The share of employable women in India in 2025 saw a decrease from the previous year. Men accounted for about ** percent of employability that year. In fact, a larger share of women than men have constituted India’s employable talent since 2020 until a drop in 2025. Employability refers to a person's ability to gain and maintain employment. India’s professional talent pool Indian corporations and employers found a rich supply of highly employable graduates in states such as Maharashtra and Delhi. The demand for professionals with a year or more of working experience outweighed that of graduates without experience, thus, driving up the preference for internships. Some of the most employable candidates in 2024 were graduates with degrees in engineering, business administration and computer applications. Employability does not translate to employment However, higher employability did not translate to employment as was indicated by the country’s youth unemployment rate. Gender gap in participation at work has also persisted over the years. In addition to skill training, more jobs need to be created to absorb the growing unemployed and underemployed youth.

The growth rate in Surat was approximately 5.9 percent during 2014 and 2016, while the growth rate in Bangalore was around 3.7 percent during the same time period. Surat ranked 44 among the 300 largest metro areas globally.

India youth unemployment rate for 2024 was 16.03%, a 0.37% increase from 2023.

<ul style='margin-top:20px;'>

<li>India youth unemployment rate for 2023 was <strong>15.66%</strong>, a <strong>2.11% decline</strong> from 2022.</li>
<li>India youth unemployment rate for 2022 was <strong>17.77%</strong>, a <strong>3.06% decline</strong> from 2021.</li>
<li>India youth unemployment rate for 2021 was <strong>20.82%</strong>, a <strong>3.84% decline</strong> from 2020.</li>
</ul>Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.

This statistic displays the results of a survey regarding the public opinion on whether the government has reduced the unemployment rate following the 2014 general elections across India as of ********. During the measured time period, around ** percent of respondents stated that they did not believe the Modi ministry had reduced unemployment as of the fourth year of being in power.

In 2024, the estimated youth unemployment rate in India was at 16.03 percent. According to the source, the data are ILO estimates. For the past decade, India’s youth unemployment rate has been hovering around the 22 percent mark. What is the youth unemployment rate?The youth unemployment rate refers to those in the workforce who are aged 15 to 24 years and without a job, but actively seeking one. Generally, youth unemployment rates are higher than the adult unemployment rates, and India is no exception: youth unemployment in India is significantly higher than the national unemployment rate. The Indian workforce, young and oldIndia’s unemployment rate in general is not remarkably high when compared to those of other countries. Both India’s unemployment rate and youth unemployment rate are below their global equivalents. In a comparison of the Asia-Pacific region countries, India ranks somewhere in the middle, with Cambodia’s unemployment rate being estimated to be below one percent, and Afghanistan’s the highest at 8.8 percent.

The statistic shows the unemployment rate in India from 1999 to 2024. In 2024, the unemployment rate in India was estimated to be 4.2 percent. India's economy in comparison to other BRIC states India possesses one of the fastest-growing economies in the world and as a result, India is recognized as one of the G-20 major economies as well as a member of the BRIC countries, an association that is made up of rapidly growing economies. As well as India, three other countries, namely Brazil, Russia and China, are BRIC members. India’s manufacturing industry plays a large part in the development of its economy; however its services industry is the most significant economical factor. The majority of the population of India works in this sector. India’s notable economic boost can be attributed to significant gains over the past decade in regards to the efficiency of the production of goods as well as maintaining relatively low debt, particularly when compared to the total amount earned from goods and services produced throughout the years. When considering individual development as a country, India progressed significantly over the years. However, in comparison to the other emerging countries in the BRIC group, India’s progress was rather minimal. While China experienced the most apparent growth, India’s efficiency and productivity remained somewhat stagnant over the course of 3 or 4 years. India also reported a rather large trade deficit over the past decade, implying that its total imports exceeded its total amount of exports, essentially forcing the country to borrow money in order to finance the nation. Most economists consider trade deficits a negative factor, especially in the long run and for developing or emerging countries.

