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The current value of the Part Time Employment in Japan is 7.749 M . The Part Time Employment in Japan increased to 7.749 M on 7/1/2024, after it was 7.674 M on 6/1/2024. From 1/1/1990 to 8/1/2024, the average GDP in Japan was 5.25 M . The all-time high was reached on 7/1/2024 with 7.75 M , while the lowest value was recorded on 2/1/1990 with 1.99 M .
Part Time Employment ·
3 years
5 years
10 years
25 Years
Max
Part-time work | |
---|---|
1/1/1990 | 2.11 M |
2/1/1990 | 1.99 M |
3/1/1990 | 2.12 M |
4/1/1990 | 2.09 M |
5/1/1990 | 2.06 M |
6/1/1990 | 2.09 M |
7/1/1990 | 2.11 M |
8/1/1990 | 2.1 M |
9/1/1990 | 2.11 M |
10/1/1990 | 2.1 M |
11/1/1990 | 2.15 M |
12/1/1990 | 2.19 M |
1/1/1991 | 2.18 M |
2/1/1991 | 2.23 M |
3/1/1991 | 2.25 M |
4/1/1991 | 2.26 M |
5/1/1991 | 2.29 M |
6/1/1991 | 2.31 M |
7/1/1991 | 2.33 M |
8/1/1991 | 2.35 M |
9/1/1991 | 2.36 M |
10/1/1991 | 2.36 M |
11/1/1991 | 2.38 M |
12/1/1991 | 2.45 M |
1/1/1992 | 2.39 M |
2/1/1992 | 2.41 M |
3/1/1992 | 2.41 M |
4/1/1992 | 2.41 M |
5/1/1992 | 2.42 M |
6/1/1992 | 2.42 M |
7/1/1992 | 2.41 M |
8/1/1992 | 2.43 M |
9/1/1992 | 2.42 M |
10/1/1992 | 2.43 M |
11/1/1992 | 2.4 M |
12/1/1992 | 2.53 M |
1/1/1993 | 2.69 M |
2/1/1993 | 2.68 M |
3/1/1993 | 2.69 M |
4/1/1993 | 2.68 M |
5/1/1993 | 2.7 M |
6/1/1993 | 2.7 M |
7/1/1993 | 2.73 M |
8/1/1993 | 2.74 M |
9/1/1993 | 2.73 M |
10/1/1993 | 2.75 M |
11/1/1993 | 2.75 M |
12/1/1993 | 2.8 M |
1/1/1994 | 2.75 M |
2/1/1994 | 2.73 M |
3/1/1994 | 2.72 M |
4/1/1994 | 2.69 M |
5/1/1994 | 2.71 M |
6/1/1994 | 2.72 M |
7/1/1994 | 2.7 M |
8/1/1994 | 2.73 M |
9/1/1994 | 2.74 M |
10/1/1994 | 2.74 M |
11/1/1994 | 2.73 M |
12/1/1994 | 2.76 M |
1/1/1995 | 2.73 M |
2/1/1995 | 2.68 M |
3/1/1995 | 2.66 M |
4/1/1995 | 2.68 M |
5/1/1995 | 2.67 M |
6/1/1995 | 2.69 M |
7/1/1995 | 2.71 M |
8/1/1995 | 2.72 M |
9/1/1995 | 2.71 M |
10/1/1995 | 2.76 M |
11/1/1995 | 2.74 M |
12/1/1995 | 2.76 M |
1/1/1996 | 2.71 M |
2/1/1996 | 2.72 M |
3/1/1996 | 2.66 M |
4/1/1996 | 2.68 M |
5/1/1996 | 2.7 M |
6/1/1996 | 2.71 M |
7/1/1996 | 2.74 M |
8/1/1996 | 2.7 M |
9/1/1996 | 2.74 M |
10/1/1996 | 2.76 M |
