Measuring living standards with income and consumption: evidence from the UK

Introduction

The perennial question of how to accurately measure the living standards, economic well-being of a nation's citizens is at the heart of policy, politics, and economics. For decades, the default metric has been income. We talk about average wages, median household income, and income inequality as the primary barometers of a society's health. However, a growing body of research, powerfully exemplified by analyses of UK data, suggests that this focus provides an incomplete and sometimes misleading picture. The document "Measuring living standards with income and consumption: evidence from the UK" delves into this critical debate, arguing compellingly that consumption—what people actually spend—offers a more nuanced, accurate, and meaningful measure of true living standards than income alone.

The core argument begins by acknowledging the intuitive appeal of income. It represents the potential resources a household has at its disposal—the fuel for its economic engine. Data on income is also relatively plentiful and collected systematically through surveys like the Family Resources Survey (FRS) in the UK. However, the document meticulously outlines the significant limitations of relying solely on this measure.

A Deeper Look at Living Standards Through Income and Consumption

First, and perhaps most importantly, is the issue of "consumption smoothing." Households are not passive vessels that spend their exact income each month. They are forward-looking entities that base their spending on their expected long-term resources, not just their current-month earnings. This is facilitated by borrowing, saving, and drawing on assets. A student with a low current income but strong future earnings potential may take out a loan to maintain a certain standard of living. A retiree may have a low income from pensions but dissave from a lifetime of accumulated wealth to fund their expenses. In both cases, income provides a poor snapshot of their actual material well-being. Their consumption levels tell the real story.

Second, income is prone to measurement error and under-reporting. This is particularly true for certain groups, such as the self-employed, who may have legitimate reasons to report lower incomes for tax purposes, yet still maintain a high level of spending. Furthermore, living standards income measures often fail to capture in-kind benefits (like government-provided health services through the NHS) or the value of owned assets, most notably housing. A homeowner with a mortgage may have a similar income to a renter, but their housing costs and overall net worth position are vastly different. Consumption expenditure naturally incorporates the imputed value of these benefits (e.g., the "rent" a homeowner effectively pays to themselves).

The document then turns to consumption, defining it not just as frivolous spending but as the acquisition of goods and services that directly contribute to well-being. This includes essentials like food, housing, and utilities, as well as discretionary spending on leisure, education, and health. The key advantage of consumption is that it reflects the actual standard of living a household achieves. It is the outcome, whereas income is often just an input.

To empirically test this, the analysis turns to UK data sources: the Living Costs and Food Survey (LCFS) for consumption data and the Family Resources Survey (FRS) for income data. The methodology involves careful harmonization of these datasets to ensure households are comparable. They are adjusted for household size and composition (using equivalence scales) to account for the fact that a family of four needs more resources than a single person to achieve the same standard of living. The results of these comparisons are revealing and form the crux of the evidence.

One of the most striking findings is the difference in measured levels of inequality and poverty. When using an income-based measure, inequality appears significantly higher than when using a consumption-based measure. Why is this? The document explains that lower-income households, as measured by income, often have consumption levels that are much closer to—and sometimes even exceed—the median. This is the consumption smoothing effect in action.

They may be drawing down savings, receiving help from family, or using credit to maintain their spending during periods of low income. Conversely, some high-income households may be reporting high incomes but saving a large portion of it for the future, meaning their current consumption is more modest. Therefore, a consumption-based lens tends to show a society that is less economically divided than the income picture suggests.

This has direct implications for measuring poverty. An income-based poverty rate, which counts all households below 60% of median income as poor, will capture many households who are temporarily low on income but are not experiencing material deprivation. A consumption-based poverty measure often identifies a different, and arguably more accurate, group: those who are genuinely unable to afford a basic standard of living. The "poor" by consumption are those truly unable to smooth their consumption, often because they lack access to credit, have no savings, or have weak social networks. This makes consumption a potentially better tool for targeting social assistance to those most in need.

