OG PERSONNEL LTD

OG PERSONNEL 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 Tuesday, 26 Mar 2024 at 12:19 UTC.

Employer ID 22170
Company Number 13324474
Employer Size 1000 to 4999
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 40.0%

In this organisation, women earned 55p for every £1 that men earned when comparing median hourly pay.

Women made up 25.5% of the highest paid quarter and 73.6% of the lowest paid quarter.

Mean hourly pay gap 40.0%
Median hourly pay gap 45.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 25.5%
74.5%
Upper-middle 51.4%
48.6%
Lower-middle 60.8%
39.2%
Lower quartile 73.6%
26.4%
2022 Mean pay gap 40.0%

In this organisation, women earned 44p for every £1 that men earned when comparing median hourly pay.

Women made up 22.3% of the highest paid quarter and 67.4% of the lowest paid quarter.

Mean hourly pay gap 40.0%
Median hourly pay gap 56.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 22.3%
77.7%
Upper-middle 38.2%
61.8%
Lower-middle 52.3%
47.7%
Lower quartile 67.4%
32.6%