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DG655

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Displaying 1 - 10 of 645863
School Year State NCES LEA ID Local Education Agency (School District) Name School Name NCES School ID Data Group ID Data Description Value NUMVALID Academic Subject Category Sub-Category Age/Grade Grade Level Mckinney-Vento Subgrantee Status LEP Status Description English Proficiency Title I, Part A Program Type Language Title I, Part D Program Type Progress Level
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 3 NA Children with one or more disabilities (IDEA) Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 98 NA Doubled-up Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 61 NA English Learner Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 0 NA Hotels/motels Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 51 NA Migratory students Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 0 NA Shelters, transitional housing, or awaiting foster care Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 101 NA All Students Pre-K through 12th grade
2018-2019 ALABAMA 0100005 Albertville City 655 Homeless Students Enrolled 0 NA Unaccompanied Youth Pre-K through 12th grade
2018-2019 ALABAMA 0100006 Marshall County 655 Homeless Students Enrolled 35 NA Children with one or more disabilities (IDEA) Pre-K through 12th grade
2018-2019 ALABAMA 0100006 Marshall County 655 Homeless Students Enrolled 190 NA Doubled-up Pre-K through 12th grade
CSV DATA NOTES

Data Notes

Displaying 1 - 10 of 163 data notes
School Year State File Spec Data Group Reporting Level Data Note State Note
2018-2019 ALABAMA 118 655 SEA, LEA The sum of homeless children and youth by primary nighttime residence type does not equal the reported total number of homeless children and youth.
2018-2019 ALABAMA 118 655 SEA, LEA The total number of HCY reported at the LEA level is equal to or less than the total number of HCY reported at the SEA level in Category Set A (Student Count by Age/Grade).
2017-2018 ALABAMA 118 655 SEA, LEA Alabama counts only include students identified as homeless at the end of the year.
2017-2018 ALABAMA 118 655 SEA, LEA More students were reported by primary nightime residence than by grade. Alabama indicated that primary nighttime residence includes children who are preschool aged and not enrolled in school.
2017-2018 ALABAMA 118 655 SEA SEA-level counts may contain duplicates.
2016-2017 ALABAMA 118 655 LEA, SEA Alabama did not report FS118 in line with the file specification requirements in the following ways: (1) SEA and LEA counts are not cumulative and (2) homeless enrolled students are not reported in every LEA they enroll in during the reporting year.
2016-2017 ALABAMA 118 655 LEA, SEA Alabama reported that their unaccompanied homeless youth data have increased due to training on eligibility and identification.
2013-2014 ALABAMA 118 655 LEA, SEA Partial data: Data on subgroups of homeless students includes only those LEAs that received a subgrant.
2018-2019 ARIZONA 118 655 LEA, SEA The total number of homeless children and youth changed by more than 10% between SY2017-18 and SY2018-19. In the last several years LEAs have experienced high attrition rates with Liaisons. Continuous professional development is provided to support the identification of McKinney Vento students and the data quality and accuracy.
2018-2019 ARIZONA 118 655 LEA, SEA The sum of homeless children and youth by primary nighttime residence type does not equal the reported total number of homeless children and youth. Arizona allows LEAs to enter "Missing" for Category Set B (Student Count by Homeless Primary Nighttime Residence). In the last several years LEAs have experienced high attrition rates with Liaisons. Continuous professional development is provided to support the identification of McKinney Vento students and the data quality and accuracy.
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