# All Employees: Federal Government — OH (statewide) (NSA)

All Employees: Federal Government — OH (statewide) (NSA) was down 5.5% year on year in September 2026, compared with −5.6% in August 2026.
The level stood at 77.40 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.7% (Aug 2021) to 10.9% (Aug 2020), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-OH.PAYEMS.M.NSA.IND-90910000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-federal-government-oh-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 77.40 thousands | −5.5 |
| August 2026 | 77.30 thousands | −5.6 |
| July 2026 | 77.70 thousands | −6.0 |
| June 2026 | 77.60 thousands | −5.9 |
| May 2026 | 77.60 thousands | −6.4 |
| April 2026 | 77.60 thousands | −7.4 |
| March 2026 | 77.40 thousands | −7.6 |
| February 2026 | 77.60 thousands | −7.9 |
| January 2026 | 77.10 thousands | −9.2 |
| December 2025 | 78.20 thousands | −8.9 |
| November 2025 | 78.30 thousands | −8.3 |
| October 2025 | 78.40 thousands | −8.1 |
| September 2025 | 81.90 thousands | −4.0 |
| August 2025 | 81.90 thousands | −3.8 |
| July 2025 | 82.70 thousands | −2.6 |
| June 2025 | 82.50 thousands | −3.1 |
| May 2025 | 82.90 thousands | −2.4 |
| April 2025 | 83.80 thousands | −1.1 |
| March 2025 | 83.80 thousands | −0.9 |
| February 2025 | 84.30 thousands | −0.2 |
| January 2025 | 84.90 thousands | 1.3 |
| December 2024 | 85.80 thousands | 1.7 |
| November 2024 | 85.40 thousands | 1.7 |
| October 2024 | 85.30 thousands | 1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-OH.PAYEMS.M.NSA.IND-90910000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-OH.PAYEMS.M.NSA.IND-90910000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
