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The current value of the Employed Persons in Germany is 45.9 M . The Employed Persons in Germany decreased to 45.9 M on 8/1/2024, after it was 45.924 M on 7/1/2024. From 1/1/1992 to 9/1/2024, the average GDP in Germany was 41.19 M . The all-time high was reached on 5/1/2024 with 45.95 M , while the lowest value was recorded on 11/1/1993 with 37.72 M .
Employed Persons ·
3 years
5 years
10 years
25 Years
Max
Employed persons | |
---|---|
1/1/1992 | 38.64 M |
2/1/1992 | 38.6 M |
3/1/1992 | 38.56 M |
4/1/1992 | 38.53 M |
5/1/1992 | 38.5 M |
6/1/1992 | 38.45 M |
7/1/1992 | 38.38 M |
8/1/1992 | 38.31 M |
9/1/1992 | 38.24 M |
10/1/1992 | 38.18 M |
11/1/1992 | 38.13 M |
12/1/1992 | 38.09 M |
1/1/1993 | 38.08 M |
2/1/1993 | 38.05 M |
3/1/1993 | 38 M |
4/1/1993 | 37.93 M |
5/1/1993 | 37.86 M |
6/1/1993 | 37.84 M |
7/1/1993 | 37.81 M |
8/1/1993 | 37.79 M |
9/1/1993 | 37.78 M |
10/1/1993 | 37.74 M |
11/1/1993 | 37.72 M |
12/1/1993 | 37.74 M |
1/1/1994 | 37.81 M |
2/1/1994 | 37.85 M |
3/1/1994 | 37.82 M |
4/1/1994 | 37.78 M |
5/1/1994 | 37.8 M |
6/1/1994 | 37.82 M |
7/1/1994 | 37.82 M |
8/1/1994 | 37.87 M |
9/1/1994 | 37.9 M |
10/1/1994 | 37.92 M |
11/1/1994 | 37.94 M |
12/1/1994 | 37.96 M |
1/1/1995 | 37.92 M |
2/1/1995 | 37.93 M |
3/1/1995 | 37.94 M |
4/1/1995 | 37.99 M |
5/1/1995 | 37.93 M |
6/1/1995 | 37.95 M |
7/1/1995 | 37.96 M |
8/1/1995 | 37.96 M |
9/1/1995 | 37.96 M |
10/1/1995 | 38.01 M |
11/1/1995 | 38 M |
12/1/1995 | 38.03 M |
1/1/1996 | 38.01 M |
2/1/1996 | 37.98 M |
3/1/1996 | 37.92 M |
4/1/1996 | 38 M |
5/1/1996 | 38.06 M |
6/1/1996 | 38.02 M |
7/1/1996 | 38.01 M |
8/1/1996 | 37.98 M |
9/1/1996 | 37.95 M |
10/1/1996 | 37.93 M |
11/1/1996 | 37.94 M |
12/1/1996 | 37.93 M |
1/1/1997 | 37.84 M |
2/1/1997 | 37.88 M |
3/1/1997 | 37.91 M |
4/1/1997 | 37.93 M |
5/1/1997 | 37.94 M |
6/1/1997 | 37.95 M |
7/1/1997 | 37.97 M |
8/1/1997 | 38.02 M |
9/1/1997 | 38 M |
10/1/1997 | 38.01 M |
11/1/1997 | 38.01 M |
12/1/1997 | 37.97 M |
1/1/1998 | 38.02 M |
2/1/1998 | 38.08 M |
3/1/1998 | 38.16 M |
4/1/1998 | 38.23 M |
5/1/1998 | 38.29 M |
6/1/1998 | 38.37 M |
7/1/1998 | 38.44 M |
8/1/1998 | 38.54 M |
9/1/1998 | 38.61 M |
10/1/1998 | 38.68 M |
11/1/1998 | 38.69 M |
12/1/1998 | 38.71 M |
1/1/1999 | 38.75 M |
2/1/1999 | 38.77 M |
3/1/1999 | 38.79 M |
4/1/1999 | 38.65 M |
5/1/1999 | 38.77 M |
6/1/1999 | 38.98 M |
7/1/1999 | 39.05 M |
8/1/1999 | 39.17 M |
9/1/1999 | 39.19 M |
10/1/1999 | 39.24 M |
11/1/1999 | 39.32 M |
12/1/1999 | 39.49 M |
1/1/2000 | 39.65 M |
2/1/2000 | 39.71 M |
