How much jurisdiction should use data measures beyond cost in budgeting process
Full Question Text
Thinking about the use of data measures beyond cost (e.g., number of fire runs, number of water main breaks, community demand for services) in your government's budgeting process, how much should your government do?
| Statewide Total | |
|---|---|
| 1:Not at all | 1% |
| 2 | 1% |
| 3 | 2% |
| 4 | 2% |
| 5 | 13% |
| 6 | 8% |
| 7 | 13% |
| 8 | 17% |
| 9 | 7% |
| 10:A great deal | 10% |
| Not applicable | 13% |
| Don't know | 12% |
| County | Township | City | Village | Total | |
|---|---|---|---|---|---|
| 1:Not at all | 5% | 2% | 0% | 0% | 1% |
| 2 | 0% | 1% | 1% | 0% | 1% |
| 3 | 3% | 3% | 1% | 3% | 2% |
| 4 | 0% | 2% | 4% | 2% | 2% |
| 5 | 16% | 13% | 7% | 20% | 13% |
| 6 | 12% | 7% | 7% | 12% | 8% |
| 7 | 17% | 11% | 16% | 14% | 13% |
| 8 | 18% | 13% | 27% | 18% | 17% |
| 9 | 8% | 5% | 15% | 3% | 7% |
| 10:A great deal | 6% | 9% | 15% | 10% | 10% |
| Not applicable | 9% | 18% | 1% | 7% | 13% |
| Don't know | 6% | 14% | 7% | 11% | 12% |
| <1500 | 1500-5000 | 5001-10000 | 10001-30000 | >30000 | Total | |
|---|---|---|---|---|---|---|
| 1:Not at all | 1% | 1% | 1% | 2% | 1% | 1% |
| 2 | 1% | 1% | 2% | 0% | 0% | 1% |
| 3 | 3% | 2% | 2% | 2% | 1% | 2% |
| 4 | 3% | 2% | 4% | 2% | 2% | 2% |
| 5 | 17% | 11% | 10% | 12% | 8% | 13% |
| 6 | 7% | 9% | 11% | 6% | 10% | 8% |
| 7 | 11% | 14% | 18% | 12% | 15% | 13% |
| 8 | 13% | 17% | 15% | 25% | 29% | 17% |
| 9 | 3% | 8% | 9% | 13% | 10% | 7% |
| 10:A great deal | 9% | 9% | 13% | 15% | 13% | 10% |
| Not applicable | 20% | 13% | 3% | 3% | 5% | 13% |
| Don't know | 12% | 14% | 14% | 6% | 6% | 12% |
| Upper Peninsula | Northern Lower Peninsula | West Central Lower Peninsula | East Central Lower Peninsula | Southwest Lower Peninsula | Southeast Lower Peninsula | Total | |
|---|---|---|---|---|---|---|---|
| 1:Not at all | 2% | 1% | 2% | 1% | 1% | 0% | 1% |
| 2 | 1% | 1% | 1% | 1% | 0% | 2% | 1% |
| 3 | 4% | 2% | 1% | 3% | 4% | 2% | 2% |
| 4 | 2% | 2% | 3% | 2% | 5% | 2% | 2% |
| 5 | 16% | 9% | 15% | 16% | 11% | 14% | 13% |
| 6 | 14% | 4% | 9% | 7% | 7% | 9% | 8% |
| 7 | 16% | 15% | 14% | 13% | 8% | 12% | 13% |
| 8 | 12% | 11% | 16% | 16% | 21% | 22% | 17% |
| 9 | 2% | 8% | 6% | 8% | 6% | 8% | 7% |
| 10:A great deal | 12% | 10% | 7% | 4% | 14% | 14% | 10% |
| Not applicable | 10% | 19% | 15% | 17% | 12% | 7% | 13% |
| Don't know | 10% | 17% | 12% | 12% | 12% | 9% | 12% |
| Rural | Mostly rural | Mostly urban | Urban | Don't know | Total | |
|---|---|---|---|---|---|---|
| 1:Not at all | 2% | 1% | 1% | 0% | 0% | 1% |
| 2 | 1% | 1% | 1% | 0% | 0% | 1% |
| 3 | 2% | 2% | 4% | 5% | 0% | 2% |
| 4 | 2% | 3% | 3% | 4% | 0% | 2% |
| 5 | 16% | 11% | 7% | 9% | 15% | 13% |
| 6 | 8% | 10% | 10% | 7% | 0% | 8% |
| 7 | 11% | 15% | 15% | 6% | 10% | 13% |
| 8 | 13% | 19% | 26% | 31% | 0% | 17% |
| 9 | 5% | 8% | 12% | 10% | 4% | 7% |
| 10:A great deal | 8% | 11% | 14% | 19% | 10% | 10% |
| Not applicable | 18% | 10% | 3% | 2% | 0% | 13% |
| Don't know | 12% | 9% | 3% | 6% | 61% | 12% |