# All Employees: Private Service Providing — Bridgeport-Stamford-Danbury, CT (NSA)

All Employees: Private Service Providing — Bridgeport-Stamford-Danbury, CT (NSA) was up 1.3% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 328.6 thousands.
Over the past ten years it has ranged from −22.0% (Apr 2020) to 19.2% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-14860.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-bridgeport-stamford-danbury-ct

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 328.6 thousands | 1.3 |
| August 2026 | 331.8 thousands | 1.6 |
| July 2026 | 335.2 thousands | 1.3 |
| June 2026 | 332.8 thousands | 0.9 |
| May 2026 | 327.0 thousands | 0.3 |
| April 2026 | 322.9 thousands | 0.2 |
| March 2026 | 318.0 thousands | −0.3 |
| February 2026 | 318.0 thousands | 0.4 |
| January 2026 | 320.0 thousands | 0.9 |
| December 2025 | 327.0 thousands | −0.2 |
| November 2025 | 325.8 thousands | −0.03 |
| October 2025 | 325.9 thousands | 0.5 |
| September 2025 | 324.5 thousands | 0.6 |
| August 2025 | 326.6 thousands | 1.0 |
| July 2025 | 331.0 thousands | 0.9 |
| June 2025 | 329.7 thousands | 0.3 |
| May 2025 | 326.1 thousands | 0.9 |
| April 2025 | 322.2 thousands | 0.8 |
| March 2025 | 318.9 thousands | 1.0 |
| February 2025 | 316.6 thousands | 1.1 |
| January 2025 | 317.1 thousands | 1.0 |
| December 2024 | 327.7 thousands | 1.2 |
| November 2024 | 325.9 thousands | 0.9 |
| October 2024 | 324.3 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-14860.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-14860.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```