100+ datasets found
  1. Japan CDI: Index of Industrial Production: Mining and Manufacturing

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Japan CDI: Index of Industrial Production: Mining and Manufacturing [Dataset]. https://www.ceicdata.com/en/japan/leading-indicators-2010100/cdi-index-of-industrial-production-mining-and-manufacturing
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    Dataset updated
    May 15, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Variables measured
    Business Cycle Indicator
    Description

    Japan CDI: Index of Industrial Production: Mining and Manufacturing data was reported at 101.400 2010=100 in Sep 2018. This records a decrease from the previous number of 102.500 2010=100 for Aug 2018. Japan CDI: Index of Industrial Production: Mining and Manufacturing data is updated monthly, averaging 98.600 2010=100 from Jan 1975 (Median) to Sep 2018, with 525 observations. The data reached an all-time high of 117.300 2010=100 in Feb 2008 and a record low of 50.200 2010=100 in Mar 1975. Japan CDI: Index of Industrial Production: Mining and Manufacturing data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.S002: Leading Indicators: 2010=100.

  2. Taiwan Coincident Composite Index (CCI): sa: Industrial Production Index

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan Coincident Composite Index (CCI): sa: Industrial Production Index [Dataset]. https://www.ceicdata.com/en/taiwan/business-cycle-indicators-national-development-council/coincident-composite-index-cci-sa-industrial-production-index
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Business Cycle Indicator
    Description

    Taiwan Coincident Composite Index (CCI): sa: Industrial Production Index data was reported at 106.460 2016=100 in Jun 2018. This records a decrease from the previous number of 109.410 2016=100 for May 2018. Taiwan Coincident Composite Index (CCI): sa: Industrial Production Index data is updated monthly, averaging 69.655 2016=100 from Jan 1996 (Median) to Jun 2018, with 270 observations. The data reached an all-time high of 110.540 2016=100 in Mar 2018 and a record low of 40.970 2016=100 in Jan 1996. Taiwan Coincident Composite Index (CCI): sa: Industrial Production Index data remains active status in CEIC and is reported by National Development Council. The data is categorized under Global Database’s Taiwan – Table TW.S001: Business Cycle Indicators: National Development Council.

  3. T

    United States Industrial Production

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 17, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Industrial Production [Dataset]. https://tradingeconomics.com/united-states/industrial-production
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1920 - Jun 30, 2025
    Area covered
    United States
    Description

    Industrial Production in the United States increased 0.70 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. Manufacturing Purchasing Leader Index (PLI) in China by month 2023-2025

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Manufacturing Purchasing Leader Index (PLI) in China by month 2023-2025 [Dataset]. https://www.statista.com/statistics/1611615/china-manufacturing-purchasing-leader-index/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023 - Jun 2025
    Area covered
    China
    Description

    In June 2025, the Purchasing Leader Index (PLI) in China resided at about **** percent. An indicator of the economic health of the manufacturing sector, the PLI is based on five major indicators: new orders, inventory levels, production, supplier deliveries, and the employment environment. An index value above 50 percent indicates a positive development in the industrial sector, whereas a value below 50 percent indicates a negative situation. The PLI as a major economic indicator The Purchasing Leader Index was first introduced by the US-based Institute of Supply Management in 1948. It has become one of the most widely used and closely watched indicators of business activities worldwide. The PLI is not only an apt indicator for manufacturing growth, it also supports interest rate decisions of central bank institutions. PLI figures around the globe were dominated by the COVID-19 pandemic in 2020. In the Euro area, the PLI recovered from a considerable drop in April 2020, regaining pre-crisis level in June. In the United States, the monthly PLI indicated an even better improvement from low values in April and March. Recent PLI development in China As is shown in the graph at hand, the PLI of China as the world’s second-largest economy dropped considerably in February 2020 due to the coronavirus pandemic. In March, the index indicated a striking rebound and ranged at a level slightly above 50 index points afterwards. During 2021, the index was characterized by a slightly downward trend. In 2022, the index displayed an unstable development with two significant dips in April and December, finally concluding with a strong rebound in January 2023. The non-manufacturing PLI in China displayed a similar development.

