PCAP Directory Summary Tables
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The summary tables on this page present data patterns and trends in the PCAP Directory’s searchable tables (e.g., most common measure types, sectors with the largest number of measures, most widely used quantification tools or approaches, most common LIDAC engagement approaches, etc.). These summary tables are grouped into sections corresponding to the searchable tables from which their data is drawn. Links to both the corresponding searchable tables and underlying data sets are provided at the top of each section.
GHG Inventories Summary Tables
The following summary tables are based on PCAP data collected from 211 state, Metropolitan Statistical Area (MSA), Tribal, and territorial (T/T) PCAPs submitted under EPA’s Climate Pollution Reduction Grants Program and presented in the GHG Inventories Searchable Table. Click here for a complete list of tool names that appear in the tables. Explore the GHG Inventories Searchable table here. Download the underlying data here.
GHG Inventory Coverage by Sector and Jurisdictional Level
| Sector | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Electricity | 46 | 63 | 80 | 189 | 98% | 80% | 95% | 90% |
| Commercial and Residential Buildings | 46 | 72 | 79 | 197 | 98% | 91% | 94% | 93% |
| Industry | 45 | 61 | 16 | 122 | 96% | 77% | 19% | 58% |
| Transportation | 46 | 79 | 71 | 196 | 98% | 100% | 85% | 93% |
| Waste and materials management | 39 | 77 | 61 | 177 | 83% | 97% | 73% | 84% |
| Agriculture | 43 | 49 | 34 | 126 | 91% | 62% | 40% | 60% |
| Natural and Working Lands | 38 | 37 | 40 | 115 | 81% | 47% | 48% | 55% |
| All sectors | 31 | 21 | 5 | 57 | 66% | 27% | 6% | 27% |
| All sectors (either Agriculture or Natural and Working Lands) | 34 | 37 | 6 | 77 | 72% | 47% | 7% | 36% |
| Total PCAPs Reviewed | 47 | 79 | 85 | 211 | 22% | 37% | 40% | 100% |
GHG Inventory Coverage by Gas and Jurisdictional Level
| Sector | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| CO2 | 45 | 67 | 71 | 183 | 96% | 85% | 85% | 87% |
| CH4 | 45 | 64 | 67 | 176 | 96% | 81% | 80% | 83% |
| N2O | 45 | 63 | 69 | 177 | 96% | 80% | 82% | 84% |
| SF6 | 43 | 20 | 7 | 70 | 91% | 25% | 8% | 33% |
| NF3 | 36 | 14 | 3 | 53 | 77% | 18% | 4% | 25% |
| PFCs | 42 | 16 | 7 | 65 | 89% | 20% | 8% | 31% |
| HFCs | 44 | 20 | 8 | 72 | 94% | 25% | 10% | 34% |
| All gases (excluding NF3) | 42 | 15 | 6 | 63 | 89% | 19% | 7% | 30% |
| Total PCAPs Reviewed | 47 | 79 | 85 | 211 | 22% | 37% | 40% | 100% |
GHG Inventory Quantification Tool Used by States
| Tool Name | Count | Percent |
|---|---|---|
| EPA SIT | 33 | 70% |
| EPA GHG Inventory | 19 | 40% |
| EPA MOVES | 5 | 11% |
| EPA FLIGHT | 3 | 6% |
| Custom-built tool | 3 | 6% |
| EPA GHGRP | 3 | 6% |
| NY Open Data Portal | 1 | 2% |
| ICLEI ClearPath | 1 | 2% |
| EPA PT | 1 | 2% |
| EPA NEI | 1 | 2% |
Click here for a complete list of tool names identified in EPA’s review of PCAPs.
GHG Inventory Quantification Tool Used by MSAs
| Tool Name | Count | Percent |
|---|---|---|
| EPA FLIGHT | 24 | 30% |
| EPA LGGIT | 21 | 27% |
| ICLEI ClearPath | 19 | 24% |
| EPA MOVES | 14 | 18% |
| Custom-built tool | 14 | 18% |
| SLOPE | 10 | 13% |
| EPA SIT | 9 | 11% |
| Emission factor analysis | 6 | 8% |
| EPA NEI | 6 | 8% |
| CIRIS | 3 | 4% |
| GPC | 3 | 4% |
| CARB EMFAC | 3 | 4% |
| FAA AEDT | 3 | 4% |
| ICLEI LEARN | 3 | 4% |
Click here for a complete list of tool names identified in EPA’s review of PCAPs.
