The Gross Domestic Product (GDP) in Indonesia expanded 5.02 percent in the fourth quarter of 2024 over the same quarter of the previous year. This dataset provides - Indonesia GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The statistic shows gross domestic product (GDP) per capita in Indonesia from 1987 to 2023, with projections up until 2029. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. In 2023, the GDP per capita in Indonesia amounted to around 4,942.36 U.S. dollars. Indonesia's gross domestic product on the rise Indonesia has the largest economy in Southeast Asia is considered one of the most important emerging market economies in the world. Indonesia is a member of the G-20 economies and a founding member of ASEAN. It has one of the largest gross domestic products in the world: In 2014, the Indonesian GDP was reported to exceed 856 billion U.S. dollars. GDP in Indonesia has been increasing rapidly and in 2011, it was estimated that it had grown by more than 6.4 percent in comparison to the previous year. That same year, global GDP amounted to more than 72 trillion U.S. dollars - with the exception of 2009, global GDP has been continuously increasing each year over the past decade. Based on purchasing power parity, Indonesia's share in the global GDP is significantly higher than that of other major economies, and in 2014 was almost on the same level with France and higher than the UK's share. According to a forecast by Goldman Sachs, Indonesia will be among the 15 countries with the largest gross domestic product worldwide by 2030. In addition, the gross domestic product per capita in Indonesia has also undergone a rapid increase. Over the past decade, GDP per capita in Indonesia has quadrupled, a remarkable feat seldom seen in any economy.

Key information about Indonesia Real GDP Growth

• The Gross Domestic Product (GDP) in Indonesia expanded 5.0 % YoY in Dec 2022, following a growth of 5.7 % in the previous quarter.
• Real GDP Growth YoY data in Indonesia is updated quarterly, available from Mar 1994 to Dec 2022, with an average rate of 5.1 %.
• The data reached an all-time high of 10.7 % in Jun 1994 and a record low of -18.3 % in Dec 1998.

CEIC calculates quarterly Real GDP Growth from quarterly Real GDP. The Central Bureau of Statistics provides Real GDP in local currency, at 2010 prices, based on SNA 2008. Real GDP Growth prior to Q1 2011 is calculated from Real GDP at 2000 prices and prior to Q1 2001 from Real GDP at 1993 prices, both based on SNA 1993. CEIC menghitung Pertumbuhan PDB Riil dari PDB Riil triwulanan. BPS menyediakan PDB Riil dalam mata uang dalam negeri, pada harga tahun 2010.


Related information about Indonesia Real GDP Growth

• In the latest reports, Nominal GDP of Indonesia reached 328.6 USD bn in Dec 2022.
• Its GDP deflator (implicit price deflator) increased 8.3 % in Dec 2022.
• GDP Per Capita in Indonesia reached 4,783.3 USD in Dec 2022.
• Its Gross Savings Rate was measured at 37.3 % in Dec 2022.
• For Nominal GDP contributions, Investment accounted for 27.6 % in Dec 2022.
• Public Consumption accounted for 9.9 % in Dec 2022.
• Private Consumption accounted for 52.8 % in Dec 2022.

The Gross Domestic Product (GDP) in Indonesia was worth 1371.17 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Indonesia represents 1.30 percent of the world economy. This dataset provides - Indonesia GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The gross domestic product (GDP) in current prices in Indonesia was forecast to continuously increase between 2024 and 2029 by in total 627.9 billion U.S. dollars (+44.77 percent). After the ninth consecutive increasing year, the GDP is estimated to reach 2 trillion U.S. dollars and therefore a new peak in 2029. 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.Find more key insights for the gross domestic product (GDP) in current prices in countries like Singapore, Vietnam, and Timor-Leste.

Full Year GDP Growth in Indonesia decreased to 5.03 percent in 2024 from 5.05 percent in 2023. This dataset includes a chart with historical data for Indonesia Full Year Gdp Growth.

In 2023, preliminary figures indicated that the manufacturing sector contributed approximately 18.67 percent of Indonesia's GDP, making it the largest contributor to the nation's economy. It was followed by the wholesale and retail trade and agricultural sectors. With its abundant resources, Indonesia ranks among the largest economies in the world. Economic development in Indonesia Indonesia’s GDP is expected to rise steadily until 2029, suggesting consistent economic growth. Resonating with this pattern, foreign direct investment in Indonesia has steadily increased over the past few years. However, the government still grapples with inflation rates and a budget deficit, with government revenue consistently lower than expenditure. Despite these challenges, Indonesia aims to become one of the top five largest economies globally by 2045. The manufacturing sector’s growth and investment Over the years, Indonesia has become an increasingly attractive destination for investments due to its economic expansion and large labor force. As of 2023, the GDP growth rate for Indonesia’s manufacturing sector was projected to be nearly five percent. Across the various segments of the sector, the highest investment value came from basic metals manufacturing, demonstrating its important role in driving industrial growth.

