79 datasets found
  1. T

    Indonesia GDP Annual Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 5, 2025
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    TRADING ECONOMICS (2025). Indonesia GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/indonesia/gdp-growth-annual
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 2000 - Mar 31, 2025
    Area covered
    Indonesia
    Description

    The Gross Domestic Product (GDP) in Indonesia expanded 4.87 percent in the first quarter of 2025 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.

  2. T

    Indonesia GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Indonesia GDP [Dataset]. https://tradingeconomics.com/indonesia/gdp
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1967 - Dec 31, 2023
    Area covered
    Indonesia
    Description

    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.

  3. Breakdown of GDP share Indonesia 2023, by sector

    • statista.com
    • ai-chatbox.pro
    Updated Oct 24, 2024
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    Statista (2024). Breakdown of GDP share Indonesia 2023, by sector [Dataset]. https://www.statista.com/statistics/1019099/indonesia-gdp-contribution-by-industry/
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Indonesia
    Description

    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.

  4. Gross domestic product of the ASEAN countries from 2020 to 2030

    • statista.com
    • ai-chatbox.pro
    Updated Apr 15, 2025
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    Statista (2025). Gross domestic product of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796245/gdp-of-the-asean-countries/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, the estimated total GDP of all ASEAN states amounted to approximately 3.8 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.

  5. Share of economic sectors in the GDP in Indonesia 2013-2023

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Share of economic sectors in the GDP in Indonesia 2013-2023 [Dataset]. https://www.statista.com/statistics/319236/share-of-economic-sectors-in-the-gdp-in-indonesia/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    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.

  6. T

    Indonesia Inflation Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 2, 2025
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    TRADING ECONOMICS (2025). Indonesia Inflation Rate [Dataset]. https://tradingeconomics.com/indonesia/inflation-cpi
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 30, 1997 - May 31, 2025
    Area covered
    Indonesia
    Description

    Inflation Rate in Indonesia decreased to 1.60 percent in May from 1.95 percent in April of 2025. This dataset provides - Indonesia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Gross domestic product (GDP) growth rate in Russia quarterly 2018-2024

    • statista.com
    Updated Jun 21, 2024
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    Statista (2024). Gross domestic product (GDP) growth rate in Russia quarterly 2018-2024 [Dataset]. https://www.statista.com/statistics/276951/gross-domestic-product-gdp-growth-rate-in-russia-by-quarter/
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    Dataset updated
    Jun 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    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.

  8. Indonesia Motor Vehicles Sales Growth

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). Indonesia Motor Vehicles Sales Growth [Dataset]. https://www.ceicdata.com/en/indicator/indonesia/motor-vehicles-sales-growth
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Indonesia
    Description

    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.

  9. Inflation rate in Indonesia 2030

    • statista.com
    Updated Jun 15, 2015
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    Statista (2015). Inflation rate in Indonesia 2030 [Dataset]. https://www.statista.com/statistics/320156/inflation-rate-in-indonesia/
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    Dataset updated
    Jun 15, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    This statistic shows the average inflation rate in Indonesia from 1987 to 2024, with projections up until 2030. In 2024, the average inflation rate in Indonesia amounted to about 2.3 percent compared to the previous year. The global financial crisis and economic consequences The global economy underwent a drastic slump due to the global financial crisis in 2008, which caused a continued increase in the general level of prices of goods and services; the highest recorded global inflation of the past decade took place in 2008, when the global inflation rate increased by more than 6.4 percent in comparison with the previous year. As for Indonesia, the country's inflation rate amounted to around 9.8 percent in comparison to the previous year. The financial crisis also impacted the global unemployment rate. In 2009, the global unemployment rate jumped to around 6.2 percent, and it is not expected to recover to pre-crisis levels anytime soon. The financial crisis impact on the Indonesian economy was slightly more severe: In 2008, the unemployment rate in Indonesia was around 8.4 percent, much higher than the global unemployment rate for the same year. It has, however, now decreased significantly, even though it is still not below the global level, the country itself has reached lower levels than before the crisis. After the financial crisis, the Indonesian government implemented several economic reforms and increased exports in order to strengthen the economy. In 2011, Indonesia exported goods with a value of more than 200 billion U.S. dollars. The main export partners of Indonesia are Japan, China and Singapore. As a result of increased exports, the Indonesian economy was able to grow, making Indonesia one of the twenty nations in the world with the largest gross domestic product in 2015.

