This file is indexed.

/usr/share/gretl/data/data4-11.gdt is in gretl-data 1.9.9-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

 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
84
85
86
87
<?xml version="1.0"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">

<gretldata name="data4-11" frequency="1" startobs="1" endobs="40" type="cross-section">
<description>
DATA4-11:  Data on private housing units authorized.
           Compiled by Susan Huberman.
HOUSING = New private housing units authorized by building permits for
          1992, in number of houses, Range 39 - 5222.
DENSITY = Population density per square mile for 1992, in number of
          persons, Range 746 - 23671.
VALUE =  Median value for owner occupied home during 1990, in hundreds of
          dollars, Range 256 - 2989.
INCOME   = Median Household income for 1989, in thousands of dollars,
           Range 16.925 - 46.206
POPCHANG = Percent change in population from 1980 to 1992,
           Range -15.9 - 59.1
UNEMPRT = Unemployment rate for civilian labor force during 1990, in
percentage, Range 4.7 - 19.7
****data for above variables taken from County and City Data Book 1994,
   cities tables pgs 650-853
LOCALTAX= Average local taxes per capita for 1992, in dollars
Range 239 - 2341.
STATETAX= Average state tax per capita for 1993, in dollars
Range 1005 - 1725
****data for above variables taken from Statistical Abstract for the US
   1995 tables 502 and 492 
</description>
<variables count="8">
<variable name="housing"
 label="New private housing units authorized by building permits"/>
<variable name="density"
 label="Population density: persons per square mile"/>
<variable name="value"
 label="Median value of owner-occupied home during 1990 ($100s)"/>
<variable name="income"
 label="Median Household income for 1989 ($1000s)"/>
<variable name="popchang"
 label="Percent change in population 1980-1992"/>
<variable name="unemprt"
 label="Unemployment rate for civilian labor force (1990, percent)"/>
<variable name="localtax"/>
<variable name="statetax"/>
</variables>
<observations count="40" labels="false">
<obs>5222 2411 771 29.291 28.2 6.7 339 1339 </obs>
<obs>965 2656 668 21.748 25.6 8.3 326 1339 </obs>
<obs>86 8775 2229 31.938 21.4 6.9 425 1561 </obs>
<obs>2587 7436 2445 30.925 17.6 8.4 554 1561 </obs>
<obs>905 6653 1774 27.095 10.0 9.5 596 1561 </obs>
<obs>2641 3546 1894 33.686 31.2 6.2 345 1561 </obs>
<obs>629 15609 2989 33.414 7.4 6.3 1349 1561 </obs>
<obs>1662 4678 2591 46.206 27.3 5.5 419 1561 </obs>
<obs>850 3975 1158 28.183 38.8 7.6 417 1561 </obs>
<obs>506 3156 790 25.106 -1.8 6.8 836 1036 </obs>
<obs>4518 871 629 28.305 22.2 5.7 391 1195 </obs>
<obs>552 10309 792 16.925 5.9 11.0 476 1195 </obs>
<obs>630 2996 712 22.275 -7.1 9.2 566 1180 </obs>
<obs>1733 12185 787 26.301 -7.9 11.3 572 1240 </obs>
<obs>3594 2064 608 29.006 6.5 5.6 574 1211 </obs>
<obs>182 2711 696 18.477 -12.2 12.7 605 1017 </obs>
<obs>78 8986 547 24.045 -7.7 9.2 903 1447 </obs>
<obs>100 11398 1614 29.180 -2.0 8.3 1117 1725 </obs>
<obs>309 7297 256 18.742 -15.9 19.7 536 1393 </obs>
<obs>1314 1385 561 26.713 -3.7 7.3 758 1047 </obs>
<obs>39 6199 507 19.458 -15.3 11.0 698 1047 </obs>
<obs>1929 3014 859 27.555 19.7 6.4 344 1718 </obs>
<obs>3882 23671 1896 29.823 3.4 9.0 2341 1724 </obs>
<obs>97 6526 409 17.822 -12.4 14.0 539 1156 </obs>
<obs>3517 3368 660 26.651 13.8 5.9 453 1156 </obs>
<obs>653 4719 619 21.006 -5.5 7.9 653 1156 </obs>
<obs>1689 746 549 25.741 12.4 7.2 436 1289 </obs>
<obs>1079 3572 592 25.592 21.0 6.2 464 1205 </obs>
<obs>250 11492 494 24.603 -8.0 9.7 935 1380 </obs>
<obs>120 6598 412 20.747 -13.5 9.1 640 1380 </obs>
<obs>1914 1046 744 27.821 8.6 5.1 980 1005 </obs>
<obs>2522 2260 726 25.414 42.3 6.4 378 1012 </obs>
<obs>2782 2986 788 27.489 13.0 7.4 502 1012 </obs>
<obs>2651 2216 585 23.460 27.9 10.3 250 1012 </obs>
<obs>1084 1617 599 26.547 18.0 7.5 437 1012 </obs>
<obs>3576 3131 580 26.261 6.0 8.2 478 1012 </obs>
<obs>2468 2902 497 23.584 23.0 9.2 239 1012 </obs>
<obs>2036 1680 965 36.271 59.1 4.7 950 1170 </obs>
<obs>2191 6193 1379 29.353 5.2 4.9 718 1693 </obs>
<obs>384 6421 535 23.627 -3.0 8.9 265 1577 </obs>
</observations>
</gretldata>