Prisons and Prisoners in Europe 2019: Key Findings of the SPACE I report
Marcelo F. Aebi and Mélanie M. Tiago
1. Introduction This document summarises the main findings of the 2019 Council of Europe Annual Penal Statistics on Prison Populations, better known under the acronym SPACE I. The rates and percentages presented here correspond to the European median values and are presented in the text in round numbers unless they are lower than 10; in particular, the rates are calculated on the basis of data weighted by the population of each country (see Methodology for further details). The detailed state-level data are presented in Tables 3 and 4 at the end of the document.
Forty-five (45) of the 52 prison administrations in the 47 Council of Europe member states answered the SPACE I 2019 questionnaire, which corresponds to a participation rate of 87%. The following prison administrations did not answer the questionnaire: Belgium, Bosnia & Herzegovina (State level, Federal level, and Republika Srpska), Georgia, Malta, and Ukraine. However, data concerning the total number of inmates in Belgium, Republika Srpska (Bosnia & Herzegovina), Georgia, Malta, and Ukraine, as well as the total capacity of prison institutions in Belgium, Republika Srpska (Bosnia & Herzegovina), Georgia, and Malta were retrieved from other sources (see comments to Tables 3 and 16 of the SPACE I 2019 for further details) and are therefore included in the calculation of the relevant European median values.
2. Stock indicators: Prisons and Prisoners on 31st January 2019 On 31st January 2019, there were 1,540,484 inmates in the penal institutions of the Council of Europe member states for which data are available. This corresponds to a European prison population rate of 106 inmates per 100,000 inhabitants.
Map 1. Prison population rates (number of inmates per 100,000 inhabitants) on 31st January 2019 (N=50)
24 February 2020
Map 1 visualises prison population rates in six categories (from less than 80 inmates to 250 or more inmates per 100,000 inhabitants) across Europe, while Figure 1 shows the detailed distribution of these rates by country. The highest prison population rates (i.e. more than 250 inmates per 100,000 inhabitants) are found in the Russian Federation, Turkey and Georgia, followed (with rates of more than 200 inmates per 100,000 inhabitants) by Lithuania, Azerbaijan and the Czech Republic; while the lowest prison populations (i.e. less than 80 inmates per 100,000 inhabitants) are distributed across the Scandinavian countries, a few countries of the Balkan region, Germany, the Netherlands, Iceland and Northern Ireland (UK).
Figure 1. Prison population rates (inmates per 100,000 inhabitants) on 31st January 2019 (N=50)
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Characteristics of the inmates held in European penal institutions
Age of the prison population The median age of the inmates held in European penal institutions is 35 years. With the exception of Finland — where the median age of the inmates is 25 years— in countries with at least one million inhabitants, this age varies from 31 to 39 years (see SPACE I, Table 6). Fifteen percent (15%) of the inmates are aged 50 or over (see SPACE I, Table 6). Thirty-nine prison administrations provided data on this indicator of the ageing of European prison populations, which is presented in Figure 2. The presence of a relatively high percentage of inmates aged fifty or over is not directly associated with the ranking of the country in other indicators presented in this study, such as the average length of imprisonment (Figure 12), the prison population rate (Figure 1), or the percentage of inmates sentenced for drug offences (Figure 8). When one compares this indicator with the ones presented in Table 1 below, it can be seen, for example, that the prison population rate and the average length of imprisonment are very low in Norway, which at the same time is among the 5 countries with the highest percentage of inmates aged 50 or over. Conversely, Portugal is also amid these 5 countries, but has a high prison population rate and a very high length of imprisonment. On the other extreme of the distribution, Russia has the lowest percentage of inmates aged 50 or over, but the highest prison population rate. In fact, several of the countries with a low percentage of mature inmates are among the ones with the highest prison population rate (for example, Moldova, Montenegro, Lithuania and Turkey). Figure 2. Percentage of inmates aged 50 or over in the prison population on 31st January 2019 (N=39)
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Gender Ninety-five percent (95%) of the inmates held in Europe are men, and only 5% are women (see SPACE I, Table 7). Although there are differences across countries, the underrepresentation of women in penal institutions is a constant across Europe, as can be observed in Figure 3. In countries with at least one million inhabitants, the highest percentage is only 7.9% (Russian Federation) and the lowest is 2% (Albania).
Figure 3. Percentage of female inmates in the prison population on 31st January 2019 (N=45)
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Nationality Fourteen percent (14%) of the inmates held in Europe are foreigners, but this percentage varies widely across nations. In Eastern European countries, it is usually lower than 5%, while in Central and Western Europe it varies from 2% to 72% in countries with at least one million inhabitants, and from none to 95% in smaller countries. These percentages are presented in Figure 4. More than one third of the foreign inmates held in Europe come from the EU member states (see SPACE I, Table 13). Only a few prison administrations provided data on the resident status of the foreigners held in their prisons. Among them, the percentage of those who have a legal resident status varies from none to 60% (see SPACE I, Table 13).
Figure 4. Percentage of foreign inmates in the prison population on 31st January 2019 (N=42)
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Legal status Twenty-two percent (22%) of the inmates held in European penal institutions are not serving a final sentence (see SPACE I, Table 8). Following the terminology of the Council of Europe, this means that 22% of the inmates are detainees placed in remand on custody (see Recommendation Rec (2006) 13). In practice, however, they are often referred to as detainees placed in pre-trial detention, or simply as pre-trial detainees. The percentage of detainees not serving a final sentence varies broadly across countries, ranging from 2.8% to roughly 48% in countries with at least one million inhabitants, and reaching 83% in smaller countries. These percentages are presented in Figure 5. Disclaimer: Instead of waiting until the end of the appeal process, some countries consider inmates as sentenced prisoners once they receive their first sentence. As a consequence, those who have appealed or are within the statutory limits to do so are not included in the total number of detainees not serving a final sentence. This means that the interpretation of the differences observed in Figure 5 is not straightforward and must take into account the comments provided by each country (see SPACE I, Table 8 and its notes).
Figure 5. Percentage of detainees not serving a final sentence in the prison population on 31st January 2019 (N=45)
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Length of sentence imposed For those inmates who have been sentenced, Figure 6 presents the distribution of the length of the sentences imposed. It can be seen that they are mainly serving sentences from 1 to less than 3 years (27%), from 5 to less than 10 years (20%), and from 3 to less than 5 years (17%). Only 1.3% are serving life imprisonment, and less than 1% are under security measures (for further details, see SPACE I, Table 11).
