Statistics Explained - Eurostat - Recent changes [en]

Living conditions in European Neighbourhood South countries

Teichma — Wed, 20 May 2026 16:15:24 GMT

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	The [[Glossary:Long-term_unemployment\|long-term unemployment]] rate presented in Figure 3 represents the percentage of the [[Glossary:Labour_force\|labour force]] that is unemployed and has been actively seeking employment for at least a year. Unemployment results in a loss of income, and if it persists long-term it increases the risk of [[Living conditions in Europe - poverty and social exclusion\|falling into poverty.]]		The [[Glossary:Long-term_unemployment\|long-term unemployment]] rate presented in Figure 3 represents the percentage of the [[Glossary:Labour_force\|labour force]] that is unemployed and has been actively seeking employment for at least a year. Unemployment results in a loss of income, and if it persists long-term it increases the risk of [[Living conditions in Europe - poverty and social exclusion\|falling into poverty.]]

	Between 2014 and 2024, long-term unemployment varied significantly across ENP-South countries. Throughout this period, Palestine had one of the highest long-term unemployment rates in the region. From 2014 to 2022, the level remained relatively stable at between 8.8% and 12.0%. A sharp rise to 16.5% in 2023 coincided with the outbreak of the ~~recent crisis~~ situation in ~~Gaza~~. This led to a break in the geographical coverage: from 2023 on, data cover the West Bank only, as data are unavailable for Gaza. However, the rate fell sharply, by 10.0 [[Glossary:Percentage_point\|percentage points (pp)]], to 6.5% in 2024.		Between 2014 and 2024, long-term unemployment varied significantly across ENP-South countries. Throughout this period, Palestine had one of the highest long-term unemployment rates in the region. From 2014 to 2022, the level remained relatively stable at between 8.8% and 12.0%. A sharp rise to 16.5% in 2023 coincided with the outbreak of the conflict in Gaza and a deterioration of the economic situation in the West Bank. This led to a break in the geographical coverage: from 2023 on, data cover the West Bank only, as data are unavailable for Gaza. However, the rate fell sharply, by 10.0 [[Glossary:Percentage_point\|percentage points (pp)]], to 6.5% in 2024.

	In contrast, Israel maintained the lowest long-term unemployment rate among the ENP-South countries 2014-2024, not exceeding 0.5% in any year. This was substantially lower than in the EU during this period.		In contrast, Israel maintained the lowest long-term unemployment rate among the ENP-South countries 2014-2024, not exceeding 0.5% in any year. This was substantially lower than in the EU during this period.

Seasonality in the tourist accommodation sector

Demunch — Wed, 20 May 2026 16:09:38 GMT

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	<caption> Figure 3c</caption> </vistool>		<caption> Figure 3c</caption> </vistool>
	<br>		<br>
	Finally, one can look at the difference between the peak and low month, although this peak/low ratio can be strongly influenced by extreme values in those two months, ignoring the seasonal pattern in the remaining 10 months. Table 3 shows that at EU level, the number of nights spent in the peak month (August, 501 million nights) was 3.6 times higher than in the low month (January, ~~138~~ million). For Croatia, this ratio was 41.1, while for Greece it was 20.5.		Finally, one can look at the difference between the peak and low month, although this peak/low ratio can be strongly influenced by extreme values in those two months, ignoring the seasonal pattern in the remaining 10 months. Table 3 shows that at EU level, the number of nights spent in the peak month (August, 501 million nights) was 3.6 times higher than in the low month (January, 139 million). For Croatia, this ratio was 41.1, while for Greece it was 20.5.
	[[Image:T2 Nights spent in tourist accommodation establishments, share of the busiest and the slowest months of the year, 2025new2.png\|thumb\|center\|800px\|Table 2: Nights spent in tourist accommodation establishments, share of the busiest and the slowest months of the year, 2025 (%)<br>''Source:'' Eurostat {{Stable link\|title=\|code=tour_occ_nim}}\|alt= Table showing nights spent in tourist accommodation establishments as percentage share of the busiest and the slowest months of the year 2025 in the EU, individual EU Member States, EFTA countries, Montenegro, North Macedonia, Albania and Serbia. For more details please use the link to the source dataset code below the image.]]		[[Image:T2 Nights spent in tourist accommodation establishments, share of the busiest and the slowest months of the year, 2025new2.png\|thumb\|center\|800px\|Table 2: Nights spent in tourist accommodation establishments, share of the busiest and the slowest months of the year, 2025 (%)<br>''Source:'' Eurostat {{Stable link\|title=\|code=tour_occ_nim}}\|alt= Table showing nights spent in tourist accommodation establishments as percentage share of the busiest and the slowest months of the year 2025 in the EU, individual EU Member States, EFTA countries, Montenegro, North Macedonia, Albania and Serbia. For more details please use the link to the source dataset code below the image.]]
	<br>		<br>

Businesses in other services

Anconfe — Wed, 20 May 2026 15:54:58 GMT

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	Insert text		Insert text

	[[~~Image~~:~~Enterprises paying to advertise on the internet, 2024 (% of enterprises)~~.png\|thumb\|~~centre~~\|700px\|~~Insert~~ Table, ~~Figure or Map #~~ and ~~abbreviated version of title without unit~~<br>''Source:'' Eurostat {{Stable link\|title=\|code=~~isoc_cismt~~}} for default dataset or [https://ec.europa.eu/eurostat/databrowser/view/inn_cis13_fin__custom_17733682/bookmark/table?lang=en&bookmarkId=4d8986d4-83f8-451a-b455-5aac275ade48&c=1757433611000 (inn_cis13_fin)] for custom dataset\|alt=INSERT DESCRIPTION OF GRAPH/TABLE/MAP FOR ACCESSIBILITY PURPOSES, example: A column chart showing the share of enterprises in the EU that pay to advertise on the internet for the year 2024. Data are shown as percentage for the EU, some of the EU Member States, Norway and Türkiye.]]
			[[File: OS_Table_1.png\|thumb\|center\|700px\|Table 1: Key indicators: Businesses in the enterprise and customer services (NACE Sections H, I, J, L, M and N), EU, 2023<br>''Source:'' Eurostat {{Stable link\|title=\|code=sbs_ovw_act}}\|alt=

