SUMMARY OF VITAL STATISTICS 2010 THE CITY OF NEW YORK BUREAU OF VITAL STATISTICS, NEW YORK CITY DEPARTMENT OF HEALTH AND MENTAL HYGIENE 125 WORTH STREET, CN 7, NEW YORK, NEW YORK 10013 POPULATION AND MORTALITY 1 8 0 0 1 8 1 0 1 8 2 0 1 8 3 0 1 8 4 0 1 8 5 0 1 8 6 0 1 8 7 0 1 8 8 0 1 8 9 0 1 9 0 0 1 9 1 0 1 9 2 0 1 9 3 0 1 9 4 0 1 9 5 0 1 9 6 0 1 9 7 0 1 9 8 0 1 9 9 0 2 0 0 0 2 0 1 0 0 1 0 2 0 3 0 4 0 5 0 6 0 D e a t h s p e r 1 , 0 0 0 P o p u l a t i o n 1804 SMALL POX 169 1805 YELLOW FEVER 270 1822 YELLOW FEVER 166 1824 SMALL POX 394 1832 CHOLERA 3513 1834 SMALL POX 233 CHOLERA 971 1836-37 MEASLES 443 SCARLET FEVER 579 1849 CHOLERA 5071 1854 CHOLERA 2509 1870 YELLOW FEVER 9 1865 SMALL POX 664 1866 CHOLERA 1137 1887 DIPHTHERIA 4509 1892 TYPHUS FEVER 200 SMALL POX 302 1892 CHOLERA 9 1901-1902 SMALL POX 410 AND 310 LAST EPIDEMIC 1904 MENINGITIS 2219 1918 INFLUENZA 12,562 1842 CROTON AQUEDUCT OPENED 1907 CONTROL OF TYPHOID CARRIERS 1910 CHLORINATION OF WATER 1911 MILK STATIONS FOR BABIES INAUGURATED 1912 PASTEURIZATION OF MILK POPULATION 119,734 242,278 696,115 1,478,103 2,507,414 4,766,883 6,930,446 7,891,957 7,894,862 7,322,564 8,175,133 OLD CITY OF NEW YORK FORMER CITIES OF GREATER CITY OF NEW YORK NEW YORK & BROOKLYN ...As Shown by the Death Rate as Recorded in the Official Records of the Department of Health and Mental Hygiene. THE IMPACT OF WTC DISASTER DEATHS ON NEW YORK CITY'S DEATH RATE 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 6 6.5 7 7.5 8 8.5 9 D e a t h s p e r 1 , 0 0 0 P o p u l a t i o n ALL DEATHS EXCLUDING 2,747 WTC DEATHS 1851 SMALL POX 562 1872 SMALL POX 1666 1875 SMALL POX 1899 1881 SMALL POX 503 2001 WORLD TRADE CENTER DISASTER 2747 1994 HIV 7102
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OLD CITY OF NEW YORK FORMER CITIES OF GREATER CITY OF NEW YORK NEW YORK & BROOKLYN
...As Shown by the Death Rate as Recorded in the Official Records of the Department of Health and Mental Hygiene.
THE IMPACT OF WTC DISASTER DEATHS ON NEW YORK CITY'S DEATH RATE
1999
2000
2001
2002
2003
2004
2005
2006
2007
6
6.5
7
7.5
8
8.5
9
Dea
ths
per 1
,000
Pop
ulat
ion ALL DEATHS
EXCLUDING2,747 WTC DEATHS
1851SMALL POX 562
1872SMALL POX 1666
1875SMALL POX 1899
1881SMALL POX 503
2001WORLD TRADE CENTER DISASTER 2747
1994 HIV 7102
Michael R. Bloomberg, Mayor Thomas Farley, MD, MPH, Commissioner
SUMMARY OF VITAL STATISTICS 2010THE CITY OF NEW YORK
New York City Department of Health and Mental Hygiene
Division of EpidemiologyCarolyn Greene, MD, Deputy Commissioner
Bureau of Vital StatisticsElizabeth Begier, MD, MPH, Assistant Commissioner
Regina Zimmerman, PhD, MPH, Director, Office of Vital StatisticsSteven Schwartz, PhD, Registrar
Kevin Koshar, MPP, Director, Office of Vital RecordsWenhui Li, PhD, Director, Statistical Analysis and Reporting Unit
Flor Betancourt, MA, CHES, Director, Birth and Death Registration UnitTara Das, PhD, MPH, Director, Registrar Unit
Ann Madsen, PhD, MPH, Director, Quality Assurance UnitVanessa Pratomo, MD, Public Health/Preventative Medicine Resident
December 2011
This report was prepared by the Statistical Analysis and Reporting and Quality Improvement Units of the Bureau of Vital Statistics: Melissa Gambatese, MPH, Darlene Kelley, Joseph Kennedy, MPH, Wenhui Li, PhD, Ann Madsen, PhD, MPH, Gil Maduro, PhD, Meredith Rossi, MPH, Maegan Sinclair, MPH, and Ying Sun, PhD. Copy and design were produced by Kelly Davis, MPA. Vanessa Pratomo, MD, Public Health/Preventative Medicine Resident, assisted with the preparation of the special section on the cause of death quality improvement intervention. The data are derived from vital event certificates filed with and processed by the staff of the Bureau of Vital Statistics. The New York City Office of the City Clerk provided marriage license data.