GHG Inventory Quantification Tool Used by Tribes and Territories
| Tool Name | Count | Percent |
|---|---|---|
| EPA TGIT | 70 | 82% |
| Emission factor analysis | 17 | 20% |
| EPA WARM | 12 | 14% |
| Custom-built tool | 8 | 9% |
| ICLEI ClearPath | 7 | 8% |
| Alaska EIMT | 6 | 7% |
| EPA LGGIT | 5 | 6% |
| EPA GHG Equivalencies Calculator | 5 | 6% |
| EPA FLIGHT | 3 | 4% |
| EPA SIT | 2 | 2% |
| EPA Carbon Footprint Calculator | 2 | 2% |
Click here for a complete list of tool names identified in EPA’s review of PCAPs.
GHG Reduction Measures Summary Tables
The following summary tables are based on PCAP data collected from 211 state, Metropolitan Statistical Area (MSA), Tribal, and territorial (T/T) PCAPs submitted under EPA’s Climate Pollution Reduction Grants Program and presented in the GHG Reduction Measures Searchable Table. Click here for a complete list of tool names that appear in the tables. Explore the GHG Reduction Measures Searchable table here. Download the underlying data here.
GHG Reduction Measures by Sector and Jurisdictional Level
| Sector | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Electricity | 132 | 177 | 312 | 621 | 18% | 16% | 37% | 23% |
| Commercial and Residential Buildings | 176 | 338 | 317 | 831 | 24% | 31% | 37% | 31% |
| Industry | 96 | 32 | 13 | 141 | 13% | 3% | 2% | 5% |
| Transportation | 239 | 422 | 158 | 819 | 33% | 39% | 19% | 31% |
| Waste and materials management | 101 | 145 | 68 | 314 | 14% | 13% | 8% | 12% |
| Agriculture | 39 | 28 | 17 | 84 | 5% | 3% | 2% | 3% |
| Natural and Working Lands | 56 | 88 | 54 | 198 | 8% | 8% | 6% | 7% |
| Cross-cutting** | 7 | 17 | 7 | 31 | 1% | 2% | 1% | 1% |
| Total PCAP Measures Identified* | 726 | 1,077 | 852 | 2,655 | 27% | 41% | 32% | 100% |
* Table values do not sum to these totals because some measures are multi-sector
** Cross-cutting is applied to measures that are not specific enough to be defined in one sector and includes the following measure types: Develop green workforce and Education and engagement.
State Measure Quantification Approaches
| blank | Number of Quantified Measures by Sector | ||||||
|---|---|---|---|---|---|---|---|
| Tool Name | Transportation | Commercial and Residential Buildings | Electricity | Industry | Waste and Materials Management | Agriculture | Natural and Working Lands |
| Custom-built tool | 70 | 48 | 25 | 14 | 16 | 6 | 11 |
| Energy Policy Simulator | 56 | 30 | 18 | 33 | 15 | 6 | 5 |
| EPA AVERT | 16 | 10 | 19 | 3 | 1 | 0 | 0 |
| EPA MOVES | 23 | 2 | 1 | 1 | 0 | 0 | 0 |
| EPA WARM | 0 | 0 | 0 | 0 | 16 | 0 | 0 |
| AFLEET | 14 | 1 | 1 | 0 | 0 | 0 | 0 |
| EPA SIT | 4 | 2 | 3 | 1 | 0 | 1 | 4 |
| EPA GLIMPSE | 1 | 9 | 1 | 3 | 0 | 0 | 0 |
| PVWatts Calculator | 0 | 8 | 9 | 0 | 0 | 0 | 0 |
| EPA GHG Equivalencies Calculator | 2 | 1 | 1 | 1 | 2 | 2 | 2 |
| Other* | 25 | 20 | 10 | 4 | 11 | 8 | 9 |
| Non-tool-based Quantification Method | blank | blank | blank | blank | blank | blank | blank |
| Emission factor analysis | 21 | 21 | 14 | 10 | 15 | 5 | 8 |
| Estimates based on project data or comparable plans | 8 | 9 | 8 | 11 | 7 | 4 | 5 |
| Linear GHG reduction estimation | 1 | 2 | 1 | 4 | 3 | 2 | 0 |
*Other tools refers to tools used to quantify fewer than 8 measures across the State PCAPs reviewed. Click here for a complete list of tool names identified in EPA’s review of PCAPs.