In 2022, the estimated total GDP of all ASEAN states amounted to approximately 3.67 trillion U.S. dollars, a significant increase from the previous years. In fact, the GDP of the ASEAN region has been skyrocketing for a few years now, reflecting the region’s thriving economy. Power in the EastThe Association of Southeast Asian Nations (ASEAN) comprises Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. It was established in 1967 among five of these countries (Indonesia, Malaysia, Thailand, Singapore, and the Philippines) to facilitate trade and economic growth, as well as promote cultural development and social structures in the region. To date, they have been joined by another five nations. The ASEAN marketThe founding of the ASEAN organization provides the collaborating nations with more autonomy and influence on the global economy than they would have had by themselves. Additionally, struggling participating countries, such as Laos, are given an opportunity to grow on an ASEAN single market.

The Gross Domestic Product per capita in Indonesia was last recorded at 4192.62 US dollars in 2023. The GDP per Capita in Indonesia is equivalent to 33 percent of the world's average. This dataset provides - Indonesia GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the GDP growth rate for the agriculture, forestry, and fishing sector in Indonesia was estimated to be around 1.3 percent. Indonesia is one of the world's largest agriculture nations and the sector is accounting for around 40 percent of its total employment.

In the first quarter of 2024, the real gross domestic product (GDP) of Russia grew by 5.4 percent compared to the same quarter of the previous year. The decline in GDP recorded between the second quarter of 2022 and the first quarter of 2023 was related to the economic impact of the war in Ukraine, in response to which Western countries imposed sanctions on Russia. However, the recent monthly GDP growth data reflects the resilience of the economy in the face of external pressure in the short term. GDP refers to the total market value of all goods and services produced within a country. It is an important indicator of economic strength. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. Trade with China has eased the sanctions’ pressure The dynamic trade relationship with China has likely played a key role in bolstering Russia's economic recovery, contributing to an over-three-percent GDP growth estimated for 2024. The importance of trade partnerships and their impact on GDP growth is underscored by the example of China's influence on both Russia's imports, especially of technology and equipment, and exports, particularly of fossil fuels. Russian economic growth in the global context Amid the global economic challenges posed by the COVID-19 pandemic and geopolitical disruptions such as the war in Ukraine, Russia's annual GDP growth was close to the global one, which was forecast to reach approximately 3.2 percent in 2024. Moreover, Russia was expected to become the fourth-fastest-growing economy in the G20 in that year, following India, Indonesia, and China.

Indonesia recorded a Government Debt to GDP of 39.30 percent of the country's Gross Domestic Product in 2023. This dataset provides - Indonesia Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This statistic shows the share of economic sectors in the gross domestic product (GDP) in Indonesia from 2013 to 2023. In 2023, the share of agriculture in Indonesia's gross domestic product was around 12.53 percent, industry contributed approximately 40.22 percent and the services sector contributed about 42.88 percent.

The Gross Domestic Product per capita in Indonesia was last recorded at 13889.88 US dollars in 2023, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Indonesia, when adjusted by Purchasing Power Parity is equivalent to 78 percent of the world's average. This dataset provides - Indonesia GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023, the gross domestic product growth rate for Indonesia's chemicals, pharmaceuticals, and botanical products manufacturing sector was estimated to be around 0.11 percent. This indicated a decrease compared to the growth in the previous year.

Key information about Indonesia External Debt: % of GDP

• Indonesia External Debt accounted for 30.4 % of the country's Nominal GDP in 2024, compared with the ratio of 29.8 % in the previous year.
• Indonesia External Debt: % of Nominal GDP data is updated yearly, available from Dec 2003 to Dec 2024.
• The data reached an all-time high of 58.3 % in Dec 2003 and a record low of 25.3 % in Dec 2011.

CEIC calculates External Debt as % of Nominal GDP from quarterly External Debt and annual Nominal GDP. Bank Indonesia provides External Debt in USD. Statistics Indonesia provides Nominal GDP in local currency based on SNA 2008. Bank Indonesia average market exchange rate is used for currency conversions. Nominal GDP prior to 2010 is based on SNA 1993.


