Education Grants and Targeted Funding: How Countries Support Disadvantaged Schools

Education systems rarely distribute every dollar in equal amounts because equal funding does not reflect unequal educational costs. A school serving many low-income households may need extra teaching time, language support, attendance services, specialist staff, transport, meals, or smaller classes before its pupils receive learning opportunities comparable with those elsewhere. Countries address this through weighted formulas, per-pupil premiums, area-based programmes, categorical grants, and direct staffing. The design varies, but the central fiscal question remains the same: how can public money follow educational need without turning disadvantage into a permanent label?

The scale of the problem is visible in international assessment data. In PISA 2022, socio-economically advantaged pupils scored 93 points above disadvantaged pupils in mathematics across OECD countries. Forty-seven percent of disadvantaged pupils performed below Level 2, compared with 14% of advantaged pupils; the former group was seven times more likely to fall below that baseline.^[a] These figures do not prove that finance alone determines achievement. They do show why funding systems often treat student need, school context, and the cost of service delivery as budget variables.

Why Disadvantaged Schools Cost More to Operate

Disadvantage affects school costs through several channels. Pupils may arrive with less access to early learning, books, digital devices, quiet study space, stable housing, health care, or private tutoring. Some schools must devote more staff time to foundational literacy, family communication, attendance, and transitions between services. Remote schools face higher transport and recruitment costs, while small schools cannot spread fixed expenses across a large enrolment. A funding formula therefore needs to distinguish household disadvantage from the extra cost of running a particular school.

Worldwide spending patterns add another constraint. The World Bank and UNESCO reported in Education Finance Watch 2024 that global education spending had risen over the preceding decade, yet spending per child had stagnated or fallen, especially in lower-income systems with growing school-age populations. Education’s share of total development aid also declined from 9.3% in 2019 to 7.6% in 2022.^[b] Where the base budget is already thin, a small equity grant can merely redistribute scarcity. Targeting works best when every school first has enough to deliver the ordinary curriculum.

The Three Layers of an Equity Allocation

1. Base entitlement: a standard amount for each pupil, often adjusted by age, grade, programme, or expected instructional cost.
2. Needs weights: extra amounts for poverty, disability, language-learning needs, care status, low prior attainment, or another verified characteristic.
3. School-cost adjustments: additions for remoteness, sparse enrolment, small scale, high local wages, buildings, transport, or unusually concentrated need.

OECD analysis groups formula variables in much the same way: pupil and grade counts, needs, curriculum or programme features, and school characteristics. Formula funding can improve transparency and lower administrative cost, but simplicity and sensitivity pull in opposite directions. A formula with too few variables misses real costs; one with dozens of indicators becomes hard to audit and predict.^[c]

Main Funding Models Used Across Countries

Most countries combine these models. A pupil-level weight offers precision, while a concentration factor recognises that ten eligible pupils spread across ten schools do not create the same operational demands as 100 eligible pupils in one school. Area programmes can stabilise staffing and shared services. Categorical grants protect politically or educationally defined purposes, although they often require separate applications and reports. OECD guidance therefore supports using both main allocation mechanisms and targeted distributions, while warning about overlap and excessive administrative work.^[d]

How Need Is Identified

The indicator chosen for disadvantage shapes who receives money. Some systems use eligibility for free meals or social benefits. Others use household income, parental education and occupation, child-protection status, neighbourhood measures, prior achievement, or a statistical index drawing on several administrative records. No proxy captures educational need perfectly. Income changes quickly; neighbourhood averages can hide individual hardship; test scores may reward low performance with extra funds; and application-based benefits can undercount eligible families who do not register.

Modern systems often use multi-year eligibility or continuous indices to reduce volatility. They also apply separate weights for disability, language, rurality, and school size rather than treating every barrier as poverty. This matters because the same pupil can generate several costs at once. A low-income pupil learning the language of instruction in a remote small school is not represented accurately by a single binary flag.

