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Sorry 😔 we couldn’t find what you were looking for.
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Sorry 😔 we couldn’t find what you were looking for.
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Sorry 😔 we couldn’t find what you were looking for.
Go home.
Public beta — This website may be continuously updated
Zoom into the map to see which communities the tool has currently identified as prioritized (the top 25% of communities) or on the threshold. Learn more about the formula and datasets that were used to prioritize these communities on the Data & methodology page.
Public beta — This website may be continuously updated
Zoom into the map to see which communities the tool has currently identified as prioritized (the top 25% of communities) or on the threshold. Learn more about the formula and datasets that were used to prioritize these communities on the Data & methodology page.
Limited data sources — Datasets may be added, updated, or removed.
Limited data sources — Datasets may be added, updated, or removed.
Public beta — This website may be continuously updated
Public beta — This website may be continuously updated
Public beta — This website may be continuously updated
Public beta — This website may be continuously updated
Read more about the Justice40 Initiative in President Biden’s Executive Order on Tackling the Climate Crisis at Home and Abroad. -
Public beta — This website may be continuously updated
The Just Progress tool combines demographic, environmental, and socio-economic data to generate a cumulative index score, referred to as the Just Progress Index. The tool currently utilizes national, publically-available data from the United States Census Bureau’s American Community Survey (ACS) and the EPA’s EJScreen tool.
The various inputs into the Just Progress Index are averaged into 2 categories: Pollution Burden and Demographics.
Pollution Burden: health risks arising from proximity and potential exposures to pollution and other adverse environmental conditions
Demographics: sensitive populations and socioeconomic factors that make a community more vulnerable
Pollution Burden average x Demographics average = Just Progress Index
Limited data sources — Datasets may be added, updated, or removed.
The datasets come from a variety of sources and were selected after considering relevance, availability, recency and quality.
Public beta — This website may be continuously updated
The Just Progress tool combines demographic, environmental, and socio-economic data to generate a cumulative index score, referred to as the Just Progress Index. The tool currently utilizes national, publically-available data from the United States Census Bureau’s American Community Survey (ACS) and the EPA’s EJScreen tool.
The various inputs into the Just Progress Index are averaged into 2 categories: Pollution Burden and Demographics.
Pollution Burden: health risks arising from proximity and potential exposures to pollution and other adverse environmental conditions
Demographics: sensitive populations and socioeconomic factors that make a community more vulnerable
Pollution Burden average x Demographics average = Just Progress Index
Limited data sources — Datasets may be added, updated, or removed.
The datasets come from a variety of sources and were selected after considering relevance, availability, recency and quality.
The cumulative index score includes the following equally weighted inputs.
Some data is not available at the census block group level and is instead only available for larger units such as census tracts or counties. In these cases, all census block groups will get an even contribution from the larger unit. For example, if a census tract scores 90th percentile on an indicator, then all census block groups within that tract will receive a value of 90th percentile.
The range of the data that makes up the score varies, so the data must be normalized so that each data indicator can be more equally weighted. Min-max normalization is utilized, where the minimum value in the range of values for each dataset is set at 0, the maximum value is set at 1, and every other value is transformed into a decimal between 0 and 1. For example, if the minimum value for unemployment was 10 and the maximum value was 30, a value of 20 would be transformed to 0.5 since it is halfway between 10 and 30.
To combine all variables into a single cumulative index score, we average the normalized values across indicators.
Census block groups are sorted by their cumulative index score from highest to lowest. Census block groups that are in the top 25 percentile (i.e. have a cumulative index score in the 75 - 100th percentile) will be considered the prioritized communities.
The cumulative index score includes the following equally weighted inputs.
Some data is not available at the census block group level and is instead only available for larger units such as census tracts or counties. In these cases, all census block groups will get an even contribution from the larger unit. For example, if a census tract scores 90th percentile on an indicator, then all census block groups within that tract will receive a value of 90th percentile.
The range of the data that makes up the score varies, so the data must be normalized so that each data indicator can be more equally weighted. Min-max normalization is utilized, where the minimum value in the range of values for each dataset is set at 0, the maximum value is set at 1, and every other value is transformed into a decimal between 0 and 1. For example, if the minimum value for unemployment was 10 and the maximum value was 30, a value of 20 would be transformed to 0.5 since it is halfway between 10 and 30.
To combine all variables into a single cumulative index score, we average the normalized values across indicators.
Census block groups are sorted by their cumulative index score from highest to lowest. Census block groups that are in the top 25 percentile (i.e. have a cumulative index score in the 75 - 100th percentile) will be considered the prioritized communities.
Continuously engage with stakeholders and community members to get feedback on the screening tool, scoring, and overall process.
Continuously source data that meets data principles as defined through community input.
Publish data principles on this site by June 2021.
Make the first version of a screening tool available by July 2021.
Create a public scorecard to ensure accountability of investments by February 2022.
Continuously engage with stakeholders and community members to get feedback on the screening tool, scoring, and overall process.
Continuously source data that meets data principles as defined through community input.
Publish data principles on this site by June 2021.
Make the first version of a screening tool available by July 2021.
Create a public scorecard to ensure accountability of investments by February 2022.
Sorry 😔 we couldn’t find what you were looking for.
Go home.
Sorry 😔 we couldn’t find what you were looking for.
Go home.
