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Japan Producer Price Inflation Month-over-Month (MoM)
Price
The current value of the Producer Price Inflation Month-over-Month (MoM) in Japan is 0.5 %. The Producer Price Inflation Month-over-Month (MoM) in Japan increased to 0.5 % on 4/1/2024, after it was 0.3 % on 3/1/2024. From 2/1/1960 to 5/1/2024, the average GDP in Japan was 0.12 %. The all-time high was reached on 12/1/1973 with 7.4 %, while the lowest value was recorded on 10/1/2008 with -1.9 %.
Producer Price Inflation Month-over-Month (MoM) ·
3 years
5 years
10 years
25 Years
Max
| Producer Price Inflation MoM | |
|---|---|
| 8/1/1960 | 0.4 % |
| 9/1/1960 | 0.4 % |
| 1/1/1961 | 0.2 % |
| 3/1/1961 | 0.4 % |
| 4/1/1961 | 0.6 % |
| 5/1/1961 | 0.2 % |
| 8/1/1961 | 0.6 % |
| 7/1/1962 | 0.2 % |
| 8/1/1962 | 0.2 % |
| 12/1/1962 | 0.8 % |
| 1/1/1963 | 0.4 % |
| 2/1/1963 | 0.2 % |
| 3/1/1963 | 0.2 % |
| 5/1/1963 | 0.2 % |
| 6/1/1963 | 0.4 % |
| 8/1/1963 | 0.2 % |
| 9/1/1963 | 0.2 % |
| 11/1/1963 | 0.2 % |
| 7/1/1964 | 0.2 % |
| 8/1/1964 | 0.4 % |
| 9/1/1964 | 0.2 % |
| 1/1/1965 | 0.8 % |
| 8/1/1965 | 0.2 % |
| 9/1/1965 | 0.4 % |
| 11/1/1965 | 0.2 % |
| 12/1/1965 | 0.4 % |
| 1/1/1966 | 0.6 % |
| 2/1/1966 | 0.4 % |
| 6/1/1966 | 0.4 % |
| 7/1/1966 | 0.4 % |
| 8/1/1966 | 0.2 % |
| 10/1/1966 | 0.6 % |
| 12/1/1966 | 0.4 % |
| 1/1/1967 | 1.4 % |
| 8/1/1967 | 1 % |
| 9/1/1967 | 0.2 % |
| 10/1/1967 | 0.6 % |
| 11/1/1967 | 0.2 % |
| 2/1/1968 | 0.2 % |
| 5/1/1968 | 0.2 % |
| 9/1/1968 | 0.4 % |
| 10/1/1968 | 0.4 % |
| 3/1/1969 | 0.2 % |
| 5/1/1969 | 0.4 % |
| 6/1/1969 | 0.2 % |
| 7/1/1969 | 0.2 % |
| 8/1/1969 | 0.6 % |
| 9/1/1969 | 1.1 % |
| 11/1/1969 | 0.4 % |
| 12/1/1969 | 0.4 % |
| 1/1/1970 | 0.6 % |
| 2/1/1970 | 0.6 % |
| 3/1/1970 | 0.4 % |
| 4/1/1970 | 0.2 % |
| 8/1/1970 | 0.2 % |
| 4/1/1971 | 0.2 % |
| 8/1/1971 | 0.4 % |
| 12/1/1971 | 0.4 % |
| 2/1/1972 | 0.2 % |
| 3/1/1972 | 0.2 % |
| 4/1/1972 | 0.4 % |
| 7/1/1972 | 0.2 % |
