We study the history and geography of wealth accumulation in the United States using newly collected historical property tax records from the early 1800s onward. These records come from the administration of the General Property Tax–a tax that aspired to cover all types of property. We construct wealth series at the state, county, and national levels. At the state level, we use annual assessed values of wealth from state-level reports drawn from multiple sources. Because assessed values may differ from market values, we also require assessment ratios, defined as the ratio of assessed to market wealth. We obtain state-level assessment ratios from decadal U.S. Census wealth data (drawn from various Census reports, including those on “Wealth, Debt, and Taxation”), in which the Census carried out detailed valuation work, complemented with information on changes in assessment practices from the state reports, to build higher-frequency series of assessment ratios. The result is long-run annual wealth series for states from 1850 (or earlier, depending on the state) to 1935. We obtain national wealth series by aggregating these state series. At the county level, we use assessed values (or market values where available) from the U.S. Census wealth data for each decade, and apply either state-level or county-level assessment ratios, where available, to obtain market values of wealth for each decade from 1850 to 1930. We use these data to show, first, that the United States experienced extraordinary wealth accumulation after the Civil War and until the Great Depression. Second, spatial inequality in the United States has been large and highly persistent since the mid-1800s. We also examine the determinants of long-term wealth growth and find, among other results, that counties with a higher share of enslaved property before the Civil War or with higher wealth inequality experienced lower subsequent long-run wealth growth.

This article explores the relationship between economic growth and trust in government using variation in GDP growth experienced over a lifetime since birth. We assemble a newly harmonized global data set across 11 major opinion surveys, comprising 3.3 million respondents in 166 countries since 1990. Exploiting cohort-level variation, we find that people who have experienced higher GDP growth are more prone to trust their governments, with larger effects found in democracies. Higher-growth experiences are also associated with improved perceptions of government performance and living standards. We find no similar channel between growth experience and interpersonal trust. Second, more recent growth experiences appear to matter most for trust in government, with no detectable effect of growth experienced during one’s formative years, closer to birth, or before birth. Third, we find evidence of a “trust paradox” whereby average trust in government is lower in democracies than in autocracies. Our results are robust to a range of falsification exercises, robustness checks, and single-country evidence using the American National Election Studies and the Swiss Household Panel.