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Polk County, TN

Why SHE Matters in Polk County, TN

Part of the Chattanooga, TN–GA labor market.

A woman assembling a drone at a workbench — licensed illustration, not a person in the BLS count. Polk County, Tennessee.
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Photo: This is Engineering / Unsplash

27,911 Latina software developers in the entire United States

That is the national number. Here is what it means where you are.

The labor market you can reach

The Census places Polk County in the Chattanooga, TN–GA commuting zone — the federal measure of where people who live here actually work. Technical roles cluster in that wider area, not necessarily inside the county line.

Where technical work sits here

Polk County has a mixed economy with no single dominant sector, which usually means a wider spread of smaller employers and more entry through IT support and systems roles than through any one industry.

What they report

"Latinas make up roughly 8% of the STEM workforce."

— the figure that appears in nonprofit annual reports, foundation grant applications, corporate diversity disclosures and federal program summaries.

It is not a fabricated number. It is a real count of a category that was drawn to include things that are not the same job.

What our research shows

We went to the source the aggregate is built from — the Bureau of Labor Statistics Current Population Survey, which publishes every occupation separately instead of pooling them — and read the technical occupations one at a time.

OccupationLatina share
Preschool & kindergarten teachers counted as STEM18.2%
Elementary & middle school teachers counted as STEM10.1%
Computer support specialists2.7%
Civil engineers2.7%
Industrial engineers2.6%
Mechanical engineers1.2%
Software developers1.2%
Electrical & electronics engineers1.1%

The occupations at the top of that table are the ones inflating the headline. The occupations at the bottom are the ones the headline is used to describe.

How the two numbers are made

There is no statutory definition of a STEM job. Each organisation picks a boundary, and the broadest boundaries include K-12 teaching and computer support — the two categories with the highest Latina representation and the lowest pay in the whole set. Drawing the line there does this to the arithmetic:

Where the boundary is drawnJobs countedLatina
Technical and engineering work only5,159,0001.99%
…with K-12 teaching added9,314,0006.18%

Adding teachers puts 4,155,000 more jobs into the denominator and triples the reported share. A single definitional choice moves the number from 2.0% to 6.2%, and the 8% figure sits in that range.

The claim survives only because of what was folded in. Preschool teaching is real work and it is badly underpaid — but it is not data engineering, it is not software development, and a report that counts them together is describing a workforce that does not exist. Strip the adjacent categories out and Latina representation in work that pays technical wages is 1.99%, against a Hispanic labor-force share near 19%.

That is a gap of roughly nine to one, and it does not appear in any annual report we could find.

What actually moves it

Fund the pathwayStart at 16

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En español

Hay aproximadamente 27,911 latinas trabajando como desarrolladoras de software en todo Estados Unidos — de 2,254,000 personas en esa ocupación. Las latinas son alrededor del 1.2% de esa profesión, mientras que los hispanos representan casi el 19% de la fuerza laboral del país.

Cuando una organización dice "latinas en STEM" e informa un número mucho más alto, generalmente está incluyendo maestras de preescolar y soporte técnico. Ese trabajo es real y está mal pagado — pero no es ingeniería de datos.

El dinero federal para entrenamiento ya existe: busque su oficina local.

Source. U.S. Bureau of Labor Statistics, Current Population Survey, Table 11: Employed people by detailed occupation, sex, race, and Hispanic or Latino ethnicity, 2025 annual averages. BLS publishes percent women and percent Hispanic as separate columns. The Latina figure multiplies them, which assumes the two are independent — the true intersection is likely lower in high-wage technical roles, where both gaps compound. We publish the method so you can check the arithmetic.

Photographs on this campaign are licensed stock used as illustration — not portraits of people in the BLS counts. Full credits: CREDITS.md.