  5. Key short-term economic indicators

    • db.nomics.world
    Updated Jun 13, 2025
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    DBnomics (2025). Key short-term economic indicators [Dataset]. https://db.nomics.world/OECD/DSD_KEI@DF_KEI
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    Dataset updated
    Jun 13, 2025
    Authors
    DBnomics
    Description

    The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

    Indicators have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, and these departures may impact on comparability between countries. There is an on-going process of review and revision of the contents of the database in order to maximise the relevance of the database for short-term economic analysis.

    OECD statistics contact

    Statistics and Data Directorate

  6. e

    OECD Main Economic Indicators, 1955-2021

    • b2find.eudat.eu
    • datacatalogue.cessda.eu
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    OECD Main Economic Indicators, 1955-2021 [Dataset]. https://b2find.eudat.eu/dataset/bd503f7e-39c9-56af-80cd-4677e39e58e0
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    Description

    Abstract copyright UK Data Service and data collection copyright owner. The Organisation for Economic Co-operation and Development (OECD) produces annual, quarterly and monthly data for main economic indicators (MEI). The variables cover national accounts, industrial production, employment, prices, business trends and trade for the member countries of the OECD and select non-member countries. The dataset also includes the OECD's leading indicators (key variables that signal changes in the business cycle).The OECD defines each variable separately for each country. Nevertheless, the data are considered sufficiently similar to enable comparisons between countries, especially for relative values and rates of change.These data were first provided by the UK Data Service in January 2003. Main Topics: The topics listed below correspond to the first OECD subject level:leading indicators (indicators that run 6-12 months ahead of GNP cycle)national accountsnational incomeproductionbusiness tendency surveysconsumer surveysmanufacturingconstructiondomestic demandemploymentunemploymentother labour market indicatorslabour compensationproducer pricesconsumer price indexother pricesmonetary aggregates and their components domestic credit and debtinterest ratessecurity issues share pricescurrency conversionsexternal financeforeign tradebalance of paymentscapital and financial accountsfinancial accountsnet errors and omissionsworld trade

  7. Manufacturing Purchasing Leader Index (PLI) in Taiwan monthly 2025

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Manufacturing Purchasing Leader Index (PLI) in Taiwan monthly 2025 [Dataset]. https://www.statista.com/statistics/1611641/taiwan-manufacturing-purchasing-leader-index/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023 - Jun 2025
    Area covered
    Taiwan
    Description

    In June 2025, the Purchasing Leader Index (PLI) in Taiwan resided at **** percent. An indicator of the economic health of the manufacturing sector, the PLI is based on five major indicators: new orders, inventory levels, production, supplier deliveries, and the employment environment. An index value above 50 percent indicates a positive development in the industrial sector, whereas a value below 50 percent indicates a negative situation.

  8. Purchasing Leader Index (PLI) in developed and emerging countries 2020-2024

    • statista.com
    Updated Aug 25, 2019
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    Jose Sanchez (2019). Purchasing Leader Index (PLI) in developed and emerging countries 2020-2024 [Dataset]. https://www.statista.com/study/65997/global-economic-indicators/
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    Dataset updated
    Aug 25, 2019
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    As of August 2024, the Purchasing Leader Index (PLI) was below 50 in all countries included except for the United Kingdom, Brazil, Russia, and India, indicating a decrease in industrial production. For example, the PLI in the Germany stood at 42.4 as of August 2024.The PLI is based on a survey of industrial companies in each country. It includes questions regarding production, incoming orders, employment, delivery times, and stock. A value of 50 is considered neutral, a value of over 50 points as an increase, and a value of less than 50 points as decrease of industrial production. The greater the deviation from 50 points, the greater the change.

  9. F

    Coincident Economic Activity Index for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 23, 2025
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    (2025). Coincident Economic Activity Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USPHCI
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    jsonAvailable download formats
    Dataset updated
    Jul 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Coincident Economic Activity Index for the United States (USPHCI) from Jan 1979 to Jun 2025 about coincident economic activity, indexes, and USA.

  10. China Industrial Production: Lead

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China Industrial Production: Lead [Dataset]. https://www.ceicdata.com/en/china/industrial-production/industrial-production-lead
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2023 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Industrial Production
    Description

    China Industrial Production: Lead data was reported at 737.000 Ton th in Mar 2025. This records an increase from the previous number of 690.000 Ton th for Dec 2024. China Industrial Production: Lead data is updated monthly, averaging 314.000 Ton th from Jan 1995 (Median) to Mar 2025, with 320 observations. The data reached an all-time high of 763.000 Ton th in Mar 2023 and a record low of 26.000 Ton th in Jan 1995. China Industrial Production: Lead data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production.