Figure 6. Distribution of sentenced prisoners according to the length of the sentence they are serving, in percentages, on 31st January 2019 (N=42) 30%
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11.4% 5% 8.2% 4.8% 1.3% 2.0% 0% t r s r rs s s s en e th a a ar ar ar ov n ye e e e e m o 1 y y y y on nd m 0 5 0 3 s a an 2 n 1 n ri s 6 h n a n a p r n t a th a th m a a s th s h s i ye th es s s s t s fe 0 s l s le s le i 2 s o le le L Le t o to to hs t 3 to 1 t 0 5 n 1 m m o ro m ro m om F ro F 6 r F m F ro F Type of offence Figure 7 illustrates the distribution of sentenced prisoners according to the offence for which they were convicted (for further details, see SPACE I, Table 9). It can be seen that 18% of the sentenced prisoners held in European penal institutions have been convicted for drug offences. Prisoners convicted for theft (14%) represent the second largest category, followed by those sentenced for homicide (13%). If one combines all the prisoners serving sentences for offences involving violence (homicide, assault and battery, rape, other sexual offences, and robbery) in a single category, they represent 40% of the prison population.
Figure 7. Distribution of sentenced prisoners according to the offence for which they were sentenced, in percentages, on 31st January 2019 (N=40)
Homicide (including attempts); 13.4% Other offences; 18.2%
Assault and battery; 6.9%
Road traffic offences; 2.9%
Rape; 4.8%
Other types of sexual offences; 4.8%
Drug offences; 18.1%
Robbery; 9.7%
Economic/ financial offences; 3.2% Theft; 14.0%
7
Focus on drug offences Figure 8 presents the upper half of the distribution of countries according to the percentage of prisoners serving sentences for drug offences. It can be seen that, in several countries, prisoners sentenced for that kind of offences represent more than one fourth of the prison population.
Figure 8. Percentage of sentenced prisoners serving sentences for drug offences on 31st January 2019 (upper half of the distribution only) (N=21)
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Prison density and overcrowding According to the information provided by the prison administrations, only 15 of them had a prison density of more than 100 inmates per 100 places. Among these 15 prison administrations, five had a density that was higher than 100 but inferior to 105; while the other ten were experiencing serious overcrowding, with rates of more than 105 inmates per 100 places. These 15 countries are presented in different colours in Figure 9, which shows the distribution of countries according to their prison density.
It must also be mentioned that the level of occupation of the cells varies widely among the countries that provided the relevant data, ranging from 0.7 to 9.6 inmates per cell (See SPACE I, Table 16). This suggests that some penal institutions who are theoretically not experiencing overcrowding may have in practice overcrowded cells. At the continental level, there are roughly 1.4 inmates per cell in Europe.
Disclaimer: Data on prison capacity is provided by the countries and therefore corresponds to their own estimation of it. By definition, there is overcrowding when there are more inmates than the number of places available in penal institutions. In order to define the number of places available (i.e. the capacity of the penal institutions), countries are asked to use the concept of design capacity, which refers to the number of inmates that a penal institution was intended to house when it was constructed or renewed. However, many countries use the concept of operational capacity, which refers to the number of inmates that a penal institution can actually house while remaining functional. As a consequence, the rates concerning prison capacity and overcrowding do not allow reliable cross-national comparisons.
Figure 9. Prison density (number of inmates per 100 detention places) on 31st January 2019 (N=49)
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When the ratio is based on the custodial staff only, it increases to 2.6 inmates per custodian. Finally, if the calculation is restricted to the custodial staff dedicated exclusively to custody, it increases to 2.8 inmates per custodian solely dedicated to custody (See SPACE I, Table 21).
Figure 10. Ratio of inmates per one prison staff member on 31st January 2019 (N=44)
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3. Flow indicators: Admissions, IALI, exits, turnover ratio, and cost of imprisonment during the year 2018
Admissions into penal institutions During the year 2018, there were 776,718 admissions into penal institutions in the 41 prison administrations that provided data for this indicator, representing a European median rate of 146 admissions per 100,000 inhabitants (see SPACE I, Table 23). Figure 11 shows the rate of admissions by country. Cyprus, Sweden, and Switzerland use a definition of admissions than do not comply with that of SPACE; therefore, their rates are not comparable to those of the rest of the prison administrations and are presented in striped bars.
Figure 11. Rate of admissions per 100,000 inhabitants during 2018 (N=41)
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A comparison of the distribution of the prison administrations in Figure 11 with that in Figure 1 reveals that the relationship between the rates of admissions and the prison population rates is not straightforward. Portugal and Spain, for example, have very low rates of admissions, but high prison population rates; on the contrary, the Netherlands and Denmark have very low prison population rates and high or very high rates of admissions (see Table 1). The key factor in that context is the length of imprisonment, which is presented in the next section.
11
Indicator of the average length of imprisonment (IALI) In 2018, the length of imprisonment in Europe was 8 months. The IALI has been calculated on the basis of the stock and flow of inmates as well as on the basis of the total number of days spent in penal institutions (for details, see SPACE I, Part E). Both ways of estimating the IALI provide virtually the same average length of detention. Figure 12 presents the distribution based on the stock and flow of inmates. Going back to our previous comparison, it can be seen that in Denmark and the Netherlands inmates tend to remain in penal institutions for short periods of time, while in Portugal and Spain the average length of imprisonment is very high.
Figure 12. Average length of imprisonment in 2018 (based on the stock and flow of inmates) (N=41)
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Research suggests that lengthy detentions are usually correlated with the punitivity of a criminal justice system or with its slowness. In that perspective, swift criminal justice systems are characterized by short criminal procedures, and the less punitive criminal justice systems tend to impose short sentences and/or facilitate the liberation of inmates. In practice, Figure 12 shows that there are wide differences in the average length of imprisonment observed in Europe.
The length of imprisonment varies also according to the legal status of the inmate. For inmates not serving a final sentence, the average length of imprisonment was almost 5 months; while for sentenced prisoners it was 13 months (see SPACE I, Table 31).
Exits (releases, deaths and escapes) from penal institutions During 2018, there were 860,647 exits in the 41 prison administrations that provided data for this indicator, which corresponds to a European median rate of 114 exits per 100,000 inhabitants (see SPACE I, Table 23).
The vast majority (more than 99%) of the exits in 2018 were due to releases. Escapes represented only 0.1% of the exits, while deaths in penal institutions accounted for 0.3% of them (See SPACE I, Table 26).
Releases: The European median rate was 117 releases per 100,000 inhabitants.
