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.

This statistic shows the projections of the macroeconomic effects of the Transatlantic Trade and Investment Partnership (TTIP) on the United States economy in 2030. As a result of an ambitious TTIP implementation this model predicts a *** percent growth in U.S. GDP over baseline in 2030.

Model Data for Squash: Effect of Imports on U.S. Seasonal Markets, with a Focus on the U.S. Southeast.

This data package includes the underlying data to replicate the charts and calculations presented in The effect of lawful crossing on unlawful crossing at the US southwest border, PIIE Working Paper 24-10.

If you use the data, please cite as: Clemens, Michael A. 2024. The effect of lawful crossing on unlawful crossing at the US southwest border. PIIE Working Paper 24-10. Washington: Peterson Institute for International Economics.

Model data for the Cucumbers: Effect of Imports on U.S. Seasonal Markets, with a Focus on the U.S. Southeast study.

Graph and download economic data for Effect of the American Recovery and Reinvestment Act (ARRA) on Federal Government Gross Investment (DISCONTINUED) (GROINVQ027SBEA) from Q1 2009 to Q1 2013 about ARRA, investment, gross, federal, government, and USA.

In 2025, over half of people in the United States said that they were planning to dine in instead of going out for Easter or Passover due to the state of the economy and the impact of inflation. ** percent of people were planning to look for lower cost gifts.

Data and code supporting journal Climatic Change paper with title "Climate effects on US infrastructure: the economics of adaptation for rail, roads, and coastal development". Citation information for this dataset can be found in Data.gov's References section.

United States SB: PR: COVID-19 Impact: Little or Number Effect data was reported at 29.000 % in 11 Apr 2022. This records an increase from the previous number of 20.400 % for 04 Apr 2022. United States SB: PR: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 21.250 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 29.000 % in 11 Apr 2022 and a record low of 16.500 % in 15 Nov 2021. United States SB: PR: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S055: Small Business Pulse Survey: by State: US Territory (Discontinued).

This paper examines the self-employment effects of Secure Communities, a major internal immigration enforcement program in the US. Using data from the American Community Survey and a difference-in-differences methodology, we find that Secure Communities had a negative impact on the likelihood of self-employment in the United States. While the policy did not substantially lower the self-employment rates in the country, it had a clear detrimental impact on the incomes of the self-employed, particularly of the self-employed whites.

US Adult COVID-19 Impact Survey Data

Regional, Socio-Economic, and Health Effects

By Meghan Hoyer [source]

About this dataset

The Associated Press is proud to present the COVID Impact Survey, a statistical survey providing data on how the coronavirus pandemic has affected people in the United States. Conducted by NORC at the University of Chicago with sponsorship from the Data Foundation and Federal Reserve Bank of Minneapolis, this probability-based survey offers valuable insight into three core areas related to physical health, economic and financial security, and social and mental health.

Through this vital survey data, we can gain a better understanding of how individuals are dealing with symptoms related to COVID-19, their financial situation during this time period as well as changes in employment or government assistance policies, food security ization (in both nationwide & regional scope), communication with friends and family members, anxiety levels & if people are volunteering more during pandemic restrictions; furthermore gaining an overall comprehensive snapshot into what factors are impacting public perception regarding COVID-19’s effect on US citizens.

Using these insights it's possible to track metrics over time - Observing which issues Americans face everyday but also long-term effects such as mental distress or self sacrificing volunteer activities that appear due to underlying stress factors. It’s imperative that we properly weight our analysis when using this data & never report raw numbers; instead we must apply queries using statistical software such R/SPSS - thus being able to find results nationally as well as within 10 states + metropolitan areas across America whilst utilising margin of error for detecting statistically significant differences between each researched segment!

Let’s open our minds today – digging beneath surface level information so data tells us stories about humanity & our social behavior patterns during these uncertain times!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains survey data related to the impact of COVID-19 on US adult residents. The survey covers physical health, mental health, economic security, and social dynamics that have been affected by the pandemic. It is important to remember that this is survey data and must be properly weighted when analyzing it. Raw or aggregated numbers should not be used to generate insights. In order to weight the data appropriately, we recommend using statistical software such as R or SPSS or our provided queries (linked in this guide).

