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Table 61 (page 2 of 4). Cholesterol among adults aged 20 and over, by selected characteristics: United States, selected years 1988–1994 through 2009–2012 Updated data when available, Excel, PDF, more data years, and standard errors: http://www.cdc.gov/nchs/hus/contents2014.htm#061. [Data are based on interviews and laboratory data of a sample of the civilian noninstitutionalized population] Sex, age, race and Hispanic origin 1 , and percent of poverty level 1988–1994 1999–2002 2003–2006 2009–2012 Percent of population with high cholesterol 20 years and over, age-adjusted 2 (serum total cholesterol greater than or equal to 240 mg/dL) 6 Both sexes 4 . . . . . . . . . . . . . . . . . . . . . . . . Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Female . . . . . . . . . . . . . . . . . . . . . . . . . . . Not Hispanic or Latino: 20.8 19.0 22.0 17.3 16.4 17.8 16.3 15.1 17.1 12.9 11.7 14.0 White only, male . . . . . . . . . . . . . . . . . . . 18.8 16.5 15.5 11.6 White only, female. . . . . . . . . . . . . . . . . . 22.2 18.1 18.0 14.7 Black or African American only, male. . . . . 16.9 12.4 10.9 9.0 Black or African American only, female . . . 21.4 17.7 13.3 10.8 Mexican origin male . . . . . . . . . . . . . . . . . . Mexican origin female . . . . . . . . . . . . . . . . . 18.5 18.7 17.4 13.8 17.6 14.4 13.5 12.8 Percent of poverty level: 5 Below 100% . . . . . . . . . . . . . . . . . . . . . . 100%–199% . . . . . . . . . . . . . . . . . . . . . . 200%–399% . . . . . . . . . . . . . . . . . . . . . . 400% or more. . . . . . . . . . . . . . . . . . . . . 20.6 20.6 20.8 19.5 18.3 19.1 18.9 14.4 18.1 16.7 15.8 15.9 13.4 13.2 13.2 12.3 20 years and over, crude Both sexes 4 . . . . . . . . . . . . . . . . . . . . . . . . Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Female . . . . . . . . . . . . . . . . . . . . . . . . . . . Not Hispanic or Latino: 19.6 17.7 21.3 17.3 16.5 18.0 16.4 15.2 17.5 13.4 11.8 14.9 White only, male . . . . . . . . . . . . . . . . . . . 18.0 16.9 15.7 11.8 White only, female. . . . . . . . . . . . . . . . . . 22.5 19.1 18.9 16.5 Black or African American only, male. . . . . 14.7 12.2 10.8 8.8 Black or African American only, female . . . 18.2 16.1 12.5 10.6 Mexican origin male . . . . . . . . . . . . . . . . . . Mexican origin female . . . . . . . . . . . . . . . . . 15.4 14.3 15.0 10.7 15.7 12.6 13.0 10.9 Percent of poverty level: 5 Below 100% . . . . . . . . . . . . . . . . . . . . . . 100%–199% . . . . . . . . . . . . . . . . . . . . . . 200%–399% . . . . . . . . . . . . . . . . . . . . . . 400% or more. . . . . . . . . . . . . . . . . . . . . 17.6 19.8 19.3 19.9 16.4 18.2 18.7 15.5 16.8 16.0 15.8 17.1 12.0 12.9 13.9 13.6 Male 20–44 years. . . . . . . . . . . . . . . . . . . . . . . . 20–34 years . . . . . . . . . . . . . . . . . . . . . . 35–44 years . . . . . . . . . . . . . . . . . . . . . . 45–64 years. . . . . . . . . . . . . . . . . . . . . . . . 45–54 years . . . . . . . . . . . . . . . . . . . . . . 55–64 years . . . . . . . . . . . . . . . . . . . . . . 65–74 years. . . . . . . . . . . . . . . . . . . . . . . . 75 years and over . . . . . . . . . . . . . . . . . . . 12.5 8.2 19.4 27.2 26.6 28.0 21.9 20.4 14.2 9.8 19.7 22.2 23.6 19.9 13.7 10.2 14.1 9.5 20.5 19.1 20.8 16.0 10.9 9.6 10.0 6.0 15.8 16.2 18.0 14.1 8.1 *5.5 Female 20–44 years. . . . . . . . . . . . . . . . . . . . . . . . 20–34 years . . . . . . . . . . . . . . . . . . . . . . 35–44 years . . . . . . . . . . . . . . . . . . . . . . 45–64 years. . . . . . . . . . . . . . . . . . . . . . . . 45–54 years . . . . . . . . . . . . . . . . . . . . . . 55–64 years . . . . . . . . . . . . . . . . . . . . . . 65–74 years. . . . . . . . . . . . . . . . . . . . . . . . 75 years and over . . . . . . . . . . . . . . . . . . . 9.4 7.3 12.3 33.4 26.7 40.9 41.3 38.2 10.4 8.9 12.4 23.0 21.4 25.6 32.3 26.5 11.3 10.3 12.7 23.9 19.7 30.5 24.2 18.6 7.6 5.7 10.4 22.4 18.7 26.6 19.6 16.2 See footnotes at end of table. 204 TrendTables Health, United States, 2014
Table 61 (page 3 of 4). Cholesterol among adults aged 20 and over, by selected characteristics: United States, selected years 1988–1994 through 2009–2012 Updated data when available, Excel, PDF, more data years, and standard errors: http://www.cdc.gov/nchs/hus/contents2014.htm#061. [Data are based on interviews and laboratory data of a sample of the civilian noninstitutionalized population] Sex, age, race and Hispanic origin 1 , and percent of poverty level 1988–1994 1999–2002 2003–2006 2009–2012 20 years and over, age-adjusted 2 Both sexes 4 . . . . . . . . . . . . . . . . . . . . . . . . 206 Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 Female . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 Not Hispanic or Latino: White only, male . . . . . . . . . . . . . . . . . . . 205 White only, female. . . . . . . . . . . . . . . . . . 208 Black or African American only, male. . . . . 202 Black or African American only, female . . . 207 Mexican origin male . . . . . . . . . . . . . . . . . . 206 Mexican origin female . . . . . . . . . . . . . . . . . 206 Percent of poverty level: 5 Below 100% . . . . . . . . . . . . . . . . . . . . . . 205 100%–199% . . . . . . . . . . . . . . . . . . . . . . 205 200%–399% . . . . . . . . . . . . . . . . . . . . . . 207 400% or more. . . . . . . . . . . . . . . . . . . . . 205 20 years and over, crude Both sexes 4 . . . . . . . . . . . . . . . . . . . . . . . . 204 Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 Female . . . . . . . . . . . . . . . . . . . . . . . . . . . 206 Not Hispanic or Latino: White only, male . . . . . . . . . . . . . . . . . . . 203 White only, female. . . . . . . . . . . . . . . . . . 208 Black or African American only, male. . . . . 198 Black or African American only, female . . . 201 Mexican origin male . . . . . . . . . . . . . . . . . . 199 Mexican origin female . . . . . . . . . . . . . . . . . 