Tanzania Inflation Report June 2026: NCPI Rises to 125.04 as Headline Inflation Eases to 4.0% | TICGL
TICGL Economic Research • National Bureau of Statistics Data • Published 8 July 2026
Tanzania's Inflation Eases to 4.0% in June 2026 as Transport Costs Keep Climbing
The National Bureau of Statistics' June 2026 NCPI release shows headline inflation cooling from 4.2% to 4.0% and food inflation easing sharply — even as transport costs surge 13.6% year-on-year and core inflation creeps higher. TICGL breaks down every number that matters.
Source: National Bureau of Statistics (NBS), Tanzania — Press Release Ref: AC 334/376/01/380, dated 8th July 2026. Analysis and visualization by TICGL Economic Research.
Executive Summary
Headline inflation eased to 4.0% in June 2026, down from 4.2% in May 2026, as the National Consumer Price Index (NCPI) rose from 124.90 to 125.04 (2020 = 100).
Food and non-alcoholic beverages inflation fell sharply to 4.1% from 5.6% in May — the single largest driver of the headline slowdown, even though several staples (sorghum, lentils, cassava) still recorded monthly increases.
Core inflation, which strips out volatile food and energy prices, rose to 3.7% from 3.4%, suggesting underlying price pressure is building even as headline inflation cools.
Transport remains the fastest-inflating major group at 13.6% year-on-year, pushed by a 7.6% monthly jump in motorcycle (bodaboda) fares, plus rising diesel, bus and taxi fares.
Energy, Fuel and Utilities inflation accelerated to 6.3% from levels seen in May, with gas (+4.3%) and kerosene (+4.5%) both climbing on a monthly basis.
Tanzania's inflation for June 2026 remains within the Bank of Tanzania's medium-term target band, but the widening gap between easing food inflation and rising core and transport inflation is a signal worth watching for FY2026/27 fiscal and monetary planning.
The National Consumer Price Index (NCPI) tracks the changing cost of a fixed basket of 383 goods and services — 132 food and non-alcoholic beverage items and 251 non-food items — priced across all 26 regional headquarters on the Tanzanian mainland. Weights are drawn from the 2017/18 Household Budget Survey, with 2020 as both the base and index reference period. The index is compiled following the UN's Classification of Individual Consumption by Purpose (COICOP 2018) across 13 divisions, and elementary aggregates use a geometric mean of price relatives while higher-level aggregates apply the Lowe (Laspeyres-type) index formula.
383
Goods & services in the basket
132
Food & non-alcoholic beverage items
251
Non-food items
26
Mainland regions covered
2020
Index & base reference period
02Headline Inflation: The 13-Month Trend
The chart below plots the NCPI level against the annual headline inflation rate from June 2025 through June 2026. The index climbed steadily from 120.18 to 125.04 over the year, while the inflation rate fluctuated in a comparatively narrow band of 3.2% to 4.2% before easing to 4.0% in the latest release.
NCPI Level vs. Headline Inflation Rate — June 2025 to June 2026 2020 = 100
Source: NBS NCPI Press Release, Chart 1, June 2026 (Ref: AC 334/376/01/380).
Table A — Monthly NCPI level and annual inflation rate, June 2025–June 2026
Month
NCPI (2020=100)
Annual Inflation Rate (%)
03Food vs. Core vs. Headline: A Diverging Picture
June 2026 tells a split story. Food inflation fell hard — from 5.6% to 4.1% — pulling the headline rate down with it. But core inflation, which excludes unprocessed food, energy and utilities, moved the other way, rising from 3.4% to 3.7%. That divergence matters: it suggests that once volatile food and fuel effects are stripped out, the underlying pace of price increases across the wider economy is quietly accelerating.
Headline vs. Food vs. Core Inflation, May 2026 → June 2026
Source: NBS NCPI Press Release, Sections 2.1–2.3, June 2026.
04Inflation by Consumption Group (COICOP)
Table 1 of the NBS release breaks the NCPI into 13 COICOP divisions. Transport (+13.6% y/y) and Energy, Fuel & Utilities (+6.3% y/y) are by far the fastest-moving categories, while Insurance & Financial Services (+0.2%) and Recreation, Sport & Culture (+0.5%) barely moved over the year.
12-Month Inflation Rate by COICOP Group — June 2026
Weights shown in Table B reflect each group's share of total household expenditure used to compile the NCPI.
Table B — NCPI by main group, weight and index values (2020=100)
#
Main Group
Weight (%)
Jun 2025
May 2026
Jun 2026
1-Month Change
12-Month Change
05Core, Non-Core, Goods, Services & Energy Indices
Beyond the 13 main groups, NBS publishes supplementary indices that help policymakers separate volatile price swings from underlying trends. The Services Index rose 5.4% year-on-year — faster than the Goods Index at 3.3% — indicating that labour- and rent-linked costs are rising faster than tradable goods prices.
Supplementary Indices — 12-Month Change
Weight Share of Core vs. Non-Core
Table C — Supplementary index aggregations, June 2026
Index
Weight (%)
Jun 2025
May 2026
Jun 2026
1-Month Change
12-Month Change
06What Pushed Prices Up Between May and June 2026
Month-on-month, the NCPI rose only marginally — from 124.90 to 125.04 — but the release names specific items behind that movement. On the food side, sorghum grains (+5.1%), dried lentils (+3.8%) and sorghum flour (+4.5%) led the increases. On the non-food side, motorcycle/bodaboda fares (+7.6%), kerosene (+4.5%) and gas (+4.3%) were the standout movers.
Top Monthly Price Movers — Food vs. Non-Food Items (May → June 2026)
All values are month-on-month percentage changes for individual items within the NCPI basket.
Full list of food items contributing to the June 2026 increase
Sorghum grains +5.1%Sorghum flour +4.5%Dried lentils +3.8%Dried peas +3.6%Poultry live +3.7%Dried sardines +3.5%Fresh cassava +2.9%Fresh fish +2.7%Flour of cassava +1.9%Soft drinks +1.7%Wheat flour +1.3%Irish/round potatoes +0.7%Bottled drinking water +0.6%Raw milk of cattle +0.3%Dried cowpeas +0.3%Pasta products +0.2%Meat of poultry +0.1%
Full list of non-food items contributing to the June 2026 increase
Motorcycle/bodaboda fare +7.6%Kerosene +4.5%Gas +4.3%Charcoal +3.0%Bus fare +3.1%Diesel +2.6%Taxi fare +2.6%Clothing materials +1.1%Products/materials for dwelling maintenance +1.0%Footwear (children) +0.3%Footwear (women) +0.2%Actual rentals paid by tenants +0.2%Footwear (men) +0.1%
07Why This Matters for Business and Investment in Tanzania
For businesses operating in or entering Tanzania, three signals in this release are worth flagging. First, easing food inflation is good news for household purchasing power and consumer-facing sectors such as retail and FMCG. Second, rising core inflation — now at its highest point in the 13-month window shown here — suggests that non-food, non-energy cost pressures (rent, services, wages) are building steadily, which matters for pricing and wage-planning decisions. Third, transport inflation at 13.6% is a direct cost pressure on logistics, distribution and last-mile delivery across Tanzania's regions, and is closely tied to fuel and bodaboda fare movements that also touch informal-sector incomes.
08NCPI Release Schedule
NBS publishes the NCPI monthly. The next three scheduled releases are set out below.
Table D — Upcoming NCPI release dates
Reference Month
Release Date
July 2026
10th August 2026
August 2026
08th September 2026
September 2026
08th October 2026
09Muhtasari kwa Kiswahili
Mfumuko wa bei nchini Tanzania umepungua hadi asilimia 4.0 mwezi Juni 2026, kutoka asilimia 4.2 mwezi Mei 2026, kulingana na Ofisi ya Taifa ya Takwimu (NBS). Kiwango cha mfumuko wa bei za vyakula kimeshuka kwa kasi hadi asilimia 4.1 kutoka asilimia 5.6, ikichangia kwa kiasi kikubwa kupungua kwa mfumuko wa bei kwa ujumla. Hata hivyo, mfumuko wa bei msingi (Core Inflation) umepanda hadi asilimia 3.7 kutoka asilimia 3.4, ikionesha kuwa shinikizo la bei kwenye bidhaa na huduma zisizo za vyakula na nishati linaendelea kuongezeka.
Sekta ya usafirishaji (Transport) imeendelea kuongoza kwa kasi ya mfumuko wa bei ya asilimia 13.6 kwa mwaka, ikichagizwa na ongezeko la nauli za bodaboda (+7.6% kwa mwezi), mafuta ya dizeli, na nauli za mabasi na teksi. Bei za nishati, gesi na mafuta ya taa pia ziliongezeka kwa kasi mwezi Juni 2026. Takwimu hizi ni muhimu kwa wafanyabiashara, wawekezaji, na watunga sera wanapopanga bajeti na mikakati ya bei kwa mwaka wa fedha 2026/27.
Source: National Bureau of Statistics (NBS), United Republic of Tanzania — "National Consumer Price Index (NCPI) for June, 2026," Press Release Ref: AC 334/376/01/380, dated 8th July 2026. All figures, tables and item-level price movements are drawn directly from this NBS publication. Analysis, charts and commentary are produced by TICGL Economic Research and do not constitute financial or investment advice.
Explore More Tanzania Economic Research from TICGL
Tanzania Tourism Economic Impact 2025: Arrivals, Earnings & Forecast to 2030/2031 | TICGL
TICGL Economic Research · Tourism & Macroeconomy
Tanzania's Tourism Dividend: Record 2025 Earnings and the Road to a US$1 Trillion Economy
A statistical breakdown of the 2025 International Visitors' Exit Survey — arrivals, spending, source markets, and what a record tourism season means for Tanzania's foreign exchange earnings, growth trajectory, and the outlook to 2030/2031.
Published: 08 July 2026By TICGL / Tanzania Economic Research Institute (TERI)Source: NBS, BOT, MNRT, ZCT, Immigration Services Department — 2025 Exit Survey
2,294,495
International arrivals, 2025 (URT)
▲ 7.1% vs 2024
USD 4.41bn
Tourism earnings, 2025 (URT)
▲ 13% vs 2024
USD 289
Avg. spend / person / night (URT)
▲ 19% vs 2024
USD 1.19bn
Zanzibar tourism earnings, 2025
▲ 19.3% vs 2024
Executive Summary
Tanzania's tourism sector closed 2025 with its strongest performance since the 2001 inception of the International Visitors' Exit Survey. According to the 25th edition of the survey — jointly produced by the Ministry of Natural Resources and Tourism (MNRT), the Bank of Tanzania (BOT), the National Bureau of Statistics (NBS), the Immigration Services Department (ISD) and the Zanzibar Commission for Tourism (ZCT) — the country welcomed 2,294,495 international visitors in 2025, a 7.1% increase over 2024, and earned USD 4,410.6 million in tourism receipts, up 13% year-on-year. Zanzibar, tracked separately, recorded 654,880 arrivals and USD 1,190.8 million in earnings — a 19.3% jump.
The headline number that matters most for macroeconomic planners is not arrivals but value per visitor: overall average expenditure per person per night rose 19% in mainland Tanzania (to USD 289) and 9% in Zanzibar (to USD 274), meaning earnings grew almost twice as fast as arrivals. This report unpacks that gap statistically, traces the tourism–growth relationship, and projects the sector's trajectory to 2030/2031 — a horizon directly relevant to Tanzania's Dira 2050 ambition of a US$1 trillion economy.
📈
Companion Research: What's Next for Tanzania's Economy?
This tourism analysis feeds directly into TICGL's broader macroeconomic investigation of the policy gaps standing between Tanzania and its Dira 2050 target of a US$1 trillion economy. If tourism is one of the country's clearest growth engines, understanding where policy is — and isn't — keeping pace is essential context.
Global tourism fully recovered its pre-pandemic trajectory in 2025. International arrivals worldwide reached 1.52 billion, roughly 60 million more than 2024 (a 4% annual increase), while international tourism receipts rose 5% to approximately USD 1.9 trillion. Total tourism export revenues — receipts plus passenger transport — hit a record USD 2.2 trillion. Africa was among the fastest-growing regions, attracting over 80 million visitors and posting a 117% recovery rate relative to 2019, ahead of the global average of 104%.
Chart 1 — Global International Tourist Arrivals, 2016–2025 (millions)
Source: UNWTO World Tourism Barometer, January 2026. p = provisional.
Why this matters for Tanzania: Tanzania's 7.1% arrival growth outpaced the global average of 4%, and its 13% earnings growth outpaced the global receipts growth of 5% — evidence that Tanzania is gaining share of global tourism demand, not merely riding the post-pandemic tide.
Tanzania's tourist arrivals have followed a clear V-shaped recovery since the 2020 pandemic collapse (621,000 arrivals, a 59% drop from 2019). By 2025, arrivals reached 2,294,495 — more than 1.5 times the pre-pandemic 2019 level of 1,527,000, and over 3.6 times the 2020 trough.
Chart 3 — International Tourist Arrivals in Tanzania, 2015–2025 (thousands)
Source: Immigration Services Department (ISD), reproduced in the 2025 International Visitors' Exit Survey Report.
Table 1 — Tanzania Tourism Headline Indicators, 2024 vs 2025
Indicator
2024
2025
Change
International arrivals (URT)
2,141,895
2,294,495
+7.1%
Tourism earnings, URT (USD million)
3,903.1
4,410.6
+13.0%
Zanzibar arrivals
601,006
654,880
+9.0%
Zanzibar tourism earnings (USD million)
997.8
1,190.8
+19.3%
Avg. expenditure per person/night, URT (USD)
243
289
+19.1%
Avg. expenditure per person/night, Zanzibar (USD)
251
274
+9.0%
Average length of stay, URT (nights)
10
9
−1 night
Average length of stay, Zanzibar (nights)
7
6
−1 night
Package tour share, URT
56.3%
58.8%
+2.5 pts
Package tour share, Zanzibar
61.8%
67.2%
+5.4 pts
3. The Tourism–Economy Nexus: Tanzania's "Safari Dividend"
TICGL uses the term "Safari Dividend" to describe the gap between arrivals growth and earnings growth in Tanzania's tourism data — the extra value captured per visitor beyond simple volume growth. In 2025, arrivals grew 7.1% but earnings grew 13.0%, meaning roughly 5.5 percentage points of earnings growth came purely from visitors spending more, not from more visitors arriving. This is the statistical signature of a maturing, higher-value tourism economy rather than a purely volume-driven one.
Chart 4 — Decomposing 2025 Earnings Growth (URT)
Chart could not load. Arrivals growth contribution: 7.1%. Per-visitor spend growth contribution: ~5.5%. Combined earnings growth: 13.0%.
TICGL calculation from NBS/BOT/MNRT 2025 Exit Survey data.
Chart 5 — Avg. Expenditure per Person/Night, URT, 2019–2025 (USD)
Source: 2025 International Visitors' Exit Survey Report, Chart 2.30.
Tourism functions as one of Tanzania's principal sources of foreign exchange, alongside agricultural exports and mining. Every dollar of tourism earnings that enters the economy strengthens the current account, supports the shilling, and — through the hospitality, transport, and retail value chains — cascades into employment and small business income far beyond the parks and beaches where the spending physically occurs. The sector's 2025 performance, following an official government assessment of the sector as having "fully recovered and surpassed the COVID-19 pandemic era," reflects arrivals more than 1.5 times above 2019 pre-pandemic levels.
Macro read: With broader economic growth running at approximately 6% per year and tourism earnings growing more than twice that rate, tourism is currently expanding as a share of Tanzania's overall economic activity — reinforcing its position as one of the country's fastest-growing tradable sectors.
4. Source Markets: Who Is Visiting Tanzania
The top 15 source markets accounted for over 75% of total visitors to mainland Tanzania and about 77% of visitors to Zanzibar in 2025. The United States and Italy continue to anchor mainland demand, while Italy dominates Zanzibar. Notably, the Netherlands and India entered the mainland top-15 list in 2025, displacing Australia and Burundi — a sign of market diversification driven by promotional efforts.
Chart 6 — Top 15 Source Markets, Tanzania Mainland (URT), 2025 (%)
Chart could not load. See Table 2 below for full data.
Source: 2025 International Visitors' Exit Survey, Chart 2.1.
Chart 7 — Top 15 Source Markets, Zanzibar, 2025 (%)
Chart could not load. See Table 3 below for full data.
Source: 2025 International Visitors' Exit Survey, Chart 2.3.
Table 2 — Top 15 Source Markets, Tanzania Mainland, 2024 vs 2025 (%)
Country
2024 (%)
2025 (%)
United States
15.1
12.4
Italy
11.6
11.8
France
7.2
7.0
Kenya
8.8
6.4
United Kingdom
6.3
6.0
Germany
4.8
4.8
Zambia
3.2
4.7
Netherlands
—
3.8
Spain
5.3
3.6
DR Congo
3.0
3.2
China
3.0
3.1
South Africa
3.1
2.4
India
—
2.2
Canada
2.1
2.0
Zimbabwe
2.3
2.0
Table 3 — Top 15 Source Markets, Zanzibar, 2024 vs 2025 (%)
Country
2024 (%)
2025 (%)
Italy
19.9
18.8
France
12.3
10.6
United Kingdom
9.0
7.7
United States
7.2
6.6
Germany
7.0
6.4
Netherlands
2.3
5.6
Spain
7.5
5.1
South Africa
5.9
3.3
Poland
—
2.3
Australia
2.3
2.3
Kenya
3.6
2.0
Belgium
1.2
1.8
Greece
—
1.7
Canada
1.4
1.7
Austria
1.5
1.7
5. Purpose of Visit, Travel Arrangement & Length of Stay
Leisure and holidays dominate: 64.6% of mainland visitors and 92.9% of Zanzibar visitors travel for this purpose. Business travel remains economically significant on the mainland (12.5%) — reflecting Tanzania's role as a logistics hub for landlocked neighbours such as Zambia and the DRC — but is negligible in Zanzibar (0.4%).
Chart 8 — Purpose of Visit, URT vs Zanzibar, 2025 (%)
Chart could not load. Leisure/holidays — URT: 64.6%, Zanzibar: 92.9%. VFR — URT: 12.3%, Zanzibar: 3.9%. Business — URT: 12.5%, Zanzibar: 0.4%. Meetings — URT: 2.7%, Zanzibar: 0.8%. Other — URT: 7.9%, Zanzibar: 2.0%.
Source: 2025 Exit Survey, Chart 2.9.
Chart 9 — Package Tour Share Trend, URT vs Zanzibar, 2019–2025 (%)
The rising share of package tours (58.8% mainland, 67.2% Zanzibar) is economically important: package tourists spend far more per night than independent travellers. In 2025, mainland package travellers spent USD 479 per person per night versus USD 203 for independent travellers — a 2.4x premium.
Table 4 — Average Length of Stay, URT vs Zanzibar, 2020–2025 (nights)
Chinese visitors recorded the highest average expenditure per person per night in the mainland top-15 markets at USD 551 (up from USD 491 in 2024), followed by long-haul European and North American travellers. Visitors from neighbouring landlocked countries (DR Congo, Kenya, Zambia, Zimbabwe) spent considerably less per night, consistent with shorter, business-oriented, cross-border trips rather than long-haul leisure travel.
Chart 10 — Independent vs Package Expenditure per Person/Night, URT, 2019–2025 (USD)
Table 5 — Tourism Earnings by Purpose of Visit, URT, 2025 (USD million)
Purpose of visit
Package
Non-package
Total
Leisure and holidays
3,023.3
899.1
3,922.4
Visiting friends & relatives
4.0
91.4
95.4
Other
26.0
48.0
74.1
Business
3.1
45.9
49.0
Total tourism earnings
3,056.5
1,084.4
4,140.9
Note: This breakdown table (Table 2.16 of the source survey) totals USD 4,140.9 million; the headline national figure cited in the survey's Executive Summary is USD 4,410.6 million. TICGL reproduces both as published by NBS/BOT/MNRT without adjustment.
Payment channels: Cash remained the dominant payment method in 2025 (87.0% URT, 82.4% Zanzibar), with credit/debit cards accounting for 12.8% and 17.1% respectively — a formal-sector share that has room to grow as digital and mobile-money payment infrastructure expands in the tourism corridor.
7. Zanzibar: A Distinct Economic Engine
Zanzibar's tourism economy is structurally different from the mainland's: 92.9% of visitors come for leisure, average expenditure growth (9%) has been more moderate than the mainland's (19%), and the package-tour share (67.2%) is now the highest on record. Beach tourism accounts for 88.9% of all recorded activity, with wildlife (10.6%) — largely dolphin and marine excursions — a distant second.
Table 6 — Zanzibar Tourism Earnings by Purpose of Visit, 2025 (USD million)
Purpose of visit
Package
Non-package
Total
Leisure and holidays
702.6
486.4
1,188.9
Visiting friends & relatives
0.4
1.1
1.5
Business
0.2
0.0
0.3
Other
0.0
0.1
0.1
Total earnings
703.2
487.6
1,190.8
Zanzibar's near-total dependence on leisure tourism (over 92% of arrivals) makes it more exposed to global discretionary-spending cycles than the mainland's more diversified visitor base — a risk concentration policymakers should weigh alongside the island's clear revenue strengths.
8. TICGL Forecast: Arrivals & Earnings to 2030/2031
Methodology note: The figures below are TICGL Economic Research indicative projections, not official government forecasts. They apply three compound annual growth rate (CAGR) scenarios to the 2025 base year (2,294,495 arrivals; USD 4,410.6 million in earnings): a Low case (4% arrivals / 6% earnings CAGR, reflecting a slowdown toward the global UN Tourism outlook of 3–4%), a Base case (6% arrivals / 9% earnings CAGR, aligned with Tanzania's broader ~6% GDP growth trajectory and continued per-visitor spend gains), and a High case (8% arrivals / 12% earnings CAGR, reflecting sustained momentum from Tanzania's 2025 World Travel Awards wins and expanding air connectivity).
Chart 11 — Forecast: Tanzania International Arrivals, 2019–2031 (millions, scenario analysis)
Chart could not load. See Table 7 below for full forecast figures.
Historical: ISD/NBS. Projections 2026–2031: TICGL Economic Research (indicative, non-official).
Reading the forecast: Under the Base case, Tanzania's tourism sector alone could contribute a cumulative USD 30–35 billion in earnings between 2026 and 2031, with the annual run-rate approaching USD 7.4 billion by 2031 — roughly 68% above the 2025 level. Even the Low case implies earnings growth outpacing global tourism receipts projections (3–4% p.a.), underscoring how much of Tanzania's tourism growth story is domestically driven rather than dependent on global tailwinds.
9. Constraints & Areas Needing Investment
Visitors were candid about what needs improvement. Roads and infrastructure top the list by a wide margin in both mainland Tanzania (35.3% of comments) and Zanzibar (29.6%), followed by airport and hotel facilities, and traffic congestion.
Table 9 — Top Areas for Improvement Cited by Visitors, 2025 (%)
Area
URT (%)
Zanzibar (%)
Roads and infrastructure
35.3
29.6
Airport and hotel facilities
8.5
7.7
Traffic jams
7.0
5.3
Visa and airport procedures
4.9
6.1
Security and safety
3.2
5.6
Social services
3.6
3.8
Customer service quality
3.5
4.5
Conservation measures
3.1
4.8
The government has responded with targeted investment: ongoing road construction inside Ngorongoro Conservation Area, Ruaha and Mikumi national parks; the near-complete Msalato International Airport in Dodoma; expansion of AAKIA in Zanzibar; and new airstrips at Tanga, Lake Manyara, Nyerere National Park and Serengeti Mugumu. These directly target the infrastructure bottleneck visitors flag most consistently — and represent the clearest lever for converting the High-case forecast scenario (Section 8) into reality.
