Ask what a gate buys and you will get two confident answers, both unsourced. One says a gated community is dramatically safer, which is the answer that sells the house. The other says gates are theater and a determined crew walks in behind a delivery van, which is the answer that sells the alarm system.
There is a number. It comes from the Bureau of Justice Statistics, it is built on the National Crime Victimization Survey, and as far as I can find it has been published exactly once, in a 2013 special report covering 1994 through 2011.
What the table says
BJS added questions about structural characteristics of the residence in 2004, and pooled 2004 through 2011 to get stable estimates. Rates are completed burglaries per 1,000 households per year.
- Gated or walled community: 20.1. Not in one: 24.9.
- Restricted access (an apartment or condominium building with a doorman or reception desk): 22.3. Without: 24.7.
So a gate or wall is associated with roughly a fifth fewer completed burglaries. A doorman, the more expensive and more human control, is associated with about a tenth fewer, which is a genuinely surprising ordering and one I would not have predicted.
Both effects are real and both are small. Neither is anywhere near the protective factor the marketing implies, and neither is zero, which is what the cynical version implies. If you were hoping the data would settle the argument decisively for one side, it declines to.
Now the caveats, because they are load-bearing. This is a survey, so "gated community" means whatever the person answering the phone thought it meant, and that single category has to hold an unmanned subdivision gate that lifts for any car and a staffed estate compound with plate capture and a perimeter. Those are not the same product and the survey cannot separate them. The estimates are also averages over 2004 to 2011, which makes them fifteen to twenty years old, and BJS has not published a comparable breakout since. I looked.
The part that reorders the picture
The same report breaks completed burglary out by household income, and this is the only federal table I know of that does it. In 2011:
- Households earning $14,999 or less: 45.1 per 1,000
- $15,000 to $34,999: 29.7
- $35,000 to $49,999: 22.4
- $50,000 to $74,999: 16.6
- Households earning $75,000 or more: 12.7 per 1,000
The lowest-income households were burgled at more than three and a half times the rate of the highest-income households. BJS states it flatly: in 1994, 2001 and 2011, households with an income of $14,999 or less were victimized at a higher rate than households with higher incomes.
And the trend is steeper than the level. From 1994 to 2011 the largest decline in completed burglary, 74 percent, occurred in households earning $75,000 or more, from 48.2 per 1,000 down to 12.7. In 1994 affluent households were burgled at close to the national rate. By 2011 they were the safest group in the survey, by a wide margin, and they got there faster than anyone else.
Owning rather than renting shows the same direction: 18.3 per 1,000 for owners against 32.7 for renters.
Whatever the last three decades of residential security spending bought, this is the closest thing to a receipt that exists in federal data. It is also a direct contradiction of the premise underneath most luxury security marketing, which is that wealth attracts burglary. By incidence, at the national level, wealth is the strongest protective correlate in the table.
Where the number stops being useful
Here is where I have to argue against my own good news, because a rate is a fraction and this one counts the wrong thing for the question most estate owners are actually asking.
It counts events, not losses. A stolen laptop and a cleaned-out safe are one victimization each. The same report gives the loss distribution, and it is humbling: the median value of items and cash stolen in a completed burglary was $600 in 2011, up 54 percent from $389 in 1994. That is the middle of the national distribution. The break-in that keeps a family-office client awake is somewhere far out in a tail this statistic is designed to average away.
The insurance figures make the point sharper. In 2011, 35 percent of burglarized households that lost $1,000 or more reported it to an insurance company, while fewer than 5 percent of those losing $1 to $499 did. Reporting behavior is a function of loss size, which means every downstream dataset built on reports is shaped by how much was taken.
Most of it never reaches police anyway. In the current data, the 2024 NCVS bulletin published last September, burglary victimizations split 3.4 per 1,000 households reported to police against 4.8 not reported. Roughly two in five. The 2013 report puts the reporting rate for completed burglaries higher, 58 percent in 2011 against 51 percent in 1994, and adds the number that explains why so many people bother: among completed burglaries reported to police, about 10 percent resulted in an arrest in 2011, against 8 percent in 1994.
And nobody publishes the cut you want. The current bulletin does break victimization out by household income, but only for violent crime. Property crime gets no income table at all. There is no federal statistic for the burglary rate of high-net-worth households, none for estates, none for second homes as a class. So when a security vendor tells you targeted break-ins at high-value properties are up some dramatic percentage, that figure is not coming from the national system, because the national system does not measure it. It is coming from a local agency, a company's own claims, or nowhere.
A nationally representative household survey cannot resolve a crew working one metropolitan area. That is not a flaw in the survey. It is what "national estimate" means. Both things stay true at once: burglary is low and flat nationally, and a specific crew working a specific canyon is a real, ongoing, local emergency for the people in it.
One more, in fairness, because it is the only affluence signal in the current data and it points the other way. Violent victimization in households earning $200,000 or more rose from 15.7 per 1,000 in 2023 to 22.1 in 2024, and violent crime excluding simple assault from 4.0 to 8.0. Read that carefully before anyone builds a campaign on it: it is violent crime, not burglary, it is a single-year change, and BJS flags it as significant only at the 90 percent confidence level, the weaker of the two thresholds it uses. It is worth watching for a second year. It is not yet a trend.