  10. w

    Indonesia - Family Life Survey 2000 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). Indonesia - Family Life Survey 2000 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/indonesia-family-life-survey-2000
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Indonesia
    Description

    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.

  11. H

    Data from: The influence of regional minimum wages on unemployment rates in...

    • dataverse.harvard.edu
    Updated Mar 19, 2025
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    Aditya Ramadan; Ageng Teguh; Antonia Roselina; Luthfia Andriastuti; Ernoiz Antriyandarti (2025). The influence of regional minimum wages on unemployment rates in Indonesia: Multiple linear regression analysis [Dataset]. http://doi.org/10.7910/DVN/0M3EVP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Aditya Ramadan; Ageng Teguh; Antonia Roselina; Luthfia Andriastuti; Ernoiz Antriyandarti
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Indonesia
    Description

    Background: This study investigates the influence of regional minimum wages (RMW), gross domestic product (GDP), and inflation on Indonesia's unemployment rates from 2012 to 2020. Methods: Multiple linear regression analysis examines the relationships between these economic variables. Findings: The findings reveal that RMW significantly negatively affects unemployment rates, indicating that a 1% increase in the minimum wage leads to a 3.951% decrease in unemployment, ceteris paribus. GDP also exhibits a significant negative influence, aligning with Okun's law, which suggests an inverse relationship between economic growth and unemployment. In contrast, inflation does not significantly impact unemployment rates during the studied period. Collectively, the three variables positively and significantly affect Indonesia's unemployment rate, with an adjusted R-squared value of 0.749. This implies that 74.9% of the variation in unemployment can be explained by GDP, inflation, and minimum wages, while other factors account for the remaining 25.1%. Conclusion: The study highlights the complex interplay between these macroeconomic indicators and unemployment, providing insights for policymakers to develop effective strategies for managing employment challenges in Indonesia. Novelty/Originality of this article: This empirical analysis reveals the dynamic relationship between RMW, GDP, inflation, and unemployment in Indonesia (2012—2020). The findings provide an evidence-based basis for formulating more effective and responsive employment and economic policies for Indonesia's labour market conditions.

  12. Indonesia - Human Development Indicators

    • data.amerigeoss.org
    csv
    Updated Jan 16, 2025
    + more versions
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    UN Humanitarian Data Exchange (2025). Indonesia - Human Development Indicators [Dataset]. https://data.amerigeoss.org/dataset/hdro-data-for-indonesia
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    csv(15828), csv(1636), csv(100582)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    Indonesia
    Description

    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'.

  13. I

    Indonesia Cement Market Report

    • researchaxiom.com
    doc, pdf, ppt
    Updated Jun 8, 2025
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    Research Axiom (2025). Indonesia Cement Market Report [Dataset]. https://www.researchaxiom.com/reports/indonesia-cement-market-18787
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 8, 2025
    Dataset authored and provided by
    Research Axiom
    License

    https://www.researchaxiom.com/privacy-policyhttps://www.researchaxiom.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Indonesia
    Variables measured
    Market Size
    Description

