View weekly updates and historical trends for 30 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

Jumbo 30-Year Fixed Mortgage Rates

Zillow Home Value Forecast and Cash Buyer Data

By Zillow Data [source]

About this dataset

This dataset tracks the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours. It provides insight into changes in the housing market and helps consumers make wiser decisions with their investments. In addition to tracking monthly mortgage rates, our dataset also covers consumer's home types and housing stock, cash buyer data, Zillow Home Value Forecast (ZHVF), negative equity metrics, affordability forecasts for both mortgages and rents as well as historic data including historical ZHVI and household income. With this unique blend of financial and real estate information, users are empowered to make more informed decisions about their investments. The data is updated weekly with the most recent statistics available so that users always have access to up-to-date information

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How to use the dataset

How to Use This Dataset:

• To start exploring this dataset, identify what type of home you are interested in by selecting one of the four categories: “all homes” (Zillow defines all homes as single family, condominiums and coops with a county record); multifamily 5+; duplex/triplex; or condos/coops.
• Understand additional data products that are included such as Zillow Home Value Forecast (ZHVF), Cash Buyers % share, affordability metrics like mortgage affordability or rental affordability and historical ZHVI values along with its median value for particular households or geographies which needs deeper insights into other endogenous variables such detailed information like how many bedrooms a house has etc.

• Choose your geographic region on which you would want to collect more information– regions could include city breakdowns from nationwide level down till specific metropolitan etc . Also use special crosswalks available if needed between federally defined metrics for counties / metro areas combined with Zillow's own ones for greater accuracy when analysing external facors effect on data . To download all datasets at once - click here. .

• Gather more relevant external factors for analysis such as home values forecasts using our published methodology post given url , further to mention TransUnion credit bureau related debt amounts also consider median household incomes vis Bureaus of Labor Cost Indexes ; All these give us greater dimensional insights into market dynamics affecting any particular region finally culminating into deeper research findings when taken together . The reasons behind any fluctions observed can be properly derived as a result .

          Finally make sure that proper attribution is alwys done following mentioned Terms Of Use while downloading since 'All Data Accessed And Downloaded From This Page Is Free For Public Use By Consumers , Media
  

Research Ideas

• Using the Mortgage Rate Data to devise strategies to help persons purchasing jumbo mortgages determine the best time and rates to acquire a loan.
• Analyzing trends in the market by investigating changes in affordability over time by studying rent and mortgage affordability, price-to-income ratios, and historical ZHVIs with cash buyers.
• Comparing different areas of housing markets over diverse geographies using data on all homes, condos/co-ops, multifamily dwellings 5+ units, duplexes/triplexes across various counties or metro areas

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: MortgageRateJumboFixed.csv | Column name | Description | |:---------------------------|:---------------------------------------------------------------------------------------------------------------| | Date | The date of the mortgage rate. (Date) | | TimePeriod | The time period of the ...

View weekly updates and historical trends for 15 Year Mortgage Rate. from United States. Source: Freddie Mac. Track economic data with YCharts analytics.

