Africa Corporate Wellness Market, by End User, 2018-2027
Sweden Self-employed, female (% of female employment) (modeled ILO estimate)
What is Sweden's self-employed, female (% of female employment) (modeled ilo estimate)? As of 2023, it's 6.4% of female employment, up from 6.2% of female employment in 2014.
| Label | Self-employed, female (% of female employment) (modeled ILO estimate) |
|---|---|
| 2014 | 6.2366% of female employment |
| 2015 | 6.2337% of female employment |
| 2016 | 6.1603% of female employment |
| 2017 | 6.0685% of female employment |
| 2018 | 5.9889% of female employment |
| 2019 | 6.147% of female employment |
| 2020 | 6.2129% of female employment |
| 2021 | 6.3381% of female employment |
| 2022 | 6.4554% of female employment |
| 2023 | 6.4321% of female employment |
Data Source: World Bank and Wantstats Repository
Sweden Self-employed, female (% of female employment) (modeled ILO estimate): Key Points
- Measured in 2023, Sweden's self-employed, female (% of female employment) sits at 6.43 % of female employment. The series opened at 6.24 % of female employment in 2014, making the full move a 3% rise.
- 2015-2018: holds around 5.99 % of female employment.
- 2019: jumps to 6.15 % of female employment (+3%).
- 2020: sits at 6.21 % of female employment, near enough unchanged.
- 2021: up to 6.34 % of female employment (+2%).
- 2023: Close at 6.43 % of female employment — a gain of 3.1% since 2014.
What This Chart Is Really Saying
Net change number lie here. 3.1% over the whole period sound almost flat. Real story is the swing in between — from 6.24 to a peak or trough well off that line and back. Read the path, not just start and end.
Worth pairing this with the same indicator for a handful of comparable economies before concluding anything about Sweden specifically — a move that looks large here can be the regional norm, or genuinely unusual, and this chart alone can't say which.
This data comes from Sweden's statistical reporting, sourced from the link below. As with most cross-country indicator datasets, expect the underlying survey to run less often than annually, with gaps modeled in between.
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