This publication is available online at http://www.nyc.gov/vitalstats.
1
PoPulation and Mortality Contents
Page PoPulation overview ............................................................................................................................. 3 Figure P1. Age Composition of the Population, New York City, 1910-2010 .................................................................................... 3 Figure P2. Age-Sex Composition of the Population, New York City, 2010 Estimate. ........................................................................ 3 Table P1. Population, Fertility Rates, Marriages, Deaths, and Infant Mortality, New York City, 1898-2010 .................................... 4 Table P2. Population Estimates by Age, Mutually Exclusive Racial/Ethnic Group, Origin, and Sex, New York City, 2010. ....................................................................................................................................... 5 Table P3. Marriages, Births, Deaths, and Infant Deaths by Month and Average per Day, New York City, 2010. ............................. 6 Table P4. Most Popular Baby Names by Sex, New York City, Selected Years ................................................................................. 6 Table P5. Most Popular Names by Sex and Mother’s Racial/Ethnic Group, New York City, 2010 .................................................. 6
deaths by Cause Figure M1. Deaths From Leading Causes, New York City, 2001-2010.............................................................................................. 8 Figure M2. Leading Causes of Death From Malignant Neoplasms (Cancers), New York City, 2001-2010 ......................................... 8 Table M1. Deaths by Leading and Selected Underlying Causes, Borough of Residence, Sex, and ICD-10/ICD-9 Comparability Ratio, New York City, 2010 ....................................................................................................... 9-10
deaths by deMograPhiC CharaCteristiCs Table M2. Deaths and Crude Death Rates per 1,000 Population by Age, Racial/Ethnic Group, and Sex, New York City, 2010 ........................................................................................................................................ 11 Table M3. Deaths by Ancestry and Borough of Residence, New York City, 2010. ........................................................................... 12 Table M4. Deaths by Place of Death, New York City, 2006-2010 ................................................................................................... 12 Table M5. Deaths by Birthplace and Borough of Residence, New York City, 2010. ........................................................................ 13 Table M6. Deaths by Birthplace and Age, New York City, 2010. .................................................................................................... 13 Figure M3. Deaths by Racial/Ethnic Group, New York City, 2001-2010.. ......................................................................................... 14 Map M1. Age-adjusted Death Rate by Community District of Residence, New York City, 2010 .................................................... 14
leading Causes of death Table M7. Leading Causes of Death in Specified Age Groups, Overall and by Sex, New York City, 2010 ....................................... 15-16 Figure M4. Leading Causes of Death for Males, New York City, 2010 .............................................................................................. 17 Figure M5. Leading Causes of Death for Females, New York City, 2010 .......................................................................................... 17 Table M8. Leading Causes of Death in Specified Racial/Ethnic Groups, by Sex, New York City, 2010 ............................................ 18 Map M2. Heart Disease Age-adjusted Death Rate by Community District of Residence, New York City, 2010 .............................. 19 Map M3. Malignant Neoplasms (Cancer) Age-adjusted Death Rate by Community District of Residence, New York City, 2010 ........................................................................................................................................ 19
PreMature deaths (age<65) Table M9. Leading Causes of Premature Death (Age<65), Overall and by Sex, New York City, 2010 ............................................ 20 Figure M6. Selected Causes of Preventable Premature Death (Age<65), New York City, 2001-2010 ............................................... 20 Table M10. Leading Causes of Premature Death (Age<65) in Specified Racial/Ethnic Groups by Sex, New York City, 2010 ........................................................................................................................................ 21
seleCted Causes of death Table M11. Deaths and Death Rates per 100,000 Population From Selected Underlying Causes, Overall and by Racial/Ethnic Group and Sex, New York City, 2010 ............................................................................... 22 Table M12. Deaths and Death Rates per 100,000 Population From Selected Underlying Causes by Community District of Residence, New York City, 2010 .............................................................................. 23-24 Table M13. Deaths and Crude Death Rates per 100,000 Population From Selected Causes, New York City, 1901-2010 ............................................................................................................................... 25-26
alCohol-attributable deaths Table M14. Alcohol-attributable Deaths, Age ≥ 20 Years, New York City, 2006-2010 ..................................................................... 27
traChea, bronChus, and lung CanCer deaths (see also table M1) Figure M7. Age-adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Racial/Ethnic Group, Age ≥20 Years, New York City, 2010 ......................................................................... 28 Figure M8. Age-adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Sex, Age ≥20 Years, New York City, 2001-2010 ......................................................................................... 28 Figure M9. Age-specific Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Selected Age Group, New York City, 2001-2010.......................................................................................... 28