MSA Measure Quantification Approaches
| blank | Number of Quantified Measures by Sector | ||||||
|---|---|---|---|---|---|---|---|
| Tool Name | Transportation | Commercial and Residential Buildings | Electricity | Industry | Waste and Materials Management | Agriculture | Natural and Working Lands |
| Custom-built tool | 82 | 50 | 30 | 2 | 26 | 5 | 8 |
| EPA AVERT | 7 | 20 | 20 | 0 | 7 | 1 | 3 |
| ICLEI ClearPath | 18 | 13 | 9 | 3 | 8 | 1 | 5 |
| Energy Policy Simulator | 7 | 8 | 3 | 5 | 2 | 0 | 1 |
| EPA MOVES | 17 | 0 | 0 | 0 | 0 | 0 | 1 |
| AFLEET | 16 | 1 | 0 | 0 | 1 | 1 | 1 |
| CO2Sight (including IPM) | 0 | 14 | 1 | 0 | 0 | 0 | 0 |
| ResStock | 4 | 10 | 1 | 0 | 0 | 0 | 0 |
| DER Planner | 0 | 14 | 1 | 0 | 0 | 0 | 0 |
| EPA WARM | 0 | 1 | 0 | 0 | 12 | 0 | 0 |
| Other* | 64 | 45 | 23 | 3 | 0 | 3 | 20 |
| Non-tool-based Quantification Method | blank | blank | blank | blank | blank | blank | blank |
| Emission factor analysis | 124 | 91 | 41 | 12 | 36 | 7 | 28 |
| Estimates based on project data or comparable plans | 6 | 15 | 6 | 4 | 1 | 1 | 5 |
| Linear GHG reduction estimation | 6 | 18 | 4 | 0 | 3 | 1 | 3 |
*Other tools refers to tools used to quantify fewer than 12 measures across the MSA PCAPs reviewed. Click here for a complete list of tool names identified in EPA’s review of PCAPs.
Tribe and Territory Measure Quantification Approaches
| blank | Number of Quantified Measures by Sector | ||||||
|---|---|---|---|---|---|---|---|
| Tool Name | Transportation | Commercial and Residential Buildings | Electricity | Industry | Waste and Materials Management | Agriculture | Natural and Working Lands |
| EPA TGIT | 17 | 12 | 11 | 0 | 5 | 0 | 0 |
| EPA GHG Equivalencies Calculator | 6 | 12 | 11 | 0 | 3 | 0 | 1 |
| NREL PV Watts | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| EPA AVERT | 7 | 8 | 11 | 0 | 0 | 0 | 0 |
| Custom-built tool | 1 | 15 | 10 | 1 | 5 | 0 | 1 |
| ICLEI ClearPath | 4 | 6 | 4 | 0 | 1 | 0 | 0 |
| AFLEET | 11 | 0 | 0 | 0 | 0 | 0 | 0 |
| MTERA | 1 | 7 | 0 | 0 | 0 | 0 | 2 |
| EPA WARM | 0 | 1 | 0 | 0 | 8 | 0 | 0 |
| EPA SIT | 0 | 1 | 2 | 0 | 0 | 0 | 0 |
| Other* | 0 | 6 | 4 | 0 | 0 | 0 | 1 |
| Non-tool-based Quantification Method | blank | blank | blank | blank | blank | blank | blank |
| Emission factor analysis | 37 | 113 | 148 | 0 | 3 | 1 | 8 |
| Estimates based on project data or comparable plans | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| Linear GHG reduction estimation | 7 | 14 | 3 | 1 | 2 | 1 | 2 |
*Other tools refers to tools used to quantify fewer than 9 measures across the Tribal and territorial PCAPs reviewed. Click here for a complete list of tool names identified in EPA’s review of PCAPs.