| 8/1/1972 | 0.5 % |
| 9/1/1972 | 1.3 % |
| 10/1/1972 | 0.7 % |
| 11/1/1972 | 1.4 % |
| 12/1/1972 | 1.4 % |
| 1/1/1973 | 1.2 % |
| 2/1/1973 | 1.7 % |
| 3/1/1973 | 2.5 % |
| 4/1/1973 | 0.3 % |
| 5/1/1973 | 0.5 % |
| 6/1/1973 | 1.3 % |
| 7/1/1973 | 1.3 % |
| 8/1/1973 | 2.7 % |
| 9/1/1973 | 2 % |
| 10/1/1973 | 1.7 % |
| 11/1/1973 | 2.8 % |
| 12/1/1973 | 7.4 % |
| 1/1/1974 | 5 % |
| 2/1/1974 | 2.2 % |
| 3/1/1974 | 0.5 % |
| 4/1/1974 | 0.8 % |
| 5/1/1974 | 0.4 % |
| 6/1/1974 | 1.1 % |
| 7/1/1974 | 0.7 % |
| 8/1/1974 | 0.4 % |
| 10/1/1974 | 0.6 % |
| 11/1/1974 | 0.4 % |
| 12/1/1974 | 0.2 % |
| 7/1/1975 | 0.1 % |
| 8/1/1975 | 0.4 % |
| 9/1/1975 | 0.5 % |
| 10/1/1975 | 0.5 % |
| 12/1/1975 | 0.6 % |
| 1/1/1976 | 0.9 % |
| 2/1/1976 | 0.5 % |
| 3/1/1976 | 0.7 % |
| 4/1/1976 | 0.5 % |
| 5/1/1976 | 0.2 % |
| 6/1/1976 | 0.3 % |
| 7/1/1976 | 1.3 % |
| 8/1/1976 | 1 % |
| 9/1/1976 | 0.6 % |
| 10/1/1976 | 0.2 % |
| 11/1/1976 | 0.1 % |
| 12/1/1976 | 0.2 % |
| 2/1/1977 | 0.6 % |
| 4/1/1977 | 0.2 % |
| 5/1/1977 | 0.1 % |
| 8/1/1977 | 0.2 % |
| 9/1/1977 | 0.2 % |
| 3/1/1978 | 0.1 % |
| 4/1/1978 | 0.1 % |
| 12/1/1978 | 0.1 % |
| 1/1/1979 | 0.3 % |
| 2/1/1979 | 0.7 % |
| 3/1/1979 | 0.5 % |
| 4/1/1979 | 1.2 % |
| 5/1/1979 | 0.9 % |
| 6/1/1979 | 1 % |
| 7/1/1979 | 1.8 % |
| 8/1/1979 | 1 % |
| 9/1/1979 | 1.1 % |
| 10/1/1979 | 0.7 % |
| 11/1/1979 | 0.8 % |
| 12/1/1979 | 1.3 % |
| 1/1/1980 | 2 % |
| 2/1/1980 | 1.8 % |
| 3/1/1980 | 1.5 % |
| 4/1/1980 | 3.1 % |
| 5/1/1980 | 0.8 % |
| 6/1/1980 | 0.4 % |
| 7/1/1980 | 0.4 % |
| 8/1/1980 | 0.5 % |
| 9/1/1980 | 0.2 % |
| 4/1/1981 | 0.1 % |
| 5/1/1981 | 0.4 % |
| 7/1/1981 | 0.2 % |
| 8/1/1981 | 0.4 % |
| 9/1/1981 | 0.3 % |
| 11/1/1981 | 0.2 % |
| 12/1/1981 | 0.1 % |
| 4/1/1982 | 0.1 % |
| 7/1/1982 | 0.2 % |
| 8/1/1982 | 0.4 % |
| 9/1/1982 | 0.4 % |
| 11/1/1982 | 0.1 % |
| 5/1/1983 | 0.2 % |
| 7/1/1983 | 0.2 % |
| 9/1/1983 | 0.2 % |
| 11/1/1983 | 0.1 % |
| 12/1/1983 | 0.2 % |
| 2/1/1984 | 0.2 % |