The analysis also examines the demographics of living standards. The divergence between income and consumption is most pronounced at the two ends of the age spectrum. For pensioners, income measures can be deeply misleading. A retiree may have a very low reported income, relying solely on the state pension. However, if they own their home outright (and thus have no rent or mortgage to pay) and are drawing on private savings or occupational pensions not fully captured in income surveys, their consumption expenditure can be stable and comfortable. An income-based measure would classify them as poor, while a consumption measure reveals a adequate, if not comfortable, standard of living.

Conversely, for younger households, the opposite can be true. They may have decent incomes but face enormous consumption needs and constraints. High rental costs in cities like London, student loan repayments, and the costs of raising young children mean that their disposable income for non-essential consumption is squeezed. They may have high potential future income (and thus high consumption smoothing based on expectations), but their current measured consumption might not fully reflect this if they are credit-constrained. This highlights that while consumption is generally superior, it is not a perfect measure and must be interpreted with care.

The document also explores the dynamics of living standards over time. During economic shocks, like the 2008 financial crisis or periods of austerity, income and consumption can tell different stories about who is affected and how. For instance, a public sector pay freeze would directly impact the measured income of those workers. However, if these workers have stable jobs and access to credit, they might maintain their consumption levels in the short term by reducing their savings rate. The hardship would be delayed. Consumption data can therefore help policymakers understand the lagged effects of economic policies and identify when households' buffers are being exhausted, signaling future vulnerability.

Naturally, consumption is not without its own challenges as a metric. The document honestly addresses these. Measurement is a primary hurdle. Accurately tracking everything a household spends is notoriously difficult. Surveys like the LCFS rely on detailed diaries and recall, which can lead to under-reporting, especially for small purchases, infrequent large expenditures, or socially sensitive items like alcohol and tobacco. Income, for all its flaws, is often a simpler number for people to report.

There's also the conceptual question of whether all consumption is good. Does high consumption of unhealthy food or gambling indicate a high standard of living? Most economists would argue that the measure is agnostic—it measures command over resources, and individual preferences determine how those resources are used to maximize utility. Furthermore, some necessary consumption is "regressive," like spending on heating fuel; a poorer household may have to spend a larger share of its resources on basics, leaving less for discretionary items that enhance well-being. This is why breakdowns of consumption types are crucial alongside the aggregate figure.

Despite these challenges, the evidence from the UK strongly tilts the scales in favor of incorporating consumption data into our primary understanding of living standards. The conclusion is not that we should discard income measures, but that we must use them in tandem. Each tells a different part of the story:

• Income measures the potential for economic well-being and the resources flowing into a household.

• Consumption measures achieved economic well-being and the outcomes of those resources.

For a holistic view, both are essential. Relying solely on income gives a static, often overly pessimistic, and sometimes inaccurate snapshot. It misses the dynamic ways households manage their resources over a lifetime.

The policy implications of this shift in perspective are profound. It suggests that:

1. Poverty and Benefits Targeting: Welfare systems focused solely on current income may miss those who are consumption-poor (e.g., those with modest incomes but high essential costs) and may inadvertently support those who are income-poor but asset-rich. Incorporating consumption data could lead to more effective and better-targeted social safety nets.

2. Understanding Inequality: The narrative of relentlessly rising inequality may need refinement. While inequality of outcomes is undoubtedly real, consumption data suggests the gap in day-to-day living standards may not be as extreme as income data implies. This doesn't negate concerns about wealth inequality, but it reframes the discussion around immediate material well-being.

3. Retirement and Pension Policy: The data on pensioners powerfully argues for moving beyond income-based poverty measures for the elderly. Policy should focus on ensuring adequate consumption levels, which involves considering housing costs, wealth, and access to services, not just cash income.

4. Economic Resilience: Tracking consumption can provide an early warning system. If households begin to cut back on core consumption categories, it indicates that their smoothing mechanisms are failing, signaling deep economic distress that may not yet be visible in income data.

In summary, the UK evidence makes a powerful case for a more sophisticated conversation about economic well-being. By looking not just at what people earn but at what they spend, we move closer to measuring what truly matters: the ability of individuals and families to live lives of dignity, security, and comfort. It is a move from measuring potential to assessing reality, and in doing so, we can craft policies that are more responsive to the actual lived experience of citizens.