Measure Types by Sectors
Transportation Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Reduce freight mileage | 1 | 3 | 0 | 4 | 0.4% | 0.7% | 0% | 0.5% |
| Education and engagement | 1 | 4 | 0 | 5 | 0.4% | 1% | 0% | 1% |
| Improve road conditions | 1 | 5 | 0 | 6 | 0.4% | 1% | 0% | 0.7% |
| Utilize low embodied carbon materials | 2 | 0 | 0 | 2 | 0.8% | 0% | 0% | 0.2% |
| Develop green workforce | 2 | 4 | 1 | 7 | 0.8% | 1% | 1% | 0.9% |
| Deploy lower-emitting locomotives | 3 | 1 | 0 | 4 | 1.3% | 0.2% | 0% | 0.5% |
| Apply technology or best practices to improve fuel efficiency | 3 | 3 | 0 | 6 | 1.3% | 0.7% | 0% | 0.7% |
| Promote water- or train-based freight transportation | 4 | 4 | 0 | 8 | 1.7% | 1% | 0% | 1.0% |
| Build housing in transit connected locations | 4 | 17 | 0 | 21 | 1.7% | 4% | 0% | 3% |
| Provide shore power to docked boats | 5 | 2 | 0 | 7 | 2.1% | 0.5% | 0% | 1% |
| Electrify or increase efficiency of non-road transportation | 5 | 24 | 9 | 38 | 2.1% | 6% | 6% | 5% |
| Encourage carpooling | 6 | 10 | 7 | 23 | 2.5% | 2% | 4% | 3% |
| Reduce vehicle miles traveled | 7 | 6 | 6 | 19 | 2.9% | 1% | 4% | 2% |
| Encourage deployment of higher fuel efficiency vehicles | 9 | 20 | 6 | 35 | 3.8% | 5% | 4% | 4% |
| Electrify off road vehicles or equipment | 11 | 29 | 5 | 45 | 4.6% | 7% | 3% | 5% |
| Build dense communities | 12 | 22 | 4 | 38 | 5.0% | 5% | 3% | 5% |
| Electrify municipal buses | 20 | 30 | 15 | 65 | 8.4% | 7% | 9% | 8% |
| Utilize low carbon fuels | 24 | 27 | 4 | 55 | 10.0% | 6% | 3% | 7% |
| Expand public transit | 35 | 80 | 13 | 128 | 14.6% | 19% | 8% | 16% |
| Increase the deployment of electric vehicles | 35 | 41 | 19 | 95 | 14.6% | 10% | 12% | 12% |
| Increase active transportation | 38 | 104 | 11 | 153 | 15.9% | 25% | 7% | 19% |
| Electrify government and/or publicly owned vehicle fleets | 40 | 55 | 65 | 160 | 16.7% | 13% | 41% | 20% |
| Increase the deployment of electric MDVs and/or HDVs | 43 | 23 | 2 | 68 | 18.0% | 5% | 1% | 8% |
| Develop EV charging infrastructure | 64 | 90 | 67 | 221 | 26.8% | 21% | 42% | 27% |
| Total Transportation Measures Identified* | 239 | 422 | 158 | 819 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Electricity Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Utilize low embodied carbon materials | 0 | 0 | 1 | 1 | 0% | 0% | 0.3% | 0.2% |
| Education and engagement | 0 | 12 | 2 | 14 | 0% | 7% | 1% | 2% |
| Develop green workforce | 1 | 7 | 3 | 11 | 1% | 4% | 1% | 2% |
| Use more efficient fossil-fuel generation technology | 2 | 0 | 0 | 2 | 2% | 0% | 0% | 0.3% |
| Maintain or expand nuclear energy generation | 2 | 0 | 0 | 2 | 2% | 0% | 0% | 0.3% |
| Create a cap-and-trade or carbon tax program | 2 | 1 | 0 | 3 | 2% | 1% | 0% | 0.5% |
| Facilitate community choice aggregation programs | 2 | 7 | 0 | 9 | 2% | 4% | 0% | 1% |
| Achieve clean or renewable energy goals | 3 | 2 | 0 | 5 | 2% | 1% | 0% | 0.8% |
| Deploy carbon capture and/or sequestration technology | 3 | 2 | 0 | 5 | 2% | 1% | 0% | 1% |
| Use cleaner fuels for power generation | 6 | 3 | 7 | 16 | 5% | 2% | 2% | 3% |
| Support development or expansion of community solar programs | 6 | 13 | 52 | 71 | 5% | 7% | 17% | 11% |
