Cost of Living Index Explained: What 73, 100 and 113 Mean

An index is a compact comparison scale. Instead of listing thousands of prices in different currencies, statisticians choose a reference and set it to 100. Other places are shown relative to that base. In the Eurostat price-level data used by our European calculator, the current EU average is the reference. A country at 100 is near that average for the selected consumer basket and year.

The arithmetic is simple when comparing a country with the reference. Subtract 100. Poland at 73.3 is 26.7 points, or roughly 27%, below the EU average. Portugal at 86.6 is 13.4% below it. Austria at 113 is 13% above it. The number is not money. It does not mean a person needs EUR 73.30 or EUR 113 per day, and it does not say anything directly about income.

The word "average" matters. A broad basket combines many goods and services consumed by households. Your basket may be different. Someone who shares a home, cooks every meal and cycles has different exposure from someone renting alone, driving and eating out. The index supplies a common direction; your budget supplies the weights that matter to you.

Suppose one country has an index of 73.3 and another has 113. The gap is 39.7 index points, but that is not the percentage increase from the first country to the second. To estimate the broad price relation, divide 113 by 73.3. The result is about 1.54, so the second basket is roughly 54% more expensive than the first basket under the index methodology.

The reverse comparison is not minus 54%. Divide 73.3 by 113 and the result is about 0.65. That means the first basket is roughly 35% cheaper than the second. Percent changes are asymmetric because they use different starting values. This is why a calculator is safer than mentally subtracting two scores.

Use the ratio only for the part of the budget represented by the basket. If EUR 1,000 of your current monthly spending belongs to comparable everyday categories, multiplying by 113 divided by 73.3 gives a rough destination starting point of about EUR 1,542. Do not automatically apply that result to rent, loan payments, taxes or a fixed savings contribution.

Eurostat and the OECD run a purchasing power parity programme across European countries. The latest comparative price-level analysis is based on surveys covering more than 2,000 consumer goods and services. The programme groups prices into categories such as food, clothing, energy, household equipment, transport, communication, restaurants and hotels. The overall household consumption index combines those categories using expenditure information.

This design solves two problems. First, it compares more than a handful of highly visible items. Coffee, rent or a phone alone cannot represent the full cost of living. Second, purchasing power parities allow prices in different currencies to be compared on a common basis instead of treating the market exchange rate as proof that two baskets cost the same.

No basket perfectly matches one person. Statistical weights reflect broad household consumption patterns, while your budget might concentrate on housing, childcare, imported food or frequent travel. Category indices can improve the estimate when your spending is unusual, but even they remain national aggregates. The practical response is to use the official relation as a baseline and then replace the inputs that matter most.

A comparative price level answers a spatial question: how expensive is a basket in one country relative to another reference area? Inflation answers a time question: how much did prices change within a country between periods? If Country A is cheaper today but its prices are rising faster, it can have a low price-level index and a high inflation rate at the same time.

A market exchange rate shows how currencies trade. It can move much faster than local wages or consumer prices. Purchasing power parities are constructed to compare how much currency is needed to buy a similar basket, while a price-level index relates that purchasing-power conversion to the market exchange rate and reference area. This is why simply converting a foreign price at today's FX rate is not a complete affordability analysis.

Purchasing power for a person adds income to the picture. A country can have high prices and high salaries, or low prices and low salaries. What matters for a move is the interaction between take-home pay and the personal budget. The calculator therefore displays income, monthly cost, rent share and money left rather than declaring the lowest index the automatic winner.

Official European price-level indices are designed for comparable country statistics. They do not claim that every city inside a country has the same prices. Housing is the clearest example: a central capital neighbourhood, a university district and a smaller regional city can have very different rents even though they share the same national price level.

Other costs also have local structure. Public transport fares, parking, childcare, municipal services and restaurant density can differ by city. Your distance from work changes transport exposure. A coastal tourist area can have seasonal prices that a national annual figure smooths out. For this reason, typing a city name into the calculator labels the scenario but does not magically create unsupported city data.

