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

This statistic describes the hourly labor cost across India in 2006 and 2015. The hourly labor cost across India was approximately *** U.S. dollars per hour in 2015, up from about **** U.S. dollars per hour across the country in 2006.

ASI: Labour Cost per Manday Worked: All Employees: Tamil Nadu data was reported at 1,136.360 INR in 2023. This records an increase from the previous number of 1,087.730 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Tamil Nadu data is updated yearly, averaging 491.975 INR from Mar 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,136.360 INR in 2023 and a record low of 191.990 INR in 2000. ASI: Labour Cost per Manday Worked: All Employees: Tamil Nadu data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

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

ASI: Labour Cost per Manday Worked: All Employees: Kerala data was reported at 1,258.940 INR in 2023. This records an increase from the previous number of 1,228.170 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Kerala data is updated yearly, averaging 447.505 INR from Mar 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,258.940 INR in 2023 and a record low of 206.780 INR in 2000. ASI: Labour Cost per Manday Worked: All Employees: Kerala data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

The overall employee cost index in textile sector across India as per the Wazir Textile Index in first half of fiscal year 2020 was *****. There was a constant increase in the employee cost index over the years. Wazir Textile Index developed by Wazir Advisors was based on the overall financial performance of the textile sector on a continuous basis.

Mumbai had the highest daily wages for skilled laborers in India as of December 2022, paying them *** Indian rupees per day. In contrast, Hyderabad had the lowest daily wages for this category of workers, offering only *** Indian rupees per day.

ASI: Labour Cost per Manday Worked: All Employees: All India data was reported at 703.230 INR in 2013. This records an increase from the previous number of 607.330 INR for 2012. ASI: Labour Cost per Manday Worked: All Employees: All India data is updated yearly, averaging 337.450 INR from Mar 2000 (Median) to 2013, with 14 observations. The data reached an all-time high of 703.230 INR in 2013 and a record low of 238.490 INR in 2000. ASI: Labour Cost per Manday Worked: All Employees: All India data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBB043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

ASI: Labour Cost per Manday Worked: All Employees: Delhi data was reported at 1,341.910 INR in 2023. This records an increase from the previous number of 1,320.610 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Delhi data is updated yearly, averaging 687.515 INR from Mar 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,341.910 INR in 2023 and a record low of 250.510 INR in 2001. ASI: Labour Cost per Manday Worked: All Employees: Delhi data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

India ASI: Labour Cost per Manday Worked: All Employees: Manufacturing: Footwear data was reported at 401.880 INR in 2013. This records an increase from the previous number of 360.030 INR for 2012. India ASI: Labour Cost per Manday Worked: All Employees: Manufacturing: Footwear data is updated yearly, averaging 334.610 INR from Mar 2009 (Median) to 2013, with 5 observations. The data reached an all-time high of 401.880 INR in 2013 and a record low of 236.820 INR in 2009. India ASI: Labour Cost per Manday Worked: All Employees: Manufacturing: Footwear data remains active status in CEIC and is reported by Labour Bureau Government of India. The data is categorized under India Premium Database’s Labour Market – Table IN.GBB044: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by Industries: NIC 2008.

In financial year 2023, Kerala offered the highest average daily wages for male field labor in India, reaching *** Indian rupees. Simultaneously, female labor in Kerala received daily wages of approximately *** rupees. These rates surpassed the national averages significantly. Chhattisgarh ranked lowest during the same time period.

ASI: Labour Cost per Manday Worked: All Employees: Maharashtra data was reported at 1,709.830 INR in 2023. This records an increase from the previous number of 1,614.940 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Maharashtra data is updated yearly, averaging 814.205 INR from Mar 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 1,709.830 INR in 2023 and a record low of 340.020 INR in 2000. ASI: Labour Cost per Manday Worked: All Employees: Maharashtra data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

ASI: Labour Cost per Manday Worked: All Employees: Bihar data was reported at 828.960 INR in 2023. This records an increase from the previous number of 780.990 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Bihar data is updated yearly, averaging 342.425 INR from Mar 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 828.960 INR in 2023 and a record low of 229.530 INR in 2005. ASI: Labour Cost per Manday Worked: All Employees: Bihar data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

Data in table tells us about the year-wise Consumer price index number for industrial workers. Parameters used to classify data in the table are: Clothing,bedding,footwear, Food and General. The specific weightage of these parameters is also calculated as percentage of whole. Data is gathered from 2007-2016 for Indian States and UTs and also for All India.

Note: The total of the respective weights may not tally as the original weight are calculated to six places of decimals whereas the weights given here are rounded to two places of decimals.

