Please Donate Today!

Understanding and Improving The 2009 NPMSRP Reporting Maps

Note: A new map page under construction, until then you can view our 2009 maps here and see our latest maps in our 2010 midyear statistical report here, thank you!

As part of the National Police Misconduct Statistics and Reporting Project’s 2009 Police Misconduct Statistical Report we generated a few maps to show not only where police misconduct occurred, but also how that translated into relative per capita rates of misconduct. However, it may help to go into a bit more detail about what these maps really show and why they were included in that report… and why we should have included even more.

First, The 2009 Police Misconduct Push-Pin Map:

9MonthPM

Despite the labels on some of the other maps that were made, this is the only true incident-based map since each push-pin represents a single report of police misconduct that occurred during the 8.5 month tracking period that the NPMSRP was active last year. The other maps show either per capita rates or the number of officers involved with reported incidents of misconduct.

This map isn’t that valuable except as an eye-catching way to show how much police misconduct occurs in the US within that period of time. It would have been more valuable if it were interactive and a visitor could zoom in and out of the map and click on each pin to see information about each incident. Unfortunately, the type of software needed to do that costs more than the NPMSRP, an unfunded independent project, can afford.

Next, The NPMSRP 2009 Localized Police Misconduct Incident Density Map:
NPMSRP 2009 CCPMR Map

As mentioned above, this map isn’t actually an incident map, it is a density map that shows how many officers were associated with reports of police misconduct within the reporting period at a county-level. That is to say, the number of officers working in agencies, city and county, located within a given county that were referenced in a report of police misconduct.

It should be noted that when reports mention incidents where unspecified multiple officers were involved, the NPMSRP makes a conservative estimate as to what that number might be. For example, the general rule is that a traffic stop where a report mentions more than one officer was involved will be recorded as involving 2 officers, a wrong door drug raid will be recorded as involving 3 officers, crowd control 4… As you can see, these are very conservative estimates.

The other problems with this map involve the color scale. First, the colors used for the scale were a mistake since the darker colors for higher number of reported officers obscures some locations where misconduct was prevalent. Namely places like smaller counties near state borders and independent cities like Washington DC because the dark purple is hard to distinguish from the state borders. Second, by topping the scale at 30+ it also obscures the fact that some localities had rates far exceeding 30 reports. In fact, some more than tripled that number. Unfortunately, these problems weren’t realized until the mapping was half-way completed.

This map was still under development when the 2009 preliminary report was released but may be included in the final report when that is published. The value of this map is debatable really, it would have been more valuable as a heat map that showed per capita misconduct density on a localized level but we just don’t have that capability since something like that would require specialized software. This map, just zooming into county level for number of officers involved, took 50 hours to create manually. So, as you can see, doing anything more complex than that would just be too time-prohibitive without software to aid the process. (and you can tell why I didn’t want to redo the scale after I was half-way through)

Next, The NPMSRP 2009 Police Misconduct Incident Map (State View)

NPMSRP_PMIM_2009This map is similar to the localized map discussed previously in that it shows the number of officers cited in reports of police misconduct recorded during the active project period, April 2009 – mid-December 2009, last year.  By itself, this map doesn’t really have any value and, in fact, can be pretty misleading since it’s hard to tell whether the states that are above average are above average because of their population size or if there is something else at play.

However, this map was included because it is valuable in demonstrating how the number of officers cited in each area translates into an actual per capita rate and can help people visualize why a state that doesn’t look like it has a problem on this map can still show an above average per capita misconduct rate. So, while not useful on its own, it can be useful if viewed side-by-side with the next map.

The NPMSRP 2009 Police Misconduct Density Map (per capita state level)

NPMSRP_PMRDM_2009This map shows the per capita police misconduct rates at a state-level for the recording period. To specify, it shows the per capita ratio of how many officers per state were cited in reports of police misconduct as compared with the number of sworn law enforcement officers reportedly employed at all law enforcement agencies within that state.

While fairly valuable on it’s own, this map still runs into problems with people’s expectations. For example, a lot of people expect states like Illinois or California to rank high, especially when they live there and constantly hear about reports of police misconduct on a weekly basis. (Yes, weekly basis… some cities had more reports than the number of weeks that the reports were recorded). This is why the incident map was included, to help address those questions… however, there’s a problem with that, which is why the following maps that weren’t included are needed too.

