Employment Rate in India remained unchanged at 47.20 percent in the fourth quarter of 2024 from 47.20 percent in the third quarter of 2024. This dataset provides - India Worker Population Ratio- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in India decreased to 7.90 percent in February from 8.20 percent in January of 2025. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

In 2025, the employability rate in the Indian city of Pune was estimated to be **** percent. It was followed by the southern Indian city of Bengaluru, with an employability of about ** percent. Bengaluru, was the most preferred city to work in the country.

Graph and download economic data for Employment to Population Ratio for India (SLEMPTOTLSPZSIND) from 1991 to 2024 about employment-population ratio, India, employment, and population.

In the financial year 2024, the employment rate in India was the highest among Christians, at over 40 percent. The unemployment rate was the lowest among Muslims during the period, however, it was an increase from the previous financial year. The unemployment rate has risen across all religions since the last financial year.

Employment Rate in India - values from PLFS and UNDP for male, female, rural, urban, and comparison with global peers.

India Part Time Employment: % of Total Employment data was reported at 23.990 % in 2023. This records an increase from the previous number of 20.850 % for 2022. India Part Time Employment: % of Total Employment data is updated yearly, averaging 18.080 % from Dec 2018 (Median) to 2023, with 6 observations. The data reached an all-time high of 23.990 % in 2023 and a record low of 14.440 % in 2019. India Part Time Employment: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Employment and Unemployment. Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.;International Labour Organization. “Wages and Working Time Statistics database (COND)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;Relevance to gender indicator: More and more women are working part-time and one of the concern is that part time work does not provide the stability that full time work does.

As per the Periodic Labour Force Survey of 2024, the unemployment rate among individuals with secondary education and above was 7.1 percent, the highest among other levels of education. Although the unemployment rate within this category fell from the previous financial year. Potential of the education sectorIndia's education sector is estimated to be valued at around 117 billion U.S. dollars, and it is expected to grow to 225 billion U.S. dollars by 2025. It is a growing trend for many young Indians to attain two or three degrees in the hope of attaining a job. One of the largest young populations in the world presents a unique opportunity for the country in the education sector. Educated unemployed Youth unemployment in India was over 15 percent in 2023. This is despite the abundance of highly educated professionals. The data suggests a sharp mismatch between the skills of the labor force and job creation. The lack of jobs in the non-farm sector for the newly graduated young population is a major cause of worry for the Indian economy.

India IN: Unemployment Rate: % Change over Previous Period data was reported at -14.042 % in 2023. This records an increase from the previous number of -24.169 % for 2022. India IN: Unemployment Rate: % Change over Previous Period data is updated yearly, averaging -14.528 % from Dec 2019 (Median) to 2023, with 5 observations. The data reached an all-time high of 20.846 % in 2020 and a record low of -24.169 % in 2022. India IN: Unemployment Rate: % Change over Previous Period data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s India – Table IN.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

Youth Unemployment Rate in India decreased to 22.90 percent in the first quarter of 2021 from 24.90 percent in the fourth quarter of 2020. This dataset provides - India Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Unemployment Rate in India - nationwide, state-wise, rural and urban employment, and comparison with global peers.

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.

Employment: West Bengal data was reported at 1,922.000 Person th in 2012. This records an increase from the previous number of 1,814.000 Person th for 2011. Employment: West Bengal data is updated yearly, averaging 1,938.000 Person th from Mar 2001 (Median) to 2012, with 9 observations. The data reached an all-time high of 2,324.800 Person th in 2001 and a record low of 1,814.000 Person th in 2011. Employment: West Bengal data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA054: Employment: by States (Discontinued).

The number of employed persons in India increased to 29579 Thousand in 2012 from 28999 Thousand in 2011. This dataset provides - India Employed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

Employment: Haryana data was reported at 750.000 Person th in 2012. This records an increase from the previous number of 715.000 Person th for 2011. Employment: Haryana data is updated yearly, averaging 667.000 Person th from Mar 2001 (Median) to 2012, with 9 observations. The data reached an all-time high of 750.000 Person th in 2012 and a record low of 647.900 Person th in 2005. Employment: Haryana data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Labour Market – Table IN.GBA054: Employment: by States (Discontinued).