| 5/1/1984 | 0.1 % |
| 7/1/1984 | 0.2 % |
| 8/1/1984 | 0.1 % |
| 9/1/1984 | 0.1 % |
| 1/1/1985 | 0.5 % |
| 3/1/1987 | 0.1 % |
| 6/1/1987 | 0.1 % |
| 7/1/1987 | 0.4 % |
| 8/1/1987 | 0.4 % |
| 9/1/1987 | 0.3 % |
| 6/1/1988 | 0.1 % |
| 7/1/1988 | 0.2 % |
| 9/1/1988 | 0.2 % |
| 2/1/1989 | 0.2 % |
| 3/1/1989 | 0.1 % |
| 4/1/1989 | 1.9 % |
| 5/1/1989 | 0.2 % |
| 6/1/1989 | 0.1 % |
| 7/1/1989 | 0.4 % |
| 8/1/1989 | 0.1 % |
| 9/1/1989 | 0.1 % |
| 1/1/1990 | 0.4 % |
| 3/1/1990 | 0.1 % |
| 6/1/1990 | 0.1 % |
| 7/1/1990 | 0.3 % |
| 8/1/1990 | 0.2 % |
| 9/1/1990 | 0.5 % |
| 10/1/1990 | 0.2 % |
| 11/1/1990 | 0.3 % |
| 12/1/1990 | 0.1 % |
| 1/1/1991 | 0.1 % |
| 2/1/1991 | 0.1 % |
| 7/1/1992 | 0.1 % |
| 12/1/1994 | 0.1 % |
| 1/1/1995 | 0.2 % |
| 7/1/1996 | 0.2 % |
| 11/1/1996 | 0.1 % |
| 12/1/1996 | 0.2 % |
| 2/1/1997 | 0.1 % |
| 4/1/1997 | 1.9 % |
| 7/1/1997 | 0.1 % |
| 5/1/1999 | 0.1 % |
| 7/1/1999 | 0.4 % |
| 8/1/1999 | 0.1 % |
| 1/1/2000 | 0.5 % |
| 7/1/2000 | 0.1 % |
| 11/1/2002 | 0.1 % |
| 2/1/2003 | 0.2 % |
| 7/1/2003 | 0.3 % |
| 11/1/2003 | 0.1 % |
| 12/1/2003 | 0.1 % |
| 1/1/2004 | 0.2 % |
| 2/1/2004 | 0.2 % |
| 3/1/2004 | 0.2 % |
| 4/1/2004 | 0.3 % |
| 6/1/2004 | 0.3 % |
| 7/1/2004 | 0.5 % |
| 9/1/2004 | 0.1 % |
| 11/1/2004 | 0.1 % |
| 2/1/2005 | 0.1 % |
| 3/1/2005 | 0.2 % |
| 4/1/2005 | 0.5 % |
| 7/1/2005 | 0.5 % |
| 8/1/2005 | 0.2 % |
| 9/1/2005 | 0.1 % |
| 10/1/2005 | 0.2 % |
| 12/1/2005 | 0.2 % |
| 1/1/2006 | 0.1 % |
| 2/1/2006 | 0.3 % |
| 4/1/2006 | 0.3 % |
| 5/1/2006 | 0.5 % |
| 7/1/2006 | 0.5 % |
| 8/1/2006 | 0.3 % |
| 9/1/2006 | 0.2 % |
| 4/1/2007 | 0.9 % |
| 5/1/2007 | 0.2 % |
| 6/1/2007 | 0.1 % |
| 7/1/2007 | 0.6 % |
| 8/1/2007 | 0.1 % |
| 10/1/2007 | 0.3 % |
| 11/1/2007 | 0.2 % |
| 12/1/2007 | 0.3 % |
| 1/1/2008 | 0.3 % |
| 2/1/2008 | 0.5 % |
| 3/1/2008 | 0.5 % |
| 4/1/2008 | 0.9 % |
| 5/1/2008 | 1.2 % |
| 6/1/2008 | 0.9 % |
| 7/1/2008 | 2.2 % |
| 8/1/2008 | 0.1 % |
| 7/1/2009 | 0.4 % |
| 9/1/2009 | 0.1 % |
| 12/1/2009 | 0.1 % |
