In 2024, India’s real gross domestic product (GDP) growth rate was around **** percent, the highest in South Asia. In contrast, Nepal reported the lowest real GDP growth rate in the region at approximately **** percent that year, but it was forecasted to increase to **** percent in 2026.Economy in South Asia In general, South Asia encompasses Sri Lanka, Pakistan, Afghanistan, Bangladesh, Nepal, India and Bhutan. In 2020, India had a GDP of over *** trillion U.S. dollars, while Bangladesh and Sri Lanka followed. The Maldives and Bhutan were among the countries with the lowest GDP in the Asia-Pacific region. In South Asia, the main economic activities include the services sector as well as the industrial and manufacturing sectors.Society in South AsiaFrom the South Asian countries, Bangladesh had the highest share of people living below the poverty line. The Maldives and Sri Lanka exhibited the highest and second-highest GDP per capita among the South Asian countries in 2021.

The statistic shows the growth of the real gross domestic product (GDP) in India from 2020 to 2024, with projections up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. In 2024, India's real gross domestic product growth was at about 6.46 percent compared to the previous year. Gross domestic product (GDP) growth rate in India Recent years have witnessed a shift of economic power and attention to the strengthening economies of the BRIC countries: Brazil, Russia, India, and China. The growth rate of gross domestic product in the BRIC countries is overwhelmingly larger than in traditionally strong economies, such as the United States and Germany. While the United States can claim the title of the largest economy in the world by almost any measure, China nabs the second-largest share of global GDP, with India racing Japan for third-largest position. Despite the world-wide recession in 2008 and 2009, India still managed to record impressive GDP growth rates, especially when most of the world recorded negative growth in at least one of those years. Part of the reason for India’s success is the economic liberalization that started in 1991and encouraged trade subsequently ending some public monopolies. GDP growth has slowed in recent years, due in part to skyrocketing inflation. India’s workforce is expanding in the industry and services sectors, growing partially because of international outsourcing — a profitable venture for the Indian economy. The agriculture sector in India is still a global power, producing more wheat or tea than anyone in the world except for China. However, with the mechanization of a lot of processes and the rapidly growing population, India’s unemployment rate remains relatively high.

The Gross Domestic Product per capita in Pakistan was last recorded at 1643.68 US dollars in 2024. The GDP per Capita in Pakistan is equivalent to 13 percent of the world's average. This dataset provides - Pakistan GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Pakistan’s gross domestic product (GDP) growth was 5.77 percent in 2021 after adjusting for inflation.

GDP in developing nations

Gross domestic product measures value of all final goods and services produced within a country’s borders during a certain period of time. In developing countries, GDP should rise more quickly due to “catch-up growth”. In many developing nations, employment is shifted from agriculture to the services sector; simply shifting workers from one sector to more productive sectors increases the income of both the workers and their employers, increasing GDP. This raises GDP per capita (383750), which gives a general idea of the level of development.

International setting

Due to historic tensions, Pakistan neither imports nor exports a significant amount from its neighbor India, favoring China instead. Its other neighbors, Afghanistan and Iran, are not as economically stable at the moment. Pakistan's own GDP is also not in the best shape and is expected to drop during 2019, however, Pakistan stands to benefit from China’s Belt and Road Initiative, which would revive the trading routes that made Pakistan wealthy in past centuries. If this comes to fruition, the GDP for Pakistan is sure to increase.

Historical chart and dataset showing Pakistan GDP per capita by year from 1960 to 2023.

The gross domestic product (GDP) in current prices in Pakistan was approximately 373.08 billion U.S. dollars in 2024. Between 1980 and 2024, the GDP rose by around 334.46 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.This indicator describes the gross domestic product at current prices. The values are based upon the GDP in national currency converted to U.S. dollars using market exchange rates (yearly average). The GDP represents the total value of final goods and services produced during a year.

In 2023, agriculture contributed around 23.33 percent to the GDP of Pakistan, 20.68 percent came from the industry, and over half of the economy’s contribution to GDP came from the services sector. Divisions of the economy There are three main sectors of economy: The primary sector encompassed agriculture, fishing and mining. The secondary sector is the manufacturing sector, also known as the industry sector; and last but not least, the tertiary sector, alias the services sector, which includes services and intangible goods, like tourism, financial services, or telecommunications. Today, most developed countries have a well-established services sector that contributes the lion’s share to their GDP. On the other hand, economies that still need support and are still developing typically rely on agriculture to fuel their economy. If they transition to a developed nation, it is usually because their economy is now able to focus on services as an economic driver. Pakistan’s economic driver Although Pakistan is not considered a fully developed nation yet, over half of its annual GDP is now generated by the services sector. However, the primary sector plays an important role for the country: It is still responsible for almost a quarter of GDP contribution, and it employs almost half of Pakistan’s workforce. Pakistan is rich in arable land, which explains why the majority of the Pakistani population lives in rural areas, producing and selling sugarcane, wheat, cotton, and rice, which are also exported to other countries.