10. Outlook & Policy Implications
Three factors underpin a positive medium-term outlook for Tanzania's tourism-driven growth: (1) brand momentum — Tanzania's 18-award sweep at the 2025 World Travel Awards, Serengeti's ranking as Africa's best wildlife park, and a top-10 global ranking for natural beauty are raising the country's profile in exactly the long-haul, high-spend markets (US, Italy, China) that already post the highest per-night expenditure; (2) connectivity investment — new routes (e.g., RwandAir's Kigali–Zanzibar service) and airport upgrades are reducing a structural constraint on arrivals growth; and (3) product diversification — the leading attractions' combined visitor share fell from 62.6% (2024) to 58.9% (2025), showing visitors are spreading demand across a wider range of sites, which reduces overcrowding risk at flagship parks and builds resilience into the visitor economy.
For policymakers, the clearest actionable insight from the 2025 data is that value capture, not just volume, is the more powerful growth lever: a 1 percentage-point increase in average nightly expenditure has historically moved earnings more than a 1 percentage-point increase in arrivals. Continued investment in service quality, product diversification beyond traditional wildlife/beach circuits, and infrastructure that reduces friction (roads, airports, visa processes) should therefore be prioritised alongside — not instead of — market-diversification and route-development efforts.
11. Frequently Asked Questions
How much did tourism earn Tanzania in 2025?
Tanzania's tourism sector earned USD 4,410.6 million in 2025, up 13% from USD 3,903.1 million in 2024. Zanzibar separately recorded USD 1,190.8 million, up 19.3% from USD 997.8 million in 2024.
How many tourists visited Tanzania in 2025?
Tanzania recorded 2,294,495 international arrivals in 2025 (+7.1% year-on-year). Zanzibar recorded 654,880 arrivals (+9%).
Which countries send the most tourists to Tanzania?
The United States (12.4%), Italy (11.8%), France (7.0%), Kenya (6.4%) and the United Kingdom (6.0%) lead mainland arrivals. Italy (18.8%), France (10.6%), the UK (7.7%) and the US (6.6%) lead Zanzibar arrivals.
What is Tanzania's tourism forecast for 2030 and 2031?
Under TICGL's Base-case scenario (6% CAGR), arrivals could reach approximately 3.07 million in 2030 and 3.25 million in 2031, with earnings potentially reaching USD 6.8 billion and USD 7.4 billion respectively. These are indicative research estimates, not official projections.
How much do tourists spend per night in Tanzania?
In 2025, average expenditure was USD 289 per person per night in mainland Tanzania and USD 274 per person per night in Zanzibar.
Related TICGL Research & Tools
Continue exploring Tanzania's economic story with these related resources from TICGL and the Tanzania Economic Research Institute (TERI).
Contribute to research like this — apply to TICGL's Researcher Programme.
Muhtasari kwa Kiswahili
Hapa chini ni muhtasari wa uchambuzi huu wa kiuchumi kuhusu sekta ya utalii Tanzania kwa mwaka 2025, kama ulivyoainishwa katika Ripoti ya Utafiti wa Watalii Wanaotoka nchini (International Visitors' Exit Survey) 2025.
Idadi ya watalii: Tanzania ilipokea watalii 2,294,495 mwaka 2025, ongezeko la asilimia 7.1 ikilinganishwa na mwaka 2024. Zanzibar peke yake ilipokea watalii 654,880, ongezeko la asilimia 9.
Mapato ya utalii: Sekta ya utalii iliingiza jumla ya Dola za Kimarekani milioni 4,410.6 (Tanzania Bara), ongezeko la asilimia 13 kutoka mwaka 2024. Zanzibar iliingiza Dola milioni 1,190.8, ongezeko la asilimia 19.3.
Matumizi ya watalii: Kwa wastani, kila mtalii alitumia Dola 289 kwa siku Tanzania Bara (ongezeko la asilimia 19) na Dola 274 kwa siku Zanzibar (ongezeko la asilimia 9) — ushahidi kwamba ukuaji wa mapato unatokana zaidi na kuongezeka kwa thamani ya matumizi ya kila mtalii, si idadi tu.
Nchi zinazoongoza kwa watalii: Marekani, Italia, Ufaransa, Kenya na Uingereza zinaongoza Tanzania Bara; wakati Italia, Ufaransa na Uingereza zinaongoza Zanzibar.
Utabiri hadi 2030/2031: Kwa kutumia mfumo wa TICGL wa "Base case" (ukuaji wa asilimia 6 kwa mwaka), watalii wanaweza kufikia takriban milioni 3.07 mwaka 2030 na milioni 3.25 mwaka 2031, huku mapato yakiweza kufikia Dola bilioni 6.8 na bilioni 7.4 mtawalia. Haya ni makadirio ya kitafiti ya TICGL, si takwimu rasmi za serikali.
Changamoto kuu: Miundombinu ya barabara, viwanja vya ndege, na msongamano wa magari ndizo changamoto kubwa zilizotajwa na watalii — na ndizo maeneo yanayohitaji uwekezaji zaidi ili kuongeza mapato ya sekta hii muhimu kwa uchumi wa Tanzania.
Data Source
The 2025 International Visitors' Exit Survey Report — Ministry of Natural Resources and Tourism (MNRT), Bank of Tanzania (BOT), National Bureau of Statistics (NBS), Immigration Services Department (ISD), Zanzibar Commission for Tourism (ZCT). Global figures: UNWTO World Tourism Barometer, January 2026. TICGL forecast figures (Section 8) are TICGL Economic Research estimates and are not official government projections.
Why Did Dangote Choose Kenya Over Tanzania for Its $20 Billion Refinery? | TICGL
TICGL / TERI · Investment Research Note · July 2026
Why Did Dangote Choose Kenya Over Tanzania for Its $20 Billion Refinery — And What Does It Mean for Investors?
Dangote Industries has confirmed its 700,000 bpd, USD 15-20 billion East African refinery will rise at Lamu, Kenya — not Tanga, Tanzania. TICGL unpacks the diplomatic misstep, the deeper structural gaps behind it, and the parallel power, fertiliser and port pipeline Tanzania just secured instead.
Prepared by: TICGL Research DivisionAuthor: Amran Bhuzohera, Managing Director & Chief EconomistPublished: July 2026
The headline number, the headline decision, and why TICGL says this was never really about diplomacy alone.
700,000
barrels/day refinery capacity
$15-20bn
estimated investment size
Lamu, Kenya
final chosen site
~15%
Tanzania's 2025 FDI realisation rate
Dangote Industries Limited has confirmed that its planned 700,000-barrel-per-day East African refinery — the group's largest refining investment outside Nigeria — will be sited at Lamu, Kenya, rather than Tanga, Tanzania. Company officials told Reuters that the site has been selected, soil tests are under way, and design and engineering work has commenced, with financing to be drawn from internal cash flow, bonds and a planned initial public offering.
The decision followed a diplomatic misstep rather than a straightforward least-cost analysis: Kenya's President William Ruto announced at a Nairobi summit that the refinery would be built at Tanga before Tanzania's government had approved the plan, prompting President Samia Suluhu Hassan to publicly disown it. Dangote then pivoted toward Mombasa and, subsequently, Lamu — citing superior port depth, larger fuel consumption, and a bigger economy as the deciding commercial factors.
TICGL's core reading: the diplomatic friction was the proximate trigger, but the underlying decision was shaped by structural investment-climate variables TICGL has tracked for years — a narrow tax base, a manufacturing sector stuck near 8% of GDP, a private sector crowded out by government borrowing, an FDI pipeline that converts pledges into disbursed capital at only 15-20%, and permitting/land-acquisition delays averaging 18-24 months.
This is not the end of the Tanzania–Dangote relationship. On 29 June 2026, President Samia met Aliko Dangote at State House in Dar es Salaam and secured commitment to a parallel investment pipeline — a 2,000 MW coal-fired power plant, a urea fertiliser complex, port development, a 40-km port-access road, and an 812-km Mtwara–Mbamba Bay transport corridor — alongside an open invitation for Tanzania to take an equity stake in the Lamu refinery itself. TICGL reads this as evidence that Tanzania remains commercially attractive, but converting interest into disbursed capital still depends on closing the systemic gaps set out below.
The Dangote refinery pivot to Lamu is a live example of the same policy gaps this TICGL report tracks. If Tanzania's tax base, land-permitting, private-capital and FDI-conversion constraints are not addressed, TICGL's Dira 2050 modelling indicates the country risks falling behind its own timetable for building a USD 1 trillion economy by 2050 — meaning fewer mega-projects like this one choose Tanzania, and the roughly 24 years remaining to that target close in faster than the reforms needed to reach it.
The $1 Trillion Milestone Is a 2058–2062 Story, Not 2050
At Tanzania's current real GDP growth rate of 5.9%, the $1 trillion milestone arrives around 2065. Closing the gap to 2050 requires a growth rate of 10.2% nominal per year — nearly double the current pace. This is not a failure of vision; it is a gap in execution. Five structural policy gaps — detailed in the full report — are the primary reasons Tanzania is on a 2058–2062 trajectory rather than a 2050 one. Closing even three of these gaps could advance the timeline by a decade.
1.1 Timeline — from the Nairobi announcement to the confirmed Lamu site.
23 APRIL 2026
At a Nairobi summit, Aliko Dangote pledges a 650,000 bpd East African refinery. Kenya's President Ruto publicly names Tanga, Tanzania as the site, citing the EACOP pipeline route — without prior sign-off from Dodoma.
LATE APRIL 2026
President Samia Suluhu Hassan clarifies her government had not approved a Tanga refinery plan, creating diplomatic friction between Dar es Salaam and Nairobi.
MAY 2026
Dangote pivots publicly toward Mombasa, citing greater port depth, higher domestic fuel consumption, and the larger Kenyan economy. Kenya's National Infrastructure Fund pledges co-investment, with roughly KSh 21.5 billion in seed capital earmarked.
MAY–JUNE 2026
Feasibility studies formally cover three candidate ports — Tanga, Mombasa and Lamu — with Lamu emerging as preferred, in part to serve South Sudan and Ethiopia via the LAPSSET corridor.
29 JUNE 2026
Dangote meets President Samia at State House, Dar es Salaam, confirming the refinery's move to Lamu while unveiling a parallel, non-refinery investment pipeline for Tanzania.
1–7 JULY 2026
Dangote Industries confirms the refinery's capacity at 700,000 bpd and discloses financing via internal cash flow, bonds and a planned IPO, with construction timelines of up to three years.
1.2 Why Kenya Won on Dangote's Own Stated Terms
Four factors recur consistently across reporting on the decision.
Factor Dangote cited
Kenya / Lamu advantage
Tanzania / Tanga position
Port depth & scale
Mombasa handles 45m+ tonnes/year, Africa's largest & deepest regional port
Comparatively shallower, smaller facility at Tanga
Kenya's National Infrastructure Fund pledged direct equity & de-risking (~KSh 21.5bn seed)
No equivalent co-investment vehicle activated in time
Corridor access
Lamu sits on LAPSSET, opening South Sudan & Ethiopia markets
Tanga cannot easily reach these markets
Pipeline proximity (EACOP)
Dangote stated crude can arrive by ship, reducing pipeline-terminus dependence
Assumed EACOP-hosting advantage did not materialise as decisive
Mombasa vs Tanga: Port Throughput Gap
Illustrative comparison of annual port cargo throughput cited as a deciding commercial factor (million tonnes/year).
1.3 The Emerging Tanzania Consolation Package
Rather than walking away, Dangote used the 29 June meeting to lay out a considerably broader pipeline of Tanzania-based investments than the group's existing USD 500 million, 3-million-tonne cement plant in Mtwara.
Component
Scale / detail
Coal-fired power plant
2,000 MW — a potentially transformative addition against Tanzania's current ~4,522 MW installed capacity
Urea fertiliser complex
Extends Dangote's African fertiliser strategy into a market still heavily import-dependent for fertiliser
Port development + access road
40-km concrete access road to relieve congestion around Tanzania's principal ports
Transport corridor
812-km Mtwara–Mbamba Bay corridor to move raw materials and finished goods more efficiently
Special economic zone
Proposed trade/economic zone tied to the pipeline
Lamu refinery equity stake
Open invitation for the Tanzanian government to acquire equity in the Lamu refinery itself
Not yet at financial close. President Samia has directed the Minister of Planning and Investment, Prof. Kitila Mkumbo, to coordinate technical negotiations. On TICGL's registration-to-disbursement framework, the conversion of this pipeline into disbursed capital — not the announcement itself — will be the true test of Tanzania's investment climate.
2. Systemic Investment-Climate Challenges — the TICGL Lens
TICGL's ongoing Dira 2050 policy-gap research and FDI registration-to-disbursement analysis identify recurring structural constraints that shape how large investors like Dangote evaluate Tanzania against regional peers.
2.1 A Narrow, Shallow Tax Base
Tanzania's tax-to-GDP ratio stands at approximately 13.1%, below the Sub-Saharan Africa average of roughly 16% and well short of the 18-20% associated with sustainable middle-income economies. Corporate income tax of approximately 30% sits above Kenya's 25% and Rwanda's 28%, while compliance remains time-intensive relative to regional peers. VAT refund arrears — estimated at TZS 1.4-1.5 trillion — further strain working capital for capital-intensive investors.
Tax-to-GDP Ratio: Tanzania vs Regional Benchmarks
Tanzania trails the Sub-Saharan Africa average and the 18-20% band typical of sustainable middle-income economies.
TICGL recommendation: broaden the base by formalising the informal economy rather than raising rates on existing formal taxpayers, alongside automation of tax administration.
2.2 An Industrialisation and Infrastructure Deficit
Manufacturing contributes only about 8.1% of GDP, against a 22-28% range typically associated with a USD 1 trillion-scale economy under Tanzania's Dira 2050 ambition. Installed power capacity of roughly 4,522 MW remains far below the 15,000 MW envisioned for 2050. In the specific case of the refinery, Tanga's comparatively shallow port and smaller throughput capacity versus Mombasa's scale was cited directly by Dangote as a deciding factor.
Manufacturing Share of GDP
Current vs the range required for Dira 2050's $1 trillion ambition
Installed Power Capacity (MW)
Current capacity vs the 2050 target
2.3 Private-Sector Crowding-Out
Government domestic borrowing continues to compete directly with private credit: treasury bills and bonds offer risk-free yields of 8-12%, discouraging commercial banks from lending to manufacturing and infrastructure SMEs. Private investment remains near 22% of GDP, short of the 30-35% TICGL estimates is required to sustain 8%+ growth. As of TICGL's most recent PPP tracking, no PPP project has yet reached financial close, even though a PPP policy framework exists on paper.
Private Investment as % of GDP: Actual vs Required
Tanzania's private investment share sits well below the 30-35% band needed to sustain 8%+ growth.
2.4 The FDI Registration-to-Disbursement Gap
Tanzania's highest-leverage, most actionable investment-climate constraint.
Tanzania's approved FDI pipeline has grown five-fold over a decade, from USD 2.1 billion (2015) to USD 10.95 billion (2025), yet the realisation rate — actual disbursed inflows divided by registered pledges — has fallen from roughly 73% in 2015 to an estimated 15% in 2025, the lowest point in an eleven-year series. The resulting annual disbursement gap has widened to approximately USD 9.3 billion.
Registered FDI Pipeline vs Actual Inflows (USD Billion)
The widening gap between what Tanzania approves and what actually gets disbursed, 2015-2025.
FDI Realisation Rate Trend
Share of registered/approved FDI pledges that convert into actual disbursed capital.
Indicator
Tanzania (2025)
Regional benchmark
Registered FDI pipeline
USD 10.95bn
Five-fold growth since 2015
Actual FDI inflows
~USD 1.66-1.72bn
Grew only ~8% in real terms since 2015
Realisation rate
~15%
Mature peer economies: 45-65%
Avg. investment approval time
~240 days
Rwanda: ~28 days; Kenya: ~90 days
World Bank B-READY score (2024)
52.1
Rwanda: 72.6; Kenya: 58.8; Ethiopia: 54.3
Six Structural Drivers of the Gap
Ranked by estimated share of the shortfall: land acquisition and title-deed issuance (≈28%, typically 18-24 months to complete); multi-agency regulatory approvals across an average of seven agencies (≈22%); foreign-exchange availability and repatriation uncertainty (≈18%); infrastructure gaps in power, roads and port connectivity (≈16%); scarcity of long-term local-currency project finance (≈10%); and residual investment-protection uncertainty (≈6%).
What Drives Tanzania's FDI Disbursement Gap?
Estimated share of the shortfall attributable to each structural driver.
TICGL note: a one percentage-point improvement in Tanzania's realisation rate on the current ~USD 11 billion registered base is estimated to be worth approximately USD 100-110 million in additional annual FDI inflows — meaning the conversion problem, not the attraction problem, is Tanzania's most actionable investment-climate lever.
2.5 Regional Benchmarking: Tanzania vs Kenya vs Rwanda vs Ethiopia
Kenya's absolute FDI stock is smaller than Tanzania's, but its realisation rate, approval speed and regulatory-quality score are all materially stronger.
Country
2024 Actual FDI (USD bn)
Est. realisation rate
Avg. approval time
B-READY score
Tanzania
1.72
~20%
~240 days
52.1
Kenya
0.70
~45%
~90 days
58.8
Ethiopia
3.90
~42%
~180 days
54.3
Rwanda
0.90
~68%
~28 days
72.6
Realisation Rate by Country
Share of registered FDI actually disbursed
Average Investment Approval Time
Days from application to approval
World Bank B-READY Score (2024)
Business Ready index — regulatory quality and ease of doing business benchmark.
Rwanda remains the regional gold standard, and TICGL continues to view it as the most directly transferable reform model for Tanzania given broadly similar economic structure and scale.
3. Reading the Dangote Decision Through the Gap Framework
The refinery decision was overdetermined: even absent the diplomatic misstep, Tanzania's land, permitting and private-capital constraints would have made Tanga a harder sell.
Dangote's stated reason
Underlying TICGL systemic gap
Mombasa's port is deeper and larger than Tanga
Infrastructure/industrialisation deficit — ports, power and logistics investment lagging Dira 2050 targets
Kenya has a bigger economy, higher fuel consumption
Smaller realised private-sector base; Tanzania's own private investment share of GDP (~22%) below the 30-35% needed for scale
Kenya offered public co-investment/de-risking via the National Infrastructure Fund
Tanzania's PPP framework exists on paper, but no project has yet reached financial close
Diplomatic friction over the Tanga announcement
Policy predictability and inter-governmental coordination — a governance-adjacent, not purely economic, factor
Feasibility/soil studies already advancing at Lamu
Tanzania's land-acquisition and title process (18-24 months) is the single largest driver (≈28%) of its FDI disbursement gap
TICGL's assessment is therefore that Tanzania should not treat the loss as a one-off political misunderstanding, but as confirmation of gaps already identified in its own research.
4. Policy Recommendations
What government and investors should each take away from the Dangote case.
For the Government of Tanzania
Fast-track the pre-titled industrial/SEZ land bank concept already under discussion at TISEZA, prioritising sites relevant to the Dangote power, fertiliser and port pipeline, to avoid replicating the 18-24 month land-acquisition delay that cost Tanzania the refinery.
Bring at least one Dangote-linked project (power plant, fertiliser complex, or port works) to genuine financial close within 12-18 months, as proof-of-concept for a functioning one-stop investment facilitation process.
Formalise a single-window, legally binding service-level approval process, replacing the current multi-agency sequence that accounts for an estimated 22% of Tanzania's FDI disbursement gap.
Broaden the tax base through informal-sector digitalisation and formalisation incentives rather than raising rates on existing formal taxpayers.
Pursue the offered equity stake in the Lamu refinery on commercially sound terms, to secure fuel-security benefits and stay embedded in East Africa's refined-products value chain.
For TICGL Clients and Investors
Treat land title and multi-agency permitting timelines as the primary bankability risk for large Tanzanian projects, and budget 18-24 months into feasibility schedules unless a pre-titled SEZ site is secured.
Where projects depend on foreign-exchange repatriation certainty, seek forward cover or structure financing to hedge against currently limited long-dated FX facilities.
Benchmark any Tanzania investment decision against Kenya and Rwanda on realisation rate and approval speed, not headline FDI totals alone.
Monitor the Dangote-Tanzania power, fertiliser, port and transport pipeline as a live test case: reaching financial close within 12-24 months would be a strong positive signal for Tanzania's investment climate trajectory.
5. Conclusion
Dangote's choice of Lamu over Tanga is, on the surface, a story about diplomacy and port depth. Beneath that surface, it is consistent with the systemic investment-climate gaps TICGL has documented across its Dira 2050 and FDI-disbursement research: a narrow tax base, an underweight manufacturing and power sector, a private sector still crowded out by government borrowing, and — most tellingly — a land-acquisition and permitting regime that takes many months longer to clear than regional peers.
Tanzania's fundamentals — natural resources, a large and youthful population, an EAC/SADC-bridging location, and continued reform momentum under President Samia Suluhu Hassan — remain genuinely strong, as evidenced by Dangote's parallel commitment to a multi-billion-dollar power, fertiliser, port and transport-corridor pipeline agreed just weeks after the refinery decision was finalised. Whether that pipeline becomes another entry in Tanzania's registration ledger or an actual disbursed, operating asset will depend on exactly the reforms — land banking, single-window approvals, FX certainty, and PPP financial close — that TICGL has been recommending across its research programme.
Muhtasari kwa Kiswahili
Uamuzi wa Dangote na Somo kwa Tanzania
1
Uamuzi: Kampuni ya Dangote imethibitisha kuwa kiwanda chake kikubwa cha kusafisha mafuta (mapipa 700,000 kwa siku, thamani ya Dola za Marekani bilioni 15-20) kitajengwa Lamu, Kenya, badala ya Tanga, Tanzania.
2
Chanzo cha uamuzi: Tatizo la kidiplomasia lilitokea baada ya Rais wa Kenya kutangaza Tanga kama eneo la mradi kabla ya Serikali ya Tanzania kuridhia rasmi, jambo lililomfanya Rais Samia Suluhu Hassan kulikanusha hadharani.
3
Sababu za kibiashara: Dangote alitaja kina kirefu cha bandari ya Mombasa, uchumi mkubwa wa Kenya, matumizi makubwa ya mafuta, na uwekezaji wa moja kwa moja wa Serikali ya Kenya kupitia Mfuko wake wa Miundombinu.
4
TICGL inaona zaidi: Nyuma ya sababu hizo, kuna mapengo ya kimfumo — msingi mdogo wa kodi (13.1% ya Pato la Taifa), sekta ya viwanda inayosalia karibu 8% tu ya uchumi, sekta binafsi inayozibwa na mikopo ya Serikali, na kiwango cha chini cha ubadilishaji wa ahadi za uwekezaji kuwa fedha halisi (karibu 15% mwaka 2025).
5
Fursa mpya: Tarehe 29 Juni 2026, Rais Samia alikutana na Aliko Dangote Ikulu na kupata ahadi ya mradi mbadala — kituo cha umeme cha megawati 2,000, kiwanda cha mbolea, uendelezaji wa bandari, barabara ya kilomita 40, na ukanda wa usafirishaji wa kilomita 812 kutoka Mtwara hadi Mbamba Bay — pamoja na fursa ya Tanzania kununua hisa katika kiwanda cha Lamu.
6
Mapendekezo ya TICGL: Serikali iharakishe upatikanaji wa ardhi na hati miliki, iunde mfumo wa kibali kimoja (single-window approval), na ihakikishe angalau mradi mmoja wa Dangote unafikia hatua ya fedha (financial close) ndani ya miezi 12-18 ijayo, ili kuonesha uwezekano wa Tanzania kuvutia na kutimiza uwekezaji mkubwa.
