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The current value of the Population in Germany is 84.4 M . The Population in Germany increased to 84.4 M on 1/1/2022, after it was 83.24 M on 1/1/2021. From 1/1/1950 to 1/1/2023, the average GDP in Germany was 69.44 M . The all-time high was reached on 1/1/2023 with 84.7 M , while the lowest value was recorded on 1/1/1950 with 50.96 M .
Population ·
3 years
5 years
10 years
25 Years
Max
Population | |
---|---|
1/1/1950 | 50.96 M |
1/1/1951 | 51.43 M |
1/1/1952 | 51.86 M |
1/1/1953 | 52.45 M |
1/1/1954 | 52.94 M |
1/1/1955 | 53.52 M |
1/1/1956 | 53.34 M |
1/1/1957 | 54.06 M |
1/1/1958 | 54.72 M |
1/1/1959 | 55.26 M |
1/1/1960 | 55.96 M |
1/1/1961 | 56.59 M |
1/1/1962 | 57.25 M |
1/1/1963 | 57.86 M |
1/1/1964 | 58.59 M |
1/1/1965 | 59.3 M |
1/1/1966 | 59.79 M |
1/1/1967 | 59.95 M |
1/1/1968 | 60.46 M |
1/1/1969 | 61.19 M |
1/1/1970 | 61 M |
1/1/1971 | 61.5 M |
1/1/1972 | 61.81 M |
1/1/1973 | 62.1 M |
1/1/1974 | 61.99 M |
1/1/1975 | 61.64 M |
1/1/1976 | 61.44 M |
1/1/1977 | 61.35 M |
1/1/1978 | 61.32 M |
1/1/1979 | 61.44 M |
1/1/1980 | 61.66 M |
1/1/1981 | 61.71 M |
1/1/1982 | 61.55 M |
1/1/1983 | 61.31 M |
1/1/1984 | 61.05 M |
1/1/1985 | 61.02 M |
1/1/1986 | 61.14 M |
1/1/1987 | 61.24 M |
1/1/1988 | 61.72 M |
1/1/1989 | 62.68 M |
1/1/1990 | 79.75 M |
1/1/1991 | 80.27 M |
1/1/1992 | 80.97 M |
1/1/1993 | 81.34 M |
1/1/1994 | 81.54 M |
1/1/1995 | 81.82 M |
1/1/1996 | 82.02 M |
1/1/1997 | 82.06 M |
1/1/1998 | 82.04 M |
1/1/1999 | 82.16 M |
1/1/2000 | 82.26 M |
1/1/2001 | 82.44 M |
1/1/2002 | 82.54 M |
1/1/2003 | 82.53 M |
1/1/2004 | 82.5 M |
1/1/2005 | 82.44 M |
1/1/2006 | 82.31 M |
1/1/2007 | 82.22 M |
1/1/2008 | 82 M |
1/1/2009 | 81.8 M |
1/1/2010 | 81.75 M |
1/1/2011 | 80.33 M |
1/1/2012 | 80.52 M |
1/1/2013 | 80.77 M |
1/1/2014 | 81.2 M |
1/1/2015 | 82.18 M |
1/1/2016 | 82.52 M |
1/1/2017 | 82.79 M |
1/1/2018 | 83.02 M |
1/1/2019 | 83.17 M |
1/1/2020 | 83.16 M |
1/1/2021 | 83.24 M |
1/1/2022 | 84.4 M |
Population History
Date | Value |
---|---|
1/1/2022 | 84.4 M |
1/1/2021 | 83.24 M |
1/1/2020 | 83.16 M |
1/1/2019 | 83.17 M |
1/1/2018 | 83.02 M |
1/1/2017 | 82.79 M |
1/1/2016 | 82.52 M |
1/1/2015 | 82.18 M |
1/1/2014 | 81.2 M |
1/1/2013 | 80.77 M |
Similar Macro Indicators to Population
Name | Current | Previous | Frequency |
---|---|---|---|
🇩🇪 Change in Unemployment | 7,000 | 27,000 | Monthly |
🇩🇪 Employed persons | 45.878 M | 45.881 M | Monthly |
🇩🇪 Employment Change | -0.1 % | 0.1 % | Quarter |
🇩🇪 Employment rate | 77.4 % | 77.4 % | Quarter |
🇩🇪 Full-time employment | 29.307 M | 29.224 M | Quarter |
🇩🇪 Harmonized Unemployment Rate | 3.5 % | 3.5 % | Monthly |
🇩🇪 Job Opportunities | 696,010 | 698,870 | Monthly |
🇩🇪 Job Vacancy Rate | 3.1 % | 3.5 % | Quarter |
🇩🇪 Labor costs | 116.91 points | 116.05 points | Quarter |
🇩🇪 Labor force participation rate | 79.9 % | 80 % | Quarter |
🇩🇪 Long-term unemployment rate | 0.9 % | 0.9 % | Quarter |
🇩🇪 Minimum Wages | 12.41 EUR/Hour | 12 EUR/Hour | Annually |
🇩🇪 Part-time work | 12.102 M | 12.152 M | Quarter |
🇩🇪 Productivity | 92.6 points | 94.2 points | Monthly |
🇩🇪 Retirement Age Men | 66 Years | 65.92 Years | Annually |
🇩🇪 Retirement Age Women | 66 Years | 65.92 Years | Annually |
🇩🇪 Unemployed Persons | 2.86 M | 2.856 M | Monthly |
🇩🇪 Unemployment Rate | 6 % | 6 % | Monthly |
🇩🇪 Wage Growth | 2.9 % | 3.1 % | Quarter |
🇩🇪 Wages | 4,100 EUR/Month | 3,975 EUR/Month | Annually |
🇩🇪 Wages in Manufacturing | 100.44 points | 115.3 points | Monthly |
🇩🇪 Youth Unemployment Rate | 6.5 % | 6.5 % | Monthly |
The population of Germany constitutes 1.18 percent of the global population, indicating that approximately one in every 85 individuals worldwide is a resident of Germany.