Use the national index where it is strongest: setting the broad direction for everyday categories. Use local evidence for the categories with a large city effect. Recent housing listings, official transport fares, utility tariff information and a realistic commuting plan can replace the generic estimate. This hybrid method is less exciting than a database claiming an exact city average, but it is easier to audit and update.

Consumer goods that trade internationally can show less dispersion than labour-intensive local services. Eurostat's comparative analysis notes larger differences for several service categories, including transport services, communication, restaurants and hotels. Taxes, regulation, wages, energy systems and market structure all affect categories differently.

Imagine two countries with similar overall scores. One may have cheaper groceries but more expensive energy; another may reverse that pattern. For a person who cooks at home and works remotely, the first country may feel cheaper. For a person who eats out and commutes daily, the second may be better. An overall index cannot know which category dominates your life.

This is why our calculator stores separate spending categories. It uses category relations where available and keeps every amount editable. After the first recalculation, look for the three largest rows in your budget. Verify those directly. Improving the largest assumptions usually matters more than researching small differences in clothing or occasional purchases.

A price index describes prices, not wages. If local take-home income falls more than the monthly budget, the lower-price country can leave less money after expenses. The opposite can also happen: a higher-cost country may offer a sufficiently higher net salary, better employer benefits or lower personal transport costs, leaving more room overall.

Use a consistent income profile. The calculator's country reference is based on Eurostat annual net earnings for an illustrative single worker without children at average earnings, divided by twelve. It is not a household total, a median for every profession or a promise about your offer. Family status, taxes, contributions, bonuses and industry can materially change take-home pay.

The most useful comparison shows monthly cost, money left after expenses and rent as a share of income. Add your required savings, debt payments and irregular obligations outside the displayed living-cost total. If the result is negative or too close to zero, the index has not failed; it has revealed that the income and housing assumptions do not support the plan.

Take Poland at 73.3, Portugal at 86.6 and Austria at 113 in the calculator dataset. Compared with the EU reference of 100, Poland is about 26.7% lower, Portugal about 13.4% lower and Austria about 13% higher. Those statements compare each country with the same reference.

For Poland to Portugal, divide 86.6 by 73.3. The result is about 1.18, suggesting a broad basket roughly 18% higher in Portugal than in Poland. For Poland to Austria, 113 divided by 73.3 is about 1.54. For Portugal to Austria, 113 divided by 86.6 is about 1.30. These are starting relations for comparable consumption, not claims about a specific apartment.

If a person spends EUR 800 on comparable non-rent categories in Poland, the simple Portugal starting estimate is around EUR 945. The person should then replace transport, utilities and other known items. Rent is researched separately. Income is entered separately. This sequence preserves the useful information in the index without allowing it to dominate parts of the budget it does not measure well.

The first mistake is treating the score as money. The second is reading 73 as 73% cheaper rather than 27% below a base of 100. The third is subtracting two scores and calling the gap a percentage change. The fourth is applying one overall ratio to rent, taxes and every personal obligation.

The fifth mistake is confusing price level with inflation. The sixth is assuming the lowest score produces the highest savings without comparing income. The seventh is mixing datasets with different base areas. An index where New York equals 100 cannot be compared directly with an index where the EU equals 100. Always check the reference area, year, basket and geography.

A good explanation should survive without the index. You should be able to say which categories are estimated, where rent came from, what income profile is used and how much money remains. If the conclusion depends entirely on one score, the model is not ready for a moving decision.

Choose the current and destination countries. The calculator loads the relevant country price levels and a national average net-income reference where comparable data exists. Enter city names for clear labels, but remember that the price relations remain country-level. Select one currency for the entire scenario.

Replace current spending with a normal month from your records. Replace both rents with real amounts: your current payment and a recent destination listing for the home you plan to rent. Replace destination income with the expected take-home pay from the job or income arrangement under consideration. Then review the largest category rows and correct any direct evidence you have.

Read the result as a scenario. Save the monthly difference, money left and rent share, then rerun with a higher rent or lower income. The tool is most valuable when it makes assumptions visible. It does not forecast exchange rates, determine tax residence, verify a lease or promise that your final spending will match the estimate.