# All Employees: Credit Intermediation and Related Activities including Monetary Authorities - Central Bank — Warren-Troy-Farmington Hills, MI Metropolitan Division (NSA)

All Employees: Credit Intermediation and Related Activities including Monetary Authorities - Central Bank — Warren-Troy-Farmington Hills, MI Metropolitan Division (NSA) was up 2.0% year on year in September 2026, compared with 2.0% in August 2026.
The level stood at 30.40 thousands.
Over the past ten years it has ranged from −11.4% (Feb 2023) to 17.6% (Jun 2021), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47664.PAYEMS.M.NSA.IND-55522000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-credit-intermediation-and-related-activities-including-us-47664-payems-m-nsa-ind-55522000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 30.40 thousands | 2.0 |
| August 2026 | 30.70 thousands | 2.0 |
| July 2026 | 30.60 thousands | 0.7 |
| June 2026 | 30.80 thousands | 1.3 |
| May 2026 | 30.30 thousands | 0.7 |
| April 2026 | 30.20 thousands | 0.7 |
| March 2026 | 30.20 thousands | 1.7 |
| February 2026 | 30.30 thousands | 2.4 |
| January 2026 | 30.20 thousands | 2.7 |
| December 2025 | 30.30 thousands | 3.8 |
| November 2025 | 29.90 thousands | 3.8 |
| October 2025 | 29.80 thousands | 4.6 |
| September 2025 | 29.80 thousands | 4.6 |
| August 2025 | 30.10 thousands | 7.1 |
| July 2025 | 30.40 thousands | 9.0 |
| June 2025 | 30.40 thousands | 8.6 |
| May 2025 | 30.10 thousands | 10.7 |
| April 2025 | 30.00 thousands | 11.5 |
| March 2025 | 29.70 thousands | 10.0 |
| February 2025 | 29.60 thousands | 11.3 |
| January 2025 | 29.40 thousands | 12.2 |
| December 2024 | 29.20 thousands | 8.6 |
| November 2024 | 28.80 thousands | 8.7 |
| October 2024 | 28.50 thousands | 8.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47664.PAYEMS.M.NSA.IND-55522000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47664.PAYEMS.M.NSA.IND-55522000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
