Demunter, Christophe

Dimitrakopoulou, Krista

Archive of European Integration

Industry, trade and services Statistics in focus 32/2013Author: Christophe DEMUNTER, Krista DIMITRAKOPOULOUISSN: 2314-9647Catalogue number: KS-SF-13-032-EN-NOne in seven businesses belong to the tourismindustriesTourism industries - economic analysisThis article presents recent statistics on the tourism industries in the European Union (EU) . While tourismstatistics traditionally focus on either the accommodation sector or the demand side (from a household per-spective), and relate mainly to physical flows (arrivals or nights spent at tourist accommodation establishmentsor trips made by residents of a country), this analysis is based on economic data extracted from other areas ofofficial statistics, in particular structural business statistics (SBS) and short-term business statistics (STS) .Thus a more complete economic picture can be drawn of this sector, which is an important motor for manycountries’ economies and labour markets.Table 1: List of tourism characteristic activitiesThe publication ’ International Recommendations for Tourism Statistics 2008 ’ lists ten internationally compa-rable activities and two country-specific ones for the tourism sector, also called ’tourism industries’ or ’tourismcharacteristic activities’. This article focuses on the former, the internationally comparable ones (see Table 1for an overview and their corresponding ISIC and NACE codes). Except for the ones in the area of culture,sports and recreation, these activities are covered by SBS.The reader is strongly encouraged to consult the ’ Data sources and availability ’ section before using thepresented data, in order to avoid overestimating the economic importance of tourism for some industries.Main statistical findingsThe discussion below refers to four selected indicators: number of enterprises , number of persons employed ,turnover and value added at factor cost – firstly at EU level, secondly at country level.In 2010, more than one in seven enterprises in the European non-financial business economy belonged to thetourism industries (see Table 2, Table 3, Figure 1). These 3.4 million enterprises employed an estimated 15.2million persons. Enterprises in industries with tourism related activities accounted for 11% of the personsemployed in the non-financial business economy and 29% of persons employed in the services sector.Table 2: Key economic indicators for the tourism industries, EU-28, 2010 - Source: Eurostat(sbs_na_sca_r2), (sbs_na_1a_se_r2)eurostat Statistics in focus 32/2013 2The tourism industries’ shares in total turnover and value added at factor cost were relatively lower, with thetourism industries accounting for 6% of the turnover and 9% of the value added of the non-financial businesseconomy. These figures very likely reflect - among other explanations - the higher share of micro, small andmedium-sized enterprises and of the level of part-time employment in some typical tourism industries.Table 3: Key economic indicators for the tourism industries, percentages, EU-28, 2010 - Source:Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)As explained in the "Data sources and availability" section, tourism industries do not provide services only totourists. Their employment, turnover, etc. can also be related to services provided to non-tourists. In Tables2 and 3, the subdivision “mainly tourism” and “partially tourism” tries to take this into account. For instance,3 million persons are employed in industries that are assumed to serve predominantly tourists while 12 millionpersons are employed in industries where the customers are likely to be a mix of tourists and non-tourists.eurostat Statistics in focus 32/2013 3Analysis by subsectorsMore than one in two enterprises in the tourism industries operated in accommodation (NACE I55) or food andbeverage serving activities (NACE I56), 8% and 44% respectively (see Table 2, Table 3, Figure 1). When lookingat the number of persons employed, the weight of these activities was even more pronounced representing nearly2 out of every 3 jobs in the tourism industries. However, in terms of turnover and value added, their share was34%, while the share of real estate activities (NACE L68) accounted for 32% of the turnover and 40% of thevalue added at factor cost generated by the tourism industries.Figure 1: Number of enterprises, number of persons employed, turnover and value added atfactor cost, EU-28, 2010 - Source: Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)The turnover of passenger transport related industries (parts of NACE H49, H50, H51) represented 18% of theturnover for all tourism industries: nearly half of this share cam from the subsector of passenger air transport(NACE H5110).Travel agencies (NACE N7911) and tour operators (NACE N7912) recorded a turnover of 75 billion and 64billion euro respectively in 2010. The two activities taken together represented 11% of the turnover in tourismindustries, as compared to a 4% share in value added at factor cost, a 3% share in employment and a 2% sharein number of enterprises.eurostat Statistics in focus 32/2013 4Geographical analysisOut of the 3.4 million enterprises in the tourism industries in the EU in 2010, 56% were located in four MemberStates: 561 319 in Italy, 473 932 in Spain, 438 861 in France and 426 330 in Germany (see Table 4).Table 4: Number of enterprises, 2010 - Source: Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)In