# All Employees: Drinking Places (Alcoholic Beverages) — CA (statewide) (NSA)

All Employees: Drinking Places (Alcoholic Beverages) — CA (statewide) (NSA) was up 2.1% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 34.10 thousands.
Over the past ten years it has ranged from −83.1% (Apr 2020) to 292.3% (Jan 2022), averaging 12.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-CA.PAYEMS.M.NSA.IND-70722400`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-drinking-places-alcoholic-beverages-ca-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 34.10 thousands | 2.1 |
| August 2026 | 34.30 thousands | 3.3 |
| July 2026 | 34.30 thousands | 3.0 |
| June 2026 | 34.40 thousands | 3.3 |
| May 2026 | 34.30 thousands | 3.0 |
| April 2026 | 34.00 thousands | 2.4 |
| March 2026 | 33.60 thousands | 2.4 |
| February 2026 | 33.50 thousands | 3.1 |
| January 2026 | 33.30 thousands | 2.8 |
| December 2025 | 33.50 thousands | 1.2 |
| November 2025 | 33.50 thousands | 0.0 |
| October 2025 | 33.40 thousands | −0.9 |
| September 2025 | 33.40 thousands | 0.9 |
| August 2025 | 33.20 thousands | 0.6 |
| July 2025 | 33.30 thousands | −1.2 |
| June 2025 | 33.30 thousands | −0.3 |
| May 2025 | 33.30 thousands | −1.2 |
| April 2025 | 33.20 thousands | −0.9 |
| March 2025 | 32.80 thousands | −2.1 |
| February 2025 | 32.50 thousands | −3.6 |
| January 2025 | 32.40 thousands | −4.4 |
| December 2024 | 33.10 thousands | −3.2 |
| November 2024 | 33.50 thousands | −3.7 |
| October 2024 | 33.70 thousands | −3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-CA.PAYEMS.M.NSA.IND-70722400"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-CA.PAYEMS.M.NSA.IND-70722400",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```