Pak Nam Subdistrict, Samut Prakan Province Airbnb Market Data 2026: STR Report & Statistics
How much can you earn on Airbnb in Pak Nam Subdistrict, Samut Prakan Province? Based on AirROI's 2026 dataset (April 2025 – March 2026), the short answer is $2,530 per year — at a $28 nightly rate, 42.9% occupancy, and a $13 RevPAR that reflects moderate rate-to-revenue efficiency with room to optimize.
With just 34 active listings, Pak Nam Subdistrict is a micro-market where moderate demand with room for well-positioned listings to outperform. Supply grew 41.7% year over year, and the market is recalibrating around a new competitive baseline. This is the stage where hosts who invest in amenities, guest experience, and dynamic pricing build durable advantages that compound as the market matures.
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.
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What Are the Key Airbnb Metrics in Pak Nam Subdistrict?
In Pak Nam Subdistrict, the headline Airbnb metrics are $2,530 in average annual revenue,42.9% occupancy, $28 ADR, and $13 in RevPAR, and guests book about 19 days in advance.
How Much Do Airbnb Hosts Earn Monthly in Pak Nam Subdistrict?
Understanding the monthly revenue variations for Airbnb listings in Pak Nam Subdistrict 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 Pak Nam Subdistrict is typically December, while March often presents the lowest earnings, highlighting opportunities for strategic pricing adjustments during shoulder and low seasons. Explore the typical Airbnb income in Pak Nam Subdistrict across different performance tiers:
- Best-in-class properties (Top 10%) achieve $782+ monthly, often utilizing dynamic pricing and superior guest experiences.
- Strong performing properties (Top 25%) earn $602 or more, indicating effective management and desirable locations/amenities.
- Typical properties (Median) generate around $360 per month, representing the average market performance.
- Entry-level properties (Bottom 25%) see earnings around $167, often with potential for optimization.
Average Monthly Airbnb Earnings Trend in Pak Nam Subdistrict
What Is the Monthly Airbnb Occupancy Rate in Pak Nam Subdistrict?
Maximize your bookings by understanding the Pak Nam Subdistrict STR occupancy trends. Seasonal demand shifts significantly influence how often properties are booked. Typically, Novembersees the highest demand (peak season occupancy), while March 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 Pak Nam Subdistrict:
- Best-in-class properties (Top 10%) achieve 82%+ occupancy, indicating high desirability and potentially optimized availability.
- Strong performing properties (Top 25%) maintain 71% or higher occupancy, suggesting good market fit and guest satisfaction.
- Typical properties (Median) have an occupancy rate around 42%.
- Entry-level properties (Bottom 25%) average 20% occupancy, potentially facing higher vacancy.
Average Monthly Occupancy Rate Trend in Pak Nam Subdistrict
What Is the Average Airbnb Nightly Rate in Pak Nam Subdistrict?
Effective short term rental pricing strategy in Pak Nam Subdistrict involves understanding monthly ADR fluctuations. The Average Daily Rate (ADR) for Airbnb in Pak Nam Subdistrict typically peaks in October and dips lowest during April. 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 $40+ per night, often due to premium features or locations.
- Strong performing properties (Top 25%) achieve nightly rates of $33 or more.
- Typical properties (Median) charge around $27 per night.
- Entry-level properties (Bottom 25%) earn around $22 per night.
Average Daily Rate (ADR) Trend by Month in Pak Nam Subdistrict
What Is the RevPAR for Airbnb in Pak Nam Subdistrict?
RevPAR in Pak Nam Subdistrict is currently $13. 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 $12 RevPAR.
- Strong performers (Top 25%) earn $17 RevPAR.
- Best-in-class (Top 10%) achieve $21 RevPAR.
Average Monthly RevPAR Trend in Pak Nam Subdistrict
RevPAR Insights for Pak Nam Subdistrict
- The average RevPAR in Pak Nam Subdistrict is $13. 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% ($21) and bottom 25% ($7) is $14, suggesting a relatively compressed market where operational differences yield moderate returns.
- RevPAR peaks in Dec and bottoms out in Mar, mirroring the broader seasonal demand pattern and suggesting opportunities for dynamic pricing.
Recommendations for Hosts
- Track your own RevPAR monthly against these Pak Nam Subdistrict benchmarks. If your RevPAR falls below the median of $12, 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 Pak Nam Subdistrict?