Sorry 😔 we couldn’t find what you were looking for.
Go home.
Sorry 😔 we couldn’t find what you were looking for.
Go home.
Public beta — This website may be continuously updated
Zoom into the map to see which communities the tool has currently identified as prioritized (the top 25% of communities) or on the threshold. Learn more about the formula and datasets that were used to prioritize these communities on the Data & methodology page.
Public beta — This website may be continuously updated
Zoom into the map to see which communities the tool has currently identified as prioritized (the top 25% of communities) or on the threshold. Learn more about the formula and datasets that were used to prioritize these communities on the Data & methodology page.
Limited data sources — Datasets may be added, updated, or removed.
Limited data sources — Datasets may be added, updated, or removed.
Public beta — This website may be continuously updated
Public beta — This website may be continuously updated
Public beta — This website may be continuously updated
Lea más sobre la Iniciativa Justice40 en Orden ejecutiva sobre la lucha contra la crisis climática en el país y en el extranjero. del presidente Biden.
Public beta — This website may be continuously updated
Lea más sobre la Iniciativa Justice40 en Orden ejecutiva sobre la lucha contra la crisis climática en el país y en el extranjero. del presidente Biden.
Public beta — This website may be continuously updated
The Just Progress tool combines demographic, environmental, and socio-economic data to generate a cumulative index score, referred to as the Just Progress Index. The tool currently utilizes national, publically-available data from the United States Census Bureau’s American Community Survey (ACS) and the EPA’s EJScreen tool.
The various inputs into the Just Progress Index are averaged into 2 categories: Pollution Burden and Demographics.
Pollution Burden: health risks arising from proximity and potential exposures to pollution and other adverse environmental conditions
Demographics: sensitive populations and socioeconomic factors that make a community more vulnerable
Pollution Burden average x Demographics average = Just Progress Index
Limited data sources — Datasets may be added, updated, or removed.
The datasets come from a variety of sources and were selected after considering relevance, availability, recency and quality.
Public beta — This website may be continuously updated
The Just Progress tool combines demographic, environmental, and socio-economic data to generate a cumulative index score, referred to as the Just Progress Index. The tool currently utilizes national, publically-available data from the United States Census Bureau’s American Community Survey (ACS) and the EPA’s EJScreen tool.
The various inputs into the Just Progress Index are averaged into 2 categories: Pollution Burden and Demographics.
Pollution Burden: health risks arising from proximity and potential exposures to pollution and other adverse environmental conditions
Demographics: sensitive populations and socioeconomic factors that make a community more vulnerable
Pollution Burden average x Demographics average = Just Progress Index
Limited data sources — Datasets may be added, updated, or removed.
The datasets come from a variety of sources and were selected after considering relevance, availability, recency and quality.
The cumulative index score includes the following equally weighted inputs.
Some data is not available at the census block group level and is instead only available for larger units such as census tracts or counties. In these cases, all census block groups will get an even contribution from the larger unit. For example, if a census tract scores 90th percentile on an indicator, then all census block groups within that tract will receive a value of 90th percentile.
The range of the data that makes up the score varies, so the data must be normalized so that each data indicator can be more equally weighted. Min-max normalization is utilized, where the minimum value in the range of values for each dataset is set at 0, the maximum value is set at 1, and every other value is transformed into a decimal between 0 and 1. For example, if the minimum value for unemployment was 10 and the maximum value was 30, a value of 20 would be transformed to 0.5 since it is halfway between 10 and 30.
To combine all variables into a single cumulative index score, we average the normalized values across indicators.
Census block groups are sorted by their cumulative index score from highest to lowest. Census block groups that are in the top 25 percentile (i.e. have a cumulative index score in the 75 - 100th percentile) will be considered the prioritized communities.
The cumulative index score includes the following equally weighted inputs.
Some data is not available at the census block group level and is instead only available for larger units such as census tracts or counties. In these cases, all census block groups will get an even contribution from the larger unit. For example, if a census tract scores 90th percentile on an indicator, then all census block groups within that tract will receive a value of 90th percentile.
The range of the data that makes up the score varies, so the data must be normalized so that each data indicator can be more equally weighted. Min-max normalization is utilized, where the minimum value in the range of values for each dataset is set at 0, the maximum value is set at 1, and every other value is transformed into a decimal between 0 and 1. For example, if the minimum value for unemployment was 10 and the maximum value was 30, a value of 20 would be transformed to 0.5 since it is halfway between 10 and 30.
To combine all variables into a single cumulative index score, we average the normalized values across indicators.
Census block groups are sorted by their cumulative index score from highest to lowest. Census block groups that are in the top 25 percentile (i.e. have a cumulative index score in the 75 - 100th percentile) will be considered the prioritized communities.
Continuously engage with stakeholders and community members to get feedback on the screening tool, scoring, and overall process.
Continuously source data that meets data principles as defined through community input.
Publish data principles on this site by June 2021.
Make the first version of a screening tool available by July 2021.
Create a public scorecard to ensure accountability of investments by February 2022.
Continuously engage with stakeholders and community members to get feedback on the screening tool, scoring, and overall process.
Continuously source data that meets data principles as defined through community input.
Publish data principles on this site by June 2021.
Make the first version of a screening tool available by July 2021.
Create a public scorecard to ensure accountability of investments by February 2022.