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The Rising Cost of Unseen Hours: Tanzania's Unpaid Care Burden Could Reach USD 3.3–3.6 Billion by 2030/31 — TICGL/TERI
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A Companion Study to Womenomics Tanzania — TICGL/TERI Research Report
TICGL/TERI Research Unpaid Care Work Time Poverty Womenomics Tanzania Gender & Economy

The Rising Cost of Unseen Hours: Tanzania's Unpaid Care Burden Could Reach USD 3.3–3.6 Billion a Year by 2030/31

Today, the average Tanzanian woman loses 4.4–4.6 hours a day to unpaid care and domestic work — fetching water, gathering fuel, cooking, cleaning, and caring for children, the elderly and the sick — against just 1.2–1.4 hours for the average man, confirmed by 2025/26 data. TICGL estimates this already costs the economy approximately USD 2.1 billion a year. Left unaddressed, and tracking Tanzania's own GDP growth path, TICGL projects that cost could climb to USD 3.3–3.6 billion a year by 2030/31 — while a conservative, evidence-based policy push could hold it closer to USD 2.6–2.9 billion, saving the economy an estimated USD 2.5 billion cumulatively over the next six years. This update is intended to inform policy planning ahead of Tanzania's FYDP IV mid-term review and Vision 2050 targets.

📅 Published: September 2026 · Updated with current data 📍 Dar es Salaam, Tanzania 📖 Reading time: ~16 minutes ✍️ Prepared by: TICGL / TERI Economics Team
Cost Today (2025/26)
$2.1B ≈2.4% of GDP
Projected Cost by 2030/31 (No Action)
$3.3–3.6B TICGL projection
Projected Cost by 2030/31 (With Policy Action)
$2.6–2.9B −20% vs no-action path
Potential 6-Year Savings (2026–2031)
≈$2.5B If policy acts now

Current-data figures drawn from TICGL's Womenomics Tanzania 2025 research, NBS Integrated Labour Force Survey (ILFS) 2020/21 and 2024 (released December 2025), UNFPA Tanzania (2026, citing NBS 2025), Laterite/IDRC and ESRF baseline studies, UN Women, and OECD SIGI. See the 2030/31 outlook and sources.

01 — OverviewExecutive Summary

Every day, the average Tanzanian woman loses 4.4–4.6 hours to unpaid care and domestic work — fetching water, gathering fuel, cooking, cleaning, and caring for children, the elderly, and the sick — compared with just 1.2–1.4 hours for the average man. That roughly 3.2–3.4-hour daily gap sits at the centre of why a country with one of Africa's highest female labour force participation rates (80–82%) still under-realises women's economic contribution — and, on TICGL's projection, the gap's economic cost is on track to grow substantially faster than the burden itself over the rest of this decade. Six findings frame this update.

  • The figures are current, not dated. A 2026 UNFPA Tanzania study citing NBS 2025 data, and Tanzania's own 2024 Integrated Labour Force Survey (released December 2025), independently confirm the same gap — this is not a stale 2020/21 snapshot.
  • A 3.2–3.4-hour daily gender gap in unpaid care and domestic work (4.4–4.6 hrs for women vs 1.2–1.4 hrs for men), widening to 3.9 hours in dual-adult rural households (5.5 hrs vs 1.6 hrs).
  • An estimated USD 2.1 billion annual cost today in foregone female labour output — one of four structural barriers in TICGL's Womenomics Tanzania framework, alongside a USD 1.7bn MSME financing gap, an 87/100 SIGI Family Discrimination score, and a 10.5pp female youth NEET gap.
  • On TICGL's projection, that cost could reach USD 3.3–3.6 billion a year by 2030/31 if the burden simply keeps pace with Tanzania's projected GDP growth — but a conservative, evidence-based policy push could hold it to USD 2.6–2.9 billion, an estimated USD 2.5 billion in cumulative savings by 2031. This is the central case for treating the unpaid care burden as an economic policy priority now, not later.
  • Water and fuel collection alone consume 3–4 hours a day in some rural districts (notably Singida and Shinyanga) — meaning basic infrastructure gaps, not just social norms, drive a large share of the burden.
  • Deliberate policy moves the needle everywhere it has been tried — 22% lower absenteeism in Rwanda's tea sector, 31% higher female employment in Kenyan/Ethiopian childcare pilots, and near gender-parity employment sustained for decades in the Nordic countries through public investment.
📌

Read this alongside TICGL's Womenomics Tanzania report

This study develops one finding from TICGL's flagship Womenomics Tanzania research — the unpaid care time burden — into a dedicated, data-driven analysis with full international comparative evidence. Together, the two reports give the fuller picture of Tanzania's gender-responsive growth potential.

