Posted by: Richie Bernardo
Las Vegas isn’t the only sinful place in America. In other cities, bad things happen and stay there, too. From beer-loving Milwaukee to hedonistic New Orleans, the U.S. is filled with people behaving badly. No place is innocent. We all have demons. But luckily for the saints among us, all American vices are not created — or distributed — equally.
So in order to identify the darkest corners of America, WalletHub’s data crunchers compared the 150 most populated U.S. cities across 27 key indicators of evil deeds. Our data set ranges from “violent crimes per capita” to “excessive drinking” to “potential cheaters.” Scroll down to see the baddest of the bad cities, expert recommendations for overcoming humanity’s devilish nature and a full description of how we ranked the cities.
Main FindingsEmbed on your website<iframe src="//d2e70e9yced57e.cloudfront.net/wallethub/embed/29846/geochart.html" width="556" height="347" frameBorder="0" scrolling="no"></iframe> <div style="width:556px;font-size:12px;color:#888;">Source: <a href="http://ift.tt/2k6dZs1;
Most Sinful Cities in America|
Overall Rank |
City |
WalletHub Vice Index |
‘Anger & Hatred’ Rank |
‘Jealousy’ Rank |
‘Excesses & Vices’ Rank |
‘Avarice’ Rank |
‘Lust’ Rank |
‘Vanity’ Rank |
‘Laziness’ Rank |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Las Vegas, NV | 62.64 | 42 | 51 | 43 | 2 | 2 | 5 | 20 |
| 2 | St. Louis, MO | 59.00 | 2 | 2 | 1 | 42 | 115 | 12 | 45 |
| 3 | Cincinnati, OH | 57.03 | 19 | 45 | 6 | 16 | 7 | 14 | 41 |
| 4 | Orlando, FL | 56.69 | 50 | 5 | 79 | 141 | 1 | 4 | 19 |
| 5 | Springfield, MO | 54.81 | 5 | 10 | 28 | 131 | 6 | 19 | 44 |
| 6 | Miami, FL | 52.76 | 87 | 3 | 135 | 96 | 3 | 13 | 33 |
| 7 | Richmond, VA | 52.68 | 128 | 42 | 9 | 79 | 4 | 3 | 68 |
| 8 | Baton Rouge, LA | 52.60 | 14 | 88 | 20 | 21 | 55 | 22 | 1 |
| 9 | Pittsburgh, PA | 52.09 | 61 | 105 | 10 | 18 | 24 | 6 | 63 |
| 10 | New Orleans, LA | 51.92 | 27 | 81 | 2 | 10 | 38 | 71 | 7 |
| 11 | Cleveland, OH | 51.84 | 13 | 8 | 17 | 24 | 18 | 55 | 37 |
| 12 | Tampa, FL | 51.33 | 98 | 30 | 41 | 84 | 5 | 9 | 39 |
| 13 | Knoxville, TN | 50.75 | 38 | 52 | 25 | 114 | 28 | 8 | 21 |
| 14 | Reno, NV | 50.67 | 43 | 92 | 31 | 1 | 45 | 27 | 57 |
| 15 | Scottsdale, AZ | 50.30 | 134 | 86 | 112 | 34 | 29 | 1 | 103 |
| 16 | North Las Vegas, NV | 49.66 | 46 | 67 | 43 | 2 | 112 | 35 | 18 |
| 17 | Akron, OH | 49.64 | 23 | 63 | 22 | 26 | 34 | 29 | 25 |
| 18 | Toledo, OH | 49.19 | 26 | 80 | 5 | 20 | 32 | 100 | 5 |
| 19 | Tacoma, WA | 49.12 | 30 | 21 | 23 | 13 | 49 | 32 | 115 |
| 20 | Shreveport, LA | 48.86 | 12 | 66 | 12 | 55 | 69 | 49 | 3 |
| 21 | Jackson, MS | 48.29 | 47 | 41 | 66 | 14 | 16 | 88 | 9 |
| 22 | Detroit, MI | 48.19 | 1 | 28 | 13 | 50 | 97 | 147 | 32 |
| 23 | Spokane, WA | 48.14 | 53 | 15 | 36 | 15 | 70 | 23 | 126 |
| 24 | Salt Lake City, UT | 47.40 | 3 | 14 | 115 | 147 | 114 | 2 | 145 |
| 25 | Little Rock, AR | 47.00 | 15 | 23 | 33 | 128 | 54 | 43 | 29 |
