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education-data-source-meps

Access Model Estimates of Poverty in Schools data for standardized school-level poverty analysis.

226|35|Updated Feb 7, 2026
Search Tags:#education#data analysis#poverty#school data#MEPS#FRPL
One-click install
npx skills add https://github.com/DAAF-Contribution-Community/daaf --skill education-data-source-meps
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: education-data-source-meps
Source: https://github.com/DAAF-Contribution-Community/daaf/tree/main/.claude/skills/education-data-source-meps
Command: npx skills add https://github.com/DAAF-Contribution-Community/daaf --skill education-data-source-meps

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a standardized and reliable way to measure school poverty, overcoming the inconsistencies and limitations of traditional Free/Reduced-Price Lunch (FRPL) data, especially in the era of universal meal programs.

Core Features & Use Cases

  • Consistent Poverty Measurement: Use MEPS data for accurate comparisons of poverty across states and over time.
  • Reliable Data Source: Replaces unreliable FRPL data affected by Community Eligibility Provision (CEP) and state policy variations.
  • Use Case: When comparing poverty rates between schools in California and Texas, MEPS ensures the comparison is valid, unlike FRPL which varies significantly by state policy and CEP adoption.

Quick Start

Use the education-data-source-meps skill to get the estimated poverty percentage for schools in California for the year 2020.

Frequently Asked Questions about education-data-source-meps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why is Free/Reduced-Price Lunch data unreliable for measuring school poverty?▼

MEPS provides a statistically modeled, cross-state comparable measure of school poverty at 100% FPL, replacing inconsistent FRPL data affected by universal meal programs and CEP policies, ensuring accurate comparisons across states like California and Texas.

How do I compare school poverty rates across different states?▼

Use the Model Estimates of Poverty in Schools (MEPS) dataset for cross-state school poverty comparisons. MEPS provides standardized, statistically modeled poverty indicators at 100% FPL, overcoming state policy variations found in FRPL data.

What is the Model Estimates of Poverty in Schools dataset used for?▼

The Model Estimates of Poverty in Schools (MEPS) dataset is used for standardized school-level poverty analysis. It provides statistically modeled, cross-state comparable socioeconomic indicators for public schools to support research and policy analysis.

How do I get estimated poverty percentages for public schools?▼

Access the Model Estimates of Poverty in Schools (MEPS) dataset to get estimated poverty percentages for public schools. It leverages Urban Institute data to provide modeled poverty rates at 100% FPL for specific states and years.

Does MEPS data work for policy analysis requiring historical poverty data?▼

Yes, MEPS data works for policy analysis requiring historical poverty data. It offers a statistically modeled, cross-state comparable measure of poverty at 100% FPL that remains consistent over time, unlike FRPL data affected by policy shifts.

When should I not use FRPL data for school poverty analysis?▼

Avoid using FRPL data for school poverty analysis when comparing schools across states with varying CEP adoption or universal meal programs. These state policy variations cause significant inconsistencies, requiring a modeled alternative like MEPS.

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