The Police Officers Per State Map

PolicePerStateThis map is fairly self-explanatory yet, in and of itself, doesn’t really have any value if we can’t get any context to go with what we’re looking at. But, paired with our maps above, it tells us how a few reports in a state like Vermont can send the per capita misconduct rate for that state up to the top while the same number of reports in a state like California would barely register.

But, does that really mean anything? Well, statistically, only if the sample time frame is so short that an aberration can creep into the statistics. Otherwise, the per capita rate is what it is, that one state with a lower police population is showing a higher rate of misconduct when compared to the average, then that state is above average for a reason. Our reporting period for 2009 was 8.5 months, at the mid-point Vermont was at the top of the misconduct rate chart. Yet, a few months later, it dropped to third place. So, this tells us that our sample time frame was too short… which is why we hope to get a full 12 months done in 2010.

But… there’s one more map that will help complete the puzzle, because it can help tell us if the police per capita rate for a state is abnormal and, if so, how that might impact the statistics…

The Police Per Capita Map

PolicePerPopThis map shows the number of law enforcement officers per every 100,000 people in each state, in other words, it’s a police per capita map. By itself this map can tell us if a state is dealing with criminal activity with a police-state mentality by throwing more officers, and thus more money, at the problem or if a state is doing something differently, or just can’t afford to keep so many expensive cops on the payroll.

However, in combination with the other maps, this map can help us determine if having over 81,000 police officers employed in California is overkill or about average for the state’s population. It can also tell us if that deviation from the average is also having an effect on the misconduct rate in some way, whether it might mask what would otherwise be a higher misconduct per capita rate if that state’s officer’s per capita rate were normalized, or if the low number of law enforcement officers might have an effect on police misconduct rates.

For example, law enforcement union representatives often suggest that high misconduct rates are caused by overworked police officers. If this were true, the maps would show a correlation between states with low per capita police officer numbers and states with high per capita police misconduct rates. If we compare the relative maps we see that this hypothesis is inconclusive in that some states with low per capita police rates have a higher than average police misconduct rate, but that this is not true in all cases and that the states with the lowest per capita police rates don’t have the highest per capita misconduct rates.

To sum it all up…

As you can see, a single map or chart can’t show us the whole picture of police misconduct… It takes a lot of work to paint a more detailed picture but, in the end, it’s worthwhile to do so. Its also clear that it will take a lot more work in the coming year for us to develop better reports and better ways to give people more valuable information about police misconduct in the US in ways that are easy to understand and visualize. That includes maps that are more interactive, more fluid, and filled with more pertinent information that will help us better understand the nature of police misconduct in the US.

Information that, hopefully, can be used to help address and reduce the rates of police misconduct that we see today. We hope the NPMSRP will be able to do that if we can keep it going through 2010.

11 comments to Understanding and Improving The 2009 NPMSRP Reporting Maps

  • Rob

    Unfortunately, the type of software needed to do that costs more than the NPMSRP, an unfunded independent project, can afford.

    Maybe I’m missing something, but couldn’t you just use Google Maps?

  • Rob,

    Yes, you are missing something unfortunately. In order to put the 3,400+ reports we tracked on a Google Map we would have to buy the most expensive Google Map version they sell. The free web-based Google Map limits you to about 250 entries, which is fewer than what we record in a month.

    Sorry, to do this through Google, we’d have to pay through the nose, and we can’t afford that.. In fact, can’t afford lint right now.

  • no bad cops

    “The NPMSRP 2009 Police Misconduct Density Map (per capita state level)

    the per capita ratio of how many officers per state were cited in reports of police misconduct as compared with the number of sworn law enforcement officers reportedly employed at all law enforcement agencies within that state.”

    Are states with higher populations (thus more cops) showing a lesser degree of misconduct then the ones where there are clearly too many cops for the total population–like Vermont?

    A recent article on the site–wish I had the link–told us that Chicago and New York had the highest blue snout per citizen ratios. I would expect these over policed places to have not only more reported misconduct, but higher then average arrest levels for petty and minor offences. Something we should take notice of even though it’s not misconduct per-se.