Read: Womenomics Tanzania →

02 — At a GlanceKey Figures

Female Labour Force Participation
80–82%
vs SSA average of 63%
Full-Time Formal Employment
28% / 44%
Women vs men — 16pp gap
Cite Unpaid Care as Work Barrier
42–78%
Women, vs ≈3% of men
Formal/Subsidised Childcare Coverage
<5%
Of children nationally
Potential Womenomics GDP Dividend
+2.5 to +4.5pp
If all structural gender gaps close
Unpaid-Care-Specific GDP Contribution
+0.6pp
Over five years, via childcare + infrastructure
Global Daily Unpaid Care Hours
16.4bn
≈2bn people working 8hr days unpaid
Global Value of Unpaid Care
≈$11 trillion
At minimum-wage valuation

Daily Unpaid Care & Domestic Work — Women vs Men

Hours per day, national average and dual-adult rural households

Source: NBS Integrated Labour Force Survey (ILFS) 2020/21; Laterite/IDRC/ESRF baseline studies.

1. The Tanzania Data Picture: How Much Unpaid Time Is Involved?

4.4–4.6 hrs/day, women
Section I of VI

Unpaid care and domestic work is, by definition, work that produces goods and services for a household's own consumption without a wage — and it is systematically excluded from GDP. In Tanzania, national time-use evidence converges on a consistent picture: women spend roughly three and a half times as many hours as men on this work every day, a gap that widens further in dual-adult rural households.

1.1 What Fills the 4.4–4.6 Hours?

  • Water collection — particularly burdensome in rural areas, where households frequently travel 5–20 kilometres or more during the dry season.
  • Fuel and firewood collection — women and girls often spend several hours weekly gathering fuel, with significant time costs in regions such as Singida and Shinyanga.
  • Meal preparation and cooking — the single most time-intensive domestic task for women.
  • Cleaning, laundry, and household maintenance.
  • Childcare and care of the elderly, sick, or disabled — often performed simultaneously with other tasks (multi-tasking), which time-use surveys frequently undercount.

In some rural districts, water and fuel collection alone consume 3–4 hours of the unpaid daily total — meaning basic infrastructure gaps (water points, clean-cooking access) are directly responsible for a large share of Tanzania's time-poverty burden, independent of household bargaining or social norms.

Why This Matters for GDP

TICGL estimates that closing the unpaid-care-time gap specifically — mainly through childcare and water/energy infrastructure — could add approximately +0.6 percentage points to Tanzania's annual GDP growth over five years, part of the broader +2.5 to +4.5 percentage-point "Womenomics dividend" available if all structural gender gaps are closed.

1.2 Where This Sits Within the Wider Womenomics Picture

TICGL's Womenomics Tanzania 2025 report situates the unpaid care burden as one of four structural barriers preventing Tanzania's high female labour force participation from converting into full economic empowerment — alongside a USD 1.7 billion MSME financing gap, a SIGI Family Discrimination score of 87/100 (very high), and a 10.5 percentage-point female youth NEET gap. Unpaid care work is distinctive among these because it is a time constraint, not primarily a capital, legal, or skills constraint — which means it responds differently to policy and requires infrastructure and public-service solutions rather than only financial or legal reform.

Confirmed by 2025/26 data — this is not a stale baseline

A 2026 UNFPA Tanzania study, citing NBS 2025 data, independently confirms women spend approximately 4–4.6 hours a day on unpaid care and domestic work against 1.2–1.4 hours for men — the same order of magnitude as the Womenomics baseline. Separately, Tanzania's 2024 Integrated Labour Force Survey (NBS, released December 2025 — the most current official labour-market data available) confirms the wider gender picture is unchanged in direction: women's unemployment (7.5%) remains well above men's (4.9%), informality has risen further to 94.6%, and gender wage gaps persist even as overall labour force participation rose to 73.2%. Together, these confirm the unpaid-care time gap is a live, current constraint, not a legacy figure from 2020/21.

Source: TICGL Womenomics Tanzania 2025; NBS ILFS 2020/21 and NBS ILFS 2024 (released Dec 2025); UNFPA Tanzania (2026, citing NBS 2025); Laterite/IDRC and ESRF baseline studies.