Country Approaches Compared

United States: Four Formulas Inside Title I

Title I, Part A is the largest federal programme aimed at schools serving pupils from low-income families. It does not send one flat amount per eligible child. The federal allocation combines Basic Grants, Concentration Grants, Targeted Grants, and Education Finance Incentive Grants. The formulas use annually updated Census poverty estimates, state education costs, state fiscal effort, and the degree of spending equalisation among districts. Targeted Grants place greater weight on districts with higher numbers or shares of formula children, while the incentive formula considers whether a state supports education relative to its wealth and distributes spending evenly.

The federal appropriation for fiscal year 2025 was $18.407 billion, with about $18.194 billion awarded to states before state-level reservations and adjustments. Districts must direct funds toward schools with the highest proportions of children from low-income families. A school where at least 40% of enrolment comes from low-income families may operate a schoolwide programme rather than limiting services to individually identified pupils.^[e] This design combines national redistribution with state and district decisions, but the route from federal formula to school budget is complex and can make the final per-pupil amount difficult for the public to trace.

England: A Visible Per-Pupil Premium

England’s Pupil Premium attaches a clear annual amount to eligibility. For 2026–2027, a pupil who currently receives free school meals or received them during the previous six years attracts approximately $2,049 at primary level or $1,454 at secondary level. A child previously looked after by a public authority attracts about $3,556. These dollar values convert the official pound rates using the European Central Bank reference rates of 26 June 2026. Schools receive the grant, while funding for children currently in care is managed through local authorities.

The premium is not a personal account that must be spent only on the named pupil. Schools may finance whole-class teaching, targeted tutoring, attendance work, or wellbeing support when eligible pupils are expected to benefit. They must use an approved menu centred on high-quality teaching, targeted academic support, and barriers beyond the classroom, and publish an annual strategy statement.^[f] Multi-year “Ever 6” eligibility reduces abrupt losses when family income improves, although free-meal registration remains an indirect measure of need.

Australia: Base Funding with Six Loadings

Australia’s Schooling Resource Standard estimates the total recurrent public funding a school needs. In 2026, the base amounts are approximately $10,001 per primary pupil and $12,568 per secondary pupil after converting Australian dollars at the Reserve Bank of Australia’s 26 June 2026 rate. Up to six loadings are added: disability, First Nations status, socio-educational disadvantage, low English proficiency, school size, and school location.

The socio-educational loading uses the proportion of pupils in the lowest two quartiles of an index based on parental education and occupation. The maximum weight reaches 50% of the base amount for pupils in the lowest quartile and 37.5% for the next quartile. For 2026, the Commonwealth estimated about $2.14 billion for this loading alone. A pupil may attract more than one loading, while small and remote schools receive separate adjustments.^[g] This layered design distinguishes individual disadvantage from higher delivery costs, though Commonwealth and state funding shares make the full calculation more difficult to explain.

The Better and Fairer Schools Agreement for 2025–2034 raises the Commonwealth share for government schools to 25% of the resource standard, with states and territories expected to maintain at least 75%. The Northern Territory follows a separate path toward a 40% Commonwealth share from 2029. The agreement also removes the earlier allowance that counted some indirect expenses toward the funding share.^[h] Targeted loadings only deliver their intended value when the combined base contribution reaches the stated resource level.

New Zealand: Replacing Deciles with an Equity Index

New Zealand moved from broad school deciles to an Equity Index designed to estimate the extent to which pupils face socio-economic barriers to educational achievement. The index draws on administrative data and is recalculated each year. State and state-integrated schools above the threshold receive equity funding according to enrolment multiplied by the rate attached to the school’s index value.^[i]

The shift illustrates an important statistical choice. A decile places schools into ten wide bands, so schools near a boundary may receive noticeably different treatment despite similar need. A continuous index permits finer allocation and removes a publicly visible decile label that was often mistaken for a measure of school quality. Annual recalculation improves responsiveness, but it also makes budget stability and clear data governance essential. Schools need advance notice, transition protection, and a way to query errors without exposing private household information.