Related information about Indonesia External Debt: % of GDP

• In the latest reports of Indonesia, Current Account recorded a deficit of 2.2 USD bn in Sep 2024.
• Foreign Direct Investment (FDI) increased by 7.5 USD bn in Sep 2024.
• Indonesia Direct Investment Abroad expanded by 2.3 USD bn in Sep 2024.
• Its Foreign Portfolio Investment increased by 10.8 USD bn in Sep 2024.
• The country's External Debt reached 424,848.6 in Dec 2024.
• The country's Nominal GDP was reported at 332.8 USD bn in Mar 2023.

Unemployment Rate in Indonesia decreased to 4.82 percent in the first quarter of 2024 from 5.32 percent in the third quarter of 2023. This dataset provides the latest reported value for - Indonesia Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Key information about Indonesia Motor Vehicles Sales Growth

• Indonesia Motor Vehicles Sales grew 2.2 % in Feb 2025, compared with a decrease of 11.2 % in the previous month.
• Indonesia Motor Vehicles Sales Growth rate is updated monthly, available from Jan 1990 to Feb 2025, with an average growth rate of 7.1 %.
• The data reached an all-time high of 1,443.6 % in May 2021 and a record low of -95.8 % in May 2020.
• Car Sales of Indonesia recorded 72,295.0 units in Feb 2025.

CEIC calculates monthly Motor Vehicles Sales Growth from monthly Motor Vehicles Sales. The Association of Indonesia Automotive Industries provides Motor Vehicles Sales.

Abstract

By the middle of the 1990s, Indonesia had enjoyed over three decades of remarkable social, economic, and demographic change and was on the cusp of joining the middle-income countries. Per capita income had risen more than fifteenfold since the early 1960s, from around US$50 to more than US$800. Increases in educational attainment and decreases in fertility and infant mortality over the same period reflected impressive investments in infrastructure.

In the late 1990s the economic outlook began to change as Indonesia was gripped by the economic crisis that affected much of Asia. In 1998 the rupiah collapsed, the economy went into a tailspin, and gross domestic product contracted by an estimated 12-15%-a decline rivaling the magnitude of the Great Depression.

The general trend of several decades of economic progress followed by a few years of economic downturn masks considerable variation across the archipelago in the degree both of economic development and of economic setbacks related to the crisis. In part this heterogeneity reflects the great cultural and ethnic diversity of Indonesia, which in turn makes it a rich laboratory for research on a number of individual- and household-level behaviors and outcomes that interest social scientists.

The Indonesia Family Life Survey is designed to provide data for studying behaviors and outcomes. The survey contains a wealth of information collected at the individual and household levels, including multiple indicators of economic and non-economic well-being: consumption, income, assets, education, migration, labor market outcomes, marriage, fertility, contraceptive use, health status, use of health care and health insurance, relationships among co-resident and non- resident family members, processes underlying household decision-making, transfers among family members and participation in community activities. In addition to individual- and household-level information, the IFLS provides detailed information from the communities in which IFLS households are located and from the facilities that serve residents of those communities. These data cover aspects of the physical and social environment, infrastructure, employment opportunities, food prices, access to health and educational facilities, and the quality and prices of services available at those facilities. By linking data from IFLS households to data from their communities, users can address many important questions regarding the impact of policies on the lives of the respondents, as well as document the effects of social, economic, and environmental change on the population.

The Indonesia Family Life Survey complements and extends the existing survey data available for Indonesia, and for developing countries in general, in a number of ways.

First, relatively few large-scale longitudinal surveys are available for developing countries. IFLS is the only large-scale longitudinal survey available for Indonesia. Because data are available for the same individuals from multiple points in time, IFLS affords an opportunity to understand the dynamics of behavior, at the individual, household and family and community levels. In IFLS1 7,224 households were interviewed, and detailed individual-level data were collected from over 22,000 individuals. In IFLS2, 94.4% of IFLS1 households were re-contacted (interviewed or died). In IFLS3 the re-contact rate was 95.3% of IFLS1 households. Indeed nearly 91% of IFLS1 households are complete panel households in that they were interviewed in all three waves, IFLS1, 2 and 3. These re-contact rates are as high as or higher than most longitudinal surveys in the United States and Europe. High re-interview rates were obtained in part because we were committed to tracking and interviewing individuals who had moved or split off from the origin IFLS1 households. High re-interview rates contribute significantly to data quality in a longitudinal survey because they lessen the risk of bias due to nonrandom attrition in studies using the data.