Abstract

The Employment and Unemployment surveys of National sample Survey (NSS) are primary sources of data on various indicators of labour force at National and State levels. These are used for planning, policy formulation, decision support and as input for further statistical exercises by various Government organizations, academicians, researchers and scholars. NSS surveys on employment and un-employment with large sample size of households have been conducted quinquennially from 27th. round(October'1972 - September'1973) onwards. Cotinuing in this series the fourth such all-india survey on the situation of employment and unemployment in India was carried out during the period july 1987 - june 1988 .

The working Group set up for planning of the entire scheme of the survey, among other things, examined also in detail some of the key results generated from the 38th round data and recommended some stream-lining of the 38th round schedule for the use in the 43rd round. Further, it felt no need for changing the engaging the easting conceptual frame work. However, some additional items were recommended to be included in the schedule to obtain the necessary and relevant information for generating results to see the effects on participation rates in view of the ILO suggestions.5.0.1. The NSSO Governing Council approved the recommendations of the working Group and also the schedule of enquiry in its 44th meeting held on 16 January, 1987. In this survey, a nation-wide enquiry was conducted to provide estimates on various characteristics pertaining to employment and unemployment in India and some characteristics associated with them at the national and state levels. Information on various facets of employment and unemployment in India was collected through a schedule of enquiry (schedule 10).

Geographic coverage

The survey covered the whole of Indian Union excepting i) Ladakh and Kargil districts of Jammu & Kashmir ii) Rural areas of Nagaland

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Kind of data

Sample survey data [ssd]

Sampling procedure

It may be mentioned here that in order to net more households of the upper income bracket in the Sample , significant changes have been made in the sample design in this round (compares to the design of the 38th round).

SAMPLE DESIGN AND SAMPLE SIZE The survey had a two-stage stratified design. The first stage units (f.s.u.'s) are villages in the rural sector and urban blocks in the urban sector. The second stage units are households in both the sectors. Sampling frame for f.s.u.'s : The lists of 1981 census villages constituted the sampling frame for rural sector in most districts. But the 1981 census frame could not be used for a few districts because, either the 1981 census was not held there or the list of 1981 census villages could not be obtained or the lists obtained from the census authorities were found to be grossly incomplete. In such cases 1971 census frame were used. In the urban sector , the Urban Frame Survey (U.F.S.) blocks constituted the sampling frame. STRATIFICATION : States were first divided into agro-economic regions which are groups of contiguous districts , similar with respect to population density and crop pattern. In Gujarat, however , some districts have been split for the purpose of region formation In consideration of the location of dry areas and the distribution of the tribal population in the state. The composition of the regions is given in the Appendix. RURAL SECTOR: In the rural sector, within each region, each district with 1981Census rural population less 1.8 million formed a single stratum. Districts with larger population were divided into two or more strata, depending on population, by grouping contiguous tehsils similar, as for as possible, in respect of rural population Density and crop pattern. (In Gujarat, however , in the case of districts extending over more than one region, even if the rural population was less than 1.8 million, the portion of a district falling in each region constituted a separate stratum. Further ,in Assam the old "basic strata" formed on the basis of 1971 census rural population exactly in the above manner, but with cut-off population as 1.5 million have been retained as the strata for rural sampling.) URBAN SECTOR : In the urban sector , strata were formed , again within NSS region , on the basis of the population size class of towns . Each city with population 10 lakhs or more is self-representative , as in the earlier rounds . For the purpose of stratification, in towns with '81 census population 4 lakhs or more , the blocks have been divided into two categories , viz . : One consisting of blocks in areas inhabited by the relatively affluent section of the population and the other consisting of the remaining blocks. The strata within each region were constituted as follows :

