Quan 10, Hồ Chí Minh Airbnb Market Data 2026: STR Report & Statistics

Source: AirROI · Airbnb DataReviewed by Jun Zhou, Founder @ AirROI
Updated:

How much can you earn on Airbnb in Quan 10, Hồ Chí Minh? Based on AirROI's 2026 dataset (July 2025 – June 2026), the short answer is $2,605 per year — at a $44 nightly rate, 32.1% occupancy, and a $14 RevPAR that reflects a wider gap between nightly rates and realized revenue that rewards occupancy-focused strategies.

With just 44 active listings, Quan 10 is a micro-market where selective demand that rewards strong listing quality and pricing strategy.

Regulation is low with minimal registration requirements, pointing to an operator-friendly environment. In a market this size, differentiated listings with strong reviews can capture outsized returns relative to the competition.

What Are the Key Airbnb Metrics in Quan 10?

In Quan 10, the headline Airbnb metrics are $2,605 in average annual revenue,32.1% occupancy, $44 ADR, and $14 in RevPAR, and guests book about 17 days in advance.

Avg. Daily Rate (ADR)(?)
$44
The average rental revenue earned for an occupied room per day in Quan 10.
Occupancy Rate(?)
32.1%
Moderate demand with booking opportunities.
Avg. Annual Revenue(?)
$2,605
Average annual income for an Airbnb listing in Quan 10. Factors like property type, size, and location influence actual earnings.
RevPAR(?)
$14
Revenue per available rental night, combining occupancy and ADR into one efficiency metric.
Revenue Growth YoY(?)
N/A
No year-over-year data available.
Active Airbnb Listings(?)
44
Total number of active short-term rentals listed.
Avg. Booking Lead Time(?)
17 days
How far in advance guests typically book in Quan 10. Longer lead times indicate planned travel; shorter ones suggest last-minute demand.
STR Regulation Level(?)
Low
Fewer regulations, offering more operational flexibility.
Peak Revenue Month(?)
July
The month with the highest average earnings, indicating peak season in Quan 10.
Lowest Revenue Month(?)
May
The month with the lowest average earnings, indicating the low season in Quan 10.
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How Much Do Airbnb Hosts Earn Monthly in Quan 10?

Understanding the monthly revenue variations for Airbnb listings in Quan 10 is key to maximizing your short term rental income potential. Seasonality significantly impacts earnings. Our analysis, based on data from the past 12 months, shows that the peak revenue month for STRs in Quan 10 is typically July, while May often presents the lowest earnings, highlighting opportunities for strategic pricing adjustments during shoulder and low seasons. Explore the typical Airbnb income in Quan 10 across different performance tiers:

  • Best-in-class properties (Top 10%) achieve $1,095+ monthly, often utilizing dynamic pricing and superior guest experiences.
  • Strong performing properties (Top 25%) earn $723 or more, indicating effective management and desirable locations/amenities.
  • Typical properties (Median) generate around $379 per month, representing the average market performance.
  • Entry-level properties (Bottom 25%) see earnings around $187, often with potential for optimization.

Average Monthly Airbnb Earnings Trend in Quan 10

What Is the Monthly Airbnb Occupancy Rate in Quan 10?

Maximize your bookings by understanding the Quan 10 STR occupancy trends. Seasonal demand shifts significantly influence how often properties are booked. Typically, Julysees the highest demand (peak season occupancy), while May experiences the lowest (low season). Effective strategies, like adjusting minimum stays or offering promotions, can boost occupancy during slower periods. Here's how different property tiers perform in Quan 10:

  • Best-in-class properties (Top 10%) achieve 69%+ occupancy, indicating high desirability and potentially optimized availability.
  • Strong performing properties (Top 25%) maintain 50% or higher occupancy, suggesting good market fit and guest satisfaction.
  • Typical properties (Median) have an occupancy rate around 27%.
  • Entry-level properties (Bottom 25%) average 15% occupancy, potentially facing higher vacancy.

Average Monthly Occupancy Rate Trend in Quan 10

What Is the Average Airbnb Nightly Rate in Quan 10?

Effective short term rental pricing strategy in Quan 10 involves understanding monthly ADR fluctuations. The Average Daily Rate (ADR) for Airbnb in Quan 10 typically peaks in May and dips lowest during January. Leveraging Airbnb dynamic pricing tools or strategies based on this seasonality can significantly boost revenue. Here's a look at the typical nightly rates achieved:

  • Best-in-class properties (Top 10%) command rates of $76+ per night, often due to premium features or locations.
  • Strong performing properties (Top 25%) achieve nightly rates of $61 or more.
  • Typical properties (Median) charge around $34 per night.
  • Entry-level properties (Bottom 25%) earn around $23 per night.