12
Deaths in prison: The European prison mortality rate in 2018 was 28 inmates per 10,000 inmates. The European prison suicide rate in 2018 was 5.7 inmates per 10,000 inmates.
Escapes: The European median rate was 6 escapes per 10,000 inmates.
Turnover ratio The turnover ratio is an estimation of the release rate per 100 potential releases (i.e. the percentage of effective releases from the total number of potential releases). The calculations are based on raw data: the prison population (stock) on 31st January 2019 and the numbers of admissions (flow of admissions) and releases (flow of releases) in 2018. The sum of the stock and the flow of admissions provides an estimation of the total number of inmates likely to be released during the year (i.e. potential releases). This number is then put in relation with the effective number of releases during 2018. A low turnover ratio (less than 50%) implies relatively long periods of custody and could thus be seen as an early warning sign of a risk of prison overcrowding (See SPACE I, Table 27).
The European turnover ratio of the prison population in 2018 was 50%. This indicator concerns the 38 prison administrations that provided data for all the indicators required for the estimation of it, and is presented in Figure 13. Among countries with at least one million inhabitants, it can be seen that those with the lowest turnover ratios usually have high or very high prison population rates (see Table 1).
Figure 13. Turnover ratio in 2018 (N=38)
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13
Cost of imprisonment At the European level, imprisonment costed more than 26 billion Euro in 2018. More precisely, the 43 prison administrations that provided data indicated that the budget spent by their prison administrations in 2018 was 26,067,663,670 Euro.
Forty-two prison administrations provided also the daily amount spent for the detention in custody of one inmate. At the European level, each inmate costed 68 Euro per day.
Disclaimer: The cost of imprisonment does not take into account differences in the cost of living and other economic indicators across countries (e.g. GDP, purchase power, poverty rate, Euro-national currency exchange rate).
4. Overview of the main indicators by country Table 1 shows the relative position of each European prison administration according to their score in a series of selected indicators. The prison administrations are divided in five clusters according to their score on each of these indicators:
1. Very high: This cluster includes the prison administrations whose score is more than 25% higher than the European median value. 2. High: This cluster includes the prison administrations whose score is between 5% and 25% higher than the European median value. 3. Close: This cluster includes the prison administrations whose score is similar (i.e. between -5% and +5%) to the European median value. 4. Low: This cluster includes the prison administrations whose score is between 5% and 25% lower than the European median value. 5. Very Low: This cluster includes the prison administrations whose score is more than 25% lower than the European median value.
For each indicator, the Table specifies the number of prison administrations (PA) for which data are available (e.g. the prison population rate is available for 50 PA, but the percentage of female inmates is available only for 45 of them). This is due to the fact that there are countries that did not provide data for every indicator. Three countries (Bosnia and Herzegovina, Spain and the United Kingdom) have more than one prison administration. Consequently, each prison administration is mentioned separately in Table 1, except when all of them are in the same cluster. In this case, only the name of the country is mentioned (e.g. the percentage of female inmates is not available for the three PA of Bosnia and Herzegovina).
14
Table 1. Ranking of countries according to the main prison indicators, 2019 (or 2018)
Very high High Medium Low Very low (the score is more than 25% (the score is between 5.1% and (the score is close to the (the score is between 5.1% and (the score is more than 25% lower No data available higher than the European median 25% higher than the European European median value, i.e. 25% lower than the European than the European median value) value) median value) between-5% and +5%) median value)
STOCK indicators on 31st January 2019 Albania, Azerbaijan, Czech Republic, Andorra, Armenia, Croatia, Bosnia & Estonia, Georgia, Hungary, Latvia, Austria, Bulgaria, France, Herzegovina (Republika Srpska), Portugal, Spain (total), Spain Prison population rate per Lithuania, Moldova, Montenegro, Luxembourg, Malta, North Belgium, Cyprus, Greece, Ireland, Denmark, Germany, Iceland, Bosnia & Herzegovina (State Administration) and 100,000 inhabitants (50 PA) Poland, Russian Federation, Serbia, Macedonia, Romania and Spain Italy and Switzerland. Liechtenstein, Monaco, Netherlands, (State and Federal level). Ukraine. Slovak Republic, Turkey, UK: England (Catalonia). Norway, San Marino, Slovenia, and Wales and UK: Scotland. Sweden and UK: Northern Ireland Andorra, Czech Republic, Finland, Albania, Armenia, Azerbaijan, Germany, Hungary, Iceland, Latvia, Denmark, Estonia, Ireland, Italy, Belgium, Bosnia & % of female inmates in the Austria, Netherlands, Norway, Croatia, Cyprus, Greece, Bulgaria, France, Liechtenstein, Moldova, Monaco, Portugal, Russian Lithuania, Poland, Romania, Serbia, Herzegovina, Georgia, Malta prison population (45 PA) Sweden and Switzerland. Luxembourg and Slovenia. Montenegro, North Macedonia, and Federation, Slovak Republic and Turkey and UK. and Ukraine. San Marino. Spain*. Albania, Armenia, Azerbaijan, Andorra, Austria, Cyprus, Denmark, Bulgaria, Czech Republic, Hungary, Belgium, Bosnia & Estonia, France, Greece, Iceland, Italy, Latvia, Lithuania, Moldova, North % of foreign inmates in the Finland, Montenegro and Croatia, Ireland and UK: England and Herzegovina, Georgia, Liechtenstein, Luxembourg, Monaco, Macedonia, Poland, Romania, prison population (42 PA) Portugal. Wales. Germany, Malta, Sweden, Netherlands, Norway, Slovenia, Russian Federation, San Marino, Ukraine and UK: Scotland. Spain*, and Switzerland. Serbia, Slovak Republic, Turkey, and UK: Northern Ireland. Armenia, Azerbaijan, Andorra, Estonia, Greece, Bulgaria, Italy, Liechtenstein, Albania, Czech Republic, Denmark, Belgium, Bosnia & Hungary, Netherlands, North Lithuania, Moldova, Montenegro, % of inmates aged 50 or over in Monaco, Norway, Portugal, Slovenia, Austria, Croatia, Cyprus, Slovak Finland, France, Iceland, Ireland, Herzegovina, Georgia, Macedonia, Poland, Serbia, Spain Russian Federation, San Marino, and the prison population (39 PA) Spain (total) and Spain (State Republic and Sweden. Luxembourg, Romania and UK: Germany, Latvia, Malta, (Catalonia) and UK: England and Turkey. Administration). Northern Ireland. Switzerland, Ukraine and Wales. UK: Scotland. Czech Republic, Estonia, Hungary, Albania, Andorra, Armenia, Croatia, Iceland, Lithuania, North Macedonia, Cyprus, Denmark, France, Greece, % of inmates not serving a final Azerbaijan, Bulgaria, Ireland, Poland, Romania, Russian Belgium, Bosnia & Italy, Latvia, Liechtenstein, sentence in the prison Norway and Slovenia. Austria, Finland and Germany. Moldova, Portugal, Spain (Catalonia), Federation, San Marino, Serbia, Herzegovina, Georgia, Malta Luxembourg, Monaco, Montenegro, population (45 PA) Turkey and UK: Scotland. Slovak Republic, Spain (total), Spain and Ukraine. Netherlands, Sweden, Switzerland (State Administration) and UK: and UK: Northern Ireland. England & Wales. Albania, Bulgaria, Croatia, Estonia, Austria, Cyprus, Czech Republic, Azerbaijan, Germany, Ireland, Georgia, Iceland, Lithuania, North Andorra, Armenia, Bosnia & Denmark, Finland, Greece, Malta, Luxembourg, Montenegro, Bosnia & Herzegovina Prison density per 100 places Belgium, France, Hungary, Italy, Macedonia, Russian Federation, Herzegovina (Republika Srpska), Moldova, Netherlands, Portugal, Norway, Poland, Slovak Republic, (State and Federal level) (49 PA) Romania and Turkey. Spain (total), Spain (State Latvia, Liechtenstein, Monaco and Serbia, Slovenia, UK: England & Spain (Catalonia), Sweden and and Ukraine. Administration) and UK: Northern San Marino. Wales & UK: Scotland. Switzerland. Ireland. Austria, Greece, Moldova, Albania, Andorra, Armenia, Czech Republic, Estonia, Germany, Bulgaria, Cyprus, France, Azerbaijan, Belgium, Bosnia Montenegro, North Macedonia, Denmark, Iceland, Ireland, Ratio of inmates per one staff Hungary, Lithuania, Portugal, Romania, Slovenia, Spain Croatia, Finland, Italy, Latvia, & Herzegovina, Georgia, Poland, Russian Federation, Serbia, Liechtenstein, Monaco, Netherlands, member (44 PA) Slovak Republic, Spain (total) and (Catalonia) and UK: England and Luxembourg, and Switzerland. Malta and Ukraine. Spain (State Administration) and Norway, San Marino, Sweden and UK: Scotland. Wales. Turkey. UK: Northern Ireland.
Very high High Medium Low Very low (the score is more than 25% (the score is between 5.1% and (the score is close to the (the score is between 5.1% and (the score is more than 25% lower No data available higher than the European median 25% higher than the European European median value, i.e. 25% lower than the European than the European median value) value) median value) between-5% and +5%) median value) FLOW indicators for the year 2018 Armenia, Belgium, Bosnia & Bulgaria, Croatia, Cyprus, Denmark, Azerbaijan, Czech Republic, Finland, Ireland, Liechtenstein, Herzegovina, Georgia, Rate of admissions per 100,000 Hungary, Lithuania, Monaco, Austria, Estonia, France, Germany Greece, Iceland, Italy, Moldova, North Luxembourg, Netherlands and Albania, Andorra and Norway. Latvia, Malta, Russian habitants in 2018 (41 PA) Montenegro, Poland, Serbia, and Slovenia. Macedonia, Portugal, Romania, San Slovak Republic. Federation, Turkey and Switzerland and UK. Marino, Spain* and Sweden. Ukraine. Belgium, Bosnia & Bulgaria, Cyprus, Ireland, Lithuania, Azerbaijan, Greece, Hungary, Iceland, Armenia, Czech Republic, Finland, Herzegovina, Georgia, Rate of releases per 100,000 Luxembourg, Monaco, Montenegro, Albania, Andorra, Croatia, Estonia, Austria, Denmark Slovak Republic Italy, Portugal, Romania, San Marino, France, Moldova, North Macedonia Germany, Latvia, Malta, habitants in 2018 (41 PA) Netherlands, Poland, Russian Liechtenstein, and Norway. and Slovenia. Spain*, Sweden and UK: Northern and UK: England and Wales. Switzerland, Ukraine and Federation, Serbia and Turkey. Ireland. UK: Scotland. Armenia, Austria, Bulgaria, Croatia, Albania, Andorra, Azerbaijan, Belgium, Bosnia & Cyprus, Denmark, Estonia, Finland, Hungary, Ireland, Liechtenstein, Herzegovina, Georgia, Suicide rate per 10,000 inmates France, Germany, Greece, Iceland, Czech Republic, Lithuania and Latvia and Spain (State Romania, Russian Federation and Luxembourg, Monaco, Montenegro, Malta, Ukraine, UK: in 2018 (43 PA) Italy, Moldova, Netherlands, Portugal, Spain (total). Administration). Slovak Republic. North Macedonia, Norway, Poland, Northern Ireland and UK: Spain (Catalonia), Switzerland and San Marino, Serbia, Slovenia, Sweden Scotland. UK: England and Wales. and Turkey. Albania, Andorra, Bulgaria, Croatia, Austria, Azerbaijan, Denmark, Cyprus, Czech Republic, Estonia, Finland, France, Germany, Greece, Latvia, Liechtenstein, Moldova, Armenia, Belgium, Bosnia & Iceland, Ireland, Italy, Lithuania, Rate of escapes per 10,000 Monaco, Montenegro, Poland, Herzegovina, Georgia, Luxembourg, Netherlands, North Hungary. Portugal and Spain (Catalonia). inmates in 2018 (43 PA) Romania, Russian Federation, Slovak Malta, Ukraine and UK: Macedonia, Norway, San Marino, Republic, Spain (total), Spain (State England and Wales. Serbia, Slovenia, Sweden and Administration), Turkey, UK: Switzerland. Northern Ireland and UK: Scotland. Albania, Austria, Azerbaijan, Czech Bulgaria, Croatia, Cyprus, Denmark, Armenia, Belgium, Bosnia & Average length of Republic, Estonia, France, Greece, Finland, Ireland, Liechtenstein, Herzegovina, Georgia, imprisonment, in months Hungary, Italy, Moldova, North Germany, Luxembourg and Andorra, Iceland, Serbia, Slovenia Monaco, Montenegro, Netherlands, Lithuania. Latvia, Malta, Russian [based on the stock and flow] Macedonia, Poland, Portugal, Sweden. and UK: England and Wales. Norway, San Marino, Switzerland, Federation, Turkey and (41 PA) Romania, Slovak Republic and UK: Northern Ireland and UK: Ukraine. Spain*. Scotland. *When the table only indicates « Spain » it means that the classification is the same for Spain (State Administration), Spain (Catalonia) and Spain (total).