3/1/2000 | 39.78 M |
4/1/2000 | 39.81 M |
5/1/2000 | 39.85 M |
6/1/2000 | 39.89 M |
7/1/2000 | 39.9 M |
8/1/2000 | 39.91 M |
9/1/2000 | 39.89 M |
10/1/2000 | 39.93 M |
11/1/2000 | 39.9 M |
12/1/2000 | 39.92 M |
1/1/2001 | 39.77 M |
2/1/2001 | 39.76 M |
3/1/2001 | 39.75 M |
4/1/2001 | 39.77 M |
5/1/2001 | 39.77 M |
6/1/2001 | 39.71 M |
7/1/2001 | 39.67 M |
8/1/2001 | 39.69 M |
9/1/2001 | 39.67 M |
10/1/2001 | 39.66 M |
11/1/2001 | 39.7 M |
12/1/2001 | 39.71 M |
1/1/2002 | 39.73 M |
2/1/2002 | 39.71 M |
3/1/2002 | 39.68 M |
4/1/2002 | 39.67 M |
5/1/2002 | 39.61 M |
6/1/2002 | 39.53 M |
7/1/2002 | 39.53 M |
8/1/2002 | 39.47 M |
9/1/2002 | 39.44 M |
10/1/2002 | 39.39 M |
11/1/2002 | 39.34 M |
12/1/2002 | 39.33 M |
1/1/2003 | 39.26 M |
2/1/2003 | 39.25 M |
3/1/2003 | 39.17 M |
4/1/2003 | 39.06 M |
5/1/2003 | 39 M |
6/1/2003 | 39.07 M |
7/1/2003 | 39.13 M |
8/1/2003 | 39.06 M |
9/1/2003 | 39.05 M |
10/1/2003 | 39.08 M |
11/1/2003 | 39.08 M |
12/1/2003 | 39.11 M |
1/1/2004 | 39.18 M |
2/1/2004 | 39.19 M |
3/1/2004 | 39.24 M |
4/1/2004 | 39.3 M |
5/1/2004 | 39.25 M |
6/1/2004 | 39.28 M |
7/1/2004 | 39.25 M |
8/1/2004 | 39.26 M |
9/1/2004 | 39.27 M |
10/1/2004 | 39.25 M |
11/1/2004 | 39.25 M |
12/1/2004 | 39.22 M |
1/1/2005 | 39.16 M |
2/1/2005 | 39.15 M |
3/1/2005 | 39.11 M |
4/1/2005 | 39.11 M |
5/1/2005 | 39.11 M |
6/1/2005 | 39.15 M |
7/1/2005 | 39.13 M |
8/1/2005 | 39.22 M |
9/1/2005 | 39.29 M |
10/1/2005 | 39.31 M |
11/1/2005 | 39.36 M |
12/1/2005 | 39.37 M |
1/1/2006 | 39.18 M |
2/1/2006 | 39.19 M |
3/1/2006 | 39.22 M |
4/1/2006 | 39.3 M |
5/1/2006 | 39.44 M |
6/1/2006 | 39.55 M |
7/1/2006 | 39.62 M |
8/1/2006 | 39.66 M |
9/1/2006 | 39.68 M |
10/1/2006 | 39.7 M |
11/1/2006 | 39.8 M |
12/1/2006 | 39.89 M |
1/1/2007 | 39.94 M |
2/1/2007 | 39.99 M |
3/1/2007 | 40.04 M |
4/1/2007 | 40.12 M |
5/1/2007 | 40.16 M |
6/1/2007 | 40.18 M |
7/1/2007 | 40.23 M |
8/1/2007 | 40.27 M |
9/1/2007 | 40.29 M |
10/1/2007 | 40.38 M |
11/1/2007 | 40.43 M |
12/1/2007 | 40.46 M |
1/1/2008 | 40.61 M |
2/1/2008 | 40.66 M |
3/1/2008 | 40.7 M |
4/1/2008 | 40.72 M |
5/1/2008 | 40.73 M |
6/1/2008 | 40.76 M |
7/1/2008 | 40.84 M |
8/1/2008 | 40.83 M |
9/1/2008 | 40.88 M |
10/1/2008 | 40.94 M |
11/1/2008 | 40.95 M |
12/1/2008 | 40.95 M |
1/1/2009 | 40.96 M |
2/1/2009 | 40.98 M |
3/1/2009 | 40.95 M |
4/1/2009 | 40.92 M |
5/1/2009 | 40.85 M |
6/1/2009 | 40.8 M |
7/1/2009 | 40.78 M |
8/1/2009 | 40.8 M |
9/1/2009 | 40.82 M |
10/1/2009 | 40.81 M |
11/1/2009 | 40.8 M |
12/1/2009 | 40.84 M |
1/1/2010 | 40.8 M |
2/1/2010 | 40.8 M |
3/1/2010 | 40.85 M |
4/1/2010 | 40.92 M |
