# All Employees: Accommodation and Food Services — Manchester-Nashua, NH (NSA)

All Employees: Accommodation and Food Services — Manchester-Nashua, NH (NSA) was up 4.5% year on year in September 2026, compared with 4.8% in August 2026.
The level stood at 16.30 thousands.
Over the past ten years it has ranged from −54.9% (Apr 2020) to 84.9% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31700.PAYEMS.M.NSA.IND-70720000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-accommodation-and-food-services-manchester-nashua-nh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 16.30 thousands | 4.5 |
| August 2026 | 17.60 thousands | 4.8 |
| July 2026 | 17.70 thousands | 4.7 |
| June 2026 | 16.90 thousands | 1.8 |
| May 2026 | 16.00 thousands | −1.2 |
| April 2026 | 15.50 thousands | −1.9 |
| March 2026 | 15.10 thousands | −3.2 |
| February 2026 | 15.30 thousands | 1.3 |
| January 2026 | 15.20 thousands | −3.8 |
| December 2025 | 15.30 thousands | −5.0 |
| November 2025 | 15.30 thousands | −3.8 |
| October 2025 | 15.40 thousands | −3.1 |
| September 2025 | 15.60 thousands | −2.5 |
| August 2025 | 16.80 thousands | −0.6 |
| July 2025 | 16.90 thousands | −1.2 |
| June 2025 | 16.60 thousands | 0.0 |
| May 2025 | 16.20 thousands | 0.6 |
| April 2025 | 15.80 thousands | 1.3 |
| March 2025 | 15.60 thousands | 1.3 |
| February 2025 | 15.10 thousands | −1.3 |
| January 2025 | 15.80 thousands | 2.6 |
| December 2024 | 16.10 thousands | 1.3 |
| November 2024 | 15.90 thousands | 1.9 |
| October 2024 | 15.90 thousands | 2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31700.PAYEMS.M.NSA.IND-70720000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31700.PAYEMS.M.NSA.IND-70720000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```