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Public Assistance Case Denials by Reason for Denial: Beginning 2006
data.ny.gov | Last Updated 2024-04-10T17:26:43.000ZThis dataset, from New York State Office of Temporary and Disability Assistance, provides the number of Public Assistance case denials in each month by reason for case denial, for each Local Social Services District (SSD). It is similar to data published on an annual basis in the "Statistical Report on the Operations of New York State Public Assistance Programs."
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Daily Corporation and Other Entity Filing Data
data.ny.gov | Last Updated 2024-07-07T11:16:15.000ZThis data contains Corporations and other Entities filing information that were processed in the previous thirty days. Each line contains the Department of State ID number, Film ID, Date Filed, Effective Date, Entity Name, the law under which the filing was made and other pertinent filing information.
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Hourly Traffic on MTA Bridges and Tunnels, Averages by Direction Column Chart
data.ny.gov | Last Updated 2024-07-01T11:00:57.000ZThis dataset provides data showing the number of vehicles (including cars, buses, trucks and motorcycles) that pass through each of the bridges and tunnels operated by the MTA each hour of the day. The data is updated weekly.
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Gasoline Retail Prices Weekly Average by Region: Beginning 2007
data.ny.gov | Last Updated 2024-07-05T14:30:46.000ZGasoline retail prices weekly average by region dataset provides the weekly average retail gasoline prices for New York State and sixteen New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from October 2007 through current. Some metropolitan regions begin in 2017. Average daily retail gasoline prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.
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Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000
data.ny.gov | Last Updated 2024-06-20T16:36:40.000ZThe Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.
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Summary Financial Information for Local Development Corporations
data.ny.gov | Last Updated 2023-10-31T17:14:08.000ZPublic authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes summary financial information. The dataset consists of information from the statement of net assets and the statement of revenues, expenses and change in net assets reported by Local Development Corporations that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.
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Short-term Industry Projections
data.ny.gov | Last Updated 2024-03-06T19:36:11.000ZShort-term Industry Projections for a 2 year time horizon are provided for the state and 10 labor market regions to provide individuals and organizations with an industry outlook.
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Motor Vehicle Crashes by Facility, Port Authority of NY NJ: Beginning 2000
data.ny.gov | Last Updated 2019-06-10T17:59:09.000ZThe Port Authority of NY & NJ annually reports on motor vehicle crashes throughout its facilities. The data reported in this dataset represents motor vehicle crashes of vehicles in transport on public trafficways within Port Authority jurisdiction. A crash is a harmful event which involves a motor vehicle in transport that strikes another motor vehicle, other property, debris, animal, pedestrian, or bicyclist, or in which a motor vehicle overturns (rolls over), jackknifes, catches fire or explodes while within the trafficway.
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RSBS SMO: Pool and Spa, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey
data.ny.gov | Last Updated 2019-11-15T22:18:41.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.
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RSBS SMO: Heating and Cooling, New York State Residential Statewide Baseline Study: Single and Multifamily Occupant Telephone or Web Survey
data.ny.gov | Last Updated 2019-11-15T21:46:24.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes 2,982 single-family and 379 multifamily occupant survey completes for a total of 3,361 responses. The survey involved 2,285 Web, 1,041 telephone, and 35 mini-inspection surveys. The survey collected information on the following building characteristics: building shell, kitchen appliances, heating and cooling equipment, water heating equipment, clothes washing and drying equipment, lighting, pool and spa equipment, small household appliances, miscellaneous energy consuming equipment, as well as behaviors and characteristics of respondents.