Abstract

Comparison of economic performance over time is a key factor in economic analysis and a fundamental requirement for policy-making. Short-term indicators play an important role in this context by providing such comparison indicators. Among the short-term indicators, the Index of Industrial Production (IIP) has historically been one of the most well-known and well-used indicators. The all India IIP is a composite indicator that measures the short-term changes in the volume of production of a basket of industrial products during a given period with respect to that in a chosen base period. It is compiled and published monthly by the Central Statistics Office (CSO) with a time lag of six weeks from the reference month.

Geographic coverage

Industrial Coverage: Although UNSD guidelines state that IIP is to be compiled for activities in ISIC Rev. 4 Sections B, C, D and E, i.e. (i) Mining and quarrying, (ii) Manufacturing, (iii) Electricity, Gas, Steam and Air-conditioning supply and (iv) Water supply, Sewerage, Waste management and Remediation activities, due to constraints of the data availability and other resources, the index is being compiled with (i) Mining, (ii) Manufacturing and (iii) Electricity as scope of All India IIP. In the current base year (i.e. 2011-12), the index covers 839 items clubbed into 407 item groups under three sectors i.e. Mining (29 items clubbed into 1 item group), Manufacturing (809 items clubbed into 405 item groups) and Electricity (1 item) with weights of 14.37%, 77.63% and 7.99% respectively.

The mining sector covers 29 items under different headings viz. Fuel Minerals, Metallic Minerals and Non-Metallic Minerals. This sector also includes Crude Petroleum, Natural Gas, Coal and Lignite. The manufacturing sector covers 809 items under different groups e.g. Food products, Beverages, Textiles, Chemicals and chemical products etc. The Electricity sector is treated as a single item.

Product Coverage: Within an industry the products are covered on the basis of the concepts of Primary (Main) Product as well as Secondary (By) Product. All those items which represent at least 80% of the output within each industry group, i.e., 3-digit industry of NIC-2008 (based on ISIC 4) have been included in the Item basket. Essential products like tea, coffee, salt and sugar have been included. The over-riding criteria for finalization of item basket have been the regular monthly flow of production data from the source agencies/collection authorities.

Analysis unit

Frame for coverage of units is decided by the source agencies which collect data from the factories. For compilation of IIP both large and medium factories are covered for collection of data by the source agencies.

Mode of data collection

The sample size for data collection is decided by the source agencies. Generally, efforts are made to cover all the major units.

statistical techniques :

Procedures for Non-Response: In India, the Index of Industrial Production is based on the responded production as well as estimated production for non-responding units. The production estimates for the non-responding units are developed using various methods including: repetition of last available data; taking the average production data for the last few months; using previous year's growth rate; etc. The appropriate estimation procedure is decided by the source agencies themselves in consultation with CSO. Treatment of Missing Production: The index is compiled on the basis of the data on a fixed number of items collected from the source agencies which in turn collect the data from different factories and estimate the data on their own, as per the requirements. Selection of Replacement Items: Replacement of items is not done at present. Introducing New Units and Products: New units/ new products are included only at the time of the revision of base year.

Other statistical procedures : The production figures, if not reported by all the units in the current month due to any reason, are estimated for the current month and revised subsequently in the next month, and finally in the third month on the basis of which the final indices for a month are calculated.

Nature of Weights: The weights for the three sectors (mining, manufacturing, and electricity) are based on share of the sector in total domestic production in the base year. The overall weight of the manufacturing sector is apportioned to the industry groups at the 2-digit, 3-digit- and 4-digit level of the National Industrial Classification (NIC) 2008, on the basis of the Gross Value Added (GVA). The weighting diagram for the current series of IIP is prepared on the basis of GVA up to the 2-digit, 3 and 4 digit level of NIC based on the results of ASI 2011- 12. At the final level (i.e. 5 digit level of NIC), weights to items have been distributed on the basis of Gross Value of Output (GVO). The weights of selected items within an industry group are apportioned on the basis of the value of output.

Period of Current Index Weights: The current index weights are based on the value of production of the industries during the base year period viz. April, 2011 to March 2012 as reported in the Annual Survey of Industries for the year 2011-12. The same weights are used until the revision of the base year is done.

Frequency of Weight Updates: The weights are revised with every revision of the base year. The base year was revised to 2011-12 from 2004-05 in May 2017. Efforts would be made to revise the base year once in every five years as per UNSD's recommendations (the previous base years of the index were 2004-05, 1993-94, 1980-81, 1970, 1956, 1951 and 1946).

• Computation of lowest level indices: The lowest level, for which an index is prepared, is the item group. It is compiled as the ratio of production quantity in the current month with respect to its average monthly production quantity in the base year.

• Aggregation: The IIP is calculated using the Laspeyres formula as a weighted arithmetic average of production relatives. The index is primarily quantity based, although for some item groups the quantity relatives are obtained by price deflation.

The index at group level/ 2-digit level of NIC is compiled by using the Laspeyeres' formula, i.e. I = Uppercase sigma(Wi*Ri)/ Uppercase sigm(Wi) where Ri is the production relative and Wi is the weight of an item.

