NOT IN USE MSP LTD

NOT IN USE MSP LTD has submitted data every year since 2019. 1 of 2 submissions were filed after the deadline.

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

Last submission received on Monday, 11 Oct 2021 at 10:12 UTC.

Employer ID 19492
Company Number 10102939
Employer Size 500 to 999
Years Submitted
20192020

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.

2020 Mean pay gap -7.3% Late submission

In this organisation, women earned £1.06 for every £1 that men earned when comparing median hourly pay.

Women made up 80.1% of the highest paid quarter and 72.3% of the lowest paid quarter.

Mean hourly pay gap -7.3%
Median hourly pay gap -5.9%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 80.1%
19.9%
Upper-middle 69.9%
30.1%
Lower-middle 64.0%
36.0%
Lower quartile 72.3%
27.7%
2019 Mean pay gap 35.9%

In this organisation, women earned 69p for every £1 that men earned when comparing median hourly pay.

Women made up 58.0% of the highest paid quarter and 75.1% of the lowest paid quarter.

Mean hourly pay gap 35.9%
Median hourly pay gap 30.7%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 58.0%
42.0%
Upper-middle 75.1%
24.9%
Lower-middle 80.3%
19.7%
Lower quartile 75.1%
24.9%