| Use district geothermal, cogeneration, or waste heat recovery | 8 | 11 | 42 | 61 | 6% | 6% | 13% | 10% |
| Develop microgrids | 12 | 14 | 30 | 56 | 9% | 8% | 10% | 9% |
| Develop transmission and distribution infrastructure | 18 | 10 | 48 | 76 | 14% | 6% | 15% | 12% |
| Develop energy storage systems | 34 | 36 | 99 | 169 | 26% | 20% | 32% | 27% |
| Expand utility-scale renewable energy generation | 35 | 26 | 42 | 103 | 27% | 15% | 13% | 17% |
| Increase deployment of distributed renewables | 52 | 106 | 137 | 295 | 39% | 60% | 44% | 48% |
| Total Electricity Measures Identified* | 132 | 177 | 312 | 621 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Commercial and Residential Building Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Develop green workforce | 3 | 8 | 1 | 12 | 2% | 2% | 0.3% | 1% |
| Install LED Streetlights | 7 | 8 | 1 | 16 | 4% | 2% | 0.3% | 2% |
| Phase out HFCs | 8 | 5 | 3 | 16 | 5% | 1% | 1% | 2% |
| Electrify new construction | 3 | 7 | 3 | 13 | 2% | 2% | 1% | 2% |
| Education and engagement | 4 | 36 | 3 | 43 | 2% | 11% | 1% | 5% |
| Utilize low embodied carbon materials | 2 | 5 | 5 | 12 | 1% | 1% | 2% | 1% |
| Develop building benchmarking and performance standards | 7 | 15 | 5 | 27 | 4% | 4% | 2% | 3% |
| Utilize low carbon fuels | 2 | 5 | 7 | 14 | 1% | 1% | 2% | 2% |
| Leverage building codes | 14 | 23 | 8 | 45 | 8% | 7% | 3% | 5% |
| Improve municipal building efficiency | 20 | 40 | 17 | 77 | 11% | 12% | 5% | 9% |
| Improve building energy efficiency | 16 | 43 | 23 | 82 | 9% | 13% | 7% | 10% |
| Electrify existing buildings | 48 | 57 | 43 | 148 | 27% | 17% | 14% | 18% |
| Increase deployment of distributed renewables | 46 | 93 | 63 | 202 | 26% | 28% | 20% | 24% |
| Deploy electric heat pumps | 20 | 38 | 65 | 123 | 11% | 11% | 21% | 15% |
| Install more efficient heating or cooling equipment | 38 | 69 | 79 | 186 | 22% | 20% | 25% | 22% |
| Improve appliance energy efficiency | 23 | 55 | 120 | 198 | 13% | 16% | 38% | 24% |
| Improve weatherization | 34 | 61 | 131 | 226 | 19% | 18% | 41% | 27% |
| Total Commercial and Residential Measures Identified* | 176 | 338 | 317 | 831 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Industry Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Education and engagement | 1 | 2 | 0 | 3 | 1% | 6% | 0% | 2% |
| Develop green workforce | 1 | 3 | 0 | 4 | 1% | 9% | 0% | 3% |
| Improve weatherization | 2 | 0 | 0 | 2 | 2% | 0% | 0% | 1% |
| Electrify existing buildings | 2 | 1 | 0 | 3 | 2% | 3% | 0% | 2% |
| Utilize low embodied carbon materials | 2 | 1 | 0 | 3 | 2% | 3% | 0% | 2% |
| Improve building energy efficiency | 2 | 2 | 0 | 4 | 2% | 6% | 0% | 3% |
| Install more efficient heating or cooling equipment | 3 | 2 | 1 | 6 | 3% | 6% | 8% | 4% |
| Improve appliance energy efficiency | 4 | 1 | 1 | 6 | 4% | 3% | 8% | 4% |
| Manufacture low carbon fuels | 9 | 0 | 0 | 9 | 9% | 0% | 0% | 6% |
| Increase deployment of distributed renewables | 9 | 7 | 2 | 18 | 9% | 22% | 15% | 13% |
| Phase out HFCs | 11 | 3 | 1 | 15 | 11% | 9% | 8% | 11% |
| Utilize low carbon fuels | 12 | 5 | 4 | 21 | 13% | 16% | 31% | 15% |
| Deploy carbon capture and/or sequestration technology | 15 | 3 | 0 | 18 | 16% | 9% | 0% | 13% |