France: Networks, Staffing, and Smaller Classes

France targets resources geographically through Priority Education Networks. REP serves areas with notable social need, while REP+ covers the highest concentrations. In the 2023 school year, the official map contained 1,093 networks, 1,093 lower-secondary schools, and 6,595 primary schools, serving about 1.67 million pupils, or 20.3% of pupils in the first and second levels. REP+ teachers receive protected time for collaboration and training; early primary classes in priority schools have been reduced to around 12 pupils.^[j]

This model supplies resources rather than only cash. It links primary schools to a local lower-secondary school, supports professional learning, and makes staff conditions part of the equity policy. A 2026 ministry study found that, after accounting for starting level and the social-position index, pupils in priority education generally made greater progress during the first two primary years. For REP+ schools outside overseas departments and regions, first-year gains relative to comparable pupils outside priority education were reported at 13% of a score standard deviation in mathematics and 5% in French.^[k] The result supports targeted class-size and staffing measures, while the remaining achievement gaps show that a network designation is not a complete remedy.

Chile: Funding Tied to a School Improvement Plan

Chile’s Preferential School Subsidy, known as SEP, pays an additional subsidy for priority pupils and also recognises preferential pupils and concentrations of need. Participating public and government-subsidised private schools enter a four-year agreement. Their operators must prepare and execute a School Improvement Plan, set achievement goals, report spending publicly, and protect priority pupils from compulsory charges.

The Ministry of Education states that all SEP resources must support the improvement plan; they are not unrestricted funds. Permitted areas include curriculum management, school leadership, school climate, and resource management.^[l] This creates a tight link between funding and planning. It can also raise compliance costs, particularly when schools must document activities across several spending categories. The policy lesson is not that unrestricted or restricted funding always works better. It is that the degree of restriction should match administrative capacity and the clarity of the intended service.

A Provincial Example from Canada

Canada does not operate one national school-funding formula because provinces and territories hold primary responsibility for education. Ontario’s 2025–2026 Core Education Funding illustrates the provincial scale: approximately $21.36 billion after currency conversion, with projected average funding of about $10,264 per pupil. Its major funding pillars cover classroom staffing, learning resources, special education, facilities, transport, and administration.^[m] Needs-based allocations sit within this broader provincial budget rather than a single national poverty grant.

This decentralisation permits formulas to reflect regional costs, language rights, rural geography, and local governance. It also makes cross-country tables easy to misread: a Canadian provincial grant, an American federal supplement, and an English school-level premium occupy different layers of public finance. Comparable analysis must identify who raises the money, who calculates entitlement, who receives it, and whether the published amount includes the base budget.

What Schools Can Spend the Money On

Targeted grants normally fund one or more of three spending groups. The first is instructional quality: teacher development, experienced staff, curriculum materials, coaching, and protected planning time. The second is targeted academic support, including small-group instruction, tutoring, language teaching, and additional learning time. The third addresses access to learning through attendance services, counselling, family liaison, transport, meals, devices, or health-related support.

Schools need some discretion because the binding constraint differs by place. A rural school may need transport and staff housing; an urban school may need language specialists; another may have adequate staffing but persistent absence. Yet unrestricted money can become indistinguishable from the general budget. England responds with a permitted menu and public strategy statements. Chile requires a formal improvement plan. France assigns staff time and class-size resources directly. Each approach trades local flexibility against confidence that the additional money remains additional.

Evidence use matters at this stage. A 2025 review of 1,255 English Pupil Premium statements found that schools most often identified literacy, attendance, and social, emotional, and mental-health needs. Spending leaned toward targeted academic support and teaching quality; staff training and tuition appeared frequently, and two-thirds of schools cited at least one external programme.^[n] The pattern shows why a grant label alone says little about delivery. The chosen intervention, staffing capacity, timetable, and implementation quality determine what pupils experience.

