Mississippi Poverty Rate by County

Data Item State
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Persons below poverty level, percent, 2009-2013 - (Percent)
County Value
Adams 28.4
Alcorn 20.8
Amite 25.7
Attala 27.7
Benton 24.1
Bolivar 34.3
Calhoun 23.7
Carroll 24.4
Chickasaw 25.3
Choctaw 24.1
Claiborne 33.1
Clarke 23.4
Clay 26.4
Coahoma 38.2
Copiah 26.3
Covington 29.9
DeSoto 9.8
Forrest 27.6
Franklin 23.0
George 18.6
Greene 18.2
Grenada 21.9
Hancock 18.7
Harrison 19.9
Hinds 25.3
Holmes 43.5
Humphreys 44.9
Issaquena 32.5
Itawamba 15.7
Jackson 15.9
Jasper 22.1
Jefferson 40.0
Jefferson Davis 27.0
Jones 23.0
Kemper 33.3
Lafayette 25.6
Lamar 17.4
Lauderdale 24.1
Lawrence 18.8
Leake 27.7
Lee 18.3
Leflore 40.4
Lincoln 23.5
Lowndes 25.4
Madison 12.7
Marion 28.2
Marshall 22.2
Monroe 21.6
Montgomery 31.1
Neshoba 24.1
Newton 18.6
Noxubee 34.6
Oktibbeha 33.7
Panola 25.3
Pearl River 22.2
Perry 21.0
Pike 27.5
Pontotoc 14.0
Prentiss 24.2
Quitman 40.7
Rankin 11.5
Scott 24.7
Sharkey 31.2
Simpson 22.6
Smith 23.6
Stone 18.0
Sunflower 36.1
Tallahatchie 30.2
Tate 18.5
Tippah 25.5
Tishomingo 17.6
Tunica 30.3
Union 23.5
Walthall 25.3
Warren 24.4
Washington 37.3
Wayne 28.4
Webster 24.9
Wilkinson 27.8
Winston 29.8
Yalobusha 22.2
Yazoo 35.5

Value for Mississippi (Percent): 22.7%

Data item: Persons below poverty level, percent, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year. http://factfinder2.census.gov


Poverty statistics in ACS products adhere to the standards specified by the Office of Management and Budget in Statistical Policy Directive 14. The Census Bureau uses a set of dollar value thresholds that vary by family size and composition to determine who is in poverty. Further, poverty thresholds for people living alone or with nonrelatives (unrelated individuals) vary by age (under 65 years or 65 years and older). The poverty thresholds for two-person families also vary by the age of the householder. If a family's total income is less than the dollar value of the appropriate threshold, then that family and every individual in it are considered to be in poverty. Similarly, if an unrelated individual's total income is less than the appropriate threshold, then that individual is considered to be in poverty.

How the Census Bureau Determines Poverty Status

Poverty status is determined by comparing annual income to a set of dollar values called poverty thresholds that vary by family size, number of children and age of householder. If a family's before tax money income is less than the dollar value of their threshold, then that family and every individual in it are considered to be in poverty. For people not living in families, poverty status is determined by comparing the individual's income to his or her poverty threshold.

The poverty thresholds are updated annually to allow for changes in the cost of living using the Consumer Price Index (CPI-U). They do not vary geographically. The ACS is a continuous survey and people respond throughout the year. Since income is reported for the previous 12 months, the appropriate poverty threshold for each family is determined by multiplying the base-year poverty threshold (1982) by the average of monthly CPI values for the 12 months preceding the survey month.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at factfinder2.census.gov. The data are period estimates, that is, they represent the characteristics of the population over a specific 60-month data collection period.

Since answers to income questions are frequently based on memory and not on records, many people tended to forget minor or sporadic sources of income and, therefore, underreport their income. Underreporting tends to be more pronounced for income sources that are not derived from earnings, such as public assistance, interest, dividends, and net rental income.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Economic Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Economic Characteristics. This profile is displayed by geography. Click on the link for "Browse for Data sets (geography picked)" near the top of the Quick facts profile page, click on the link for People QuickLinks/American Community Survey - "Economic Characteristics" for the data profile.

Mean travel time to work (minutes), workers age 16 and over;
Per capita money income in the past 12 months,
Median household income,
Persons below poverty level, percent

More Information: