Changlun, Kedah 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 Changlun, Kedah? Based on AirROI's 2026 dataset (June 2025 – May 2026), the short answer is $3,014 per year — at a $59 nightly rate, 22.8% occupancy, and a $15 RevPAR that reflects a wider gap between nightly rates and realized revenue that rewards occupancy-focused strategies.

With just 25 active listings, Changlun is a micro-market where selective demand that rewards strong listing quality and pricing strategy. Supply grew 177.8% over the past year, yet revenue and nightly rates both trended upward — a signal that traveler demand is outpacing new inventory rather than being diluted by it. For hosts, pricing power remains intact even as competition increases.

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 Changlun?

In Changlun, the headline Airbnb metrics are $3,014 in average annual revenue,22.8% occupancy, $59 ADR, and $15 in RevPAR, and guests book about 21 days in advance.

Avg. Daily Rate (ADR)(?)
$59
The average rental revenue earned for an occupied room per day in Changlun.
Occupancy Rate(?)
22.8%
Lower demand, potentially seasonal or market factors at play.
Avg. Annual Revenue(?)
$3,014
Average annual income for an Airbnb listing in Changlun. Factors like property type, size, and location influence actual earnings.
RevPAR(?)
$15
Revenue per available rental night, combining occupancy and ADR into one efficiency metric.
Revenue Growth YoY(?)
41.3%
Strong growth (41.3%) vs. last year.
Active Airbnb Listings(?)
25
Total number of active short-term rentals listed.
Avg. Booking Lead Time(?)
21 days
How far in advance guests typically book in Changlun. 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(?)
December
The month with the highest average earnings, indicating peak season in Changlun.
Lowest Revenue Month(?)
September
The month with the lowest average earnings, indicating the low season in Changlun.
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How Much Do Airbnb Hosts Earn Monthly in Changlun?

Understanding the monthly revenue variations for Airbnb listings in Changlun 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 Changlun is typically December, while September often presents the lowest earnings, highlighting opportunities for strategic pricing adjustments during shoulder and low seasons. Explore the typical Airbnb income in Changlun across different performance tiers:

  • Best-in-class properties (Top 10%) achieve $949+ monthly, often utilizing dynamic pricing and superior guest experiences.
  • Strong performing properties (Top 25%) earn $461 or more, indicating effective management and desirable locations/amenities.
  • Typical properties (Median) generate around $278 per month, representing the average market performance.
  • Entry-level properties (Bottom 25%) see earnings around $151, often with potential for optimization.

Average Monthly Airbnb Earnings Trend in Changlun

What Is the Monthly Airbnb Occupancy Rate in Changlun?

Maximize your bookings by understanding the Changlun STR occupancy trends. Seasonal demand shifts significantly influence how often properties are booked. Typically, Decembersees the highest demand (peak season occupancy), while October 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 Changlun:

  • Best-in-class properties (Top 10%) achieve 44%+ occupancy, indicating high desirability and potentially optimized availability.
  • Strong performing properties (Top 25%) maintain 29% or higher occupancy, suggesting good market fit and guest satisfaction.
  • Typical properties (Median) have an occupancy rate around 17%.
  • Entry-level properties (Bottom 25%) average 10% occupancy, potentially facing higher vacancy.

Average Monthly Occupancy Rate Trend in Changlun

What Is the Average Airbnb Nightly Rate in Changlun?

Effective short term rental pricing strategy in Changlun involves understanding monthly ADR fluctuations. The Average Daily Rate (ADR) for Airbnb in Changlun typically peaks in April and dips lowest during July. 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 $84+ per night, often due to premium features or locations.
  • Strong performing properties (Top 25%) achieve nightly rates of $65 or more.
  • Typical properties (Median) charge around $51 per night.
  • Entry-level properties (Bottom 25%) earn around $43 per night.

Average Daily Rate (ADR) Trend by Month in Changlun

What Is the RevPAR for Airbnb in Changlun?

