6CATS UK LTD.

6CATS UK LTD. 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 Tuesday, 2 Apr 2019 at 11:06 UTC.

Employer ID 708
Company Number 07284675
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 15.0%

In this organisation, women earned 94p for every £1 that men earned when comparing median hourly pay.

Women made up 42.0% of the highest paid quarter and 52.0% of the lowest paid quarter.

Mean hourly pay gap 15.0%
Median hourly pay gap 6.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 42.0%
58.0%
Upper-middle 42.0%
58.0%
Lower-middle 44.0%
56.0%
Lower quartile 52.0%
48.0%
2017 Mean pay gap 14.0%

In this organisation, women earned 96p for every £1 that men earned when comparing median hourly pay.

Women made up 43.0% of the highest paid quarter and 52.0% of the lowest paid quarter.

Mean hourly pay gap 14.0%
Median hourly pay gap 4.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%
Mean bonus gap 0.0%
Median bonus gap 0.0%

Pay quartile breakdown

Women
Men
Top quartile 43.0%
57.0%
Upper-middle 53.0%
47.0%
Lower-middle 58.0%
42.0%
Lower quartile 52.0%
48.0%