Oil and petroleum products - a statistical overview

Svetkjo — Wed, 20 May 2026 15:49:00 GMT

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	=== Final consumption in the EU and in EU countries ===		=== Final consumption in the EU and in EU countries ===
	<br>		<br>
	In ~~2023~~, the final consumption of oil and petroleum products for energy and non-energy purposes in the EU countries decreased by 0.6% to ~~387~~.2 Mtoe. The lowest level ever recorded in the 31 years time series was in 2020. The consumption had already decreased from the peak of 2001 (492.9 Mtoe) to a low point in 2015 (406.4 Mtoe) yet, before the shock of the restrictions, it was increasing again. In 2021, the value started normalising overall but with changes in different directions in the various EU countries. In ~~2023~~, the highest increase was recorded in ~~Croatia~~ (+11.7 pp), ~~Romania~~ (+5.9 pp) and ~~Sweden~~ (+4.7 pp) while decreased more evidently in ~~Germany~~ (-10.1 pp), ~~Slovenia~~ (6.5 pp) and ~~Austria~~ (-5.1 pp).		In 2043, the final consumption of oil and petroleum products for energy and non-energy purposes in the EU countries decreased by 0.4% to 379.5 Mtoe. The lowest level ever recorded in the 31 years time series was in 2020. The consumption had already decreased from the peak of 2001 (492.9 Mtoe) to a low point in 2015 (406.4 Mtoe) yet, before the shock of the restrictions, it was increasing again. In 2021, the value started normalising overall but with changes in different directions in the various EU countries. In 2024, the highest increase was recorded in Sweden (+14.9 pp), Greece (+8.9 pp) and Croatia (+7.1 pp) while decreased more evidently in Slovakia (-7.6 pp), Denmark (6.5 pp) and Luxembourg(-6.3 pp).
	EU countries have different energy and non-energy consumption patterns of oil and petroleum products, which are influenced by the size and structure of their economies. In ~~2022~~, Germany held the lead with a 19.6% share of the total final EU consumption, followed by France (15.8%), Italy (10.9%) and Spain (10.6%).		EU countries have different energy and non-energy consumption patterns of oil and petroleum products, which are influenced by the size and structure of their economies. In 2024, Germany held the lead with a 20.1% share of the total final EU consumption, followed by France (15.3%), Italy (11.1%) and Spain (11.1%).
	<br>		<br>
	[[Image:~~V4Consumption_of_oil_and_petroleum_products~~,~~_EU_Member_States~~,~~_2023_~~(~~million_tonnes_of_oil_equivalent~~).png\|thumb\|centre\|700px\|Table 2: Consumption of oil and petroleum products, ~~2023~~<br>'' Source:'' Eurostat ([https://ec.europa.eu/eurostat/databrowser/view/NRG_BAL_C__custom_10556943/default/table?lang=en nrg_bal_c])\|alt= Table showing the consumption of oil and petroleum products in million tonnes of oil equivalent for individual EU Member States in the year ~~2023~~. A column shows the percentage change from ~~2022~~. Another column shows the percentage share of consumption in the year ~~2023~~. For more details please use the link to the source dataset code below the image.]]		[[Image:Consumption of oil and petroleum products, EU Member States, 2024 (million tonnes of oil equivalent).png\|thumb\|centre\|700px\|Table 2: Consumption of oil and petroleum products, 2024<br>'' Source:'' Eurostat ([https://ec.europa.eu/eurostat/databrowser/view/NRG_BAL_C__custom_10556943/default/table?lang=en nrg_bal_c])\|alt= Table showing the consumption of oil and petroleum products in million tonnes of oil equivalent for individual EU Member States in the year 2024. A column shows the percentage change from 2023. Another column shows the percentage share of consumption in the year 2024. For more details please use the link to the source dataset code below the image.]]
	</sesection>		</sesection>
	<br>		<br>

File:Consumption of oil and petroleum products, EU Member States, 2024 (million tonnes of oil equivalent).png

Svetkjo — Wed, 20 May 2026 15:44:47 GMT

Svetkjo uploaded File:Consumption of oil and petroleum products, EU Member States, 2024 (million tonnes of oil equivalent).png

New page

Seasonality in the tourist accommodation sector

Demunch — Wed, 20 May 2026 15:24:06 GMT

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	<newarticle>Many tourist activities have always been highly seasonal. Leading reasons are environmental factors, such as climate conditions or geographical location, together with social and cultural factors, such as school holidays. During peak vacation times, tourist areas may face overcrowding and resource strain. Conversely, quieter periods can lead to underutilised facilities and job instability due to fluctuating demand.</newarticle>		<newarticle>Many tourist activities have always been highly seasonal. Leading reasons are environmental factors, such as climate conditions or geographical location, together with social and cultural factors, such as school holidays. During peak vacation times, tourist areas may face overcrowding and resource strain. Conversely, quieter periods can lead to underutilised facilities and job instability due to fluctuating demand.</newarticle>
	Figure 1 and Table 1 summarise the monthly data and seasonal pattern in 2025. The most popular months were August (16% of all nights spent at EU tourist accommodation in 2025, corresponding to 501 million nights spent) and July (15%, 460 million nights). The number of nights spent during the peak summer month was ~~nearly~~ 3.6 times higher than in the off-peak month January (139 million). Figure 1 shows that the seasonal pattern for nights spent was a bit more pronounced than for arrivals, with 26% of annual arrivals recorded in July or August. This suggests that the length of stay is longer during these busier months, likely corresponding with many tourists' main holiday period.		Figure 1 and Table 1 summarise the monthly data and seasonal pattern in 2025. The most popular months were August (16% of all nights spent at EU tourist accommodation in 2025, corresponding to 501 million nights spent) and July (15%, 460 million nights). The number of nights spent during the peak summer month was 3.6 times higher than in the off-peak month January (139 million). Figure 1 shows that the seasonal pattern for nights spent was a bit more pronounced than for arrivals, with 26% of annual arrivals recorded in July or August. This suggests that the length of stay is longer during these busier months, likely corresponding with many tourists' main holiday period.

	<br>		<br>

Farmers and the agricultural labour force - statistics

Cookced — Wed, 20 May 2026 15:23:44 GMT

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	<database>		<database>
	===Database===		===Database===

			*[https://ec.europa.eu/eurostat/web/agriculture/database Agriculture (agr)], see:
			:Farm structure (ef)
			::Farm structural indicators (ef_fsi)
			:::Age structure of farm managers ([https://ec.europa.eu/eurostat/databrowser/view/ef_fsi_agesex/default/table?lang=en&category=agr.ef.ef_fsi ef_fsi_agesex])
			:::Average farm labour force by work status and sex of farm manager ([https://ec.europa.eu/eurostat/databrowser/view/ef_fsi_lf/default/table?lang=en&category=agr.ef.ef_fsi ef_fsi_lf])
			:::Agricultural training of farm managers ([https://ec.europa.eu/eurostat/databrowser/view/ef_fsi_training/default/table?lang=en&category=agr.ef.ef_fsi ef_fsi_training])
			:::Farm labour force by work status and sex of worker ([https://ec.europa.eu/eurostat/databrowser/view/ef_fsi_lfsex/default/table?lang=en&category=agr.ef.ef_fsi ef_fsi_lfsex])

