Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap as of 31 March 2017. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/54219db1-dd98-49d9-a383-a5978bb0aeb9/gender-pay-gap" class="govuk-link">export all national gender pay gap data

Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to report annually on their gender pay gap.

The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/gender-pay-gap" class="govuk-link">export all national gender pay gap data

Gender pay gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results?t=1&search=&orderBy=relevance" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/54219db1-dd98-49d9-a383-a5978bb0aeb9/gender-pay-gap" class="govuk-link">export all national gender pay gap data

Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap each year. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results?t=1&search=&orderBy=relevance" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/54219db1-dd98-49d9-a383-a5978bb0aeb9/gender-pay-gap" class="govuk-link">export all national gender pay gap data

Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results?_ga=2.75502357.101830232.1579592316-1716679108.1576823697" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/gender-pay-gap" class="govuk-link">export all national gender pay gap data

The Gender pay gap legislation was introduced in April 2017 and is statutory requirement for all organisations (with 250 or more employees) to report annually on their gender pay gap.

This report sets out where the IPO fulfils the reporting requirements. It analyses the figures in more detail and explains what we are doing to close the gender pay gap in the organisation.

You can also explore this data on a https://gender-pay-gap.service.gov.uk/Viewing/search-results?_ga=2.217888278.1658900903.1597042805-713893359.1576830614" class="govuk-link">dashboard export all https://data.gov.uk/dataset/gender-pay-gap" class="govuk-link">national gender pay gap data.

The focus of this study is the implications of structural transformation for gender equality, specifically equal pay, in Sub-Saharan Africa. While structural transformation affects key development outcomes, including growth, poverty, and access to decent work, its effect on the gender pay gap is not clear ex-ante. Evidence on the gender pay gap in sub-Saharan Africa is limited, and often excludes rural areas and informal (self-)employment. This paper provides evidence on the extent and drivers of the gender pay gap in non-farm wage- and self-employment activities across three countries at different stages of structural transformation (Malawi, Tanzania and Nigeria). The analysis leverages nationally-representative survey data and decomposition methods, and is conducted separately among individuals residing in rural versus urban areas in each country. The results show that women earn 40 to 46 percent less than men in urban areas, which is substantially less than in high-income countries. The gender pay gap in rural areas ranges from (a statistically insignificant) 12 percent in Tanzania to 77 percent in Nigeria. In all rural areas, a major share of the gender pay gap (81 percent in Malawi, 83 percent in Tanzania and 70 percent in Nigeria) is explained by differences in workers’ characteristics, including education, occupation and sector. This suggests that if rural men and women had similar characteristics, most of the gender pay gap would disappear. Country-differences are larger across urban areas, where differences in characteristics account for only 32 percent of the pay gap in Tanzania, 50 percent in Malawi and 81 percent in Nigeria. Our detailed decomposition results suggest that structural transformation does not consistently help bridge the gender pay gap. Gender-sensitive policies are required to ensure equal pay for men and women.

Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

You can also:

• https://gender-pay-gap.service.gov.uk/Viewing/search-results?_ga=2.21881211.1706118128.1583397687-1861533821.1576832382" class="govuk-link">explore this data on a dashboard
• https://data.gov.uk/dataset/gender-pay-gap" class="govuk-link">export all national gender pay gap data

Results of statistical modelling exploring linear regression and Blinder-Oaxaca decomposition.

Kitagawa-Oaxaca-Blinder decomposition of gender pay gap for non-farm employed people aged 25–55 in Malawi, Tanzania and Nigeria.

The paper assesses gender differences in pre-labor market specialization among the college-educated and highlights how those differences have evolved over time. Women choose majors with lower potential earnings (based on male wages associated with those majors) and subsequently sort into occupations with lower potential earnings given their major choice. These differences have narrowed over time, but recent cohorts of women still choose majors and occupations with lower potential earnings. Differences in undergraduate major choice explain a substantive portion of gender wage gaps for the college-educated above and beyond simply controlling for occupation. Collectively, our results highlight the importance of understanding gender differences in the mapping between college major and occupational sorting when studying the evolution of gender differences in labor market outcomes over time.

In 2024, the gender pay gap for all workers in the United Kingdom was highest in the financial and insurance sector, at **** percent, and lowest in accommodation and food services, where it was *** percent.

This statistic depicts the results of a survey conducted between September and October 2018 about the response to gender pay gap among working women in India, by their educational qualification. A majority of the surveyed women stated that they would consider quitting their job if they sensed a gender pay gap at their work place. About ** percent of the surveyed women with a high school or diploma qualification said they would continue working despite a pay gap.

The gender pay gap among journalists in Denmark decreased by *** percentage points (-**** percent) compared to the previous year. As a result, the gender pay gap in Denmark saw its lowest number in 2023 with *** percent. Notably, the gender pay gap in this industry is continuously decreasing over the last years.Find more statistics on journalists in Denmark with key insights such as Gender pay gap among authors and Gender pay gap among actors.