St. Louis, MO--IL Urbanized Area Congestion Report
In the line graphs below, FHWA uses Data Collection Year instead of Data Reporting Year to represent snapshot condition/performance at the time the data was collected. More information
The St. Louis, MO--IL Urbanized Area covers parts of Illinois and Missouri. Targets are agreed upon by several transportation agencies and apply to the entire area.
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
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Trend through 2025
Desired trend: ↓
St. Louis, MO--IL Annual Hours of Excessive Delay Per Capita
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Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita 2021 2022 2023 2024 2025 Condition/Performance 6.6 -- -- -- -- Targets -- -- 8.4 -- 8.3
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(Illinois) A hybrid target setting approach was used. This approach combined historical data from NPMRDS INRIX to establish a pre-pandemic PHED baseline between 9.2 and 9.6 hours and also analyzed monthly PHED data in 2021.
(Missouri) A hybrid target setting approach was used. This approach combined historical data from NPMRDS to establish a pre-pandemic PHED baseline between 9.2 and 9.6 hours with analysis of 2021 monthly PHED data
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Data Sources:
2022 Biennial Performance Report
2022 HPMS Data Submittal
Non-Single Occupancy Vehicle (Non-SOV) Travel
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Trend through 2025
Desired trend: ↑
St. Louis, MO--IL % Non-SOV Travel
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Non-Single Occupancy Vehicle (Non-SOV) Travel 2021 2022 2023 2024 2025 Condition/Performance 19.5 -- -- -- -- Targets -- -- 18.0 -- 18.2
Non-Single Occupancy Vehicle (Non-SOV) Travel
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(Illinois) From 2012 to 2019, Non-SOV mode share has remained relatively constant, with slight increases and decreases which may be explained by the sample data utilized by the American Community Survey. In 2020, Non-SOV travel increased to 19.5%. This increase can be attributed to the COVID-19 Pandemic and the resulting decrease in overall travel due to increased telecommuting. In 2021, individuals returned to commuting, however, there is a higher rate of telecommuting compared to pre-pandemic years. This is likely a fundamental change in commute patterns which leads to a higher two-year and four-year targets.
(Missouri) From 2012 to 2019, Non-SOV mode share remained relatively constant, with slight increases and decreases, perhaps explained by the sample data utilized by the American Community Survey. In 2020, Non-SOV travel increased to 19.5%. This increase is due to the COVID-19 Pandemic and the resulting decrease in overall travel due to increased telecommuting. In 2021, individuals returned to commuting, however, there is a higher rate of telecommuting compared to pre-pandemic years. This is likely a fundamental change in commute patterns which leads to higher two-year and four-year targets.
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Data Sources:
2022 Biennial Performance Report
2022 HPMS Data Submittal