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
Central City 0 1
Echo Highlands 0 1
North Birmingham 0 1
Enon Ridge 0 1
West Brownville 0 1
Sherman Heights 0 1
West Goldwire 0 1
Evergreen 0 1
Hillman Park 0 1
Smithfield 0 1
Fairmont 0 1
Oak Ridge 0 1
Airport Highlands 0 1
Wylam 0 1
Industrial Center 0 1
South Pratt 0 1
Apple Valley 0 1
Forest Park 0 1
Druid Hills 0 1
Fountain Heights 0 1
East Avondale 0 1
Garden Highlands 0 1
Penfield Park 0 1
Southside 0 1
Pine Knoll Vista 0 1
Powderly 0 1
East Brownville 0 1
Sun Valley 0 1
Brownsville Heights 0 1
Maple Grove 0 1
Tarpley City 0 1
Brummitt Heights 0 1
Grasselli Heights 0 1
North Avondale 0 1
Highland Park 0.2 35
Five Points South 0.2 35
Oxmoor 0.2 35
Glen Iris 0.2 35
West End Manor 0.3 39
Woodlawn 0.3 39
Inglenook 0.3 39
Collegeville 0.4 42
Norwood 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
Wahouma 0.7 49
Central Pratt 0.7 49
North Titusville 0.7 49
Crestwood South 0.7 49
Overton 0.7 49
South Titusville 0.7 49
Graymont 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
Roebuck Springs 1.1 62
Ensley 1.1 62
Arlington - West End 1.1 62
Mason City 1.1 62
Green Acres 1.2 66
College Hills 1.2 66
Jones Valley 1.2 66
Belview Heights 1.2 66
Germania Park 1.2 66
Bush Hills 1.2 66
Eastwood 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
North Pratt 2 82
East Thomas 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.