| Improve chemical and/or process efficiency | 16 | 5 | 1 | 22 | 17% | 16% | 8% | 16% |
| Reduce fugitive emissions | 18 | 5 | 5 | 28 | 19% | 16% | 38% | 20% |
| Improve industrial energy efficiency | 18 | 9 | 2 | 29 | 19% | 28% | 15% | 21% |
| Electrify industrial processes | 19 | 2 | 1 | 22 | 20% | 6% | 8% | 16% |
| Total Industry Measures Identified* | 96 | 32 | 13 | 141 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Waste and Materials Management Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Utilize low embodied carbon materials | 3 | 2 | 0 | 5 | 2% | 1% | 0% | 1% |
| Increase thermal biomass conversion | 6 | 3 | 0 | 9 | 3% | 1% | 0% | 2% |
| Develop green workforce | 0 | 3 | 1 | 4 | 0% | 1% | 1% | 1% |
| Increase capture and/or utilization of gas from anaerobic digestion | 19 | 3 | 1 | 23 | 10% | 1% | 1% | 4% |
| Increase capture and/or utilization of gas from landfills | 30 | 18 | 3 | 51 | 16% | 8% | 3% | 10% |
| Develop analytical and planning tools for materials management | 2 | 6 | 5 | 13 | 1% | 3% | 5% | 3% |
| Increase waste-to-energy | 1 | 8 | 5 | 14 | 1% | 4% | 5% | 3% |
| Increase anaerobic digestion | 23 | 13 | 6 | 42 | 13% | 6% | 5% | 8% |
| Education and engagement | 0 | 6 | 7 | 13 | 0% | 3% | 6% | 3% |
| Reduce nonfood waste | 9 | 13 | 7 | 29 | 5% | 6% | 6% | 6% |
| Reduce food/organic waste | 15 | 22 | 7 | 44 | 8% | 10% | 6% | 9% |
| Reduce emissions from wastewater treatment facilities | 12 | 26 | 13 | 51 | 7% | 12% | 12% | 10% |
| Increase recycling | 21 | 38 | 28 | 87 | 11% | 17% | 25% | 17% |
| Increase composting | 42 | 58 | 28 | 128 | 23% | 26% | 25% | 25% |
| Total Waste and Materials Management Measures Identified* | 183 | 219 | 111 | 513 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Agriculture Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Improve livestock management | 11 | 5 | 0 | 16 | 28% | 18% | 0% | 19% |
| Adopt soil or land management practices to sequester carbon | 27 | 19 | 12 | 58 | 69% | 68% | 71% | 69% |
| Adopt soil management practices to reduce GHG emissions | 12 | 2 | 5 | 19 | 31% | 7% | 29% | 23% |
| Reduce agricultural fuel emissions | 6 | 1 | 1 | 8 | 15% | 4% | 6% | 10% |
| Utilize low embodied carbon materials | 0 | 0 | 1 | 1 | 0% | 0% | 6% | 1% |
| Develop green workforce | 0 | 2 | 0 | 2 | 0% | 7% | 0% | 2% |
| Education and engagement | 1 | 2 | 2 | 5 | 3% | 7% | 12% | 6% |
| Total Agriculture Measures Identified* | 39 | 28 | 17 | 84 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
Natural and Working Lands Sector Measure Types by Jurisdictional Level
| Measure Type | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Expand urban forests and/or green spaces | 22 | 55 | 14 | 91 | 39% | 63% | 26% | 46% |
| Maintain or expand existing forests | 33 | 29 | 24 | 86 | 59% | 33% | 44% | 43% |
| Increase thermal biomass conversion | 6 | 1 | 0 | 7 | 11% | 1% | 0% | 4% |
| Manage or restore grasslands for carbon sequestration | 5 | 3 | 4 | 12 | 9% | 3% | 7% | 6% |
| Preserve or expand wetlands | 10 | 8 | 24 | 42 | 18% | 9% | 44% | 21% |
| Utilize low embodied carbon materials | 0 | 0 | 0 | 0 | 0% | 0% | 0% | 0% |
| Develop green workforce | 0 | 3 | 0 | 3 | 0% | 3% | 0% | 2% |
| Education and engagement | 1 | 8 | 2 | 11 | 2% | 9% | 4% | 6% |
| Total Natural and Working Lands Measures Identified* | 56 | 88 | 54 | 198 | 100% | 100% | 100% | 100% |
* Table values do not sum to these totals because some measures have multiple measure types
LIDAC Benefits Summary Tables
The following summary tables are based on PCAP data collected from 126 state, Metropolitan Statistical Area (MSA), Tribal, and territorial (T/T) PCAPs submitted under EPA’s Climate Pollution Reduction Grants Program and presented in the Low-Income and Disadvantaged Community (LIDAC) Benefits Searchable Table. Click here for a complete list of tool names that appear in the tables. Explore the LIDAC Benefits Searchable table here. Download the underlying data here.
LIDAC Benefits Analysis by Jurisdictional Level
| Type of LIDAC Benefits Analysis in PCAP | State | MSA | All | State | MSA | All |
|---|---|---|---|---|---|---|
| Any LIDAC Benefits Analysis | 47 | 79 | 126 | 100% | 100% | 100% |
| Any measure-level LIDAC Benefits Analysis | 43 | 65 | 108 | 91% | 82% | 86% |
| Any plan-level LIDAC Benefits Analysis | 41 | 69 | 110 | 87% | 87% | 87% |
| Any quantitative analysis | 12 | 42 | 54 | 26% | 53% | 43% |
| Total PCAPs Reviewed | 47 | 79 | 126 | 37% | 63% | 100% |
LIDAC Benefits Types by Jurisdictional Level
| LIDAC Benefit Type | State | MSA | All | State | MSA | All |
|---|---|---|---|---|---|---|
| Jobs and workforce | 45 | 70 | 115 | 96% | 89% | 91% |
| Air quality | 42 | 75 | 117 | 89% | 95% | 93% |
| Affordability and cost savings | 40 | 75 | 115 | 85% | 95% | 91% |
| Public health | 39 | 75 | 114 | 83% | 95% | 90% |
| Resilience | 36 | 59 | 95 | 77% | 75% | 75% |
| Economic growth | 30 | 55 | 85 | 64% | 70% | 67% |
| Access to and quality of services and amenities | 30 | 64 | 94 | 64% | 81% | 75% |
| Capacity-building | 20 | 28 | 48 | 43% | 35% | 38% |
| Natural resource conservation and enhancement | 14 | 36 | 50 | 30% | 46% | 40% |
| Other | 31 | 63 | 94 | 66% | 80% | 75% |
LIDAC Engagement Approaches by Jurisdictional Level
| LIDAC Engagement Approach | State | MSA | All | State | MSA | All |
|---|---|---|---|---|---|---|
| Events and meetings | 25 | 34 | 59 | 53% | 43% | 47% |
| Participant accessibility and incentives | 15 | 10 | 25 | 32% | 13% | 20% |
| Advisory groups | 12 | 18 | 30 | 26% | 23% | 24% |
| Publicity | 12 | 18 | 30 | 26% | 23% | 24% |
| Stakeholder mapping | 9 | 24 | 33 | 19% | 30% | 26% |
| Surveys | 6 | 21 | 27 | 13% | 27% | 21% |
| Engagement plans and metrics | 4 | 7 | 11 | 9% | 9% | 9% |
| Public comment periods | 3 | 0 | 3 | 6% | 0% | 2% |
| Engagement-focused staff or contractor | 2 | 5 | 7 | 4% | 6% | 6% |
Co-Pollutant Benefits Summary Tables
The following summary tables are based on PCAP data collected from 211 state, Metropolitan Statistical Area (MSA), Tribal, and territorial (T/T) PCAPs submitted under EPA’s Climate Pollution Reduction Grants Program and presented in the GHG Reduction Measures with Co-Pollutant Benefits Searchable Table. Click here for a complete list of tool names that appear in the tables. Explore the GHG Reduction Measures with Co-Pollutant Benefits table here. Download the underlying data here.