| 1/1/2010 | 0.6 % |
| 4/1/2010 | 0.3 % |
| 12/1/2010 | 0.5 % |
| 1/1/2011 | 0.4 % |
| 2/1/2011 | 0.1 % |
| 3/1/2011 | 0.5 % |
| 4/1/2011 | 0.8 % |
| 7/1/2011 | 0.3 % |
| 2/1/2012 | 0.2 % |
| 3/1/2012 | 0.5 % |
| 8/1/2012 | 0.1 % |
| 9/1/2012 | 0.3 % |
| 12/1/2012 | 0.4 % |
| 1/1/2013 | 0.2 % |
| 2/1/2013 | 0.4 % |
| 3/1/2013 | 0.1 % |
| 4/1/2013 | 0.4 % |
| 5/1/2013 | 0.1 % |
| 7/1/2013 | 0.5 % |
| 8/1/2013 | 0.3 % |
| 9/1/2013 | 0.3 % |
| 12/1/2013 | 0.3 % |
| 1/1/2014 | 0.2 % |
| 4/1/2014 | 2.9 % |
| 5/1/2014 | 0.3 % |
| 6/1/2014 | 0.1 % |
| 7/1/2014 | 0.4 % |
| 3/1/2015 | 0.2 % |
| 5/1/2015 | 0.2 % |
| 9/1/2016 | 0.1 % |
| 11/1/2016 | 0.4 % |
| 12/1/2016 | 0.7 % |
| 1/1/2017 | 0.6 % |
| 2/1/2017 | 0.2 % |
| 3/1/2017 | 0.3 % |
| 4/1/2017 | 0.2 % |
| 6/1/2017 | 0.1 % |
| 7/1/2017 | 0.2 % |
| 9/1/2017 | 0.3 % |
| 10/1/2017 | 0.4 % |
| 11/1/2017 | 0.4 % |
| 12/1/2017 | 0.2 % |
| 1/1/2018 | 0.3 % |
| 4/1/2018 | 0.4 % |
| 5/1/2018 | 0.5 % |
| 6/1/2018 | 0.3 % |
| 7/1/2018 | 0.4 % |
| 9/1/2018 | 0.2 % |
| 10/1/2018 | 0.4 % |
| 2/1/2019 | 0.4 % |
| 3/1/2019 | 0.3 % |
| 4/1/2019 | 0.4 % |
| 10/1/2019 | 1.1 % |
| 11/1/2019 | 0.1 % |
| 12/1/2019 | 0.2 % |
| 1/1/2020 | 0.1 % |
| 6/1/2020 | 0.6 % |
| 7/1/2020 | 0.5 % |
| 8/1/2020 | 0.1 % |
| 12/1/2020 | 0.4 % |
| 1/1/2021 | 0.5 % |
| 2/1/2021 | 0.5 % |
| 3/1/2021 | 1 % |
| 4/1/2021 | 1.2 % |
| 5/1/2021 | 0.6 % |
| 6/1/2021 | 0.7 % |
| 7/1/2021 | 1.1 % |
| 8/1/2021 | 0.2 % |
| 9/1/2021 | 0.4 % |
| 10/1/2021 | 1.6 % |
| 11/1/2021 | 0.6 % |
| 1/1/2022 | 0.9 % |
| 2/1/2022 | 0.8 % |
| 3/1/2022 | 1 % |
| 4/1/2022 | 1.6 % |
| 5/1/2022 | 0.1 % |
| 6/1/2022 | 0.9 % |
| 7/1/2022 | 0.8 % |
| 8/1/2022 | 0.4 % |
| 9/1/2022 | 1 % |
| 10/1/2022 | 1 % |
| 11/1/2022 | 0.8 % |
| 12/1/2022 | 0.7 % |
| 3/1/2023 | 0.1 % |
| 4/1/2023 | 0.3 % |
| 7/1/2023 | 0.3 % |
| 8/1/2023 | 0.3 % |
| 11/1/2023 | 0.3 % |
| 12/1/2023 | 0.3 % |
| 2/1/2024 | 0.2 % |
| 3/1/2024 | 0.3 % |
| 4/1/2024 | 0.5 % |
