30 Year Mortgage Rate in the United States increased to 6.72 percent in July 10 from 6.67 percent in the previous week. This dataset includes a chart with historical data for the United States 30 Year Mortgage Rate.

Fixed 30-year mortgage rates in the United States averaged 6.77 percent in the week ending July 4 of 2025. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mortgage Application in the United States increased by 9.40 percent in the week ending July 4 of 2025 over the previous week. This dataset provides - United States MBA Mortgage Applications - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

The benchmark interest rate in Sweden was last recorded at 2 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Analysis of ‘ Zillow Housing Aspirations Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/zillow-housing-aspirations-reporte on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Additional Data Products

Product: Zillow Housing Aspirations Report

Date: April 2017

Definitions

Home Types and Housing Stock

• All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
• Condo/Co-op: Condominium and co-operative homes.
• Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not a condominiums or co-ops.
• Duplex/Triplex: Housing units in buildings with 2 or 3 housing units.

Additional Data Products

• Zillow Home Value Forecast (ZHVF): The ZHVF is the one-year forecast of the ZHVI. Our forecast methodology is methodology post.
• Zillow creates our negative equity data using our own data in conjunction with data received through our partnership with TransUnion, a leading credit bureau. We match estimated home values against actual outstanding home-related debt amounts provided by TransUnion. To read more about how we calculate our negative equity metrics, please see our here.
• Cash Buyers: The share of homes in a given area purchased without financing/in cash. To read about how we calculate our cash buyer data, please see our research brief.
• Mortgage Affordability, Rental Affordability, Price-to-Income Ratio, Historical ZHVI, Historical ZHVI and Houshold Income are calculated as a part of Zillow’s quarterly Affordability Indices. To calculate mortgage affordability, we first calculate the mortgage payment for the median-valued home in a metropolitan area by using the metro-level Zillow Home Value Index for a given quarter and the 30-year fixed mortgage interest rate during that time period, provided by the Freddie Mac Primary Mortgage Market Survey (based on a 20 percent down payment). Then, we consider what portion of the monthly median household income (U.S. Census) goes toward this monthly mortgage payment. Median household income is available with a lag. For quarters where median income is not available from the U.S. Census Bureau, we calculate future quarters of median household income by estimating it using the Bureau of Labor Statistics’ Employment Cost Index. The affordability forecast is calculated similarly to the current affordability index but uses the one year Zillow Home Value Forecast instead of the current Zillow Home Value Index and a specified interest rate in lieu of PMMS. It also assumes a 20 percent down payment. We calculate rent affordability similarly to mortgage affordability; however we use the Zillow Rent Index, which tracks the monthly median rent in particular geographical regions, to capture rental prices. Rents are chained back in time by using U.S. Census Bureau American Community Survey data from 2006 to the start of the Zillow Rent Index, and Decennial Census for all other years.
• The mortgage rate series is the average mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate mortgage in 15-minute increments during business hours, 6:00 AM to 5:00 PM Pacific. It does not include quotes for jumbo loans, FHA loans, VA loans, loans with mortgage insurance or quotes to consumers with credit scores below 720. Federal holidays are excluded. The jumbo mortgage rate series is the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours, 6:00 AM to 5:00 PM Pacific Time. It does not include quotes to consumers with credit scores below 720. Traditional federal holidays and hours with insufficient sample sizes are excluded.

About Zillow Data (and Terms of Use Information)

• Zillow is in the process of transitioning some data sources with the goal of producing published data that is more comprehensive, reliable, accurate and timely. As this new data is incorporated, the publication of select metrics may be delayed or temporarily suspended. We look forward to resuming our usual publication schedule for all of our established datasets as soon as possible, and we apologize for any inconvenience. Thank you for your patience and understanding.
• All data accessed and downloaded from this page is free for public use by consumers, media, analysts, academics etc., consistent with our published Terms of Use. Proper and clear attribution of all data to Zillow is required.
• For other data requests or inquiries for Zillow Real Estate Research, contact us here.
• All files are time series unless noted otherwise.
• To download all Zillow metrics for specific levels of geography, click here.
• To download a crosswalk between Zillow regions and federally defined regions for counties and metro areas, click here.
• Unless otherwise noted, all series cover single-family residences, condominiums and co-op homes only.

Source: https://www.zillow.com/research/data/

This dataset was created by Zillow Data and contains around 200 samples along with Unnamed: 1, Unnamed: 0, technical information and other features such as: - Unnamed: 1 - Unnamed: 0 - and more.

How to use this dataset

• Analyze Unnamed: 1 in relation to Unnamed: 0
• Study the influence of Unnamed: 1 on Unnamed: 0
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Zillow Data

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

The benchmark interest rate in Norway was last recorded at 4.25 percent. This dataset provides the latest reported value for - Norway Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Iran IR: Lending Interest Rate data was reported at 18.000 % pa in 2016. This records an increase from the previous number of 14.210 % pa for 2015. Iran IR: Lending Interest Rate data is updated yearly, averaging 12.000 % pa from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 18.000 % pa in 2016 and a record low of 11.000 % pa in 2013. Iran IR: Lending Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Interest Rates. Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; ;

