In Shaw and McKay's account, which three structural conditions characterized the Chicago areas with persistently high rates of delinquents?
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Criminal Justice & Criminology · Criminology
Social Disorganization
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Social disorganization The condition in which a community's institutions, including families, schools, congregations, local government, and local employers, cannot effectively regulate the behavior of the people who live there. Full entry → theory explains why crime concentrates in particular places rather than in particular kinds of people. Shaw and McKay found that the same Chicago areas held high delinquency rates for three decades while the populations living in them turned over completely. Their explanation was structural: poverty, high residential turnover, and rapid population change weaken a community's capacity to supervise itself. The modern successor to that idea is Collective efficacy Social cohesion among neighbors combined with their willingness to intervene on behalf of the common good; the construct introduced by Sampson, Raudenbush, and Earls in 1997. Full entry →.
Why this matters
This is the theory that moved criminology from asking who offends to asking where offending concentrates and why, and it is the direct ancestor of nearly every neighborhood-level explanation you will meet later, in sociology, public health, and economics as well as criminology. It is also the cleanest case study available for a skill your courses keep testing: separating a Compositional explanation An account that attributes an area's rate to the characteristics of the individuals who happen to live there, as opposed to a contextual account that attributes it to the setting itself. Full entry →, in which a place has high rates because of who lives there, from a contextual one, in which something about the place is doing the work. Shaw and McKay's data force that distinction on you. How much they actually proved, and how much later research has managed to prove, is still an open argument worth being able to reconstruct.
The college version
Kinds of places, not kinds of people
In the 1920s and 1930s the University of Chicago's sociology department treated the city as an ecological system. Robert Park argued that cities of similar size reproduce the same recurring types of area as they expand, and that these 'natural areas' show similar physical and social characteristics from one city to the next. Ernest Burgess turned that observation into a model: in the absence of countervailing forces, an American city grows outward in concentric zones. Zone I is the central business and industrial district. Zone II is the Zone in transition The ring immediately outside a city's business core, where housing sits in the path of encroaching industry, is held for its future commercial value rather than maintained, and turns over its residents rapidly. Full entry →, residential property in the path of encroaching business and industry. Zone III holds workingmen's homes, Zone IV is the residential zone, and Zone V is the outer commuters' zone beyond the city limits. Because inner zones expand into the next zone out, the zone in transition is permanently unsettled: property there is held for its future industrial value, not maintained for its residents, and the people who live there are the ones with the fewest options about where to live. The intellectual move that matters is the change of unit. Earlier positivist criminology compared offenders with non-offenders and looked for differences inside people. The Chicago School compared areas with areas and looked for differences between places.
What Shaw and McKay measured
Clifford Shaw and Henry McKay, both trained under Burgess, plotted the home addresses of boys referred to the Chicago juvenile court and computed rates of delinquents by area for three separate periods: 1900-1906, 1917-23, and 1927-33. They also assembled rates for commitments, police arrests, truancy, adult crime, infant mortality, tuberculosis, and mental illness, and compared them area by area against economic and demographic data. They were careful about the measure. Court referrals are an index of officially proscribed activity, not an enumeration of it; the authors said so explicitly and refused to use their rates as an index of general problem behavior. What they found was that the high-rate areas clustered in and around the zone in transition, that the same areas also carried the highest concentrations of condemned buildings, welfare receipt, lowest median rents, and lowest rates of home ownership, and that these were the areas losing population as industry moved in. The correlation of delinquency with disadvantage was not surprising. The finding that made the theory was what happened to those area rates over time, and it is the subject of the worked example below.
The mechanism: three conditions and a lost capacity
Shaw and McKay's explanation ran through the community, not through the individual. Three structural conditions characterized the high-rate areas: low economic status, high residential mobility, and ethnic heterogeneity, meaning a population composed of many recently arrived groups in the middle of being replaced by other recently arrived groups. Those conditions were said to interfere with a community's ability to agree on and enforce shared standards of conduct. When households are poor, when a large share of them move within a few years, and when neighbors speak different languages and belong to different institutions, the ordinary machinery of neighborhood supervision does not assemble: adults do not know which children belong to whom, do not know one another well enough to intervene, and do not sustain the local organizations that would coordinate them. That is what social disorganization means in this literature. It does not mean moral disorder, disorderly conduct, or the absence of social life. It names the inability of a community's social institutions, family, school, religion, government, and economy among them, to regulate the behavior of its members. The structural conditions are the antecedents; weakened Informal social control Regulation of behavior by ordinary residents rather than by police or courts: watching children who are not your own, questioning a stranger, breaking up a fight, calling a neighbor's parent. Full entry → is the mechanism; higher rates of delinquency are the outcome.