Related TICGL Research & Tools
This note sits within TICGL's broader Dira 2050 and FDI research programme. Explore the related analysis below.
Reuters/CNBC Africa, "Dangote to fund proposed Kenya refinery with cash, bonds and an IPO," 7 July 2026.
TICGL, "What's Next for Tanzania's Economy? The Policy Gaps Keeping $1 Trillion Out of Reach by 2050," June 2026.
TICGL, "Tanzania's FDI Registration-to-Disbursement Gap: Bridging the US$170 Billion Financing Chasm," April 2026.
The Citizen, "Getting to the bottom of the race for East Africa's $17 billion refinery," May 2026.
Business Daily Africa, "Kenya to buy stake in Dangote-fronted oil refinery," May 2026.
Tuko.co.ke, "Mombasa's Critical Role in Dangote's Mega Refinery Plan for East Africa," June 2026.
Kenyans.co.ke / Billionaires.Africa, "Dangote unveils power, fertiliser and port plans for Tanzania," 30 June 2026.
Nairobi Wire / Tribune Online, "Dangote's Kenya Refinery to Refine 700,000 Barrels Daily," 1-2 July 2026.
This research note is prepared by TICGL Research Division / Tanzania Economic Research Institute (TERI) for informational purposes and does not constitute investment advice.
Is Tanzania's Money Supply Growing Faster Than Its Economy? | TICGL
Is Tanzania's Money Supply Growing Faster Than Its Economy?
Tanzania's extended broad money supply (M3) has grown nearly four times faster than the real economy for two straight years. TICGL/TERI unpacks what is driving it, why it matters more than most headline economic indicators, and what it signals for inflation, credit and the Shilling through the rest of 2026.
📅 Published: July 2026🏦 Source: Bank of Tanzania, Monthly Economic Review, May 2026⏱ 12–14 min read
TZS 65.1tn
M3 money supply, April 2026
+22.0%
M3 growth, year-on-year
~6.0%
Real GDP growth, 2025
+23.6%
Private sector credit growth y/y
Why this matters
Tanzania's money supply is not just "growing" — it is growing at roughly four times the pace of the real economy. M3 expanded 24.7 percent in 2025 against real GDP growth of about 6.0 percent, and the gap is being driven almost entirely by domestic credit creation, not foreign currency inflows. That combination — fast credit-fuelled money growth outpacing real output — is the classic textbook precursor to inflationary pressure, and it is already visible in the data: headline inflation rose from 3.2 percent to 4.0 percent in a single month (April 2026).
1. What Is M3, and Why Should Anyone Outside a Bank Care?
A 60-second primer before the data
Extended broad money supply (M3) is the broadest official measure of "money" circulating in Tanzania's economy. It is built up in layers:
M1 — Narrow money
Cash in people's hands plus money sitting in current/cheque accounts — the most liquid, immediately spendable money. TZS 31.2 trillion in April 2026.
M2 — Broad money
M1 plus savings and time deposits in Shillings — money that's still yours, just slightly less instantly spendable. TZS 50.1 trillion.
M3 — Extended broad money
M2 plus foreign currency deposits held in Tanzanian banks. The full picture of money in the system. TZS 65.1 trillion.
Economists watch M3 growth because, over time, money supply, prices, output and the speed at which money changes hands are mathematically linked:
M × V = P × Y
Money Supply × Velocity = Price Level × Real Output
In plain terms: if the amount of money in an economy grows much faster than the amount of goods and services actually being produced (real GDP), and the speed at which money changes hands doesn't fall enough to offset it, the extra money has to show up somewhere — usually in higher prices (inflation) or a weaker currency. This is precisely the tension Tanzania's numbers now show.
2. The Numbers: How Fast Is Money Supply Actually Growing?
Source: Bank of Tanzania and banks, BOT Monthly Economic Review, May 2026, Table A3.
M3 has risen in every one of the last 13 months without a single monthly decline — from TZS 53.3 trillion in April 2025 to TZS 65.1 trillion in April 2026, an increase of nearly TZS 12 trillion in a single year. Growth has moderated slightly from its 2025 peak (23.2% in March 2026) to 22.0% in April, but it remains far above Tanzania's long-run average.
Chart 2 — Long-Term M3 Growth vs. Real GDP Growth (2018 – 2025)
Loading chart…
Source: Bank of Tanzania, Ministry of Finance and Planning, BOT Monthly Economic Review, May 2026, Table A1.
This chart is the single most important one in this article. From 2018 to 2024, M3 growth and GDP growth moved in a broadly reasonable relationship to each other — money supply grew faster than output, as is normal in a financially deepening economy, but not dramatically so. In 2025, that relationship broke: M3 growth more than doubled to 24.7 percent while real GDP growth edged up only modestly to around 6.0 percent.
3. What's Actually Driving the Growth
It's not foreign money flooding in — it's domestic credit creation
This is the most important, and most under-reported, detail in the entire money supply story. M3 growth can come from two very different sources, with very different implications:
Net Foreign Assets (NFA) — money entering the system via foreign currency inflows (exports, remittances, FDI, reserves). NFA actually fell 0.7 percent year-on-year to TZS 14.6 trillion in April 2026.
Net Domestic Assets (NDA) — money created domestically through bank lending to the private sector and government. NDA surged 30.7 percent year-on-year to TZS 50.5 trillion — the overwhelming driver of the entire M3 increase.
In other words: Tanzania's money supply boom is homegrown, generated almost entirely by the banking system extending credit faster than the economy is growing — not by dollars flowing in from abroad. That distinction matters because credit-driven money growth carries a more direct inflation and currency risk than reserve-backed money growth.
Chart 3 — Composition of M3 Growth: NFA vs. NDA
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Source: Bank of Tanzania, Table 2.2.1.
Table 1 — M3 and Its Main Components (TZS billions)
Component
Apr 2025
Apr 2026
Growth y/y
Net foreign assets
14,658.6
14,553.0
-0.7%
Net domestic assets
38,679.1
50,538.9
+30.7%
— of which: claims on private sector
38,755.8
47,919.3
+23.6%
Extended broad money (M3)
53,337.7
65,091.9
+22.0%
4. The Widening Money-vs-GDP Gap
Why a persistent gap of this size is the metric to watch
The gap in one line
In 2025, Tanzania's money supply grew roughly four times faster than its real economy (24.7% vs. ~6.0%). A one-off gap of this size can reflect healthy financial deepening — more people opening bank accounts, more businesses accessing formal credit for the first time. A persistent gap of this size, repeated for a second year running, is different: it means the banking system is creating purchasing power faster than the economy can produce goods and services to absorb it.
Tanzania has genuine grounds for the "financial deepening" explanation — private sector credit to GDP has climbed from just 14.3 percent in 2018 to 21.6 percent in 2025, still low by regional and global standards, meaning there is real room for credit to keep expanding as more of the economy is formally banked. But the rate of that expansion in the last 12–18 months has been unusually fast, and TICGL's view is that both explanations — genuine deepening and an overheating credit cycle — are probably true at the same time, in different parts of the economy.
Chart 4 — Private Sector Credit to GDP Ratio, Tanzania (2018–2025)
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Source: Bank of Tanzania, BOT Monthly Economic Review, May 2026, Table A1.
5. The First Warning Sign: Core Inflation Starts to Accelerate
Core inflation jumped from 2.2% to 3.1% in a single month (April 2026)
Textbook monetary theory does not predict inflation to arrive instantly or mechanically — it typically shows up with a lag, and Tanzania's April 2026 inflation figures should not be read as pure proof of a money-supply-driven price spiral (much of the April jump was explicitly attributed by the Bank of Tanzania to fuel price pass-through from the Middle East conflict). But the direction is consistent with what a persistently high M3-vs-GDP gap would predict: both headline inflation (4.0%, up from 3.2%) and, more tellingly, core inflation (3.1%, up from 2.2%) — which strips out volatile food and energy prices — rose sharply in the same month.
Core inflation is the more important of the two for this story, because it is less exposed to one-off external shocks like oil prices and more reflective of underlying domestic demand pressure — exactly the channel through which excess money supply growth would be expected to show up first.
Source: NBS & Bank of Tanzania computations, BOT Monthly Economic Review, May 2026.
TICGL read: One month of rising core inflation alongside high M3 growth is not proof of causation. But it is exactly the pattern that would justify the Monetary Policy Committee watching money supply and credit growth closely over the next two to three quarters, rather than treating April's inflation uptick as a one-off, purely fuel-driven event.
6. Impact on Credit & Financial Deepening: Not All Sectors Are Growing Equally
Trade, mining and transport are absorbing most of the new credit
The domestic credit expansion behind M3 growth is highly uneven across sectors. Private sector credit grew 23.6 percent year-on-year overall, but that average hides very different stories sector by sector:
Chart 6 — Annual Credit Growth by Economic Activity, April 2026
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Source: Banks & Bank of Tanzania, Table 2.2.2.
Trade credit grew fastest at 44.2 percent — much of this is working-capital financing for import-heavy, fast-turnover businesses, which tends to translate quickly into consumer prices if it isn't matched by proportional output growth. Manufacturing credit, by contrast, grew just 4.2 percent — meaning the credit boom is disproportionately financing trade and consumption-adjacent activity rather than the kind of productive capacity expansion (factories, processing plants) that would grow real GDP fast enough to close the money-vs-output gap discussed in Section 4.
7. Impact on the Exchange Rate
So far, the Shilling has absorbed the money growth without visible strain
A textbook concern with rapid domestic money creation is currency depreciation — more Shillings chasing the same pool of foreign currency should, all else equal, weaken the exchange rate. So far, that hasn't happened in a disorderly way: the Shilling actually appreciated 2.7 percent year-on-year against the US Dollar on the official interbank market in April 2026, helped by record gold export receipts and strong tourism inflows offsetting the domestic credit expansion (see TICGL's companion analysis, "Why TZS Still Ranks Among Africa's 'Weakest' Currencies in 2026", linked below).
This is an important nuance: fast M3 growth has not yet translated into currency weakness, precisely because export receipts (gold, tourism) have been strong enough to supply the foreign currency side of the equation even as domestic credit expanded rapidly. That balance is exactly what TICGL flags as the thing to watch — if gold prices or tourism receipts soften while domestic credit growth stays this high, the currency channel is where the pressure would most likely surface next.
8. The Fiscal Link: Government Domestic Borrowing
Overdraft utilisation is rising, a signal worth tracking
Part of domestic credit expansion also reflects government financing needs. Domestic debt reached TZS 39.3 trillion at the end of April 2026, up 2.3 percent from March — an increase the Bank of Tanzania attributed mainly to utilisation of the government's overdraft facility, which rose from 13.3 percent to 15.0 percent of the domestic debt stock in a single month. Government borrowing from the banking system is one of the channels through which net domestic assets — and therefore M3 — expand, alongside private sector lending.
TZS 39.3tn
Domestic debt stock, April 2026
15.0%
Share of domestic debt from overdraft, up from 13.3%
5.06%
Treasury bill weighted average yield, April 2026
5.75%
Central Bank Rate, held since Q1 2026
9. TICGL Risk Assessment
Rating the plausibility and severity of each transmission channel
Table 2 — Where Excess Money Growth Could Show Up Next
Channel
Current status
TICGL risk rating
Core inflation
Rose from 2.2% to 3.1% in one month (April 2026)
Watch closely
Headline inflation
4.0%, still within EAC/SADC target bands
Contained for now
Exchange rate (TZS/USD)
Appreciating 2.7% y/y, supported by gold & tourism
Trade credit growth of 44.2% vs. manufacturing at 4.2%
Watch closely
Government crowding-out via overdraft use
Overdraft share of domestic debt up from 13.3% to 15.0% in a month
Watch closely
Banking sector liquidity stress
Reverse repo demand fell to TZS 379.7bn from TZS 585.7bn (improving)
Low
10. TICGL Analytical Take
The money-vs-GDP gap is the single number to track. A widening gap between M3 growth (22-25%) and real GDP growth (~6%) sustained into 2027 would be a far more reliable early warning of future inflation than any single month's headline CPI print.
Financial deepening and overheating can — and probably do — coexist. Tanzania's private credit-to-GDP ratio (21.6%) is still low by international standards, meaning structural credit expansion is healthy and needed. But the pace of the last 18 months looks faster than the pace of genuine new-customer financial inclusion alone would explain.
Export receipts are currently masking the pressure. Gold and tourism inflows have let Tanzania run rapid domestic credit growth without currency strain so far. This is a favourable but not guaranteed condition — it depends on global gold prices and travel demand remaining strong.
Sectoral credit allocation matters as much as the aggregate number. Credit flowing disproportionately into trade rather than manufacturing or agro-processing raises the odds that new money shows up in consumer prices rather than in expanded productive capacity — a theme consistent with TICGL's broader research on Tanzania's industrialisation gap under FYDP IV.
11. Frequently Asked Questions
What is Tanzania's M3 money supply and how big is it?
M3 (extended broad money supply) is the broadest measure of money circulating in Tanzania's economy — currency plus all bank deposits, including foreign currency deposits. It reached TZS 65.1 trillion in April 2026, up 22.0 percent from a year earlier.
Why is Tanzania's M3 growing faster than GDP?
M3 grew 24.7 percent in 2025 versus real GDP growth of about 6.0 percent — a gap driven almost entirely by rapid domestic credit expansion (net domestic assets up 30.7 percent y/y) rather than foreign currency inflows (net foreign assets fell 0.7 percent).
Does fast M3 growth cause inflation in Tanzania?
It's a contributing risk factor rather than an automatic cause. Headline inflation rose to 4.0 percent in April 2026 (from 3.2 percent) and core inflation rose to 3.1 percent (from 2.2 percent) — both still within target bands, but the direction is consistent with what a persistent money-vs-GDP gap would predict.
What is driving Tanzania's rapid credit and money supply growth?
Private sector credit grew 23.6 percent year-on-year, led by trade (44.2%), mining and quarrying (39.7%), and transport and communication (39.7%). Private credit to GDP has risen from 14.3 percent in 2018 to 21.6 percent in 2025.
TERI
Tanzania Economic Research Institute (TERI) — a TICGL research initiative
Analysis prepared using data from the Bank of Tanzania Monthly Economic Review, May 2026, and Ministry of Finance and Planning.
Primary data source: Bank of Tanzania, Monthly Economic Review — May 2026 (ISSN 0856-6844), Tables 2.2.1, 2.2.2, A1 and A3. Figures are provisional (p) where noted in original BOT tables and subject to revision in subsequent BOT publications.
12. Muhtasari kwa Kiswahili
Fedha zinazozunguka nchini Tanzania (M3) ziliongezeka kwa asilimia 22 mwaka hadi mwaka, kufikia TZS trilioni 65.1 mwezi Aprili 2026 — sawa na karibu mara nne ya kasi ya ukuaji halisi wa uchumi (GDP) uliokadiriwa kufikia asilimia 6 pekee mwaka 2025. Ongezeko hili halitokani na fedha za kigeni zinazoingia nchini (mali za nje halisi (NFA) zilipungua kwa asilimia 0.7), bali linatokana kabisa na mikopo mikubwa ya ndani — hasa kwa sekta ya biashara (asilimia 44.2), uchimbaji madini na usafirishaji — wakati mikopo kwa sekta ya viwanda ikibaki chini sana (asilimia 4.2 tu).
Kutokana na nadharia ya kiuchumi ya fedha, endapo kiasi cha fedha kinachozunguka kinakua kwa kasi zaidi ya uzalishaji halisi wa bidhaa na huduma, matokeo yake huwa ni mfumuko wa bei (inflation) au udhaifu wa sarafu. Dalili za awali tayari zinaonekana: mfumuko wa bei wa msingi (core inflation) uliongezeka kutoka asilimia 2.2 hadi 3.1 kwa mwezi mmoja tu (Aprili 2026), ingawa bado uko ndani ya lengo la taifa.
Kwa sasa, Shilingi ya Tanzania imeendelea kuwa imara — hata ikiimarika kwa asilimia 2.7 dhidi ya Dola — kwa sababu mauzo ya dhahabu na utalii yamesaidia kuziba pengo hili. Hata hivyo, TICGL inashauri kufuatilia kwa karibu uwiano kati ya ukuaji wa fedha (M3) na ukuaji halisi wa uchumi (GDP), kwani endapo bei za dhahabu duniani au mapato ya utalii yatapungua huku mikopo ya ndani ikiendelea kukua kwa kasi hii, hapo ndipo hatari halisi ya mfumuko wa bei na udhaifu wa sarafu ingeweza kujitokeza.
Why TZS Still Ranks Among Africa's "Weakest" Currencies in 2026 — And What That Ranking Actually Means
As at June 2026, the Tanzanian Shilling trades at roughly TZS 2,600–2,635 per US Dollar, placing it 7th on the list of Africa's nominally weakest currencies. TICGL/TERI unpacks why — and shows why Bank of Tanzania's own data tells a much steadier story than the headline ranking suggests.
📅 Published: June 2026🏦 Sources: Bank of Tanzania (May 2026); Business Insider Africa / Tuko.co.ke; Trading Economics; Wise.com⏱ 13–15 min read
#7
TZS's rank among Africa's weakest currencies, June 2026
TZS 2,612
Official BOT interbank rate per USD, April 2026
+2.7%
Official y/y appreciation vs. USD, April 2026
4.4 mo.
Import cover from FX reserves
Short answer
The Tanzanian Shilling ranks among Africa's "weakest" currencies purely on a nominal, units-per-US-Dollar basis — a function of currency history and the size of Tanzania's money stock, not a sign of an unstable or crashing currency. On the metrics that actually matter for stability — the year-on-year rate of change, reserve cover, and the presence of a parallel-market premium — the Shilling has been one of the steadier currencies in East Africa through April 2026, appreciating 2.7 percent against the US Dollar on Bank of Tanzania's official interbank data. The real currency risk to watch is Tanzania's widening current account deficit and its exposure to global oil prices — not the nominal exchange-rate ranking itself.
1. The Ranking: Africa's Weakest Currencies, June 2026
Where TZS sits, and who ranks weaker
Multiple currency trackers publishing "weakest African currencies" surveys in June 2026 — compiled using Forbes calculator data by Business Insider Africa and Tuko.co.ke — place the Tanzanian Shilling 7th weakest on the continent, requiring roughly 2,600–2,635 units per US Dollar. Six African currencies now require more than 2,000 units per dollar, led by São Tomé & Príncipe's dobra and Sierra Leone's leone.
Table 1 — Africa's 10 "Weakest" Currencies by Units per US Dollar, June 2026
Rank
Country
Currency
Units per USD
1
São Tomé & Príncipe
Dobra (STD)
≈ 22,282
2
Sierra Leone
Leone (SLL)
≈ 20,970
3
Guinea
Guinean Franc (GNF)
≈ 8,764
4
Madagascar
Malagasy Ariary (MGA)
≈ 4,176
5
Uganda
Ugandan Shilling (UGX)
≈ 3,651
6
Burundi
Burundian Franc (BIF)
≈ 2,983
7
Tanzania
Tanzanian Shilling (TZS)
≈ 2,600 – 2,635
8
D.R. Congo
Congolese Franc (CDF)
≈ 2,308
9
Malawi
Malawian Kwacha (MWK)
≈ 1,734
10
Rwanda
Rwandan Franc (RWF)
≈ 1,465
Sources: Forbes currency calculator data compiled by Business Insider Africa and Tuko.co.ke (June 2026); Trading Economics; Wise.com; Exchange-Rates.org. Nominal per-USD figures vary slightly by source and by day; TICGL uses a representative mid-June 2026 range.
Chart 1 — Africa's Weakest Currencies vs. TZS: Units per US Dollar, June 2026
Loading chart…
Note: São Tomé, Sierra Leone and Guinea are truncated on this chart for readability (values in the tens of thousands). See Table 1 for full figures.
Why this ranking gets attention: Headlines built on this list travel fast because "weakest currency" sounds alarming. But nominal exchange-rate level is a poor proxy for currency health — Japan's yen trades above 140/USD and South Korea's won above 1,300/USD, and neither is considered "weak" in the crisis sense. What actually matters is covered in Sections 2–6 below.
2. What Bank of Tanzania's Official Data Actually Shows
The IFEM rate: stable, and appreciating year-on-year
On the Interbank Foreign Exchange Market (IFEM) that the Bank of Tanzania tracks and publishes monthly, the Shilling averaged TZS 2,612.46 per US Dollar in April 2026, compared with TZS 2,684.41 per USD in April 2025 — an annual appreciation of 2.7 percent. That is an improvement on the 2.5 percent appreciation recorded in March 2026, and a sharp turnaround from the 3.9 percent depreciation recorded in the same month a year earlier (April 2025). This is the opposite direction of travel implied by a "weakest currencies" headline.
Chart 2 — Official TZS/USD Exchange Rate, End of Period (Apr 2025 – Apr 2026)
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Source: Bank of Tanzania / Ministry of Finance, BOT Monthly Economic Review, May 2026, Table A10 (national debt end-of-period exchange rate).
Behind this stability: gold export receipts rose to USD 5,268.9 million (year ending April 2026) from USD 3,821.2 million a year earlier — a 38 percent jump that materially eased dollar demand pressure — while tourism receipts grew 9.5 percent to USD 4,385.3 million on a 21.7 percent rise in international arrivals. The Bank's own intervention was light: it sold just USD 15.3 million on the IFEM in April 2026 "to maintain orderly market conditions" — not the scale of intervention associated with a currency under real stress.
3. Reconciling Two Different Stories
Why official and market-tracker numbers diverge
Cross-checking independent trackers as at late June 2026: Trading Economics quoted USD/TZS around 2,625 on 3 June 2026 (Shilling down 1.16% over the prior month, but still up 1.87% over the trailing 12 months — consistent with BOT's appreciation story); Wise.com recorded a June 2026 weekly range of TZS 2,596–2,634 per USD with a six-month average of TZS 2,571; and Exchange-Rates.org noted the Shilling had eased about 6.1 percent year-to-date against the Dollar by 20 June 2026 on the specific rate series it tracks.
The gap between these figures is real and worth understanding rather than dismissing. Tanzania runs a managed, not fully liberalised, exchange rate. That means:
BOT's figure is a monthly average of the interbank rate, smoothing out day-to-day spikes that trackers like Wise or Trading Economics quote in real time.
Different reference dates. BOT's most recent published figure is for April 2026; independent trackers quote rates through late June 2026 — two months of additional currency movement not yet captured in BOT's own release cycle.
Retail/parallel spread. Rates used by international remittance and travel platforms often reflect a small retail markup over the pure interbank mid-rate BOT publishes.
Table 2 — TZS/USD: Comparing Sources, 2026
Source
Period
Rate (TZS/USD)
Bank of Tanzania (IFEM avg.)
April 2026
2,612.46
Bank of Tanzania (end of period)
April 2026
2,602.00
Trading Economics
3 Jun 2026
2,625.00
Wise.com (weekly high)
23 Jun 2026
2,634.05
Wise.com (weekly low)
25 Jun 2026
2,596.00
Wise.com (6-month avg.)
Jan–Jun 2026
2,571.25
Exchange-Rates.org
20 Jun 2026
2,630.99
Forbes Advisor / Xe
25 Jun 2026
2,617.80
TICGL read: None of these figures point to a currency in freefall. The spread across sources (roughly TZS 2,570–2,635) is a normal band for a managed float, not evidence of a parallel-market crisis of the kind seen in some of the currencies ranked weaker than TZS on Table 1.