Established in 1977, the programmed habitat improvement operations (OPAH) have been the main tool for the rehabilitation of urban centres and rural towns for the past 30 years. Other tools have been created to respond to territorial, technical and social specificities: declination of OPAHs (rural, urban, degraded condominiums), General Interest Programmes (GIPs) and Thematic Social Programmes (PST).When the planned intervention in a given area, generally large — large agglomeration, extensive habitat basin, or even department, these territories do not have significant urban and social dysfunctions, justifying an overall project — is a particular problem to be dealt with, social or technical, OPAH is not an adequate tool, and should be preferred to it the procedure of the Programme of General Interest (PGI), regulated by Article R 327-1 of the Code de la construction et de l’habitation (CCH).The general interest programme (PIG) is an action programme initiated by local and regional authorities benefiting from an agreement for the delegation of stone aid. It aims to provide solutions to specific problems relating to the improvement of housing in housing units or buildings on different scales (agglomeration, housing basin, canton, country or even department). Thus, the scope of intervention can be the housing of students, young workers, the elderly or the disabled, the reduction of the number of vacant dwellings, the increase in the supply of social housing or the fight against diffuse unhealthiness. In addition, exceptional situations resulting from a disaster, whether natural or not, may be dealt with within the framework of a GIP. The duration of the GIP is free, at the discretion of the local authorities, taking into account the local context and issues: one year, 3 years or more if a contractual framework is defined in advance between the programme partners. The data does not contain the old IMPs that are otherwise archived.For the record: the public interest programme must be distinguished from the project of general interest, also known as the GIP, provided for by the Urban Planning Code.

The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

A. Usecase/Applications possible with the data:

1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

Established in 1977, the programmed habitat improvement operations (OPAH) have been the main tool for the rehabilitation of urban centres and rural towns for the past 30 years. Other tools have been created to respond to territorial, technical and social specificities: declination of OPAH (rural, urban, degraded condominiums), General Interest Programmes (GIPs) and Thematic Social Programs (PST). Since the planned intervention in a given area, generally large — a large agglomeration, a large housing basin, or even a department — those areas which do not have significant urban and social dysfunctions, justifying an overall project, falls within a particular problem to be dealt with, of a social or technical nature, the OPAH is not an appropriate tool, and must be preferred to it the procedure of the Programme of General Interest (PIG), laid down in Article R 327-1 of the Code de la Construction et de l’habitation (CCH). The General Interest Programme (GIP) is an action programme initiated by local and regional authorities benefiting from an agreement for the delegation of stone aid. It aims to provide solutions to specific problems relating to the improvement of housing in housing units or buildings on different scales (agglomeration, housing basin, canton, country or even department). Thus, the scope of intervention can be the housing of students, young workers, the elderly or the disabled, the reduction of the number of vacant dwellings, the increase in the supply of social housing or the fight against diffuse unhealthiness. In addition, exceptional situations resulting from a disaster, whether natural or not, can be dealt with in the context of a GIP. The duration of the GIP is free, at the discretion of the local authorities, taking into account local context and issues: one year, 3 years or more if a contractual framework is defined in advance between the programme partners. The data does not contain the old IMPs that are otherwise archived.

For the record: the public interest programme must be distinguished from the project of general interest, also known as the GIP, provided for by the Urban Planning Code.

Established in 1977, the programmed habitat improvement operations (OPAH) have been the main tool for the rehabilitation of urban centres and rural towns for the past 30 years. Other tools have been created to respond to territorial, technical and social specificities: declination of OPAHs (rural, urban, degraded condominiums), General Interest Programmes (GIPs) and Thematic Social Programmes (PST).When the planned intervention in a given area, generally large — large agglomeration, extensive habitat basin, or even department, these territories do not have significant urban and social dysfunctions, justifying an overall project — is a particular problem to be dealt with, social or technical, OPAH is not an adequate tool, and should be preferred to it the procedure of the Programme of General Interest (PGI), regulated by Article R 327-1 of the Code de la construction et de l’habitation (CCH).The general interest programme (PIG) is an action programme initiated by local and regional authorities benefiting from an agreement for the delegation of stone aid. It aims to provide solutions to specific problems relating to the improvement of housing in housing units or buildings on different scales (agglomeration, housing basin, canton, country or even department). Thus, the scope of intervention can be the housing of students, young workers, the elderly or the disabled, the reduction of the number of vacant dwellings, the increase in the supply of social housing or the fight against diffuse unhealthiness. In addition, exceptional situations resulting from a disaster, whether natural or not, may be dealt with within the framework of a GIP. The duration of the GIP is free, at the discretion of the local authorities, taking into account the local context and issues: one year, 3 years or more if a contractual framework is defined in advance between the programme partners. The data does not contain the old IMPs that are otherwise archived.For the record: the public interest programme must be distinguished from the project of general interest, also known as the GIP, provided for by the Urban Planning Code. update on 12/09/2019

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Pakistan was last recorded at 11 percent. This dataset provides - Pakistan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data was reported at 6.566 % in Mar 2025. This records an increase from the previous number of 6.446 % for Dec 2024. Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data is updated quarterly, averaging 6.330 % from Mar 2012 (Median) to Mar 2025, with 53 observations. The data reached an all-time high of 6.961 % in Sep 2023 and a record low of 4.454 % in Mar 2022. Indonesia Banking Survey: Loan Interest Rate: Whole Year Estimation: in USD: Investment data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SE003: Banking Survey: Interest Rate. [COVID-19-IMPACT]