2. Economic Consequences: What Does This Unpaid Time Cost Tanzania?

≈USD 2.1 billion/year
Section II of VI

2.1 Constrained Paid Work and Entrepreneurship

The 4.4–4.6-hour daily unpaid burden directly limits the time available for income-generating activity, skills development, and business growth. Women own 54% of Tanzania's MSMEs — a strong entrepreneurial base — yet face a USD 1.7 billion financing gap. Time poverty compounds this: a woman with 3–4 fewer discretionary hours a day than her male counterpart has correspondingly less capacity to expand operations, travel to markets, attend business training, or pursue formalisation, regardless of how much capital she can access.

2.2 Occupational Segregation and Earnings

Women are heavily over-represented in subsistence agriculture (53.7% of employed women, versus 38.2% of men) and informal trade, and under-represented in commercial agriculture, manufacturing, and professional or managerial roles, where hours are more fixed and less compatible with simultaneous care responsibilities. Median monthly incomes in agriculture (TZS 55,000 for women versus TZS 72,000 for men) and informal services (TZS 80,000 versus TZS 110,000) reflect this concentration in lower-productivity, more time-flexible — but lower-paid — work. Only 28% of employed women hold full-time formal positions, against 44% of men.

2.3 The Cost to National GDP

TICGL estimates that closing key gender gaps — including the unpaid care time burden and the full-time formal employment gap — could add 2.5 to 4.5 percentage points to Tanzania's annual GDP growth.

Estimated Annual Cost of Structural Gender Gaps

USD billions — components linked to unpaid time and its downstream effects

Source: TICGL Womenomics Tanzania 2025; World Bank; FAO; McKinsey Global Institute.

2.4 Why Supportive Infrastructure Remains Limited

Formal or subsidised childcare coverage remains below 5% of children nationally. The absence of a comprehensive national childcare policy, combined with inadequate rural water and clean-cooking infrastructure, perpetuates the daily unpaid time burden — particularly for rural women. Roughly 42–78% of women (estimates vary by survey and region) cite care responsibilities as a direct barrier to taking up or sustaining paid work, compared with about 3% of men.

2.5 Projecting the Cost: What Happens Between Now and 2030/31?

$2.1B today → $3.3–3.6B by 2030/31 (no action)
TICGL Economic Outlook

The unpaid care burden's cost is not fixed — it moves with the economy around it. TICGL's outlook sets out two paths to 2030/31: a no-action path, where the burden stays at its current 2.4% share of GDP and its cost simply rises with Tanzania's own growth trajectory (IMF-projected nominal GDP), and a policy-action path, where a deliberate, phased set of interventions — sized conservatively against the lower end of results already documented in Rwanda, Kenya and Ethiopia — holds the burden down as the economy expands. The gap between the two paths is what is at stake for policy between now and 2030/31.

What would keep Tanzania on the lower-cost path?

2026–2027 — Establish the base: launch a national time-use survey through NBS to track the burden annually; pilot employer- and community-linked childcare in the highest-burden regions (Singida, Shinyanga, Dodoma), mirroring Rwanda's tea-sector model and Kenya/Ethiopia's community-centre approach.

2027–2029 — Scale what works: roll out successful pilots nationally with dedicated NDP IV budget lines; accelerate rural water-point and clean-cooking infrastructure in districts where water and fuel collection alone consume 3–4 hours a day.

2029–2030/31 — Lock in the gains: move formal/subsidised childcare coverage materially above its current sub-5% base; complete reform of the Law of Marriage Act 1971 to support equal sharing of care responsibilities; make unpaid-care indicators a standing line in gender-responsive budgeting so progress is tracked with the same rigour as GDP growth.

Projected Annual Cost of the Unpaid Care Burden, 2025–2031

USD billions — no-action path vs. policy-action path
Table 3: Annual cost of the unpaid care burden, 2025–2031 (USD billions)
YearTanzania GDP (IMF, USD bn)No-Action PathPolicy-Action PathAnnual Savings
2025 (baseline)87.342.102.10
202694.892.282.190.09
2027103.772.492.290.20
2028113.932.732.400.33
2029125.043.002.520.48
2030 (FYDP IV ends)137.193.292.630.66
2031151.963.652.920.73

Source: TICGL outlook, built on Womenomics Tanzania 2025 and IMF World Economic Outlook, April 2026 (GDP forecasts). Policy-action path assumes a 20% reduction in the burden phased in 2026–2030, informed by documented results in Rwanda, Kenya and Ethiopia.

