THE NSB TRUST

THE NSB TRUST 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 Wednesday, 27 Mar 2019 at 16:51 UTC.

Employer ID 16785
Company Number 07333885
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 27.3%

In this organisation, women earned 41p for every £1 that men earned when comparing median hourly pay.

Women made up 35.8% of the highest paid quarter and 64.2% of the lowest paid quarter.

Mean hourly pay gap 27.3%
Median hourly pay gap 59.0%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 35.8%
64.2%
Upper-middle 53.8%
46.2%
Lower-middle 69.2%
30.8%
Lower quartile 64.2%
35.8%
2017 Mean pay gap 27.9%

In this organisation, women earned 39p for every £1 that men earned when comparing median hourly pay.

Women made up 33.3% of the highest paid quarter and 59.3% of the lowest paid quarter.

Mean hourly pay gap 27.9%
Median hourly pay gap 60.6%
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 33.3%
66.7%
Upper-middle 50.0%
50.0%
Lower-middle 68.5%
31.5%
Lower quartile 59.3%
40.7%