Understanding the Boundary Classification

This spatial boundary map displays the immediate healthcare reality if Title X sub-grants are eliminated. Areas are filled based on the availability of other publicly supported contraceptive providers (e.g. FQHCs, local health departments, hospital outpatient clinics).

Critical: 100% loss of public options Moderate: Clinical capacity reduction Secure: Stable alternatives persist Desert: No active public clinics

Aggregate Exposures

... Counties

Critical Risk (No public options left)

... Counties

Moderate Risk (Losing some options)

County Boundary Map Visualization

Initializing boundaries...

Mapping County Boundaries... Downloading unified geographic structures for Southeast states (~3.0 MB)

Boundary Legend

Critical Risk (100% loss)

Moderate Risk (Partial loss)

Stable Public Access

Existing Clinic Desert

Classifications & Logic

🔴 Critical Risk (Total Loss)

Counties where Title X clinics represent 100% of the publicly funded contraceptive service ecosystem. Discontinuation leaves residents with zero public options.

🟠 Moderate Risk (Access Loss)

Counties with Title X and other public clinics. Removing Title X restricts clinic hours, location choice, and overall regional capacity, but some access remains.

🟢 Stable Public Access

Counties currently relying solely on non-Title X clinics (e.g., standard FQHCs or Local Health Departments). No immediate direct closure risks.

State Risk Exposures

Vulnerable counties (Critical & Moderate) as a share of total counties inside each state.

Total Counties Evaluated: 467 across 5 Southeast states.

Policy & Methodological Footnotes

This visual map operates on Guttmacher Registry data compiled from the Title X file verbatim. It lists 467 county subdivisions spanning Alabama, Georgia, North Carolina, South Carolina, and Tennessee.

Calculations filter state health facilities to contrast Title X-funded locations with alternative public programs. County-level boundaries are aligned through FIPS designations, with manual name corrections applied to ensure visual precision.