Research Documentation

Market indicator datasets include price indices, transaction volumes, inventory levels, absorption rates, and yield metrics. Each indicator is documented with precise definitions explaining what is measured and how. Price indices specify the methodology used for construction, whether repeat-sales, hedonic, or median-based. Transaction volume data distinguishes between different property types and transaction categories. Temporal frequency is specified along with any seasonal adjustment procedures. Geographic granularity varies by market and indicator, ranging from national to neighborhood level. All monetary values are documented with their reference currency and base period for inflation adjustment.

Property-level data captures physical attributes, location characteristics, and transaction details. Physical attributes include size measurements with units clearly specified, age or construction date, quality ratings, and amenity presence. Location data provides geographic coordinates, administrative boundaries, and distance measures to key features. Transaction information includes sale price, date, buyer and seller characteristics where available, and financing terms. Property type classifications follow standardized taxonomies to enable cross-market comparison. Missing data is coded consistently and documentation explains patterns of missingness across markets and time periods.

Contextual variables from official statistical sources are integrated with property market data. Population figures specify whether they represent total, working-age, or household counts. Age distribution data follows standard cohort definitions. Income and wealth measures clarify whether they represent median, mean, or distribution percentiles, and whether they are pre-tax or post-tax. Employment statistics distinguish between jobs located in an area versus residents employed. All demographic and economic data include metadata specifying the source agency, collection methodology, and any known limitations or discontinuities in the time series.

Information about land use regulations, zoning designations, development approvals, and infrastructure plans is systematically coded and documented. Zoning categories are mapped to standardized classifications while preserving local terminology. Development pipeline data tracks projects from initial proposal through completion, with status updates and timeline revisions documented. Infrastructure investment schedules specify project types, locations, budgets, and implementation phases. Regulatory changes are logged with effective dates and descriptions of their provisions. This documentation enables analysis of how planning policies and infrastructure decisions affect property markets over time.