Graph and download economic data for Unemployment Rate in New York (NYUR) from Jan 1976 to May 2025 about NY, unemployment, rate, and USA.

In 2023, the unemployment rate in New York was at 4.2 percent. This is a decrease from the previous year, when the unemployment rate stood at 4.3 and significantly lower than the state's high of 9.8 percent in 2020.

Graph and download economic data for Unemployment Rate in New York County, NY (NYNEWY1URN) from Jan 1990 to May 2025 about New York County, NY; New York; NY; unemployment; rate; and USA.

description: The Local Area Unemployment Statistics program estimates labor force statistics (labor force, employed, unemployment, unemployment rate) for New York State civilian labor force aged 16 and up. Areas covered include, New York State, New York City, Balance of State, Metropolitan Statistical Areas, Counties, Labor Market Regions, Workforce Investment Board Areas, and cities and towns with populations of 25,000 or more. Data are not seasonally adjusted. Civilian labor force data do not include military, prison inmate, or other institutional populations.; abstract: The Local Area Unemployment Statistics program estimates labor force statistics (labor force, employed, unemployment, unemployment rate) for New York State civilian labor force aged 16 and up. Areas covered include, New York State, New York City, Balance of State, Metropolitan Statistical Areas, Counties, Labor Market Regions, Workforce Investment Board Areas, and cities and towns with populations of 25,000 or more. Data are not seasonally adjusted. Civilian labor force data do not include military, prison inmate, or other institutional populations.

Graph and download economic data for Unemployment Rate in New York-Newark-Jersey City, NY-NJ-PA (MSA) (NEWY636UR) from Jan 1990 to May 2025 about NJ, New York, PA, NY, unemployment, rate, and USA.

New York City Area Unemployment Rate: 35 years of historical data from 1990 to 2025.

Unemployment Rate in New York was 4.20% in April of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in New York reached a record high of 16.70 in May of 2020 and a record low of 3.80 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in New York - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Unemployment Rate in Kings County, NY (NYKING7URN) from Jan 1990 to May 2025 about Kings County, NY; New York; NY; unemployment; rate; and USA.

Unemployment Rate in Bronx County, NY was 6.10% in April of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Bronx County, NY reached a record high of 26.50 in May of 2020 and a record low of 4.70 in December of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Bronx County, NY - last updated from the United States Federal Reserve on July of 2025.

In an opinion poll conducted late March 2020, **** percent of New York City residents surveyed said they or someone in their household had lost their job as a result of the COVID-19 outbreak.

Graph and download economic data for All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY (SMU36935617072200001SA) from Jan 1990 to Apr 2025 about beverages, New York, NY, food, services, employment, and USA.

In 2023, the GDP of the New York metro area amounted to *** trillion chained 2017 U.S. dollars. This is an increase from 2021, when the GDP of the New York metro area was **** trillion dollars. New York CityThe New York metro area’s GDP has steadily risen in the last two decades from *** trillion U.S. dollars in 2001 to **** trillion U.S. dollars in 2023. In September 2023, the New York- Newark-Jersey City area had an unemployment rate of *** percent. It also had the highest population in the country in 2022 at ***** million people. New York City’s economy is one of the greatest in the country and is home to many Fortune 500 companies, including Big Pharma’s Bristol-Myers Squibb. Industries such as media, real estate, fashion and entertainment are some of the most prominent in the area. The finance industry in New York City, also known as Wall Street, is one of the leading financial centers of the world and houses the New York Stock Exchange and NASDAQ. The region is also home to one of the largest trading industries in the country at the Port of New York and New Jersey. This port includes a large estuary, regional airports, and a plethora of rail and road networks. Silicon Alley is one of the country’s largest technology industry hubs, including internet, telecommunications, and biotechnology. In 2022, there were some ****** business establishments in the region that focused on professional, scientific, and technical services.

Graph and download economic data for Continued Claims (Insured Unemployment) in New York (NYCCLAIMS) from 1986-02-08 to 2025-06-28 about continued claims, insurance, NY, unemployment, and USA.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Can American Strategic Investment (NYC) Continue Its Market Outperformance?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Listing of SONYMA target areas by US Census Bureau Census Tract or Block Numbering Area (BNA). The State of New York Mortgage Agency (SONYMA) targets specific areas designated as ‘areas of chronic economic distress’ for its homeownership lending programs. Each state designates ‘areas of chronic economic distress’ with the approval of the US Secretary of Housing and Urban Development (HUD). SONYMA identifies its target areas using US Census Bureau census tracts and block numbering areas. Both census tracts and block numbering areas subdivide individual counties. SONYMA also relates each of its single-family mortgages to a specific census tract or block numbering area. New York State identifies ‘areas of chronic economic distress’ using census tract numbers. 26 US Code § 143 (current through Pub. L. 114-38) defines the criteria that the Secretary of Housing and Urban Development uses in approving designations of ‘areas of chronic economic distress’ as: i) the condition of the housing stock, including the age of the housing and the number of abandoned and substandard residential units, (ii) the need of area residents for owner-financing under this section, as indicated by low per capita income, a high percentage of families in poverty, a high number of welfare recipients, and high unemployment rates, (iii) the potential for use of owner-financing under this section to improve housing conditions in the area, and (iv) the existence of a housing assistance plan which provides a displacement program and a public improvements and services program. The US Census Bureau’s decennial census last took place in 2010 and will take place again in 2020. While the state designates ‘areas of chronic economic distress,’ the US Department of Housing and Urban Development must approve the designation. The designation takes place after the decennial census.

The collection consists of time series for the births and deaths of newspapers for Baltimore, Boston, Buffalo, New York City, Philadelphia, and Washington, DC, with time-varying covariates. This data collection stemmed from a study of cultural production and the role of newspapers in social and political mobilization. The data have been used to study ethnic and political group formation and the importance of newspapers as an indicator of civil society. The New York City data also allow the analysis of organizational histories, including mergers, and newspapers' chained histories. Data were collected from secondary data sources, including multiple sources for newspapers, United States historical censuses, immigration data, wars, recessions, unemployment rates, and election data. The length of the time series varies by city, with the longest series for New York City, Buffalo, Boston, and Philadelphia. For most files, the year is the unit of analysis, which lends itself to Poisson count analyses or event history. Network techniques are appropriate with the entrepreneurship data. Parts 1-7 of this collection contain pooled data across multiple cities. Parts 8 and 9 contain data for Baltimore. Parts 10-25 include data from Boston, while Parts 26-45 cover Buffalo. Parts 46-63 are data for New York City and Parts 64-89 contain data for Philadelphia. Lastly, Parts 90 and 91 include data for Washington, DC.