4. Five Reasons TZS Ranks "Weak" in Nominal Terms
None of these, on their own, signal instability
01
No currency redenomination
Unlike Ghana (2007) or Zimbabwe, Tanzania has never redenominated the Shilling by dropping zeros. Decades of cumulative — even if moderate — inflation since the 1970s compound into a nominally large units-per-dollar figure today, independent of current-year stability.
02
Larger economy, larger money stock
Extended broad money (M3) reached TZS 65.1 trillion in April 2026, up 22 percent year-on-year. A bigger, faster-growing economy naturally circulates more local-currency units, which mechanically raises the units-per-dollar figure over time even without depreciation.
03
Nominal ranking ignores the growth rate
"Weakest currency" lists rank the level of the exchange rate, not its trend. Uganda, Burundi and several currencies ranked "less weak" than TZS by level have depreciated far faster in percentage terms over the past year than the Shilling has.
04
Import-dependent economy
Refined petroleum products make up about 14.4 percent of goods imports. As a net commodity importer, Tanzania's dollar demand is structurally higher than gold- and tourism-export receipts alone would otherwise imply — a genuine, if moderate, source of currency pressure.
05
Regional company, not global outlier
TZS sits in a cluster of East/Central African currencies (Uganda, Burundi, DR Congo, Rwanda, Malawi) that all require 1,000+ units per dollar for similar structural reasons. This is a regional pattern, not a Tanzania-specific weakness signal.
✓
What would actually be alarming
A widening gap between the official and black-market rate, rapidly falling reserves, or double-digit annual depreciation — none of which currently apply to TZS based on the data in this review.
5. TZS vs. Regional Peer Currencies
A closer look at East & Central African currencies
Chart 3 — TZS vs. Selected East & Central African Currencies: Units per USD, June 2026
Loading chart…
Source: Business Insider Africa / Tuko.co.ke (Forbes calculator), June 2026.
Within its immediate regional cluster, TZS sits between Rwanda/Malawi/DR Congo (nominally "stronger" by level) and Uganda/Burundi/Madagascar (nominally "weaker"). What distinguishes Tanzania is the combination of a diversified export base (gold, tourism, agriculture, manufactured goods) and a managed float backed by adequate reserves — a combination several of its lower-ranked regional peers lack.
6. The Real Risk to Watch: The Current Account & Global Oil Prices
Not the ranking — the trajectory
Tanzania's current account deficit widened to USD 2,651.8 million in the year ending April 2026, from USD 2,107.1 million a year earlier — a 25.6 percent deterioration — as import growth (15.5%) outpaced export growth (13.5%). This is financed comfortably today by gold and tourism inflows, but it is the genuine leading indicator for currency pressure, not the nominal exchange-rate ranking.
The transmission channel is direct: global crude oil prices jumped from USD 95.58/barrel in March 2026 to a monthly average of USD 103.91/barrel in April 2026 (intraday high USD 117.80), driven by Middle East tensions. Since refined petroleum makes up roughly 14.4 percent of Tanzania's goods imports, a sustained oil-price shock raises dollar demand mechanically — the more credible path to future TZS depreciation than the current nominal ranking implies.
The offsetting cushion
Gross official reserves stood at USD 5,722.5 million in April 2026 (up from USD 5,307.7 million a year earlier), covering 4.4 months of projected imports — within national and EAC benchmarks. Combined with record gold exports, this gives Bank of Tanzania meaningful room to defend orderly market conditions even if oil prices stay elevated through the rest of 2026.
Chart 4 — Current Account Balance & Foreign Exchange Reserves (Year Ending April, 2021–2026)
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Source: Bank of Tanzania, Tables A5 & A10, BOT Monthly Economic Review, May 2026.
Currency stability doesn't happen in isolation — it reflects the wider monetary and price environment. Three data points from the May 2026 BOT review matter most for the TZS story:
4.0% ▲
Headline inflation, April 2026 (from 3.2% in March)
Source: National Bureau of Statistics & Bank of Tanzania computations, BOT Monthly Economic Review, May 2026.
Why this matters for the Shilling
At its April 2026 meeting, the Monetary Policy Committee held the CBR at 5.75 percent and narrowed the policy corridor from 200 to 150 basis points to sharpen transmission — a stance consistent with defending currency stability without over-tightening credit. Inflation at 4.0 percent remains inside EAC/SADC convergence bands, meaning Tanzania is not fighting the kind of runaway domestic inflation that typically forces rapid currency depreciation elsewhere on the "weakest currencies" list (e.g., Sierra Leone, Guinea). Meanwhile, credit growth of 23.6 percent — led by trade (44.2%), mining (39.7%) and transport (39.7%) — signals an economy still expanding fast enough to keep attracting the dollar inflows that support the currency.
Chart 6 — 7-Day IBCM Rate vs. the CBR Corridor (May 2024 – April 2026)
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Source: Bank of Tanzania, BOT Monthly Economic Review, May 2026, Chart 2.2.1.
8. Budget, Debt & External Reserves Snapshot
The fiscal and external-debt picture underpinning currency confidence
Central government revenue continues to outperform target — TZS 3,836.8 billion collected in March 2026, 8.5 percent above target — while the national debt stock reached USD 51,067.2 million at end-April 2026, of which 70.4 percent was external debt, still dominated by concessional multilateral creditors (58.3 percent of the external stock). A well-managed debt profile and a revenue base that consistently beats target both support investor and creditor confidence in the currency's medium-term stability.
Chart 7 — External Debt Stock by Creditor Category, April 2026
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Source: Ministry of Finance & Bank of Tanzania, Table 2.6.2.
Chart 8 — Foreign Exchange Reserves vs. Months of Import Cover
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Source: Bank of Tanzania, Chart 2.7.1.
Table 3 — Key External Sector Indicators, Year Ending April 2026
Indicator
2025
2026 (provisional)
Change
Total exports (goods & services)
USD 16,625.0m
USD 18,876.7m
+13.5%
Total imports (goods & services)
USD 17,270.5m
USD 19,944.6m
+15.5%
Current account balance
-USD 2,107.1m
-USD 2,651.8m
Widened 25.6%
Gross official reserves
USD 5,307.7m
USD 5,722.5m
+7.8%
Gold exports
USD 3,821.2m
USD 5,268.9m
+37.9%
External debt stock
USD 33,764.5m
USD 35,949.6m
+6.5%
9. TICGL Analytical Take
Reading the "weakest currency" narrative correctly
Separate the level from the trend. Investors, importers and policymakers should track the direction of the IFEM rate and reserve cover month to month — not headline rankings built purely on nominal exchange-rate level, which say little about near-term risk.
Watch the current account, not the currency table. A 25.6 percent widening of the current account deficit in a single year is the metric most likely to translate into real TZS pressure if it persists — particularly if global oil prices stay elevated on Middle East tensions.
Gold and tourism are doing the heavy lifting. Both sectors are cyclical and exposed to global demand and price swings. A structurally sound export base still needs diversification beyond these two pillars to keep underwriting currency stability through future shocks — a theme consistent with TICGL's broader research on Tanzania's industrialisation gap.
Reserve adequacy remains the key buffer. At 4.4 months of import cover, Tanzania has room to absorb short-term shocks without disorderly currency moves, but this buffer would erode if the current account deficit trend continues unaddressed.
10. Frequently Asked Questions
Why does the Tanzanian Shilling rank among Africa's weakest currencies?
As of June 2026, TZS trades at roughly TZS 2,600–2,635 per US Dollar, ranking 7th weakest in Africa on a nominal units-per-dollar basis, behind São Tomé, Sierra Leone, Guinea, Madagascar, Uganda and Burundi. This reflects currency history (no redenomination) and the size of Tanzania's money stock — not an indicator of acute currency crisis.
Is the Tanzanian Shilling actually losing value?
Not on Bank of Tanzania's own official interbank (IFEM) data: TZS averaged 2,612.46 per USD in April 2026, up 2.7 percent year-on-year. Independent trackers quote day-specific rates in the 2,600–2,635 range through June 2026 and describe modest year-to-date softening — a gap explained by averaging methods, reference dates and retail spreads, not a currency collapse.
What is the difference between a "weak" currency and a "depreciating" currency?
A currency's nominal exchange rate level reflects history and structure; a depreciating currency is one losing value over time. TZS requires many units per dollar (nominal characteristic) but has been broadly stable to appreciating year-on-year on official data — unlike several African currencies experiencing double-digit annual depreciation.
What could cause the Tanzanian Shilling to weaken further?
The most plausible risk is Tanzania's widening current account deficit (USD 2,651.8 million, year ending April 2026), driven by import growth outpacing exports. A sustained rise in global oil prices linked to Middle East tensions would raise the fuel import bill and could pressure the Shilling, even as gold and tourism receipts currently offset this.
How does Tanzania defend the Shilling's exchange rate?
Through light IFEM interventions (USD 15.3 million sold in April 2026) backed by gross official reserves of USD 5,722.5 million, covering about 4.4 months of projected imports — in line with national and EAC benchmarks.
TERI
Tanzania Economic Research Institute (TERI) — a TICGL research initiative
Analysis prepared using data from the Bank of Tanzania Monthly Economic Review, May 2026; Ministry of Finance and Planning; National Bureau of Statistics; Tanzania Revenue Authority; and independent currency-market trackers (Trading Economics, Wise.com, Exchange-Rates.org, Forbes Advisor, Business Insider Africa / Tuko.co.ke).
Primary data source: Bank of Tanzania, Monthly Economic Review — May 2026 (ISSN 0856-6844). Supplementary sources: Business Insider Africa / Tuko.co.ke, "Top 10 African Countries With Weakest Currencies as of June 2026"; Trading Economics, Tanzania Shilling currency data; Wise.com and Exchange-Rates.org historical USD/TZS rates; Forbes Advisor currency converter. Figures are provisional (p) where noted in original BOT tables and subject to revision in subsequent BOT publications.
11. Muhtasari kwa Kiswahili: Kwa Nini TZS Inaonekana "Dhaifu" Barani Afrika?
Ukweli kwa ufupi
Shilingi ya Tanzania (TZS) imeorodheshwa nafasi ya 7 miongoni mwa sarafu "dhaifu" zaidi Afrika mwezi Juni 2026, ikihitaji takribani shilingi 2,600–2,635 kununua dola moja ya Marekani. Hata hivyo, hii ni kipimo cha kiwango cha ubadilishaji fedha, si kipimo cha uthabiti wa sarafu. Kwa mujibu wa takwimu rasmi za Benki Kuu ya Tanzania (BOT), Shilingi iliimarika kwa asilimia 2.7 dhidi ya dola mwaka hadi mwaka, ikifikia wastani wa TZS 2,612.46 kwa dola mwezi Aprili 2026.
Kwa nini basi TZS inaonekana "dhaifu"?
Sababu kuu tano: (1) Tanzania haijawahi kupunguza sufuri kwenye sarafu yake (redenomination) tofauti na nchi kama Ghana; (2) uchumi mkubwa zaidi na ongezeko la fedha zinazozunguka (M3 iliongezeka kwa asilimia 22 mwaka hadi mwaka); (3) orodha za "sarafu dhaifu" huangalia kiwango tu, si kasi ya mabadiliko; (4) Tanzania inaagiza bidhaa nyingi kutoka nje, hasa mafuta (asilimia 14.4 ya bidhaa zote zinazoagizwa); na (5) TZS ipo katika kundi la sarafu za Afrika Mashariki na ya Kati (Uganda, Burundi, DR Congo, Rwanda) zenye mfumo unaofanana.
Hatari halisi ya kufuatilia
Jambo la kufuatilia si nafasi ya TZS kwenye orodha, bali nakisi ya urari wa biashara wa nje (current account deficit) ambayo iliongezeka hadi Dola milioni 2,651.8 mwaka hadi Aprili 2026, kutoka Dola milioni 2,107.1 mwaka uliopita — ikichangiwa na ongezeko la uagizaji bidhaa (15.5%) kuzidi ukuaji wa mauzo nje (13.5%). Endapo bei za mafuta duniani zitaendelea kupanda kutokana na mzozo wa Mashariki ya Kati, hii ndiyo njia halisi inayoweza kusababisha shinikizo kwa Shilingi — si nafasi yake kwenye orodha ya sarafu dhaifu.
Kinga zilizopo
Akiba ya fedha za kigeni ilifikia Dola milioni 5,722.5 (Aprili 2026), inayotosheleza kugharamia miezi 4.4 ya uagizaji bidhaa — sawa na viwango vya lengo la taifa na Jumuiya ya Afrika Mashariki (EAC). Mauzo ya dhahabu nje yaliongezeka kwa asilimia 37.9 mwaka hadi mwaka, jambo lililopunguza kwa kiasi kikubwa uhitaji wa dola.
Hitimisho la TICGL
Kuorodheshwa kwa TZS kama "sarafu dhaifu" ni suala la kiwango cha kihesabu, si dalili ya mgogoro wa kiuchumi. Wawekezaji na wafanyabiashara wanapaswa kufuatilia mwenendo wa kiwango cha ubadilishaji fedha (IFEM), akiba ya fedha za kigeni, na hali ya urari wa biashara wa nje — vipimo ambavyo bado vinaonesha uthabiti kwa Tanzania.
What's Next for Tanzania's Economy? The Policy Gaps Delaying the $1 Trillion Vision | TICGL
🔬 TICGL Policy Research | Dira 2050 Analysis | June 2026
What's Next for Tanzania's Economy? The Policy Gaps Keeping $1 Trillion Out of Reach by 2050
Tanzania's Dira 2050 sets an inspiring $1 trillion GDP target by 2050. But critical economic policy gaps — in taxation, private sector development, industrialisation, and fiscal management — mean the realistic timeline is closer to 2058–2062. This is the full TICGL assessment.
$91.8B
Tanzania GDP 2025
$1T
Dira 2050 Target
5.9%
Current Real Growth
10.2%
Growth Rate Needed by 2050
2058–62
TICGL Central Estimate
70M
Population Today
📅 Published: June 30, 2026🏛️ TICGL Economic Research📄 Source: Dira 2050 (June 2025) & Budget Speech FY2026/27🇹🇿 Tanzania Economy
Tanzania in Numbers — Where We Stand, Where We Must Go
A snapshot of Tanzania's economic reality in 2026, the ambition of Dira 2050, and the hard arithmetic sitting between them. Every figure here points to a specific policy gap examined in detail below.
$91.8B
GDP 2025 (Nominal)
TZS 234.1 Trillion
Need 10.9× growth to reach $1T
5.9%
Real GDP Growth 2025
FY2026/27 target: 6.3%
4.3pp below required pace
13.1%
Tax-to-GDP Ratio
SSA average: 16%
6.1pp below middle-income norm
$1,277
GNI Per Capita (2023)
Target: $7,000 by 2050
18.2% of target achieved
8.1%
Manufacturing Share of GDP
Target for industrialisation: 25%+
17pp industrialisation gap
45–55%
Informal Economy Share
Large share of workers untaxed
Largest single policy gap
TZS 62.33T
FY2026/27 Budget
+10.3% vs prior year
74.2% self-financed
31.4%
Wage Bill Increase (2026/27)
TZS 10.13 trillion total
Crowding out development spend
~130M
Population by 2050 (est.)
Currently 70M; growing 2.9%/yr
$7,692 per capita if $1T reached
4,522 MW
Power Generation Capacity
Target: 15,000 MW by 2050
30% of target — energy gap real
3.4%
Avg Inflation (Jul–Apr 2026)
Within 3–5% target band ✓
Macro stability maintained
TZS 114T
Total Government Debt (Mar 2026)
39.6% of GDP
Rising faster than GDP growth
📊 TICGL Verdict: The $1 Trillion Milestone Is a 2058–2062 Story, Not 2050
At Tanzania's current real GDP growth rate of 5.9%, the $1 trillion milestone arrives around 2065. Closing the gap to 2050 requires a growth rate of 10.2% nominal per year — nearly double the current pace. This is not a failure of vision; it is a gap in execution. Five structural policy gaps — detailed below — are the primary reasons Tanzania is on a 2058–2062 trajectory rather than a 2050 one. Closing even three of these gaps could advance the timeline by a decade.
2065
At current 5.9% pace
2058–62
TICGL Central Estimate
2054–56
If 8% sustained reform
2050
Dira target (needs 10.2%)
The 5 Critical Economic Policy Gaps
These are the structural deficits — documented, measurable, and currently unresolved — that explain why Tanzania's growth rate is running at 5.9% instead of the 10.2% required to hit $1 trillion by 2050. Each gap has a name, a number, and a policy prescription.
💸
Gap 1: Narrow Tax Base — Government Taxing Depth, Not Breadth
CRITICAL
Tanzania's tax-to-GDP ratio of 13.1% is among the lowest in Sub-Saharan Africa and far below the 17–20% range associated with sustainable middle-income investment. Worse, the FY2026/27 budget's revenue measures overwhelmingly fall on existing formal-sector taxpayers — motorcycles, petroleum, EAC tariffs — rather than pulling the informal 45–55% into the tax net.
Current Tax/GDP13.1%
SSA Average16%
Middle-Income Norm18–20%
FY2026/27 Target13.7%
What must change:
Mandatory digital payment enforcement to formalise the informal economy
Property tax reform and LGA own-source revenue systems
Presumptive tax expansion for small traders with simplified compliance
MKUMBI reforms must go beyond fee cuts to full regulatory simplification
🏭
Gap 2: Industrialisation Deficit — Manufacturing Cannot Drive Growth at 8.1% of GDP
CRITICAL
Every $1 trillion economy in history was built on a strong manufacturing base. Tanzania's manufacturing sector contributes only 8.1% of GDP — a figure that has barely moved in a decade. Structural transformation from agriculture-dependent growth to industry-driven growth is the single biggest determinant of whether Tanzania hits $1T in 2050 or 2065.
Manufacturing / GDP (2025)8.1%
Required for $1T economy22–28%
Manufacturing growth rate8.0% p.a.
Power availability (gap)4,522 / 15,000 MW
What must change:
SEZs and industrial parks with reliable power, logistics, and fast customs
Julius Nyerere HPP (2,115 MW) must be complemented by solar and gas capacity
Value-addition mandates for mineral exports (lithium, graphite, gold)
Aggressive import substitution in edible oils, textiles, pharmaceuticals
🏦
Gap 3: Private Sector Crowding-Out — Government Borrows Where Business Should Invest
HIGH
Tanzania's government domestic borrowing competes directly with private sector credit. Treasury bills and bonds yield risk-free returns of 8–12%, making commercial lending to SMEs economically unattractive for banks. The result: private investment remains below 22% of GDP — far short of the 30–35% needed to sustain 8%+ growth. PPP projects exist on paper but almost none have reached financial close.
Private Investment / GDP~22%
Required for transformation30–35%
PPP projects at fin. close~0 (2025)
SME access to credit (est.)Limited
What must change:
First bankable PPP projects must reach financial close — not just signing ceremonies
Domestic debt maturity extension to reduce roll-over pressure on short-term rates
Credit guarantee schemes for manufacturing and agri-processing SMEs
DSE capital market deepening — listed instruments beyond government bonds
👔
Gap 4: Informal Economy — 45–55% of Output Is Outside the Formal System
CRITICAL
Between 45–55% of Tanzania's economic activity occurs in the informal sector — outside formal registration, taxation, regulation, and social protection. This is not merely a revenue problem. It means most Tanzanian workers cannot access formal credit, pension coverage, or health insurance, and most Tanzanian businesses cannot scale because they cannot access capital markets. Informality is the deepest structural barrier to the $1 trillion economy.
Informal economy share45–55%
Formal employment rate~20%
Dira 2050 formal emp. target50% by 2050
Digital payment adoptionGrowing (TWIGA mandate)
What must change:
Digital payment mandate enforcement across transport, hospitality, trade
Single business registration reducing multi-step licensing barriers
Formalisation incentives: tax holidays for first 3 years of formal registration
Mobile-first NHIF & NSSF enrolment for informal workers
📉
Gap 5: Fiscal Composition — Rising Wage Bill Is Eating Development Expenditure
HIGH
The FY2026/27 wage bill of TZS 10.13 trillion (+31.4% YoY) is now the fastest-growing line in the budget. As recurrent expenditure expands, development/capital expenditure — the investment that builds the infrastructure Tanzania needs for sustained 8–10% growth — is being crowded out. A government that spends 16.3% of its budget on salaries but only 3.7% on capital investment cannot build a $1 trillion economy.
Wage bill 2026/27TZS 10.13T (+31.4%)
Development expenditureTZS 2.33T (–1.9%)
Interest paymentsTZS 6.86T
Wage + interest share of budget~27.5%
What must change:
Wage bill growth must be capped at GDP growth rate — not 5× GDP growth rate
Development expenditure must be ring-fenced at minimum 20% of total budget
PPP and blended finance must replace direct government capital spending
External debt concessional terms must be preserved to reduce interest bill
🎓
Gap 6: Human Capital Mismatch — Skills Not Aligned with the Economy Tanzania Needs
HIGH
Tanzania's Human Capital Index score of 0.39 means a child born today will reach only 39% of their productive potential as an adult. The education system produces graduates strong in theoretical knowledge but weak in the applied STEM, digital, and technical skills that manufacturing, digital economy, and green technology sectors require. 43% of Tanzania's population is under 15 — this demographic window is also a demographic risk if skills development stalls.
Human Capital Index score0.39 (SSA avg: 0.40)
Secondary completion rate~30% (Form IV)
STEM graduates / yearInsufficient for industry
Digital literacy (2025 est.)~35% (target: 70%)
What must change:
VETA expansion and mandatory technical/vocational pathway alongside academic
University-industry partnership mandates for applied research
STEM enrollment parity for girls — closing the gender gap in technical fields
Digital skills curriculum from primary school level upward
🔴 The Combined Effect: Why These Gaps Add Up to a 10-Year Delay
Each policy gap individually costs Tanzania approximately 0.5–1.5 percentage points of potential GDP growth per year. Together, the six gaps identified above account for the difference between Tanzania's actual 5.9% growth trajectory and the 8–10% trajectory needed to hit $1 trillion by 2050–2056. Closing all six simultaneously — through sustained political will across multiple election cycles — would close the decade gap. Closing three or four would still advance the timeline from 2062 to roughly 2055–2057. The FY2026/27 Budget takes meaningful steps on digitisation and the business environment, but leaves the wage bill, formal employment rate, and manufacturing investment largely unaddressed.
The Growth Arithmetic: When Does $1 Trillion Actually Arrive?
Five growth scenarios projected to 2065. The vertical red line marks the Dira 2050 deadline. The key question: which scenario Tanzania's policy reforms can credibly sustain.
Tanzania GDP Trajectory 2025–2065 — Five Policy Scenarios
Nominal GDP (USD Billions). Closing the policy gaps above shifts Tanzania from the red line (5.9%) toward the blue line (10.2%). TICGL central estimate: the gold zone (7–7.5%), reaching $1T around 2058–2062.
Scenario
Avg Real Growth
GDP 2030
GDP 2040
GDP 2050
Year $1T Reached
Policy Gaps Closed
Status
Current Trend
5.9%
$122B
$215B
$380B
~2065
None / minimal
15 yrs late
FYDP IV Target
7.0%
$129B
$253B
$497B
~2060
1–2 gaps partially
~10 yrs late
TICGL Central Estimate
7.5%
$132B
$272B
$561B
~2058–2062
2–3 gaps partially
8–12 yrs late
Reform Acceleration
8.0%
$135B
$292B
$631B
~2054–2056
3–4 gaps closed
4–6 yrs late
East Africa Frontier
9.0%
$141B
$335B
$793B
~2052
4–5 gaps closed
~2 yrs late
Dira 2050 Required
10.2%
$149B
$391B
$1,000B
2050
All 6 gaps closed
On Target
Historical Real GDP Growth Rate (2015–2026)
Tanzania has never sustained above 7.2% — the 10.2% required by Dira 2050 is historically unprecedented for this economy.
