Missouri Poverty Rate by County

Data Item State
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Persons below poverty level, percent, 2009-2013 - (Percent)
County Value
Adair 23.7
Andrew 8.2
Atchison 11.6
Audrain 17.0
Barry 19.1
Barton 18.7
Bates 18.6
Benton 20.1
Bollinger 19.9
Boone 20.0
Buchanan 17.0
Butler 21.2
Caldwell 14.3
Callaway 13.0
Camden 16.1
Cape Girardeau 15.8
Carroll 13.6
Carter 21.9
Cass 8.9
Cedar 23.3
Chariton 16.5
Christian 10.6
Clark 17.6
Clay 9.0
Clinton 10.2
Cole 13.3
Cooper 17.8
Crawford 21.1
Dade 20.6
Dallas 22.8
Daviess 14.7
DeKalb 9.9
Dent 20.9
Douglas 22.6
Dunklin 25.6
Franklin 12.5
Gasconade 14.8
Gentry 17.2
Greene 18.7
Grundy 15.8
Harrison 16.3
Henry 18.1
Hickory 21.6
Holt 12.3
Howard 18.2
Howell 23.8
Iron 23.7
Jackson 17.4
Jasper 18.4
Jefferson 11.3
Johnson 17.6
Knox 26.3
Laclede 19.7
Lafayette 9.5
Lawrence 18.6
Lewis 15.0
Lincoln 13.6
Linn 15.1
Livingston 17.8
Macon 16.2
Madison 21.4
Maries 16.7
Marion 16.2
McDonald 21.8
Mercer 20.3
Miller 20.9
Mississippi 26.9
Moniteau 11.4
Monroe 14.7
Montgomery 17.5
Morgan 23.4
New Madrid 21.7
Newton 15.0
Nodaway 28.4
Oregon 27.7
Osage 8.7
Ozark 20.0
Pemiscot 29.3
Perry 12.0
Pettis 18.4
Phelps 18.1
Pike 15.1
Platte 7.4
Polk 23.6
Pulaski 12.8
Putnam 18.8
Ralls 9.9
Randolph 19.4
Ray 11.6
Reynolds 24.4
Ripley 24.6
Saline 18.6
Schuyler 24.0
Scotland 18.2
Scott 19.1
Shannon 25.2
Shelby 18.4
St. Charles 5.8
St. Clair 21.8
St. Francois 19.4
St. Louis 10.9
St. Louis city 27.4
Ste. Genevieve 11.9
Stoddard 15.0
Stone 17.1
Sullivan 17.0
Taney 18.8
Texas 21.4
Vernon 21.0
Warren 13.4
Washington 23.4
Wayne 21.9
Webster 18.9
Worth 13.2
Wright 27.5

Value for Missouri (Percent): 15.5%

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

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