Average Daily Rate (ADR) Trend by Month in Quan 10

What Is the RevPAR for Airbnb in Quan 10?

RevPAR in Quan 10 is currently $14. Because RevPAR combines nightly rates with realized occupancy, it is one of the cleanest ways to compare how efficiently listings turn demand into revenue across the market.

  • Entry-level properties (Bottom 25%) see $6 RevPAR.
  • Typical properties (Median) generate $11 RevPAR.
  • Strong performers (Top 25%) earn $19 RevPAR.
  • Best-in-class (Top 10%) achieve $30 RevPAR.

Average Monthly RevPAR Trend in Quan 10

RevPAR Insights for Quan 10

  • The average RevPAR in Quan 10 is $14. This metric combines nightly rates with realized occupancy, making it one of the best single-number indicators of market efficiency.
  • The gap between the top 10% ($30) and bottom 25% ($6) is $24, suggesting a relatively compressed market where operational differences yield moderate returns.
  • RevPAR peaks in Jul and bottoms out in May, mirroring the broader seasonal demand pattern and suggesting opportunities for dynamic pricing.

Recommendations for Hosts

  • Track your own RevPAR monthly against these Quan 10 benchmarks. If your RevPAR falls below the median of $11, examine whether low occupancy or low ADR is the primary drag.
  • Top-quartile listings achieve $19+ RevPAR through a combination of competitive pricing, strong reviews, and strategic amenities. Target this tier through incremental improvements.
  • Use RevPAR rather than revenue alone when comparing properties of different sizes — it normalizes for available nights and gives a more accurate picture of performance.

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When Is the Peak Season for Airbnb in Quan 10?

Quan 10's peak Airbnb season falls in July, March, April, while the softest stretch is January, May, June. Overall, the market shows highly seasonal trends requiring careful strategy, which should guide pricing, minimum stays, and cash-flow planning.

Peak Season (July, March, April)
  • Revenue averages $695 per month
  • Occupancy rates average 41.7%
  • Daily rates average $46
Shoulder Season
  • Revenue averages $488 per month
  • Occupancy maintains around 36.6%
  • Daily rates hold near $41
Low Season (January, May, June)
  • Revenue drops to average $343 per month
  • Occupancy decreases to average 24.6%
  • Daily rates adjust to average $47

Seasonality Insights for Quan 10

  • Airbnb seasonality in Quan 10 is pronounced. Revenue swings sharply between peak and low months, which means pricing strategy, minimum-stay settings, and cash reserves all need to account for extended slower periods.
  • During the high season, the absolute peak month showcases Quan 10's highest earning potential, with monthly revenues climbing to $793, occupancy reaching 47.4%, and ADRs peaking at $51.
  • Conversely, the slowest single month marks the market's lowest point — revenue may dip to $328, occupancy could drop to 20.5%, and ADRs may adjust to $39.
  • Lower occupancy paired with meaningful seasonality means hosts in Quan 10 need to maximize every peak-season booking and seriously consider whether off-season pricing adjustments or minimum-stay changes can capture incremental revenue.

Seasonal Strategies for Maximizing Profit

  • Peak Season: Maximize revenue through premium pricing and potentially longer minimum stays. Ensure high availability and consider tightening cancellation policies to reduce last-minute gaps.
  • Low Season: Offer competitive pricing, extended-stay discounts, and flexible cancellation policies. Target off-season travelers like remote workers, budget-conscious guests, and travelers with flexible schedules.
  • Shoulder Seasons: Implement dynamic pricing that bridges peak and low rates. Target weekend travelers, local events, and business visitors. Slightly more flexible terms than peak season can help maintain occupancy without deep discounting.
  • In a highly seasonal market like Quan 10, building a cash reserve during the top months is essential for covering fixed costs during the slow period. Automated pricing tools can help capture demand shifts in real time.

Do You Need a License for Airbnb in Quan 10?

Low regulation and minimal registration activity in Quan 10, Hồ Chí Minh, Vietnam point to an operator-friendly environment. That said, even low-regulation markets may have tax collection requirements, safety standards, or HOA rules that affect short-term rental operations. Always verify the latest short-term rental regulations and Airbnb license requirements directly with local government authorities for Quan 10 to ensure full compliance before hosting.

(Source: AirROI data, 2026, finding no licensed listings among those analyzed)

What Are the Best Neighborhoods for Airbnb in Quan 10?

With a compact short-term rental market, Quan 10 gives early-mover hosts an advantage in the right neighborhoods. The areas listed below are where guest demand and local attractions converge — a useful lens for investors evaluating whether to enter this market and where to position their listing.

Best neighborhoods for Airbnb in Quan 10
Neighborhood / AreaWhy Host Here? (Target Guests & Appeal)Key Attractions & Landmarks
Tan Son Nhat International Airport Area
Convenient location for travelers arriving and departing from the airport. Hosts can cater to guests looking for short stays before or after their flights.
Tan Son Nhat International Airport, Gia Dinh Park, Le Van Sy Street, Aviation Museum, Local eateries
Le Van Sy Street
A vibrant street known for its restaurants, cafes, and young atmosphere. Ideal for attracting travelers seeking local culture and nightlife.
Local eateries, Cafe An Cafe, Le Van Sy Park, Shopping centers, Night markets
Hoang Hoa Tham Street
A quiet residential area offering a peaceful stay while being close to city attractions. Great for families and long-term stays.
Local markets, Saigon Central Post Office, Jade Emperor Pagoda, War Museum
Pham Van Hai
A growing area with affordable accommodation options. Attracts budget travelers and locals.
Local markets, Affordable eateries, Shopping districts, Cultural landmarks
Cong Hoa Street
Strategically located, it offers easy access to various districts and is lined with cafes and shops, making it appealing for both short and long stays.
Shopping malls, Local restaurants, Tan Binh Market, City parks
Nguyen Kiem Street
Known for its street food and proximity to local attractions, great for food enthusiasts and cultural experiences.
Street food stalls, Local cafes, Zen Buddhist temples, Shopping avenues
Le Lai Street
Located near the city center, it’s perfect for tourists wanting quick access to Ho Chi Minh’s main attractions, shopping, and dining.
Ben Thanh Market, Saigon Opera House, Nguyen Hue Walking Street
Yaowarat Street
Distinctive for its blend of cultures, appealing to travelers seeking unique experiences and local cuisine.
Chinatown, Street food, Cultural festivals, Historical sites

With 8 distinct neighborhoods showing meaningful short-term rental activity, Quan 10 offers diversification within a single market. Investors can tailor their strategy — from high-turnover tourist zones to quieter residential areas that attract longer stays and remote workers.

What Types of Properties Are on Airbnb in Quan 10?

Room Type Distribution

Property Type Distribution

Market Composition Insights for Quan 10

  • The Quan 10 Airbnb market composition is heavily skewed towards Entire Home/Apt listings, which make up 65.9% of the 44 active rentals. This indicates strong guest preference for privacy and space.
  • However, a notable 34.1% share for Private Rooms suggests opportunities for budget-conscious travelers or hosts renting out spare rooms.
  • Looking at the property type distribution in Quan 10, Apartment/Condo properties are the most common (70.5%), reflecting the local real estate landscape.
  • Houses represent a significant 27.3% portion, catering likely to families or larger groups.
  • Smaller segments like hotel/boutique (combined 2.3%) offer potential for unique stay experiences.

Quan 10 Airbnb Room Capacity Analysis (2026): Bedroom Distribution

Distribution of Listings by Number of Bedrooms

Room Capacity Insights for Quan 10

  • The dominant room capacity in Quan 10 is 1 bedroom listings, making up 43.2% of the market. This suggests a strong demand for properties suitable for couples or solo travelers.
  • Together, 1 bedroom and 2 bedrooms properties represent 70.5% of the active Airbnb listings in Quan 10, indicating a high concentration in these sizes.

Quan 10 Vacation Rental Guest Capacity Trends (2026)

Distribution of Listings by Guest Capacity

Guest Capacity Insights for Quan 10

  • The most common guest capacity trend in Quan 10 vacation rentals is listings accommodating 2 guests (36.4%). This suggests the primary traveler segment is likely couples or solo travelers.
  • Properties designed for 2 guests and 4 guests dominate the Quan 10 STR market, accounting for 63.7% of listings.
  • 13.6% of properties accommodate 6+ guests, serving the market segment for larger families or group travel in Quan 10.
  • On average, properties in Quan 10 are equipped to host 2.9 guests.

How Do Listings in Quan 10 Compare on Quality?

Listing quality in Quan 10 can be approximated through presentation depth, bedroom count, and how often hosts disclose exact locations. These signals show how professionally the local supply base is merchandised.

Average Photos per Listing(?)
18
More photos correlate with higher conversion rates.
Average Beds per Listing(?)
1.6
Reflects the capacity profile of the local supply.
Exact Location Enabled(?)
40.9%
Builds guest trust and improves booking confidence.

Listing Quality Insights for Quan 10

  • The average of 18 photos is adequate but leaves room for improvement. Top-performing markets typically see 20+ photos per listing.
  • 40.9% of listings show their exact location. Lower disclosure rates can increase booking hesitation — guests want to know exactly where they are staying.

Recommendations for Hosts

  • Aim for 20+ high-quality photos covering every room, outdoor spaces, views, and the surrounding neighborhood. Professional photography can pay for itself within a few bookings.
  • Enable exact location if possible — it removes a common source of guest uncertainty and can improve your listing's position in map-based searches.
  • Use these quality indicators as a self-audit checklist. Listings that exceed the Quan 10 averages across all three metrics are better positioned for premium pricing.

What Amenities Do Airbnb Guests Expect in Quan 10?

Amenity Prevalence

Amenity Insights for Quan 10

  • Essential amenities in Quan 10 that guests expect include: Wifi, Air conditioning. Lacking these (any) could significantly impact bookings.
  • Popular amenities like Fire extinguisher, Washer, Hangers are common but not universal. Offering these can provide a competitive edge.

Recommendations for Hosts

  • Ensure your listing includes all essential amenities for Quan 10: Wifi, Air conditioning.
  • Consider adding popular differentiators like Fire extinguisher or Washer to increase appeal.
  • Highlight unique or less common amenities you offer (e.g., hot tub, dedicated workspace, EV charger) in your listing description and photos.
  • Regularly check competitor amenities in Quan 10 to stay competitive.

Which Airbnb Amenities Boost Revenue in Quan 10?

Not every amenity matters equally. This table focuses on the amenities most associated with higher revenue in Quan 10, which makes it more useful for prioritizing upgrades than a simple popularity list alone.

AmenityPrevalenceRevenue WithRevenue WithoutRevenue Uplift
Freezer
11.4%$5,781$2,198163.0%
Paid parking on premises
43.2%$4,003$1,543159.4%
Dedicated workspace
70.5%$3,131$1,352131.7%
Kitchen
75.0%$3,027$1,339126.1%
Gym
18.2%$4,564$2,170110.3%
TV
65.9%$3,132$1,58897.3%
Elevator
40.9%$3,559$1,94582.9%
Body soap
38.6%$3,607$1,97582.6%
Dining table
50.0%$3,365$1,84582.4%
Bathtub
13.6%$4,036$2,38069.6%

Revenue Impact Insights for Quan 10

  • Freezer tops the revenue impact list with a 163.0% uplift — listings with this amenity earn $5,781 vs. $2,198 without it.

Recommendations for Hosts

  • Focus your upgrade budget on amenities in the top half of this table. Below-median amenities may improve guest experience but contribute less to revenue growth.
  • Highlight revenue-impacting amenities prominently in your listing title, photos, and description — guests can't value what they don't notice.

Dive Deeper: Advanced Quan 10 STR Market Data (2026)

Ready to unlock more insights? AirROI provides access to advanced metrics and comprehensive Airbnb data for Quan 10. Explore detailed analytics beyond this report to refine your investment strategy, optimize pricing, and maximize your vacation rental profits.

Explore Advanced Metrics

Quan 10 Airbnb Guest Demographics & Profile Analysis (2026)

Guest Origin: Domestic vs. International
Top 5 Cities of Origin
Top 5 Countries of Origin
Top 5 Languages Spoken
Guest Age Distribution (Birth Decade)

Guest Profile Summary for Quan 10

  • The typical guest profile for Airbnb in Quan 10 consists of predominantly international visitors (87%), with top international origins including Vietnam, typically belonging to the Post-2000s (Gen Z/Alpha) group (50%), primarily speaking English or Vietnamese.
  • Domestic travelers account for 13.4% of guests.
  • Key international markets include United States (32%) and Vietnam (13.4%).
  • Top languages spoken are English (46.6%) followed by Vietnamese (20.4%).
  • A significant demographic segment is the Post-2000s (Gen Z/Alpha) group, representing 50% of guests.

Recommendations for Hosts

  • Focus marketing internationally, particularly towards travelers from Vietnam.
  • Tailor amenities and listing descriptions to appeal to the dominant Post-2000s (Gen Z/Alpha) demographic (e.g., highlight fast WiFi, smart home features, local guides).
  • Highlight unique local experiences or amenities relevant to the primary guest profile.
  • Consider seasonal promotions aligned with peak travel times for key origin markets.

What Are Airbnb Guest Ratings in Quan 10?

Listings in Quan 10 average 4.83 out of 5 overall, with about 6.8 reviews per active listing and 27.3% of listings carrying the Guest Favorite badge.

Rating Breakdown by Category

Guest Rating Insights for Quan 10

  • With an overall rating of 4.83, Quan 10 listings meet an exceptionally high bar. Guests consistently report strong satisfaction, which drives repeat bookings and referral traffic.
  • The strongest subcategory is Communication (4.9), while Cleanliness (4.74) trails behind — a useful signal for hosts looking to prioritize upgrades.
  • 27.3% of listings carry the Guest Favorite badge, a strong trust signal that can meaningfully lift click-through and booking rates.

Recommendations for Hosts

  • Focus improvement efforts on Cleanliness — even small gains in the weakest subcategory can lift overall ratings and search ranking.
  • Encourage guests to leave reviews after checkout. Listings with more reviews rank higher in search results and convert browsers into bookers more effectively.
  • With only 27.3% of listings earning Guest Favorite status, hosts who consistently exceed expectations have a clear competitive advantage.

Quan 10 Airbnb Booking Patterns (2026): Available vs. Booked Days

Available Days Distribution

Booked Days Distribution

Booking Pattern Insights for Quan 10

  • The most common availability pattern in Quan 10 falls within the 271-366 days range, representing 75% of listings. This suggests many properties have significant open periods on their calendars.
  • Approximately 100.0% of listings show high availability (181+ days open annually), indicating potential for increased bookings or specific owner usage patterns.
  • For booked days, the 1-30 days range is most frequent in Quan 10 (40.9%), reflecting common guest stay durations or potential owner blocking patterns.
  • A notable 2.3% of properties secure long booking periods (181+ days booked per year), highlighting successful long-term rental strategies or significant owner usage.

How Far in Advance Do Guests Book Airbnb in Quan 10?

Average Booking Lead Time by Month

Booking Lead Time Insights for Quan 10

  • The overall average booking lead time for vacation rentals in Quan 10 is 17 days.
  • Guests book furthest in advance for stays during June (average 33 days), likely coinciding with peak travel demand or local events.
  • The shortest booking windows occur for stays in July (average 9 days), indicating more last-minute travel plans during this time.
  • Seasonally, Spring (19 days avg.) sees the longest lead times, while Winter (18 days avg.) has the shortest, reflecting typical travel planning cycles.

Recommendations for Hosts

  • Use the overall average lead time (17 days) as a baseline for your pricing and availability strategy in Quan 10.
  • For June stays, consider implementing length-of-stay discounts or slightly higher rates for bookings made less than 33 days out to capitalize on advance planning.
  • During July, focus on last-minute booking availability and promotions, as guests book with very short notice (9 days avg.).
  • Target marketing efforts for the Spring season well in advance (at least 19 days) to capture early planners.
  • Monitor your own booking lead times against these Quan 10 averages to identify opportunities for dynamic pricing adjustments.

What Is the Average Length of Stay for Airbnb in Quan 10?

Guests in Quan 10 stay about 5.5 nights on average, generating roughly 420 reservations and 9.5 bookings per listing in the latest AirROI dataset. The most common check-in time is 2:00 PM and check-out is 12:00 PM.

Monthly Length of Stay in Quan 10

Check-in Time Distribution

Check-out Time Distribution

Stay Pattern Insights for Quan 10

  • A mid-range stay length points to leisure-driven demand — weekend getaways and short vacations. Hosts should optimize for quick turnover efficiency while keeping the guest experience smooth.
  • Stay lengths peak in Sep (8.7 nights) and shorten in Aug (2.5 nights). Adjust minimum-night requirements seasonally to match.

Recommendations for Hosts

  • Leverage the longer-stay pattern by offering weekly discounts — even 5-10% off can convert browsing into bookings for guests considering an extended stay.
  • Set your check-in time to match or beat the market standard of 2:00 PM. Offering early check-in flexibility can be a low-cost differentiator.
  • Monitor length-of-stay seasonality to adjust minimum-night requirements — longer minimums during peak periods maximize revenue while shorter minimums fill gaps in shoulder seasons.

Quan 10 Airbnb Minimum Stay Requirements Analysis

Distribution of Listings by Minimum Night Requirement

1 Night (90.9%)

1 Night

40 listings

90.9% of total

2 Nights (4.5%)

2 Nights

2 listings

4.5% of total

30+ Nights (4.5%)

30+ Nights

2 listings

4.5% of total

Key Insights

  • The most prevalent minimum stay requirement in Quan 10 is 1 Night, adopted by 90.9% of listings. This highlights the market's preference for shorter, flexible bookings.
  • A strong majority (95.4%) of the Quan 10 Airbnb data shows acceptance of very short stays (1-2 nights), indicating a dynamic, high-turnover market.

Recommendations

  • Align with the market by considering a 1 Night minimum stay, as 90.9% of Quan 10 hosts use this setting.
  • Adjust minimum nights based on seasonality – potentially shorter during low season and longer during peak demand periods in Quan 10.

Quan 10 Airbnb Cancellation Policy Trends Analysis (2026)

Super Strict 30 Days

2 listings

4.5% of total

Limited (11.4%)

Limited

5 listings

11.4% of total

Flexible (43.2%)

Flexible

19 listings

43.2% of total

Moderate (18.2%)

Moderate

8 listings

18.2% of total

Firm (22.7%)

Firm

10 listings

22.7% of total

Cancellation Policy Insights for Quan 10

  • The prevailing Airbnb cancellation policy trend in Quan 10 is Flexible, used by 43.2% of listings.
  • There's a relatively balanced mix between guest-friendly (61.4%) and stricter (22.7%) policies, offering choices for different guest needs.

Recommendations for Hosts

  • Consider adopting a Flexible policy to align with the 43.2% market standard in Quan 10.
  • Regularly review your cancellation policy against competitors and market demand shifts in Quan 10.

How Much Are Airbnb Cleaning Fees in Quan 10?

Cleaning fees in Quan 10 are meaningful operating levers, not just pass-through charges. What matters most is how often hosts charge them, how high they run relative to market norms, and how large a share of gross revenue they consume.

Average Cleaning Fee
$2
Median Cleaning Fee
$1
Listings Charging a Fee
18.2%
Fee as Revenue Share
1.0%

Cleaning Fee Insights for Quan 10

  • Only 18.2% of listings charge a cleaning fee, suggesting that most hosts in Quan 10 bundle cleaning costs into the nightly rate.
  • The average cleaning fee of $2 is close to the median ($1), suggesting a relatively consistent fee structure across the market.
  • Cleaning fees represent 1.0% of gross revenue on average — a modest component of the overall booking price.

Recommendations for Hosts

  • Price your cleaning fee competitively against the Quan 10 median of $1. Fees significantly above market norms can deter bookings, especially for shorter stays.
  • Monitor competitor cleaning fees regularly. Airbnb's search algorithm factors in total price, so a well-calibrated cleaning fee can improve your listing's ranking.

What Do the Top Airbnb Listings in Quan 10 Look Like?

Benchmark your potential! Explore examples of top-performing Airbnb properties in Quan 10based on Trailing Twelve Month (TTM) revenue. Analyze their characteristics, revenue, occupancy rate, and ADR to understand what drives success in this market.

Ha Do Centrosa Apartment, District 10, 3/2 street

Ha Do Centrosa Apartment, District 10, 3/2 street

Entire Place • 2 bedrooms

$9,284
Revenue
43.2%
Occupancy
$59.58
Daily Rate
Luxury 3-Room Apartment in Ha Do District 10

Luxury 3-Room Apartment in Ha Do District 10

Entire Place • 3 bedrooms

$9,200
Revenue
34.3%
Occupancy
$79.17
Daily Rate
Gorgeous 2BR HaDo Centrosa with fireworks view

Gorgeous 2BR HaDo Centrosa with fireworks view

Entire Place • 2 bedrooms

$9,115
Revenue
42.5%
Occupancy
$71.02
Daily Rate
Kingdom101-Zhome-2BR apartment-District 10

Kingdom101-Zhome-2BR apartment-District 10

Entire Place • 2 bedrooms

$8,351
Revenue
47.1%
Occupancy
$65.62
Daily Rate
De Macaroon - 10 Min to Ben Thanh

De Macaroon - 10 Min to Ben Thanh

Entire Place • 2 bedrooms

$6,939
Revenue
51.8%
Occupancy
$60.63
Daily Rate
Luxury 2-Room Apartment in Ha Do District 10

Luxury 2-Room Apartment in Ha Do District 10

Entire Place • 2 bedrooms

$6,419
Revenue
28.9%
Occupancy
$61.63
Daily Rate

Note: Performance varies based on location, size, amenities, seasonality, and management quality. Data reflects the past 12 months.

Who Are the Top Airbnb Hosts in Quan 10?

Learn from the best! This table showcases top-performing Airbnb hosts in Quan 10 based on the number of properties managed and estimated total revenue over the past year. Analyze their scale and performance metrics.

Top Airbnb hosts in Quan 10 by revenue
Host NamePropertiesGrossing RevenueStay ReviewsAvg Rating
Nga6$29,443314.94/5.0
July7$20,028314.67/5.0
UPhoenix Home1$9,11565.00/5.0
Lily Nguyen1$8,35135.00/5.0
Thị Tố Trinh2$7,671344.94/5.0
Duc1$6,939294.79/5.0
Ennie2$6,785304.96/5.0
Tino House4$6,74785.00/5.0
My House Homestay5$5,078424.84/5.0
Yan1$3,56975.00/5.0

Analyzing the strategies of top hosts, such as their property selection, pricing, and guest communication, can offer valuable lessons for optimizing your own Airbnb operations in Quan 10.

Who Are the Airbnb Hosts in Quan 10?

Quan 10 is a quality-focused market, with a high Superhost share and fairly mature operating standards.

Superhosts
52.3%
Professional Management
0.0%
Cohosted Listings
15.9%
Instant Book Enabled
9.1%
Simplified Pricing
72.7%

Host Profile Insights for Quan 10

  • With 52.3% Superhosts, Quan 10 has an experienced host base that sets high guest expectations. New entrants should plan for competitive quality standards.
  • 9.1% of listings have Instant Book enabled. Lower Instant Book adoption means many guests must request approval, which can slow conversions.
  • 72.7% of listings use Airbnb's simplified pricing (host-only fee), where the host pays the entire platform service fee and the guest sees one all-in price with no separate Airbnb service charge. High adoption signals a professional, PMS-connected host base — Airbnb mandates simplified pricing for software-connected listings.

Recommendations for Hosts

  • Consider enabling Instant Book — it reduces booking friction and Airbnb's algorithm tends to favor Instant Book listings in search results.
  • With 15.9% cohosted listings, there may be a growing local market for property management services.
  • Benchmark your host metrics against these Quan 10 averages regularly and adjust your hosting strategy based on what top performers do differently.

How Does Quan 10's Airbnb Market Compare to Nearby Cities?

How does the Quan 10 Airbnb market stack up against its neighbors? Compare key performance metrics like average monthly revenue, ADR, and occupancy rates in surrounding areas to understand the broader regional STR landscape.

Compared with Phạm Ngũ Lão, Quan 10 has 20 percentage points lower occupancy and about $9 lower ADR. That helps frame whether this market is winning more on demand, pricing, or both.

Airbnb markets near Quan 10 — performance comparison
MarketActive PropertiesMonthly RevenueDaily RateAvg. Occupancy
Phuoc Thuan Commune10$1,839$366.7720%
Quận Kho17$978$160.2146%
Thủ Thiêm75$919$120.8539%
Quận 238$911$78.6745%
An Phú12$865$126.5637%
Hồ Tràm13$836$236.3414%
Da Kao19$729$60.0748%
Phạm Ngũ Lão19$666$52.3052%
Thủ Đức196$623$91.3638%
Cầu Kho22$538$87.0543%

Frequently Asked Questions About Airbnb in Quan 10

These quick answers summarize the most common investor and operator questions using AirROI's latest market data for Quan 10.

How much do Airbnb hosts make in Quan 10?

Quan 10 hosts earn about $2,605 per year on average, with an average nightly rate of $44 and RevPAR of $14. Those figures describe the typical revenue environment for active listings in Quan 10, Hồ Chí Minh, not the ceiling for the best operators. Source: AirROI 2026 data, Quan 10 market, July 2025 to June 2026.

What is the average Airbnb occupancy rate in Quan 10?

The average Airbnb occupancy rate in Quan 10 is 32.1%. July is the strongest month and May is the softest, so hosts should expect demand to move meaningfully throughout the year rather than stay flat.

What is the average Airbnb daily rate in Quan 10?

Listings in Quan 10 average $44 per night. The broader pricing spread also matters: lower-performing listings cluster closer to the lower quartiles, while premium homes can price materially above the city average when demand spikes or listing quality stands out.

How many Airbnb listings are active in Quan 10?

Quan 10 currently has about 44 active Airbnb listings in AirROI's market dataset. That supply count helps explain how competitive the market is, how much depth there is for benchmarking, and whether the market behaves like a niche destination or a scaled urban market.

How strict are short-term rental regulations in Quan 10?

AirROI currently classifies the short-term rental regulation level in Quan 10 as Low. The dataset also shows about 0.0% of listings with registration evidence. That is a market signal, not legal advice, so hosts should still confirm current licensing and compliance rules locally before listing.

What is the RevPAR for Airbnb in Quan 10?

RevPAR in Quan 10 is about $14. That metric combines pricing and occupancy into one efficiency number, so it is often a better quick benchmark than ADR alone when investors want to compare how well listings convert nightly rates into realized revenue.

Is Airbnb profitable in Quan 10?

Occupancy of 32.1% means Quan 10 is a more selective market. Profitability is achievable but requires careful cost management, premium positioning, or targeting longer stays to reduce turnover. Average annual revenue is $2,605, but individual returns depend on property type, location within the city, and the host's operating efficiency.

How far in advance do guests book Airbnb in Quan 10?

The average booking lead time in Quan 10 is about 17 days — a relatively short booking window, meaning most guests decide within a few weeks of their trip — dynamic pricing can capture late demand. Hosts who understand their market's booking cadence can adjust minimum stays and pricing windows accordingly.

What are the best neighborhoods for Airbnb in Quan 10?

Based on AirROI's analysis, some of the top neighborhoods for short-term rentals in Quan 10 include Tan Son Nhat International Airport Area, Le Van Sy Street, Hoang Hoa Tham Street. Each area attracts different guest profiles — from business travelers to leisure visitors — so the best location depends on the property type and target audience a host is aiming for. See the full neighborhood breakdown above.

What type of property performs best on Airbnb in Quan 10?

entire_home listings make up 65.9% of the active supply in Quan 10. The most common configuration does not always mean the most profitable — operators who identify underserved property types or bedroom counts can sometimes outperform the market average by filling a gap in local supply.

How does Quan 10 compare to nearby Airbnb markets?

Among neighboring markets, Phuoc Thuan Commune posts $22,069 in average annual revenue with 19.8% occupancy, compared to Quan 10's $2,605 and 32.1%. Comparing nearby markets helps investors understand whether a destination's performance reflects local demand or broader regional trends.

What is the average length of stay in Quan 10?

The average Airbnb stay length in Quan 10 is about 5.5 nights. That matters for turnover, cleaning operations, and pricing strategy because shorter stays increase changeovers while longer stays can smooth occupancy and reduce operational friction.

What is the average Airbnb guest rating in Quan 10?

Airbnb listings in Quan 10 average 4.83 out of 5 overall. About 27.3% of listings carry the guest favorite badge, which suggests a meaningful share of inventory is competing on review quality rather than price alone.

Which amenities boost Airbnb revenue in Quan 10?

Freezer and Paid parking on premises are among the strongest revenue-linked amenities in Quan 10. In AirROI's latest dataset, listings with these amenities outperform those without on average revenue, which makes amenities analysis useful for prioritizing investment and listing upgrades.

Do Airbnb hosts charge cleaning fees in Quan 10?

Yes. About 18.2% of active Airbnb listings in Quan 10 charge a cleaning fee, and the average fee is $2. The more important operating benchmark is how much of gross revenue that fee consumes, not just the absolute dollar amount.

What percentage of Airbnb hosts are Superhosts in Quan 10?

A 52.3% Superhost rate signals a highly competitive market where review quality and responsiveness are table stakes, not differentiators.

About AirROI Market Data

AirROI tracks over 20 million properties across 190+ countries and maintains 15+ years of historical performance data, making it one of the deepest Airbnb and STR intelligence platforms available. The analytics pipeline aggregates listing-level data monthly — revenue, occupancy, nightly rates, RevPAR, guest demographics, booking patterns, and competitive supply — so investors and operators can benchmark any market against its own history and against neighboring destinations.

Real estate investors, property managers, financial institutions, hedge funds, tourism boards, hospitality consultants, tech platforms, and academic researchers rely on AirROI data to underwrite acquisitions, optimize pricing, model macro trends, and conduct peer-reviewed research. Data is available through in-depth market reports like this one and the Airbnb API with 22 endpoints and an Airbnb MCP Server for AI agents.

AirROI proprietary analytics as of 2026-06-30. Metrics reflect trailing twelve-month aggregates from active listings. Revenue figures are market averages, not projections. Neighborhood descriptions are AI-generated and reviewed for accuracy. For full methodology, see the data methodology page.

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