A Comprehensive Data-Driven Research Report on Women in Labour Force, Entrepreneurship, and Leadership & Politics — Tanzania 2025 Edition
Tanzania stands at a critical economic crossroads. With a female labour force participation rate of 80% — well above the Sub-Saharan Africa average of 63% — and women owning 54% of MSMEs, the foundations for transformative gender-inclusive growth are in place. Yet structural barriers — a $1.7 billion financing gap, discriminatory inheritance laws, a 10.5 percentage-point NEET gender gap, and 4.6 hours of daily unpaid care burden — prevent women from fully translating their labour into economic output.
Womenomics — the economic empowerment of women as a driver of GDP growth — is not merely a gender equity issue; it is Tanzania's most underutilized growth lever. Research by the McKinsey Global Institute estimates that advancing women's equality in Africa could add $316 billion to the continent's GDP by 2025. For Tanzania, closing key gender gaps in agriculture, employment, and entrepreneurship alone could add 2.5–4.5 percentage points to annual GDP growth — pushing Tanzania towards 7–8% annual growth by 2030.
Tanzania's SIGI Family Discrimination score stands at 87/100 (very high discrimination). Customary law — which governs inheritance, marriage, and property rights for the majority of Tanzania's rural population — remains the deepest structural barrier to Womenomics progress. Without legal reform of the Law of Marriage Act 1971 and Local Customary Law Declaration No. 4, economic reforms will face a hard ceiling.
Women in the Labour Force & Employment
Women in Entrepreneurship & Business
Women in Leadership & Politics
Tanzania is East Africa's second-largest economy. Understanding the macro environment is essential to contextualise Womenomics opportunities and constraints.
Tanzania is East Africa's second-largest economy, with a GDP of approximately $79 billion (2024) and real GDP growth of 5.6% in 2024. Despite achieving lower-middle-income status, gender-based economic exclusion remains a significant drag on potential output.
| Indicator | Value | Year | Source |
|---|---|---|---|
| GDP (Current USD) | $79 Billion | 2024 | World Bank |
| GDP Growth Rate | 5.6% | 2024 | World Bank |
| Inflation Rate | 3.1% | 2024 est. | NBS Tanzania |
| Population | 68.6 Million | 2024 | World Bank |
| Female Population | 34.6 Million (50.4%) | 2024 | World Bank |
| GDP per Capita | ~$1,175 | 2024 | World Bank |
| GDP Growth Forecast | 5.9–6.0% | 2025 | IMF / Bank of Tanzania |
| GDP Growth Forecast | 6.1–6.3% | 2026 | IMF / Fitch Ratings |
| Female LFPR | 80% (80% vs SSA avg 63%) | 2025 | ILO / TICGL |
Tanzania's trajectory on the WEF Global Gender Gap Index reflects incremental but uneven progress. The country improved from 0.718 in 2016 to 0.736 in 2025, with notable volatility in rankings due to shifting performance by comparator countries.
| Year | Overall Score | Global Rank | SSA Rank | Econ. Participation | Political Empowerment |
|---|---|---|---|---|---|
| 2016 | 0.718 | — | — | 0.686 | 0.135 |
| 2018 | 0.716 | — | — | 0.680 | 0.148 |
| 2020 | 0.713 | 73rd | — | 0.671 | 0.152 |
| 2021 | 0.707 | 80th | — | 0.643 | 0.157 |
| 2022 | 0.719 | 68th | 13th | 0.671 | 0.175 |
| 2023 | 0.721 | 65th | 12th | 0.676 | 0.185 |
| 2024 | 0.734 | 57th | 10th | 0.605 | 0.220 |
| 2025 ★ | 0.736 | 55th | 10th | 0.736 | 0.225 |
| Sub-Index | Score (0–1) | Gap Closed (%) | Global Notes |
|---|---|---|---|
| Economic Participation & Opportunity | 0.736 | 73.6% | Rank 55th globally; improved from 2024 |
| Educational Attainment | 0.949 | 94.9% | Near parity; strong performance |
| Health & Survival | 0.960 | 96.0% | Excellent outcome |
| Political Empowerment | 0.225 | 22.5% | Weakest pillar; major gap |
| OVERALL | 0.736 | 73.6% | Rank 55/148 globally, 10th in SSA |
Rwanda leads East Africa in economic participation opportunities for women (score: 0.821), driven by deliberate gender quota legislation and post-genocide reconstruction policies that centred women's economic integration. Tanzania's high female LFPR does not translate into equivalent economic empowerment because of structural quality-of-work issues: most women are in subsistence agriculture or the informal sector, not formal employment or business ownership.