What a gate is actually for
Twenty percent is a strange number to defend and a strange number to dismiss. I think it is the right number, and that the confusion comes from expecting a gate to be a wall.
A gate is not a barrier. It is a channelizer and a clock. It removes the casual approach, forces traffic to a small number of known routes, and buys time between decision and contact. That profile filters exactly the population the data says it filters: the opportunist who had not settled on your house in particular. Against someone who has already chosen the address, it does close to nothing, because it was never denying entry, only taxing it.
Which means a gate's real security value lives entirely in what it makes possible downstream. A channelized approach is where you get a clean plate read, a clean face, a timestamp, and a known direction of travel. If nothing is watching that funnel, or if what is watching cannot get a human to respond, you have bought the tax without collecting it. That is the same failure I keep finding in this beat: equipment that detects without anyone obligated to act, and the response assumption that turns out not to hold.
So the practical read, if you are specifying one: treat the gate as a sensor and a delay budget, not as a perimeter. Ask how many seconds it actually adds, what gets captured in those seconds, who sees the capture, and what they are contractually required to do about it. A gate that adds twelve seconds and produces a legible plate is worth more than a taller gate that produces a blurred one.
I help design the AI security systems for a veteran-owned (SDVOSB) luxury home-security company run by fellow veterans; I do not own it and earn nothing from this link. Full policy here. I am flagging it because the channelizing argument above is the one I make when we are laying out a property, and you should know I have a hand in that work when you read me making it.
The signal
The honest summary is unsatisfying in both directions, which is usually how you know it is the real one.
Gated communities did measure safer, by about a fifth, in the only national dataset that ever checked, using an eight-year sample that is now well over a decade old and a definition loose enough to hold a subdivision gate and an estate compound in the same bucket. Doormen did less than gates. Affluent households, by count, are burgled least, and their rate fell furthest.
None of that measures the thing an estate owner is actually buying against, because the national instrument counts break-ins rather than losses, misses the three in five that never reach police, and has no category for a house worth twenty million dollars. The absence of a number is not evidence that the risk is absent. It is evidence that nobody is counting it.
So use the federal data for what it is good at, which is deflating both sales pitches, and then do the specific work. A gate buys you seconds and a funnel. Everything that matters is what you put at the end of the funnel.
Sources
- Jennifer Hardison Walters, Andrew Moore and Marcus Berzofsky (RTI International) and Lynn Langton (BJS), "Household Burglary, 1994–2011," U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, Special Report, June 2013, NCJ 241754, 18 pp. (PRIMARY. Downloaded as a PDF and extracted locally. Source for Table 6, the 2004–2011 structural characteristics: gated or walled community 20.1 against 24.9 per 1,000 households, restricted access 22.3 against 24.7. Source for Table 5, completed burglary by household characteristics in 1994, 2001 and 2011: the full 2011 income ladder from 45.1 per 1,000 at $14,999 or less down to 12.7 at $75,000 or more, the 74% decline in the $75,000-or-more bracket from 48.2 in 1994, and owner 18.3 against renter 32.7. Source for the highlights quoted above: that households earning $14,999 or less were victimized at a higher rate than households with higher incomes in all three years; the median value of items and cash stolen rising 54% from $389 to $600; 58% of completed burglaries reported to police in 2011 against 51% in 1994; roughly 10% of reported completed burglaries resulting in arrest in 2011 against 8% in 1994; and the insurance reporting split of 35% for losses of $1,000 or more against under 5% for losses of $1 to $499.)
- Susannah N. Tapp and Emilie J. Coen, "Criminal Victimization, 2024," Bureau of Justice Statistics, Bulletin, September 2025, NCJ 310547, 37 pp. (PRIMARY. Downloaded as a PDF and extracted locally. Source for the current figures: burglary reported to police at 3.4 per 1,000 households against 4.8 not reported (table 6); and the household-income breakdowns in tables 3 and 15, which cover violent victimization only, including the increase for households earning $200,000 or more from 15.7 to 22.1 per 1,000 for total violent crime and 4.0 to 8.0 for violent crime excluding simple assault, both flagged by BJS as significant at the 90% confidence level. Confirmed directly against the report that it publishes no household-income breakdown for property crime of any kind.)
- U.S. Department of Justice press releases on recent multistate residential burglary indictments. (NOT AVAILABLE. Every attempt to fetch justice.gov returned an automated bot-verification interstitial rather than the release text. No claim in this report rests on any specific case, indictment, crew, or incident. The statement that a national survey cannot resolve a localized crew is a structural point about survey design, not a characterization of any particular investigation.)
Scope note: all rates above are victimizations per 1,000 households per year from the National Crime Victimization Survey, a self-report survey of households, and they measure incidence rather than loss value. The gated-community and restricted-access estimates are annual averages over 2004 to 2011 and rest on respondents' own description of their residence, a category broad enough to include an unstaffed subdivision gate and a staffed estate perimeter; BJS has not published a comparable breakout since, so no current equivalent figure is offered here. Association is not causation: households in gated communities differ from other households in income, tenure and location, and this report does not attempt to isolate the effect of the gate itself. This is general security analysis, not a risk assessment of any specific property, community, or product.
Onur Oncer
U.S. Army combat veteran (Counter-IED / Electronic Warfare), peer-reviewed researcher in microwave spectroscopy, and founder & CEO of Shroombiosis. Consults on laboratory operations, AI, and supplement formulation.