Why this matters for policy timing

The gap between the two paths — roughly USD 2.5 billion cumulatively between 2026 and 2031 — is not money Tanzania loses if it does nothing; it is money Tanzania could keep if it acts within this FYDP IV cycle rather than the next one. Because the policy-action path assumes gains phase in gradually from 2026, every year of delay pushes the achievable 2030/31 savings further out of reach — the same dynamic documented internationally, where childcare and infrastructure investments took several years to show full employment and productivity effects.

3. Structural and Social Drivers of the Gap

Norms + infrastructure + invisibility
Section III of VI

The unequal 3.4-hour daily distribution of unpaid care time is not incidental — it is reinforced by identifiable structural and social factors that recur across the research base:

  • Gender norms and customary law: Tanzania's SIGI Family Discrimination score of 87/100 signals very high levels of discrimination in family and inheritance practices under the Law of Marriage Act 1971 and Local Customary Law Declaration No. 4 — norms that also shape who is expected to perform unpaid domestic labour.
  • Limited public service provision: insufficient investment in water, energy, and care infrastructure that could reduce the physical time required for domestic tasks.
  • Absence of systematic valuation: unpaid care time is largely invisible in national accounts and policy frameworks — the same measurement gap the ILO and OECD have flagged as a global "Beyond GDP" problem.

4. The Global Picture: How Big Is the Unpaid Care Economy Worldwide?

9–11% of world GDP
Section IV of VI

Tanzania's experience is a local instance of a pattern documented globally. Time-use survey data covering 64 countries and roughly two-thirds of the world's working-age population show that 16.4 billion hours are spent on unpaid care work every single day — equivalent to two billion people working eight-hour days with no pay. Valued at an hourly minimum wage, that labour is worth approximately USD 11 trillion, or roughly 9% of global GDP. The ILO's broader estimate, incorporating a wider range of valuation methods, puts the figure at 10–39% of GDP depending on country and method, with the OECD average at approximately 15% of GDP.

Globally, an estimated 708 million women are kept out of the labour force altogether by unpaid care responsibilities. Women perform roughly three-quarters (76%) of all unpaid care work worldwide, spending an average of about 4 hours 25 minutes a day against men's 1 hour 23 minutes — figures strikingly close to Tanzania's own 4.6-versus-1.2-hour split, suggesting Tanzania's pattern is a sharper version of a near-universal structural imbalance.

Unpaid Care Work — Value as a Share of GDP, by Region/Country

Percent of GDP — global comparison
Table 1: Regional variation in the value of unpaid care work
Region / CountryValue (% of GDP)Note
Global average9–11%ILO, valued at minimum wage; ≈USD 11 trillion
OECD average≈15%OECD member-state average
Latin America & Caribbean15.7–24.2%Women contribute ≈75% of this value
Brazil≈11%Larger than agriculture; twice the sector's value
Mexico6.6%Larger than education services (3.7%) or transport (6.2%)
India8% (up to 20–39%)≈USD 271 billion (Oxfam India, 2020)
Some economies (upper range)39–41%ILO / APEC conservative-to-upper estimates
Tanzania (implied, care-time only)≈2.4%USD 2.1B / USD 87.3B 2025 GDP — care-time component only, not a full valuation

Source: ILO time-use survey (64 countries); OECD; UNDP; Equal Measures 2030; APEC (2022); Oxfam India (2020); CIEP Mexico; TICGL Womenomics Tanzania 2025.

Two things stand out

First, unpaid care work is consistently larger, as a share of the economy, than sectors that receive far more policy attention — larger than manufacturing, transport, or education services in several of the countries measured. Second, Tanzania's own USD 2.1 billion estimate is a partial figure — it captures foregone labour output from the care-time gap specifically, not a full satellite-account valuation of the kind India, Mexico, and Brazil have produced.

5. International Comparisons: Lessons from Developed and Developing Economies

8 country cases examined
Section V of VI

Because unpaid care work is a near-universal constraint, a wide range of countries — at very different income levels — have experimented with policy responses. The evidence below is organised by what each type of economy has tried, and what measurably worked, to identify what is realistically transferable to Tanzania's context and fiscal space.

5.1 Developed Economies: Investing Public Money to Buy Back Women's Time

The clearest developed-economy model is the Nordic countries (Sweden, Denmark, Norway, Finland, Iceland), which built female labour force participation rates close to men's by treating childcare and eldercare as public infrastructure rather than a private family responsibility. Nordic countries spend roughly 1.5–2% of GDP on public childcare and family services — among the highest in the OECD — compared with about 0.5% of GDP in the US and UK. This spending, combined with extensive parental leave for both parents, sustained both high female employment and comparatively high fertility — though occupational segregation persists, a large part of the region's residual gender pay gap.