The percentage of purchase mortgages that use 30-year loan terms

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

The Japan Mortgage/Loan Brokers Market, valued at ¥5.20 billion in 2025, is projected to experience steady growth with a Compound Annual Growth Rate (CAGR) of 3.92% from 2025 to 2033. This growth is driven primarily by increasing urbanization, a rising young population entering the housing market, and government initiatives aimed at boosting homeownership. Low interest rates in recent years have also stimulated mortgage demand. However, fluctuating economic conditions and potential regulatory changes pose challenges. The market is segmented by mortgage loan type (conventional, jumbo, government-insured, and others), loan terms (15, 20, and 30-year mortgages, and others), interest rates (fixed and adjustable), and provider (primary and secondary lenders). Major players include prominent Japanese financial institutions like the Bank of Japan, Bank of China (with significant operations in Japan), Suruga Bank, SMBC Trust Bank, Shinsei Bank, and several international banks with a presence in the Japanese market. The market's future trajectory will likely depend on the effectiveness of government policies supporting homeownership, the stability of the Japanese economy, and the adaptability of brokers to evolving technological advancements in financial services. Competition among brokers is expected to intensify, pushing for innovation in services and digital platforms to attract customers. The dominance of established financial institutions in the market highlights the need for smaller brokers to establish strong partnerships or differentiate themselves through specialized services. While the 30-year mortgage remains a significant segment, growing awareness of financial prudence and shorter-term financial goals could lead to increased demand for 15 and 20-year mortgage options. The increasing adoption of online platforms and fintech solutions is also anticipated to transform how mortgage brokerage services are delivered, potentially impacting the operational models of traditional players. Analyzing trends in interest rates and their correlation with overall market growth will be crucial for predicting future market performance. The impact of macroeconomic factors, such as inflation and unemployment, will also play a significant role in influencing mortgage demand and consequently, the growth of the brokerage market. Recent developments include: In March 2024, Leading Japanese online stocks broker Matsui Stocks Co., Ltd. established a partnership with global fintech firm Broadridge Financial Solutions, Inc. to boost its stock lending business via Broadridge's cloud-based SaaS post-trade processing technology., In July 2023, Mitsubishi UFJ Financial Group and Morgan Stanley expanded their 15-year-old partnership. At their joint brokerage operations, the Japanese and American institutions have decided to work together more closely on forex trading, as well as on researching and selling Japanese stocks to institutional investors.. Key drivers for this market are: Increase in demand for Financial Home Loan Solutions, Increased Accessibility to Loan Broker Services. Potential restraints include: Increase in demand for Financial Home Loan Solutions, Increased Accessibility to Loan Broker Services. Notable trends are: Consistent level of interest rate and Increasing Real Estate price affecting Japan's Mortgage/Loan Broker Market..

Mortgage interest rates in the UK were on a downward trend for more than a decade before soaring in 2022. In the first quarter of 2025, the average weighted interest rate stood at **** percent — nearly ***** times the interest rate in the first quarter of 2022. Mortgage rates also vary depending on the type of mortgage: Historically, fixed rate mortgages with a shorter term had on average lower interest rates. What types of mortgages are there? In terms of the type of interest rate, mortgages can be fixed and variable. A fixed interest rate is simply a mortgage where the rate of repayment is fixed, while a variable rate depends on the lender’s underlying variable interest rate. Furthermore, mortgages could be for a house purchase or for refinancing. The vast majority of mortgages in the UK are fixed rate mortgages for house purchase, and only a small share is for remortgaging. How big is the UK mortgage market? The UK has the largest mortgage market in Europe, amounting to over ** billion euros in gross residential mortgage lending as of the fourth quarter of 2024. When comparing the total outstanding residential mortgage lending, the UK also ranks first with about *** trillion euros.

Historical dataset of the 30 day LIBOR rate back to 1986. The London Interbank Offered Rate is the average interest rate at which leading banks borrow funds from other banks in the London market. LIBOR is the most widely used global "benchmark" or reference rate for short term interest rates.

The Latin America Home Mortgage Finance Market is segmented by type (Fixed-rate Mortgage, Adjustable-rate Mortgage), by Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years), and by Geography (Brazil, Chile, Peru, Colombia, and the Rest of Latin America). The report offers market size and forecasts for Latin America Home Mortgage Finance Market in value (USD Billion) for all the above segments.

The Latin American home mortgage finance market, valued at approximately $XX million in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 3.00% from 2025 to 2033. This growth is fueled by several key drivers, including increasing urbanization, rising disposable incomes across various socioeconomic segments, and government initiatives aimed at boosting homeownership rates. Furthermore, the expansion of the formal financial sector and the availability of innovative mortgage products, such as adjustable-rate mortgages catering to diverse financial profiles, contribute to market expansion. However, economic volatility in certain Latin American nations and fluctuating interest rates pose significant challenges. The market is segmented by mortgage type (fixed-rate and adjustable-rate), loan tenure (ranging from under 5 years to over 25 years), and geography, with Brazil, Chile, Colombia, and Peru representing significant market shares. Competition is intense, with major players including Caixa Economica Federal, Banco do Brasil, Itaú, Bradesco, Santander, and others vying for market dominance. The market's future trajectory hinges on managing economic instability, maintaining affordable interest rates, and continuing to improve access to credit for a broader range of borrowers. The segment analysis reveals that fixed-rate mortgages currently dominate the market, though adjustable-rate mortgages are gaining traction due to their flexibility. Longer-tenure mortgages (11-24 years and 25-30 years) are increasingly popular as borrowers seek more manageable monthly payments. Geographically, Brazil holds the largest market share, reflecting its substantial population and relatively developed financial sector. However, Chile, Colombia, and Peru are showing promising growth potential, driven by improving economic conditions and increased government support for housing initiatives. The Rest of Latin America segment offers considerable untapped potential. Continued economic development and infrastructure improvements in these regions will be instrumental in further propelling market growth in the coming years. A focus on financial literacy and responsible lending practices will be essential for sustainable market development and to mitigate potential risks associated with rapid expansion. Recent developments include: In August 2022, Two new mortgage fintech start-ups emerged in Latin America: Toperty launched in Colombia and Saturn5 is about to launch in Mexico. Toperty offers to purchase a customer's new house outright and provides a payment schedule that allows the customer to purchase the house while renting it from the business. Saturn5 wants to give its clients the skills and resources they need to buy a house on their own., In August 2022, During a conference call on August 5, Brazilian lender Banco Bradesco SA startled analysts by reporting an increase in default rates in the second quarter of 2022. The average 90-day nonperforming loan ratio for Bradesco, the second-largest private bank in Latin America, increased by 30 basis points. Delinquency in the overall portfolio increased to 3.5% from 2.5% and 3.2%, respectively, in the first quarter.. Notable trends are: Increase in Economic Growth and GDP per capita.

