On this page
- The Income Elasticity Formula and What It Signals
- Engel's Law: The Oldest Data Dive in Economics
- Worked Example: Normal, Inferior, and Luxury
- Cross-Price Elasticity: When One Price Moves, Another Product Feels It
- Worked Example: Substitutes and Complements with Numbers
- What the Data Doesn't Show — And Why It Matters
- What It Means for Pricing and Strategy
In 2023, U.S. consumers spent 11.2 percent of their disposable personal income on food — down from 17 percent in 1960. That four-decade decline isn't a coincidence or a change in tastes. It's Engel's Law playing out in real time: as incomes rise, people spend more on food in absolute dollars but a shrinking share of their budget on it. The law, and the two elasticity measures that formalize it, explain why supermarkets stock more organic produce year after year while bus ridership falls when the economy heats up.
The Income Elasticity Formula and What It Signals
Income elasticity of demand — abbreviated YED — measures how sensitive a good's quantity demanded is to a change in consumer income, with price held constant:
YED = % Change in Quantity Demanded ÷ % Change in Income
The formula looks like the basic price elasticity you've seen, but the denominator changes. Instead of asking "what happens when the price moves?", you're asking "what happens when the buyer gets richer or poorer?"
The result sorts goods into three categories:
- Normal goods (YED > 0): Demand rises as income rises. When people earn more, they buy more of these. Steak, new cars, gym memberships — the majority of goods fall here.
- Inferior goods (YED < 0): Demand falls as income rises. Consumers trade up to better alternatives once they can afford to. Classic examples include instant ramen, bus passes, and store-brand canned goods.
- Luxury goods (YED > 1): A special subcategory of normal goods where demand rises faster than income. A 10% income increase triggers more than a 10% demand increase. Designer handbags, international travel, and fine dining carry YED values well above 1.
The dividing line between a necessity and a luxury is a YED of 1. Below 1 (but still positive): necessities — demand grows with income, but not explosively. Above 1: luxuries — small income gains translate into outsized demand surges.
Engel's Law: The Oldest Data Dive in Economics
Ernst Engel, a 19th-century German statistician, observed in 1857 that poor families spent a much larger fraction of their income on food than wealthy ones — even though wealthy families spent more in absolute terms. This pattern, now called Engel's Law, is one of the most robustly replicated findings in economics.
The USDA Economic Research Service tracks it continuously. The data from 1960 to 2023 shows the law in vivid form: American households devoted 17% of disposable personal income to food in 1960, about 9.9% by 2000, and 11.2% by 2023. The uptick from 2000 to 2023 reflects the food-price inflation of the 2020s rather than a reversal of the underlying trend.
The income disparities within that aggregate are just as striking. According to USDA ERS analysis of income quintiles, households in the lowest income quintile spent roughly 28–35% of their annual income on food in recent years, while the highest quintile spent only 6–9%. Food, therefore, behaves like a necessity with a YED below 1 — demand for it doesn't collapse when incomes fall, and it doesn't surge when they rise. The income elasticity of demand for food at home in the United States has been estimated at roughly 0.1 to 0.3: a 10% income increase leads to a 1–3% increase in grocery spending.
Worked Example: Normal, Inferior, and Luxury
Suppose a regional economy experiences a 10% rise in household incomes. Three goods respond very differently:
Good A — Streaming subscriptions (normal, YED ≈ 0.6): Quantity demanded rises by 6%. YED = 6% ÷ 10% = 0.6. These are clearly consumed more as incomes grow, but they don't dominate new spending — they're a convenience, not a splurge.
Good B — Budget frozen dinners (inferior, YED ≈ −0.4): Quantity demanded falls by 4%. YED = −4% ÷ 10% = −0.4. Households shift toward fresh or restaurant meals once they can. The manufacturer of the frozen dinner faces a structural demand headwind whenever the economy expands.
Good C — Business-class airfare (luxury, YED ≈ 1.8): Quantity demanded rises by 18%. YED = 18% ÷ 10% = 1.8. Airlines earn disproportionately more from premium cabins during expansions and face severe volume drops during recessions. This is why airlines hedge aggressively on economic cycles.
These three YED values explain why a supermarket and a luxury car dealer respond very differently to a recession. Food retailers see modest demand softening; luxury goods sellers see it crater.
Cross-Price Elasticity: When One Price Moves, Another Product Feels It
Cross-price elasticity of demand (XED) shifts the lens from income to the price of a different good. It answers: if Good B's price rises by 10%, what happens to demand for Good A?
