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covaga/philippines-real-estate-market-prices

Philippines Real Estate Market Prices Monthly market aggregates for residential real estate across the Philippines — median and percentile price per square meter (₱/m²), inventory levels, days-on-market, listing quality, and month-over-month / year-over-year price dynamics. Generated: 2026-09-01 Derived from a continuous listings-monitoring pipeline. This is not a listing dump — no individual listings, URLs, titles, photos, portal identifiers, or agent/seller PII are included.… See the full description on the dataset page: https://huggingface.co/datasets/covaga/philippines-real-estate-market-prices.

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Philippines Real Estate Market Prices

Monthly market aggregates for residential real estate across the Philippines — median and percentile price per square meter (₱/m²), inventory levels, days-on-market, listing quality, and month-over-month / year-over-year price dynamics.

Generated: 2026-09-01

Derived from a continuous listings-monitoring pipeline. This is not a listing dump — no individual listings, URLs, titles, photos, portal identifiers, or agent/seller PII are included. Every table here is a statistical aggregate over multiple listings.

Why this exists

Public, structured real estate pricing data for the Philippines is scarce compared to markets like the US or EU. This dataset tracks median price-per-square-meter, inventory turnover, and price trends at the city and property-type level, updated monthly, to support research on Philippine housing affordability, regional price divergence, and market cycles.

Files and schema

All files are Parquet, one row per aggregation grain (typically city × property type × listing type × month).

`city_metrics_monthly.parquet`

Core monthly snapshot per city/property type: inventory counts and price percentiles.

Column	Type	Description
`city`, `province`, `region`	string	Location hierarchy
`property_type`, `listing_type`	string	e.g. condo/house, sale/rent
`year_month`	date	Aggregation month
`active_count`, `new_count`, `delisted_count`	int	Inventory flow
`median_price`, `median_psm`, `p25_psm`, `p75_psm`	double	Price and price-per-m² percentiles
`sample_size`	int	Listings behind this row
`is_closed`	bool	Whether the month is fully closed (vs. still accumulating)

`psm_index_monthly.parquet`

A price-per-m² index (base = 100) per city/property type, for tracking relative price movement over time without needing absolute price levels.

Column	Type	Description
`city`, `province`, `region`, `property_type`, `listing_type`	string	Segment keys
`year_month`, `base_year_month`	date	Current month and the index's base month
`median_psm`	double	Median ₱/m² for the month
`index_100`	double	Indexed value (base month = 100)
`sample_size`	int	Listings behind this row
`is_meaningful`	bool	False when sample size is too thin to trust the index value

`change_metrics_monthly.parquet`

Month-over-month and year-over-year price change, precomputed.

Column	Type	Description
`city`, `property_type`, `listing_type`, `province`, `region`	string	Segment keys
`year_month`, `prev_month_ym`, `prev_year_ym`	date/string	Current and reference periods
`median_psm`, `median_price`	double	Current-month levels
`psm_mom_pct`, `price_mom_pct`	double	Month-over-month % change
`psm_yoy_pct`, `price_yoy_pct`	string	Year-over-year % change (string — carries a null/"n/a" sentinel)
`mom_available`, `yoy_available`	bool	Whether enough history exists to compute the comparison
`sample_size`	int	Listings behind this row

Note: cast *_yoy_pct to float after filtering on the *_available flags.

`market_dynamics_monthly.parquet`

Inventory turnover and price-drop behavior — a read on how "hot" or "cold" a segment is.

Column	Type	Description
`city`, `property_type`, `listing_type`, `province`, `region`	string	Segment keys
`year_month`	date	Aggregation month
`active_count`, `new_count`, `delisted_count`	int	Inventory flow
`inventory_turnover`	double	Delisted / active ratio proxy
`absorption_proxy`	int	How much new inventory is being absorbed
`price_drop_rate`	double	Share of listings with a price reduction that month
`price_drop_available`	bool	Whether price-history depth supports the drop-rate figure
`sample_size`	int	Listings behind this row

`city_quality_monthly.parquet`

Data-quality telemetry for the underlying listings feeding a city's aggregates that month.

Column	Type	Description
`city`, `province`, `region`	string	Location hierarchy
`year_month`	date	Aggregation month
`avg_quality_score`	double	Composite listing-quality score
`suspicious_pct`	double	Share of listings flagged as suspicious
`outlier_psm_rate`	double	Share of listings with an outlier ₱/m²
`missing_fields_rate`, `dup_rate`	double	Data completeness / duplication rates
`market_integrity_index`	double	Rolled-up trust score for the month's data
`sample_size`	int	Listings behind this row

`analytics_psm.parquet` / `analytics_psm_bucket.parquet` / `analytics_dom.parquet`

Finer-grained cross-sections (not month-indexed): price-per-m² and days-on-market percentiles broken down further by barangay and property_subtype, plus a bucketed view (analytics_psm_bucket) grouping listings into price bands per segment. analytics_psm also carries lat/lng for the segment's approximate centroid.

Row counts (this release)

—city_metrics_monthly.parquet — 915 rows
—city_quality_monthly.parquet — 620 rows
—psm_index_monthly.parquet — 915 rows
—change_metrics_monthly.parquet — 915 rows
—market_dynamics_monthly.parquet — 915 rows
—analytics_dom.parquet — 1,494 rows
—analytics_psm.parquet — 583 rows
—analytics_psm_bucket.parquet — 755 rows

What this is not

—No individual listings, URLs, titles, descriptions, or photos
—No source-portal identifiers
—No agent, seller, or buyer personal data

Source portals remain the copyright holders of the underlying listing content. These files are statistical derivatives, released for research and analysis.

Update cadence

Refreshed monthly. The aggregation grain is already monthly, so more frequent releases wouldn't add new completed months — only revise the current in-progress one. is_closed (in city_metrics_monthly) tells you whether a given month's row is final or still accumulating listings.

License / use

Research and analysis use. Do not attempt to reconstruct or republish individual source listings from these aggregates. Provided as-is, with no warranty of completeness or accuracy — treat sample_size and the quality-telemetry table as your confidence signal per row.

Citation

If this is useful in your work, a link back to this dataset page is appreciated.