198 Percent of poverty level: 5 Below 100% . . . . . . . . . . . . . . . . . . . . . . 200 100%–199% . . . . . . . . . . . . . . . . . . . . . . 202 200%–399% . . . . . . . . . . . . . . . . . . . . . . 205 400% or more. . . . . . . . . . . . . . . . . . . . . 206 Male 20–44 years. . . . . . . . . . . . . . . . . . . . . . . . 194 20–34 years . . . . . . . . . . . . . . . . . . . . . . 186 35–44 years . . . . . . . . . . . . . . . . . . . . . . 206 45–64 years. . . . . . . . . . . . . . . . . . . . . . . . 216 45–54 years . . . . . . . . . . . . . . . . . . . . . . 216 55–64 years . . . . . . . . . . . . . . . . . . . . . . 216 65–74 years. . . . . . . . . . . . . . . . . . . . . . . . 212 75 years and over . . . . . . . . . . . . . . . . . . . 205 Female 20–44 years. . . . . . . . . . . . . . . . . . . . . . . . 189 20–34 years . . . . . . . . . . . . . . . . . . . . . . 184 35–44 years . . . . . . . . . . . . . . . . . . . . . . 195 45–64 years. . . . . . . . . . . . . . . . . . . . . . . . 225 45–54 years . . . . . . . . . . . . . . . . . . . . . . 217 55–64 years . . . . . . . . . . . . . . . . . . . . . . 235 65–74 years. . . . . . . . . . . . . . . . . . . . . . . . 233 75 years and over . . . . . . . . . . . . . . . . . . . 229 Mean serum total cholesterol level, mg/dL 203 202 204 202 205 195 202 204 199 201 204 205 202 203 202 204 203 206 194 199 200 194 198 202 204 204 196 188 207 213 215 212 202 195 191 185 198 215 211 221 224 217 200 198 202 198 203 193 195 203 200 203 201 199 201 200 198 202 198 205 192 194 200 196 200 199 199 203 196 186 209 206 208 202 191 187 192 188 197 213 208 219 214 206 195 192 198 192 199 188 192 197 194 196 194 195 196 196 193 199 193 202 187 191 198 193 192 193 196 199 191 182 204 200 203 198 184 173 187 180 196 212 209 216 206 201 See footnotes at end of table. Health, United States, 2014 Trend Tables 205
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Copyright information Permission ha
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Preface Health, United States, 2014
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Accessing Health, United States Hea
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Contents
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Trend Tables Health Status and Dete
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Figure 28. Prescription drug use in
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List of Trend Tables Health Status
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Table 64. Healthy weight, overweigh
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State Health Expenditures and Healt
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Health, United States, 2014: At a G
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Highlights This section presents se
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Use of Preventive Medical Care Serv
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Chartbook: Figures 1-19
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Mortality Selected Causes of Death
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Disability Measures Basic Actions D
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Health Risk Factors Overweight and
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Health Insurance Coverage Among Adu
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Personal Health Care Expenditures M
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Special Feature on Adults Aged 55-6
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Health, United States, 2014: Profil
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Selected Chronic Conditions For adu
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Current Cigarette Smoking In 2012-2
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Health Insurance Coverage For adult
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Use of Preventive Services and Scre
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Delay or Nonreceipt of Medical Care
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Data table for Figure 20. Death rat
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Data table for Figure 22. Serious o
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Data table for Figure 24. Participa
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Data table for Figure 26. Health ca
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Data table for Figure 28. Prescript
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Technical Notes Data Sources and Co
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26. Martinez ME, Cohen RA. Health i
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83. CDC. Vaccine recommendations of
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Table 1 (page 1 of 3). Resident pop
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Table 1 (page 3 of 3). Resident pop
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Table 2 (page 2 of 2). Persons belo
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Table 3 (page 2 of 3). Crude birth
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Table 4 (page 1 of 2). Teenage chil
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Table 5. Nonmarital childbearing, b
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Table 7 (page 1 of 3). Low birthwei
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Table 7 (page 3 of 3). Low birthwei
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Table 9 (page 1 of 6). Contraceptiv
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Table 10. Breastfeeding among mothe
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Table 11 (page 2 of 2). Infant, neo
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Table 13 (page 1 of 3). Infant mort
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Table 13 (page 3 of 3). Infant mort
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Table 15 (page 1 of 2). Life expect
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Table 16 (page 1 of 2). Life expect
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Table 17 (page 1 of 2). Age-adjuste
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Table 19 (page 1 of 4). Years of po
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Table 19 (page 3 of 4). Years of po
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Table 20 (page 1 of 4). Leading cau
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Table 23 (page 2 of 4). Death rates
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Table 36 (page 1 of 2). Occupationa
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Table 37 (page 1 of 2). Selected no
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Table 38 (page 1 of 2). Human immun
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Table 39 (page 1 of 5). Health cond
Page 169 and 170: Table 39 (page 3 of 5). Health cond
Page 171 and 172: Table 39 (page 5 of 5). Health cond
Page 173 and 174: Table 40 (page 2 of 4). Age-adjuste
Page 175 and 176: Table 40 (page 4 of 4). Age-adjuste
Page 177 and 178: Table 42 (page 1 of 2). Respondent-
Page 179 and 180: Table 43 (page 1 of 2). Number of r
Page 181 and 182: Table 44 (page 1 of 2). Diabetes pr
Page 183 and 184: Table 45 (page 1 of 2). End-stage r
Page 185 and 186: Table 46 (page 1 of 3). Severe head
Page 187 and 188: Table 46 (page 3 of 3). Severe head
Page 189 and 190: Table 47 (page 2 of 2). Disability
Page 191 and 192: Table 48 (page 2 of 2). Vision limi
Page 193 and 194: Table 49 (page 2 of 2). Hearing lim
Page 195 and 196: Table 50 (page 2 of 2). Respondent-
Page 197 and 198: Table 51 (page 2 of 2). Serious psy
Page 199 and 200: Table 52 (page 2 of 2). Current cig
Page 205 and 206: Table 55 (page 2 of 2). Use of sele
Page 207 and 208: Table 56 (page 2 of 3). Use of sele
Page 209 and 210: Table 57 (page 1 of 3). Health risk
Page 211 and 212: Table 57 (page 3 of 3). Health risk
Page 213 and 214: Table 58 (page 2 of 3). Heavier dri
Page 215 and 216: Table 59 (page 1 of 2). Selected he
Page 217 and 218: Table 60 (page 1 of 2). Hypertensio
Page 219: Table 61 (page 1 of 4). Cholesterol
Page 223 and 224: Table 62 (page 1 of 2). Mean macron
Page 225 and 226: Table 63 (page 1 of 5). Participati
Page 231 and 232: Table 64 (page 2 of 7). Healthy wei
Page 237 and 238: Table 65 (page 1 of 2). Obesity amo
Page 239 and 240: Table 66 (page 1 of 2). Untreated d
Page 241 and 242: Table 67 (page 1 of 2). No usual so
Page 243 and 244: Table 68 (page 1 of 2). No usual so
Page 245 and 246: Table 69 (page 1 of 3). Delay or no
Page 247 and 248: Table 69 (page 3 of 3). Delay or no
Page 249 and 250: Table 70 (page 2 of 2). No health c
Page 251 and 252: Table 71 (page 2 of 3). Health care
Page 253 and 254: Table 72 (page 1 of 3). Vaccination
Page 255 and 256: Table 72 (page 3 of 3). Vaccination
Page 257 and 258: Table 74 (page 1 of 2). Influenza v
Page 259 and 260: Table 75 (page 1 of 2). Pneumococca
Page 261 and 262: Table 76 (page 1 of 3) . Use of mam
Page 263 and 264: Table 76 (page 3 of 3). Use of mamm
Page 265 and 266: Table 77 (page 2 of 5). Use of Pap
Page 267 and 268: Table 77 (page 4 of 5). Use of Pap
Page 269 and 270: Table 78 (page 1 of 2). Use of colo
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Table 79 (page 1 of 4). Emergency d
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Table 81 (page 2 of 2). Initial inj
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Table 82 (page 2 of 3). Visits to p
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Table 83 (page 1 of 2). Visits to p
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Table 84 (page 1 of 2) . Dental vis
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Table 85 (page 1 of 2). Prescriptio
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Table 86 (page 1 of 3). Selected pr
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Table 86 (page 3 of 3). Selected pr
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Table 87 (page 2 of 4). Persons wit
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Table 87 (page 4 of 4). Persons wit
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Table 88 (page 2 of 3). Discharges,
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Table 89 (page 1 of 3). Discharge r
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Table 89 (page 3 of 3). Discharge r
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Table 90 (page 2 of 4). Discharges
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Table 90 (page 4 of 4). Discharges
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Table 92. Active physicians and phy
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Table 94. Doctors of medicine in pr
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Table 96. Healthcare employment and
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Table 98. Hospitals, beds, and occu
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Table 100. Occupancy rates in commu
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Table 101 (page 2 of 2). Nursing ho
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Table 102 (page 2 of 2). Gross dome
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Table 103 (page 2 of 2). National h
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Table 104 (page 2 of 3). Personal h
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Table 105 (page 1 of 3). Cost of ho
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Table 105 (page 3 of 3). Cost of ho
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Table 106 (page 2 of 3). Expenses f
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Table 107 (page 1 of 3). Sources of
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Table 107 (page 3 of 3). Sources of