RevPAR in Changlun is currently $15. 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 $7 RevPAR.
  • Typical properties (Median) generate $11 RevPAR.
  • Strong performers (Top 25%) earn $17 RevPAR.
  • Best-in-class (Top 10%) achieve $26 RevPAR.

Average Monthly RevPAR Trend in Changlun

RevPAR Insights for Changlun

  • The average RevPAR in Changlun is $15. 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% ($26) and bottom 25% ($7) is $19, suggesting a relatively compressed market where operational differences yield moderate returns.
  • RevPAR peaks in Dec and bottoms out in Sep, mirroring the broader seasonal demand pattern and suggesting opportunities for dynamic pricing.

Recommendations for Hosts

  • Track your own RevPAR monthly against these Changlun 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 $17+ 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 Changlun?

Changlun's peak Airbnb season falls in December, November, March, while the softest stretch is July, September, October. Overall, the market shows highly seasonal trends requiring careful strategy, which should guide pricing, minimum stays, and cash-flow planning.

Peak Season (December, November, March)
  • Revenue averages $537 per month
  • Occupancy rates average 28.3%
  • Daily rates average $59
Shoulder Season
  • Revenue averages $409 per month
  • Occupancy maintains around 21.9%
  • Daily rates hold near $61
Low Season (July, September, October)
  • Revenue drops to average $256 per month
  • Occupancy decreases to average 16.8%
  • Daily rates adjust to average $55

Seasonality Insights for Changlun

  • Airbnb seasonality in Changlun 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 Changlun's highest earning potential, with monthly revenues climbing to $606, occupancy reaching 31.3%, and ADRs peaking at $65.
  • Conversely, the slowest single month marks the market's lowest point — revenue may dip to $219, occupancy could drop to 16.1%, and ADRs may adjust to $54.
  • Lower occupancy paired with meaningful seasonality means hosts in Changlun 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 Changlun, 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 Changlun?

Low regulation and minimal registration activity in Changlun, Kedah, Malaysia 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 Changlun 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 Changlun?

With a compact short-term rental market, Changlun 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 Changlun
Neighborhood / AreaWhy Host Here? (Target Guests & Appeal)Key Attractions & Landmarks
Changlun Town Center
The heart of Changlun with easy access to local shops, restaurants, and amenities. Popular for families and travelers looking for convenience and local culture.
Changlun Market, Kedah Rubber Tree Museum, Local coffee shops, Traditional Malaysian eateries
Kedah Rice Museum
A cultural landmark showcasing the history of rice farming in Malaysia. Attracts tourists interested in agriculture and Malaysian heritage.
Kedah Rice Museum, Rice paddy fields, Educational tours, Photography opportunities
Kilim Geoforest Park
A UNESCO World Heritage site known for its stunning mangrove forests and limestone karsts. Perfect for nature lovers and eco-tourists.
Mangrove tours, Eco-adventures, Wildlife spotting, Photogenic landscapes
Sungai Petani
A larger neighboring town with more shopping and dining options. Appeals to visitors looking for a bustling environment with various amenities.
Sungai Petani Mall, Local shopping districts, Cultural and historical sites
Baling
Renowned for its natural beauty and hills, it attracts outdoor enthusiasts and those seeking tranquility away from urban areas.
Baling Hill, Natural waterfalls, Hiking trails
Titi Gantung
Home to beautiful landscapes and cultural experiences, this area is perfect for tourists seeking an off-the-beaten-path stay.
Cultural heritage sites, Local crafts, Scenic views
Jitra
An emerging town with a variety of accommodations and services. Great for travelers wanting to explore the northern region of Malaysia.
Jitra Mall, Local markets, Culinary experiences
Bukit Kayu Hitam
A border town with strong trade activity and a unique cultural blend, it serves as a crossroads for travelers heading to Thailand.
Border crossing, Duty-free shops, Cultural exchanges

With 8 distinct neighborhoods showing meaningful short-term rental activity, Changlun 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 Changlun?