Pak Nam Subdistrict's peak Airbnb season falls in December, November, August, while the softest stretch is March, April, July. Overall, the market shows moderate seasonality with distinct peak and low periods, which should guide pricing, minimum stays, and cash-flow planning.
Peak Season (December, November, August)
- Revenue averages $495 per month
- Occupancy rates average 50.2%
- Daily rates average $30
Shoulder Season
- Revenue averages $423 per month
- Occupancy maintains around 45.4%
- Daily rates hold near $30
Low Season (March, April, July)
- Revenue drops to average $349 per month
- Occupancy decreases to average 38.6%
- Daily rates adjust to average $30
Seasonality Insights for Pak Nam Subdistrict
- The Airbnb seasonality pattern in Pak Nam Subdistrict shows moderate seasonality with distinct peak and low periods. While the sections above show seasonal averages, it is also insightful to look at the extremes:
- During the high season, the absolute peak month showcases Pak Nam Subdistrict's highest earning potential, with monthly revenues climbing to $519, occupancy reaching 52.2%, and ADRs peaking at $31.
- Conversely, the slowest single month marks the market's lowest point — revenue may dip to $328, occupancy could drop to 32.4%, and ADRs may adjust to $30.
- Understanding both the seasonal averages and these monthly peaks and troughs in revenue, occupancy, and ADR is crucial for maximizing your Airbnb profit potential in Pak Nam Subdistrict.
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.
- Regularly analyze your own performance against these Pak Nam Subdistrict seasonality benchmarks and adjust your pricing and availability strategy accordingly.
Do You Need a License for Airbnb in Pak Nam Subdistrict?
Low regulation and minimal registration activity in Pak Nam Subdistrict, Samut Prakan Province, Thailand 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 Pak Nam Subdistrict 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 Pak Nam Subdistrict?
With a compact short-term rental market, Pak Nam Subdistrict 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.
| Neighborhood / Area | Why Host Here? (Target Guests & Appeal) | Key Attractions & Landmarks |
|---|---|---|
| Pak Nam Pier | A bustling area with ferry access to nearby attractions and the famous waterfront market. Ideal for travelers looking to enjoy local seafood and explore the Chao Phraya River. | Pak Nam Waterfront Market, Wat Khun Samut Jingha, Chao Phraya River tours, Samut Prakan Crocodile Farm and Zoo |
| Old Town Samut Prakan | A charming part of the city that showcases traditional Thai architecture and culture. Offers a glimpse into the local lifestyle with proximity to historical sites. | King Narai's Palace, Erawan Museum, Ancient City (Maha Nakhon), local street markets |
| Bang Pu | Known for its beautiful beach and bird sanctuary, this area attracts nature lovers and families looking for leisure activities. | Bang Pu Recreation Center, Bang Pu Beach, Bird Watching at Bang Pu, Seafood restaurants |
| Samut Prakan Aquarium | Great for families and kids, this large aquarium features a variety of marine life and interactive exhibits, making it a popular day trip location. | Samut Prakan Aquarium, Eco Park, Nearby shopping areas |
| Thepha | A quieter area known for its local markets and community vibe, perfect for travelers seeking an authentic Thai experience. | Thepha local market, Traditional Thai culture experiences |
| Koh Kham | A small island near Pak Nam, famous for its pristine beaches and snorkeling opportunities. A hidden gem for those seeking a tropical getaway. | Snorkeling, Beach relaxation, Local seafood shacks |
| Phra Pradaeng | An area known for its lush green parks and cycling routes, offering a retreat from the urban hustle, popular with eco-friendly travelers. | Bang Kachao Park, Green cycling routes, Local cafes |
| Pak Nam Night Market | A vibrant night market that offers a variety of local foods and handmade crafts, perfect for tourists wanting to experience local culture after dark. | Street food stalls, Handicrafts, Live music events |
With 8 distinct neighborhoods showing meaningful short-term rental activity, Pak Nam Subdistrict 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 Pak Nam Subdistrict?
Room Type Distribution
Property Type Distribution
Market Composition Insights for Pak Nam Subdistrict
- The Pak Nam Subdistrict Airbnb market composition is heavily skewed towards Private Room listings, which make up 50% of the 34 active rentals. This indicates strong guest preference for privacy and space.
- Looking at the property type distribution in Pak Nam Subdistrict, Apartment/Condo properties are the most common (88.2%), reflecting the local real estate landscape.