Producer Price Inflation Month-over-Month (MoM) History
| Date | Value |
|---|---|
| 4/1/2024 | 0.5 % |
| 3/1/2024 | 0.3 % |
| 2/1/2024 | 0.2 % |
| 12/1/2023 | 0.3 % |
| 11/1/2023 | 0.3 % |
| 8/1/2023 | 0.3 % |
| 7/1/2023 | 0.3 % |
| 4/1/2023 | 0.3 % |
| 3/1/2023 | 0.1 % |
| 12/1/2022 | 0.7 % |
Similar Macro Indicators to Producer Price Inflation Month-over-Month (MoM)
| Name | Current | Previous | Frequency |
|---|---|---|---|
🇯🇵 Commodity Inflation | 3.8 % | 3.9 % | Monthly |
🇯🇵 Consumer Price Index (CPI) | 108.1 points | 107.7 points | Monthly |
🇯🇵 Consumer Price Index for Housing and Utilities | 103.5 points | 103.4 points | Monthly |
🇯🇵 Core Consumer Prices | 107.5 points | 107.1 points | Monthly |
🇯🇵 Core CPI | 2.1 % | 2.4 % | Monthly |
🇯🇵 Core Inflation Rate | 2.5 % | 2.2 % | Monthly |
🇯🇵 CPI Transport | 97.8 points | 97.7 points | Monthly |
🇯🇵 Export Prices | 140.2 points | 138.1 points | Monthly |
🇯🇵 Food Inflation | 3.6 % | 4.1 % | Monthly |
🇯🇵 GDP Deflator | 106.4 points | 109 points | Quarter |
🇯🇵 Import Prices | 166.9 points | 163.8 points | Monthly |
🇯🇵 Inflation Expectations | 2.4 % | 2.4 % | Quarter |
🇯🇵 Inflation Rate | 2.9 % | 2.3 % | Monthly |
🇯🇵 Inflation Rate MoM | 0.5 % | 0.2 % | Monthly |
🇯🇵 Producer Price Change | 2.4 % | 1.1 % | Monthly |
🇯🇵 Producer prices | 121.2 points | 120.8 points | Monthly |
🇯🇵 Rental inflation | 0.4 % | 0.4 % | Monthly |
🇯🇵 Service Inflation | 1.5 % | 1.5 % | Monthly |
🇯🇵 Tokyo Consumer Price Index | 2.3 % | 2.2 % | Monthly |
🇯🇵 Tokyo Consumer Price Index excluding Food and Energy | 1.5 % | 1.8 % | Monthly |
🇯🇵 Tokyo core consumer price index | 2.4 % | 2.2 % | Monthly |
In Japan, the Producer Price Inflation MoM indicates the month-over-month change in the prices of goods and services sold by manufacturers and producers in the wholesale market, as reported by Eulerpool.
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 Producer Price Inflation Month-over-Month (MoM)?