| 26 | Mobile, AL | 46.92 | 77 | 90 | 15 | 120 | 67 | 16 | 4 |
| 27 | Grand Rapids, MI | 46.91 | 6 | 146 | 34 | 105 | 31 | 18 | 83 |
| 28 | Philadelphia, PA | 46.87 | 62 | 62 | 3 | 49 | 13 | 135 | 30 |
| 29 | Baltimore, MD | 46.74 | 24 | 7 | 4 | 87 | 51 | 132 | 50 |
| 30 | Henderson, NV | 46.65 | 89 | 82 | 43 | 2 | 75 | 56 | 38 |
| 31 | Birmingham, AL | 46.42 | 35 | 24 | 37 | 133 | 144 | 11 | 28 |
| 32 | Fayetteville, NC | 46.19 | 88 | 50 | 24 | 123 | 20 | 39 | 22 |
| 33 | Atlanta, GA | 45.89 | 76 | 9 | 113 | 134 | 73 | 7 | 54 |
| 34 | Fort Lauderdale, FL | 45.85 | 65 | 1 | 125 | 138 | 139 | 10 | 10 |
| 35 | Portland, OR | 45.37 | 66 | 22 | 77 | 25 | 25 | 37 | 114 |
| 36 | Buffalo, NY | 45.27 | 51 | 83 | 75 | 70 | 15 | 58 | 26 |
| 37 | Chattanooga, TN | 45.22 | 54 | 36 | 55 | 137 | 88 | 24 | 27 |
| 38 | Sacramento, CA | 44.98 | 36 | 65 | 108 | 47 | 27 | 25 | 118 |
| 39 | Rochester, NY | 44.60 | 92 | 103 | 72 | 97 | 11 | 21 | 65 |
| 40 | Kansas City, MO | 44.52 | 7 | 40 | 40 | 80 | 40 | 117 | 107 |
| 41 | Tallahassee, FL | 44.44 | 57 | 13 | 46 | 146 | 63 | 31 | 36 |
| 42 | Anchorage, AK | 44.35 | 4 | 87 | 14 | 64 | 111 | 90 | 134 |
| 43 | St. Paul, MN | 44.31 | 45 | 107 | 58 | 11 | 36 | 45 | 127 |
| 44 | St. Petersburg, FL | 44.13 | 20 | 4 | 27 | 139 | 143 | 57 | 23 |
| 45 | Louisville, KY | 43.85 | 31 | 89 | 8 | 101 | 136 | 51 | 24 |
| 46 | Vancouver, WA | 43.70 | 71 | 72 | 53 | 66 | 146 | 15 | 130 |
| 47 | Huntsville, AL | 43.59 | 72 | 71 | 73 | 102 | 47 | 36 | 6 |
| 48 | Houston, TX | 43.34 | 44 | 39 | 123 | 71 | 9 | 74 | 84 |
| 49 | Denver, CO | 43.33 | 74 | 54 | 52 | 41 | 19 | 62 | 140 |
| 50 | Tucson, AZ | 43.25 | 37 | 20 | 86 | 112 | 58 | 53 | 56 |
| 51 | Augusta, GA | 43.19 | 69 | 48 | 29 | 143 | 41 | 69 | 14 |
| 52 | Tulsa, OK | 43.15 | 25 | 37 | 38 | 126 | 82 | 70 | 49 |
| 53 | Nashville, TN | 42.96 | 9 | 61 | 18 | 127 | 107 | 95 | 42 |
| 54 | Tempe, AZ | 42.92 | 104 | 34 | 90 | 61 | 57 | 42 | 43 |
| 55 | Indianapolis, IN | 42.85 | 18 | 59 | 7 | 140 | 65 | 87 | 67 |
| 56 | Wichita, KS | 42.79 | 21 | 85 | 54 | 76 | 66 | 77 | 75 |
| 57 | Providence, RI | 42.78 | 122 | 126 | 83 | 8 | 46 | 78 | 12 |
| 58 | Columbus, OH | 42.65 | 59 | 56 | 42 | 35 | 74 | 101 | 51 |
| 59 | Bakersfield, CA | 42.64 | 48 | 106 | 21 | 94 | 48 | 50 | 59 |
| 60 | Minneapolis, MN | 42.60 | 90 | 76 | 82 | 9 | 134 | 28 | 110 |
| 60 | Amarillo, TX | 42.60 | 16 | 118 | 71 | 129 | 44 | 64 | 53 |
| 62 | Madison, WI | 42.14 | 41 | 119 | 48 | 48 | 30 | 40 | 141 |
| 63 | Oklahoma City, OK | 41.75 | 34 | 84 | 35 | 132 | 68 | 83 | 34 |
| 64 | Milwaukee, WI | 41.68 | 8 | 27 | 76 | 122 | 116 | 102 | 109 |
| 65 | Glendale, AZ | 41.68 | 91 | 25 | 90 | 83 | 33 | 85 | 60 |
| 66 | Albuquerque, NM | 41.61 | 22 | 26 | 63 | 108 | 90 | 91 | 108 |
| 67 | Austin, TX | 41.51 | 86 | 60 | 106 | 57 | 12 | 46 | 143 |
| 68 | Memphis, TN | 41.28 | 33 | 16 | 50 | 148 | 84 | 127 | 16 |
| 69 | Sioux Falls, SD | 41.24 | 11 | 144 | 69 | 17 | 128 | 54 | 136 |
| 70 | Jacksonville, FL | 41.17 | 63 | 18 | 19 | 149 | 59 | 98 | 40 |