- The presence of 8.8% Hotel/Boutique listings indicates integration with traditional hospitality.
- Smaller segments like house (combined 2.9%) offer potential for unique stay experiences.
Pak Nam Subdistrict Airbnb Room Capacity Analysis (2026): Bedroom Distribution
Distribution of Listings by Number of Bedrooms
Room Capacity Insights for Pak Nam Subdistrict
- The dominant room capacity in Pak Nam Subdistrict is 1 bedroom listings, making up 55.9% of the market. This suggests a strong demand for properties suitable for couples or solo travelers.
- Together, 1 bedroom and 5+ bedrooms properties represent 73.5% of the active Airbnb listings in Pak Nam Subdistrict, indicating a high concentration in these sizes.
- With over half the market (55.9%) consisting of studios or 1-bedroom units, Pak Nam Subdistrict is particularly well-suited for individuals or couples.
Pak Nam Subdistrict Vacation Rental Guest Capacity Trends (2026)
Distribution of Listings by Guest Capacity
Guest Capacity Insights for Pak Nam Subdistrict
- The most common guest capacity trend in Pak Nam Subdistrict vacation rentals is listings accommodating 2 guests (50%). This suggests the primary traveler segment is likely couples or solo travelers.
- Properties designed for 2 guests and 3 guests dominate the Pak Nam Subdistrict STR market, accounting for 55.9% of listings.
- A significant 50.0% of listings cater specifically to 1-2 guests, highlighting strong demand from couples and solo travelers in Pak Nam Subdistrict.
- On average, properties in Pak Nam Subdistrict are equipped to host 1.3 guests.
How Do Listings in Pak Nam Subdistrict Compare on Quality?
Listing quality in Pak Nam Subdistrict 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.
Listing Quality Insights for Pak Nam Subdistrict
- At 32.3 photos per listing on average, Pak Nam Subdistrict hosts invest well in visual presentation. Listings with 20+ photos consistently outperform in search ranking and conversion.
- 20.6% 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 Pak Nam Subdistrict averages across all three metrics are better positioned for premium pricing.
What Amenities Do Airbnb Guests Expect in Pak Nam Subdistrict?
Amenity Prevalence
Amenity Insights for Pak Nam Subdistrict
- Essential amenities in Pak Nam Subdistrict that guests expect include: Wifi, Air conditioning, TV, Hangers, Pool. Lacking these (any) could significantly impact bookings.
- Popular amenities like Hot water, Washer, Essentials are common but not universal. Offering these can provide a competitive edge.
Recommendations for Hosts
- Ensure your listing includes all essential amenities for Pak Nam Subdistrict: Wifi, Air conditioning, TV, Hangers, Pool.
- Prioritize adding missing essentials: Wifi, TV, Hangers, Pool.
- Consider adding popular differentiators like Hot water 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 Pak Nam Subdistrict to stay competitive.
Which Airbnb Amenities Boost Revenue in Pak Nam Subdistrict?
Not every amenity matters equally. This table focuses on the amenities most associated with higher revenue in Pak Nam Subdistrict, which makes it more useful for prioritizing upgrades than a simple popularity list alone.
| Amenity | Prevalence | Revenue With | Revenue Without | Revenue Uplift |
|---|---|---|---|---|
Smoke alarm | 61.8% | $3,497 | $967 | 261.8% |
Gym | 73.5% | $3,096 | $955 | 224.1% |
Shower gel | 41.2% | $3,693 | $1,715 | 115.4% |
Sun loungers | 14.7% | $4,363 | $2,213 | 97.1% |
Body soap | 20.6% | $4,130 | $2,115 | 95.3% |
Patio or balcony | 58.8% | $3,161 | $1,628 | 94.2% |
Dishes and silverware | 58.8% | $3,161 | $1,628 | 94.2% |
Refrigerator | 58.8% | $3,161 | $1,628 | 94.2% |
Microwave | 58.8% | $3,161 | $1,628 | 94.2% |
Paid parking off premises | 14.7% | $4,221 | $2,238 | 88.6% |
Revenue Impact Insights for Pak Nam Subdistrict
- Smoke alarm tops the revenue impact list with a 261.8% uplift — listings with this amenity earn $3,497 vs. $967 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 Pak Nam Subdistrict STR Market Data (2026)
Ready to unlock more insights? AirROI provides access to advanced metrics and comprehensive Airbnb data for Pak Nam Subdistrict. Explore detailed analytics beyond this report to refine your investment strategy, optimize pricing, and maximize your vacation rental profits.
