[1+2.320.000000DV] total – central government – sickdays
Updated on DBnomics on February 22, 2023 (11:00 AM)
- min:
- 1
- max:
- 2.07
- avg:
- 1.402
- σ:
- 0.284
| Period | Value |
|---|
| 2015-Q2 | 1.12 |
| 2015-Q3 | 1 |
| 2015-Q4 | 1.37 |
| 2016-Q1 | 1.58 |
| 2016-Q2 | 1.14 |
| 2016-Q3 | 1.05 |
| 2016-Q4 | 1.5 |
| 2017-Q1 | 1.68 |
| 2017-Q2 | 1.17 |
| 2017-Q3 | 1.1 |
| 2017-Q4 | 1.53 |
| 2018-Q1 | 1.94 |
| 2018-Q2 | 1.19 |
| 2018-Q3 | 1.19 |
| 2018-Q4 | 1.51 |
| 2019-Q1 | 1.79 |
| 2019-Q2 | 1.17 |
| 2019-Q3 | 1.05 |
| 2019-Q4 | 1.45 |
| 2020-Q1 | 2.07 |
| 2020-Q2 | 1.59 |
| 2020-Q3 | 1.24 |
| 2020-Q4 | 1.67 |
| 2021-Q1 | 1.47 |
| 2021-Q2 | 1.41 |
| 2021-Q3 | 1.15 |
| 2021-Q4 | 1.72 |
| Dimension | Dimension value |
|---|
| [Kon] sex | [1+2] total |
| [Sektor] sector | [320] central government |
| [ContentsCode] observations | [000000DV] sickdays |