| 71 | Newport News, VA | 41.13 | 95 | 95 | 16 | 36 | 87 | 75 | 73 |
| 72 | Omaha, NE | 41.10 | 29 | 100 | 32 | 72 | 83 | 59 | 132 |
| 73 | Norfolk, VA | 41.00 | 83 | 75 | 11 | 36 | 53 | 115 | 102 |
| 74 | Arlington, TX | 40.83 | 81 | 38 | 97 | 58 | 26 | 105 | 86 |
| 75 | Worcester, MA | 40.50 | 107 | 129 | 107 | 5 | 85 | 61 | 61 |
| 76 | Seattle, WA | 40.40 | 94 | 29 | 139 | 56 | 8 | 68 | 138 |
| 77 | Phoenix, AZ | 40.23 | 60 | 53 | 90 | 121 | 14 | 128 | 77 |
| 78 | Stockton, CA | 39.95 | 32 | 74 | 68 | 51 | 109 | 126 | 95 |
| 79 | Lexington-Fayette, KY | 39.92 | 49 | 136 | 26 | 142 | 35 | 48 | 69 |
| 80 | Newark, NJ | 39.74 | 100 | 43 | 130 | 6 | 61 | 148 | 13 |
| 81 | Modesto, CA | 39.62 | 79 | 94 | 60 | 40 | 86 | 52 | 125 |
| 82 | Lubbock, TX | 39.60 | 28 | 69 | 57 | 136 | 72 | 97 | 70 |
| 83 | Lincoln, NE | 39.31 | 17 | 143 | 47 | 98 | 99 | 84 | 111 |
| 84 | San Bernardino, CA | 39.22 | 39 | 58 | 101 | 43 | 108 | 138 | 66 |
| 85 | Montgomery, AL | 39.10 | 116 | 33 | 62 | 145 | 64 | 86 | 2 |
| 86 | Riverside, CA | 38.90 | 112 | 108 | 84 | 43 | 77 | 66 | 71 |
| 87 | Boise, ID | 38.73 | 10 | 121 | 89 | 107 | 100 | 47 | 150 |
| 88 | San Francisco, CA | 38.71 | 105 | 19 | 145 | 81 | 17 | 26 | 149 |
| 89 | Dallas, TX | 38.62 | 56 | 32 | 120 | 117 | 39 | 80 | 116 |
| 90 | Overland Park, KS | 38.54 | 78 | 114 | 114 | 22 | 118 | 62 | 93 |
| 91 | Raleigh, NC | 38.47 | 101 | 44 | 104 | 100 | 98 | 67 | 48 |
| 92 | Fresno, CA | 38.19 | 68 | 93 | 96 | 93 | 37 | 108 | 92 |
| 93 | Chicago, IL | 38.10 | 75 | 97 | 122 | 73 | 23 | 112 | 98 |
| 94 | Port St. Lucie, FL | 38.04 | 92 | 70 | 49 | 130 | 123 | 109 | 15 |
| 95 | Virginia Beach, VA | 38.01 | 117 | 122 | 59 | 36 | 106 | 65 | 101 |
| 96 | Colorado Springs, CO | 37.85 | 40 | 55 | 99 | 88 | 80 | 81 | 146 |
| 97 | Pembroke Pines, FL | 37.85 | 146 | 12 | 117 | 113 | 149 | 94 | 8 |
| 98 | Peoria, AZ | 37.84 | 120 | 96 | 74 | 111 | 101 | 104 | 74 |
| 99 | Mesa, AZ | 37.82 | 85 | 78 | 90 | 61 | 103 | 120 | 62 |
| 100 | Aurora, CO | 37.80 | 64 | 73 | 100 | 54 | 56 | 134 | 122 |
| 101 | Charlotte, NC | 37.57 | 108 | 49 | 110 | 106 | 78 | 73 | 85 |
| 102 | Des Moines, IA | 37.39 | 97 | 130 | 30 | 60 | 96 | 99 | 123 |
| 103 | San Diego, CA | 37.35 | 115 | 125 | 129 | 78 | 10 | 38 | 148 |
| 104 | Cape Coral, FL | 37.25 | 80 | 98 | 65 | 135 | 102 | 123 | 31 |
| 105 | Fort Worth, TX | 37.23 | 70 | 35 | 80 | 124 | 94 | 119 | 100 |
| 106 | Winston-Salem, NC | 37.17 | 84 | 46 | 67 | 77 | 142 | 92 | 46 |
| 107 | Columbus, GA | 37.13 | 82 | 31 | 56 | 150 | 122 | 96 | 52 |
| 108 | Honolulu, HI | 37.09 | 130 | 147 | 128 | 52 | 43 | 33 | 81 |
| 109 | Boston, MA | 36.95 | 147 | 127 | 132 | 12 | 22 | 106 | 55 |
| 110 | Chandler, AZ | 36.81 | 132 | 91 | 90 | 85 | 81 | 89 | 88 |
| 111 | Corpus Christi, TX | 36.77 | 52 | 142 | 51 | 67 | 60 | 141 | 129 |
| 112 | Greensboro, NC | 36.58 | 113 | 110 | 78 | 109 | 105 | 93 | 58 |
| 113 | Santa Rosa, CA | 36.55 | 58 | 124 | 124 | 63 | 148 | 20 | 147 |