Room Type Distribution

Property Type Distribution

Market Composition Insights for Changlun

  • The Changlun Airbnb market composition is heavily skewed towards Entire Home/Apt listings, which make up 100% of the 25 active rentals. This indicates strong guest preference for privacy and space.
  • Looking at the property type distribution in Changlun, House properties are the most common (92%), reflecting the local real estate landscape.
  • Houses represent a significant 92% portion, catering likely to families or larger groups.
  • The presence of 8% Hotel/Boutique listings indicates integration with traditional hospitality.

Changlun Airbnb Room Capacity Analysis (2026): Bedroom Distribution

Distribution of Listings by Number of Bedrooms

Room Capacity Insights for Changlun

  • The dominant room capacity in Changlun is 3 bedrooms listings, making up 48% of the market. This suggests a strong demand for properties suitable for families or small groups.
  • Together, 3 bedrooms and 4 bedrooms properties represent 76.0% of the active Airbnb listings in Changlun, indicating a high concentration in these sizes.
  • A significant 80.0% of listings offer 3+ bedrooms, catering to larger groups and families seeking more space in Changlun.

Changlun Vacation Rental Guest Capacity Trends (2026)

Distribution of Listings by Guest Capacity

Guest Capacity Insights for Changlun

  • The most common guest capacity trend in Changlun vacation rentals is listings accommodating 8+ guests (60%). This suggests the primary traveler segment is likely larger groups.
  • Properties designed for 8+ guests and 6 guests dominate the Changlun STR market, accounting for 76.0% of listings.
  • 80.0% of properties accommodate 6+ guests, serving the market segment for larger families or group travel in Changlun.
  • On average, properties in Changlun are equipped to host 6.6 guests.

How Do Listings in Changlun Compare on Quality?

Listing quality in Changlun 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(?)
25.2
More photos correlate with higher conversion rates.
Average Beds per Listing(?)
3.8
Reflects the capacity profile of the local supply.
Exact Location Enabled(?)
36.0%
Builds guest trust and improves booking confidence.

Listing Quality Insights for Changlun

  • At 25.2 photos per listing on average, Changlun hosts invest well in visual presentation. Listings with 20+ photos consistently outperform in search ranking and conversion.
  • 36.0% 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

  • 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 Changlun averages across all three metrics are better positioned for premium pricing.

What Amenities Do Airbnb Guests Expect in Changlun?

Amenity Prevalence

Amenity Insights for Changlun

  • Essential amenities in Changlun that guests expect include: Air conditioning, Free parking on premises. Lacking these (any) could significantly impact bookings.
  • Popular amenities like TV, Kitchen, Iron are common but not universal. Offering these can provide a competitive edge.
  • Warning: Wifi is not universally provided but is considered essential globally. Ensure reliable Wifi is offered.

Recommendations for Hosts

  • Ensure your listing includes all essential amenities for Changlun: Air conditioning, Free parking on premises.
  • Consider adding popular differentiators like TV or Kitchen 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 Changlun to stay competitive.

Which Airbnb Amenities Boost Revenue in Changlun?

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

AmenityPrevalenceRevenue WithRevenue WithoutRevenue Uplift
Room-darkening shades
20.0%$5,708$2,340143.9%
Hair dryer
20.0%$5,419$2,412124.6%
Hangers
68.0%$3,607$1,753105.7%
Extra pillows and blankets
28.0%$4,420$2,46779.2%
Clothing storage
44.0%$3,990$2,24777.6%
Bed linens
36.0%$4,128$2,38772.9%
Bidet
32.0%$4,137$2,48566.5%
Hot water
56.0%$3,654$2,19966.2%
Rice maker
28.0%$4,093$2,59457.8%
Microwave
24.0%$4,175$2,64757.7%

