India Imports: Developing Countries: Others data was reported at 9.304 USD bn in 2018. This records an increase from the previous number of 7.344 USD bn for 2017. India Imports: Developing Countries: Others data is updated yearly, averaging 1.047 USD bn from Mar 1988 (Median) to 2018, with 31 observations. The data reached an all-time high of 44.514 USD bn in 2006 and a record low of 0.300 USD mn in 1993. India Imports: Developing Countries: Others data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.JAA008: Imports by Country: USD (Annual).

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

India: Financial development: The latest value from 2021 is 0.534 index points, a decline from 0.539 index points in 2020. In comparison, the world average is 0.331 index points, based on data from 178 countries. Historically, the average for India from 1980 to 2021 is 0.372 index points. The minimum value, 0.121 index points, was reached in 1980 while the maximum of 0.539 index points was recorded in 2020.

The statistic shows the gross domestic product (GDP) per capita in India from 1987 to 2029. In 2020, the estimated gross domestic product per capita in India amounted to about 1,915.55 U.S. dollars. See figures on India's economic growth here. For comparison, per capita GDP in China had reached about 6,995.25 U.S. dollars in 2013.

India's economic progress

India’s progress as a country over the past decade can be attributed to a global dependency on cheaper production of goods and services from developed countries around the world. India’s economy is built upon its agriculture, manufacturing and services sector, which, along with its drastic rise in population and demand for employment, led to a significant increase of the nation’s GDP per capita. Despite experiencing rather momentous economic gains since the mid 2000s, the Indian economy stagnated around 2012, with a decrease in general growth as well as the value of its currency. Residents and consumers in India have recently shown pessimism regarding the future of the Indian economy as well as their own financial situation, and with the recent economic standstill, consumer confidence in the country could potentially lower in the near future.

Typical Indian exports consist of agricultural products, jewelry, chemicals and ores. Imports consist primarily of crude oil, gold and precious stones, used primarily in the manufacturing of jewelry. As a result, India has seen a rather highly increased demand of several gems in order to boost their jewelry industry and in general their exports. Although India does not export an extensive amount of goods, especially when considering the stature of the country, India has remained as one of the world’s largest exporters.

India IN: Net Official Development Assistance Received: 2016 Price data was reported at 3.108 USD bn in 2017. This records an increase from the previous number of 2.679 USD bn for 2016. India IN: Net Official Development Assistance Received: 2016 Price data is updated yearly, averaging 3.097 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.539 USD bn in 1967 and a record low of 724.120 USD mn in 2003. India IN: Net Official Development Assistance Received: 2016 Price 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: Defense and Official Development Assistance. Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institutions, and by non-DAC countries to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. It includes loans with a grant element of at least 25 percent (calculated at a rate of discount of 10 percent). Data are in constant 2016 U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

Switzerland had the highest level of the Human Development Index (HDI) worldwide in 2022 with a value of 0.967. With a score of 0.966, Norway followed closely behind Switzerland and had the second highest level of human development in that year. The rise of the Asian tigers In the decades after the Cold War, the four so-called Asian tigers, South Korea, Singapore, Taiwan, and Hong Kong (now a Special Administrative Region of China) experienced rapid economic growth and increasing human development. At number four and number nine of the HDI, respectively, Hong Kong and Singapore are the only Asian locations within the top 10 highest HDI scores. Both locations have experienced tremendous economic growth since the 1980’s and 1990’s. In 1980, the per capita GDP of Hong Kong was 5,703 U.S. dollars, increasing throughout the decades until reaching 50,029 in 2023, which is expected to continue to increase in the future. Meanwhile, in 1989, Singapore had a GDP of nearly 31 billion U.S. dollars, which has risen to nearly 501 billion U.S. dollars today and is also expected to keep increasing. Growth of the UAE The United Arab Emirates (UAE) is the only Middle Eastern country besides Israel within the highest ranking HDI scores globally. Within the Middle East and North Africa (MENA) region, the UAE has the third largest GDP behind Saudi Arabia and Israel, reaching nearly 507 billion U.S. dollars by 2022. Per capita, the UAE GDP was around 21,142 U.S. dollars in 1989, and has nearly doubled to 43,438 U.S. dollars by 2021. Moreover, this is expected to reach over 67,538 U.S. dollars by 2029. On top of being a major oil producer, the UAE has become a hub for finance and business and attracts millions of tourists annually.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.

Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) in India was reported at 3.5756 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

India Exports: Developing Countries: Asia data was reported at 99.849 USD bn in 2018. This records an increase from the previous number of 88.574 USD bn for 2017. India Exports: Developing Countries: Asia data is updated yearly, averaging 13.981 USD bn from Mar 1988 (Median) to 2018, with 31 observations. The data reached an all-time high of 99.849 USD bn in 2018 and a record low of 1.443 USD bn in 1988. India Exports: Developing Countries: Asia data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.JAA007: Exports by Country: USD (Annual).

Abstract

The Country Opinion Survey in India assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in India perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in India on 1) their views regarding the general environment in India; 2) their overall attitudes toward the WBG in India; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in India; and 4) their perceptions of the WBG’s future role in India.