Technical Choices That Determine Who Benefits

Individual Need or School Concentration

An individual weight directs money wherever an eligible pupil enrols. That supports portability and reduces incentives to treat a whole neighbourhood as uniformly disadvantaged. A concentration weight recognises non-linear costs: schools with many pupils needing additional support may require an attendance team, several specialists, or a redesigned timetable rather than isolated interventions. A balanced formula often includes both. The United States uses concentration and targeted formulas; Australia increases its socio-educational loading with the share of pupils in lower index quartiles.

Thresholds or Continuous Weights

A threshold is easy to explain but creates a cliff. A school at 39.9% eligibility may receive less than one at 40%, although their pupils are nearly identical. A continuous scale changes funding gradually and can better mirror need. It requires reliable data and a published calculation. New Zealand’s index and Australia’s percentage loadings follow this more graduated logic, while programme rules such as the American 40% schoolwide threshold still use clear cut-offs for operational permissions.

Current Data or Multi-Year Averages

Current-year data respond quickly but can make budgets unstable. Multi-year averages or extended eligibility protect staffing plans when a family’s status changes, enrolment moves, or data arrive late. England’s six-year free-meal window is one solution. Another is a funding floor that limits annual losses. The cost is slower retargeting: money may continue to follow pupils or schools after measured need falls. Systems need both responsiveness and a predictable transition rule.

Additive or Exclusive Weights

If weights are additive, one pupil can attract poverty, disability, language, and remoteness funding. This mirrors overlapping costs but may concentrate large amounts on a small group. Exclusive categories simplify the calculation but can understate need. A middle course caps the total weight or distinguishes services already financed elsewhere. The technical question is whether two indicators represent two costs or merely measure the same barrier twice.

Accountability Without Excess Paperwork

Accountability should answer three separate questions: Did the intended school receive the amount generated by its pupils? Was the money used for an eligible educational purpose? Did the supported activity improve attendance, learning, progression, or another defined outcome? Financial audit can answer the first two. It cannot establish educational impact by itself.

A usable reporting system therefore connects allocation, activity, reach, and outcome. It shows the formula calculation; identifies the funded service; records how many pupils received it and for how long; and tracks a small set of measures over time. Public reporting should use aggregated data so that no child can be identified. Schools also need comparison groups or baseline trends where feasible, because year-to-year changes may reflect cohort differences, assessment changes, or wider economic conditions.

• Allocation transparency: publish the base amount, each weight, data year, and transition adjustment.
• Spending traceability: connect expenditure to a limited set of approved purposes without requiring a separate application for every minor activity.
• Implementation evidence: report staffing, pupil reach, dosage, attendance, and delivery fidelity before judging outcomes.
• Outcome evidence: examine attainment, progress, absence, completion, and school climate using disaggregated but privacy-protected data.
• Review cycle: revise indicators and weights on a known schedule, with independent technical review and transitional protection.

Why More Targeted Money May Not Close the Gap

An equity grant can fail even when its formula identifies the right schools. First, the grant may be too small relative to the resource gap. Second, general funding may fall as targeted funding rises, leaving no net addition. Third, schools may struggle to recruit qualified staff, so an entitlement on paper does not become instruction. Fourth, fragmented grants may finance short projects that end before practice changes. Fifth, residential and school segregation can concentrate need faster than weights compensate for it.

Outcome measures also require care. A narrower achievement gap can arise because disadvantaged pupils improve, because advantaged pupils decline, or both. OECD data show that the average socio-economic mathematics gap widened by seven points between 2018 and 2022, while performance declined for both groups and fell more sharply among disadvantaged pupils.^[o] Equity monitoring should report the level and direction of performance for each group, not only the distance between them.

The Hidden Role of Administrative Capacity

Application grants tend to favour schools that can write proposals, collect evidence, meet deadlines, and manage procurement. Those capacities are often weakest where need is greatest. Formula grants reduce this selection effect by allocating money automatically, but they still depend on accurate enrolment, benefit, disability, language, and location data. Automatic entitlement, simple reporting, shared procurement, and technical support can be equity measures in their own right.