Explore Advanced MetricsPak Nam Subdistrict Airbnb Guest Demographics & Profile Analysis (2026)
Guest Profile Summary for Pak Nam Subdistrict
- The typical guest profile for Airbnb in Pak Nam Subdistrict consists of predominantly international visitors (96%), with top international origins including Germany, typically belonging to the Post-2000s (Gen Z/Alpha) group (50%), primarily speaking English or German.
- Domestic travelers account for 3.6% of guests.
- Key international markets include United States (17.9%) and Germany (14.3%).
- Top languages spoken are English (45.9%) followed by German (8.1%).
- 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 Germany.
- 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 Pak Nam Subdistrict?
Listings in Pak Nam Subdistrict average 4.76 out of 5 overall, with about 21.6 reviews per active listing and 29.4% of listings carrying the Guest Favorite badge.
Rating Breakdown by Category
Guest Rating Insights for Pak Nam Subdistrict
- An average rating of 4.76 places Pak Nam Subdistrict in solid territory. Most guests leave satisfied, though there is room for hosts to push toward the top tier.
- The strongest subcategory is Check-in (4.8), while Location (4.47) trails behind — a useful signal for hosts looking to prioritize upgrades.
- 29.4% 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.
- With only 29.4% of listings earning Guest Favorite status, hosts who consistently exceed expectations have a clear competitive advantage.
Pak Nam Subdistrict Airbnb Booking Patterns (2026): Available vs. Booked Days
Available Days Distribution
Booked Days Distribution
Booking Pattern Insights for Pak Nam Subdistrict
- The most common availability pattern in Pak Nam Subdistrict falls within the 271-366 days range, representing 64.7% of listings. This suggests many properties have significant open periods on their calendars.
- Approximately 79.4% 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 Pak Nam Subdistrict (32.4%), reflecting common guest stay durations or potential owner blocking patterns.
- A notable 20.5% 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 Pak Nam Subdistrict?
Average Booking Lead Time by Month
Booking Lead Time Insights for Pak Nam Subdistrict
- The overall average booking lead time for vacation rentals in Pak Nam Subdistrict is 19 days.
- Guests book furthest in advance for stays during November (average 37 days), likely coinciding with peak travel demand or local events.
- The shortest booking windows occur for stays in May (average 7 days), indicating more last-minute travel plans during this time.
- Seasonally, Fall (33 days avg.) sees the longest lead times, while Spring (18 days avg.) has the shortest, reflecting typical travel planning cycles.
Recommendations for Hosts
- Use the overall average lead time (19 days) as a baseline for your pricing and availability strategy in Pak Nam Subdistrict.
- For November stays, consider implementing length-of-stay discounts or slightly higher rates for bookings made less than 37 days out to capitalize on advance planning.
- During May, focus on last-minute booking availability and promotions, as guests book with very short notice (7 days avg.).
- Target marketing efforts for the Fall season well in advance (at least 33 days) to capture early planners.
- Monitor your own booking lead times against these Pak Nam Subdistrict averages to identify opportunities for dynamic pricing adjustments.
What Is the Average Length of Stay for Airbnb in Pak Nam Subdistrict?
Guests in Pak Nam Subdistrict stay about 15.6 nights on average, generating roughly 247 reservations and 7.3 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 Pak Nam Subdistrict
Check-in Time Distribution
Check-out Time Distribution
Stay Pattern Insights for Pak Nam Subdistrict
- Longer stays mean fewer turnovers and lower cleaning costs per revenue dollar. This pattern also opens the door to monthly discount strategies that attract remote workers and extended-stay travelers.
- Stay lengths peak in Nov (23.8 nights) and shorten in May (9.3 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 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.
Pak Nam Subdistrict Airbnb Minimum Stay Requirements Analysis
Distribution of Listings by Minimum Night Requirement
1 Night
14 listings
41.2% of total
7-29 Nights
15 listings
44.1% of total
30+ Nights
5 listings
14.7% of total
Key Insights
- The most prevalent minimum stay requirement in Pak Nam Subdistrict is 7-29 Nights, adopted by 44.1% of listings. This highlights the market's preference for shorter, flexible bookings.