terms of employment (see Table 5), Germany recorded 2.7 million persons employed in the tourism industries,followed by the United Kingdom (2.5 million), Italy (1.8 million) and Spain (1.7 million) (no data availablefor France). The highest shares of employment in the tourism industries in the total non-financial businesseconomy were observed in Ireland (18%) and the Netherlands (15%), followed by Austria, the United Kingdomand Spain (14%) (note that data on total employment in the tourism industries is missing for a significantnumber of countries).eurostat Statistics in focus 32/2013 5Table 5: Number of persons employed, 2010 - Source: Eurostat (sbs_na_sca_r2),(sbs_na_1a_se_r2)The availability of the monetary indicators is very fragmented, but for Germany, the biggest EU economy,turnover and value added of the tourism industries amounted to 228 billion and 110 billion euro respectively(see Table 6, Table 7). Expressed as share of the total non-financial business economy, the German tourismindustries accounted for 5% of the total turnover and 9% of the total value added at factor cost.eurostat Statistics in focus 32/2013 6Table 6: Turnover or gross premiums written, 2010 (in million EUR) - Source: Eurostat(sbs_na_sca_r2), (sbs_na_1a_se_r2)eurostat Statistics in focus 32/2013 7Table 7: Value added at factor cost, 2010 (in million EUR) - Source: Eurostat (sbs_na_sca_r2),(sbs_na_1a_se_r2)Infra-annual analysisThe above sections were based on structural business statistics (SBS). While SBS is a rich and comprehensivesource of information on European businesses, one of its limitations is the one year reference period of the data.Compared to other branches of the economy, the tourism sector has a relatively strong seasonal component,hence the need for infra-annual data to complete the analysis. Short-term business statistics provide monthlyand quarterly indices for a subset of tourism industries.eurostat Statistics in focus 32/2013 8Figure 2: Monthly working day adjusted turnover for NACE divisions I55 and I56 and monthlynights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and ho-tels and similar accommodation (NACE class 55.10) (index=average for 2010), EU-28 - Source:Eurostat (sts_setu_m), (tour_occ_nim)Figure 2 shows for the EU-28, for the period January 2007 to January 2013, both the monthly evolution of theworking days adjusted turnover (2010 index = 100) for accommodation and for food and beverage services, andthe monthly evolution of nights spent in hotels and similar establishments and in all tourist accommodationestablishments. Figures 3 to 12 show, for the period January 2010 to September 2013, the country detail forten countries where monthly data (even fragmented) is available for the two industries mentioned above as wellas for travel agencies and tour operators.Figure 3: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), CzechRepublic - Source: Eurostat (sts_setu_m), (tour_occ_nim)eurostat Statistics in focus 32/2013 9Figure 4: Monthly working day adjusted turnover for NACE divisions I55 and I56 and monthlynights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotelsand similar accommodation (NACE class 55.10) (index=average for 2010), Germany - Source:Eurostat (sts_setu_m), (tour_occ_nim)For the EU-28 aggregate and in most of the countries for which data is available, the seasonality of the turnoverin accommodation correlates well with the physical indicator of the number of overnight stays. The accom-modation sector showed the most pronounced seasonal pattern while for travel agencies and tour operatorsand especially food and beverage services, turnover was less concentrated in the peak (summer) months. Thisobservation can be linked to the methodological issue mentioned in the introduction and under the data sourcesand availability chapter, namely that this analysis covers all services performed by enterprises in the tourismindustries, regardless of whether the final consumer was a tourist; this remark is obviously more relevant forfood and beverage services than for accommodation services.Figure 5: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Spain -Source: Eurostat (sts_setu_m), (tour_occ_nim)eurostat Statistics in focus 32/2013 10Figure 6: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), France -Source: Eurostat (sts_setu_m), (tour_occ_nim)Figure 7: Monthly working day adjusted turnover for NACE divisions I56 and N79 and monthlynights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotelsand similar accommodation (NACE class 55.10) (index=average for 2010), Luxembourg - Source:Eurostat (sts_setu_m), (tour_occ_nim)Figure 8: Monthly gross turnover for NACE divisions I55, I56 and N79 and monthly nightsspent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels andsimilar accommodation (NACE class 55.10) (index=average for 2010), Portugal - Source: Euro-stat (sts_setu_m), (tour_occ_nim)eurostat Statistics in focus 32/2013 11Figure 9: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Romania- Source: Eurostat (sts_setu_m), (tour_occ_nim)Figure 10: Monthly working day adjusted turnover for NACE division N79 and monthly nightsspent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels andsimilar accommodation (NACE class 55.10) (index=average for 2010), Slovenia - Source: Eurostat(sts_setu_m), (tour_occ_nim)Figure 11: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Finland -Source: Eurostat (sts_setu_m), (tour_occ_nim)eurostat Statistics in focus 32/2013 12Figure 12: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 andmonthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), UnitedKingdom - Source: Eurostat (sts_setu_m), (tour_occ_nim)Data sources and availabilityStructural business statistics (SBS) are among the key pillars of business statistics in the European StatisticalSystem (ESS) and describe the structure, main characteristics and performance of economic activities across theEuropean Union. Data is available at a detailed level of economic activities, which allows to identify and selectindustries that are part of the tourism sector. The International Recommendations for Tourism Statistics 2008include in the tourism sector (also: ’tourism industries’ or ’tourism characteristic activities’) ten internationallycomparable activities and two country-specific activities – this article focuses on the former. An overview ofthese activities (and the corresponding codes in the international classifications ISIC and NACE) is given inTable 1. Except for those in the area of culture, sports and recreation, these activities are covered by SBS.It should be pointed out that this approach cannot distinguish between services provided to tourists and tonon-tourists – typical examples include restaurants catering to tourists but also to locals and railway passengertransport used by tourists as well as by commuters. An assessment of the so-called tourism ratio for each ofthese industries is outside the scope of this article. Considering the total turnover or employment will give anoverestimation of the true economic importance of tourism for these industries (but on the other hand, tourismalso contributes to other industries not listed in Table 1). Notwithstanding these shortcomings, SBS data allowsfor an economic analysis of the sector which is not possible using only the traditional tourism statistics.A secondrelevant source within existing business statistics is short-term business statistics (STS). STS can fill the gap ofinformation on turnover or prices where monthly accommodation statistics are limited to evolutions in flows oftourists. As a trade-off with its strong timeliness, STS is available with a lower granularity of activities for ser-vices; as a consequence the further analysis of monthly economic indicators focuses on accommodation (NACEI55), food and beverage service activities (NACE I56) and travel agency, tour operator reservation service andrelated activities (NACE N79).Subsequent versions of this publication will be enriched with additional variables (e.g. full-time equivalentemployment) and breakdowns (e.g. size class) or with data from other sources that were not considered for thisarticle (e.g. Labour Force Survey and Balance of Payments statistics).ContextTourism statistics traditionally focus on the accommodation sector on the one hand and the demand side (froma household perspective) on the other hand. The available tourism statistics relate mainly to physical flows:arrivals or nights spent at tourist accommodation establishments or trips made by residents of a country.This article presents economic data extracted from other areas of official statistics, in particular structuralbusiness statistics (SBS) and short-term business statistics (STS) , in order to provide users with a better eco-nomic analysis of this sector that is an important motor for many countries’ economies and labour market.eurostat Statistics in focus 32/2013 13Further Eurostat informationDatabase• Tourism (tour)Dedicated section• Tourism statistics• Structural business statistics (SBS)• Short term business statistics (STS)Methodology / Metadata• Occupancy in collective accommodation establishments: domestic and inbound tourism (ESMS metadatafile - tour_occ_esms)• Methodological manual for tourism statisticsOther information• Regulation 692/2011 of the European Parliament and of the Council of 6 July 2011 concerning Europeanstatistics on tourism and repealing Council Directive 95/57/EC.• Commission Implementing Regulation 1051/2011 of 20 October 2011 implementing Regulation 692/2011concerning European statistics on tourism, as regards the structure of the quality reports and thetransmission of the data.NotesThis article is available on Statistics Explained at http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Tourism_industries_-_economic_analysisManuscript completed on 18.12.2013 - Data from November 2013© European Union, 2013eurostat Statistics in focus 32/2013 14

Statistics in Focus. Industry, Trade and Services. One in seven businesses belong to the tourism industries. 2013.32

Industry, trade and services Statistics in focus 32/2013
Author: Christophe DEMUNTER, Krista DIMITRAKOPOULOU
ISSN: 2314-9647
Catalogue number: KS-SF-13-032-EN-N
One in seven businesses belong to the tourism
industries
Tourism industries - economic analysis
This article presents recent statistics on the tourism industries in the European Union (EU) . While tourism
statistics traditionally focus on either the accommodation sector or the demand side (from a household per-
spective), and relate mainly to physical flows (arrivals or nights spent at tourist accommodation establishments
or trips made by residents of a country), this analysis is based on economic data extracted from other areas of
official statistics, in particular structural business statistics (SBS) and short-term business statistics (STS) .
