Apartments Inventory & Pricing

Gain an unparalleled, 360-degree view into the US residential rental market with our comprehensive Apartments Inventory & Pricing dataset. Powered by weekly snapshots of crucial market data, this actionable intelligence moves beyond high-level trends to reveal granular, on-the-ground market dynamics like never before.

Access deep insights into:

**Granular Pricing & Inventory**

- **Precise Unit Pricing:** Observe crucial pricing trends with average minimum and maximum rental costs for all unit types. This data is essential for dynamic pricing, benchmarking, and revenue optimization.
- **Total Market Supply:** Track the total number of units and buildings in a given area, and most importantly, identify the total number of available units. This allows you to gauge true supply-and-demand and spot potential opportunities.
- **Competitive Landscape:** Understand market competitiveness by monitoring the number of buildings offering rent specials, a key indicator of landlord incentives and local market shifts.

**Detailed Property & Unit Metrics**

- **Unit Sizing:** Analyze the average square footage of units by type to better understand the unit mix and value proposition across different markets.
- **Building Characteristics:** Gain a deeper context of the market with insights into the total number of buildings, average building height in stories, and the median age of properties. This helps you factor in building age and density when evaluating market viability.

**Multi-Layered Geospatial Intelligence**

- **Exact Granularity:** Move beyond broad regional data. Analyze patterns with precise granularity at the state and county levels, perfect for creating market maps and performing location-based analysis to support strategic expansion or investment decisions.

Seamlessly integrated and ready-to-query directly in Snowflake, our dataset provides the essential foundation for strategic real estate planning, dynamic pricing, competitive intelligence, and precise market forecasting. Whether you're a developer, investor, or analyst, this data is your key to unlocking the full potential of the residential rental market.

原始信息汇总

Apartments Inventory & Pricing 数据集概述

数据集基本信息

• 提供商: Babel Street
• 试用信息: 免费试用，试用期为1天
• 数据刷新频率: 每周
• 时间覆盖范围: 最近7天，按天更新
• 地理覆盖范围: 美国所有州及县

数据集描述

该数据集提供美国住宅租赁市场的全面视图，包括以下关键信息：

• 租金定价与库存: 各类型单元的平均最低和最高租金成本、总单元数和建筑数、可用单元数。
• 物业与单元指标: 单元平均面积、建筑总数、平均建筑高度（层数）、物业中位年龄。
• 地理空间情报: 按州和县级别的精确数据，支持市场地图和基于位置的分析。

商业应用场景

• 房地产投资: 识别低估物业和新兴市场。
• 房屋建造与物业管理: 优化租金定价策略，跟踪租金特价和可用单元。
• 金融分析: 进行市场趋势分析，构建房地产市场表现预测模型。
• 城市规划与经济: 研究住房 affordability、人口密度和市场动态。

数据字典

APARTMENT_BUILDING_SUMMARY_COUNT_TRIAL 表

• 字段:
  • COLLECTION_DATE (Varchar): 数据收集日期
  • STATE (Varchar): 州名
  • COUNTY (Number): 县名
  • BUILDING_COUNT (Number): 建筑数量
  • AVG_BUILDING_STORIES (Number): 平均建筑层数
  • TOTAL_UNITS_IN_BUILDINGS (Number): 建筑中总单元数
  • TOTAL_UNITS_AVAILABLE_IN_BUILDINGS (Number): 可用单元数
  • MEDIAN_AGE_OF_BUILDINGS (Number): 建筑中位年龄
  • AVG_MIN_UNIT_PRICE_* (Number): 各类型单元的平均最低租金
  • AVG_MAX_UNIT_PRICE_* (Number): 各类型单元的平均最高租金
  • BUILDINGS_WITH_RENT_SPECIALS (Number): 提供租金特价的建筑数量
  • AVG_MIN_UNIT_SQFT_* (Number): 各类型单元的最小平均面积
  • AVG_MAX_UNIT_SQFT_* (Number): 各类型单元的最大平均面积

使用示例

1. 查询特定州和县的一居室公寓平均租金: sql SELECT COUNTY, AVG_MIN_UNIT_PRICE_ONE_BEDROOM, AVG_MAX_UNIT_PRICE_ONE_BEDROOM FROM APARTMENTS.APARTMENT_BUILDING_SUMMARY_COUNT_TRIAL WHERE STATE = MA AND COUNTY = SUFFOLK;

2. 识别可用单元数最多的县: sql SELECT STATE, COUNTY, TOTAL_UNITS_AVAILABLE_IN_BUILDINGS FROM APARTMENTS.APARTMENT_BUILDING_SUMMARY_COUNT_TRIAL ORDER BY TOTAL_UNITS_AVAILABLE_IN_BUILDINGS DESC LIMIT 10;

3. 分析建筑年龄与租金价格的关系: sql SELECT MEDIAN_AGE_OF_BUILDINGS, AVG(AVG_MIN_UNIT_PRICE_STUDIO) AS AVERAGE_STUDIO_PRICE FROM APARTMENTS.APARTMENT_BUILDING_SUMMARY_COUNT_TRIAL WHERE COLLECTION_DATE = CURRENT_DATE() GROUP BY MEDIAN_AGE_OF_BUILDINGS ORDER BY MEDIAN_AGE_OF_BUILDINGS;

其他信息

• 云区域可用性: 支持AWS多个区域
• 法律条款: 标准条款
• 联系方式:
  • 销售: [e-mail]
  • 支持: [e-mail]