Context

Zillow's Economic Research Team collects, cleans and publishes housing and economic data from a variety of public and proprietary sources. Public property record data filed with local municipalities -- including deeds, property facts, parcel information and transactional histories -- forms the backbone of our data products, and is fleshed out with proprietary data derived from property listings and user behavior on Zillow.

The large majority of Zillow's aggregated housing market and economic data is made available for free download at zillow.com/data.

Content

Variable Availability:

Zillow Home Value Index (ZHVI): A smoothed seasonally adjusted measure of the median estimated home value across a given region and housing type. A dollar denominated alternative to repeat-sales indices. Find a more detailed methodology here: http://www.zillow.com/research/zhvi-methodology-6032/

Zillow Rent Index (ZRI): A smoothed seasonally adjusted measure of the median estimated market rate rent across a given region and housing type. A dollar denominated alternative to repeat-rent indices. Find a more detailed methodology here: http://www.zillow.com/research/zillow-rent-index-methodology-2393/

For-Sale Listing/Inventory Metrics: Zillow provides many variables capturing current and historical for-sale listings availability, generally from 2012 to current. These variables include median list prices and inventory counts, both by various property types. Variables capturing for-sale market competitiveness including share of listings with a price cut, median price cut size, age of inventory, and the days a listing spend on Zillow before the sale is final.

Home Sales Metrics: Zillow provides data on sold homes including median sale price by various housing types, sale counts (methodology here: http://www.zillow.com/research/home-sales-methodology-7733/), and a normalized view of sale volume referred to as turnover. The prevalence of foreclosures is also provided as ratio of the housing stock and the share of all sales in which the home was previously foreclosed upon.

For-Rent Listing Metrics: Zillow provides median rents prices and median rent price per square foot by property type and bedroom count.

Housing type definitions:

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.

Tiers: By metro, we determine price tier cutoffs that divide the all homes housing stock into thirds using the full distribution of estimated home values. We then estimate real estate metrics within the property sets, Bottom, Middle, and Top, defined by these cutoffs. When reported at the national level, all Bottom Tier homes defined at the metro level are pooled together to form the national bottom tier. The same holds for Middle and Top Tier homes.

Regional Availability:

Zillow metrics are reported for common US geographies including Nation, State, Metro (2013 Census Defined CBSAs), County, City, ZIP code, and Neighborhood.

We provide a crosswalk between colloquial Zillow region names and federally defined region names and linking variables such as County FIPS codes and CBSA codes. Cities and Neighborhoods do not match standard jurisdictional boundaries. Zillow city boundaries reflect mailing address conventions and so are often visually similar to collections of ZIP codes. Zillow neighborhood boundaries can be found here.

Suppression Rules: To ensure reliability of reported values the Zillow Economic Research team applies suppression rules triggered by low sample sizes and excessive volatility. These rules are customized to the metric and region type and explain most missingness found in the provided datasets.