ASI: Labour Cost per Manday Worked: All Employees: Uttaranchal data was reported at 1,067.940 INR in 2023. This records an increase from the previous number of 1,014.830 INR for 2022. ASI: Labour Cost per Manday Worked: All Employees: Uttaranchal data is updated yearly, averaging 531.310 INR from Mar 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 1,067.940 INR in 2023 and a record low of 395.610 INR in 2008. ASI: Labour Cost per Manday Worked: All Employees: Uttaranchal data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Labour Market – Table IN.GBD043: Annual Survey of Industries: Labour Cost per Manday Worked: All Employees: by States.

Data in table tells us about the year-wise Consumer price index numbers for agricultural labourers and rural labourers. The two categories mentioned in the table are- general and food items for all the Indian States and UTs from 2005-06 to 2016-17. The specific weight of each index type- general and food is also calculated.

Notes: 1.The linking factor at All India level for conversion of current series on base 1986-87=100 to old base 1960-61=100 is 5.89 for General Index and 6.38 for Food Index in respect of Indices of Agricultural Labourers. 2. Agricultural Year = July to June

In 2022, it was estimated that poor mental health among employees would cost Indian employers around ***** billion Indian rupees. Cost of employee presenteeism amounted to about *** billion Indian rupees of the total cost. On the other hand, the cost of absenteeism amounted to *** billion rupees.

Consumer Price Index (CPI): Industrial Workers: Goa data was reported at 354.000 2001=100 in Aug 2020. This records a decrease from the previous number of 355.000 2001=100 for Jul 2020. Consumer Price Index (CPI): Industrial Workers: Goa data is updated monthly, averaging 133.000 2001=100 from Jan 1995 (Median) to Aug 2020, with 305 observations. The data reached an all-time high of 355.000 2001=100 in Jul 2020 and a record low of 58.000 2001=100 in Jan 1995. Consumer Price Index (CPI): Industrial Workers: Goa data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under Global Database’s India – Table IN.IF009: Consumer Price Index: Industrial Workers: 2001=100: by Centre-wise.

Abstract

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess and evaluate, objectively and realistically, the changes in the growth, composition and structure of organized manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. The survey has so far been conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 1953 and the rules framed there-under in 1959 except in the State of Jammu & Kashmir where it is conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964. From ASI 2010-11 onwards, the survey is to be conducted annually under the statutory provisions of the Collection of Statistics (COS) Act, 2008 and the rules framed there-under in 2011 except in the State of Jammu & Kashmir where it is to be conducted under the J&K Collection of Statistics Act, 1961 and rules framed there under in 1964.

ASI schedule is the basic tool to collect required data for the factories registered under Sections 2(m)(i) and 2(m)(ii) of the Factories Act, 1948. The schedule for ASI, at present, has two parts. Part-I of ASI schedule, processed at the CSO (IS Wing), Kolkata, aims to collect data on assets and liabilities, employment and labour cost, receipts, expenses, input items: indigenous and imported, products and by-Products, distributive expenses, etc. Part-II of ASI schedule is processed by the Labour Bureau. It aims to collect data on different aspects of labour statistics, namely, working days, man-days worked, absenteeism, labour turnover, man-hours worked etc.

Geographic coverage

The ASI extends its coverage to the entire country upto state level.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design adopted in ASI has undergone considerable changes from time to time, taking into account the technical and other requirements. From ASI 2016-17, a new sampling design is adopted following the recommendations of the Sub-Group of the SCIS under the Chairmanship of Dr. G.C. Manna and approved by the SCIS and the National Statistical Commission (NSC) subsequently. According to the new sampling design, all the units in the updated frame are divided into two parts - Central Sample and State Sample. The Central Sample consists of two schemes: Census and Sample. Under Census scheme, all the units are surveyed. (1) Census Scheme: (i) All industrial units belonging to the seven less industrially developed States/ UTs viz. Arunachal Pradesh, Manipur, Meghalaya, Nagaland, Sikkim, Tripura and Andaman & Nicobar Islands. (ii) For the States/ UTs other than those mentioned in (i), (a) units having 75 or more employees from six States, namely, Jammu & Kashmir, Himachal Pradesh, Rajasthan, Bihar, Chhattisgarh and Kerala; (b) units having 50 or more employees from three States/UTs, namely, Chandigarh, Delhi and Puducherry; (c) units having 100 or more employees for rest of the States/UTs, not mentioned in (a) and (b) above and; (d) all factories covered under 'Joint Return' (JR), where JR should be allowed when the two or more units located in the same State/UT, same sector and belongto the same industry (3-digit level of NIC-2008) under the same management. (iii) After excluding the Census Scheme units in the above manner, all units belonging to the strata (State x District x Sector x 3 digit NIC-2008) having less than or equal to 4 units are also considered under Census Scheme. It may be noted that strata are separately formed under three sectors considered as Bidi, Manufacturing and Electricity.