Employability of workers in India based on Wheebox India Skills report - values for skill-based employability for male and female.

Abstract

This survey was conducted in India between June 2013 and December 2014 as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Data from 9,281 formal establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. Three levels of stratification were used: industry, establishment size, and region.

For stratification by industry, the universe was stratified into 11 manufacturing industries (food, textiles, chemicals, rubber/plastics, non-metallic mineral products, basic metals, fabricated metal products, machinery and equipment, electrical machinery and communications equipment, motor vehicles, and other manufacturing), and 7 services industries (construction, sales and repair of motor vehicles, wholesale, retail, hotels and restaurants, transportation/storage/communications, and IT).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, apart from the construction and agriculture sectors which are not included in the survey.

Regional stratification was defined in 23 states. Delhi was included as a state for stratification purposes, whereas the 6 other UT's were excluded from the survey project (due to their very small size and low contribution to national GDP). The states of Sikkim and Mizoram were also excluded as their share of national GDP was less than 0.1%. At the onset of the survey project, Andhra Pradesh included Telangana (hence Telangana was not considered as its own state). The states of Arunachal Pradesh, Nagaland, Manipur, Tripura, and Meghalaya were combined and considered one state (Arunachal Pradesh) for the purposes of stratification. The survey focused on major cities and the surrounding business area.

For manufacturing establishments, the sample frame used for the survey in India was from the 2013 Annual Survey of Industries compiled by the Central Statistics Office of the Ministry of Statistics and Programme Implementation.

For services establishments, industry associations lists were used to create lists from which to randomly sample from.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 14.9% (566 out of 3,789 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the questionnaire were used for 3 categories of businesses (manufacturing, retail, and other services/non-retail). The Manufacturing Questionnaire includes all common questions asked to all establishments and some specific questions relevant to manufacturing firms. The Services Questionnaire, administered to retail and other services/non-retail establishments, includes all common questions asked to all establishments and some specific questions relevant retail and other services firms. Each variation of the questionnaire is identified by the index variable, a0.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1. Variable names proceeded by a prefix "SAR" or "IND" indicate questions specific to the South Asia region or India only, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

In 2025, employability among graduates of Bachelor of Arts was ** percent, marking an increase from about ** percent in 2024. The Indian economy witnessed a slowdown since 2017 which seemed to have affected the jobs market over the past years.

Although the share of industry in GDP remained stable, it underwent significant fundamental changes. During this period, as a process of product restructuring, when a gross value was adjusted, production increased at current prices by 8 percent per annum. Then in 2004-09, the GDP growth rate increased to 20%. At the same prices, the annual but significant increase in employment was also 7.5 percent per annum. The work participation rate was 39.2 percent in 2009-10. Of these, 53 percent were in agriculture and the remaining 47 percent were in non-agricultural sectors. For the first time in the late 2000s, the number of perfect workers in the agricultural sector decreased. Unemployment in the economy as a whole has come down from 8.3 percent in 2004-05 to 6.6 percent in 2009-10. We can say that the Indian economy has performed well since 1991 but now the Indian economy is going through another turbulent period. The growth rate of the Indian economy has been slowing down since 2014. In addition to this, Kovid 19 has spread its legs in India and has slowed down the growth rate. The research paper will conclude the study of the Indian economy from 2014 to 2020, as well as three economic sectors.

India Minimum Daily Wage Rate: Punjab: Employment in Toll Plaza Establishments data was reported at 361.530 INR in 2021. This records an increase from the previous number of 293.620 INR for 2020. India Minimum Daily Wage Rate: Punjab: Employment in Toll Plaza Establishments data is updated yearly, averaging 293.620 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 361.530 INR in 2021 and a record low of 256.520 INR in 2014. India Minimum Daily Wage Rate: Punjab: Employment in Toll Plaza Establishments 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.GBE030: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Punjab.

