Guidelines_how_to_conduct_distressed_area_analysis[1].pptx
PPTX presentation 3 MB Posted
- Attached to
- APEX Accelerator-Open Announcement for Idaho
- Opportunity number
- DOD2026APEXACCELERATORIDAHO
- Issued by
-
Department of Defense
About this file
This file is a PowerPoint presentation providing guidelines for conducting a Distressed Area Analysis for the APEX Program. The document details specific methodologies for determining whether an area qualifies as "distressed" based on two key criteria: per capita income at 80% or less of the state average, or an unemployment rate 1% higher than the national average over a 24-month period. The analysis requires documentation from the US Department of Commerce's Bureau of Economic Analysis and the Department of Labor's Bureau of Labor Statistics to verify these metrics.
The presentation outlines step-by-step instructions for gathering and analyzing data, including how to retrieve per capita income statistics using the BEA Interactive Data Application and unemployment rates from the Bureau of Labor Statistics databases. The purpose of this analysis is directly linked to a funding opportunity where the Department of Defense may increase its cost share from 65% to 85% for procurement technical assistance centers (PTACs) operating in confirmed distressed areas. Applicants must include verified documentation of distressed service areas in their grant applications, making this guide a critical resource for potential APEX Accelerator grant recipients.
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APEX Program Distressed Area Analysis Version Number As of 11 September 2024
UNCLASSIFIED//FOUO
Distressed Area Funding The DoD share of costs is limited to 65%, except in the case that the PTAC is providing services in a “distressed area”, where the DoD share is limited to 85% (10 U.S.C. 4954).
The term “distressed area” means an area that has – a per capita income of 80% or less than the State average; or an unemployment rate that is 1% greater than the national average for the most recent 24-month period (10 U.S.C. 4951).
Funding Opportunity requires that your application include documentation verifying distressed service area(s), if applicable.
US Department of Commerce, Bureau of Economic Analysis (www.bea.gov) for income data.
Department of Labor, Bureau of Labor Statistics (https://data.bls.gov/PDQWeb/la) for unemployment data.
Per Capita Income
Use table CA1 available at - BEA Interactive Data Application to retrieve “per capita personal income” statistics for the most recent year available.
Step 1 – Select table Personal Income by County and Metropolitan Area Step 2 – Select CAINC1 County and MSA personal income Summary; personal income, population, per capita personal income Step 3 – Select County
Step 4 – Select your State Step 5 – Choose your county or counties and make other selections
Select your area (counties)
Select statistic “Per capita personal income (dollars)” Select unit of measure “Percent of state”
Step 6 – Select the most recent year available and click “Next Step” Step 7 – Provide a copy of your analysis and clearly state your results.
Unemployment Data
Use the Databases, Tables & Calculators by Subject available at https://www.bls.gov/data/ to retrieve data to determine the national employment rate and the unemployment rates for counties and equivalents.
National Unemployment Rate Local Area Unemployment Rate
Step 1 - Use the Local Area Unemployment Statistics database available at https://data.bls.gov. Under the Unemployment, Local Area Unemployment Statistics click on the “One Screen” icon to retrieve “not seasonally adjusted” unemployment rates for counties and equivalents.
Step 2 - Use the National Unemployment Statistics database available at https://data.bls.gov Under the Unemployment, Labor Force Statistics including the national unemployment rate click on the “One Screen” icon to retrieve the national unemployment rate. Select “Not Seasonally Adjusted” and “Monthly”.
Step 3 – Determine the most recent 24-month period for which both national and local area statistics are available.
- Exclude Annual and Preliminary data from your analysis.
- In this example, the most recent 24-month period is August 2009 through July 2011.
Step 4 – Compare national and county data
Step 5 – Provide a copy of your analysis and clearly state your results.
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