# All Employees: Private Education and Health Services — Oklahoma City, OK (NSA)

All Employees: Private Education and Health Services — Oklahoma City, OK (NSA) was up 5.3% year on year in September 2026, compared with 6.3% in August 2026.
The level stood at 129.3 thousands.
Over the past ten years it has ranged from −6.5% (Apr 2020) to 9.2% (Mar 2023), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36420.PAYEMS.M.NSA.IND-65000000`
- 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-education-and-health-services-oklahoma-city-ok-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 129.3 thousands | 5.3 |
| August 2026 | 129.0 thousands | 6.3 |
| July 2026 | 127.9 thousands | 6.2 |
| June 2026 | 127.8 thousands | 5.5 |
| May 2026 | 127.1 thousands | 4.0 |
| April 2026 | 126.7 thousands | 3.7 |
| March 2026 | 125.4 thousands | 3.0 |
| February 2026 | 125.3 thousands | 3.0 |
| January 2026 | 124.4 thousands | 3.0 |
| December 2025 | 123.8 thousands | 2.5 |
| November 2025 | 123.9 thousands | 2.5 |
| October 2025 | 124.0 thousands | 2.8 |
| September 2025 | 122.8 thousands | 2.4 |
| August 2025 | 121.4 thousands | 2.0 |
| July 2025 | 120.4 thousands | 2.4 |
| June 2025 | 121.1 thousands | 3.6 |
| May 2025 | 122.2 thousands | 4.9 |
| April 2025 | 122.2 thousands | 5.3 |
| March 2025 | 121.8 thousands | 5.8 |
| February 2025 | 121.6 thousands | 6.1 |
| January 2025 | 120.8 thousands | 6.8 |
| December 2024 | 120.8 thousands | 5.8 |
| November 2024 | 120.9 thousands | 6.6 |
| October 2024 | 120.6 thousands | 6.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36420.PAYEMS.M.NSA.IND-65000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36420.PAYEMS.M.NSA.IND-65000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
