This statistic shows the average annual change in real GDP per capita in the United States from President Hoover to Obama, as of 2011. The biggest economic growth happened during Franklin D. Roosevelt's presidency. The Real Gross Domestic Product per capita increased by 5.25 percent each year.

Additional information on President Barack Obama’s first term economic policy performance

“It’s the economy, stupid” as the now famous saying by former President Bill Clinton goes is often used to demonstrate the importance continuants place on the economy’s performance. Appointed to President of the United States in 2008, President Obama entered the job in the early stages of a global economic crisis. The unemployment rate in the United States since 1990 demonstrates that Obama oversaw a reduction in unemployment rate since an initially sharp increase to over 9 percent in 2009 and 2010. Prior to the reduction, public approval of President Obama and the Republicans in congress in handling the economy shows that the public’s trust in Obama waned from 61 percent in February 2009 to 42 percent in November 2011. The fluctuation of America’s economy meant that Obama’s first term saw him reach an average of 76 thousand private sector jobs created per month as of June 2012, leaving him sixth in private sector job creation on the list of post-war presidents.

As leader of the most economically influential country on the planet, praise and criticism of Obama’s economic performance is also a global issue. In 2012, opinion on Obama’s management of global economic issues by country demonstrates the variety in opinion held in and across countries. While countries such as Britain and Germany whose economies appeared to be recovering held Obama’s economic policy in a positive light, opinion was more negative in Egypt and Greece were the economic situation was less optimistic.

Adding to national debt is an inevitable fact of being President of the United States. The extent to which debt rises under any sitting president depends not only on the policy and spending choices they have made, but also the choices made by presidents and congresses that have come before them. Ronald Reagan and George W. Bush President Ronald Reagan increased the U.S. debt by around **** trillion U.S. dollars, or ****** percent. This is often attributed to "Reaganomics," in which Reagan implemented significant supply-side economic policies in which he reduced government regulation, cut taxes, and tightened the money supply. Spending increased under President George W. Bush in light of the wars in Iraq and Afghanistan. To finance the wars, President Bush chose to borrow the money, rather than use war bonds or increase taxes, unlike previous war-time presidents. Additionally, Bush introduced a number of tax cuts, and oversaw the beginning of the 2008 financial crisis. Barack Obama President Obama inherited both wars in Iraq and Afghanistan, and the financial crisis. The Obama administration also did not increase taxes to pay for the wars, and additionally passed expensive legislation to kickstart the economy following the economic crash, as well as the Affordable Care Act in 2010. The ACA expanded healthcare coverage to cover more than ** million more Americans through programs like Medicare and Medicaid. Though controversial at the time, more than half of Americans have a favorable view of the ACA in 2023. Additionally, he signed legislation making the W. Bush-era tax cuts permanent.

The Gross Domestic Product (GDP) in the United States contracted 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As of the third quarter of 2024, the GDP of the U.S. grew by 2.8 percent from the second quarter of 2024. GDP, or gross domestic product, is effectively a count of the total goods and services produced in a country over a certain period of time. It is calculated by first adding together a country’s total consumer spending, government spending, investments and exports; and then deducting the country’s imports. The values in this statistic are the change in ‘constant price’ or ‘real’ GDP, which means this basic calculation is also adjusted to factor in the regular price changes measured by the U.S. inflation rate. Because of this adjustment, U.S. real annual GDP will differ from the U.S. 'nominal' annual GDP for all years except the baseline from which inflation is calculated. What is annualized GDP? The important thing to note about the growth rates in this statistic is that the values are annualized, meaning the U.S. economy has not actually contracted or grown by the percentage shown. For example, the fall of 29.9 percent in the second quarter of 2020 did not mean GDP is suddenly one third less than a year before. In fact, it means that if the decline seen during that quarter continued at the same rate for a full year, then GDP would decline by this amount. Annualized values can therefore exaggerate the effect of short-term economic shocks, as they only look at economic output during a limited period. This effect can be seen by comparing annualized quarterly growth rates with the annual GDP growth rates for each calendar year.

The United States recorded a Government Debt to GDP of 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2023 the real gross domestic product (GDP) of the United States increased by 2.5 percent compared to 2022. This rate of annual growth indicates a return to economy normalcy after 2020 saw a dramatic decline in the GDP growth rate due to the the coronavirus (COVID-19) pandemic, and high growth in 2021.

What does GDP growth mean?

Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022.

