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South Korea Industrial Production Month-over-Month (MoM)

Price

2.4 %

Change +/-

-0.5 %

Percentage Change

-18.87 %

The current value of the Industrial Production Month-over-Month (MoM) in South Korea is 2.4 %. The Industrial Production Month-over-Month (MoM) in South Korea decreased to 2.4 % on 4/1/2024, after it was 2.9 % on 2/1/2024. From 2/1/1980 to 6/1/2024, the average GDP in South Korea was 0.56 %. The all-time high was reached on 9/1/1987 with 11 %, while the lowest value was recorded on 8/1/1987 with -11 %.

Source: Statistics Korea

Industrial Production Month-over-Month (MoM) ·

3 years
5 years
10 years
25 Years
Max

Industrial Production MoM

	Industrial Production MoM
2/1/1980	2.8 %
5/1/1980	0.9 %
7/1/1980	0.9 %
10/1/1980	4.8 %
11/1/1980	0.9 %
12/1/1980	0.9 %
1/1/1981	1.8 %
3/1/1981	4.5 %
4/1/1981	0.8 %
5/1/1981	2.6 %
6/1/1981	0.8 %
8/1/1981	3.4 %
10/1/1981	0.8 %
4/1/1982	1.6 %
5/1/1982	1.7 %
7/1/1982	1.7 %
9/1/1982	4.1 %
10/1/1982	1.6 %
11/1/1982	1.5 %
12/1/1982	1.5 %
1/1/1983	0.8 %
2/1/1983	0.7 %
4/1/1983	2.2 %
5/1/1983	2.9 %
6/1/1983	2.9 %
8/1/1983	2.1 %
9/1/1983	2 %
11/1/1983	2.7 %
1/1/1984	2.6 %
2/1/1984	1.3 %
3/1/1984	1.8 %
4/1/1984	3.8 %
6/1/1984	1.2 %
8/1/1984	1.1 %
10/1/1984	1.9 %
12/1/1984	1.7 %
2/1/1985	3.7 %
4/1/1985	3 %
6/1/1985	1.2 %
8/1/1985	2.3 %
12/1/1985	6.9 %
1/1/1986	1.6 %
2/1/1986	0.6 %
3/1/1986	2.6 %
4/1/1986	3.5 %
5/1/1986	1.5 %
6/1/1986	1.9 %
7/1/1986	0.5 %
8/1/1986	2.4 %
9/1/1986	1.4 %
11/1/1986	0.9 %
12/1/1986	2.7 %
1/1/1987	0.4 %
2/1/1987	0.8 %
3/1/1987	3.9 %
4/1/1987	1.7 %
5/1/1987	3.7 %
6/1/1987	2.4 %
9/1/1987	11 %
10/1/1987	5.9 %
11/1/1987	0.8 %
12/1/1987	3.3 %
1/1/1988	0.8 %
2/1/1988	0.7 %
5/1/1988	1.5 %
6/1/1988	0.4 %
7/1/1988	4.4 %
8/1/1988	2.8 %
10/1/1988	2.1 %
5/1/1989	4.4 %
6/1/1989	1 %
7/1/1989	3.5 %