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Table 109 (page 1 of 2). National h
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Table 110. Employers' costs per emp
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Table 111 (page 2 of 3). Private he
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Table 113 (page 2 of 3). Medicaid c
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Table 114 (page 1 of 3). No health
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Table 114 (page 3 of 3). No health
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Table 115 (page 2 of 2). Health ins
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Table 116 (page 2 of 2). Medicare e
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Table 117 (page 2 of 2). Medicare b
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Table 118 (page 2 of 2). Medicaid b
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Table 120. Department of Veterans A
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Table 121 (page 2 of 2). Medicare e
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Table 123 (page 1 of 3). Persons un
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Table 123 (page 3 of 3). Persons un
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Appendix Contents Appendix I. Data
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Mammography .......................
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Appendix I. Data Sources Health, Un
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institutional group quarters popula
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entire survey. In addition, some of
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Another source of Medicaid informat
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For More Information. See the CMS R
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Sample data are weighted to produce
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The estimation procedure used to pr
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with the Armed Forces (although the
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areas. EDs are treated as their own
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Methodology. NIS is a nationwide te
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National Notifiable Diseases Survei
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interviewing (ACASI), are used to p
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Coverage. Data presented in Health,
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Heron M, Hoyert DL, Murphy SL, et a
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specified rules for the collection,
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Quality Improvement Evaluation Syst
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information on treatment and payer
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Reference American Dental Associati
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For More Information. See The Guttm
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Table I. United States projected ye
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males and black females in 1950 are
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hypertension. Those with uncontroll
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Table IV. Cause-of-death codes, by
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High Blood Cholesterol in Adults (A
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Table V. Comparability of selected
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Dental caries was identified by an
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For more information on prescriptio
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public-use data release. NCHS. 2014
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Figure I. U.S. Census Bureau: Four
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with only Indian Health Service (IH
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Table VII. Percentage of persons un
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analytic purposes. See: NAACCR guid
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cause of death in ICD-9. The asteri
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Table IX. Codes for external causes
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U.S. life tables by Hispanic origin
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for Healthcare Research and Quality
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Affordable Care Act Provides Eligib
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Micropolitan statistical area—The
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In 2000 and 2003, women were asked
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see Appendix I, Population Census a
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Table XII. Codes for procedure cate
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Table XIV. Private health care cove
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the extent that race and Hispanic o
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Perinatal mortality rates and ratio
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coverage are considered uninsured.
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Index
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A—Con. Table/Figure (F) Asian or
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D Table/Figure (F) Deaths, death ra
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H—Con. Table/Figure (F) Hispanic
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M—Con. Table/Figure (F) Metropoli
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S Table/Figure (F) Salmonellosis, s
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