Funding should also arrive early enough to shape staffing. A grant confirmed after the school year begins may be spent on short-term materials because permanent recruitment is no longer possible. Multi-year indicative budgets let schools commission services, retain specialists, and evaluate a sustained intervention. The budget calendar, often absent from public comparisons, can matter as much as the nominal amount.

A Stronger Design for Targeted School Funding

Across the country examples, the most defensible design begins with an adequate base amount, then adds a small number of independently justified weights. Poverty or socio-economic disadvantage should be measured with more than one signal where data permit. Concentration, disability, language, remoteness, and school size should remain distinct when they create distinct costs. The calculation should use recent data but smooth sudden losses over several years.

The allocation should be automatic wherever possible, with an appeal route for incorrect data and a separate exceptional-needs process for cases no formula can anticipate. Schools should know their provisional budgets before staffing decisions. Public tables should show how each amount was derived. Spending rules should protect the purpose of the grant while allowing schools to choose from evidence-supported activities that match diagnosed needs.

Evaluation then needs two levels. National or provincial analysis should test whether the formula changes resource distribution and group outcomes. School-level review should test whether the chosen service reached pupils and was delivered as planned. Neither level should expect one annual test score to settle the question. Attendance, literacy, mathematics, progression, completion, staff stability, and access to specialist support together provide a more informative record.

Sources and Data Notes

Dollar conversions for non-US figures use official reference rates published for 26 June 2026: one euro equalled $1.1401 and £0.86253, while one Australian dollar equalled $0.6894 and NZ$1.2208. Amounts are rounded and provided only to support comparison.^[p][q]

1. [a] The state of learning and equity in education in 2022: PISA 2022 Results (Volume I) — OECD measures of socio-economic gaps and low performance.
2. [b] Education Finance Watch 2024 — World Bank and UNESCO findings on education spending, aid, efficiency, and equity.
3. [c] School Funding Formulas — OECD classification and assessment of formula variables.
4. [d] Equity and Inclusion in Education — OECD analysis of main allocations, targeted support, and administrative risks.
5. [e] Title I, Part A: Improving Basic Programs Operated by Local Educational Agencies — US Department of Education formulas, eligibility rules, and fiscal year 2025 funding.
6. [f] Pupil premium: overview — England’s 2026–2027 eligibility, rates, permitted uses, and payment structure.
7. [g] Schooling Resource Standard — Australian base amounts, six loadings, weights, and 2026 estimates.
8. [h] The Better and Fairer Schools Agreement (2025-2034) — Australian Commonwealth and state funding shares.
9. [i] Equity funding — New Zealand eligibility and annual Equity Index calculation.
10. [j] La politique de l’éducation prioritaire : les réseaux d’éducation prioritaire REP et REP + — French Ministry of Education network counts, enrolment, staffing conditions, and class organisation.
11. [k] Comment progressent les élèves de l’éducation prioritaire au cours de l’école élémentaire ? — 2026 French ministry analysis of pupil progress in priority education.
12. [l] Uso de Recursos SEP — Chilean Ministry of Education rules for use of Preferential School Subsidy resources.
13. [m] Published plans and annual reports 2025–2026: Ministry of Education — Ontario’s core funding total and projected per-pupil allocation.
14. [n] Pupil Premium Statement Research (2024/25 Academic Year) — analysis of needs, spending choices, and evidence cited by English schools.
15. [o] Changes in performance and equity in education between 2018 and 2022: PISA 2022 Results (Volume I) — OECD trend data for advantaged and disadvantaged pupils.
16. [p] Euro foreign exchange reference rates — official euro, US dollar, and pound reference rates for 26 June 2026.
17. [q] Exchange Rates — Reserve Bank of Australia rates used for Australian, New Zealand, and Canadian dollar conversions.