8/1/1989	4.1 %
11/1/1989	2.4 %
12/1/1989	1 %
2/1/1990	2.3 %
3/1/1990	2.7 %
6/1/1990	1.9 %
7/1/1990	3.2 %
8/1/1990	2.5 %
11/1/1990	0.3 %
12/1/1990	1.8 %
2/1/1991	0.3 %
3/1/1991	0.3 %
4/1/1991	1.2 %
7/1/1991	3 %
8/1/1991	3.8 %
10/1/1991	0.9 %
11/1/1991	0.6 %
2/1/1992	2.5 %
6/1/1992	1.4 %
7/1/1992	1.6 %
11/1/1992	0.3 %
12/1/1992	0.5 %
3/1/1993	3.6 %
6/1/1993	1.1 %
7/1/1993	1.3 %
9/1/1993	4.2 %
11/1/1993	2.1 %
12/1/1993	2.3 %
2/1/1994	0.2 %
3/1/1994	1.7 %
5/1/1994	3.2 %
6/1/1994	1.4 %
8/1/1994	2.6 %
9/1/1994	3.3 %
10/1/1994	1.4 %
11/1/1994	2 %
1/1/1995	2.2 %
3/1/1995	3 %
4/1/1995	0.3 %
6/1/1995	3.6 %
8/1/1995	0.6 %
10/1/1995	0.6 %
11/1/1995	0.6 %
12/1/1995	2.3 %
2/1/1996	2.2 %
4/1/1996	3 %
5/1/1996	0.3 %
7/1/1996	2.2 %
9/1/1996	1.3 %
11/1/1996	1.3 %
12/1/1996	2.6 %
2/1/1997	4.4 %
3/1/1997	1.6 %
4/1/1997	1.8 %
6/1/1997	2.3 %
8/1/1997	3.1 %
9/1/1997	0.5 %
2/1/1998	0.8 %
5/1/1998	1.1 %
8/1/1998	4.1 %
9/1/1998	5.6 %
10/1/1998	2.4 %
11/1/1998	3.9 %
12/1/1998	1.5 %
2/1/1999	4 %
3/1/1999	1.7 %
5/1/1999	5.5 %
6/1/1999	0.7 %
7/1/1999	3.1 %
9/1/1999	5 %
10/1/1999	0.2 %
11/1/1999	4.5 %
1/1/2000	2.3 %
2/1/2000	0.2 %
3/1/2000	1.1 %
5/1/2000	3.8 %
7/1/2000	3.2 %
8/1/2000	1.5 %
2/1/2001	1.1 %
3/1/2001	0.6 %
4/1/2001	0.8 %
5/1/2001	0.8 %
6/1/2001	0.2 %
8/1/2001	2.3 %
10/1/2001	0.6 %
11/1/2001	0.6 %
1/1/2002	3.1 %
2/1/2002	1.9 %
3/1/2002	2.5 %
4/1/2002	0.9 %
7/1/2002	2.5 %
8/1/2002	0.9 %
10/1/2002	1.8 %
11/1/2002	1.4 %
12/1/2002	1.1 %
2/1/2003	0.5 %
3/1/2003	2.1 %
6/1/2003	3.1 %
8/1/2003	5.3 %
9/1/2003	1.3 %
10/1/2003	2.8 %
11/1/2003	0.1 %
12/1/2003	1.8 %
2/1/2004	5.1 %
4/1/2004	1.1 %
5/1/2004	1.5 %
8/1/2004	1.6 %
9/1/2004	1.1 %
11/1/2004	1.7 %
1/1/2005	4.2 %
3/1/2005	3.2 %
6/1/2005	0.6 %
7/1/2005	0.8 %
8/1/2005	0.6 %
9/1/2005	0.3 %
10/1/2005	3.5 %
11/1/2005	3.7 %
1/1/2006	3.1 %
2/1/2006	0.2 %
3/1/2006	0.5 %
5/1/2006	0.9 %
