What does India need to do to achieve its development vision for 2047?

India’s Vision 2047 is often framed as a race to high-income status. State-level evidence shows that converting growth into health, education and human capability is the harder and more consequential task.

India, home to a sixth of the world’s population, has set itself the goal of becoming a ‘developed’ country by 2047 – the centenary of its independence. But progress towards this ambitious target, known as ‘Vision 2047’, highlights sharp contrasts. India is now the world’s sixth-largest economy. Its human development index (HDI) score, though, was 0.685 in 2023, placing it 130^th out of 193 countries and leaving it in the ‘medium’ category for human development.

Even so, official policy discussions increasingly treat Vision 2047 as a growth project centred on achieving high-income status. The World Bank's 2024 India country economic memorandum adopts a similar emphasis on growth, investment, and productivity reform.

Such framings leave a harder question unanswered. By 2047, will India merely be richer, or will it also have converted that income into better health, education, and living standards associated with very high human development?

What about India’s recent economic growth and human development?

Research on human development has long shown that countries can grow richer without making equivalent progress in life expectancy, schooling, or living standards (United Nations Development Programme, UNDP, 2010; Boozer et al, 2003).

India’s HDI trajectory provides an example of this scenario. Produced by the UNDP, HDI measures average achievement across three dimensions: a long and healthy life; access to knowledge; and a decent standard of living.

Figure 1 traces India’s HDI performance since 1990. The headline story is a gradual improvement. But disaggregating the index into its constituent parts (through the dropdown menu) shows that progress has been uneven across dimensions. Gross national income (GNI) per capita has accelerated more sharply, particularly since the early 2000s, while gains in health and education standards have been more gradual.

This divergence is the central problem for Vision 2047. Income growth alone does not deliver human development, and across India's states, the gap between the two is wide.

Figure 1. Trend in India's Human Development Index score and its constituent indicators, 1990-2023

Source: UNDP Human Development Report Office.

How are different Indian states performing?

The national picture conceals wide variation across states. Figure 2 follows state-level trajectories between 1990 and 2022, plotting GNI per capita against state HDI scores over time.

The broad movement is upwards. Nearly every state has become richer and improved its HDI score since 1990. But their paths are far from identical. Some move steadily towards the high-income, high-HDI quadrant (top-right), while others remain below both thresholds.

Jammu and Kashmir, Kerala, Mizoram, and Sikkim have achieved high human development without being among India’s richest states. Gujarat and Rajasthan illustrate a different problem: both are close to the high-income threshold but remain below the high-HDI line. India has many development paths – and they diverge sharply.

Figure 2. State-level HDI trajectories, 1990-2022

Source: Global Data Lab, Radboud University.
Notes: Quadrants: HDI split at 0.7 (high development) | GNI split at 9.5 as per World Bank high-income country classification

Which states are getting more from their income?

The income-development link comes into sharper focus when viewed in cross-section. Figure 3 plots state HDI against GNI per capita in 2022. The association is strong: richer states generally have higher HDI scores. The fitted line serves as a benchmark. What matters for policy is the distance from that line. States above it achieve more human development than their income level would predict. States below it achieve less.

Kerala and Manipur exceed the income-predicted benchmark, while Andhra Pradesh and Gujarat sit below it. This shifts the question from whether income matters (it does) to why some states are more effective at ‘converting’ income into human development than others.

Figure 3. The Income Gradient: State-level HDI vs. log GNI per capita, India, 2022

Source: Author's calculations based on data from the Global Data Lab, Radboud University.
Notes: Observed HDI and fitted relationship with log GNI per capita.

The gap between what a state achieves and what its income would predict is a measure of what economists call income-adjusted performance. Figure 4 visualises that distance, ranking states by the gap between their actual HDI and the level predicted by their income.

A positive score means that a state is achieving more human development than its income would suggest; a negative score means that it is achieving less. This reframes the problem as one of conversion efficiency, meaning which states are making their income work harder for human development, and which are not.

Kerala, Manipur, and Sikkim emerge as overperformers, while Andhra Pradesh and Gujarat are among the largest underperformers.

The ranking shows that income is being translated into human development with very different degrees of success across India’s states. Income matters, of course. But what varies is how ‘well’ states use it.

Figure 4. Efficiency ranking-residual HDI (actual–predicted) by state, 2022

Source: Author's calculations based on data from the Global Data Lab, Radboud University.
Notes: Positive values indicate HDI overperformance relative to income.