Geographic coverage

• Central India
• East India
• North India
• Northeast India
• South India
• Western India

Analysis unit

Stakeholder

Universe

Opinion leaders from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society.

Kind of data

Sample survey data [ssd]

Sampling procedure

From February to April 2021, 1,419 stakeholders of the WBG in India were invited to provide their opinions on the WBG’s work in the country by participating in a Country Opinion Survey. Participants were drawn from the Office of the President, Prime Minister; office of a minister; office of a parliamentarian; ministries/ministerial departments/implementation agencies; Project Management Units (PMUs) overseeing implementation of WBG projects; consultants/ contractors working on WBG-supported projects/programs; local governments; independent government institutions; state-owned enterprises; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; private foundations; NGOs and community based organizations; youth groups; academia/research institutes/think tanks; the media; and other organizations.

Mode of data collection

Other [oth]

Research instrument

The questionnaire used to collect the survey data was prepared in English and consisted of the following 8 sections:

A. Overall Context B. Overall Attitudes toward the World Bank Group C. World Bank Group’s Work and Engagement on the Ground D. World Bank Group’s Support in Development Areas E. World Bank Group’s Knowledge Work and Activities F. The Future Role of the World Bank Group in India G. Communication and Information Sharing H. Background Information

Response rate

31%

India Imports: Developing Countries: Asia: Others data was reported at 162.634 USD bn in 2018. This records an increase from the previous number of 130.538 USD bn for 2017. India Imports: Developing Countries: Asia: Others data is updated yearly, averaging 10.792 USD bn from Mar 1988 (Median) to 2018, with 31 observations. The data reached an all-time high of 162.634 USD bn in 2018 and a record low of 2.001 USD bn in 1988. India Imports: Developing Countries: Asia: Others data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.JAA008: Imports by Country: USD (Annual).

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

Sample excludes Northeast states and remote islands, representing less than 10% of the population.

Analysis unit

Individuals

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size was 3000.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

The statistic shows the proportions of the economic sectors in the gross domestic product (GDP) in selected countries in 2023. In France, the agricultural sector accounted for 1.74 percent of the GDP in 2023.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Contains data from World Bank's data portal covering various economic and social indicators (one per resource).

The role of developing countries is very important in dealing with global climate change because even the full elimination of developed country emissions would not avoid global warming. While the industrialized countries are urging big emitting developing countries (e.g., China, India) to enter into mandatory targets to reduce their GHG emissions, they are arguing against any quantified commitments in the near future. This issue is at the heart of the ongoing negotiations. One approach that developing countries are currently exploring is the implementation of GHG mitigation activities that do not impede their expected economic growth (i.e., pursue a strategy of low carbon economic growth) or implementation of so called win-win options for GHG mitigation. The WBG has launched studies in the six big emitting client countries (e.g., China, India, Mexico, Brazil, South Africa and Indonesia) to identify options for low carbon growth. While these studies are at different levels of development, none of these studies are expected to answer the following questions: (i) what level of GHG mitigation can these and other developing countries achieve without slowing down their expected economic growth? and how much would this mitigation contribute in meeting the ultimate objective of the UNFCCC? (ii) Even if the low carbon growth scenarios do not harm expected economic growth, how fair are they from a social perspective? Do these scenarios reduce income inequality and poverty? How would these scenarios impact low income households? (iii) If the win-win or low carbon growth scenarios do not result in significant contributions in meeting the ultimate objective of the UNFCCC, what would be economic impacts of more stringent measures to reduce GHG emissions? How would such measures impact the economic growth, income distribution and poverty? (iv) How would these results change if climate change adaptation is also taken into consideration? Answering these questions is enormously important to client countries in defining their short and long-term strategies to address the global climate change.

Merchandise imports from low- and middle-income economies in South Asia (% of total merchandise imports) in India was reported at 0.83416 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Merchandise imports from developing economies in South Asia (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

In 2021, Macao had the highest estimated gross domestic product (GDP) growth with 33.5 percent, followed by the Maldives with an estimated GDP growth of 31.6 percent. Many economies were forecasted to have seen a decline in GDP in 2021, possibly due to COVID-19, reaching up to 1.8 percent in Myanmar. Nevertheless, almost economies were forecasted to recover in 2022 and 2023.

The economic state in Asia

In 2020, China led the Asia Pacific region in terms of GDP with approximately 14.7 trillion U.S. dollars, followed by India, South Korea, and Australia. In comparison, the GDP value for emerging and developing Asia was at aproximately 20.8 trillion international dollars in that year. In terms of GDP per capita, Singapore ranked the highest with approximately 59.8 U.S. dollars, followed by Australia with a per capita GDP of around 51.8 U.S. dollars.

Higher GDP growth for developing Asia Pacific countries

For 2022 and 2023, it was forecasted that Macao and the Maldives would have the highest GDP growth. Overall, Afghanistan had the highest predicted rise in GDP growth from 2021 to 2023. South Asia, Southeast Asia, and Southwest Asia were forecasted to be leading the region’s economic growth with comparably higher GDP growth rates. Developed countries including Australia, New Zealand and Japan were projected to have stagnant GDP growth.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Excluded populations living in Northeast states and remote islands and Jammu and Kashmir. The excluded areas represent less than 10 percent of the total population.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for India is 3000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.