# All Employees: Professional and Business Services — Corpus Christi, TX (NSA)

All Employees: Professional and Business Services — Corpus Christi, TX (NSA) was up 7.2% year on year in September 2026, compared with 6.7% in August 2026.
The level stood at 19.30 thousands.
Over the past ten years it has ranged from −9.6% (Aug 2025) to 11.5% (Apr 2018), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-18580.PAYEMS.M.NSA.IND-60000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-and-business-services-corpus-christi-tx-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 19.30 thousands | 7.2 |
| August 2026 | 19.00 thousands | 6.7 |
| July 2026 | 18.90 thousands | 8.0 |
| June 2026 | 18.80 thousands | 5.0 |
| May 2026 | 18.60 thousands | 4.5 |
| April 2026 | 18.60 thousands | 2.2 |
| March 2026 | 18.10 thousands | 0.0 |
| February 2026 | 18.20 thousands | 0.6 |
| January 2026 | 18.10 thousands | −2.2 |
| December 2025 | 18.20 thousands | −3.2 |
| November 2025 | 18.10 thousands | −3.2 |
| October 2025 | 18.00 thousands | −3.7 |
| September 2025 | 18.00 thousands | −6.7 |
| August 2025 | 17.80 thousands | −9.6 |
| July 2025 | 17.50 thousands | −6.9 |
| June 2025 | 17.90 thousands | −5.8 |
| May 2025 | 17.80 thousands | −6.3 |
| April 2025 | 18.20 thousands | −3.2 |
| March 2025 | 18.10 thousands | −5.2 |
| February 2025 | 18.10 thousands | −6.7 |
| January 2025 | 18.50 thousands | −3.6 |
| December 2024 | 18.80 thousands | −4.6 |
| November 2024 | 18.70 thousands | −5.6 |
| October 2024 | 18.70 thousands | −5.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-18580.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-18580.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```