Michigan Poverty Rate by City

Data Item State
Persons in poverty, percent - (Percent)
City Value
Adrian 23.1
Albion 28.6
Allen Park 7.8
Allendale 26.1
Alma 29.5
Alpena 21.5
Ann Arbor 22.6
Auburn Hills 12.0
Battle Creek 22.3
Bay City 24.2
Beecher 38.4
Belding 16.4
Benton Harbor 46.9
Berkley 4.7
Beverly Hills 1.5
Big Rapids 40.3
Birmingham 5.2
Bridgeport 24.2
Brighton 7.8
Buena Vista 31.9
Burton 20.2
Byron Center 6.3
Cadillac 23.0
Center Line 12.3
Charlotte 15.5
Clawson 7.2
Coldwater 14.9
Comstock Northwest 12.4
Comstock Park 13.8
Cutlerville 14.5
Dearborn 28.3
Dearborn Heights 19.2
Detroit 36.4
Dowagiac 35.3
East Grand Rapids 2.1
East Lansing 41.3
Eastpointe 17.4
Eastwood 16.8
Eaton Rapids 19.8
Ecorse 33.0
Escanaba 18.6
Fair Plain 17.8
Farmington 7.8
Farmington Hills 6.9
Fenton 13.2
Ferndale 11.7
Flat Rock 12.8
Flint 40.4
Flushing 14.4
Forest Hills 3.1
Fraser 11.1
Freeland 2.7
Garden City 10.3
Grand Blanc 13.4
Grand Haven 9.3
Grand Ledge 10.5
Grand Rapids 21.2
Grandville 7.6
Greenville 22.9
Grosse Pointe 2.9
Grosse Pointe Farms 2.8
Grosse Pointe Park 4.5
Grosse Pointe Woods 4.5
Hamtramck 49.1
Harper Woods 14.5
Haslett 9.4
Hastings 16.0
Hazel Park 24.5
Highland Park 45.9
Hillsdale 24.1
Holland 13.2
Holly 16.1
Holt 10.2
Houghton 43.6
Howell 14.1
Hudsonville 5.3
Huntington Woods 2.2
Inkster 32.9
Ionia 24.8
Iron Mountain 13.9
Ishpeming 16.9
Jackson 30.0
Jenison 4.7
Kalamazoo 30.4
Kentwood 12.2
Lake Fenton 4.1
Lambertville 9.3
Lansing 26.1
Lapeer 23.6
Lincoln Park 20.1
Livonia 5.5
Ludington 17.0
Madison Heights 17.4
Manistee 15.2
Marquette 26.5
Marshall 13.0
Marysville 9.0
Mason 7.0
Melvindale 28.2
Menominee 17.4
Midland 11.4
Milan 4.2
Milford 5.9
Monroe 18.6
Mount Clemens 21.6
Mount Pleasant 35.0
Muskegon 31.8
Muskegon Heights 37.9
New Baltimore 6.2
Niles 30.0
Northview 11.8
Northville 4.6
Norton Shores 11.7
Novi 5.1
Oak Park 14.2
Okemos 14.5
Owosso 19.4
Petoskey 10.4
Plymouth 4.4
Pontiac 31.9
Port Huron 26.5
Portage 8.5
Richmond 10.1
River Rouge 40.1
Riverview 8.2
Rochester 6.5
Rochester Hills 4.9
Rockford 14.6
Romulus 18.4
Roseville 16.8
Royal Oak 7.0
Saginaw 34.5
Saline 4.2
Sault Ste. Marie 24.7
Shields 9.8
South Lyon 4.8
South Monroe 17.8
Southfield 11.3
Southgate 11.3
Springfield 22.2
St. Clair 13.2
St. Clair Shores 8.3
St. Johns 13.7
St. Joseph 7.7
St. Louis 15.6
Sterling Heights 11.2
Sturgis 26.7
Swartz Creek 4.2
Taylor 18.1
Tecumseh 9.1
Temperance 5.1
Three Rivers 22.3
Traverse City 12.2
Trenton 5.8
Troy 4.6
Walker 8.8
Walled Lake 8.4
Warren 19.8
Waverly 8.9
Wayne 24.3
Westland 15.0
Westwood 20.4
Whitmore Lake 6.9
Wixom 9.0
Woodhaven 4.9
Wyandotte 11.7
Wyoming 13.5
Ypsilanti 32.2
Zeeland 9.3

