SILK HEALTHCARE LIMITED

SILK HEALTHCARE LIMITED has submitted data every year since 2017, with all 2 submissions on time.

This company has been viewed 0 times in the last 30 days.

Last submission received on Wednesday, 13 Mar 2019 at 15:48 UTC.

Employer ID 16762
Company Number 05893616
Employer Size 250 to 499
Years Submitted
20172018

Overall workforce composition

Deviation from a 50:50 gender split, averaged across all four pay quartiles per year. 0% represents an equal split of men and women; positive values mean more women, negative means fewer women.

Hourly pay gap over time

Positive values indicate women's hourly pay is lower than men's by that percentage. A value of 0 indicates equal pay; negative values indicate women earn more.

Pay quartile breakdown

Each band shows the percentage of that quartile that is male vs female.

Lower quartile bottom 25% of earners

Lower-middle quartile 25–50th percentile

Upper-middle quartile 50–75th percentile

Top quartile top 25% of earners

Bonus pay

Percentage of each gender who received a bonus payment.

Bonus pay gap — positive values indicate women's bonus pay is lower than men's.

Year by year

Each year's submission in full. Most recent year shown first.

2018 Mean pay gap -4.5%

In this organisation, women and men earned the same median hourly pay.

Women made up 87.5% of the highest paid quarter and 86.4% of the lowest paid quarter.

Mean hourly pay gap -4.5%
Median hourly pay gap 0.0%
Men receiving bonus 0.0%
Women receiving bonus 0.4%
Mean bonus gap 0.0%
Median bonus gap 0.0%

Pay quartile breakdown

Women
Men
Top quartile 87.5%
12.5%
Upper-middle 84.0%
16.0%
Lower-middle 91.2%
8.8%
Lower quartile 86.4%
13.6%
2017 Mean pay gap 4.6%

In this organisation, women and men earned the same median hourly pay.

Women made up 87.9% of the highest paid quarter and 85.1% of the lowest paid quarter.

Mean hourly pay gap 4.6%
Median hourly pay gap 0.0%
Men receiving bonus 0.0%
Women receiving bonus 0.3%
Mean bonus gap 0.0%
Median bonus gap 0.0%

Pay quartile breakdown

Women
Men
Top quartile 87.9%
12.1%
Upper-middle 86.7%
13.3%
Lower-middle 90.2%
9.8%
Lower quartile 85.1%
14.9%