Implementing a Change in Poverty Data Analysis
Discover the impact of implementing HB 2098 in 2013, which changed the source of poverty data and calculations within school districts. Learn about the reasons behind this change, the outcomes observed, and the implications for funding allocation. Explore the mechanics of the State School Fund Formula to understand how shifts in data affected funding distribution among districts.
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Presentation Transcript
Implementing a Change in the Poverty Data Brian Reeder, Assistant Superintendent Michael Elliott, State School Fund Coordinator April 24, 2014
Introduction What was implemented? Why it was implemented? What happened? Why this happened? What was learned?
What was implemented? HB 2098 passed in 2013 New Source of Poverty data Moved from 2000 Census data to new federal Small Area Income Poverty Estimate data Moved from two poverty calculations to one poverty calculation
Why was this implemented? Districts over 2,500 ADMw were using out-of-date data Smaller districts were using problematic data Recent poverty severity changes being overlooked
What happened New source of data resulted in a net increase in the number of students considered to be in poverty Some districts saw increases in their poverty counts, and some saw decreases Winners and Losers: 80 districts saw relative increase in funding 117 saw relative decrease in funding 54.5% of state-wide ADMw saw funding increase 45.5% of state-wide ADMw saw funding decrease
Why did this happen? Need to review the mechanics of the State School Fund to fully understand how changing the poverty formula caused winners and losers.
State School Fund Mechanics State School Fund Formula at equilibrium: Total Funding = Funding Per Weight Total Weights
State School Fund Mechanics Additional funding no additional weights: Higher Total Funding Higher Funding Per Weight = Same Total Weights
State School Fund Mechanics Additional weights, but no additional funding: Same Total Funding Lower Funding Per Weight = More Total Weights
Poverty Funding Mechanics No additional funding provided for poverty Result: Less funding per weight Estimated funding for 2014-15 per weight before change: $6,818 Estimated funding for 2014-15 per weight after change: $6,787 Loss per weight: ~$30 The data change does not mean more poverty it means a more accurate count of the number of students in poverty NOTE: Current estimated funding per weight for 2014-15: $6,866
Poverty Funding Mechanics Districts gained relative funding if they had an above-average change in their ADMw Districts lost relative funding if they had a below-average change in ADMw The largest percent increase in funding was Joseph SD at 6.5% The largest percent decrease in funding was Juntura at -2.1%
Implementation Lessons Data changes that affect districts differently will create winners and losers Need universally understood reason to change the formula or to change data sources Need to involve stakeholders early Need to outreach Change needs to be impartial Changes that improve the equity of the funding formula for the state as a whole can create winners and losers at the district level