Countries with highest GDP growth rate

Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

Key information about Tajikistan Real GDP Growth

• The Gross Domestic Product (GDP) in Tajikistan expanded 8.4 % YoY in Dec 2024, following a growth of 8.4 % in the previous quarter.
• Real GDP Growth YoY data in Tajikistan is updated quarterly, available from Mar 2000 to Dec 2024, with an average rate of 7.3 %.
• The data reached an all-time high of 12.6 % in Sep 2004 and a record low of 2.7 % in Sep 2009.

Agency on Statistics under the President of the Republic of Tajikistan provides quarterly Real GDP Growth.


Related information about Tajikistan Real GDP Growth

• In the latest reports, Nominal GDP of Tajikistan reached 2.2 USD bn in Mar 2023.
• Its GDP deflator (implicit price deflator) increased 5.5 % in Mar 2023.
• GDP Per Capita in Tajikistan reached 1,131.2 USD in Dec 2022.
• Its Gross Savings Rate was measured at 37.9 % in Dec 2022.
• For Nominal GDP contributions, Investment accounted for 35.5 % in Dec 2022.
• Public Consumption accounted for 10.1 % in Dec 2022.
• Private Consumption accounted for 87.6 % in Dec 2022.

Key information about Tajikistan Nominal GDP Growth

• Tajikistan Nominal GDP Growth was reported at 23.985 % in Dec 2024.
• This records an increase from the previous number of 14.709 % for Sep 2024.
• Tajikistan Nominal GDP Growth data is updated quarterly, averaging 24.356 % from Mar 1994 to Dec 2024, with 124 observations.
• The data reached an all-time high of 950.000 % in Mar 1994 and a record low of -17.284 % in Sep 2013.
• Tajikistan Nominal GDP Growth data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Nominal GDP: Y-o-Y Growth: Quarterly.

CEIC calculates quarterly Nominal GDP Growth from quarterly Nominal GDP. Аgency on Statistics under the President of the Republic of Tajikistan provides Nominal GDP in local currency.

This table contains key information about Chad’s government. It contains Chad’s core political and economic data through an informative table detailing key indicators, such as population, GDP, government structure, Age of President, President’s tenure, if the country is actively in a military regime, and democracy metrics.

Graph and download economic data for Federal Surplus or Deficit [-] as Percent of Gross Domestic Product (FYFSGDA188S) from 1929 to 2024 about budget, federal, GDP, and USA.

GDP per Capita: Annualized: Quarterly data was reported at 7,049.000 TJS in Mar 2018. This records an increase from the previous number of 6,883.800 TJS for Dec 2017. GDP per Capita: Annualized: Quarterly data is updated quarterly, averaging 2,417.800 TJS from Mar 2000 (Median) to Mar 2018, with 73 observations. The data reached an all-time high of 7,049.000 TJS in Mar 2018 and a record low of 39.661 TJS in Mar 2000. GDP per Capita: Annualized: Quarterly data remains active status in CEIC and is reported by Аgency on Statistics under the President of the Republic of Tajikistan. The data is categorized under Global Database’s Tajikistan – Table TJ.A003: Gross Domestic Product per Capita. The Аgency on Statistics under the President of the Republic of Tajikistan provides quarterly annualized GDP per Capita, calculated using moving sum of the last four quarters' GDP and total population at the end of the reference period.

This is the dataset I used to figure out which sociodemographic factor including the current pandemic status of each state has the most significan impace on the result of the US Presidential election last year. I also included sentiment scores of tweets created from 2020-10-15 to 2020-11-02 as well, in order to figure out the effect of positive/negative emotion for each candidate - Donald Trump and Joe Biden - on the result of the election.

