This dataset contains yearly certified enrollment for all public school districts (with physical boundaries) in Wisconsin for the 2023-2024 school year. This data is also available in the WISEdash Public Portal. This dataset is derived from publicly available files on the WISEdash Download Page. Enrollment Count is the number of students enrolled on specific dates as determined by school enrollment/exit dates that cover those dates. Percent Enrollment by Student Group is a percent of the enrollment count for all student groups combined. Reporting Disability is indicated in the pupil’s individualized education program (IEP) or individualized service plan (ISP). A person's race or ethnicity is the racial and/or ethnic group to which the person belongs or with which he or she most identifies. Ethnicity is self-reported as either Hispanic/Not Hispanic. Race is self-reported as any of the following 5 categories: Asian, American Indian or Alaskan Native, Black or African American, Native Hawaiian or other Pacific Islander, or White. The data displayed reflects the race/ethnicity that is reported by school districts to DPI.An economically disadvantaged student is one who is identified by Direct Certification (only if participating in the National School Lunch Program) OR a member of a household that meets the income eligibility guidelines for free or reduced-price meals (less than or equal to 185 percent of Federal Poverty Guidelines) under the National School Lunch Program (NSLP) OR identified by an alternate mechanism, such as the alternate household income form.English Learner status is any student whose first language, or whose parents' or guardians' first language, is not English and whose level of English proficiency requires specially designed instruction, either in English or in the first language or both, in order for the student to fully benefit from classroom instruction and to be successful in attaining the state's high academic standards expected of all students at their grade level.

Enrollment is a head count of all students receiving their primary PK-12 educational services through Wisconsin public schools. This map is in a series of maps that show enrollments by district for a particular student group (demographic) for all school years since the 2008-2009 school year. The most recent school year's enrollment data is typically released in March. Additional enrollment data are available for the public to view on the WISEdash Public Portal. Enrollment data is sourced from the WISEdata system. Enrollment Count is the number of students enrolled on specific dates as determined by school enrollment/exit dates that cover those dates. Percent Enrollment by Student Group is a percent of the enrollment count for all student groups combined. DPI collects data to meet all required school, district, state, and federal reporting mandates, e.g., Every Student Succeeds Act (ESSA), Individuals with Disabilities Education Act (IDEA), and Title II Higher Education Act. These data inform education research and data analysis. Multiple teams from IT and content areas work together at DPI to build tools for data collection, to support districts in data collection, and to report on and facilitate the use of data based on federal and state reporting mandates. Through the DPI dashboard and reporting tools, DPI staff, teachers, administrators, parents, and researchers are better able to understand and improve educational outcomes for Wisconsin students.A person's race or ethnicity is the racial and/or ethnic group to which the person belongs or with which he or she most identifies. Ethnicity is self-reported as either Hispanic/Not Hispanic. Race is self-reported as any of the following 5 categories: Asian, American Indian or Alaskan Native, Black or African American, Native Hawaiian or other Pacific Islander, or White. The data displayed reflects the race/ethnicity that is reported by school districts to DPI.An economically disadvantaged student is one who is identified by Direct Certification (only if participating in the National School Lunch Program) OR a member of a household that meets the income eligibility guidelines for free or reduced-price meals (less than or equal to 185 percent of Federal Poverty Guidelines) under the National School Lunch Program (NSLP) OR identified by an alternate mechanism, such as the alternate household income form.English Learner status is any student whose first language, or whose parents' or guardians' first language, is not English and whose level of English proficiency requires specially designed instruction, either in English or in the first language or both, in order for the student to fully benefit from classroom instruction and to be successful in attaining the state's high academic standards expected of all students at their grade level.

Historical Dataset of Wisconsin is provided by PublicSchoolReview and contain statistics on metrics:Trends in the Average Number of Students Per Public School,Trends in the Average Number of Teachers Per Public School,Student-Teacher Ratio Trends (1990-2023),Percentage of Public School Students of American Indian Trends,Asian Student Percentage Trends,Hispanic Student Percentage Trends,Black Student Percentage Trends,White Student Percentage Trends,Two or More Races Student Percentage Trends,Diversity Score Trends,Free Lunch Eligibility Trends,Reduced-Price Lunch Eligibility Trends,Median Total Revenues Trends,Median Total Expenditures Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends

Historical Dataset of Green Bay Area Public School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

Big Apple Connect enrollment for each of the eligible NYCHA Developments.

