![]() Mapping Unemployment Rates (States and Counties)Įasily find out how the buying power of the dollar has changed over the years using the inflation calculator.Īllows users to calculate injury and illness incidence rates for their specific establishment or firm and to compare them with the averages for the Nation, for States, and for the industry in which the establishment is found. ![]() Time spent in detailed primary activities, and percent of the civilian population engaging in each activity, averages per day on weekdays and weekend daysĬreate Customized Maps Create Customized Maps Time spent in detailed primary activities, and percent of the civilian population engaging in each activity, averages per day Power BI Datamart also comes with a unified editor in the Power BI Service. Power BI Datamart is a combination of Dataflow, an Azure SQL Database (acting like a data warehouse), and Dataset. Usual Weekly Earnings of Wage and Salary Workers News Release (quarterly)Īccess to Historical Data Series by Subject: Previous years and monthsīrowse labor force, employment, unemployment, and other data by subjectĪmerican Time Use Survey (ATUS) Historical News Release Tables Power BI Datamart is a recently added component to the Power BI ecosystem. Weekly Earnings Tables: Previous quarters To promote greater transparency, accountability. As the charts and maps animate over time, the changes in the world become easier to understand. Historical 'B' Tables (Establishment data): Previous years and months The department manages a variety of critical work through active databases. The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. Historical 'A' Tables (Household data): Previous years and monthsĮmployment Situation News Release (monthly) ![]() Historical News Release Tables Table Name ![]() As input, the Series Report application requires a Series ID and date range. Provides experienced users of BLS data with one of the quickest form of access to BLS time series data on our website. ![]()
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