11/1/1996 | 2.77 M |
12/1/1996 | 2.82 M |
1/1/1997 | 2.84 M |
2/1/1997 | 2.76 M |
3/1/1997 | 2.77 M |
4/1/1997 | 2.8 M |
5/1/1997 | 2.79 M |
6/1/1997 | 2.8 M |
7/1/1997 | 2.82 M |
8/1/1997 | 2.85 M |
9/1/1997 | 2.85 M |
10/1/1997 | 2.95 M |
11/1/1997 | 2.97 M |
12/1/1997 | 3 M |
1/1/1998 | 3 M |
2/1/1998 | 3 M |
3/1/1998 | 2.95 M |
4/1/1998 | 2.98 M |
5/1/1998 | 2.95 M |
6/1/1998 | 2.99 M |
7/1/1998 | 3.01 M |
8/1/1998 | 3 M |
9/1/1998 | 3.02 M |
10/1/1998 | 3.01 M |
11/1/1998 | 3.03 M |
12/1/1998 | 3.05 M |
1/1/1999 | 4.31 M |
2/1/1999 | 4.29 M |
3/1/1999 | 4.27 M |
4/1/1999 | 4.26 M |
5/1/1999 | 4.3 M |
6/1/1999 | 4.28 M |
7/1/1999 | 4.3 M |
8/1/1999 | 4.31 M |
9/1/1999 | 4.29 M |
10/1/1999 | 4.29 M |
11/1/1999 | 4.35 M |
12/1/1999 | 4.4 M |
1/1/2000 | 4.31 M |
2/1/2000 | 4.3 M |
3/1/2000 | 4.25 M |
4/1/2000 | 4.3 M |
5/1/2000 | 4.34 M |
6/1/2000 | 4.41 M |
7/1/2000 | 4.41 M |
8/1/2000 | 4.42 M |
9/1/2000 | 4.42 M |
10/1/2000 | 4.39 M |
11/1/2000 | 4.41 M |
12/1/2000 | 4.47 M |
1/1/2001 | 4.43 M |
2/1/2001 | 4.38 M |
3/1/2001 | 4.3 M |
4/1/2001 | 4.3 M |
5/1/2001 | 4.36 M |
6/1/2001 | 4.36 M |
7/1/2001 | 4.35 M |
8/1/2001 | 4.36 M |
9/1/2001 | 4.34 M |
10/1/2001 | 4.32 M |
11/1/2001 | 4.38 M |
12/1/2001 | 4.48 M |
1/1/2002 | 4.71 M |
2/1/2002 | 4.67 M |
3/1/2002 | 4.59 M |
4/1/2002 | 4.66 M |
5/1/2002 | 4.68 M |
6/1/2002 | 4.69 M |
7/1/2002 | 4.72 M |
8/1/2002 | 4.71 M |
9/1/2002 | 4.74 M |
10/1/2002 | 4.68 M |
11/1/2002 | 4.7 M |
12/1/2002 | 4.77 M |
1/1/2003 | 4.68 M |
2/1/2003 | 4.65 M |
3/1/2003 | 4.55 M |
4/1/2003 | 4.59 M |
5/1/2003 | 4.57 M |
6/1/2003 | 4.62 M |
7/1/2003 | 4.62 M |
8/1/2003 | 4.6 M |
9/1/2003 | 4.62 M |
10/1/2003 | 4.66 M |
11/1/2003 | 4.59 M |
12/1/2003 | 4.67 M |
1/1/2004 | 5.24 M |
2/1/2004 | 5.25 M |
3/1/2004 | 5.22 M |
4/1/2004 | 5.27 M |
5/1/2004 | 5.35 M |
6/1/2004 | 5.39 M |
7/1/2004 | 5.34 M |
8/1/2004 | 5.34 M |
9/1/2004 | 5.37 M |
10/1/2004 | 5.42 M |
11/1/2004 | 5.36 M |
12/1/2004 | 5.47 M |
1/1/2005 | 5.38 M |
2/1/2005 | 5.32 M |
3/1/2005 | 5.31 M |
4/1/2005 | 5.27 M |
5/1/2005 | 5.34 M |
6/1/2005 | 5.37 M |
7/1/2005 | 5.41 M |
8/1/2005 | 5.38 M |
9/1/2005 | 5.42 M |
10/1/2005 | 5.46 M |
