Decentralisation of the Economy in Tanzania: A Comprehensive 2026 Analysis | TICGL
Research Report — Updated Edition
Decentralisation of the Economy in Tanzania
A comprehensive, data-driven analysis of Tanzania's fiscal architecture — incorporating the January 2026 TICGL/REPOA corrections and the latest macroeconomic data covering 2004/05 to 2025/26.
📅 Coverage: 2004/05 – 2025/26🗓 Updated: February 2026🏢 TICGL | NBS | MoF | World Bank | AfDB | IMF📍 Tanzania Mainland — 185 LGAs
70%of national taxes from DSM
15.3%DSM share of national GDP
4.6×DSM tax efficiency ratio
45%of GDP informal
TZS 14.1Tannual tax shortfall
6.0%GDP growth projected 2025
01
Introduction & Policy Background
Decentralisation of the economy in Tanzania refers to the systematic devolution of fiscal, administrative, and political powers from the central government to Local Government Authorities (LGAs). Formally known as Decentralisation by Devolution (D-by-D), this policy framework is designed to bring government services closer to citizens, foster regional economic development, and reduce the structural dominance of Dar es Salaam as Tanzania's singular economic hub.
Tanzania mainland has 185 LGAs supervised by the President's Office — Regional Administration and Local Government (PO-RALG/TAMISEMI). A landmark January 2026 study by the Tanzania Investment and Consultant Group Ltd. (TICGL), jointly disseminated with researchers at REPOA (Research on Poverty Alleviation), provides the most up-to-date and precise quantification of the geographic concentration of Tanzania's tax economy — and reveals a structural paradox that defines the decentralisation debate.
Core Policy Question
If 84.7% of Tanzania's GDP is produced outside Dar es Salaam, why does Dar es Salaam account for approximately 70% of all national tax revenue? The answer — and its implications for genuine economic decentralisation — is the central focus of this report.
Table 1: Key Macroeconomic Indicators — Tanzania (2020–2025/26)
Indicator
2020
2021
2022
2023
2024/25
2025/26 (Proj.)
Real GDP Growth
4.5%
4.8%
4.7%
5.1%
5.5%
6.0%
National GDP (TZS Trillion)
~200
~212
~221
~235
~247
~261
Tax Revenue (TZS Trillion)
~17.5
~19.0
~22.4
~25.0
~29.2
~32.3
Tax-to-GDP Ratio
~11.5%
~12.1%
~12.8%
~13.0%
~14.9%
~13.3% (target)
Budget Deficit (% of GDP)
-3.6%
-3.5%
-3.5%
-3.4%
-3.4%
-3.0%
Total National Budget (TZS Tn)
~34
~36.6
~38.5
~44.4
~49.35
~56.49
Source: NBS Tanzania; Bank of Tanzania; Ministry of Finance (2025/26 Budget); TICGL (2026); World Bank
📈 Tanzania Real GDP Growth Trend (2020–2026 Projected)
💰 National Budget vs Tax Revenue (TZS Trillion)
02
Critical Data Correction: Dar es Salaam Tax Revenue Share
The TICGL study published in January 2026 — assessed by The Citizen (February 13, 2026) and co-disseminated with REPOA — provides updated and more precise figures for Dar es Salaam's contribution to national tax revenue. This corrects an older figure that had been widely circulated in policy discussions.
✅ TICGL/REPOA Verified Figure — January 2026
The TICGL/REPOA study, confirmed by researcher Amran Bhuzohera at the February 2026 forum on contemporary tax research, establishes that Dar es Salaam accounts for approximately 70% of Tanzania's national tax revenue — a precise, data-verified figure based on TRA revenue statistics and NBS regional GDP data.
Why This Still Matters
Even at the corrected 70% figure, the geographic mismatch between where taxes are collected and where economic activity actually occurs is a defining structural problem of Tanzania's economy. Dar es Salaam produces just 15.3% of national GDP but accounts for 70% of tax revenue — a 4.6x over-contribution ratio explained by headquarters-based taxation.
Table 2: Corrected Regional GDP and Tax Revenue Distribution (2023–2025 Data)
Region / Zone
GDP (TZS Trillion)
GDP Share
Tax Revenue Share
Tax Efficiency Ratio
Status
Dar es Salaam
36.0 (2023 est.)
15.3%
~70%
4.6× (over-contributes)
Highly Centralised
All Other Regions (29+)
~199 (84.7%)
84.7%
~30%
0.35× (under-contributes)
Structurally Marginalised
Lake Zone (Mwanza, Shinyanga, etc.)
~48.0 est.
~20.4%
Low (taxed via DSM HQs)
Very Low
Mining, HQ-taxed
Northern Zone (Arusha, Kilimanjaro)
~38.0 est.
~16.2%
Low-Moderate
Low
Tourism & Agriculture
Southern Highlands (Mbeya, Iringa)
~35.0 est.
~14.9%
Low
Very Low
Agriculture, under-taxed
Central Zone (Dodoma, Singida)
~28.0 est.
~11.9%
Very Low
Very Low
Low Formalisation
Coastal/Southern Zone (Mtwara, Lindi)
~20.0 est.
~8.5%
Low
Very Low
Gas sector, HQ-taxed
Source: TICGL/REPOA Study (January 2026); NBS Regional GDP Data (2023); TRA Revenue Statistics; The Citizen (February 13, 2026)
🗺 GDP Share by Region: DSM vs Rest of Tanzania
🏦 Tax Revenue Collection: DSM vs Rest of Tanzania
Tax Efficiency Ratio by Zone (Tax Revenue Share ÷ GDP Share)
Dar es Salaam
4.6× — Extreme Over-Contribution
Lake Zone
~0.15×
Northern Zone
~0.22×
Southern Highlands
~0.14×
Central Zone
~0.09×
Coastal/Southern
~0.10×
A ratio above 1.0 means the region contributes more taxes than its GDP share warrants. Below 1.0 means the region's actual economic output is effectively being taxed via Dar es Salaam headquarters.
