The Gross Domestic Product (GDP) in Pakistan was worth 338.37 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Pakistan represents 0.32 percent of the world economy. This dataset provides - Pakistan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

By the year 2030, it is projected that China will eclipse the United States and have the largest gross domestic product (GDP) in the world, at 31.7 trillion U.S. dollars. The United States is projected to have the second largest GDP, at 22.9 trillion U.S. dollars.

What is gross domestic product?

Gross domestic product, or GDP, is an economic measure of a country’s production in time. It includes all goods and services produced by a country and is used by economists to determine the health of a country’s economy. However, since GDP just shows the size of an economy and is not adjusted for the country’s size, this can make direct country comparisons complicated.

The growth of the global economy

Currently, the United States has the largest GDP in the world, at 20.5 trillion U.S. dollars. China has the second largest GDP, at 13.4 trillion U.S. dollars. In the coming years, production will become faster and more global, which will help to grow the global economy.

In 2023, India’s real gross domestic product (GDP) growth rate was around 8.15 percent, the highest in South Asia. In contrast, Nepal reported the lowest real GDP growth rate in the region at approximately 1.95 percent that year, but it was forecasted to increase by 2.5 times to nearly 4.9 percent in 2025.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 2.6 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.

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.

Abstract

This research was conducted in Pakistan between January 2006 and December 2007. Data from 935 manufacturing and service sector registered establishments was analyzed.

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. The questionnaire also assesses the survey respondents' opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Kind of data

Sample survey data [ssd]

Sampling procedure

Establishments were selected using stratified random sampling design. The survey covered manufacturing and services sectors and generated a large enough sample size for selected industries to conduct statistically robust analyses. With level of precision at a minimum 7.5 percent for 90 percent confidence intervals about estimates of population proportions and mean of log sales at the national, provincial and industry level.

The sampling frame was drawn from the 2005 Economic Census of Pakistan, conducted by Pakistan's Federal Bureau of Statistics (FBS). As the target population was formal, urban manufacturing and services establishments with more than 5 full-time employees, the census identified 583,329 manufacturing firms and 1,566,722 establishments in Wholesale/Retail trade & Restaurants.

In accordance with the size and make up of the economy, the manufacturing sector was stratified into five 2-digit Pakistan Standard Industrial Classification (PSIC) sectors: (i) food processing, (ii) textiles, apparel & leather, (iii) chemicals and products, (iv) metal and electric machinery, and (v) sports goods and handicrafts with a residual stratum based on the 14 largest cities from the four provinces of the country. Services establishments engaged in wholesale & retail trade, hotels & restaurants were grouped to constitute an independent stratum for each provincial capital.

Within each industry, the total sample size was distributed to the provincial/city sub-strata based on proportional allocation in order to be representative of the nation, the industry groups and the urban areas of each of the four provinces. Given the domination of smaller firms in sample frame, a sampling approach which oversampled larger firms was employed to ensure a sufficient number of large enterprise which otherwise might be underrepresented.

The specific steps involved: (i) extracting from the frame and dividing into activity/industry groups with selection made in proportion to each group's contribution to total industrial employment, (ii) allocating the establishments selected in to each industry group across the provinces/cities selected using a proportional allocation, and (iii) selecting the establishments for each province/city sub-stratum with a probability of selection which is inversely proportional to size (i.e. larger firms will be selected with a higher probability). Due to the oversampling of larger firms, weights were computed so that inferences about the population could be extrapolated from the sample.

The Pakistan Enterprise Survey 2007 sample was also designed to include up to 600 firms from the original sample of Pakistan ICS 2002. Out of a total of 846 establishments surveyed in 2002 (panel firms with location and other identifiers). The remaining firms were kept as potential replacements in case of non-response by an establishment of similar characteristics in the original panel sample. In the end, 402 firms were interviewed out of 795 firms contacted.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Pakistan 2007 Manufacturing Sector Questionnaire; - Pakistan 2007 Services Sector Questionnaire.

The survey is fielded via two instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm.

The survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Response rate

The field work involved a sample of almost 2700 firms with more than 2300 firms contacted in order to complete the survey of 1337 firms - 57 percent success rate. Of the 1000 non-successful contacts, about 45 percent were not located due to poor contact information and 25 percent refused to participate. Of the rest, 20 percent were closed and 10 percent were either non-responsive or produced non-usable data. For the non-panel sample, the response rate was slightly higher at 60 percent, but of the 612 nonresponding firms, 55 percent were not found due to insufficient contact information, 21 percent refused participation, 11 percent were non-usable and 13 percent were confirmed as closed.

Key information about Pakistan Household Income per Capita

• Pakistan Annual Household Income per Capita reached 587.069 USD in Jun 2019, compared with the previous value of 650.644 USD in Jun 2016.
• Pakistan Annual Household Income per Capita data is updated yearly, available from Jun 2005 to Jun 2019, with an averaged value of 508.977 USD.
• The data reached an all-time high of 650.644 USD in Jun 2016 and a record low of 290.069 USD in Jun 2005.

CEIC calculates Annual Household Income per Capita from annual Monthly Average Household Income multiplied by 12 and annual Average Household Size and converts it into USD. The Pakistan Bureau of Statistics provides Average Household Income in local currency and Average Household Size. The State Bank of Pakistan average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year.

In 2023, agriculture contributed around 23.37 percent to the GDP of Pakistan, 20.76 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.

China consumes by far the most electricity of any country in the world, with more than 8,000 terawatt-hours equivalent consumed in 2023. The United States ranked as the second-leading electricity consumer that year, with over 4,000 terawatt-hours consumed. India followed, but by a wide margin. Large population, high consumption? The world's top three electricity consumers constitute the countries with the largest population. India has the largest population with over 1.4 billion people, while consuming less than one fifth of the electricity of China. Meanwhile, countries such as Pakistan and Nigeria, which boasted the fifth and sixth-largest population size worldwide, did not rank among the top 20 electricity consumers. GDP and electricity consumption Countries with a high GDP per capita like the United States provide their residents greater average purchasing power. Countries with higher-income residents tend to be more urbanized, leading to higher electricity consumption. The U.S. stands among the ten-largest electricity consumers per capita in the world, with Iceland and Norway leading the ranking.

This page displays a table with Pakistan Exports By Country in U.S. dollars, according to the United Nations COMTRADE database on international trade.