-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathchicago1.txt
86 lines (73 loc) · 4.02 KB
/
chicago1.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
race fire theft age volact involact income
60626 10 6.2 29 60.4 5.3 0 11744
60640 22.2 9.5 44 76.5 3.1 0.1 9323
60613 19.6 10.5 36 73.5 4.8 1.2 9948
60657 17.3 7.7 37 66.9 5.7 0.5 10656
60614 24.5 8.6 53 81.4 5.9 0.7 9730
60610 54 34.1 68 52.6 4 0.3 8231
60611 4.9 11 75 42.6 7.9 0 21480
60625 7.1 6.9 18 78.5 6.9 0 11104
60618 5.3 7.3 31 90.1 7.6 0.4 10694
60647 21.5 15.1 25 89.8 3.1 1.1 9631
60622 43.1 29.1 34 82.7 1.3 1.9 7995
60631 1.1 2.2 14 40.2 14.3 0 13722
60646 1 5.7 11 27.9 12.1 0 16250
60656 1.7 2 11 7.7 10.9 0 13686
60630 1.6 2.5 22 63.8 10.7 0 12405
60634 1.5 3 17 51.2 13.8 0 12198
60641 1.8 5.4 27 85.1 8.9 0 11600
60635 1 2.2 9 44.4 11.5 0 12765
60639 2.5 7.2 29 84.2 8.5 0.2 11084
60651 13.4 15.1 30 89.8 5.2 0.8 10510
60644 59.8 16.5 40 72.7 2.7 0.8 9784
60624 94.4 18.4 32 72.9 1.2 1.8 7342
60612 86.2 36.2 41 63.1 0.8 1.8 6565
60607 50.2 39.7 147 83 5.2 0.9 7459
60623 74.2 18.5 22 78.3 1.8 1.9 8014
60608 55.5 23.3 29 79 2.1 1.5 8177
60616 62.3 12.2 46 48 3.4 0.6 8212
60632 4.4 5.6 23 71.5 8 0.3 11230
60609 46.2 21.8 4 73.1 2.6 1.3 8330
60653 99.7 21.6 31 65 0.5 0.9 5583
60615 73.5 9 39 75.4 2.7 0.4 8564
60638 10.7 3.6 15 20.8 9.1 0 12102
60629 1.5 5 32 61.8 11.6 0 11876
60636 48.8 28.6 27 78.1 4 1.4 9742
60621 98.9 17.4 32 68.6 1.7 2.2 7520
60637 90.6 11.3 34 73.4 1.9 0.8 7388
60652 1.4 3.4 17 2 12.9 0 13842
60620 71.2 11.9 46 57 4.8 0.9 11040
60619 94.1 10.5 42 55.9 6.6 0.9 10332
60649 66.1 10.7 43 67.5 3.1 0.4 10908
60617 36.4 10.8 34 58 7.8 0.9 11156
60655 1 4.8 19 15.2 13 0 13323
60643 42.5 10.4 25 40.8 10.2 0.5 12960
60628 35.1 15.6 28 57.8 7.5 1 11260
60627 47.4 7 3 11.4 7.7 0.2 10080
60633 34 7.1 23 49.2 11.6 0.3 11428
60645 3.1 4.9 27 46.6 10.9 0 13731
Data on racial composition, income and age and value
of residential units for each ZIP code in Chicago.
race racial composition in percent minority
fire fire incidents per 100 housing units.
theft theft per 1000 population
age percent of housing units built before 1939
volact new homeowner policies plus renewals minus cancellations and non renewals per 100 housing
units
involact new FAIR plan policies and renewals per 100 housing units
income median family income
In a study of insurance availability in Chicago, the U.S. Commission on Civil Rights attempted to examine charges by several community
organizations that insurance companies were redlining their neighborhoods, ie. cancelling policies or refusing to insure or renew. First the
Illinois Department of Insurance provided the number of cancellations, non-renewals, new policies, and renewals of homeowners and
residential fire insurance policies by ZIP code for the months of December 1977 through February 1978. The companies that provided this
information account for more than 70% of the homeowners insurance policies written in the City of Chicago. The department also supplied
the number of FAIR plan policies written an renewed in Chicago by zip code for the months of December 1977 through May 1978. Since
most FAIR plan policyholders secure such coverage only after they have been rejected by the voluntary market, rather than as a result of a
preference for that type of insurance, the distribution of FAIR plan policies is another measure of insurance availability in the voluntary
market.
Secondly, the Chicago Police Department provided crime data, by beat, on all thefts for the year 1975. Most Insurance companies claim to
base their underwriting activities on loss data from the preceding years, i.e. a 2-3 year lag seems reasonable for analysis purposes. the
Chicago Fire Department provided similar data on fires occurring during 1975. These fire and theft data were organized by zip code.
Finally the US Bureau of the census supplied data on racial composition, income and age and value of residential units for each ZIP code in
Chicago. To adjust for these differences in the populations size associated with different ZIP code areas, the theft data were expressed as
incidents per 1,000 population and the fire and insurance data as incidents per 100 housing units.