# All Employees: Newspaper, Periodical, Book, and Directory Publishers — TX (statewide) (NSA)

All Employees: Newspaper, Periodical, Book, and Directory Publishers — TX (statewide) (NSA) was down 5.5% year on year in September 2026, compared with −7.6% in August 2026.
The level stood at 15.60 thousands.
That is the highest reading since May 2023.
Over the past ten years it has ranged from −15.3% (Oct 2023) to 9.7% (Aug 2022), averaging −3.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-50513100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-newspaper-periodical-book-and-directory-publishers-tx

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 15.60 thousands | −5.5 |
| August 2026 | 15.70 thousands | −7.6 |
| July 2026 | 15.90 thousands | −7.0 |
| June 2026 | 15.90 thousands | −9.1 |
| May 2026 | 15.90 thousands | −9.7 |
| April 2026 | 16.00 thousands | −10.6 |
| March 2026 | 16.10 thousands | −8.5 |
| February 2026 | 16.10 thousands | −9.0 |
| January 2026 | 16.20 thousands | −8.5 |
| December 2025 | 16.50 thousands | −8.3 |
| November 2025 | 16.50 thousands | −8.8 |
| October 2025 | 16.50 thousands | −8.8 |
| September 2025 | 16.50 thousands | −9.3 |
| August 2025 | 17.00 thousands | −7.1 |
| July 2025 | 17.10 thousands | −7.6 |
| June 2025 | 17.50 thousands | −8.4 |
| May 2025 | 17.60 thousands | −8.3 |
| April 2025 | 17.90 thousands | −6.3 |
| March 2025 | 17.60 thousands | −7.4 |
| February 2025 | 17.70 thousands | −7.8 |
| January 2025 | 17.70 thousands | −8.3 |
| December 2024 | 18.00 thousands | −9.1 |
| November 2024 | 18.10 thousands | −9.0 |
| October 2024 | 18.10 thousands | −9.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-50513100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-50513100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```