(2) All the remaining units in the frame are considered under Sample Scheme. For all the states, each stratum is formed on the basis of State x District x Sector x 3-digit NIC-2008. The units are arranged in descending order of their total number of employees. Samples are drawn using Circular Systematic Sampling technique for this scheme. An even number of units with a minimum of 4 units are selected and distributed in four sub-samples. It may be noted that in certain cases each of 4 sub-samples from a particular stratum may not have equal number of units. (3) Out of these 4 sub-samples, two pre-assigned sub-samples (1 & 3) are given to NSSO (FOD) and the other two-subsamples (2 & 4) are given to concerned State/UT for data collection. (4) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) are treated as the Central Sample. (5) All census units plus all the units belonging to the two sub-samples given to State/UT are treated as the State Sample. Hence, State/UT has to use Census Units (collected by NSSO (FOD) and processed by CSO (IS Wing)) along with their sub-samples while deriving the state level estimates for their respective State/UT based on State Sample. (6) All census units plus all the units belonging to the two sub-samples given to NSSO (FOD) plus all the units belonging to the two sub-samples given to State/UT are required for obtaining pooled estimates based on Central Sample and State Sample with increased sample size.

Mode of data collection

Face-to-face [f2f]

Research instrument

Annual Survey of Industries Questionnaire is divided into different blocks:

BLOCK A.IDENTIFICATION BLOCK - This block has been designed to collect the descriptive identification of the sample enterprise. The items are mostly self-explanatory.

BLOCK B. TO BE FILLED BY OWNER OF THE FACTORY - This block has been designed to collect the particulars of the sample enterprise. This point onwards, all the facts and figures in this return are to be filled in by owner of the factory.

BLOCK C: FIXED ASSETS - Fixed assets are of a permanent nature having a productive life of more than one year, which is meant for earning revenue directly or indirectly and not for the purpose of sale in ordinary course of business. They include assets used for production, transportation, living or recreational facilities, hospital, school, etc. Intangible fixed assets like goodwill, preliminary expenses including drawing and design etc are excluded for the purpose of ASI. The fixed assets have, at the start of their functions, a definite value, which decreases with wear and tear. The original cost less depreciation indicates that part of value of fixed assets, which has not yet been transferred to the output. This value is called the residual value. The value of a fixed asset, which has completed its theoretical working life should always be recorded as Re.1/-. The revalued value is considered now. But depreciation will be taken on original cost and not on revalued cost.

BLOCK D: WORKING CAPITAL & LOANS - Working capital represents the excess of total current assets over total current liabilities.

BLOCK E : EMPLOYMENT AND LABOUR COST - Particulars in this block should relate to all persons who work in and for the establishment including working proprietors and active business partners and unpaid family workers. However, Directors of incorporated enterprises who are paid solely for their attendance at meeting of the Board of Directors are to be excluded.

BLOCK F : OTHER EXPENSES - This block includes the cost of other inputs as both the industrial and nonindustrial service rendered by others, which are paid by the factory and most of which are reflected in the ex-factory value of its production during the accounting year.

BLOCK G : OTHER INCOMES - In this block, information on other output/receipts is to be reported.

BLOCK H: INPUT ITEMS (indigenous items consumed) - This block covers all those goods (raw materials, components, chemicals, packing material, etc.), which entered into the production process of the factory during the accounting year. Any material used in the production of fixed assets (including construction work) for the factory's own use should also be included. All intermediate products consumed during the year are to be excluded. Intermediate products are those, which are produced by the factory but are, subjected to further manufacture. For example, in a cotton textile mill, yarn is produced from raw cotton and the same yarn is again used for manufacture of cloth. An intermediate product may also be a final product in the same factory. For example, if the yarn produced by the factory is sold as yarn, it becomes a final product and not an intermediate product. If however, a part of the yarn produced by a factory is consumed by it for manufacture of cloth, that part of the yarn so used will be an intermediate product.

BLOCK I: INPUT ITEMS - directly imported items only (consumed) - Information in this block is to be reported for all imported items consumed. The items are to be imported by the factory directly or otherwise. The instructions for filling up of this block are same as those for Block H. All imported goods irrespective of whether

This statistic illustrates the year over year change in employee costs for companies across India from fiscal year 2012 to fiscal year 2016. The year over year change in employee costs across the country was *** percent in fiscal year 2016.