- A significant segment (14.7%) caters to monthly stays (30+ nights) in Pak Nam Subdistrict, pointing to opportunities in the extended-stay market.
Recommendations
- Align with the market by considering a 7-29 Nights minimum stay, as 44.1% of Pak Nam Subdistrict hosts use this setting.
- Explore offering discounts for stays of 30+ nights to attract the 14.7% of the market seeking extended stays.
- Adjust minimum nights based on seasonality – potentially shorter during low season and longer during peak demand periods in Pak Nam Subdistrict.
Pak Nam Subdistrict Airbnb Cancellation Policy Trends Analysis (2026)
Flexible
4 listings
11.8% of total
Moderate
20 listings
58.8% of total
Firm
10 listings
29.4% of total
Cancellation Policy Insights for Pak Nam Subdistrict
- The prevailing Airbnb cancellation policy trend in Pak Nam Subdistrict is Moderate, used by 58.8% of listings.
- The market strongly favors guest-friendly terms, with 70.6% of listings offering Flexible or Moderate policies. This suggests guests in Pak Nam Subdistrict may expect booking flexibility.
Recommendations for Hosts
- Consider adopting a Moderate policy to align with the 58.8% market standard in Pak Nam Subdistrict.
- Regularly review your cancellation policy against competitors and market demand shifts in Pak Nam Subdistrict.
How Much Are Airbnb Cleaning Fees in Pak Nam Subdistrict?
Cleaning fees in Pak Nam Subdistrict 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.
Cleaning Fee Insights for Pak Nam Subdistrict
- Only 29.4% of listings charge a cleaning fee, suggesting that most hosts in Pak Nam Subdistrict bundle cleaning costs into the nightly rate.
- The average cleaning fee of $379 is close to the median ($554), suggesting a relatively consistent fee structure across the market.
- Cleaning fees represent 2.3% of gross revenue on average — a modest component of the overall booking price.
Recommendations for Hosts
- Price your cleaning fee competitively against the Pak Nam Subdistrict median of $554. 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 Pak Nam Subdistrict Look Like?
Benchmark your potential! Explore examples of top-performing Airbnb properties in Pak Nam Subdistrictbased on Trailing Twelve Month (TTM) revenue. Analyze their characteristics, revenue, occupancy rate, and ADR to understand what drives success in this market.
River view and train station apartment
Entire Place • 1 bedroom
Cozy Studio near Sukhumvit-PakNam BTS | River View
Entire Place • 1 bedroom
Comfy Condo near Pak Nam BTS, Amazing River Views.
Entire Place • 1 bedroom
5min walk to BTS Erawan(E17); Free Airport Pickup
Entire Place • 1 bedroom
Paknam River Curve F.22
Private Room • N/A
Non-smokingPrivacyRoom3@BTS(E17)Wifi300/300,Garden
Private Room • N/A
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 Pak Nam Subdistrict?
Learn from the best! This table showcases top-performing Airbnb hosts in Pak Nam Subdistrict based on the number of properties managed and estimated total revenue over the past year. Analyze their scale and performance metrics.
| Host Name | Properties | Grossing Revenue | Stay Reviews | Avg Rating |
|---|---|---|---|---|
| Kanyaphak | 5 | $12,832 | 76 | 4.89/5.0 |
| Suwatchai | 12 | $11,392 | 307 | 4.58/5.0 |
| Krittiya | 1 | $10,225 | 26 | 4.92/5.0 |
| Mika | 3 | $9,045 | 20 | 4.78/5.0 |
| Naiyana | 1 | $7,926 | 72 | 4.90/5.0 |
| Alice | 4 | $7,807 | 72 | 4.92/5.0 |
| Natt | 1 | $7,687 | 33 | 4.79/5.0 |
| Nicholas | 1 | $6,644 | 27 | 4.96/5.0 |
| Paparda | 1 | $6,117 | 52 | 4.87/5.0 |
| Superhost | 1 | $1,845 | 13 | 5.00/5.0 |
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 Pak Nam Subdistrict.
Who Are the Airbnb Hosts in Pak Nam Subdistrict?
Pak Nam Subdistrict has a relatively balanced host base.
Host Profile Insights for Pak Nam Subdistrict
- A 38.2% Superhost share is healthy — enough experienced operators to anchor quality without making the market impenetrable for newcomers.
- 2.9% of listings have Instant Book enabled. Lower Instant Book adoption means many guests must request approval, which can slow conversions.
