Methodology — How Riyadh Residential Collects and Analyzes Market Data

Methodology — How Riyadh Residential Collects and Analyzes Market Data

Riyadh Residential’s value proposition rests on the accuracy, timeliness, and analytical rigor of its market intelligence. This methodology page provides a comprehensive and transparent disclosure of how we collect data, verify pricing information, calculate analytical metrics, construct market narratives, and maintain the editorial standards that distinguish our coverage from general-interest real estate reporting. We publish this methodology because informed readers deserve to understand the foundations of the data and analysis they use to make consequential decisions about property purchases, investments, and market positioning.

Data Source Hierarchy

Our market intelligence draws from a structured hierarchy of data sources, each contributing different types of information with varying levels of reliability, granularity, and timeliness.

Primary Sources (Highest Reliability)

Ministry of Justice Transaction Records. The Saudi Ministry of Justice publishes registered real estate transaction data through the Open Data Portal and Injaz platform. This data includes recorded sale prices, property locations, transaction dates, and property classifications. Ministry of Justice data represents the gold standard for pricing information because it reflects actual completed transactions rather than asking prices or developer list prices. However, it has limitations: recording delays of two to six weeks between transaction completion and data publication, limited property-level detail (square meter pricing must often be calculated from total price and plot area), and the exclusion of transactions that do not require notarization.

General Authority for Statistics (GASTAT). GASTAT publishes the Real Estate Price Index (REPI), housing market statistics, demographic data, and economic indicators that provide macroeconomic context for our market analysis. The REPI is published quarterly and tracks price movements across residential, commercial, and agricultural property categories at the national and regional level. GASTAT data is reliable for trend identification but operates at aggregate levels that may obscure neighborhood-level variations.

Saudi Central Bank (SAMA). SAMA publishes comprehensive mortgage market data including new loan volumes, outstanding balances, interest rates, loan-to-value ratios, and non-performing loan rates. SAMA data is published monthly and quarterly, providing the most authoritative source for mortgage market analysis. We use SAMA data for all mortgage-related metrics, including our calculation that outstanding mortgage balances reached SAR 951.3 billion in 2025, representing approximately 20% of GDP.

REGA (Real Estate General Authority). As the primary regulator of Saudi Arabia’s real estate sector, REGA publishes regulatory updates, Wafi off-plan program statistics, Ejar rental platform data, foreign ownership framework details, and developer licensing information. REGA data is essential for our regulatory coverage and provides the foundation for our analysis of programs like Wafi (101,942 units authorized for off-plan sale, 434 licensed projects in 2023) and Ejar (10 million+ registered contracts since launch).

Developer Disclosures. Publicly listed developers (Dar Al Arkan on Tadawul: 4300, ROSHN as a PIF subsidiary, NHC as a state-owned enterprise) are subject to disclosure requirements that generate reliable financial and operational data. We draw on annual reports, quarterly earnings, exchange filings, and official press releases for developer-specific metrics. For example, NHC’s 2024 revenue of SAR 26 billion and ROSHN’s SAR 37 billion in total contracts signed are sourced directly from corporate disclosures.

Secondary Sources (High Reliability with Caveats)

Established Market Research Organizations. We reference reports from Knight Frank, JLL, CBRE, Cavendish Maxwell, and other internationally recognized real estate consultancies that produce regular Saudi market analysis. These reports undergo professional editorial processes and draw on proprietary datasets, making them reliable secondary sources. However, we note that consultancy reports may carry methodological biases (such as over-representation of prime markets) and occasionally lag current market conditions by one to two quarters.

Accredited Media Sources. Arab News, Saudi Gazette, Argaam, AGBI (Arabian Gulf Business Insight), and other accredited media organizations provide timely coverage of market developments, policy announcements, and developer activity. We use media sources for event-driven coverage (new project announcements, regulatory changes, market milestones) while cross-referencing claims against primary sources wherever possible.

Banking Sector Reports. KAMCO Invest, SNB Capital, Al Rajhi Capital, and other financial sector research teams produce mortgage market analysis, banking sector reviews, and economic outlook reports that inform our understanding of lending conditions and their impact on housing demand. Bank-specific mortgage rate data (Al Rajhi at 4.64% for 25-year terms, Alawwal at 4.55% for 30-year terms, NCB at 4.40% for 20-year terms) is sourced from published rate sheets and confirmed through banking sector reports.

Tertiary Sources (Contextual and Supplementary)

Brokerage Market Reports. Local brokerage firms and property portals publish market reports, listing data, and asking price indices that provide real-time signals about market sentiment and pricing direction. We treat brokerage data as directional rather than definitive — asking prices systematically differ from transaction prices, and listing volumes may not correlate directly with market depth. Brokerage data is most useful for identifying emerging trends and micro-market variations that are not yet visible in registered transaction data.

