Police spending per resident (definition)FY2016
- Peer median
- Not reported for this year
- CO median
- Not reported for this year
- Position
- Not reported for this year
- 5-year change
- Not reported for this year
Jefferson County · Denver Metro · Pop. 517 (2025 estimate); 2016 per-resident figures use 543 · Public safety data 2016–2025
Mountain View had 14.7 sworn officers per 1,000 residents in 2016. Reported violent crime was 0.0 per 1,000 residents, 100% below the Colorado median, and property crime was 12% below the median.
Generated from the figures below. Every number links to its source.
Notes: spending is fiscal-year Census data; staffing and crime are calendar-year FBI data via CBI. Dollars are nominal. Definitions: orivian.ai/benchmarks/methodology#public-safety
Reporting agency: Mountain View Police Department (ORI CO0300900) · 12 of 12 months reported.
Spending: FY2016, the government's fiscal year (Census). Staffing: 2016, sworn officers on the payroll October 31 (FBI).
per 1,000 residents
Reported crime reflects what is reported to police and how it is recorded, not only how much crime occurs.
per 1,000 residents
Based on fewer than 10 reported incidents; small changes move this rate a lot.
per 1,000 residents
1Metric
— Police spending divided by population
= Police spending ÷ population
Full definition: Police spending per resident2Inputs
Reported directly; no derived inputs.
3Census line items
No line items recorded.
4Source file
No source recorded.
1Metric
— Police spending as a share of total expenditure
= Police spending ÷ total expenditure
Full definition: Police share of spending2Inputs
Reported directly; no derived inputs.
3Census line items
No line items recorded.
4Source file
No source recorded.
1Metric
— Police spending divided by sworn officers. Police spending covers civilian staff, equipment and construction as well as officer pay, so this is not a salary figure.
= Police spending ÷ sworn officers
Full definition: Police spending per officer2Inputs
Reported directly; no derived inputs.
3Census line items
No line items recorded.
4Source file
No source recorded.
1Metric
14.7 Sworn officers per 1,000 residents
= Sworn officers ÷ population * 1000
Full definition: Officers per 1,000 residents2Inputs
Sworn officers 8 · Population 543 (2016 estimate)
3Who is counted
Included by definition; counts are the agency’s totals.
4Source file
Crime Data Explorer police employees, 2016
Retrieved October 12, 2026 · View source: Crime Data Explorer police employees, 2016 (opens in a new tab)
Population Estimates Program, Vintage 2020 - incorporated places
Retrieved October 7, 2026 · View source: Population Estimates Program, Vintage 2020 - incorporated places (opens in a new tab)
1Metric
0.0 Violent crimes per 1,000 residents
= Violent crimes ÷ population * 1000
Full definition: Violent crime rate2Inputs
Violent crimes 0 · Population 543 (2016 estimate)
3Offenses included (FBI definitions)
Included by definition; counts are the agency’s totals.
4Source file
Crime Data Explorer summarized offenses and clearances, 2016
Retrieved October 12, 2026 · View source: Crime Data Explorer summarized offenses and clearances, 2016 (opens in a new tab)
Population Estimates Program, Vintage 2020 - incorporated places
Retrieved October 7, 2026 · View source: Population Estimates Program, Vintage 2020 - incorporated places (opens in a new tab)
1Metric
20.3 Property crimes per 1,000 residents
= Property crimes ÷ population * 1000
Full definition: Property crime rate2Inputs
Property crimes 11 · Population 543 (2016 estimate)
3Offenses included (FBI definitions)
Included by definition; counts are the agency’s totals.
4Source file
Crime Data Explorer summarized offenses and clearances, 2016
Retrieved October 12, 2026 · View source: Crime Data Explorer summarized offenses and clearances, 2016 (opens in a new tab)
Population Estimates Program, Vintage 2020 - incorporated places
Retrieved October 7, 2026 · View source: Population Estimates Program, Vintage 2020 - incorporated places (opens in a new tab)
1Metric
— Violent crimes cleared as a share of violent crimes reported. Clearances can include offenses from earlier years, so this can exceed 100%.
= Violent crimes cleared ÷ violent crimes
Full definition: Violent crime clearance rate2Inputs
Reported directly; no derived inputs.
3Offenses included (FBI definitions)
Included by definition; counts are the agency’s totals.
4Source file
No source recorded.
1Metric
18.2% Property crimes cleared as a share of property crimes reported. Clearances can include offenses from earlier years, so this can exceed 100%.
= Property crimes cleared ÷ property crimes
Full definition: Property crime clearance rate2Inputs
Property crimes cleared 2 · Property crimes 11
3Offenses included (FBI definitions)
Included by definition; counts are the agency’s totals.