	*[https://ec.europa.eu/eurostat/web/main/data/database Economy and finance], see:		*[https://ec.europa.eu/eurostat/web/main/data/database Economy and finance], see:
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	::::National accounts employment data by industry (up to NACE A*64) ([https://ec.europa.eu/eurostat/databrowser/product/view/nama_10_a64_e?category=na10.nama10.nama_10_dbr nama_10_a64_e])		::::National accounts employment data by industry (up to NACE A*64) ([https://ec.europa.eu/eurostat/databrowser/product/view/nama_10_a64_e?category=na10.nama10.nama_10_dbr nama_10_a64_e])

	*[https://ec.europa.eu/eurostat/web/agriculture/database Agriculture (~~agr~~)]~~, see:~~		*[https://ec.europa.eu/eurostat/web/agriculture/database Agriculture (t_agr)]
	~~:Farm structure (ef)~~
	~~::Main farm indicators by NUTS 2 regions (ef_mainfarm)~~
	:::Farm indicators by age and sex of the manager, economic size of the farm, utilised agricultural area and NUTS 2 region ([https://ec.europa.eu/eurostat/databrowser/product/view/ef_m_farmang?category=agr.ef.ef_mainfarm ef_m_farmang])

	*[https://ec.europa.eu/eurostat/statistics-explained/images/5/56/SE_Farmers_and_the_agricultural_labour_force_.xlsx Farmers and the agricultural labour force (XLS)]
	</database>		</database>



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	<publications>		<publications>
	===Publications===		===Publications===
	*{{Template:Publication\|code=KS-FK-20-~~001~~\|title=~~Agriculture, forestry and fishery statistics~~ — ~~2020~~ edition}}		*{{Template:Publication\|code=KS-01-25-049\|title=Key Figures on the European food chain — 2025 edition}}

			*{{Template:Publication\|code=KS-01-24-024\|title=A look at European farms – agricultural census results}}
	</publications>		</publications>

	<methodology>		<methodology>
	===Methodology===		===Methodology===
	*{{Template:Esms\|code=ef_esms\|title=Farm structure}} (ESMS metadata file — ef_esms)		*[https://ec.europa.eu/eurostat/cache/metadata/en/ef_sims.htm Farm structure (ef)]
	*{{Template:Publication\|code=CA-98-96-493\|title=Farm structure — Methodology of Community surveys}}
	*[~~http~~://ec.europa.eu/eurostat/~~web~~/~~agriculture~~/~~national-methodology-reports National methodological reports~~]
	</methodology>		</methodology>

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	'''Main legislation'''		'''Main legislation'''

	*{{Template:EurLex\|code=CELEX:~~32008R1166~~:EN:NOT\|title=Regulation ~~1166~~/~~2008~~}} of the European Parliament and of the Council on ~~farm structure surveys and the survey on agricultural production methods (farm structure survey from 2010 to 2016)~~		*{{Template:EurLex\|code=CELEX:32018R1091:EN:NOT\|title=Regulation 2018/1091}} of the European Parliament and of the Council of 18 July 2018 on integrated farm statistics
	* [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=legissum:4369111 Summaries of EU Legislation: EU integrated farm statistics]		*{{Template:EurLex\|code=CELEX:32021R2269:EN:NOT\|title=Regulation 2021/2269}} of the European Parliament and of the Council of 15 December 2021 on Union contribution for integrated farm statistics
	*{{Template:EurLex\|code=CELEX:~~32014R0378~~:EN:NOT\|title=Regulation ~~No 378~~/~~2014~~}} of the European Parliament and of the Council of ~~3 April 2014 amending Regulation (EC) No 1166/2008 as regards the financial framework~~ for ~~the period 2014-2018~~		*{{Template:EurLex\|code=CELEX:32020R0405:EN:NOT\|title=Commission Implementing Regulation (EU) 2020/405}} of 16 March 2020 specifying the arrangements and contents of the quality reports on integrated farm statistics
	*{{Template:EurLex\|code=CELEX:~~32014R0715~~:EN:NOT\|title=Commission Regulation ~~No 715~~/~~2014~~}} of ~~26 June 2014 amending Annex III to Regulation (EC) No 1166/2008 of~~ the ~~European Parliament~~ and of the ~~Council~~ on farm ~~structure surveys and the survey on agricultural production methods, as regards the list of characteristics to be collected in the farm structure survey 2016~~		*{{Template:EurLex\|code=CELEX:32018R1874:EN:NOT\|title=Commission Implementing Regulation (EU) 2018/1874}} of 29 November 2018 on the data to be provided for 2020 under EU regulation 2018/1091
			*{{Template:EurLex\|code=CELEX:32021R2286:EN:NOT\|title=Commission Implementing Regulation (EU) 2021/2286}} of 16 December 2021 on the data to be provided for the reference year 2023
	~~'''Implementing legislation'''~~
	*{{Template:EurLex\|code=CELEX:~~32009R1200~~:EN:NOT\|title=Commission Regulation ~~1200~~/~~2009~~}} ~~implementing Regulation 1166/2008~~ on ~~farm structure surveys and~~ the ~~survey on agricultural production methods (farm structure survey from 2010~~ to ~~2016)~~
	*{{Template:EurLex\|code=CELEX:~~32015R1391~~:EN:NOT\|title=Commission ~~Regulation 2015/1391}} amending~~ Regulation (EC) ~~No 1200~~/~~2009~~

	~~'''Related and older legislation'''~~

	*{{Template:EurLex\|code=CELEX:32009R1217:EN:NOT\|title=Council Regulation 1217/2009}} ~~setting up a network for the collection~~ of ~~accountancy data~~ on the ~~incomes and business operation of agricultural holdings in~~ the ~~European Community~~
	* [https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=legissum:ag0008 Summaries of EU Legislation: Farm incomes and operations - EU statistics]
	*{{Template:EurLex\|code=CELEX:32014R1198:EN:NOT\|title=Commission Delegated Regulation 1198/2014}} of 1 August 2014 supplementing Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Union		*{{Template:EurLex\|code=CELEX:32014R1198:EN:NOT\|title=Commission Delegated Regulation 1198/2014}} of 1 August 2014 supplementing Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Union
	*{{Template:EurLex\|code=CELEX:~~32015R0220~~:EN:NOT\|title=~~Commission Implementing~~ Regulation ~~220~~/~~2015~~}} of ~~3 February 2015 laying down rules~~ for the ~~application~~ of Council Regulation (EC) No 1217/2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European ~~Union~~		*{{Template:EurLex\|code=CELEX:32009R1217:EN:NOT\|title=Council Regulation (EC) No 1217/2009}} of of 30 November 2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Community
			*{{Template:EurLex\|code=CELEX:32009R1217:EN:NOT\|title=Council Regulation (EC) No 1217/2009}} of of 30 November 2009 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Community
			*{{Template:EurLex\|code=CELEX:32015R0220:EN:NOT\|title=Commission Implementing Regulation 220/2015}} of 3 February 2015 laying down rules for the application of regulation 1217/2009

