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Overview
Hong Kong · 2001–2024
Beyondthe Diploma:
Structural Barriers Facing Hong Kong’s Women
A data story tracing education, participation, unemployment and underemployment in Hong Kong from 2001 to 2024.
Original date
Oct–Nov 2025
Original duration
6 weeks
Original team
4 members
Current role
Redesign lead—editorial direction, data restructuring, redesign of all six visualisations and final integration
Key contributions
Editorial reframing · data audit and restructuring · six-chart visualisation redesign and rebuild · motion, interaction and single-page integration
View full redesign contribution record
- Reframed the research question and six-chapter editorial sequence
- Audited source files, metrics, denominators, suppression and year coverage
- Rebuilt the processed datasets and documented their source lineage
- Redesigned the chart family and encoding for all six visualisations
- Built consistent interactions, draggable year controls and one-run animations
- Established the typography, colour, spacing and responsive visual system
- Prepared social-animation routes and stable still-frame controls
- Integrated and quality-checked the final single-page experience
Datasource:
Hong Kong Census and Statistics Department. The six charts use annual figures; each chart’s notes explain the population covered and any exclusions.
Education
01/ THE PROMISE
Women reached half of degree holders.
Women’s share of degree holders rose from 43.3% in 2001 to 51.0% in 2024. The six education levels followed different paths, but women’s growing presence among degree holders is clear. What does that progress tell us about their working lives?
Source: Hong Kong Census and Statistics Department, Women and Men in Hong Kong, Table E623 2A. Sex ratio converted to shares; no population counts are inferred.
Underemployment
02/ WITHIN THE LABOUR FORCE
Employment is not always sufficient employment.
Women’s overall underemployment rate rose from 0.6% in 2019 to 2.8% in 2020, before falling to 0.7% in 2024, below men’s 1.6%. The heatmap shows how unevenly the shock and recovery were distributed across industries and occupations. This is one favourable result within the labour force; it does not describe every aspect of women’s working lives.
Scope: the heatmap covers women only. The separate 2024 overall comparison covers ages 15+ and includes foreign domestic helpers. Underemployment measures insufficient working hours under the official definition; it does not measure pay, overqualification or people outside the labour force.
Sources: Hong Kong Census and Statistics Department Tables 210-06504 and 210-06505; Women and Men in Hong Kong—Key Statistics, 2025 edition, Table 5.3, for the 2024 overall rates by sex (ages 15+, including foreign domestic helpers). Heatmap values are underemployment rates; suppressed cells are marked as not published.
Unemployment
03/ AFTER A JOB ENDS
Unemployment carries an industry history.
The recovery in working hours does not tell us how job loss is distributed. Among unemployed people in 2024, construction accounted for 21.0% of men, while retail, food and accommodation—and finance-related services—each accounted for 22.5% of women. These different former-industry profiles describe where unemployed women and men had worked, rather than ranking their overall employment prospects.
These are shares of unemployed people by their previous industry—not each industry’s unemployment rate.
Sources: Hong Kong Census and Statistics Department Tables 210-06408 and 210-06101. Suppressed components remain unavailable; first-time job-seekers and re-entrants appear only in the denominator.
Duration
04/ PERSISTENCE
Remaining unemployed is a different problem.
Those industry profiles lead to a second question: how long have people remained unemployed? In 2024, men had the higher share unemployed for at least six months in four of the five industries with figures published for both sexes. Together, the hours and unemployment charts resist a uniform story of female disadvantage. They describe different experiences among people already in the labour force.
Source: Hong Kong Census and Statistics Department Table 210-06409. Shares are derived from rounded official counts; suppressed durations stay visibly unknown and are never forced to 100%.
Ageing Workforce
05/ WHO IS IN WORK
Employment has shifted to later ages.
The people represented by employment statistics have also changed. Between 2014 and 2024, the share of employed women aged 55 or above rose from 14.0% to 24.8%; the same shift appears among employed men. This chart describes the age composition of people in work. To see who participates, the next chart compares women and men with the population of each age group.
Source: Hong Kong Census and Statistics Department Table 210-06301A. Employment age composition within each sex; foreign domestic helpers excluded.
Participation
06/ WHO PARTICIPATES
The midlife participation gap barely narrowed.
At ages 40–44, the participation gap was 25.5 percentage points in 2014 and 25.0 in 2024. Women’s educational representation advanced, yet this midlife gap barely narrowed.
Among economically inactive people aged 15+ in 2024, 32.0% of women and 3.5% of men cited household duties as their reason for inactivity. This wider population comparison brings the unequal distribution of household responsibilities into view; it does not quantify how much of the 40–44 participation gap those responsibilities explain.
Sources: Hong Kong Census and Statistics Department Tables 210-06201A, 210-06301A and 210-06302A. Participation rates use the corresponding age-and-sex population. Education and participation figures do not track the same individuals. Household duties: Women and Men in Hong Kong—Key Statistics, 2025 edition, Table 5.1; percentages refer to economically inactive people aged 15+ within each sex, not the 40–44 age group.
Synthesis
Beyond a single progress story
More degrees.
Work remains unequally divided.
Women’s growing share of degree holders is real progress. The hours and unemployment charts show that women do not fare worse on every measure within the labour force, while industry profiles and employment ages reveal different positions within it.
The persistent midlife participation gap, alongside the large sex difference in household-related inactivity, shifts the question from qualifications alone to how paid work and household responsibilities are distributed. Educational progress can coexist with unequal conditions for participating in paid work. A favourable employment indicator cannot settle that broader question.
These population-level comparisons do not follow the same graduates or establish the causes of the gap.
Originally created as four-person coursework, this portfolio edition rebuilds the data, reframes the editorial narrative and redesigns all six visualisations as one integrated story.