Second, the multipurpose nature of IFLS instruments means that the data support analyses of interrelated issues not possible with single-purpose surveys. For example, the availability of data on household consumption together with detailed individual data on labor market outcomes, health outcomes and on health program availability and quality at the community level means that one can examine the impact of income on health outcomes, but also whether health in turn affects incomes.

Third, IFLS collected both current and retrospective information on most topics. With data from multiple points of time on current status and an extensive array of retrospective information about the lives of respondents, analysts can relate dynamics to events that occurred in the past. For example, changes in labor outcomes in recent years can be explored as a function of earlier decisions about schooling and work.

Fourth, IFLS collected extensive measures of health status, including self-reported measures of general health status, morbidity experience, and physical assessments conducted by a nurse (height, weight, head circumference, blood pressure, pulse, waist and hip circumference, hemoglobin level, lung capacity, and time required to repeatedly rise from a sitting position). These data provide a much richer picture of health status than is typically available in household surveys. For example, the data can be used to explore relationships between socioeconomic status and an array of health outcomes.

Fifth, in all waves of the survey, detailed data were collected about respondents¹ communities and public and private facilities available for their health care and schooling. The facility data can be combined with household and individual data to examine the relationship between, for example, access to health services (or changes in access) and various aspects of health care use and health status.

Sixth, because the waves of IFLS span the period from several years before the economic crisis hit Indonesia, to just prior to it hitting, to one year and then three years after, extensive research can be carried out regarding the living conditions of Indonesian households during this very tumultuous period. In sum, the breadth and depth of the longitudinal information on individuals, households, communities, and facilities make IFLS data a unique resource for scholars and policymakers interested in the processes of economic development.

Geographic coverage

National coverage

Analysis unit

• Communities
• Facilities
• Households
• Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

Because it is a longitudinal survey, the IFLS3 drew its sample from IFLS1, IFLS2, IFLS2+. The IFLS1 sampling scheme stratified on provinces and urban/rural location, then randomly sampled within these strata (see Frankenberg and Karoly, 1995, for a detailed description). Provinces were selected to maximize representation of the population, capture the cultural and socioeconomic diversity of Indonesia, and be cost-effective to survey given the size and terrain of the country. For mainly costeffectiveness reasons, 14 of the then existing 27 provinces were excluded. The resulting sample included 13 of Indonesia's 27 provinces containing 83% of the population: four provinces on Sumatra (North Sumatra, West Sumatra, South Sumatra, and Lampung), all five of the Javanese provinces (DKI Jakarta, West Java, Central Java, DI Yogyakarta, and East Java), and four provinces covering the remaining major island groups (Bali, West Nusa Tenggara, South Kalimantan, and South Sulawesi).

Household Survey:

Within each of the 13 provinces, enumeration areas (EAs) were randomly chosen from a nationally representative sample frame used in the 1993 SUSENAS, a socioeconomic survey of about 60,000 households. The IFLS randomly selected 321 enumeration areas in the 13 provinces, over-sampling urban EAs and EAs in smaller provinces to facilitate urban-rural and Javanese-non-Javanese comparisons.

Within a selected EA, households were randomly selected based upon 1993 SUSENAS listings obtained from regional BPS office. A household was defined as a group of people whose members reside in the same dwelling and share food from the same cooking pot (the standard BPS definition). Twenty households were selected from each urban EA, and 30 households were selected from each rural EA.This strategy minimized expensive travel between rural EAs while balancing the costs of correlations among households. For IFLS1 a total of 7,730 households were sampled to obtain a final sample size goal of 7,000 completed households. This strategy was based on BPS experience of about 90% completion rates. In fact, IFLS1 exceeded that target and interviews were conducted with 7,224 households in late 1993 and early 1994.

IFLS3 Re-Contact Protocols The sampling approach in IFLS3 was to re-contact all original IFLS1 households having living members the last time they had been contacted, plus split-off households from both IFLS2 and IFLS2+, so-called target households (8,347 households-as shown in Table 2.1*) Main field work for IFLS3 went on from June through November, 2000. A total of 10,574 households were contacted in 2000; meaning that they were interviewed, had all members died since the last time they were contacted, or had joined another IFLS household which had been previously interviewed (Table 2.1*). Of these, 7,928 were IFLS3 target households and 2,646 were new split-off households. A 95.0% re-contact rate was thus achieved of all IFLS3 "target" households. The re-contacted households included 6,800 original 1993 households, or 95.3% of those. Of IFLS1 households, somewhat lower re-contact rates were achieved in Jakarta, 84.5%, and North Sumatra,