| 114 | Oakland, CA | 36.42 | 55 | 17 | 142 | 75 | 125 | 79 | 121 |
| 115 | Gilbert, AZ | 36.31 | 140 | 112 | 90 | 118 | 79 | 72 | 77 |
| 116 | Fort Wayne, IN | 36.23 | 73 | 140 | 39 | 144 | 92 | 44 | 96 |
| 117 | Durham, NC | 36.14 | 99 | 101 | 109 | 33 | 124 | 107 | 76 |
| 118 | Chesapeake, VA | 35.90 | 103 | 111 | 64 | 36 | 130 | 110 | 113 |
| 119 | Washington, DC | 35.78 | 142 | 6 | 119 | 82 | 113 | 116 | 120 |
| 120 | San Antonio, TX | 35.51 | 67 | 64 | 81 | 89 | 137 | 124 | 106 |
| 121 | Rancho Cucamonga, CA | 35.48 | 145 | 133 | 101 | 92 | 95 | 41 | 87 |
| 122 | Garland, TX | 35.37 | 106 | 47 | 98 | 116 | 131 | 129 | 97 |
| 123 | Fontana, CA | 35.08 | 125 | 134 | 101 | 43 | 110 | 142 | 82 |
| 124 | Grand Prairie, TX | 34.88 | 119 | 68 | 87 | 58 | 104 | 146 | 99 |
| 125 | Moreno Valley, CA | 34.86 | 127 | 109 | 84 | 95 | 129 | 130 | 71 |
| 126 | Ontario, CA | 34.66 | 131 | 116 | 111 | 43 | 93 | 136 | 91 |
| 127 | El Paso, TX | 34.66 | 96 | 150 | 88 | 69 | 52 | 144 | 64 |
| 128 | Hialeah, FL | 34.50 | 148 | 11 | 136 | 125 | 117 | 137 | 17 |
| 129 | Laredo, TX | 34.48 | 126 | 148 | 70 | 23 | 50 | 150 | 105 |
| 130 | Jersey City, NJ | 34.00 | 121 | 139 | 141 | 6 | 120 | 145 | 35 |
| 131 | New York, NY | 33.88 | 135 | 141 | 143 | 110 | 42 | 113 | 11 |
| 132 | Oxnard, CA | 33.82 | 109 | 77 | 118 | 68 | 126 | 122 | 131 |
| 133 | Huntington Beach, CA | 33.74 | 136 | 120 | 137 | 86 | 147 | 17 | 133 |
| 134 | Long Beach, CA | 33.62 | 110 | 99 | 140 | 90 | 91 | 76 | 94 |
| 135 | Oceanside, CA | 33.55 | 114 | 113 | 116 | 74 | 76 | 111 | 144 |
| 136 | Plano, TX | 33.42 | 141 | 79 | 134 | 119 | 121 | 30 | 128 |
| 137 | Los Angeles, CA | 33.29 | 123 | 117 | 146 | 103 | 21 | 114 | 89 |
| 138 | Irving, TX | 33.27 | 137 | 57 | 127 | 115 | 62 | 131 | 117 |
| 139 | Aurora, IL | 32.89 | 118 | 134 | 61 | 53 | 150 | 143 | 80 |
| 140 | Anaheim, CA | 32.35 | 111 | 104 | 131 | 27 | 119 | 133 | 124 |
| 141 | Santa Clarita, CA | 32.18 | 150 | 138 | 126 | 27 | 138 | 82 | 104 |
| 142 | Glendale, CA | 31.39 | 149 | 131 | 148 | 27 | 145 | 34 | 79 |
| 143 | Irvine, CA | 31.25 | 143 | 137 | 144 | 27 | 89 | 60 | 137 |
| 144 | Santa Ana, CA | 31.21 | 102 | 123 | 133 | 27 | 135 | 139 | 119 |
| 145 | Garden Grove, CA | 31.18 | 124 | 115 | 138 | 27 | 141 | 118 | 112 |
| 146 | Chula Vista, CA | 30.79 | 129 | 132 | 121 | 65 | 133 | 140 | 142 |
| 147 | Brownsville, TX | 30.57 | 139 | 149 | 105 | 91 | 71 | 149 | 90 |
| 148 | Yonkers, NY | 28.98 | 138 | 145 | 147 | 104 | 140 | 103 | 47 |
| 149 | Fremont, CA | 28.33 | 144 | 102 | 149 | 19 | 132 | 125 | 135 |
| 150 | San Jose, CA | 26.43 | 133 | 128 | 150 | 99 | 127 | 121 | 139 |

The sins people commit every day lead many to wonder what incites them, whether certain evil acts are worse than others and how people can conquer their inner demons. These are among the puzzling questions we posed to a panel of experts whose bios and thoughts on the following key questions can be found below.
