Tax data analytics & inclusive public finance
Measuring Inclusive Economic Systems with Tax Data
Key metrics for inclusive public finance: how tax data analytics can help governments evaluate economic inclusion, strengthen revenue systems, and improve public finance outcomes.
- Tax Data Analytics
- Inclusive Public Finance
- Tax-to-GDP Ratio
- Domestic Revenue Mobilization
- Economic Inclusion
- Fiscal Transparency
- Developing Economies
Inclusive economic systems ensure that individuals, businesses, and communities participate equitably in economic growth and contribute fairly to public finances. Tax data analytics provides governments with powerful tools to measure inclusion, identify revenue gaps, and design evidence-based policies. This article explores key metrics used to evaluate inclusive public finance systems and demonstrates how tax data can support sustainable economic development in developing economies — covering five dimensions: revenue capacity, economic participation, compliance, equity, and public finance outcomes.
Key insights
- →Tax data serves as a powerful indicator of economic participation and inclusion — reflecting real business activity, income generation, and compliance behaviour across society.
- →The tax-to-GDP ratio remains one of the most widely used measures of domestic revenue mobilization. Global average stood at 17.5% of GDP in 2024 — but low-income countries average just 13.5%, well below the 15% development threshold (IMF WoRLD 2026).
- →Formal sector participation can be assessed through taxpayer registration and filing rates. In Uganda, over 60% of SMEs are either partially compliant or fully non-compliant — reflecting a pattern seen across Sub-Saharan Africa (Uganda Revenue Authority, 2023).
- →Data analytics helps identify underserved regions, sectors, and taxpayer groups — enabling targeted, evidence-based interventions that are far more efficient than blanket enforcement measures.
- →Inclusive public finance systems improve transparency, equity, and fiscal sustainability. World Bank research (2024) shows that moving from 7% to 15% tax-to-GDP is associated with an additional 10 percentage points of cumulative growth over the next decade.
Why measure inclusive economic systems?
Economic growth alone does not guarantee inclusion. A country may experience rising GDP while significant portions of its population remain outside formal economic systems — uncounted, untaxed, and unserved by public institutions.
Governments increasingly seek to answer important questions: Are individuals participating in the formal economy? Are businesses contributing fairly to tax revenues? Which regions remain underserved? Are tax policies supporting equitable growth? Tax data analytics provides measurable indicators that help policymakers answer these questions objectively. As countries pursue the Sustainable Development Goals (SDGs), data-driven approaches to public finance are becoming essential for effective governance and accountability.
Unlike traditional economic indicators, tax data reflects real economic activity, business operations, income generation, and compliance behaviour. A country with rising GDP but stagnant taxpayer registration is likely experiencing growth concentrated among already-formal actors. World Bank research published in July 2024 confirms that crossing the 15% tax-to-GDP threshold is associated with substantially better inclusive growth outcomes — with the prosperity gap (a measure of how far average incomes are from $25/day) reducing by half over ten years.
This makes taxation data not just a revenue management tool, but a foundational instrument for measuring economic inclusion and guiding fiscal policy.
Chart explanation — what each bar means for economic inclusion
OECD average (2024) — 34.1%
The 38 OECD member countries collect about 1 in every 3 dollars of their economy in taxes — funding universal healthcare, pensions, education, and infrastructure. This level enables comprehensive welfare systems and strong economic participation. It is the long-term aspiration benchmark for developing economies.
Latin America & Caribbean — 21.5%
Comfortably above the 15% inclusion threshold, partly due to decade-long VAT modernisation and e-invoicing mandates. Brazil's Nota Fiscal system and Mexico's SAT digital platform are examples of analytics-driven formalization that expanded both the tax base and economic participation.
Global average (2024) — 17.5%
Global tax revenues as a share of GDP increased by about 1.8 percentage points since 2000, reaching 17.5% in 2024. This upward trend reflects gradual digital reform and domestic revenue mobilization efforts — but masks deep inequality between income groups. Low-income countries are being left behind.