2
sMoking-attributable deaths Table M15. Smoking-attributable Deaths, Age-adjusted Death Rates and Their Changes, Age ≥35 Years, New York City, 2006-2010 ............................................................................................................................... 29
hiv disease deaths Figure M10. Deaths Due to HIV Disease by Sex and Selected Racial/Ethnic Group, New York City, 2001-2010 ................................ 30 Figure M11. Mean Age at Death, All Deaths and HIV Disease Deaths by Sex, New York City, 2001-2010 ........................................ 30 Table M16. Deaths From HIV Disease, Overall and by Sex, Age, and Ethnic Group, New York City, 1983-2010 ............................. 31-32
fatal oCCuPational injuries Figure M12. Fatal Occupational Injuries by Sex, New York City, 2001-2010 ..................................................................................... 33 Table M17. Selected Characteristics of Deaths Due to Fatal Occupational Injuries, New York City, 2010 ......................................... 33
external and injury-related deaths Figure M13. Number of Deaths From Selected External Causes, New York City, 2001-2010 .............................................................. 34 Map M4. Homicide (Assault) Crude Death Rate by Community District of Residence, New York City, 2010 ................................ 34 Table M18. Deaths Due to Accidents, Overall and by Age and Sex, New York City, 2010 ............................................................... 35 Table M19. Deaths Due to Intentional Self-harm (Suicide), Overall and by Age and Sex, New York City, 2010 ........................................................................................................................................ 36 Table M20. Deaths Due to Assault (Homicide) and Legal Intervention, Overall and by Age and Sex, New York City, 2010 ........................................................................................................................................ 36 Table M21. Deaths Due to Events of Undetermined Intent, Overall and by Age and Sex, New York City, 2010................................ 37 Table M22. Deaths Due to Complications of Medical and Surgical Care, Overall and by Age and Sex, New York City, 2010 ........................................................................................................................................ 37 Table M23. Deaths Due to Firearms (All Causes), Overall and by Age and Sex, New York City, 2010 .............................................. 37
life exPeCtanCy Table M24. Life Expectancy at Specified Ages, Overall and by Sex and Racial/Ethnic Group, New York City, 1989-1991 and 1999-2001 ................................................................................................................................................. 38 Table M25. Life Expectancy at Specified Ages, Overall and by Sex, New York City, 2000-2009 ....................................................... 39
years of Potential life lost (yPll) Table M26. Years of Potential Life Lost (YPLL) Before Age 75, Overall and by Sex and Selected Causes of Death, New York City, 2010 ........................................................................................................................................ 40 Figure M14. Years of Potential Life Lost (YPLL) Before Age 75, by Sex and Selected Causes of Death, New York City, 2010 ........................................................................................................................................ 40
sPeCial seCtion: Cause of death Quality iMProveMent intervention Figure SS1. Percent of Death Certificates Reporting Heart Disease, New York City, 2008 ................................................................. 41 Table SS1. Counts and Proportions of 5 Leading Causes of Death and Changes From Prior Year, New York City, 2006-2010 ............................................................................................................................... 42 Figure SS2. Proportion of Death Certificates Reporting Diseases of Heart, Malignant Neoplasms (Cancer), and Influenza/ Pneumonia as Cause of Death, New York City, 2001-2010 ............................................................................... 42 Figure SS3. Percent Change in the Proportion of Death Certificates Reporting Heart Disease as the Cause of Death by Community District of Residence, New York City, 2008-2010 ............................................................................................. 43 Figure SS4. Proportion of Deaths Due to Diseases of the Heart by Age and Racial/Ethnic Group, New York City, 2001-2010 ............................................................................................................................... 43 Figure SS5. Proportion of Deaths Due to Malignant Neoplasms (Cancer) by Age, Sex, and Racial/Ethnic Group, New York City, 2001-2010 ............................................................................................................................... 44
rates and ratios defined ........................................................................................................................ 45
glossary of terMs .................................................................................................................................. 51
new york CertifiCates of death .............................................................................................................. 52-56
PoPulation and Mortality Contents (Continued)Page
3
The New York City Bureau of Vital Statistics uses population counts in the United States (US) decennial Census and the yearly population estimates from the New York City Department of City Planning. In this section, we report on the composition of the New York City population by sex, age distribution, and race/ethnicity. Trend data use census annual population estimates, but 2010 data presentation uses 2010 census counts.
This section also includes a breakdown of birth, fertility, marriage, death, and infant mortality data from 1898 to the present (Table P1). Table P3 breaks down the number of marriages, births, deaths, and infant deaths by month and average per day. Tables P4 and P5 list the most popular baby names in New York City, listed historically back to 1898 and broken down by gender and ethnicity for current data. Please see Technical Notes sections “Population” and “Demographic Characteristics of Vital Events” for more detail on population and its usage.
• The age composition of New York City re-flects changes in life expectancy, immigration, and historic trends.
• The effect of the economic depression of the 1930s on the number of live births is seen in the lower percentage of residents younger than age 15 in 1940, while the post-World War II baby boom increased this segment rapidly after 1950.
• The proportion of residents aged 85 and older is greatest in the 2010 population. The pro-portion of residents aged 85 and older increased 1,600% from 1910 to 2010.
• This age-sex pyramid shows each age-sex group as a percentage of the total population.
• There are more females than males overall, 52.5% to 47.5%, and more females in every age group older than 19.
• The greatest difference is among those aged 85 and older, where there are more than twice as many women as men.
• The smaller populations of both males and fe-males in the 5-9 and 10-14 age groups reflect the lower number of births in the late 1990s and early 2000s compared to births in the past 5 years.
14
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
2010
Cen
sus
Year
s
Age Groups (Years)
29% 55% 14%
28%
24%
20%
21%
24%
24%
20%
20%
20%
3%
3%
55% 17% 4%
53% 22% 5%
47% 24% 7%
40% 26% 10%
41% 23% 11%
45% 21% 12%
48% 19% 12%
47% 21% 10%
16%53%
0.1%
0.1%
0.1%
0.2%
0.3%
0.4%
0.7%
1.1%
1.3%
1.5%
Under 15 15-44 45-64 65-84 85+
012345
80-84
75-79
70-74
65-69
60-64
55-59
50-54
45-49
40-44
35-39
30-34
25-29
20-24
15-19
10-14
5-9
0-4
0 1 2 3 4 5
85+
Percent of Population Percent of Population
Males Females
Age (Years)
18% 1.7%46% 24% 10%
Figure 1.2 Age-Sex Composition of the Population, New York City, 2010 Census
Figure 1.1 Age Composition of the Population, New York City, 1910-2010
Characteristics of the New York City Populaton - Overview
14
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
2010
Cen
sus
Year
s
Age Groups (Years)
29% 55% 14%
28%
24%
20%
21%
24%
24%
20%
20%
20%
3%
3%
55% 17% 4%
53% 22% 5%
47% 24% 7%
40% 26% 10%
41% 23% 11%
45% 21% 12%
48% 19% 12%
47% 21% 10%
16%53%
0.1%
0.1%
0.1%
0.2%
0.3%
0.4%
0.7%
1.1%
1.3%
1.5%
Under 15 15-44 45-64 65-84 85+
012345
80-84
75-79
70-74
65-69
60-64
55-59
50-54
45-49
40-44
35-39
30-34
25-29
20-24
15-19
10-14
5-9
0-4
0 1 2 3 4 5
85+
Percent of Population Percent of Population
Males Females
Age (Years)
18% 1.7%46% 24% 10%
Figure 1.2 Age-Sex Composition of the Population, New York City, 2010 Census
Figure 1.1 Age Composition of the Population, New York City, 1910-2010
Characteristics of the New York City Populaton - Overview
Figure P1. Age Composition of the Population, New York City, 1910-2010
Figure P2. Age-Sex Composition of the Population, New York City, 2010 Census
the new york City PoPulation
4
Table P1. Population, Fertility Rates, Marriages, Deaths, and Infant Mortality, New York City, 1898-2010
15
Live Births Fertility Rates Marriages‡ Deaths Infant MortalityRate per Per 1,000 Rate per Rate per Deaths Rate per
Total 1,000 Women Total 1,000 Total 1,000 Under 1,000 Year Population Reported* Population Aged 15-44 Reported* Population Reported* Population One Year* Live Births
* Figures prior to 1966 are averages across the years presented; single-year figures prior to 1966 appear in the annual summaries for 1965 and earlier. Figures for 1898-1913 births are estimated. † Population data may vary by publication year. See Technical Notes: Population, Citywide.‡ See Technical Notes: Vital Event Reporting.