From disorganization to social ties: the systemic reformulation
For roughly half a century the theory's mechanism was inferred rather than measured. Researchers observed the structural conditions and the crime rates at either end and assumed the control failure in the middle. That gap is what the systemic reformulation closed. Instead of treating a community as a zone on a map, it treats it as a system of relationships: friendship and kinship networks, the supervision of adolescent peer groups, and participation in local organizations. Those are things you can go and measure. Robert Sampson and W. Byron Groves gave the theory its first direct test on that basis in 1989. They hypothesized that low economic status, ethnic heterogeneity, residential mobility, and family disruption produce social disorganization, and they operationalized social disorganization as local friendship networks, the control of street-corner teenage peer groups, and the prevalence of organizational participation. Using the 1982 British Crime Survey they analyzed 238 localities built from responses of 10,905 residents, then replicated the model on an independent 1984 sample of 11,030 residents in 300 localities. Both tests supported the theory: between-community variation in social disorganization carried much of the effect of the structural characteristics on rates of victimization and of offending. The mediator was no longer an assumption.
Collective efficacy
The modern successor concept arrived in 1997, when Sampson, Stephen Raudenbush, and Felton Earls published a multilevel study of Chicago neighborhoods in Science. Their construct was collective efficacy, defined as social cohesion among neighbors combined with their willingness to intervene on behalf of the common good. Both halves are load-bearing. Cohesion without willingness to act is sociability; willingness to act without cohesion is unlikely to materialize, because people do not intervene where the rules are unclear and neighbors mistrust each other. The design: a 1995 survey of 8,782 residents distributed across 343 Chicago neighborhoods, analyzed with multilevel models that separate variation between neighborhoods from variation between individuals. The measure achieved high between-neighborhood reliability. Collective efficacy was negatively associated with violence with individual-level characteristics, measurement error, and prior neighborhood violence controlled, and the associations of Concentrated disadvantage The clustering in the same areas of poverty, unemployment, reliance on public assistance, and related structural deficits, treated in contemporary research as a single measured dimension of neighborhood context. Full entry → and residential instability with violence were largely mediated by collective efficacy. That last clause is the theoretical payoff: it is the same structure Shaw and McKay proposed, with the mediator measured directly. Note also what collective efficacy is not. Reviews of this literature find that the association between neighborly ties and crime is itself largely mediated by cohesion and informal control, and holds only for certain patterns of ties. Density of acquaintance is not the variable; activation toward shared expectations is.
What the evidence supports, and what it does not
Neighborhood-effects research is strong on association and much weaker on causation, for a reason that has nothing to do with sloppiness. Families are not randomly assigned to neighborhoods. They sort into them by income, by race in a segregated housing market, by where their relatives already live. So an area difference in delinquency may reflect an effect of the area, or the composition of the families who ended up there, or both. Reviewers of this literature describe that selection problem as probably the biggest challenge the field faces, and note that the sorting itself runs on the same variables the theory is interested in. The strongest attempt to break the loop is Moving to Opportunity, a HUD demonstration authorized by Congress in 1992 and launched in 1994. Between 1994 and 1998 it enrolled 4,604 low-income households with children living in high-poverty public and assisted housing in Baltimore, Boston, Chicago, Los Angeles, and New York, and randomly assigned them to one of three groups: an experimental group given vouchers usable only in census tracts with 1990 poverty below ten percent, plus mobility counseling; a group given ordinary unrestricted Section 8 vouchers; and a control group. Ten to fifteen years later the final evaluation found sustained improvements in housing quality, neighborhood poverty, and perceived safety; lower rates of extreme obesity, diabetes, psychological distress, and major depression among adults; no detectable impacts on adult work, earnings, or other economic outcomes; few statistically significant impacts on educational outcomes; and few on risky and criminal behavior, with signs of a gender difference among youth and some indication that drug-selling arrests declined. It is worth being precise about what this does and does not settle. It does not show that neighborhoods are irrelevant, and the same evaluation reported that MTO moved families into neighborhoods whose residents were more willing to work together to support shared norms. It does show that changing neighborhood poverty by the amount a voucher program can change it did not move earnings or test scores. And even where MTO found effects, it cannot say which neighborhood feature produced them, because moving changes many neighborhood variables at once and the experiment randomized vouchers, not neighborhood conditions.
