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May 2024 OEWS Estimates — Data Dictionary / Description
Dataset: AirBNB Hugging Face
Publisher: Airbnb
Website: https://insideairbnb.com/get-the-data/
Not all fields are available for every type of estimate.
Overview
This dataset provides employment and wage estimates for occupations (SOC) by geography (U.S., state, territory, metropolitan and nonmetropolitan areas) and, for some releases, by industry (NAICS) and ownership. Estimates include employment counts, measures of sampling error (PRSE), and wage levels (mean and percentiles) on hourly and/or annual bases.
Field Definitions
| Field | Description |
|---|---|
| id | Unique Airbnb listing ID |
| name | Listing title |
| host_id | Unique host ID |
| host_name | Host’s first name |
| neighbourhood_group | Neighbourhood group (may be empty for Columbus) |
| neighbourhood | Neighbourhood name |
| latitude | Listing coordinates (latitude) |
| longitude | Listing coordinates (longitude) |
| room_type | Entire home/apt, Private room, Shared room, or Hotel room |
| price | Nightly price in USD (integer) |
| minimum_nights | Minimum nights required per booking |
| number_of_reviews | Total review count |
| last_review | Date of most recent review (YYYY-MM-DD; blank if no reviews) |
| reviews_per_month | Average reviews per month (blank if no reviews) |
| calculated_host_listings_count | Number of listings the host has in Columbus |
| availability_365 | Days available in the next year (0 = fully booked or delisted) |
| number_of_reviews_ltm | Reviews in the last 12 months |
| license | License/registration number (if applicable) |