This statistic shows the total population of the three Baltic states of Estonia, Latvia and Lithuania from 1950 to 2020. Although the populations are quite different, all three countries followed a relatively similar trend throughout the last seventy years. Each country's population was devastated during the Second World War, Lithuania losing over 14 percent of the population, and Latvia and Estonia losing 12.5 percent and 7.3 percent respectively. In 1950 the populations were at around one, two and 2.5 million people respectively, and all three populations grew steadily until 1990 (although Estonia's grew at a slower rate than the other two countries). Independence movements After the Second World War the three Baltic states were incorporated into the Soviet Union, but when the Soviet economy began failing in the 1980s these states became increasingly dissatisfied with Soviet policies in the region. With growing nationalism in the area, the countries coordinated peaceful protests aimed at restoring independence to the region, in what would become known as the Singing Revolution, which involved a human chain that involved approximately 2 million people and stretched for over 675 kilometers connecting the three capital cities. Large declines following independence Within two years of the revolution all three countries became independent from the Soviet Union, and this change coincides with the drops in population of all three countries. By 1995 the populations of each country had dropped, and at a faster rate in Estonia and Latvia than in Lithuania. This decline has continued for the past 30 years, with the numbers falling at every five year interval for each country. By 2020, Estonia's population will have dropped by almost 240 thousand people, Latvia's by over 770 thousand, and Lithuania's by almost one million. The fall of the Soviet Union, combined with the Baltic nations joining the EU in 2004, meant that emigration was much easier and many from the Baltics went to Western Europe in search of work. Along with a declining natural birth rate, the populations of each country have been in steady decline and this trend is expected to continue into the next few decades, although new figures do suggest some growth for Estonia.

This graph shows the total population of Estonia, Latvia and Lithuania in the years between 1922 and 1935, as well as the total number of males and females. After the First World War the Baltic states began claiming their independence from tsarist Russia, as the events of the Russian Revolution took place. Inter-war Estonia The Estonian War of Independence from 1918 to 1920 led to the country's first period of independence, until it became occupied by the Soviet Union again in 1940 during the Second World War. After Estonia gained independence the country experienced a period of political turmoil, including a failed coup d'etat in 1924, and was hit hard by the Great Depression in 1929 before things became more stable in the mid 1930s. Between 1939 and 1945 Estonia's population was devastated by the Second World War, with some estimates claiming that as many as 7.3 percent of all civilians perished as a result of the conflict. From the graph we can see the population grew by 119 thousand people during the 12 years shown, growing from 1.107 million to 1.126 million. The number of women was also higher than the number of men during this time, by 67 thousand in 1922 and 68 thousand in 1934. Inter-war Latvia For Latvia, Independence was a hard-won struggle that had devastated the population in the late 1910s. Similarly to Estonia, the advent of independence brought many challenges to Latvia, and a period of political and economic turmoil followed, which was exacerbated by the Great Depression in 1929. After economic recovery began in 1933, and a coup d'etat established stricter control in 1934, the Latvian economy and political landscape became more stable and the quality of life improved. This lasted until the Second World War, where Latvia became one of the staging grounds of Germany's war against Soviet Russia, and approximately 12.5 percent of all civilians died. From the data we can see that Latvia's population between 1925 and 1935 grew steadily by 95,000 in this decade, with the number of men and women growing at a similar rate. Inter-war Lithuania Lithuania's experience in the interwar period was slightly different to that of Latvia and Estonia. The end of the First World War led to a growing movement for independence from German, Russian or Polish influence, however these countries were reluctant to cede control to one another, and independence was finally achieved in 1922. A right wing dictatorship was established in 1926, which maintained political and civil control until the outbreak of the Second World War, however interference from other nations, particularly Germany, was ever-present in Lithuanian economic activity. From the graph we have only one set of figures, showing that the Lithuanian population was just over 2 million in 1929, with approximately 5 percent more women than men. World War II again devastated Lithuania's population, with almost 14.4 percent of the entire population falling during the conflict.

About this dataset

Context

The dataset tabulates the Baltic population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Baltic across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Baltic was 826, a 0.24% decrease year-by-year from 2022. Previously, in 2022, Baltic population was 828, a decline of 0.96% compared to a population of 836 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Baltic increased by 76. In this period, the peak population was 841 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Baltic is shown in this column.
• Year on Year Change: This column displays the change in Baltic population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltic Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Baltic population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Baltic. The dataset can be utilized to understand the population distribution of Baltic by age. For example, using this dataset, we can identify the largest age group in Baltic.

