This page maps Muscat's listing volume month by month, surfaces seasonal patterns, and explains what the volume trajectory means for buyers and investors tracking Oman's real estate market.
01Full timeline
Every month, every listing
Each bar represents one month of new listings entering the market. Hover any bar to see the exact count and month. The three most recent months are highlighted in green.
All-time peak
0
new listings in a single month
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Source: Tamlik market dataset. Each bar counts distinct listings by the month they were first seen.
02Seasonal patterns
When the market breathes
Not every month is equal. Listing volume follows a seasonal rhythm driven by weather, Ramadan timing, and regional business cycles. Understanding these patterns helps investors time their search and avoid mistaking seasonal dips for market slowdowns.
Peak months
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highest average volume
Dead zone
--
lowest average volume
Avg monthly
--
listings per month across all data
Total tracked
--
months of continuous data
Pattern
Listing volume usually builds after the summer, with the busiest months between August and October. The early months of the year vary more from one year to the next, so a quiet February is not a signal on its own.
03Growth trajectory
A steady flow, a seasonal rhythm
Muscat listing volume moves with the seasons, not in a straight line. The busiest months come after the summer.
What this means for investors
More choice. A larger pool of active listings means buyers can compare more units, negotiate better, and find properties that genuinely match their criteria rather than settling for whatever is available.
More data. Higher volume makes market analytics more reliable. Yield calculations, price-per-sqm medians, and demand ratios all become more trustworthy as sample sizes grow.
A maturing market. Muscat is transitioning from an opaque, relationship-driven property market to one with enough public listing data to support informed decision-making.
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External context: NCSI (National Centre for Statistics and Information) transaction data shows 27% year-over-year growth in property transactions as of January 2026.
04What the volume tells us
Reading the signal
More listings means more reliable data for yield calculations. When the Profit Compass calculator shows a net yield for a 2-bed apartment in Al Mouj, that number is backed by comparable rent and sale listings from the same dataset.
Seasonal dips do not affect long-term investors. A quiet September does not mean the market is cooling. It means fewer people list properties during the hottest month of the year. The underlying demand signal, measured by rent-to-sale ratios, remains consistent across seasons.
The acceleration pattern suggests Muscat is in a market discovery phase. Foreign buyers are finding Oman for the first time. The ITC freehold framework is maturing. And the listing infrastructure (portals, agents, digital marketing) is catching up to regional standards. This combination typically precedes a period of sustained price appreciation in emerging markets.
Data source
All volume figures come from the Tamlik market dataset, with each listing assigned to the month it was first seen. The dataset spans 80+ months of continuous tracking. Some early months may show lower counts because coverage was incomplete, not because the market was quiet.
05Methodology
How we count
Data source
Tamlik market dataset. Each record is one listing with the date it was first seen.
Date parsing
The first-seen date is grouped by month. Listings without a valid date are left out of the time series.
Time range
The sparkline shows all available months, from the earliest recorded listing to the most recent data refresh. Currently spanning 80+ months of market activity.
Known gap
Some months, particularly in 2019 and 2020, may show lower counts due to reporting delays or incomplete scraping runs rather than genuine market inactivity.
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Volume is context, not conviction.
These figures tell you how much the market is producing, not whether any individual property is a good deal. Use volume trends to understand market maturity and data reliability, then use the calculator and price pages for property-level analysis.