Revenue Impact Insights for Changlun

  • Room-darkening shades tops the revenue impact list with a 143.9% uplift — listings with this amenity earn $5,708 vs. $2,340 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 Changlun STR Market Data (2026)

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

Explore Advanced Metrics

Changlun 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 Changlun

  • The typical guest profile for Airbnb in Changlun consists of primarily domestic travelers (98%), often arriving from nearby Kuala Lumpur, typically belonging to the Post-2000s (Gen Z/Alpha) group (50%), primarily speaking English or Malay.
  • Domestic travelers account for 98.1% of guests.
  • Key international markets include Malaysia (98.1%) and Singapore (1.9%).
  • Top languages spoken are English (46.5%) followed by Malay (45.1%).
  • A significant demographic segment is the Post-2000s (Gen Z/Alpha) group, representing 50% of guests.

Recommendations for Hosts

  • Target domestic marketing efforts towards travelers from Kuala Lumpur and Selangor.
  • 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 Changlun?

Listings in Changlun average 4.85 out of 5 overall, with about 21.7 reviews per active listing and 40.0% of listings carrying the Guest Favorite badge.

Rating Breakdown by Category

Guest Rating Insights for Changlun

  • With an overall rating of 4.85, Changlun listings meet an exceptionally high bar. Guests consistently report strong satisfaction, which drives repeat bookings and referral traffic.
  • The strongest subcategory is Check-in (4.91), while Location (4.8) trails behind — a useful signal for hosts looking to prioritize upgrades.
  • 40.0% 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 Location — 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.

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

Available Days Distribution

Booked Days Distribution

Booking Pattern Insights for Changlun

  • The most common availability pattern in Changlun falls within the 271-366 days range, representing 92% 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 31-90 days range is most frequent in Changlun (64%), reflecting common guest stay durations or potential owner blocking patterns.

How Far in Advance Do Guests Book Airbnb in Changlun?

Average Booking Lead Time by Month

Booking Lead Time Insights for Changlun

  • The overall average booking lead time for vacation rentals in Changlun is 21 days.
  • Guests book furthest in advance for stays during November (average 46 days), likely coinciding with peak travel demand or local events.
  • The shortest booking windows occur for stays in August (average 13 days), indicating more last-minute travel plans during this time.
  • Seasonally, Fall (27 days avg.) sees the longest lead times, while Summer (14 days avg.) has the shortest, reflecting typical travel planning cycles.

Recommendations for Hosts

  • Use the overall average lead time (21 days) as a baseline for your pricing and availability strategy in Changlun.
  • For November stays, consider implementing length-of-stay discounts or slightly higher rates for bookings made less than 46 days out to capitalize on advance planning.
  • During August, focus on last-minute booking availability and promotions, as guests book with very short notice (13 days avg.).
  • Target marketing efforts for the Fall season well in advance (at least 27 days) to capture early planners.
  • Monitor your own booking lead times against these Changlun averages to identify opportunities for dynamic pricing adjustments.

What Is the Average Length of Stay for Airbnb in Changlun?

Guests in Changlun stay about 2.4 nights on average, generating roughly 286 reservations and 11.4 bookings per listing in the latest AirROI dataset. The most common check-in time is 3:00 PM and check-out is 12:00 PM.

Monthly Length of Stay in Changlun

Check-in Time Distribution

Check-out Time Distribution

Stay Pattern Insights for Changlun

  • Very short stays drive high turnover. Cleaning costs, consumable restocking, and check-in coordination become significant operational factors at this frequency.
  • 11.4 bookings per listing is a manageable pace that balances revenue with operational overhead.
  • Stay lengths peak in Jun (3.7 nights) and shorten in Sep (1.7 nights). Adjust minimum-night requirements seasonally to match.

Recommendations for Hosts

  • With shorter average stays, focus on streamlining turnover. Self-check-in, reliable cleaning crews, and pre-staged amenities can reduce per-booking operational costs.
  • Set your check-in time to match or beat the market standard of 3:00 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.

