# United Kingdom "LFS: In Employment: Agriculture, forestry & fishing: : Men: Aged 16 and over: Thousands: NSA" ()

United Kingdom "LFS: In Employment: Agriculture, forestry & fishing: : Men: Aged 16 and over: Thousands: NSA" () was up 12.0% year on year in Q2 2026, compared with 1.6% in Q1 2026.
The level stood at 205.0 thousands.
That is the highest reading since Q1 2024.
Over the past ten years it has ranged from −19.0% (Q1 2025) to 39.0% (Q4 2023), averaging −1.2%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EMP.Q.NSA.ITEM-I4EE.MEASURE-LEVEL.SEX-M`
- Frequency: quarterly
- Units: thousands
- Coverage: 1997-01-01 to 2026-04-01 (118 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/lfs-in-employment-agriculture-forestry-and-fishing-men-aged-16-and-over

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 205.0 thousands | 12.0 |
| Q1 2026 | 195.0 thousands | 1.6 |
| Q4 2025 | 217.0 thousands | 3.8 |
| Q3 2025 | 217.0 thousands | 9.6 |
| Q2 2025 | 183.0 thousands | −11.2 |
| Q1 2025 | 192.0 thousands | −19.0 |
| Q4 2024 | 209.0 thousands | −15.0 |
| Q3 2024 | 198.0 thousands | −17.5 |
| Q2 2024 | 206.0 thousands | 3.0 |
| Q1 2024 | 237.0 thousands | 23.4 |
| Q4 2023 | 246.0 thousands | 39.0 |
| Q3 2023 | 240.0 thousands | 37.9 |
| Q2 2023 | 200.0 thousands | 9.9 |
| Q1 2023 | 192.0 thousands | 7.3 |
| Q4 2022 | 177.0 thousands | −8.3 |
| Q3 2022 | 174.0 thousands | −16.7 |
| Q2 2022 | 182.0 thousands | −13.3 |
| Q1 2022 | 179.0 thousands | −14.8 |
| Q4 2021 | 193.0 thousands | −17.2 |
| Q3 2021 | 209.0 thousands | −4.1 |
| Q2 2021 | 210.0 thousands | 1.0 |
| Q1 2021 | 210.0 thousands | −9.9 |
| Q4 2020 | 233.0 thousands | −6.8 |
| Q3 2020 | 218.0 thousands | −14.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EE.MEASURE-LEVEL.SEX-M"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EMP.Q.NSA.ITEM-I4EE.MEASURE-LEVEL.SEX-M",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```