Tax-to-GDP: Tanzania vs Benchmarks (2018–2027)
Tanzania's tax ratio is closing the gap slowly — but at this pace reaches 18% around 2035, not 2030 as needed.
Population Dynamics: 70 Million Today, ~130 Million by 2050
Tanzania's population is both its greatest asset and its most demanding arithmetic challenge. More workers means more output potential — but only if the economy generates formal jobs. More mouths means more pressure on education, healthcare, and infrastructure.
Tanzania Population Projection 2025–2055
UN variant projections. Medium variant shows ~130M by 2050 — the key denominator for per capita income calculations.
GDP Per Capita Across Growth Scenarios (2025–2060)
At 10.2% growth, per capita income hits $7,692 by 2050 (exceeds the $7,000 target). At 5.9%, per capita in 2050 is only ~$2,976.
Year
Population (M)
GDP @5.9% ($B)
GDP @7.5% TICGL ($B)
GDP @10.2% ($B)
Per Capita @10.2%
Per Capita @7.5%
vs $7,000 Target
2025
67.5
$91.8
$91.8
$91.8
$1,360
$1,360
19%
2030
77.5
$122
$132
$149
$1,922
$1,703
27%
2035
90.1
$163
$186
$243
$2,697
$2,065
39%
2040
104.8
$217
$263
$397
$3,788
$2,510
54%
2045
117.2
$290
$371
$648
$5,530
$3,165
79%
2050
130.0
$387
$523
$1,000
$7,692
$4,023
110% / 57%
2055
137.0
$517
$737
—
—
$5,380
77%
2058–2062
142.0
~$617
~$940–$1,000B
—
—
~$6,900
~$1T TICGL est.
✅ The Per Capita Arithmetic Works — But Only If GDP Gets There
At TICGL's central estimate (7.5% growth, $1T around 2060), per capita income at that point would be approximately $6,900–$7,200 — essentially meeting the Dira 2050 $7,000 per capita target, just 8–12 years late. The population math is not Tanzania's enemy: at ~140 million by 2060, $1 trillion still delivers upper-middle-income per capita. The sole constraint is GDP growth acceleration. Every percentage point of real growth added to the annual trajectory advances the $1 trillion date by approximately 2–3 years.
FY2026/27 Budget: Does It Address the Policy Gaps?
The FY2026/27 Budget (TZS 62.33 trillion, presented June 11 2026) is explicitly framed as Dira 2050's first annual fiscal instrument. How well does it address the six policy gaps identified above?
The FY2026/27 Budget is a credible first step toward Dira 2050, particularly in its self-financing ambition (74.2% domestic revenue) and the digital payment formalisation mandate. But it does not yet constitute the structural reform programme needed to close the decade gap to 2058–2062. The wage bill explosion (+31.4%) and the absence of any PPP financial close are the two most concerning signals: they suggest government is still the economy's primary actor rather than its enabler — precisely the pattern Dira 2050 is designed to change.
Dira 2050: The Vision Architecture Behind the Numbers
Understanding what Tanzania has committed to — and why the commitment is structurally sound, even if the pace is insufficient.
🏛️
Foundation: Governance, Peace & Security
Rule of law, democratic institutions, anti-corruption, accountable civil service, and regional peace diplomacy. The environment without which no growth scenario is credible.
Sustainable management of Tanzania's exceptional biodiversity, wetlands, water resources, pollution control, and climate adaptation strategies.
32% of land protected
Carbon markets participation
Climate resilience across all sectors
⚡
Enablers: Energy, Transport, Digital, S&T
JNHPP (2,115 MW) commissioned; SGR Dar–Dodoma operational; digital payments expanding; science and technology investment growing. These are the brightest policy signals in the current budget.
Power target: 15,000 MW by 2050
SGR: Dar–Mwanza full completion
Digital literacy: 70% by 2050
🏗️
Transformation Sectors: 9 Priority Areas
Agriculture, tourism, manufacturing, construction, mining, blue economy, sports & creative, financial services, and services — each targeted for structural transformation to 2050.
Agriculture: 26.5% of GDP → modernised
Tourism: 25% of export earnings
Mining: lithium, graphite, gold value-add
Progress Dashboard: How Far Has Tanzania Come?
Where Tanzania stands today relative to key Dira 2050 targets — and relative to what Dira 2025 promised. Progress bars show % completion toward the 2050 target.
Economic Targets — Progress vs 2050
GDP: $91.8B / $1,000B 9.2% of target
Per Capita: $1,277 / $7,000 18.2%
Tax-to-GDP: 13.1% / 18% needed 73%
Manufacturing / GDP: 8.1% / 25%+ 32%
Formal Employment: ~20% / 50% 40%
Budget Self-Financing: 74.2% / 90%+ 82%
Power Capacity: 4,522 / 15,000 MW 30%
Private Investment / GDP: 22% / 33% 67%
Human Development — Progress vs 2050
Life Expectancy: 68 / 75 years 91%
Primary Enrolment: 98% / 100% 98%
Secondary Completion: ~30% / 90% 33%
Rural Water Access: 79.9% / 100% 80%
Digital Literacy: ~35% / 70% 50%
Poverty Rate: 25.1% → 0% (reverse) 65%
Human Capital Index: 0.39 / 0.70+ 56%
Gender Parity Closure: ~40% / 85% 47%
The Road Ahead: Key Milestones 2026–2062
A realistic sequencing of what must happen — and when — for Tanzania to close the gap between the 2050 vision and the 2058–2062 reality.
Tanzania GDP Milestone Chart 2025–2060 — Stacked Growth Scenarios
Columns show cumulative GDP by year across three scenarios. The $1T line is crossed by the 10.2% scenario at 2050, the 8% scenario around 2054–2056, and the 7.5% TICGL central estimate around 2058–2062.
2026–2031 — FYDP IV: Critical Foundation Years
The growth rate achieved in this 5-year period determines everything. If Tanzania averages 7.5%+ and closes gaps 1, 4, and 6 (tax base, informality, skills), the 2058–2062 estimate improves. If it averages 5.9%, the 2065 scenario hardens. SGR Dar–Mwanza completion, JNHPP power expansion, and digital payment enforcement are the three measurable tests. GDP must reach $130–150B by 2031.
2032–2036 — FYDP V: The Private Sector Must Lead
By 2032, PPP projects must be at financial close — not just MOU stage. Manufacturing's share of GDP must be rising toward 14–16%. Private investment must exceed 27% of GDP. Tax-to-GDP must cross 15%. This is the inflection window: if reform momentum holds, Tanzania accelerates from 7% to 8%+. If not, the 2065 trajectory solidifies. Population: ~88M. GDP target at 8%: $200–220B.
2037–2041 — FYDP VI: Manufacturing & Digital Economy Scale
If FYDP V reforms held, Tanzania enters FYDP VI as a genuinely diversifying economy. Manufacturing at 18–20% of GDP. Digital economy contributing 10%+. Formal employment crossing 35%. Tax-to-GDP at 16–17%. This is the phase where the growth compounding effect becomes dramatic — each year of 8% growth adds more absolute dollars than the previous decade. Population: ~105M. GDP target range: $280–350B.
2042–2046 — FYDP VII: The Demographic Dividend Peaks
Tanzania's working-age population share peaks around 2040–2050, creating the maximum opportunity for demographic dividend. If the education and formalisation reforms of FYDP V–VI have held, this is when productivity growth accelerates most sharply. Tourism revenues should be triple 2025 levels. Mining value-addition (lithium, graphite for EV batteries) generating major export earnings. Population: ~118M. GDP must be in the $400–550B range.
2047–2050 — Dira 2050 Deadline: Reality Check
At this moment, Tanzania's GDP will most likely be in the $600–800B range — impressive, transformative, upper-middle-income territory — but not yet $1 trillion. Per capita income will be $5,000–$6,500. This is still a remarkable achievement: Tanzania will have transformed. The $1T milestone is close, not failed. The Dira 2050 framework will likely be extended or succeeded by a new plan completing the final lap.
2058–2062 — TICGL Central Estimate: $1 Trillion Arrives
Under the TICGL 7.5% central scenario, Tanzania crosses $1 trillion between 2058 and 2062. Population ~140–145M. Per capita income ~$7,000–$7,500 — meeting the Dira 2050 per capita target even if the GDP deadline was missed by roughly a decade. Tanzania will be East Africa's largest economy and a genuine continental economic powerhouse. The vision will have been achieved — on a slightly extended timeline driven by the policy gaps identified in this analysis.
🇹🇿
Muhtasari wa Kiswahili — Je, Tanzania Itafikia $1 Trilioni Miaka 10 Baada ya 2050? Mapungufu ya Sera Ndiyo Jibu
Tatizo la msingi ni nini? Tanzania inalenga kufikia uchumi wa dola trilioni moja ($1T) ifikapo mwaka 2050, kama ilivyowekwa katika Dira ya Taifa ya Maendeleo 2050. Lakini TICGL inaona kwamba kwa kasi ya ukuaji wa sasa ya asilimia 5.9, lengo hilo linaweza kufikiwa tu karibu mwaka 2065. Hata kama Tanzania itaongeza kasi hadi asilimia 7.5–8 kwa mwaka — ambayo ni kasi inayohitaji mageuzi makubwa ya kisera — bado tutafika $1 trilioni kati ya mwaka 2058 na 2062. Hii ni miaka 8 hadi 12 baada ya lengo la Dira 2050.
Mapungufu 6 ya sera ndiyo chanzo cha ucheleweshaji: Uchambuzi wa TICGL unaonyesha mapungufu sita makubwa ya kisera ambayo ndiyo yanayotuzuia kufikia uchumi wa $1 trilioni kwa wakati: (1) Kodi ndogo — uwiano wa kodi na pato la taifa ni asilimia 13.1 tu dhidi ya wastani wa SSA wa asilimia 16; (2) Viwanda duni — sekta ya viwanda inachangia asilimia 8.1 tu ya pato la taifa; (3) Sekta binafsi kukandamizwa — serikali inakopa sana katika soko la fedha ikiipokonya sekta binafsi nafasi ya kukopa na kuwekeza; (4) Uchumi usiofaa (informal sector) — asilimia 45–55 ya uchumi haijaingia kwenye mfumo wa kodi na huduma rasmi; (5) Bajeti isiyo na usawa — mishahara inaongezeka kwa asilimia 31.4 huku matumizi ya maendeleo yakipungua; na (6) Ujuzi usiokidhi — mfumo wa elimu hauzalishi wahitimu wenye ujuzi wa viwanda, teknolojia na dijitali.
Bajeti ya 2026/27 inasema nini kuhusu mapungufu haya? Bajeti ya TZS trilioni 62.33 inashughulikia mapungufu mawili kwa kiasi fulani: utekelezaji wa malipo ya kidijitali (yanayoweza kupunguza uchumi usiorasmi) na uwekezaji wa elimu (TZS trilioni 1.58). Lakini mapungufu mazito zaidi yanabaki: hakuna mradi hata mmoja wa PPP uliofika hatua ya kukopeshwa fedha; bill ya mishahara imeongezeka kwa kasi ya mara tano ya ukuaji wa uchumi; na hakuna mkakati mahsusi wa kuongeza sehemu ya viwanda katika pato la taifa.
Je, idadi ya watu itakuwa tatizo? Hapana — hesabu za watu hazifanyi lengo kuwa gumu zaidi. Watu milioni 130 mwaka 2050 wakigawanywa na $1 trilioni = dola $7,692 kwa kila mtu, ambayo inazidi lengo la Dira 2050 la dola $7,000. Tatizo si idadi ya watu — ni ukuaji wa uchumi. Kila asilimia moja ya ukuaji wa ziada kwa mwaka inapelekea kufikia $1T miaka 2–3 mapema zaidi.
Hitimisho la TICGL: Dira 2050 ni dira nzuri na yenye mantiki. Malengo yake yanashikamana kisayansi. Lakini kwa kasi ya sasa ya utekelezaji wa sera, Tanzania itafikia uchumi wa dola trilioni moja kati ya mwaka 2058 na 2062 — miaka kama 10 baada ya lengo. Kufunga mapungufu mitatu au minne ya sera iliyotambuliwa hapo juu — hasa kodi, viwanda, na PPP — kunaweza kuhamisha tarehe hiyo hadi 2054–2056. Dira 2050 siyo ndoto isiyowezekana; ni ndoto inayohitaji kasi ya ziada katika utekelezaji wa kila bajeti ijayo.
Further Reading — TICGL Economic Research
Explore connected TICGL analyses on Tanzania's economic trajectory, investment climate, and development planning.
How 8 Million Dar es Salaam Residents Lose Up to 5 Hours a Day to Traffic — TICGL
TICGL / TERI Research Paper · 2025
How More Than 8 Million Dar es Salaam Residents Lose Up to 5 Hours a Day to Traffic Congestion, Costing the City Economy an Estimated TZS 4 Billion Daily
A data-driven assessment of commuting time, congestion-related productivity loss, and economic implications for workers and businesses in Tanzania's commercial capital.
📍 Dar es Salaam, Tanzania📅 Reference Period: 2023–2025🏛 Tanzania Investment and Consultant Group Ltd (TICGL)Tanzania Economic Research Institute (TERI)
2.48–5.0Hours lost per worker, per dayMeasured range across corridors
TTI = 2.19Travel Time Index (peak vs. off-peak)Peak journeys take 2.19× longer
Dar es Salaam, Tanzania's commercial capital and fastest-growing city in East Africa, faces a deepening urban mobility crisis. Severe traffic congestion on its primary road corridors imposes significant time losses on the city's workers, traders, and business operators, translating into measurable productivity deficits and economic costs. Workers in Dar es Salaam lose an average of 2.48 to 5.0 hours per day to congestion-related travel delays, with a city-wide productivity cost estimated at approximately TZS 4 billion per day — equivalent to roughly 6 percent of the city's annual GDP. The paper identifies major congestion corridors, disaggregates the impact by worker category, and proposes evidence-based policy responses aligned with Tanzania's Fourth Five-Year Development Plan (FYDP IV) and Development Vision 2050.
Section 1
Introduction: A City Under Structural Pressure
Dar es Salaam is one of the fastest-growing cities in sub-Saharan Africa, expanding at an annual rate of approximately 6.5 percent, with a metropolitan population approaching 8 million people as of 2025. It functions as Tanzania's commercial, financial, and industrial hub, contributing an estimated 17 to 20 percent of national GDP, with a per-capita GDP of TZS 5.8 million — more than double the national average.
Yet alongside this growth comes a deepening urban mobility crisis. The city's road infrastructure has not kept pace with rapid urbanisation, motorisation, and population growth. Approximately 70 percent of all registered vehicles in Tanzania operate within Dar es Salaam, placing an enormous burden on a road network designed for a fraction of current demand.
The economic significance of this congestion is rarely captured in formal economic accounts. Lost working hours, delayed business openings, missed client appointments, reduced delivery frequency, and excessive fuel expenditure are real costs borne by individuals and firms — but they are largely invisible in aggregate productivity statistics. This research makes those costs visible, measurable, and actionable for policymakers and urban planners.
"For a salaried worker, congestion means arriving late, leaving early, or working fewer effective hours. For a market trader, it means a delayed opening, fewer customers served, and reduced daily turnover. For a transport-dependent business, it means missed deliveries, higher fuel costs, and lower operational efficiency."
Dar es Salaam Population Growth Trend
Millions of residents, 2010–2030 (projected)
DSM Share of Tanzania's Registered Vehicles
Concentration of national vehicle fleet in Dar es Salaam
The Vehicle Fleet and Infrastructure Gap
An estimated 70 percent of all registered vehicles in Tanzania are located in Dar es Salaam. The total vehicle volume has been estimated at over 400,000, including more than 6,000 commuter buses (daladala). Yet the city's trunk road network was designed for a fraction of that load.
The average vehicular speed on major Dar es Salaam roads during peak hours has been measured at as low as 10 to 15 km/h — well below the free-flow benchmark of approximately 30 to 35 km/h on urban arterials. This means congestion effectively reduces average speeds by more than 50 percent during morning and evening peaks.
Average Road Speed: Free-Flow vs. Peak Hours (km/h)
Dar es Salaam major arterials — speed comparison by condition
BRT Status and the Infrastructure Gap
The Dar es Salaam Bus Rapid Transit (DART) system was introduced to provide high-capacity public transit on the Morogoro Road corridor. Phase 1, covering Kimara to Kivukoni, has been operational since 2016. However, only a single corridor is currently fully operational with dedicated busway infrastructure. The remaining major corridors — Kilwa Road, Nyerere Road, Mandela Road, and the northern approach routes — continue without BRT, leaving the overwhelming majority of workers dependent on daladala and private vehicles competing on the same road space.
🚌
BRT Coverage Gap: Of Dar es Salaam's five major arterial corridors, only the Morogoro Road Phase 1 corridor has dedicated BRT infrastructure. The remaining four corridors — serving the majority of commuters — have no segregated transit lanes, with all vehicles competing for the same road space.
Section 2
Residential Origins and Economic Destination Corridors
Dar es Salaam's urban form is predominantly monocentric — employment and commercial activity are heavily concentrated in a central corridor stretching from the CBD (Posta, Kisutu, Kariakoo) northward through Masaki, Msasani, and Mikocheni. Residential growth pushes workers and traders into peripheral areas, which are poorly connected to employment centres by road.
Zone
Key Residential Areas
Economic Destinations
Primary Corridor
Northern
Tegeta, Wazo, Bunju, Mbezi Beach, Kawe, Goba, Mwenge, Kinondoni
CBD, Masaki, Msasani, Mikocheni
Sam Nujoma / Ali Hassan Mwinyi Road
Western
Kimara, Ubungo, Sinza, Kijitonyama, Mbezi Luis
CBD, Kariakoo, Posta, Ubungo
Morogoro Road
South-Western
Tabata, Segerea, Ukonga, Gongo la Mboto, Pugu, Buguruni, Vingunguti
CBD, Kariakoo, Industrial areas
Nyerere Road / Mandela Road
Southern
Mbagala, Chamazi, Tandika, Temeke, Mtoni
CBD, Kariakoo, Port/Kurasini
Kilwa Road / Bandari Road
Kigamboni
Kigamboni, Mjimwema
CBD, Kurasini, Port
Ferry / Bridge link
Port-Industrial
Kurasini, Bandari
CBD, Kariakoo, Industrial zones
Kilwa Road / Nyerere Road link
Table 1: Study area breakdown — major residential origin zones mapped against primary economic destination clusters. Source: TICGL, JICA Dar Transport Master Plan.
Section 3
Travel Time Evidence: Peak-Hour Burden by Corridor
The most comprehensive primary research on travel time loss in Dar es Salaam was conducted along the Morogoro Road and Nelson Mandela Road corridors. The measured Travel Time Index (TTI) was 2.19, which means a journey during peak hours takes on average 2.19 times longer than the same journey during off-peak conditions — a congestion surcharge of 119 percent on every peak-hour commute.
The same study found an asymmetric effect: workers spent approximately double the off-peak time travelling to work in the morning, but approximately triple the off-peak time returning home in the evening. This means the evening peak is significantly more severe than the morning peak, compounding fatigue and reducing available time for rest, family activity, and secondary economic engagement.
The following matrix provides estimated travel times across major commuter corridors, comparing morning peak and off-peak conditions, based on the TTI of 2.19 applied to corridor-specific baseline distances.
Origin
Destination
Distance (km)
Off-Peak (min)
Peak (min)
Excess Time (min)
Tegeta
Kariakoo / CBD
24–27
45–50
120–135
75–85
Tegeta
Masaki / Msasani
20–22
40–45
95–115
55–70
Kimara
Posta / CBD
20–22
35–45
75–100
40–55
Mbagala
Kariakoo / CBD
18–20
35–45
80–105
45–60
Ukonga
Kariakoo / CBD
15–18
30–40
70–95
40–55
Goba / Mbezi Luis
Mwenge
12–15
25–35
60–80
35–45
Kigamboni
Posta / CBD
22–25
40–50
90–120
50–70
Temeke
Kilwa Rd / CBD
14–17
30–40
70–90
40–50
Segerea / Tabata
Nyerere Rd / CBD
12–15
25–35
60–80
35–45
Table 2: Author estimates based on measured TTI of 2.19 (Mpogole et al., 2016); corridor distances from JICA Dar Transport Master Plan. All figures approximate.
Spotlight: Worst-Affected Corridors
Tegeta → CBD Corridor
Via Sam Nujoma / Ali Hassan Mwinyi Road
135 min
Peak journey time
47 min
Off-peak baseline
5 hrs
Max daily round trip
Kimara → CBD Corridor
Via Morogoro Road (BRT Phase 1)
100 min
Peak journey time
40 min
Off-peak baseline
3.3 hrs
Max daily round trip
Mbagala → CBD Corridor
Via Kilwa Road
105 min
Peak journey time
40 min
Off-peak baseline
3.5 hrs
Max daily round trip
Kigamboni → CBD Corridor
Via Ferry / Kigamboni Bridge
120 min
Peak journey time
45 min
Off-peak baseline
4 hrs
Max daily round trip
Peak vs. Off-Peak Journey Times by Corridor
Minutes — midpoint estimates per origin-destination pair
The Tegeta Corridor: A Representative Case Study
A worker living in Tegeta and employed in the CBD — approximately 25 kilometres via Sam Nujoma or Ali Hassan Mwinyi Road — may complete the journey in 45 to 50 minutes during off-peak conditions. During morning peak hours (approximately 06:30 to 09:00), the same journey routinely requires 120 to 135 minutes, and during evening peak (approximately 16:30 to 20:00), delays can extend to 150 minutes or beyond.
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The Tegeta Time Calculation: On a round trip, a Tegeta-based worker may spend between 3.5 and 5.0 hours per day in transit. Against a nominal 8-hour working day, this means up to 62 percent of a worker's waking productive window is consumed by mobility alone — before any time is allocated to eating, household responsibilities, rest, or skill development.
Section 4
Productive Hours Lost: Estimation by Worker Category
Dar es Salaam's labour force includes formal private sector employees, civil servants, self-employed traders, artisans, service providers, transport operators, and a large informal sector. The NBS Integrated Labour Force Survey estimates that the informal sector employs approximately 76 percent of Tanzania's workforce. Workers are grouped into four categories to capture the different ways congestion affects productive time.
A
Formal Salaried Employees
2.0–3.0 hrs/day lost
Office employees, civil servants, private sector professionals. Direct impact: late arrival, reduced effective working day. Some leave home as early as 03:00–04:00 to avoid peak hours, sacrificing sleep rather than working hours.
B
Self-Employed Traders & Market Operators
1.5–2.5 hrs/day lost
Market traders, informal sector operators, small-scale vendors. Time is directly monetised — a trader who opens one hour late loses one hour of trading time. Doubly exposed when making multiple supply trips.
C
SME Owners, Service Providers & Professionals
1.5–3.0 hrs/day lost
SME operators, legal, accounting, consulting, medical professionals. Impact extends beyond personal commute — staff lateness, missed client meetings, and delivery delays all compound the business-level time loss.
D
Transport-Dependent Businesses & Logistics
2.0–4.0 hrs/day lost
Freight haulers, delivery services, daladala operators. Under free-flow conditions, a vehicle might complete 6 delivery cycles per day; peak congestion reduces this to 3–4. Revenue falls, fuel costs rise.