    The Indonesian cement market, a significant player in Southeast Asia's construction boom, is experiencing robust growth. While precise figures for market size and CAGR are unavailable in the provided data, industry reports suggest a market valued in the billions of USD in 2025, with a Compound Annual Growth Rate (CAGR) likely exceeding 5% through 2033. This growth is fueled by several key drivers: Indonesia's substantial infrastructure development projects (including roads, bridges, and housing initiatives), rapid urbanization leading to increased cement demand in construction of residential and commercial buildings, and a growing middle class with rising disposable incomes. Furthermore, government initiatives promoting sustainable development and infrastructure modernization contribute positively to market expansion. However, challenges remain. These include fluctuating raw material prices (like clinker and gypsum), potential environmental regulations impacting production costs and methods, and competition among numerous domestic and international cement players. The market is segmented by cement type (e.g., Portland cement, blended cement) and geographic region, with various companies competing for market share. Companies like Anhui Conch Cement, Bosowa Semen, Heidelberg Materials, and several Indonesian players dominate the landscape, employing various strategies to gain a competitive edge, including investments in capacity expansion, technological advancements, and strategic partnerships. The forecast period (2025-2033) anticipates continued expansion, although the rate of growth might moderate in later years due to potential market saturation in specific regions and the increasing adoption of alternative building materials. Nevertheless, the long-term outlook remains positive, driven by Indonesia's sustained economic growth and ongoing infrastructure development programs. Companies are expected to focus on efficiency improvements, technological innovations (like the use of alternative fuels), and sustainable practices to maintain profitability and meet evolving market demands. A key area of focus will be optimizing logistics and supply chains to mitigate the effects of fluctuating raw material costs and transportation challenges. Recent developments include: June 2023: SIG's subsidiary PT Semen Baturaja Tbk announced to expand its cement production capacity to 3.8 million tons of cement per year through three factories in Palembang and Baturaja City, Ogan Komering Ulu (OKU) Regency, South Sumatra, Panjang, Bandar Lampung in Indonesia.January 2023: Heidelburg Material's subsidiary, PT Indocement Tunggal Prakarsa Tbk, introduced a new cement product, Semen Jempolan, to support the government's environmentally friendly cement production program.January 2023: Semen Indonesia (SIG) acquired an 83.52% stake in Solusi Bangun Indonesia, which has a 14.8 Mt/yr of cement production capacity, strengthening its cement business in Indonesia.. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  14. I

    Indonesia Box Truck Market Report

    • datamarketview.com
    doc, pdf, ppt
    Updated Jun 8, 2025
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    Data Market View (2025). Indonesia Box Truck Market Report [Dataset]. https://www.datamarketview.com/reports/indonesia-box-truck-market-15189
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 8, 2025
    Dataset authored and provided by
    Data Market View
    License

    https://www.datamarketview.com/privacy-policyhttps://www.datamarketview.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Indonesia
    Variables measured
    Market Size
    Description

    The Indonesian box truck market, valued at approximately $XX million in 2025 (assuming a logical extrapolation based on the provided CAGR of 3.2% and market size at an unspecified previous year), exhibits a steady growth trajectory projected to continue through 2033. This expansion is fueled by several key factors. Firstly, Indonesia's robust economic growth and burgeoning e-commerce sector are driving increased demand for efficient last-mile delivery solutions. The expanding infrastructure projects across the archipelago also contribute significantly to this demand, particularly for medium and heavy-duty box trucks involved in construction and material transportation. Furthermore, the government's initiatives to improve logistics and transportation infrastructure are creating a more favorable environment for the industry. The market is segmented by propulsion type (Internal Combustion Engine and Electric), application (Industrial, Commercial, and Others), and truck capacity (Light-Duty, Medium, and Heavy-Duty). While Internal Combustion Engine (ICE) vehicles currently dominate, the increasing adoption of electric vehicles is anticipated, driven by environmental concerns and government incentives. However, challenges remain. The high cost of electric vehicles and limited charging infrastructure pose obstacles to wider EV adoption. Fluctuations in fuel prices and the overall economic climate can also impact market growth. Competition among established players like Hino Motors Ltd, Isuzu Motor Co Ltd, General Motors, Mitsubishi Fuso, Fiat Chrysler Automobiles, Mercedes-Benz, Iveco, and Ford, necessitates continuous innovation and strategic positioning to maintain market share. The market's future trajectory will depend heavily on the successful navigation of these challenges and capitalizing on the growth opportunities presented by Indonesia's dynamic economic landscape. Further segmentation analysis could reveal more nuanced insights into specific areas of high growth potential. For example, focusing on refrigerated box trucks serving the growing food and beverage industry could prove beneficial. Recent developments include: In August 2022, REE Automotive introduced P7-B, a class 3 box truck built on a P7 cab chassis. The box truck has a maximum speed of 120kph, a max range of 241km, and up to 2,000kg payload., In April 2022, Mitsubishi Fuso introduced a new lineup of Euro 4-compliant light-duty truck (2-ton) and mid-duty (4-ton) trucks for Indonesia.. Key drivers for this market are: Increasing Adoption of 2-wheelers across the Globe. Potential restraints include: Rise in demand of Electric Vehicles. Notable trends are: Rise in residential and Commercial Transportation.