- 52.9% 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.
- With 32.4% cohosted listings, there may be a growing local market for property management services.
- Benchmark your host metrics against these Pak Nam Subdistrict averages regularly and adjust your hosting strategy based on what top performers do differently.
How Does Pak Nam Subdistrict's Airbnb Market Compare to Nearby Cities?
How does the Pak Nam Subdistrict 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 Suan Luang, Pak Nam Subdistrict has 11 percentage points lower occupancy and about $52 lower ADR. That helps frame whether this market is winning more on demand, pricing, or both.
| Market | Active Properties | Monthly Revenue | Daily Rate | Avg. Occupancy |
|---|---|---|---|---|
| Nong Pla Lai | 11 | $1,886 | $288.42 | 36% |
| Huai Yai | 36 | $1,819 | $268.72 | 30% |
| Khet Bang Rak | 35 | $1,628 | $110.60 | 52% |
| Ban Malai Thap Tai | 10 | $1,554 | $255.28 | 31% |
| Pathum Wan | 27 | $1,292 | $109.92 | 47% |
| Suan Luang | 14 | $1,213 | $80.06 | 54% |
| Ban Nong Bua | 33 | $1,193 | $187.85 | 27% |
| Ban Nong Hiang | 51 | $1,159 | $225.55 | 34% |
| Samphanthawong | 16 | $1,120 | $106.12 | 47% |
| Pong Ta Long | 11 | $1,097 | $303.31 | 18% |
Frequently Asked Questions About Airbnb in Pak Nam Subdistrict
These quick answers summarize the most common investor and operator questions using AirROI's latest market data for Pak Nam Subdistrict.
How much do Airbnb hosts make in Pak Nam Subdistrict?
Pak Nam Subdistrict hosts earn about $2,530 per year on average, with an average nightly rate of $28 and RevPAR of $13. Those figures describe the typical revenue environment for active listings in Pak Nam Subdistrict, Samut Prakan Province, not the ceiling for the best operators. Source: AirROI 2026 data, Pak Nam Subdistrict market, April 2025 to March 2026.
What is the average Airbnb occupancy rate in Pak Nam Subdistrict?
The average Airbnb occupancy rate in Pak Nam Subdistrict is 42.9%. December is the strongest month and March 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 Pak Nam Subdistrict?
Listings in Pak Nam Subdistrict average $28 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 Pak Nam Subdistrict?
Pak Nam Subdistrict currently has about 34 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 Pak Nam Subdistrict?
AirROI currently classifies the short-term rental regulation level in Pak Nam Subdistrict 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 Pak Nam Subdistrict?
RevPAR in Pak Nam Subdistrict is about $13. 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 Pak Nam Subdistrict?
At 42.9% occupancy, Pak Nam Subdistrict can be profitable — but margins depend heavily on operating costs, property acquisition price, and how well hosts optimize pricing across seasons. Average annual revenue is $2,530, 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 Pak Nam Subdistrict?
The average booking lead time in Pak Nam Subdistrict is about 19 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 Pak Nam Subdistrict?
Based on AirROI's analysis, some of the top neighborhoods for short-term rentals in Pak Nam Subdistrict include Pak Nam Pier, Old Town Samut Prakan, Bang Pu. 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 Pak Nam Subdistrict?
private_room listings make up 50.0% of the active supply in Pak Nam Subdistrict. 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 Pak Nam Subdistrict compare to nearby Airbnb markets?
Among neighboring markets, Nong Pla Lai posts $22,629 in average annual revenue with 35.7% occupancy, compared to Pak Nam Subdistrict's $2,530 and 42.9%. 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 Pak Nam Subdistrict?
The average Airbnb stay length in Pak Nam Subdistrict is about 15.6 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 Pak Nam Subdistrict?
Airbnb listings in Pak Nam Subdistrict average 4.76 out of 5 overall. About 29.4% 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 Pak Nam Subdistrict?
Smoke alarm and Gym are among the strongest revenue-linked amenities in Pak Nam Subdistrict. 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 Pak Nam Subdistrict?
Yes. About 29.4% of active Airbnb listings in Pak Nam Subdistrict charge a cleaning fee, and the average fee is $379. 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 Pak Nam Subdistrict?
At 38.2%, there is a healthy mix of experienced and newer hosts — earning Superhost status can still provide a meaningful visibility boost.
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 2026-03-31. 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.