Daily Hours Lost by Worker Category
Low and high estimate range per category
Annual Productive Hours Lost per Worker
Mid-point estimate over 312 working days
Aggregate Productive Hours Lost — Summary Table
Worker Category
Daily Hrs Lost
Monthly Hrs Lost (26 days)
Annual Hrs Lost (312 days)
% of Annual Working Hrs
Formal Salaried Employees
2.0 – 3.0
52 – 78
624 – 936
31 – 47%
Self-Employed Traders
1.5 – 2.5
39 – 65
468 – 780
23 – 39%
SME Owners / Professionals
1.5 – 3.0
39 – 78
468 – 936
23 – 47%
Transport / Logistics Operators
2.0 – 4.0
52 – 104
624 – 1,248
31 – 62%
Average across categories
2.48 – 3.0
64 – 78
774 – 936
39 – 47%
Table 3: Assumes 2,000 standard working hours per year (8 hrs/day × 250 working days). Hours lost are productive-equivalent hours, not total commute hours. Source: Mpogole et al. (2016); Elisonguo (2013); TICGL analysis.
What Does 47% Lost Working Time Mean?
A worker losing 47 percent of their annual working hours to congestion is effectively working for only 53 percent of their nominal working year — equivalent to just over six months of productive output from a twelve-month salary or business investment. For the city's aggregate economy, this is not a marginal inefficiency; it is a structural shortfall in human capital deployment at scale.
Transport / Logistics (max)
62%
Formal Employees (max)
47%
SME Owners (max)
47%
Traders (max)
39%
Average (mid)
43%
Figure: Percentage of annual working hours lost to congestion, by worker category (maximum estimates). Source: TICGL analysis.
Section 5
The Economic Cost of Congestion-Related Time Loss
The most widely used methodology for valuing lost time in transport economics is the wage-based approach, which treats the opportunity cost of time as equivalent to the marginal value of an hour of labour. As of 2025, the mean urban wage in Tanzania was estimated at TZS 494,812 per month (approximately USD 189), implying a mean hourly wage of approximately TZS 2,378 per hour (assuming 208 working hours per month).
Individual-Level Cost Estimation
Parameter
Low Estimate
Mid Estimate
High Estimate
Basis
Daily excess time lost (hrs)
2.0
2.5
5.0
Measured range from Dar studies
Mean hourly wage (TZS)
1,800
2,378
4,200
NBS / World Bank 2025 data
Daily monetary loss (TZS)
3,600
5,945
21,000
Hours lost × hourly wage
Monthly loss (TZS, 26 days)
93,600
154,570
546,000
Daily × 26
Annual loss (TZS, 312 days)
1,123,200
1,854,840
6,552,000
Daily × 312
Annual loss (USD equivalent)
$430
$710
$2,510
At TZS 2,610 / USD (2025)
Table 4: Individual-level congestion cost estimation. Source: NBS Tanzania Integrated Labour Force Survey; TICGL analysis.
Annual Individual Cost of Congestion (TZS)
Low, mid, and high scenario by estimate
City-Wide Daily Productivity Loss (TZS Billions)
Conservative, mid and World Bank reference scenarios
City-Wide Daily Economic Cost Estimate
Conservative Scenario
TZS 5.4 Bn/day
1.5M commuters × TZS 3,600/day avg loss
Mid Scenario
TZS 7.2 Bn/day
2.0M commuters × TZS 3,600/day avg loss
World Bank / DMDP Reference
TZS 4 Bn/day
≈ USD 1.8 million per day
At mid scenario, the annualised city-wide productivity loss exceeds TZS 2.0 trillion per year (approximately USD 780 million) — equivalent to roughly 6% of Dar es Salaam's estimated annual GDP.
The Broader Economic Multiplier
The direct wage-equivalent time loss is only one component of the true economic cost. Several additional channels amplify the aggregate impact:
Relative estimated contribution to total economic impact (illustrative)
Wage/productivity loss
~55%
Fuel overconsumption
~18%
Vehicle wear/maintenance
~10%
Supply chain inefficiency
~10%
Health & fatigue costs
~7%
Figure: Illustrative breakdown of congestion's total economic impact. Direct wage-equivalent loss is quantified; other channels are estimated. Source: TICGL analysis based on literature review.
Section 6
Business-Level Impacts: Traders, SMEs, and Transport Operators
For Dar es Salaam's market traders and small retailers, the day begins with the journey to market — either to pick up wholesale stock from Kariakoo, Tandika, or Mwenge markets, or to open a fixed location on time. Traffic congestion imposes an opening-time penalty on both activities.
Transport-dependent businesses face compounded exposure. A single delivery vehicle that might complete six delivery cycles per day under free-flow conditions may complete only three to four cycles under peak congestion — halving the operational output of that vehicle and its driver.
Sector-Specific Impact Analysis
Sector
Primary Congestion Impact
Key Productivity Loss Channel
Severity
Retail / Trading
Late opening; delayed stock pickup from wholesale markets
Fewer customer transactions per day; reduced daily turnover
High
Construction / Engineering
Delayed material delivery; worker lateness affecting site start time
Reduced site working hours; project schedule overruns; cost escalation
High
Hospitality / Food Service
Delayed food supply delivery; staff late arrival; reduced breakfast/lunch service
Lost covers; food waste; reduced revenue per seat per day
Medium–High
Healthcare
Patient late arrival; staff commute delays; ambulance response time degraded
Fewer delivery cycles per vehicle per day; higher fuel burn
Revenue loss per vehicle; higher operating cost; supply chain disruption
Very High
Manufacturing / Industrial
Raw material delivery delay; shift start disruption
Reduced output per shift; energy and idle cost increase
Medium–High
Table 5: Sector-specific congestion impact analysis. Source: TICGL research synthesis.
Estimated Daily Revenue Loss by Business Type (TZS '000 per operator)
Illustrative mid-scenario estimates based on sector turnover and congestion delay assumptions
"Commuter bus owners bear a double burden: fewer trips per day and significantly higher fuel consumption due to idle time in congestion — compressing margins, reducing public transport reliability, and creating a self-reinforcing negative cycle for the workers who depend on it."
Section 7
Policy Recommendations: From Evidence to Action
At an estimated TZS 4 to 7 billion per day in productivity value foregone — equivalent to approximately 6 percent of the city's GDP — Dar es Salaam's congestion-related productivity loss represents one of the largest unaddressed efficiency deficits in Tanzania's urban economy. Addressing it is a core economic development imperative directly relevant to the targets of FYDP IV and Development Vision 2050.
1
Infrastructure
Accelerate BRT Network Expansion Beyond Phase 1
The single most transformative intervention is the rapid expansion of the DART BRT network onto Kilwa Road (Southern Corridor), Nyerere Road (South-West), and the northern approach routes (Sam Nujoma / Ali Hassan Mwinyi). World Bank DMDP financing should be leveraged to accelerate corridor delivery, with PPP structures considered for station development and service operation.
2
Urban Policy
Establish Decentralised Economic Nodes
The monocentric structure of Dar es Salaam is a root cause of the congestion burden. Deliberate investment in secondary economic hubs — commercial and light industrial zones in Tegeta/Mbezi, Kigamboni, Ukonga/Gongo la Mboto, and Mbagala — would distribute the employment geography and reduce cross-city peak commutes. Consistent with FYDP IV's satellite city and secondary urban centre concepts.
3
Regulatory
Introduce Staggered Work Hours for Public Sector
A zero-capital, immediately implementable intervention: shift a portion of the government workforce to earlier (07:00) or later (09:30) start times, spreading peak demand across a wider time window and reducing the height of the morning peak. As the largest single employer in Dar es Salaam, the government can implement this unilaterally.
4
Regulatory
Promote Freight and Logistics Scheduling Outside Peak Hours
Require heavy and commercial vehicles to operate in designated time windows (before 06:00 and after 21:00 for centre-city deliveries), modelled on practices in Nairobi, Kampala, and Kigali. TANROADS and the municipal authorities have the regulatory mandate to implement such restrictions.
5
Technology / HR
Remote and Flexible Work Policy for the Private Sector
With mobile broadband penetration estimated at 80–85 percent nationally, a meaningful share of the formal sector workforce could perform some portion of their work remotely. Employer-led flexibility policies (work from home one or two days per week) would reduce the daily commuter volume without requiring infrastructure investment.
6
Engineering
Junction Upgrades and Traffic Signal Optimisation
Several of the worst congestion hotspots are attributable to poorly performing intersections. Targeted engineering interventions at key nodes — including grade-separated interchanges at Ubungo and Tazara — and modern adaptive traffic signal systems could significantly reduce localised bottlenecks at modest cost compared to new road construction.
7
Data & Research
Annual Congestion Cost Reporting and Data Collection
Tanzania's policymakers currently lack consistent, annually updated data on congestion levels, travel times, and productivity costs for Dar es Salaam. Establishing a formal annual congestion monitoring programme — drawing on GPS floating car data, DART operational data, and periodic commuter surveys — would enable evidence-based investment prioritisation. TICGL/TERI is positioned to contribute to this monitoring function.
Policy Intervention Matrix: Estimated Cost vs. Impact Potential
Indicative positioning of seven recommended interventions
Conclusion
Conclusion: Urban Mobility is an Economic Growth Strategy
Traffic congestion in Dar es Salaam is among the most costly and least-measured economic drains on Tanzania's fastest-growing city. The central findings of this research are unambiguous. Workers lose an average of 2.48 to 5.0 hours per day to congestion-related travel delays. Across a working month of 26 days, this implies a loss of 64 to 78 productive hours per worker — equivalent to nearly two full working weeks consumed annually by congestion alone.
The city-wide monetary cost is estimated conservatively at TZS 4 billion per day, equivalent to approximately TZS 1.2 to 2.0 trillion per year, or roughly 6 percent of Dar es Salaam's annual GDP.
The impact falls most heavily on peripheral corridor residents — particularly those living in Tegeta, Kimara, Mbagala, Ukonga, and Kigamboni — who face the longest commutes to the employment-dense CBD and northern business corridors. For market traders and informal sector operators, the impact is compounded through lost trading time, delayed market openings, reduced delivery cycles, and lower daily turnover.
"Tanzania's FYDP IV and Development Vision 2050 both identify urbanisation as a transformative driver of growth. That potential will not be realised if Dar es Salaam's workers continue to lose a third to half of their productive working time to roads. Urban mobility is not a secondary concern of development planning — it is a primary determinant of how productively a city's human capital can be deployed."
Projected Cumulative Productivity Loss Without Intervention (TZS Trillion)
Modelled annual accumulation 2025–2035, assuming population growth of 6.5% p.a. and no major infrastructure improvement
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Muhtasari wa Kiswahili
Kwa wasomaji wa lugha ya Kiswahili — TICGL / TERI
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Tatizo Kuu
Dar es Salaam inakabiliwa na msongamano mkubwa wa magari ambao unawasababishia wakaazi zaidi ya milioni 8 kupoteza saa 2.48 hadi 5.0 kila siku katika misongamano ya barabarani. Hii inamaanisha kwamba mfanyakazi mmoja hupoteza saa za kazi za thamani — bila kupata malipo — tu kwa sababu ya msongamano wa usafiri.
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Gharama ya Uchumi
Kwa mujibu wa Benki ya Dunia na takwimu za mradi wa DMDP, gharama ya uzalishaji iliyopotea kila siku jijini Dar es Salaam inakadiriwa kufikia TZS bilioni 4 — sawa na dola za Marekani milioni 1.8 kwa siku. Kwa mwaka mzima, hasara hii inaweza kuzidi TZS trilioni 1.2 hadi 2.0, sawa na asilimia 6 ya Pato la ndani la Dar es Salaam.
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Kiwango cha Msongamano (TTI)
Kiwango cha TTI (Travel Time Index) kilichopimwa Dar es Salaam ni 2.19. Hii inamaanisha kwamba safari inayochukua dakika 30 wakati wa usiku au mapema asubuhi, inachukua dakika 66 wakati wa msongamano wa asubuhi — ongezeko la asilimia 119. Ukanda wa Tegeta unakabiliwa zaidi — safari ya kilomita 25 inaweza kuchukua dakika 135 au zaidi.
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Athari kwa Wafanyabiashara
Wafanyabiashara wa masoko ya Kariakoo, Tandika, na Mwenge wanafungua maduka yao baadaye kutokana na msongamano. Hii inamaanisha kupoteza muda wa biashara wa saa 1 hadi 2 kila siku. Kwa mwezi mzima, mfanyabiashara mmoja anaweza kupoteza saa 52 hadi 78 za biashara — sawa na wiki zaidi ya moja na nusu ya wakati wa kufanya biashara.
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Msongamano na BRT
Mfumo wa DART (BRT) bado unafanya kazi kwenye njia moja tu — Morogoro Road (Kimara–Kivukoni). Njia nyingine nne kuu — Kilwa Road, Nyerere Road, Mandela Road, na Sam Nujoma Road — hazina mfumo wa usafiri wa haraka (BRT), hivyo watumiaji wengi wanategemea daladala ambazo zinashindana na magari mengine barabarani. Hii ni sababu kuu ya msongamano.
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Mapendekezo ya Sera
TICGL/TERI inapendekeza: (1) Kupanua mtandao wa BRT haraka kwenye njia nyingine; (2) Kuanzisha vituo vya kiuchumi kwenye maeneo ya nje ya jiji kupunguza safari za mbali; (3) Kufanya mabadiliko ya muda wa kuanza kazi serikalini; (4) Kudhibiti magari mazito kufanya kazi usiku; (5) Kuruhusu kazi za nyumbani kwa sekta ya kibinafsi; (6) Kuboresha taa za barabarani na makutano muhimu. Hizi ni hatua zinazoweza kutekelezwa sasa hivi, na zinalingana na FYDP IV na Dira 2050.
References
References and Data Sources
Basondole, A. (n.d.). Traffic congestion estimates for Dar es Salaam. Unpublished report.
Elisonguo, A. D. (2013). The Social-Economic Impact of Road Traffic Congestion in Dar es Salaam Region. Mzumbe University, Morogoro.
IMF (2025). World Economic Outlook. International Monetary Fund, Washington DC.
JICA (2008). Dar es Salaam Transport Policy and System Development Master Plan. Technical Report. Japan International Cooperation Agency / Pacific Consultants International, Tokyo.
Kiunsi, R. B. (2013). A Review of Traffic Congestion in Dar es Salaam City from the Physical Planning Perspective. Ardhi University, Dar es Salaam.
Mpogole, H., Mwamfupe, D., & Mwakatobe, A. (2016). Traffic Congestion in Dar es Salaam: Implications for Workers' Productivity. Journal of Sustainable Development, Canadian Center of Science and Education.
Msigwa, R. (2013). Challenges facing urban transportation in Dar es Salaam. Academic Journal of Interdisciplinary Studies, 2(3), 145–155.
NBS (2023). Tanzania Integrated Labour Force Survey 2022/23. National Bureau of Statistics, Dar es Salaam.
TICGL (2025). Economics of Cities in Tanzania. Tanzania Investment and Consultant Group Ltd / Tanzania Economic Research Institute. www.ticgl.com.
TomTom (2025). TomTom Traffic Index 2025: Annual Report on Global Urban Congestion. TomTom International BV, Amsterdam.
World Bank (2019). Untying Dar es Salaam's Traffic Knots, One Feeder Road at a Time. World Bank Feature Story, 1 April 2019.
World Bank (2024). Tanzania Country Overview. World Bank, Washington DC.
Makala · Kiswahili
Msongamano wa Dar es Salaam: Wafanyakazi Zaidi ya Milioni 8 Wanapoteza Hadi Saa 5 kwa Siku — Na Jiji Linapoteza TZS Bilioni 4 Kila Siku
Na Amran Bhuzohera, Mchumi | TICGL / Tanzania Economic Research Institute (TERI) | Simu: +255 768 699 002
Dar es Salaam ni mojawapo ya miji inayokua haraka zaidi Afrika ya Kusini mwa Jangwa la Sahara — ikua kwa kasi ya asilimia 6.5 kwa mwaka, na idadi ya watu inayokaribia milioni 8 kufikia mwaka 2025. Mji huu ndiyo injini ya uchumi wa Tanzania, ukichangia asilimia 17 hadi 20 ya Pato la Taifa (GDP). Lakini pamoja na ukuaji huu mkubwa, kuna tatizo moja kubwa ambalo linaendelea kupuuzwa katika takwimu rasmi za uchumi:
Msongamano wa barabara unaibia Tanzania nguvu kazi ya thamani ya TZS bilioni 4 kila siku moja.
Hilo ndilo jibu la utafiti wa kina uliofanywa na TICGL na Tanzania Economic Research Institute (TERI), unaotoa tathmini ya kina ya muda unaopotea kwa msongamano, hasara ya uzalishaji na athari za kiuchumi kwa wafanyakazi na biashara jijini Dar es Salaam.
Je, Hali Halisi ni Nini? — Mambo 5 Makubwa ya Kuelewa
1
Kila mfanyakazi anapoteza saa 2.48 hadi 5.0 kwa siku — bila malipo
Utafiti unaonyesha kwamba wafanyakazi wanaotumia usafiri wa umma kwenye barabara za Morogoro Road na Nelson Mandela Road wanapoteza wastani wa saa 2.48 hadi 5.0 kwa siku. Kwa mwezi wa siku 26 za kazi, hii inamaanisha saa 64 hadi 78 zilizopotea — sawa na wiki karibu mbili kamili za kazi zinazomezwa na barabara kila mwezi. Travel Time Index (TTI) iliyopimwa Dar es Salaam ni 2.19 — ongezeko la asilimia 119 kwa kila safari ya muda wa kilele.
2
Gharama kwa jiji ni TZS bilioni 4 kila siku — sawa na asilimia 6 ya GDP ya Dar es Salaam
Ukipima hasara ya uzalishaji kwa wafanyakazi milioni 1.5 hadi 2.0 wanaosafiri kila siku, na kuzidisha kwa mshahara wa wastani wa saa (TZS 2,378), matokeo ni: hali ya wastani TZS bilioni 7.2 kwa siku; kumbukumbu ya Benki ya Dunia / DMDP: TZS bilioni 4 kwa siku; na kwa mwaka mzima zaidi ya TZS trilioni 1.2 hadi 2.0 — takriban asilimia 6 ya GDP ya Dar es Salaam.
3
Ukanda wa Tegeta ni mfano mzuri wa tatizo hili
Mfanyakazi anayeishi Tegeta na kufanya kazi CBD — kilomita 25 — anaweza kukamilisha safari hiyo kwa dakika 45 hadi 50 wakati wa usiku. Lakini wakati wa kilele cha asubuhi, safari hiyo hiyo inachukua dakika 120 hadi 135. Kwa safari ya kwenda na kurudi, mfanyakazi wa Tegeta anaweza kutumia saa 3.5 hadi 5.0 kwa siku barabarani tu — hadi asilimia 62 ya muda wake wa uzalishaji.
4
Biashara ndogo, madereva na wafanyabiashara wa masoko ndio wanaohisi zaidi
Dereva wa daladala anafanya safari 3 hadi 4 tu kwa siku badala ya 6 — nusu ya mapato yanayowezekana. Wafanyabiashara wa masoko ya Kariakoo, Tandika na Mwenge wanafungua maduka yao baadaye — wateja wachache, mapato madogo. Biashara za ujenzi, hospitali na usafirishaji zinabeba mzigo mara mbili: safari chache na mafuta mengi zaidi.
5
Mji wa monocentric ndiyo chanzo kikuu cha tatizo
Dar es Salaam ina muundo wa monocentric — ajira zimejikusanyika eneo moja tu: CBD hadi Masaki, Msasani na Mikocheni. Wakati huo huo, nyumba zinaendelea kujengwa mbali — Tegeta, Kimara, Mbagala, Ukonga, Kigamboni. Zaidi ya hayo, asilimia 70 ya magari yote yaliyosajiliwa Tanzania yako Dar es Salaam — mzigo mkubwa mno kwa barabara zilizoundwa kwa kiwango kidogo.
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TICGL Warning: Je, Dar es Salaam inaweza kuendelea kuwa injini ya uchumi wa Tanzania huku ikipoteza TZS trilioni 2 kwa mwaka kwa msongamano tu? Kama msongamano huu utaendelea bila jibu madhubuti, na idadi ya watu ikifikia milioni 10 ifikapo 2030, basi hasara ya uzalishaji itaendelea kukua kwa kasi zaidi kuliko uchumi wenyewe.
Hitimisho la TICGL
Msongamano wa Dar es Salaam si tatizo la usafiri tu — ni tatizo la kiuchumi la msingi ambalo linaathiri uwezo wa jiji kutumia kikamilifu nguvu kazi yake, biashara zake na uwekezaji wake. Hasara ya TZS bilioni 4 kwa siku haionekani kwenye akaunti yoyote ya Serikali — lakini inahisiwa kila siku na kila mfanyakazi anayetumia masaa yake kwenye barabara badala ya ofisini, dukani au shambani.
"Mjadala kuhusu uchumi wa Dar es Salaam haupaswi kuishia kwenye swali la 'GDP imekua kiasi gani?' bali uendelee kwenye swali muhimu zaidi: Je, mfanyakazi wa Dar es Salaam anaweza kufanya kazi kwa ufanisi kamili wakati saa 3 hadi 5 za siku yake zinateketezwa na barabara? Hapo ndipo kipimo halisi cha uwezo wa uchumi wa Dar es Salaam kitakapoanzia."
TICGL / Tanzania Economic Research Institute (TERI) | www.ticgl.com | Dar es Salaam, Tanzania. Makala hii imetayarishwa kwa madhumuni ya utafiti na ushiriki wa kisera. Matumizi yake yanakubaliwa kwa idhini.
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TICGL / TERI Research Paper · 2025
Unataka Kupata Nakala Kamili ya Utafiti Huu?
Utafiti kamili wa "Time Lost in Traffic and Its Impact on Productive Economic Activity in Dar es Salaam" unajumuisha data kamili ya corridor-level, mfumo wote wa kihesabu (TTI, ACET, PHLm, MVTL), uchambuzi wa kina wa sekta zote na mapendekezo yaliyokamilika ya kisera — yaliyoundwa na TICGL / Tanzania Economic Research Institute (TERI).
Tanzania's 31.4% Wage Bill Surge: New Jobs or Inflation Risk? | TICGL Economic Analysis
TICGL Fiscal Policy Brief · June 2026
Tanzania's Wage Bill Jumps 31.4% to TZS 10.13 Trillion — Are We Hiring More People or Just Paying More for the Same Government?
The single largest spending increase in Tanzania's entire 2026/27 Budget is not in infrastructure, education, or health — it is in the public sector wage bill. TICGL examines what this increase means, how many jobs it could create, and what it risks doing to the cost of living if it doesn't create them.
TZS 2.42 Trillion Extra in Public Sector Salaries — What Does This Actually Mean?
A 31.4% jump in the wage bill is the highest single-year increase in recent budget history. Before judging it, we must understand what it is composed of.
Tanzania's FY2026/27 Budget allocates TZS 10.13 trillion to wages, salaries, and staff benefits — up from TZS 7.71 trillion in the previous year. The increase of TZS 2.42 trillion represents the single largest spending jump in the entire budget, surpassing increases in health, education, infrastructure, and every other line item.
In the context of a total budget of TZS 62.33 trillion, the wage bill now accounts for approximately 16.2% of all government spending — up from 13.7% in 2025/26. To put this in perspective, the entire capital investment budget for physical assets is TZS 2.33 trillion — meaning Tanzania is now spending more than four times as much on paying its existing workforce as it is on building new productive infrastructure.