516
Age
in
All
His
pani
cN
on-H
ispa
nic
Whi
teN
on-H
ispa
nic
Blac
kA
sian
and
Pac
ific
Isla
nder
Oth
er o
r Mul
tiple
Rac
eYe
ars
Tot
alM
ale
Fem
ale
Tot
alM
ale
Fem
ale
Tot
alM
ale
Fem
ale
Tot
alM
ale
Fem
ale
Tot
alM
ale
Fem
ale
Tot
alM
ale
Fem
ale
All
Age
s8,
175,
133
3,88
2,54
44,
292,
589
2,33
6,07
61,
130,
684
1,20
5,39
22,
722,
904
1,31
8,15
11,
404,
753
1,86
1,29
583
3,36
91,
027,
926
1,03
0,91
449
5,04
253
5,87
222
3,94
410
5,29
811
8,64
6U
nder
551
7,72
426
4,43
625
3,28
818
0,89
892
,376
88,5
2214
5,77
174
,773
70,9
9811
4,11
057
,621
56,4
8955
,270
28,6
2126
,649
21,6
7511
,045
10,6
305-
947
3,15
924
1,41
323
1,74
616
6,96
085
,015
81,9
4511
9,06
461
,349
57,7
1511
5,70
958
,423
57,2
8653
,900
27,7
9226
,108
17,5
268,
834
8,69
210
-14
468,
154
238,
596
229,
558
166,
886
85,1
6181
,725
107,
402
55,3
9152
,011
124,
750
62,7
6961
,981
53,0
6527
,214
25,8
5116
,051
8,06
17,
990
15-1
953
5,83
327
1,81
526
4,01
819
2,98
399
,260
93,7
2311
9,59
860
,127
59,4
7114
6,12
373
,293
72,8
3060
,082
30,5
9629
,486
17,0
478,
539
8,50
820
-24
642,
585
312,
967
329,
618
204,
084
105,
776
98,3
0819
5,06
090
,442
104,
618
143,
582
69,0
2574
,557
81,2
7839
,135
42,1
4318
,581
8,58
99,
992
25-2
973
0,19
034
8,04
838
2,14
220
4,68
110
3,82
010
0,86
126
9,76
012
8,15
814
1,60
213
5,63
461
,238
74,3
9610
0,35
745
,915
54,4
4219
,758
8,91
710
,841
30-3
466
2,25
532
0,49
734
1,75
818
9,87
994
,634
95,2
4523
2,43
111
8,03
011
4,40
112
6,50
155
,594
70,9
0795
,493
44,1
4851
,345
17,9
518,
091
9,86
035
-39
587,
407
285,
708
301,
699
171,
425
84,8
9786
,528
191,
573
100,
052
91,5
2112
1,60
452
,527
69,0
7786
,915
40,7
9746
,118
15,8
907,
435
8,45
540
-44
567,
280
274,
657
292,
623
165,
328
80,1
1285
,216
174,
241
91,5
8482
,657
133,
993
58,4
4475
,549
78,0
7937
,274
40,8
0515
,639
7,24
38,
396
45-4
956
5,69
227
0,85
729
4,83
515
5,25
772
,900
82,3
5717
2,18
589
,722
82,4
6314
4,23
763
,349
80,8
8878
,816
37,8
2240
,994
15,1
977,
064
8,13
350
-54
541,
684
254,
729
286,
955
136,
239
62,1
5774
,082
179,
581
89,6
8189
,900
136,
158
59,2
9276
,866
75,9
7437
,199
38,7
7513
,732
6,40
07,
332
55-5
947
5,53
521
8,46
625
7,06
911
2,26
249
,520
62,7
4217
7,56
785
,886
91,6
8111
1,61
947
,510
64,1
0963
,442
30,6
9132
,751
10,6
454,
859
5,78
660
-64
414,
477
185,
515
228,
962
91,8
6239
,548
52,3
1417
0,50
779
,894
90,6
1392
,994
38,2
9154
,703
50,6
6324
,016
26,6
478,
451
3,76
64,
685
65-6
929
7,16
712
8,75
416
8,41
366
,343
27,8
1938
,524
121,
292
55,3
0565
,987
71,4
0727
,907
43,5
0032
,330
15,1
8217
,148
5,79
52,
541
3,25
470
-74
234,
294
98,8
6713
5,42
751
,075
20,4
7430
,601
100,
220
44,5
4955
,671
53,1
9920
,098
33,1
0125
,754
12,0
2213
,732
4,04
61,
724
2,32
275
-79
178,
019
71,8
7210
6,14
736
,274
13,5
0222
,772
83,7
2436
,074
47,6
5037
,058
13,0
0624
,052
18,3
328,
262
10,0
702,
631
1,02
81,
603
80-8
414
2,27
252
,138
90,1
3424
,193
8,18
816
,005
77,6
5630
,166
47,4
9027
,014
8,37
718
,637
11,6
564,
742
6,91
41,
753
665
1,08
885
& O
ver
141,
406
43,2
0998
,197
19,4
475,
525
13,9
2285
,272
26,9
6858
,304
25,6
036,
605
18,9
989,
508
3,61
45,
894
1,57
649
71,
079
Dat
a So
urce
: US
Cen
sus
Bure
au, 2
010
Cen
sus.
