Unemployment Rate in India remained unchanged at 5.20 percent in October. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of May 2022, the unemployment rate in India was recorded at nearly ***** percent, a decrease from the previous month. While the unemployment rate had significantly declined over the course of 2021 since having peaked in **********, the breakout of new coronavirus variants coupled with recurring lockdowns resulted in a fluctuating trend of unemployment gripping the nation. The trickle-down effect Between February and April 2020, the share of households that experienced a fall in income shot up to nearly ** percent. Inflation rates on goods and services including food products and fuel were expected to rise later this year. Social distancing resulted in job losses, specifically those within Indian society’s lower economic strata. Several households terminated domestic help services – essentially an unorganized monthly-paying job. Most Indians spent a large amount of time engaging in household chores themselves, making it the most widely practiced lockdown activity. Aid from the Pradhan Mantri Garib Kalyan Yojana The most devastating impact of the virus and the lockdown had been on the economically backward classes, with limited access to proper healthcare and other resources. As a result the government launched various programs and campaigns to help sustain such households. Under the Pradhan Mantri Garib Kalyan Yojana, *** billion Indian rupees were accrued and provided to around 331 million beneficiaries that included women, construction workers, farmers, and senior citizens. More aid was announced in mid-May, to mainly support small businesses through the crisis.

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.

Key information about India Unemployment Rate

• India Unemployment Rate increased to 7.11% in Dec 2020, from the previously reported figure of 5.27% in Dec 2019.
• India Unemployment Rate is updated yearly, available from Dec 1991 to Dec 2020, with an average rate of 5.66%.
• The data reached an all-time high of 7.11% in Dec 2020 and a record low of 5.27% in Dec 2019.
• The data is reported by reported by CEIC Data.
• In the latest reports, India Population reached 1,382.89 million people in Mar 2023.

Small traders and laborers were most impacted by the coronavirus (COVID-19) lockdown in India with over ** million people losing their employment in April 2020. Over *** million Indians lost their jobs, including entrepreneurs and salaried workers. In contrast, agriculture saw an addition of **** percent from farmers as compared to the fiscal year 2020.

Dataset

This dataset was created by peyushd27

Contents

This dataset provides the Unemployment Rate (UR) in percentage according to usual status (ps+ss) for each State and Union Territory in India, categorized by age groups: 15-29 years, 15-59 years, 15 years and above, and all ages. It is sourced from the PLFS by the Ministry of Statistics and Programme Implementation and offers insights into regional and age-group-specific unemployment rates. For 2023-24, Chandigarh's entire area has been considered urban for this survey, with data available only for the age groups 15-59 years, 15 years and above, and all ages. Before 2019-20, Ladakh was part of Jammu and Kashmir, and since 2020-21, Daman and Diu has been merged with Dadra and Nagar Haveli to form the union territory of Dadra and Nagar Haveli and Daman and Diu.

Tingkat Pengangguran India dilaporkan sebesar 7.11 % pada 2020. Rekor ini naik dibanding sebelumnya yaitu 5.27 % untuk 2019. Data Tingkat Pengangguran India diperbarui tahunan, dengan rata-rata 5.66 % dari 1991 sampai 2020, dengan 30 observasi. Data ini mencapai angka tertinggi sebesar 7.11 % pada 2020 dan rekor terendah sebesar 5.27 % pada 2019. Data Tingkat Pengangguran India tetap berstatus aktif di CEIC dan dilaporkan oleh CEIC Data. Data dikategorikan dalam India Global Database – Table IN.G007: Unemployment Rate.

This dataset provides the Unemployment Rate (UR) in percentage, calculated according to the usual principal status (ps) for each State and Union Territory in India. The data is sourced from the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation since 2020-21. It highlights unemployment trends across regions and all age groups. Note: For 2023-24, Chandigarh's entire area has been considered as urban for this survey.

Unemployment Rate in China decreased to 5.10 percent in October from 5.20 percent in September of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

According to a survey among Indian urban youth about life in lockdown, a majority of employed respondents stated that they did not have unemployment insurance or paid sick leave or health insurance through their employer as of **********. About ** percent of full-time employees had paid sick leave through their employer. However, *** only percent of Indians had unemployment insurance at that time.

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

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.

Os dados de Taxa de Desemprego da Índia foram registrados em 7.11 % em 2020. Este é um registro de um aumento com relação aos números anteriores de 5.27 % em 2019. Os dados de Taxa de Desemprego da Índia são atualizados anualmente, com uma média de 5.66 % em 1991 até 2020, com 30 observações. Os dados alcançaram um alto recorde de 7.11 % em 2020 e um baixo recorde de 5.27 % em 2019. Os dados de Taxa de Desemprego da Índia permanecem com status ativo na CEIC e são reportados pela fonte: CEIC Data. Os dados são classificados sob o Global Database’ Índia – Table IN.G007: Unemployment Rate.

