Supply and demand examples: everyday UK cases
By Unlearnt
Everyday supply and demand examples make the pattern easier to see. A new office raises demand for coffee on a high street, a wet summer cuts the tomato harvest, cheaper production increases laptop supply, and a mild autumn reduces demand for winter coats. British strawberry season and a sold-out gig follow the same logic, with one important difference in how far supply can respond. Each case moves the market differently. The examples and table below compare the predicted price and quantity changes, followed by a worked coffee-market graph.
Supply and demand examples
These are hypothetical examples, not reports of particular price changes. Each prediction assumes a competitive market with downward-sloping demand, upward-sloping supply and, unless noted, the other curve unchanged. Price adjustment also takes time. The same idea is sometimes called offer and demand: 'offer' is another word for supply.
A high-street coffee shop is a useful starting point. Suppose a new office block opens across the road and more workers want a mid-morning coffee at each listed price. That is a rise in demand. If the shop cannot instantly add machines and staff, the simple model predicts a higher price and a higher quantity sold once the market has time to adjust.
Now imagine a storm, or an unusually wet British summer, damages part of the local tomato harvest. Growers have fewer tomatoes to offer at each price, so supply falls. The model predicts a higher price and a lower quantity sold, which is why a poor growing season can show up as dearer supermarket tomatoes even if nothing has changed about how much people like them.
A different change starts with producers. If a manufacturing improvement lowers the cost of making laptops, firms can offer more machines at each price. Supply rises. The model predicts a lower price and a higher quantity sold.
Demand can also fall. After a mild autumn, fewer people are interested in buying a new winter coat at each price. Supply has not changed in this story. The model predicts a lower price and a lower quantity sold.
Two further everyday cases use the same model. When British strawberry season peaks in June, more punnets are available at each price, so supply rises; the usual prediction is a lower price and a higher quantity sold. And when a popular band announces a single arena date, demand for tickets rises sharply. In the short run the number of seats is almost fixed, so supply can increase only a little. The model still predicts a higher price, but the quantity sold may barely change until more dates or a larger venue can be added.
The four cases in the table, and in the diagram that follows, are the cleanest illustrations of the four basic shifts. The strawberry and ticket examples follow the same logic, with the ticket market showing what happens when supply cannot expand much in the short run.
| Example | What shifts? | Predicted price and quantity |
|---|---|---|
| Coffee: a new office brings more customers to a street. | Demand rises: buyers want more coffee at each price. | Price rises; quantity sold rises. |
| Tomatoes: a storm damages part of the local harvest. | Supply falls: sellers have fewer tomatoes to offer at each price. | Price rises; quantity sold falls. |
| Laptops: a manufacturing improvement lowers production costs. | Supply rises: producers can offer more at each price. | Price falls; quantity sold rises. |
| Winter coats: mild weather reduces interest in buying a new coat. | Demand falls: buyers want fewer coats at each price. | Price falls; quantity sold falls. |
Four changes, four different market outcomes
Coffee
More customers
Demand rises
Price
↑
Quantity
↑
Tomatoes
Damaged harvest
Supply falls
Price
↑
Quantity
↓
Laptops
Cheaper manufacturing
Supply rises
Price
↓
Quantity
↑
Winter coats
Milder weather
Demand falls
Price
↓
Quantity
↓
The supply and demand model is a relationship, not one quantity
The supply and demand model organises those examples as two relationships, not as a single observed quantity. Demand is a relationship between price and quantity demanded; supply is a relationship between price and quantity supplied. In the usual introductory model, a higher price reduces the quantity buyers want and increases the quantity sellers offer, other things equal.
Equilibrium is the price at which those quantities match in the model. If buyers want more than sellers offer at a given price, there is a shortage at that price. If sellers offer more than buyers want, there is a surplus. This is a way of organising the choices, not a claim that every real market adjusts instantly.
Worked example: a coffee stall's afternoon market
Imagine a small market where the quantities below describe cups per afternoon. The numbers are invented to make the relationship visible, with the recipe, opening hours and other conditions held fixed.
At £2, buyers want 120 cups while sellers offer 60. Some willing buyers cannot get a cup at that price. At £4, sellers offer 120 while buyers want 60, leaving unsold capacity or stock. At £3, the planned quantities match at 90 cups. That is equilibrium in this simplified schedule.
The coffee schedules meet at £3 and 90 cups
A busier street changes the relationship
Now imagine a new office opens nearby. More people want coffee at each listed price. That is a demand shift, not merely buyers reacting to a higher coffee price. If supply is unchanged, the model predicts a higher equilibrium price and quantity.
By contrast, a rise from £2 to £3 with everything else fixed moves along the existing relationships. A rise in milk costs is a different change again: sellers may offer less at each price, shifting supply. Keeping these stories separate helps prevent circular explanations such as ‘demand increased because the price increased’.
Misconception: the model predicts one outcome without assumptions
If both curves shift, the direction of one outcome may be uncertain. For example, more nearby workers and more expensive milk both put upward pressure on price in this model, but they push quantity in opposite directions. The relative size of those changes matters.
Time matters too. A stall can change its price faster than it can install another machine. Capacity, substitutes, market power and fixed contracts can change how the real adjustment works. The model is most useful when you name those constraints and distinguish a short-run prediction from a longer-run response.
When you are ready, try today's question below. Explain a new case in your own words and the tutor will help you find the gaps.
Check your understanding
Optional: apply the idea to a new scenario.
A city's population grows while building costs rise. In a simple rental-housing supply-and-demand model, what can you predict about rents, and why is the change in the number of homes rented less certain? State your assumptions.
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