New College Stamford

New College Stamford has submitted data every year since 2019, with all 2 submissions on time.

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

Last submission received on Friday, 28 Aug 2020 at 12:02 UTC.

Employer ID 8887
Company Number N/A
Employer Size 250 to 499
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 9.8%

In this organisation, women earned 67p for every £1 that men earned when comparing median hourly pay.

Women made up 53.5% of the highest paid quarter and 76.1% of the lowest paid quarter.

Mean hourly pay gap 9.8%
Median hourly pay gap 33.1%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 53.5%
46.5%
Upper-middle 69.0%
31.0%
Lower-middle 81.7%
18.3%
Lower quartile 76.1%
23.9%
2019 Mean pay gap 7.4%

In this organisation, women earned 66p for every £1 that men earned when comparing median hourly pay.

Women made up 53.9% of the highest paid quarter and 76.9% of the lowest paid quarter.

Mean hourly pay gap 7.4%
Median hourly pay gap 33.8%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 53.9%
46.1%
Upper-middle 66.1%
33.9%
Lower-middle 75.4%
24.6%
Lower quartile 76.9%
23.1%