Changlun Airbnb Minimum Stay Requirements Analysis

Distribution of Listings by Minimum Night Requirement

1 Night (92%)

1 Night

23 listings

92% of total

30+ Nights (8%)

30+ Nights

2 listings

8% of total

Key Insights

  • The most prevalent minimum stay requirement in Changlun is 1 Night, adopted by 92% of listings. This highlights the market's preference for shorter, flexible bookings.
  • A strong majority (92.0%) of the Changlun 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 92% of Changlun hosts use this setting.
  • Explore offering discounts for stays of 30+ nights to attract the 8% of the market seeking extended stays.
  • Adjust minimum nights based on seasonality – potentially shorter during low season and longer during peak demand periods in Changlun.

Changlun Airbnb Cancellation Policy Trends Analysis (2026)

Limited

1 listings

4% of total

Flexible (36%)

Flexible

9 listings

36% of total

Moderate (36%)

Moderate

9 listings

36% of total

Firm (24%)

Firm

6 listings

24% of total

Cancellation Policy Insights for Changlun

  • The prevailing Airbnb cancellation policy trend in Changlun is Flexible, used by 36% of listings.
  • The market strongly favors guest-friendly terms, with 72.0% of listings offering Flexible or Moderate policies. This suggests guests in Changlun may expect booking flexibility.

Recommendations for Hosts

  • Consider adopting a Flexible policy to align with the 36% market standard in Changlun.
  • Regularly review your cancellation policy against competitors and market demand shifts in Changlun.

How Much Are Airbnb Cleaning Fees in Changlun?

Cleaning fees in Changlun 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
$7
Median Cleaning Fee
$6
Listings Charging a Fee
28.0%
Fee as Revenue Share
3.7%

Cleaning Fee Insights for Changlun

  • Only 28.0% of listings charge a cleaning fee, suggesting that most hosts in Changlun bundle cleaning costs into the nightly rate.
  • The average cleaning fee of $7 is close to the median ($6), suggesting a relatively consistent fee structure across the market.
  • Cleaning fees represent 3.7% of gross revenue on average — a modest component of the overall booking price.

Recommendations for Hosts

  • Price your cleaning fee competitively against the Changlun median of $6. 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 Changlun Look Like?

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

Ohana Residence Private Pool Stay Changlun

Ohana Residence Private Pool Stay Changlun

Entire Place • 5 bedrooms

$12,232
Revenue
35.1%
Occupancy
$187.89
Daily Rate
Dang Alisha Homestay

Dang Alisha Homestay

Entire Place • 4 bedrooms

$7,396
Revenue
36.7%
Occupancy
$69.18
Daily Rate
ZORRO HOMESTAY CHANGLUN KEDAH

ZORRO HOMESTAY CHANGLUN KEDAH

Entire Place • 4 bedrooms

$5,752
Revenue
27.3%
Occupancy
$58.75
Daily Rate
Zahirian Homestay | Near UUM | Changlun

Zahirian Homestay | Near UUM | Changlun

Entire Place • 3 bedrooms

$5,641
Revenue
32.0%
Occupancy
$61.94
Daily Rate
Clean house perfect for gatherings

Clean house perfect for gatherings

Entire Place • 4 bedrooms

$5,334
Revenue
27.6%
Occupancy
$102.83
Daily Rate
Izz' Family Homestay

Izz' Family Homestay

Entire Place • 3 bedrooms

$4,734
Revenue
41.4%
Occupancy
$54.44
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 Changlun?

Learn from the best! This table showcases top-performing Airbnb hosts in Changlun 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 Changlun by revenue
Host NamePropertiesGrossing RevenueStay ReviewsAvg Rating
Faharol1$12,23274.57/5.0
Ku Mohammad Yusri3$8,2821804.93/5.0
Dang1$7,396154.93/5.0
Delima3$6,529394.92/5.0
Siti Azura1$5,752194.89/5.0
Md Zahir1$5,6411024.84/5.0
Chiew Chia1$5,3342Not Rated
Muhammad Syafiq1$4,734275.00/5.0
Siti Aminah1$3,109164.81/5.0
Ammar1$2,992124.67/5.0

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 Changlun.

