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Proportionate Mortality for Cancer by Industry for Manufacturing Sector

PMR Summary Table

Data from 1999, 2003-2004, 2007-2010

  Industry
MANUFACTURING SECTOR Food Mfg. Lumber Wood Products Printing Chemical Mfg. Rubber/Plastics Mfg. Furniture Fixtures Mfg Stone, Clay, Glass, Concrete Mfg. Primary Metal Industries Foundries Mfg Fabricated Metal Products Mfg Machinery Mfg Electronic Computing Equipment Mfg Transportation Equipment Mfg.
Cause of Death 103 98 99 107 110 105 99 102 103 101 104 108 104
All Cancer
Oral Cavity Pharynx 103 95 146 94 93 116 119 106 104 118 103 100 112
Esophagus 122 101 117 125 125 116 126 133 126 129 135 112 134
Stomach 109 121 99 94 131 100 113 110 122 105 118 80 103
Intestine and Rectum 101 102 84 113 103 97 95 111 102 103 99 106 95
Liver and Intra-Hepatic Bile Ducts 100 96 69 99 106 82 91 96 92 100 91 125 108
Pancreas 99 95 93 96 113 90 87 83 98 91 99 108 100
Nasal Cavities 107 135 131 177 73 174 97 127 119 108 66 0 119
Larynx 118 104 130 85 102 105 138 137 131 101 109 52 131
Retro-Peritoneum, Peritoneum Pleura 77 141 106 116 71 122 117 15 51 21 68 68 76
Mesothelioma 156 92 118 75 334 178 91 206 239 185 140 105 156
Malignant Melanoma 103 76 100 130 124 102 86 72 93 109 103 159 106
Breast 61 67 25 90 78 72 59 57 23 34 42 85 45
Prostate 130 115 179 122 142 126 128 129 168 139 149 166 146
Testis 139 130 161 189 146 53 0 198 147 127 165 197 158
Bladder 120 104 104 125 134 147 104 95 128 136 141 113 129
Kidney 111 101 121 112 135 78 122 108 112 126 120 84 114
Brain and Nervous System 100 96 93 111 116 112 102 100 79 86 119 226 98
Thyroid 88 49 43 147 113 55 111 103 100 105 53 38 81
Non Hodgkin's Lymphoma 102 93 93 109 104 115 96 88 97 89 123 127 108
Multiple Myeloma 104 102 81 90 110 90 80 117 109 91 111 90 107
Leukemia 107 104 84 105 115 109 114 91 113 106 104 113 115
All Non-Chronic Lymphoid Leukemia 106 106 86 108 116 101 117 89 107 103 109 101 115
Chronic Lymphoid Leukemia 108 98 77 99 112 134 105 97 125 117 91 152 114

(Click on headings to view detailed charts for industries.)

The cells show proportionate mortality ratios (PMRs) for each cause of death by industries. The PMRs indicate whether mortality is high or low compared to the general population for the disease specified.

Suggested Citation : NIOSH (2015). National Occupational Mortality Surveillance (NOMS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch. <Website address> Date accessed._________.

Suggested Citation : NIOSH (2015). National Occupational Mortality Surveillance (NOMS). U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluation and Field Studies, Surveillance Branch. <Website address> Date accessed._________.

Source: For these charts, death certificates for decedents that died in one of the 23 U.S. states between 1999 and 2010 were the source of age (ages 18-90), race (black, white), gender, usual occupation and industry and cause of death. PMRs were calculated with all races and genders combined to evaluate the mortality patterns for 23 site-specific cancers and 17 cardiovascular, neurodegenerative, diabetes, and renal diseases for the larger industries in each of ten sectors: agriculture, forestry, fishing; mining; oil and gas; construction; manufacturing, wholesale & retail trade; transportation, warehousing & utilities; healthcare & social assistance; health care / social services; and services. If a PMR is greater than 100 in the chart, it is elevated; if less, it is said to be decreased. User may consult crosswalks for ICD10 and 2000 Census industry category codes (Chronic Disease and Industry Categories).

When the number of deaths is less than or equal to five, PMRs are displayed, but the number of deaths is indicated by a dash.

PMRs are computed when the data for the population at risk are not available and death rates cannot be computed. Thus the PMRs presented indicate whether the proportion of deaths due to a specific cause appears to be high or low for a particular industry compared to all industries. The 95% confidence intervals (95% CI) were computed based on the Poisson distribution if the observed number of deaths was 1000 or less; otherwise, test-based CIs were computed based on the Mantel and Haenszel chi square test.

More information about methods and limitations, source description and listings of states, causes of death and industry codes and the authors' contact information may be found at the main page.

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