- To what extent is sinful behavior innate versus influenced by your surroundings?
- What makes some cities more sinful than others? Laws? Culture?
- Why do some cities have more cheaters than others?
- Is cheating within marriage becoming more or less common over time?
- Should government play a role in trying to reduce greed and consumerism?
- What are some effective strategies for combating addiction and domestic violence?
Amanda Miller Associate Professor of Sociology, Director of the MA in Applied Sociology and Facilitator for the Faculty Learning & Design Studio at University of Indianapolis
Ashley Thompson Assistant Professor in the Department of Psychology at the University of Wisconsin - Oshkosh
Brian J. Willoughby Associate Professor in the School of Family Life at Brigham Young University
Emily Huddart Kennedy Assistant Professor in the Department of Sociology at Washington State University
Pepper Schwartz Professor of Sociology at the University of Washington
To what extent is sinful behavior innate versus influenced by your surroundings? As a sociologist, I leave the question of whether sin is innate to the theologians. In my field, we spend most of our time examining how one’s surroundings influence their behaviors. For example, if the social norms of a location dictate that certain behavior is acceptable, you might be more willing to engage in that behavior. In fact, that behavior may not be considered “sinful” at all. What we consider “sinful” is socially constructed. That means each social group and society creates its own definition, often to meet a particular social or historical need. Smoking marijuana in Portland, for example, certainly would not be considered sinful by most; it would be seen no differently than buying alcohol. However, in the Philippians, possession of a single joint is considered so harmful by those in power that it could result in over a decade in prison. What makes some cities more sinful than others? Laws? Culture? When I think of “sin” I often think of “deviance” though the two are not necessarily synonymous. In large part, the culture can play a role in setting norms of what is or is not acceptable. However, other factors matter as well. For example, when people feel less attached to their communities or foresee few achievable positive alternatives, they are more likely to turn to deviant behavior. Why do some cities have more cheaters than others? I would argue that demographics play a huge role in why some cities have more incidences of infidelity than others. Whisman and Snyder, for example, find that infidelity is more common among those who are younger. There are also relationships between infidelity and ethnicity. Further, cohabiting couples are more likely to be unfaithful than those who are married. A young, diverse city with a high proportion of cohabiting young adults, then, would likely have more infidelity than would a city full of older, married adults. It is not that living in Tampa, Florida discourages infidelity while living in Columbus, Ohio encourages it; it is that the kinds of people (e.g., older, married) who choose to live in Tampa would be less likely to cheat regardless of where they lived. Is cheating within marriage becoming more or less common over time? Infidelity seems to have increased over time, but there may be several reasons which make that answer more complicated than it first seems. First, infidelity is generally viewed negatively, but, not unlike divorce, social norms about infidelity have changed such that we no view the behavior as negatively as we once did. That means that more individuals may be willing to admit to being unfaithful than did in previous surveys. Second, we live longer than we once did. “Till death do us part” is a much weightier prospect with an average lifespan of 75+ than one of 50. There is simply more time in which to cheat. Finally, with the rise of more married women in the workforce, there is a greater opportunity to meet prospective mates than in the past, particularly for heterosexual individuals. In all, then, it might not be that we are more unfaithful than ever because something has shifted in our cultural morality, but rather that we are more honest about our shortcomings and have more opportunities in which to engage in extra-marital affairs. Should government play a role in trying to reduce greed and consumerism? Personally, I think the government has no business legislating individual morality. We can see numerous examples of government overreach throughout history and around the world (where individuals are put to death for infidelity, for example.) However, the American Government does play a role in trying to reduce greed, at least, on a larger scale through things like anti-trust laws. We see an example of this at the present through the bipartisan questioning of the Time Warner-AT&T merger in the Senate Judiciary Committee. And, an entire agency, the Office of Government Ethics is tasked with promoting ethical compliance within the executive branch (the House and Senate have their own committees as well.) Although such actions may not directly reduce greed and consumerism, they certainly keep ethical issues a part of governmental conversation. What are some effective strategies for combating addiction and domestic violence? The first step to combating addiction and domestic violence is to ensure that there is adequate funding for doing so at all levels - social services, policing, drug treatment facilities, and supportive services for those in recovery or who have left abusive relationships. Second, we need to view both addiction and domestic violence as public health issues, rather than as moral failings. Finally, we should recognize that both issues are long-term and that relapse or returning to one’s abuser are very often a part of the process; neither means that the affected individual is weak as multiple attempts are extremely common. Stigmatizing those with additions or in violent relationships only does them further harm and leads to more of the behaviors we are trying to help them avoid. Ashley Thompson Assistant Professor in the Department of Psychology at the University of Wisconsin - Oshkosh
