Religious tradition among adults who say that government aid to the poor does more harm than good by state (2014) Switch to: State among adults who say that government aid to the poor does more harm than good by religious group

% of adults who say that government aid to the poor does more harm than good who are…

StateBuddhistCatholicEvangelical ProtestantHinduHistorically Black ProtestantJehovah's WitnessJewishMainline ProtestantMormonMuslimOrthodox ChristianOther ChristianOther FaithsOther World ReligionsUnaffiliated (religious "nones")Don't knowSample size
Alabama< 1%7%61%< 1%5%< 1%< 1%12%1%< 1%< 1%1%< 1%< 1%11%1%262
Alaska< 1%19%30%< 1%3%< 1%< 1%13%4%< 1%5%< 1%2%1%21%< 1%135
Arizona1%22%30%< 1%< 1%< 1%1%13%7%< 1%< 1%1%< 1%< 1%23%< 1%325
Arkansas< 1%10%53%1%4%< 1%< 1%17%2%1%< 1%< 1%1%< 1%11%< 1%155
California1%29%27%1%1%1%1%11%2%1%< 1%< 1%1%1%22%< 1%1,423
Colorado< 1%17%36%< 1%1%< 1%< 1%14%5%< 1%1%1%1%< 1%20%2%227
Connecticut< 1%32%11%< 1%4%< 1%4%24%3%2%< 1%< 1%1%< 1%18%< 1%147
Delaware< 1%26%16%1%5%1%< 1%22%1%2%< 1%< 1%< 1%< 1%26%< 1%121
Florida< 1%23%28%< 1%5%1%2%15%1%< 1%1%1%2%< 1%20%1%953
Georgia1%8%45%< 1%13%1%1%12%2%< 1%< 1%< 1%1%< 1%15%< 1%460
Hawaii7%26%24%< 1%2%< 1%< 1%12%3%< 1%< 1%< 1%< 1%< 1%24%< 1%123
Idaho< 1%8%23%< 1%< 1%< 1%< 1%17%26%< 1%1%< 1%1%< 1%23%< 1%150
Illinois< 1%31%25%< 1%4%1%1%15%< 1%1%1%< 1%1%< 1%18%1%566
Indiana< 1%22%37%< 1%3%< 1%< 1%16%1%< 1%< 1%< 1%< 1%< 1%21%< 1%343
Iowa< 1%18%36%< 1%< 1%< 1%< 1%30%< 1%< 1%< 1%< 1%< 1%< 1%16%< 1%158
Kansas< 1%16%37%< 1%2%< 1%< 1%28%1%1%1%< 1%1%< 1%14%< 1%154
Kentucky< 1%10%57%< 1%2%< 1%< 1%12%< 1%< 1%< 1%< 1%1%< 1%17%< 1%216
Louisiana< 1%26%36%< 1%10%1%< 1%9%< 1%< 1%< 1%< 1%< 1%< 1%15%< 1%235
Maine< 1%21%19%< 1%< 1%< 1%1%28%< 1%< 1%< 1%1%< 1%< 1%27%2%125
Maryland< 1%18%21%< 1%11%< 1%3%26%< 1%1%1%1%1%< 1%17%< 1%254
Massachusetts< 1%46%12%2%3%< 1%1%9%1%2%1%< 1%1%< 1%23%1%248
Michigan< 1%20%33%< 1%5%1%1%16%< 1%< 1%< 1%1%1%< 1%21%2%425
Minnesota< 1%25%31%< 1%< 1%< 1%< 1%26%< 1%< 1%< 1%1%< 1%1%14%1%231
Mississippi< 1%5%51%< 1%16%< 1%< 1%11%2%1%< 1%< 1%1%< 1%12%< 1%157
Missouri< 1%16%43%< 1%4%1%< 1%15%3%< 1%< 1%< 1%< 1%< 1%18%< 1%312
Montana< 1%16%35%< 1%< 1%1%< 1%14%6%< 1%1%< 1%3%< 1%24%< 1%171
Nebraska< 1%25%33%1%1%< 1%< 1%23%1%1%< 1%1%1%< 1%11%1%156
Nevada< 1%28%22%< 1%2%< 1%2%10%6%< 1%< 1%< 1%1%< 1%27%1%143
New Hampshire< 1%30%20%< 1%< 1%4%< 1%20%1%< 1%< 1%< 1%< 1%< 1%24%1%108
New Jersey1%38%12%3%3%1%7%13%1%2%1%< 1%2%< 1%16%1%362
New Mexico1%29%31%< 1%< 1%1%1%21%2%< 1%< 1%1%< 1%< 1%14%< 1%131
New York1%36%12%2%4%1%5%13%1%2%1%< 1%< 1%< 1%23%< 1%748
North Carolina< 1%10%43%< 1%7%1%< 1%20%< 1%< 1%1%< 1%1%< 1%16%< 1%451
North Dakota< 1%25%24%1%1%< 1%< 1%33%< 1%< 1%< 1%< 1%1%< 1%15%< 1%179
Ohio< 1%22%33%< 1%5%1%1%18%1%< 1%< 1%< 1%1%< 1%18%< 1%526
Oklahoma< 1%9%56%< 1%2%< 1%< 1%16%1%< 1%< 1%< 1%< 1%< 1%15%< 1%190
Oregon< 1%14%37%< 1%< 1%< 1%1%15%6%< 1%1%1%1%< 1%22%1%158
Pennsylvania< 1%24%24%1%4%1%1%26%< 1%1%1%< 1%1%< 1%17%< 1%640
Rhode Island< 1%40%19%3%2%< 1%1%11%1%< 1%< 1%< 1%< 1%2%20%< 1%116
South Carolina< 1%9%47%< 1%9%1%1%19%1%1%1%< 1%< 1%< 1%11%< 1%227
South Dakota< 1%23%32%< 1%< 1%< 1%< 1%29%1%< 1%< 1%< 1%2%< 1%13%< 1%164
Tennessee< 1%6%59%< 1%4%< 1%1%15%1%< 1%< 1%< 1%1%< 1%10%1%339
Texas1%20%38%< 1%5%1%1%14%1%1%< 1%1%1%< 1%17%< 1%1,231
Utah< 1%3%6%< 1%< 1%< 1%< 1%5%70%< 1%< 1%< 1%< 1%< 1%15%< 1%164
Virginia< 1%14%36%< 1%6%< 1%1%18%3%1%1%< 1%< 1%1%19%< 1%412
Washington< 1%17%34%1%1%2%1%11%5%< 1%1%< 1%3%< 1%23%1%276
West Virginia< 1%3%47%< 1%< 1%< 1%< 1%26%2%< 1%< 1%< 1%2%< 1%19%< 1%144
Wisconsin< 1%28%30%< 1%1%1%< 1%21%< 1%1%< 1%< 1%< 1%< 1%18%< 1%299
Wyoming< 1%12%35%< 1%< 1%< 1%< 1%15%12%< 1%< 1%1%2%< 1%23%< 1%195
Sample sizes and margins of error vary from subgroup to subgroup, from year to year and from state to state. You can see the sample size for the estimates in this chart on rollover or in the last column of the table. And visit this table to see approximate margins of error for a group of a given size. Readers should always bear in mind the approximate margin of error for the group they are examining when making comparisons with other groups or assessing the significance of trends over time. For full question wording, see the survey questionnaire.

Learn More: Catholic, Evangelical Protestant, Historically Black Protestant, Jewish, Mainline Protestant, Mormon, Unaffiliated (religious "nones")