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Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced and sold (not resold) in a specific time period by countries.[2][3] Due to its complex and subjective nature this measure is often revised before being considered a reliable indicator. GDP (nominal) per capita does not, however, reflect differences in the cost of living and the inflation rates of the countries; therefore, using a basis of GDP per capita at purchasing power parity (PPP) may be more useful when comparing living standards between nations, while nominal GDP is more useful comparing national economies on the international market.[4] Total GDP can also be broken down into the contribution of each industry or sector of the economy.[5] The ratio of GDP to the total population of the region is the per capita GDP (also called the Mean Standard of Living).
Source: https://en.wikipedia.org/wiki/Gross_domestic_product
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The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.
This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.
The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.
How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?
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The interest rate set by the Federal Reserve is a crucial tool for promoting economic conditions that meet the mandate established by the United States Congress, which includes high employment, low and stable inflation, sustainable economic growth, and the moderation of long-term interest rates. The interest rates determined by the Fed directly influence the cost of credit, making financing either more accessible or more restrictive. When interest rates are low, there is a greater incentive for consumers to purchase homes through mortgages, finance automobiles, or undertake home renovations. Additionally, businesses are encouraged to invest in expanding their operations, whether by purchasing new equipment, modernizing facilities, or hiring more workers. Conversely, higher interest rates tend to curb such activity, discouraging borrowing and slowing economic expansion.
The dataset analyzed contains information on the economic conditions in the United States on a monthly basis since 1954, including the federal funds rate, which represents the percentage at which financial institutions trade reserves held at the Federal Reserve with each other in the interbank market overnight. This rate is determined by the market but is directly influenced by the Federal Reserve through open market operations to reach the established target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds rate target, which has been defined within a range with upper and lower limits since December 2008.
Furthermore, real Gross Domestic Product (GDP) is calculated based on the seasonally adjusted quarterly rate of change in the economy, using chained 2009 dollars as a reference. The unemployment rate represents the seasonally adjusted percentage of the labor force that is unemployed. Meanwhile, the inflation rate is determined by the monthly change in the Consumer Price Index, excluding food and energy prices for a more stable analysis of core inflation.
The interest rate data was sourced from the Federal Reserve Bank of St. Louis' economic data portal, while GDP information was provided by the U.S. Bureau of Economic Analysis, and unemployment and inflation data were made available by the U.S. Bureau of Labor Statistics.
The analysis of this data helps to understand how economic growth, the unemployment rate, and inflation influence the Federal Reserve’s monetary policy decisions. Additionally, it allows for a study of the evolution of interest rate policies over time and raises the question of how predictable the Fed’s future decisions may be. Based on observed trends, it is possible to speculate whether the target range set in March 2017 will be maintained, lowered, or increased, considering the prevailing economic context and the challenges faced in conducting U.S. monetary policy.
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This dataset contains historical quarterly data for the U.S. Real Gross Domestic Product, from the first quarter of 1947 to the Q2 2023. Real GDP is an inflation-adjusted measure that reflects the value of all goods and services produced by an economy in a given year, expressed in base-year prices, and is often considered an indicator of a country's standard of living.
The dataset has two columns:
Date: The end of the respective quarter (in MM/DD/0YYYY format). Value: The Real GDP at the end of the respective quarter.
Inspiration: Real GDP is a comprehensive measure of U.S. economic activity and a key tool for economic decision-making and forecasting. Real GDP is used by economists, policy-makers, researchers, and investors to understand the growth and performance of the U.S. economy over time.
Usability: The Real GDP data can be used for a variety of purposes:
Economic Analysis: It can be used for macroeconomic analysis and forecasting. Policy Understanding: It can help understand the impact and effectiveness of economic policies implemented by the U.S. government. Investment Analysis: GDP growth impacts financial markets, and this data can help investors understand and forecast market trends. Education: It can be used in classrooms for teaching economics, finance, and related disciplines.
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View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.