	</legislation>		</legislation>
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	<externallinks>		<externallinks>
	===External links===		===External links===
	*[https://ec.europa.eu/info/food-farming-fisheries/key-policies/common-agricultural-policy/future-cap_en ~~The common agricultural policy: 2023-27]~~		*[https://ec.europa.eu/info/food-farming-fisheries/key-policies/common-agricultural-policy/future-cap_en https://ec.europa.eu/info/food-farming-fisheries/key-policies/common-agricultural-policy/future-cap_en]
	*[https://~~agriculture.~~ec.europa.eu/~~document~~/~~8b251741-3a55-4ec5-bf9a~~-~~9d27d09d9853_en Challenges for agriculture and rural areas: Economic dimensions~~ - ~~European Commission]~~
	*[https://agriculture.ec.europa.eu/document/~~fdde3319-9f53-4818-b9c6-e2157a542fff_en Challenges for agriculture and rural areas: Environment and climate dimensions~~ - ~~European Commission]~~
	*[https:/~~/agriculture.ec.europa.eu/document/737fb3e5~~-~~96fe~~-~~4dee-b205-c1b8da3a198b_en Challenges for agriculture and rural areas: Socio-Economic dimensions - European Commission]~~
	*[https://agriculture.ec.europa.eu/system/files/2019-11/~~cap-briefs-7-structural-change_en_0.pdf CAP specific objective explained~~ - ~~Brief No 7~~]
	</externallinks>		</externallinks>

Businesses in other services

Anconfe — Wed, 20 May 2026 15:20:02 GMT

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	<updatedata>		<updatedata>
	Data extracted in ~~Month YYYY <!--do not add full stop-->~~		Data extracted in May 2026

	Planned article update: ~~Month YYYY <!--do not add full stop-->~~		Planned article update: January 2027
	</updatedata>		</updatedata>

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	<highlight-message>		<highlight-message>
	~~Highlight message Text~~		In 2023, ‘Transportation and storage' accounted for 6.4 % of persons employed within the business economy; ‘Accommodation and food service activities' for 7 %; ‘Information and communication' for 4.5 %; 'Real estate activities' for 1.7 %; ‘Professional, scientific and technical activities’ for 7.6 % and ‘Administrative and support service activities’ for 8.7 %.
	</highlight-message>		</highlight-message>

	<highlight-message>		<highlight-message>
	~~Highlight message Text~~		Altogether, they accounted for 20.4% of EU business economy's net turnover, generating around €7.8 trillion.
	</highlight-message>		</highlight-message>

			This article presents an overview of statistics for six economic activities within the [[Glossary:European Union (EU)\|European Union's (EU)]] services economy: transportation and storage; accommodation and food service activities; information and communication; real estate; professional, scientific and technical activities; administrative and support service activities, as covered by [[Glossary:NACE\|NACE]] Rev. 2 Section H; I; J; L; M and N. It belongs to a [[Business economy by sector - NACE Rev. 2\|set of statistical articles on 'Business economy by sector'.

	~~<'''Interactive graph to be set by unit B4''':>~~

	~~<barchart palette="PALETTE_OPTION" file="EXCEL_FILE.xlsx"> </barchart>~~
	~~<multibarchart palette="PALETTE_OPTION" file="EXCEL_FILE.xlsx"> </multibarchart>~~
	~~<linechart palette="PALETTE_OPTION" file="EXCEL_FILE.xlsx "></linechart>~~
	~~<piechart palette="PALETTE_OPTION" file="EXCEL_FILE.xlsx"></piechart>~~

	or

	~~<'''Vistool graph to be inserted by author unit''':><br>~~


	~~<br>~~
	~~Introduction text should briefly describe what the article is about and mention general findings or trends. This part is the hook for the reader to entice them to read on.~~
	~~It should not include methodological information; this should be placed under the sections Data details and Context.~~

	</highlight>		</highlight>


	<articlecontent>		<articlecontent>
	<sesection>		<sesection>
	=== ~~Section title~~ ===
			=== Structural profile ===
	Insert text		Insert text

Farmers and the agricultural labour force - statistics

Cookced — Wed, 20 May 2026 15:10:45 GMT

← Older revision		Revision as of 17:10, 20 May 2026
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	==== Farming remains a predominantly family activity ====		==== Farming remains a predominantly family activity ====

	In 2023, about 85% of the EU’s regular agricultural workforce employed directly by farms were either the sole holder (farmer) or members of his/her family. Nevertheless, there were 3 EU countries in which a majority of the regular agricultural labour force were non-family members; Slovakia (59% of the regular workforce), Czechia (58%) and France (58%)~~.</ref>~~.		In 2023, about 85% of the EU’s regular agricultural workforce employed directly by farms were either the sole holder (farmer) or members of his/her family. Nevertheless, there were 3 EU countries in which a majority of the regular agricultural labour force were non-family members; Slovakia (59% of the regular workforce), Czechia (58%) and France (58%).

	==== Farm managers are typically male and relatively old ====		==== Farm managers are typically male and relatively old ====
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	Most farm managers in the EU only have [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level practical experience]; this was the case for seven in every ten (71.4%) of them in 2023. Only one in ten (9.7%) of farm managers had [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level full agricultural training], and the rest (18.8%) had [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level basic agricultural training] (see Figure 4). In some EU countries, the level of agricultural training among farm managers was particularly low; in Greece, Cyprus and Malta only around 0.7 % of farm managers had full agricultural training and in Romania only 1.0%, the overwhelming majority of which had only practical experience. Only a few countries had relatively high proportions of farm managers with full agricultural training; these were the Netherlands (63.1%), Luxembourg (50.0%), Czechia (36.8%), Estonia (35.3%) and Belgium (30.3%).		Most farm managers in the EU only have [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level practical experience]; this was the case for seven in every ten (71.4%) of them in 2023. Only one in ten (9.7%) of farm managers had [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level full agricultural training], and the rest (18.8%) had [https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Farmers_training_level basic agricultural training] (see Figure 4). In some EU countries, the level of agricultural training among farm managers was particularly low; in Greece, Cyprus and Malta only around 0.7 % of farm managers had full agricultural training and in Romania only 1.0%, the overwhelming majority of which had only practical experience. Only a few countries had relatively high proportions of farm managers with full agricultural training; these were the Netherlands (63.1%), Luxembourg (50.0%), Czechia (36.8%), Estonia (35.3%) and Belgium (30.3%).