Employability among Bachelor of Commerce graduates in India was ** percent in 2025, a significant decrease from 2023. Within the commerce stream, obtaining a B.Com degree is often the minimum requirement for getting a job. The economic slowdown in India has been a major factor in reduced hiring among companies. What is Bachelor of Commerce? An academic course such as Bachelor of Commerce degree that provides theoretical knowledge is different from courses in banking and finance, chartered accountancy and office management. For instance, in chartered accountancy, there is an ’article-ship' which prepares the graduate with hands-on learning experience under the guidance and mentorship of experienced professionals in a company. Although this section of graduates have numerous job opportunities right after graduation, landing a job is difficult for many even today without the practical skillset. In recent years, the number of women graduates with a bachelor's degree has increased in the country. Women undergraduates of commerce had an employability rate of over ** percent in 2019. Engineering students in demand   The share of employable talent across the country was above ** percent for the last two years, an increase since 2014. While the highest scope of employability among undergraduates was among the engineering and the technology graduates, there was still a massive skill gap in terms of experience for industry requirements.

India Minimum Daily Wage Rate: Odisha: Employment in Non-Government Organisation and Voluntary Social Organisation data was reported at 315.000 INR in 2021. This records an increase from the previous number of 308.000 INR for 2020. India Minimum Daily Wage Rate: Odisha: Employment in Non-Government Organisation and Voluntary Social Organisation data is updated yearly, averaging 246.750 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 315.000 INR in 2021 and a record low of 150.000 INR in 2014. India Minimum Daily Wage Rate: Odisha: Employment in Non-Government Organisation and Voluntary Social Organisation 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.GBE028: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Odisha.

India Minimum Daily Wage Rate: Punjab: Employment in Malls and Shopping Complexes Establishments data was reported at 361.530 INR in 2021. This records an increase from the previous number of 293.620 INR for 2020. India Minimum Daily Wage Rate: Punjab: Employment in Malls and Shopping Complexes Establishments data is updated yearly, averaging 293.620 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 361.530 INR in 2021 and a record low of 256.520 INR in 2014. India Minimum Daily Wage Rate: Punjab: Employment in Malls and Shopping Complexes Establishments 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.GBE030: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Punjab.

Explore the Saudi Arabia World Development Indicators dataset , including key indicators such as Access to clean fuels, Adjusted net enrollment rate, CO2 emissions, and more. Find valuable insights and trends for Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, and India.