2.1
Why This Happens: Headquarters-Based Taxation
The TICGL study, presented by researcher Amran Bhuzohera at a February 2026 forum on contemporary tax research, explains the mechanism clearly: Tanzania's tax system requires companies to file and remit taxes through their registered head offices. Since the overwhelming majority of large corporations — including mining companies operating in Mwanza and Geita, tourism operators based in Arusha, and agricultural exporters from Mbeya — register their headquarters in Dar es Salaam, all their national revenue flows through the city's tax registration.
The Statistical Illusion
This creates a statistical illusion: Dar es Salaam appears to be the engine of the economy from a revenue perspective, when in reality it is primarily a tax registration hub. The actual economic production — the mines, farms, lodges, and factories — occurs hundreds or thousands of kilometres away, in regions that receive little of the fiscal dividend from that production.
TZS 36TnDSM actual GDP (2023 est.)
TZS ~183TnGDP registered to DSM via HQ taxation
3.7×GDP per capita: DSM vs Simiyu
185LGAs structurally disadvantaged
03
Fiscal Transfers from Central Government to LGAs
Central government transfers remain the primary funding mechanism for LGAs, covering 85–90% of their total budgets. The 2025/26 national budget — at TZS 56.49 trillion, an 11.6% increase from the prior year — continues the trend of growth in nominal transfer volumes. However, high conditionality and earmarking of these transfers severely limit LGA fiscal autonomy, undermining the spirit of decentralisation.
Structural Paradox
TRA has exceeded its revenue collection targets for two consecutive years (achieving 103% of targets), yet Tanzania maintains a persistent budget deficit of 3.0–3.6% of GDP. The answer lies not in collection efficiency but in the structural narrowness of the tax base and high recurrent expenditure growth.
Table 3: Central Government Fiscal Transfers to LGAs (2020/21 – 2024/25)
📊 Central Transfers vs LGA Own-Source Revenue (TZS Billion)
📈 National Domestic Revenue Growth Trend
04
LGA Revenues and Expenditures
LGA own-source revenues remain critically underdeveloped, averaging just TZS 1,100–1,356 billion annually — less than 6% of national tax receipts. Meanwhile, LGA total expenditures have grown from TZS 26.6 trillion in 2020/21 to an estimated TZS 42.75 trillion in 2024/25, funded almost entirely by central transfers. The result is near-total fiscal dependency and a rising share of recurrent spending that crowds out development investment.
Table 4: LGA Revenues and Expenditures (2020/21 – 2024/25)
📉 LGA Expenditure Mix: Recurrent vs Development (%)
📊 LGA Own-Source Revenue vs Total Expenditure (TZS Bn)
05
The Informal Economy: Tanzania's Hidden Fiscal Challenge
One of the most significant findings of the TICGL 2026 study is the sheer scale of Tanzania's informal economy and its direct impact on both the tax base and the effectiveness of economic decentralisation. Informality is the root cause of the narrow tax base — not inefficient TRA collection. The informal sector represents a massive missed fiscal opportunity, particularly in non-DSM regions where formality rates are lowest.
Source: TICGL 'Will Informality Remain Tanzania's Economic Shock Absorber?' & 'Why Tanzania Must Expand Its Tax Base' (2026); REPOA; World Bank
The Mobile Money Paradox
Tanzania processed TZS 223.4 trillion in mobile money transactions in 2025 — nearly 95% of annual GDP — yet only 5–7% of informal sector transactions are captured in the tax system. This represents the single largest untapped fiscal opportunity for genuine decentralisation: if even 20% of mobile money transactions could be brought into the tax net, it would add approximately TZS 4.5 trillion annually to government revenues.
💸 Tax Shortfall Decomposition — Where Is the Missing Revenue? (TZS Trillion)
06
Sectoral Contributions to National GDP
Tanzania's GDP is diversified across multiple sectors, but a critical structural issue emerges when examining where economic activity occurs versus where taxes are registered. Agriculture remains the largest sector at 28.7% of GDP (2023) but is largely informal and under-taxed. Mining produced a significant peak in 2022 (9.8% of GDP), yet the sector's taxes flow entirely through Dar es Salaam headquarters.
Table 7: Sectoral GDP Contributions — Tanzania (2021–2023) with Tax Registration Status
Sector
2021 (%)
2022 (%)
2023 (%)
Where Activity Occurs
Tax Registered Where?
Agriculture (incl. Livestock & Fisheries)
27.0%
26.0%
28.7%
All regions (esp. Southern Highlands)
Local / Largely Informal
Construction & Infrastructure
16.0%
15.0%
14.5%
Nationwide + DSM
DSM (Central Govt)
Wholesale & Retail Trade
9.0%
9.0%
9.0%
All regions
Mostly DSM HQs
Transport & Communications
8.0%
8.0%
8.0%
Nationwide
DSM HQs
Manufacturing & Industry
9.0%
8.4%
9.0%
DSM, Mwanza, Arusha
DSM HQs
Mining & Quarrying
5.0%
9.8% ⚡
5.0%
Lake Zone, Lindi, Mtwara
DSM HQs (key issue)
Tourism & Hospitality
5.7%
6.0%
7.0%
Northern & Lake Zones
DSM HQs (partly)
Financial Services
~7.0%
~7.0%
15.4% 🚀
DSM dominant
DSM
Source: Bank of Tanzania; NBS. ⚡ Mining peak Q3 2022. 🚀 Financial services Q1 2025 growth rate.
🏭 Sectoral GDP Share (2023)
📈 Sectoral GDP Trends 2021–2023 (Selected Sectors)
07
SME Tax Burden and Its Impact on Decentralisation
SMEs are Tanzania's economic backbone — contributing approximately 35% of national GDP and employing over 6 million people across all regions. Yet the TICGL 2026 analysis reveals that the tax architecture is systematically undermining SME growth, with cascading negative effects on regional economic development and LGA own-source revenue generation.
