Graph and download economic data for Unemployment Rate in Memphis, TN-MS-AR (MSA) (MPHUR) from Jan 1990 to Aug 2025 about Memphis, MS, AR, TN, unemployment, rate, and USA.

View monthly updates and historical trends for Memphis, TN Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts analyti…

Graph and download economic data for Unemployment Rate in Shelby County, TN (TNSHURN) from Jan 1990 to Aug 2025 about Shelby County, TN; Memphis; TN; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Fayette County, TN (TNFAURN) from Jan 1990 to Aug 2025 about Fayette County, TN; Memphis; TN; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Tipton County, TN (TNTIURN) from Jan 1990 to Aug 2025 about Tipton County, TN; Memphis; TN; unemployment; rate; and USA.

Unemployment Rate in Memphis, TN-MS-AR (MSA) was 4.40% in August of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Memphis, TN-MS-AR (MSA) reached a record high of 12.90 in April of 2020 and a record low of 3.60 in December of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Memphis, TN-MS-AR (MSA) - last updated from the United States Federal Reserve on October of 2025.

Employment, Unemployment and Labor Data from the Bureau of Labor Statistics

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Memphis. The dataset can be utilized to gain insights into gender-based income distribution within the Memphis population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Memphis, among individuals aged 15 years and older with income, there were 197,012 men and 224,766 women in the workforce. Among them, 106,829 men were engaged in full-time, year-round employment, while 106,899 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 12.66% fell within the income range of under $24,999, while 14.25% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 16.65% of men in full-time roles earned incomes exceeding $100,000, while 9.38% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Memphis median household income by race. You can refer the same here

Graph and download economic data for Employed Persons in Fayette County, TN (LAUCN470470000000005) from Jan 1990 to Aug 2025 about Fayette County, TN; Memphis; TN; household survey; persons; employment; and USA.

Objective: Our objective was to develop and test a new concept (affinity) analogous to multimorbidity of chronic conditions for individuals at census tract level in Memphis, TN. The use of affinity will improve the surveillance of multiple chronic conditions and facilitate the design of effective interventions. Methods: We used publicly available chronic condition data (Center for Disease Control and Prevention (CDC) 500 Cities project), socio-demographic data (U.S. Census Bureau) and demographics data (Environmental Systems Research Institute; ESRI). We examined the geographic pattern of the affinity of chronic conditions using global Moran’s I and Getis-Ord Gi statistics and its association with socio-economic disadvantage (poverty, unemployment, and crime) using robust regression models. We also used the most common behavioral factor, smoking, and other demographic factors (percent of the male population, percent of the population 67 years and over and total population size) as control variables in the model. Results: A geo-distinctive pattern of clustered chronic affinity associated with socio-economic deprivation was observed. Statistical results confirmed that neighborhoods with higher rates of crime, poverty, and unemployment were associated with an increased likelihood of having a higher affinity among major chronic conditions. With the inclusion of smoking in the model, however, only the crime prevalence was statistically significantly associated with the chronic affinity. Conclusion: Chronic affinity disadvantages were disproportionately accumulated in socially disadvantaged areas. We showed links between commonly co-observed chronic diseases at the population level and systematically explored the complexity of affinity and socio-economic disparities. Our affinity score, based on publicly available datasets, served as a surrogate for multimorbidity at the population level, which may assist policymakers and public health planners to identify urgent hot spots for chronic disease and allocate clinical, medical and healthcare resources efficiently.

Graph and download economic data for Unemployed Persons in Shelby County, TN (LAUCN471570000000004) from Jan 1990 to Aug 2025 about Shelby County, TN; Memphis; TN; household survey; persons; unemployment; and USA.

Graph and download economic data for Unemployed Persons in Fayette County, TN (LAUCN470470000000004) from Jan 1990 to Aug 2025 about Fayette County, TN; Memphis; TN; household survey; persons; unemployment; and USA.

Graph and download economic data for Unemployed Persons in Memphis, TN-MS-AR (MSA) (LAUMT473282000000004) from Jan 1990 to Aug 2025 about Memphis, MS, AR, TN, household survey, persons, unemployment, and USA.

Graph and download economic data for All Employees: Total Nonfarm in Memphis, TN-MS-AR (MSA) (MPHNA) from Jan 1990 to Aug 2025 about Memphis, MS, AR, payrolls, TN, nonfarm, employment, and USA.

Graph and download economic data for Employed Persons in Shelby County, TN (LAUCN471570000000005) from Jan 1990 to Aug 2025 about Shelby County, TN; Memphis; TN; household survey; persons; employment; and USA.

Graph and download economic data for All Employees: Professional and Business Services: Management of Companies and Enterprises in Memphis, TN-MS-AR (MSA) (SMU47328206055000001SA) from Jan 1990 to Aug 2025 about Memphis, management, enterprises, MS, AR, TN, services, employment, and USA.

Graph and download economic data for All Employees: Professional and Business Services in Memphis, TN-MS-AR (MSA) (SMU47328206000000001A) from 1990 to 2024 about Memphis, MS, AR, professional, TN, business, services, employment, and USA.

Graph and download economic data for Employed Persons in Memphis, TN-MS-AR (MSA) (LAUMT473282000000005) from Jan 1990 to Aug 2025 about Memphis, MS, AR, TN, household survey, persons, employment, and USA.

Graph and download economic data for All Employees: Other Services in Memphis, TN-MS-AR (MSA) (MPHSRVO) from Jan 1990 to Aug 2025 about Memphis, MS, AR, TN, services, employment, and USA.

Graph and download economic data for All Employees: Transportation and Utilities: Transportation, Warehousing, and Utilities in Memphis, TN-MS-AR (MSA) (SMU47328204300000001A) from 1990 to 2024 about infrastructure, Memphis, warehousing, MS, utilities, AR, TN, transportation, employment, and USA.