11/1/2005 | 5.41 M |
12/1/2005 | 5.44 M |
1/1/2006 | 5.41 M |
2/1/2006 | 5.34 M |
3/1/2006 | 5.36 M |
4/1/2006 | 5.36 M |
5/1/2006 | 5.4 M |
6/1/2006 | 5.41 M |
7/1/2006 | 5.46 M |
8/1/2006 | 5.43 M |
9/1/2006 | 5.44 M |
10/1/2006 | 5.41 M |
11/1/2006 | 5.4 M |
12/1/2006 | 5.47 M |
1/1/2007 | 5.5 M |
2/1/2007 | 5.52 M |
3/1/2007 | 5.46 M |
4/1/2007 | 5.55 M |
5/1/2007 | 5.56 M |
6/1/2007 | 5.66 M |
7/1/2007 | 5.64 M |
8/1/2007 | 5.68 M |
9/1/2007 | 5.66 M |
10/1/2007 | 5.68 M |
11/1/2007 | 5.69 M |
12/1/2007 | 5.69 M |
1/1/2008 | 5.65 M |
2/1/2008 | 5.58 M |
3/1/2008 | 5.54 M |
4/1/2008 | 5.59 M |
5/1/2008 | 5.65 M |
6/1/2008 | 5.66 M |
7/1/2008 | 5.68 M |
8/1/2008 | 5.66 M |
9/1/2008 | 5.68 M |
10/1/2008 | 5.71 M |
11/1/2008 | 5.74 M |
12/1/2008 | 5.73 M |
1/1/2009 | 6.06 M |
2/1/2009 | 5.87 M |
3/1/2009 | 6.03 M |
4/1/2009 | 6.01 M |
5/1/2009 | 6.03 M |
6/1/2009 | 6.1 M |
7/1/2009 | 6.14 M |
8/1/2009 | 6.08 M |
9/1/2009 | 6.1 M |
10/1/2009 | 6.12 M |
11/1/2009 | 6.17 M |
12/1/2009 | 6.19 M |
1/1/2010 | 6.11 M |
2/1/2010 | 6.08 M |
3/1/2010 | 6.04 M |
4/1/2010 | 6.04 M |
5/1/2010 | 6.07 M |
6/1/2010 | 6.1 M |
7/1/2010 | 6.18 M |
8/1/2010 | 6.17 M |
9/1/2010 | 6.17 M |
10/1/2010 | 6.19 M |
11/1/2010 | 6.24 M |
12/1/2010 | 6.2 M |
1/1/2011 | 6.19 M |
2/1/2011 | 6.13 M |
3/1/2011 | 6.1 M |
4/1/2011 | 6.1 M |
5/1/2011 | 6.09 M |
6/1/2011 | 6.13 M |
7/1/2011 | 6.18 M |
8/1/2011 | 6.16 M |
9/1/2011 | 6.14 M |
10/1/2011 | 6.14 M |
11/1/2011 | 6.17 M |
12/1/2011 | 6.18 M |
1/1/2012 | 6.59 M |
2/1/2012 | 6.47 M |
3/1/2012 | 6.47 M |
4/1/2012 | 6.51 M |
5/1/2012 | 6.52 M |
6/1/2012 | 6.6 M |
7/1/2012 | 6.59 M |
8/1/2012 | 6.58 M |
9/1/2012 | 6.55 M |
10/1/2012 | 6.62 M |
11/1/2012 | 6.61 M |
12/1/2012 | 6.7 M |
1/1/2013 | 6.62 M |
2/1/2013 | 6.56 M |
3/1/2013 | 6.56 M |
4/1/2013 | 6.5 M |
5/1/2013 | 6.6 M |
6/1/2013 | 6.67 M |
7/1/2013 | 6.65 M |
8/1/2013 | 6.64 M |
9/1/2013 | 6.62 M |
10/1/2013 | 6.67 M |
11/1/2013 | 6.69 M |
12/1/2013 | 6.76 M |
1/1/2014 | 6.71 M |
2/1/2014 | 6.64 M |
3/1/2014 | 6.56 M |
4/1/2014 | 6.63 M |
5/1/2014 | 6.7 M |
6/1/2014 | 6.7 M |
7/1/2014 | 6.72 M |
8/1/2014 | 6.7 M |
9/1/2014 | 6.69 M |
