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The U.S. job market, with its dynamic trends and fluctuating unemployment rates, serves as an important barometer for the nation's economic health. All rates provided in this dataset are seasonally adjusted. Delving into the intricacies of unemployment rates by age and gender helps researchers, policymakers, and analysts uncover underlying patterns and address potential disparities.
Image Source Photo by Ron Lach : https://www.pexels.com/photo/woman-looking-for-jobs-in-newspaper-9832700/
This dataset, sourced from the FRED API, provides:
- df_sex_unemployment_rates.csv: A breakdown of U.S. unemployment rates based on gender.
- df_unemployment_rates.csv: Unemployment rates categorized by various age groups, ranging from young entrants (ages 16-17) to seasoned professionals (55 and above).
Together, these data files offer a comprehensive insight into the nuances of unemployment in the U.S., highlighting potential disparities in the job market across different age groups and between men and women.
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Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Graph and download economic data for Unemployment Rate in Newport News City, VA (VANEWP5URN) from Jan 1990 to Aug 2025 about Newport News City, VA; Virginia Beach; VA; unemployment; rate; and USA.
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TwitterThe seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In August 2025, the national unemployment rate was at 4.3 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.
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Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterWidely reported unemployment metrics in the U.S. do not accurately represent the reality of joblessness in America.
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This study, integrating sentiment, emotion, discourse, and timeline analyses together, conducts a corpus-based sentiment analysis of the news articles on unemployment from the New York Times in 2020, to capture the emotional dynamics conveyed by the newspaper as the pandemic-induced unemployment developed in the US. The results reveal that positive sentiment in the news articles on unemployment is significantly higher than negative sentiment. In emotion analysis, “trust” and “anticipation”rank the first and second among the eight emotions, while “fear”and “sadness” top the negative emotions. Complemented with a discourse analysis approach, the study reveals that the change of the sentiments and emotions over time is linked with the evolution of the pandemic and unemployment, the policy response as well as the protests against ethnic inequalities. This study highlights the important role mainstream news media play in information dissemination and solution-focused reportage at the time of severe crisis.This dataset contains 14 documents for the data of 2 sentiments and 8 emotions, generated by Python. It includes NRC lexicon categories for the sentiments and emotions in the study (data1-10), top 10 high-frequency words associated to the sentiments and emotions in each of the 12 subcorpora (data11-12), and monthly values of the sentiments and emotions in 2020 (data 13-14).
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Graph and download economic data for Unemployment Rate in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (VIRG251URN) from Jan 1990 to Aug 2025 about Virginia Beach, VA, NC, unemployment, rate, and USA.
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United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data was reported at 0.000 % in 01 Dec 2025. This stayed constant from the previous number of 0.000 % for 24 Nov 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data is updated weekly, averaging 6.742 % from Jan 2020 (Median) to 01 Dec 2025, with 308 observations. The data reached an all-time high of 23.580 % in 28 Dec 2020 and a record low of 0.000 % in 01 Dec 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.
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TwitterOverview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to the total labor force. The unemployed include persons of working age, which are currently unemployed and are actively seeking
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China Unemployment Rate: Age 25 to 59 data was reported at 4.100 % in Jun 2023. This stayed constant from the previous number of 4.100 % for May 2023. China Unemployment Rate: Age 25 to 59 data is updated monthly, averaging 4.600 % from Nov 2017 (Median) to Jun 2023, with 67 observations. The data reached an all-time high of 5.600 % in Feb 2020 and a record low of 4.100 % in Jun 2023. China Unemployment Rate: Age 25 to 59 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GB: Surveyed Unemployment. According to NBS news, from Aug 2023, the urban surveyed unemployment rate of the young people by age group will be suspend. 根据国家统计局新闻发布会,自2023年8月份起,全国青年人等分年龄段的城镇调查失业率将暂停发布.
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View monthly updates and historical trends for Newport News, VA Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts an…
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TwitterOverview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to Germany's total labor force. The indicator is calculated using seasonally adjusted data. A decrease in unemployment rate can
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Unemployment Rate in Japan remained unchanged at 2.60 percent in October. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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TwitterOverview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to China's total civilian labor force. The indicator is calculated based on seasonally adjusted data. A decline in the unemployment
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This is a dataset that tracks relevant population statistics and employment rates per US state since 1976.
