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.

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

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.