Work

Workers Want A Green Economy, Not A Black Environment

Workers Want A Green Economy, Not A Black Environment

"Don’t get me wrong. The USW supports job creation. But the union believes clean air pays; clear water provides work. Engineers design smokestack scrubbers, skilled mechanics construct them and still other workers install them. Additional workers install insulation and solar panels. Untold thousands labor to make the steel and other parts for wind turbine blades, towers and nacelles, fabricate the structures and erect them. Withdrawing from the Paris Accord diminishes these jobs and dispatches the innovators and manufacturers of clean technologies overseas where countries that continue to participate in the climate change agreement will nurture and grow them."

Full employment

Full employment

"Full employment, in macroeconomics, is the level of employment rates where there is no cyclical or deficient-demand unemployment.[1] It is defined by the majority of mainstream economists as being an acceptable level of unemployment somewhere above 0%. The discrepancy from 0% arises due to non-cyclical types of unemployment, such as frictional unemployment (there will always be people who have quit or have lost a seasonal job and are in the process of getting a new job) and structural unemployment (mismatch between worker skills and job requirements). Unemployment above 0% is seen as necessary to control inflation in capitalist economies, to keep inflation from accelerating, i.e., from rising from year to year. This view is based on a theory centering on the concept of the Non-Accelerating Inflation Rate of Unemployment (NAIRU); in the current era, the majority of mainstream economists mean NAIRU when speaking of "full" employment. The NAIRU has also been described by Milton Friedman, among others, as the "natural" rate of unemployment. Having many names, it has also been called the structural unemployment rate."

March 2017 Unemployment Rate

This interactive map shows the 160 communities where Local Area Unemployment Statistics are generated. All 62 counties in New York have an unemployment rate calculated monthly, along with the 98 cities, towns, and villages with a population greater then 25,000. Monthly numbers are not seasonally adjusted, and in some regions of the state unemployment rises during certain periods of the year. You should only compare like months (e.g. March 2017 vs March 2016). You can download the data going back to 1970s here: https://www.labor.ny.gov/stats/LSLAUS

NYS Local Unemployment Rate, December 2016

This interactive map shows the 160 communities where Local Area Unemployment Statistics are generated. All 62 counties in New York have an unemployment rate calculated monthly, along with the 98 cities, towns, and villages with a population greater then 25,000. Monthly numbers are not seasonally adjusted, and in some regions of the state unemployment rises during certain periods of the year. You should only compare like months (e.g. October 2015 vs October 2016). You can download the data going back to 1970s here: https://www.labor.ny.gov/stats/LSLAUS

October 2016 minus October 2015 Unemployment Rate

Has unemployment gotten better or worse in the past year in most communities in our state? This map tries to answer that question. In most regions of the state the unemployment picture has gotten better with fewer people looking for work, but growth is uneven. The bright spots are Montgomery County/Amsterdam and Riverhead in eastern Long Island. On the other hand, Johnstown has seen it's unemployment rate increase, and unemployment has ticked up slightly in Niagara Falls, North Tonawada, and Lewis County.

October 2016 Unemployment Rate

This interactive map shows the 160 communities where Local Area Unemployment Statistics are generated. All 62 counties in New York have an unemployment rate calculated monthly, along with the 98 cities, towns, and villages with a population greater then 20,000. Monthly numbers are not seasonally adjusted, and in some regions of the state unemployment rises during certain periods of the year. You should only compare like months (e.g. October 2015 vs October 2016). You can download the data going back to 1970s here: https://www.labor.ny.gov/stats/LSLAUS.shtm