Women’s Representation in the LinkedIn Workforce Data

Women’s Representation in the LinkedIn Workforce Data#

  • This notebook presents LinkedIn data on women’s representation across the workforce and leadership pipeline. It brings together several indicators provided by LinkedIn, including the share of women in the labor force, STEM occupations, industries, and seniority levels.

  • Gender assignment in the dataset follows LinkedIn’s methodology, where gender is either self-identified or inferred using pronouns or first-name information. Members whose gender could not be inferred as either man or woman were excluded from the analysis.

  • Please note that results may exhibit volatility—especially for small countries, niche industries, or segments with few executives—and should be interpreted with caution.

Women’s Representation in the Workforce#

This section provides an overview of women’s presence across the LinkedIn workforce, including:

  • Share of women in the workforce

  • Share of women in STEM occupations

  • Share of women across industries

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Exported women's share by country data to ../../data/linkedin/processed/women_share_country_data.csv
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Exported women's share by industry data to ../../data/linkedin/processed/women_share_by_industry_data.csv
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Exported women in STEM data to ../../data/linkedin/processed/women_stem_country_data.csv

LinkedIn Women’s Representation Across Leadership Levels#

This section examines women’s representation along the seniority ladder, including:

  • Women’s Representation Across Leadership Levels, using all linkedin categories, for Algeria and the United States across selected sectors.

  • Women’s Representation Across Leadership Levels, using more general categories, for Algeria and its regional peers.

Visualizations in this section show how women progress—or drop off—across these aggregated leadership stages, with breakdowns by industry and comparisons across countries.

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Exported women leadership by industry data to ../../data/linkedin/processed/women_leadership_by_industry_Algeria.csv
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  • Women are better represented at entry-level across nearly all industries, typically ranging from 20–40%.
    Industries such as Hospitals and Health Care, Education, and Financial Services show the highest female participation at the early career stage.

  • Decline occurs as seniority increases.
    Mid-level management tends to show a substantial drop in representation, and the decline continues into leadership roles.

  • A few sectors show slightly better retention of women into leadership, including hospitals and Health Care, Retail, Accommodation and Food Services, and Government, though the overall representation still remains low.

df_gender.rename(columns={'Unnamed: 0': 'Sector'}, inplace=True)
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Total countries in peer groups: 18

Columns in df_gender: ['Sector', 'seniority_name_display', '110.Entry-Level', '120.Experienced', '130.Distinguished', '200.Entry-Level Manager', '210.Experienced Manager', '220.Director-Level', '300.Vice President-Level', '310.CXO-Level', '320.Organizational Governance']

Filtered seniority data shape: (39, 11)
Countries found in data: ['Algeria', 'Chile', 'Colombia', 'Ecuador', 'Egypt', 'Ghana', 'Jordan', 'Malaysia', 'Morocco', 'Peru', 'Poland', 'Romania', 'Tunisia']

Exported peer countries seniority data to ../../data/linkedin/processed/women_seniority_curves_peer_countries.csv
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