Public Assisted Households

The HCAT Public Assisted Households indicator calculates the proportion of neighborhood households that rely on Supplemental Security Income (SSI), cash public assistance, and/or Food stamps/ Supplemental Nutrition Assistance Program (SNAP) benefits to support their income. Income is one of the strongest and most consistent predictors of health and disease in public health research. Studies show that households not earning a self-sufficiency wage may be subject to increases in premature death from all causes for working adults, lower educational outcomes, and higher risks of early childbirth. Self-sufficiency is determined as having an income high enough to meet basic needs (including taxes) without public subsidies such as public housing, food stamps, Medicaid or child care) or private/informal assistance (e.g., free babysitting by a relative or friend, food provided by churches or local food banks, or shared housing). The higher the number of neighborhood households dependent on public assistance, the lower the likelihood household incomes reach a self-sufficient standard (for more information about Self-Sufficient Standards, please go to the Center for Women’s Welfare . Center for Women’s Welfare). Although posted under the Employment Opportunities domain, the Public Assisted Households indicator is also strongly tied to education, economic health, neighborhood characteristics, and housing.

Neighborhood Indicator Value Ranksort ascending
Hawthorne 100.0% 87
Phillips West 83.4% 85
Sumner - Glenwood (Heritage Park) 83.4% 85
Jordan 80.9% 84
Near - North 78.1% 83
East Phillips 76.9% 82
Ventura Village 76.2% 81
Harrison 74.1% 80
Cedar Riverside 69.4% 79
Webber - Camden 68.4% 78
Folwell 59.7% 76
McKinley 59.7% 76
Willard - Hay 55.3% 75
Elliot Park 52.1% 74
Lyndale 50.9% 73
Seward 46.7% 72
Steven's Square - Loring Heights 41.3% 71
Midtown Phillips 41.0% 70
St. Anthony East 40.6% 69
Logan Park 40.0% 68
Central 39.0% 67
Bryant 38.6% 66
Shingle Creek 38.3% 65
Lind - Bohanon 33.9% 64
Corcoran 33.2% 63
Bottineau 32.6% 62
Holland 32.4% 61
Powderhorn Park 32.2% 60
Loring Park 31.4% 59
Victory 31.2% 58
Cleveland 27.9% 57
Beltrami 27.8% 55
Northeast Park 27.8% 55
Whittier 27.3% 54
Longfellow 25.6% 53
Bancroft 25.4% 52
Windom Park 25.3% 51
Marshall Terrace 25.0% 50
Sheridan 22.9% 49
St. Anthony West 22.0% 48
Standish 21.7% 47
University of Minnesota 21.1% 46
Downtown West 19.7% 45
Wenonah 19.4% 44
Columbia Park 17.9% 43
Regina 17.8% 41
Morris Park 17.8% 41
Prospect Park - East River Road 16.7% 40
Howe 16.4% 39
Ericsson 14.0% 37
Lowry Hill East 14.0% 37
King Field 13.1% 36
Marcy Holmes 13.0% 35
Downtown East 12.9% 34
Northrop 12.4% 33
Como 12.3% 31
Mid - City Industrial 12.3% 31
Audubon Park 11.8% 30
West Calhoun 11.0% 29
Keewaydin 10.9% 28
Windom 10.8% 27
Cooper 10.0% 26
Tangletown 9.5% 25
Field 9.0% 23
Nicollet Island - East Bank 9.0% 23
Hiawatha 8.8% 21
Waite Park 8.8% 21
Lynnhurst 8.3% 20
Diamond Lake 7.3% 19
Linden Hills 6.8% 18
Hale 6.4% 17
East Harriet 6.0% 16
Lowry Hill 5.8% 15
Calhoun Area Residents Action Group (CARAG) 5.5% 14
Fulton 5.3% 13
Minnehaha 4.7% 12
Armatage 4.4% 10
Kenny 4.4% 10
East Calhoun (ECCO) 4.3% 9
Bryn - Mawr 3.0% 7
East Isles 3.0% 7
North Loop 2.8% 6
Page 1.6% 5
Kenwood 0.7% 3
Cedar - Isles - Dean 0.7% 3
Humboldt Industrial Area 0.0% 1
Camden Industrial 0.0% 1

Key Citations: 1. Braveman, Paula, et al. “Issue Brief #4 Exploring the Social Determinants of Health – April 2011; Income, Wealth and Health” (2011). Robert Wood Johnson Foundation.

 

2. Bhatia, Rajiv and Mitchell Katz. “Estimation of Health Benefits from a Local Living Wage Ordinance” (2001). American Journal of Public Health.

 

3. Pickett, K.E. and M. Pearl. “Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review” (2001). Journal of Epidemiology and Community Health.

 

4. Pollack, C.E., et al. “Should Health Studies Measure Wealth?” (2007). American Journal of Preventive Medicine.

 

5. Subramanian, S.V. and Ichiro Kawachi. “Income Inequality and Health: What Have We Learned So Far?” (2004). Epidemiologic Reviews, Johns Hopkins Bloomberg School of Public Health.