Payday Loans

The Payday Loans indicator measures the number of payday loans per 1,000 residents within one mile of a neighborhood. Access to credit is imperative to financial health and stability. However, many low-income neighborhoods lack access to traditional banking institutions and other financial services that provide access to capital. In many disadvantaged neighborhoods, the payday lending market has grown rapidly to fill the void in access to capital. Payday lending institutions provide loans, for relatively small amounts, typically a few hundred to a few thousand dollars, at high interest rates. Studies show that higher access to payday loans contributes to economic hardship, as borrowers face difficulty in paying important bills such as their mortgage/rent and utility bills. Furthermore, even modest to high-income households, who live in neighborhoods with a high density of payday lenders- are more likely to utilize payday loans. However, those same neighborhood characteristics are associated with chronic utilization among low-income individuals. Payday loan services are essentially a response to low-income residents and other high-risk borrowers who are locked out of the traditional credit market, and while these alternative financial services provide a need, savvy state and municipal polices are pertinent to alleviate the burden of financial distress that often is amplified under the context of exorbitant interest rates and fees. Data for the Payday Loans indicator is available from InfoGroup, Inc.

Neighborhood Indicator Value Ranksort descending
Evergreen 0 1
Hillman Park 0 1
Sherman Heights 0 1
West Goldwire 0 1
Fairmont 0 1
Oak Ridge 0 1
Smithfield 0 1
Industrial Center 0 1
Airport Highlands 0 1
Wylam 0 1
Forest Park 0 1
South Pratt 0 1
Apple Valley 0 1
Fountain Heights 0 1
Druid Hills 0 1
Garden Highlands 0 1
Penfield Park 0 1
East Avondale 0 1
Pine Knoll Vista 0 1
Southside 0 1
Powderly 0 1
East Brownville 0 1
Maple Grove 0 1
Sun Valley 0 1
Brownsville Heights 0 1
Grasselli Heights 0 1
Tarpley City 0 1
Brummitt Heights 0 1
North Avondale 0 1
North Birmingham 0 1
Central City 0 1
Echo Highlands 0 1
Enon Ridge 0 1
West Brownville 0 1
Five Points South 0.2 35
Oxmoor 0.2 35
Glen Iris 0.2 35
Highland Park 0.2 35
Woodlawn 0.3 39
Inglenook 0.3 39
West End Manor 0.3 39
Norwood 0.4 42
Collegeville 0.4 42
Kingston 0.4 42
Redmont Park 0.4 42
East Lake 0.4 42
North East Lake 0.6 47
Ensley Highlands 0.6 47
Crestwood South 0.7 49
Overton 0.7 49
South Titusville 0.7 49
Graymont 0.7 49
Wahouma 0.7 49
Central Pratt 0.7 49
North Titusville 0.7 49
Crestline 0.8 56
Crestwood North 0.8 56
South East Lake 0.8 56
Killough Springs 0.8 56
Spring Lake 0.9 60
Central Park 1 61
Arlington - West End 1.1 62
Mason City 1.1 62
Roebuck Springs 1.1 62
Ensley 1.1 62
Jones Valley 1.2 66
Belview Heights 1.2 66
Germania Park 1.2 66
Bush Hills 1.2 66
Eastwood 1.2 66
Green Acres 1.2 66
College Hills 1.2 66
Roebuck 1.3 73
Roosevelt 1.3 73
Huffman 1.4 75
Gate City 1.5 76
South Woodlawn 1.6 77
Fairview 1.7 78
Oak Ridge Park 1.7 78
Oakwood Place 1.9 80
Bridlewood 1.9 80
East Thomas 2 82
North Pratt 2 82
Woodland Park 2.1 84
Acipco-Finley 2.2 85
Dolomite 2.2 85
Smithfield Estates 2.5 87
Harriman Park 2.8 88
Hooper City 3 89
Riley 3.1 90
Thomas 3.1 90
Tuxedo 3.3 92
East Birmingham 4.4 93
Liberty Highlands 4.4 93
Sandusky 5 95
Rising - West Princeton 5.1 96
Hillman 5.6 97
Brown Springs 5.7 98
Zion City 6.3 99

Key Citations:
1. Gallmeyer, Alice and Wade T. Roberts. 2009. “Payday Lenders and Economically Distressed Communities: A Spatial Analysis of Financial Predation.” The Social Science Journal 46(3):521–38.
2. Melzer, Brian T. 2011. “The Real Costs of Credit Access: Evidence from the Payday Lending Market.” The Quarterly Journal of Economics 126(1):517–55.
3. Friedline, Terri and Nancy Kepple. 2017. “Does Community Access to Alternative Financial Services Relate to Individuals’ Use of These Services? Beyond Individual Explanations.” Journal of Consumer Policy 40(1):51–79.
4. McGray, Douglas. 2008. “Check Cashers, Redeemed.” New York Times Magazine.