International Data Platforms. Global Property Guide, Numbeo, and similar platforms aggregate comparative housing data across countries and cities. We reference these platforms for international benchmarking (such as comparing Riyadh’s rental yields against Dubai, Abu Dhabi, and other regional markets) while noting that their methodologies may differ from locally sourced calculations.

Pricing Methodology

Sale Price Calculations

Our neighborhood-level sale price data (expressed as SAR per square meter) is calculated using the following methodology:

1. Transaction-Based Averages. Where Ministry of Justice transaction data provides sufficient sample sizes (minimum 20 transactions per quarter per property type per neighborhood), we calculate volume-weighted average prices per square meter. This methodology captures the actual distribution of market activity, giving greater weight to price points at which more transactions occur.

2. Price Range Construction. Rather than publishing single-point averages (which can be misleading in heterogeneous districts), we publish price ranges that reflect the 25th to 75th percentile of transaction values within each neighborhood. This approach captures the price dispersion that characterizes most Riyadh districts — for example, Al-Malqa ranges from SAR 9,000 to SAR 15,000 per square meter reflecting the diversity from affordable northern zones to premium central locations.

3. Property Type Segmentation. We segment pricing by property type (villas, apartments, townhouses, land) because these categories exhibit fundamentally different pricing dynamics. Citywide, average apartment prices run SAR 4,971 to SAR 5,200 per square meter while villa prices average SAR 5,824 to SAR 6,000 per square meter, with premium segments reaching SAR 6,600 to SAR 15,000 for apartments and SAR 9,500 to SAR 13,500 for villas.

4. Year-over-Year Calculations. Growth rates are calculated on a same-period comparison basis (Q1 2026 versus Q1 2025) to eliminate seasonal effects. We report nominal growth rates and, where applicable, note real (inflation-adjusted) growth rates. The distinction matters: the January 2025 to January 2026 nominal price increase of 8% translates to approximately 6% in real terms.

Rental Price Calculations

Rental data is sourced primarily from Ejar platform statistics and supplemented by brokerage listing data. Our rental calculations follow these conventions:

• Monthly Rates. All rental figures are expressed as monthly rates unless explicitly stated otherwise. Annual rates are divided by 12 for comparison purposes.
• Neighborhood Segmentation. Rental rates are segmented by neighborhood and unit type, reflecting the significant variation across Riyadh — studio apartments range from SAR 2,100 monthly in budget districts to SAR 6,000+ in premium northern Riyadh, while villas range from SAR 10,000 to SAR 30,000+ monthly.
• Rent Freeze Adjustment. Following the implementation of Riyadh’s five-year rent freeze (effective September 25, 2025), our rental data distinguishes between pre-freeze contract rates and frozen rates, noting that new contracts for previously vacant units are fixed based on the last recorded rent in the Ejar system.

Yield Calculation Methodology

Gross rental yield is our primary return metric for income-generating residential property. We calculate it as:

Gross Rental Yield = (Annual Rental Income / Property Purchase Price) x 100

For neighborhood-level yield figures:

• Annual rental income uses the median annual rent for the relevant unit type and neighborhood
• Property purchase price uses the median transaction price for comparable units in the same neighborhood
• The resulting yield represents a pre-expense, pre-tax return that does not account for vacancy, maintenance, management fees, or transaction costs

Our published national average gross rental yield of 6.84% is calculated as the area-weighted average across all tracked neighborhoods and property types, consistent with Global Property Guide methodology for cross-country comparability.

Net yield adjustments. For investment analysis contexts, we apply standard deductions to estimate net yields:

• Vacancy allowance: 5% to 10% of gross rental income (varies by neighborhood and property type)
• Maintenance and repairs: 2% to 4% of gross rental income
• Property management: 5% to 10% of gross rental income (for investors using professional management)
• Insurance: 0.5% to 1% of property value

These deductions typically reduce gross yields by 150 to 300 basis points, translating a 6.84% gross yield into approximately 4.5% to 5.3% net yield depending on the specific cost structure.

Supply Pipeline Methodology

Our tracking of Riyadh’s residential supply pipeline covers projects from announcement through construction to delivery. We categorize projects into the following stages:

1. Announced: Developer or government entity has publicly announced the project with preliminary specifications but construction has not commenced. Pipeline reliability at this stage is moderate — approximately 70% to 80% of announced projects proceed to construction within their stated timeline.

