In 1800, the population of Cyprus was approximately 185 thousand people, a population which would remain stagnant throughout most of the 19th century. However, following the re-administration of Cyprus from the Ottoman Empire to the United Kingdom during the 1878 Cyprus Convention, when it became an integral part of Britain's military presence in the Mediterranean, the population of Cyprus began to grow. It reached over 400,000 people by the beginning of the Second World War, but would plateau at approximately 580 thousand in the early-1960s, after Cyprus, like many British colonies in the decades following the Second World War, gained independence from the empire. Cyprus crises 1960s and 1970s There were several periods of conflict and political instability on either side of this transition, as nationalist uprisings led to eventual independence, but this was soon followed by an split between Cyprus' ethnic Greek and Turkish populations. To summarize, Turkish Cypriots, who made up just under twenty percent of the population, felt they were being given a minority status and were not treated as equal citizens to the Greek Cypriots; the 1960s were characterized by political crises and tensions, exacerbated by foreign pressure from the Greek and Turkish governments. In July 1974, the military regime in mainland Greece orchestrated a coup d'état in Cyprus, in an attempt to annex the island, but five days later Turkish forces invaded northern Cyprus, taking control of roughly one-third of the island within two months. Over one thousand people died in the invasion, before a ceasefire was established, and then almost one third of the entire population were relocated to the respective region of their ethnic origin. The United Nations established a buffer zone between the Greek and Turkish regions of Cyprus, which remains the de facto border between the two regions today. Post-split Cyprus Cyprus joined the European Union in 2004, and the Eurozone in 2008. Cyprus is considered a developed nation with a high-income economy and booming tourism sector. Tensions between the Greek and Turkish regions of Cyprus have gradually eased in the decades since partition, with increased freedom of movement between the north and south; however, in 2020, Turkish oil probes in the Mediterranean have crossed into Cypriot waters, which has worsened relations with the EU and wider international community. Cyprus' population reached one million people in the early 2000s, and in 2020 it is estimated to be just over 1.2 million people.

This is the second “Cyprus World Internet Project” survey. It was conducted in May-June 2010. Information was gathered via personal interview with a sample of 1000 Greek-Cypriots and 600 Turkish-Cypriots. The data collected is therefore more significantly representative of the Cypriot population than the first survey conducted in 2008 which considered only the views of the Greek-Cypriot community.

Genetics can provide invaluable information on the ancestry of the current inhabitants of Cyprus. A Y-chromosome analysis was performed to (i) determine paternal ancestry among the Greek Cypriot (GCy) community in the context of the Central and Eastern Mediterranean and the Near East; and (ii) identify genetic similarities and differences between Greek Cypriots (GCy) and Turkish Cypriots (TCy). Our haplotype-based analysis has revealed that GCy and TCy patrilineages derive primarily from a single gene pool and show very close genetic affinity (low genetic differentiation) to Calabrian Italian and Lebanese patrilineages. In terms of more recent (past millennium) ancestry, as indicated by Y-haplotype sharing, GCy and TCy share much more haplotypes between them than with any surrounding population (7–8% of total haplotypes shared), while TCy also share around 3% of haplotypes with mainland Turks, and to a lesser extent with North Africans. In terms of Y-haplogroup frequencies, again GCy and TCy show very similar distributions, with the predominant haplogroups in both being J2a-M410, E-M78, and G2-P287. Overall, GCy also have a similar Y-haplogroup distribution to non-Turkic Anatolian and Southwest Caucasian populations, as well as Cretan Greeks. TCy show a slight shift towards Turkish populations, due to the presence of Eastern Eurasian (some of which of possible Ottoman origin) Y-haplogroups. Overall, the Y-chromosome analysis performed, using both Y-STR haplotype and binary Y-haplogroup data puts Cypriot in the middle of a genetic continuum stretching from the Levant to Southeast Europe and reveals that despite some differences in haplotype sharing and haplogroup structure, Greek Cypriots and Turkish Cypriots share primarily a common pre-Ottoman paternal ancestry.

This is the fourth "Cyprus World Internet Project" survey. It was conducted in October-December 2014. The sample size of the Cyprot data is 2039 (1000 from the Greek-Cypriot community and 1039 from the Turkish-Cypriot community). Information was gathered via personal interview with a sample of 1000 Greek-Cypriots and 600 Turkish-Cypriots. The data collected is therefore more significantly representative of the Cypriot population than the first survey conducted in 2008 which considered only the views of the Greek-Cypriot community. Main topics: ICT Usage, Internet access hours, Digital divide, Internet impressions, Media use, Online transactions, Social networking, Identity and social relations, Overall evaluation of the internet, Multitasking and Communication, Entertainment, Everyday transactions, Learning, Political self-placement and political efficacy, Freedom of speech and surveillance, Information and discussion about the Cyprus Problem.

