# United Kingdom LFS: Employment: Cat R ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA ()

United Kingdom LFS: Employment: Cat R ISIC Rev. 4: : Men: Aged 15 and over: Thousands: NSA () was up 1.6% year on year in Q2 2026, compared with 5.1% in Q1 2026.
The level stood at 523.0 thousands.
That is the lowest reading since Q4 2024.
Over the past ten years it has ranged from −11.7% (Q1 2021) to 15.0% (Q3 2025), averaging 1.7%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-R.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 2001-01-01 to 2026-04-01 (102 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-employment-cat-r-isic-rev-4-men-aged-15-and-over-thousands-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 523.0 thousands | 1.6 |
| Q1 2026 | 534.0 thousands | 5.1 |
| Q4 2025 | 522.0 thousands | 10.6 |
| Q3 2025 | 538.0 thousands | 15.0 |
| Q2 2025 | 515.0 thousands | 4.3 |
| Q1 2025 | 508.0 thousands | 9.7 |
| Q4 2024 | 472.0 thousands | 1.3 |
| Q3 2024 | 468.0 thousands | −11.0 |
| Q2 2024 | 494.0 thousands | 4.7 |
| Q1 2024 | 463.0 thousands | −5.7 |
| Q4 2023 | 466.0 thousands | −2.5 |
| Q3 2023 | 526.0 thousands | 5.8 |
| Q2 2023 | 472.0 thousands | 4.2 |
| Q1 2023 | 491.0 thousands | 6.0 |
| Q4 2022 | 478.0 thousands | 12.7 |
| Q3 2022 | 497.0 thousands | 14.3 |
| Q2 2022 | 453.0 thousands | 0.4 |
| Q1 2022 | 463.0 thousands | 11.6 |
| Q4 2021 | 424.0 thousands | 0.7 |
| Q3 2021 | 435.0 thousands | −3.1 |
| Q2 2021 | 451.0 thousands | −1.1 |
| Q1 2021 | 415.0 thousands | −11.7 |
| Q4 2020 | 421.0 thousands | −11.4 |
| Q3 2020 | 449.0 thousands | −5.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-R.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.MEASURE-LEVEL.NACE-C-R.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```