XED(A,B) = % Change in Quantity Demanded of Good A ÷ % Change in Price of Good B
The sign of XED immediately tells you the relationship between the two goods:
Positive XED → substitutes. When Butter goes up in price, demand for Margarine rises. Consumers switch. The more positive the XED, the closer the substitutes. A XED of 0.05 between butter and almond butter suggests weak substitutability; a XED of 0.8 between Coke and Pepsi suggests consumers consider them nearly interchangeable.
Negative XED → complements. When gasoline prices rise sharply, demand for large SUVs falls — not because SUVs are priced higher, but because the cost of operating them rises. Gasoline and large vehicles are complements: they're consumed together, so a price increase in one damps demand for the other. A YED of −0.3 to −0.5 for automobiles with respect to fuel prices has been documented in several empirical studies.
XED near zero → unrelated goods. Milk and tennis rackets. Price changes in one leave demand for the other essentially unchanged.
Worked Example: Substitutes and Complements with Numbers
Scenario 1 — Coffee brands as substitutes: A national coffee chain raises its espresso drink prices by 15%. A competing café, watching sales, tracks its own foot traffic and finds a 9% increase in its own units sold.
XED = +9% ÷ +15% = +0.60
The positive sign confirms these two products are substitutes. The magnitude, 0.60, indicates moderate substitutability — the brands clearly compete but consumers don't switch entirely, suggesting some loyalty or convenience differentiation.
Scenario 2 — Streaming services and broadband as complements: An internet provider raises its monthly broadband rate by 20%. A streaming platform notices a 6% decline in new subscriptions over the following quarter.
XED = −6% ÷ +20% = −0.30
The negative sign confirms these are complements — consumed together. The −0.30 magnitude suggests a meaningful but not catastrophic linkage. Broadband is so essential that consumers don't cancel streaming en masse, but the higher baseline cost of internet access reduces the appetite to add another monthly bill.
What the Data Doesn't Show — And Why It Matters
YED and XED are averages calculated from historical data. Several caveats apply:
Income effects are not symmetric. A 10% income gain typically doesn't produce the mirror image of a 10% income loss. Households often protect spending on necessities during income drops more fiercely than they expand luxury spending during equivalent gains — behavioral asymmetry that standard YED doesn't capture.
Cross-price relationships shift over time. Gasoline and electric vehicles are becoming less complementary as EVs displace internal combustion cars in some markets. A XED estimated on 2010 data may poorly predict behavior in 2025. Elasticities should be re-estimated as market structures change.
Aggregation masks heterogeneity. A single national YED for food obscures that low-income households (whose food share of income is 28–35%) have very different income sensitivity than high-income households (6–9%). Policy analysis that relies on an aggregate elasticity may dramatically underestimate the impact on specific groups.
What It Means for Pricing and Strategy
For a business, knowing YED determines which segment of the economic cycle is dangerous. Luxury goods producers need to hold cash reserves through downturns; essential goods producers face far less existential risk from recessions but also capture less upside in booms.
For a policymaker, understanding that food has a low YED and a necessity character explains why food assistance programs like SNAP are targeted at the lowest quintile — the group for whom a food-price shock or income drop translates into a genuinely large share of their budget, not just mild inconvenience.
For a competitor, XED tells you how tightly your product and a rival's are seen as interchangeable. A high positive XED is a warning: your pricing decisions are directly readable by competitors as an invitation to poach your customers. A low or negative XED signals you're in a different category altogether — or that you've built enough complementary infrastructure (think hardware and software, or razors and blades) that demand for your product and a partner product move together, not against each other.
The numbers are available. Engel's Law has held across 170 years and dozens of countries. The categories — normal, inferior, luxury, substitute, complement — are not textbook abstractions. They're the levers that determine whether a recession destroys your market or passes you by.
◆ Sources
- U.S. consumers spent 11.2 percent of disposable personal income on food in 2023 — USDA Economic Research Service
- Average Share of Income Spent on Food in the United States Remained Relatively Steady From 2000 to 2019 — USDA ERS Amber Waves
- Percent of Income Spent on Food Falls as Income Rises — USDA ERS Amber Waves
- Consumer Expenditures in 2023 — U.S. Bureau of Labor Statistics
- Elasticity of Demand — Econlib (Library of Economics and Liberty)
- Food Expenditure Series — USDA Economic Research Service