Key Finding: Corporate Tax vs. Rwanda Model
Tanzania's corporate tax rate for SMEs is 30% — among the highest in East Africa. Rwanda, by contrast, has adopted a 3% turnover tax for SMEs, which generated over 60% compliance growth. This single policy difference helps explain why Rwanda's tax-to-GDP ratio significantly exceeds Tanzania's.
Table 8: SME Tax Burden — Key Findings from TICGL Survey of 250 SMEs (2025/26)
Finding
Data Point
Implication for Decentralisation
High tax rates as primary growth obstacle
78% of SMEs
Discourages formalization across all regions
Tax filing procedures rated excessively complex
76% of SMEs
Rural LGAs lack support infrastructure
SMEs operating informally to avoid compliance
72% of SMEs
Directly shrinks regional tax bases
Annual hours spent on tax compliance
248 hours/year avg.
SMEs need external consultants; rural areas lack access
Combined tax burden (typical DSM SME)
>18% of annual revenue
Corp. tax + VAT + municipal levies
SMEs reducing staff due to tax strain
56% of SMEs
Unemployment concentrated in regional towns
SME contribution to national GDP
~35%
Backbone of regional economies, yet under-supported
Corporate tax rate (Tanzania)
30%
Among highest in EAC; Rwanda SMEs pay 3% turnover tax
VAT pending refunds (2025)
TZS 1.4–1.5 trillion (~$650M)
Cash flow crisis for exporters and capital-intensive businesses
Source: TICGL 'How Tax Law Burden Affects SME Growth' (February 2026); TICGL 'Heavy Tax Burden on Tanzanian SMEs' (2025)
📊 SME Pain Points — % of Surveyed SMEs Reporting Each Issue
⚖ Corporate Tax Rate Comparison: EAC Countries
08
Impact on Service Delivery
Despite the structural fiscal challenges, Tanzania's decentralisation framework has delivered some meaningful improvements in service delivery metrics — particularly in education enrolment and health coverage. However, quality indicators lag significantly, and the declining share of LGA development expenditure threatens to reverse hard-won gains.
Table 9: Key Service Delivery Outcomes — Decentralisation Record
Indicator
Baseline
Latest (2024/25)
Change
Primary school enrolment
4.8M (2001)
10.6M (2019)
+121%
Community Health Fund households
543,328 (2012/13)
2,251,055 (2017/18)
+315%
LGA revenue collection efficiency
47–53% of targets
~72% of target (Mar. 2025)
Improving
Teacher quality / infrastructure
Low / Inadequate
Remains low / inadequate
Stagnant
PPP / development project disbursement
~60% historical
47.4% hit rate (2023/24)
Deteriorated
2025/26 education allocation
—
TZS 444.7 billion (fee-free)
Sustained
2025/26 healthcare allocation
—
TZS 414.7 billion
Sustained
Source: NBS; UNICEF/PO-RALG; TICGL; Ministry of Education; Ministry of Finance Budget 2025/26
Notable Progress
Primary school enrolment has more than doubled since 2001 (+121%), and the Community Health Fund has expanded nearly 5-fold since 2012/13. The 2025/26 budget sustains TZS 444.7 billion for fee-free education and TZS 414.7 billion for healthcare — demonstrating the central government's continued commitment to social service delivery even amid fiscal pressures.
09
Digital Tax Reform: IDRAS — A New Opportunity for Decentralisation
A significant development announced in January 2026 is the Integrated Digital Revenue Administration System (IDRAS) by TRA. This system represents the most concrete technology-based opportunity to reform the geographic concentration of tax collection and dramatically expand Tanzania's tax base — particularly in rural and regional LGAs where informal sector activity is highest.
Table 10: IDRAS Digital Tax System — Features and Projected Impact
IDRAS Feature
Details & Projected Impact
Real-time integration
Links TRA, banks, BRELA, and mobile money platforms to track economic activity across all regions in real time.
Mobile-first filing (USSD + apps)
SMEs can file in under 10 minutes without external consultants. Critical for rural LGAs with low ICT infrastructure.
AI-powered risk analytics
Identifies high-risk non-compliance while reducing harassment of compliant businesses — addressing a key SME grievance.
M-Pesa / Tigo Pesa / Airtel Money integration
Instant tax payments remove barriers for informal sector operators. Key to capturing part of the TZS 223.4 trillion mobile money economy.
Countries with similar systems saw 20–35% increase in registered taxpayers within 3 years of implementation.
Potential if Tanzania reaches Rwanda tax-to-GDP parity
+2.1–3.4 percentage points improvement — equivalent to TZS 4.5–7.3 trillion in additional annual revenue.
Source: TICGL 'Why Tanzania Must Expand Its Tax Base' (February 2026); TRA IDRAS Announcement (January 2026)
📱 Tax-to-GDP Ratio Comparison: Tanzania vs EAC/Africa Peers & IDRAS Potential
IDRAS: The Reform Multiplier
If IDRAS implementation reaches rural LGAs by 2027 as projected, and Tanzania closes even half the gap to Rwanda's e-filing compliance rates, the system could generate an estimated TZS 4.5–7.3 trillion in additional annual tax revenue — equivalent to 30–50% of current LGA total own-source revenue. This alone would represent a transformational shift in LGA fiscal capacity.
10
Key Challenges in Tanzania's Economic Decentralisation
Despite positive macroeconomic momentum, Tanzania's decentralisation framework faces ten interconnected structural challenges. These challenges are deeply rooted in the architecture of the tax system, the scale of informality, and the governance constraints on LGA fiscal autonomy. The TICGL 2026 research identifies and quantifies each challenge with current data.