In the United States, where family caregiving is far less publicly supported, the economic value of unpaid family caregiving was estimated at USD 600 billion in 2021 alone (AARP's "Valuing the Invaluable" series) — a continuation of a 25-year rising trend, reflecting an ageing population and a comparatively thin public long-term-care system.

5.2 Developing and Emerging Economies: Recognise, Reduce, Redistribute

Lower- and middle-income countries facing tighter fiscal constraints than the Nordic states have converged on a lower-cost framework — commonly known as "3R" (Recognise, Reduce, Redistribute), recently extended by UN Women to "5R" by adding Reward and Represent for paid care workers.

East African Peer

Rwanda — Policy Integration

Women spend 23.7–26.7 hrs/week on unpaid care (≈3.4–3.8 hrs/day) vs 12.7–16.1 hrs/week for men — a gap structure very close to Tanzania's own. Integrated into the National Gender Policy (2021) and NST2. Tea-sector on-site childcare cut female worker absenteeism by 22%.

Pilot → National Policy

Kenya — Nakuru County Model

Community childcare bundled with business training and seed capital: female employment +31%, business ownership +138%, household food insecurity −17.8%, fathers' childcare involvement +23%. Informed Kenya's new National Care Policy, now before Cabinet.

Bundled Community Model

Ethiopia — Addis Ababa Centres

16 community care centres bundled with entrepreneurship training and parenting sessions: employment +31%, business ownership +138% — but little change in household decision-making power or IPV rates, showing time-relief alone doesn't shift power dynamics.

Legislated System

Mexico — National Care System

INEGI values unpaid care at 6.6% of GDP — larger than education (3.7%) or transport (6.2%). March 2024: formal "right to care" recognised in law; active push toward a full Sistema Nacional de Cuidados.

Measurement Scale

India — USD 271 Billion

Oxfam India's 2020 estimate valued women's unpaid work at ≈USD 271bn, ≈8% of GDP, with some methodologies putting the true figure at 20–39% under broader definitions.

Larger Than Agriculture

Brazil — ≈11% of GDP

Unpaid care work valued at ≈11% of GDP — larger than agriculture, and roughly twice the sector's contribution to national output.

Documented Results from International Care-Work Interventions

Percentage change in the outcome measured, by country pilot/programme
Table 2: Comparative snapshot — income level, unpaid care time, policy response, and result
CountryIncome LevelWomen's Daily Unpaid Care TimeHeadline Policy ResponseDocumented Result
TanzaniaLower-middle income4.4–4.6 hrsNo national childcare policy; <5% coverage≈USD 2.1B/yr estimated cost (care-time component)
RwandaLow income≈3.4–3.8 hrsNational Gender Policy + NST2 integration; employer childcare pilots−22% female absenteeism (tea sector pilot)
KenyaLower-middle incomen/a (regional pilot)National Care Policy (pending Cabinet approval)+31% employment, +138% business ownership (pilot)
EthiopiaLow incomen/a (urban pilot)Community childcare centres bundled with livelihoods support+31% employment, +138% business ownership (pilot)
MexicoUpper-middle income≈3.9 hrs (27.1 hrs/week)"Right to care" in law (2024); National Care System in progressUnpaid work valued at 6.6% of GDP
Nordic countriesHigh incomeLower gap; near gender parity in employmentPublic childcare ≈1.5–2% of GDP + parental leaveNear-parity female LFPR; occupational segregation persists
United StatesHigh incomen/a (thinner public system)Limited public long-term care; reliance on family caregiversUSD 600B annual value of unpaid family caregiving (2021)

Source: TICGL Womenomics Tanzania 2025; UN Women (Rwanda, Kenya, South Africa 3R Programme); IDRC Care Innovations (Kenya, Ethiopia); INEGI/CIEP Mexico; IZA/OECD Nordic childcare studies; AARP Valuing the Invaluable 2023.

03 — RecommendationsWhat This Means for Tanzania: Policy Implications

The comparative evidence points to a consistent, low-cost-first sequence that fits Tanzania's fiscal reality more closely than the Nordic model: measure and recognise the burden, reduce it through targeted infrastructure, redistribute it within households and communities, and — as coverage grows — reward and represent paid care work formally. This mirrors and reinforces the recommendations already set out in TICGL's Womenomics Tanzania 2025 report. TICGL's projection above adds a timing argument to this case: because the modelled policy-action savings phase in gradually, action taken within the current FYDP IV cycle (through 2030) captures materially more of the available USD 2.5 billion in cumulative savings than the same action taken a cycle later.

