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Closing the Achievement Gap: Poverty Funding Calculation Update Michael Elliott State School Fund Coordinator Oregon Department of Education

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Presentation on theme: "Closing the Achievement Gap: Poverty Funding Calculation Update Michael Elliott State School Fund Coordinator Oregon Department of Education"— Presentation transcript:

1 Closing the Achievement Gap: Poverty Funding Calculation Update Michael Elliott State School Fund Coordinator Oregon Department of Education Michael.s.elliott@state.or.us

2 Overview of Poverty Calculation Previous Calculation HB 2098 Data Set Calculations Case Study Data Runs

3 Current Data Two Sets of Data: Large districts (greater than 2,500 ADMr) ◦Census Data ◦Change in ADMr

4 Current Data Small Districts (less than 2,500 ADMr) Greater of Census Data (see Large Districts) Portion of County’s Free and Reduced Lunch count

5 Current Data Problems Accuracy Severity Changes

6 HB 2098 Rulemaking Authority Maintains 0.25 Weight

7 HB 2098: Legislative Intent Accurate Data Generally accessible and accepted data Use U.S. Census Bureau data

8 HB 2098: District Concerns No additional data collections

9 HB 2098: ODE Goals Transparency Accuracy

10 What about Free and Reduced Lunch Data? Different Definition Known underreporting Accuracy concerns

11 Small Area Income Poverty Estimate (SAIPE) U.S. Census Bureau data http://www.census.gov/did/www/saipe/ Updated annually District level data

12 SAIPE Statistical Model SNAP from U.S. Department of Agriculture IRS Data American Community Survey data

13 SAIPE Data provided: Population of district Population age 5-17 in district Population of age 5-17 in families in poverty

14 Poverty Calculation Start with SAIPE Data Total Population age 5 to 17 in school district

15 Poverty Calculation Problem: Not all children attend public schools Need accurate population in public schools

16 Poverty Calculation Solution: Use ADMr Percentage of children attending public school

17 Poverty Calculation

18 Problem: Some ADMr to SAIPE 5 to 17 ratios will be greater than 100% Charter School enrollment Inter-district transfers Open Enrollment

19 Poverty Calculation Solution: Cap ADMr to SAIPE 5 to 17 ration to 100% District gets SAIPE maximum Charter schools receive district percentage

20 Does this work? Salem Keizer: 1. SAIPE population age 5 to 17 = 45,269 2. ADMr = 37,999.07 3. SAIPE Poverty = 12,572

21 Does this work? Salem Keizer: ADMr ÷ SAIPE 37,999.07 ÷ 45,269 = 83.94% ADMr-SAIPE ratio × SAIPE Poverty 83.94% × 12,572 = 10,553.01 Change in weights = 904.66 increase

22 Does this work? DHS and OHA published report on poverty hotspots Hotspot is a high concentration of family in poverty

23 Does this work? Data Used: Oregon SNAP data Oregon Employment Data DHS client data Available at: http://www.oregon.gov/dhs/ofra/ofradocu ments/High%20Poverty%20Hotspots%20 2013.pdf http://www.oregon.gov/dhs/ofra/ofradocu ments/High%20Poverty%20Hotspots%20 2013.pdf

24

25 Does this work? SAIPE v. Free and Reduced Lunch

26 Data Sets Two data sets: 1. 2014-15 v 2014-15 Poverty Change 2. 2012-13 v 2013-14 ADMw

27 Data Sets First Data Set Compares change in poverty Change in weights Change in projected funding

28 Data Sets Second Data Set ADMw for 2012-13 compared to 2013-14 Shows extended ADMw interaction with poverty weights Extended ADMw calculation

29 Data Set #1: 3 Outcomes Outcome #1: Redmond SD 1. Poverty increased 2. Total funding increased

30 Data Set #1: 3 Outcomes Outcome #1: Redmond SD Poverty increased ◦Increase of 273.53 to 443.49 Extended ADMw increased ◦Increase of 273.53 to 8,166.64 Increase weights more than loss of $$/wt ◦Increase of $1,940,717 ◦$$/wt loss of $336,302

31 Data Set #1: 3 Outcomes Outcome #2: Bandon SD 1. Poverty decreased 2. Total funding decreased

32 Data Set #1: 3 Outcomes Outcome #2: Bandon SD Poverty decreased ◦Decrease of 14.43 to 36.77 Extended ADMw remained the same Increase weights less than loss of $/wt ◦Same weights ◦$/wt loss of $38,602.69

33 Data Set #1: 3 Outcomes Outcome #3: Corvallis SD 1. Poverty increased 2. Total funding decreased

34 Data Set #1: 3 Outcomes Outcome #3: Corvallis SD Poverty increased ◦Increase of 36.4 to 254.93 Extended ADMw increased ◦Increase of 0.43 to 7,128.17 Increase weights less than loss of $/wt ◦Increase of $3,049 ◦$/wt loss of $293,965

35 Data Set #1: 3 Outcomes Outcome #3: Corvallis Breakdown extended ADMw: 1. Greater ADMw between 2013-14 and 2012-13 2. Charter school ADMw counted separate

36 Data Set #1: 3 Outcomes Outcome #3: Corvallis Extended ADMw Non-charter ADMw Difference: 160.20 School2012-13 ADMw 2013-14 ADMw Extended ADMw Non-Charter7,021.406,861.207,021.40 Muddy Creek97.03106.35 TOTAL7,127.74

37 Data Set #1: 3 Outcomes Outcome #3: Corvallis Extended ADMw 2013-14 ADMw has to increase by more than 160.2 to affect funding level

38 Summary 1. HB 2098: more accurate and up-to-date 2. SAIPE: district level with annual updates 3. Calculation: (ADMr/SAIPE Pop)* SAIPE Poverty 4. 3 outcomes 5. Next Steps

39 QUESTIONS?


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