16
5. Annual variations of the stock indicators (2018-2019) and the flow indicators (2017-2018) Table 2 shows the variations of stock indicators from 2018 to 2019, as well as flow indicators from 2017 to 2018. Comparisons are restricted to the prison administrations (PA) for which data are available for both years. This means that the figures included in the Table may not coincide with those included in the SPACE I report or in other sections of this Key Findings. For example, even if the present SPACE I report includes data on admissions and releases in 41 PA during 2018 (see also page 9 of this Key Findings), only 38 of them had provided the relevant data for 2017 (See SPACE I 2018), and therefore the comparison can only be performed between these 38 PA. The number of PA that provided data for both years is indicated between brackets for each indicator.
Table 2. Annual variations in stock indicators (2017 to 2018) and flow indicators (2018 to 2019)
% change 2018 2019 2018-2019 Stock indicators
Prison population rate per 100,000 inhabitants (45 PA) 104.0 104.5 0.5
% of female inmates in the prison population (43 PA) 5.08 5.12 0.8
% of foreign inmates in the prison population (38 PA) 15.9 16.6 4.1
Of which: % of foreign inmates from EU countries (36 PA) 32.3 27.5 -14.9
% of inmates not serving a final sentence in the prison populations (41 PA) 22.7 22.4 -1.2
Prison density per 100 places (42 PA) 91.4 88.5 -3.1 Number of overcrowded prison administrations (more than 100 inmates per 100 12 11 -8.3 places) (42 PA) Ratio of inmates per one staff member (42 PA) 1.60 1.63 2.1
Ratio of inmates per custodian solely dedicated to custody (40 PA) 2.9 2.8 -2.2
Sentenced prisoners by offence
% of prisoners sentenced for drug offences (37 PA) 16.8 17.7 5.3
% of prisoners sentenced for theft (37 PA) 15.8 13.0 -17.6
% of prisoners sentenced for homicide (37 PA) 12.9 13.1 1.6
Sentenced prisoners by length of sentence imposed
% of prisoners sentenced to less than one year (37 PA) 14.9 16.3 9.3
% of prisoners sentenced from 1 to less than 3 years (39 PA) 24.4 27.4 12.4
% of prisoners sentenced from 3 to less than 5 years (39 PA) 16.0 16.6 3.5
% of prisoners sentenced from 5 to less than 10 years (39 PA) 17.0 20.0 17.8 % change 2017 2018 2017-2018 Flow indicators
Rate of admissions per 100,000 inhabitants (38 PA) 135.1 138.5 2.5
Rate of releases per 100,000 inhabitants (38 PA) 110.6 115.6 4.5
Average length of imprisonment in months (based on the stock and flow) (38 PA) 8.2 7.7 -5.4
Cost indicator
Total budget spent by the prison administrations (39 PA) 21,132,271,677€ 22,178,618,006€ +5.0 Notes: – PA = prison administration – The number between brackets indicates the number of PA that provided data for both years
Considering that increases up to +5% or decreases up to -5% reflect stability, the annuals variations observed at the European level are summarized below.
The following indicators remained relatively stable: - The prison population rate (+0.5%); - The percentage of female inmates in the prison population (+0.8%); - The percentage of foreign inmates in the prison population (+4.1); - The percentage of inmates not serving a final sentence in the prison population (-1.2%); - The prison density per 100 places (-3.1%); - The ratio of inmates per one staff member (+2.1); - The ratio of inmates per custodian solely dedicated to custody (-2.2%); - The percentage of prisoners sentenced for homicide (+1.6%); - The percentage of prisoners sentenced from 3 years to less than 5 years (+3.5%); - The rate of admissions per 100,000 inhabitants (+2.5%); - The rate of releases per 100,000 inhabitants (+4.5%); - The total budget spent by the prison administrations (+5.0%).
The following indicators registered a decrease: - The percentage of foreign inmates from EU countries (-15%); - The number of PA experiencing overcrowding (-8.3%); - The percentage of prisoners sentenced for theft (-18%); - The average length of imprisonment in months estimated on the basis of the stock and flow of inmates (- 5.4%).
The following indicators registered an increase: - The percentage of prisoners sentenced for drug offences (+5.3%); - The percentage of prisoners sentenced from 1 year to less than 3 years (+12%); - The percentage of prisoners sentenced from 5 years to less than 10 years (+18%).
18
At the individual level, Figure 14 shows the annual variation of the prison population rate in the 45 prison administrations (PA) that provided data for 2018 and 2019. When the two Spanish PA are analysed separately, it can be seen that the prison population rate was stable in 24 PA (presented in yellow in Figure 14), increased in only 9 PA (presented in red in Figure 14), and decreased in 12 PA (presented in green in the Figure 14).
Figure 14: Percentage change in prison population rates (2019 compared to 2018) in 45 prison administrations
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6. Trends from 2009 to 2019 Figure 15 shows the trends observed in the European median and average prison population rates from 2009 to 2019 (see Methodology for details on the exclusion of the year 2017). Forty-nine prison administrations (detailed below in Figure 16) provided the necessary data for the computation of these indicators. The values for a few missing years were estimated using linear interpolation, which explains slight differences with rates presented elsewhere. The first part of the series is taken from the study Prisons in Europe 2005-2015 (Aebi et al., 2019), available on the SPACE website, which updated the whole SPACE series for the years 2005 to 20151.
As can be seen in Figure 15, the median European prison population rate increased from 2009 to 2013 and decreased after that, in such a way that the rate of 2019 is lower than that in 2009. If the comparison is based on the average European prison population rate, the only difference is that this rate started decreasing one year before (in 2012 instead of 2013).
Figure 15. Trends in the prison population rates of 49 prison administrations from 2009 to 2019 160
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20
Figure 16 presents the situation at the individual level, indicating the percentage change in the prison population rates of the 49 prison administrations under study. For example, in 2019 the prison population rate of Armenia was 36% lower than that in 2009, while the rate of Albania in 2019 was 16% higher than that in 2009.
Following once more the logic of considering increases and decreases up to 5% as a synonym of relative stability, the situation can be summarized as follows: - Three (3) prison administrations show a higher prison population rate in 2019 than in 2009. - Thirty-six (36) prison administrations show a lower prison population rate in 2019 than in 2009. - Ten (10) prison administrations show a stable situation, in the sense that their rates in 2019 are similar to those in 2009.
