Lung and Bronchus Cancer Incidence by ZIP code , Albany County, 2005-2009
Source: New York State Cancer Registry
| Primary ZIP Code |
Post Office | Included ZIP Codes | Males | Females | ||||
|---|---|---|---|---|---|---|---|---|
| Number of Cases Observed |
Number of Cases Expected |
Percent Difference from Expected | Number of Cases Observed |
Number of Cases Expected |
Percent Difference from Expected | |||
| 12009 | Altamont | 12085, 12107 | 13 | 13.6 | Within 15% of expected | 12 | 12.6 | Within 15% of expected |
| 12023 | Berne* | 6 | 4.0 | Very sparse data | 4 | 3.0 | Very sparse data | |
| 12047 | Cohoes | 65 | 34.1 | More than 50% above expected | 51 | 36.5 | 15 to 49% above expected | |
| 12053 | Delanson* | 12141 | 11 | 9.2 | 15 to 49% above expected | 7 | 6.9 | Within 15% of expected |
| 12054 | Delmar | 12161 | 27 | 33.9 | 15 to 50% below expected | 41 | 31.7 | 15 to 49% above expected |
| 12059 | East Berne | 2 | 3.7 | Very sparse data | 3 | 2.9 | Very sparse data | |
| 12067 | Feura Bush | 12041 | 8 | 3.7 | More than 50% above expected | 5 | 3.0 | Very sparse data |
| 12077 | Glenmont | 9 | 10.4 | Within 15% of expected | 14 | 9.0 | More than 50% above expected | |
| 12083 | Greenville* | 12007 | 9 | 9.0 | Within 15% of expected | 5 | 7.4 | Very sparse data |
| 12084 | Guilderland | 8 | 8.8 | Within 15% of expected | 6 | 10.0 | Very sparse data | |
| 12087 | Hannacroix* | 12046 | 4 | 4.4 | Very sparse data | 2 | 3.6 | Very sparse data |
| 12110 | Latham | 12128 | 39 | 41.9 | Within 15% of expected | 29 | 40.7 | 15 to 50% below expected |
| 12122 | Middleburgh* | 12131, 12194 | 13 | 10.6 | 15 to 49% above expected | 11 | 8.4 | 15 to 49% above expected |
| 12143 | Ravena* | 12045 | 21 | 10.5 | More than 50% above expected | 13 | 9.7 | 15 to 49% above expected |
| 12147 | Rensselaerville | 12120 | 2 | 2.6 | Very sparse data | 2 | 2.0 | Very sparse data |
| 12158 | Selkirk | 11 | 11.0 | Within 15% of expected | 13 | 9.6 | 15 to 49% above expected | |
| 12159 | Slingerlands | 7 | 15.3 | 50% or more below expected | 16 | 15.7 | Within 15% of expected | |
| 12183 | Troy | 6 | 4.7 | Very sparse data | 7 | 4.8 | 15 to 49% above expected | |
| 12186 | Voorheesville | 20 | 14.8 | 15 to 49% above expected | 13 | 12.2 | Within 15% of expected | |
| 12189 | Watervliet | 48 | 27.5 | More than 50% above expected | 59 | 29.9 | More than 50% above expected | |
| 12193 | Westerlo | 12055 | 7 | 4.3 | More than 50% above expected | 8 | 3.4 | More than 50% above expected |
| 12202 | Albany | 12220 | 13 | 11.2 | 15 to 49% above expected | 22 | 12.3 | More than 50% above expected |
| 12203 | Albany | 56 | 53.5 | Within 15% of expected | 74 | 56.7 | 15 to 49% above expected | |
| 12204 | Albany | 26 | 13.8 | More than 50% above expected | 23 | 14.5 | More than 50% above expected | |
| 12205 | Albany | 12201, 12212 | 79 | 61.4 | 15 to 49% above expected | 88 | 58.2 | More than 50% above expected |
| 12206 | Albany | 12260 | 31 | 24.4 | 15 to 49% above expected | 33 | 23.5 | 15 to 49% above expected |
| 12207 | Albany | 12224 | 14 | 4.1 | More than 50% above expected | 4 | 4.0 | Very sparse data |
| 12208 | Albany | 45 | 37.9 | 15 to 49% above expected | 40 | 40.3 | Within 15% of expected | |
| 12209 | Albany | 19 | 18.3 | Within 15% of expected | 17 | 20.5 | 15 to 50% below expected | |
| 12210 | Albany | 9 | 12.0 | 15 to 50% below expected | 12 | 9.8 | 15 to 49% above expected | |
| 12211 | Albany | 37 | 29.9 | 15 to 49% above expected | 25 | 26.1 | Within 15% of expected | |
| 12303 | Schenectady* | 77 | 57.7 | 15 to 49% above expected | 76 | 54.8 | 15 to 49% above expected | |
| 12304 | Schenectady* | 56 | 41.7 | 15 to 49% above expected | 54 | 39.7 | 15 to 49% above expected | |
| 12306 | Schenectady* | 75 | 56.5 | 15 to 49% above expected | 60 | 50.3 | 15 to 49% above expected | |
| 12309 | Schenectady* | 46 | 66.5 | 15 to 50% below expected | 53 | 61.7 | Within 15% of expected | |
| 12469 | Preston Hollow* | 3 | 2.0 | Very sparse data | 0 | 1.4 | Very sparse data | |
Notes
- Incidence data are provisional, November 2011.
- *This ZIP Code crosses county boundaries. The values provided are for the entire ZIP Code, not just the portion in this county.