	[[Image:~~Fig3 Farm managers, by age class and economic size~~ of farm (%, EU, ~~2020~~).png\|thumb\|centre\|500px\|Figure 3: ~~Farm managers, by age class and economic size~~ of farm<BR>(%, EU, ~~2020~~)<br>''Source:'' Eurostat {{Stable link\|title=\|code=~~ef_m_farmang~~}}\|alt= a ~~vertical~~ stacked bar chart ~~with five bars showing~~ the farm managers~~, by age class and economic size of farm expressed as a percentage~~ in the EU ~~for~~ the ~~year 2020~~. For more details please use the link to the source dataset code below the image.]]		[[Image:F4 Level of agricultural training of EU farm managers (%, by type of training, 2023).png\|thumb\|centre\|500px\|Figure 4: Level of agricultural training of EU farm managers<BR>(%, by type of training, 2023)<br>''Source:'' Eurostat {{Stable link\|title=\|code=ef_fsi_training}}\|alt= a horizontal stacked bar chart comparing the level of agricultural training of farm managers in the EU and each Member State in 2023. For each country, the proportions of managers with only basic training, with practical experience only, and with full agricultural training are shown. For more details please use the link to the source dataset code below the image.]]


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	Against the backdrop of a sharp decline in the overall number of farmers, the share of farm managers that are women increased from 28.3% in 2010 to 31.5% in 2023 (see Figure 5).		Against the backdrop of a sharp decline in the overall number of farmers, the share of farm managers that are women increased from 28.3% in 2010 to 31.5% in 2023 (see Figure 5).

	[[Image:~~Fig4~~ Female farm managers (% of all farm managers, by age class, EU, ~~2005~~ - ~~2020~~).png\|thumb\|centre\|500px\|Figure 5: Female farm managers<BR>(% of all farm managers, by age class, EU, ~~2005~~ - ~~2020~~ )<br>''Source:'' Eurostat {{Stable link\|title=\|code=~~ef_m_farmang~~}}\|alt=a horizontal stacked bar chart showing female farm managers expressed as a percentage of all farm managers, by age class in the EU from the year ~~2005~~ to the year ~~2020~~. For more details please use the link to the source dataset code below the image.]]		[[Image:F5 Female farm managers (% of all farm managers, by age class, EU, 2010 - 2023).png\|thumb\|centre\|500px\|Figure 5: Female farm managers<BR>(% of all farm managers, by age class, EU, 2010 - 2023 )<br>''Source:'' Eurostat {{Stable link\|title=\|code=ef_fsi_agesex}}\|alt=a horizontal stacked bar chart showing female farm managers expressed as a percentage of all farm managers, by age class in the EU from the year 2010 to the year 2023. For more details please use the link to the source dataset code below the image.]]

	</sesection>		</sesection>
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	<datadetails>		<datadetails>
	===Data sources===		===Data sources===
	Farm ~~Structure Survey (FSS) data, including detailed~~ data ~~on farm labour characteristics,~~ are collected from agricultural censuses every ten years and from sample surveys ~~twice~~ in between. The main tables from the ~~Agricultural Census for 2020~~ are gradually being published and are used in this analysis. Additional information comes from National Accounts employment data by industry and agricultural labour input statistics gathered for the Economic Accounts for Agriculture.		Farm structure data are collected from agricultural censuses every ten years and from sample surveys every 3 or 4 years in between. The main tables from the 2023 survey are gradually being published and are used in this analysis. Additional information comes from National Accounts employment data by industry and agricultural labour input statistics gathered for the Economic Accounts for Agriculture.

			===Explanatory note===
			The implementation of the Integrated Farm Statistics (IFS) introduced a division of the target population into two components: the ‘main frame’ includes agricultural holdings above physical thresholds defined in the legislation, while the ‘frame extension’ covers smaller holdings below these thresholds. In the legislative framework, data collection requirements for below-threshold units vary across time. This variability leads to gaps in data availability for the entire population of agricultural holdings and poses challenges for the comparability of results. To address this issue, an estimation procedure based on imputation techniques applied at the level of microdata has been developed to produce consistent estimates for below-threshold units where data are missing, which have been published in the Eurobase datasets under Farm structural indicators [ef_fsi].

	</datadetails>		</datadetails>

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	===Context===		===Context===
	Farming is an activity that is about growing crops and raising livestock. It is the business of providing key primary ingredients for the food that we eat and much of what we drink. Farming draws on a set of resources to produce these agricultural goods, as well as agricultural services. These resources or 'factors of production' can be broadly categorised as land, labour, knowledge, capital and entrepreneurship.		Farming is an activity that is about growing crops and raising livestock. It is the business of providing key primary ingredients for the food that we eat and much of what we drink. Farming draws on a set of resources to produce these agricultural goods, as well as agricultural services. These resources or 'factors of production' can be broadly categorised as land, labour, knowledge, capital and entrepreneurship.
			Within the EU, the farming sector operates under the common agricultural policy (CAP), which has been reformed a number of times over the years. The common agricultural policy plays a pivotal role in shaping the EU’s agricultural industry. Recent reforms have encouraged greener practices by allocating more funds to conservation and biodiversity. The common agricultural policy also supports farmers’ livelihoods, ensures food supply and security by stabilising agricultural markets, while contributing to EU trade negotiations by maintaining high quality and safety standards for agricultural products.
	Within the EU, the farming sector operates under the ~~Common Agricultural Policy~~ (CAP)~~. Just as agriculture needs to keep pace with scientific and technological advances~~, ~~so the CAP needs to respond to developing challenges. The CAP~~ has been reformed a number of times over the years. ~~On 2 December 2021~~, ~~the European Commission proposals~~ for ~~further changes beyond 2020 were adopted and will enter into force on 1st January 2023~~. The ~~nine objectives of this~~ new ~~CAP highlight the~~ central ~~role of farms~~ and ~~farmers in meeting challenges to do with climate change, with creating vibrant rural areas~~, ~~with preserving~~ rural ~~landscapes, with environmental care~~ and ~~with protecting~~ food ~~and health quality. These economic~~, ~~environmental and~~ climate~~-related and socio-economic challenges require that farmers be at~~ the ~~heart~~ of ~~Europe's rural communities. This helps explain why support for~~ the generational ~~succession of farms~~ and ~~encouragement of a new generation of farmers is also a key part of~~ the ~~new CAP proposal~~.		The EU’s new Vision for Agriculture and Food is central to building a sustainable food system and protecting biodiversity, while securing rural livelihoods and enhancing the stability of the food chain, alongside ambitions to achieve climate neutrality. Key priorities include: strengthening the role of farmers in the food value chain; promoting sustainable farming practices and empowering consumers to choose balanced, eco-friendly diets; encouraging generational renewal and gender equality; making knowledge, training and skills more accessible; improving resilience by helping the food system adapt to shocks, such as climate change, market volatility or systemic crises.
	</context>		</context>
	</articlecontent>		</articlecontent>