To generate a table relating to a specific topic covered in the survey, use the survey questionnaire and code book to match a question (the variable label) with its corresponding variable name. For instance “How often have you felt lonely in the past 7 days?” is variable “soc5c”. After entering a variable name into one of our provided queries, a sentence summarizing national results can be written out such as “People in some states are less likely to report loneliness than others… nationally 60% of people said they hadn't felt lonely”

When making comparisons for numerical statistics between different regions it is important to consider the margin of error associated with each set of surveys for national and regional figures provided within this document; it will help determine if differences between groups are statistically significant. If differences are: at least twice as large as margin of error then there is clear difference; at least as large as margin then there is slight/apparent difference; less than/equal margin no real difference can be determined

Survey results are generally posted under embargo on Tuesday evenings with data release taking place at 1 pm ET Thursdays afterward under an appropriate title including month & year ie 01_April_30_covid_impact_survey). Data will come in comma-delimited & statistical formats containing necessary inferences regarding sample collection etc outlined within this guide

When citing survey results these should always attributed with qualification— The Covid Impact Survey conducted by NORC at University Chicago for The Data Foundation sponsored by Federal Reserve Bank Minneapolis & Packard Foundation .
Lastly more resources regarding AP’s data journalism& distributions capabilities can found via link here or contact kromanoap.org

Research Ideas

• Comparing mental health outcomes of the pandemic in different states and metropolitan areas, such as rates of anxiety or lonelines...

The file contains the data, codes, the main results.

We estimate the size of US consumer gains from Chinese imports during 2004–2015. Using barcode-level price and expenditure data, we construct inflation rates under CES preferences, and use Chinese exports to Europe as an instrument. We find significant negative effects of Chinese imports on US prices. This effect is driven by both changes in the prices of existing goods and the entry of new goods, and it is similar across consumer groups by income or region. A simple benchmarking exercise suggests that Chinese imports led to a 0.19 percentage point annual reduction in the price index for consumer tradables.

United States SBP: COVID-19 Impact: Moderate Negative Effect data was reported at 44.600 % in 04 Oct 2020. This records a decrease from the previous number of 44.900 % for 27 Sep 2020. United States SBP: COVID-19 Impact: Moderate Negative Effect data is updated weekly, averaging 44.050 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 45.000 % in 21 Jun 2020 and a record low of 38.500 % in 26 Apr 2020. United States SBP: COVID-19 Impact: Moderate Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S044: Small Business Pulse Survey: Weekly, Beg Sunday (Discontinued).

Supplemental information, excel spreadsheet of data behind figures in the paper, 11 files with code to reproduce the study. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

United States SB: TN: COVID-19 Impact: Moderate Positive Effect data was reported at 6.600 % in 11 Apr 2022. This records an increase from the previous number of 5.500 % for 04 Apr 2022. United States SB: TN: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 7.600 % from Nov 2021 (Median) to 11 Apr 2022, with 17 observations. The data reached an all-time high of 9.400 % in 20 Dec 2021 and a record low of 4.900 % in 10 Jan 2022. United States SB: TN: COVID-19 Impact: Moderate Positive Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

United States HAI: First Time: Effect Interest Rate Plus PMI data was reported at 5.020 % in Sep 2018. This records an increase from the previous number of 4.950 % for Jun 2018. United States HAI: First Time: Effect Interest Rate Plus PMI data is updated quarterly, averaging 7.380 % from Mar 1981 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 16.390 % in Dec 1981 and a record low of 3.750 % in Dec 2012. United States HAI: First Time: Effect Interest Rate Plus PMI data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB019: Housing Affordability Index: First Time Buyers.

This data is from the Global Change Biology publication by Clark et al., entitled "Winners and losers from climate change: An analysis of tree growth and survival responses to temperature and precipitation for roughly 150 species across the contiguous U.S." The dataset has all the inputs and outputs for the assessment of tree species responses to temperature and precipitation. There is a Readme file on Dryad that describes the 12 tabular data files associated with this manuscript. This dataset is associated with the following publication: Clark, C.M., J.G. Coughlin, J. Phelan, G. Martin, K. Austin, M. Salem, R.D. Sabo, K. Horn, R.Q. Thomas, and R.M. Dalton. Winners and Losers From Climate Change: An Analysis of Climate Thresholds for Tree Growth and Survival for Roughly 150 Species Across the Contiguous United States. GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 30(12): e17597, (2024).

Do firms investing abroad simultaneously reduce their domestic activity? This paper analyzes the relationship between the domestic and foreign operations of US manufacturing firms between 1982 and 2004 by instrumenting for changes in foreign operations with GDP growth rates of the foreign countries in which they invest. Estimates produced using this instrument indicate that 10 percent greater foreign investment is associated with 2.6 percent greater domestic investment, and 10 percent greater foreign employee compensation is associated with 3.7 percent greater domestic employee compensation. These results do not support the popular notion that expansions abroad reduce a firm's domestic activity, instead suggesting the opposite. (JEL F23, H25, L25)

Building on the growing debate on political determinants of foreign direct investment, we investigate the relationship between U.S. political influence and the global distribution of China's outward foreign direct investment (OFDI). Using country-level and firm-level datasets of China's greenfield investment, we find strong evidence that Chinese state controlled firms strategically reduce investment in host countries under significant political influence of the United States. Our results are robust to alternative specification and two falsification tests. The findings suggest that the Chinese government uses FDI as a way of economic diplomacy.