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U.S. Census Bureau QuickFacts statistics for Mississippi. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Context
The dataset tabulates the population of Mississippi by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mississippi. The dataset can be utilized to understand the population distribution of Mississippi by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mississippi. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mississippi.
Key observations
Largest age group (population): Male # 10-14 years (107,908) | Female # 15-19 years (105,208). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Mississippi Population by Gender. You can refer the same here
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Graph and download economic data for Labor Force Participation Rate for Mississippi (LBSNSA28) from Jan 1976 to Apr 2025 about participation, MS, labor force, labor, rate, and USA.
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Graph and download economic data for Employed Persons in Mississippi (LAUST280000000000005A) from 1976 to 2024 about MS, household survey, employment, persons, and USA.
In 2023, **** percent of Mississippi residents were Black or African American. A further **** percent of the population were white, and *** percent of Mississippi residents were of two or more races in that same year.
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License information was derived automatically
Context
The dataset tabulates the population of Mississippi by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Mississippi across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 51.5% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Mississippi Population by Race & Ethnicity. You can refer the same here
In 2022, the per capita personal income in Mississippi was 46,370 U.S. dollars. Per capita personal income is calculated as the personal income of the residents of a given area divided by the resident population of the area.
In 2023, 18 percent of Mississippi's population lived below the poverty line. This figure decreased slightly from the previous year. Since 2000, the poverty rate in Mississippi has been relatively high, and peaked in 2012, at 24.2 percent. The poverty rate of the United States can be found here.
In 2023, about 582,307 Mississippi residents aged 25 years and older had a high school degree or equivalency as their highest level of education. Furthermore, about 427,986 people in the state had some college, but no degree, as their highest level of education.
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Graph and download economic data for Unemployed Persons in Mississippi (LAUST280000000000004) from Jan 1976 to Apr 2025 about MS, household survey, unemployment, persons, and USA.
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United States Population: Mississippi data was reported at 2,984,100.000 Person in 2017. This records a decrease from the previous number of 2,985,415.000 Person for 2016. United States Population: Mississippi data is updated yearly, averaging 2,946,104.000 Person from Jun 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 2,988,578.000 Person in 2014 and a record low of 2,848,310.000 Person in 2000. United States Population: Mississippi data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.G003: Population By State.
The dataset contains information collected from 122 K-12 public school food service directors in Mississippi, USA, who completed an online survey designed for Mississippi school food service directors. The survey was created using Snap Surveys Desktop software. Information includes school size (number of enrolled students), percent of students participating in free or reduced-price lunch, foods sourced locally (defined as grown or produced in Mississippi), desire to purchase more or start purchasing locally sourced foods, fresh fruit and vegetable purchasing practices, experience purchasing fruits and vegetables from farmers, challenges purchasing from farmers, and interest in other farm to school (F2S) activities. School food service directors' demographic characteristics collected include gender, age, ethnicity/race, marital status, and education level. The data were collected from October 2021 to January 2022 using an online mobile and secure survey management system called Snap Online. The data were collected to obtain updated demographic and school purchasing characteristics from school food service directors in Mississippi and to determine their current abilities, experiences, and desires to engage in F2S activities. The dataset can be used to learn about K-12 public school food service directors in Mississippi but results should not be generalized to all school food service directors in Mississippi or elsewhere in the USA. Resources in this dataset:Resource Title: Mississippi Farm to School Food Service Director Dataset. File Name: MS F2S School Data Public.csvResource Description: The dataset contains information collected from 122 K-12 public school food service directors in Mississippi regarding their experience with and interest in farm to school, including purchasing local foods. It also contains demographic characteristics of the school food service directors and their fresh fruit and vegetable purchasing practices.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel Resource Title: Mississippi Farm to School Food Service Director Data Dictionary. File Name: MS F2S School Data Dictionary Public.csvResource Description: The file contains information for variables contained in the associated dataset including names, brief descriptions, types, lengths, and values.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel
Yearly and monthly growth charts for sports betting in Mississippi , including handle, revenue, and growth metrics
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All Employees: Professional and Business Services in Mississippi was 120.80000 Thous. of Persons in April of 2025, according to the United States Federal Reserve. Historically, All Employees: Professional and Business Services in Mississippi reached a record high of 120.80000 in April of 2025 and a record low of 49.50000 in February of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Professional and Business Services in Mississippi - last updated from the United States Federal Reserve on July of 2025.
In 2022, around 77 percent of all reported legal abortions in Mississippi were performed on non-Hispanic Black women. This statistic depicts the distribution of reported legal abortions in Mississippi in 2022, by the race/ethnicity of the women who obtained abortions.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from State officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. TIGER/Line Shapefiles include separate shapefiles for elementary, secondary and unified school districts. The school district boundaries are those in effect for the 2022-2023 school year, i.e., in operation as of January 1, 2023.
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United States Household Income: Mississippi data was reported at 43,441.000 USD in 2017. This records an increase from the previous number of 41,099.000 USD for 2016. United States Household Income: Mississippi data is updated yearly, averaging 31,610.000 USD from Mar 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 43,441.000 USD in 2017 and a record low of 15,430.000 USD in 1984. United States Household Income: Mississippi data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H048: Household Income: by State.
To improve flood-frequency estimates at rural streams in Mississippi, annual exceedance probability (AEP) flows at gaged streams in Mississippi and regional-regression equations, used to estimate annual exceedance probability flows for ungaged streams in Mississippi, were developed by using current geospatial data, additional statistical methods, and annual peak-flow data through the 2013 water year. The regional-regression equations were derived from statistical analyses of peak-flow data, basin characteristics associated with 281 streamgages, the generalized skew from Bulletin 17B (Interagency Advisory Committee on Water Data, 1982), and a newly developed study-specific skew for select four-digit hydrologic unit code (HUC4) watersheds in Mississippi. Four flood regions were identified based on residuals from the regional-regression analyses. No analysis was conducted for streams in the Mississippi Alluvial Plain flood region because of a lack of long-term streamflow data and poorly defined basin characteristics. Flood regions containing sites with similar basin and climatic characteristics yielded better regional-regression equations with lower error percentages. The generalized least squares method was used to develop the final regression models for each flood region for annual exceedance probability flows. The peak-flow statistics were estimated by fitting a log-Pearson type III distribution to records of annual peak flows and then applying two additional statistical methods: (1) the expected moments algorithm to help describe uncertainty in annual peak flows and to better represent missing and historical record; and (2) the generalized multiple Grubbs-Beck test to screen out potentially influential low outliers and to better fit the upper end of the peak-flow distribution. Standard errors of prediction of the generalized least-squares models ranged from 28 to 46 percent. Pseudo coefficients of determination of the models ranged from 91 to 96 percent.The Mississippi Alluvial Plain (MAP) Flood Region is characterized by low slopes, backwater conditions, interconnecting drainage ditches, levees, indeterminate drainage boundaries, and other factors that make calculations of flood frequency uncertain. In addition, there is a lack of sufficient long-term streamflow record in the MAP; thus, flood-frequency calculations were not produced for this region.
In 2023, some ** percent of all Black adults in Mississippi were obese. Extra weight due to being obese can put extra strain on joints which can lead to osteoarthritis. This statistic depicts the obesity rates for adults in Mississippi in 2023, by race/ethnicity.
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Historical Dataset of Mississippi is provided by PublicSchoolReview and contain statistics on metrics:Trends in the Average Number of Students Per Public School,Trends in the Average Number of Teachers Per Public School,Student-Teacher Ratio Trends (1991-2023),Percentage of Public School Students of American Indian Trends,Asian Student Percentage Trends,Hispanic Student Percentage Trends,Black Student Percentage Trends,White Student Percentage Trends,Two or More Races Student Percentage Trends,Diversity Score Trends,Free Lunch Eligibility Trends,Reduced-Price Lunch Eligibility Trends,Median Total Revenues Trends,Median Total Expenditures Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Mississippi. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.