Reading ethnic heterogeneity carefully
Ethnic heterogeneity is the variable in this theory most often misread, and the misreading inverts the argument. Shaw and McKay measured the nationality and nativity composition of Chicago areas because composition was one of the things that distinguished the zone in transition, and they treated rapid turnover in that composition as an obstacle to building shared expectations. They did not treat any group as prone to crime, and their own data are why. When they standardized rates to remove the effect of where groups were concentrated, the Italian rate fell from 7.06 to 4.29 and the Polish rate from 4.58 to 3.99 while the rate for all other groups rose from 2.94 to 3.23. They concluded that race, nativity, and nationality are not by themselves vitally related to delinquency, and that the higher recorded rates for particular groups tracked those groups' distribution across the city. McKay's 1969 update made the point again from the other direction: in Chicago the communities with the sharpest relative increases in delinquency rates and the communities with comparably sharp decreases were both predominantly Black. Later work has criticized the variable itself. In American cities heterogeneity was never independent of poverty and segregation, so its separate contribution is very hard to identify, and the association did not replicate everywhere; the 1969 edition's own introduction records that the delinquency-to-foreign-born association was absent in Baltimore and Indianapolis and slightly negative in Detroit. Contemporary neighborhood research has largely replaced it with concentrated disadvantage and residential instability, which is what the 1997 Chicago study measured. In a later Chicago study of 2,974 people aged 8 to 25 across 180 neighborhoods, more than sixty percent of the Black-White gap in perpetrating violence and the entire Latino-White gap were accounted for primarily by parents' marital status, immigrant generation, and features of neighborhood social context. This lesson is educational material about a body of research. It is not legal advice, and it takes no position on housing, policing, or criminal justice policy.
Eli explains
The same idea, in plain words
Explain it like I’m 10
Imagine a street where a lot of grown-ups know each other and know the kids. If two children start a fight outside, somebody's neighbor walks over and stops it, and probably mentions it to a parent later. Now imagine an identical street where almost everyone moved in within the last two years, nobody knows whose kid is whose, and half the neighbors are not sure the others would back them up. The same fight happens and nobody moves. Nothing about the children is different. What is different is whether the street can do anything. Social disorganization theory says that trouble builds up in the second kind of street, and that streets get that way because of things residents did not choose: cheap deteriorating housing, constant moving in and out, and no time for people to become familiar enough to act together.
Picture it like this
Think of a neighborhood as a smoke detector. A working detector does not stop fires from starting; it catches small ones early, while they are still nothing. A dead one lets the same small fire become a large one. Shaw and McKay's claim was that certain conditions drain the battery, and that the fires you eventually see are mostly telling you which detectors are dead.
Where the picture stops working
The analogy oversells how mechanical this is. A smoke detector either works or does not; a neighborhood's capacity varies by situation, by who is watching, and by whether residents trust that intervening is safe. A detector is also installed by someone else, while collective efficacy is produced by residents and shaped by outside forces such as housing markets, employment, and public investment. And smoke detectors do not choose which houses to live in. People do, which is exactly why proving that the neighborhood rather than its residents caused the difference is so hard.