The index is prepared for each two-digit level of NIC. Also the index is prepared on the basis of the following use-based classification: Primary Goods, Capital Goods, Intermediate Goods, Infrastructure/ Construction Goods, Durable Consumer Goods and Non-Durable Consumer Goods.

• Alignment of Value of Weights and Base Period: No alignment of the weights is required as the weights as well as the base year production relate to the same reference period viz. April, 2011 to March 2012.

-- Linking of Re-weighted Index to Historical Index: Whenever there is change in the base year, the new series can be linked with the old series by preparing linked series. For the common period, the index series are available with both old weights & new weights for linking the two series.

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.

The Index of Industrial Production (IIP) is an index for India which details out the growth of various sectors in an economy such as mining, electricity and manufacturing. The all India IIP is a composite indicator that measures the short-term changes in the volume of production of a basket of industrial products during a given period with respect to that in a chosen base period. It is compiled and published monthly by the Central Statistical Organisation (CSO) six weeks after the reference month ends. This indicator is of paramount importance to the Government for policy planning and analysis purposes. The level of the Index of Industrial Production (IIP) is an abstract number, the magnitude of which represents the status of production in the industrial sector for a given period of time as compared to a reference period of time. The base year is 2004-2005.

Industrial Production in India increased 3.20 percent in May of 2025 over the previous month. This dataset provides the latest reported value for - India Industrial Production MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about India Industrial Production Index Growth

• India Industrial production rose 5.0 % YoY in Jan 2025, following an increase of 3.5 % YoY in the previous month.
• India Industrial production index growth rate YoY data is updated monthly, available from Apr 2006 to Jan 2025, with an average rate of 4.4 %.
• The data reached an all-time high of 133.5 % in Apr 2021 and a record low of -57.3 % in Apr 2020.

CEIC calculates Industrial Production Index Growth from monthly Industrial Production Index. Ministry of Statistics and Programme Implementation provides Industrial Production Index with base 2011-2012=100. Industrial Production Index covers Mining, Manufacturing and Electricity sectors. Industrial Production Index Growth prior April 2013 is calculated from Industrial Production Index with base 2004-2005=100.

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.

Industrial Production in Vietnam increased 10.80 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Vietnam Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued In Mexico data was reported at 13.481 USD bn in Dec 2018. This records a decrease from the previous number of 15.921 USD bn for Sep 2018. IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued In Mexico data is updated quarterly, averaging 15.353 USD bn from Mar 2009 (Median) to Dec 2018, with 40 observations. The data reached an all-time high of 49.601 USD bn in Jun 2014 and a record low of 581.672 USD mn in Jun 2009. IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued In Mexico data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.JB005: International Investment Position: BPM6.

Industrial Production in China increased 6.80 percent in June of 2025 over the same month in the previous year. This dataset provides - China Industrial Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mexico IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued Abroad data was reported at 153.143 USD bn in Dec 2018. This records an increase from the previous number of 151.604 USD bn for Sep 2018. Mexico IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued Abroad data is updated quarterly, averaging 92.902 USD bn from Mar 2009 (Median) to Dec 2018, with 40 observations. The data reached an all-time high of 153.235 USD bn in Jun 2018 and a record low of 50.490 USD bn in Mar 2009. Mexico IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued Abroad data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.JB005: International Investment Position: BPM6.

Graph and download economic data for U.S. Net International Investment Position (IIPUSNETIQ) from Q1 2006 to Q1 2025 about investment, Net, and USA.

Abstract

The Census of Industrial Production (CIP) and construction was carried out from July to October 2018. The census aimed at providing key statistics to be used for development of the structure of the industrial sector; rebasing of the producer price index, compilation of Supply and Use tables, Input-Output tables, Value Added and other National Accounts statistics and industrial exports and imports for the balance of payments statistics. Whereas, the last CIP was conducted in 2010 with 2009 as the reference year, the 2018 CIP reference year was 2017.

Data collected in the census included general particulars of establishments/enterprises, employment, labour costs, income, expenditure, goods and materials consumed, goods produced, fixed assets, imports, exports, waste management, ICT usage and the general business environment. The Census therefore sought to: i. Provide information for mining and quarrying, manufacturing, electricity and gas supply, water and sewerage, and construction sectors to be used in revision and rebasing of the National Accounts. ii. Form the basis for revisions and rebasing of key indices such as the Index of Industrial Production (IIP) and the Production Price Index (PPI). iii. Collect data to be used to update the sampling register for the annual Survey of Industrial Production, Monthly Survey of Industrial Production and rebasing of the Construction Input Price Index (CIPI). iv. Provide data for computing baseline export/import price indices for the industrial sector. v. Provide updated information to monitor the growth and the gains in fish processing, agro-Processing, leather and textiles sub-sectors which have been put on focus in realization of the Government increase of manufacturing contribution to GDP which is one of its big four action plans.

