📈 KSA Land Data

Al-Dilam الدلم: what property sold for

Property prices in Al-Dilam (Riyadh region). The median residential sale in Al-Dilam was SAR 295 per square metre between July 2025 and June 2026, based on 255 registered sales. Half of those sales fell between SAR 132 and SAR 514 per square metre. The median price paid was SAR 195,000. The median fell 1.7% on the year, and it was SAR 193 in 2020.

These are prices from sale deeds registered with the Ministry of Justice. They are what buyers paid, not what sellers are asking. KSA Land Data does not list properties for sale and cannot put you in touch with owners or agents. If you are looking at a plot or a villa in Al-Dilam, the figures below tell you whether the asking price is near what similar property has sold for.

District statistics on this page

Coverage and interpretation

The published series for Al-Dilam contains 3,480 registered deeds across 26 observed quarters, from 2020 Q1 to 2026 Q2. Its latest observed quarter contains 83 deeds. The national dataset ends at 2026 Q2. A quarter absent from this table means no observation is available in this build; it does not establish zero market activity.

Field definitions and source notes · Download the data

Where prices sit by district (residential, same 12 months: Jul 2025 to Jun 2026)

DistrictEnglish spellingSalesMedian SAR/m²Middle halfvs last year
الخالدية28349269 to 479not shown (under 50 sales)
النهضة22899523 to 1,535not shown (under 50 sales)
الفيصلية20220158 to 261not shown (under 50 sales)
حي الصحنة20300192 to 473not shown (under 50 sales)
الناصرية13267213 to 391not shown (under 50 sales)
الإزدهار10532145 to 1,348not shown (under 50 sales)

Districts with fewer than 20 sales swing a lot from quarter to quarter. Treat them as a guide, not a quote.

Yearly median price, residential

The yearly median rose from SAR 193/m² in 2020 to SAR 310 in 2025 (up 61%), and SAR 240 so far in 2026.

YearMedian SAR/m²
2020193
2021200
2022233
2023200
2024259
2025310
2026 so far240

Yearly medians of registered residential sales. The percentage change above is calculated by KSA Land Data from these medians.

Quarterly history

QuarterDealsValue (SAR)Median res. priceMedian res. SAR/m²
2026 Q28354M200,000240
2026 Q16334M150,000248
2025 Q496136M200,000331
2025 Q396220M160,000269
2025 Q212038M165,000345
2025 Q118161M177,500301
2024 Q4151195M160,000300
2024 Q313939M177,774293
2024 Q210243M150,000236
2024 Q120046M125,000206
2023 Q413043M100,000212
2023 Q38929M100,000200
2023 Q27571M100,000182
2023 Q18822M135,501166
2022 Q412849M120,000220
2022 Q39326M140,000270
2022 Q29732M140,000229
2022 Q111441M150,000245
2021 Q412436M150,000212
2021 Q314257M135,000222
2021 Q216451M150,000211
2021 Q123955M100,000180
2020 Q419231M100,000185
2020 Q317825M100,000175
2020 Q218842M100,000168
2020 Q120841M120,000240

The deals behind this table. 3,480 registered sales in Al-Dilam since 2020, each with date, district, price, area and deal reference. Included in the full dataset ($49 once, 26 quarters, all 175 cities) and in API Starter ($19 a month). See the dataset · Free sample: every city, 2026 Q2

For analysts, developers and researchers. The page above is the summary. The full record behind it has the Al-Dilam sales the Ministry has published since 2020, with date, district, classification, area, price and price per square metre. Sales registered on the Real Estate Registry (السجل العقاري) may not appear in the Ministry's files. Download the free sample (all of 2026 Q2, no signup), get a free API key, or buy the full 2020 to 2026 Q2 dataset for $49 one time.

Download the free sample   Get a free API key   Full dataset, $49

Districts, 2026 Q2 (residential)

DistrictDealsMedian priceMedian SAR/m²
أخرى18250,00075
حي الديرة690,000181
الناصرية5170,000295
الفيصلية5120,000240

See the sales behind these medians: how to pull a comparable set. Back to city overview

How these counts and medians are made: coverage and method.

Al-Dilam on the price map. Explore available mapped observations.

Other cities in Riyadh

Get this data via the API   Download datasets