20260318
13341500
1.0
FALSE
002
MOWR_Benchmark_Data_All
625000
5000
20221013
14501600
20250722
10132500
ItemDescription
dataset
20250722
File Geodatabase Table
Maricopa Association of Governments (MAG), Read On Arizona, Arizona Department of Education (ADE)
education
schools
literacy
reading
language
testing
assessments
achievement
benchmark
MOWR
statewide
Arizona
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data may be used only by the licensee and only for the non-commercial purposes stated in such licensee's request. Data is provided on an "as is" basis, with no warranties, express or implied, including, but not limited to, any warranties of accuracy, merchantability or fitness for a particular purpose. The licensee shall be solely responsible, and MAG shall have no liability, for the accuracy, selection, installation, use, efficiency and suitability of any data or documentation provided to licensee by MAG. In no event shall MAG be liable to the licensee for any damages arising from or related to any use or loss of the data. The licensee is advised to use the data with caution and to independently verify accuracy. For information regarding commercial use of the data, see Arizona Revised Statutes section 39-121.03.</SPAN></P></DIV></DIV></DIV>
MOWR Benchmark Data All
These benchmark data are literacy assessment data. Move On When Reading (MOWR) schools are required to submit current literacy assessment data on the reading proficiency of all students in grades K-3. This benchmark data is submitted to ADE by October 1st, February 1st, and June 1st every year. The data are created to serve as base information for use in GIS systems for a variety of planning and analysis purposes. These data do not represent a legal record.
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Arizona’s Move on When Reading (MOWR) legislation is designed to provide students with evidence-based reading instruction in kindergarten through third grade in order to position them for success as they progress through school, college, and the workforce. The heart of the legislation focuses on early identification and intervention for struggling readers, especially in kindergarten through second grade. The literacy initiative focus is to improve the foundational literacy achievement of K-3rd grade students via early intervention and prevention of reading difficulties.</SPAN></SPAN></P><P><SPAN><SPAN>Schools create and implement literacy plans to strategically identify and address the specific literacy needs of their students. School districts and charters with a letter grade of A or B are only required to submit literacy plans and benchmark literacy assessment data during odd-numbered school years. All school districts and charters with letter grades of C, D, or F, or without a letter grade, must submit K-3 literacy plans and benchmark literacy assessment data every year. </SPAN></SPAN><SPAN>This benchmark data is submitted to ADE by October 1st, February 1st, and June 1st every year.</SPAN></P><P><SPAN>For more information: </SPAN><A href="https://www.azed.gov:443/mowr" STYLE="text-decoration:underline;"><SPAN>https://www.azed.gov/mowr</SPAN></A></P><UL><LI><P><SPAN>FY-2015 - Fall, Winter, Spring & STATE, SCH</SPAN></P></LI><LI><P><SPAN>FY-2016 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2017 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2018 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2019 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2020 - Fall, Winter & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2021 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2022 - None</SPAN></P></LI><LI><P><SPAN>FY-2023 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI><LI><P><SPAN>FY-2024 - Fall, Winter, Spring & STATE, COUNTY, LEA, SCH</SPAN></P></LI></UL><P><SPAN>Updated: 07/21/2025</SPAN></P></DIV></DIV></DIV>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
MOWR_Benchmark_Data_All
Table
92680
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FiscalYear
FiscalYear
SmallInteger
2
0
0
SchoolYear
SchoolYear
String
9
0
0
EntityID
EntityID
Double
8
0
0
CountyEntityID
CountyEntityID
Double
8
0
0
DistrictEntityID
DistrictEntityID
Double
8
0
0
SchoolEntityID
SchoolEntityID
Double
8
0
0
CountyName
CountyName
String
25
0
0
DistrictName
DistrictName
String
100
0
0
SchoolName
SchoolName
String
100
0
0
DataSource
DataSource
String
25
0
0
ReportType
ReportType
String
5
0
0
Instrument
Instrument
String
75
0
0
AssessmentTool
AssessmentTool
String
75
0
0
SubmissionID
SubmissionID
Double
8
0
0
LEASubmissionStatus
LEASubmissionStatus
String
50
0
0
SchoolSubmissionStatus
SchoolSubmissionStatus
String
50
0
0
Grade
Grade
String
3
0
0
GradeID
GradeID
SmallInteger
2
0
0
GradeName
GradeName
String
12
0
0
CalendarLabel
CalendarLabel
String
75
0
0
Calendar
Calendar
String
12
0
0
Quarter
Quarter
String
10
0
0
TOTAL_TESTED
TOTAL_TESTED
Double
8
0
0
AT_BENCHMARK
AT_BENCHMARK
Double
8
0
0
APPR_BENCHMARK
APPR_BENCHMARK
Double
8
0
0
AT_RISK_BENCHMARK
AT_RISK_BENCHMARK
Double
8
0
0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