Tabl
e P2
. Pop
ulat
ion
Estim
ates
by
Age
, Mut
ually
Exc
lusi
ve R
acia
l/Eth
nic
Gro
up, O
rigi
n, a
nd S
ex, N
ew Y
ork
City
, 201
0
6
Table P3. Marriages, Births, Deaths, and Infant Deaths by Month and Average per Day, New York City, 2010
1 Mary Mary Linda Jennifer Stephanie Ashley Emily Isabella* Sophia Isabella Isabella2 Catherine Marie Mary Jessica Jessica Samantha Ashley Sophia* Isabella Sophia Sophia3 Margaret Annie Barbara Melissa Ashley Kayla Kayla Emily Emily Mia Olivia4 Annie Margaret Patricia Nicole Jennifer Emily Sarah Ashley Olivia Emily Emily5 Rose Catherine Susan Michelle Amanda Brianna Isabella Sarah Sarah Olivia Madison 6 Marie Gloria Kathleen Elizabeth Samantha Sarah Samantha Kayla Madison Madison Mia7 Esther Helen Carol Lisa Nicole Jessica Sophia Mia Ashley Sarah Emma8 Sarah Teresa Nancy Christina Christina Nicole Nicole Olivia Mia Ashley Leah9 Frances Joan Margaret Tiffany Melissa Michelle Olivia Samantha Samantha Leah Sarah
10 Ida Barbara Diane Maria Michelle Amanda Rachel Rachel Emma Emma Chloe
1 John John Robert Michael Michael Michael Michael Daniel Jayden Jayden Jayden2 William William John David Christopher Justin Daniel Jayden Daniel Daniel Ethan3 Charles Joseph James Jason Jonathan Christopher Joshua Michael Michael Ethan Daniel4 George James Michael Joseph Anthony Matthew David Matthew Matthew Michael Jacob5 Joseph Richard William Christopher David Daniel Justin Justin David David David6 Edward Edward Richard Anthony Daniel Anthony Matthew Joshua Joshua Justin Justin7 James Robert Joseph John Joseph Joshua Anthony David Justin Matthew Michael8 Louis Thomas Thomas Daniel Matthew David Christopher Anthony Anthony Joshua Matthew9 Francis George Stephen Robert John Joseph Joseph Christopher Christopher Alexander Joseph
10 Samuel Louis David James Andrew Kevin Nicholas Joseph Ethan* Christopher JoshuaRyan*
* Tied ranks.
Table P5. Most Popular Baby Names by Sex and Mother’s Racial/Ethnic Group, New York City, 2010
17
Girls BoysRank Hispanic NH-Black NH-White Asian & P.I. Hispanic NH-Black NH-White Asian & P.I.
1 Isabella Madison Esther Sophia Jayden Jayden Joseph Ethan2 Mia Kayla Olivia Chloe Justin Joshua David Ryan 3 Emily Nevaeh Leah Emily Angel Elijah Jacob Justin4 Sophia London Sophia Olivia Jacob Jeremiah Michael Eric5 Ashley Makayla Emma* Isabella Christopher Ethan Daniel Lucas6 Camila Jada Rachel* Fiona* Alexander Aiden Moshe Kevin7 Madison Taylor Isabella Sarah* Daniel* Justin* Benjamin Jason8 Brianna Chloe Sarah Angelina Ethan* Michael* Matthew Daniel9 Gabriella Brianna* Chana Angela† Anthony Christian Alexander Jayden
* , † Tied ranks.NH=non-Hispanic; P.I.=Pacific Islander. Mothers of other, multiple race, or unknown ethnic group not shown.
7
Mortality overview
This section gives a broad understanding of mortality by cause in New York City and examines deaths due to specific causes and in subpopulations of New Yorkers. Mortality data are derived from death certificates, which contain demographic information such as the decedents’ sex, race, and residence as well as information about the timing and cause of the death. In New York City, these certificates are completed by physicians and funeral directors, then more than 93% are submitted electronically through the Electronic Death Registration System (EDRS). The Office of Chief Medical Examiner investigates all deaths not due to natural causes, such as accidents and suicides.