Historical Dataset of Hudson School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1993-2007),Asian Student Percentage Comparison Over Years (1993-2023),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (2003-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

The Wisconsin Department of Public Instruction (DPI) issues joint accountability reports to all local education agencies under the two major federal education laws: the Every Student Succeeds Act (ESSA) and the Individuals with Disabilities Education Act (IDEA). The purpose of issuing the two laws' accountability reports jointly is to help local education agencies (LEAs) inform and make continuous improvement efforts more streamlined across a district. ESSAThe intention of ESSA and Wisconsin’s state plan under ESSA is to close achievement gaps. Specifically, Wisconsin's long-term goal is to cut the achievement gap in half in six years (2018–2024). Helping all groups of students succeed is central to the federal accountability system. The federal ESSA accountability system is designed as a means of identifying the lowest performing schools in the state — those most in need of support.There are three types of school identification under ESSA:Comprehensive Support & Improvement (CSI): Schools identified for Comprehensive Support have overall performance (summary score) in the Wisconsin Department of Public Instruction Informational Bulletin 2 bottom 5% of the state and/or they have a graduation rate below 67%. CSI schools are identified every three years, starting in 2018-19. Targeted Support & Improvement (TSI): Schools identified for Targeted Support have performance of one or more student groups that is in the bottom 10% of the state. This identification allows for particular focus on improving outcomes for specific groups of students in a school. Additional Targeted Support & Improvement (ATSI): Schools identified for Additional Targeted Support have performance of one or more student groups that is in the bottom 5% of the state. This identification allows for particular focus on improving outcomes for specific groups of students in a school. ATSI schools are identified every three years, starting in 2018-19.IDEAThe intention of the Individuals with Disabilities Education Act (IDEA) is to provide students with disabilities a free appropriate public education. IDEA provides rights and protections to children with disabilities and their parents/guardians. IDEA requires the Department of Public Instruction to determine annually if each local educational agency (LEA) meets the requirements of IDEA Part B, and if not, whether the LEA needs assistance, intervention, or substantial intervention to meet those requirements. IDEA also requires the Department of Public Instruction to identify districts whose data indicate significant racial or ethnic disproportionality in identification, placement, and/or discipline of students with disabilities. Nationally, children of color are identified as students with disabilities at substantially higher rates than their peers. All children who require special education services should be appropriately identified and supported. At the same time, no child should be inappropriately identified for special education services, segregated from his or her peers, or disciplined more frequently or harshly simply because they are a student of color with a disability (U.S. Department of Education, 2016).The categories for determinations are: "meets requirements," "needs assistance," "needs intervention," and "needs substantial intervention." LEAs that "need assistance" or "need intervention" may not reduce their maintenance of effort obligations, unless the reduction is by less than half of the increased amount (the "50% Adjustment rule). LEAs that "need assistance" for two or more years will be asked to engage in continuous improvement that includes a goal related to the data in the determination. LEAs that "need intervention" will be supported through continuous improvement per the direction of DPI.

Historical Dataset of Stevens Point Area Public School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1988-2010),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

Historical Dataset of Franklin Public School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1990-2014),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Comparison of Students By Grade Trends

DEFINITION:Tax Law POINT is a generalized point representation of lands enrolled in the Managed Forest and Forest Crop Law Programs, collectively referred to as Tax Law Layers. Points are located at the center point of each 40-acre quarter-quarter section in which land is enrolled. Points do not identify specific enrollment location. Acreage enrolled from fractional or government lots are located either to the most approximate QQ, Q or S as possible. (Enrolled parcels are represented by the PLSS shape they lie within; however, the actual size of the enrolled property may be as small as 0.1 acres). The GIS layer was last updated March 5, 2025 to reflect conditions as of January 1, 2025. Corrections are made to the data throughout the year that may not be reflected in this snapshot.FEATURE TYPE(S):PointGEOGRAPHIC EXTENT:StatewideSOURCE SCALE:VariedPROJECTION:Wisconsin Transverse Mercator NAD 1983/1991 (WTM83/91)WKID: 3071PURPOSE/BACKGROUND:Wisconsin’s forest tax laws encourage sustainable forest management on private lands by providing a property tax incentive to landowners. Both the Managed Forest Law (MFL) and Forest Crop Law (FCL) encourage proper management of woodlands not only in their purposes and policies, but through a written management plan for a landowner’s property. The management plan incorporates landowner objectives, timber management, wildlife management, water quality and the environment as a whole to create healthy and productive forest. In exchange for following a written management plan and program rules, landowners pay forest tax law program rates in lieu of regular property taxes.FCL lands are open to the public for the following activities: hunting and fishing.MFL lands enrolled as open are open to the public for the following activities: hunting, fishing, hiking, sight-seeing, and cross-country skiing.Additional rules regarding public access may be reviewed here: https://dnr.wisconsin.gov/topic/forestlandowners/mflThe GIS feature class was created to be used in the Open Private Forest Lands web mapping application (Private Forest Lands Open to Public Recreation).Open Private Forest Lands (OPFL) Project Background:Provide a simple GIS web mapping application to display the approximate representations of over 1.3 million acres of Forest Tax Law lands (Managed Forest and Forest Crop Law) open to the public for hunting, hiking, fishing, cross-country skiing, and sightseeing. Display information to allow the public to access the lands without spending a lot of time cross checking plat books or contacting local county offices or the county Land Information Offices.Update Frequency:Semi-Annual (January, September). Edits to Tax Law entries can occur throughout the year, but most changes are not effective until January 1 except for landowner information. Landowner information edits are updated in the spatial views on a weekly basis. In addition, Forestry will re-generate taxlaw shapes as significant improvements to the data are completed. In January of each year, the feature class is re-generated to reflect new entries, changes to access, etc. effective January 1. January update: Update to reflect enrollments as of January.September update: Pre-hunting season update.The GIS layer was last updated March 5, 2025 to reflect conditions as of January 1, 2025. Corrections are made to the data throughout the year that may not be reflected in this snapshot.ATTRIBUTES:Field Descriptions:ORDER_NO: (c, 12) The Forestry property code of the feature. (Use as join field for if linking to landowner table information.)Format: 2-digit cnty – 3 digit seq no – 4 digit year of entryEx. 11-234-2013DNR_CTY_NO: (n, 2) The 2-digit DNR county code representing the predominant county in which the DTRSQQ falls.Format: Numbers, No commasEx: 37 (Marathon County)CNTY_NAME: (T, 11) County name of the predominant county in which the DTRSQQ falls.Ex: MarathonENTRY_YEAR: (t, 4) The year in which the order number was entered into the taxlaw program.Format: YYYYEx: 1999TAX_TYPE: (t, 3) Indicates whether the polygon is enrolled in MFL or FCL.Format: ALL CAPSPossible Values:MFL: Managed Forest LawFCL: Forest Crop LawAC_OP_PLS: (double) Acres, associated to the identified order number, that are enrolled in the identified PLSS as open. Additional polygons (DTRSQQ records) may contain additional acreage for the associated order number (see AC_OP_ORD for total open acreage associated with this order number). NOTE: This is not the total number of acres open with this DTRSQQ record. Any other order numbers with acreage in this DTRSQQ are identified in separate records by order number.AC_CL_PLS: (double) Acres, associated to the identified order number, that are enrolled in the identified PLSS as closed. Additional polygons (DTRSQQ records) may contain additional acreage for the associated order number (see AC_CL_ORD for total closed acreage associated with this order number). NOTE: This is not the total number of acres closed with this DTRSQQ record. Any other order numbers with acreage in this DTRSQQ are identified in separate records by order number.AC_TOT_PLS: (double) Total acres, associated to the identified order number, that are enrolled in the identified PLSS. Additional polygons (DTRSQQ records) may contain additional acreage for the associated order number (see AC_TOT_ORD for total acreage associated with this order number). NOTE: This is not the total number of acres enrolled within this DTRSQQ record. Any other order numbers with acreage in this DTRSQQ are identified in separate records by order number.ORDER_YRS: (t, 2) Total number of years the order will be enrolled in the program (under the associated order number). Format: Plan or order lengths are either 25 or 50 yearsEx: 50ORDER_EXP: (t, 20) Date that order number expires. All orders end on December 31. Format: December 31, YYYYEx: December 31, 2015OWNER_TEXT: (t, 30) Type of ownership. Ownership could be: Individual, Joint, Corporation, LLC, Partnership, LLP, Trust, etc.ACCNT_TYPE: (t, 1) Type of account.Possible Values:S: Small Account – landowners generally have less than 1,000 acres of forest land and the accounts are managed by DNR field foresters.L: Large Account – landowners generally have 1,000 acres or more of forest land and the accounts are managed by DNR Forest TaxAC_OP_ORD: (double) Total open acreage associated with the order number. AC_CL_ORD: (double) Total closed acreage associated with the order number.AC_TOT_ORD: (double) Total acreage associated with the order number.DTRSQQ_CO: (long) A concatenation of direction, township, range, section, quarter section, and quarter-quarter section used to approximate the location of the order number (or part of the order number). Each order number has separate records for each DTRSQQ where the order number resides. (Data source: 24K Landnet Spatial Database Technical Documentation)Format:1st Digit = Direction2nd & 3rd Digits = Township4th & 5th Digits = Range6th & 7th Digits = Section8th Digit = Quarter9th Digit = Quarter-QuarterEx: 441012812LEGAL_D_CO: (t, 5) Code describing legal description identified by order number.Format: 1st character:Blank = Entire (Govt Lot)D = Entire (PLSS)P = Part ofE = Entire Excluding ROW2nd character:L = Govt LotBlank = PLSSCharacters 3-5:If PLSS, 001-016 are StandardIf PLSS, 017-060 are FractionalIf Govt Lot, this is the Govt Lot #Ex: PL003LEGAL_DESC: (t, 100) Translated legal description code. Ex: GOV LOT 3, PART OFDTRSLD_TXT: (t, 2380) Field generated to convert DTRSQQ and legal description codes to a text description of the PLSS where the enrollment is located. Includes a note indicating if a record includes a fractional correction.Ex: T02-R01W-S05, Part of the NE of the NW (fractional correction)PARCEL_NO: (t, 255) County created parcel number. (Parcel level information not yet available for all records.)Format: Varies by countyEx: 07-04-59MCD_NAME: (t, 50) Municipal Civil Division (MCD) name.Ex: Solon SpringsMCD_TYPE_C: (t, 1) Type of Municipal Civil Division (MCD). Format: ALL CAPSPossible Values:T: TownV: VillageC: CityPLSS_LEVEL: (t, 2) PLSS level to which the record is located. Format: ALL CAPSPossible Values:QQ: Quarter-quarterQ: QuarterS: SectionCHNG_BY: (c, 30) The user who last updated the record.Ex: klauscCHNG_DATE: (date) Date the record was last changed.Format: MM/DD/YYYY Ex: 10/23/2012ACCESS: (t, 1) Indicates whether the quarter-quarter contains areas which are open to the public, closed to the public, or both.Format: ALL CAPSPossible Values:O: QQ contains areas that are Open to the publicC: QQ contains areas that are Closed to the publicB: QQ contains Both open and closed areas.ADDITIONAL INFORMATION:Tax law programs: https://dnr.wisconsin.gov/topic/forestlandowners/mflWeb mapping application: https://dnr.wisconsin.gov/topic/forestlandowners/opentopublicappCONTACT PERSON(S):GIS contact: Laura Waddle - GIS Specialist, (608) 320-4648, Laura.Waddle@wisconsin.govResource contact: <>R.J. Wickham - Tax Law Section Chief, (920) 369-6248, Richard.Wickham@wisconsin.govCOPYRIGHT:The material is for the noncommercial use of the general public. The fair use guidelines of the U.S. copyright statutes apply to all material on the Department of Natural Resources Webpages and linked agency Webpages. The Department of Natural Resources shall remain the sole and exclusive owner of all rights, title and interest in and to all specifically copyrighted information created and posted for inclusion in this system. Photographs and graphics on the Department website are either the property of the state department or the state agency that holds a license to use and display the material. For copy or use of information on the Department website that is outside of the fair use provisions of copyright law, please seek permission from the individual listed as responsible for the page. If you have any questions on using material on the Department web pages please e-mail the specific