Tanzania's female labour force participation rate of 80% is one of the highest in Sub-Saharan Africa and significantly above the global average of 51.07%. This high participation, however, is concentrated in low-productivity informal and subsistence agriculture sectors.
| Year | Female LFPR (%) | Male LFPR (%) | Gender Gap (pp) | SSA Average Female (%) |
|---|---|---|---|---|
| 2019 | 80.0 | 88.0 | 8.0 | 63.0 |
| 2020 | 76.1 | 89.1 | 13.0 | 61.5 |
| 2021 | 79.5 | 89.5 | 10.0 | 62.1 |
| 2022 | 76.8 | 88.8 | 12.0 | 62.4 |
| 2023 | 77.1 | 88.5 | 11.4 | 62.8 |
| 2024 | 79.0 | 88.0 | 9.0 | 63.0 |
| 2025 est. | 82.0 | 88.5 | 6.5 | 63.0 |
The Tanzania Integrated Labour Force Survey (ILFS) 2020/21 reveals deep gender-based structural differences in employment composition — with women overrepresented in subsistence agriculture and informal trade.
| Employment Category | Women (%) | Men (%) | Gender Gap (pp) | Key Observation |
|---|---|---|---|---|
| Agriculture (Subsistence) | 53.7 | 38.2 | -15.5 | Women overrepresented |
| Agriculture (Commercial) | 8.1 | 12.3 | -4.2 | Men dominate commercial |
| Manufacturing | 4.2 | 7.1 | -2.9 | Low female entry |
| Trade & Services (Informal) | 24.5 | 16.8 | +7.7 | Women concentrated here |
| Professional / Technical / Mgmt | 4.3 | 9.8 | -5.5 | Significant gap |
| Part-Time Employment | 34.0 | 18.0 | -16.0 | Women 16pp more in part-time |
| Full-Time Formal Employment | 28.0 | 44.0 | -16.0 | Critical formal gap |
The 16 percentage-point gap in full-time employment (28% women vs. 44% men) is one of Tanzania's most critical Womenomics challenges. Part-time and informal work limits women's pension accrual, social protection access, and wage growth. This single gap is estimated to cost Tanzania ~$0.8 billion per year in foregone high-productivity female labour output.
| Age Group | Female Emp. Rate (%) | Male Emp. Rate (%) | Gender Gap (pp) | Context |
|---|---|---|---|---|
| 15–24 (Youth) | 70.8 | 78.5 | 7.7 | Entry barriers for young women |
| 25–34 (Young Adult) | 75.1 | 85.4 | 10.3 | Childbearing impact |
| 35–44 (Peak Age) | 80.3 | 89.2 | 8.9 | Strongest female participation |
| 45–54 (Mature) | 78.8 | 87.1 | 8.3 | Sustained engagement |
| 55–64 (Pre-Retirement) | 72.4 | 82.6 | 10.2 | Informal sector dominance |
| 65+ (Elderly) | 52.3 | 65.1 | 12.8 | Pension & care dependency |
Despite high participation rates, women in Tanzania face a structural earnings disadvantage driven by concentration in low-wage informal sectors, limited access to skills training, and occupational segregation. The unadjusted gender pay gap stands at approximately 2.5% (WEF 2025), but this masks much wider sector-specific disparities.
| Indicator | Women | Men | Gender Ratio (F/M) | Source |
|---|---|---|---|---|
| Median Income — Agriculture (TZS/month) | 55,000 | 72,000 | 0.76 | ILFS 2020/21 |
| Median Income — Informal Services (TZS/month) | 80,000 | 110,000 | 0.73 | ILFS 2020/21 |
| Median Income — Formal Sector (TZS/month) | 320,000 | 420,000 | 0.76 | ILFS 2020/21 |
| Wage Equality Score (WEF Index) | 0.61 | 1.00 | 0.61 | WEF GGGI 2025 |
| Unadjusted Gender Pay Gap | ~2.5% gap (WEF reported) | — | WEF / TICGL 2025 | |
| Women in Management (Senior) | ~18% | ~82% | 0.22 | ILO 2024 |
| Barrier | Affected Women (%) | Urban vs Rural | Policy Response Exists? |
|---|---|---|---|
| Unpaid care work burden | 78% | Both (rural worse) | Partial — no national childcare policy |
| Limited mobility & transport | 62% | Rural dominant | No dedicated policy |
| Gender discrimination in hiring | 48% | Urban worse | Employment & Labour Act 2004 |
| Lower educational attainment (tertiary) | 41% | Both | Education Act 2016 |
| Early marriage & pregnancy | 38% | Rural dominant | Law of Marriage Act (under reform) |
| Lack of access to finance / capital | 52% | Both | Partial — microfinance targeted |
| No sexual harassment law in private sector | 35% | Urban worse | Pending legislation |
Women constitute a dominant force in Tanzania's micro, small, and medium enterprise (MSME) landscape. Despite owning 54% of all MSMEs, women-owned enterprises remain concentrated in low-productivity, low-growth sectors.
| Sector | % Women-Owned Businesses | Avg. Revenue (TZS/yr) | Growth Potential | Key Constraint |
|---|---|---|---|---|
| Petty trade / Market vending | 38% | 1.2M – 3.6M | Low | Market fees, no storage |
| Food processing & catering | 18% | 2.4M – 8.4M | Medium | Capital, equipment |
| Agriculture & horticulture | 15% | 1.8M – 5.4M | Medium-High | Land rights, inputs |
| Tailoring & textiles | 8% | 1.8M – 4.8M | Medium | Skills, machines |
| Beauty & personal services | 7% | 2.4M – 6.0M | Medium | Premises, licensing |
| Digital / Tech / Professional | 4% | 6.0M – 24M | High | Skills, connectivity |
| Other | 10% | Varies | — | — |
| WBL Indicator | Score (0–100) | Key Issue | Reform Status |
|---|---|---|---|
| Mobility | 100 | Full freedom of movement | No reform needed |
| Workplace | 75 | No sexual harassment law in private sector | Pending |
| Pay | 100 | Equal pay mandated | Implemented |
| Marriage | 60 | Law of Marriage Act 1971 discriminatory provisions | Under review |
| Parenthood | 70 | Only 84 days maternity (ILO minimum: 98 days) | Reform proposed |
| Entrepreneurship | 50 | No legal prohibition on gender-based credit discrimination | No action |
| Assets | 40 | Customary Law Declaration No. 4 blocks equal inheritance | Unreformed |
| Pension | 75 | Part-time workers (mostly women) accrues lower pensions | Reform pending |
| OVERALL WBL SCORE | 71.3 / 100 | 4th in EAC — behind Rwanda (89.4), Kenya (82.5), Uganda (74.4) | |
Tanzania's WBL Entrepreneurship score of 50/100 and Assets score of 40/100 reflect the absence of any legal prohibition on gender-based credit discrimination and the continued operation of customary inheritance laws that deny women equal property rights. These legal gaps are directly responsible for a significant portion of the $1.7 billion financing gap facing women entrepreneurs.