4Source file
Crime Data Explorer summarized offenses and clearances, 2016
Retrieved October 12, 2026 · View source: Crime Data Explorer summarized offenses and clearances, 2016 (opens in a new tab)
The same five peers as the finance pages. Police spending is per resident for the fiscal year shown; staffing and crime are per 1,000 residents for 2016. How peers are chosen
Benchmark unavailable: there is no peer group for 2016.
Police spending by fiscal year; staffing and crime by calendar year. Lines break where a year is missing or withheld; nothing is interpolated.
Fiscal year · nominal dollars, not adjusted for inflation
| Year | This city | Peer median | Colorado median |
|---|---|---|---|
| FY2021 | Withheld (Police spending per resident is 8.7x the peer median) | Benchmark unavailable | $332 (174 reporting, sample year) |
Calendar year
| Year | This city | Peer median | Colorado median |
|---|---|---|---|
| 2016 | 14.7 | Benchmark unavailable | 2.4 (145 reporting, sample year) |
| 2017 | 14.6 | Benchmark unavailable | 2.2 (145 reporting, sample year) |
| 2018 | 12.8 | Benchmark unavailable | 2.2 (152 reporting, sample year) |
| 2019 | 16.3 | Benchmark unavailable | 2.2 (153 reporting, sample year) |
| 2020 | 16.7 | Benchmark unavailable | 2.2 (153 reporting, sample year) |
| 2021 | 16.8 | Benchmark unavailable | 2.3 (155 reporting, sample year) |
| 2022 | 19.0 | Benchmark unavailable | 1.9 (155 reporting, sample year) |
| 2023 | 19.2 | Benchmark unavailable | 2.3 (155 reporting, sample year) |
| 2024 | 17.2 | Benchmark unavailable | 2.4 (155 reporting, sample year) |
| 2025 | 15.5 | Benchmark unavailable | 2.5 (143 reporting, sample year) |
Calendar year
| Year | This city | Peer median | Colorado median |
|---|---|---|---|
| 2016 | 0.0 | Benchmark unavailable | 1.9 (126 reporting, sample year) |
| 2017 | 1.8 | Benchmark unavailable | 1.7 (129 reporting, sample year) |
| 2018 | 0.0 | Benchmark unavailable | 2.1 (126 reporting, sample year) |
| 2019 | 0.0 | Benchmark unavailable | 2.0 (130 reporting, sample year) |
| 2020 | 0.0 | Benchmark unavailable | 2.0 (140 reporting, sample year) |
| 2021 | 1.9 | Benchmark unavailable | 2.5 (133 reporting, sample year) |
| 2022 | 5.7 | Benchmark unavailable | 2.4 (121 reporting, sample year) |
| 2023 | 0.0 | Benchmark unavailable | 2.5 (122 reporting, sample year) |
| 2024 | 1.9 | Benchmark unavailable | 2.1 (135 reporting, sample year) |
| 2025 | 0.0 | Benchmark unavailable | 2.1 (139 reporting, sample year) |
Calendar year
| Year | This city | Peer median | Colorado median |
|---|---|---|---|
| 2016 | 20.3 | Benchmark unavailable | 22.9 (126 reporting, sample year) |
| 2017 | 34.7 | Benchmark unavailable | 21.6 (129 reporting, sample year) |
| 2018 | 38.3 | Benchmark unavailable | 20.2 (126 reporting, sample year) |
| 2019 | 20.0 | Benchmark unavailable | 18.3 (130 reporting, sample year) |
| 2020 | 35.3 | Benchmark unavailable | 19.5 (140 reporting, sample year) |
| 2021 | 20.6 | Benchmark unavailable | 20.9 (133 reporting, sample year) |
| 2022 | 17.1 | Benchmark unavailable | 20.6 (121 reporting, sample year) |
| 2023 | 9.6 | Benchmark unavailable | 19.6 (122 reporting, sample year) |
| 2024 | 11.5 | Benchmark unavailable | 15.9 (135 reporting, sample year) |
| 2025 | 0.0 | Benchmark unavailable | 13.6 (139 reporting, sample year) |
Annual Survey of State & Local Government Finances 2017 - Individual Unit File · 2017 survey file
U.S. Census Bureau
Crime Data Explorer police employees, 2016 · 2016
FBI Crime Data Explorer (NIBRS data submitted by Colorado agencies through the Colorado Bureau of Investigation)
Crime Data Explorer summarized offenses and clearances, 2016 · 2016
FBI Crime Data Explorer (NIBRS data submitted by Colorado agencies through the Colorado Bureau of Investigation)
Population Estimates Program, Vintage 2020 - incorporated places · 2020
U.S. Census Bureau
Every figure on this page is read from the published index; nothing is recalculated for display. Read the methodology
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