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

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.