🕸 Structural Challenge Severity Map (Score 1–10)
📊 Regional GDP per Capita Disparity (TZS Million, est.)
Table 11: Summary of Structural Challenges with Updated Data
Challenge
Data Evidence
Source
HQ-based taxation (geographic mismatch)
70% of taxes from DSM (15.3% of GDP); 70% of GDP produced elsewhere
TICGL/REPOA 2026
Narrow tax base
Tax-to-GDP: 14.9% vs SSA avg 18.6%; deficit persists despite 103% TRA target achievement
TICGL / MoF 2025
Massive informal sector
45% of GDP (TZS 105.7Tn) outside formal structures; TZS 14.1Tn annual tax shortfall
TICGL/REPOA 2026
High LGA fiscal dependency
85–90% of LGA budgets from central transfers; own-source = <6% of national taxes
PO-RALG / MoF 2025
Recurrent vs. development squeeze
Recurrent spending: 55% (2020) → 64% (2025) of LGA total; development declining
Budget Exec. Reports
SME over-taxation
Combined burden >18% of revenue; 78% cite taxes as top obstacle; 72% operate informally
TICGL 250-SME Survey 2026
VAT refund crisis
TZS 1.4–1.5 trillion in pending refunds; avg wait 12–24 months vs. statutory 30 days
TICGL / EY 2025
Conditional grant restrictions
Most transfers earmarked; LGAs cannot reallocate to local priorities
PO-RALG 2024
Uncollected regional taxes
TZS 20+ trillion in potential taxes uncollected in non-DSM regions
TICGL/REPOA 2026
Regional per capita disparity
DSM: TZS 5.7M vs Simiyu: TZS 1.5M — a 3.7× gap
NBS / World Bank 2023
Source: TICGL (2026); REPOA; PO-RALG; Ministry of Finance; NBS Tanzania; EY Tanzania Tax Survey 2025
The Core Paradox
TRA consistently exceeds its revenue collection targets — achieving 103% of targets for two consecutive years — yet Tanzania maintains a persistent budget deficit. The problem is not TRA's collection capacity. It is the structural narrowness of the tax base: the majority of economic activity remains outside the formal tax net, concentrated in regions that lack the administrative infrastructure to bring it in.
11
Opportunities for Strengthening Decentralisation
Against the backdrop of structural challenges, the TICGL 2026 research identifies nine high-impact opportunities that could fundamentally transform Tanzania's fiscal decentralisation landscape. These range from digital technology (IDRAS) and natural resource revenue devolution to infrastructure-driven regional integration via the SGR and JNHPP.
LGA-level tourism levies and dedicated development funds
Nyerere Hydropower (JNHPP)
Power sector grew 19% in Q1 2025
Enables industry outside DSM; reduces urban concentration
SGR Rail + DSM Port Expansion
Port to double cargo capacity by 2032; SGR links inland regions
Peripheral LGAs gain market access; reduces DSM-dependency
Natural Gas (Ntorya / Lindi-Mtwara)
25-year licence; 40 mmcfd projected output
Mtwara, Lindi LGAs: direct revenue uplift from gas royalties
Source: TICGL (2026); Bank of Tanzania; TIC; AfDB; TanzaniaInvest (2025)
+42.1%Gold export growth (2025)
2.3MTourist arrivals (2025)
+37%Tourism revenue growth (2025)
+19%Power sector growth Q1 2025
40 mmcfdNtorya gas projected output
2032DSM Port capacity doubling target
12
GDP Growth Projections (2025–2027)
All major international institutions project accelerating GDP growth for Tanzania through 2026, underpinned by infrastructure investment, agricultural resilience, tourism recovery, and prudent fiscal management. The TICGL estimate adds an additional reform premium: if the fiscal decentralisation reforms recommended in this report are implemented, Tanzania could add 0.5–1.0 percentage points above the baseline consensus forecast.
📈 Tanzania GDP Growth Forecasts by Institution (2024–2026) — TICGL Reform Scenario Highlighted
Table 13: Tanzania GDP Growth Forecasts — Major Institutions
Institution
2024 (Actual)
2025 (Forecast)
2026 (Forecast)
Key Drivers
World Bank
5.5%
6.0%
6.4%
Infrastructure, Agriculture
IMF
5.5%
6.1%
7.0%
Structural Reforms
African Development Bank
5.7%
6.0%
6.5%
Agriculture, Tourism, Industry
Bank of Tanzania
5.5%
6.0%+
6.0%+
Domestic demand, FDI
Ministry of Finance (Budget Target)
5.5%
6.0%
6.0%+
Budget 2025/26 projection
🏆 TICGL Estimate (with decentralisation reforms)
5.5%
6.0–6.5%
6.5–7.5%
+0.5–1.0pp from LGA fiscal reform
Source: IMF WEO; World Bank Tanzania Overview; AfDB African Economic Outlook; MoF Tanzania Budget Speech 2025/26; TICGL (2026)
Vision 2050 Context
Tanzania's government has articulated a Vision 2050 target of a USD 1 trillion economy. At the current 5.5–6.0% growth rate, achieving this target remains a multi-decade challenge. With genuine fiscal decentralisation reforms unlocking the potential of all 185 LGAs, TICGL estimates an additional 0.5–1.0 percentage points of annual GDP growth — compounding significantly over 25 years and materially accelerating the Vision 2050 timeline.
13
Policy Recommendations
Drawing on the TICGL 2026 research findings and the broader data presented in this report, the following eight evidence-based reforms are recommended to achieve genuine economic decentralisation in Tanzania. Each recommendation is directly tied to a quantified data finding.
📊 Projected GDP Growth Contributions from Each Reform Pillar
Rec. 1 — Reform Headquarters-Based Taxation
Require companies to register and file taxes in the regions where their primary economic activity occurs. This single reform could begin to address the 70%/15.3% mismatch between DSM's tax contribution and GDP share, redirecting revenue to producing regions.
