California Real Estate Detailed Pricing Analysis SAMPLE

**Sample:** 100 rows
**Total Rows:** ~8,575

### **Overview**
This dataset provides a granular view of California's real estate market as of 2025, offering in-depth insight into pricing, tax records, school ratings, and property characteristics. Compiled through extensive research and public record aggregation, it supports advanced analytics across property valuation, regional trends, and investment forecasting.

Featuring 53 structured attributes per property, this dataset enables in-depth market modeling, predictive analytics, and spatial correlation studies for urban planners, investors, and policy researchers. With anonymized identifiers and consistent formatting, it is optimized for real estate data science and economic modeling at scale.

### **Provenance**
The dataset is built from public records and aggregated sources using ethical research methods. All data is GDPR and CCPA compliant, with personal identifiers anonymized. A sample version is distributed under the **CC BY 4.0** license, while the full dataset is available via **AIDC.app** with a full AI training license.

**Acknowledgements:**
Compiled by **Maths with Kanchana LLC** under the Creative Commons Attribution 4.0 International License.

### **Use Cases**
This dataset is valuable for a variety of analytical and research applications, including:

- **Market Forecasting:** Train predictive models to estimate California housing price trends and investment opportunities.
- **Insurance Risk Modeling:** Incorporate property condition and neighborhood factors into risk scoring systems.
- **Urban Planning Analytics:** Evaluate permit history and neighborhood data for zoning and infrastructure analysis.
- **Policy and Economic Research:** Assess taxation trends and affordability for public policy studies.
- **Business Intelligence:** Enable property-level insights for agencies, developers, and real estate investors.

### **Column Dictionary**
- **listPrice** | integer | Current listing price in USD.
- **beds** | float | Number of bedrooms.
- **baths** | float | Number of bathrooms.
- **sqft** | float | Total property square footage.
- **lot_sqft** | float | Lot size in square feet.
- **year_built** | float | Year the property was constructed.
- **garage** | float | Garage availability or count.
- **zip** | integer | Property ZIP code location.
- **scho_nearest_school_distance** | float | Distance to nearest school (miles).
- **scho_avg_school_rating** | float | Average local school rating.
- **hist_last_history_event_date** | date | Most recent historical event date.
- **hist_last_sale_price** | float | Last recorded sale price.
- **perm_total_permit_count** | float | Total building permits recorded.
- **perm_last_permit_date** | date | Date of last recorded permit.
- **tax_latest_tax_year** | float | Most recent tax year recorded.
- **tax_latest_tax_amount** | float | Latest annual tax amount (USD).
- **neig_primary_neigh_name** | string | Anonymized neighborhood name.
- **agent_name** | string | Anonymized agent identifier.
- **office_name** | string | Anonymized office identifier.