How is Poverty Measured in India? Methods, Trends, and Insights

Ask three economists how many poor people live in India and you may get three different answers. That is not because they are careless. It is because “poverty” is not a single number waiting to be read off a chart. It depends on where you draw the line, what you count as a basic need, and whether you care only about how many people are poor or also about how deeply poor they are. Understanding how poverty is measured is the first step to understanding the heated debates about whether it is rising or falling. This post breaks down the main measurement tools, the committees that fixed the official poverty line, and what the long-run data actually tells us.

Why measuring poverty is harder than it looks 🔗

Most poverty estimates start with a poverty line: a threshold of income or consumption expenditure below which a person is considered poor. In India, this line has historically been anchored in a minimum calorie requirement, then converted into the monthly spending needed to buy that food along with basic non-food essentials. The very first systematic exercise came from a Planning Commission task force in 1962, which calculated the expenditure needed to meet a survival level of nutrition.

But a single line raises a deeper question. Once you know who falls below it, how do you summarise that information? Counting heads is easy, yet it hides important details. Two states can have the same percentage of poor people while one has people barely below the line and the other has people in desperate destitution. This is exactly why economists use several different measures, each answering a slightly different question.

Approaches to measuring poverty in India 🔗

There is no single “correct” poverty measure. Each captures a different aspect, and reading them together gives the fullest picture. The three most important are the head count ratio, the poverty gap ratio, and the Sen index.

The head count ratio 🔗

The head count ratio (HCR) is the simplest and most widely used measure. It is the proportion of the population living below the poverty line, calculated by dividing the number of poor people by the total population and multiplying by 100. If 20 out of every 100 people fall below the line, the head count ratio is 20 percent.

Its strength is its clarity. Anyone can understand “21.9 percent of Indians were poor in 2011-12.” But its weakness is serious: it treats everyone below the line as equally poor. A person spending one rupee below the line is counted the same as someone with almost no income at all. The head count ratio also tells you nothing about whether the poor are getting closer to escaping poverty or sinking deeper. The Oxford Poverty and Human Development Initiative and others have criticised the head count ratio precisely because it cannot show whether anyone is being left behind.

The poverty gap ratio 🔗

The poverty gap ratio (PGR) fixes part of that problem by measuring the depth of poverty. Instead of just counting the poor, it measures how far below the poverty line they fall, on average, expressed as a proportion of the line. In effect, it estimates the minimum amount of money that would be needed to lift everyone exactly up to the poverty line if transfers could be perfectly targeted.

This makes the poverty gap ratio far more informative than a simple count. As the analysis of the poverty gap index shows, two regions can share the same head count ratio yet have very different gap ratios, and a higher gap means poverty is more severe. The measure is also additive, which means it can be broken down by region, gender, caste, or occupation, making it useful for policy targeting. Its limitation is that it still ignores inequality among the poor. It does not capture whether the poverty is shared evenly or concentrated among the very poorest.

Amartya Sen’s index 🔗

This is the gap that Nobel laureate Amartya Sen set out to close. In 1976 he argued that a good poverty measure should reflect three things at once: how many people are poor, how poor they are, and how unequally poverty is distributed among them. The resulting Sen index combines the head count ratio, the income gap ratio, and the Gini coefficient of income among the poor into a single figure.

By folding inequality into the calculation, the Sen index responds to something the other two miss. If income is transferred from a very poor person to a slightly less poor person, the head count ratio may not move at all, but the Sen index registers that the poorest have become worse off. This sensitivity to the distribution of hardship is why the Sen index is considered a more sophisticated measure of both the prevalence and severity of poverty. A related tool, the squared poverty gap, weights each shortfall by its own size, again giving more importance to the deepest deprivation.

How India draws its official poverty line 🔗

Knowing the measures is one thing; agreeing on the line is another. The official poverty line in India has been revised by a series of expert committees, and each revision has triggered political controversy.

The Tendulkar committee 🔗

The current official methodology rests on the recommendations of the Tendulkar Committee, an expert group chaired by Suresh Tendulkar that submitted its report in 2009. It moved away from a purely calorie-based line toward a broader basket including spending on health and education, and it used a mixed reference period for consumption data. Based on this method, the Planning Commission fixed the national poverty line for 2011-12 at roughly 816 rupees per person per month in rural areas and 1,000 rupees in urban areas, which works out to around 27 rupees a day in villages and 33 rupees a day in cities. Those tiny figures sparked national outrage, with critics asking how anyone could survive on so little.