The gross domestic product (GDP) per capita in Pakistan amounted to approximately 1.58 thousand U.S. dollars in 2024. Between 1980 and 2024, the GDP per capita rose by around 1.10 thousand U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.This indicator describes the gross domestic product per capita at current prices. Thereby, the gross domestic product was first converted from national currency to U.S. dollars at current exchange rates and then divided by the total population. The gross domestic product is a measure of a country's productivity. It refers to the total value of goods and service produced during a given time period (here a year).

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

The ratio of national debt to gross domestic product (GDP) of Pakistan amounted to approximately 70.07 percent in 2024. Between 1994 and 2024, the ratio rose by around 11.54 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The ratio is forecast to decline by about 9.02 percentage points from 2024 to 2030, fluctuating as it trends downward.The general government gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. Here it is depicted in relation to the country's GDP, which refers to the total value of goods and services produced during a year.

Energy is a crucial development indicator of production, consumption, and nation-building. However, energy diversification highlighting renewables remains salient in economic development across developing economies. This study explores the economic impact of renewables (RE) and fossil fuel (NRE) utilization in 17 emerging nations. We use annual data with timeframe between 1980 and 2016 and propose a bootstrap panel causality approach with a Fourier function. This allows the examination of multiple structural breaks, cross-section dependence, and heterogeneity across countries. We validate four main hypotheses on the causal links attached to the energy consumption (EC)-growth nexus namely neutrality, conservation, growth, and feedback hypotheses. The findings reveal a causal relationship running from RE to GDP for Brazil, Egypt, Indonesia, Korea, Pakistan, and the Philippines, confirming the growth hypothesis. Besides, the results validate the conservation hypothesis with causality from GDP to RE for China, Colombia, Egypt, Greece, India, Korea, South Africa, and Turkey. We identify causality from NRE to GDP for Pakistan, Mexico, Malaysia, Korea, India, Greece, Egypt, and Brazil; and from GDP to NRE for Thailand, Peru, Malaysia, India, Greece, Egypt, and Colombia. We demonstrate that wealth creation can be achieved through energy diversification rather than relying solely on conventional energy sources.

Monthly data on remittance inflow to South Asian countries (Afghanistan, Bangladesh, Bhutan, India, the Maldives, Nepal, Pakistan, and Sri Lanka) from their partner countries is collected from January 2018 to December 2022 from the Central Bank database. As an alternative to monthly GDP data, monthly Industrial Production Index (IPI) data is used instead as a proxy for GDP. This is because monthly GDP data is not available. Monthly IPI data was collected from International Financial Statistics by the International Monetary Fund (IMF) for South Asian countries and partner countries (Singapore, Malaysia, Japan, Italy, and the UK). Libya and Middle Eastern nations, however, don't have monthly IPI statistics. Since the economies of those countries are heavily dependent on oil production, we created the Oil Production Index as a proxy for GDP. World Bank and EIA monthly crude oil price and production data are used to calculate Oil Production Index. Distance and standard gravity control variables like population, contiguity, and common language are taken from the Dynamic Gravity datasets constructed by the United States International Trade Commission. Migration stock data is collected from the Bureau of Manpower Employment and Training (BMET) and the International Organisation of Migration (IOM). We collect exchange rate data from the Central Bank dataset. To tackle the issue of different currency units, a Bilateral Exchange Rate Index (BERI) is constructed, where the exchange rate of each month for each country is divided by the exchange rate of the base year of that particular country. Furthermore, COVID cases, COVID mortality, and COVID vaccination data are collected from the Our World in Data website.

The study examines export impact of Pakistan’s integration into Shanghai Cooperation Organization (SCO) on its export’s performance. We apply Poisson Pseudo-Maximum Likelihood (PPML) on augmented gravity model to estimate trade data from the period before and after permanent membership with Shanghai Cooperation Organization in 2017. The study aims to explore changes in exports volume and analyze the key mechanism through which Shanghai Cooperation Organization promotes exports. The study assesses that after integration which key exports sector such as agriculture or manufacturing sectors are affected more significantly. The initial findings suggest that SCO integration positively affect and provide access to Central Asian markets, leading to modest but noticeable promotion in exports promotion. In heterogeneity analysis we find that exports of Pakistan are more significant with low and middle-income level countries compared to higher-income level countries. Additionally, exports in the manufacturing sector benefited more than in the agriculture sector. The significant and positive findings of mechanism analysis indicate that the belt and road (B&R) initiative and bilateral trade agreements are the key factors to enhanced exports. The overall impact remains moderated by structural changes in Pakistan economy, such as poor infrastructure, deficiency in energy sector and limited trade relations with its neighbors India and Iran. The study concludes that although the SCO integration has positively promoted exports of Pakistan however, it requires to address domestic economic constraints and capitalize more effectively the benefits of SCO membership through regional cooperation mechanism. For more potential benefits in the region SCO needs to expand B&R connectivity, encourage more trade agreements, and adopt favorable environment to attract high income countries in the organization. The study provides the base for future research in depth analysis of long-term impact of SCO integration on Pakistan exports.

The ratio of military expenditure to gross domestic product (GDP) in Afghanistan increased by 0.5 percentage points (+36.76 percent) in 2021 in comparison to the previous year. With 1.83 percent, the ratio thereby reached its highest value in the observed period. Military expenditure refers to the total amount of money spent on a country's armed forces, including peacekeeping and defense operations. This figure is then given as a share of its gross domestic product (not total government expenditure). When comparing international figures there may be some discrepancies depending on what countries consider military spending.Find more key insights for the ratio of military expenditure to gross domestic product (GDP) in countries like Pakistan and India.

The ratio of military expenditure to gross domestic product (GDP) in India increased by 0.1 percentage points (+4.24 percent) in 2023 in comparison to the previous year. In total, the ratio amounted to 2.44 percent in 2023. This increase was preceded by a declining ratio.Military expenditure figures refer to the amount of money spent on a country's armed forces, including peacekeeping and defense operations, among others. When comparing international figures, there may be some inconsistencies depending on what respective countries consider as military spending.Find more key insights for the ratio of military expenditure to gross domestic product (GDP) in countries like Pakistan and Afghanistan.

This report provides a region-wide analysis on the status of the digital economy in South Asia. It identifies opportunities and challenges for national and regional action to realize the transformational potential of digitalizing economies, societies, and governments. The report synthesizes and builds upon country assessments produced for Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. It follows the World Bank’s digital economy assessment framework, covering different dimensions of the digital economy from digital infrastructure and public platforms to digital financial services, skills, and the trust environment. It also discusses the opportunities and benefits of regional integration and collaboration.

In 2023, the ratio of military expenditure to gross domestic product (GDP) in Pakistan decreased by 0.4 percentage points (-12.66 percent) compared to 2022. The ratio thereby reached its lowest value in recent years. These figures refer to the total amount of money spent on a country's military, as a share of its gross domestic product (GDP). These figures apply to current expenditure on a country's armed forces, including peacekeeping forces and defense ministries, among others.Find more key insights for the ratio of military expenditure to gross domestic product (GDP) in countries like Afghanistan and India.

The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics.

The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details.

Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

Inflation Rate in Pakistan decreased to 3.20 percent in June from 3.50 percent in May of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Categorization of vessels-Recycling beneficiary owners (BO) are defined as the owning nations such as India,Pakistan, Bangladesh, China, and Turkey that mostly dismantle ships.-Popular flag BO represents nations that are familiar as popular flagging nations, such as Liberia, Panama and others.-Developing country BO represents nations that have GDP per capita lower than 8000 USD per year in 2016.-Developed country with facility represents nations that have GDP per capita above 800 USD per year in 2016 and possess a ship demolition facility. European countries (For example, UK, France, Netherlands etc.) fall into this category. -Countries that have high GDP per capita but have no ship demolition facility are included in the Developed country without facility category.-BO flag countries are those ships flagged by the owning nations.-Popular flag countries are top thirty countries that flagged most of the ships.-Non-popular flag countries are those nations that are not popular flag bearing countries.Source: Mizanur Rahman S.M. & Junbeum Kim, 2020. Circular economy, proximity, and shipbreaking: A material flow and environmental impact analysis. Journal of Cleaner Production, Elsevier, 2020, pp.120681.