Figure 16. Percentage change in prison population rates (2019 compared to 2009) in 49 prison administrations
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Finally, Figure 17 shows the trends observed in the European median and average rates of admissions and releases from 2009 to 2018 (see Methodology for details on the exclusion of the year 2016). Thirty-one prison administrations provided the necessary data for the computation of these indicators. The values for a few missing years were estimated using linear interpolation, which explains slight differences with rates presented elsewhere. As in the case of Figures 15 and 16, the first part of the series is taken from the already mentioned study Prisons in Europe 2005-2015 (Aebi et al., 2019), available on the SPACE website, which updated the whole SPACE series for the years 2005 to 2015 (see footnote 1). It can be seen that:
- The rate of admissions followed a downward trend from 2009 to 2018, independently of the indicator (average or median) analysed. - The average rate of releases remained relatively stable from 2009 to 2012 before decreasing until 2017, while the median rate suggests that the stability lasted roughly until 2014-15.
Figure 17. Trends in the rates of admissions and releases of 31 prison administrations from 2009 to 2018 250
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22
7. Methodology Unless stated otherwise, this document presents, for each indicator, the European median value. The median is the value that divides the data in two equal groups so that 50% of the countries are above the median and 50% are below it. The median is preferred to the arithmetic mean (commonly referred to as the average) because the latter is extremely sensitive to very high or very low values (technically known as outliers), which entail unreliable indicators and instable time series. Outliers are quite common in the sample of countries included in the SPACE report because some member States, like Liechtenstein, Monaco or San Marino, have a very low population and, as a consequence, a change in only one person can have a big impact on its percentages, rates, and trends.
For example, San Marino only had 1 inmate on 31st January 2019, and that person was a national citizen who had received a final sentence. This corresponds to percentages of 100% for national inmates and 100% for sentenced inmates; but the addition of only one inmate could decrease these percentages by 50% (if the additional inmate was a foreign citizen not serving a final sentence). Conversely, as San Marino has a population of 34,590 inhabitants, its prison population rate corresponds to 2.9 inmates per 100,000 inhabitants (i.e. it is higher than the real number of inmates and inhabitants), but the addition of only one inmate would increase it to 5.8 per 100,000 inhabitants. This problem is particularly relevant in a longitudinal perspective (i.e. when establishing time series or trends), because if a similar increase (in one inmate) takes place from one year to the other, it would represent a growth of 100% of the prison population. In addition, when calculating indicators for the continent, the inclusion of a percentage of 100% for one country artificially increases the European average for the indicator being measured. Something similar happens with other indicators such as the rate of escapes, which in the case of San Marino reached in 2018 the absurd number of 20,000 escapes per 10,000 inmates because there was one person deprived of freedom on 31st January 2019, but two had escaped during 2018. The European median values are weighted according to the population and the number of inmates in each country. This means that they are estimated on the basis of the percentages and rates per 100,000 inhabitants of each country and not on the absolute numbers for the whole continent. Using the latter would produce different values, which could hide the diversity observed across countries. For example, on 31st January 2019, there were 1,540,484 inmates in the penal institutions of the 50 PA of the Council of Europe member states whose data on prison population rates are presented in the 2019 SPACE I report. At the same time, the total population of the territories in which these PA are located was 832 million inhabitants, which would lead to a prison population rate of 185 inmates per 100,000 inhabitants. However, when the European median value is estimated on the basis of the population and the number of inmates of each country (i.e. on the basis of the prison population rate of each country), it corresponds to 106 inmates per 100,000 inhabitants, as stated at the beginning of this document. While the Tables and Figures include decimals, in the comments all values equal or superior to 10 are in principle presented in round numbers (i.e. without decimals), while those inferior to 10 are presented with one decimal.
In order to avoid duplication of data, the total for the whole territory of Spain (which corresponds to the addition of the data for the National Administration and the Catalan Administration) is not included in the computation of the average and median European values. Whenever Bosnia and Herzegovina is represented in maps, data refer only to the Republika Srpska, which is the only prison administration of the country for which data concerning the prison population rate are available for 2019.
23
Since the 2018 SPACE I report, the date of reference for stock indicators refers to 31st January of the year preceding the publication instead of 1st September of the year before that one, as it was the case from 1983 to 2016. The aim of that change of date is to publish the latest available data. This means that there are no data available for 31st January 2017, although the data on 1st September 2016 could be considered as an acceptable proxy of the situation on 31st January 2017. In the case of flow indicators, the consequence of the change of date is that there are no data available for the year 2016. Researchers interested in establishing time series can interpolate the value for 2016 on the basis of those observed in 2015 and 2017. In Figures 15 and 17 we have preferred, however, not to interpolate these missing years.
Suggested citation [APA norms]:
Aebi, M. F. & Tiago, M. M. (2020). Prisons and Prisoners in Europe 2019: Key Findings of the SPACE I report. Strasbourg: Council of Europe.
© Council of Europe & University of Lausanne, 2020 Reproduction is authorised, except for commercial purposes, provided that the source is acknowledged.