Details for each variable are as below: - state: name of each state in the United States, including District of Columbia - elec16, elec20: dummy variable indicating whether Trump gained the electoral votes of each state or not. If the electors casted their votes for Trump, the value is 1; otherwise the value is 0 - elecchange: dummy variable indicating whether each party flipped the result in 2020 compared to that of the 2016 - demvote16: the rate of votes that the Democrats, i.e. Hillary Clinton earned in the 2016 Presidential election - repvote16: the rate of votes that the Republicans , i.e. Donald Trump earned in the 2016 Presidential election - demvote20: the rate of votes that the Democrats, i.e. Joe Biden earned in the 2020 Presidential election - repvote20: the rate of votes that the Republicans , i.e. Donald Trump earned in the 2020 Presidential election - demvotedif: the difference between demvote20 and demvote16 - repvotedif: the difference between repvote20 and repvote16 - pop: the population of each state - cumulcases: the cumulative COVID-19 cases on the Election day - caseMar ~ caseOct: the cumulative COVID-19 cases during each month - Marper10k ~ Octper10k: the cumulative COVID-19 cases during each month per 10 thousands - unemp20: the unemployment rate of each state this year before the election - unempdif: the difference between the unemployment rate of the last year and that of this year - jan20unemp ~ oct20unemp: the unemployment rate of each month - cumulper10k: the cumulative COVID-19 cases on the Election day per 10 thousands - b_str_poscount_total: the total number of positive tweets on Biden measured by the SentiStrength - b_str_negcount_total: the total number of negative tweets on Biden measured by the SentiStrength - t_str_poscount_total: the total number of positive tweets on Trump measured by the SentiStrength - t_str_poscount_total: the total number of negative tweets on Trump measured by the SentiStrength - b_str_posprop_total: the proportion of positive tweets on Biden measured by the SentiStrength - b_str_negprop_total: the proportion of negative tweets on Biden measured by the SentiStrength - t_str_posprop_total: the proportion of positive tweets on Trump measured by the SentiStrength - t_str_negprop_total: the proportion of negative tweets on Trump measured by the SentiStrength - white: the proportion of white people - colored: the proportion of colored people - secondary: the proportion of people who has attained the secondary education - tertiary: the proportion of people who has attained the tertiary education - q3gdp20: GDP of the 3rd quarter 2020 - q3gdprate: the growth rate of the 3rd quarter 2020, compared to that of the same quarter last year - 3qsgdp20: GDP of 3 quarters 2020 - 3qsrate20: the growth rate of GDP compared to that of the 3 quarters last year - q3gdpdif: the difference in the level of GDP of the 3rd quarter compared to the last quarter - q3rate: the growth rate of the 3rd quarter compared to the last quarter - access: the proportion of households having the Internet access

Key information about Tajikistan GDP Deflator Growth

• Tajikistan GDP deflator (implicit price deflator) increased 9.7 % in Sep 2022, compared with an increase of 7.8 % in the previous quarter.
• Tajikistan GDP Deflator Growth data is updated quarterly, available from Mar 2000 to Sep 2022, with an average rate of 11.6 %.
• The data reached an all-time high of 53.4 % in Mar 2001 and a record low of -0.6 % in Mar 2021.

CEIC calculates GDP Deflator Growth from quarterly Nominal GDP and quarterly Real GDP Growth. Agency on Statistics under the President of the Republic of Tajikistan provides Nominal GDP in local currency and Real GDP Growth.


Related information about Tajikistan GDP Deflator Growth

• In the latest reports, Tajikistan GDP expanded 7.8 % YoY in Sep 2022.
• Its Nominal GDP reached 3.6 USD bn in Dec 2022.
• Tajikistan GDP Per Capita reached 1,131.2 USD in Dec 2022.
• Its Gross Savings Rate was measured at 31.0 % in Dec 2020.

Key information about Tajikistan Nominal GDP

• Tajikistan Nominal GDP reached 2.2 USD bn in Mar 2023, compared with 3.6 USD bn in the previous quarter.
• Nominal GDP in Tajikistan is updated quarterly, available from Mar 1993 to Mar 2023, with an average number of 887.6 USD mn.
• The data reached an all-time high of 3.6 USD bn in Dec 2022 and a record low of 62.7 USD mn in Mar 1993.

CEIC converts quarterly Nominal GDP into USD. Agency on Statistics under the President of the Republic of Tajikistan provides Nominal GDP in local currency. The National Bank of Tajikistan average market exchange rate is used for currency conversions.


Related information about Tajikistan Nominal GDP

• In the latest reports, Tajikistan GDP expanded 8.2 % YoY in Mar 2023.
• Its GDP deflator (implicit price deflator) increased 5.5 % in Mar 2023.
• Tajikistan GDP Per Capita reached 1,131.2 USD in Dec 2022.
• Its Gross Savings Rate was measured at 31.0 % in Dec 2020.
• For Nominal GDP contributions, Investment accounted for 33.5 % in Dec 2020.
• Public Consumption accounted for 11.6 % in Dec 2020.
• Private Consumption accounted for 77.6 % in Dec 2020.

Interactive chart of historical data comparing the level of gross domestic product (GDP) with Federal Debt.

In this research, we conducted a pre-post analysis. We analysed the impact of Turkey's transition to a presidential system by comparing economic and governance indicators for the pre-reform period (before 2018) and the post-reform period (2018 onwards). The analysis is based on annual data from 1996 to 2023 and focusses on key macroeconomic indicators like GDP growth, inflation, unemployment, and foreign direct investment inflows, as well as governance metrics like corruption, political stability, and government effectiveness.

Tajikistan Gross Domestic Product (GDP): Year to Date: GVA: Education data was reported at 3,992.950 TJS mn in Dec 2018. This records an increase from the previous number of 2,518.440 TJS mn for Sep 2018. Tajikistan Gross Domestic Product (GDP): Year to Date: GVA: Education data is updated quarterly, averaging 1,076.600 TJS mn from Dec 2010 (Median) to Dec 2018, with 33 observations. The data reached an all-time high of 3,992.950 TJS mn in Dec 2018 and a record low of 198.600 TJS mn in Mar 2011. Tajikistan Gross Domestic Product (GDP): Year to Date: GVA: Education data remains active status in CEIC and is reported by Аgency on Statistics under the President of the Republic of Tajikistan. The data is categorized under Global Database’s Tajikistan – Table TJ.A001: Gross Domestic Product: by Industry.

Abstract: This repository contains the full dataset and model implementation for the analysis of voting patterns in Romania's 2024 presidential elections, focusing on the relationship between territorial economic structures and electoral preferences. The models estimate vote dominance at LAU level using sectoral, demographic, and regional predictors, including spatial autoregression. Particular attention is given to the overrepresentation of Bucharest in national-level FDI statistics, which is corrected through a GDP-based imputation model. For reproducibility, the repository includes: Cleaned and structured input data (LAU, NUTS3), all modelling scripts in R, Tableau maps for visual analysis and public presentation.File DescriptionsLAU.csvThis dataset contains the local-level electoral and socio-economic data for all Romanian LAU2 units used in the spatial and statistical analyses. The file is used as the base for all models and includes identifiers for merging with the shapefile or spatial weights. It includes:- Electoral results by presidential candidate (2024, simulated),- Dominant vote type per locality,- Sectoral employment categories,- Demographic variables (ethnicity, education, age),- Regional and metropolitan classifications,- Weights for modelling.NUTS3.csvThis dataset provides county-level economic indicators (GDP and FDI) over the period 2011–2022. The file supports the construction of regional indicators such as FDI-to-GDP ratios and export structure. Notably, the file includes both original and corrected values of FDI for Bucharest, following the imputation procedure described in the model script.model.RThis R script contains the full modelling pipeline. The script includes both a model variant with Bucharest excluded and an alternative version using corrected FDI values, confirming the robustness of coefficients across specifications. It includes:- Pre-processing of LAU and NUTS3 data,- Imputation of Bucharest FDI using a linear model on GDP,- Survey-weighted logistic regression models for vote dominance per candidate,- Multinomial and hierarchical logistic models,- Seemingly Unrelated Regressions (SUR),- Spatial error models (SEM),- Principal Component Analysis on SEM residuals,- Latent dominance prediction using softmax transformation,- Export of predicted latent vote maps.Maps.twbxThis Tableau workbook contains all final cartographic representations.The workbook uses a consistent colour palette based on candidate-typified economic structures (industry, services, agriculture, shrinking).- Choropleth maps of dominant vote by candidate,- Gradients reflecting latent probabilities from spatial models,- Maps of residuals and ideological factor scores (PCA-derived),- Sectoral economic geographies per county and per locality,- Overlay of dominant vote and sectoral transformation types.

Dataset covering every recognized political leader in 19 Latin American countries during 1945-2010. It measures yearly outcomes for each president: survival in office, exit via military coup, or exit via legal removal (impeachment or forced resignation). The sample includes 36 presidential interruptions (21 coups and 15 legal removals). Predictors include Per capita GDP, GDP growth, Demonstrations, Radicalism, Military coups in the past 20 years, Military coups in the region in the past 5 years, Size of the president’s party (% in the House), and Support for democracy among elites.

The first map shows county-by-county results in the traditional red and blue colors. From a transportation perspective, one clear takeaway is that you could drive coast-to-coast without ever setting foot in a Clinton County.The second map comes courtesy of the Brookings Institution, and it tells a dramatically different story. While Secretary Clinton carried 2,000 fewer counties than Mr. Trump, her blue counties represent nearly two-thirds of the nation's Gross Domestic Product (GDP).Finally, the third map introduces some nuance to the stark contrast of the two other pictures. It depicts county-by-county results like the first map, but shows the margin of victory in a range of red and blue colors. The most striking thing to me about the third map is how many purple counties there are, where the vote margin was +/-10% for either Trump or Clinton. In other words, our closely divided county once again proved just how closely divided it is.My Christmas wish: that we can start emphasizing the close part more than the divided one.