To what extent is sinful behavior innate versus influenced by your surroundings? The classic nature vs nurture question. Because I am shaped by my interdisciplinary background, I am going to give my stereotypical psychologist response: "it is both, nature and nurture work simultaneously at shaping who we are as well as our sexual behavior and desires." Like almost all types of human behavior, sex and sexual desire is complex. Contemporary psychologists now agree that heredity and the environment do not act independently. Both our genetics and our surroundings are essential for any behavior (including sexual behavior). It is impossible to separate the two influences because nature and nurture are not distinct, rather they interact in a complex manner. For example, sex drive in men and women is partially explained by testosterone levels. Thus, some may argue that sex drive can entirely be explained by one's biology or genetics. However, we also know that certain environments foster sexual experimentation and the manifestation of sexual behavior. For example, although a man may be born with high levels of testosterone, that does not mean he will act on his sexual desires unless he thrives in an environment that promotes those desires. What makes some cities more sinful than others? Laws? Culture? I would argue this depends on your definition of "sinful." For example, some cities/countries may consider certain sexual behaviors to be "immoral" or "unconventional" that other cities/countries simultaneously define as "commonplace." For example, nonmonogamy may be common place in some polygamous cultures, however, western cultures (like the U.S.) highly stigmatize these behaviors and consider them to be "immoral" (Conley et al., 2013). In essence, the word "sinful" is culturally defined. The determination of what behaviors are "sinful" is largely determined by the customs adopted by the culture defining it. This (I would argue) is why sinful behaviors vary greatly. In particular, people's perceptions of "sinful" likely vary based on the culture with which they are being performed as well as the person judging the behavior. Why do some cities have more cheaters than others? First of all, I was not aware that some cities had more "cheaters" than others. However, certain cities may be more susceptible to cheating than others due to their size. For example, according to my research (Thompson & O'Sullivan, 2016) many behaviors commonly occurring online (e.g., viewing pornography, masturbating over webcam, sending sexts, browsing singles websites) are judged as infidelity (by many). Considering that larger cities provide a wider range of online options (more tinder profiles, etc.) it could be that people from larger cities have more opportunities to engage in infidelity (both with and without the use of technology). Conversely, it could also relate to the behaviors incorporated into people's conceptualization of infidelity. In more conservative cities and cultures (smaller/rural cities), people may define more benign behaviors (flirting, buying someone a drink, masturbating) as infidelity as compared to more permissive cities (larger cities - San Francisco). Thus, people may be more likely to blame their partner for cheating in conservative areas (as compared to permissive areas) because their definitions are more inclusive (i.e., they judge a wider range of behaviors as cheating). Is cheating within marriage becoming more or less common over time? There is very little research on infidelity prior to the last 3-4 decades. Consequently, trends in rates of infidelity are hard to assess. However, there is some research suggesting that rates of infidelity may have increased over the past few decades. Although this might be true, I would argue that occurrences of infidelity may not be becoming more commonplace but that researchers are doing a better job of assessing them. For example, very early research examining infidelity often only assessed sexual infidelity (i.e., extra-dyadic sexual intercourse), whereas recent research is taking a more comprehensive approach by using people's own definitions of infidelity to determine if they have "cheated" or not. So, let's say that an individual defines masturbating over webcam as infidelity. If they have experience with a partner who has masturbated over webcam, then we could conclude that they have experience with infidelity. However, previous research would have overlooked this occurrence of infidelity, thus the prevalence of infidelity would have been largely underestimated. Brian J. Willoughby Associate Professor in the School of Family Life at Brigham Young University
To what extent is sinful behavior innate versus influenced by your surroundings? First, it is important to define what “sinful” means. Taken outside of a strictly religious context, we generally refer to sinful behavior as behavior that fall outside of the normative or moral code within our society. With that definition in mind, is sinful behavior innate or influenced by surroundings? The answer, as is often the case, is a bit of both. While many might indulge in the nature vs. nurture debate, it seems clear from most empirical scholarship that both innate (personality traits, temperament, etc.) and surroundings (family background, relationship experiences, life events, etc.) influence one’s likelihood of engaging in sinful behavior. For example, one might have a genetic or innate disposition toward the development of an addiction or compulsive behavior, but one’s surroundings might lead that predisposition to be directed toward alcoholism. What makes some cities more sinful than others? Laws? Culture? One of the basic tenants of psychology is that thoughts, values and attitudes often precede behavior. So what would make certain cities or areas of the country more sinful? I would suggest it is the underlying cultural values that define the people that make up a given population. Different regions, urban vs. rural areas, and varying racial and ethnic backgrounds found across different metro areas give different cities different cultural values and, by extension, differing behavioral patterns that may or may not line up with the general cultural norms. Why do some cities have more cheaters than others? In addition to the cultural value differences mentioned above, another important element of cheating is the availability of other potential romantic partners. Some cities, whether through a vibrant night life scene or popular regional events, give people more opportunities to interact and meet others. With more opportunities to interact and meet alterative partners, the “risk” of cheating will go up. Is cheating within marriage becoming more or less common over time? I do not think there is reliable enough data to suggest this in either direction. Cheating is a behavior with strong cultural values tied to it and it is likely often underreported in most survey data. Should government play a role in trying to reduce greed and consumerism? A