5/1/2010 | 40.96 M |
6/1/2010 | 41.01 M |
7/1/2010 | 41.02 M |
8/1/2010 | 41.07 M |
9/1/2010 | 41.12 M |
10/1/2010 | 41.16 M |
11/1/2010 | 41.2 M |
12/1/2010 | 41.23 M |
1/1/2011 | 41.26 M |
2/1/2011 | 41.32 M |
3/1/2011 | 41.36 M |
4/1/2011 | 41.4 M |
5/1/2011 | 41.44 M |
6/1/2011 | 41.5 M |
7/1/2011 | 41.51 M |
8/1/2011 | 41.57 M |
9/1/2011 | 41.61 M |
10/1/2011 | 41.63 M |
11/1/2011 | 41.68 M |
12/1/2011 | 41.73 M |
1/1/2012 | 41.8 M |
2/1/2012 | 41.79 M |
3/1/2012 | 41.84 M |
4/1/2012 | 41.87 M |
5/1/2012 | 41.92 M |
6/1/2012 | 41.94 M |
7/1/2012 | 41.98 M |
8/1/2012 | 42.03 M |
9/1/2012 | 42.03 M |
10/1/2012 | 42.07 M |
11/1/2012 | 42.14 M |
12/1/2012 | 42.17 M |
1/1/2013 | 42.16 M |
2/1/2013 | 42.2 M |
3/1/2013 | 42.19 M |
4/1/2013 | 42.19 M |
5/1/2013 | 42.24 M |
6/1/2013 | 42.25 M |
7/1/2013 | 42.31 M |
8/1/2013 | 42.32 M |
9/1/2013 | 42.35 M |
10/1/2013 | 42.4 M |
11/1/2013 | 42.42 M |
12/1/2013 | 42.43 M |
1/1/2014 | 42.52 M |
2/1/2014 | 42.55 M |
3/1/2014 | 42.57 M |
4/1/2014 | 42.62 M |
5/1/2014 | 42.63 M |
6/1/2014 | 42.65 M |
7/1/2014 | 42.69 M |
8/1/2014 | 42.68 M |
9/1/2014 | 42.71 M |
10/1/2014 | 42.75 M |
11/1/2014 | 42.72 M |
12/1/2014 | 42.74 M |
1/1/2015 | 42.78 M |
2/1/2015 | 42.81 M |
3/1/2015 | 42.89 M |
4/1/2015 | 42.94 M |
5/1/2015 | 42.97 M |
6/1/2015 | 43.02 M |
7/1/2015 | 43.08 M |
8/1/2015 | 43.11 M |
9/1/2015 | 43.15 M |
10/1/2015 | 43.19 M |
11/1/2015 | 43.24 M |
12/1/2015 | 43.29 M |
1/1/2016 | 43.28 M |
2/1/2016 | 43.35 M |
3/1/2016 | 43.41 M |
4/1/2016 | 43.44 M |
5/1/2016 | 43.49 M |
6/1/2016 | 43.55 M |
7/1/2016 | 43.55 M |
8/1/2016 | 43.62 M |
9/1/2016 | 43.69 M |
10/1/2016 | 43.73 M |
11/1/2016 | 43.78 M |
12/1/2016 | 43.84 M |
1/1/2017 | 43.85 M |
2/1/2017 | 43.9 M |
3/1/2017 | 43.97 M |
4/1/2017 | 44.01 M |
5/1/2017 | 44.05 M |
6/1/2017 | 44.12 M |
7/1/2017 | 44.17 M |
8/1/2017 | 44.21 M |
9/1/2017 | 44.26 M |
10/1/2017 | 44.29 M |
11/1/2017 | 44.35 M |
12/1/2017 | 44.41 M |
1/1/2018 | 44.5 M |
2/1/2018 | 44.53 M |
3/1/2018 | 44.58 M |
4/1/2018 | 44.63 M |
5/1/2018 | 44.69 M |
6/1/2018 | 44.71 M |
7/1/2018 | 44.76 M |
8/1/2018 | 44.81 M |
9/1/2018 | 44.81 M |
10/1/2018 | 44.85 M |
11/1/2018 | 44.92 M |
12/1/2018 | 44.94 M |
1/1/2019 | 44.97 M |
2/1/2019 | 44.98 M |
3/1/2019 | 45.03 M |
4/1/2019 | 45.08 M |
5/1/2019 | 45.11 M |
6/1/2019 | 45.12 M |
7/1/2019 | 45.15 M |
8/1/2019 | 45.13 M |
9/1/2019 | 45.14 M |
10/1/2019 | 45.19 M |
11/1/2019 | 45.22 M |
12/1/2019 | 45.23 M |
1/1/2020 | 45.3 M |
2/1/2020 | 45.3 M |
3/1/2020 | 45.18 M |
4/1/2020 | 44.82 M |
5/1/2020 | 44.6 M |