2. Under Construction: Construction activity has been documented through developer updates, site photography, or construction permit data. Projects at this stage have a high completion probability (90%+) though delivery timelines may shift.

3. Delivered: Units have been handed over to buyers or tenants and are counted as additions to the active housing stock. Delivery data is the most reliable category because it represents completed, observable market additions.

Our pipeline tracking draws on developer disclosures, construction permit data, project site monitoring, and media coverage. The Cavendish Maxwell estimate of 57,000 new units entering the Riyadh market in 2026 to 2027 represents the most widely cited pipeline figure and is consistent with our independent tracking.

Analytical Framework

Market Trend Analysis

Our market trend analysis employs a combination of quantitative metrics and qualitative assessment:

• Quantitative Metrics: Price indices, transaction volumes, rental rates, yield spreads, mortgage origination volumes, and supply pipeline data form the quantitative backbone of our analysis.
• Qualitative Assessment: Policy analysis, developer strategy assessment, demographic trends, and macroeconomic context provide the interpretive framework that connects data points into coherent market narratives.
• Comparative Benchmarking: We benchmark Riyadh’s market metrics against historical trends (the sharp growth slowdown from 17.7% in 2022 to 2.9% in 2025 is a recurring analytical reference point), against other Saudi cities (Riyadh holds 41.5% market share of national residential transactions), and against regional comparators (Dubai, Abu Dhabi, Doha).

Forward-Looking Projections

When we publish projections or forecasts, we employ the following conventions:

• Scenario-Based Approach: Rather than single-point forecasts, we present base case, upside, and downside scenarios defined by key assumptions about interest rates, supply delivery, regulatory changes, and demand drivers.
• Time Horizons: Short-term projections (6 to 12 months) draw primarily on existing data trends and confirmed pipeline. Medium-term projections (1 to 3 years) incorporate policy implementation assumptions and pipeline delivery schedules. Long-term projections (3 to 5 years) are treated as directional rather than precise and are clearly labeled as speculative.
• Assumption Disclosure: All projections include explicit disclosure of key assumptions, allowing readers to assess whether those assumptions align with their own market views.

Editorial Standards

Sourcing Requirements

Every factual claim published on Riyadh Residential must be traceable to a documented source. Our sourcing hierarchy requires:

• Statistical claims must cite specific data sources (government agency, developer disclosure, research organization)
• Regulatory claims must reference specific laws, regulations, royal decrees, or official announcements
• Market claims (pricing, yields, growth rates) must be calculable from cited data
• Expert opinions and projections must be attributed to named sources or organizations

Correction Policy

Data accuracy is our highest editorial priority. When errors are identified:

• Minor errors (typographical, formatting) are corrected immediately upon identification
• Substantive errors (incorrect data figures, misleading analysis) are corrected within 24 hours with a correction notice appended to the affected content
• Material errors (fundamental analytical errors or systematic data issues) prompt a full review and potential republication of affected content with transparent disclosure of the original error and correction

Independence and Conflicts

Riyadh Residential maintains editorial independence from advertising and partnership relationships. Advertisers and partners have no influence over our data, analysis, or editorial positions. We do not accept payment for favorable coverage, and we do not adjust our analysis to accommodate commercial interests. Where potential conflicts of interest exist (such as coverage of a developer that is also an advertiser), we disclose the relationship and ensure analytical objectivity is maintained.

Limitations and Caveats

We acknowledge several inherent limitations in our methodology:

Data Lag. Official transaction data operates with a two-to-six-week lag, meaning our “current” pricing data may not capture the most recent market movements. We mitigate this through supplementary real-time indicators (listing data, developer pricing updates, broker intelligence).

Sample Size Constraints. For smaller neighborhoods or less liquid property segments, transaction volumes may be insufficient to calculate statistically robust averages. We flag low-confidence estimates and avoid publishing figures based on fewer than 10 transactions per quarter.

Off-Market Transactions. Private sales, family transfers, and corporate transactions that do not pass through standard channels may not be captured in registered transaction data, potentially biasing our calculations.

New Build Premium. New construction commands an estimated 12% premium over existing stock, and our neighborhood averages may be influenced by the proportion of new versus existing transactions in any given period.

Rent Freeze Distortions. The five-year rent freeze implemented in September 2025 creates analytical challenges because frozen rents may diverge from market-clearing rates over time, making yield calculations progressively less reflective of true market dynamics.

We are committed to continuous improvement of our methodology and welcome feedback from readers who identify opportunities to enhance our data collection, analytical approach, or presentation. Contact our editorial team at info@riyadhresidential.com with methodology-related feedback.

Published by Donovan Vanderbilt. Last updated March 23, 2026.