8/1/2006	7.3 %
9/1/2006	2.6 %
10/1/2006	2.8 %
1/1/2007	1.6 %
2/1/2007	0.5 %
4/1/2007	1.7 %
5/1/2007	0.3 %
7/1/2007	1.1 %
8/1/2007	3.1 %
10/1/2007	5.5 %
1/1/2008	2.5 %
3/1/2008	1.4 %
4/1/2008	0.3 %
10/1/2008	0.9 %
1/1/2009	1.9 %
2/1/2009	8.9 %
3/1/2009	3.8 %
4/1/2009	3.4 %
5/1/2009	0.7 %
6/1/2009	3.8 %
7/1/2009	2.6 %
8/1/2009	0.6 %
9/1/2009	4.3 %
11/1/2009	1.2 %
12/1/2009	1.2 %
1/1/2010	1.8 %
2/1/2010	0.7 %
3/1/2010	2.1 %
4/1/2010	1.3 %
5/1/2010	0.6 %
6/1/2010	0.3 %
7/1/2010	0.8 %
9/1/2010	0.5 %
10/1/2010	1.4 %
11/1/2010	0.1 %
12/1/2010	1.6 %
1/1/2011	3.1 %
3/1/2011	2.5 %
5/1/2011	0.4 %
6/1/2011	0.8 %
7/1/2011	0.1 %
9/1/2011	0.5 %
10/1/2011	2.3 %
1/1/2012	2.3 %
2/1/2012	4 %
4/1/2012	1.2 %
5/1/2012	0.4 %
9/1/2012	1.4 %
10/1/2012	2.6 %
11/1/2012	0.6 %
12/1/2012	0.1 %
1/1/2013	1.4 %
4/1/2013	0.7 %
8/1/2013	1.3 %
10/1/2013	3.4 %
12/1/2013	1.4 %
1/1/2014	0.6 %
3/1/2014	0.7 %
4/1/2014	0.3 %
6/1/2014	2.5 %
7/1/2014	0.8 %
10/1/2014	0.1 %
11/1/2014	0.3 %
12/1/2014	2.6 %
2/1/2015	1.5 %
4/1/2015	0.8 %
6/1/2015	1.7 %
8/1/2015	2.3 %
9/1/2015	1.2 %
1/1/2016	0.3 %
2/1/2016	1.1 %
3/1/2016	0.8 %
5/1/2016	2.7 %
9/1/2016	0.3 %
11/1/2016	4.6 %
1/1/2017	2.6 %
3/1/2017	1.6 %
5/1/2017	0.4 %
7/1/2017	1.1 %
9/1/2017	1.1 %
10/1/2017	0.2 %
11/1/2017	0.2 %
1/1/2018	2 %
2/1/2018	0.6 %
4/1/2018	3 %
5/1/2018	0.5 %
7/1/2018	0.5 %
8/1/2018	0.4 %
10/1/2018	2.2 %
1/1/2019	1 %
3/1/2019	2.1 %
4/1/2019	2.9 %
7/1/2019	2.6 %
9/1/2019	2.4 %
12/1/2019	2.4 %
3/1/2020	4.5 %
6/1/2020	6.4 %
7/1/2020	1.7 %
8/1/2020	1.5 %
9/1/2020	4.5 %
11/1/2020	0.7 %
12/1/2020	1 %
1/1/2021	0.3 %
2/1/2021	2.9 %
6/1/2021	0.9 %
7/1/2021	1.7 %
8/1/2021	1 %
10/1/2021	1.4 %
11/1/2021	0.7 %
12/1/2021	4.3 %
1/1/2022	0.2 %
3/1/2022	0.7 %
6/1/2022	1.6 %
1/1/2023	2.3 %
3/1/2023	3.5 %
5/1/2023	3.5 %
8/1/2023	5.4 %
9/1/2023	1.9 %
11/1/2023	1.6 %
2/1/2024	2.9 %
4/1/2024	2.4 %

