Illinois Poverty Rate by City

Data Item State
Persons below poverty level, percent, 2009-2013 - (Percent)
City Value
Addison 14.4
Algonquin 3.6
Alsip 11.8
Alton 24.6
Antioch 8.5
Arlington Heights 4.2
Aurora 14.1
Barrington 8.1
Bartlett 5.0
Bartonville 11.1
Batavia 7.5
Beach Park 5.7
Beardstown 22.0
Belleville 16.6
Bellwood 14.2
Belvidere 14.8
Bensenville 15.8
Benton 25.0
Berkeley 5.2
Berwyn 14.4
Bethalto 15.5
Bloomingdale 6.0
Bloomington 11.9
Blue Island 21.7
Bolingbrook 8.4
Bourbonnais 12.0
Bradley 7.8
Braidwood 12.5
Bridgeview 17.8
Broadview 9.6
Brookfield 8.7
Buffalo Grove 4.6
Burbank 11.0
Burr Ridge 5.5
Cahokia 35.8
Calumet City 21.9
Calumet Park 16.2
Campton Hills 4.4
Canton 17.2
Carbondale 48.2
Carlinville 13.6
Carmi 20.6
Carol Stream 9.2
Carpentersville 16.4
Carterville 14.8
Cary 6.4
Centralia 23.6
Centreville 30.8
Champaign 26.6
Channahon 2.8
Charleston 33.8
Chatham 5.7
Chester 20.9
Chicago 22.6
Chicago Heights 29.0
Chicago Ridge 14.7
Chillicothe 11.7
Cicero 19.8
Clarendon Hills 6.6
Clinton 18.4
Coal City 8.7
Collinsville 15.0
Colona 14.8
Columbia 5.3
Country Club Hills 17.1
Countryside 10.7
Crest Hill 12.8
Crestwood 6.1
Crete 7.2
Creve Coeur 13.1
Crystal Lake 4.7
Danville 30.3
Darien 6.3
Decatur 23.1
Deerfield 2.2
DeKalb 32.5
Des Plaines 6.9
Dixon 12.2
Dolton 21.6
Downers Grove 4.6
Du Quoin 27.6
East Alton 24.1
East Moline 16.8
East Peoria 11.7
East St. Louis 46.7
Edwardsville 12.6
Effingham 13.3
Elburn 6.1
Elgin 13.8
Elk Grove Village 5.2
Elmhurst 3.5
Elmwood Park 7.7
Eureka 17.0
Evanston 12.9
Evergreen Park 8.7
Fairfield 22.6
Fairview Heights 5.8
Flossmoor 2.7
Forest Park 9.8
Fox Lake 10.2
Frankfort 4.2
Frankfort Square 3.3
Franklin Park 11.6
Freeport 21.1
Gages Lake 4.3
Galesburg 22.7
Geneseo 6.7
Geneva 4.2
Genoa 10.2
Gilberts 0.8
Glen Carbon 10.1
Glen Ellyn 6.1
Glencoe 4.1
Glendale Heights 11.7
Glenview 3.9
Glenwood 11.9
Godfrey 8.3
Grandwood Park 5.3
Granite City 19.0
Grayslake 4.9
Greenville 15.6
Gurnee 5.0
Hampshire 1.4
Hanover Park 13.2
Harrisburg 19.5
Harvard 32.8
Harvey 35.4
Harwood Heights 10.2
Hawthorn Woods 3.3
Hazel Crest 17.3
Herrin 15.2
Hickory Hills 16.6
Highland 10.4
Highland Park 7.5
Highwood 19.1
Hillsboro 9.0
Hillside 15.6
Hinsdale 3.5
Hoffman Estates 5.5
Homer Glen 2.3
Homewood 7.4
Hoopeston 18.3
Huntley 2.8
Inverness 0.4
Island Lake 7.0
Itasca 5.6
Jacksonville 18.0
Jerseyville 7.9
Johnsburg 5.4
Joliet 12.1
Justice 15.1
Kankakee 34.1
Kewanee 17.6
La Grange 5.9
La Grange Park 5.8
Lake Bluff 6.4
Lake Forest 5.1
Lake in the Hills 5.8
Lake Villa 3.6
Lake Zurich 5.2
Lakemoor 9.7
Lansing 12.2
LaSalle 15.2
Lemont 2.6
Libertyville 4.3
Lincoln 18.1
Lincolnshire 4.8