All data are official figures from the Bureau of Labor Statistics that have been compiled and structured by myself. Besides the 50 US states, the unemployment data of three other areas are also being tracked in order to increase the analytical potential of the dataset: the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City.
Why did I create this dataset? Employment continues to be a significant issue in America today and contributes to other predicaments such as the homelessness crisis. By uploading time-series data regarding American unemployment over the past four decades, I hope that the community is able to determine the various statistical trends offered. In my personal opinion, achieving a quantitative yet objective viewpoint of a subject such as unemployment is crucial to understanding the issues at hand.
2023-03-01 - Dataset is created (17,227 days after temporal coverage start date).
GitHub Repository - The same data but on GitHub.
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Hi! This dataset contains Weibo posts that contains the word "Unemployment" from January 2023 to November 2023.
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TwitterOverview with Chart & Report: The Unemployment Rate reflects a percentage of unemployed workers in relation to the total labor force. The unemployed include persons of working age, which are currently unemployed and are actively
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TwitterGallup tracks daily the percentage of U.S. adults, ages 18 and older, who are unemployed. "Unemployed" respondents are those who are not employed, even for one hour a week, but are available and looking for work. Unemployment is calculated as a percent of the workforce. Monthly results reflect an average of the calendar month, based on telephone interviews with approximately 30,000 adults. Gallup adjusts its unemployment rate using the seasonal adjustment the BLS used in the same month in the prior year.
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This poll, fielded December 4-8, 2009, is a part of a continuing series of monthly surveys that solicits public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way Barack Obama was handling his job as president, job creation, the economy, the situation in Afghanistan, and health care. Several questions addressed the economy and included questions that asked for respondents' opinions on the condition of the economy, the recession, who they thought was to blame for the current high employment rate in the United States, whether they thought Republicans or Democrats would create new jobs, and whether the government's stimulus package made the economy better or created new jobs. Respondents were asked about their personal financial situation, their rating of their household's financial situation, whether they thought their financial situation was getting better, what worried them the most about their finances, whether they had made cutbacks in their day-to-day spending, how their family had been affected by the recession, and whether they discussed the financial changes with their children. Information was collected on respondents' employment status. Unemployed respondents were asked how long they had been out of work and seeking employment, how long they expected it to take to find employment, whether they were laid off, whether they were offered a severance package with their last employer, what was most effective in finding leads for new jobs, and whether they had relocated, considered changing their career, or pursued job re-training programs to increase their chances of finding employment. Respondents were asked how confident they were that they would find a job with the same income and benefits as their last job, whether they were receiving unemployment benefits, and whether they took any money from their savings account, borrowed money from family or friends, increased the household's credit card debt, cut back on vacations or doctors visits, or received food stamps as result of being unemployed. Respondents were also asked whether the following things occurred as a result of them being unemployed: positive experiences, increase in volunteer work or religious service attendance, increased stress levels or exercise time, threatened with foreclosure, had more arguments with family, emotional or mental health issues, or had trouble sleeping. Other topics covered included global warming, health insurance plans, health care reform, job security, and the war in Afghanistan. Demographic information includes sex, age, race, education level, household income, military service, religious preference, reported social class, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, voter registration status, and whether respondents thought of themselves as born again Christians.
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The U.S. job market, with its dynamic trends and fluctuating unemployment rates, serves as an important barometer for the nation's economic health. All rates provided in this dataset are seasonally adjusted. Delving into the intricacies of unemployment rates by age and gender helps researchers, policymakers, and analysts uncover underlying patterns and address potential disparities.
Image Source Photo by Ron Lach : https://www.pexels.com/photo/woman-looking-for-jobs-in-newspaper-9832700/
This dataset, sourced from the FRED API, provides:
- df_sex_unemployment_rates.csv: A breakdown of U.S. unemployment rates based on gender.
- df_unemployment_rates.csv: Unemployment rates categorized by various age groups, ranging from young entrants (ages 16-17) to seasoned professionals (55 and above).
Together, these data files offer a comprehensive insight into the nuances of unemployment in the U.S., highlighting potential disparities in the job market across different age groups and between men and women.