Recognise

  • Institutionalise a regular, dedicated national time-use survey through the National Bureau of Statistics, following the methodology used in India, Mexico, and Brazil, to produce a full unpaid-work satellite account.
  • Assign economic value to unpaid care time within national accounts and Womenomics-style scorecards, so it is visible alongside GDP growth targets.

Reduce

  • Expand access to clean water points and clean-cooking solutions where water and fuel collection alone consume 3–4 hours a day, prioritising districts such as Singida and Shinyanga.
  • Scale early childhood development and market-based or employer-linked childcare centres — following Rwanda's tea-sector and Kenya/Ethiopia's community-centre models — above the current sub-5% base.
  • Invest in labour-saving technology for domestic and agricultural tasks, a priority reduction lever also identified by Rwandan research.

Redistribute

  • Promote shared household responsibility through public awareness and community programmes engaging men and boys directly, following Rwanda's behaviour-change model — while calibrating expectations against the Ethiopia/Kenya evidence that such programmes shift employment and income faster than household decision-making power.
  • Strengthen legal frameworks — including reform of the Law of Marriage Act 1971 — supporting equal sharing of care responsibilities, alongside Mexico's example of legislating a formal "right to care".

Integrate

  • Incorporate unpaid care time indicators into NDP IV targets, gender-responsive budgeting, and performance monitoring systems, so reductions in the unpaid-care gap are tracked with the same rigour as GDP growth and formal employment figures.

Act Within This FYDP IV Cycle

  • Treat 2026–2030 as the window that determines whether Tanzania is on the USD 2.6–2.9 billion policy-action path or the USD 3.3–3.6 billion no-action path by 2030/31 — not a future planning cycle's problem.
  • Commission an official costed roadmap (ideally led by NBS/Ministry of Finance with TICGL/TERI technical input) to replace TICGL's illustrative 20% policy-action assumption with a government-owned target and financing plan.

04 — ConclusionWhy Unpaid Time Matters for Tanzania's Economy

Unpaid care work is not merely a social or cultural issue — it is a binding economic constraint measured in hours, and Tanzania's 3.2–3.4-hour daily gender gap, confirmed by 2025/26 data, sits well within the range documented across dozens of countries at every income level. What varies internationally is not whether the burden exists, but how deliberately governments have chosen to recognise, reduce, and redistribute it — and the evidence is consistent that deliberate action moves the needle: 22% lower absenteeism in Rwanda's tea sector, 31% higher female employment in Kenyan and Ethiopian childcare pilots, and near gender-parity employment sustained for decades in the Nordic countries through public investment.

Tanzania's high female labour force participation — at 80–82%, well above the Sub-Saharan Africa average of 63% — gives it a stronger starting position than most of the comparator countries in this report. The task ahead is not to create female economic participation from nothing, but to stop 4.4–4.6 hours a day of unmeasured, uncompensated labour from capping the productivity of participation that already exists — and, on TICGL's projection, to do so before that daily cost compounds from USD 2.1 billion today toward USD 3.3–3.6 billion a year by 2030/31.

"Tanzania's task ahead is not to create female economic participation from nothing, but to stop 4.4 to 4.6 hours a day of unmeasured, uncompensated labour from capping the productivity of participation that already exists. On TICGL's projection, the cost of waiting is not flat — it compounds with the economy itself, from an estimated USD 2.1 billion today toward USD 3.3 to 3.6 billion a year by 2030/31 if nothing changes. Closing this gap within the current FYDP IV cycle, rather than the next one, is one of the higher-return and most immediately actionable investments available to Tanzania's policymakers."

— TICGL / Tanzania Economic Research Institute (TERI)

05 — Sources & Data NotesPrimary Sources and References

Primary sources

TICGL. (2025/2026). Womenomics Tanzania: A Comprehensive Data-Driven Research Report — 2025 Edition. Tanzania Investment and Consultant Group Ltd. National Bureau of Statistics (NBS) Tanzania, Integrated Labour Force Survey (ILFS) 2020/21.