very loaded question. I think rational people will likely always debate whether specific governmental policies should intervene with an individual’s personal freedom to make their own decisions in regard to money, goods, and other personal behaviors. However, I do believe that any healthy culture and country will hopefully be one where a government is concerned about the collective good and the welfare of its citizens. In other words, governments should be concerned about greed and consumerism (to the extent where such consumerism interferes with decent and moral behavior) in a general and broad way. What the government then does with that concern in terms of specific policies is a much larger debate. What are some effective strategies for combating addiction and domestic violence? One of the first things people can do to help combat addiction, domestic violence, or any other major life stressor is seek out the resources around you. Most regions and cities have many resources that individuals, couples and families might tap into to seek education on a particular issue or invention for personalized help. It is also helpful to approach these issues from a systemic perspective. Rather than a personal problem, explore how this might be resolved at the individual, couple, family, or even community level. Finally, believe in the greater good in humanity. Research suggests that any hardship can be generally overcome with the right resources and attitude, believe in the power of resiliency in your own life and work toward that goal. Emily Huddart Kennedy Assistant Professor in the Department of Sociology at Washington State University
To what extent is sinful behavior innate versus influenced by your surroundings? My research has shown that environmental impact (e.g., carbon footprint, engagement in household "green" practices like recycling and buying organic products) is shaped more by context than it is by anything innate. For example, a study I conducted compared "green behaviors" of suburban residents to urban residents. Suburban residents scored lower, even though their levels of concern for the environment were the same. But living in a suburb makes it harder to buy green products if they aren't available in the local store, commute by bike or transit, and live with fewer than two vehicles. That's why it's so important that cities take on initiatives to make sustainable living the "default option" if we really want to get serious about using fewer resources (e.g., water, energy). What makes some cities more sinful than others? Laws? Culture? Both, likely. Policies to discourage the construction of extremely large homes ("McMansion ordinances") and encourage, or incentivize, energy efficiency upgrades likely reduce the energy footprint of the residential sector. Likewise, a culture that encourages cycling and walking will make it feel more normal for people to leave their car at home to get to work. Should government play a role in trying to reduce greed and consumerism? Yes, my research suggests so. Data on household environmental impact show that people impact the environment much more by going about their daily lives (working, taking kids to school, taking a vacation to relax, or traveling for work) than they do through senseless consumerism. So if local and state governments can ease the financial burden of making the "greener" choice when it comes to travel and housing, the impact of the residential sector would be much lower. Pepper Schwartz Professor of Sociology at the University of Washington
To what extent is sinful behavior innate versus influenced by your surroundings? Everything in life is contextual. While we could argue about the meaning of the word "sin" (I think of it in an ironic way about eroticized behavior and environments), obviously there are places that are organized around illegal or semi-illegal behavior (i.e., lap dancing but not fondling or sexual intercourse) that have a feel to them that more or less says, “Why would you be here if you weren’t going to indulge in sinful behavior?” What makes some cities more sinful than others? Laws? Culture? Both. Take Amsterdam for example. The culture is permissive in general, for example, besides legalized prostitution they allowed lawful use of Marijuana way before most other cities and countries. Then, whether the law allows something - or allows something by not enforcing those laws (for example, there are southern cities in the United States that still have sodomy laws but they do not enforce them.) However, enforcement depends on culture. If the citizens were screaming for enforcement, the enforcement would happen more and more effectively. Thus, many cities have a desultory approach to pornography until, let’s say, a shop selling pornography moves into a residential neighborhood and the neighborhood goes crazy and pickets the place. Then you get enforcement pretty quickly. Why do some cities have more cheaters than others? If there are more cheaters it’s probably because there are more people, more anonymous places to go, fewer people you know who would see you (and tell your spouse or partner), and fewer laws that would punish you for cheating with real penalties. The penalty for adultery in Saudi Arabia is usually death - that's pretty discouraging. In Georgia, the person who cheats pays more money in a divorce settlement (it is not a no fault divorce state.) In New York - no problem. Is cheating within marriage becoming more or less common over time? It is still not the majority of marriages, but the data seems to indicate that whereas it used to be much more common for men to cheat, now the sexes are more alike, and cheating (sex outside of marriage when there is a vow and understanding that it would be a major violation of the relationship) seems to occur somewhat earlier. If that remains true, sheer increase in numbers of people (i.e., more women) would mean that cheating is becoming more common. Should government play a role in trying to reduce greed and consumerism? This is too much of a jump cut for me - but try doing much about that in a capitalist society. Nonetheless, some very progressive cities are trying to do that. Seattle, for example, has some new legislation pending that would curb the amount of money a landlord could ask for in terms of last months’ rent, damage deposits, etc. Many cities have rent control. Income taxes are graduated for that reason. So there is a lot going on but it is not in the anti-greed camp but more about equity of sacrifice, and contribution to running government, or allowing people to have housing, etc.