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TwitterA series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS) and the Office for Budget Responsibility (OBR). The GDP deflator set is updated after every ONS Quarterly National Accounts release (at the end of each quarter) and whenever the OBR updates its GDP deflator forecasts (usually twice a year).
Outturn data are the latest Quarterly National Accounts figures from the ONS, 20 December 2013. GDP deflators from 1955-56 to 2012-13 (1955 to 2012) have been taken directly from ONS Quarterly National Accounts implied deflator at market prices series http://www.ons.gov.uk/ons/datasets-and-tables/data-selector.html?cdid=L8GG&dataset=qna&table-id=N">L8GG.
Forecast data are consistent with the Autumn Statement, 05 December 2013.
The detail below aims to provide background information on the GDP deflator series and the concepts and methods underlying it.
GDP deflators can be used by anyone who has an interest in deflating current price nominal data into a “real terms” prices basis. This guide has been written with casual as well as professional users of the data in mind, using language and concepts aimed at as wide an audience as possible.
The GDP deflator can be viewed as a measure of general inflation in the domestic economy. Inflation can be described as a measure of price changes over time. The deflator is usually expressed in terms of an index, i.e. a time series of index numbers. Percentage changes on the previous year are also shown. The GDP deflator reflects movements of hundreds of separate deflators for the individual expenditure components of GDP. These components include expenditure on such items as bread, investment in computers, imports of aircraft, and exports of consultancy services.
The series allows for the effects of changes in price (inflation) to be removed from a time series, i.e. it allows the change in the volume of goods and services to be measured. The resultant series can be used to express a given time series or data set in real terms, i.e. by removing price changes.
A series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS). Forecasts are produced by the Office for Budgetary Responsibility (OBR) and are usually updated around the time of major policy announcements, namely; the Chancellor’s Autumn Statement, and the Budget.
GDP deflators for earlier years (up to and including the most recent year for which full quarterly data have been published) are presented to 3 decimal places. The index for future years has been removed as the forecasts were not as accurate as this detail would suggest. Percentage year-on-year changes are given to two decimal places for earlier years, forecast years are presented to 1 decimal place as published in the Autumn Statement and the Budget.
Gross Domestic Product (GDP) is a measure of the total domestic economic activity. It is the sum of all incomes earned by the production of goods and services within the UK economic territory. It is worth noting that where the earner of the income resides is irrelevant, so long as the goods or services themselves are produced within the UK. GDP is equivalent to the value added to the economy by this activity. Value added can be defined as income less intermediate
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Inflation Rate in Pakistan decreased to 6.10 percent in November from 6.20 percent in October 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.
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GDP (current US$) refers to the Gross Domestic Product measured in current United States dollars. It is a key economic indicator that represents the total monetary value of all goods and services produced within a country's borders in a specific time period, usually a year. This metric provides a comprehensive overview of a nation's economic activity and is widely used for comparing the economic performance of different countries. Calculated in current US dollars, GDP (current US$) takes into account inflation and exchange rate fluctuations, allowing for meaningful international comparisons of economic output and trends.
The World Bank National Accounts data refers to a comprehensive and reliable set of economic data compiled and maintained by the World Bank. These data files encompass a wide range of economic indicators, including GDP, for countries across the globe. The World Bank collects and analyzes national accounts data from various sources, such as government agencies and international organizations, to provide accurate and up-to-date information on economic activities, expenditures, and incomes within different countries. Researchers, policymakers, and analysts often rely on World Bank National Accounts data to assess economic performance, formulate policies, and conduct cross-country comparisons.
The OECD (Organization for Economic Co-operation and Development) National Accounts data files contain detailed economic information about OECD member countries and other major economies. These files include comprehensive data on GDP, consumption, investment, government spending, and other economic indicators. OECD collects and publishes these data to facilitate in-depth analysis of economic trends, policy evaluations, and international comparisons. Researchers, economists, and policymakers utilize OECD National Accounts data files to gain insights into the economic health of individual countries, identify patterns, and make informed decisions based on robust and standardized economic data.
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This dataset offers a comprehensive insight into the economic trajectories of nine major economies from the onset of the COVID-19 pandemic through the beginning of 2024. It encompasses crucial economic indicators and financial market data, covering aspects such as manufacturing and services performance, consumer sentiment, monetary policies, inflation rates, unemployment rates, and overall economic output. Additionally, it includes price data for each economy, with values compared against the dollar for clarity. With data spanning this period, the dataset provides valuable insights for analysts, researchers, and stakeholders into the impact of the pandemic and other significant events on these economies, facilitating an assessment of their resilience, challenges, and opportunities.
Countries included : Australia / Canada / China / Europe / Japan / New Zealand / Switzerland / United Kingdom / United States
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This dataset provides both quarterly and annual estimates of the value of the goods and services produced in Iowa as provided by the U.S. Department of Commerce, Bureau of Economic Analysis in tables SAGDP2N, SAGDP9N, SAGDP10N, SQGDP2, and SQGDP9. Annual data is available beginning in 1997, and quarterly beginning 2005. The data include breakdowns of industries' contributions. Quarterly estimates are presented as an annual rate.
Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.
Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars.
The annual per capita real GDP is also provided and is measured in chained dollars. In calculating the per capita real GDP, the real GDP is divided by the Census Bureau’s annual midyear (July 1) population estimates for the year.
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Twittercountry: Name of the country child_mort: Death of children under 5 years of age per 1000 live births exports: Exports of goods and services per capita. Given as %age of the GDP per capita health: Total health spending per capita. Given as %age of GDP per capita imports: Imports of goods and services per capita. Given as %age of the GDP per capita income: Net income per person inflation: The measurement of the annual growth rate of the Total GDP life_expec: The average number of years a newborn child would live if the current mortality patterns are to remain the same total_fer: The number of children that would be born to each woman if the current age-fertility rates stay the same gdpp: The GDP per capita. Calculated as the Total GDP divided by the total population
Target: We want to set Clusters, clustering the Countries by using Unsupervised Learning for HELP International Objective to categorize the countries using socio-economic and health factors that determine the overall development of the country.
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This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.
- Country: Name of the country.
- Density (P/Km2): Population density measured in persons per square kilometer.
- Abbreviation: Abbreviation or code representing the country.
- Agricultural Land (%): Percentage of land area used for agricultural purposes.
- Land Area (Km2): Total land area of the country in square kilometers.
- Armed Forces Size: Size of the armed forces in the country.
- Birth Rate: Number of births per 1,000 population per year.
- Calling Code: International calling code for the country.
- Capital/Major City: Name of the capital or major city.
- CO2 Emissions: Carbon dioxide emissions in tons.
- CPI: Consumer Price Index, a measure of inflation and purchasing power.
- CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
- Currency_Code: Currency code used in the country.
- Fertility Rate: Average number of children born to a woman during her lifetime.
- Forested Area (%): Percentage of land area covered by forests.
- Gasoline_Price: Price of gasoline per liter in local currency.
- GDP: Gross Domestic Product, the total value of goods and services produced in the country.
- Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
- Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
- Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
- Largest City: Name of the country's largest city.
- Life Expectancy: Average number of years a newborn is expected to live.
- Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
- Minimum Wage: Minimum wage level in local currency.
- Official Language: Official language(s) spoken in the country.
- Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
- Physicians per Thousand: Number of physicians per thousand people.
- Population: Total population of the country.
- Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
- Tax Revenue (%): Tax revenue as a percentage of GDP.
- Total Tax Rate: Overall tax burden as a percentage of commercial profits.
- Unemployment Rate: Percentage of the labor force that is unemployed.
- Urban Population: Percentage of the population living in urban areas.
- Latitude: Latitude coordinate of the country's location.
- Longitude: Longitude coordinate of the country's location.
- Analyze population density and land area to study spatial distribution patterns.
- Investigate the relationship between agricultural land and food security.