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Table 3. Stock indicators on 31st January 2019 % of % of % of % of % of % of Total number Prison % of inmates % of prisoners prisoners prisoners % of foreign inmates prisoners % of Ratio of of inmates population female without a prisoners whose whose whose Prison inmates in aged 50 or sentenced prisoners inmates per Country (including rate per inmates in final sentenced sentence sentence sentence density per the prison over in the for homicide sentenced one staff pre-trial 100,000 the prison sentence in for drug ranges from ranges from ranges from 100 places population prison (including for theft member detainees) inhabitants population the prison offences 1 to less 3 to less 5 to less than population attempts) population than 3 years than 5 years 10 years Albania 5 280 184.5 2.0 1.9 11.4 40.7 27.4 8.1 31.8 10.9 22.7 26.8 84.7 1.2 Andorra 56 73.5 8.9 58.9 16.1 57.1 29.2 4.2 87.5 8.3 8.3 12.5 39.4 0.7 Armenia 2 266 76.4 3.2 5.2 NA 41.0 NA NA NA 8.2 23.5 38.6 42.4 1.1 Austria 9 351 105.6 6.2 54.7 14.5 22.4 *** NA NA 31.2 17.4 13.7 105.8 2.4 Azerbaijan 21 926 218.2 2.9 2.1 NA 16.9 14.0 12.0 28.3 NA NA NA 86.0 NA Belgium 10 883 94.9 120.6 BH: BiH (total) BH: BiH (st. level) BH: Fed. BiH BH: Rep. Srpska 762 66.4 50.9 Bulgaria 7 466 106.7 3.0 3.0 35.2 19.1 13.8 30.2 10.3 31.0 15.6 13.7 78.7 1.7 Croatia 3 217 78.9 5.3 12.1 14.1 31.0 15.4 22.5 7.7 31.2 16.8 16.8 80.0 1.2 Cyprus 723 82.5 5.1 43.6 14.7 30.4 10.7 9.8 27.8 25.9 15.4 26.3 98.1 1.7 Czech Rep. 21 577 202.6 7.6 8.2 13.8 8.4 NA NA NA 37.3 17.2 15.7 102.5 1.9 Denmark 4 003 68.9 4.3 28.2 11.0 38.2 7.4 8.9 22.0 31.6 13.8 14.6 103.6 0.9 Estonia 2 399 181.1 4.8 35.1 17.1 15.1 16.3 9.6 27.4 27.6 22.4 24.8 77.5 2.0 Finland 2 748 49.8 7.0 17.9 11.4 22.9 20.5 10.0 19.5 29.2 18.8 16.1 94.6 1.2 France 70 059 104.5 3.6 23.1 11.9 29.0 10.0 17.6 18.5 34.3 14.4 13.6 116.5 1.7 Georgia 10 042 269.7 80.4 Germany 63 643 76.7 6.9 NA NA 21.9 7.3 23.9 12.9 NA NA NA 85.6 1.7 Greece 10 613 99.0 5.3 54.9 16.5 31.1 NA NA NA 1.9 6.6 29.5 106.8 2.4 Hungary 16 560 169.5 7.3 4.6 16.0 2.8 10.3 20.7 10.1 32.0 19.7 25.7 114.5 2.0 Iceland 144 40.3 7.6 21.5 11.1 13.2 12.3 5.7 34.4 30.3 9.0 11.5 83.7 1.1 Ireland 3 983 81.2 4.5 13.6 12.8 20.4 13.7 17.5 12.0 23.6 19.3 21.7 93.9 1.1 Italy 60 125 99.6 4.3 33.8 24.7 32.8 17.3 5.4 31.8 19.5 22.1 26.8 118.9 1.4 Latvia 3 522 183.4 7.8 2.4 NA 27.9 23.5 49.9 46.9 19.7 20.8 27.5 59.8 1.4 Liechtenstein 12 31.3 0.0 75.0 33.3 83.3 0.0 0.0 0.0 50.0 0.0 50.0 60.0 0.8 Lithuania 6 485 232.1 4.7 1.9 9.3 9.3 26.3 12.6 13.8 24.3 15.0 23.3 81.0 1.9 Luxembourg 664 108.2 5.1 74.4 13.3 48.6 16.5 11.8 18.6 31.9 12.4 15.0 93.4 1.5 Malta 660 133.7 107.0 Moldova 6 990 197.0 6.5 1.2 7.1 18.1 29.4 17.0 10.7 8.7 15.2 37.9 103.8 2.5 Monaco 21 54.8 14.3 95.2 19.0 76.2 0.0 60.0 0.0 40.0 0.0 20.0 22.3 0.3 Montenegro 1 154 185.5 2.6 15.3 9.1 29.2 17.1 26.6 20.9 27.4 14.4 15.4 87.1 2.2 Netherlands 9 753 56.4 5.7 23.1 16.1 42.6 13.1 13.0 17.7 28.7 8.6 10.2 97.3 1.0
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% of % of % of % of % of % of Total number Prison % of inmates % of prisoners prisoners prisoners % of foreign inmates prisoners % of Ratio of of inmates population female without a prisoners whose whose whose Prison inmates in aged 50 or sentenced prisoners inmates per Country (including rate per inmates in final sentenced sentence sentence sentence density per the prison over in the for homicide sentenced one staff pre-trial 100,000 the prison sentence in for drug ranges from ranges from ranges from 100 places population prison (including for theft member detainees) inhabitants population the prison offences 1 to less 3 to less 5 to less than population attempts) population than 3 years than 5 years 10 years North Macedonia 2 144 103.2 3.3 6.7 16.0 13.7 12.9 20.4 13.9 25.3 19.4 21.2 70.9 2.8 Norway 3 227 60.6 6.0 31.1 20.4 25.9 8.7 5.1 24.3 27.4 16.6 15.2 88.5 0.8 Poland 72 204 190.1 4.1 1.4 15.6 10.2 7.2 26.3 3.6 35.7 15.6 10.5 85.8 2.5 Portugal 12 867 125.2 6.4 15.2 21.0 17.1 7.8 16.8 15.7 15.5 18.9 35.6 99.5 1.9 Romania 20 689 106.6 4.6 1.2 13.2 9.3 24.4 17.9 4.4 20.6 25.6 27.9 113.1 1.6 Russian Fed. 563 166 386.1 7.9 6.2 7.0 9.2 19.7 14.9 28.0 19.5 22.2 34.7 73.3 2.2 San Marino 1 2.