Sac-Sauk Multi-Use Trail Project
Sector: Rail • Location: Sac City, Iowa, United States
Source: Carroll Broadcasting Company
The Sac-Sauk Multi-Use Connector Campaign is a proposed trail project extending from the Iowa Great Lakes through five counties including Sac and Carroll County to Swan Lake State Park. The trail will connect the Sauk Rail Trail to the Iowa Great Lakes Spine Trail, running from Lake View into Spencer. The project aims to boost economic development, enhance outdoor recreation opportunities, and con
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | proposed |
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 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Sac-Sauk Multi-Use Connector Campaign is a proposed trail project extending from the Iowa Great Lakes through five counties including Sac and Carroll County to Swan Lake State Park. The trail will connect the Sauk Rail Trail to the Iowa Great Lakes Spine Trail, running from Lake View into Spencer. The project aims to boost economic development, enhance outdoor recreation opportunities, and connect communities along the trail in Sac County. |
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 |