Select Key Findings:
• The 2010 NYC death rate reached an historic low of 6.4 deaths per 1,000 population, a 14.7% decline from 7.5 in 2001 and a 1.5% decline from 6.5 in 2009.• Heart disease, cancer, and Influenza/pneumonia continue to rank as the top three leading causes of death and all have declined in the last decade. The sharper decline in heart disease since last year (11.3%) is likely partly attributed to a cause of death quality improvement intervention (see Special Section in the Population and Mortality Report).• First appearing among the top 10 leading causes of death in 2002, essential hypertension and hypertensive renal disease death rates increased 11.3% since 2009, and 33.3% since 2001, the greatest percent increase among all leading causes in the last 10 years. • The 2009 New York City life expectancy, the latest year this statistic is available, reached yet another historic high of 80.6 years, a 3.7% (35 months) increase since 2000 and a 0.5% (5 months) increase since 2008.• Premature deaths (before age 65) accounted for 30% of all deaths in New York City. The prema-ture death rate decreased to 2.2 per 1,000 population, a 15.4% decline since 2001, and remained stable since 2009.
8
• This figure displays the top five leading causes of death in 2001 and their trends over a ten-year period.
• Deaths due to heart disease decreased 25.9%. A portion of this decrease is likely due to a 2009 intervention to reduce overreporting of heart disease as a cause of death. (See Special Section for full details.)
• In 2010, there were 1,583 cerebrovascular disease deaths, a 16.1% decrease from 1,887 deaths in 2001.
• Deaths caused by cancer decreased 5.0% from 2001 to 2010. For trends in leading types of cancer deaths, see Figure M2.
• In 2010, there were 832 deaths due to HIV, a 53.1% decrease from 1,774 deaths in 2001.
• During the last decade, influenza and pneumo-nia deaths fluctuated between a low of 2,247 in 2007 and a high of 3,003 in 2004.
21
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
5
10
15
20
25
Num
ber
of D
e ath
s (T
hou s
ands
)
Heart Disease Malignant Neoplasms (Cancer)Influenza and Pneumonia Cerebrovascular Diseases
HIV Disease
Figure 2.1 Number of Deaths from Leading Causes, New York City, 2001-2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
500
1,000
1,500
2,000
2,500
3,000
3,500
Num
ber
of D
e ath
s
Trachea, bronchus, and lung Colorectal
Breast (Female) Pancreas
Prostate
Figure 2.2. Number of Deaths from Leading Causes of Malignant Neoplasms (Cancer) New York City, 2001-2010
• The leading category of cancer death in 2010 was trachea, bronchus, and lung. While this category caused most cancer deaths, it fell 7.1% from 2001 to 2010.
• Colorectal cancer deaths, the second leading cause of cancer deaths, decreased 12.7%, from 1,595 deaths in 2001 to 1,393 deaths in 2010.
• Breast cancer deaths decreased more than other leading causes of cancer death. In 2010, there were 1,068 deaths caused by breast cancer, a 20.8% decrease from 1,348 deaths in 2001.
• Although deaths caused by prostate can-cer have declined 6.7% overall in the last decade, they increased 10.2% from 2006 to 2010.
21
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
5
10
15
20
25
Num
ber
of D
e ath
s (T
hou s
ands
)
Heart Disease Malignant Neoplasms (Cancer)Influenza and Pneumonia Cerebrovascular Diseases
HIV Disease
Figure 2.1 Number of Deaths from Leading Causes, New York City, 2001-2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
500
1,000
1,500
2,000
2,500
3,000
3,500
Num
ber
of D
e ath
s
Trachea, bronchus, and lung Colorectal
Breast (Female) Pancreas
Prostate
Figure 2.2. Number of Deaths from Leading Causes of Malignant Neoplasms (Cancer) New York City, 2001-2010
Figure M1. Deaths From Leading Causes, New York City, 2001-2010
Figure M2. Leading Causes of Death From Malignant Neoplasms (Cancers),
New York City, 2001-2010
922
BORO
UG
H O
F RE
SID
ENC
ESE
XIC
D-1
0/IC
D-9
Stat
en
Resi
denc
eC
ompa
rabi
lity
Cau
se (C
odes
from
Inte
rnat
iona
l Cla
ssifi
catio
n of
Dis
ease
s (IC
D),
Tent
h Re
visi
on, 1
999)
Tot
alM
anha
ttan
Br
onx
Bro
okly
n Q
ueen
sIs
land
Non
resi
dent
s U
nkno
wn
Mal
eFe
mal
e**
Ratio
Tota
l Dea
ths
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
52,5
759,
451
8,49
415
,253
12,1
553,
273
3,85
495
25,8
6326
,712
Nat
ural
Cau
ses
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.49
,811
9,00
78,
036
14,4
6011
,555
3,09
03,
610
5323
,878
25,9
33
1.
