24 June 2022 12:59 am
Sri Lanka stands among the nations that has made little progress in achieving the gender equality target under Sustainable Development Goals by the year 2030, the latest assessment by UN Women revealed.
Sri Lanka ranks low on the list of Central and South Asian countries in this regard, and stands with Tajikistan, Turkmenistan, Uzbekistan.
To achieve gender equality and empower all women and girls by 2030 is one of the 17 Sustainable Development Goals (SDGs).
According to the assessment of progress tracker of the SDG goal five (SDG 5) by the UN, Sri Lanka has managed to meet only one indicator of the overall target.
For two indicators it is close to reaching the target, whereas for three other indicators it is moderately distant from fulfilling the target, far from the target, and very far from the target.
For the remaining indicators, there is insufficient data available to track progress.
Overall, Central and Southern Asia as a region is not on track to achieving gender equality by 2030. Across the region, out of 18 indicators for the SDGs, only one has met the target.
“We need bold action to close data gaps and accelerate progress,” the UN agency said.
Progress on SDG 5 is measured using 9 targets, made up of 18 indicators and sub-indicators.
Assessment by the UN shows that 13 percent of the indicators that are used to assess progress are ‘very far’ from the targets set out under SDG 5. Fifteen percent are ‘far from target’, which means that over a quarter are ‘far or very far’ from the targets set for 2030.
On time spent on unpaid care and domestic work (Target 5.4), a critical area for women’s empowerment, no country has met the target of equality between men and women.
“Data gaps prevent us from seeing the full picture of progress, but from the data we do have, the outlook is grim,”the UN said, while pointing out that where data are missing, women and girls are invisible.
Only 48 percent of data needed to monitor SDG 5 are currently available.
The UN stressed that more and better gender data are needed to accurately diagnose the barriers and spur the necessary policy dialogue on gender equality that drives change.