How does Lafayette Square define and identify "Working-Class communities / areas" for its investment strategy?
Lafayette Square defines "Working-Class people" as those earning less than 80% of the area median income and identifies "Working-Class communities / areas" based on data from the U.S. Census Bureau. This data-driven approach ensures that capital is directed to areas where it can have the most significant impact on these populations.
What specific types of enhanced benefits does LS Solutions provide to employees of portfolio companies?
LS Solutions connects workers to a curated list of third-party providers offering non-traditional benefits across three key domains: Financial & Security, Health & Wellness, and Education & Training. These benefits are designed to improve employee well-being, retention, and productivity.
How does Lafayette Square measure the success and impact of its 2030 goals, particularly regarding job creation and community support?
Lafayette Square's 2030 goals are trackable and measurable. Key metrics include supporting 100,000 working-class jobs, investing 50% of capital in working-class communities, and curating benefits for 50% of portfolio companies. The platform also tracks workers employed by portfolio companies, capital deployed, and the number of workers with access to enhanced benefits, utilizing data collected from public and private sources.
Can businesses outside of Lafayette Square's direct investment portfolio access LS Solutions' managerial assistance?
Yes, the LS Solutions team also supports clients beyond the Lafayette Square portfolio. This indicates that the managerial assistance and enhanced benefits program can be utilized by other businesses interested in improving human capital and employee well-being.
What role does data analytics play in Lafayette Square's investment decision-making process?
Data analytics is central to Lafayette Square's operations. The platform gathers and analyzes extensive localized data to understand economic opportunities and local dynamics within communities. This data-driven approach informs underwriting, predictive investment, and risk assessment, enabling more informed decisions that drive positive outcomes for portfolio companies and align with their place-based strategy.