The earnings of a PCN can vary significantly depending on location and other factors, with some of the highest salaries reaching nearly $60,000 annually in specific metropolitan areas. While a precise national average hourly rate for December 2024 isn't provided within the specific information, data for top-paying cities offers a clear insight into potential earnings.
Salary Overview for PCNs
PCN salaries are highly influenced by the cost of living and demand in different regions. For instance, areas in California, particularly the Bay Area, show some of the highest compensation for PCN roles.
Top-Paying Cities for PCN Jobs
Below is a breakdown of annual and weekly salaries for PCNs in some of the highest-paying cities, illustrating the significant earning potential in specific locations:
| City | Annual Salary | Weekly Pay |
|---|---|---|
| Sunnyvale, CA | $59,892 | $1,151 |
| Livermore, CA | $59,859 | $1,151 |
| San Jose, CA | $59,808 | $1,150 |
| Daly City, CA | $59,129 | $1,137 |
As the table demonstrates, PCNs in cities like Sunnyvale, CA, can earn close to $60,000 per year, translating to over $1,100 in weekly pay. These figures highlight specific high-earning opportunities within the field.
Factors Influencing PCN Salaries
Beyond geographical location, several other elements can impact how much a PCN makes:
- Experience Level: More experienced PCNs often command higher salaries due to their proven skills and expertise.
- Employer Type: The type of healthcare facility (e.g., large hospital system, private clinic, specialized care center) can influence salary scales.
- Specific Responsibilities: The exact duties and level of responsibility within the PCN role can also affect compensation.
- Industry Demand: High demand for PCNs in certain areas or specializations can drive up salaries.
While the provided data focuses on top-paying cities, it's important to understand that salaries can fluctuate widely across the United States. Prospective PCNs should research average salaries in their specific target regions to get a more accurate picture of expected earnings.
