The International Macroeconomic Data Set provides data from 1969 through 2030 for real (adjusted for inflation) gross domestic product (GDP), population, real exchange rates, and other variables for the 190 countries and 34 regions that are most important for U.S. agricultural trade. The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

The FAO Macro-Economic Indicators database provides country and regional-level macroeconomic indicators related to the total economy, agriculture, forestry, fishing, manufacturing, and specific sub-industries, including time series for national accounts variables like GDP and value-added.

The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details.

This collection includes only a subset of indicators from the source dataset.

****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 statistics are calculated daily based on the market expectations of roughly 130 banks, asset managers and other institutions (real sector companies, brokers, consultancies and others) that participate on the System of Market Expectations, by providing expectations for different price indicators, GDP and industrial production growth, exchange rate, Selic rate, fiscal variables and external sector indicators, published every first working day of the week. Market expectations are relative to the accredited institutions that authorized the release of their individual microdata, with the identification by the use of a code. Expectations are 1-year lagged. market-expectations market-expectations

The Department forecasts a number of macroeconomic aggregates for inclusion in the budget papers. These forecasts have three main purposes: they provide a framework for presenting the economic …Show full descriptionThe Department forecasts a number of macroeconomic aggregates for inclusion in the budget papers. These forecasts have three main purposes: they provide a framework for presenting the economic context in which the budget is developed; most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP. The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update): real GSP growth; level of nominal GSP; employment growth; unemployment rate; growth in the consumer price index; growth in the wage price index; and annual population growth.

The COVID-19 pandemic, and the exceptional measures taken by governments all around the world to contain it, took a serious toll on European economies. Consequently, almost all of the key macroeconomic indicators for the Eurozone showed a decreasing trend for 2020. In particular, average GDP of the 19 countries using euro as their currency fell by 6.5 percent during that year. Private consumption as well experienced a severe contraction of eight percent, with many businesses being shut down to enforce social distancing. In 2021, however, European economies managed to partially recover from this situation, as societies became more experienced in living side by side with the virus and mass distribution of vaccines began. Projections by the source suggest the continent is going to continue on this path of recovery.

In FY 2012/13, real GDP at market prices was projected to grow by 4.1%, as the economy continues to recover from the after effects of the recent global and regional shocks. This was an improvement compared to last FY 2011/12 growth of 3.4% due to the rebound in performance in formal manufacturing, mining and trade service sectors of the economy, as shown in table 1. However, this was below the target of 5.4% projected at the start of the FY 2012/13 a factor attributed to weak domestic demand coupled with slower implementation of key investment projects.

OECD countries full macroeconomic indicators

CPIA macroeconomic management rating (1=low to 6=high) in Senegal was reported at 4 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Senegal - CPIA macroeconomic management rating (1=low to 6=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

DTF forecasts a number of macroeconomic aggregates for inclusion in the budget papers.
These forecasts have three main purposes:

they provide a framework for presenting the economic context in which the budget is developed; most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP.

The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update):

real GSP growth; level of nominal GSP; employment growth; unemployment rate; growth in the consumer price index; growth in the wage price index; and annual population growth.

Dataset description

The datasets include mobility market indicators and macroeconomic indicators for Austria, which were used to calculate the Mobility as a Service (MaaS) Status Index (MSI). The MSI evaluates the readiness and potential for implementing Mobility as a Service (MaaS) in Austria. The datasets cover two distinct periods: 2017-2022 (T1) and 2023-2028 (T2). The indicators include annual revenues, vehicle costs, number of users, market shares, GDP per capita, urbanization rates, and investments in transportation infrastructure, among others.

Context and methodology

Each indicator is represented by the average annual growth rate, a mean value, and a normalized mean value (min-max-normalization) for period T1 and T2. The data were sourced from Statista (2024)

Technical details

The dataset contains two Microsoft Excel files (one for mobility market indicators, one for macroeconomic indicators). Other than Microsoft Excel, there is no additional software needed to investigate the data.

The Department forecasts a number of macroeconomic aggregates for inclusion in the budget papers. These forecasts have three main purposes: - they provide a framework for presenting the economic context in which the budget is developed; - most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and - forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP. The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update): - real GSP growth; - level of nominal GSP; - employment growth; - unemployment rate; - growth in the consumer price index; - growth in the wage price index; and - annual population growth.

This table shows the indicators of the macroeconomic scoreboard. Furthermore, some additional indicators are shown. To identify in a timely manner existing and potential imbalances and possible macroeconomic risks within the countries of the European Union in an early stage, the European Commission has drawn up a scoreboard with fourteen indicators. This scoreboard is part of the Macroeconomic Imbalance Procedure (MIP). This table contains quarterly and annual figures for both these fourteen indicators and nine additional indicators for the Netherlands.

