# All Employees: Government — Hilton Head Island-Bluffton-Port Royal, SC (NSA)

All Employees: Government — Hilton Head Island-Bluffton-Port Royal, SC (NSA) was up 1.6% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 13.10 thousands.
Over the past ten years it has ranged from −4.2% (Feb 2021) to 7.1% (Jan 2023), averaging 1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25940.PAYEMS.M.NSA.IND-90000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-government-hilton-head-island-bluffton-port-royal-sc-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 13.10 thousands | 1.6 |
| August 2026 | 13.10 thousands | 1.6 |
| July 2026 | 12.80 thousands | 1.6 |
| June 2026 | 12.80 thousands | 1.6 |
| May 2026 | 13.00 thousands | 2.4 |
| April 2026 | 13.00 thousands | 2.4 |
| March 2026 | 13.10 thousands | 1.6 |
| February 2026 | 13.10 thousands | 1.6 |
| January 2026 | 12.80 thousands | 1.6 |
| December 2025 | 13.00 thousands | 4.0 |
| November 2025 | 12.90 thousands | 2.4 |
| October 2025 | 12.90 thousands | 2.4 |
| September 2025 | 12.90 thousands | 2.4 |
| August 2025 | 12.90 thousands | 2.4 |
| July 2025 | 12.60 thousands | 2.4 |
| June 2025 | 12.60 thousands | 1.6 |
| May 2025 | 12.70 thousands | 0.8 |
| April 2025 | 12.70 thousands | 1.6 |
| March 2025 | 12.90 thousands | 1.6 |
| February 2025 | 12.90 thousands | 2.4 |
| January 2025 | 12.60 thousands | 2.4 |
| December 2024 | 12.50 thousands | 0.8 |
| November 2024 | 12.60 thousands | 1.6 |
| October 2024 | 12.60 thousands | 4.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25940.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25940.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```