Two Possible Explanations — and Why It Matters Which One Is True
The critical question the budget speech does not answer with sufficient clarity is: what is driving this increase? There are two fundamentally different explanations, each with entirely different economic consequences:
Scenario A: New Recruitment — The government is hiring a large number of new public servants, predominantly in priority sectors such as health, education, agriculture, and security. The increase reflects the cost of placing thousands of additional people on the government payroll.
Scenario B: Salary Adjustments for Existing Staff — The government is raising the salaries of existing public servants, whether through a general salary review, grade promotions, or allowance restructuring. The number of employees remains broadly unchanged, but the cost of each one rises substantially.
The economic implications of these two scenarios are radically different — as the sections below will demonstrate.
Tanzania Wage Bill Growth Trend (TZS Trillion)
Historical trajectory and the FY2026/27 step-change
Employment Scenarios
How Many Jobs Could TZS 2.42 Trillion Create — and What Would That Look Like?
If this increase is primarily about new hiring, TICGL's analysis suggests a range of plausible employment outcomes depending on the grade and sector of recruitment.
Job Category
Estimated Avg Monthly Salary (TZS)
Annual Cost per Employee (TZS)
New Jobs if All TZS 2.42T Goes Here
Likely Sector
Lower-grade / support staff
500,000
6,000,000
~403,000
Clerical, security, sanitation
Skilled technician / nurse / primary teacher
700,000–900,000
9,600,000
~252,000
Health, education, agriculture
Mid-level professional (most common grade)
1,000,000–1,300,000
~14,400,000
~168,000
All sectors — most likely mix
Senior professional / specialist
2,000,000–3,000,000
30,000,000
~80,000
Technical, managerial roles
Senior management / director grade
4,000,000+
55,000,000+
~44,000
Ministry/agency leadership
* Estimates based on Tanzania Government Salary Scale (TGSS) reference points and include standard benefits allowances. All figures are indicative.
📊 TICGL Estimate: Most Likely Employment Scenario
If recruitment follows the typical public sector grade distribution — weighted toward mid-level positions in health and education — the TZS 2.42 trillion increase could fund between 168,000 and 252,000 new positions. However, this assumes the entire increase goes to new hires. In practice, a blend of salary adjustments and new recruitment is far more likely, meaning the actual number of new jobs created is almost certainly lower than these figures suggest.
Estimated New Jobs by Salary Grade (if all increase = new hires)
New Hires, Pay Rises, or Both? How Each Scenario Plays Out for the Economy
The economic consequence of this wage bill increase depends entirely on which of these three scenarios is closest to reality.
Scenario A — Best Case
Mostly New Recruitment in Frontline Sectors
The government hires 150,000–250,000 new public servants, concentrated in health workers, teachers, agricultural extension officers, and security forces — all sectors with well-documented shortages.
Economic outcome: Service delivery improves. Human capital investment aligns with FYDP IV's inclusive growth targets. New salaries enter the economy as consumer spending, supporting local markets, particularly in rural and peri-urban areas where posted staff are deployed.
Inflation risk: Moderate. Spending is geographically distributed and enters sectors with relatively elastic supply responses (food markets, rental accommodation in secondary towns).
Likelihood: Partially plausible, but would require an unprecedented single-year recruitment drive with immediate posting and service delivery impact.
Scenario B — Worst Case
Salary Adjustments for Existing Staff, Concentrated in Urban Centres
The bulk of the increase covers salary reviews, grade promotions, allowance restructuring, and pension adjustments for existing public servants. Few or no new positions are created. Tanzania's total public sector headcount grows minimally.
Economic outcome: Existing public servants receive higher disposable income, concentrated in Dar es Salaam, Dodoma, Mwanza, and other urban centres. This additional purchasing power competes for the same fixed supply of urban housing, food, transport, and services — pushing prices upward.
Inflation risk: High. A TZS 2.42 trillion demand injection into already-pressured urban markets, with no corresponding increase in goods supply, creates classic demand-pull inflationary pressure.
Likelihood: The most historically common pattern in Tanzanian public sector wage increases — and therefore the scenario that deserves the most scrutiny.
Scenario C — Most Likely
A Mix: Some Recruitment, Mostly Pay Adjustments
The government undertakes targeted recruitment of 50,000–100,000 new staff in health and education while simultaneously conducting a broader salary review for existing employees. The majority of the TZS 2.42 trillion increase covers existing staff costs.
Economic outcome: Limited employment creation falls short of the scale needed to make a visible dent in youth unemployment (currently ~26%). The salary adjustment component generates urban-concentrated demand pressure, with a moderate upward effect on urban consumer prices.
Inflation risk: Moderate-to-high. The specific risk is urban rental housing, private school fees, food prices in Dar es Salaam, and transport — sectors that tend to respond quickly to public sector income increases.
Likelihood: The most plausible scenario given the budget speech's lack of specificity about new recruitment numbers and the historical pattern of Tanzanian fiscal behaviour.
Wage Bill Increase Decomposition: How the TZS 2.42 Trillion Could Be Split
Illustrative scenarios — actual split not fully disclosed in budget speech
Inflation Analysis
The Cost of Living Question: Could a TZS 2.42 Trillion Wage Injection Push Prices Up?
When government spends significantly more on wages without a corresponding increase in productive output, the risk to household purchasing power is real and well-documented in economic literature.
How Wage-Driven Inflation Works
The mechanism is straightforward. When government workers receive higher salaries, their total spending power increases. They spend this additional income primarily on: rental housing (particularly in urban areas), food (especially processed and market food), private education, transport, and consumer goods.
If the supply of these goods and services does not increase in step with this new demand — and in the short run, the supply of housing and urban food is relatively inelastic — the price of these items rises. This is demand-pull inflation, and it disproportionately hurts people who are not public servants: the informal sector workers, the rural poor, the self-employed, and small traders who face the same higher prices without the higher salary to match.
What the Data Suggests
Tanzania's headline inflation has remained within the Bank of Tanzania's target band of 3–5% in recent months, benefiting from stable food prices and a relatively contained monetary environment. But the base conditions for a supply-demand imbalance in urban markets are present:
Dar es Salaam housing supply has not kept pace with urban population growth — vacancy rates in affordable rental categories are low
Fuel prices rose 44–49% earlier in 2026, already adding transport cost pressure to urban households
Urban food prices are sensitive to transport cost pass-through from rural producing areas
A TZS 2.42 trillion increase in purchasing power — the equivalent of approximately USD 935 million — is a substantial demand-side injection relative to the size of Tanzania's urban consumer markets
The Opportunity Cost Question
Beyond inflation, the wage bill increase raises a more fundamental question about what else TZS 2.42 trillion could have done.
Consider the comparison within the same budget: the entire capital investment allocation is TZS 2.33 trillion — less than the wage increase alone. The total development budget for roads, energy, water, and productive infrastructure is a fraction of what the government will now spend on staff costs annually.
In an economy where FYDP IV targets 10.5% GDP growth by 2031 — and where the private sector is expected to deliver 70% of USD 183 billion in investment — the composition of public spending matters enormously. Every shilling that goes toward recurrent wages is a shilling that does not go toward the infrastructure, institutions, and investment environment that catalyses private-sector growth.
What Makes This Increase Defensible?
Not all wage bill increases are equal. If the increase reflects genuine recruitment into Tanzania's under-staffed health and education systems — where the doctor-to-patient and teacher-to-pupil ratios remain far below recommended levels — then this spending is a form of human capital investment with measurable long-term returns. A well-staffed health system reduces premature mortality. A well-staffed education system improves labour productivity. These are legitimate developmental expenditures, not waste.
The concern is not that government should never increase its wage bill. The concern is that a 31.4% increase in a single year, without clear public disclosure of how many jobs are being created versus how many existing salaries are being adjusted, makes it impossible to assess whether this is a sound investment or a recurrent cost burden that will compound year after year.
Tanzania Headline Inflation Rate (%) — Trend
Current stability vs potential wage-driven upside pressure
Wage Bill vs Capital Investment (TZS Trillion)
The growing imbalance between recurrent and development spending
Urban Cost of Living Components Most at Risk
Sectors most sensitive to demand-pull from wage increases
⚠ TICGL Warning: The Inflation Pass-Through Risk
Tanzania's 2026/27 budget already carries significant external price pressure: fuel up 44–49%, global food price volatility from ongoing conflict in the Middle East, and a weaker shilling adding cost to imports. A TZS 2.42 trillion demand-side wage injection into this environment raises the risk that headline inflation climbs above the Bank of Tanzania's 5% upper target by Q3/Q4 2026/27 — squeezing the purchasing power of the 80%+ of Tanzanians who are not public servants, at a time when their own incomes remain largely stagnant.
Distributional Impact
Who Benefits From This Increase — and Who Bears the Cost?
The distributional effects of a large wage bill increase are uneven, and not always in the direction the headline figure suggests.
👮
Existing Public Servants
If the increase includes salary adjustments, existing government employees gain directly — higher take-home pay, better allowances, improved living standards. Represents approximately 500,000–600,000 current public servants and their households.
Direct Beneficiary
🎓
Newly Recruited Graduates & Professionals
If significant recruitment occurs — especially in health and education — new graduates gain formal employment, reducing the high-skill unemployment rate. This would be the most economically productive outcome of the increase.
Potential Beneficiary
🏠
Urban Tenants & Renters
Landlords in urban areas — particularly Dar es Salaam, Dodoma, and Mwanza — typically adjust rents upward when public sector salaries rise, anticipating that tenants can now afford more. This directly raises living costs for non-government urban renters.
At Risk
🛒
Urban Food & Market Vendors
In the short run, higher urban demand benefits market vendors and food traders. But if supply cannot keep pace, the same vendors face higher input costs (transport, fuel) while their customers — especially non-public servants — find food costs rising faster than their incomes.
Mixed
👩🌾
Rural Households
Rural areas are largely insulated from wage-driven urban demand pressures. However, if the wage increase crowds out development spending on rural infrastructure, agricultural support, or health facility staffing in rural areas, the rural population loses the productive investment the budget should have funded instead.
Opportunity Cost
🏢
Private Sector Businesses
Higher public sector wages can create upward pressure on private sector salary expectations, particularly for skilled graduates who compare government and private sector packages. This can raise private sector labour costs — beneficial for workers, but adding to the cost of doing business in an already tight-margin environment.
Mixed — Sector Dependent
Strategic Context
Does This Wage Bill Increase Align With FYDP IV? The Uncomfortable Answer
FYDP IV is explicit: the private sector must drive Tanzania's transformation. Government's role is to enable, facilitate, and regulate — not to be the dominant employer and spender. The plan targets reducing the share of informal employment from 94.2% to 81.0% by 2031, which requires private sector job creation at substantial scale, not public sector expansion.
A 31.4% wage bill increase in the first budget of the FYDP IV era sends a mixed signal. It may reflect genuine investment in human capital for frontline public services — entirely defensible and indeed necessary. But if it primarily reflects salary adjustments for existing staff without a commensurate increase in service delivery capacity, it represents a deepening of Tanzania's dependence on government as the primary economic engine at the precise moment the plan demands the opposite shift.
The numbers tell a stark story: in FY2026/27, Tanzania will spend TZS 10.13 trillion on its wage bill and TZS 2.33 trillion on capital investment. For every shilling invested in building the productive assets the economy needs, the government spends more than four shillings maintaining its existing human structure. This ratio needs to reverse — not in this budget alone, but as a clear trend — if FYDP IV's investment-led growth model is to be credible.
"A government that keeps growing its wage bill faster than its productive investment is building a structure that will require ever more tax revenue to sustain — and producing ever less growth to generate it."
— TICGL Economic Research Commentary, June 2026
Tanzania: Wage Bill vs Capital Investment — 5-Year Trajectory (TZS Trillion)
The widening gap between recurrent consumption and productive investment
TICGL Assessment
What Would Make This Increase Defensible — and What Would Make It a Problem
Condition
If Met
If Not Met
Current Evidence
Clear disaggregation of new hires vs salary adjustments
Allows public accountability and FYDP IV tracking
Impossible to assess value for money
Not clearly disclosed
Recruitment concentrated in health, education, agriculture
Human capital investment — high developmental return
Administrative expansion with low productivity return
Partially indicated
Wage bill increase does not grow faster than revenue in future years
Fiscal sustainability maintained
Structural deficit risk in outer years
Requires monitoring
Capital investment restored to ≥35% of total budget within 2 years
FYDP IV investment trajectory preserved
Development spending crowded out year-on-year
Currently declining
Bank of Tanzania monitors wage-driven demand pressure quarterly
Early inflation warning enables monetary response
Price pressures become entrenched
Standard BOT mandate
New hires are deployed and functioning within FY2026/27
Service delivery impact visible to citizens
Ghost worker and deployment delay risk
Implementation dependent
⚠ TICGL Recommendation: Transparency Is the Minimum Standard
The government should publish, within the first quarter of FY2026/27, a clear breakdown of: (1) how many new positions are being created versus how many existing salaries are being adjusted; (2) which ministries and sectors are receiving the new hires; and (3) what service delivery targets are associated with the new recruitment. Without this, neither parliament nor citizens can assess whether TZS 10.13 trillion in annual wages represents a sound investment in public services or a compounding recurrent cost burden.
Muhtasari · Kiswahili
Mshahara wa Watumishi wa Umma Unaongezeka kwa 31.4% — Maana Yake ni Nini?
Muhtasari wa uchambuzi huu kwa wasomaji wa Kiswahili.
💰
Ongezeko Kubwa Zaidi Katika Bajeti Yote
Katika Bajeti ya 2026/27, ongezeko kubwa zaidi la matumizi si kwenye barabara, hospitali, au elimu — bali ni kwenye mishahara ya watumishi wa serikali. Mshahara unaongezeka kutoka TZS trilioni 7.71 hadi TZS trilioni 10.13 — ongezeko la TZS trilioni 2.42, ambalo ni sawa na ongezeko la asilimia 31.4 katika mwaka mmoja tu. Hii ndiyo hatua kubwa zaidi ya bajeti yote ya 2026/27, ikizidi ongezeko lolote katika miundombinu, afya, au elimu.
🤔
Swali Kuu: Ajira Mpya au Nyongeza ya Mshahara kwa Waliopo?
Tatizo kubwa la ongezeko hili ni kwamba hotuba ya bajeti haielezi wazi kama fedha hizi zinaenda kuajiri watu wapya, au kuongeza mishahara ya watumishi waliopo tayari. Tofauti hii ni muhimu sana kiuchumi:
Kama ni ajira mpya: Inaweza kuajiri watumishi kati ya 168,000 hadi 252,000 katika sekta kama afya, elimu, na kilimo — hii ingekuwa uwekezaji mzuri wa rasilimali watu
Kama ni nyongeza ya mshahara kwa waliopo: Watumishi wachache tu wananufaika, lakini pesa nyingi zinaendelea kuwa gharama za kawaida zinazozidi kukua kila mwaka bila kuunda ajira mpya
📈
Je, Hii Itaongeza Gharama za Maisha?
Hapa ndipo wasiwasi mkuu wa TICGL unaonekana. TZS trilioni 2.42 za ziada zinaingia mifukoni mwa watumishi wa serikali ambao wengi wao wanaishi mijini — Dar es Salaam, Dodoma, Mwanza. Pesa hizi mpya zitatumika kununua chakula, kulipa kodi ya nyumba, na bidhaa nyingine. Tatizo ni:
Ugavi wa nyumba za kupanga mijini haujawahi kuendana na mahitaji — kodi itapanda
Mwaka huu tayari mafuta yamepanda kwa asilimia 44–49%, yakiongeza shinikizo la bei
Bei za vyakula mijini zinaathiriwa haraka na ongezeko la gharama za usafirishaji
Watu ambao si watumishi wa serikali — wakulima, wafanyabiashara wadogo, wafanyakazi wa sekta isiyo rasmi — watapanda gharama bila kupanda kipato
Tatizo hili linaitwa demand-pull inflation — pale ambapo pesa nyingi zinaandama bidhaa chache, na bei zinapanda.
⚖️
Tatizo la Uwiano: Mshahara vs Uwekezaji
Katika bajeti hiyo hiyo ya 2026/27, Tanzania inatenga TZS trilioni 2.33 pekee kwa uwekezaji wa miundombinu ya kimwili — barabara, nguvu, maji. Hii ni chini ya ongezeko la mshahara peke yake la TZS trilioni 2.42. Kwa kila shilingi moja inayowekezwa kujenga miundombinu inayozalisha ukuaji, serikali inatumia shilingi zaidi ya nne kulipa watumishi wake. Uwiano huu unahitaji kubadilika kama Tanzania inataka kufikia malengo ya FYDP IV ya ukuaji wa asilimia 10.5 ifikapo 2031.
🔍
Hitimisho la TICGL
Ongezeko la mshahara linaweza kuwa zuri kama linaenda kuajiri wataalam wapya katika hospitali, shule, na mashamba — maeneo ambayo Tanzania ina uhitaji mkubwa wa watumishi. Hilo lingekuwa uwekezaji halisi katika rasilimali watu.
Lakini kama sehemu kubwa ya TZS trilioni 2.42 inaenda kuongeza mishahara ya waliopo tayari bila kuunda ajira mpya za kutosha, basi Tanzania inajiumba tatizo la muda mrefu: gharama za serikali zinaendelea kupanda kila mwaka, lakini uchumi unaozalishwa unaendelea kutokua kwa kasi inayohitajika. Mwananchi wa kawaida — ambaye si mtumishi wa serikali — ndiye atakayehisi mzigo wa ongezeko hili kupitia bei za juu za nyumba, chakula, na bidhaa za kila siku.
Serikali ina wajibu wa kutoa maelezo wazi: ni watumishi wangapi wapya wameajiriwa, wanafanya kazi gani, na watapelekwa wapi? Bila maelezo hayo, haiwezekani kujua kama TZS trilioni 10.13 za mishahara ni uwekezaji mzuri au mzigo unaokua.
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5% Excise Duty on Betting Stakes: What It Means for Tanzania's Betting Industry and Its Youth | TICGL
TICGL Tax & Social Policy Brief · June 2026
A New 5% Excise Duty on Betting Stakes: What It Means for Tanzania's Booming Betting Industry — and the Millions of Young People Who Now Call It Work
Tanzania's FY2026/27 Budget introduces a 5% excise duty on betting stakes across sports betting, casinos, slot machines and virtual games — projected to raise TZS 74.5 billion. TICGL examines what this tax means for an industry that has quietly become Tanzania's largest informal "employer" of young people, and the deeper economic and social questions it raises.
The New Betting Excise Duty: What It Covers and Why
For the first time, Tanzania introduces a tax charged directly on the value of money staked — not just on operator revenue.
In presenting the FY2026/27 revenue measures, the Minister of Finance announced a new 5% excise duty on the value of betting stakes placed through land-based and online sports betting, land-based and online casinos, slot machines, and virtual games.
This is structurally different from the existing Gaming Tax regime, which has historically been levied on Gross Gaming Revenue (GGR) — the difference between stakes received and winnings paid out. The new excise duty applies to the stake itself, meaning every bet placed, win or lose, now carries an additional 5% charge at the point of placement.
The government has stated that the measure is intended to reduce the negative effects associated with gambling — including addiction and declining youth participation in productive economic activity — while also generating revenue. Notably, 10% of the new collection will be allocated to the Gaming Board of Tanzania (GBT) specifically to strengthen regulation and supervision of the industry.
The Budget Speech projects this measure will raise approximately TZS 74.5 billion in additional annual revenue — making it one of the more significant new excise measures in the FY2026/27 tax package, behind only the annual specific excise adjustment, the customs processing fee increase, and the presumptive tax reform.
Old vs New: How Betting Is Taxed
Structural shift from GGR-based to stake-based taxation
The Scale of the Industry
Tanzania's Betting Economy: A Market That Has Quietly Become Massive
Before assessing the impact of a new tax, it is essential to understand just how large — and how embedded — the betting industry has become in Tanzanian society.
Indicator
Figure
Significance
Total regular bettors
~39.5 million (≈56% of adults)
More than half the adult population participates
Active football bettors
~23.7M – 24.9M
60–63% of all bettors — football dominates
Bettors aged 18–35
~74% of total
An overwhelmingly youth-driven market
Male share of bettors
~72%
Strongly skewed toward young men
Urban concentration
~70%
Dar es Salaam, Mwanza, Arusha lead activity
Low-income bettors (under TZS 300,000/month)
Majority of urban bettors
Betting is concentrated among economically vulnerable groups
Mobile/app-based betting
91–94% of bettors
Digital infrastructure makes betting frictionless
Market GGR (2025)
USD 72.41 million
Baseline for growth projections
Market GGR projected (2030)
USD 623 million
Roughly an 8.6x increase over five years
Gaming tax revenue (2024/25)
~TZS 261 billion
Up from TZS 33.6 billion in 2016/17
Estimated sector contribution to GDP
~0.5%
A measurable, growing share of the formal economy
Estimated formal jobs supported
~30,000
Agents, shops, platform staff, marketing
Tanzania Betting Market GGR Growth (USD Million)
2025–2030 projected trajectory
Gaming Tax Revenue to Government (TZS Billion)
Historical trend, 2016/17 – 2024/25
Revenue Impact
What the New Excise Duty Could Actually Generate — and Where It Sits in the Tax Package
At TZS 74.5 billion, the betting excise is a meaningful but not dominant revenue line in the FY2026/27 budget. Its real significance may lie elsewhere.
New Excise Duty vs Other Major FY2026/27 Tax Measures
Revenue ranking (TZS Billion)
Allocation of New Betting Excise Revenue
10% to GBT, balance to consolidated fund
Effective Cost Increase on a TZS 1,000 Stake
Before and after the new excise duty
📊 Reading the Numbers Correctly
A 5% excise on the stake is not the same as a 5% reduction in winnings or a 5% tax on profit. For a bettor who places TZS 1,000, an additional TZS 50 is deducted as excise duty regardless of the outcome of the bet. For high-frequency bettors — particularly the 31% identified in survey data as daily bettors — this is a recurring cost that compounds with every wager placed, independent of whether they win or lose.
The Deeper Question
"This Is My Job": Why So Many Young Tanzanians See Betting as Employment
Any tax measure on betting cannot be assessed in isolation from the labour market realities that have made betting a substitute for formal employment for millions of young people.
The Unemployment Connection
Survey data on Tanzanian bettors shows that 45% cite financial supplementation as their primary motivation for betting — closely correlated with youth unemployment rates estimated at around 26%. Entertainment (30%) and peer influence (25%) follow as secondary motivations, but the dominant driver is economic necessity, not leisure.
For a generation facing limited formal job openings, irregular agricultural incomes, and a large informal economy with thin margins, betting platforms have become something else entirely: a perceived income stream. Some young people place small, frequent bets not for entertainment, but as a recurring activity they treat with the seriousness of a job — checking odds each morning, following teams and leagues as "market research," and tracking wins and losses like income and expenses.
The Reality Behind the Perception
The data tells a sobering story about what this "employment" actually delivers. Survey findings indicate individual bettors face average monthly losses of TZS 50,000–100,000, with a 40% incidence of debt linked to betting activity. Rather than supplementing income, betting for most participants represents a net erosion of already limited household resources — estimated at 1–2% of individual earnings.
At the same time, 31% of bettors report betting daily — a frequency that survey researchers associate with productivity drags estimated at 2–3% nationally, as time and attention that could go toward income-generating work, skills development, or education is redirected toward betting activity.
The Informal "Industry Around the Industry"
Beyond the bettors themselves, betting has created a visible informal economy around it: betting shop agents, SMS and airtime resellers tied to betting platforms, "tip sellers" who sell predictions via social media and messaging groups, and informal odds analysts who build followings online. For many young people in this ecosystem, it genuinely is a source of income — though one entirely dependent on the continued participation (and continued losses) of other bettors.