High ImpactMedium Complexity
Rec. 2 — Accelerate IDRAS Implementation
Prioritise rural and regional LGA rollout of IDRAS (announced January 2026), with particular focus on mobile-first USSD filing for SMEs and informal traders. Target: 50% of non-DSM LGAs integrated by end of 2027.
High ImpactLow Complexity
Rec. 3 — Tax the Mobile Money Economy
Develop a simple, low-rate levy for the TZS 223.4 trillion mobile money ecosystem, capturing at least 15–20% of transactions in the tax net (vs. the current 5–7%). Estimated revenue uplift: TZS 4.5 trillion annually.
High RevenueRequires Design
Rec. 4 — Reduce the SME Tax Burden
Lower corporate tax for SMEs from 30% to 15–20% and simplify compliance — following Rwanda's model (3% turnover tax) which generated 60%+ compliance growth. Target: reduce informal SMEs from 72% to below 40% by 2028.
High ImpactRevenue Neutral Long-term
Rec. 5 — Increase Intergovernmental Transfers
Increase fiscal transfers to LGAs to at least 30–35% of national revenue (from ~20%), and reduce the proportion of conditional grants to give LGAs genuine fiscal autonomy to respond to local priorities.
Medium ImpactBudget Pressure
Rec. 6 — Regional Equalisation Fund
Introduce a dedicated Regional Equalisation Fund targeting Simiyu, Kagera, Singida, and Dodoma — the regions most deprived relative to the national average — to begin closing the 3.7× GDP per capita gap between DSM and the poorest regions.
Equity ImpactMedium Complexity
Rec. 7 — Resolve the VAT Refund Crisis
Implement TRA's proposed 30-day processing target by 2026 and introduce real-time tracking — clearing TZS 1.4–1.5 trillion in pending refunds that are constraining export businesses and capital-intensive SMEs across all regions.
Quick WinLow Complexity
Rec. 8 — Expand the Tax Base to SSA Average
Raise the tax-to-GDP ratio from 14.9% to 18%+ through formalization incentives, digital enforcement, and sector-specific reforms — particularly in agriculture (28.7% of GDP but largely undertaxed) and the financial services sector.
High RevenueLong-term Programme
14
Conclusion
The January 2026 TICGL/REPOA study represents a significant advancement in our understanding of Tanzania's economic decentralisation challenge. Its most important contribution is the corrected and more nuanced reading of Dar es Salaam's role: the capital is not simply the dominant economic engine — it is primarily a tax registration hub, collecting taxes on behalf of economic activity that occurs across all 29+ regions of the country.
This is not primarily a story of Dar es Salaam's economic dominance — it is a story of headquarters-based taxation and a structurally narrow tax base. Mining revenues from Mwanza, agricultural exports from Mbeya, and tourism receipts from Arusha are all flowing through Dar es Salaam's tax registers rather than into the treasuries of the LGAs where the economic activity actually takes place. This single structural feature arguably does more to undermine genuine decentralisation than any other policy failure.
The Fiscal Paradox Summarised
TRA consistently exceeds its revenue collection targets (103% for two consecutive years), yet Tanzania maintains a persistent budget deficit. The answer lies not in collection inefficiency but in the structural narrowness of the tax base: TZS 105.7 trillion in informal economic activity, TZS 20+ trillion in uncollected regional taxes, and TZS 223.4 trillion in mobile money transactions — of which only 5–7% are captured in the tax system.
Implemented together, the reforms recommended in this report could lift Tanzania's GDP growth by an additional 0.5–1.0 percentage points annually, accelerate the journey toward the Vision 2050 USD 1 trillion economy target, and — most critically for decentralisation — begin to channel fiscal resources to the regions that generate the underlying wealth but currently receive little of the fiscal dividend.
+1.0 ppMax additional GDP growth from reforms
USD 1TnVision 2050 economy target
185LGAs that stand to benefit
TZS 7.3TnMax annual revenue uplift from IDRAS
Sources & Methodology
This report was prepared for research and educational purposes by the Tanzania Investment and Consultant Group Ltd. (TICGL). Key sources: TICGL/REPOA (January 2026); The Citizen (February 13, 2026); NBS Tanzania; Ministry of Finance; World Bank; African Development Bank; Bank of Tanzania; PO-RALG; IMF. Data covers fiscal years 2004/05 through 2025/26. Regional GDP estimates are TICGL calculations based on NBS methodology. Tax revenue data sourced from TRA Revenue Statistics and MoF Budget Execution Reports.
This report was researched and authored by TICGL's senior economics team. The findings have been peer-reviewed and presented at international research forums, including the February 2026 Contemporary Tax Research Forum.
BK
Dr. Bravious Felix Kahyoza
PhD | FMVA | CP3P
Chief Economist & Research Director
Dr. Kahyoza leads TICGL's macroeconomic research division, specialising in fiscal policy, public finance, and investment climate analysis for Sub-Saharan Africa. He holds a PhD in Economics and professional certifications in Financial Modelling & Valuation (FMVA) and Public-Private Partnerships (CP3P).
🎓 PhD Economics | FMVA | CP3P
🏢 Tanzania Investment & Consultant Group Ltd.
🔬 Specialisation: Fiscal Policy, Public Finance, FDI
AB
Amran Bhuzohera
Senior Economist & Research Lead
Senior Economist & Research Lead
Amran Bhuzohera leads TICGL's applied tax research programme, focusing on Tanzania's revenue architecture, SME formalisation, and economic decentralisation. He presented the TICGL/REPOA findings on headquarters-based taxation at the February 2026 Contemporary Tax Research Forum, drawing significant policy attention to the corrected Dar es Salaam tax revenue figures.
🎓 Economics & Tax Policy Research
🏢 Tanzania Investment & Consultant Group Ltd.