Industrial Production Month-over-Month (MoM) History

Date	Value
4/1/2024	2.4 %
2/1/2024	2.9 %
11/1/2023	1.6 %
9/1/2023	1.9 %
8/1/2023	5.4 %
5/1/2023	3.5 %
3/1/2023	3.5 %
1/1/2023	2.3 %
6/1/2022	1.6 %
3/1/2022	0.7 %
1/1/2022	0.2 %
12/1/2021	4.3 %
11/1/2021	0.7 %
10/1/2021	1.4 %
8/1/2021	1 %
7/1/2021	1.7 %
6/1/2021	0.9 %
2/1/2021	2.9 %
1/1/2021	0.3 %
12/1/2020	1 %
11/1/2020	0.7 %
9/1/2020	4.5 %
8/1/2020	1.5 %
7/1/2020	1.7 %
6/1/2020	6.4 %
3/1/2020	4.5 %
12/1/2019	2.4 %
9/1/2019	2.4 %
7/1/2019	2.6 %
4/1/2019	2.9 %
3/1/2019	2.1 %
1/1/2019	1 %
10/1/2018	2.2 %
8/1/2018	0.4 %
7/1/2018	0.5 %
5/1/2018	0.5 %
4/1/2018	3 %
2/1/2018	0.6 %
1/1/2018	2 %
11/1/2017	0.2 %
10/1/2017	0.2 %
9/1/2017	1.1 %
7/1/2017	1.1 %
5/1/2017	0.4 %
3/1/2017	1.6 %
1/1/2017	2.6 %
11/1/2016	4.6 %
9/1/2016	0.3 %
5/1/2016	2.7 %
3/1/2016	0.8 %
2/1/2016	1.1 %
1/1/2016	0.3 %
9/1/2015	1.2 %
8/1/2015	2.3 %
6/1/2015	1.7 %
4/1/2015	0.8 %
2/1/2015	1.5 %
12/1/2014	2.6 %
11/1/2014	0.3 %
10/1/2014	0.1 %
7/1/2014	0.8 %
6/1/2014	2.5 %
4/1/2014	0.3 %
3/1/2014	0.7 %
1/1/2014	0.6 %
12/1/2013	1.4 %
10/1/2013	3.4 %
8/1/2013	1.3 %
4/1/2013	0.7 %
1/1/2013	1.4 %
12/1/2012	0.1 %
11/1/2012	0.6 %
10/1/2012	2.6 %
9/1/2012	1.4 %
5/1/2012	0.4 %
4/1/2012	1.2 %
2/1/2012	4 %
1/1/2012	2.3 %
10/1/2011	2.3 %
9/1/2011	0.5 %
7/1/2011	0.1 %
6/1/2011	0.8 %
5/1/2011	0.4 %
3/1/2011	2.5 %
1/1/2011	3.1 %
12/1/2010	1.6 %
11/1/2010	0.1 %
10/1/2010	1.4 %
9/1/2010	0.5 %
7/1/2010	0.8 %
6/1/2010	0.3 %
5/1/2010	0.6 %
4/1/2010	1.3 %
3/1/2010	2.1 %
2/1/2010	0.7 %
1/1/2010	1.8 %
12/1/2009	1.2 %
11/1/2009	1.2 %
9/1/2009	4.3 %
8/1/2009	0.6 %
7/1/2009	2.6 %
6/1/2009	3.8 %
5/1/2009	0.7 %
4/1/2009	3.4 %
3/1/2009	3.8 %
2/1/2009	8.9 %
1/1/2009	1.9 %
10/1/2008	0.9 %
4/1/2008	0.3 %
3/1/2008	1.4 %
1/1/2008	2.5 %
10/1/2007	5.5 %
8/1/2007	3.1 %
7/1/2007	1.1 %
5/1/2007	0.3 %
4/1/2007	1.7 %
2/1/2007	0.5 %
1/1/2007	1.6 %
10/1/2006	2.8 %
9/1/2006	2.6 %
8/1/2006	7.3 %
5/1/2006	0.9 %
3/1/2006	0.5 %
2/1/2006	0.2 %
1/1/2006	3.1 %
11/1/2005	3.7 %
10/1/2005	3.5 %
9/1/2005	0.3 %
8/1/2005	0.6 %
7/1/2005	0.8 %
6/1/2005	0.6 %
3/1/2005	3.2 %
1/1/2005	4.2 %
11/1/2004	1.7 %
9/1/2004	1.1 %
8/1/2004	1.6 %
5/1/2004	1.5 %
4/1/2004	1.1 %
2/1/2004	5.1 %
12/1/2003	1.8 %
11/1/2003	0.1 %
10/1/2003	2.8 %
9/1/2003	1.3 %
8/1/2003	5.3 %
6/1/2003	3.1 %
3/1/2003	2.1 %
2/1/2003	0.5 %
12/1/2002	1.1 %
11/1/2002	1.4 %
10/1/2002	1.8 %
8/1/2002	0.9 %
7/1/2002	2.5 %
4/1/2002	0.9 %
3/1/2002	2.5 %
2/1/2002	1.9 %
