MC PERSONNEL LIMITED

MC PERSONNEL 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 Tuesday, 19 Mar 2019 at 09:05 UTC.

Employer ID 17008
Company Number 03627101
Employer Size 1000 to 4999
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 0.7%

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

Women made up 43.6% of the highest paid quarter and 48.3% of the lowest paid quarter.

Mean hourly pay gap 0.7%
Median hourly pay gap 0.0%
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 43.6%
56.4%
Upper-middle 59.0%
41.0%
Lower-middle 40.5%
59.5%
Lower quartile 48.3%
51.7%
2017 Mean pay gap -1.4%

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

Women made up 47.0% of the highest paid quarter and 33.8% of the lowest paid quarter.

Mean hourly pay gap -1.4%
Median hourly pay gap 0.0%
Men receiving bonus 0.6%
Women receiving bonus 2.0%
Mean bonus gap -583.2%
Median bonus gap 0.0%

Pay quartile breakdown

Women
Men
Top quartile 47.0%
53.0%
Upper-middle 52.3%
47.7%
Lower-middle 46.8%
53.2%
Lower quartile 33.8%
66.2%