Worked example
Here is the finding that made the theory, worked through the way Shaw and McKay built it. Step one: divide Chicago into areas and compute a delinquency rate for each, three times over, from three separate periods of juvenile court records: 1900-1906, 1917-23, and 1927-33. Step two: rank the areas within each period. Of the 25 areas with the highest rates in 1900-1906, 19 were still among the 25 highest in 1917-23, and 18 were still among the 25 highest in 1927-33. Step three: correlate the rates directly. Across the same 106 areas, the 1900-1906 rates correlate with the 1917-23 rates at .85, and with the 1927-33 rates at .61, over gaps of roughly twenty and thirty years. Step four, and this is the step students skip: ask who was living in those areas during those thirty years. In several of the persistently high-rate neighborhoods the nationality composition of the population had changed completely. One immigrant group moved in, its children appeared in the court records, the group prospered and moved out, its children disappeared from the court records, and a newer group took its place and repeated the sequence. Now put the two facts together. If the population changed and the rate did not, the rate cannot be a property of the population. That is the argument. It is inference from a natural experiment rather than proof, and it does not establish which feature of those places was responsible, but it is the reason the field started asking about places at all.
Key takeaway
Social disorganization theory holds that structural conditions in a place weaken residents' collective capacity to regulate behavior, and that this, rather than anything about who the residents are, is what concentrates crime; its decisive evidence is the persistence of Chicago area rates through complete population turnover, and its unfinished business is proving that the place, and not the sorting of people into places, is doing the work.
Quick check
3 questions here, of 5 in this lesson’s practice set. Answers stay hidden until you check.
Why was the stability of Chicago area delinquency rates across the 1900-1906, 1917-23, and 1927-33 series treated as decisive support for a place-based explanation?
Choose an answer, then check it.
How did Sampson, Raudenbush, and Earls define collective efficacy in their 1997 Science study?
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Study tools & related lessonsYou’ll learn to · Common mistakes · Easily confused · Key vocabulary · Related
You’ll learn to
- Define social disorganization and informal social control, and explain how the Chicago School's ecological approach differed from theories of individual difference.
- Explain what Shaw and McKay measured in Chicago and why the persistence of area rates through population turnover was the decisive evidence for their argument.
- Distinguish the three structural antecedents of social disorganization from the mechanism they were said to operate through.
- Define collective efficacy precisely and describe the design and findings of the 1997 Chicago study that introduced it.
- Evaluate why neighborhood-effects research is strong on association and weak on causation, using the Moving to Opportunity experiment as the test case.
- Analyze the ethnic heterogeneity variable as a historical measurement, and explain why the theory's own evidence rules out treating any group as criminogenic.
Common mistakes
Reading social disorganization as disorder, decay, or moral collapse, and treating boarded-up buildings or graffiti as the theory's subject matter.
The term names a capacity, not an appearance. It refers to a community's inability to regulate its members' behavior through its own institutions. Visible disorder may be a symptom or a separate outcome, but it is not what the concept denotes.
Concluding that Shaw and McKay identified certain immigrant or racial groups as producing crime, because their high-rate areas held concentrations of foreign-born and Black families.
The reverse is what their data showed. Rates stayed put in the areas while the groups occupying them turned over; standardizing for area distribution cut the Italian rate from 7.06 to 4.29 and the Polish rate from 4.58 to 3.99; and McKay's 1969 update found the sharpest increases and the sharpest decreases in Chicago both occurred in predominantly Black communities. Their own conclusion was that race, nativity, and nationality are not by themselves vitally related to delinquency.
Equating collective efficacy with friendliness, dense acquaintance networks, or how many neighbors know each other's names.
It is cohesion plus willingness to intervene for the common good. Reviews of the literature find that the association between neighborly ties and crime is largely mediated by informal control and cohesion, and holds only for certain patterns of ties. Ties that are never activated do not do the work.
Treating the strong and repeatedly replicated correlation between neighborhood disadvantage and crime as established evidence that neighborhoods cause crime.
Families sort into neighborhoods on the same variables the theory cares about, so association and causation are hard to separate. The randomized Moving to Opportunity experiment found real effects on safety and adult health but no detectable effects on earnings or test scores, and even its positive findings cannot identify which neighborhood feature produced them.
Using an area-level rate to say something about an individual who lives in that area.
That is the ecological fallacy. Shaw and McKay themselves noted that variation within any nativity, nationality, or racial group across the city was as large as variation among areas. A rate describes an area; it predicts nothing about a particular resident.
Easily confused
Social disorganization vs. Strain theory
Both are structural theories about why rates differ, but they locate the problem differently. Social disorganization asks about a community's capacity to regulate conduct. Strain asks about the gap between culturally promoted goals and legitimate means of reaching them. The strain lesson develops that argument.