There were approximately ** thousand Cypriot nationals residing in the United Kingdom in 2021, a decrease from the ** thousand Cypriot nationals residing in the United Kingdom in 2008. The highest number of Cypriot nationals residing in the United Kingdom was in 2013 with ** thousand nationals.

Additional file 5: Table S4. Genetic differentiation index. Pairwise values for DEST, per analyzed breed. Maximum and minimum values within each of the predefined geographical groups are depicted in bold letters in gray rectangle. Maximum and minimum values considering all 115 breeds are in bold letters in green and yellow, respectively.

Haplogroup subclades found in Greek Cypriots, Armenian Cypriots, Maronite Cypriots, Greece, Lebanon, Syria and Turkey. (XLSX)

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National.

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1000.

Geographically, the study covered all areas of Cyprus through two surveys (same procedure as in the 2005-2006 Survey). In the Republic of Cyprus we covered all areas (urban and rural) and the same was done in the north, which is the Turkish controlled TRNC. Sample distribution were in line with the distribution of the True Population in the areas covered by the study. Stratified random probability sampling was utilized to select the sample for this study: The sampling involved five stages as follows. Stage One: Areas of the island was divided into rural and urban areas based on the latest available Population Census in each community. Urban settlements were further subdivided into smaller segments of approximately equal population size (1000 residents) and constituted a Primary Sampling Unit (PSU). In rural areas, each village was considered as an individual PSU, with a probability of being selected that was proportionate to its population size. Stage Two: A number of PSUs were selected at random based on the sample size using purpose-built software. The selection of PSUs by area was in-line with the size of the True Population. Stage Three: Within each urban PSU selected, a street was randomly selected to serve as the starting point for household selection. In rural areas (villages) the starting point was the temple in the centre of the village for the Greek Cypriot survey and the local café for the Turkish Cypriot survey. Stage Four: Given a starting point, interviewers proceed in a predetermined fashion, selecting every 3rd household they encountered in the sample. For each starting point an equal number of interviews were allocated (10). For more information on sampling procedure refer to the Sampling Design document of the Related Materials

Mode of data collection

Face-to-face [f2f]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

Response rate

The expected response rate was around 85% (worst case scenario). However, we received a 91% response rate in TRNC and 93% response rate in the Republic of Cyprus.

Sampling error estimates

Estimated error: 3.2

Calculated genetic distances among datasets of Cypriots.

The genetic distances were calculated between Cypriots and countries of interest using the Arlequin software, providing information regarding their genetic differentiation. (XLSX)

The Greek life and non-life insurance market, while smaller than many Western European counterparts, exhibits promising growth potential. The period from 2019 to 2024 witnessed a period of recovery following the economic crisis, characterized by increased consumer confidence and a gradual rise in insurance penetration. While precise figures for market size are not provided, leveraging publicly available data on the European insurance market and considering Greece's GDP growth and population demographics, a reasonable estimation for the total market size in 2025 is approximately €8 billion, with the non-life sector slightly larger than the life sector. This is supported by the observation that non-life insurance tends to be more resilient during economic downturns due to its mandatory aspects (e.g., auto insurance). Looking forward to 2033, the compound annual growth rate (CAGR) is a crucial factor determining market expansion. Assuming a conservative CAGR of 3% based on projected Greek economic growth and increasing awareness of insurance products, the market is anticipated to reach approximately €11 billion by 2033. Growth will be driven primarily by an aging population increasing demand for health and long-term care insurance in the life sector, and rising motorization and property values boosting non-life insurance premiums. Regulatory changes aimed at improving market transparency and consumer protection will also contribute to market growth, fostering trust and encouraging greater participation. However, challenges remain; these include persistently high unemployment rates and public debt, which may temper overall market expansion. Furthermore, the industry's digital transformation will be a key driver of success, demanding investments in technology and customer-centric digital platforms. Recent developments include: In 2021, Greek Insurance Conglomerate Ethniki Sold to Private Fund. Through its subsidiaries Garanta and Ethniki Asfalistiki Cyprus, it has a significant and dynamic presence in Romania and Cyprus, respectively. Its growth has attracted the interest of several foreign funds recently. In a statement, CVC Capital announced that it has entered into a definitive agreement to acquire 90.01% of Ethniki Insurance from NBG., In 2020, Generali acquired AXA's Greek activity. The deal includes its activity in life and general insurance policies, and the tag amounts to 12.2 times the price per earnings ratio of 2019. The transaction continues the streamlining policy of the French group based on its general strategy and is expected to be completed in the second quarter of the year, pending approval by the regulatory authorities.. Notable trends are: Penetration Ratio of Insurance Premium and their Investments to GDP Increased Greece Life & Non-Life Insurance Industry Size.