  15. i

    World Bank Country Survey 2012 - Indonesia

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    Public Opinion Research Group (2019). World Bank Country Survey 2012 - Indonesia [Dataset]. https://datacatalog.ihsn.org/catalog/4445
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2012
    Area covered
    Indonesia
    Description

    Abstract

    The World Bank is interested in gauging the views of clients and partners who are either involved in development in Indonesia or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Indonesia, more in-depth insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Indonesia. The World Bank commissioned an independent firm to oversee the logistics of this effort in Indonesia.

    The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Indonesia perceive the Bank; - Obtain systematic feedback from stakeholders in Indonesia regarding: · Their views regarding the general environment in Indonesia; · Their overall attitudes toward the World Bank in Indonesia; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Indonesia; and · Perceptions of the World Bank's future role in Indonesia. - Use data to help inform the Indonesia country team's strategy.

    Geographic coverage

    National

    Analysis unit

    Stakeholder

    Universe

    Stakeholders of the World Bank in Indonesia

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In March and April 2012, 866 stakeholders of the World Bank in Indonesia were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President; the office of a Minister/Coordinating Minister; the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/contractors working on World Bank supported projects/programs; project management units (PMUs) overseeing implementation of project; local government officials or staff; bilateral agencies; multilateral agencies; private sector organizations; private foundations; financial sector/private banks; NGOs; community based organizations; the media; independent government institutions; trade unions; faith-based groups; academia, research institutes or think tanks; and the judiciary branch.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Questionnaire consists of 8 Sections:

    A. General Issues facing Indonesia: Respondents were asked to indicate whether Indonesia is headed in the right direction, what they thought were the top three most important development priorities, and which areas would contribute most to poverty reduction and economic growth in Indonesia.

    B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank’s effectiveness in Indonesia, the extent to which the Bank meets Indonesia’s need for knowledge services and financial instruments, the extent to which the Bank should and does seek to influence the global development agenda, their agreement with various statements regarding the Bank’s work in Indonesia, and the extent to which the Bank is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank’s greatest values and greatest weaknesses in its work, the Bank instruments that are most and least effective in reducing poverty, with which groups the Bank should work more, and to what reasons respondents attributed failed or slow reform efforts.

    C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank’s work helps achieve sustainable development results in Indonesia and the Bank’s level of effectiveness across thirty-four development areas, such as poverty reduction, anti-corruption, and economic growth.

    D. The World Bank’s Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts and to rate the effectiveness and quality of the Bank’s knowledge/research, including how significant of a contribution the Bank’s knowledge and research make to development results, the technical quality of the Bank’s knowledge/ research, and the Bank’s effectiveness at providing linkage to non-Bank expertise.

    E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the Bank disbursing funds promptly, the World Bank safeguard policies requirements being reasonable, and working with the World Bank increasing Indonesia’s institutional capacity.

    F. The Future Role of the World Bank in Indonesia: Respondents were asked to rate how significant a role the Bank should play in Indonesia’s development over the medium term and to indicate what the Bank should do to make itself of greater value in Indonesia.

    G. Communication and Information Sharing: Respondents were asked to indicate where they get information about economic and social development issues, how they prefer to receive information from the Bank, and their access to the Internet. Respondents were asked about their awareness of the Bank’s Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank’s Open Data policy. Respondents were asked to indicate their usage and evaluation of the Bank’s website and PICs. Respondents were also asked their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

    H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Indonesia, and their geographic location.

    Response rate

    A total of 265 stakeholders participated in the country survey (31%).

  16. w

    Global Financial Inclusion (Global Findex) Database 2017 - Indonesia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 31, 2018
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2018). Global Financial Inclusion (Global Findex) Database 2017 - Indonesia [Dataset]. https://microdata.worldbank.org/index.php/catalog/3361
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    Dataset updated
    Oct 31, 2018
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Indonesia
    Description

    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

    National coverage.

    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 1000.

    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

  17. F

    Interest Rates: 3-Month or 90-Day Rates and Yields: Interbank Rates: Total...

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
    + more versions
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    (2025). Interest Rates: 3-Month or 90-Day Rates and Yields: Interbank Rates: Total for Indonesia [Dataset]. https://fred.stlouisfed.org/series/IR3TIB01IDM156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Interest Rates: 3-Month or 90-Day Rates and Yields: Interbank Rates: Total for Indonesia (IR3TIB01IDM156N) from Jan 1998 to Apr 2025 about Indonesia, interbank, 3-month, yield, interest rate, interest, and rate.