Specifically, the CIP 2018 set to;

i. Provide benchmark data to update economic structure of the industrial sector from the CIP 2010 level, To provide data on Industrial Structure; Update the current frame which was last developed in 2009; Improve quality of industrial data through broadening of statistical database to cater for changes that have taken place since 2009. ii. Establish an industrial database and update the register which will monitor and reflect changes in the structure of industry and provide a frame for industrial surveys. iii. Provide data for use in compilation of Supply and Use Tables, input-output tables and other national accounts statistics. iv. Provide data for industrial output, and capacity utilization. v. Provide measures of key statistics and the economic structure for the construction sector Provide data for computing baseline export/import price indices for the industrial sector. vi. Provide data for rebasing the Producer Price Index (PPI), the Index of Industrial Production (IIP) and the Construction Input Price Indices (CIPI) vii. Provide a basis for assessing trends in the economy and the contribution of industrial activities to the national economy.

Geographic coverage

National coverage

Analysis unit

Formal establishments that were involved in Industrial production activities across all the 47 counties

MESA input and output files associated with the published journal article Wagle et al. (2020; doi:10.3847/1538-4357/ab8bd5). We used MESA version r-10398 and MESA SDK version 20180822 to run these models.

The "MESA_inputs.tar.gz" file contains work directories for initial mass of 13 solar mass and several overshoot parameter (f) values as listed in Table 2 of the published article. The models can be run directly from each working directory ("f_*") by making (./mk) and then running MESA (./rn), after instantiating MESA SDK. The run-script ("rn") is modified to start a MESA run from the pre-main-sequence (preMS) stage through core-collapse (CC) stage, if the LOGS and photos directories are absent. Otherwise, it restarts MESA from the latest "photo" binary file saved in the photos directory (that is, it assumes that the previous run was interrupted and restarts the run. So, to start a fresh run delete the "LOGS" and "photos" directories.) Each working directory has "run_star_extras.f" file which is modified to save the compactness parameters, mu_4, M_4 as extra history columns, as well as, to implement additional temporal resolution constraints as explained in section 2.2 of the article. Any other combination of mass and f-value from Table 2 of the article can be run by changing initial_mass in "inlist_control" file, and overshoot values in "inlist_f*" file.

Each "*M_z0.006_f_*.tar.xz" file has a "LOGS" directory that contains corresponding "history.data", "profile.data" at core-collapse (CC) stage and saved model ("*.mod") at CC stage for each mass and f-value combination from Table 2 of the paper. (Note: Please copy the tar.xz files for each mass in a separate folder before decompressing them, in order to avoid overwriting the folders with the same f-values.) The LOGS directory also contains a folder "png_plots" that has saved ".png" files generated by "inlist_pgstar". These files can be used to generate stellar evolution movies using the "images_to_movie.sh" script available in the MESA SDK.

Industrial Production in Germany increased 1 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Germany Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mexico IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued Abroad data was reported at 0.000 USD mn in Dec 2018. This stayed constant from the previous number of 0.000 USD mn for Sep 2018. Mexico IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued Abroad data is updated quarterly, averaging 0.000 USD mn from Mar 2009 (Median) to Dec 2018, with 40 observations. The data reached an all-time high of 0.000 USD mn in Dec 2018 and a record low of 0.000 USD mn in Dec 2018. Mexico IIP: Liabilities: PI: DS: NFP: ST: Bonds and Notes Issued Abroad data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.JB005: International Investment Position: BPM6.

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.

IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued In Mexico data was reported at 91.209 USD bn in Dec 2018. This records a decrease from the previous number of 100.315 USD bn for Sep 2018. IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued In Mexico data is updated quarterly, averaging 97.456 USD bn from Mar 2009 (Median) to Dec 2018, with 40 observations. The data reached an all-time high of 116.308 USD bn in Sep 2014 and a record low of 18.858 USD bn in Mar 2009. IIP: Liabilities: PI: DS: NFP: LT: Bonds and Notes Issued In Mexico data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.JB005: International Investment Position: BPM6.

This dataset FDI positions main aggregates, BMD4 is updated every quarter and includes annual aggregate Foreign Direct Investment (FDI) positions for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in International Investment Position (IIP) accounts.

FDI positions record the total level of direct investment at a given point in time, usually the end of a quarter or of a year.

In this dataset, FDI positions are presented on two different basis:

• the asset/liability presentation: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.
• the directional presentation: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.

For more details on the difference between the two presentations, see the OECD note Implementing latest international standards-Asset liability versus directional presentation

FDI positions aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.

In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:

• the OECD’s Benchmark Definition of FDI, 4th edition (BMD4); and
• the IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)

This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.

Historical and unrevised series of FDI positions aggregates under the previous BMD3 methodology can be accessed in the archived dataset FDI series of BOP and IIP aggregates

The World and Country Group Aggregates (historically called BOPSY) is an annual publication, released each November, of major balance of payments and international investment position components for countries, country groups, and the world. BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources. Details on the methodology are available at Sixth edition of the IMF's Balance of Payments and International investment Position Manual (http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm)

Industrial Production in France decreased 0.80 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - France Industrial Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.