🔬 Specialisation: Tax Reform, SME Policy, Decentralisation
🏛
Tanzania Investment and Consultant Group Ltd. (TICGL)
Independent economic research, investment intelligence, and policy advisory services for Tanzania and the East African region. Jointly affiliated with REPOA for this study.
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"70% of Tanzania's tax revenue is collected in Dar es Salaam — yet the city produces just 15.3% of national GDP. TICGL's landmark 2026 decentralisation report reveals the structural paradox and charts a reform pathway. Read the full analysis: https://ticgl.com/"
📖 How to Cite This Report
Kahyoza, B.F. & Bhuzohera, A. (2026). Decentralisation of the Economy in Tanzania: A Comprehensive, Data-Driven Analysis. Tanzania Investment and Consultant Group Ltd. (TICGL) / REPOA. Dar es Salaam, February 2026. Available at: https://ticgl.com/
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How Inflation Hits Each Income Class Differently — A Data-Driven Analysis Across 5 Income Groups
Sources: NBS Tanzania · World Bank · TICGL · Rashid et al. (2024)5 Income Classes AnalysedData Period: January 2025 – January 2026Published: February 2026
Tanzania's headline inflation rate of 3.3% (January 2026) is a statistical average that masks a deeply unequal reality. Because poor households spend 75–85% of their income on food — while wealthy households spend only 25–35% — the same food price shock hits different income classes with very different force.
This report quantifies that the extreme poor experience an effective inflation rate of 6.0–7.5%, more than double the headline figure, while the elite experience inflation below the headline rate. Food inflation, which averaged 6.4% in 2025 and reached 7.7% in August 2025, is the primary engine of this inequality.
The official CPI basket assigns food a weight of only 28.2% — reflecting average household spending — which systematically understates the true inflation burden on 71% of Tanzania's population living below the $3.65/day poverty line.
Effective Inflation Rate vs. Official Headline CPI — By Income Class
Class 1: Extreme Poor
Official 3.3%
~6.5% effective inflation
Class 2: Poor / Vulnerable
~5.1% effective inflation
Class 3: Lower Middle
~4.5% effective inflation
Class 4: Middle Class
~3.85% effective inflation
Class 5: Upper / Elite
~3.1% effective inflation
▲ The vertical gold line marks the official CPI at 3.3% — below where 71% of Tanzanians actually live.
Section 1
Tanzania's Five Income Classes
Tanzania's population of approximately 68 million people is distributed across five distinct income groups, each with different economic characteristics, spending patterns, and vulnerability to inflation. Understanding these classes is the foundation of any analysis of inflation inequality.
🏚️
Class 1: Extreme Poor
~40%
≈ 27.2 million people
Income: < TZS 175K/mo < USD 65/mo
🏘️
Class 2: Poor / Vulnerable
~31%
≈ 21.1 million people
TZS 175K–315K/mo USD 65–115/mo
🏗️
Class 3: Lower Middle
~15%
≈ 10.2 million people
TZS 315K–800K/mo USD 115–295/mo
🏠
Class 4: Middle Class
~9%
≈ 6.1 million people
TZS 800K–2.5M/mo USD 295–930/mo
🏛️
Class 5: Upper / Elite
~5%
≈ 3.4 million people
TZS 2.5M+/mo > USD 930/mo
Tanzania Income Class Distribution — Full Breakdown
Income Class
% of Population
Approx. Population
Monthly Income (TZS)
Monthly Income (USD)
Class 1: Extreme Poor
~40%
~27.2 million
< 175,000
< $65
Class 2: Poor / Vulnerable
~31%
~21.1 million
175,000 – 315,000
$65 – $115
Class 3: Lower Middle Class
~15%
~10.2 million
315,000 – 800,000
$115 – $295
Class 4: Middle Class
~9%
~6.1 million
800,000 – 2,500,000
$295 – $930
Class 5: Upper / Elite
~5%
~3.4 million
2,500,000+
> $930
Source: World Bank Tanzania poverty data 2023; NBS salary surveys; WID.world income distribution data; World Bank $2.15/day and $3.65/day poverty lines applied to Tanzania 2023 population.
⚠ Key Inequality Context
A striking fact: 71% of Tanzanians — Classes 1 and 2 combined — live below the lower-middle-income poverty line of $3.65/day. Class 1 alone (40% of the population) lives in extreme poverty below $2.15/day. The top 1% of Tanzanians capture 17.9% of total national income, while the bottom 50% capture only 14.1% combined. Tanzania's Gini coefficient stands at 40.5.
Population Distribution by Income Class
Tanzania — ~68 million total population (2025 est.)
Income Share vs. Population Share
Gini: 40.5 — Top 1% captures 17.9% of national income
Section 2
Food Expenditure Share by Income Class
The single most important variable in determining how hard inflation hits any household is: what share of their income do they spend on food? This relationship — formalised as Engel's Law — shows an inverse relationship between income and food expenditure share. Tanzania's Household Budget Survey data confirms this precisely.
Food vs. Non-Food Expenditure by Income Class — Tanzania
Source: Rashid et al. (2024), Agriculture & Food Security — Tanzania HBS 2017/18 data: low-income households spend 69.6% on food, high-income spend 33.9%. NBS IHBS 2024–25 framework. Sub-Saharan Africa average food share: 65–70% of total expenditure.
Food Expenditure Share — Engel's Law in Action
Midpoint food weight per class vs. official 28.2% CPI weight
CPI Food Weight: Official vs. Real by Class
The measurement gap that drives inflation inequality
🔑 Critical Measurement Problem
The official NBS CPI basket assigns food a weight of only 28.2%. This reflects the spending pattern of an "average" Tanzanian household — but that average is heavily skewed by the spending of Classes 4 and 5. For the 71% of Tanzanians in Classes 1 and 2, the real food weight in their household budget is 65–85%, not 28%. This gap is the engine of inflation inequality.
Section 3
Tanzania's Inflation Data: Headline vs. Food (2025–2026)
To understand how inflation affects each income class, we must first establish the actual inflation rates for food and non-food categories. The divergence between these two figures is the key driver of differential inflation burdens.
Tanzania Monthly Inflation Data — January 2025 to January 2026
Month
Headline Inflation
Food Inflation
Core / Non-Food
Key Drivers
Jan 2025
3.1%
5.3%
2.4%
Finger millet +8.4%, lentils +5.5%
Feb 2025
3.2%
5.0%
2.4%
Millet grains +10.1%, groundnuts +4.9%
Mar 2025
3.3%
5.4%
2.3%
Dried peas +9.0%, diesel +7.4%
May 2025
3.2%
5.6%
2.1%
Finger millet +4.6%, bread +3.4%
Jul 2025
3.3%
7.6%
1.5%
Seasonal supply shocks — broad food basket
Aug 2025
3.4%
7.7%
1.6%
PEAK — broad food price surge
Sep 2025
3.4%
7.0%
1.6%
Cocoyams +8.9%, sweet potatoes +7.6%
Oct 2025
3.5%
7.4%
1.7%
Year high — food drives headline up
Nov 2025
3.4%
6.6%
2.1%
Poultry −2.7%, dried beans −3.1%
Dec 2025
3.6%
6.7%
~2.1%
Year-end food price pressure
Jan 2026
3.3%
5.7%
~2.0%
Easing from Nov–Dec highs
2025 Annual Avg.
3.3%
6.4%
2.0%
Food inflation = 3.2× core inflation
Source: Tanzania National Bureau of Statistics (NBS) Monthly CPI Releases 2025–2026; TanzaniaInvest.com; TICGL Inflation Analysis 2025.
Tanzania Inflation Trends: Headline vs. Food vs. Non-Food (Jan 2025 – Jan 2026)
Monthly data — NBS Tanzania CPI releases. Food inflation consistently outpaces headline, peaking at 7.7% in August 2025.
📌 Key Finding
In 2025, food inflation (6.4% annual average) ran at 3.2 times the rate of non-food inflation (2.0%). Since Classes 1 and 2 spend 65–85% of their budget on food, they are exposed to the high-rate basket. Classes 4 and 5 are primarily exposed to the low-rate (non-food) basket. This structural difference is the root cause of inflation inequality in Tanzania.
Section 4
Calculating the Effective Inflation Rate by Income Class
To estimate the effective (true) inflation rate experienced by each income class, we apply their actual food expenditure weight to Tanzania's 2025 food and non-food inflation rates.
Effective Inflation Calculation by Income Class — Tanzania 2025
Income Class
Food Weight
Non-Food Weight
Food Contribution (×6.4%)
Non-Food Contribution (×2.0%)
Effective Inflation Rate
Class 1: Extreme Poor
80%
20%
0.80 × 6.4% = 5.12%
0.20 × 2.0% = 0.40%
5.52% → ~5.5–7.5%*
Class 2: Poor / Vulnerable
70%
30%
0.70 × 6.4% = 4.48%
0.30 × 2.0% = 0.60%
5.08% → ~4.8–5.5%
Class 3: Lower Middle
57%
43%
0.57 × 6.4% = 3.65%
0.43 × 2.0% = 0.86%
4.51% → ~4.2–4.8%
Class 4: Middle Class
42%
58%
0.42 × 6.4% = 2.69%
0.58 × 2.0% = 1.16%
3.85% → ~3.5–4.2%
Class 5: Upper / Elite
27%
73%
0.27 × 6.4% = 1.73%
0.73 × 2.0% = 1.46%
3.19% → ~2.8–3.3%
Official NBS Headline CPI
28.2%
71.8%
Weighted average across all classes
3.3% (Jan 2026)
*Class 1 range is wider (5.5–7.5%) because the most extreme poor have food expenditure shares above 80% and face additional price premiums due to limited market access, inability to buy in bulk, and reliance on informal/local markets with higher prices. Source: Food weight midpoints derived from Rashid et al. (2024), Tanzania HBS 2017/18. Inflation rates: NBS Tanzania 2025 annual averages.
Effective Inflation Rate by Income Class vs. Official Headline CPI
The red dashed line shows official CPI 3.3%. All lower-income classes experience significantly higher real inflation.
Food Weight Used in Calculation
Actual food expenditure weight vs. official CPI food weight of 28.2%
Inflation Gap Above Official CPI
Percentage points by which each class exceeds (or is below) the 3.3% headline
Tanzania has witnessed remarkable growth in tax revenues from 1996/97 to 2023/24, with total revenue increasing significantly across all major tax categories. For instance, Pay As You Earn (P.A.Y.E.) surged from 38.4 billion TShs to 3.32 trillion TShs, marking an astounding 8,558% growth and a consistent 20% annual growth rate. Similarly, Domestic VAT revenue soared from 67.1 billion TShs to 3.85 trillion TShs, reflecting a 5,635% increase with a steady 20% annual growth rate. Looking ahead to 2030, projections indicate that P.A.Y.E. could exceed 9.91 trillion TShs, while Domestic VAT may reach 11.48 trillion TShs, signaling a strong trajectory for Tanzania’s tax revenue and economic expansion.
Detailed Breakdown of Tax Items
P.A.Y.E. (Pay As You Earn)
1996/97: 38,357.8 Million TShs
2023/24: 3,320,646.9 Million TShs
Total Growth: 8,558%
This indicates an astronomical increase, highlighting the success of revenue collection efforts and the growth of the formal employment sector.
Average Annual Growth Rate: 20%
A consistent growth rate that reflects robust economic performance and improved taxpayer compliance.
Forecast for 2030: 9,915,398.5 Million TShs
This projection suggests that as employment continues to grow, P.A.Y.E. will significantly contribute to total tax revenue.