Thus a more complete economic picture can be drawn of this sector, which is an important motor for many
countries’ economies and labour markets.
Table 1: List of tourism characteristic activities
The publication ’ International Recommendations for Tourism Statistics 2008 ’ lists ten internationally compa-
rable activities and two country-specific ones for the tourism sector, also called ’tourism industries’ or ’tourism
characteristic activities’. This article focuses on the former, the internationally comparable ones (see Table 1
for an overview and their corresponding ISIC and NACE codes). Except for the ones in the area of culture,
sports and recreation, these activities are covered by SBS.
The reader is strongly encouraged to consult the ’ Data sources and availability ’ section before using the
presented data, in order to avoid overestimating the economic importance of tourism for some industries.
Main statistical findings
The discussion below refers to four selected indicators: number of enterprises , number of persons employed ,
turnover and value added at factor cost – firstly at EU level, secondly at country level.
In 2010, more than one in seven enterprises in the European non-financial business economy belonged to the
tourism industries (see Table 2, Table 3, Figure 1). These 3.4 million enterprises employed an estimated 15.2
million persons. Enterprises in industries with tourism related activities accounted for 11% of the persons
employed in the non-financial business economy and 29% of persons employed in the services sector.
Table 2: Key economic indicators for the tourism industries, EU-28, 2010 - Source: Eurostat
(sbs_na_sca_r2), (sbs_na_1a_se_r2)
eurostat Statistics in focus 32/2013 2
The tourism industries’ shares in total turnover and value added at factor cost were relatively lower, with the
tourism industries accounting for 6% of the turnover and 9% of the value added of the non-financial business
economy. These figures very likely reflect - among other explanations - the higher share of micro, small and
medium-sized enterprises and of the level of part-time employment in some typical tourism industries.
Table 3: Key economic indicators for the tourism industries, percentages, EU-28, 2010 - Source:
Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)
As explained in the "Data sources and availability" section, tourism industries do not provide services only to
tourists. Their employment, turnover, etc. can also be related to services provided to non-tourists. In Tables
2 and 3, the subdivision “mainly tourism” and “partially tourism” tries to take this into account. For instance,
3 million persons are employed in industries that are assumed to serve predominantly tourists while 12 million
persons are employed in industries where the customers are likely to be a mix of tourists and non-tourists.
eurostat Statistics in focus 32/2013 3
Analysis by subsectors
More than one in two enterprises in the tourism industries operated in accommodation (NACE I55) or food and
beverage serving activities (NACE I56), 8% and 44% respectively (see Table 2, Table 3, Figure 1). When looking
at the number of persons employed, the weight of these activities was even more pronounced representing nearly
2 out of every 3 jobs in the tourism industries. However, in terms of turnover and value added, their share was
34%, while the share of real estate activities (NACE L68) accounted for 32% of the turnover and 40% of the
value added at factor cost generated by the tourism industries.
Figure 1: Number of enterprises, number of persons employed, turnover and value added at
factor cost, EU-28, 2010 - Source: Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)
The turnover of passenger transport related industries (parts of NACE H49, H50, H51) represented 18% of the
turnover for all tourism industries: nearly half of this share cam from the subsector of passenger air transport
(NACE H5110).
Travel agencies (NACE N7911) and tour operators (NACE N7912) recorded a turnover of 75 billion and 64
billion euro respectively in 2010. The two activities taken together represented 11% of the turnover in tourism
industries, as compared to a 4% share in value added at factor cost, a 3% share in employment and a 2% share
in number of enterprises.
eurostat Statistics in focus 32/2013 4
Geographical analysis
Out of the 3.4 million enterprises in the tourism industries in the EU in 2010, 56% were located in four Member
States: 561 319 in Italy, 473 932 in Spain, 438 861 in France and 426 330 in Germany (see Table 4).
Table 4: Number of enterprises, 2010 - Source: Eurostat (sbs_na_sca_r2), (sbs_na_1a_se_r2)
In terms of employment (see Table 5), Germany recorded 2.7 million persons employed in the tourism industries,
followed by the United Kingdom (2.5 million), Italy (1.8 million) and Spain (1.7 million) (no data available
for France). The highest shares of employment in the tourism industries in the total non-financial business
economy were observed in Ireland (18%) and the Netherlands (15%), followed by Austria, the United Kingdom
and Spain (14%) (note that data on total employment in the tourism industries is missing for a significant
number of countries).
eurostat Statistics in focus 32/2013 5
Table 5: Number of persons employed, 2010 - Source: Eurostat (sbs_na_sca_r2),
(sbs_na_1a_se_r2)
The availability of the monetary indicators is very fragmented, but for Germany, the biggest EU economy,
turnover and value added of the tourism industries amounted to 228 billion and 110 billion euro respectively
(see Table 6, Table 7). Expressed as share of the total non-financial business economy, the German tourism
industries accounted for 5% of the total turnover and 9% of the total value added at factor cost.
eurostat Statistics in focus 32/2013 6
Table 6: Turnover or gross premiums written, 2010 (in million EUR) - Source: Eurostat
(sbs_na_sca_r2), (sbs_na_1a_se_r2)
eurostat Statistics in focus 32/2013 7
Table 7: Value added at factor cost, 2010 (in million EUR) - Source: Eurostat (sbs_na_sca_r2),
(sbs_na_1a_se_r2)
Infra-annual analysis
The above sections were based on structural business statistics (SBS). While SBS is a rich and comprehensive
source of information on European businesses, one of its limitations is the one year reference period of the data.
Compared to other branches of the economy, the tourism sector has a relatively strong seasonal component,
hence the need for infra-annual data to complete the analysis. Short-term business statistics provide monthly
and quarterly indices for a subset of tourism industries.
eurostat Statistics in focus 32/2013 8
Figure 2: Monthly working day adjusted turnover for NACE divisions I55 and I56 and monthly
nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and ho-
tels and similar accommodation (NACE class 55.10) (index=average for 2010), EU-28 - Source:
Eurostat (sts_setu_m), (tour_occ_nim)
Figure 2 shows for the EU-28, for the period January 2007 to January 2013, both the monthly evolution of the
working days adjusted turnover (2010 index = 100) for accommodation and for food and beverage services, and
the monthly evolution of nights spent in hotels and similar establishments and in all tourist accommodation
establishments. Figures 3 to 12 show, for the period January 2010 to September 2013, the country detail for
ten countries where monthly data (even fragmented) is available for the two industries mentioned above as well
as for travel agencies and tour operators.
Figure 3: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Czech
Republic - Source: Eurostat (sts_setu_m), (tour_occ_nim)
eurostat Statistics in focus 32/2013 9
Figure 4: Monthly working day adjusted turnover for NACE divisions I55 and I56 and monthly
nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels
and similar accommodation (NACE class 55.10) (index=average for 2010), Germany - Source:
Eurostat (sts_setu_m), (tour_occ_nim)
For the EU-28 aggregate and in most of the countries for which data is available, the seasonality of the turnover
in accommodation correlates well with the physical indicator of the number of overnight stays. The accom-
modation sector showed the most pronounced seasonal pattern while for travel agencies and tour operators
and especially food and beverage services, turnover was less concentrated in the peak (summer) months. This
observation can be linked to the methodological issue mentioned in the introduction and under the data sources
and availability chapter, namely that this analysis covers all services performed by enterprises in the tourism
industries, regardless of whether the final consumer was a tourist; this remark is obviously more relevant for
food and beverage services than for accommodation services.
