Home buyer statistics from 100+ million applications showing generational differences in loan amounts and down payments by Homebuyer.com.

Comparison of average income, loan size, purchase price, and loan-to-value ratio across all age groups.

Among all home buyers in the United States in 2024, first time home buyers accounted for approximately ** percent of the total. The share of first time home buyers among all home buyers in the United States has fluctuated significantly between 2003 and 2024 having had the highest share of first time home buyers of ** percent in 2010.

ZIP codes with the highest number of Early Millennial home purchases in 2024.

About ** percent of homebuyers in the United States in 2024 were young Boomers, making them the generation with the largest share of homebuyers in the United States that year. On the hand, generation Z buyers made up only **** percent of homebuyers.

ZIP codes with the highest number of Gen X home purchases in 2024.

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

According to a survey conducted among over 15,000 respondents in the U.S., between 36 and 55 percent of home buyers who were actively looking to buy a home in the next 12 months were not able to find one at a price they could afford as of the second quarter of 2023. Approximately ** percent of millennials struggled to find a home at an acceptable price, while for Baby Boomers, this percentage was higher at ** percent. According to the source, the main reason for the decline across all generations except for baby boomers was that respondents reported other reasons, such as getting outbid by other buyers or the inability to find a home in the desired neighborhood. In the second quarter of 2023, roughly ** percent of U.S. adults were planning a home purchase in the next year.

Approximately ** percent of Americans aged 26 to 34 who bought a home were first-home buyers, whereas ** percent of home buyers between 35 and 44 bought their first home in that year. Gen Z and Millennial first-time buyers It is no surprise that many Gen Z (18 to 24 years old) and Millennial (25 to 43 years old) home buyers are mostly first-time home buyers. These home buyers are in the early stages of their careers, or still studying in some cases, and often struggling to repay student debt, so they need to save for many years before they afford a down payment. When do they sell? These generations tend to stay in their first homes for several years, which means that the majority of home sellers are older than them. The share of income needed to afford a trade-up home is significantly lower than the money needed for a starter home. A trade-up home is a larger and more expensive home, which homeowners often buy after living in their starter home, or their first home, for several years. This progression generally happens when homeowners have climbed the career ladder and increased their incomes.

ZIP codes with the highest number of Late Millennial home purchases in 2024.

Existing Home Sales in the United States increased to 4100 Thousand in October from 4050 Thousand in September of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Global Property Purchase Decision Dataset

This dataset provides a global property purchase decisions with 200,000 records across 20+ countries and major cities.

Dataset Features

Property Details

• Location (countries and major cities)
• Size specifications
• Price information
• Type classifications
• Amenities available

Financial Information

• Salary data
• Loan details
• EMI (Equated Monthly Installments)
• Expenses breakdown

Subjective Ratings

• Satisfaction scores
• Neighborhood ratings
• Connectivity assessments

Target Variable

• Decision → Buy (1) / Not Buy (0)

Use Cases

Classification

Predict buying decision based on property and financial features

Regression

Estimate house price, loan amount, and other continuous variables

Recommendation Systems

Suggest houses based on buyer profiles and preferences

EDA & Visualization

Study global housing trends and market patterns across different regions

Dataset Statistics

• Records: 200,000
• Coverage: 20+ countries and major cities
• Target: Binary classification (Buy/Not Buy)

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q2 2025 about homeownership, housing, rate, and USA.

Home Ownership Rate in the United States decreased to 65 percent in the second quarter of 2025 from 65.10 percent in the first quarter of 2025. This dataset provides the latest reported value for - United States Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

ZIP codes with the highest number of Early Baby Boomer home purchases in 2024.

Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Oct 2024 to Oct 2025 about headline figure, sales, housing, and USA.

This dataset includes home buyers who purchased a home with an Iowa Finance Authority single family mortgage program in the State of Iowa with a loan purchase date between July 1, 2016 and June 30, 2018. The data includes loan Purchase Date, Bond Series, Loan Amount and County.

In 2024, the median income range between of more than 200,000 U.S. dollars was the largest share of homebuyers in the United States that year. Among them, almost ** percent were between 26 and 59 years old. The income range between 100,000 and 124,999 U.S. dollars was the second one with the largest share of homebuyers in the United States that year. Among them, ** percent were between 18 and 34 years old.

Our US Home Ownership Data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes various data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

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.