  • International bodies: International Labour Organization (ILO), Care Work and Care Jobs for the Future of Decent Work (2018); ILOSTAT, Measuring Unpaid Domestic and Care Work. OECD, Social Institutions and Gender Index (SIGI) 2023, Tanzania Country Profile; OECD Family Database; OECD Economic Surveys.
  • UN Women: Gender and Unpaid Care Work: The Case of Rwanda (2020); Transformative Approaches to Recognise, Reduce and Redistribute Unpaid Care Work — Rwanda, Senegal, South Africa (2024). UNDP, The Missing Piece: Valuing Women's Unrecognized Contribution to the Economy.
  • Regional/country studies: APEC, Unpaid Care and Domestic Work: Counting the Costs (2022); Equal Measures 2030; Oxfam India (2020) and Oxfam Care Policy Scorecard (2021); IDRC, Testing Innovations to Shift and Reduce Unpaid Care Work in East Africa; CIEP Mexico and INEGI national time-use accounts; AARP, Valuing and Supporting the Invisible Workforce of Family Caregivers (2023); IZA Institute of Labor Economics, Child Care and Parental Leave in the Nordic Countries.
  • Also cited: World Economic Forum, Global Gender Gap Report 2025; Laterite/IDRC Care Innovations baseline studies; ESRF and REPOA policy briefs on unpaid care work in Tanzania; McKinsey Global Institute, The Power of Parity: Advancing Women's Equality in Africa.
  • 2025/26 update sources: UNFPA Tanzania (2026), Qualitative Assessment: Exploring the Nexus Between Unpaid Care Work and Gender-Based Violence, citing NBS 2025 data; NBS, The Labour Market: Key Findings from the ILFS 2024 (released December 2025); IMF, World Economic Outlook database (April 2026 edition) for Tanzania GDP figures and forecasts, 2025–2031.
  • 2030/31 outlook: the no-action and policy-action cost paths on this page (see "Projecting the Cost" section) are built by holding the Womenomics Tanzania 2025 baseline (USD 2.1bn ≈ 2.40% of 2025 GDP) as a share of IMF-projected nominal GDP, with a 20% burden reduction phased in under the policy-action scenario, informed by documented results in Rwanda, Kenya and Ethiopia.
  • Known limitation: Tanzania's USD 2.1 billion figure captures the care-time gap specifically, not a full satellite-account valuation of all unpaid domestic and care work — the report's own recommendation is a dedicated national time-use survey to close this measurement gap. The 2030/31 figures compound this same limitation forward and should be revised once fresher time-use data (e.g., a full ILFS 2024 time-use module, if published) becomes available.

06 — Quick AnswersFrequently Asked Questions

How much time do Tanzanian women spend on unpaid care work?

Tanzanian women spend an average of 4.4 to 4.6 hours a day on unpaid care and domestic work, compared with 1.2 to 1.5 hours for men — a gap of roughly 3.4 hours a day. In dual-adult rural households the gap widens further, to 5.5 hours for women against 1.6 hours for men.

How much does unpaid care work cost Tanzania's economy?

TICGL's Womenomics Tanzania research estimates the unpaid care time burden costs approximately USD 2.1 billion a year in foregone female labour output, part of a wider 2.5 to 4.5 percentage-point potential GDP growth dividend if all structural gender gaps are closed.

What fills Tanzanian women's unpaid care hours?

The main components are water collection, fuel and firewood gathering, meal preparation and cooking, cleaning and laundry, and childcare or care of the elderly, sick, or disabled. In some rural districts, water and fuel collection alone consume 3 to 4 hours of the daily unpaid total.

How does Tanzania's unpaid care burden compare internationally?

Tanzania's 3.4-hour daily gender gap is close to the global pattern, where women perform about 76% of unpaid care work worldwide, averaging 4 hours 25 minutes a day against men's 1 hour 23 minutes. Globally, unpaid care work is valued at roughly 9 to 11% of GDP, with wide variation — from about 6.6% of GDP in Mexico to over 20% by some broader estimates in India.

What policies have reduced unpaid care burdens elsewhere?

Nordic countries invest 1.5–2% of GDP in public childcare and family services; Rwanda's tea-sector on-site childcare cut female absenteeism by 22%; Kenya and Ethiopia's community childcare pilots raised female employment by 31% and business ownership by 138%; and Mexico legislated a formal "right to care" in 2024.

Is the 4.6-hour unpaid care figure still current for Tanzania?

Yes. A 2026 UNFPA Tanzania study citing NBS 2025 data confirms women spend approximately 4 to 4.6 hours a day on unpaid care and domestic work versus 1.2 to 1.4 hours for men, consistent with the Womenomics Tanzania 2025 baseline. Tanzania's 2024 Integrated Labour Force Survey, released in December 2025, independently confirms the wider gender gap picture: women's unemployment (7.5%) remains above men's (4.9%) and gender wage gaps persist despite rising female labour force participation.

How much could Tanzania's unpaid care burden cost by 2030/31?