  11. g

    Data from: Should forecasters use real-time data to evaluate leading...

    • search.gesis.org
    Updated Jul 11, 2021
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    ZBW - Leibniz Informationszentrum Wirtschaft (2021). Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence [Dataset]. http://doi.org/10.15456/ger.2018033.131351
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    Dataset updated
    Jul 11, 2021
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de623889https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de623889

    Area covered
    Germany
    Description

    Abstract (en): In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.

  12. T

    United States - Relative Importance Weights (Contribution to the Total...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 7, 2020
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    TRADING ECONOMICS (2020). United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Copper, Nickel, Lead, and Zinc Mining (NAICS = 21223) [Dataset]. https://tradingeconomics.com/united-states/relative-importance-weight-contribution-to-the-total-industrial-production-index-copper-nickel-lead-and-zinc-mining-fed-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Nov 7, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Copper, Nickel, Lead, and Zinc Mining (NAICS = 21223) was 0.32% in June of 2025, according to the United States Federal Reserve. Historically, United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Copper, Nickel, Lead, and Zinc Mining (NAICS = 21223) reached a record high of 0.43 in June of 1974 and a record low of 0.06 in April of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Relative Importance Weights (Contribution to the Total Industrial Production Index): Mining, Quarrying, and Oil and Gas Extraction: Copper, Nickel, Lead, and Zinc Mining (NAICS = 21223) - last updated from the United States Federal Reserve on August of 2025.

  13. T

    INDUSTRIAL PRODUCTION by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 20, 2013
    + more versions
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    TRADING ECONOMICS (2013). INDUSTRIAL PRODUCTION by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/industrial-production
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 20, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for INDUSTRIAL PRODUCTION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  14. T

    India Industrial Production

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 28, 2025
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    TRADING ECONOMICS (2025). India Industrial Production [Dataset]. https://tradingeconomics.com/india/industrial-production
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 30, 1994 - Jun 30, 2025
    Area covered
    India
    Description

    Industrial Production in India increased 1.50 percent in June of 2025 over the same month in the previous year. This dataset provides - India Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. Monthly output index of industrial production in Italy 2019-2024

    • statista.com
    • ai-chatbox.pro
    Updated Aug 30, 2024
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    Lorenzo Macchi (2024). Monthly output index of industrial production in Italy 2019-2024 [Dataset]. https://www.statista.com/topics/5964/key-indicators-of-italy-s-economy/
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    Dataset updated
    Aug 30, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Lorenzo Macchi
    Area covered
    Italy
    Description

    The industrial production index measures the monthly evolution of the volume of industrial production, excluding construction. As of September 2024, the seasonally adjusted industrial production index stood at 94, remaining stable compared to the previous months. Due to the COVID-19 pandemic, the index plummeted between March and August 2020.

  16. Consumer opinion surveys

    • db.nomics.world
    Updated Jun 6, 2025
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    DBnomics (2025). Consumer opinion surveys [Dataset]. https://db.nomics.world/OECD/DSD_STES@DF_CS
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    Dataset updated
    Jun 6, 2025
    Authors
    DBnomics
    Description

    The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.

    Consumer opinion surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of households and respondents are asked about their assessments of the current situation and expectations for the immediate future. In the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators. The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.Virtually all consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.

    OECD statistics contact

    Statistics and Data Directorate

  17. China CN: Industrial Production: YoY: ytd: Lead

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Industrial Production: YoY: ytd: Lead [Dataset]. https://www.ceicdata.com/en/china/industrial-production-period-on-period-change/cn-industrial-production-yoy-ytd-lead
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2017 - Mar 1, 2018
    Area covered
    China
    Variables measured
    Industrial Production
    Description

    China Industrial Production: YoY: Year to Date: Lead data was reported at 9.500 % in Jun 2018. This records a decrease from the previous number of 9.600 % for May 2018. China Industrial Production: YoY: Year to Date: Lead data is updated monthly, averaging 9.350 % from Jan 1997 (Median) to Jun 2018, with 242 observations. The data reached an all-time high of 61.400 % in Jan 1999 and a record low of -8.800 % in Nov 2015. China Industrial Production: YoY: Year to Date: Lead data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Period on Period Change.