6/1/2020 | 44.57 M |
7/1/2020 | 44.6 M |
8/1/2020 | 44.63 M |
9/1/2020 | 44.67 M |
10/1/2020 | 44.7 M |
11/1/2020 | 44.67 M |
12/1/2020 | 44.68 M |
1/1/2021 | 44.64 M |
2/1/2021 | 44.62 M |
3/1/2021 | 44.68 M |
4/1/2021 | 44.7 M |
5/1/2021 | 44.72 M |
6/1/2021 | 44.84 M |
7/1/2021 | 44.91 M |
8/1/2021 | 44.98 M |
9/1/2021 | 45.02 M |
10/1/2021 | 45.06 M |
11/1/2021 | 45.12 M |
12/1/2021 | 45.18 M |
1/1/2022 | 45.26 M |
2/1/2022 | 45.31 M |
3/1/2022 | 45.36 M |
4/1/2022 | 45.4 M |
5/1/2022 | 45.44 M |
6/1/2022 | 45.47 M |
7/1/2022 | 45.45 M |
8/1/2022 | 45.51 M |
9/1/2022 | 45.56 M |
10/1/2022 | 45.59 M |
11/1/2022 | 45.61 M |
12/1/2022 | 45.64 M |
1/1/2023 | 45.68 M |
2/1/2023 | 45.73 M |
3/1/2023 | 45.76 M |
4/1/2023 | 45.78 M |
5/1/2023 | 45.8 M |
6/1/2023 | 45.81 M |
7/1/2023 | 45.83 M |
8/1/2023 | 45.82 M |
9/1/2023 | 45.82 M |
10/1/2023 | 45.83 M |
11/1/2023 | 45.86 M |
12/1/2023 | 45.89 M |
1/1/2024 | 45.9 M |
2/1/2024 | 45.91 M |
3/1/2024 | 45.93 M |
4/1/2024 | 45.95 M |
5/1/2024 | 45.95 M |
6/1/2024 | 45.93 M |
7/1/2024 | 45.92 M |
8/1/2024 | 45.9 M |
Employed Persons History
Date | Value |
---|---|
8/1/2024 | 45.9 M |
7/1/2024 | 45.924 M |
6/1/2024 | 45.931 M |
5/1/2024 | 45.954 M |
4/1/2024 | 45.946 M |
3/1/2024 | 45.93 M |
2/1/2024 | 45.913 M |
1/1/2024 | 45.896 M |
12/1/2023 | 45.889 M |
11/1/2023 | 45.864 M |
Similar Macro Indicators to Employed Persons
Name | Current | Previous | Frequency |
---|---|---|---|
🇩🇪 Change in Unemployment | 27,000 | 17,000 | Monthly |
🇩🇪 Employment Change | -0.1 % | 0.1 % | Quarter |
🇩🇪 Employment rate | 77.4 % | 77.1 % | Quarter |
🇩🇪 Full-time employment | 29.224 M | 29.435 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 | 115.54 points | 115.45 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 | 12.152 M | 12.074 M | Quarter |
🇩🇪 Population | 84.7 M | 84.4 M | Annually |
🇩🇪 Productivity | 94.5 points | 93.1 points | Monthly |
🇩🇪 Retirement Age Men | 66 Years | 65.92 Years | Annually |
🇩🇪 Retirement Age Women | 66 Years | 65.92 Years | Annually |
🇩🇪 Unemployed Persons | 2.856 M | 2.823 M | Monthly |
🇩🇪 Unemployment Rate | 6 % | 6 % | Monthly |
🇩🇪 Wage Growth | 3.1 % | 3.8 % | Quarter |
🇩🇪 Wages | 4,100 EUR/Month | 3,975 EUR/Month | Annually |
🇩🇪 Wages in Manufacturing | 100.44 points | 115.3 points | Monthly |
🇩🇪 Youth Unemployment Rate | 6.8 % | 6.9 % | Monthly |
In Germany, employed individuals are those who meet the minimum age requirement and work for a business during a specified period.
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 Employed Persons?