  18. d

    Executive Agreements Database, Statement Regarding Amendment No. 3 to the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 19, 2023
    + more versions
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    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith (2023). Executive Agreements Database, Statement Regarding Amendment No. 3 to the Strategic Objective Grants Agreement Between The United States and Indonesia For Economic Growth Signed At Jakarta September 28, 2001 [Dataset]. http://doi.org/10.7910/DVN/2BAFU4
    Explore at:
    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Oona A. Hathaway; Curtis A. Bradley; Jack L. Goldsmith
    Description

    KAV 6657 cover memo. Visit https://dataone.org/datasets/sha256%3A599c96648bef5b15187ea9c9502678b4ffbeb1eea039cd8caaf01699901a1d20 for complete metadata about this dataset.

  19. T

    Indonesia Loan Growth

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated May 21, 2025
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    TRADING ECONOMICS (2025). Indonesia Loan Growth [Dataset]. https://tradingeconomics.com/indonesia/loan-growth
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1981 - Apr 30, 2025
    Area covered
    Indonesia
    Description

    The value of loans in Indonesia increased 8.88 percent in April of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Indonesia Loan Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. I

    Indonesia Cement Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 1, 2025
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    Market Report Analytics (2025). Indonesia Cement Market Report [Dataset]. https://www.marketreportanalytics.com/reports/indonesia-cement-market-103357
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Indonesia
    Variables measured
    Market Size
    Description

    The Indonesian cement market, valued at approximately $X billion in 2025 (assuming a reasonable market size based on regional comparisons and growth rates), is projected to experience robust growth over the forecast period (2025-2033). This growth is fueled by several key drivers. Firstly, significant infrastructure development initiatives undertaken by the Indonesian government, including the construction of roads, bridges, and public buildings, are creating substantial demand for cement. Secondly, the burgeoning residential construction sector, driven by a growing population and rising urbanization, is another significant contributor to market expansion. Thirdly, the increasing adoption of blended cements and other innovative cement types, offering improved performance and sustainability, is shaping market dynamics. While the market faces challenges such as fluctuating raw material prices and potential environmental regulations, the overall positive outlook is reinforced by continued economic growth and government support for infrastructure projects. The market segmentation reveals that infrastructure and residential sectors represent the largest consumers of cement, with commercial and industrial applications holding significant shares as well. Ordinary Portland cement remains the dominant product type, although the share of blended cement and fiber cement is steadily increasing, reflecting a growing focus on sustainability and cost-effectiveness. Key players in the Indonesian cement market, including Anhui Conch Cement, Bosowa Semen, Heidelberg Materials, and several Indonesian companies, are actively investing in capacity expansion and technological upgrades to capitalize on the market's growth potential. Competition is fierce, prompting companies to innovate in product offerings and distribution strategies. Furthermore, regional variations in demand exist, with the most developed regions naturally exhibiting higher consumption. Consistent growth is anticipated throughout the forecast period, driven by the ongoing infrastructure projects and increasing urbanization. Recent developments include: June 2023: SIG's subsidiary PT Semen Baturaja Tbk announced to expand its cement production capacity to 3.8 million tons of cement per year through three factories in Palembang and Baturaja City, Ogan Komering Ulu (OKU) Regency, South Sumatra, Panjang, Bandar Lampung in Indonesia.January 2023: Heidelburg Material's subsidiary, PT Indocement Tunggal Prakarsa Tbk, introduced a new cement product, Semen Jempolan, to support the government's environmentally friendly cement production program.January 2023: Semen Indonesia (SIG) acquired an 83.52% stake in Solusi Bangun Indonesia, which has a 14.8 Mt/yr of cement production capacity, strengthening its cement business in Indonesia.. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

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TRADING ECONOMICS (2025). Indonesia GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/indonesia/gdp-growth-annual

Indonesia GDP Annual Growth Rate

Indonesia GDP Annual Growth Rate - Historical Dataset (2000-09-30/2025-03-31)

Explore at:
23 scholarly articles cite this dataset (View in Google Scholar)
json, xml, excel, csvAvailable download formats
Dataset updated
May 5, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Sep 30, 2000 - Mar 31, 2025
Area covered
Indonesia
Description

The Gross Domestic Product (GDP) in Indonesia expanded 4.87 percent in the first quarter of 2025 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.

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