File:F5 Female farm managers (% of all farm managers, by age class, EU, 2010 - 2023).png

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File:F4 Level of agricultural training of EU farm managers (%, by type of training, 2023).png

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Farmers and the agricultural labour force - statistics

Cookced — Wed, 20 May 2026 14:59:41 GMT

← Older revision		Revision as of 16:59, 20 May 2026
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	Older farm managers tend to work on the smallest farms (when measured in economic terms or in relation to their agricultural area), which are characterised by subsistence households and low levels of agricultural income. Three-quarters (75.1%) of the EU's farm managers that were 65 years of age or older worked on either semi-subsistence farms or very small farms in 2023 (see Figure 3).		Older farm managers tend to work on the smallest farms (when measured in economic terms or in relation to their agricultural area), which are characterised by subsistence households and low levels of agricultural income. Three-quarters (75.1%) of the EU's farm managers that were 65 years of age or older worked on either semi-subsistence farms or very small farms in 2023 (see Figure 3).

	[[Image:~~Fig3~~ Farm managers, by age class and economic size of farm (%, EU, ~~2020~~).png\|thumb\|centre\|500px\|Figure 3: Farm managers, by age class and economic size of farm<BR>(%, EU, ~~2020~~)<br>''Source:'' Eurostat {{Stable link\|title=\|code=~~ef_m_farmang~~}}\|alt= a vertical stacked bar chart with five bars showing the farm managers, by age class and economic size of farm expressed as a percentage in the EU for the year ~~2020~~. For more details please use the link to the source dataset code below the image.]]		[[Image:F3 Farm managers, by age class and economic size of farm (%, EU, 2023).png\|thumb\|centre\|500px\|Figure 3: Farm managers, by age class and economic size of farm<BR>(%, EU, 2023)<br>''Source:'' Eurostat {{Stable link\|title=\|code=ef_fsi_ecsz}}\|alt= a vertical stacked bar chart with five bars showing the farm managers, by age class and economic size of farm expressed as a percentage in the EU for the year 2023. For more details please use the link to the source dataset code below the image.]]

	A higher share of young farmers managed medium and large-sized farms (36.6%) than was the case in other age classes. Indeed, the share was progressively lower through each older class of farm manager, with only 10.2% of farmers aged 65 years and older managing medium and large-sized farms. In part, this distinction might be explained by the fact that young farmers had higher levels of educational attainment in terms of full agricultural training (20.1% vs 4.1% for over 65-year-olds) and had followed up-to-date professional training courses including those on new and innovative farming practices.		A higher share of young farmers managed medium and large-sized farms (36.6%) than was the case in other age classes. Indeed, the share was progressively lower through each older class of farm manager, with only 10.2% of farmers aged 65 years and older managing medium and large-sized farms. In part, this distinction might be explained by the fact that young farmers had higher levels of educational attainment in terms of full agricultural training (20.1% vs 4.1% for over 65-year-olds) and had followed up-to-date professional training courses including those on new and innovative farming practices.

File:F3 Farm managers, by age class and economic size of farm (%, EU, 2023).png

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Farmers and the agricultural labour force - statistics

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File:F2 Age classes of farm managers, by gender (% of all farm managers, EU, 2023).png

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File:F1 Employment in agriculture (% of total employment, 2010 and 2023).png

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Businesses in the construction of buildings sector

Doyland — Wed, 20 May 2026 14:46:14 GMT

← Older revision		Revision as of 16:46, 20 May 2026
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	</script> <caption>Figure 3b: Businesses in the construction industry: Key indicators, EU, 2023 </caption>\|alt=An interactive chart showing additional key indicators, ratios, for the construction industry in 2023, complementing Figure 3a with further breakdowns across NACE Sections F. For more details please use the link to the source dataset code below the image.]] </vistool>		</script> <caption>Figure 3b: Businesses in the construction industry: Key indicators, EU, 2023 </caption>\|alt=An interactive chart showing additional key indicators, ratios, for the construction industry in 2023, complementing Figure 3a with further breakdowns across NACE Sections F. For more details please use the link to the source dataset code below the image.]] </vistool>

	For average employee benefits expense within the businesses in the ~~construction sector~~ in 2023, please consult the data available on this bookmark, where you will also find information on the wage-adjusted labour productivity ratio, which accounts for the different levels of pay and social charges between EU countries and activities.		For average employee benefits expense within the businesses in the non-manufacturing industries in 2023, please consult the data available on this bookmark, where you will also find information on the wage-adjusted labour productivity ratio, which accounts for the different levels of pay and social charges between EU countries and activities.
	[~~INSERT NEW DATABROWSER BOOKMARK URL]~~ data browser - Average employee benefits expense and wage-adjusted labour productivity		[https://ec.europa.eu/eurostat/databrowser/bookmark/7f3897be-1c81-421d-af12-d94fa97c486b?lang=en&createdAt=2026-01-20T17:09:53Z data browser- Average employee benefits expense and wage-adjusted labour productivity]
	[sbs_ovw_act] Enterprises by detailed NACE Rev. 2 activity and special aggregates		[sbs_ovw_act] Enterprises by detailed NACE Rev. 2 activity and special aggregates
	<br>		<br>
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	[[File: SE- Construction ---- Table 2.png \|thumb\|centre\|700px\|Table 2: Key indicators: Construction (NACE Section F), EU, 2023<br>''Source:'' Eurostat {{Stable link\|title=\|code=sbs_ovw_act}}\|alt= Table showing key indicators for the construction sector in the EU for the year 2023.]]		[[File: SE- Construction ---- Table 2.png \|thumb\|centre\|700px\|Table 2: Key indicators: Construction (NACE Section F), EU, 2023<br>''Source:'' Eurostat {{Stable link\|title=\|code=sbs_ovw_act}}\|alt= Table showing key indicators for the construction sector in the EU for the year 2023.]]

			You can also browse variables in the Construction sector - such as [[Glossary:Value_of_output_-_EBS\|Value of output]], [[Glossary:Total_purchases_of_goods_and_services\|Purchases of goods and services]], or [[Glossary:Hours_worked_by_employees_-_EBS\|hours worked by employees]], - by enterprise size class in the interactive visualisation below.