Understanding the macroeconomic category 'Employed Persons' is crucial for analyzing the economic health and labor market dynamics of any nation. At Eulerpool, we provide comprehensive and accurate macroeconomic data, and the 'Employed Persons' category is one of the critical metrics we meticulously track and present. This description aims to offer a profound examination of what the 'Employed Persons' metric entails, its significance, how it is measured, and its broader implications on the economy. In macroeconomics, the term 'Employed Persons' refers to individuals who are engaged in some form of work for compensation, whether as salaried employees, self-employed entrepreneurs, or unpaid family workers. The data on employed persons typically include individuals aged 15 and above, who work at least one hour during the reference week of the survey. This metric is an essential component of the broader labor force statistics, which also include unemployed persons, collectively forming the foundation of labor market analysis. To understand the significance of the 'Employed Persons' metric, it is important to consider its role as a barometer for economic performance. Employment levels directly influence overall economic output, consumer spending, and by extension, Gross Domestic Product (GDP). Higher employment rates generally indicate a robust economy with more people earning incomes, which translates into increased consumption, higher demand for goods and services, and improved living standards. Moreover, the 'Employed Persons' metric holds substantial weight in the formulation of public policy. Governments and central banks rely heavily on labor market data to devise strategies that promote economic stability and growth. Employment statistics are pivotal in setting interest rates, crafting fiscal policies, and implementing job creation programs. For instance, a significant drop in employment figures may prompt the government to introduce stimulus packages or tax incentives to spur job creation and economic activity. The measurement of employed persons is a complex process that involves comprehensive surveys and statistical techniques. In most countries, national statistical agencies conduct labor force surveys, usually on a monthly or quarterly basis. These surveys gather data on various aspects of employment, such as the number of hours worked, types of industries, occupational classifications, and demographic characteristics of employed individuals. This information is then analyzed and published to inform policymakers, businesses, researchers, and the general public. It is also crucial to distinguish between several related concepts while discussing employed persons. Unlike the employment rate, which is expressed as a percentage of the working-age population, the 'Employed Persons' metric denotes the absolute number of individuals employed. Understanding this distinction helps in accurately interpreting labor market conditions and making informed economic decisions. In addition to national statistical agencies, international organizations like the International Labour Organization (ILO) and the Organisation for Economic Co-operation and Development (OECD) also play a significant role in standardizing definitions and methodologies for measuring employment statistics. These entities ensure that employment data is comparable across different countries, enhancing the overall reliability and validity of macroeconomic analysis. Various factors influence the number of employed persons in an economy. Economic cycles, technological advancements, globalization, demographic shifts, and educational attainment levels all play a role in shaping employment trends. During periods of economic expansion, businesses experience higher demand for their products and services, leading to increased hiring and a rise in employment levels. Conversely, during economic downturns, companies may downsize or implement hiring freezes, resulting in lower employment. Technological advancements have a dual impact on employment. While automation and digital technologies can lead to job displacement in certain sectors, they also create new opportunities in emerging fields such as information technology, renewable energy, and digital marketing. Therefore, continuous skill development and adaptability are vital for maintaining employment levels in the face of technological change. Globalization has also altered employment patterns by shifting production processes and service delivery across borders. While some jobs may be outsourced to countries with lower labor costs, globalization also opens up new markets and opportunities for businesses, ultimately contributing to job creation. Policymakers must strike a balance between leveraging the benefits of globalization and protecting domestic employment. Demographic changes, such as aging populations and shifting immigration patterns, pose additional challenges and opportunities for employment. Countries with aging workforces may face potential labor shortages, prompting initiatives to attract foreign talent or encourage higher labor force participation among underrepresented groups, such as women and minorities. On the other hand, countries with younger populations may experience higher levels of labor market entry, necessitating policies that support job creation and youth employment. Education and skills development are critical determinants of employment. Individuals equipped with relevant skills and qualifications are more likely to secure employment and experience career advancement. Investments in education, vocational training, and lifelong learning programs are thus essential for fostering a skilled and adaptable workforce. The implications of employment levels extend beyond economic indicators. High employment rates are associated with social stability, reduced poverty levels, and improved mental and physical well-being for individuals and communities. Families with stable employment experience better access to healthcare, education, and housing, contributing to overall societal progress. At Eulerpool, we recognize the multifaceted nature of employment data and strive to provide our users with the most accurate, up-to-date, and comprehensive information. Our platform offers a wealth of resources, including detailed employment statistics, trend analyses, and expert insights, enabling stakeholders to make informed decisions and navigate the complexities of the labor market. In conclusion, the 'Employed Persons' category is a cornerstone of macroeconomic analysis, reflecting the economic health and labor market dynamics of a nation. Understanding its significance, measurement methodologies, and influencing factors is crucial for policymakers, businesses, and researchers alike. At Eulerpool, we are committed to providing reliable and accessible macroeconomic data, empowering our users with the knowledge they need to drive economic growth and prosperity.