[1+2.320.000000E0] total – central government – sickperiods
Updated on DBnomics on February 22, 2023 (11:00 AM)
- from
- 2015-Q2=0.26
- to
- 2021-Q4=0.41
- min:
- 0.22
- max:
- 0.48
- avg:
- 0.328
- σ:
- 0.067
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Period | Value |
---|---|
2015-Q2 | 0.26 |
2015-Q3 | 0.22 |
2015-Q4 | 0.32 |
2016-Q1 | 0.38 |
2016-Q2 | 0.27 |
2016-Q3 | 0.25 |
2016-Q4 | 0.37 |
2017-Q1 | 0.41 |
2017-Q2 | 0.29 |
2017-Q3 | 0.26 |
2017-Q4 | 0.37 |
2018-Q1 | 0.45 |
2018-Q2 | 0.29 |
2018-Q3 | 0.28 |
2018-Q4 | 0.37 |
2019-Q1 | 0.44 |
2019-Q2 | 0.3 |
2019-Q3 | 0.26 |
2019-Q4 | 0.37 |
2020-Q1 | 0.48 |
2020-Q2 | 0.31 |
2020-Q3 | 0.27 |
2020-Q4 | 0.34 |
2021-Q1 | 0.3 |
2021-Q2 | 0.31 |
2021-Q3 | 0.28 |
2021-Q4 | 0.41 |
Dimension | Dimension value |
---|---|
[Kon] sex | [1+2] total |
[Sektor] sector | [320] central government |
[ContentsCode] observations | [000000E0] sickperiods |