Results
Promise Neighborhoods grantees are committed to achieving 10 results that span the cradle-to-career pipeline, which are measured by Government Performance and Results Act indicators. This results-based framework provides a clear way to align solutions and strategies and measure Promise Neighborhoods’ progress towards these results. The data dashboard displays Promise Neighborhoods data for indicators associated with 10 results.
Data Dashboard
This data dashboard groups data by grantee cohort, or the fiscal year in which a neighborhood received an implementation grant: Extension (2012), Extension (2016), 2016, 2017, 2018, and 2021. Note that individual grantees are not named.
Select a result and cohort to display the data by year. Each graph starts with Year 1, which corresponds to the first full year of implementation for that cohort. For example, 2022 was Year 1 for the FY 2021 cohort, Year 4 for the FY 2018 cohort, and Year 10 for the FY 2012/Extension cohort.
Students are proficient in core academic subjects as measured by the share of third through eighth graders and high schoolers who are at or above grade level on state mathematics and English language arts assessments.
Percent of students at or above grade level according to State English language arts assessments in at least the grades required by the ESEA (3rd through 8th and once in high school).
Years
Grantee 1
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Grantee 2
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Grantee 3
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Grantee 4
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Grantee 5
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Grantee 6
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Grantee 7
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Grantee 8
Data Note: For the 6 grantees who provided reportable data for this indicator in 2022, values ranged from 9.6% to 50.8%.
Percent of students at or above grade level according to State mathematics assessments in at least the grades required by the ESEA (3rd through 8th and once in high school).
Years
Grantee 1
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Grantee 2
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Grantee 3
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Grantee 4
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Grantee 5
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Grantee 6
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Grantee 7
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Grantee 8
Data Note: For the 6 grantees who provided reportable data for this indicator in 2022, values ranged from 4.8% to 26.8%.
Missing datapoints indicate data were not reported or were suppressed because of data quality.