Haplogroups from the current study and haplogroup data from previous studies regarding the countries of interest were combined and major haplogroup frequencies were calculated. (XLSX)

A combination of a forward and reverse primers from the table were used for a targeted sequencing for each hypervariable segment. (XLSX)

The aim of the marine radioecology project is:- to study the natural and artificial radioactivity in the marine ecosystem in the Eastern Mediterranean (Aegean, Cyprus, Ionian and Adriatic Seas) and the Black Sea,- to provide a chartography of natural and man made radiation levels in abiotic materials and biota of the marine environment,- to assess the radionuclide transfer through the different trophic links of the marine food chain,- to evaluate the exposure doses received by the Greek population from the consumption of marine foodstuffs and- to evaluate the effects of ionizing radiation on natural aquatic populations in terms of acute and chronic irradiation.The period covered is 1984-2000 for sea water and sediments, (1999-2000) for Cyprus Sea) and 1984-1998 for marine biota. The measured radionuclides are 137Cs (134Cs for 1986 also) and the natural radionuclides of uranium-radium and thorium decay series and 40K as well.

Abstract

EU-SILC has become the EU reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the "Program of Community action to encourage cooperation between Member States to combat social exclusion" and for producing structural indicators on social cohesion for the annual spring report to the European Council. The first priority is to be given to the delivery of comparable, timely and high quality cross-sectional data.

There are two types of datasets: 1) Cross-sectional data pertaining to fixed time periods, with variables on income, poverty, social exclusion and living conditions. 2) Longitudinal data pertaining to individual-level changes over time, observed periodically - usually over four years.

Social exclusion and housing-condition information is collected at household level. Income at a detailed component level is collected at personal level, with some components included in the "Household" section. Labour, education and health observations only apply to persons 16 and older. EU-SILC was established to provide data on structural indicators of social cohesion (at-risk-of-poverty rate, S80/S20 and gender pay gap) and to provide relevant data for the two 'open methods of coordination' in the field of social inclusion and pensions in Europe.

The 7th version of the 2008 Cross-Sectional User Database (UDB) as released in July 2015 is documented here.

Geographic coverage

The survey covers following countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Germany, Estonia, Greece, Spain, France, Ireland, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, Netherlands, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, United Kingdom, Iceland, Norway.

Small parts of the national territory amounting to no more than 2% of the national population and the national territories listed below may be excluded from EU-SILC: France - French Overseas Departments and territories; Netherlands - The West Frisian Islands with the exception of Texel; Ireland - All offshore islands with the exception of Achill, Bull, Cruit, Gorumna, Inishnee, Lettermore, Lettermullan and Valentia; United kingdom - Scotland north of the Caledonian Canal, the Scilly Islands.

Analysis unit

• Households;
• Individuals 16 years and older.

Universe

The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.

Kind of data

Sample survey data [ssd]

Sampling procedure

On the basis of various statistical and practical considerations and the precision requirements for the most critical variables, the minimum effective sample sizes to be achieved were defined. Sample size for the longitudinal component refers, for any pair of consecutive years, to the number of households successfully interviewed in the first year in which all or at least a majority of the household members aged 16 or over are successfully interviewed in both the years.

For the cross-sectional component, the plans are to achieve the minimum effective sample size of around 131.000 households in the EU as a whole (137.000 including Iceland and Norway). The allocation of the EU sample among countries represents a compromise between two objectives: the production of results at the level of individual countries, and production for the EU as a whole. Requirements for the longitudinal data will be less important. For this component, an effective sample size of around 98.000 households (103.000 including Iceland and Norway) is planned.

Member States using registers for income and other data may use a sample of persons (selected respondents) rather than a sample of complete households in the interview survey. The minimum effective sample size in terms of the number of persons aged 16 or over to be interviewed in detail is in this case taken as 75 % of the figures shown in columns 3 and 4 of the table I, for the cross-sectional and longitudinal components respectively.

The reference is to the effective sample size, which is the size required if the survey were based on simple random sampling (design effect in relation to the 'risk of poverty rate' variable = 1.0). The actual sample sizes will have to be larger to the extent that the design effects exceed 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size refers to the number of valid households which are households for which, and for all members of which, all or nearly all the required information has been obtained. For countries with a sample of persons design, information on income and other data shall be collected for the household of each selected respondent and for all its members.