1/1/2002	3.1 %
11/1/2001	0.6 %
10/1/2001	0.6 %
8/1/2001	2.3 %
6/1/2001	0.2 %
5/1/2001	0.8 %
4/1/2001	0.8 %
3/1/2001	0.6 %
2/1/2001	1.1 %
8/1/2000	1.5 %
7/1/2000	3.2 %
5/1/2000	3.8 %
3/1/2000	1.1 %
2/1/2000	0.2 %
1/1/2000	2.3 %
11/1/1999	4.5 %
10/1/1999	0.2 %
9/1/1999	5 %
7/1/1999	3.1 %
6/1/1999	0.7 %
5/1/1999	5.5 %
3/1/1999	1.7 %
2/1/1999	4 %
12/1/1998	1.5 %
11/1/1998	3.9 %
10/1/1998	2.4 %
9/1/1998	5.6 %
8/1/1998	4.1 %
5/1/1998	1.1 %
2/1/1998	0.8 %
9/1/1997	0.5 %
8/1/1997	3.1 %
6/1/1997	2.3 %
4/1/1997	1.8 %
3/1/1997	1.6 %
2/1/1997	4.4 %
12/1/1996	2.6 %
11/1/1996	1.3 %
9/1/1996	1.3 %
7/1/1996	2.2 %
5/1/1996	0.3 %
4/1/1996	3 %
2/1/1996	2.2 %
12/1/1995	2.3 %
11/1/1995	0.6 %
10/1/1995	0.6 %
8/1/1995	0.6 %
6/1/1995	3.6 %
4/1/1995	0.3 %
3/1/1995	3 %
1/1/1995	2.2 %
11/1/1994	2 %
10/1/1994	1.4 %
9/1/1994	3.3 %
8/1/1994	2.6 %
6/1/1994	1.4 %
5/1/1994	3.2 %
3/1/1994	1.7 %
2/1/1994	0.2 %
12/1/1993	2.3 %
11/1/1993	2.1 %
9/1/1993	4.2 %
7/1/1993	1.3 %
6/1/1993	1.1 %
3/1/1993	3.6 %
12/1/1992	0.5 %
11/1/1992	0.3 %
7/1/1992	1.6 %
6/1/1992	1.4 %
2/1/1992	2.5 %
11/1/1991	0.6 %
10/1/1991	0.9 %
8/1/1991	3.8 %
7/1/1991	3 %
4/1/1991	1.2 %
3/1/1991	0.3 %
2/1/1991	0.3 %
12/1/1990	1.8 %
11/1/1990	0.3 %
8/1/1990	2.5 %
7/1/1990	3.2 %
6/1/1990	1.9 %
3/1/1990	2.7 %
2/1/1990	2.3 %
12/1/1989	1 %
11/1/1989	2.4 %
8/1/1989	4.1 %
7/1/1989	3.5 %
6/1/1989	1 %
5/1/1989	4.4 %
10/1/1988	2.1 %
8/1/1988	2.8 %
7/1/1988	4.4 %
6/1/1988	0.4 %
5/1/1988	1.5 %
2/1/1988	0.7 %
1/1/1988	0.8 %
12/1/1987	3.3 %
11/1/1987	0.8 %
10/1/1987	5.9 %
9/1/1987	11 %
6/1/1987	2.4 %
5/1/1987	3.7 %
4/1/1987	1.7 %
3/1/1987	3.9 %
2/1/1987	0.8 %
1/1/1987	0.4 %
12/1/1986	2.7 %
11/1/1986	0.9 %
9/1/1986	1.4 %
8/1/1986	2.4 %
7/1/1986	0.5 %
6/1/1986	1.9 %
5/1/1986	1.5 %
4/1/1986	3.5 %
3/1/1986	2.6 %
2/1/1986	0.6 %
1/1/1986	1.6 %
12/1/1985	6.9 %
8/1/1985	2.3 %
6/1/1985	1.2 %
4/1/1985	3 %
2/1/1985	3.7 %
12/1/1984	1.7 %
10/1/1984	1.9 %
8/1/1984	1.1 %
6/1/1984	1.2 %
4/1/1984	3.8 %
3/1/1984	1.8 %
2/1/1984	1.3 %
1/1/1984	2.6 %
11/1/1983	2.7 %
9/1/1983	2 %
8/1/1983	2.1 %
6/1/1983	2.9 %
5/1/1983	2.9 %
4/1/1983	2.2 %
2/1/1983	0.7 %
1/1/1983	0.8 %
12/1/1982	1.5 %
11/1/1982	1.5 %
10/1/1982	1.6 %
9/1/1982	4.1 %
7/1/1982	1.7 %
5/1/1982	1.7 %
4/1/1982	1.6 %
10/1/1981	0.8 %
8/1/1981	3.4 %
6/1/1981	0.8 %
5/1/1981	2.6 %
4/1/1981	0.8 %
3/1/1981	4.5 %
1/1/1981	1.8 %
12/1/1980	0.9 %
11/1/1980	0.9 %
10/1/1980	4.8 %
7/1/1980	0.9 %
5/1/1980	0.9 %
2/1/1980	2.8 %