Tanzania made history in 2021 when Samia Suluhu Hassan became Africa's first female president to complete a term. Yet structural barriers limit women's direct political power — only ~10% of directly elected parliamentary seats are held by women.
| Parliament Term | Total MPs | Women MPs (Total) | Directly Elected Women | Special Seat Women | Women % of Parliament |
|---|---|---|---|---|---|
| 2009–2010 | 350 | 109 | 17 | 92 | 31.2% |
| 2011–2015 | 357 | 126 | 21 | 102 | 35.3% |
| 2016–2020 | 393 | 145 | 26 | 113 | 36.9% |
| 2020–2025 (current) | 393 | 142 | 26 | 113 | 36.2% |
| 2025+ (post-election est.) | 390 est. | ~145 est. | ~35 est. | ~115 est. | ~37% est. |
Of the 264 directly elected constituency seats in the 2020–2025 Parliament, only 26 were won by women — approximately 10%. The remaining 113 women MPs hold Special Seats — quota seats allocated proportionally to parties and filled by party appointment, not public vote. Special Seat MPs face institutional barriers including exclusion from constituency development funds and restricted committee chairmanship access. Tanzania's headline 36.2% figure thus overstates the depth of women's political empowerment.
| Position / Category | Total | Women | Women % | Year |
|---|---|---|---|---|
| President | 1 | 1 | 100% ★ | 2021–2025 |
| Cabinet Ministers | 26 | 9 | 34.6% | 2024 |
| Deputy Ministers | 19 | 7 | 36.8% | 2024 |
| Regional Commissioners | 26 | 9 | 34.6% | 2024 |
| District Commissioners | 138 | ~48 | ~35% | 2024 |
| Ambassadors / High Commissioners | ~50 | ~15 | ~30% | 2024 |
Education is the foundation of Womenomics. Tanzania has made significant strides in closing the gender education gap at the primary level, driven by the Free Education Policy (2016). However, secondary completion, tertiary enrolment, and vocational training enrolment remain areas of concern.
| Education Indicator | Female (%) | Male (%) | Year | Source |
|---|---|---|---|---|
| Lower Secondary Completion Rate | ~36% | ~32% | 2024 | World Bank |
| Secondary School Gross Enrollment Rate | ~29.2% | ~27.0% | 2021 | UNESCO / Helgi Library |
| Secondary Enrollment (Forecast) | ~30–32% | ~29% | 2025 est. | WB / Tanzania MoEST |
| Tertiary Enrollment Rate | ~4.5% | ~7.1% | 2023 | UNESCO |
| Vocational Training (VETA) Female Enrollment | ~35% | ~65% | 2023 | VETA Tanzania |
A 10.5 percentage-point female-male NEET gap means approximately 1.2–1.5 million young Tanzanian women are economically and educationally inactive at any given time. Closing this gap alone would add an estimated $0.5 billion per year to Tanzania's GDP through increased female youth employment and earnings.
| NEET Indicator | Female (%) | Male (%) | Gender Gap (pp) | Source |
|---|---|---|---|---|
| Youth NEET Rate (15–24), 2025 forecast | 20.0% | 9.5% | 10.5 pp | TICGL / Afrobarometer 2025 |
| Youth NEET Rate (15–24), 2023 | ~19.2% | ~9.1% | 10.1 pp | ILO / ILFS 2020/21 |
| Urban Female NEET Rate | ~15% | ~7% | 8 pp | NBS / TICGL est. |
| Rural Female NEET Rate | ~24% | ~11% | 13 pp | NBS / TICGL est. |
| NEET linked to early marriage | ~60% of female NEET | N/A | — | UN Women 2024 |
Maternal health improvements are among Tanzania's most dramatic development achievements — and a direct Womenomics enabler. A healthy, reproductively empowered woman is more able to participate in the economy, invest in her children, and build a sustainable livelihood.