Additional Data Products

The following data products and more are available for free download exclusively at [Zillow.com/Data][1]:

• Zillow Home Value Forecast
• Zillow Rent Forecast
• Negative Equity (the share of mortgaged properties worth less than mortgage balance)
• Zillow Home Price Expectations Survey
• Zillow Housing Aspirations Report
• Zillow Rising Sea Levels Research
• Cash Buyers Time Series
• Buy vs. Rent Breakeven Horizon
• Mortgage Affordability, Rental Affordability, Price-to-Income Ratio
• Conventional 30-year Fixed Mortgage Rate, Weekly Time Series
• Jumbo 30-year Fixed Mortgage Rates, Weekly Time Series

Acknowledgements

The mission of the Zillow Economic Research Team is to be the most open, authoritative source for timely and accurate housing data and unbiased insight. We...

China Mortgage/Loan Brokers Market Analysis The China Mortgage/Loan Brokers Market is poised for significant growth, driven by the robust demand for mortgages and loans. The market was valued at 33.90 million in 2025, and is projected to reach a value of XX million by 2033, registering a CAGR of 12.56% during the forecast period 2025-2033. The market's expansion is attributed to factors such as increasing urbanization, rising disposable income, and government initiatives to promote homeownership. Key drivers of the market include the growing number of first-time homebuyers, favorable interest rates, and increased access to credit. The market is segmented based on type of mortgage loan, mortgage loan terms, interest rate, and provider. The conventional mortgage loan segment holds the largest market share, while the 30-year mortgage loan terms segment is most popular. The fixed-rate interest rate segment is expected to witness significant growth during the forecast period, due to the stability and predictability it offers. Major players in the market include Bank of China, Bank of Japan, and Suruga Bank. The market faces challenges such as regulatory headwinds and competition from banks and financial institutions. However, the increasing adoption of technology and emerging trends such as online lending are expected to provide growth opportunities in the future. Recent developments include: In September 2023, the Agricultural Bank of China (ABC), one of the four major state-owned banks in the country, launched a global matchmaking platform during the Belt and Road Agricultural Cooperation and Development Forum in Beijing., In June 2023, HSBC Bank (China) Company Limited acquired Citi’s retail wealth management portfolio in mainland China.. Key drivers for this market are: Surge in China household Wealth, Increasing Penetration rate among investors. Potential restraints include: Surge in China household Wealth, Increasing Penetration rate among investors. Notable trends are: Change in Monetary factors affecting China Mortgage/Loan Brokers market..

Context:

The provided dataset is extracted from yahoo finance using pandas and yahoo finance library in python. This deals with stock market index of the world best economies. The code generated data from Jan 01, 2003 to Jun 30, 2023 that’s more than 20 years. There are 18 CSV files, dataset is generated for 16 different stock market indices comprising of 7 different countries. Below is the list of countries along with number of indices extracted through yahoo finance library, while two CSV files deals with annualized return and compound annual growth rate (CAGR) has been computed from the extracted data.

Number of Countries & Index:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F90ce8a986761636e3edbb49464b304d8%2FNumber%20of%20Index.JPG?generation=1688490342207096&alt=media" alt="">

Content:

Unit of analysis: Stock Market Index Analysis

This dataset is useful for research purposes, particularly for conducting comparative analyses involving capital market performance and could be used along with other economic indicators.

There are 18 distinct CSV files associated with this dataset. First 16 CSV files deals with number of indices and last two CSV file deals with annualized return of each year and CAGR of each index. If data in any column is blank, it portrays that index was launch in later years, for instance: Bse500 (India), this index launch in 2007, so earlier values are blank, similarly China_Top300 index launch in year 2021 so early fields are blank too.

The extraction process involves applying different criteria, like in 16 CSV files all columns are included, Adj Close is used to calculate annualized return. The algorithm extracts data based on index name (code given by the yahoo finance) according start and end date.

Annualized return and CAGR has been calculated and illustrated in below image along with machine readable file (CSV) attached to that.

To extract the data provided in the attachment, various criteria were applied:

1. Content Filtering: The data was filtered based on several attributes, including the index name, start and end date. This filtering process ensured that only relevant data meeting the specified criteria.

2. Collaborative Filtering: Another filtering technique used was collaborative filtering using yahoo finance, which relies on index similarity. This approach involves finding indices that are similar to other index or extended dataset scope to other countries or economies. By leveraging this method, the algorithm identifies and extracts data based on similarities between indices.

In the last two CSV files, one belongs to annualized return, that was calculated based on the Adj close column and new DataFrame created to store its outcome. Below is the image of annualized returns of all index (if unreadable, machine-readable or CSV format is attached with the dataset).

