FIRST CHOICE STAFF PAYROLL LTD

FIRST CHOICE STAFF PAYROLL LTD has submitted data every year since 2022, with all 2 submissions on time.

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

Last submission received on Thursday, 21 Mar 2024 at 09:05 UTC.

Employer ID 22174
Company Number 13483145
Employer Size 250 to 499
Years Submitted
20222023

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.

2023 Mean pay gap 22.0%

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

Women made up 4.0% of the highest paid quarter and 30.0% of the lowest paid quarter.

Mean hourly pay gap 22.0%
Median hourly pay gap 6.5%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 4.0%
96.0%
Upper-middle 14.0%
86.0%
Lower-middle 29.0%
71.0%
Lower quartile 30.0%
70.0%
2022 Mean pay gap 22.0%

In this organisation, women earned 84p for every £1 that men earned when comparing median hourly pay.

Women made up 3.8% of the highest paid quarter and 29.6% of the lowest paid quarter.

Mean hourly pay gap 22.0%
Median hourly pay gap 16.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 3.8%
96.2%
Upper-middle 13.8%
86.2%
Lower-middle 28.8%
71.2%
Lower quartile 29.6%
70.4%