Africa average (2022, 33 countries) — 16.0%
Africa's average of 16% barely clears the 15% minimum, and only because higher performers like South Africa (24%) lift the average. Many Sub-Saharan countries collect under 12%, unable to finance social protection, health, or education from domestic revenues alone — the core challenge inclusive metrics must address.
Low-income countries — 13.5%
Below the minimum inclusion threshold, these countries cannot sustainably fund basic public services from domestic revenues. World Bank research (July 2024) shows that moving from this level to 15% is associated with 10 additional percentage points of cumulative growth over ten years and a halving of the prosperity gap. Measuring inclusion begins here.
The 15% inclusive growth threshold — 15.0%
The IMF and World Bank identify 15% as the minimum tax-to-GDP level at which governments can fund productive spending and progressive taxes that reduce inequality. Above it, three channels drive better outcomes: productive spending, progressive taxation, and lower output volatility.
Analytical framework: five dimensions of inclusive public finance
An inclusive public finance framework measures not just how much tax is collected, but who pays it, who benefits from it, and whether the system supports broad-based economic participation. Drawing on the UNDP Tax for SDGs framework and OECD Revenue Statistics 2025, the following five dimensions provide a comprehensive measurement architecture.
A. Revenue capacity
- Tax-to-GDP ratio
- Revenue growth rate
- Tax buoyancy
- Domestic revenue per capita
Measures the government's ability to generate domestic resources to fund public services and development.
B. Economic participation
- Registered taxpayers per 1,000 adults
- Business registration rate
- Active tax filing rate
- SME taxpayer participation
Measures how broadly taxpayers participate in the formal economy. Higher participation indicates greater economic inclusion.
C. Compliance & transparency
- Filing compliance rate
- On-time payment rate
- Audit coverage rate
- Tax gap estimates
Measures how effectively tax systems capture economic activity and reduce revenue leakages.
D. Equity & fairness
- Effective tax rate by income group
- Corporate vs individual tax share
- Regional revenue distribution
- Informal sector share
Measures whether the tax burden is distributed appropriately. Equitable systems promote social cohesion and sustainable growth.
E. Public finance outcomes
- Education spending as % of revenue
- Healthcare spending as % of revenue
- Infrastructure investment ratio
- Social protection coverage
Connects tax collection directly to development outcomes — the ultimate test of an inclusive fiscal system.
Sources: UNDP Tax for SDGs Initiative · OECD Revenue Statistics 2025 · IMF WoRLD Database 2026
Inclusive public finance analytics workflow
- Tax data sources
- Revenue metrics
- Inclusion metrics
- Analytics insights
- Policy decisions
- Development outcomes
Key metrics for measuring economic inclusion
The following eight metrics form the core of a tax-data-driven inclusion measurement dashboard. Each is grounded in internationally recognised frameworks from the IMF, World Bank, OECD, and ICTD, and is directly derivable from standard taxpayer administrative data.
| Metric | Purpose | Formula / measure | Benchmark |
|---|---|---|---|
| Tax-to-GDP ratio | Fiscal capacity | Tax revenue ÷ GDP × 100 | 15% minimum (IMF/World Bank) |
| Filing compliance rate | Transparency | Returns filed ÷ returns due × 100 | >70% target (OECD, 2024) |
| SME participation rate | Business inclusion | Registered SMEs ÷ estimated SMEs × 100 | Context-specific; rising = good |
| Geographic inclusion score | Regional equity | Tax filing rate by region ÷ national average | Score ≥ 0.8 = good coverage |
| Formalization index | Economic participation | Registered taxpayers ÷ estimated eligible taxpayers | Rising trend = positive |
| Revenue concentration ratio | Fiscal risk | Top 10% taxpayers' share of total revenue | <60% preferred (IMF guidance) |
| Tax buoyancy | Revenue elasticity | % Δ tax revenue ÷ % Δ GDP | >1.0 = elastic system |
| Social protection coverage | Public finance outcome | Beneficiaries ÷ eligible population × 100 | SDG target: universal coverage |
Chart explanation — the inclusion gap, metric by metric
Tax-to-GDP ratio — the headline gap (13.5% vs 34.1%)
The 20.6 percentage point gap between low-income countries and the OECD average represents the single largest quantifiable indicator of fiscal exclusion. Closing even half this gap would generate hundreds of billions in annual revenue for developing countries collectively — without raising tax rates, simply by broadening the base and improving compliance.