Figure 5: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Spain -
Source: Eurostat (sts_setu_m), (tour_occ_nim)
eurostat Statistics in focus 32/2013 10
Figure 6: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), France -
Source: Eurostat (sts_setu_m), (tour_occ_nim)
Figure 7: Monthly working day adjusted turnover for NACE divisions I56 and N79 and monthly
nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels
and similar accommodation (NACE class 55.10) (index=average for 2010), Luxembourg - Source:
Eurostat (sts_setu_m), (tour_occ_nim)
Figure 8: Monthly gross turnover for NACE divisions I55, I56 and N79 and monthly nights
spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels and
similar accommodation (NACE class 55.10) (index=average for 2010), Portugal - Source: Euro-
stat (sts_setu_m), (tour_occ_nim)
eurostat Statistics in focus 32/2013 11
Figure 9: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Romania
- Source: Eurostat (sts_setu_m), (tour_occ_nim)
Figure 10: Monthly working day adjusted turnover for NACE division N79 and monthly nights
spent at tourist accommodation establishments (NACE classes 55.10 to 55.30) and hotels and
similar accommodation (NACE class 55.10) (index=average for 2010), Slovenia - Source: Eurostat
(sts_setu_m), (tour_occ_nim)
Figure 11: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), Finland -
Source: Eurostat (sts_setu_m), (tour_occ_nim)
eurostat Statistics in focus 32/2013 12
Figure 12: Monthly working day adjusted turnover for NACE divisions I55, I56 and N79 and
monthly nights spent at tourist accommodation establishments (NACE classes 55.10 to 55.30)
and hotels and similar accommodation (NACE class 55.10) (index=average for 2010), United
Kingdom - Source: Eurostat (sts_setu_m), (tour_occ_nim)
Data sources and availability
Structural business statistics (SBS) are among the key pillars of business statistics in the European Statistical
System (ESS) and describe the structure, main characteristics and performance of economic activities across the
European Union. Data is available at a detailed level of economic activities, which allows to identify and select
industries that are part of the tourism sector. The International Recommendations for Tourism Statistics 2008
include in the tourism sector (also: ’tourism industries’ or ’tourism characteristic activities’) ten internationally
comparable activities and two country-specific activities – this article focuses on the former. An overview of
these activities (and the corresponding codes in the international classifications ISIC and NACE) is given in
Table 1. Except for those in the area of culture, sports and recreation, these activities are covered by SBS.
It should be pointed out that this approach cannot distinguish between services provided to tourists and to
non-tourists – typical examples include restaurants catering to tourists but also to locals and railway passenger
transport used by tourists as well as by commuters. An assessment of the so-called tourism ratio for each of
these industries is outside the scope of this article. Considering the total turnover or employment will give an
overestimation of the true economic importance of tourism for these industries (but on the other hand, tourism
also contributes to other industries not listed in Table 1). Notwithstanding these shortcomings, SBS data allows
for an economic analysis of the sector which is not possible using only the traditional tourism statistics.A second
relevant source within existing business statistics is short-term business statistics (STS). STS can fill the gap of
information on turnover or prices where monthly accommodation statistics are limited to evolutions in flows of
tourists. As a trade-off with its strong timeliness, STS is available with a lower granularity of activities for ser-
vices; as a consequence the further analysis of monthly economic indicators focuses on accommodation (NACE
I55), food and beverage service activities (NACE I56) and travel agency, tour operator reservation service and
related activities (NACE N79).
Subsequent versions of this publication will be enriched with additional variables (e.g. full-time equivalent
employment) and breakdowns (e.g. size class) or with data from other sources that were not considered for this
article (e.g. Labour Force Survey and Balance of Payments statistics).
Context
Tourism statistics traditionally focus on the accommodation sector on the one hand and the demand side (from
a household perspective) on the other hand. The available tourism statistics relate mainly to physical flows:
arrivals or nights spent at tourist accommodation establishments or trips made by residents of a country.
This article presents economic data extracted from other areas of official statistics, in particular structural
business statistics (SBS) and short-term business statistics (STS) , in order to provide users with a better eco-
nomic analysis of this sector that is an important motor for many countries’ economies and labour market.
eurostat Statistics in focus 32/2013 13
Further Eurostat information
Database
• Tourism (tour)
Dedicated section
• Tourism statistics
• Structural business statistics (SBS)
• Short term business statistics (STS)
Methodology / Metadata
• Occupancy in collective accommodation establishments: domestic and inbound tourism (ESMS metadata
file - tour_occ_esms)
• Methodological manual for tourism statistics
Other information
• Regulation 692/2011 of the European Parliament and of the Council of 6 July 2011 concerning European
statistics on tourism and repealing Council Directive 95/57/EC.
• Commission Implementing Regulation 1051/2011 of 20 October 2011 implementing Regulation 692/2011
concerning European statistics on tourism, as regards the structure of the quality reports and the
transmission of the data.
Notes
This article is available on Statistics Explained at http://epp.eurostat.ec.europa.eu/statistics_explained/
index.php/Tourism_industries_-_economic_analysis
Manuscript completed on 18.12.2013 - Data from November 2013
© European Union, 2013
eurostat Statistics in focus 32/2013 14


Statistics in Focus. Industry, Trade and Services. One in seven businesses belong to the tourism industries. 2013.32

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