What does spending efficiency reveal about the conversion gap?

The ranking raises an obvious question: what explains these differences? A state-level analysis by the World Bank (2024) finds large differences across states in how effectively public spending on health and education is converted into outcomes. The analysis measures technical efficiency by estimating how much of a state's health and education outcomes can be attributed to its expenditure, benchmarked against the best-performing states at similar income levels.

A high-income state with weak delivery may need better management of health and education systems. A poorer but efficient state may need more financing.

Figure 5 places this idea next to the income-adjusted HDI results, comparing state efficiency scores in health and education expenditure with the gap between actual HDI and the level predicted by income.

Figure 5. Does public-system efficiency translate into higher income-adjusted HDI?

Source: Author's calculations based on data from the Global Data Lab and World Bank.
Notes: Public system efficiency by HDI gap (actual HDI minus income-predicted HDI). Bubble size represents per-capita social sector expenditure,

The pattern points in a consistent direction without being mechanical. Kerala and Manipur convert their income into human development effectively and spend on health efficiently. Andhra Pradesh and Gujarat fall short of what their income would predict, despite relatively strong education-efficiency scores.

Assam is another useful case here. It performs above its income-predicted HDI despite weaker measured efficiency, partly because the income-predicted baseline for a state at Assam's level of GNI per capita is low.

Efficiency helps explain the conversion gap but does not exhaust it. Spending, delivery capacity, and institutional conditions all shape whether income is converted into human development.

What could India's human development trajectory look like by 2047?

High income and very high human development describe different conditions. Figure 6 plots two possible trajectories. The first is an entry scenario, in which India reaches an HDI score of 0.800 by 2047, the threshold for very high human development. This path is demanding but plausible, requiring roughly 4% annual growth in GNI per capita, alongside continued improvements in schooling and life expectancy.

The second is a convergence scenario, in which India approaches the 2023 average HDI score of very-high-HDI countries, around 0.914. That path is much steeper and would require about 7.7% annual income growth, rapid health gains, and nearly a two-fold acceleration in average years of schooling.

The gap between the two scenarios is the central policy lesson. Crossing the very-high-HDI threshold is not the same as converging with the living standards, health outcomes, and education levels of today’s most developed economies.

Figure 6. Two paths to very high human development in India by 2047

Source: Author's calculations based on data from UNDP HDRO.

What would closing the gap require?

Reaching the second scenario would require more than just faster GDP growth. Three institutional changes are necessary.

First, lagging states need medium-term spending frameworks for health, education, and nutrition. Annual budget cycles expose social sector spending to fiscal pressures from which capital expenditure is typically shielded. Without multi-year spending floors, gains in schooling and health services remain fragile.

Second, India needs a better ‘diagnostics architecture’. Monitoring should track whether states are catching up in learning, nutrition, health status, and human capability, going beyond counting whether welfare schemes are expanding access.

Third, centre-state coordination should move beyond rankings towards outcome compacts, with multi-year goals and state-specific support for the hardest delivery problems.

The task is to build the institutional machinery that turns income into human development. That machinery is critical because growth and human development can follow different long-run trajectories, and growth-heavy paths unaccompanied by improvements in human capability are unlikely to be stable.

Amartya Sen’s point remains the right test for India’s Vision 2047: development is not simply the expansion of resources or access, but the improvement of the conditions of life that those resources are meant to serve. India’s challenge is to make growth work harder for human development.

Where can I find out more?

The World Bank’s India country economic memorandum: This report examines what it would take for India to reach high-income status by 2047, covering investment, productivity, structural transformation, and state-level spending efficiency in health and education.
UNDP human development report office data portal: This resource provides country HDI scores, trend data, and decomposed indices across health, education, and income, forming the primary data source for the national-level analysis in this article.
Global data lab: This resource provides sub-national HDI estimates and GNI per capita data for Indian states based on UNDP HDI methodology, forming the primary data source for the state-level analysis in this article.
Interlinkages between economic growth and human development in India: a state-level analysis: This study explores the relationship between economic growth and non-income components (health and education) of the HDI for 26 Indian states during the period 1990-2019.
A 2047 deadline won't deliver Viksit Bharat, India will have to do the work: This piece argues that even sustained 8% annual growth may be insufficient for India to reach high-income status by 2047, given the World Bank's moving income threshold, structural labour market weaknesses, and incomplete transformation away from low-productivity employment.