...

Similar Macro Indicators to Industrial Production Month-over-Month (MoM)

Name	Current	Previous	Frequency
🇰🇷 Automobile production	300,459 Units	358,423 Units	Monthly
🇰🇷 Bankruptcies	13 Companies	12 Companies	Monthly
🇰🇷 Business Climate	78 points	74 points	Monthly
🇰🇷 Capacity Utilization	102.3 points	102.3 points	Monthly
🇰🇷 Changes in Inventory Levels	-3.611 T KRW	2.972 T KRW	Quarter
🇰🇷 Composite Leading Indicator	101.156 points	100.992 points	Monthly
🇰🇷 Consistency Index	111.9 points	111.9 points	Monthly
🇰🇷 Electricity Production	22,518.57 Gigawatt-hour	23,784.663 Gigawatt-hour	Monthly
🇰🇷 Industrial production	-1.3 %	3.8 %	Monthly
🇰🇷 Leading Indicator	114.8 points	114.3 points	Monthly
🇰🇷 Manufacturing PMI	52 points	51.6 points	Monthly
🇰🇷 Manufacturing Production	3.7 %	5.4 %	Monthly
🇰🇷 Mining Production	-4.8 %	-4.7 %	Monthly
🇰🇷 New Orders	6.248 T KRW	11.243 T KRW	Monthly
🇰🇷 Steel production	5.2 M Tonnes	5.1 M Tonnes	Monthly
🇰🇷 Vehicle Registrations	125,244 Units	98,253 Units	Monthly

In South Korea, industrial production assesses the output of businesses within the industrial sector of the economy, including manufacturing, mining, and utilities.

What is Industrial Production Month-over-Month (MoM)?

