NAME_SPLIT
(
type: esriFieldTypeString, alias: City, length: 255
)
Region
(
type: esriFieldTypeString, alias: Region, length: 254
)
SUM_tplgis_1
(
type: esriFieldTypeDouble, alias: Number of schools
)
lpa_crudep
(
type: esriFieldTypeDouble, alias: Rate of sedentary behavior in the city. National average is 27%
)
mhlth_cr_2
(
type: esriFieldTypeDouble, alias: Rate of poor mental health in the city. National average is 14.8%
)
PercPoorMentalHealth
(
type: esriFieldTypeDouble, alias: Percent of schools in census tracts with higher than average poor mental health
)
PercLowPhysActive
(
type: esriFieldTypeDouble, alias: Percent of schools in census tracts with higher than average sedentary behavior
)
Health
(
type: esriFieldTypeDouble, alias: Health Score (5 is highest score, average is 2.5). Based on a combination of the four metrics above.
)
FIRST_MEAN_MINORPCT
(
type: esriFieldTypeDouble, alias: Proportion people of color in the city
)
FIRST_MEAN_LOWINCPCT
(
type: esriFieldTypeDouble, alias: Proportion low income in the city
)
FIRST_MEAN_LESSHSPCT
(
type: esriFieldTypeDouble, alias: Proportion less than high school education in the city
)
FIRST_MEAN_LINGISOPCT
(
type: esriFieldTypeDouble, alias: Proportion linguistic isolation in the city
)
schoolsInPOC
(
type: esriFieldTypeDouble, alias: Percent of schools in block groups with relatively higher percent people of color
)
schoolsInLOWINC
(
type: esriFieldTypeDouble, alias: Percent of schools in block groups with relatively more people living in low income households
)
schoolsInLESSHS
(
type: esriFieldTypeDouble, alias: Percent of schools in block groups with relatively higher rates of adults w/o high school education
)
schoolsInLINGISO
(
type: esriFieldTypeDouble, alias: Percent of schools in block groups with relatively higher rates of linguistically isolated households
)
OverallEquityScore_Norm
(
type: esriFieldTypeDouble, alias: Vulnerable populations score (5 is highest score, 2.21 is average). Based on a combination of the eight metrics above.
)
read_test_city
(
type: esriFieldTypeDouble, alias: Percent students scoring proficiently on reading assessments. Average across all cities is 47.5)
)
math_test_city
(
type: esriFieldTypeDouble, alias: Percent students scoring proficiently on math assessments. National average is 41.5
)
Education_AssessmentScore_Norm
(
type: esriFieldTypeDouble, alias: Education Score (5 is highest score, 2.7 is average). Base on a combination of the two metrics above.
)
Name: School scoring (relative to all schools in the city)
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. The CCD program also provides fiscal data about school district revenues and expenditures. CCD school and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. The NCES EDGE program collaborates with the U.S. Census Bureau's Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools reported in the annual CCD directory file. The point locations in this data layer were developed from the 2019-2020 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.
MINORPCT
(
type: esriFieldTypeDouble, alias: Proportion people of color in the block group
)
LOWINCPCT
(
type: esriFieldTypeDouble, alias: Proportion low income in the block group
)
LINGISOPCT
(
type: esriFieldTypeDouble, alias: Proportion of linguistic isolation in block group
)
LESSHSPCT
(
type: esriFieldTypeDouble, alias: Proportion less than high school education in the block group
)
EquityScore
(
type: esriFieldTypeDouble, alias: Vulnerably populations score (combined score of the four metrics above). Average across all schools is 0.1
)
MathMidpt
(
type: esriFieldTypeInteger, alias: Percent of students scoring proficiently on math assessments
)
ReadMidPt
(
type: esriFieldTypeInteger, alias: Percent of students scoring proficiently on reading assessments
)
SuspensionPercent
(
type: esriFieldTypeDouble, alias: Proportion of students with out of school suspensions. Average across all schools is 0.06 )
ChronicAbsentPercent
(
type: esriFieldTypeDouble, alias: Proportion of students chronicly absent. Average across all schools is 0.16
)
EducationScore
(
type: esriFieldTypeDouble, alias: Education score (combined score of the four metrics above). National average is 0.1
)
lpa_crude9
(
type: esriFieldTypeString, alias: Rate of sedentary behavior in the census tract (national average is 26%), length: 254
)
Mental_Double
(
type: esriFieldTypeDouble, alias: Rate of poor mental health in the census tract. National average is 14.8%
)
HealthScore
(
type: esriFieldTypeDouble, alias: Health score (combined score of the two metrics above). National average for all schools is 0.34
)
MEAN
(
type: esriFieldTypeDouble, alias: Land surface temperature (degrees F over the city mean surface temperature) Average of all schools is 1.85 degrees
)
ParkRank2
(
type: esriFieldTypeSmallInteger, alias: In an area of Park Need (yes =1)
)
SchoolPriorityScore
(
type: esriFieldTypeDouble, alias: School score relative to the city - higher value indicates higher priority for a community schoolyard
)