Data item: Persons in poverty, percent

QuickFacts uses data from the following sources: National level - Current Population Survey, Annual Social and Economic Supplement (CPS ASEC); State level - American Community Survey (ACS), one-year estimates; County level - The Small Area Income and Poverty Estimates (SAIPE), one-year estimates; Sub-county level: Cities, towns and census designated places; - ACS, five-year estimates; Puerto Rico and its municipios (county-equivalents for Puerto Rico) and its sub-counties (zonas urbanas and comunidades); Puerto Rico Community Survey (PRCS), five-year estimates.

All of these data sources provide estimates at geographic levels other than the ones listed. Below is a chart which provides a summary of the data source recommendations by geographic level. Included in this chart is the Survey of Income and Program Participation (SIPP), a longitudinal survey (changes in poverty status for the same household over time). Which Data Source to Use

How the Census Bureau measures poverty: The Census Bureau poverty definition - Following the Office of Management and Budget's (OMB) Statistical Policy Directive 14, the Census Bureau uses a set of money income thresholds that vary by family size and composition to determine who is in poverty. If a family's total income is less than the family's threshold, then that family and every individual in it is considered in poverty. The official poverty thresholds do not vary geographically, but they are updated for inflation using Consumer Price Index (CPI-U). The official poverty definition uses money income before taxes and does not include capital gains or noncash benefits (such as public housing, Medicaid, and food stamps). For more information: How the Census Bureau Measures Poverty

For differences between the Annual Social and Economic Supplement to the Current Population Survey poverty estimates and the American Community Survey poverty estimates, see: Fact Sheet - Differences Between CPS ASEC and ACS

Data at a national level - Current Population Survey Annual Social and Economic Supplement (CPS ASEC).

The Annual Social and Economic Supplement to the Current Population Survey (CPS ASEC) provides annual, calendar-year, national estimates of income and official poverty numbers and rates. Census Bureau conducts the ASEC over a 3 month period, in February, March, and April, with most data collection occurring in the month of March. The CPS, sponsored jointly by the Census Bureau and the U.S. Bureau of Labor Statistics, is the country's primary source of labor force statistics for the civilian, non-institutional population.

Income and Poverty in the United States
The Supplemental Poverty Measure
Health Insurance Coverage in the United States
Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage

Data at a state level - American Community Survey (ACS), Puerto Rico Community Survey (PRCS), one-year estimates.

The ACS is a nationwide survey designed to provide communities with reliable and timely demographic, social, economic and housing estimates every year. The ACS provides a wide range of important statistics about people and housing for every community across the United States and Puerto Rico, of which this Fact is one. These surveys are the only source of local estimates for most of the 40 topics it covers such as education, occupation, language, ancestry, and housing costs, and provides information for even the smallest communities. Estimates are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. One-year estimates include information collected from independent monthly samples from the previous 12 months.

Data and Documentation, Accuracy of data
Methodology

Data at a county level - Small Area Income and Poverty Estimates (SAIPE)

The U.S. Census Bureau's SAIPE program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

These estimates combine data from administrative records, postcensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates.

Small Area Income and Poverty Estimates main page
Frequently asked questions
Methodology

Data at a Sub-county level - American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), five-year estimates.

The ACS and PRCS produce estimates for numerous social, economic and housing characteristics including language, education, the commute to work, employment, mortgage status and rent, as well as income, poverty and health insurance. A multi-year estimate is simply a period estimate that encompasses more than one calendar year. While a one-year estimate includes information collected from independent monthly samples from the previous 12 months, a five-year estimate includes information collected over a 60-month period. These estimates are available for all areas regardless of population size, down to the block group.

Data and Documentation, Accuracy of data
Methodology