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.

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.

Key information about India Labour Force Participation Rate

• India Labour Force Participation Rate increased to 45.1 % in Dec 2024, compared with 42.4 % in the previous year.
• India Labour Force Participation Rate is updated yearly, available from Dec 1990 to Dec 2024, with an average rate of 57.4 % .
• The data reached the an all-time high of 60.1 % in Dec 2000 and a record low of 36.9 % in Dec 2018.
• India Labour Force Participation Rate is reported by reported by CEIC Data.
• In the latest reports, India Population reached 1,408.0 million people in Mar 2025.
• Unemployment Rate of India increased to 7.1 % in Dec 2020.

Goal 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allGlobal unemployment increased from 170 million in 2007 to nearly 202 million in 2012, of which about 75 million are young women and men.Nearly 2.2 billion people live below the US$2 poverty line and poverty eradication is only possible through stable and well-paid jobs.470 million jobs are needed globally for new entrants to the labour market between 2016 and 2030.Small and medium-sized enterprises that engage in industrial processing and manufacturing are the most critical for the early stages of industrialization and are typically the largest job creators. They make up over 90% of business worldwide and account for between 50-60% of employment.The unemployment rate in India is estimated to be approximately 5% at All India level (2013-14). India’s labour force is set to grow by more than 8 million per year.This map layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

India IN: Labour Force: % Change over Previous Period data was reported at 5.359 % in 2023. This records a decrease from the previous number of 7.682 % for 2022. India IN: Labour Force: % Change over Previous Period data is updated yearly, averaging 6.520 % from Dec 2001 (Median) to 2023, with 6 observations. The data reached an all-time high of 15.615 % in 2001 and a record low of 3.299 % in 2020. India IN: Labour Force: % 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.

Abstract

The objective of PLFS is primarily on two aspects. The first is to measure the dynamics in labour force participation and employment status in the short time interval of three months for the urban areas only in the Current Weekly Status (CWS). Thus, in every quarter, PLFS will bring out the level and change estimates of the key labour force indicators in CWS viz. Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR), Unemployment Rate (UR). Secondly, for both rural and urban areas, level estimates of all important parameters in both usual status and CWS will be brought out annually.

Geographic coverage

The survey will cover the whole of the Indian Union except the villages in Andaman and Nicobar Islands which remain extremely difficult to access throughout the year.

Sampling procedure

In a large village, there exist usually a few localities or pockets where the houses of the village tend to cluster together. These are called 'hamlets'. In case there are no such recognised hamlets in the village, the census sub-divisions of the village (e.g. enumeration blocks or groups of census house numbers or geographically distinct blocks of houses) may be treated as 'hamlets'. Large hamlets may be divided artificially to achieve more or less equal population content for the purpose of hamlet-group formation. The procedure for formation of hamlet-groups is best described, perhaps, by listing sequentially the steps involved: (i) Identify the hamlets as described above. (ii) Ascertain approximate present population of each hamlet. (iii) Draw a notional map in block 3 showing the location of the hamlets and number them in a serpentine order starting from the northwest corner and proceeding southwards. While drawing this map, uninhabited area (non-abadi area) of the village will be included as part of nearby hamlet, so that no area of the village is left out. The boundaries of the hamlets may be defined with the help of some landmarks like canals, footpaths, railway lines, roads, cadastral survey plot numbers etc., so that it would be possible to identify and locate the geographical boundaries of the hamlet-groups to be formed in the village. (iv) List the hamlets in Block 4.1 in the order of their numbering. Indicate the present population content in terms of percentages. (v) Group the hamlets into D hamlet-groups. The criteria to be adopted for hamlet-group formation are equality of population content and geographical contiguity (numbering of hamlets is not to be adopted as a guideline for grouping). In case there is a conflict between the two aspects, geographical contiguity is to be given priority. However, there should not be substantial difference between the population of the smallest and the largest hamlet-group formed. Indicate the grouping in the map. (vi) Number the hamlet-groups serially in column (1) of Block 4.2. The hamlet-group containing hamlet number 1 will be numbered as 1, the hamlet-group with next higher hamlet number not included in hg 1 will be numbered as 2 and so on. Indicate the numbers also in the notional map. It is quite possible that a hamlet-group may not be constituted of hamlets with consecutive serial numbers.

Mode of data collection

FACE TO FACE