# Average Hourly Earnings: Total Private — Lakewood-New Brunswick, NJ Metropolitan Division (NSA)

Average Hourly Earnings: Total Private — Lakewood-New Brunswick, NJ Metropolitan Division (NSA) was up 0.1% year on year in September 2026, compared with 2.0% in August 2026.
The level stood at 38.43 USD/hour.
Over the past ten years it has ranged from −3.2% (Jan 2018) to 8.7% (Jan 2022), averaging 2.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-29484.AHE.M.NSA.IND-05000000`
- Frequency: monthly
- Units: USD/hour
- Coverage: 2011-01-01 to 2026-09-01 (189 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/average-hourly-earnings-total-private-lakewood-new-brunswick-nj

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 38.43 USD/hour | 0.1 |
| August 2026 | 38.21 USD/hour | 2.0 |
| July 2026 | 37.88 USD/hour | 0.4 |
| June 2026 | 37.57 USD/hour | −0.7 |
| May 2026 | 37.78 USD/hour | 1.5 |
| April 2026 | 37.72 USD/hour | 1.1 |
| March 2026 | 37.88 USD/hour | 0.2 |
| February 2026 | 38.74 USD/hour | 3.7 |
| January 2026 | 38.45 USD/hour | 5.0 |
| December 2025 | 38.10 USD/hour | 4.2 |
| November 2025 | 37.97 USD/hour | 4.1 |
| October 2025 | 37.95 USD/hour | 4.6 |
| September 2025 | 38.39 USD/hour | 8.4 |
| August 2025 | 37.46 USD/hour | 7.1 |
| July 2025 | 37.73 USD/hour | 6.6 |
| June 2025 | 37.84 USD/hour | 6.8 |
| May 2025 | 37.23 USD/hour | 6.5 |
| April 2025 | 37.30 USD/hour | 5.4 |
| March 2025 | 37.82 USD/hour | 6.2 |
| February 2025 | 37.36 USD/hour | 4.1 |
| January 2025 | 36.62 USD/hour | 2.6 |
| December 2024 | 36.58 USD/hour | 2.9 |
| November 2024 | 36.48 USD/hour | 2.6 |
| October 2024 | 36.29 USD/hour | 1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-29484.AHE.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-29484.AHE.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```