10/1/2014 | 6.7 M |
11/1/2014 | 6.69 M |
12/1/2014 | 6.79 M |
1/1/2015 | 6.93 M |
2/1/2015 | 6.99 M |
3/1/2015 | 6.88 M |
4/1/2015 | 6.89 M |
5/1/2015 | 6.91 M |
6/1/2015 | 7 M |
7/1/2015 | 7.08 M |
8/1/2015 | 7.03 M |
9/1/2015 | 6.98 M |
10/1/2015 | 7.04 M |
11/1/2015 | 7.08 M |
12/1/2015 | 7.14 M |
1/1/2016 | 7.07 M |
2/1/2016 | 6.96 M |
3/1/2016 | 6.88 M |
4/1/2016 | 6.93 M |
5/1/2016 | 6.97 M |
6/1/2016 | 7.03 M |
7/1/2016 | 7.06 M |
8/1/2016 | 7.01 M |
9/1/2016 | 7.03 M |
10/1/2016 | 7.01 M |
11/1/2016 | 7.06 M |
12/1/2016 | 7.14 M |
1/1/2017 | 7.03 M |
2/1/2017 | 7.04 M |
3/1/2017 | 6.9 M |
4/1/2017 | 6.99 M |
5/1/2017 | 7.04 M |
6/1/2017 | 7.11 M |
7/1/2017 | 7.13 M |
8/1/2017 | 7.07 M |
9/1/2017 | 7.1 M |
10/1/2017 | 7.13 M |
11/1/2017 | 7.15 M |
12/1/2017 | 7.2 M |
1/1/2018 | 7.32 M |
2/1/2018 | 7.34 M |
3/1/2018 | 7.21 M |
4/1/2018 | 7.25 M |
5/1/2018 | 7.3 M |
6/1/2018 | 7.31 M |
7/1/2018 | 7.37 M |
8/1/2018 | 7.29 M |
9/1/2018 | 7.3 M |
10/1/2018 | 7.36 M |
11/1/2018 | 7.37 M |
12/1/2018 | 7.39 M |
1/1/2019 | 7.57 M |
2/1/2019 | 7.61 M |
3/1/2019 | 7.46 M |
4/1/2019 | 7.43 M |
5/1/2019 | 7.47 M |
6/1/2019 | 7.5 M |
7/1/2019 | 7.58 M |
8/1/2019 | 7.55 M |
9/1/2019 | 7.58 M |
10/1/2019 | 7.58 M |
11/1/2019 | 7.64 M |
12/1/2019 | 7.66 M |
1/1/2020 | 7.63 M |
2/1/2020 | 7.6 M |
3/1/2020 | 7.54 M |
4/1/2020 | 7.34 M |
5/1/2020 | 7.32 M |
6/1/2020 | 7.41 M |
7/1/2020 | 7.44 M |
8/1/2020 | 7.45 M |
9/1/2020 | 7.48 M |
10/1/2020 | 7.47 M |
11/1/2020 | 7.61 M |
12/1/2020 | 7.53 M |
1/1/2021 | 7.46 M |
2/1/2021 | 7.48 M |
3/1/2021 | 7.33 M |
4/1/2021 | 7.3 M |
5/1/2021 | 7.34 M |
6/1/2021 | 7.36 M |
7/1/2021 | 7.42 M |
8/1/2021 | 7.4 M |
9/1/2021 | 7.37 M |
10/1/2021 | 7.41 M |
11/1/2021 | 7.45 M |
12/1/2021 | 7.48 M |
1/1/2022 | 7.16 M |
2/1/2022 | 7.09 M |
3/1/2022 | 6.99 M |
4/1/2022 | 7.11 M |
5/1/2022 | 7.15 M |
6/1/2022 | 7.24 M |
7/1/2022 | 7.24 M |
8/1/2022 | 7.27 M |
9/1/2022 | 7.21 M |
10/1/2022 | 7.28 M |
11/1/2022 | 7.26 M |
12/1/2022 | 7.13 M |
1/1/2023 | 7.2 M |
2/1/2023 | 7.24 M |
3/1/2023 | 7.17 M |
4/1/2023 | 7.19 M |
5/1/2023 | 7.24 M |
6/1/2023 | 7.32 M |
7/1/2023 | 7.31 M |
8/1/2023 | 7.32 M |
