Indianapolis, IN

AARP Community Challenge Grant Year: 2021

Project Category: Community Gardens

Description: Indianapolis' Far Eastside neighborhood needed accessible, public green space. Keep Indianapolis Beautiful partnered with the Community Alliance of the Far Eastside to transform a vacant lot into a community orchard with native shade trees, benches, accessible pathways, nature play space and public art. The orchard and green space, which are adjacent to a community center, also feature raised garden beds, fruit trees, native shrubs and more than 700 native perennial plants. Educational signage informs visitors about the benefits of playing in nature and the role of native plants.

Lawrence, KS

AARP Community Challenge Grant Year: 2023

Project Category: Community Gardens

Description: Residents in an affordable housing community faced food insecurity and limited access to gardening. Home Works USA improved its garden by adding raised beds for accessibility, installing fencing to deter deer and hosting a free indoor farmers market for older adults and neighbors. Volunteers of all ages worked together, sharing skills and building relationships. The upgrades created a safer, more inviting space for intergenerational gardening and fresh food distribution. One volunteer commented that he and others were excited to finally get back to gardening again.

Project description was created using generative AI and then reviewed for accuracy.

North Las Vegas, NV

AARP Community Challenge Grant Year: 2023

Project Category: Community Gardens

Description: A neglected community garden limited access for older adults and residents with disabilities. The project repaired ADA garden beds, fixed water lines and improved stone pavement for safety. Volunteers joined in planting, pruning and harvesting, while others learned maintenance skills. The revitalized space became a hub for healthy activity and social connection, with one participant noting it now feels welcoming for everyone, fostering unity and shared purpose.

Project description was created using generative AI and then reviewed for accuracy.