1280 Nw 124 Ave, Plantation, FL 33323

Shared spaces in Plantation, Florida play a role in the daily environment at The home at Nw 124 Ave. This single-family neighborhood features a collection of 5 amenities designed for different functions, ranging from utility to recreation. Among these, Grill Area represents the type of facilities available for use. This collection of features helps define the character of the development, offering specific areas where residents can engage with their surroundings.

Local destinations in Plantation, Florida often reflect the area's specific character, particularly through its Education offerings. The dataset identifies various such locations, including Nova Southeastern University, which is found roughly 6.0 mi from the community. Whether for daily needs or occasional visits, these spots contribute to the wider regional setting. Alongside other categories, these destinations help frame the lifestyle experience available throughout the surrounding area.

For residents of The home at Nw 124 Ave, mobility is defined by the surrounding infrastructure. A Walk Score of 57 (Somewhat Walkable) helps set expectations for pedestrian accessibility to local goods and services. Cycling conditions are reflected in a Bike Score of 44 (Somewhat Bikeable), which is useful for those looking to integrate biking into their routine. Public transit options are measured by a Transit Score of 32, accounting for 3 bus and 0 rail lines. Reviewing these indicators helps clarify movement patterns in Plantation, Florida.

For those looking to understand the broader landscape around The home at Nw 124 Ave, regional data offers valuable context. Because every region has a unique physical makeup, relying on standardized metrics helps clarify how different factors interact within the environment. The dataset tracks various elements, assigning values to different environmental categories to create a consistent picture. One such indicator is Hurricane, which appears in the records with a score of 99.91 and a rating of Very High. This information contributes to the overall regional hazard risk context, providing a data-driven perspective that moves beyond simple prediction to offer a comprehensive view of the area.