Who Are the Airbnb Hosts in Changlun?

Changlun has a relatively balanced host base.

Superhosts
40.0%
Professional Management
0.0%
Cohosted Listings
8.0%
Instant Book Enabled
0.0%
Simplified Pricing
76.0%

Host Profile Insights for Changlun

  • A 40.0% Superhost share is healthy — enough experienced operators to anchor quality without making the market impenetrable for newcomers.
  • 0.0% of listings have Instant Book enabled. Lower Instant Book adoption means many guests must request approval, which can slow conversions.
  • 76.0% 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

  • Earning Superhost status can significantly improve search ranking and guest trust. Focus on maintaining high response rates, low cancellations, and strong reviews.
  • Consider enabling Instant Book — it reduces booking friction and Airbnb's algorithm tends to favor Instant Book listings in search results.
  • Benchmark your host metrics against these Changlun averages regularly and adjust your hosting strategy based on what top performers do differently.

How Does Changlun's Airbnb Market Compare to Nearby Cities?

How does the Changlun 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 Khlong Nin, Changlun has 28 percentage points lower occupancy and about $50 lower ADR. That helps frame whether this market is winning more on demand, pricing, or both.

Airbnb markets near Changlun — performance comparison
MarketActive PropertiesMonthly RevenueDaily RateAvg. Occupancy
Haad Khlong Khong91$1,842$157.1541%
Tengah Island72$1,810$203.0631%
Kuala Teriang12$1,606$247.0429%
Ao Kantiang23$1,458$184.8337%
Khlong Nin36$1,192$108.3451%
Tanjung Tokong26$958$84.9350%
Kampung Padang Gaong44$953$90.6940%
Sala Dan182$942$110.1940%
Langkawi272$924$122.8732%
Ko Lanta50$849$81.8839%

Frequently Asked Questions About Airbnb in Changlun

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

How much do Airbnb hosts make in Changlun?

Changlun hosts earn about $3,014 per year on average, with an average nightly rate of $59 and RevPAR of $15. Those figures describe the typical revenue environment for active listings in Changlun, Kedah, not the ceiling for the best operators. Source: AirROI 2026 data, Changlun market, June 2025 to May 2026.

What is the average Airbnb occupancy rate in Changlun?

The average Airbnb occupancy rate in Changlun is 22.8%. December is the strongest month and September 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 Changlun?

Listings in Changlun average $59 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 Changlun?

Changlun currently has about 25 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 Changlun?

AirROI currently classifies the short-term rental regulation level in Changlun 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 Changlun?

RevPAR in Changlun is about $15. 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 Changlun?

Occupancy of 22.8% means Changlun 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 $3,014, 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 Changlun?

The average booking lead time in Changlun is about 21 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 Changlun?

Based on AirROI's analysis, some of the top neighborhoods for short-term rentals in Changlun include Changlun Town Center, Kedah Rice Museum, Kilim Geoforest Park. 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 Changlun?

entire_home listings make up 100.0% of the active supply in Changlun. 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 Changlun compare to nearby Airbnb markets?

Among neighboring markets, Haad Khlong Khong posts $22,109 in average annual revenue with 41.2% occupancy, compared to Changlun's $3,014 and 22.8%. 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 Changlun?

The average Airbnb stay length in Changlun is about 2.4 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 Changlun?

Airbnb listings in Changlun average 4.85 out of 5 overall. About 40.0% 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 Changlun?

Room-darkening shades and Hair dryer are among the strongest revenue-linked amenities in Changlun. 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 Changlun?

Yes. About 28.0% of active Airbnb listings in Changlun charge a cleaning fee, and the average fee is $7. 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 Changlun?

A 40.0% 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 2026-05-31. 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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