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 100.0 0.0 0.0 12.5 0.1 Serbia 10 871 156.1 4.1 2.9 15.6 15.6 9.8 25.0 24.2 25.5 24.1 20.3 105.5 2.7 Slovak Rep. 10 294 188.9 7.5 2.0 15.3 15.3 6.8 12.2 12.2 27.8 17.4 24.4 89.5 1.8 Slovenia 1 396 67.1 5.3 20.1 19.2 23.8 9.7 27.5 14.2 35.3 17.3 16.7 104.3 1.6 Spain (total) 58 983 125.7 7.5 28.1 19.5 15.7 7.7 4.1 18.2 19.7 20.4 26.7 71.7 2.0 Spain (State 50 612 128.7 7.6 25.3 19.7 15.4 7.3 2.1 18.7 20.0 20.5 26.3 69.6 2.1 Administration) Spain (Catalonia) 8 371 110.1 7.1 44.9 17.8 17.3 9.7 15.9 15.4 18.0 19.9 29.2 87.8 1.6 Sweden 6 109 59.7 5.6 NA 14.6 28.1 14.9 7.1 23.4 36.4 17.7 15.0 93.4 0.8 Switzerland 6 943 81.3 5.7 72.1 NA 47.7 14.0 18.8 18.7 19.7 16.6 9.1 93.9 1.5 Turkey 269 806 329.0 3.9 3.3 10.9 20.4 14.3 27.5 23.0 9.9 12.2 27.8 122.5 4.9 Ukraine 52 973 125.7 UK: Eng. & Wales 82 236 137.9 4.6 11.1 16.5 11.3 9.7 12.9 15.0 16.9 12.9 20.7 96.7 1.6 UK: N. Ireland 1 504 79.2 4.3 9.3 13.2 35.4 15.6 9.8 9.1 23.4 12.9 17.8 79.0 1.0 UK: Scotland 7 984 146.0 4.5 NA NA 20.5 NA NA NA NA NA NA 103.4 1.9 Average 125.9 5.3 22.9 15.3 25.9 13.6 16.4 19.4 27.5 15.8 20.9 87.1 1.6 Median 106.1 5.1 14.4 14.7 21.9 13.4 14.0 18.1 27.4 16.7 20.2 89.5 1.6 Minimum 2.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.2 0.0 0.0 12.5 0.1 Maximum 386.1 14.3 95.2 35.2 83.3 29.4 60.0 87.5 100.0 25.6 50.0 122.5 4.9
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Table 4. Flow indicators for the year 2018 Rate of Rate of Average length of Rate of Suicide admissions Rate of exits escapes imprisonment Total budget spent releases per Turnover rate per Country per per 100,000 per (based on the by the prison 100,000 ratio 10,000 100,000 inhabitants 10,000 stock and the administration inhabitants inmates inhabitants inmates flow) Albania 151.9 137.4 136.5 40.7 1.9 0.0 14.6 45 308 227.00 € Andorra 141.8 137.7 137.7 64.6 0.0 0.0 5.2 3 854 275.30 € Armenia NA 89.1 88.7 NA 8.8 NA NA 15 158 016.00 € Austria 123.4 120.4 119.4 51.9 12.8 41.7 10.0 493 762 858.32 € Azerbaijan 71.8 86.7 85.7 29.2 1.8 0.0 NA 47 106 913.00 € Belgium BH: BiH (total) BH: BiH (st. level) BH: Fed. BiH BH: Rep. Srpska Bulgaria 252.2 88.6 289.3 81.2 0.0 0.0 NA 13 938 764.00 € Croatia 200.2 187.4 125.2 45.2 9.3 0.0 NA 69 124 113.24 € Cyprus 776.0 147.8 147.8 17.0 13.8 0.0 1.2 17 723 823.00 € Czech Rep. 100.7 103.0 102.6 33.7 6.5 0.0 24.5 419 798 991.00 € Denmark 197.4 118.4 117.1 43.8 12.5 169.9 3.9 459 060 000.00 € Estonia 135.3 144.6 144.0 45.3 16.7 0.0 16.8 53 604 395.00 € Finland 100.5 102.5 101.3 67.3 7.3 229.3 5.8 182 975 000.00 € France 113.8 103.9 103.3 47.4 14.7 35.3 11.2 2 704 981 650.64 € Georgia Germany 114.8 63.3 NA NA 12.9 55.3 8.1 3 225 652 749.00 € Greece 98.1 82.9 82.6 42.0 7.5 10.4 11.7 113 997 940.00 € Hungary 189.4 204.0 0.8 0.2 1.8 6.6 NA 235 088 625.00 € Iceland 75.1 84.4 83.8 70.9 69.4 69.4 6.3 14 496 060.00 € Ireland 164.6 161.4 161.0 64.6 2.5 17.6 5.8 352 690 000.00 € Italy 78.3 83.5 83.0 46.8 10.1 21.8 14.9 2 879 135 274.00 € Latvia NA NA NA NA 5.7 0.0 NA 54 554 891.00 € Liechtenstein 164.2 133.8 133.8 68.0 0.0 0.0 2.0 NA Lithuania 300.9 NA 173.4 32.7 6.2 9.3 9.4 695 240 000.00 € Luxembourg 155.6 174.3 171.3 63.4 0.0 241.0 8.2 60 300 937.19 € Malta Moldova 91.2 107.2 106.4 36.9 8.6 1.4 25.9 26 904 870.00 € Monaco 339.4 349.6 349.6 90.1 0.0 0.0 2.7 3 412 360.44 € Montenegro 425.6 425.5 424.4 69.5 0.0 0.0 5.2 10 086 836.33 € Netherlands 178.5 178.3 175.8 74.4 9.2 414.2 3.7 701 892 000.00 € North Macedonia 88.6 106.6 99.1 51.6 0.0 191.2 14.4 18 279 485.00 € Norway 145.8 139.6 139.0 66.9 3.1 93.0 5.3 409 586 022.00 € Poland 204.4 208.9 208.6 52.9 3.3 0.3 5.9 726 211 404.39 € Portugal 47.4 53.6 52.9 30.7 8.5 6.2 32.4 269 874 174.00 € Romania 54.6 68.0 67.7 42.2 4.8 4.4 31.0 295 301 288.00 € Russian Fed. NA 192.7 191.0 NA 5.0 1.7 NA 3 515 102 931.65 € San Marino 60.7 66.5 60.7 95.5 0.0 (20 2.1 551 388.00 € Serbia 303.6 299.7 298.3 65.2 0.0 000.039.6) 6.1 83 338 290.00 € Slovak Rep. 160.3 123.0 123.0 35.2 4.9 3.9 NA 173 848 491.00 € Slovenia 115.5 114.0 114.0 62.0 0.0 35.8 8.3 39 877 804.46 € Spain (total) 73.6 80.5 80.1 39.9 6.4 3.6 20.6 1 589 327 950.70 € Spain (State Adm.) 73.8 83.8 83.4 41.0 5.9 3.2 21.1 1 142 970 617.70 € Spain (Catalonia) 72.6 63.1 62.7 34.0 9.6 6.0 18.3 446 357 333.00 € Sweden (87.3) 85.6 85.6 57.6 3.3 209.5 7.9 723 089 688.00 € Switzerland (604.2) NA NA NA 8.6 230.4 1.6 NA Turkey NA NA 280.9 NA 1.6 0.3 NA 1 183 254 371.91 € Ukraine UK: Engl. & Wales 222.9 105.6 105.1 32.4 11.2 NA 7.5 3 609 000.00 € UK: North. Ireland 227.9 7.3 7.3 74.5 0.0 4.1 143 422 000.00 € UK: Scotland 404.5 547.3 NA NA 2.5 4 388 100 000.00 € Average (185.7) 143.4 137.2 51.8 7.2 (515.1) 10.2 Median 145.8 114.0 117.1 49.5 5.7 6.0 7.7 Minimum 47.4 7.3 0.8 0.2 0.0 0.0 1.2 Maximum 776.0 547.3 424.4 95.5 69.4 (20 32.4 000.0)