Table (1.2) : Composition of urban strata

Stratum population class of town

number

(1) (2)

1 all towns with population less than 50,000 2 -do- 50,000 - 199,999 3 -do- 200,000 - 399,999 4 -do- 400,000 - 999,999 ( affluent area) 5 (other area) 6 a single city with population 1 million and above (affluent area) 7 " (other area) 8 another city with population 1 million and above

9 " (other area)

Note : There is no region with more than one city with population 1 million and above. The stratum number have been retained as above even if in some regions some of the strata are empty. Allocation for first stage units : The total all-India sample size was allocated to the states /U.T.'s proportionate to the strength of central field staff. This was allocated to the rural and urban sectors considering the relative size of the rural and urban population. Now the rural samples were allocated to the rural strata in proportion to rural population. The urban samples were allocated to the urban strata in proportion to urban population with double weight age given to those strata of towns with population 4 lakhs or more which lie in area inhabited by the relatively affluent section. All allocations have been adjusted such that the sample size for stratum was at least a multiple of 4 (preferably multiple of 8) and the total sample size of a region is a multiple of 8 for the rural and urban sectors separately.
Selection of f.s.u.'s : The sample villages have been selected circular systematically with probability proportional to population in the form of two independent interpenetrating sub-samples (IPNS) . The sample blocks have been selected circular systematically with equal probability , also in the form of two IPNS' s. As regards the rural areas of Arunachal Pradesh, the procedure of 'cluster sampling' was:- The field staff will be supplied with a list of the nucleus villages of each cluster and they selected the remaining villages of the cluster according to the procedure described in Section Two. The nucleus villages were selected circular systematically with equal probability, in the form of two IPNS 's. Hamlet-group and sub-blocks : Large villages and blocks were sub- divided into a suitable number of hamlet-groups and sub-blocks respectively having equal population convent and one them was selected at random for surveys. Hamlet-group and sub-blocks : Large villages and blocks were sub- divided into a suitable number of hamlet-groups and sub-blocks respectively having equal population convent and one them was selected at random for surveys. Selection of households : rural : In order to have adequate number of sample households from the affluent section of the society, some new procedures were introduced for selection of sample households, both in the rural and urban sectors. In the rural sector , while listing households, the investigator identified the households in village/ selected hamlet- group which may be considered to be relatively more affluent than the rest. This was done largely on the basis of his own judgment but while exercising his judgment considered factors generally associated with rich people in the localitysuch as : living in large pucca house in well-maintained state, ownership/possession of cultivated/irrigated land in excess of certain norms. ( e.g.20 acres of cultivated land or 10 acres of irrigated land), ownership of motor vehicles and costly consumer durables like T.V. , VCR, VCP AND refrigerator, ownership of large business establishment , etc. Now these "rich" households will form sub-stratum 1. (If the total number of households listed is 80 or more , 10 relatively most affluent households will form sub-stratum 1. If it is below 80, 8 such households will form sub-stratum 1. The remaining households will 'constitute sub-stratum 2. At the time of listing, information relating to each household' s major sources of income will be collected, on the basis of which its means of livelihood will be identified as one of the following : "self-employed in non-agriculture " "rural labour" and "others" (see section Two for definition of these terms) . Also the area of land possessed as on date of survey will be ascertained from all households while listing. Now the households of sub-stratum 2 will be arranged in the order : (1)self-employed in non-agriculture, (2) rural labour, other households, with land possessed (acres) : (3) less than 1.00 (4) 1.00-2.49,(5)2.50-4.99, (6)

India IN: Unemployment Rate data was reported at 3.540 % in 2010. India IN: Unemployment Rate data is updated yearly, averaging 3.540 % from Dec 2010 (Median) to 2010, with 1 observations. India IN: Unemployment Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s India – Table IN.IMF.IFS: Labour Force, Employment and Unemployment: Annual.