Indicator, Access to clean fuels and technologies for cooking, rural (% of rural population), Access to electricity (% of population), Adjusted net enrollment rate, primary, female (% of primary school age children), Adjusted net national income (annual % growth), Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: natural resources depletion (% of GNI), Adjusted savings: net national savings (current US$), Adolescents out of school (% of lower secondary school age), Adolescents out of school, female (% of female lower secondary school age), Age dependency ratio (% of working-age population), Agricultural methane emissions (% of total), Agriculture, forestry, and fishing, value added (current US$), Agriculture, forestry, and fishing, value added per worker (constant 2015 US$), Alternative and nuclear energy (% of total energy use), Annualized average growth rate in per capita real survey mean consumption or income, total population (%), Arms exports (SIPRI trend indicator values), Arms imports (SIPRI trend indicator values), Average working hours of children, working only, ages 7-14 (hours per week), Average working hours of children, working only, male, ages 7-14 (hours per week), Cause of death, by injury (% of total), Cereal yield (kg per hectare), Changes in inventories (current US$), Chemicals (% of value added in manufacturing), Child employment in agriculture (% of economically active children ages 7-14), Child employment in manufacturing, female (% of female economically active children ages 7-14), Child employment in manufacturing, male (% of male economically active children ages 7-14), Child employment in services (% of economically active children ages 7-14), Child employment in services, female (% of female economically active children ages 7-14), Children (ages 0-14) newly infected with HIV, Children in employment, study and work (% of children in employment, ages 7-14), Children in employment, unpaid family workers (% of children in employment, ages 7-14), Children in employment, wage workers (% of children in employment, ages 7-14), Children out of school, primary, Children out of school, primary, male, Claims on other sectors of the domestic economy (annual growth as % of broad money), CO2 emissions (kg per 2015 US$ of GDP), CO2 emissions (kt), CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion), CO2 emissions from transport (% of total fuel combustion), Communications, computer, etc. (% of service exports, BoP), Condom use, population ages 15-24, female (% of females ages 15-24), Container port traffic (TEU: 20 foot equivalent units), Contraceptive prevalence, any method (% of married women ages 15-49), Control of Corruption: Estimate, Control of Corruption: Percentile Rank, Upper Bound of 90% Confidence Interval, Control of Corruption: Standard Error, Coverage of social insurance programs in 4th quintile (% of population), CPIA building human resources rating (1=low to 6=high), CPIA debt policy rating (1=low to 6=high), CPIA policies for social inclusion/equity cluster average (1=low to 6=high), CPIA public sector management and institutions cluster average (1=low to 6=high), CPIA quality of budgetary and financial management rating (1=low to 6=high), CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high), Current education expenditure, secondary (% of total expenditure in secondary public institutions), DEC alternative conversion factor (LCU per US$), Deposit interest rate (%), Depth of credit information index (0=low to 8=high), Diarrhea treatment (% of children under 5 who received ORS packet), Discrepancy in expenditure estimate of GDP (current LCU), Domestic private health expenditure per capita, PPP (current international $), Droughts, floods, extreme temperatures (% of population, average 1990-2009), Educational attainment, at least Bachelor's or equivalent, population 25+, female (%) (cumulative), Educational attainment, at least Bachelor's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative), Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, male (%) (cumulative), Educational attainment, at least Master's or equivalent, population 25+, total (%) (cumulative), Electricity production from coal sources (% of total), Electricity production from nuclear sources (% of total), Employers, total (% of total employment) (modeled ILO estimate), Employment in industry (% of total employment) (modeled ILO estimate), Employment in services, female (% of female employment) (modeled ILO estimate), Employment to population ratio, 15+, male (%) (modeled ILO estimate), Employment to population ratio, ages 15-24, total (%) (national estimate), Energy use (kg of oil equivalent per capita), Export unit value index (2015 = 100), Exports of goods and services (% of GDP), Exports of goods, services and primary income (BoP, current US$), External debt stocks (% of GNI), External health expenditure (% of current health expenditure), Female primary school age children out-of-school (%), Female share of employment in senior and middle management (%), Final consumption expenditure (constant 2015 US$), Firms expected to give gifts in meetings with tax officials (% of firms), Firms experiencing losses due to theft and vandalism (% of firms), Firms formally registered when operations started (% of firms), Fixed broadband subscriptions, Fixed telephone subscriptions (per 100 people), Foreign direct investment, net outflows (% of GDP), Forest area (% of land area), Forest area (sq. km), Forest rents (% of GDP), GDP growth (annual %), GDP per capita (constant LCU), GDP per unit of energy use (PPP $ per kg of oil equivalent), GDP, PPP (constant 2017 international $), General government final consumption expenditure (current LCU), GHG net emissions/removals by LUCF (Mt of CO2 equivalent), GNI growth (annual %), GNI per capita (constant LCU), GNI, PPP (current international $), Goods and services expense (current LCU), Government Effectiveness: Percentile Rank, Government Effectiveness: Percentile Rank, Lower Bound of 90% Confidence Interval, Government Effectiveness: Standard Error, Gross capital formation (annual % growth), Gross capital formation (constant 2015 US$), Gross capital formation (current LCU), Gross fixed capital formation, private sector (% of GDP), Gross intake ratio in first grade of primary education, male (% of relevant age group), Gross intake ratio in first grade of primary education, total (% of relevant age group), Gross national expenditure (current LCU), Gross national expenditure (current US$), Households and NPISHs Final consumption expenditure (constant LCU), Households and NPISHs Final consumption expenditure (current US$), Households and NPISHs Final consumption expenditure, PPP (constant 2017 international $), Households and NPISHs final consumption expenditure: linked series (current LCU), Human capital index (HCI) (scale 0-1), Human capital index (HCI), male (scale 0-1), Immunization, DPT (% of children ages 12-23 months), Import value index (2015 = 100), Imports of goods and services (% of GDP), Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24), Incidence of HIV, all (per 1,000 uninfected population), Income share held by highest 20%, Income share held by lowest 20%, Income share held by third 20%, Individuals using the Internet (% of population), Industry (including construction), value added (constant LCU), Informal payments to public officials (% of firms), Intentional homicides, male (per 100,000 male), Interest payments (% of expense), Interest rate spread (lending rate minus deposit rate, %), Internally displaced persons, new displacement associated with conflict and violence (number of cases), International tourism, expenditures for passenger transport items (current US$), International tourism, expenditures for travel items (current US$), Investment in energy with private participation (current US$), Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate), Development