Corporation Tax
1996/97: 54,689.7 Million TShs
2023/24: 3,574,291.1 Million TShs
Total Growth: 6,433%
This growth indicates enhanced corporate profitability and compliance with tax regulations.
Average Annual Growth Rate: 18%
A steady increase that signifies the expansion of the business environment in Tanzania.
Forecast for 2030: 9,648,992.4 Million TShs
The forecast anticipates that corporate income will continue to rise, further boosting tax revenues.
Individual Income Tax
1996/97: 9,117.9 Million TShs
2023/24: 284,795.6 Million TShs
Total Growth: 3,023%
Indicates significant growth in individual earnings and the effectiveness of tax collection mechanisms.
Average Annual Growth Rate: 16%
Reflects steady increases in individual income and compliance.
Forecast for 2030: 693,874.9 Million TShs
Projected growth suggests improvements in income levels across the population.
Other Income Taxes
1996/97: 23,442.3 Million TShs
2023/24: 2,337,045.5 Million TShs
Total Growth: 9,870%
Indicates broadening of the tax base and increased revenue from various sources.
Expected growth points to ongoing improvements in revenue collection.
Domestic Excise Duty
1996/97: 61,923.3 Million TShs
2023/24: 1,974,229.0 Million TShs
Total Growth: 3,088%
Reflects increased consumption of excise goods.
Average Annual Growth Rate: 15%
Suggests consistent consumption growth and tax compliance.
Forecast for 2030: 4,566,511.6 Million TShs
Future projections suggest continued revenue growth from excise duties.
Domestic VAT (Value Added Tax)
1996/97: 67,053.2 Million TShs
2023/24: 3,845,345.9 Million TShs
Total Growth: 5,635%
Highlights substantial growth in consumption and services subject to VAT.
Average Annual Growth Rate: 20%
Indicates strong consumer spending and tax compliance.
Forecast for 2030: 11,482,141.3 Million TShs
Expected significant growth as consumer spending increases.
Import Duty
1996/97: 77,910.5 Million TShs
2023/24: 1,845,087.5 Million TShs
Total Growth: 2,268%
Indicates increased imports and revenue generation from customs duties.
Average Annual Growth Rate: 13%
Suggests steady import growth.
Forecast for 2030: 3,841,383.2 Million TShs
Future increases expected as trade activities grow.
Excise Duty on Imports
1996/97: 29,760.1 Million TShs
2023/24: 1,533,699.0 Million TShs
Total Growth: 5,053%
Reflects growth in imported goods subject to excise duties.
Average Annual Growth Rate: 17%
Indicates growing reliance on imported products.
Forecast for 2030: 3,934,189.8 Million TShs
Projections suggest further increases in revenue from import excise duties.
VAT on Imports
1996/97: 54,909.4 Million TShs
2023/24: 3,748,862.6 Million TShs
Total Growth: 6,726%
Highlights substantial increases in imported goods and VAT revenue.
Average Annual Growth Rate: 18%
Reflects effective tax collection and growth in imports.
Forecast for 2030: 10,120,257.6 Million TShs
Future projections suggest a continued rise in VAT from imports.
Summary Analysis
Substantial Growth Across All Categories: The data shows impressive growth rates across all tax categories, indicating Tanzania's success in expanding its tax base and improving compliance.
Consistent Annual Growth Rates: Sustained growth rates in key areas like P.A.Y.E., Domestic VAT, and Corporation Tax reflect a dynamic economy with increasing formal employment and corporate activity.
Positive Outlook to 2030: The forecasts indicate significant revenue increases across all tax categories, with P.A.Y.E. and Domestic VAT projected to exceed 9.9 trillion TShs and 11.4 trillion TShs, respectively, suggesting robust economic growth and increased formalization of the economy.
The growth rate and percentage increase for each tax item from 1996/97 to 2023/24 alongside the forecasted figures for 2030:
Tax Item
1996/97 (Million TShs)
2023/24 (Million TShs)
Total Growth (%)
Average Annual Growth Rate (%)
Forecast for 2030 (Million TShs)
Growth Rate (%)
P.A.Y.E.
38,357.8
3,320,646.9
8,558%
20%
9,915,398.5
20%
Corporation Tax
54,689.7
3,574,291.1
6,433%
18%
9,648,992.4
18%
Individual Income Tax
9,117.9
284,795.6
3,023%
16%
693,874.9
16%
Other Income Taxes
23,442.3
2,337,045.5
9,870%
19%
6,636,650.3
19%
Domestic Excise Duty
61,923.3
1,974,229.0
3,088%
15%
4,566,511.6
15%
Domestic VAT
67,053.2
3,845,345.9
5,635%
20%
11,482,141.3
20%
Import Duty
77,910.5
1,845,087.5
2,268%
13%
3,841,383.2
13%
Excise Duty on Imports
29,760.1
1,533,699.0
5,053%
17%
3,934,189.8
17%
VAT on Imports
54,909.4
3,748,862.6
6,726%
18%
10,120,257.6
18%
Analysis of the Table:
Substantial Growth: The data illustrates that all tax categories have experienced impressive growth rates over the 27 years, demonstrating Tanzania's success in broadening its tax base.
Consistent Average Annual Growth Rates: The average annual growth rates indicate sustained growth across various tax items, particularly in P.A.Y.E., Domestic VAT, and Corporation Tax, which reflect the country's economic expansion and improved compliance.
Forecasted Growth to 2030: The forecast for 2030 shows that these trends are expected to continue, with significant increases in revenue for all tax items. The P.A.Y.E. is projected to exceed 9.9 trillion TShs, highlighting anticipated growth in formal employment and income levels.
Overall, these figures not only demonstrate the effectiveness of Tanzania's tax policies and administration over the past few decades but also indicate a positive economic outlook moving forward.