A growing body of research has illuminated the powerful role played by social capital in influencing disaster and resilience outcomes. Popular vulnerability mapping frameworks, while well suited for capturing demographic characteristics such as age, race, and wealth, do not include sufficient proxies for social capital. This article proposes a concrete way to measure bonding, bridging, and linking social capital using widely available information. Our social capital index (SoCI) uses 19 indicators from publicly available U.S. census and Environmental Systems Research Institute (ESRI) data for all counties across the contiguous United States. We demonstrate broad variations in the SoCI Index by mapping counties across the continental North America. Validity tests indicate outcomes similar or superior to other approaches such as the Baseline Resilience Indicators for Communities (BRIC) and the Social Vulnerability Index (SoVI). Our new mapping framework provides a more focused way for disaster managers, scholars, and local residents to understand how communities could cope with future disasters based on levels of social ties and cohesion

Over the past thirty years, disaster scholars have highlighted that communities with stronger social infrastructure - including social ties that enable trust, mutual aid, and collective action - tend to respond to and recover better from crisis. However, comprehensive measurements of social capital across communities have been rare. This study adapts Kyne and Aldrich’s (2019) county-level social capital index to the census-tract level, generating social capital indices from 2011 to 2018 at the census-tract, zipcode, and county subdivision levels. To demonstrate their usefulness to disaster planners, public health experts, and local officials, we paired these with the CDC’s Social Vulnerability Index to predict the incidence of COVID-19 in case studies in Massachusetts, Wisconsin, Illinois, and New York City. We found that social capital and social vulnerability predicted as much as 95% of the variation in COVID outbreaks, highlighting their power as diagnostic and predictive tools for combating the spread of COVID.

This dataset provides the basic data and calculation process of the health human capital index, as well as the regression estimation and regional heterogeneity analysis of the impact of health human capital on economic growth.

Why do countries open their economies to global capital markets? A number of recent articles have found that two types of factors encourage politicians to liberalize their capital accounts: strong macroeconomic fundamentals and political pressure from proponents of open capital markets. However, these conclusions need to be re-evaluated because the most commonly used measure of capital account openness, Chinn and Ito's (2002) Kaopen index, suffers from systematic measurement error. We modify the Chinn–Ito variable and replicate two studies (Brooks and Kurtz 2007; Chwieroth 2007) to demonstrate that our improved measure overturns some prior findings. Some political variables have stronger effects on capital account policy than previously recognized, while macroeconomic fundamentals are less important than previous research suggests.

The database comprises a spatially referenced compilation of the human development indexes. It includes 100 indicators of various human development spheres including demography, economics, finance, politics, equality, science and education, healthcare, culture, mobility and ecology. The statistics are attached to the authors' cartographic base with internationally recognised borders of 193 UN full members. The base allows to conduct complex spatial econometric analysis of social and political processes in the world using geoinformation systems. The database may be employed to analyse spatial differentiation of various aspects of human development.

The database contains continuous chronological series of the main indicators of dynamics for the US economy in 1950-1996 and the results of a preliminary approximation of the corresponding analytical trends up to 2010. The database includes the values of GNP and GDP in the current and fixed prices, price deflators, shares of various industry groups in the structure of the domestic product, indicators of the dynamics for the total national income, values of exports and imports of goods, population data, indicators of general and sectoral employment and unemployment, basic indices of values for intermediate and final products in material production, the current volumes of capital investments, basic indices of production costs and consumer prices, as well as indicators of the national wealth of the United States. Particular attention was paid to inflation rates, the growth of military spending, the dynamics of public debt and such derived socio-economic indicators as the values of the total national product, income and wealth per capita. Due to some ongoing revisions to the US System of National Accounts (NIPA) introduced by the Bureau of Economic Analysis of the US Department of Commerce, all series have been updated to reflect the President's Economic Report of 1997. All the given series of indicators were verified with primary data sources and provided with reference linear charts of statistical trends. The basis for compiling the database was the official reference publications of the US federal departments, as well as statistical materials accumulated and processed in the Section of Economic Databases at the Institute for the USA and Canada of the Russian Academy of Sciences in 1985-1997.

The description of the variables included in the data set are explained at below: 1. The dataset covers 106 countries and the period between 2009 and 2020. 2. Economic growth: The four-year average growth rate of real GDP per capita (constant 2015 $) Source: The World Development Indicators 3. The Environmental Performance Index : The four-year average EPI index Source: Socioeconomic Data and Application Center (SEDAC) 4. Gross fixed capital formation : The four-year average gross fixed capital formation (% GDP) Source: The World Development Indicators 5. Tourism development: The four-year average of number of international tourist arrivals per active population (15+) Source: The World Development Indicators 6. Initial real GDP per capita: Natural Logarithmic form of the real GDP per capita at the beginning of each period (constant 2015 $) Source: The World Development Indicators 7. Fertility: Logarithmic form of total births per woman at the beginning of each period Source: The World Development Indicators 8. Life Expectancy: Initial logarithmic form of life expectancy at birth. Source: Human Development Reports (UNDP) 9. Government Expenditures : The average proportion of general government final consumption expenditure (% GDP )Source: The World Development Indicators 10. Trade Openness: Average sum of exports and imports (% GDP) Source: The World Development Indicators 11. Inflation : The average annual percentage change in the consumer price index during each period Source: The World Development Indicators 12. Mean Years of Schooling: The four-year average number of years of education received by people ages 25 and older Source: Human Development Reports (UNDP)