	<br>		<br>

Tertiary education statistics

EXT-S-Allen — Wed, 20 May 2026 14:13:02 GMT

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	The analysis by sex of students and graduates from different fields varied most for generic programmes and qualifications – compare Figure 1 and Figure 4. In this field, there were 1.7 times as many female as male students, but 2.1 times as many female as male graduates. In all fields, the ratio of women to men was higher among graduates than among students: the smallest differences – where the ratios were almost the same – were the male-dominated fields of engineering, manufacturing and construction (0.4 female students/graduates for every male) as well as information and communication technologies (0.3 female students/graduates for every male).		The analysis by sex of students and graduates from different fields varied most for generic programmes and qualifications – compare Figure 1 and Figure 4. In this field, there were 1.7 times as many female as male students, but 2.1 times as many female as male graduates. In all fields, the ratio of women to men was higher among graduates than among students: the smallest differences – where the ratios were almost the same – were the male-dominated fields of engineering, manufacturing and construction (0.4 female students/graduates for every male) as well as information and communication technologies (0.3 female students/graduates for every male).

	<image imgid="figure5" zoom="100">[[Image:Number of tertiary education graduates in each detailed field of education, EU, 2024 (1 000)_ET2026.png\|thumb\|centre\|700px\|Figure 5: Number of tertiary education graduates in each detailed field of education, EU, 2024<br>''Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/37d15ea0-7a0b-46b8-8a4a-8e5a0af35502?lang=en educ_uoe_grad02])\|alt=Two bar charts showing the number of tertiary education graduates in each detailed field of education in thousands. The first bar chart shows data for bachelor’s or equivalent graduates and the second data for master’s or equivalent graduates. Data are shown for 2024 for the EU. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>

	A more detailed analysis of field of study is presented in Figure 5, which shows the number of graduates with a bachelor’s or a master’s degree. While many subjects are offered at both bachelor’s and master’s levels, it is important to note that courses in some fields, for example medicine and law, may be offered in some EU countries principally or exclusively as master’s courses. In these cases, the number of graduates at the bachelor’s level may be small or even zero.		A more detailed analysis of field of study is presented in Figure 5, which shows the number of graduates with a bachelor’s or a master’s degree. While many subjects are offered at both bachelor’s and master’s levels, it is important to note that courses in some fields, for example medicine and law, may be offered in some EU countries principally or exclusively as master’s courses. In these cases, the number of graduates at the bachelor’s level may be small or even zero.

	In 2024, the most frequently awarded degree – based on detailed fields of education – was for management and administration; across the EU, some 230 900 people in this field graduated with a bachelor’s degree and 147 500 with a master’s degree. Nursing and midwifery was the second most common field for those graduating with a bachelor’s degree (109 000), followed by law (99 100). By contrast, medicine was the second most frequently awarded degree among those graduating with a master’s degree (133 000), followed by law (106 400).		In 2024, the most frequently awarded degree – based on detailed fields of education – was for management and administration; across the EU, some 230 900 people in this field graduated with a bachelor’s degree and 147 500 with a master’s degree. Nursing and midwifery was the second most common field for those graduating with a bachelor’s degree (109 000), followed by law (99 100). By contrast, medicine was the second most frequently awarded degree among those graduating with a master’s degree (133 000), followed by law (106 400).
			<image imgid="figure5" zoom="100">[[Image:Number of tertiary education graduates in each detailed field of education, EU, 2024 (1 000)_ET2026.png\|thumb\|centre\|700px\|Figure 5: Number of tertiary education graduates in each detailed field of education, EU, 2024<br>''Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/37d15ea0-7a0b-46b8-8a4a-8e5a0af35502?lang=en educ_uoe_grad02])\|alt=Two bar charts showing the number of tertiary education graduates in each detailed field of education in thousands. The first bar chart shows data for bachelor’s or equivalent graduates and the second data for master’s or equivalent graduates. Data are shown for 2024 for the EU. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>

	<image imgid="figure6" zoom="100">[[Image:Tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction, 2024 (number per 1 000 inhabitants aged 20–29 years)_ET2026.png\|thumb\|centre\|700px\|Figure 6: Tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction, 2024<br>''Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/d8d54bbe-5d35-4132-9bb3-8fdea7122b8f?lang=en educ_uoe_grad04])\|alt=A high-low chart showing the number of tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction per thousand inhabitants aged 20 to 29 years. Two markers show the ratios for males and for females. Data are shown for 2024 for the EU as well as EU, EFTA and enlargement countries. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>		<image imgid="figure6" zoom="100">[[Image:Tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction, 2024 (number per 1 000 inhabitants aged 20–29 years)_ET2026.png\|thumb\|centre\|700px\|Figure 6: Tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction, 2024<br>''Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/d8d54bbe-5d35-4132-9bb3-8fdea7122b8f?lang=en educ_uoe_grad04])\|alt=A high-low chart showing the number of tertiary education graduates in science, mathematics, computing, engineering, manufacturing and construction per thousand inhabitants aged 20 to 29 years. Two markers show the ratios for males and for females. Data are shown for 2024 for the EU as well as EU, EFTA and enlargement countries. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>

Learning mobility statistics

EXT-S-Allen — Wed, 20 May 2026 14:11:56 GMT

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	'''Field of study of students from abroad'''		'''Field of study of students from abroad'''
	<image imgid="table3" zoom="100">[[Image:Share of tertiary education students from abroad by field, 2024 (% of all tertiary education students from abroad)_ET2026.png\|thumb\|centre\|700px\|Table 3: Share of tertiary education students from abroad by field, 2024<BR> '' Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/f2126c68-a229-4af7-b088-1ef2e67200ab?lang=en educ_uoe_mobs04])\|alt=A table showing the share of tertiary education students from abroad by field. Data are shown for 12 broad fields of education. Data are shown in percent for 2024 for the EU as well as EU, EFTA and enlargement countries. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>