Criteria Air Pollutant (CAP) Benefits Analysis by Jurisdictional Level
| Type of CAP Benefits Analysis in PCAP | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Qualitative-only | 0 | 9 | 5 | 14 | 0% | 11% | 6% | 7% |
| Quantitative-only | 19 | 9 | 25 | 53 | 40% | 11% | 29% | 25% |
| Quantitative and qualitative | 4 | 0 | 19 | 23 | 9% | 0% | 22% | 11% |
| Total PCAPs Reviewed | 47 | 79 | 85 | 211 | 22% | 37% | 40% | 100% |
Hazardous Air Pollutant (HAP) Benefits Analysis in PCAPs by Jurisdictional Level
| Type of HAP Benefits Analysis in PCAP | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Qualitative-only | 0 | 5 | 3 | 8 | 0% | 6% | 4% | 10% |
| Quantitative-only | 9 | 7 | 13 | 29 | 19% | 9% | 15% | 43% |
| Quantitative and qualitative | 1 | 0 | 18 | 19 | 2% | 0% | 21% | 23% |
| Total PCAPs Reviewed | 47 | 79 | 85 | 211 | 22% | 37% | 40% | 100% |
Measures with Quantitative CAP/HAP Benefits Analysis by Jurisdictional Level
| Type of Benefits Analysis in PCAP | State | MSA | T/T | All | State | MSA | T/T | All |
|---|---|---|---|---|---|---|---|---|
| Quantitative CAP Analysis-only | 246 | 202 | 156 | 604 | 34% | 19% | 18% | 71% |
| Quantitative HAP Analysis-only | 56 | 91 | 75 | 222 | 8% | 8% | 9% | 25% |
| Quantitative CAP and HAP Analysis | 56 | 79 | 64 | 199 | 8% | 7% | 8% | 23% |
| Total PCAP Measures Identified | 726 | 1,077 | 852 | 2,655 | 27% | 41% | 32% | 100% |
Measure Quantification Tools Used for Quantitative CAP/HAP Benefits Analysis
| Tool Name | CAP Analysis | HAP Analysis | ||||||
|---|---|---|---|---|---|---|---|---|
| State | MSA | T/T | All | State | MSA | T/T | All | |
| EPA AVERT | 25 | 39 | 16 | 80 | 0 | 8 | 6 | 14 |
| Custom-built tool | 48 | 23 | 0 | 71 | 13 | 19 | 0 | 32 |
| EPA COBRA | 21 | 21 | 0 | 42 | 0 | 20 | 0 | 20 |
| EPA MOVES | 18 | 11 | 0 | 29 | 0 | 7 | 0 | 7 |
| Energy Policy Simulator | 57 | 7 | 0 | 64 | 29 | 7 | 0 | 36 |
| AFLEET | 0 | 8 | 0 | 8 | 0 | 2 | 0 | 2 |
| EPA GLIMPSE | 0 | 5 | 0 | 5 | 0 | 5 | 0 | 5 |
| ResStock | 1 | 8 | 0 | 9 | 0 | 0 | 0 | 0 |
| EPA NEI | 1 | 0 | 12 | 13 | 0 | 0 | 4 | 4 |
| EPA TGIT | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Total Measures with Quantitative Co-pollutant Benefits Analysis | 246 | 202 | 156 | 604 | 246 | 202 | 156 | 604 |