9/1/2023 | 7.34 M |
10/1/2023 | 7.31 M |
11/1/2023 | 7.42 M |
12/1/2023 | 7.46 M |
1/1/2024 | 7.69 M |
2/1/2024 | 7.64 M |
3/1/2024 | 7.54 M |
4/1/2024 | 7.58 M |
5/1/2024 | 7.69 M |
6/1/2024 | 7.67 M |
7/1/2024 | 7.75 M |
Part Time Employment History
Date | Value |
---|---|
7/1/2024 | 7.749 M |
6/1/2024 | 7.674 M |
5/1/2024 | 7.694 M |
4/1/2024 | 7.579 M |
3/1/2024 | 7.536 M |
2/1/2024 | 7.636 M |
1/1/2024 | 7.686 M |
12/1/2023 | 7.461 M |
11/1/2023 | 7.418 M |
10/1/2023 | 7.309 M |
Similar Macro Indicators to Part Time Employment
Name | Current | Previous | Frequency |
---|---|---|---|
🇯🇵 Employed persons | 67.61 M | 67.51 M | Monthly |
🇯🇵 Employment rate | 61.4 % | 61.2 % | Monthly |
🇯🇵 Full-time employment | 23.77 M | 23.009 M | Monthly |
🇯🇵 Job Opportunities | 832,062 | 816,630 | Monthly |
🇯🇵 Labor force participation rate | 63.3 % | 63.1 % | Monthly |
🇯🇵 Minimum Wages | 1,002 JPY/Hour | 961 JPY/Hour | Annually |
🇯🇵 Overtime Compensation YoY | -0.6 % | -0.5 % | Monthly |
🇯🇵 Population | 124.3 M | 124.95 M | Annually |
🇯🇵 Productivity | 97.1 points | 103.7 points | Monthly |
🇯🇵 Ratio of Jobs to Applications | 1.24 | 1.26 | Monthly |
🇯🇵 Real Earnings Excluding Bonuses | 1.1 % | -1.3 % | Monthly |
🇯🇵 Real Earnings Including Bonuses | -0.1 % | -0.8 % | Monthly |
🇯🇵 Retirement Age Men | 64 Years | 64 Years | Annually |
🇯🇵 Retirement Age Women | 64 Years | 64 Years | Annually |
🇯🇵 Unemployed Persons | 1.68 M | 1.72 M | Monthly |
🇯🇵 Unemployment Rate | 2.4 % | 2.5 % | Monthly |
🇯🇵 Wage Growth | 2.1 % | 1 % | Monthly |
🇯🇵 Wages | 332,301 JPY/Month | 339,957 JPY/Month | Monthly |
🇯🇵 Wages in Manufacturing | 354,182 JPY/Month | 354,079 JPY/Month | Monthly |
🇯🇵 Youth Unemployment Rate | 4 % | 4.1 % | Monthly |
Part-Time Employment in Japan denotes the aggregate number of part-time employees working in companies that employ more than 30 individuals.
Macro pages for other countries in Asia
- 🇨🇳China
- 🇮🇳India
- 🇮🇩Indonesia
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇰🇬Kyrgyzstan
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇼Taiwan
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
What is Part Time Employment?