The Rangarajan committee 🔗

Stung by that criticism, the government set up another expert group in 2012 under former RBI Governor C. Rangarajan. As documented by PRS Legislative Research, the Rangarajan Committee used a Modified Mixed Reference Period for consumption data and raised the line to about 972 rupees per month in rural areas and 1,407 in urban areas. The new method produced poverty lines that were 19 percent higher in rural areas and 41 percent higher in urban areas than the Tendulkar estimates, which meant tens of millions more people were classified as poor. The report arrived in 2014, and the incoming government never formally adopted it, so the official estimates still rest on the Tendulkar method.

The multidimensional poverty index 🔗

Income lines have an obvious blind spot: a family may earn just above the line yet still lack clean water, electricity, or schooling. To capture this, NITI Aayog, working with the Oxford Poverty and Human Development Initiative and the United Nations Development Programme, built a National Multidimensional Poverty Index. It measures deprivation directly across three dimensions, health, education, and standard of living, using twelve indicators drawn from the National Family Health Surveys. A household is identified as poor based on overlapping deprivations rather than spending alone, reflecting Sen’s broader idea that poverty is a deprivation of capabilities, not just a shortage of cash.

Trends in poverty reduction 🔗

Whichever measure you use, the long-run direction is downward. Using the consumption-based head count ratio, poverty fell from roughly 55 percent in 1973-74 to about 36 percent in 1993-94, and then to around 21.9 percent by 2011-12. In absolute terms, the number of poor declined from about 407 million in 2004-05 to roughly 269 million in 2011-12, an average fall of more than two percentage points a year.

The pace of decline is closely tied to economic growth. Through the 1950s and 1960s, slow growth and a heavy colonial legacy kept poverty stubbornly high. The liberalisation reforms of 1991 accelerated growth, and the steepest reductions came afterwards. More recent figures point in the same direction. The World Bank’s data shows extreme poverty, measured at the lower international line, falling sharply over the 2010s, while NITI Aayog reports that multidimensional poverty dropped from 29.17 percent in 2013-14 to 11.28 percent in 2022-23, lifting nearly 24.8 crore people out of poverty. A separate NCAER analysis estimated the consumption head count ratio falling to single digits by 2022-24.

These numbers should be read with care. Different surveys, lines, and methods produce different totals, and the absence of an updated official consumption survey for several years created a long gap in the comparable income-poverty series.

Poverty trends by region 🔗

National averages hide enormous variation between states. Although poverty has fallen almost everywhere since the 1970s, the success rate has differed sharply.

At the 2011-12 estimates, states such as Bihar, Odisha, Madhya Pradesh, Uttar Pradesh, Assam, and Jharkhand recorded poverty ratios well above the national average. Bihar and Odisha have long been the two poorest large states, with head count ratios in the low to mid thirties. These regions tend to share common features: slower industrialisation, weaker infrastructure, lower literacy, and heavier dependence on agriculture.

At the other end, Kerala, Goa, Punjab, Himachal Pradesh, Tamil Nadu, and Andhra Pradesh reported some of the lowest poverty rates. Kerala is the standout example, where decades of investment in education and health correspond to remarkably low poverty. Encouragingly, the multidimensional data shows the largest absolute gains now coming from the poorest states. According to the NITI Aayog progress review, Uttar Pradesh saw the biggest decline, with about 5.94 crore people escaping multidimensional poverty, followed by Bihar at 3.77 crore. The gap between high-poverty and low-poverty states, while still wide, is slowly narrowing.

What do you think? If two states share the same head count ratio but very different poverty gap ratios, which one should receive more government support, and how would you justify that choice? And as income-based poverty falls toward single digits, should India shift entirely to a multidimensional measure, or do both still have a role to play?

References

1. https://www.qeh.ox.ac.uk/news/new-ophi-article-analyses-poverty-india-using-multidimensional-poverty-index-vs-headcount-ratio
2. https://en.wikipedia.org/wiki/Poverty_gap_index
3. https://www.pib.gov.in/newsite/erelcontent.aspx?relid=97365&reg=3&lang=2
4. https://prsindia.org/policy/vital-stats/poverty-estimation-india
5. https://www.undp.org/india/national-multidimensional-poverty-index-progress-review-2023
6. https://ncert.nic.in/textbook.php
7. https://niti.gov.in/whats-new/national-multidimentional-poverty-index-2023
8. https://ophi.org.uk/national-mpi-directory/india-mpi