The fourteen indicators in the macroeconomic scoreboard are: - Current account balance as % of GDP, 3 year moving average - Net international investment position, % of GDP - Real effective exchange rate, % change on three years previously - Share of world exports, % change on five years previously - Nominal unit labour costs, % change on three years previously - Deflated house prices, % change on one year previously - Private sector credit flow as % of GDP - Private sector debt as % of GDP - Government debt as % of GDP - Unemployment rate, three year moving average - Total financial sector liabilities, % change on one year previously - Activity rate, % of total population aged 15-64, change in percentage points on three years previously - Long-term unemployment rate, % of active population aged 15-74, change in percentage points on three years previously - Youth unemployment rate, % of active population aged 15-24, change in percentage points on three years previously

The additional indicators are: - Real effective exchange rate, index - Share of world exports, % - Nominal unit labour costs, index - Households credit flow as % of GDP - Non-financial corporations credit flow as % of GDP - Household debt as % of GDP - Non-financial corporations debt as % of GDP - Activity rate, % of total population aged 15-64 - Youth unemployment rate, % of active population aged 15-24

Data available from: first quarter of 2006.

Status of the figures: Annual and quarterly data are provisional.

Changes as of April 16th, 2025: The figures for the fourth quarter of 2025 have been added for all indicators. In addition, due to revisions in the sources, several indicators have also been updated for past periods.

Adjustment as of July 17th 2024: Data of the private sector’s credit flow and debt were not correct. They have been adjusted in this version.

When will new figures be published? New data are published within 120 days after the end of each quarter. The first quarter may be revised in October, the second quarter in January. Quarterly data for the previous three quarters are adjusted along when the fourth quarter figures are published in April. This corresponds with the first estimate of the annual data for the previous year. The annual and quarterly data for the last three years are revised together with the publication of the first quarter in July.

These forecasts have three main purposes: •they provide a framework for presenting the economic context in which the budget is developed; •most of the economic aggregates or their sub-components are …Show full descriptionThese forecasts have three main purposes: •they provide a framework for presenting the economic context in which the budget is developed; •most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and •forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP. The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update): •real GSP growth; •level of nominal GSP; •employment growth; •unemployment rate; •growth in the consumer price index; •growth in the wage price index; and •annual population growth.

The aging of the US population undoubtedly will be associated with macroeconomic changes. In particular, some combination of lower consumption growth and increased labor input will ultimately be required. But, the timing of these changes can have important effects on variables like the rate of return to capital and wages. If the adjustment to consumption is slow, which would be the case if budget deficits were allowed to rise significantly as the population ages, then aging is likely to be associated with an increase in the return to capital and a reduction in wages.

DTF forecasts a number of macroeconomic aggregates for inclusion in the budget papers.

These forecasts have three main purposes:

• they provide a framework for presenting the economic context in which the budget is developed;
• most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and
• forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP.

The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update):

• real GSP growth;
• level of nominal GSP;
• employment growth;
• unemployment rate;
• growth in the consumer price index;
• growth in the wage price index; and
• annual population growth.

This dataset shows the Macro Economic Key Data at Current Prices, 2010 - 2022 Malaysia footnote: The value for year 2021 is estimate. The value for year 2022 is preliminary. No. of Views : 146

The Department of Treasury and Finance forecasts a number of macroeconomic aggregates for inclusion in the budget papers.

These forecasts have three main purposes:

• they provide a framework for presenting the economic context in which the budget is developed;
• most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and
• forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP.

The data source contains the seven published aggregates for the budget papers (Budget and Budget Update):

• real GSP growth;
• level of nominal GSP;
• employment growth;
• unemployment rate;
• growth in the consumer price index;
• growth in the wage price index; and
• annual population growth.

Following a survey of 27 economists, the Central Bank of Russia forecast an average annual inflation rate of *** percent and a ***-percent growth in gross domestic product (GDP) in the country in 2025. For the following year, a lower inflation rate was projected. In 2027, the Central Bank forecast a GDP growth of *** percent and an annual key interest rate of ** percent.

These forecasts have three main purposes: •they provide a framework for presenting the economic context in which the budget is developed; •most of the economic aggregates or their sub-components are used in the modelling of taxation and other revenue lines; and •forecasts of nominal gross state product (GSP) are used to express key financial aggregates in relation to the size of the economy, such as non-financial public sector net debt to nominal GSP. The spreadsheet below contains the seven published aggregates for the budget papers (Budget and Budget Update): •real GSP growth; •level of nominal GSP; •employment growth; •unemployment rate; •growth in the consumer price index; •growth in the wage price index; and •annual population growth.