Historical Dataset of Wisconsin Connections Academy is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2013-2023),Total Classroom Teachers Trends Over Years (2012-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2012-2023),American Indian Student Percentage Comparison Over Years (2012-2023),Asian Student Percentage Comparison Over Years (2013-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2013-2023),Two or More Races Student Percentage Comparison Over Years (2016-2023),Diversity Score Comparison Over Years (2013-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2012-2023),Reading and Language Arts Proficiency Comparison Over Years (2012-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)

This dataset tracks annual white student percentage from 1991 to 2023 for Lincoln Middle School vs. Wisconsin and Kenosha School District

This dataset tracks annual black student percentage from 1991 to 2023 for Lincoln Middle School vs. Wisconsin and Kenosha School District

Historical Dataset of Spencer School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1989-2013),Asian Student Percentage Comparison Over Years (2021-2023),Hispanic Student Percentage Comparison Over Years (2001-2023),Black Student Percentage Comparison Over Years (1992-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Lincoln Middle School vs. Wisconsin and Kenosha School District

Historical Dataset of Medford Area Public School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2000-2023),Asian Student Percentage Comparison Over Years (1995-2023),Hispanic Student Percentage Comparison Over Years (2003-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

Historical Dataset of Glendale-River Hills School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2003-2021),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

Historical Dataset of Oshkosh Area School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1989-2010),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

Historical Dataset of Prairie Farm Public School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1995-2014),Asian Student Percentage Comparison Over Years (2000-2010),Hispanic Student Percentage Comparison Over Years (1989-2023),Black Student Percentage Comparison Over Years (1996-2018),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Comparison of Students By Grade Trends

Historical Dataset of Cudahy School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends