old ------------------------------------------------------------- % 65 and over type: numeric (float) range: [5.6,11.8] units: .1 unique values: 39 coded missing: 0 / 60 mean: 8.79833 std. dev: 1.46455 percentiles: 10% 25% 50% 75% 90% 7 7.65 9 9.7 10.9 pop_hse ---------------------------------------------- population per household type: numeric (float) range: [2.92,3.53] units: .01 unique values: 35 coded missing: 0 / 60 mean: 3.26317 std. dev: .135252 percentiles: 10% 25% 50% 75% 90% 3.055 3.21 3.265 3.36 3.44 educ ---------------------------------------------- median education of pop 25+ type: numeric (float) range: [9,12.3] units: .1 unique values: 26 coded missing: 0 / 60 mean: 10.9733 std. dev: .845299 percentiles: 10% 25% 50% 75% 90% 9.7 10.4 11.05 11.5 12.1 gdhse --------------------------------------------------- % sound housing units type: numeric (float) range: [66.8,90.7] units: .1 unique values: 52 coded missing: 0 / 60 mean: 80.9967 std. dev: 5.07743 percentiles: 10% 25% 50% 75% 90% 74.5 78.35 81.15 83.7 87.6 nonw --------------------------------------------------------------- % nonwhite type: numeric (float) range: [.8,38.5] units: .1 unique values: 54 coded missing: 0 / 60 mean: 11.87 std. dev: 8.92115 percentiles: 10% 25% 50% 75% 90% 2.8 4.9 10.4 15.7 25.15 wcol ------------------------------------------------ % white collar employment type: numeric (float) range: [33.8,59.7] units: .1 unique values: 51 coded missing: 0 / 60 mean: 46.0817 std. dev: 4.61304 percentiles: 10% 25% 50% 75% 90% 40.7 43.2 45.5 49.55 51.6 poor --------------------------------------------- % families with income<$3000 type: numeric (float) range: [9.4,26.4] units: .1 unique values: 46 coded missing: 0 / 60 mean: 14.3733 std. dev: 4.1601 percentiles: 10% 25% 50% 75% 90% 10.4 12 13.2 15.2 21.5 mort ---------------------------------------------- age-adjusted mortality/100K type: numeric (float) range: [790.7,1113] units: .1 unique values: 60 coded missing: 0 / 60 mean: 940.365 std. dev: 62.2048 percentiles: 10% 25% 50% 75% 90% 860.75 897.5 943.7 984.15 1016.5 popden ------------------------------------------------- people per square mile type: numeric (int) range: [1441,9699] units: 1 unique values: 60 coded missing: 0 / 60 mean: 3876.05 std. dev: 1454.1 percentiles: 10% 25% 50% 75% 90% 2204.5 3083.5 3567 4565.5 5700 hc -------------------------------------------- relative HC pollution potential type: numeric (int) range: [1,648] units: 1 unique values: 34 coded missing: 0 / 60 mean: 37.85 std. dev: 91.9777 percentiles: 10% 25% 50% 75% 90% 5 7 14.5 30.5 60.5 nox ------------------------------------------- relative NOx pollution potentia type: numeric (int) range: [1,319] units: 1 unique values: 30 coded missing: 0 / 60 mean: 22.65 std. dev: 46.3333 percentiles: 10% 25% 50% 75% 90% 3 4 9 24.5 37.5 so2 ------------------------------------------- relative SO2 pollution potentia type: numeric (int) range: [1,278] units: 1 unique values: 44 coded missing: 0 / 60 mean: 53.7667 std. dev: 63.3905 percentiles: 10% 25% 50% 75% 90% 2 11 30 70 138 smsa --------------------------------------------------------------------- SMSA type: string (str12) unique values: 60 coded missing: 0 / 60 examples: "Chicago" "Hartford" "NewHaven" "SanJose" state ------------------------------------------------------------------- State type: string (str2) unique values: 29 coded missing: 0 / 60 examples: "FL" "MI" "OH" "PA" rain ----------------------------------------------- avg. yearly precip. inches type: numeric (byte) range: [10,60] units: 1 unique values: 30 coded missing: 0 / 60 mean: 37.35 std. dev: 10.0065 percentiles: 10% 25% 50% 75% 90% 26 32.5 38 43.5 46.5 jan ----------------------------------------------- avg. January temperature, F type: numeric (byte) range: [12,67] units: 1 unique values: 28 coded missing: 0 / 60 mean: 33.9833 std. dev: 10.1689 percentiles: 10% 25% 50% 75% 90% 24 27 31.5 40 48.5 july ------------------------------------------------- avg. July temperature, F type: numeric (byte) range: [63,85] units: 1 unique values: 20 coded missing: 0 / 60 mean: 74.5833 std. dev: 4.76318 percentiles: 10% 25% 50% 75% 90% 69.5 72 74 77.5 81 humid ------------------------------------------------ avg relative humidity, % type: numeric (byte) range: [38,73] units: 1 unique values: 17 coded missing: 0 / 60 mean: 57.6667 std. dev: 5.36993 percentiles: 10% 25% 50% 75% 90% 53.5 55 57 60 61.5 case ----------------------------------------------------------- case ID number type: numeric (byte) range: [1,60] units: 1 unique values: 60 coded missing: 0 / 60 mean: 30.5 std. dev: 17.4642 percentiles: 10% 25% 50% 75% 90% 6.5 15.5 30.5 45.5 54.5 -> log close