TICGL projects that if the unpaid care burden remains a constant 2.4% share of GDP, its annual cost would rise from USD 2.1 billion today to approximately USD 3.3 billion by 2030 and USD 3.65 billion by 2031, tracking Tanzania's IMF-projected nominal GDP growth. If Tanzania achieves a conservative 20% reduction in the burden through policy — in line with the lower end of results documented in Rwanda, Kenya and Ethiopia — the cost could instead be held to about USD 2.6 billion by 2030 and USD 2.9 billion by 2031, saving an estimated USD 2.5 billion cumulatively over 2026–2031 compared to business as usual.

Muhtasari

Muhtasari kwa Kiswahili

Gharama Inayoongezeka ya Saa Zisizoonekana — Mzigo wa Kazi Isiyolipwa ya Wanawake Tanzania Unaweza Kufikia Dola Bilioni 3.3–3.6 Ifikapo 2030/31. — Ripoti hii ya TICGL/TERI, iliyosasishwa kwa takwimu za sasa (2025/26), ni nyongeza ya kina kwa ripoti ya Womenomics Tanzania, ikichambua mzigo wa kazi za malezi na nyumbani zisizolipwa kwa wanawake Tanzania, gharama yake ya sasa na ya baadaye, na ulinganisho wa kimataifa.

Takwimu za sasa zimethibitishwa: Utafiti wa UNFPA Tanzania (2026), ukitumia takwimu za NBS 2025, unathibitisha wanawake bado hutumia wastani wa saa 4–4.6 kwa siku kwenye kazi za malezi na nyumbani zisizolipwa, ikilinganishwa na saa 1.2–1.4 tu kwa wanaume — pengo la takriban saa 3.2–3.4 kwa siku. Utafiti Jumuishi wa Nguvukazi (ILFS) 2024 wa NBS (uliotolewa Desemba 2025) unathibitisha pia kuwa ukosefu wa ajira kwa wanawake (asilimia 7.5) bado ni juu kuliko wanaume (asilimia 4.9), na pengo la mishahara ya kijinsia bado lipo.

Makadirio ya TICGL hadi 2030/31: TICGL inakadiria kuwa mzigo huu unagharimu uchumi wa Tanzania takriban dola bilioni 2.1 kwa sasa (sawa na asilimia 2.4 ya Pato la Taifa). Ikiwa hakuna hatua za ziada za sera, na kwa kuzingatia ukuaji wa uchumi uliotabiriwa na IMF, gharama hii inaweza kufikia dola bilioni 3.3–3.6 kwa mwaka ifikapo 2030/31. Lakini ikiwa Tanzania itachukua hatua za sera zinazofanana na zilizofanikiwa Rwanda, Kenya na Ethiopia (kupunguza mzigo kwa asilimia 20 tu — kiwango cha chini cha matokeo yaliyothibitishwa), gharama inaweza kubaki karibu dola bilioni 2.6–2.9 — akiba ya jumla ya takriban dola bilioni 2.5 kati ya 2026 na 2031.

Kimataifa, wanawake hufanya takriban asilimia 76 ya kazi zote za malezi zisizolipwa duniani, zenye thamani ya asilimia 9–11 ya Pato la Taifa la dunia. Nchi kama Rwanda, Kenya, Ethiopia na Mexico zimeonesha kuwa hatua za makusudi — kama malezi ya watoto mahali pa kazi, sera za kitaifa za malezi, na hata sheria ya "haki ya malezi" — huleta matokeo halisi: kupungua kwa utoro wa wafanyakazi wanawake kwa asilimia 22 nchini Rwanda, na ongezeko la ajira za wanawake kwa asilimia 31 nchini Kenya na Ethiopia.

  • Pengo la Muda kwa Siku (2025/26): saa 3.2–3.4 — wanawake dhidi ya wanaume
  • Gharama ya Kiuchumi Sasa: dola bilioni 2.1 kwa mwaka (≈asilimia 2.4 ya GDP)
  • Gharama Ifikapo 2030/31 (bila hatua): dola bilioni 3.3–3.6 kwa mwaka
  • Gharama Ifikapo 2030/31 (na hatua za sera): dola bilioni 2.6–2.9 kwa mwaka
  • Akiba Inayowezekana (2026–2031): takriban dola bilioni 2.5

Chanzo: TICGL Womenomics Tanzania 2025; NBS ILFS 2020/21 na 2024 (Des 2025); UNFPA Tanzania 2026; IMF World Economic Outlook, Aprili 2026; ILO; OECD; UN Women; uchambuzi na makadirio ya TICGL/TERI, Septemba 2026.

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