Part-time employment serves as a dynamic segment within the broader labor market, encompassing a wide-ranging spectrum of economic issues and trends. On Eulerpool, our commitment to presenting granular and meticulously curated macroeconomic data empowers businesses, policymakers, researchers, and the general public to understand and analyze the profound implications of part-time employment in our economic landscape. Part-time employment, by definition, refers to employment where individuals work fewer hours than the standard full-time threshold, typically below 35 hours per week in most countries. This form of employment brings about a host of economic indicators and variables that play a significant role in shaping labor market dynamics and macroeconomic policies. Our aim at Eulerpool is to provide you with comprehensive, accurate, and up-to-date data that highlights these factors and their overall impact on the economy. The prevalence of part-time employment has experienced notable fluctuations over the years, influenced by numerous factors such as economic cycles, labor market regulations, technological advancements, demographic changes, and evolving social norms. Analyzing trends in part-time employment requires a diligent examination of data on gender, age, industry sectors, and geographic regions, all of which are seamlessly available on our platform. One of the primary drivers of part-time employment is the flexibility it offers to both employers and employees. For employers, the ability to hire part-time staff can lead to cost savings on wages and benefits. It also allows for greater flexibility in workforce management, particularly in industries with fluctuating demand such as retail, hospitality, and healthcare. On Eulerpool, we break down employment data across various sectors, enabling users to determine how part-time employment trends vary by industry and how these trends correspond to broader economic conditions. For employees, part-time work provides the flexibility to balance work with other commitments such as education, family care, or pursuing personal interests. This flexibility is particularly crucial for certain demographic groups, including students, parents of young children, and older workers nearing retirement. Our platform offers detailed demographic data, allowing users to explore how part-time employment affects different population segments and how these patterns have evolved over time. Moreover, part-time employment can also serve as a stepping stone to full-time employment. For many individuals, it offers an entry point into the workforce, paving the way for skill acquisition, professional networking, and career advancement opportunities. On Eulerpool, we offer longitudinal data that tracks the career trajectories of part-time workers, providing insights into the long-term economic outcomes associated with part-time work. However, part-time employment is not without its challenges and drawbacks. One of the most significant issues is job precarity, with part-time workers often facing lower job security, fewer benefits, and limited career advancement opportunities compared to their full-time counterparts. Additionally, part-time workers may experience wage penalties, earning less per hour compared to full-time workers in similar roles. Our data at Eulerpool includes metrics on wage disparities, benefit coverage, and job tenure for part-time versus full-time workers, enabling a comprehensive assessment of these critical concerns. Furthermore, involuntary part-time employment—where individuals seek full-time work but can only find part-time positions—remains a pressing issue in many economies. This form of underemployment can signal broader economic challenges such as insufficient job creation, skills mismatches, or restrictive labor market policies. At Eulerpool, we offer precise data on involuntary part-time employment rates, providing a clear picture of underemployment trends and their implications for the economy. From a macroeconomic perspective, part-time employment has significant ramifications. It influences aggregate labor supply, productivity, income distribution, and overall economic growth. For instance, a rise in part-time employment can lead to changes in household incomes and consumer spending patterns, which in turn affect demand for goods and services and thus economic activity. Our platform allows users to analyze these complex relationships, offering tools to correlate part-time employment trends with broader economic indicators such as GDP growth, inflation rates, and consumer spending. Policy responses to part-time employment are also crucial in shaping its role within the labor market. Government policies aimed at promoting work-life balance, providing childcare support, or enhancing job security can affect the prevalence and quality of part-time work. On Eulerpool, we track and present data on policy measures and their impact on part-time employment, allowing users to evaluate the effectiveness of various interventions. In addition, globalization and technological advancements continue to transform the nature of work and the structure of labor markets, with significant implications for part-time employment. The rise of the gig economy, remote work, and digital platforms has introduced new forms of part-time and flexible working arrangements. Our data repository includes information on these emerging trends, providing a forward-looking perspective on the future of part-time employment. Understanding part-time employment is essential for addressing contemporary labor market challenges and fostering sustainable economic development. At Eulerpool, we are dedicated to offering a robust and user-friendly platform that equips you with the knowledge and insights needed to navigate this complex landscape. Whether you are a researcher analyzing labor market trends, a business leader making strategic decisions, or a policymaker designing labor regulations, our comprehensive data on part-time employment will support your endeavors and contribute to more informed decision-making. In summary, part-time employment is a multifaceted and dynamic aspect of the labor market with significant macroeconomic implications. By providing detailed, accurate, and accessible data, Eulerpool enables a deeper understanding of the trends, drivers, challenges, and policy responses associated with part-time employment. Our platform is designed to cater to the diverse needs of our users, ensuring that you have the information and tools necessary to analyze and interpret this crucial component of the economy.