2024 Renting Statistics Report with Data Visualizations

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Estimated reading time: 7 minutes

Our 2024 renting statistics offer a comprehensive look into the renter income, demographics, behaviors, and preferences of renters, providing valuable insights for rental companies, stakeholders, renters and press.

Here’s an in-depth analysis of the key findings from the data, along with actionable takeaways to enhance customer engagement and satisfaction.

2024 Renting Statistics Infographic
2024 Renting Statistics Infographic. Click to expand.

Approach

The analysis is based on data extracted from June Homes’ systems, encompassing thousands of renters across 10 major US cities. The methodology involved:

  1. Data Collection: Aggregating 2024 data from our internal systems to capture a holistic view of renter demographics and behaviors.
  2. Data Cleaning: Ensuring the data was accurate and consistent by handling missing values and correcting any inconsistencies.
  3. Data Analysis: Employing statistical methods and visualization techniques to uncover patterns and insights across different renter attributes.
  4. Insight Extraction: Identifying key trends and correlations within the data to draw actionable insights.

TL;DR: 2024 Renters’ Statistics – Main Insights and Takeaways

Income Distribution Among Renters in 2024:

  • Less than $25,000: 1,727 contacts
  • $25,000 – $50,000: 1,073 contacts
  • $50,000 – $75,000: 1,216 contacts
  • $75,000 – $100,000: 757 contacts
  • $100,000 – $125,000: 422 contacts
  • $125,000 – $150,000: 262 contacts
  • $150,000 – $175,000: 158 contacts
  • More than $175,000: 248 contacts

Insights:

  • Economic Diversity: The renter population is economically diverse, with a noticeable skew towards lower income brackets.
  • Affordable Housing Demand: The high number of low-income renters emphasizes the need for affordable housing options.
  • Potential for Market Segmentation: With significant numbers in both low and mid-income ranges, there may be opportunities for targeted rental offerings and financial assistance programs.
  • Luxury Rental Market: While smaller, the high-income renter segment suggests a niche market for luxury rental properties and premium services.

Gender Distribution:

  • Majority Gender: 58.4% male renters, 40.8% female.
  • Inclusivity: Small percentage identified as other or did not disclose.

Stay Duration by Gender:

  • Males tend to stay longer than females.

Number of Stays by Gender:

  • Most renters have a single stay; fewer have multiple stays.

Marital Status:

  • 57.7% did not disclose marital status; 98.5% of those who did are single.

Age Distribution:

  • Majority of renters are aged 20-22.

Income Information:

  • 70.2% disclosed income; higher incomes correlate with longer and slightly more repeat stays.

Renters Gender Distribution

A donut chart displaying the distribution of contacts by gender. The chart includes four categories: male (57.6%), female (40.2%), null (2.0%), and other (0.2%).
Renters Gender Distribution. Click to expand

The data reveals that the majority of renters are male, comprising 58.4% of the contacts, while female renters make up 40.8%. Additionally, a small percentage identified as other or did not disclose their gender.

Insights:

  • Majority Gender: Male renters are more prevalent.
  • Inclusivity Needs: A small yet significant portion of renters identify as other genders or prefer not to disclose, highlighting the need for inclusive policies.

Stay Duration by Gender

A stacked bar chart showing the gender distribution across different contact frequency ranges.
Stay Duration by Gender. Click to expand

Analyzing stay duration by gender shows that males have a higher tendency to stay longer than females. Specific dates also indicate peaks in rental activity.

Insights:

  • Long-Term Stays: Males are more likely to have longer stays.

Number of Stays by Gender

A stacked bar chart displaying the number of stays by gender for each stay count from 1 to 9.
Number of Stays by Gender. Click to expand

The majority of renters, regardless of gender, have a single stay. There is a significant drop in the number of contacts as the number of stays increases.

Insights:

  • Single Stays Dominance: Most renters have only one rental period.
  • Repeat Stay Potential: Understanding the factors influencing repeat stays can improve customer retention.

Marital Status

A donut chart displaying the distribution of contacts by marital status.
Marital Status. Click to expand

A significant portion of renters (57.7%) did not provide their marital status. Among those who did, single renters constitute the majority (98.5%).

Insights:

  • Data Gaps: The lack of marital status information may affect the accuracy of insights.
  • Single Demographic: Single individuals form the bulk of the disclosed demographic.

Age Distribution

A bar chart displaying the age distribution of contacts.
Age Distribution. Click to expand

The age histogram shows a significant number of young renters, particularly between the ages of 20 to 22.

Insights:

  • Young Renters: There is a higher number of renters in their early twenties.
  • Potential Peak Ages: Ages 20 to 22 are common for renting.

Income Distribution Among Renters in 2024

A bar chart displaying the distribution of contacts by income bracket.
Income Distribution Among Renters in 2024. Click to expand

The analysis of renters’ income data for 2024 reveals a diverse range of income brackets among the contacts:

  • Less than $25,000: 1,727 contacts
  • $25,000 – $50,000: 1,073 contacts
  • $50,000 – $75,000: 1,216 contacts
  • $75,000 – $100,000: 757 contacts
  • $100,000 – $125,000: 422 contacts
  • $125,000 – $150,000: 262 contacts
  • $150,000 – $175,000: 158 contacts
  • More than $175,000: 248 contacts

Key Insights:

  1. Dominance of Lower Income Brackets:
    • The largest proportion of renters, with 1,727 contacts, fall into the “Less than $25,000” income category, indicating a significant presence of low-income renters.
  2. Mid-Range Income Distribution:
    • The income brackets between $25,000 and $75,000 contain a considerable number of renters, with a combined total of 2,289 contacts. This suggests a substantial middle-income renting population.
  3. High-Income Renters:
    • The number of renters decreases significantly as income increases beyond $75,000. Renters with incomes above $75,000 total 1,847 contacts, which is smaller than the combined total of the lower brackets.
  4. Proportional Representation:
    • Renters earning less than $25,000 represent a significant 33% of the total contacts, indicating economic challenges or a preference for renting among lower-income individuals.
    • Conversely, renters with incomes above $150,000 constitute a smaller segment (7%), showing that high-income individuals are less likely to rent.

This distribution indicates a significant presence of lower-income renters, with the largest group earning less than $25,000. There is also a substantial segment of renters with mid to high incomes, particularly those earning between $50,000 and $75,000. The number of renters decreases as income levels rise, but a notable portion of renters still falls into higher income brackets. This highlights the need for rental companies to offer a range of services and pricing options to cater to this economically diverse renter population.

A donut chart displaying the distribution of contacts based on a true/false status.
Percentage of users provided income info. Click to expand

A majority of renters (70.2%) provided their income information, offering reliable data for income-related analyses.

Insights:

  • Income Disclosure: The high rate of income disclosure suggests reliable income data.
  • Income Influence: Renters with higher incomes are more likely to stay longer.

Income by Stay Duration and Number of Stays

A stacked bar chart showing the distribution of income by stay duration and number of stays.
Income by Stay Duration and Number of Stays. Click to expand

Higher-income renters tend to have longer stays and slightly more repeat stays compared to lower-income groups.

Insights:

  • Longer Stays for Higher Income: Higher-income renters are more likely to stay longer.
  • Repeat Stays for Higher Income: Higher-income groups show a slightly higher number of repeat stays.
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