Annualized Return:

As far as annualised rate of return is concerned, most of the time India stock market indices leading, followed by USA, Canada and Japan stock market indices.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F37645bd90623ea79f3708a958013c098%2FAnnualized%20Return.JPG?generation=1688525901452892&alt=media" alt="">

Compound Annual Growth Rate (CAGR):

The best performing index based on compound growth is Sensex (India) that comprises of top 30 companies is 15.60%, followed by Nifty500 (India) that is 11.34% and Nasdaq (USA) all is 10.60%.

The worst performing index is China top300, however this is launch in 2021 (post pandemic), so would not possible to examine at that stage (due to less data availability). Furthermore, UK and Russia indices are also top 5 in the worst order.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F58ae33f60a8800749f802b46ec1e07e7%2FCAGR.JPG?generation=1688490409606631&alt=media" alt="">

Geography: Stock Market Index of the World Top Economies

Time period: Jan 01, 2003 – June 30, 2023

Variables: Stock Market Index Title, Open, High, Low, Close, Adj Close, Volume, Year, Month, Day, Yearly_Return and CAGR

File Type: CSV file

Inspiration:

• Time series prediction model
• Investment opportunities in world best economies
• Comparative Analysis of past data with other stock market indices or other indices

Disclaimer:

This is not a financial advice; due diligence is required in each investment decision.

The Brazil Home Loan Market is segmented By Source (Bank and Housing Finance Companies), By Interest Rate (Fixed Rate and Floating Rate), and By Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years). The report offers market size and forecasts in value (USD) for all the above segments.

Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up but remained stable throughout 2024. In the second quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

The yield on US 30 Year Bond Yield rose to 4.76% on December 2, 2025, marking a 0.02 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.06 points and is 0.35 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. United States 30 Year Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

Common-Stock-Shares-Outstanding Time Series for ARMOUR Residential REIT Inc. ARMOUR Residential REIT, Inc. invests in residential mortgage-backed securities (MBS) in the United States. Its securities portfolio primarily consists of the United States Government-sponsored entity's (GSE) and the Government National Mortgage Administration's issued or guaranteed securities backed by fixed rate, hybrid adjustable rate, and adjustable-rate home loans; and unsecured notes and bonds issued by the GSE and the United States treasuries, as well as money market instruments. The company has elected to be taxed as a real estate investment trust. As a result, it would not be subject to corporate income tax on that portion of its net income that is distributed to shareholders. ARMOUR Residential REIT, Inc. was incorporated in 2008 and is based in Vero Beach, Florida.

Credit unions have experienced growth in recent years, stemming from increased membership and elevated interest rates throughout the period. The industry has experienced improving macroeconomic conditions since 2020 and credit unions have benefited from increased consumer borrowing. However, at the onset of the period, the industry was negatively impacted by economic volatility. Economic uncertainty led consumers to limit spending, while interest rates declined because the Federal Reserve lowered the Federal Funds Rate to the zero-bound range to address pandemic-induced liquidity. However, as the Federal Reserve raised interest rates in an attempt to curb inflation in 2022, industry revenue benefited. The industry experienced greater interest income, driving revenue and elevating profit although loan volumes were limited. However, in the latter part of the period the Fed slashed interest rates as inflationary pressures eased, hindering interest income but boosting loan demand volumes. As a result, revenue increased at a slower rate in the latter part of the period and profit was hindered. Overall, revenue swelled at a CAGR of 7.7% to $147.4 billion over the past five years, including a 1.6% jump in 2025 alone. Industry profit has lagged and comprises 10.1% of revenue in the same year. Changes in the regulatory environment have and will continue to shape the direction of this industry. Greater demand for credit unions increases their systemic importance to the overall economy. These intermediaries are federally insured, so any liquidity crisis requiring federal intervention would burden taxpayers. Legislation dictating stricter capital requirements passed under the National Credit Union Association's Risk-Based Capital Final Rule despite lobbying and opposition. Despite an intensified regulatory landscape, industry revenue is expected to expand at a CAGR of 0.8% to $153.2 billion over the five years to 2030. Consumer borrowing activity is expected to mount and the industry is also likely to endure greater competition from commercial banks, as their improving customer satisfaction threatens credit union membership. Despite this challenge, credit unions are expected to continue to receive strong demand for mortgages as the rate of a 30-year conventional mortgage is expected to decline over the next five years.