- Examine carbon dioxide emissions and their impact on climate change.
- Explore correlations between economic indicators such as GDP and various socio-economic factors.
- Investigate educational enrollment rates and their implications for human capital development.
- Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
- Study labor market dynamics through indicators such as labor force participation and unemployment rates.
- Investigate the role of taxation and its impact on economic development.
- Explore urbanization trends and their social and environmental consequences.
Data Source: This dataset was compiled from multiple data sources
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Inflation Rate in Poland decreased to 2.40 percent in November from 2.80 percent in October of 2025. This dataset provides the latest reported value for - Poland Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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TwitterGross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa reporting using an annual rate. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). Iowa GDP excludes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment. Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa.
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Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 4,770.000 USD in 2017. This records a decrease from the previous number of 5,420.000 USD for 2016. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 3,710.000 USD from Dec 1980 (Median) to 2017, with 23 observations. The data reached an all-time high of 7,030.000 USD in 1990 and a record low of 2,020.000 USD in 2006. Iraq IQ: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iraq – Table IQ.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average;
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The aim of the article is to compare health system outcomes in the BRICS countries, assess the trends of their changes in 2000−2017, and verify whether they are in any way correlated with the economic context. The indicators considered were: nominal and per capita current health expenditure, government health expenditure, gross domestic product (GDP) per capita, GDP growth, unemployment, inflation, and composition of GDP. The study covered five countries of the BRICS group over a period of 18 years. We decided to characterize countries covered with a dataset of selected indicators describing population health status, namely: life expectancy at birth, level of immunization, infant mortality rate, maternal mortality ratio, and tuberculosis case detection rate. We constructed a unified synthetic measure depicting the performance of individual health systems in terms of their outcomes with a single numerical value. Descriptive statistical analysis of quantitative traits consisted of the arithmetic mean (xsr), standard deviation (SD), and, where needed, the median. The normality of the distribution of variables was tested with the Shapiro–Wilk test. Spearman's rho and Kendall tau rank coefficients were used for correlation analysis between measures. The correlation analyses have been supplemented with factor analysis. We found that the best results in terms of health care system performance were recorded in Russia, China, and Brazil. India and South Africa are noticeably worse. However, the entire group performs visibly worse than the developed countries. The health system outcomes appeared to correlate on a statistically significant scale with health expenditures per capita, governments involvement in health expenditures, GDP per capita, and industry share in GDP; however, these correlations are relatively weak, with the highest strength in the case of government's involvement in health expenditures and GDP per capita. Due to weak correlation with economic background, other factors may play a role in determining health system outcomes in BRICS countries. More research should be recommended to find them and determine to what extent and how exactly they affect health system outcomes.
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Inflation Rate in Nigeria decreased to 16.05 percent in October from 18.02 percent in September of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Inflation Rate in Thailand decreased to -0.76 percent in October from -0.72 percent in September of 2025. This dataset provides the latest reported value for - Thailand Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Inflation Rate in Ethiopia decreased to 11.70 percent in October from 13.20 percent in September of 2025. This dataset provides the latest reported value for - Ethiopia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Inflation Rate in Ghana decreased to -0.40 percent in October from 9.40 percent in September of 2025. This dataset provides - Ghana Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Gross domestic product (GDP) is a monetary measure of the market value of all the final goods and services produced and sold (not resold) in a specific time period by countries.[2][3] Due to its complex and subjective nature this measure is often revised before being considered a reliable indicator. GDP (nominal) per capita does not, however, reflect differences in the cost of living and the inflation rates of the countries; therefore, using a basis of GDP per capita at purchasing power parity (PPP) may be more useful when comparing living standards between nations, while nominal GDP is more useful comparing national economies on the international market.[4] Total GDP can also be broken down into the contribution of each industry or sector of the economy.[5] The ratio of GDP to the total population of the region is the per capita GDP (also called the Mean Standard of Living).
Source: https://en.wikipedia.org/wiki/Gross_domestic_product