Lone Parents (Module 184): this module was asked on behalf of the Department of Social Security. The questions were taken from a British Attitudes Survey and compare attitudes towards mothers living in couples with children of varying ages with attitudes towards lone mothers. Contraception (Module 170): the Special Licence version of this module is held under SN 6476. Sexual Health (Module 218): this module was asked on behalf of the Health Education Authority and covers awareness and knowledge of sexually transmitted diseases; attitudes to discrimination. Multi-stage stratified random sample Face-to-face interview 1998 ACADEMIC ACHIEVEMENT ADVICE AGE AIDS DISEASE ALCOHOL USE ANSWERPHONES ATTITUDES CENTRAL HEATING CHILD CARE CHILDREN CLEANING COLOUR TELEVISION R... COMPACT DISC PLAYERS COMPUTER SOFTWARE COMPUTERS CONDOM USE CONSUMER GOODS CONTRACEPTIVE DEVICES COOKING COSTS Consumption and con... DAIRY PRODUCTS DISABILITY DISCRIMI... DISABLED PERSONS DISCRIMINATION DISEASES DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS EXPECTATION Economic conditions... FAMILY MEMBERS FINANCIAL SUPPORT FISH AS FOOD FOOD CONTAMINATION FOOD HAZARDS FOOD POISONING FOOD PREPARATION FOOD SAFETY FOOD STORAGE FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... Family life and mar... GENDER GENERAL PRACTITIONERS HEADS OF HOUSEHOLD HEALTH HIV INFECTIONS HOME OWNERSHIP HOMOSEXUALITY HOURS OF WORK HOUSEHOLD PETS HOUSEHOLDS HOUSING HOUSING TENURE Health behaviour History INCOME INDUSTRIES INFLATION INFORMATION AND COM... INFORMATION SOURCES INTEREST FINANCE INTERNET INVESTMENT RETURN Income Information technology JOB DESCRIPTION JOB HUNTING KNOWLEDGE AWARENESS LANDLORDS LEAVE LEGAL STATUS MANAGERS MARITAL STATUS MEALS MEAT MEDICAL CENTRES MOBILE PHONES MODEMS MOTHERS MOTOR VEHICLES NEWS ITEMS OCCUPATIONAL PENSIONS OCCUPATIONS ONE PARENT FAMILIES PAMPHLETS PART TIME EMPLOYMENT PARTNERSHIPS PERSONAL PERSONAL HYGIENE PUBLIC INFORMATION QUALIFICATIONS RACIAL DISCRIMINATION RADIO PROGRAMMES RENTED ACCOMMODATION RETIREMENT RISK SATELLITE RECEIVERS SELF EMPLOYED SEX DISCRIMINATION SEXUAL AWARENESS SEXUALLY TRANSMITTE... SHARED HOME OWNERSHIP SHOPPING SICK LEAVE SOCIAL ACTIVITIES L... SOCIAL HOUSING SOCIAL SECURITY BEN... STATE HEALTH SERVICES STATE RETIREMENT PE... STATUS IN EMPLOYMENT STERILIZATION MEDICAL STUDENTS SUPERVISORS SUPERVISORY STATUS SYMPTOMS Social behaviour an... Social welfare poli... Specific diseases TELECOMMUNICATIONS ... TELEPHONE DIRECTORIES TELEPHONES TELEVISION CHANNELS TELEVISION PROGRAMMES TELEVISION RECEIVERS TEMPERATURE CONTROL TIED HOUSING UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS VEGETABLES VIDEO RECORDERS WORKING MOTHERS disorders and medic... property and invest...

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqsNotice:Due to the surge of cases over the Christmas period 2021, and increased processing times, updates of the Local Electoral Area (LEA) historic time series were paused. Updates of the historic time series resumed on 25th February 2022 (for cases created up to midnight on 21st February). As work is still ongoing to geo-code all cases created during the surge period, there is a gap in the historic LEA time series for cases created between 21st December 2021 and 21st January 2022. From the week of 30th May 2022 LEA data will no longer be updated.Please refer to the FAQ page for more information.14 Day Incidence of confirmed COVID-19 cases by LEA.14 Day Time Series Incidence Rate of confirmed COVID-19 cases by LEA - Rate per 100kThis hosted feature view provides a visualisation of the 14 Day Incidence rate per 100k population of COVID-19 cases at the Local Electoral Area (LEA) level across Ireland. In total, there are 166 LEA's across Ireland.Please note: For confidentiality reasons, following consultation with the CSO, all LEA's with values below 5 have been suppressed to 'Less than 5'. Where a rate per 100k is set to 'Less than 5' it means that the LEA has a 14 Day incidence below 5 and its value has been suppressed to show 'Less than 5'. This is not an indication of zero (0) confirmed cases. For a proportion of notified COVID-19 cases, their location on the map may reflect their place of work rather than their home address. Confirmed cases have been geo-coded and allocated to Local Electoral Areas (LEA's) by the Health Intelligence Unit (HIU) at the HSE.This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

European Union House Price Index: EU 27 excl UK data was reported at 155.790 2015=100 in Dec 2024. This records an increase from the previous number of 154.620 2015=100 for Sep 2024. European Union House Price Index: EU 27 excl UK data is updated quarterly, averaging 102.895 2015=100 from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 155.790 2015=100 in Dec 2024 and a record low of 83.540 2015=100 in Mar 2005. European Union House Price Index: EU 27 excl UK data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.EB001: Eurostat: House Price Index: 2015=100. [COVID-19-IMPACT]

Proportions of fatal cases and matched controls without and with a dispensed prescription or hospital diagnosis, by age group.

Univariate associations of severe disease with demographic factors.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

Prediction of severe COVID-19: Cross-validation of models chosen by stepwise regression.

Factors determining the level of staff engagement to a system of systematic screening of saliva testing of staff to control the spread of Covid-19 by Walloon nursing homes (n = 409, December 2020) (R2 = 0.30).

Colombia Second Hand House Price Index: Constant Price data was reported at 128.287 1990=100 in Sep 2024. This records an increase from the previous number of 125.877 1990=100 for Jun 2024. Colombia Second Hand House Price Index: Constant Price data is updated quarterly, averaging 96.307 1990=100 from Mar 1988 (Median) to Sep 2024, with 147 observations. The data reached an all-time high of 134.932 1990=100 in Sep 2021 and a record low of 60.087 1990=100 in Sep 2003. Colombia Second Hand House Price Index: Constant Price data remains active status in CEIC and is reported by Bank of the Republic of Colombia. The data is categorized under Global Database’s Colombia – Table CO.EB019: Second Hand House Price Index: 1990=100. [COVID-19-IMPACT]

Mortgage Rate in Australia remained unchanged at 5.76 percent in July. This dataset includes a chart with historical data for Australia Mortgage Rate.