First Release

Year: LX.
Zagreb, 14 December 2023
NR-2023-2-3

ISSN 1334-0557

GROSS DOMESTIC PRODUCT AND ACTUAL INDIVIDUAL CONSUMPTION IN PURCHASING POWER STANDARD, 2022

On 14 December 2023, Eurostat publishes data on gross domestic product (GDP) and actual individual consumption (AIC) per capita for 2022, expressed in the purchasing power standard (PPS).

G-1 VOLUME INDICES OF GDP AND AIC PER CAPITA, 2022 (EU-27 = 100)

The Croatian Bureau of Statistics participates in the European comparison programme together with the statistical offices of other European countries with the aim of internationally comparing the volume of all categories of final consumption of GDP of all countries participating in the project.

The most recent analyses of purchasing power parities (PPPs) and related economic indicators (GDP and AIC) per capita are presented for the period 2020 ‒ 2022, focusing on the latest reference year.

The results of the European comparison programme of prices and GDP show that GDP per capita in the Republic of Croatia expressed in the purchasing power standard for 2022 amounted to 27% below the average of 27 EU Member States, while AIC per capita in the same year amounted to 24% below the EU-27 average.

 

Luxembourg, country with the highest GDP expressed in PPS

Among the EU Member States, the highest GDP per capita in PPS was recorded in Luxembourg and it is 156% above the EU-27 average, while Bulgaria has the lowest GDP level, and it is 38% below of the EU-27 average.

The highest level of GDP per capita in Luxembourg is partly due to the large share of cross-border workers in the total employment. Although cross-border workers contribute to GDP, they are not taken into consideration as part of the resident population that is included in the calculation of GDP per capita.

While GDP per capita is mainly used as an indicator of a country’s level of welfare, it is not the only such indicator. AIC per capita is an alternative indicator better adapted to describe the material welfare situation of households. Generally, it is a more homogeneous category than the level of GDP, but there are still substantial differences across the Member States.

AIC is the lowest in Albania and Bosnia and Herzegovina

AIC per capita in PPS among the EU Member States in 2022 ranged from 31% below the EU-27 average in Bulgaria to 38% above the EU-27 average in Luxembourg.

In addition to Luxembourg, the highest AIC per capita in PPS was recorded in Austria, Germany, the Netherlands, Belgium, Denmark, Sweden, Finland, France and Italy ranging up to 18% above the EU-27 average.

Cyprus, Ireland, Lithuania, Poland, Portugal, Slovenia, Romania, Spain, Malta and Czech Republic constitute a group of countries whose level of AIC per capita was below the EU-27 average, ranging from 3% to 17%.

The lowest level of AIC per capita was recorded in the group of countries consisting of Estonia, Greece, Slovakia, Latvia, Croatia, Hungary and Bulgaria, whose average was between 22% and 31% below the EU-27 average.

In addition to 27 EU Member States, the analysis includes three EFTA Member States (Norway, Iceland and Switzerland), the EU candidate countries (Türkíye, Montenegro, Serbia, North Macedonia, Albania and Bosnia and Herzegovina).

In 2022, in EFTA countries, AIC ranged between 17% and 27% above the EU-27 average, while in the candidate countries it ranged between 23% and 59% below the EU-27 average.

1 GDP AND AIC IN PPS, VOLUME INDICES (EU27 = 100), 2020, 2021 AND 2022, OVERVIEW BY PARTICIPATING COUNTRIES

Volume indices (EU-27 = 100)

Countries1) AIC per capita GDP per capita
2020 2021 2022 2020 2021 2022
EU-27 100 100 100 100 100 100
EU Member States            
Luxembourg 139 143 138 260 266 256
Austria 115 118 118 125 122 124
Germany 124 120 118 123 119 117
Netherlands 114 114 116 130 131 130
Belgium 114 115 115 118 120 120
Denmark 121 121 110 133 135 136
Sweden 111 112 110 123 122 119
Finland 114 112 109 114 112 110
France 110 110 107 105 103 100
Italy 97 97 100 94 96 97
Cyprus 96 95 97 91 94 94
Ireland 89 91 94 207 221 235
Lithuania 94 96 94 88 89 89
Poland 83 85 87 76 77 79
Portugal 84 84 87 76 75 79
Slovenia 83 86 87 89 90 90
Romania 81 83 86 73 73 76
Spain 84 86 86 83 84 86
Malta 81 83 83 99 103 104
Czech Republic 85 86 83 93 92 90
Estonia 78 79 78 85 86 85
Greece 75 75 78 62 63 67
Slovakia 76 75 77 74 73 71
Latvia 72 74 76 72 71 73
Croatia 69 73 76 65 70 73
Hungary 70 69 71 74 75 76
Bulgaria 60 64 69 55 57 62
United Kingdom2) 109 - - 102 - -
EFTA Member States            
Norway 127 127 127 143 168 212
Iceland 120 120 119 118 119 126
Switzerland 123 120 117 155 157 159
EU Candidate Countries            
Türkíye 66 67 77 61 61 67
Montenegro 59 59 63 45 47 50
Serbia 51 52 53 43 44 44
North Macedonia 43 48 50 38 41 42
Albania 39 39 41 31 31 34
Bosnia and Herzegovina (BiH) 41 41 41 33 34 35