    All of your maps are both excellent and educational, but please never discount the many well written articles on this blog which help get the point accross just as effectively as any map.

  • There’s a complex dynamic at work when we talk about trying to gauge how police per capita affects police misconduct rates. First we have to accept that, due to our tracking method, we are limited in our effectiveness of getting a true rate reading by the effectiveness of the media in any given area. Let’s face it, some news agencies are more effective at reporting on instances of misconduct and others are so reliant on law enforcement agencies for their information that they don’t report on it at all. So, in regions where population density is low, there are also fewer news reporting agencies and those agencies that do exist tend to be less effective at reporting because of reduced staff and over-reliance on local law enforcement as a sole source of information.

    The other dynamic at play here is that larger law enforcement agencies tend to have more developed oversight components that, while not always, can tend to improve the likelihood that we’ll hear about an instance of misconduct. However, this tends to inverse curve when we talk about agencies, such as Chicago and New York, where there are so many officers that their representative unions gain an impressive amount of bargaining power and effectively hamper oversight mechanisms, thus hiding misconduct more effectively than a mid-sized agency.

    But… while we do see far more instances of misconduct where there is a high density of police, the actual per capita rate of misconduct tends to be closer to average for those areas, with some exceptions (namely in Louisiana where there is both an above average police per capita rate and an above average misconduct rate).

    As for pairing the petty arrest rates, I don’t have that kind of data available as it’s not something we currently track.

    Finally, I think the maps can be invaluable as, once they are refined and merged into an interactive map that shows all the data points from one map, they offer a more holistic view at the situation that allow us to see trends and potential issues that would have otherwise been obscured in all the data we collect and generate. These weren’t just created for the readers, I have also gained more insight into the issue of police misconduct through the maps as well. They are a useful tool and worth the time taken to create.

  • no bad cops

    Thanks–lots of good info in that reply and it clarified some of the questions I had.

    “some localities had rates far exceeding 30 reports. In fact, some more than tripled that number.”

    Wow, kinda scary. Maybe you can fill us in on these places when you have the time? One good thing the maps provide, no mater what their limitations, is to warn us about places we should stay away from.

  • no bad cops

    Wouldn’t the best indicator of real trouble be a mixture of these two maps, with the blue snout per citizen ratio also taken into account?

    1)The 2009 Police Misconduct Push-Pin Map–the only true incident-based map since each push-pin represents a single report of police misconduct.

    2) The Localized Police Misconduct Incident Density Map—how many officers were associated with reports of police misconduct within the reporting period at a county-level.

    Forgive me if there’s something obvious I’m missing or you’ve already explained this since I’m kind of half-asleep right now.

  • NBC,
    If you want you could go back to the 2009 prelim report and see which cities reported how many officers as that data is contained in our ranking lists. Otherwise, one off the top of my head would be Chicago with 84 officers reported within the 8.5 month recording period, or about 10 officers per month.

    As for merging the maps.. it’s what I suggested I would like to do, but in an interactive way. I don’t have the resources to do that yet but that may hopefully change someday in the future…. for now, just a pipe dream.

  • Catinthewall

    Since the donation sticky has comments locked, I’ll ask here. Which organizations have you contacted so far? Which ones haven’t responded yet, or not yet contacted? I’d think the ACLU would jump at this chance, statistics are like porn to them. :P

  • Cat,

    Thanks for the suggestion though, as far as I am aware, the ACLU does not give out grants or fellowships.

    There are other groups I have contacted or who are aware of us but aren’t currently interested in helping or don’t have funding to help the project with a grant or fellowship at this time, including the Open Society Institute, CATO, NAACP, the Heritage Foundation, and some other smaller orgs that do similar work as well.

    I’m still pressing for it, so we’ll see.

  • [...] friend pointed me toward this interesting website.  Check it out.  A grassroots project like this could only happen in the United States of [...]

  • SteveinSD

    Very interesting. I expect this will be useful to compare with other stats:
    * crime stats
    * self-reliance vs. state-reliance
    * civilian gun ownership vs. only ones
    * religion stats
    * political stats
    And on and on . . .

    I can already see some matching patterns.