	Table 3 provides an analysis of students from abroad according to their field of education. Across the EU, the most common field of study for tertiary students from abroad – among those shown in the table, which is based on the ISCED-F 2013 classification (see the section on [[#Data_sources\|Data sources]] for more information) – was business, administration and law (22.1% of all students from abroad). This was followed by engineering, manufacturing and construction (17.9%), health and welfare (13.7%), arts and humanities (11.5%) and social sciences, journalism and information (10.1%). By contrast, students from abroad following services, education, or agriculture, forestry, fisheries and veterinary fields of study accounted for a relatively small share of the total number of students from abroad (each less than 2.5%).		Table 3 provides an analysis of students from abroad according to their field of education. Across the EU, the most common field of study for tertiary students from abroad – among those shown in the table, which is based on the ISCED-F 2013 classification (see the section on [[#Data_sources\|Data sources]] for more information) – was business, administration and law (22.1% of all students from abroad). This was followed by engineering, manufacturing and construction (17.9%), health and welfare (13.7%), arts and humanities (11.5%) and social sciences, journalism and information (10.1%). By contrast, students from abroad following services, education, or agriculture, forestry, fisheries and veterinary fields of study accounted for a relatively small share of the total number of students from abroad (each less than 2.5%).
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	Business, administration and law was the most common field of study for tertiary students from abroad in 15 of the EU countries; for example, this field of education accounted for around half (48.9%) of all tertiary students from abroad studying in Cyprus. Health or welfare was the most common field of study for students from abroad in 6 of the EU countries; for example, this field of education accounted for close to three fifths (60.6%) of all tertiary students from abroad studying in Bulgaria. Engineering, manufacturing and construction was the most common field in Denmark, Germany, Greece, Italy and Sweden. In Finland, the most common field for tertiary students from abroad was information and communication technologies, with a 21.5% share; this was also the highest share for this field among the EU countries.		Business, administration and law was the most common field of study for tertiary students from abroad in 15 of the EU countries; for example, this field of education accounted for around half (48.9%) of all tertiary students from abroad studying in Cyprus. Health or welfare was the most common field of study for students from abroad in 6 of the EU countries; for example, this field of education accounted for close to three fifths (60.6%) of all tertiary students from abroad studying in Bulgaria. Engineering, manufacturing and construction was the most common field in Denmark, Germany, Greece, Italy and Sweden. In Finland, the most common field for tertiary students from abroad was information and communication technologies, with a 21.5% share; this was also the highest share for this field among the EU countries.
			<image imgid="table3" zoom="100">[[Image:Share of tertiary education students from abroad by field, 2024 (% of all tertiary education students from abroad)_ET2026.png\|thumb\|centre\|700px\|Table 3: Share of tertiary education students from abroad by field, 2024<BR> '' Source:'' Eurostat (online data code: [https://ec.europa.eu/eurostat/databrowser/bookmark/f2126c68-a229-4af7-b088-1ef2e67200ab?lang=en educ_uoe_mobs04])\|alt=A table showing the share of tertiary education students from abroad by field. Data are shown for 12 broad fields of education. Data are shown in percent for 2024 for the EU as well as EU, EFTA and enlargement countries. The complete data of the visualisation are available in the Excel file at the end of the article. For more details please use the link to the source dataset code below the image.]]</image>
	</sesection>		</sesection>

Vocational education statistics

EXT-S-Allen — Wed, 20 May 2026 14:09:40 GMT

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	<updatedata>		<updatedata>
	Data extracted in May 2026		Data extracted in May 2026

	Planned article update: June 2027		Planned article update: June 2027
	</updatedata>		</updatedata>

File:Vocational education statistics-interactive ET2026.xlsx

EXT-S-Allen — Wed, 20 May 2026 14:09:24 GMT

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Energy consumption in households

Rosswen — Wed, 20 May 2026 14:09:23 GMT

← Older revision		Revision as of 16:09, 20 May 2026
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	Data extracted in June 2025		Data extracted in June 2025

	Planned article update: 2 June 2026		Planned article update: 10 June 2026
	</updatedata>		</updatedata>

Vocational education statistics

EXT-S-Allen — Wed, 20 May 2026 14:08:36 GMT

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	<updatedata>		<updatedata>
	Data extracted in May 2026		Data extracted in May 2026

	Planned article update: June 2027		Planned article update: June 2027
	</updatedata>		</updatedata>

File:Vocational education statistics-interactive ET2026.xlsx

EXT-S-Allen — Wed, 20 May 2026 14:08:18 GMT

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Vocational education statistics

EXT-S-Allen — Wed, 20 May 2026 14:05:36 GMT

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Businesses in non-manufacturing industries

Doyland — Wed, 20 May 2026 14:03:58 GMT

← Older revision		Revision as of 16:03, 20 May 2026
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	===Sectoral analysis===		===Sectoral analysis===

	The ~~sub-sectors of the~~ 3 non-manufacturing sectors (B,D,E) display disparity. At the NACE division level the mining and quarrying is composed of 5 divisions, Electricity, gas, steam and air conditioning supply of 1 division and water supply, sewerage, waste management and remediation activities of 4 divisions. For more information and comparisons between the divisions please refer to Data browser. — see [https://ec.europa.eu/eurostat/databrowser/view/sbs_ovw_act__custom_20726829/default/table] [sbs_ovw_act] Enterprises by detailed NACE Rev. 2 activity and special aggregates.		The 3 non-manufacturing sectors (B,D,E) display disparity. At the NACE division level the mining and quarrying is composed of 5 divisions, Electricity, gas, steam and air conditioning supply of 1 division and water supply, sewerage, waste management and remediation activities of 4 divisions. For more information and comparisons between the divisions please refer to Data browser. — see [https://ec.europa.eu/eurostat/databrowser/view/sbs_ovw_act__custom_20726829/default/table] [sbs_ovw_act] Enterprises by detailed NACE Rev. 2 activity and special aggregates.

Tertiary education statistics

EXT-S-Allen — Wed, 20 May 2026 14:03:52 GMT

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Causes of death - monthly statistics

Rosswen — Wed, 20 May 2026 14:01:32 GMT

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Learning mobility statistics

EXT-S-Allen — Wed, 20 May 2026 14:00:31 GMT

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Early childhood education statistics

EXT-S-Allen — Wed, 20 May 2026 13:57:55 GMT

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	Data extracted in May 2026		Data extracted in May 2026

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	</updatedata>		</updatedata>

File:Number of teachers in early childhood education, 2024 (number) ET2026.png

EXT-S-Allen — Wed, 20 May 2026 13:57:45 GMT

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ICT specialists in employment

Karpkar — Wed, 20 May 2026 13:56:28 GMT

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Karpkar — Wed, 20 May 2026 13:56:19 GMT

Karpkar uploaded File:ICT specialists in employment 20 05 26 v3.xlsx

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ICT specialists in employment

Karpkar — Wed, 20 May 2026 13:55:30 GMT

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File:ICT specialists in employment 20 05 26 v2.xlsx

Karpkar — Wed, 20 May 2026 13:55:09 GMT

Karpkar uploaded File:ICT specialists in employment 20 05 26 v2.xlsx

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File:Early childhood education statistics-interactive ET2026.xlsx

EXT-S-Allen — Wed, 20 May 2026 13:54:02 GMT

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ICT specialists in employment

Karpkar — Wed, 20 May 2026 13:53:06 GMT

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