Filing compliance rate in LICs — ~48%
A compliance rate below 50% means more than half of registered taxpayers either don't file returns or file late. This reflects both weak enforcement capacity and systemic barriers: complex filing processes, limited digital infrastructure, and poor taxpayer services. Analytics can identify non-filers systematically and prioritise outreach.
Filing compliance rate in OECD — ~87%
OECD countries achieve ~87% compliance rates through pre-filled returns, digital filing, real-time data matching with employer records, and proportionate enforcement. These tools are increasingly available to developing countries through cloud-based tax administration platforms at far lower cost than legacy systems.
SME formal participation in LICs — ~35%
In many low-income countries, fewer than 35% of estimated small and medium enterprises are formally registered for tax purposes. In Uganda, over 60% of SMEs are partially or fully non-compliant (Uganda Revenue Authority, 2023). The informal economy in many African countries represents 30–85% of all economic units (IMF, 2024) — enormous untapped fiscal potential.
Social protection coverage in OECD — ~84%
High social protection coverage is both a driver and an indicator of inclusive public finance. When governments collect sufficient revenue equitably, they can fund universal social protection. At 84% coverage, OECD countries demonstrate that strong tax systems — not aid or debt — are the foundation of inclusive economic security.
Implications for governments and development institutions
The ability to measure inclusion using tax data creates significant practical opportunities for governments and international development institutions alike. Analytics moves tax administration from a backward-looking compliance function to a forward-looking governance tool.
For governments — what tax analytics enables
Evidence-based policymaking
When governments can quantify which sectors, regions, and taxpayer groups are underparticipating, they can design targeted interventions rather than blanket measures. Analytics replaces intuition with data.
Proactive revenue forecasting and fiscal planning
Tracking inclusion metrics over time enables governments to project future revenue performance more accurately, prepare better budgets, and reduce reliance on emergency supplementary funding or debt.
Targeted compliance management
Instead of resource-intensive audits of all taxpayers, governments can prioritise high-risk, low-compliance segments identified through data analytics — reducing administrative costs while improving enforcement yield.
Geographic equity and regional development
Geographic inclusion scores reveal regional disparities in taxpayer density and revenue contribution. This data can guide investment decisions for digital infrastructure, taxpayer service offices, and SME support in underserved areas.
Inclusive economic development
By tracking the formalization index and SME participation rate over time, governments can measure whether economic development is actually reaching informal sector actors — the key test of inclusive growth.
SDG monitoring and reporting
Tax data metrics directly support reporting on SDG 17 (domestic resource mobilization), SDG 10 (reduced inequalities), and SDG 16 (strong institutions), connecting fiscal performance to development accountability frameworks.
For international development organisations
Assessing fiscal sustainability of partner countries
Development partners can use the five-dimension framework to assess whether a country's fiscal system is on a sustainable trajectory before committing budget support or concessional loans.
Monitoring programme effectiveness
Tax inclusion metrics provide quantifiable indicators to evaluate the impact of tax reform programmes, capacity building assistance, and domestic revenue mobilization initiatives funded by international organizations.
Evaluating governance reforms
Changes in filing compliance rates, audit coverage, and revenue concentration ratios provide early signals of whether governance reforms are translating into improved institutional performance.
Supporting domestic revenue mobilization
Organizations like the IMF, World Bank, UNDP, and OECD can use these metrics to target technical assistance where the inclusion gap is largest and the development impact of improved revenue performance is highest.
