Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2035 about NAIRU, long-term, projection, unemployment, rate, and USA.

United States - Natural Rate of Unemployment (Short-Term) (DISCONTINUED) was 4.27% in October of 2031, according to the United States Federal Reserve. Historically, United States - Natural Rate of Unemployment (Short-Term) (DISCONTINUED) reached a record high of 6.24 in April of 1978 and a record low of 4.27 in October of 2031. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Natural Rate of Unemployment (Short-Term) (DISCONTINUED) - last updated from the United States Federal Reserve on June of 2025.

United States CBO Projection: Natural Rate of Unemployment data was reported at 4.553 NA in Dec 2028. This records a decrease from the previous number of 4.554 NA for Sep 2028. United States CBO Projection: Natural Rate of Unemployment data is updated quarterly, averaging 4.800 NA from Sep 2002 (Median) to Dec 2028, with 106 observations. The data reached an all-time high of 6.000 NA in Dec 2012 and a record low of 4.553 NA in Dec 2028. United States CBO Projection: Natural Rate of Unemployment data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.G019: Current Population Survey: Unemployment Rate: Projection: Congressional Budget Office.

Graph and download economic data for Natural Rate of Unemployment (Short-Term) (DISCONTINUED) (NROUST) from Q1 1949 to Q4 2031 about NAIRU, short-term, projection, unemployment, rate, and USA.

Estimates of the natural rate of unemployment are important in many macroeconomic models used by economists and policy advisors. This paper shows how such estimates might benefit from closer attention to regional developments. Regional business cycles do not move in lock-step, and greater dispersion among regions can affect estimates of the natural rate of unemployment. There is microeconomic evidence that employers are more reluctant to cut wages than they are to raise them. Accordingly, the relationship between wage inflation and vacancies is convex: An increase in vacancies raises wage inflation at an increasing rate. The authors' empirical results are consistent with this and indicate that if all else had remained constant, the reduction in the dispersion of regional unemployment rates between 1982 and 2000 would have meant a two-percentage-point drop in the natural rate of aggregate unemployment.

Unemployment Rate in China decreased to 5 percent in May from 5.10 percent in April of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Unemployment Rate: Natural Resources, Construction & Maintenance data was reported at 4.800 % in Jun 2018. This records an increase from the previous number of 4.600 % for May 2018. United States Unemployment Rate: Natural Resources, Construction & Maintenance data is updated monthly, averaging 7.500 % from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 20.800 % in Feb 2010 and a record low of 4.000 % in Jul 2000. United States Unemployment Rate: Natural Resources, Construction & Maintenance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G018: Current Population Survey: Unemployment Rate.

United States - Noncyclical Rate of Unemployment was 4.11% in October of 2035, according to the United States Federal Reserve. Historically, United States - Noncyclical Rate of Unemployment reached a record high of 6.24 in April of 1978 and a record low of 4.11 in October of 2035. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Noncyclical Rate of Unemployment - last updated from the United States Federal Reserve on July of 2025.

How should one measure the natural rate of unemployment? This paper proposes a systems procedure as an alternative to NAIRU. The natural rate is treated as an unobserved state variable in a system that includes measurement equations for the unemployment rate, the rate of wage growth and the rate of inflation. The model is derived from a version of the wage bargaining model of Blanchard and embodies a version of the natural rate hypothesis. The model is estimated by embedding the Kalman filter within the full-information maximum likelihood procedure. For US data, the estimated model implies substantial post-war variation in the natural rate and a negative, but weak, effect of inflation surprises on unemployment.

United States - Unemployment Rate - Natural Resources, Construction, and Maintenance Occupations was 3.80% in May of 2025, according to the United States Federal Reserve. Historically, United States - Unemployment Rate - Natural Resources, Construction, and Maintenance Occupations reached a record high of 20.80 in February of 2010 and a record low of 3.20 in September of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Unemployment Rate - Natural Resources, Construction, and Maintenance Occupations - last updated from the United States Federal Reserve on July of 2025.

The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In February 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

Graph and download economic data for Unemployment Rate - Natural Resources, Construction, and Maintenance Occupations (LNU04032222) from Jan 2000 to Jun 2025 about natural resources, occupation, 16 years +, construction, household survey, unemployment, rate, and USA.

United States FRBOP Forecast: Ann Natural Rate of Unemployment: sa: Mean data was reported at 4.410 % in 2017. This records a decrease from the previous number of 4.841 % for 2016. United States FRBOP Forecast: Ann Natural Rate of Unemployment: sa: Mean data is updated yearly, averaging 5.013 % from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 5.927 % in 2012 and a record low of 4.410 % in 2017. United States FRBOP Forecast: Ann Natural Rate of Unemployment: sa: Mean data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G022: Current Population Survey: Unemployment Rate: Seasonally Adjusted: Forecast: Federal Reserve Bank of Philadelphia.

Graph and download economic data for Unemployment Rate - Native Born (LNU04073413) from Jan 2007 to May 2025 about native born, 16 years +, household survey, unemployment, rate, and USA.

Unemployment Rate in Japan remained unchanged at 2.50 percent in May. 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.

