NORTHUMBRIA PRIMARY CARE LIMITED

NORTHUMBRIA PRIMARY CARE LIMITED has submitted data every year since 2024, with all 2 submissions on time.

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

Last submission received on Monday, 30 Mar 2026 at 08:25 UTC.

Employer ID 27501
Company Number 08985903
Employer Size 250 to 499
Years Submitted
20242025

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.

2025 Mean pay gap 44.0%

In this organisation, women earned 26p for every £1 that men earned when comparing median hourly pay.

Women made up 66.7% of the highest paid quarter and 92.1% of the lowest paid quarter.

Mean hourly pay gap 44.0%
Median hourly pay gap 73.8%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 66.7%
33.3%
Upper-middle 90.4%
9.6%
Lower-middle 93.9%
6.1%
Lower quartile 92.1%
7.9%
2024 Mean pay gap 45.9%

In this organisation, women earned 28p for every £1 that men earned when comparing median hourly pay.

Women made up 64.1% of the highest paid quarter and 92.4% of the lowest paid quarter.

Mean hourly pay gap 45.9%
Median hourly pay gap 72.4%
Men receiving bonus 0.0%
Women receiving bonus 0.0%

Pay quartile breakdown

Women
Men
Top quartile 64.1%
35.9%
Upper-middle 89.5%
10.5%
Lower-middle 95.5%
4.5%
Lower quartile 92.4%
7.6%