logo

Thriving Communities Technical Assistance

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Closed

HUD’s Thriving Communities Technical Assistance program will provide funding to technical assistance providers to help local governments ensure housing needs are considered as part of their larger infrastructure investment plans, while also supporting equitable development and local economic development ecosystems in Disadvantaged Communities (as defined in this NOFO). Through this NOFO, HUD is an

Project Information FAQ

Project Information

5 Q
The project “Thriving Communities Technical Assistance” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

closed

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

HUD’s Thriving Communities Technical Assistance program will provide funding to technical assistance providers to help local governments ensure housing needs are considered as part of their larger infrastructure investment plans, while also supporting equitable development and local economic development ecosystems in Disadvantaged Communities (as defined in this NOFO). Through this NOFO, HUD is announcing the availability of $5 million in FY 2022 funding. HUD anticipates no fewer than two and no more than five awards for grantees to provide technical assistance (TA) to units of general local government (UGLGs) (as defined in this NOFO), which may also support the UGLGs’ work with non-profit and cross-sector partners serving Disadvantaged Communities. Using a wide range of eligible activities, HUD expects TA awardees under this NOFO to focus on assisting UGLGs in the following four areas: a) Identifying and using vacant, abandoned, or underutilized land located on or near transportation projects that is suitable for housing development (including land owned by federal, state, and local governmental entities as well as the private sector) to create  location-efficient housing. b) Preserving affordable housing and protecting residents and businesses from displacement as new infrastructure is deployed. c) Identifying and implementing regulatory and procedural reforms to reduce unnecessary barriers to location-efficient housing that impede housing production and increase development costs. d) Improving coordination both among public entities (for example, local housing, transportation, planning, and community development departments) and between public entities and state recipients of infrastructure funding; transit authorities and other quasi-public entities; the private sector; and locally-based organizations in ways that support a holistic and regional approach to housing and transportation.   The TA provided by awardees through this NOFO will respond to the local market conditions and context of the UGLG. The length and offerings of the TA engagement will be designed to ensure a measurable impact on the UGLG’s goals. To that end, HUD is seeking awardees that will take a localized, holistic approach to technical assistance, working across sectors and building local capacity.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data