Compositional explanation vs. Contextual explanation
A compositional account says an area's rate is high because of the characteristics of the people who live there; a contextual account says the setting itself contributes. The persistence of Chicago area rates through complete population turnover is an argument against the purely compositional reading.
Social ties vs. Collective efficacy
Ties describe how many relationships exist among neighbors; collective efficacy describes whether cohesion and shared expectations make residents willing to act. A well-connected neighborhood whose residents will not intervene has ties without efficacy.
Observational neighborhood research vs. The Moving to Opportunity experiment
Observational studies measure many neighborhood processes but cannot rule out that families selected into their neighborhoods; MTO randomized the offer of a voucher and so broke the selection problem, but it randomized an offer rather than neighborhood conditions, and so cannot identify which feature of a neighborhood matters.
Key vocabulary
- Social disorganization
- The condition in which a community's institutions, including families, schools, congregations, local government, and local employers, cannot effectively regulate the behavior of the people who live there.
- Informal social control
- Regulation of behavior by ordinary residents rather than by police or courts: watching children who are not your own, questioning a stranger, breaking up a fight, calling a neighbor's parent.
- Concentric zone model
- Burgess's schematic account of urban growth, in which a city expands outward in rings from a central business and industrial core, each ring invading the next as it grows.
- Zone in transition
- The ring immediately outside a city's business core, where housing sits in the path of encroaching industry, is held for its future commercial value rather than maintained, and turns over its residents rapidly.
- Collective efficacy
- Social cohesion among neighbors combined with their willingness to intervene on behalf of the common good; the construct introduced by Sampson, Raudenbush, and Earls in 1997.
- Concentrated disadvantage
- The clustering in the same areas of poverty, unemployment, reliance on public assistance, and related structural deficits, treated in contemporary research as a single measured dimension of neighborhood context.
- Systemic model of community
- An approach that treats a locality as a network of friendship and kinship ties, peer-group supervision, and organizational participation, so that its capacity for regulation can be measured rather than inferred.
- Compositional explanation
- An account that attributes an area's rate to the characteristics of the individuals who happen to live there, as opposed to a contextual account that attributes it to the setting itself.
- Selection bias
- Distortion that arises when the people observed in a setting are there for reasons related to the outcome being studied, so a difference between settings may reflect who sorted into them.
- Ecological fallacy
- The error of inferring something about an individual from a statistic computed for the group or area that individual belongs to.
Sources & references
- Juvenile Delinquency and Urban Areas: A Study of Rates of Delinquency in Relation to Differential Characteristics of Local Communities in American Cities (revised edition, 1969), with a new introduction by James F. Short, Jr. — Clifford R. Shaw and Henry D. McKay (University of Chicago Press)
- 5.8. The Chicago School, in SOU-CCJ230 Introduction to the American Criminal Justice System — Brian Fedorek, in Burke, Carter, Fedorek, Morey, Rutz-Burri & Sanchez (Open Oregon Educational Resources / Pressbooks)
- Community Structure and Crime: Testing Social-Disorganization Theory, American Journal of Sociology 94(4):774-802 (January 1989) — Robert J. Sampson and W. Byron Groves (University of Chicago Press)
- Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy, Science 277(5328):918-924 (15 August 1997) — Robert J. Sampson, Stephen W. Raudenbush and Felton Earls (American Association for the Advancement of Science)
- Assessing 'Neighborhood Effects': Social Processes and New Directions in Research, Annual Review of Sociology 28:443-478 (2002) — Robert J. Sampson, Jeffrey D. Morenoff and Thomas Gannon-Rowley (Annual Reviews)
- Moving to Opportunity for Fair Housing Demonstration Program: Final Impacts Evaluation - Executive Summary (November 2011) — U.S. Department of Housing and Urban Development, Office of Policy Development and Research
- Moving To Opportunity (program overview and reports index) — U.S. Department of Housing and Urban Development, HUD USER
- Social Anatomy of Racial and Ethnic Disparities in Violence, American Journal of Public Health 95(2):224-232 (February 2005) — Robert J. Sampson, Jeffrey D. Morenoff and Stephen Raudenbush (American Public Health Association)
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Researched 2026-08-19
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