This glossary helps Oakland residents, community members, and policymakers understand the language of public safety. Some of these words—like Ceasefire, ShotSpotter, or sideshows—are specific to Oakland. Others, like YTD or Part I crimes, are standard in crime data reporting. And some, like availability heuristic or signal crimes, explain something the numbers can’t: why the data and your gut may disagree.
Reading crime data honestly takes all three vocabularies. They’re organized below by the job each one does.
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Show all termsWhat the numbers say, and what they leave out.
An unlawful attack intended to cause severe bodily injury, usually involving a weapon or other means likely to produce death or serious harm. The line between aggravated assault and simple assault — a Part II crime that doesn't appear in headline figures — turns on the severity of the injury intended and whether a weapon was involved. That line is a classification judgment, which means the same incident can land in different categories.
Any willful or malicious burning, or attempted burning, of a structure, vehicle, or personal property. It is the one Part I offense that requires an investigator to determine the fire was set deliberately. Fires of undetermined cause aren't counted, which makes arson prone to undercounting.
Unlawful entry into a structure with the intent to commit theft or another felony. Force isn't required — walking through an unlocked door still counts. Burglary is a crime against a place. If a person is present and confronted with force or threat, the incident becomes a robbery instead.
The willful killing of one person by another — murder and non-negligent manslaughter. It excludes deaths caused by negligence or accident, suicides, and killings ruled justifiable. Homicide is the most reliably counted crime in any dataset, because a body is difficult to overlook. It is the one Part I offense with almost no dark figure, which is why it anchors so much crime analysis.
The unlawful taking of property without force, without threat, and without unlawful entry into a structure. It covers shoplifting, bike theft, package theft, and taking items from inside a vehicle. Under federal crime reporting, a car break-in generally counts here rather than as burglary or motor vehicle theft — the car is treated as a container, and the vehicle itself wasn't taken. California's penal code takes a different view: forcing entry into a locked vehicle is charged as burglary under Penal Code 459. The same event can be labeled differently depending on whether you're reading a criminal charge or a crime statistic.
The theft or attempted theft of a vehicle itself — not of the things inside it. Taking the car is motor vehicle theft; taking a laptop off the back seat is larceny. The two categories move independently, and conflating them is one of the more common errors in public conversation about car crime.
The FBI's newer crime reporting standard, replacing the older summary UCR system. NIBRS records details about every offense in an incident rather than only the most serious one, so it captures more. Agencies adopted it at different times, which makes comparisons across years and across cities harder than they look.
Serious offenses tracked under the FBI's Uniform Crime Reporting system: homicide, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. Oakland uses Part I crimes to track citywide safety trends. Each is defined in this section.
All other offenses reported in the UCR system, such as drug offenses, vandalism, simple assault, and disorderly conduct. These provide context but are not the city's main benchmark for safety trends — which means a great deal of what residents actually experience day to day sits outside the headline number.
Under the FBI's current definition, adopted in 2013, penetration without the consent of the victim, regardless of the victim's gender. The previous definition, in place since 1927, covered only forcible penetration of a female. The revision was a necessary correction — but it also means figures from before and after the change aren't directly comparable. It's a clean example of how a definition, not just behavior, can move a number.
Taking or attempting to take something of value from a person by force, by threat of force, or by putting the victim in fear. Robbery is a crime against a person, and confrontation is the defining element. This is the most commonly misused term in everyday speech about crime: a house broken into while no one was home is a burglary, not a robbery.
The FBI's long-running system for collecting crime data from local agencies, in place since 1930. Under its hierarchy rule, only the most serious offense in an incident is counted — a robbery that also involved an assault is recorded once, as a robbery. It is being replaced by NIBRS.
The starting point a comparison is measured against, and one of the most quietly powerful choices in any crime statistic. Compare this year to a record peak and a decline looks dramatic; compare the same figure to a record low and it looks like a spike. Neither is dishonest on its own — but the baseline is always a choice, and it should always be stated.
A single figure summarizing an entire city. Averages are useful for tracking direction over time, but they flatten the differences between blocks — a citywide decline can coexist with a corridor getting worse. Residents don't live in the average; they live on their street.
The share of reported crimes that police close, usually by arrest. A low clearance rate means most reported crimes end without anyone being held responsible, which affects both whether victims bother reporting and whether residents believe the system works at all.
A count is the raw number of incidents. A rate divides that count by population — usually expressed per 100,000 residents — so places of different sizes can be compared fairly. A large city can have a higher count and a lower rate than a small one. When a figure is quoted without specifying which it is, it's worth asking.
The gap between crime that happens and crime that gets recorded. Police data can only count what is reported, and national victimization surveys consistently find a substantial share of crime is never reported at all. This means every police statistic undercounts by a margin that is unknown and that shifts over time.
A federal survey that asks households directly about crimes they experienced, whether or not they told police. It exists precisely because police data can only see reported crime. Comparing survey results against police records is the main way researchers estimate the dark figure.
The share of crimes victims actually report to police. It varies widely by offense type and by community, and — critically — it can change over time. If reporting rises, recorded crime can go up while actual crime goes down. A number moving doesn't always mean the underlying reality moved.
When counts are small, ordinary random variation can look like a trend. A police area going from 4 incidents to 8 is a 100% increase that may mean nothing at all. This is why week-to-week and area-level percentage changes deserve more caution than citywide annual figures.
A comparison of data from the same period in two different years. Example: comparing YTD 2025 homicides to YTD 2024 homicides shows the YoY change.
A cumulative total measured from January 1 of the current year through the most recent reporting date. Example: “YTD 2025 homicides” counts all homicides from January 1, 2025, to the present.
The programs, agencies, and terms specific to how Oakland approaches safety.
