Purchasing power parities and gross domestic product per capita in purchasing power standards, European countries, 2016 – nowcast

Actual individual consumption per capita in Slovenia in 2016 lagged behind the EU-28 average by a quarter

Actual individual consumption per capita in purchasing power standards in Slovenia was in 2016 25% lower than the EU-28 average. Slovenian gross domestic product per capita in purchasing power standards in 2016 was 17% lower than the EU-28 average.

  • 6/13/2017
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  • no status

Eurostat published the nowcast on actual individual consumption (AIC) per capita and gross domestic product (GDP) per capita, expressed in purchasing power standards (PPS) for 2016 and for 37 European countries.

AIC per capita in PPS in Slovenia in 2016 25% lower than the EU-28 average

Better than GDP per capita, material well-being of households is reflected by AIC, which is made up of goods and services actually consumed by individuals.

Among 37 European countries the highest AIC per capita in PPS for 2016 was recorded in Luxembourg and Norway (32% above the EU-28 average), followed by Switzerland (27% above), Germany (22% above), Austria (18% above) and the United Kingdom, with 15% above the EU-28 average. The lowest AIC was recorded in Albania (61% below), Bosnia and Herzegovina and Macedonia (both 59% below the EU-28 average).

In 2016 AIC per capita in PPS in Slovenia was at 75% of the EU-28 average (the same as in 2015). Countries close to Slovenia in terms of AIC per capita in PPS were Poland (also 75% of the EU-28 average), Slovakia and Greece (both 77% of the EU-28 average) and the Czech Republic (78%).

Slovenian GDP per capita in PPS in 2016 17% lower than the EU-28 average; same as in 2015

The indicator GDP per capita in PPS is a measure of a country’s economic development. The position of countries regarding GDP per capita in PPS and AIC per capita in PPS are similar; however, the differences between countries are much bigger in the case of GDP per capita in PPS. GDP per capita in PPS varied by almost one to six across the EU-28 Member States in 2016.

Regarding this indicator, first position among 37 European countries in 2016 also belonged to Luxembourg (167% above the EU-28 average), followed by Ireland and Switzerland (77% and 59% above the EU-28 average). They were followed by Norway (49% above), Iceland, the Netherlands and Austria (slightly more than a quarter above the EU-28 average).

The countries with the lowest GDP per capita in PPS were Albania, and Bosnia and Herzegovina (approx. 70% below the EU-28 average).

Slovenian GDP per capita in PPS in 2016 amounted to 83% of the EU-28 average, which was the same as in the previous year.

Close to Slovenia in terms of GDP per capita in PPS were the Czech Republic and Cyprus, whose values were 12%-19% below the EU-28 average.
Chart 1: Actual individual consumption per capita in purchasing power standards, European countries, 2016
Chart 1: Actual individual consumption per capita in purchasing power standards, European countries, 2016
Source: Eurostat (http://ec.europa.eu/eurostat, 13. 6. 2017)
Table 1: Actual individual consumption and Gross domestic product per capita in purchasing power standards, volume indices, European countries (EU-28=100), 2016
CountryActual individual consumption
per capita
Gross domestic product
per capita
European union (EU28)100100
Euro area (EA19)105106
EU-28
Luxembourg132267
Germany122123
Austria118126
United Kingdom115108
Denmark114125
Finland114109
Belgium113118
France111105
Netherlands111128
Sweden111124
Ireland97177
Italy9796
Cyprus9081
Spain8992
Lithuania8675
Portugal8277
Malta8195
Czech Republic7888
Greece7767
Slovakia7777
Poland7569
Slovenia7583
Estonia7174
Latvia6765
Hungary6367
Romania6359
Croatia5959
Bulgaria5348
EFTA Member states
Norway132149
Switzerland127159
Iceland114129
Candidate countries for EU
Turkey6162
Montenegro5442
Serbia4536
Macedonia4138
Albania3930
Potential candidate country for EU
Bosnia and Herzegovina 1)4131
1) Based on ESA 95.
Source: Eurostat (http://ec.europa.eu/eurostat, 13. 6. 2017)
Detailed data and time series are available on the SI-STAT data portal.
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