Key observations

The largest age group in Baltic, SD was for the group of age Under 5 years years with a population of 193 (12.76%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Baltic, SD was the 85 years and over years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Baltic is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Baltic total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltic Population by Age. You can refer the same here

Baltic Barometer 2014. Public opinion data: representative samples of the adult population in Estonia, Latvia and Lithuania, including the Russian-speaking and Polish minorities.

The dataset provides important information about the mood in the three Baltic countries almost 25 years after the restoration of their independence and 10 years after their accession as full members of the European Union. It covers attitudes towards the past, current events and to some extent hopes for the future.

Representative samples of populations in Estonia, Latvia and Lithuania. This is our follow-up survey (from 2014) in the three Baltic countries but without additional sampling of their respective Russian speaking minorities. Special focus is on the handling of the covid pandemic in the Baltic countries, but the survey also covers attitudes towards the EU, migration, democracy, and Russia against the backdrop of its aggression in Ukraine. Representativa urval av befolkningen i Estland, Lettland och Litauen. Detta är vår uppföljande undersökning (från 2014) i de tre baltiska länderna, men denna gång utan ytterligare urval från de rysktalande minoriteterna i respektive land. Särskilt fokus ligger på hanteringen av covid-pandemin i de baltiska länderna, men undersökningen omfattar även attityder till EU, migration, demokrati samt Ryssland mot bakgrund av landets aggression i Ukraina.

About this dataset

Context

The dataset tabulates the population of Baltic by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Baltic across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 55.14% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Baltic is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Baltic total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltic Population by Race & Ethnicity. You can refer the same here

In 1800, the population of Latvia was approximately 591,000, a number which would grow steadily throughout the 19th century as reforms in agrarian law and steady improvements in standards of living and production allowed for a significant expansion in population. However, the population of Latvia would peak at just under 2.5 million in 1909, before falling sharply in the First World War. As the battlefield between the German and Russian Empires, Latvia and the other Baltic states were the site of widespread combat, attacks on civilians, and scorched earth campaigns, devastating the country. Even many of those who did not lose their lives in the war were forced to evacuate under orders from the Russian Empire, leading hundreds of thousands to flea eastward. As a result, by the end of the First World War, the population of Latvia would fall to approximately 1.8 million, and would not recover to pre-war population levels until the 1980s.

Following the end of the First World War, Latvia's population would remain largely stagnant at this level, rising slightly before falling back down in the Second World War. However, population growth would increase rapidly in the post-war years, as rapid industrialization by the Soviet Union and sharp decreases in mortality as mass immunization and vaccination would allow for the population to return to pre-World War levels by the 1980s. Latvia's population would begin to decline rapidly with the dissolution of the Soviet Union, however, as significant unemployment and economic turmoil would lead large numbers of Latvians to migrate west to the European Union in search of work, particularly so following Latvia's inclusion into the Schengen Area in 2003. As a result, in 2020, Latvia is estimated to have a population of just under 1.9 million.

Latvia had the largest ratio of social media identities to the total population among the Baltic States, at over 80 percent as of January 2024. To compare, in Lithuania, social media user identities represented over 77 percent of the population.

Graph and download economic data for Population Ages 15 to 64 for Central Europe and the Baltics (SPPOP1564TOZSCEB) from 1960 to 2023 about Baltics, Central Europe, 15 to 64 years, Europe, and population.

The population share with internet access in Latvia was forecast to continuously increase between 2024 and 2029 by in total 8.7 percentage points. After the ninth consecutive increasing year, the internet penetration is estimated to reach 97.1 percent and therefore a new peak in 2029. Notably, the population share with internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via any means. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

About this dataset

Context

The dataset tabulates the data for the Baltic, SD population pyramid, which represents the Baltic population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Baltic, SD, is 51.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Baltic, SD, is 9.5.
• Total dependency ratio for Baltic, SD is 60.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Baltic, SD is 10.6.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Baltic population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Baltic for the selected age group is shown in the following column.
• Population (Female): The female population in the Baltic for the selected age group is shown in the following column.
• Total Population: The total population of the Baltic for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltic Population by Age. You can refer the same here

Population — Population (official population update) — Population by age group in Hohwacht (Baltic Sea) on 31.12. To the HTML offer of the time series Regional data for Schleswig-Holstein Statistical Office for Hamburg and Schleswig-Holstein

Representation of the porpoise distribution area in the German Baltic Sea (Coastal Sea and EEZ) of the Beltsee population in spring — summer (01.04-31.10) and divided into areas west and east of longitude 13.5° East (blue: Beltsee population; yellow/blue: Population of the central Baltic Sea) in autumn — winter (01.11-31.03).

