The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

This dataset gives the individual responses to special questions from the New York Fed Survey of Consumer Expectations (SCE), as used in the paper "Nothing to hide? Gender and age differences in willingness to share data". For the working paper version of the paper, see https://www.bis.org/publ/work1187.htm.

Inflation Expectations in the United States decreased to 3.20 percent in October from 3.40 percent in September of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This paper shows how both the characteristics and the accuracy of the point and density forecasts from a well-known panel data survey of households' inflationary expectations – the New York Fed's Survey of Consumer Expectations – depend on the tenure of survey respondents. Households' point and density forecasts of inflation become significantly more accurate with repeated practice of completing the survey. These learning gains are best identified when tenure-based combination forecasts are constructed. Tenured households on average produce lower point forecasts of inflation, perceive less forecast uncertainty, round their uncertainty but not their point forecasts, report unimodal densities, and provide internally consistent point and density forecasts.

Graph and download economic data for Rates on Customer Loans for New York, NY (M13004US35620M156NNBR) from Jan 1919 to Feb 1939 about New York, NY, loans, banks, depository institutions, rate, and USA.

We introduce and provide the first comprehensive comparative assessment of the Federal Reserve Bank of New York/Equifax Consumer Credit Panel (CCP) as a valuable and underutilized data set for studying internal migration within the United States. Relative to other data sources on US internal migration, the CCP permits highly detailed cross-sectional and longitudinal analyses of migration, both temporally and geographically. We compare cross-sectional and longitudinal estimates of migration from the CCP to similar estimates derived from the American Community Survey, the Current Population Survey, Internal Revenue Service data, the National Longitudinal Survey of Youth, the Panel Study of Income Dynamics, and the Survey of Income and Program Participation. Our results establish the comparative utility and illustrate some of the unique advantages of the CCP relative to other data sources on US internal migration. We conclude by identifying some profitable directions for future research on US internal migration using the CCP, as well as reminding readers of the strengths and limitations of these data. More broadly, this paper contributes to discussions and debates on improving the availability, quality, and comparability of migration data.

Debt collection agencies have been significantly impacted by several macroeconomic events and uneven consumer sentiment, resulting in substantial shifts in debt payments and new debt accrual. Following the pandemic, debt collection agencies struggled to regain their footing, as a multitude of government assistance measures, including policies such as the American Rescue Plan of March 2021 and a student loan freeze, bolstered individual consumers’ debt repayment capabilities and resulted in a considerable slowdown in overall debt accrual. While previous interest rate spikes and the lifting of the student loan freeze created additional repayment stresses for consumers, new interest rate cuts and student loan forgiveness programs are moderately easing financial pressures across many households. Despite the more recent recovery, the overarching effects of debt repayment freeze and generous federal stimulus resulted in revenue slipping at a CAGR of 6.3% to an estimated $13.6 billion over the past five years. Small debt collection agencies face significant pressure from emerging accounts receivable platforms and virtual debt collection companies that aim to replace traditional practices. Prominent debt collectors can invest in new communication methods and data analytics, giving them an edge in outreach techniques such as telephone calling and social media communications. Competitive pressures intensify as new technology enables companies to manage their own debt collection, while out-of-market firms like fintech, Buy Now, Pay Later (BNPL) providers and payment platforms gain new revenue streams. Prominent companies, such as Alorica Inc., have responded tactically, with the company pursuing an AI cloud partnership with Google in October 2024, which bolstered profitability through more efficient internal workflow and direct-to-consumer services. Moving forward, debt collection agencies face modest prospects amid a reduction in interest rates and continued growth in medical and student loan debt. Consumers will use less revolving debt and hold larger balances in a higher-interest-rate environment. According to 2025 data from the New York Fed, outstanding credit card debt exceeded $1.2 trillion in the second quarter, a 5.9% gain from the same period a year ago. Nonetheless, continued pressure from in-house alternatives among established financial organizations will force debt collection agencies to remain at the forefront of workflow modernization when procuring debt portfolios. Revenue is expected to accelerate at a CAGR of 1.6% to an estimated $14.7 billion through the end of 2030. However, these revenue levels remain substantially lower than they were before the pandemic.