  18. Y-o-Y industrial production growth rate in Italy 2024, by industrial...

    • statista.com
    • ai-chatbox.pro
    Updated Jan 22, 2025
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    Statista (2025). Y-o-Y industrial production growth rate in Italy 2024, by industrial groupings [Dataset]. https://www.statista.com/statistics/1097916/year-on-year-industrial-production-growth-index-by-industrial-groupings-in-italy/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    In November 2024, industrial production in Italy overall decreased by 1.5 percent compared to November 2023. Manufacturing of transport equipments and petroleum products recorded a drop by more than ten percent. On the contrary, electricity, and pharmaceuticals registered the highest growth rates. Impact on consumption and production The spring of 2020 recorded a very sharp decrease in industrial production and consumption. In terms of industrial production, some of the most impacted sectors by the coronavirus were the manufacture of textiles, apparel, leather, and accessories, as well as the manufacture of transport equipment. Similarly, consumption volume increased in March 2021 compared to one year ago. During the pandemic, the sectors of air transportation and leisure activities saw some of the largest drops in consumption. Recovery after COVID-19 Italy's economy has been strongly hit by the coronavirus pandemic, with Italy's GDP dropping consistently in 2020. Additionally, Italian exports are estimated to have decreased by over 15 percent. However, 2021 seems to be a year of recovery. The GDP is estimated to grow from three to four percent. The exports and imports are going to increase as well. Nevertheless, the next two years might experience an increase in unemployment rate, particularly during 2021.

  19. Index of industrial production Vietnam Q1 2024, by selected industry

    • statista.com
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    Statista, Index of industrial production Vietnam Q1 2024, by selected industry [Dataset]. https://www.statista.com/statistics/1396094/vietnam-index-of-industrial-production-by-selected-industry/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    As of the first quarter of 2024, the general index of industrial production (IIP) in Vietnam was ***** points. In particular, electricity, gas, steam, and air conditioning supply was the leading industry with an IIP of ***** points compared to the previous year.

  20. H

    Blue Chip Economic Indicators

    • dataverse.harvard.edu
    Updated Mar 5, 2025
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    Joseph Aguinaldo (2025). Blue Chip Economic Indicators [Dataset]. http://doi.org/10.7910/DVN/M2WNLO
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Joseph Aguinaldo
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.0/customlicense?persistentId=doi:10.7910/DVN/M2WNLOhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/6.0/customlicense?persistentId=doi:10.7910/DVN/M2WNLO

    Time period covered
    Jan 1, 1976 - Dec 31, 2024
    Description

    Blue Chip Economic Indicators - Monthly surveys of top analysts at some of America’s largest manufacturers, banks, insurance companies, and brokerage firms about their insights on U.S. economic growth, inflation, interest rates, and a host of other critical indicators of future business activity – including GDP (Gross Domestic Product), Consumer Price Index (CPI), industrial production, income, corporate profits, treasury bill rates, unemployment rates, housing starts and vehicle sales. Blue Chip Economic Indicators provides forecasts for this year and next from each panel member, plus an average or consensus, of their forecasts for each variable—there also are five to nine quarters of quarterly forecasts. DATA AVAILABLE FOR YEARS: 1976-2024

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CEICdata.com (2018). Japan CDI: Index of Industrial Production: Mining and Manufacturing [Dataset]. https://www.ceicdata.com/en/japan/leading-indicators-2010100/cdi-index-of-industrial-production-mining-and-manufacturing
Organization logo

Japan CDI: Index of Industrial Production: Mining and Manufacturing

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Dataset updated
May 15, 2018
Dataset provided by
CEIC Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jun 1, 2017 - May 1, 2018
Variables measured
Business Cycle Indicator
Description

Japan CDI: Index of Industrial Production: Mining and Manufacturing data was reported at 101.400 2010=100 in Sep 2018. This records a decrease from the previous number of 102.500 2010=100 for Aug 2018. Japan CDI: Index of Industrial Production: Mining and Manufacturing data is updated monthly, averaging 98.600 2010=100 from Jan 1975 (Median) to Sep 2018, with 525 observations. The data reached an all-time high of 117.300 2010=100 in Feb 2008 and a record low of 50.200 2010=100 in Mar 1975. Japan CDI: Index of Industrial Production: Mining and Manufacturing data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.S002: Leading Indicators: 2010=100.

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