Producer Price Inflation (MoM), or Month-over-Month Producer Price Inflation, is a critical economic indicator that reflects the change in prices that domestic producers receive for their output from one month to the next. At Eulerpool, we understand the significance of such detailed macroeconomic data, and we strive to provide comprehensive, in-depth, and meticulously analyzed information to our users. This text aims to elucidate the intricacies of Producer Price Inflation (MoM), its implications, and the nuance it brings to economic analysis and decision-making. Producer Price Inflation (MoM) delves into the variations in the prices of goods sold by manufacturers, taking into account factors such as the cost of raw materials, energy prices, and labor expenses. The index serves as a direct measure of inflation at the wholesale level before it trickles down to the consumer level, thus acting as a precursor to consumer inflationary trends. This makes it an invaluable metric for economists, policymakers, and business leaders alike. To properly comprehend Producer Price Inflation (MoM), it's essential to understand how it is calculated. Typically, it involves comparing the prices of a comprehensive basket of goods from one month to the next, adjusting for seasonal variations and other anomalies. Economists and statisticians use sophisticated models to ensure that the data is accurate and representative of the underlying trends in producer prices. The U.S. Bureau of Labor Statistics (BLS) and similar agencies in other countries regularly publish these figures, facilitating a reliable gauge of price changes faced by domestic producers. One of the primary values of tracking Producer Price Inflation (MoM) lies in its predictive quality. Rising producer prices generally foreshadow increases in consumer prices. Therefore, analysts closely monitor this data to anticipate future inflationary pressures. This forward-looking aspect is particularly crucial for central banks in setting monetary policy, where understanding forthcoming inflation trends can influence decisions on interest rates and other policy measures. For instance, if the data indicates persistent upward trends in producer prices, it may prompt central banks to implement tighter monetary policies to temper potential consumer inflation. Moreover, businesses utilize MoM Producer Price Inflation data to make informed strategic decisions. For manufacturers, understanding the current landscape of input costs helps in planning production schedules, setting prices, and negotiating long-term contracts with suppliers. Similarly, retailers and distributors can adjust their pricing strategies to manage margins in light of expected cost changes. This anticipatory capacity allows businesses to maintain competitive edges and optimize their supply chains more effectively. For investors, MoM Producer Price Inflation is a valuable indicator of the broader economic health. Sharp variations in producer prices could signify underlying problems or opportunities within certain sectors. For example, a significant increase in the prices of raw materials or energy can severely impact sectors reliant on these inputs, such as manufacturing and transportation. Conversely, stable or declining producer prices may indicate favorable conditions for growth in these sectors. By incorporating this data into their macroeconomic models, investors can better predict market movements and align their portfolios accordingly. Understanding regional differences in Producer Price Inflation is also pivotal. Different economies may experience diverse inflationary pressures based on their unique industrial compositions, levels of economic development, and external economic conditions. For instance, emerging markets with rapid industrial expansion might face different producer price dynamics compared to developed economies with more stabilized production sectors. By analyzing these regional differences, economists can offer more localized insights and tailored policy recommendations. Furthermore, the interrelation between producer price inflation and global supply chain dynamics cannot be overstated. With the increasingly globalized nature of trade, fluctuations in producer prices often have international ripple effects. A spike in commodity prices, driven perhaps by geopolitical events or supply disruptions, can lead to higher production costs worldwide. Therefore, international stakeholders monitor the MoM Producer Price Inflation data to assess global market conditions and potential cross-border impacts on production costs. To make the most of the information that Producer Price Inflation (MoM) offers, it is essential to integrate this data with other economic indicators. Correlating it with consumer price indices (CPI), employment data, and gross domestic product (GDP) growth rates can provide a more holistic view of economic conditions. For example, if producer prices rise concurrently with wage growth and increased demand, it might suggest an overheating economy, necessitating preemptive policy interventions. Conversely, if producer price inflation increases amidst stagnant or declining demand, it could indicate cost-push inflation, where supply-side constraints are driving up prices rather than demand. At Eulerpool, our goal is to present this complex web of data and analysis in an accessible and comprehensible manner for our users. By providing regularly updated Producer Price Inflation (MoM) figures, supplemented with expert analysis and insights, we empower our users to make informed decisions. Whether you are an investor seeking to polish your market strategy, a business leader planning your next strategic move, or an academic delving into economic research, Eulerpool’s platform is designed to cater to diverse analytical needs. In summary, Producer Price Inflation (MoM) stands as a pivotal gauge of economic health, offering foresight into inflationary trends, aiding policy formulation, guiding business strategy, informing investment decisions, and reflecting global market interdependencies. At Eulerpool, we are committed to delivering high-quality, reliable, and insightful macroeconomic data, ensuring that our users are well-equipped to navigate the complexities of the economic landscape. Our dedication to precision and clarity underscores our ambition to be your trusted partner in economic analysis.