1) Countries are ranked according to AIC per capita in 2022. Countries with the same value are ranked by protocol order.
2) As of 1 February 2020, the United Kingdom has orderly ceased to be an EU Member State. Therefore, data referring to the United Kingdom are presented separately, only for 2020.

 

NOTES ON METHODOLOGY

Data sources

Eurostat publishes PPPs and derived indicators on the website Statistics Explained; GDP per capita, consumption per capita and price level indices - Statistics Explained (europa.eu).

Definitions and explanations

AIC (actual individual consumption) consists of goods and services actually consumed by households, irrespective of whether they were purchased and paid for by households directly, or by government, or by nonprofit organisations. The AIC per capita can be considered as an indicator of the material welfare of households.

PPPs are indicators of differences in price levels across countries. They indicate how many currency units cost a certain amount of goods and services in different countries. PPPs can be used as currency conversion rates to convert expenditures denominated in national currencies into artificial common currency (PPS), thus eliminating the effect of price differentials in individual countries.

PPS is an artificial reference currency unit that eliminates differences in the price levels among countries. Thus, one PPS buys the same amount of goods and services in all countries. That unit allows a comparison of the volume of economic indicators across countries. Aggregates expressed in PPS are derived by dividing the aggregates in current prices denominated in the national currency by the respective PPP.

PPP and GDP in PPS are the results of a multilateral statistical survey. Its specific feature compared to other statistical surveys is that the results are calculated by the international coordinator. Specifically, none of the participating countries can produce the results independently. The second specific feature is inter-dependency of the results among countries. A change in the data of one country does not only influence the results of this country, but also influences the results of the other countries as well.

The results are based on the latest GDP data for 2022 and the most recent PPPs available.

PPPs are used to generate the price and volume indices that are needed for economic research and analyses that include the comparisons of GDP and GDP expenditure across countries. Volume indices are used to compare the size of the economy and the level of material well-being of economies, consumption, investment, government spending and overall productivity. Price indices are used to compare price levels, price structures, price convergence and competitiveness.

In addition to research and analysis, PPPs and real expenditures derived from PPPs are used for statistical calculation. International organisations aggregate real GDP and its components across countries to produce totals for groups of countries, such as the European Union or the OECD. International organisations also use country shares in all totals as weights when economic indicators, such as price indices or growth rates, are combined to obtain averages for country groups.

PPPs are also used for administrative purposes. The European Commission uses the PPP when allocating Structural Funds to Member States. Structural Funds have been set up to reduce economic disparities among Member States. The main indicator that determines whether a region can apply for funding from the Structural Funds is the regional BPD per capita within the country, which is deflated by the use of PPPs. The International Monetary Fund (IMF) uses the PPPs when deciding on its members' quota. The country's quota determines, among other things, the financial resources that the country is obliged to pay to the IMF.

Geographical information

The European Union (EU-27) includes Belgium, Bulgaria, Denmark, the Czech Republic, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, the Netherlands, Austria, Poland, Portugal, Romania, Slovenia, Slovakia, Finland and Sweden.

Legal basis

- Regulation (EC) No. 1445/2007 of the European Parliament and of the Council of 11 December 2007 establishing common rules for the provision of basic information on Purchasing Power Parities and for their calculation and dissemination

- Commission Regulation (EU) No. 2015/1163 of 15 July 2015 implementing Regulation (EC) No. 1445/2007 of the European Parliament and of the Council as regards the list of basic headings used for Purchasing Power Parities

- Regulation (EU) No. 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union (ESA 2010 Regulation).

Abbreviations          
             
EC European Community
EFTA European Free Trade Association
EU European Union
Eurostat Statistical Office of the European Union
OECD Organisation for Economic Co-operation and Development
GDP Gross Domestic Product
PPP Purchasing Power Parities
AIC Actual Individual Consumption
PPS Purchasing Power Standard

Symbols
 
   
-  no occurrence

 

Published by the Croatian Bureau of Statistics, Zagreb, Ilica 3, P. O. B. 80
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Suzana Šamec, Director of Macroeconomic Statistics Directorate
Lidija Brković, Director General

Prepared by:
Suzana Čajkušić and Mirjana Lepušić

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