# United Kingdom Non-Fin Corp (S11): Social benefits other than social transfers in kind (D.62): Use: Current price: £m: Not seasonally adjusted ()

United Kingdom Non-Fin Corp (S11): Social benefits other than social transfers in kind (D.62): Use: Current price: £m: Not seasonally adjusted () was down 6.5% year on year in Q2 2026, compared with 16.5% in Q1 2026.
The level stood at 1,859.0 £m.
That is the lowest reading since Q2 2022.
Over the past ten years it has ranged from −72.5% (Q4 2021) to 135.9% (Q4 2020), averaging 14.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.GOVCONS.Q.NSA.ITEM-L8TD.SECTOR-NFC`
- Frequency: quarterly
- Units: £m
- Coverage: 1987-01-01 to 2026-04-01 (158 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/non-fin-corp-s11-social-benefits-other-than-social-transfers-in-kind-d-uk-govcons-q-nsa-item-l8td-sector-nfc

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| Q2 2026 | 1,859.0 £m | −6.5 |
| Q1 2026 | 2,401.0 £m | 16.5 |
| Q4 2025 | 2,930.0 £m | 33.2 |
| Q3 2025 | 2,673.0 £m | 68.6 |
| Q2 2025 | 1,989.0 £m | −4.9 |
| Q1 2025 | 2,061.0 £m | 26.4 |
| Q4 2024 | 2,200.0 £m | 0.6 |
| Q3 2024 | 1,585.0 £m | 4.2 |
| Q2 2024 | 2,091.0 £m | 2.0 |
| Q1 2024 | 1,630.0 £m | 16.3 |
| Q4 2023 | 2,186.0 £m | 16.8 |
| Q3 2023 | 1,521.0 £m | 10.9 |
| Q2 2023 | 2,051.0 £m | 123.2 |
| Q1 2023 | 1,402.0 £m | 40.8 |
| Q4 2022 | 1,872.0 £m | 94.0 |
| Q3 2022 | 1,371.0 £m | 3.2 |
| Q2 2022 | 919.0 £m | −26.1 |
| Q1 2022 | 996.0 £m | −45.4 |
| Q4 2021 | 965.0 £m | −72.5 |
| Q3 2021 | 1,329.0 £m | −48.6 |
| Q2 2021 | 1,243.0 £m | 14.5 |
| Q1 2021 | 1,825.0 £m | 84.9 |
| Q4 2020 | 3,503.0 £m | 135.9 |
| Q3 2020 | 2,585.0 £m | 52.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.GOVCONS.Q.NSA.ITEM-L8TD.SECTOR-NFC"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.GOVCONS.Q.NSA.ITEM-L8TD.SECTOR-NFC",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```