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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Clim Change. 2016 Mar 7;136(3):631–645. doi: 10.1007/s10584-016-1638-9

Table 1.

Characteristics of patients 65 years and older admitted to the hospital, temperature, and ZIP code characteristics in 109 U.S. cities and 8,200 ZIP codes, May–September, 1992–2006.

Minimum 25th percentile Median 75th percentile Maximum
Citywide mean daily number of hospitalizationsa

 Renal/heat 0.1 0.4 0.6 1.2 6.8
 Respiratory 1.0 2.5 4.2 7.0 49.0

Patient characteristics (citywide percent of respiratory, renal and heat cases)

 Aged > 78 years 38.1 46.2 49.5 51.2 60.0
 Male 39.2 43.8 45.5 47.4 55.0
 Black race 5.2 11.5 16.1 28.5 66.2

Daily citywide exposures, °C

 90th percentile of maximum daily temperature 25.8 30.6 32.9 34.7 43.1
 97th percentile of maximum daily temperature 28.6 33.1 34.7 36.1 44.4

ZIP code characteristics

 Percent non-green space (% Non-Green) 0.0 10.0 38.6 73.9 100.0
 Percent of residents without a high school degree (% No HS) 0.0 9.8 16.4 26.1 100.0
 Percent of residents of black race (% Black) 0.0 0.7 2.8 10.4 100.0
 Percent of residents below poverty level (%Poverty) 0.0 4.2 7.5 14.4 100.0
 Percent of households in structures built before 1940 (% Built < 1940) 0.0 2.7 11.4 27.4 100.0

Citywide percent of households with central air conditioning in 1999 (ACP) 4.9 33.1 63.6 81.0 96.4
a

ICD-9-CM primary admission codes: renal/heat: 580–589, 992 or E900.0; respiratory: 480–487, 490–492, 494–496. Counts of hospitalizations for heat causes also include hospitalizations with any contributing causes coded as heat-related.