This creates a structural tension: the same industry that some young people experience as exploitative — eroding their savings through frequent small losses — is, for a smaller number of others, a genuine (if precarious) source of livelihood. Any policy response that simply "cracks down" on betting risks displacing this second group without necessarily helping the first.
Why the New Tax Alone Won't Resolve This
A 5% excise duty on stakes will marginally raise the cost of betting and marginally reduce the frequency or size of bets for some participants — particularly price-sensitive small bettors. But it does not address the underlying driver: a youth unemployment rate of approximately 26% that pushes people toward betting as a coping mechanism in the first place.
If the new tax succeeds only in reducing betting volumes without any corresponding improvement in formal employment opportunities, the most likely outcome is substitution — toward unregulated offshore platforms (which the tax cannot easily reach), informal betting networks, or other forms of risk-seeking income generation that may carry even less consumer protection than the regulated GBT-licensed market.
⚠ TICGL Warning: Taxing the Symptom, Not the Cause
The growth of Tanzania's betting industry from a niche entertainment activity into something approaching a youth employment substitute is, at its core, a labour market story — not a gambling story. A 26% youth unemployment rate, combined with a betting industry that is digitally accessible to 94% of bettors via mobile, has created conditions where betting functions as the path of least resistance for young people seeking any form of income, however unreliable. The 5% excise duty is a reasonable revenue and harm-reduction measure on its own terms. But framing it as a solution to "youth and betting" risks missing the more important policy conversation: what formal economic opportunities exist for the 74% of bettors aged 18–35, and how quickly can they be expanded?
Who Is Affected
Stakeholder Impact: How the New Excise Duty Plays Out Across the Industry
The 5% stake-based excise duty does not affect all participants in the betting ecosystem equally.
🎲
Casual / Occasional Bettor
Small, infrequent bets. The 5% stake cost is noticeable but unlikely to change behaviour significantly — closer to a minor "convenience cost" on entertainment spending.
Modest Impact
📱
Daily / High-Frequency Bettor
Among the 31% who bet daily, the 5% excise compounds across many small stakes. Over a month, this can represent a meaningful addition to existing losses of TZS 50,000–100,000.
Significant Cumulative Cost
🏢
Licensed GBT Operators
Face a structural shift from GGR-based to stake-based taxation alongside the existing tax burden. May see reduced betting volumes if price-sensitive bettors reduce stakes — though historically, betting demand has shown limited elasticity to moderate tax changes.
Adjustment Required
🏛️
Gaming Board of Tanzania (GBT)
Receives 10% of new collections — potentially TZS 7.5 billion — earmarked for regulation and supervision. A meaningful boost to enforcement capacity, including against unlicensed operators.
Direct Beneficiary
👥
Betting Shop Agents & Informal Workers
If the tax reduces overall betting volumes meaningfully, agent commissions and informal income tied to betting activity could decline — affecting those who rely on this as a livelihood.
Indirect Exposure
🌐
Unregulated / Offshore Platforms
Stake-based excise applies to licensed operators within Tanzania's tax jurisdiction. Unlicensed offshore platforms — already a known leakage point — are not directly captured, potentially widening the price gap in their favour.
Relative Advantage Increases
Regional Context
How Tanzania's Approach Compares — and What Else Could Be Done
Tanzania is not alone in grappling with the social cost of a rapidly growing betting market. Neighbouring Kenya offers a useful comparison point.
The Kenyan Reference Point
Kenya passed a Betting Law in August 2025 that went beyond taxation alone — introducing restrictions on betting advertisements during specific daytime and evening hours, and raising minimum betting amounts specifically to reduce access for students and younger users. Tanzanian commentators have pointed to this as an example of a more comprehensive regulatory response, combining fiscal measures with advertising restrictions and access controls.
Tanzania's FY2026/27 approach, by contrast, is primarily fiscal: a stake-based excise duty plus a funding allocation to GBT for enforcement. This is a reasonable starting point, but a narrower toolkit than some regional peers are now deploying.
What a More Comprehensive Approach Could Include
Advertising restrictions during peak youth viewing hours — particularly around football broadcasts, where betting advertisements are heavily concentrated.
Mandatory responsible-gambling tools on licensed platforms — self-exclusion options, deposit limits, and loss-tracking notifications, which GBT's enhanced funding could help enforce.
Coordinated youth employment programmes that address the 26% youth unemployment rate directly — without this, fiscal measures alone treat a labour market problem with a tax instrument.
Financial literacy integration in schools and youth programmes, addressing the "quick money" perception that survey data shows is widespread among young bettors.
The Fiscal Trade-off Tanzania Faces
There is an inherent tension in how government approaches this sector. Gaming tax revenue has grown from TZS 33.6 billion in 2016/17 to roughly TZS 261 billion in 2024/25 — a more than sevenfold increase that has made betting a meaningful and growing contributor to domestic revenue at a time when overall tax-to-GDP remains low and aid is declining.
This creates a structural incentive for government to want the industry to keep growing — even as the same growth is associated with the social costs documented in this analysis: household debt, productivity drags, and a youth population increasingly oriented toward betting as an economic strategy.
The 5% stake-based excise duty, with its 10% GBT allocation, represents an attempt to capture more revenue from this growth while simultaneously funding the regulatory capacity to manage its risks. Whether this balance proves sustainable will depend on whether the GBT allocation translates into meaningful consumer protection — and whether broader youth employment policy keeps pace with a betting market still projected to grow roughly 8.6-fold by 2030.
The Core Tension: Betting Tax Revenue Growth vs Youth Unemployment
Illustrative trend — government revenue benefits from the same conditions driving betting participation
TICGL Outlook
Why Betting Will Likely Face More — Not Less — Taxation in the Coming Years
The 5% excise duty is unlikely to be the government's last word on betting taxation. The underlying fiscal logic points firmly toward further measures.
A Regulator Funded by the Industry It Regulates
One of the more telling details of this reform is the decision to direct 10% of the new excise — an estimated TZS 7.5 billion — specifically to the Gaming Board of Tanzania. This suggests that GBT's existing budget has not been sufficient to keep pace with an industry that has grown roughly sevenfold in tax contribution since 2016/17, let alone an industry projected to grow a further 8.6-fold in market size by 2030.
In effect, government is acknowledging that the regulatory apparatus needed to supervise a market of this scale — licensing, compliance inspection, anti-illegal-operator enforcement, responsible-gambling oversight — has been under-resourced relative to the money now flowing through it. Earmarking a share of new tax revenue for the regulator itself is a strong signal: the state recognises this sector requires materially more oversight capacity than it currently funds, and taxation on the sector itself is viewed as the natural source for that funding.
An Industry With Room to Give More
TICGL's earlier research into the football betting economy specifically — The Football Economy of Tanzania: Unlocking Hidden Value in the Betting Market — found that Tanzania's domestic football competitions alone generate an estimated TZS 251–427 billion in annual betting turnover, with the Kariakoo Derby contributing up to TZS 50.8 billion per season from just two matches. That analysis found that the rights holder of this activity — the Tanzania Football Federation — currently earns TZS zero from any of it.
The broader point that research illustrates is structural: enormous sums move through Tanzania's betting ecosystem relative to what is currently captured in formal revenue — whether by football's own governing bodies or, more relevantly for this analysis, by the state. A 5% excise on stakes is a first formal claim on that turnover by the Treasury. Given that the overall market (GGR of USD 72.41M in 2025, projected to USD 623M by 2030) is forecast to grow far faster than most other sectors of the economy, it represents one of the few tax bases in Tanzania that is structurally guaranteed to expand regardless of broader economic conditions.
The Demographic Engine Behind the Growth
What makes betting different from most consumption taxes is its demographic foundation. Tanzania's population is young and growing, with the 18–35 cohort — already 74% of bettors — expanding in absolute numbers every year. Combined with persistently high youth unemployment (~26%) and continued expansion of mobile money and internet access (already covering 91–94% of bettors), the conditions that have driven betting's growth are not temporary. If anything, they are intensifying: more young people entering adulthood each year, a labour market that has not yet absorbed them, and ever-easier digital access to betting platforms.
From a pure revenue-planning perspective, this makes betting one of the most predictable growth tax bases available to the Treasury — arguably more predictable than agriculture (weather-dependent), mining (commodity-price-dependent), or manufacturing (investment-dependent). A government searching for domestic revenue sources that can reliably expand year-on-year, in a context where Official Development Assistance is falling by over 39%, has strong fiscal incentive to return to this base repeatedly.
What Further Measures Might Look Like
Based on the trajectory observed — and consistent with patterns in other markets — future revenue measures targeting betting could plausibly include: incremental increases to the stake-based excise rate in future budgets (following the same annual-adjustment logic already applied to other excise categories); extension of the gaming tax framework to capture currently unlicensed or offshore platforms, which the current 5% measure does not directly reach; and additional earmarked allocations — beyond the 10% GBT share — toward youth programmes, sports development, or responsible-gambling infrastructure, financed from the same growing base.
For TICGL, the policy question is not whether more betting-related revenue measures will appear — the fiscal logic strongly suggests they will — but whether each successive measure is paired with a genuine improvement in either (a) regulatory protection for the millions of young bettors documented in this analysis, or (b) progress on the youth employment conditions that make betting so central to this demographic in the first place. A tax base that keeps growing because young people have no better economic options is not, ultimately, a sustainable foundation for either fiscal policy or youth welfare — even if it looks attractive on a revenue projection.
📌 TICGL Outlook Summary
Expect betting taxation to remain a recurring feature of future Tanzanian budgets — not as an anomaly, but as one of the few domestic revenue bases that grows in step with the country's youth population and digital adoption. The 5% excise duty and its 10% GBT allocation likely represent the opening move in a longer-term fiscal relationship between government and this sector, not its conclusion.
Untapped Value in Tanzania's Football Betting Economy (TZS Billion/Year)
Domestic TFF competitions turnover vs. current formal capture — based on TICGL's Football Economy research
TICGL Conclusion
A Sound Revenue Measure — But Not, on Its Own, a Youth Policy
The new 5% excise duty on betting stakes is, in isolation, a defensible fiscal measure. It raises a meaningful TZS 74.5 billion, applies a harm-reduction logic by raising the cost of high-frequency betting, and channels 10% of new revenue directly into the regulatory body best placed to address industry risks.
But the measure should be understood for what it is: a tax adjustment on an industry whose explosive growth — from USD 72.41 million in GGR in 2025 toward a projected USD 623 million by 2030 — is itself a symptom of deeper structural conditions. A youth unemployment rate of approximately 26%, combined with near-universal mobile access (94% of bettors use apps), has created an environment where betting functions, for a significant share of young Tanzanians, as a substitute for the formal employment the economy has not yet generated.
Taxing the symptom can fund better management of the symptom — and the GBT allocation is a genuinely positive step in that direction. But it cannot, by itself, change the underlying calculation that leads a 25-year-old with no formal job to treat a betting app as their most accessible economic opportunity. That requires a parallel and sustained focus on the labour market itself — the question TICGL has raised throughout its analysis of the FY2026/27 budget more broadly: is Tanzania creating the conditions for private-sector-led job creation at the pace its youth population requires, or are fiscal interventions like this one being asked to compensate for gaps elsewhere in economic policy?
"A 5% tax on a bet does not change why someone placed it. Until formal employment grows faster than the betting market does, taxation will keep managing the consequences of a problem it cannot solve."
— TICGL Economic Research Commentary, June 2026
Muhtasari kwa Kiswahili
Kodi Mpya ya 5% kwenye Kubeti: Maana Yake kwa Vijana wa Tanzania
Bajeti ya 2026/27 imeleta kodi mpya ya asilimia 5% (excise duty) kwenye kiasi cha fedha kinachowekwa kubeti — iwe kwenye michezo ya kubahatisha ya kisheria mitandaoni au maeneo ya kimaeneo, kasino, mashine za "slot", na michezo ya kidijitali. Kodi hii inatarajiwa kuongeza mapato ya Serikali kwa kiasi cha takriban TZS bilioni 74.5, na asilimia 10 ya mapato hayo mapya itapelekwa kwa Bodi ya Michezo ya Kubahatisha (GBT) kwa ajili ya kuimarisha usimamizi na udhibiti wa sekta hii.
Tofauti na kodi ya zamani inayotegemea faida ya kampuni za kubeti (GGR), kodi hii mpya inatozwa moja kwa moja kwenye kiasi unachoweka bet — ushinde au usishinde. Hii ina maana kwamba mtu anayebeti mara nyingi kila siku atahisi mzigo huu zaidi kuliko anayebeti mara chache.
Tafiti zinaonesha kuwa zaidi ya asilimia 56 ya Watanzania wazima (takriban milioni 39.5) wanashiriki kubeti, na asilimia 74 ya hao ni vijana wenye umri wa miaka 18–35. Sababu kubwa ya vijana wengi kushiriki ni tatizo la ukosefu wa ajira — inakadiriwa kuwa karibu asilimia 26 ya vijana hawana ajira rasmi — na hivyo wengi wanaona kubeti kama "kazi" au njia ya kupata kipato cha haraka.
Lakini takwimu zinaonesha ukweli mwingine: wabeti wengi hupoteza kati ya TZS 50,000 hadi 100,000 kwa mwezi, na asilimia 40 wanajikuta kwenye madeni kutokana na kubeti. Badala ya kuongeza kipato, kwa wengi kubeti kunapunguza kipato chao halisi.
Hitimisho la TICGL: Kodi hii mpya ni hatua nzuri ya kifedha na inaweza kusaidia kupunguza athari za kubeti kupitia fedha zitakazopelekwa GBT. Hata hivyo, kodi pekee haitatui tatizo la msingi — ambalo ni ukosefu wa ajira rasmi kwa vijana. Iwapo Serikali haitaongeza kasi ya kuzalisha ajira halisi za kiuchumi kwa vijana, sekta ya kubeti itaendelea kukua, na vijana wataendelea kuiona kama chaguo lao la kiuchumi — hata kama takwimu zinaonesha kuwa wengi wao wanapoteza fedha zaidi kuliko wanavyopata.
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Presumptive Tax Hike: 3.5% to 4.5% — What It Means for Tanzania's Small Businesses | TICGL
TICGL Tax Policy Brief · June 2026
Presumptive Tax Up From 3.5% to 4.5%: A 28.6% Rate Hike for Small Businesses — Formalization Boost or Informality Trap?
Tanzania's FY2026/27 Budget raises the presumptive tax rate for small businesses while doubling the eligibility threshold to TZS 200 million. TICGL examines what this means for the country's hundreds of thousands of small traders — and whether it pushes more of them toward the informal economy.
Understanding the Presumptive Tax Reform in Tanzania's FY2026/27 Budget
Two changes were made simultaneously to the presumptive tax regime — one that widens it, and one that makes it more expensive.
The presumptive tax system is Tanzania's simplified taxation regime for small businesses — designed to reduce the compliance burden for traders who would otherwise struggle with full income tax bookkeeping requirements. Instead of calculating taxable profit, eligible businesses pay a fixed percentage of their annual turnover.
In the FY2026/27 Budget, the government made two changes to this regime:
1. The Rate Increase
The presumptive tax rate for businesses with turnover between TZS 11 million and TZS 200 million has risen from 3.5% to 4.5% of turnover. In percentage-point terms this looks modest — just one point. But measured as a change in the effective tax burden, it represents a 28.6% increase in what these businesses must pay.
2. The Threshold Expansion
The turnover ceiling for eligibility under the presumptive regime has been raised from TZS 100 million to TZS 200 million — aligning it with the VAT registration threshold. This brings a new tier of medium-small businesses, previously required to file under the full income tax system, into the simplified presumptive regime.
Together, these two measures are projected to generate TZS 186.24 billion in combined additional revenue — TZS 75.11 billion from the rate increase and TZS 111.13 billion from the threshold expansion.
Presumptive Tax Rate: Before vs After
Effective tax burden on eligible turnover
The Cost in Real Terms
What a 28.6% Rate Increase Means in Shillings
Percentage-point changes can understate real impact. Here is what the new rate means for businesses at different turnover levels.
Annual Turnover (TZS)
Old Tax (3.5%)
New Tax (4.5%)
Additional Annual Cost (TZS)
Increase
15,000,000
525,000
675,000
150,000
+28.6%
30,000,000
1,050,000
1,350,000
300,000
+28.6%
50,000,000
1,750,000
2,250,000
500,000
+28.6%
100,000,000
3,500,000
4,500,000
1,000,000
+28.6%
150,000,000 (newly eligible)
N/A — was full income tax
6,750,000
—
New Tier
200,000,000 (new ceiling)
N/A — was full income tax
9,000,000
—
New Tier
⚠ Why This Matters for Margins, Not Just Revenue
Small businesses in retail, food vending, transport, and basic services typically operate on net margins of 5–15%. A business turning over TZS 50 million annually with a 10% net margin earns roughly TZS 5 million in profit. An additional TZS 500,000 in presumptive tax represents 10% of that entire profit — not 1 percentage point. For businesses operating closer to break-even, the increase can consume a much larger share of what little surplus remains.
Does a Higher Tax Burden Push Small Businesses Toward Informality?
This is the question that should sit at the heart of any assessment of this reform — and it cuts both ways.
The Case That It Could Worsen Informality
Tanzania's informal sector is already estimated to account for roughly 70% of total economic activity — one of the highest shares in East Africa. For a trader operating near the margin, the calculation is simple: registering formally now costs more, while operating informally costs nothing in direct tax.
When the cost of formality rises faster than the visible benefits of formality — access to credit, government tenders, legal protection, market access — some businesses will respond not by paying more, but by under-declaring turnover, deregistering, or never registering at all. This is a well-documented response pattern across developing economies when presumptive rates rise without a parallel increase in the perceived value of formalization.
For a business operating in an already fragile economic environment — rising fuel costs, currency pressure, slow consumer demand — a 28.6% increase in a fixed cost (tax owed regardless of actual profit) adds to a growing list of reasons to stay invisible to the tax authority.
The Case That the Threshold Expansion Helps
The doubling of the threshold to TZS 200 million is, in isolation, a positive step. It moves a tier of medium-small businesses out of the complex full income tax system — with its detailed bookkeeping, audit exposure, and compliance costs — and into a simpler, more predictable regime. For businesses in the TZS 100–200 million range, presumptive taxation at 4.5% may still be cheaper and simpler than full income tax compliance, even at the higher rate.
Additionally, the one-year tax holiday for new businesses entering the presumptive regime is a genuine incentive for first-time formalization — though it does nothing for businesses already operating formally and now facing a higher bill.
Why the Net Effect Is Genuinely Uncertain
The honest answer is that this reform pulls in two directions simultaneously:
For newly-eligible businesses (TZS 100–200M turnover): the move into presumptive taxation is likely a net relief compared to full income tax, even at 4.5%.
For existing presumptive taxpayers (TZS 11–100M turnover): the rate increase is a straightforward cost increase with no offsetting benefit — these businesses gain nothing new, they simply pay more.
For unregistered or borderline informal operators: the higher rate raises the perceived cost of entering the formal system at precisely the moment the government wants to attract them in.
This is the structural tension TICGL highlighted in its broader budget analysis: Tanzania's tax-to-GDP ratio remains low not primarily because rates are too low, but because the formal tax base is too narrow. Raising rates on those already inside the net does not address that narrowness — and risks making it worse if it discourages new entrants or pushes marginal existing taxpayers out.
What Would Make This Reform Work
The threshold expansion is the right instrument. The rate increase, applied uniformly, may undercut it. A more calibrated approach — for example, a lower rate for newly-registering businesses during a transition period, alongside visible improvements in what formal registration delivers (faster TIN processing, access to digital lending products tied to tax compliance history, simplified renewal procedures) — would align incentives rather than work against them.
⚠ TICGL Warning: The Formalization Paradox
A tax system can simultaneously have the right design and the wrong timing. Expanding the presumptive threshold to TZS 200 million is a structurally sound move that should encourage formalization. But raising the rate on the same regime, in the same budget, sends a mixed signal to exactly the population the policy is trying to attract: "come into the formal system — but it now costs more than it did yesterday." For an economy where roughly 7 in 10 economic actors already operate outside the tax net, the risk is that this reform reinforces the rational choice to remain informal — not because formalization is undesirable, but because the immediate cost of formality has just gone up while its tangible benefits remain, for many small operators, distant or unclear.
Who Feels This Most
Small Business Profiles: How the Reform Plays Out in Practice
The presumptive tax regime covers a wide range of small enterprises. Here is how different segments are likely affected.
🏪
Small Retail Shop (Duka)
Turnover TZS 30–60 million. Already formally registered. The rate increase is a direct cost increase with no new benefit — a straightforward squeeze on already-thin retail margins.
Net Cost Increase
🍲
Food Vendor / Mama Lishe
Often operates near the TZS 11M lower threshold, frequently informally. The higher rate makes formal registration less attractive at exactly the point the government wants more inclusion.
Informality Incentive Strengthens
🚗
Transport Operator (Taxi/Bajaji Fleet)
Turnover often TZS 80–150 million. Some newly fall under presumptive at the higher threshold — may benefit from simplicity versus full income tax, even at 4.5%.
Mixed — Depends on Prior Regime
💇
Salon, Barbershop, Service Provider
Typically TZS 15–40 million turnover. Largely cash-based and difficult to audit. Higher presumptive rate increases incentive to under-report actual takings.
Compliance Risk Rises
📦
Wholesale / Distribution Trader
Turnover TZS 120–200 million — newly eligible for presumptive regime. Moving from full income tax to 4.5% presumptive is likely a net simplification benefit, even with the higher rate.
Likely Net Benefit
🆕
New Business (Year 1)
Benefits from the one-year income tax holiday — a genuine incentive to register formally from day one, regardless of the new rate that applies from year two onward.
Positive Incentive
Visual Summary
The Reform at a Glance
A consolidated view of the rate change, threshold expansion, and Tanzania's broader formalization challenge.
Presumptive Tax Rate Timeline
Historical and projected rate (%)
Tanzania Economy: Formal vs Informal
Estimated share of economic activity
Eligible Businesses by Turnover Band
Illustrative distribution under new TZS 200M threshold
TICGL Conclusion
A Tax Reform That Could Go Either Way
The presumptive tax changes in the FY2026/27 budget capture, in miniature, the broader tension running through Tanzania's entire tax strategy this year: a genuinely useful structural reform (the threshold expansion) bundled with a rate increase that risks undermining its own objective.
If the threshold expansion succeeds in drawing TZS 100–200 million businesses out of full income tax and into a simpler regime, and if the rate increase does not meaningfully deter new registrations or trigger exits from the formal system, then this reform will have modestly broadened the tax base while raising revenue — a reasonable outcome.
But if the rate increase causes existing presumptive taxpayers to under-declare turnover, or causes borderline informal operators to stay unregistered, the reform could narrow the effective tax base even as the headline rate rises — generating less revenue growth than projected while adding friction to the formalization agenda the government says it wants to advance.
"You cannot tax your way into a larger formal economy. You can only make formality attractive enough that informality becomes the costlier choice. Raising the price of the door at the same time you widen it sends a confusing signal to the people you most need to walk through."
— TICGL Economic Research Commentary, June 2026
What TICGL Recommends Monitoring
TRA registration trends for businesses in the TZS 11–50 million range over the next two quarters — any decline would signal a deterrence effect.
Actual revenue collected from the threshold expansion versus the projected TZS 111.13 billion — a shortfall would suggest under-declaration by newly-eligible businesses.
Uptake of the one-year tax holiday by genuinely new registrations versus existing businesses re-registering under new names.
Whether complementary measures — access to credit, digital payment incentives, simplified renewal — are introduced to make formal status more valuable, not just less avoidable.
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