Saudi Arabia, Bahrain, Kuwait, Oman, Qatar, China, India Follow data.kapsarc.org for timely data to advance energy economics research..

The female labor force participation rate in India increased by *** percentage points (*************) in 2024. While the growth is slowing down, with 32.8 percent, the rate is at its peak in the observed period. Female labor force participation is the share of women over 15 years who are economically active. For example, all women providing labor in a specific period for the production of goods and services.

India Minimum Daily Wage Rate: Meghalaya: Employment under any Government Authority (Casual Contingency Employee) data was reported at 361.000 INR in 2021. This records an increase from the previous number of 343.000 INR for 2020. India Minimum Daily Wage Rate: Meghalaya: Employment under any Government Authority (Casual Contingency Employee) data is updated yearly, averaging 244.500 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 361.000 INR in 2021 and a record low of 160.000 INR in 2014. India Minimum Daily Wage Rate: Meghalaya: Employment under any Government Authority (Casual Contingency Employee) 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.GBE024: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Meghalaya.

India Minimum Daily Wage Rate: Odisha: Employment of Non-Teaching Staff in Private Non Grant Aided Educational Institutions data was reported at 315.000 INR in 2021. This records an increase from the previous number of 308.000 INR for 2020. India Minimum Daily Wage Rate: Odisha: Employment of Non-Teaching Staff in Private Non Grant Aided Educational Institutions data is updated yearly, averaging 246.750 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 315.000 INR in 2021 and a record low of 150.000 INR in 2014. India Minimum Daily Wage Rate: Odisha: Employment of Non-Teaching Staff in Private Non Grant Aided Educational Institutions 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.GBE028: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Odisha.

India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Employment in Laying of Underground Electric Lines, Water Supply Lines and Sewerage Pipe Lines, etc. data was reported at 220.000 INR in 2014. This records an increase from the previous number of 207.000 INR for 2013. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Employment in Laying of Underground Electric Lines, Water Supply Lines and Sewerage Pipe Lines, etc. data is updated yearly, averaging 171.000 INR from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 220.000 INR in 2014 and a record low of 78.000 INR in 2008. India Minimum Daily Wage Rate: Chief Labour Commissioner (Central): Employment in Laying of Underground Electric Lines, Water Supply Lines and Sewerage Pipe Lines, etc. 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.GBC002: Minimum Daily Wage Rate: Chief Labour Commissioner (Central).

India Minimum Daily Wage Rate: Jharkhand: Employment of Bus and Truck Driver/Conductor and Cleaners data was reported at 314.960 INR in 2021. This records an increase from the previous number of 300.360 INR for 2020. India Minimum Daily Wage Rate: Jharkhand: Employment of Bus and Truck Driver/Conductor and Cleaners data is updated yearly, averaging 224.930 INR from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 314.960 INR in 2021 and a record low of 178.670 INR in 2014. India Minimum Daily Wage Rate: Jharkhand: Employment of Bus and Truck Driver/Conductor and Cleaners 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.GBE017: Minimum Daily Wage Rate: Minimum Wages Act, 1948: Jharkhand.