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Population?
At Eulerpool, the "Population" category within our comprehensive macroeconomic data repository serves as an essential component for understanding the dynamics that shape economic landscapes globally. As professionals in the field of macroeconomic analysis, we recognize that population trends are integral to deciphering the complex tapestry of economic development, social progress, and future projections. Population data, often regarded as the bedrock of macroeconomic analysis, encompasses various metrics including population size, growth rates, age distribution, geographic distribution, and demographic transitions. At Eulerpool, we meticulously curate and present this data, ensuring that users can access accurate, timely, and detailed information necessary for in-depth economic analysis. The size and growth rate of a population are fundamental metrics that impact a multitude of economic variables. Population growth influences labor markets, consumer demand, and overall economic productivity. A growing population may signify an expanding labor force, which can drive economic growth through increased production and consumption. Conversely, stagnant or declining population growth poses risks such as labor shortages, reduced economic dynamism, and potential fiscal imbalances due to an aging demographic. At Eulerpool, we provide detailed insights into these population trends, helping analysts and policymakers anticipate economic challenges and opportunities. Age distribution within a population is another critical factor that impacts economic outcomes. A youthful population might suggest a burgeoning labor force and potential for economic growth, but it also necessitates adequate investment in education, healthcare, and infrastructure to harness this potential. On the other hand, an aging population can strain existing social safety nets, increase healthcare costs, and necessitate policy adjustments such as pension reforms and immigration policies. Our data on age demographics enables users to understand these dynamics and their implications for long-term economic planning. Geographic distribution of the population is an often-overlooked yet vital aspect of macroeconomic analysis. Urbanization trends, rural-urban migration, and regional population densities all influence economic activities and resource allocation. Urban areas typically serve as economic hubs with higher productivity and access to resources, whereas rural areas may face challenges related to infrastructure and economic opportunity. Analyzing geographic population data aids in understanding regional disparities and informs decisions on infrastructure development, investment, and policy interventions to foster balanced regional growth. Demographic transitions—shifts in birth and death rates culminating in changes in population growth—are central to understanding a country's stage of economic development. Countries undergo demographic transitions at different paces, with varying economic implications. For instance, early stages of demographic transition, characterized by high birth and death rates, might signal developing economies with significant investments needed in healthcare and education. In contrast, advanced stages with low birth and death rates are typically seen in developed economies facing challenges related to aging populations. Eulerpool's detailed demographic data assists users in recognizing these transitions and their economic ramifications. Population data is intrinsically linked to several macroeconomic indicators such as GDP growth, economic stability, and fiscal policy. For example, a growing and well-educated population can boost GDP through enhanced productivity, innovation, and consumer spending. Simultaneously, population trends influence fiscal policy decisions, including tax revenues, government expenditures, and social welfare programs. An understanding of population data enriches projections and models related to economic performance and policy effectiveness. In addition to economic indicators, population data intersects with social factors impacting human capital development, quality of life, and social cohesion. Education and healthcare access, for instance, are directly influenced by population dynamics. A considerable young population necessitates investments in education systems to ensure the development of skilled human capital essential for future economic growth. Likewise, an aging population demands robust healthcare systems and social support mechanisms. At Eulerpool, we provide comprehensive data on these aspects, offering a holistic view of how population trends shape societal structures and economic well-being. Migration patterns—both internal and international—add another layer of complexity to population data analysis. Migration influences labor markets, economic integration, and cultural dynamics. Countries experiencing high levels of immigration often face challenges and opportunities regarding labor market integration, social services provision, and fostering inclusive economic growth. Conversely, emigration trends can impact the labor supply and economic potential of regions experiencing high outflows of talent and workforce. Detailed migration data provided by Eulerpool aids stakeholders in devising informed policies that address these multifaceted challenges. Moreover, population data is crucial for private sector decision-making, particularly in market research, consumer behavior analysis, and strategic planning. Companies rely on population statistics to identify potential markets, tailor products and services to demographic segments, and forecast future demand. Understanding population dynamics assists businesses in making informed investment decisions, optimizing supply chains, and enhancing competitiveness in the marketplace. Incorporating population data in economic forecasting and planning enhances the accuracy and reliability of predictions. By analyzing historical and current population trends, forecasters can better anticipate future demographic shifts and their economic impacts. This data-driven approach supports strategic planning in both the public and private sectors, ensuring preparedness for demographic changes and maximization of economic opportunities. At Eulerpool, our commitment to providing high-quality, accessible, and detailed population data underscores our role as a trusted resource for macroeconomic analysis. We ensure that our population category is continuously updated with the latest data, sourced from credible national and international organizations, and presented in a user-friendly manner. Through our platform, we empower economists, policymakers, researchers, and business leaders with the insights needed to understand and respond to the evolving population dynamics shaping the global economy. In conclusion, the population category within Eulerpool's macroeconomic data platform is an indispensable resource for comprehending the fundamental demographic trends influencing economic development and societal progress. By offering detailed, accurate, and timely population data, we enable our users to make informed decisions, anticipate economic shifts, and develop strategies that align with demographic realities. As the global population continues to evolve, Eulerpool remains dedicated to providing the insights necessary for navigating the complexities of a rapidly changing world.