Baltic grey seal censuses are carried out during the annual molting season in May-June. The main haul-out locations are surveyed two or three times during the census period and number of seals are counted from aerial images. Annual regional population size estimate is based on survey day with the maximum numbers of the seals observed. The gained result is, however, the minimum population size estimate, because proportion of the seals is not visible on land; even during the best census conditions. The number and distribution of the population are represented during the spring time molting season, but during the other time of the year, numbers and distribution in sea areas may be different from that. The size of Baltic grey seal population during the spring time molting season in Finnish waters are shown in this map with ICES grid-resolution (50 km x 50 km). The known molting islands are shown with red circles. The darker color of grid, the more seals there are. The value of the grid is an average on results of annuls survey dates of that grid. Field descriptions fid = unique id generated by geoserver id = unique id for the rectangle

Understanding the mechanisms of spatial population dynamics is crucial for the successful management of exploited species and ecosystems. However, the underlying mechanisms of spatial distribution are generally complex due to the concurrent forcing of both density-dependent species interactions and density-independent environmental factors. Despite the high economic value and central ecological importance of cod in the Baltic Sea, the drivers of its spatio-temporal population dynamics have not been analytically investigated so far. In this paper, we used an extensive trawl survey dataset in combination with environmental data to investigate the spatial dynamics of the distribution of the Eastern Baltic cod during the past three decades using Generalized Additive Models. The results showed that adult cod distribution was mainly affected by cod population size, and to a minor degree by small-scale hydrological factors and the extent of suitable reproductive areas. As population size decreases, the cod population concentrates to the southern part of the Baltic Sea, where the preferred more marine environment conditions are encountered. Using the fitted models, we predicted the Baltic cod distribution back to the 1970s and a temporal index of cod spatial occupation was developed. Our study will contribute to the management and conservation of this important resource and of the ecosystem where it occurs, by showing the forces shaping its spatial distribution and therefore the potential response of the population to future exploitation and environmental changes.

This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts. This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts. Innehåller data för BALTIS-analysen som genomfördes för "Building essential biodiversity variables (EBVs) of species distribution and abundance on a global scale" som ingår i: Kissling, W. D., et al. (2018), Bygga väsentliga biodiversitetsvariabler (EBV) av artdistribution och överflöd på global nivå. Biol Rev, 93: 600-625. doi: 10,1111 / brv.12359 Datasetet består av inmatnings- och utdatafiler, geografiska platser och R-skript. This data set contains the documentation of the BALTIC data set analysis as a part of the manuscript 'Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale' by Kissling, W. D., et al. (2018), Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biol Rev, 93: 600-625. doi:10.1111/brv.12359 The data set contains input and output files, geographic locations, and R scripts.

To study trends in the numbers of grey seals and their distribution on the Swedish Baltic Coast. Being an exclusive fish predator, the grey seal is highly exposed to contamination with residue levels of persistent chemicals in the marine environment. This leads to the development of a complex disease syndrome among the seals from the 1960s on, resulting in elevated mortality, as will as reduced fertility among the females. The overall population trend within the Baltic is the net result of fecundity and mortality in the population.

This dataset contains data on population by sex and age on the basis of the results of the Census Data of Latvia, which was carried out on 10 February 1925. Dataset "Latvian Population by Sex and Age in 1925 Census Data" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

In 1800, the population of the area of modern-day Lithuania was estimated to be just under 780,000. Lithuania’s rate of population growth would remain largely unchanged in the 19th century, as the Russian Empire would slowly but gradually develop its border regions. While large numbers of Lithuanians would emigrate west-ward (largely to the United States) between 1867 and 1868 after a famine in the country, growth would remain largely uninterrupted until the beginning of the First World War in 1912, which would see Lithuania, like much of the Baltic region, devastated as the battleground between the German and Russian Empires. As the conflict spread, those who were not made to evacuate by orders from the Russian government would face economic turmoil under German occupation, and as a result, Lithuania’s population would fall from just under 2.9 million in 1910, to under 2.3 million by 1920.

While Lithuania’s population would start to grow once more following the end of the First World War, this growth would be short-lived, as economic turmoil from the Great Depression, and later occupation and campaigns of mass extermination in the Second World War, most notably the extermination of 95 to 97 percent of the country’s Jewish population in the Holocaust, would cause Lithuania’s population growth to stagnate throughout the 1930s and 1940s. In the years following the end of the Second World War, Lithuania’s population would steadily climb, as industrialization by the Soviet Union would lead to improved economic growth and access to health, and campaigns of mass immunization and vaccination would lead to a sharp decline in child mortality. As a result, by the 1990s, Lithuania would have a population of over 3.7 million. However, Lithuania’s population would rapidly decline in the years following the dissolution of the Soviet Union in 1991, as economic crises and mass emigration from the country, paired with sharp declines in fertility, would result in a dramatic reduction in population. As a result, in 2020, Lithuania is estimated to have a population of just over 2.7 million.