United States Unemployment: Natural Resources, Construction & Maintenance data was reported at 746.000 Person th in Jun 2018. This records an increase from the previous number of 685.000 Person th for May 2018. United States Unemployment: Natural Resources, Construction & Maintenance data is updated monthly, averaging 1,159.500 Person th from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 3,259.000 Person th in Feb 2010 and a record low of 594.000 Person th in Jul 2000. United States Unemployment: Natural Resources, Construction & Maintenance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G016: Current Population Survey: Unemployment.

Unemployment Rate in Russia decreased to 2.20 percent in May from 2.30 percent in April of 2025. This dataset provides - Russia Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The unemployment rate of the United Kingdom was 4.6 percent in April 2025, an increase from the previous month. Before the arrival of the COVID-19 pandemic, the UK had relatively low levels of unemployment, comparable with the mid-1970s. Between January 2000 and the most recent month, unemployment was highest in November 2011 when the unemployment rate hit 8.5 percent. Will unemployment continue to rise in 2025? Although low by historic standards, there has been a noticeable uptick in the UK's unemployment rate, with other labor market indicators also pointing to further loosening. In December 2024, the number of job vacancies in the UK, fell to its lowest level since May 2021, while payrolled employment declined by 47,000 compared with November. Whether this is a continuation of a broader cooling of the labor market since 2022, or a reaction to more recent economic developments, such as upcoming tax rises for employers, remains to be seen. Forecasts made in late 2024 suggest that the unemployment rate will remain relatively stable in 2025, averaging out at 4.1 percent, and falling again to four percent in 2026.
Demographics of the unemployed As of the third quarter of 2024, the unemployment rate for men was slightly higher than that of women, at 4.4 percent, compared to 4.1 percent. During the financial crisis at the end of the 2000s, the unemployment rate for women peaked at a quarterly rate of 7.7 percent, whereas for men, the rate was 9.1 percent. Unemployment is also heavily associated with age, and young people in general are far more vulnerable to unemployment than older age groups. In late 2011, for example, the unemployment rate for those aged between 16 and 24 reached 22.3 percent, compared with 8.2 percent for people aged 25 to 34, while older age groups had even lower peaks during this time.

This is the dataset used in the research paper "Do Remittances Mitigate the Impact of Climate Change on Migration? Evidence from Mexico". Based on the EMIF survey of Mexico-U.S. migration, this dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database. Finally, the dataset contains state-level information on a number of economic control variables including GDP per capita, the unemployment rate as well as the homicide rate per 100,000 inhabitants.

In the paper, we conduct dynamic system-GMM estimations in order to address the potential endogeneity of remittances. Our findings suggest that remittances mitigate the impact of natural disasters on migration. However, we observe negative effects of climatic anomalies on migration, which are not moderated by remittances. Thus, it appears that remittances serve as an informal insurance strategy but may not facilitate long-term adaptation to climate change.

Context

Introduction: The dataset used for this experiment is real and authentic. The dataset is acquired from UCI machine learning repository website [13]. The title of the dataset is ‘Crime and Communities’. It is prepared using real data from socio-economic data from 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crimedata from the 1995 FBI UCR [13]. This dataset contains a total number of 147 attributes and 2216 instances.

The per capita crimes variables were calculated using population values included in the 1995 FBI data (which differ from the 1990 Census values).

Content

The variables included in the dataset involve the community, such as the percent of the population considered urban, and the median family income, and involving law enforcement, such as per capita number of police officers, and percent of officers assigned to drug units. The crime attributes (N=18) that could be predicted are the 8 crimes considered 'Index Crimes' by the FBI)(Murders, Rape, Robbery, .... ), per capita (actually per 100,000 population) versions of each, and Per Capita Violent Crimes and Per Capita Nonviolent Crimes)

predictive variables : 125 non-predictive variables : 4 potential goal/response variables : 18

Acknowledgements

http://archive.ics.uci.edu/ml/datasets/Communities%20and%20Crime%20Unnormalized

U. S. Department of Commerce, Bureau of the Census, Census Of Population And Housing 1990 United States: Summary Tape File 1a & 3a (Computer Files),

U.S. Department Of Commerce, Bureau Of The Census Producer, Washington, DC and Inter-university Consortium for Political and Social Research Ann Arbor, Michigan. (1992)

U.S. Department of Justice, Bureau of Justice Statistics, Law Enforcement Management And Administrative Statistics (Computer File) U.S. Department Of Commerce, Bureau Of The Census Producer, Washington, DC and Inter-university Consortium for Political and Social Research Ann Arbor, Michigan. (1992)

U.S. Department of Justice, Federal Bureau of Investigation, Crime in the United States (Computer File) (1995)

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Data available in the dataset may not act as a complete source of information for identifying factors that contribute to more violent and non-violent crimes as many relevant factors may still be missing.

However, I would like to try and answer the following questions answered.

1. Analyze if number of vacant and occupied houses and the period of time the houses were vacant had contributed to any significant change in violent and non-violent crime rates in communities

2. How has unemployment changed crime rate(violent and non-violent) in the communities?

3. Were people from a particular age group more vulnerable to crime?

4. Does ethnicity play a role in crime rate?

5. Has education played a role in bringing down the crime rate?