Implementation challenges
Data availability and quality
Many low-income countries lack reliable historical taxpayer data series. Incomplete registries, inconsistent classification, and paper-based records must be digitised and standardised before analytics can be applied.
Informal sector measurement
By definition, informal sector actors are outside formal tax data. Complementary data sources — mobile money flows, satellite night-light data, consumption surveys — can partially compensate but require methodological investment.
Analytical capacity and skills
Measuring inclusion metrics requires data scientists, economists, and tax analysts working together within revenue authorities. This capacity is scarce in most low-income countries and must be built through sustained investment.
Inter-agency data integration
Effective inclusion measurement requires linking tax data with social protection registries, business registration databases, and census data. Political and institutional barriers to data sharing are often the biggest obstacle.
Equity risks in algorithmic approaches
Analytics-driven compliance targeting must be carefully designed to avoid systematically over-burdening vulnerable small businesses or marginalised communities. Algorithmic bias in risk-scoring systems is a documented risk that requires ongoing audit and governance.
Authenticated data sources and datasets
| Source | Purpose | Publisher |
|---|---|---|
| World Bank Tax Revenue Indicators | Country-wise tax revenue as % of GDP — downloadable historical series for 195 countries | World Bank Open Data |
| IMF WoRLD Database 2026 | 195-country longitudinal tax and non-tax revenue data; global avg 17.5% GDP in 2024 | IMF Fiscal Affairs, Mar 2026 |
| OECD Revenue Statistics 2025 | Tax-to-GDP ratios across OECD and global economies; OECD avg 34.1% in 2024 | OECD, Dec 2025 |
| OECD Global Revenue Statistics Database | Harmonised tax revenue data for 141 economies from 1990 onwards; 63 tax types | OECD, 2025 |
| ICTD/UNU-WIDER Government Revenue Dataset (GRD) 2025 | Most complete cross-country revenue dataset including developing countries; downloadable | ICTD / UNU-WIDER, Nov 2025 |
| UNDP Tax for SDGs Initiative | Public finance and SDG alignment framework; inclusive governance resources | UNDP |
| World Bank 'Taxing for Growth' (2024) | Research on 15% tax-to-GDP threshold and inclusive growth — 10pp cumulative growth finding | World Bank, July 2024 |
| IMF Building Tax Capacity in Developing Countries (2023) | Holistic framework for tax system modernisation; compliance and capacity indicators | IMF, Sep 2023 |
| IMF Revenue Mobilization in Developing Countries (2024) | Country-level analysis of tax potential, informal economy, and compliance gaps | IMF Staff Country Reports, 2024 |
| OECD Corporate Tax Statistics 2024 | Corporate tax revenue share (16% of total tax revenues globally in 2021); MNE data | OECD, Jul 2024 |
Conclusion
Tax data analytics offers a practical and measurable framework for evaluating inclusive economic systems. By monitoring key metrics such as tax participation, compliance, revenue capacity, geographic equity, and SME formalization, governments can move beyond aggregate GDP statistics to understand how economic growth is actually being distributed across society.
The evidence is compelling: World Bank research (July 2024) shows crossing the 15% tax-to-GDP threshold generates transformational inclusive growth outcomes. The IMF's WoRLD Database 2026 confirms that global tax revenues are on a slow upward trajectory — but low-income countries risk being left behind unless they can rapidly modernise tax administration and expand formal sector participation. The OECD Global Revenue Statistics Database and the ICTD Government Revenue Dataset provide the foundational data infrastructure for governments to begin measuring inclusion systematically today.
Stronger tax data systems do not only improve revenue collection. They build the institutional knowledge, transparency, and accountability that underpin equitable and sustainable public finance. The future of inclusive development depends on governments that can not only collect taxes — but measure, explain, and improve who they collect from and what those revenues deliver.
© 2026 Maitras.ai Research Desk · All statistics sourced from publicly available institutional databases as of June 2026.
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