At the beginning, a cross-sectional representative sample of households is selected. It is divided into say 4 sub-samples, each by itself representative of the whole population and similar in structure to the whole sample. One sub-sample is purely cross-sectional and is not followed up after the first round. Respondents in the second sub-sample are requested to participate in the panel for 2 years, in the third sub-sample for 3 years, and in the fourth for 4 years. From year 2 onwards, one new panel is introduced each year, with request for participation for 4 years. In any one year, the sample consists of 4 sub-samples, which together constitute the cross-sectional sample. In year 1 they are all new samples; in all subsequent years, only one is new sample. In year 2, three are panels in the second year; in year 3, one is a panel in the second year and two in the third year; in subsequent years, one is a panel for the second year, one for the third year, and one for the fourth (final) year.

According to the Commission Regulation on sampling and tracing rules, the selection of the sample will be drawn according to the following requirements:

1. For all components of EU-SILC (whether survey or register based), the cross-sectional and longitudinal (initial sample) data shall be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. All private households and all persons aged 16 and over within the household are eligible for the operation.
2. Representative probability samples shall be achieved both for households, which form the basic units of sampling, data collection and data analysis, and for individual persons in the target population.
3. The sampling frame and methods of sample selection shall ensure that every individual and household in the target population is assigned a known and non-zero probability of selection.
4. By way of exception, paragraphs 1 to 3 shall apply in Germany exclusively to the part of the sample based on probability sampling according to Article 8 of the Regulation of the European Parliament and of the Council (EC) No 1177/2003 concerning

Community Statistics on Income and Living Conditions. Article 8 of the EU-SILC Regulation of the European Parliament and of the Council mentions: 1. The cross-sectional and longitudinal data shall be based on nationally representative probability samples. 2. By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008. For the year 2005, Germany shall supply data for one fourth based on probability sampling and for three fourths based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008. For the longitudinal component, Germany shall supply for the year 2006 one third of longitudinal data (data for year 2005 and 2006) based on probability sampling and two thirds based on quota samples. For the year 2007, half of the longitudinal data relating to years 2005, 2006 and 2007 shall be based on probability sampling and half on quota sample. After 2007 all of the longitudinal data shall be based on probability sampling.

Detailed information about sampling is available in Quality Reports in Related Materials.

Mode of data collection

Mixed

Abstract

In 2009, the EU-SILC instrument covered all EU Member States plus Iceland, Turkey, Norway and Switzerland. EU-SILC has become the EU reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the "Program of Community action to encourage cooperation between Member States to combat social exclusion" and for producing structural indicators on social cohesion for the annual spring report to the European Council. The first priority is to be given to the delivery of comparable, timely and high quality cross-sectional data.

There are two types of datasets: 1) Cross-sectional data pertaining to fixed time periods, with variables on income, poverty, social exclusion and living conditions. 2) Longitudinal data pertaining to individual-level changes over time, observed periodically - usually over four years.

Social exclusion and housing-condition information is collected at household level. Income at a detailed component level is collected at personal level, with some components included in the "Household" section. Labour, education and health observations only apply to persons 16 and older. EU-SILC was established to provide data on structural indicators of social cohesion (at-risk-of-poverty rate, S80/S20 and gender pay gap) and to provide relevant data for the two 'open methods of coordination' in the field of social inclusion and pensions in Europe.

The 7th version of the 2009 Cross-Sectional User Database (UDB) as released in July 2015 is documented here.

Geographic coverage

The survey covers following countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Germany, Estonia, Greece, Spain, France, Ireland, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, Netherlands, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, United Kingdom, Iceland, Norway.

Small parts of the national territory amounting to no more than 2% of the national population and the national territories listed below may be excluded from EU-SILC: France - French Overseas Departments and territories; Netherlands - The West Frisian Islands with the exception of Texel; Ireland - All offshore islands with the exception of Achill, Bull, Cruit, Gorumna, Inishnee, Lettermore, Lettermullan and Valentia; United kingdom - Scotland north of the Caledonian Canal, the Scilly Islands.

Analysis unit

• Households;
• Individuals 16 years and older.

Universe

The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.

Kind of data

Sample survey data [ssd]

Sampling procedure

On the basis of various statistical and practical considerations and the precision requirements for the most critical variables, the minimum effective sample sizes to be achieved were defined. Sample size for the longitudinal component refers, for any pair of consecutive years, to the number of households successfully interviewed in the first year in which all or at least a majority of the household members aged 16 or over are successfully interviewed in both the years.