Industrial Production MoM (Month-over-Month) is a pivotal economic indicator that measures the change in the output of the industrial sector over a given month compared to the previous month. This sector comprises manufacturing, mining, and utilities, serving as a crucial component of any economy. At Eulerpool, we recognize the necessity of reliable and detailed macroeconomic data for informed decision-making. Thus, our platform provides exhaustive and precise insights into the Industrial Production MoM, empowering professionals, investors, analysts, and policymakers to make well-grounded economic assessments. Understanding the significance of Industrial Production MoM begins with recognizing its role as an early indicator of economic health and momentum. This data point not only reflects the immediate state of industrial productivity but also offers predictive insights into future economic conditions. A rise in industrial production suggests increased activity and expansion in the industrial sector, which can lead to job creation, higher wages, and greater consumer spending. Conversely, a decline may indicate potential slowdowns, reduced investment in industrial infrastructure, and possible recessions. Therefore, frequent monitoring of this indicator is essential for anticipating economic trends and crafting responsive economic policies. In the intricate fabric of economic indicators, Industrial Production MoM data holds a unique place due to its granularity and promptness. Unlike GDP, which is typically reported on a quarterly basis and can be subject to significant revisions, Industrial Production MoM data is available monthly, providing timely snapshots of economic activity. This frequency allows stakeholders to observe short-term economic fluctuations and adjust their strategies accordingly. By offering month-over-month comparisons, this metric helps to smooth out seasonal variations, affording a clearer picture of underlying industrial trends. For investors, Industrial Production MoM is a valuable tool for assessing the performance and potential growth of various industries. Investing heavily relies on understanding which sectors are expanding and which are contracting. The manufacturing component, in particular, is closely watched as it often corresponds with consumer demand and business investment trends. A surge in industrial production might indicate robust consumer demand and a healthy business environment. For instance, an increase in the production of durable goods such as machinery and vehicles often signals business confidence in future economic conditions. Therefore, tracking Industrial Production MoM can aid investors in making sector-specific investment decisions and in timing their market entries and exits more effectively. For policymakers, Industrial Production MoM provides critical input for economic strategy formulation. National governments and central banks use this data to gauge the effectiveness of monetary and fiscal policies. For instance, a consistent decline in industrial production might prompt a central bank to lower interest rates to stimulate economic activity. Moreover, it can drive policy measures aimed at sectoral support such as subsidies, tax reliefs, and investment incentives for the industrial sector. Additionally, Industrial Production MoM figures can also inform trade policies. For economies heavily reliant on industrial exports, understanding production trends can help in negotiating trade agreements and tariffs. Academically, Industrial Production MoM serves as an essential variable in various economic models and forecasts. Economists and researchers utilize this data to dissect the intricacies of industrial cycles and their impacts on overall economic health. By integrating these figures into econometric models, it becomes possible to study the elasticity of industrial production to policy changes, external shocks, and other macroeconomic variables. This analysis can yield insights into the resilience of the industrial sector and its capacity to drive economic recovery under different scenarios. The comprehensive presentation of Industrial Production MoM data on Eulerpool underscores our commitment to delivering unparalleled macroeconomic intelligence. Our platform not only offers raw data but also enriches it with analytical tools such as trend analysis, seasonally adjusted figures, and comparative studies across different economies. Users can access historical data to understand long-term trends and utilize our forecasting features to anticipate future movements. We ensure data accuracy and timeliness, making it a dependable resource for all economic stakeholders. In a globalized economy, the state of industrial production in one country can have ripple effects across the world. Supply chain intricacies mean that a drop in industrial production in a major manufacturing hub can impact production schedules, inventory levels, and shipping times worldwide. Companies with global operations or supply chains need to stay abreast of industrial production trends to manage risks and optimize their logistics strategies. For instance, a company sourcing components from multiple countries can use this data to identify potential disruptions and plan alternative sourcing strategies. On the micro level, business managers and corporate strategists can leverage Industrial Production MoM data to make tangible operational decisions. For manufacturing firms, this data can inform production planning, inventory management, and workforce allocation. By aligning production schedules with industrial trends, firms can optimize their operations, reduce bottlenecks, and minimize costs. Moreover, Industrial Production MoM is integral to the activities of financial analysts and portfolio managers. The data helps them refine their financial models, updating earnings forecasts, and evaluating the risk profiles of their portfolios. As industrial production has a broad-based impact on corporate revenues and profits, maintaining an updated understanding of its short-term movements allows for better predictions of quarterly earnings results and overall market performance. Finally, the accessibility and presentation of Industrial Production MoM data on Eulerpool ensure that all our users, regardless of their technical expertise, can derive meaningful insights. Our user-friendly interface and intuitive design facilitate seamless navigation through complex datasets. We prioritize user experience, ensuring that even the less-experienced can interpret and utilize the wealth of information available. In conclusion, the Industrial Production MoM serves as an indispensable tool in the toolkit of anyone engaged in macroeconomic analysis, investment strategy, policymaking, or business operations. At Eulerpool, we strive to be the premier source of this critical data, offering robust, comprehensive, and accessible insights for all users. By staying informed through our platform, professionals can better navigate the economic landscape, anticipating changes and capitalizing on opportunities with confidence.

Country

South Korea

Continent

Asia

Highest Value

Lowest Value

-11

Average Value

0.56

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