| Health Indicator | Value | Year | Source | Trend |
|---|---|---|---|---|
| Maternal Mortality Ratio (per 100,000) | 556 | 2016 | WHO / World Bank | Baseline |
| Maternal Mortality Ratio (per 100,000) | 238 | 2020 | WHO / World Bank | ↓ 57% from 2016 |
| Maternal Mortality Ratio (per 100,000) ★ | 104 | 2025 | Africa CDC / NEJM | ↓ 80% from 2016 |
| Adolescent Birth Rate (per 1,000 aged 15–19) | ~112 | 2023 | UN Women / World Bank | Stubbornly high |
| Contraceptive Prevalence Rate (modern) | ~38% | 2022 | TDHS 2022 | Increasing |
| Skilled Birth Attendance | ~83% | 2022 | TDHS 2022 | Strong improvement |
| HIV Prevalence (Women aged 15–49) | ~5.2% | 2023 | UNAIDS 2024 | Declining but elevated |
The 80% decline in Tanzania's maternal mortality ratio (556 → 104 per 100,000) between 2016 and 2025 is a global development benchmark. This transformation — driven by increased facility deliveries, skilled birth attendance, and community health workers — has freed millions of women from reproductive health constraints and enabled greater economic participation.
| SIGI Domain | Score (0–100) | Level | Key Issues | Policy Priority |
|---|---|---|---|---|
| Discrimination in the Family | 87 | Very High | Inheritance rights, polygamy, customary marriage law | CRITICAL — Law reform needed |
| Restricted Physical Integrity | 35 | Medium | Gender-based violence, FGM, reproductive autonomy | GBV Comprehensive Law (pending) |
| Restricted Access to Resources | 30 | Low–Medium | Land ownership (11% large plots), credit access | Targeted finance + land reform |
| Restricted Civil Liberties | 35 | Medium | Political voice, freedom of movement, civic participation | Electoral system reform |
| OVERALL SIGI SCORE | ~50 | High Discrimination | Persistent social norms constrain all economic domains | Integrated national gender strategy |
| Unpaid Work Indicator | Women | Men | Gender Gap | Economic Cost |
|---|---|---|---|---|
| Daily unpaid care hours | 4.6 hrs | 1.2 hrs | 3.4 hrs/day | ~$2.1B in foregone female labour/year (est.) |
| % cite care as reason for not working | ~42% | ~3% | 39 pp | Major LFPR barrier |
| Childcare coverage (formal/subsidized) | <5% of children | — | Critical infrastructure gap | |
| % time in water & fuel collection | ~18% of care time | ~6% | 12 pp | Rural energy/water access |
| % reporting domestic violence (12 months) | ~28% (rising) | — | — | GBV cases rose 28% by 2024 |
Tanzania's economy is growing. But it could grow much faster. Closing gender gaps is the highest-return investment Tanzania can make.
| Year | Real GDP Growth (%) | GDP (USD est.) | GDP per Capita (USD) | Key Growth Drivers |
|---|---|---|---|---|
| 2023 | 5.1% | ~$79B | ~$1,175 | Agriculture, Manufacturing |
| 2024 | 5.46–5.7% | ~$86B | ~$1,268 | Public Investments, Tourism |
| 2025 (est.) | 5.9–6.0% | ~$91B | ~$1,325 | Private Sector, Infrastructure |
| 2026 (forecast) | 6.1–6.3% | ~$95B | ~$1,380 | Reforms, Exports, Digital Economy |
| Scenario | Policy Action | Estimated Annual GDP Impact | Timeframe |
|---|---|---|---|
| Agriculture gender parity | Equal land access + inputs + extension services | +0.86% GDP/year | 5–10 years |
| Close female NEET gap (−10.5 pp) | Education retention + skills training | +0.4% GDP/year | 5–8 years |
| Close formal employment gap (−16 pp) | Childcare legislation + equal hiring | +1.5% GDP | 10 years |
| Close MSME financing gap ($1.7B) | Credit non-discrimination law + women's fund | +0.8% GDP | 5–7 years |
| Reduce unpaid care burden (3.4 hrs/day gap) | Childcare infrastructure investment | +0.6% GDP/year | 5 years |
| TOTAL WOMENOMICS DIVIDEND | Comprehensive Womenomics integration | +2.5–4.5 pp GDP/year | 2025–2035 |