Rental Affordability Analysis Based on Median Income

Trends in Tier-Based Affordability Across the U.S

By Zillow Data [source]

About this dataset

This dataset contains rental affordability data for different regions in the US, giving valuable insights into regional rental markets. Renters can use this information to identify where their budget will go the farthest. The cities are organized by rent tier in order to analyze affordability trends within and between different housing stock types. Within each region, the data includes median household income, Zillow Rent Index (ZRI), and percent of income spent on rent.

The Zillow Home Value Forecast (ZHVF) is used to calculate future combined mortgage pay/rent payments in each region using current median home prices, actual outstanding debt amounts and 30-year fixed mortgage interest rates reported through partnership with TransUnion credit bureau. Zillow also provides a breakdown of cash vs financing purchases for buyers looking for an investment or cash option solution.

This dataset provides an effective tool for consumers who want to better understand how their budget fits into diverse rental markets across the US; from condominiums and co-ops, multifamily residences with five or more units, duplexes and triplexes - every renter can determine how their housing budget should be adjusted as they consider multiple living possibilities throughout the country based on real-time price data!

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How to use the dataset

Introduction

Getting Started

• First, you'll need to download the TieredAffordability_Rental.csv dataset from this Kaggle page onto your computer or device.

• After downloading the data set onto your device, open it with any CSV viewing software of your choice (ex: Excel). It will include columns for RegionName**RegionName** , homes type/housing stock (All Homes or Condo/Co-op) SizeRank , Rent tier tier , Date date , median household income income , Zillow Rent Index zri and PercentIncomeSpentOnRent percentage (what portion of monthly median house-hold goes toward monthly mortgage payment) .

• To begin analyzing rental prices across different regions using this dataset, look first at column four: SizeRank; which ranks each region based on size - smallest regions listed first and largest at last - so that you can compare a similar range of Regions when looking at affordability by home sizes larger than one unit multiplex dwellings.*Duples/Triplex*. Once there is an understanding of how all homes compare overall now it is time to consider home types Multifamily 5+ units according to rent tiers tier .

• Next, choose one or more region(s) for comparison based on their rank in SizeRank column –so that all information gathered about them reflects what portionof households fall into certain categories ; eg; All Homes / Small Home /Large Home / MultiPlex Dwelling and what tier does each size rank falls into eg.: Affordable/Slightly Expensive/ Moderately Expensive etc.. This will enable further abstraction from other elements like date vs inflation rate per month or periodical intervals set herein by Rate segmentation i e dates givenin ‘Date’Columns – making the task easier and more direct while analyzing renatalAffordibility Analysis Based On Median Income zri 00 zwi & PCISOR 00 PCIRO

Research Ideas

• Use the PercentIncomeSpentOnRent column to compare rental affordability between regions within a particular tier and determine optimal rent tiers for relocating families.
• Analyze how market conditions are affecting rental affordability over time by using the income, zri, and PercentageIncomeSpentOnRent columns.
• Identify trends in housing prices for different tiers over the years by comparing SizeRank data with Zillow Home Value Forecast (ZHVF) numbers across different regions in order to identify locations that may be headed up or down in terms of home values (and therefore rent levels)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: TieredAffordability_Rental.csv | Column name | Description | |:-----------------------------|:-------------------------------------------------------------| | RegionName | The name of the region. (String) ...

Stock-Based-Compensation Time Series for Glacier Bancorp Inc. Glacier Bancorp, Inc. operates as the bank holding company for Glacier Bank that provides commercial banking services to individuals, small to medium-sized businesses, community organizations, and public entities in the United States. It offers retail banking; business banking; and mortgage origination and loan servicing services. The company also accepts deposit products, including non-interest bearing deposit and interest bearing deposit accounts, such as negotiable order of withdrawal, demand deposit accounts, savings, money market deposits, fixed rate certificates of deposit, negotiated-rate jumbo certificates, and individual retirement accounts. In addition, it offers construction and permanent loans on residential real estate, consumer land or lot loans, and unimproved land and land development loans, construction loans, commercial real estate loans, agricultural and consumer lending, home equity loans, and states and political subdivisions lending, as well as residential builder guidance lines comprising pre-sold and spec-home construction, and lot acquisition loans. Glacier Bancorp, Inc. was founded in 1955 and is headquartered in Kalispell, Montana.