FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Slovakia.

Imports: Price: Other Products: Printed Material data was reported at 5,584.393 USD/Ton in 30 Apr 2025. This records an increase from the previous number of 5,511.667 USD/Ton for 27 Apr 2025. Imports: Price: Other Products: Printed Material data is updated daily, averaging 9,289.425 USD/Ton from Mar 2019 (Median) to 30 Apr 2025, with 263 observations. The data reached an all-time high of 33,802.801 USD/Ton in 11 Sep 2022 and a record low of 4,603.991 USD/Ton in 06 Apr 2025. Imports: Price: Other Products: Printed Material data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.JAA010: Imports: Economic Activity: Product: Price.

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

This dataset represents a dictionary specifically designed for textual applications in economics. The lexicon has been constructed with two important characteristics: 1) to have a wide coverage of terms typically used in documents discussing economic and financial concepts, and 2) to provide a human-annotated sentiment score in the range [-1,1]. The sentiment score is a useful feature when the interest is to weight words by their sentiment content as opposed to categorizing terms in positive and negative. The dictionary can be used, for example, to construct measures of economic pessimism capturing the business cycle and correlating with measures of economic and financial uncertainty.

Some extensions of neoclassical growth models are discussed that allow for cross-section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady-state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative regression methods for analyzing economic transition are given which lead to a new test of the convergence hypothesis and a new procedure for detecting club convergence clusters. Transition curves for individual economies and subgroups of economies are estimated in a series of empirical applications of the methods to regional US data, OECD data and Penn World Table data.

To collect data on an angler's last trip for revealed preference models and economic valuation purposes. Typically done as an add-on to the MRIP intercept survey and done as needed, periodically

About the Project The project explores alternative methods of measuring economic diversification and investigating its associated impacts on the Saudi Arabian economy and other GCC countries. By utilizing a financial portfolio framework reconciled with economic growth theory, the economy is viewed as a portfolio of economic sectors, each contributing to the overall output growth. Results demonstrated that diversification policies have been effective, as the economy moves towards higher growth with lower instability. Key Points Evidence confirms that there is a positive correlation between the economic growth rate and its volatility/risk in the Gulf Cooperation Council (GCC) region. In other words, there is a trade-off between the benefits of oil and gas activity and the volatility resulting from unpredictable commodity price swings in such resource dependent economies. Our analysis uses a financial portfolio framework approach (and more specifically an efficient frontier analysis), treating economic sectors as individual investments. We calculate a relative risk measure termed the ‘beta coefficient’ and assemble a portfolio of sectors with varying weights to find the efficient frontier. If the beta of the portfolio representing the economy is above global average, the economy will generally grow faster than the global average but with greater volatility – the upturns will be higher and the downturns deeper. We aim to shed light on diversification policy from this novel, if not yet widely accepted, perspective. The GCC economies exhibit ‘high beta,’ particularly Qatar. Saudi Arabia sits in the middle of the group, but above the global average, while Oman has the lowest coefficient of the group. Saudi Arabia’s National Transformation Plan to 2020 and economic Vision 2030 envisage an economy that is still invested in oil and gas activity at 45 percent of total output. While diversification policies in these plans promote economic growth, it still leaves the economy exposed to the volatility of energy markets. In comparison, the optimal mix of economic sectors could increase the growth rate by more than 1 percent annually and nearly halve the expected volatility (to less than 60 percent of growth rate). Saudi Arabia’s historical economic policies were effective in achieving some diversification. However, their benefits could be increased by policies that balance productive efficiency with diversification of economic activity. The difference between policy-optimized portfolio and non-constrained optimization can be used to estimate the size of the fiscal stabilization fund needed to protect the economy from stop/go risks to diversification objectives.

United States - Government current expenditures: Economic affairs: Transportation: Highways was 194.65300 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Government current expenditures: Economic affairs: Transportation: Highways reached a record high of 194.65300 in January of 2023 and a record low of 4.59000 in January of 1959. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Government current expenditures: Economic affairs: Transportation: Highways - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Coincident Economic Activity Index for New Hampshire (NHPHCI) from Jan 1979 to Apr 2025 about coincident economic activity, NH, indexes, and USA.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Armenia GDP.

Economic Policy Uncertainty : News-Based for the United States was 715.59055 Index in April of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 715.59055 in April of 2025 and a record low of 44.78275 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on May of 2025.

Chad: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 8.4 index points, a decline from 8.7 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Chad from 2007 to 2024 is 8.96 index points. The minimum value, 8.4 index points, was reached in 2024 while the maximum of 9.3 index points was recorded in 2009.

Today's weakness in the US economy results from lack of aggregate demand, due to high and growing inequality, underinvestment in public infrastructure and technology that is complementary to private capital, continuing mild austerity, difficulties encountered in making the structural transformation from manufacturing to a service-based economy, and a financial sector failing to provide adequate funds to SMEs. An agenda to restore growth includes a carbon price, inducing climate investments; increased public investments in infrastructure and technology; fighting inequality through redistribution and rewriting the rules structuring the economy; and reforming the financial sector and the global reserve system.

Company's Sales: Next 6 Months: Increase data was reported at 87.000 % in Sep 2018. This records an increase from the previous number of 84.000 % for Jun 2018. Company's Sales: Next 6 Months: Increase data is updated quarterly, averaging 73.000 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 93.000 % in Mar 2018 and a record low of 24.000 % in Mar 2009. Company's Sales: Next 6 Months: Increase data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s USA – Table US.S018: CEO Economic Outlook Survey.

Global Cyclone Total Economic Loss Risk Deciles is a 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP is spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell as determined from Gridded Population of the World, Version 3 (GPWv3) data. Once a GDP value is determined on a per grid cell basis, then the regionally variable loss rate, as derived from the historical records of EM-DAT, is used to determine the total economic loss risks posed to a grid cell by cyclone hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global cyclone hazard events in relation to subnational distributions of GDP.

United States - Longer Run FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Median was 4.20% in December of 2024, according to the United States Federal Reserve. Historically, United States - Longer Run FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Median reached a record high of 5.00 in June of 2015 and a record low of 4.00 in March of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Longer Run FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Median - last updated from the United States Federal Reserve on June of 2025.

Economically Active Population Survey: Employed persons by economic sector, sex and Autonomous Community. Percentages with respect to the total of each Community. Quarterly. Autonomous Communities and Cities.

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the County Economic Census for Luna County stored in the 2006 TIGER Second Edition dataset.

2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.