Punishing Places
The Geography of 
Mass Imprisonment

Appendix


Additional data and results tables for Punishing Places: The Geography of Mass Imprisonment.


Descriptive Statistics of Massachusetts Census Tracts

Measures

Tract violent crime rate (per 1,000)
Tract drug arrest rate (per 1,000)
Concentrated disadvantage (score)
   Family poverty (%)
   Adults less than HS degree (%)
   Female-headed households (%)
   Civilians unemployed (%)
   Public assistance income (%)
Foreign born (%)
Hispanic/Latino (%)
Non-Hispanic Black (%)
Non-Hispanic other race (%)
New residents (%)
Mean

4.7
3.3
.0
8.7
13.1
25.5
7.2
16.0
14.7
9.5
6.4
4.8
24.7
Median

2.2
1.7
-.4
4.4
9.2
20.5
5.9
8.8
11.4
3.6
1.9
2.4
22.3
S.D.

6.6
5.9
1.0
11.1
11.4
18.4
5.1
18.3
11.5
15.2
12.6
6.7
11.6


Note: Units are census tracts. N=1,464. Source: Author’s compilation of census and crime records.

Concentrated Disadvantage Measures

Measures

Family poverty
Adults less than HS degree
Female-headed family households
Civilians unemployed
Households with public assistance income
Factor score

.85
.77
.84
.63
.90

Note: Factor regression score from orthogonal rotated factor pattern of census tract concentrated disadvantage measures. Reported loadings >.60. Source: Author’s compilation of 2005-2009 American Community Survey estimates.

Distribution of Spatial Indicators in Massachusetts

Geographic Area

Boston
Greater Boston suburbs
Small cities
Surburbs and rural towns
% of Census Tracts

11.5
17.3
20.8
50.4

Note: Percentages indicate the portion of census tracts falling inside the given regional area. Units are census tracts N=1,464. Source: Author’s tabulation of spatial areas.

The Urban Model: Regression Analysis



Spatial lag of prison admissions


Log drug arrest rate


Log violent crime rate


Concentrated disadvantage score


Proportion non-Hispanic Black


Proportion Latino


Proportion other race


Proportion foreign born


Proportion new residents


Greater Boston suburbs


Small cities


Suburbs and rural towns


Constant


N census tracts
Pseudo R-squared
(1)

.291***
(.04)

-.007
(.03)

.286***
(.03)

.481***
(.04)

.851***
(.16)

-.223
(.22)

-1.243***
(.32)

.067
(.25)

.923***
(.17)










-7.512***
(.09)

1,314
.599
(2)

.249***
(.04)

.029
(.03)

.231***
(.03)

.436***
(.04)

.765***
(.18)

-.234
(.21)

-1.205***
(.31)

-.170
(.25)

.780***
(.18)

-.134*
(.07)

.203***
(.07)

-.272***
(.08)

-7.190***
(.13)

1,314
.655



Note: Results from negative binomial regression analysis of census-tract level prison admissions (2009-2017). ***p<.01. Source: Author’s compilation of census, crime, and prison admission recors. 
Small Cities and Mass Incarceration: Regression Analysis



Proportion non-Hispanic Black


Proportion Latino


Concentrated disadvantage


Proportion vacant housing


Log violent crime rate


Uniformed officers rate


Small cities


Suburbs and rural towns


Constant


City-year observations
Pseudo R-squared
1997-2006

1.826***
(.57)

1.018***
(.32)

.188***
(.03)

-.581*
(.31)

.084***
(.03)

.581***
(.04)

.577***
(.08)

.102
(.06)

-1.287***
(.18)

951
.379
2007-2017

1.308***
(.34)

.270
(.23)

.142***
(.03)

1.010***
(.27)

.232***
(.02)

.560***
(.03)

.627***
(.07)

.025
(.06)

-2.019***
(.17)

1,074
.504


Note: Results from linear regression analysis of log prison admission rates in Massachusetts cities by time period, 1997-2017. Units are cities/towns. ***p<.01. Source: Author’s compilation of census, police employment, crime, and prison records.

Community Loss: Regression Analysis





Proportion non-Hispanic Black


Proportion Latino


Proportion other race


Concentrated disadvantage


Proportion vacant housing


Greater Boston suburbs


Small Cities


Suburbs and rural towns


Constant


City observations
City-year observations
Pseudo R-squared
Minimum Community Loss

2.442***
(2.96)

.279
(.51)

-1.266
(.92)

.553***
(8.54)

1.456**
(2.58)

-.0940
(.62)

.674***
(5.49)

-.0347
(.20)

1.426***
(7.39)

325
1,874
.339
Maximum Community Loss

2.209***
(2.60)

.0781
(.14)

-2.068
(1.47)

.590***
(8.77)

1.263**
(2.18)

-.0487
(.31)

.720***
(5.55)

.0882
(.50)

1.668***
(8.43)

325
1,874
.368
Prison Admissions


1.086
(1.75)

.119
(.33)

-1.936**
(1.97)

.350***
(6.54)

.753
(1.75)

-.0513
(.45)

.512***
(5.33)

.192
(1.43)

.899***
(6.55)

325
1,874
.421

Note: Results from linear regression analysis of community loss and prison admission in Massachusetts cities, 1997-2009. Units are cities/towns. Absolute t statistics in parentheses. **p<.05; ***p<.01. Models include fixed effects for year, and SEs are ajdusted for clustering by city. Source: Author’s compilation of cenus and prison records.
Punishing Places
The Geography
of Mass Imprisonment

Jessica T. Simes


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Punishing Places applies a unique spatial analysis to mass incarceration in the United States. It demonstrates that our highest imprisonment rates are now in small cities, suburbs, and rural areas. Jessica Simes argues that mass incarceration should be conceptualized as one of the legacies of U.S. racial residential segregation, but that a focus on large cities has diverted vital scholarly and policy attention away from communities affected most by mass incarceration today.

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