| Challenge Area | Severity (1–5) | Impact Domain | Current Status |
|---|---|---|---|
| Legal discrimination in credit access | 5/5 — Critical | Entrepreneurship | No law prohibiting gender-based credit discrimination |
| Discriminatory inheritance & land rights (customary law) | 5/5 — Critical | Assets, Agriculture, Business | Customary Law Declaration No. 4 unreformed |
| SIGI Family domain (score: 87/100) | 5/5 — Critical | All economic & social domains | Deep social norms; requires multi-generational effort |
| Gender-based violence — cases rose 28% by 2024 | 5/5 — Critical | All domains | Draft comprehensive GBV law pending |
| Unpaid care burden (4.6 hrs/day women vs 1.2 men) | 4/5 — High | Employment, LFPR, Business | No national childcare policy; ~$2.1B annual cost |
| Special Seats system limits women's direct political power | 4/5 — High | Political Representation | Electoral system reform needed; bills proposed but not enacted |
| Women owning <20% of agricultural land | 4/5 — High | Agriculture, Assets | Land reform initiatives underway |
| Pillar | Key Metric | Tanzania Value | Benchmark / Target | Status |
|---|---|---|---|---|
| Labour Force | Female LFPR | 82% (2025 est.) | SSA avg: 63% ✓ | Strong |
| Labour Force | Full-time employment (women) | 28% | Men: 44%; Target: 40% | Needs Work |
| Labour Force | Female unemployment (urban) | ~19–20% | Male: ~10% | Critical Gap |
| Entrepreneurship | Women MSME ownership | 54% | High base ✓ | Strong Base |
| Entrepreneurship | Women's financing gap | $1.7B shortfall | Target: Zero | Critical Gap |
| Entrepreneurship | WBL Entrepreneurship score | 50/100 | Regional avg: 62 | Critical Gap |
| Politics | Women in Parliament | 36.2% | Target: 50% | Structural Gap |
| Politics | Directly elected women MPs | ~10% | Target: 30%+ | Critical Gap |
| Education | Secondary enrollment | ~30% | Target: 60%+ | Improving |
| Education | Female youth NEET rate | 20% | Male: 9.5%; Target: <12% | Critical Gap |
| Health | Maternal mortality | 104 / 100,000 | SDG: <70 by 2030 | Excellent Progress |
| Social Norms | SIGI Family Discrimination | 87/100 | Target: <30 | Critical Gap |
| Gender Index | WEF GGGI Score | 0.736 | Rank 55/148 | Mid-Range |
Tanzania's Womenomics story is one of significant potential constrained by persistent structural barriers. The country has genuine foundations for gender-inclusive growth: a female labour force participation rate above regional averages, a female head of state, majority MSME ownership, and dramatic improvements in maternal health. Yet the structural barriers — discriminatory customary law, a $1.7 billion financing gap, the Special Seats paradox, and the unpaid care burden — prevent women from translating their economic participation into full economic empowerment.
The data is unambiguous: Tanzania's real GDP, growing at 5.9–6.0% in 2025 and forecast at 6.1–6.3% in 2026, could be boosted by an additional 2.5–4.5 percentage points through comprehensive Womenomics integration — making Tanzania one of Africa's fastest-growing economies. The window is now open. The returns are clear. The question is whether political will and policy action can match the economic imperative.
This report draws on data from: World Economic Forum (GGGI 2025), World Bank (WDI, Global Findex 2024, WBL 2024), ILO (ILFS 2020/21, LMP Tanzania 2024/25), IPU Parline (2025), NBS Tanzania, UN Women, OECD SIGI 2023, Africa CDC / NEJM (2025), UNAIDS (2024), TDHS (2022), MEDA (2025), REPOA (2023), McKinsey Global Institute (2019), IMF WEO (2025), African Development Bank (2024), Afrobarometer (2025), and TICGL proprietary analysis. Full reference list available in the complete research report.