Lincolnwood 4.8
Lindenhurst 3.6
Lisle 6.6
Litchfield 20.6
Lockport 4.5
Lombard 6.3
Long Grove 2.3
Loves Park 11.3
Lynwood 24.3
Lyons 10.7
Machesney Park 10.4
Macomb 34.0
Mahomet 7.4
Manhattan 4.1
Manteno 5.6
Marengo 11.9
Marion 17.9
Markham 20.8
Marseilles 12.8
Maryville 5.6
Mascoutah 9.9
Matteson 11.7
Mattoon 19.0
Maywood 20.6
McHenry 9.4
Melrose Park 17.6
Mendota 15.2
Metropolis 23.5
Midlothian 12.0
Milan 15.2
Minooka 5.6
Mokena 3.0
Moline 9.9
Monee 4.0
Monmouth 23.7
Montgomery 6.8
Monticello 2.3
Morris 8.1
Morton 5.1
Morton Grove 6.9
Mount Carmel 15.0
Mount Prospect 5.9
Mount Vernon 23.9
Mount Zion 5.6
Mundelein 5.4
Murphysboro 28.1
Naperville 4.1
New Lenox 2.9
Niles 11.5
Normal 24.3
Norridge 9.5
North Aurora 6.0
North Chicago 23.6
North Riverside 9.3
Northbrook 3.8
Northfield 3.9
Northlake 11.1
Oak Brook 2.9
Oak Forest 6.4
Oak Lawn 9.1
Oak Park 8.6
O'Fallon 9.9
Olney 17.5
Orland Hills 7.9
Orland Park 5.2
Oswego 4.4
Ottawa 15.5
Palatine 9.6
Palos Heights 3.3
Palos Hills 9.4
Pana 28.6
Paris 25.1
Park City 16.0
Park Forest 18.6
Park Ridge 4.0
Pekin 14.1
Peoria 22.5
Peoria Heights 11.9
Peru 9.0
Pinckneyville 20.9
Plainfield 4.3
Plano 8.0
Pontiac 13.5
Pontoon Beach 20.6
Poplar Grove 16.1
Posen 13.7
Princeton 15.8
Prospect Heights 10.6
Quincy 17.6
Rantoul 27.2
Richton Park 12.4
River Forest 6.1
River Grove 15.0
Riverdale 23.2
Riverside 3.3
Robbins 29.7
Robinson 20.7
Rochelle 19.7
Rock Falls 19.7
Rock Island 20.2
Rockford 25.5
Rockton 4.4
Rolling Meadows 10.9
Romeoville 9.4
Roscoe 5.9
Roselle 4.1
Round Lake 7.3
Round Lake Beach 15.8
Round Lake Park 18.8
Salem 21.1
Sandwich 11.6
Sauk Village 25.0
Savoy 10.9
Schaumburg 6.1
Schiller Park 12.5
Shiloh 3.5
Shorewood 6.0
Silvis 11.4
Skokie 11.4
South Beloit 13.9
South Elgin 3.4
South Holland 7.9
Spring Grove 2.6
Spring Valley 11.1
Springfield 17.6
St. Charles 3.5
Staunton 13.6
Steger 17.5
Sterling 16.4
Stickney 6.9
Streamwood 4.1
Streator 18.1
Sugar Grove 1.0
Summit 18.1
Swansea 8.3
Sycamore 9.0
Taylorville 12.8
Tinley Park 6.2
Troy 8.6
University Park 21.0
Urbana 35.8
Vandalia 15.7
Vernon Hills 3.0
Villa Park 8.6
Warrenville 8.6
Washington 6.6
Waterloo 3.7
Watseka 16.7
Wauconda 5.2
Waukegan 19.2
West Chicago 15.3
West Dundee 8.0
West Frankfort 25.2
Westchester 5.7
Western Springs 1.6
Westmont 8.7
Wheaton 6.8
Wheeling 10.7
Willow Springs 4.3
Willowbrook 5.9
Wilmette 3.0
Wilmington 10.0
Winfield 5.2
Winnetka 2.2
Winthrop Harbor 7.1
Wood Dale 10.6
Wood River 17.0
Woodridge 4.7
Woodstock 13.6
Worth 12.3
Yorkville 2.5
Zion 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

Definitions:

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: