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

The statistic shows the growth rate of the real gross domestic product (GDP) in the United States from 2020 to 2024, with projections up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. In 2024, the growth of the real gross domestic product in the United States was around 2.8 percent compared to the previous year. See U.S. GDP per capita and the US GDP for more information. Real gross domestic product (GDP) of the United States The gross domestic product (GDP) of a country is a crucial economic indicator, representing the market value of the total goods and services produced and offered by a country within a year, thus serving as one of the indicators of a country’s economic state. The real GDP of a country is defined as its gross domestic product adjusted for inflation. An international comparison of economic growth rates has ranked the United States alongside other major global economic players such as China and Russia in terms of real GDP growth. With further growth expected during the course of the coming years, as consumer confidence continues to improve, experts predict that the worst is over for the United States economy. A glance at US real GDP figures reveals an overall increase in growth, with sporadic slips into decline; the last recorded decline took place in Q1 2011. All in all, the economy of the United States can be considered ‘well set’, with exports and imports showing positive results. Apart from this fact, the United States remains one of the world’s leading exporting countries, having been surpassed only by China and tailed by Germany. It is also ranked first among the top global importers. Despite this, recent surveys revealing Americans’ assessments of the U.S. economy have yielded less optimistic results. Interestingly enough, this consensus has been mutual across the social and environmental spectrum. On the other hand, GDP is often used as an indicator for the standard of living in a country – and most Americans seem quite happy with theirs.

Description:

This dataset provides key economic indicators from various countries between 2010 and 2023. The dataset includes monthly data on inflation rates, GDP growth rates, unemployment rates, interest rates, and stock market index values. The data has been sourced from reputable global financial institutions and is suitable for economic analysis, machine learning models, and forecasting economic trends.

Data Sources:

The data has been generated to simulate real-world economic conditions, mimicking information from trusted sources like: - World Bank for GDP growth and inflation data - International Monetary Fund (IMF) for macroeconomic data - OECD for labor market statistics - National Stock Exchanges for stock market index values

Columns:

1. Date: The specific date (in Year/Month/Day format) representing when the data was collected.
2. Country: The country the data pertains to (e.g., USA, Germany, Japan).
3. Inflation Rate (%): The rate of inflation for that country, showing how fast prices for goods and services are increasing.
4. GDP Growth Rate (%): The percentage growth of the country’s Gross Domestic Product (GDP), indicating economic expansion or contraction.
5. Unemployment Rate (%): The percentage of the working-age population that is unemployed.
6. Interest Rate (%): The central bank's interest rate, used to control inflation and influence the economy.
7. Stock Index Value: The value of the country’s main stock market index, reflecting the performance of the stock market.

Potential Uses: - Economic Analysis: Researchers and analysts can use this dataset to study trends in inflation, GDP growth, unemployment, and other economic factors. - Machine Learning: This dataset can be used to train models for predicting economic trends or market performance. Financial Forecasting: Investors and economists can leverage this data for forecasting market movements based on economic conditions. - Comparative Studies: The dataset allows comparisons across countries and regions, offering insights into global economic performance.

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.

****Dataset Overview**** This dataset contains historical macroeconomic data, featuring key economic indicators in the United States. It includes important metrics such as the Consumer Price Index (CPI), Retail Sales, Unemployment Rate, Industrial Production, Money Supply (M2), and more. The dataset spans from 1993 to the present and includes monthly data on various economic indicators, processed to show their rate of change (either percentage or absolute difference, depending on the indicator).

provenance

The data in this dataset is sourced from the Federal Reserve Economic Data (FRED) database, hosted by the Federal Reserve Bank of St. Louis. FRED provides access to a wide range of economic data, including key macroeconomic indicators for the United States. My work involved calculating the rate of change (ROC) for each indicator and reorganizing the data into a more usable format for analysis. For more information and access to the full database, visit FRED's website.

Purpose and Use for the Kaggle Community:

This dataset is a valuable resource for data scientists, economists, and analysts interested in understanding macroeconomic trends, performing time series analysis, or building predictive models. With the rate of change included, users can quickly assess the growth or contraction in these indicators month-over-month. This dataset can be used for:

• Exploratory Data Analysis (EDA): Understanding historical economic trends. -Time Series Forecasting: Building models to predict future economic conditions. -Macroeconomic Analysis: Analyzing the relationship between various economic indicators. -Machine Learning Projects: Using the data as features to predict financial or economic outcomes. -By utilizing this dataset, users can perform in-depth analysis on the impact of macroeconomic changes, compare the historical performance of various indicators, and experiment with different time series forecasting techniques.

****Column Descriptions****

Year: The year of the observation.

Month: The month of the observation (1-12).

Industrial Production: Monthly data on the total output of US factories, mines, and utilities.

Manufacturers' New Orders: Durable Goods: Measures the value of new orders placed with manufacturers for durable goods, indicating future production activity.

Consumer Price Index (CPIAUCSL): A measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services.

Unemployment Rate: The percentage of the total labor force that is unemployed but actively seeking employment.

Retail Sales: The total receipts of retail stores, indicating consumer spending and economic activity.

Producer Price Index: Measures the average change over time in the selling prices received by domestic producers for their output.

Personal Consumption Expenditures (PCE): A measure of the prices paid by consumers for goods and services, used in calculating inflation.

National Home Price Index: A measure of changes in residential real estate prices across the country.

All Employees, Total Nonfarm: The number of nonfarm payroll employees, an important indicator of the labor market.

Labor Force Participation Rate: The percentage of the working-age population that is either employed or actively looking for work.

Federal Funds Effective Rate: The interest rate at which depository institutions lend reserve balances to other depository institutions overnight.

Building Permits: The number of building permits issued for residential and non-residential buildings, a leading indicator of construction activity.

Money Supply (M2): The total money supply, including cash, checking deposits, and easily convertible near money.

Personal Income: The total income received by individuals from all sources, including wages, investments, and government transfers.

Trade Balance: The difference between a country's imports and exports, indicating the net trade flow.

Consumer Sentiment: The index reflecting consumer sentiment and expectations for the future economic outlook.

Consumer Confidence: A measure of how optimistic or pessimistic consumers are regarding their expected financial situation and the economy.

Notes on Interest Rates Please note that for the Federal Funds Effective Rate (FEDFUNDS), the dataset includes the absolute change in basis points (bps), not the rate of change. This means that the dataset reflects the direct change in the interest rate rather than the percentage change month-over-month. The change is represented in basis points, where 1 basis point equals 0.01%.

The labor participation rate among the total population aged between 15 and 64 in Mexico saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 66.13 percent. Nevertheless, 2024 still represents a peak in the labor participation rate in Mexico. The labor force participation rate is the share of people aged 15 and over who are economically active (i.e. employed or actively searching for work). It is calculated by dividing the economically active population aged 15 and over by the total population aged 15 and over.Find more statistics on other topics about Mexico with key insights such as employment level in services as a share of total employment.

In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

Data underlying comparisons of UK productivity against that of the remaining G7 countries.

United States US: GDP: PPP data was reported at 19,390,604.000 Intl $ mn in 2017. This records an increase from the previous number of 18,624,475.000 Intl $ mn for 2016. United States US: GDP: PPP data is updated yearly, averaging 11,892,799.000 Intl $ mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 19,390,604.000 Intl $ mn in 2017 and a record low of 5,979,589.000 Intl $ mn in 1990. United States US: GDP: PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current international dollars. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).; ; World Bank, International Comparison Program database.; Gap-filled total;

Economic production - Gross Domestic Product.