Methodology
In order to determine the most sinful cities in America, WalletHub’s number crunchers compared the 150 most populated cities across seven key dimensions: 1) Anger & Hatred, 2) Jealousy, 3) Excesses & Vices, 4) Avarice, 5) Lust, 6) Vanity and 7) Laziness.
We examined these dimensions using 27 relevant metrics, which are listed below with their corresponding weights. Each metric was graded on a 100-point scale, with 100 representing the highest level of sinfulness. Please note that data for metrics marked with an asterisk (*) were available at the state level only.
Finally, we calculated the overall score, or WalletHub Vice Index, for each city based on its weighted average across all metrics and used the resulting scores to rank the cities accordingly.
Anger & Hatred – Total Points: 14.3- Violent Crimes per Capita: Full Weight (~3.57 Points)
- Sex Offenders per Capita: Full Weight (~3.57 Points)
- Bullying Rate*: Full Weight (~3.57 Points)
- Suicide Rate: Full Weight (~3.57 Points)
- Thefts per Capita: Full Weight (~4.76 Points)
- Identity-Theft Complaints per Capita: Full Weight (~4.76 Points)
- Fraud & Other Complaints per Capita: Full Weight (~4.76 Points)
- Percentage of Obese Adults: Full Weight (~2.86 Points)
- Excessive Drinking: Full Weight (~2.86 Points)Note: This metric measures the age-adjusted prevalence of binge and heavy drinking among the adults population.
- Percentage of Adult Smokers: Full Weight (~2.86 Points)
- Drug Overdose Deaths: Full Weight (~2.86 Points)Note: “Drug Overdose Deaths” refers to the number of deaths due to drug poisoning per 100,000 residents.
- Debt-to-Income Ratio: Full Weight (~2.86 Points)
- Number of Casinos per Capita: Full Weight (~4.76 Points)
- Charitable Donations as a Percentage of Income: Full Weight (~4.76 Points)
- Percentage of Residents with Gambling Disorders*: Full Weight (~4.76 Points)
- Potential Cheaters: Double Weight (~5.71 Points)Note: Number of Ashley Madison Users per Capita
- Adult-Entertainment Establishments per Capita: Full Weight (~2.86 Points)
- Teen Births Rate: Full Weight (~2.86 Points)Note: “Teen Births Rate” refers to the number of births per 1,000 female residents aged 15 to 19.
- “Most Active Tinder Users” Ranking: Full Weight (~2.86 Points)
- Beauty Salons per Capita: Full Weight (~4.76 Points)
- Tanning Salons per Capita: Full Weight (~4.76 Points)
- Plastic Surgeons per Capita: Full Weight (~4.76 Points)
- Percentage of Adults Who Do Not Exercise: Full Weight (~2.86 Points)
- Mean Hours Worked: Full Weight (~2.86 Points)
- Volunteer Rate: Full Weight (~2.86 Points)
- Average Daily Time Spent Watching TV*: Full Weight (~2.86 Points)
- High School Dropout Rate: Full Weight (~2.86 Points)Note: This metric was adjusted by the poverty rate.
Sources: Data used to create this ranking were collected from the U.S. Census Bureau, Bureau of Labor Statistics, Federal Bureau of Investigation, Advameg, Centers for Disease Control and Prevention, Federal Trade Commission, County Health Rankings, TransUnion, Yelp, The Chronicle of Philanthropy, National Council on Problem Gambling, Corporation for National and Community Service, Carto and Tinder.
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