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According to this report, the 2017–2018 "usual status" unemployment rate in India at 6.1%, a four-decade high, [36] possibly caused by the 2016 demonetisation of large banknotes intended to curb the informal untaxed economy. [37] The report and the refusal of the BJP government to release the latest NSSO report has been criticized. [17]
Unemployment in the US by State (June 2023) The list of U.S. states and territories by unemployment rate compares the seasonally adjusted unemployment rates by state and territory, sortable by name, rate, and change. Data are provided by the Bureau of Labor Statistics in its Geographic Profile of Employment and Unemployment publication.
National Statistical Office (NSO) is mandated with the following responsibilities: acts as the nodal agency for planned development of the statistical system in the country, lays down and maintains norms and standards in the field of statistics, involving concepts and definitions, methodology of data collection, processing of data and dissemination of results;
The COVID-19 pandemic has brought initial unemployment claims to 38.6 million in just nine weeks, according to the latest data from the U.S. Department of Labor — shattering historic highs ...
The unemployment rate fell from 4.2% to 4.1%, the Labor Department said Friday. Economists surveyed by Bloomberg had estimated that about 165,000 jobs were added last month, based on their median ...
The lowest unemployment rate was in North Dakota at just 2.7%, while New Mexico had the highest unemployment rate at 6.7%. Unemployment rates have recovered dramatically in all the states since ...
CMIE, a non-government private entity, started to survey and publish monthly unemployment data for the first time in Indian history in 2016. Its data collection methodology and reports differ from those published by the NSSO. [16] [17]
Maryland’s labor force participation rate, or the share of workers employed or actively seeking a job, stood at 65.2% in September, well below the 69.2% rate in March 2020 before it fell sharply.