# United Kingdom AWE: Public Sector Historic Level (£): Non Seasonally Adjusted (ended 1999) ()

United Kingdom AWE: Public Sector Historic Level (£): Non Seasonally Adjusted (ended 1999) () was up 4.7% year on year in December 1999, compared with 5.1% in November 1999.
The level stood at 309.0 £/week.
Over the past ten years it has ranged from 0.2% (Dec 1995) to 11.8% (Jul 1991), averaging 4.1%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.AWE.M.NSA.MEASURE-HISTORIC.MEASURE-TOTAL.SECTOR-PUBLIC`
- Frequency: monthly
- Units: £/week
- Coverage: 1990-01-01 to 1999-12-01 (120 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/awe-public-sector-historic-level-non-seasonally-adjusted-ended-1999

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| December 1999 | 309.0 £/week | 4.7 |
| November 1999 | 307.6 £/week | 5.1 |
| October 1999 | 305.6 £/week | 4.7 |
| September 1999 | 305.8 £/week | 4.3 |
| August 1999 | 305.4 £/week | 3.8 |
| July 1999 | 303.7 £/week | 4.3 |
| June 1999 | 305.7 £/week | 5.6 |
| May 1999 | 302.7 £/week | 5.0 |
| April 1999 | 298.9 £/week | 5.0 |
| March 1999 | 295.7 £/week | 4.2 |
| February 1999 | 296.7 £/week | 4.5 |
| January 1999 | 294.4 £/week | 3.8 |
| December 1998 | 295.0 £/week | 3.4 |
| November 1998 | 292.7 £/week | 3.5 |
| October 1998 | 292.0 £/week | 3.7 |
| September 1998 | 293.3 £/week | 3.2 |
| August 1998 | 294.2 £/week | 3.7 |
| July 1998 | 291.2 £/week | 3.7 |
| June 1998 | 289.5 £/week | 4.1 |
| May 1998 | 288.4 £/week | 3.3 |
| April 1998 | 284.8 £/week | 2.3 |
| March 1998 | 283.9 £/week | 2.7 |
| February 1998 | 283.9 £/week | 2.9 |
| January 1998 | 283.5 £/week | 2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-HISTORIC.MEASURE-TOTAL.SECTOR-PUBLIC"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.AWE.M.NSA.MEASURE-HISTORIC.MEASURE-TOTAL.SECTOR-PUBLIC",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```