Oakland's violence-reduction strategy, launched in 2012 and revitalized in 2023. Ceasefire focuses on individuals at the highest risk of involvement in shootings, combining direct communication, community support, and focused enforcement.
A City of Oakland agency created in 2017. The DVP coordinates community-based approaches to violence prevention, including street outreach, case management, and healing services. Funded in part by Measure NN.
A strategy that concentrates enforcement in geographic “hot spots” of crime. An Oakland audit in 2023 found this shift had undermined Ceasefire's original focus on people, not places. The existence of hot spots is also why citywide averages can mislead — see Citywide Average.
A community responder program that dispatches trained non-police responders to certain non-emergency calls involving mental health, homelessness, and welfare checks. Part of Oakland's effort to match the response to the situation rather than sending police to everything.
A parcel tax approved by Oakland voters in 2022. It provides sustainable funding for the DVP, Ceasefire, and other public safety initiatives.
A public safety parcel tax approved by Oakland voters in 2014, funding police staffing and violence prevention programs. Measure NN succeeded it.
The city's law enforcement agency, which partners with the DVP, Ceasefire, and community stakeholders as part of Oakland's systems-based approach to safety.
The six geographic divisions OPD uses to organize patrol and to report crime data. Area-level reports are what allow crime to be tracked below the citywide level — and what reveal how differently the same trend can land in different parts of the city.
The time it takes for police or first responders to arrive after a 911 call. Oakland tracks disparities in response times by neighborhood and by type of call. Response times shape not only outcomes but trust — the belief that help will or won't come is one of the strongest drivers of how safe people feel.
A gunshot detection system used by OPD. Acoustic sensors triangulate the location of gunfire, producing weekly reports that help track firearm activity across neighborhoods.
An Oakland-born car culture phenomenon in which drivers perform stunts such as donuts and spins, often in intersections or large parking lots, while crowds gather to watch. Though considered part of Oakland's street identity, sideshows are illegal and pose significant safety risks. They remain a recurring public safety and policing challenge. Sideshows are also a clear example of a signal crime — their impact on how safe the city feels runs far ahead of their numbers.
Oakland's public safety framework, which integrates law enforcement, public health, and prosecutorial strategies. Anchored by Ceasefire, the DVP, and partnerships with community organizations.
Community-based programs that deploy outreach workers to mediate conflicts and prevent retaliation before violence occurs. Often coordinated with the DVP.
Crime data tells you what happened. These terms explain why it may not match what you feel.
A mental shortcut in which people judge how likely something is by how easily an example comes to mind. Because vivid crime stories are memorable and statistics are not, a single shocking incident can outweigh a year of data in shaping how dangerous a place feels. First described by psychologists Amos Tversky and Daniel Kahneman in 1973.
The idea, introduced by James Q. Wilson and George Kelling in 1982, that visible disorder — graffiti, illegal dumping, broken streetlights — signals that no one is in charge, inviting further disorder. Its use as a policing strategy is heavily contested, and later research questioned whether disorder actually causes crime. Its effect on the fear of crime is better supported: disorder reliably makes people feel less safe, whether or not it makes them less safe.
The combination of social trust among neighbors and their willingness to act on behalf of the block — saying something about the dumped couch, checking on the neighbor, calling about the streetlight. Research by Robert Sampson and colleagues found it predicts neighborhood violence better than poverty or demographics do. Where it is strong, people feel safer; where it erodes, fear rises even if crime does not.
The tendency to notice and remember information that fits what we already believe, while discounting information that doesn't. A resident who believes their neighborhood is dangerous will register every incident that confirms it and wave away the report showing a decline. It is not stubbornness; it is how everyone's attention works by default.
Journalist Jane Jacobs's term for the informal safety created by ordinary people simply being present — shopkeepers, pedestrians, neighbors on porches. A busy street is watched without anyone policing it. When foot traffic thins and storefronts close, that informal guardianship disappears, and the street can feel dangerous even at unchanged crime levels.
Two different things that are easily confused. Risk is the statistical likelihood of being victimized. Fear is how unsafe a person feels. They move independently: fear can rise while risk falls, and the people at greatest risk are not always the most afraid. Most public argument about crime treats the two as interchangeable, which is why the argument rarely gets anywhere.
The long-observed finding that the groups least likely to be victimized often report the most fear, while the groups most likely to be victimized often report less. It looks irrational until you account for vulnerability — fear tracks what a person stands to lose and whether they could recover, not just the odds of it happening.
A period of intense public alarm about a threat, in which the reaction outruns the thing being reacted to. Coined by sociologist Stanley Cohen in 1972. Naming a moral panic doesn't mean the underlying problem is fake — it means the volume of concern has detached from the scale of the problem, usually with help from media coverage and political incentives.
The disconnect between official crime data and how safe residents feel. The gap is not a sign that residents are misinformed; it means their sense of safety is responding to things the numbers don't measure — their own vulnerability, the character of the crime, the condition of their street, and their trust in the institutions meant to protect them.
Criminologist Martin Innes's term for incidents that carry meaning far beyond their own numbers — they act as signals about how safe a place is. A single daytime carjacking or a sideshow shutting down an intersection tells residents something about the state of order, and that message travels much further than the incident count. This is why crime totals can fall while fear climbs.
Fear that comes from hearing about crime rather than experiencing it. Neighborhood apps, group chats, and local news deliver a continuous stream of other people's incidents, and the anxiety they produce is real even for residents who have never been victimized. A single street can feel like a crime wave when every incident on it is broadcast to everyone on it.
Two factors shaping how threatening a given risk feels. Physical vulnerability — age, gender, disability, health — is about whether you could avoid or survive an incident. Social and economic vulnerability is about whether you could absorb the loss: a stolen car is an inconvenience for one household and a job lost for another. The same block, the same odds, two entirely different levels of fear.