For the cross-sectional component, the plans are to achieve the minimum effective sample size of around 131.000 households in the EU as a whole (137.000 including Iceland and Norway). The allocation of the EU sample among countries represents a compromise between two objectives: the production of results at the level of individual countries, and production for the EU as a whole. Requirements for the longitudinal data will be less important. For this component, an effective sample size of around 98.000 households (103.000 including Iceland and Norway) is planned.

Member States using registers for income and other data may use a sample of persons (selected respondents) rather than a sample of complete households in the interview survey. The minimum effective sample size in terms of the number of persons aged 16 or over to be interviewed in detail is in this case taken as 75 % of the figures shown in columns 3 and 4 of the table I, for the cross-sectional and longitudinal components respectively.

The reference is to the effective sample size, which is the size required if the survey were based on simple random sampling (design effect in relation to the 'risk of poverty rate' variable = 1.0). The actual sample sizes will have to be larger to the extent that the design effects exceed 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size refers to the number of valid households which are households for which, and for all members of which, all or nearly all the required information has been obtained. For countries with a sample of persons design, information on income and other data shall be collected for the household of each selected respondent and for all its members.

At the beginning, a cross-sectional representative sample of households is selected. It is divided into say 4 sub-samples, each by itself representative of the whole population and similar in structure to the whole sample. One sub-sample is purely cross-sectional and is not followed up after the first round. Respondents in the second sub-sample are requested to participate in the panel for 2 years, in the third sub-sample for 3 years, and in the fourth for 4 years. From year 2 onwards, one new panel is introduced each year, with request for participation for 4 years. In any one year, the sample consists of 4 sub-samples, which together constitute the cross-sectional sample. In year 1 they are all new samples; in all subsequent years, only one is new sample. In year 2, three are panels in the second year; in year 3, one is a panel in the second year and two in the third year; in subsequent years, one is a panel for the second year, one for the third year, and one for the fourth (final) year.

According to the Commission Regulation on sampling and tracing rules, the selection of the sample will be drawn according to the following requirements:

1. For all components of EU-SILC (whether survey or register based), the crosssectional and longitudinal (initial sample) data shall be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. All private households and all persons aged 16 and over within the household are eligible for the operation.
2. Representative probability samples shall be achieved both for households, which form the basic units of sampling, data collection and data analysis, and for individual persons in the target population.
3. The sampling frame and methods of sample selection shall ensure that every individual and household in the target population is assigned a known and non-zero probability of selection.
4. By way of exception, paragraphs 1 to 3 shall apply in Germany exclusively to the part of the sample based on probability sampling according to Article 8 of the Regulation of the European Parliament and of the Council (EC) No 1177/2003 concerning

Community Statistics on Income and Living Conditions. Article 8 of the EU-SILC Regulation of the European Parliament and of the Council mentions: 1. The cross-sectional and longitudinal data shall be based on nationally representative probability samples. 2. By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008. For the year 2005, Germany shall supply data for one fourth based on probability sampling and for three fourths based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008. For the longitudinal component, Germany shall supply for the year 2006 one third of longitudinal data (data for year 2005 and 2006) based on probability sampling and two thirds based on quota samples. For the year 2007, half of the longitudinal data relating to years 2005, 2006 and 2007 shall be based on probability sampling and half on quota sample. After 2007 all of the longitudinal data shall be based on probability sampling.

Detailed information about sampling is available in Quality Reports in Related Materials.

Mode of data collection

Mixed

In 2024, 13,779 immigrants who reached Italy came from Bangladesh. Moreover, around 12,500 migrants were from Syria, whereas 7,700 people originated from Tunisia. These three nationalities constituted more than half of the total individuals arrived. Mediterranean routes to Europe The Mediterranean Sea recorded the largest number of deaths and missing cases of migrants worldwide. The Mediterranean Route leading to Italy is known as the Central Mediterranean Route, which counts the highest number of fatalities among the different Mediterranean routes. This route includes the crossing from North Africa to Italy, as well as to Malta. The main departing country is Libya, while Tunisia, Egypt, and East Algeria are minor departing shores. After the Central Mediterranean Sea, the Eastern Mediterranean Sea registered the second-highest number of deaths and missing people. The Eastern Mediterranean route includes migration flows from Türkiye to Greece and Cyprus. Main countries of arrival Between January and October 2024, Italy was the European country registering the largest number of migrants' arrivals. All the 55,000 immigrants reached the country by sea. Spain was the second country of first arrival in Europe, followed by Greece. The overall number of migrants who set foot on Italian shores expanded in the last years. However, the death and missing cases did not drop proportionally to the number of people who reached the coast.