This statistic shows the value of exported commodities from India in 2023. In 2023, agricultural products worth 51.06 billion U.S. dollars were exported from India.

This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 81 percent of respondents from India perceived products made in the United States as "slightly positive" or "very positive". The survey indicates that the U.S. products have the strongest reputation in India, followed by German products.

India Vital Statistics: Natural Growth Rate: per 1000 Population data was reported at 13.500 NA in 2020. This records a decrease from the previous number of 13.800 NA for 2019. India Vital Statistics: Natural Growth Rate: per 1000 Population data is updated yearly, averaging 18.500 NA from Dec 1970 (Median) to 2020, with 51 observations. The data reached an all-time high of 22.000 NA in 1971 and a record low of 13.500 NA in 2020. India Vital Statistics: Natural Growth Rate: per 1000 Population data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under Global Database’s India – Table IN.GAH001: Vital Statistics.

As reported by a survey conducted in 2025 on digital news consumption, about ** percent of respondents from India stated that they sourced their news ******, which included social media, making it a popular form of accessing news. In comparison, ** percent of respondents stated that they used print media as a news source during that period.

The Social Security Rate in India stands at 24 percent. This dataset provides - India Social Security Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

India literacy rate for 2022 was 76.32%, a 7.02% increase from 2011.

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

<li>India literacy rate for 2011 was <strong>69.30%</strong>, a <strong>6.55% increase</strong> from 2006.</li>
<li>India literacy rate for 2006 was <strong>62.75%</strong>, a <strong>1.74% increase</strong> from 2001.</li>
<li>India literacy rate for 2001 was <strong>61.01%</strong>, a <strong>12.79% increase</strong> from 1991.</li>
</ul>Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.

India IN: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 26.700 NA in 2016. This records a decrease from the previous number of 26.800 NA for 2015. India IN: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 27.100 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 29.700 NA in 2000 and a record low of 26.700 NA in 2016. India IN: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male 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: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

The dataset was created as part of an ESRC-sponsored study, ‘British economic, social, and cultural interactions with Asia, 1760-1833’. It contains statistics relating to the trade and domestic finances of the monopolistic English East India Company primarily between 1755 and 1834, the year in which the Company ceased to function as a commercial organization. Until now quantitative data derived from original sources has only been available in time series for the Company’s trade and some aspects of its domestic finances for the years before 1760. But many of the details, patterns, and trends of trade and finance in the decades after 1760, a most important period when the Company fully embarked on the interlinked processes of military, political, and commercial expansion in Asia, have remained unclear. In creating this dataset, the aim was thus two-fold: i) to establish for the first time a set of statistics detailing the changing value, volume, and geographical structure of the East India Company’s overseas trade for the period when the Company began to exert imperial control over large parts of the Indian subcontinent; and ii) to generate select statistics relating to the Company’s domestic finances, thereby enabling analysis to be undertaken of a range of Company interactions with Britain’s economy and society.

Looking back 45 years or so, progress against poverty in India has been highly uneven over time and space. It took 20 years for the national poverty rate to fall below—and stay below—its value in the early 1950s. And trend rates of poverty reduction have differed appreciably between states. This research project aimed to understand what influence economy-wide and sectoral factors have played in the evolution of poverty measures for India since the 1950s, and to draw lessons for the future. This database contains detailed statistics on a wide range of topics in India. The data are presented at the state level and at the all-India level separately. The database uses published information to construct comprehensive series in six subject blocks. Period coverage is roughly from 1950 to 1994. The database contains 30 spreadsheets and 89 text files (ASCII) that are grouped into the six subject blocks. The formats and sizes of the 30 spreadsheets vary considerably. The list of variables included: . Expenditures (distribution) . National Accounts . Prices Wages . Population . Rainfall

India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Graduate and Above: Age: 35-39 data was reported at 36.400 NA in 2016. This records an increase from the previous number of 29.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Graduate and Above: Age: 35-39 data is updated yearly, averaging 25.200 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 36.400 NA in 2016 and a record low of 18.600 NA in 2011. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Graduate and Above: Age: 35-39 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH008: Vital Statistics: Age Specific Fertility Rate: by Education Level of Women.

India IT Industry Revenue: USD: Domestic data was reported at 41.000 USD bn in 2019. This stayed constant from the previous number of 41.000 USD bn for 2018. India IT Industry Revenue: USD: Domestic data is updated yearly, averaging 20.380 USD bn from Mar 1997 (Median) to 2019, with 23 observations. The data reached an all-time high of 48.000 USD bn in 2015 and a record low of 2.661 USD bn in 1997. India IT Industry Revenue: USD: Domestic data remains active status in CEIC and is reported by National Association of Software and Service Companies. The data is categorized under Global Database’s India – Table IN.TF007: Information Technology Statistics: National Association of Software and Service Company: IT-BPM: Domestic Revenue.

India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data was reported at 32.600 NA in 2016. This records a decrease from the previous number of 32.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data is updated yearly, averaging 22.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 32.700 NA in 2015 and a record low of 16.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH008: Vital Statistics: Age Specific Fertility Rate: by Education Level of Women.

India inflation rate for 2024 was 4.95%, a 0.7% decline from 2023.

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

<li>India inflation rate for 2023 was <strong>5.65%</strong>, a <strong>1.05% decline</strong> from 2022.</li>
<li>India inflation rate for 2022 was <strong>6.70%</strong>, a <strong>1.57% increase</strong> from 2021.</li>
<li>India inflation rate for 2021 was <strong>5.13%</strong>, a <strong>1.49% decline</strong> from 2020.</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

India IN: Share in World Trade: Country's Trade: expressed in USD Volume data was reported at 0.029 % in 2025. This records an increase from the previous number of 0.029 % for 2024. India IN: Share in World Trade: Country's Trade: expressed in USD Volume data is updated yearly, averaging 0.021 % from Dec 1996 (Median) to 2025, with 30 observations. The data reached an all-time high of 0.029 % in 2025 and a record low of 0.008 % in 1997. India IN: Share in World Trade: Country's Trade: expressed in USD Volume data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.EO: Trade Statistics: Share in World Trade and Performance Indicators: Forecast: Non OECD Member: Annual. SHTGSVD - Share of country's trade, volume (in USD at OECD reference year prices) in world trade OECD calculation, see OECD Economic Outlook database documentation

Primary completion rate, male (% of relevant age group) in India was reported at 93.34 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Primary completion rate, male - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Labor force participation rate for ages 15-24, male (%) (national estimate) in India was reported at 44.67 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Labor force participation rate for ages 15-24, male (national estimate) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

There were 121 200 000 Linkedin users in India in January 2024, which accounted for 8.2% of its entire population. People aged 25 to 34 were the largest user group (61 000 000).

Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) in India was reported at 77.08 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Labor participation rate, male (% of male population ages 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

General Expenditure comprising of Defence, Police, External Affairs, Food Subsidy, Development Expenditure comprising of Railways, Posts and Telecommunications, Social and Community Services, General Economic Services, Agricultural and allied services, and Loans and Advances of the Centre and the States

This statistic presents the results of a survey on perceived unemployment rate among working age population in India as of ************. According to data published by Ipsos, Indian respondents overestimated the level of unemployment in their country. On average, the respondents thought that around ** out of every 100 Indians of working age were unemployed and looking for work, when the actual unemployment rate was **** percent in the country.