Vietnam: Economic growth: the rate of change of real GDP: The latest value from 2023 is 5.05 percent, a decline from 8.12 percent in 2022. In comparison, the world average is 3.43 percent, based on data from 184 countries. Historically, the average for Vietnam from 1985 to 2023 is 6.35 percent. The minimum value, 2.55 percent, was reached in 2021 while the maximum of 9.54 percent was recorded in 1995.

This table provides an international comparison of the performance of the economy. This is done by means of a number of broadly accepted economic indicators as gross domestic product and employed labour force. These indicators are complemented by a number of indicators on the quality of life and ecological sustainability.

Note: Comparable definitions are used to facilitate international comparisons of the figures. The definitions used here sometimes differ from definitions used by Statistics Netherlands. The figures in this table can differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.

Data available for: 1960, 1970, 1980 and from 1990 up to 2012.

Status of the figures: The external sources of these data frequently supply adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table.

Changes as of 1 March 2018: This table has been discontinued.

When will new figures be published? No longer applicable.

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.

Armenia: Shadow economy, percent of GDP: The latest value from 2015 is 35.96 percent, an increase from 34.78 percent in 2014. In comparison, the world average is 27.78 percent, based on data from 158 countries. Historically, the average for Armenia from 1991 to 2015 is 42.59 percent. The minimum value, 34.56 percent, was reached in 2013 while the maximum of 49.5 percent was recorded in 1992.

San Marino: Economic growth: the rate of change of real GDP: The latest value from 2022 is 7.9 percent, a decline from 13.9 percent in 2021. In comparison, the world average is 4.46 percent, based on data from 190 countries. Historically, the average for San Marino from 1998 to 2022 is 1.47 percent. The minimum value, -10.32 percent, was reached in 2009 while the maximum of 13.9 percent was recorded in 2021.

View LSEG's extensive Economic Data, including content that allows the analysis and monitoring of national economies with historical and real-time series.

In 2024, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.4 trillion U.S. dollars, whereas Mexico's amounted to almost two trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

In this paper we discuss a statistical method called multiple comparisons with the best, or MCB. Suppose that we have N populations, and population i has parameter value i. Let $\theta {(N)}={\rm max}{i=1,\ldots ,N}\theta _{i}$ opagenumbers\end, the parameter value for the best population. Then MCB constructs joint confidence intervals for the differences $[\theta _{(N)}-\theta _{1},\theta _{(N)}-\theta _{2},\ldots ,\theta _{(N)}-\theta _{N}]$ opagenumbers\end. It is not assumed that it is known which population is best, and part of the problem is to say whether any population is so identified, at the given confidence level. This paper is meant to introduce MCB to economists. We discuss possible uses of MCB in economics. The application that we treat in most detail is the construction of confidence intervals for inefficiency measures from stochastic frontier models with panel data. We also consider an application to the analysis of labour market wage gaps.

Description

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.

Key Features

• 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.

Potential Use Cases

• 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.

Across the United States, the United Kingdom, Germany, and the European Union, gross domestic products (GDP) decreased in 2020 as a result of the COVID-19 pandemic. However, by 2021, growth rates were positive in all four areas again. The United Kingdom, Germany, and the European Union all experiencing slow economic growth in 2023 amid high inflation, with Germany even seeing an economic recession. GDP and its components GDP refers to the total market value of all goods and services that are produced within a country per year. It is composed of government spending, consumption, business investments and net exports. It is an important indicator to measure the economic strength of a country. Economists rely on a variety of factors when predicting future performance of the GDP. Inflation rate is one of the economic indicators providing insight into the future behavior of households, which make up a significant proportion of GDP. Projections are based on the past performance of such information. Future considerations Some factors can be more easily predicted than others. For example, projections of the annual inflation rate of the United States are easy to come by. However, the intensity and impact of something like Brexit is difficult to predict. Moreover, the occurrence and impact of events such as the COVID-19 pandemic and Russia's war in Ukraine is difficult to foresee. Hence, actual GDP growth may be higher or lower than the original estimates.