*Tu
berc
ulos
is (A
16-A
19) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
264
48
73
–
–
188
0.88
R
espi
rato
ry tu
berc
ulos
is (A
16) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.19
32
66
2
–
–16
30.
94
2.*
Sept
icem
ia (A
40-A
41) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.35
747
7014
076
1212
–15
320
41.
19
3.*
Vira
l Hep
atiti
s (B
15-B
19) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
. .
352
7583
8549
2534
123
911
30.
71
4.*
Hum
an Im
mun
odef
icie
ncy
Viru
s (H
IV) D
isea
se (B
20-B
24) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
832
171
253
262
7927
391
574
258
1.08
5.
All
Oth
er In
fect
ive
and
Para
sitic
Dis
ease
s (R
est o
f A01
-B99
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
384
5952
145
8118
29
–
160
224
6.
*M
alig
nant
Neo
plas
ms
(C00
-C97
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
13,3
332,
495
1,92
33,
686
2,88
483
61,
507
26,
603
6,73
01.
01
Lip
, ora
l cav
ity, a
nd p
hary
nx (C
00-C
14) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
216
4926
7140
1119
–14
175
0.96
Eso
phag
us (C
15) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
273
7435
6440
1743
–19
479
0.99
S
tom
ach
(C16
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
439
6076
141
102
1347
–22
621
31.
01
C
olon
, rec
tum
, and
anu
s (C
18-C
21) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
1,39
322
621
541
433
490
114
–73
565
81.
00
Liv
er a
nd in
trahe
patic
bile
duc
ts (C
22) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
.66
313
311
617
413
041
69
–
458
205
0.96
P
ancr
eas
(C25
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
922
188
108
260
204
6299
143
348
91.
00
Lar
ynx
(C32
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.10
225
1830
159
5
–
8022
1.01
T
rach
ea, b
ronc
hus,
and
lung
(C33
-C34
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.2,
946
576
428
795
622
238
286
11,
553
1,39
30.
98
Mel
anom
a of
ski
n (C
43) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
139
249
3630
832
–79
600.
95
Mes
othe
liom
a (C
45) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
265
–7
51
8
–
215
B
reas
t (C
50) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
1,08
419
917
532
521
573
97
–
161,
068
1.01
C
ervi
x ut
eri (
C53
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
129
2025
3535
410
–
–
129
1.00
C
orpu
s ut
eri a
nd u
teru
s, p
art u
nspe
cifie
d (C
54-C
55) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
330
4651
107
7416
36
–
–33
01.
02
Ova
ry (C
56) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
368
8146
8690
1946
–
–
368
0.99
P
rost
ate
(C61
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
.77
715
912
421
617
437
67
–
777
–1.
01
Kid
ney
and
rena
l pel
vis
(C64
-C65
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
255
2934
8457
1635
–16
689
1.00
B
ladd
er (C
67) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
. .
356
7840
7694
2345
–23
711
91.
00
Men
inge
s, b
rain
, and
oth
er p
arts
of c
entra
l ner
vous
sys
tem
(C70
-C72
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
257
5234
6162
1929
–13
212
50.
98
Lym
phoi
d, h
emat
opoi
etic
and
rela
ted
tissu
es (C
81-C
96) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
. .
1,34
124
115
935
426
978
240
–71
262
91.
00
Hod
gkin
's d
isea
se (C
81) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
.. .
.37
51
147
19
–22
151.
00
Non
-Hod
gkin
's ly
mph
oma
(C82
-C85
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
465
7861
129
9330
74
–
235
230
0.98
M
ultip
le m
yelo
ma
and
imm
unop
rolif
erat
ive
neop
lasm
s (C
88, C
90) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
287
6243
7165
1432
–14
714
01.
04
Leu
kem
ia (C
91-C
95) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
.. .
.54
996
5413
910
433
123
–30
724
21.
01
7.*
In S
itu o
r Ben
ign
Neo
plas
ms
and
Neo
plas
ms
of U
ncer
tain
or U
nkno
wn
Beha
vior
(D00
-D48
) . .
. .. .
.26
852
2167
5314
61
–
136
132
1.63
8.
*A
nem
ias
(D50
-D64
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.71
1121
2311
14
–43
280.
94
9.*
Dia
bete
s M
ellit
us (E
10-E
14) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
1,71
128
032
157
236
010
473
178
792
41.
02 1
0.†
Men
tal a
nd B
ehav
iora
l Dis
orde
rs D
ue to
Use
of A
lcoh
ol (F
10) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
203
4436
5152
114
516
835
11.
Men
tal a
nd B
ehav
iora
l Dis
orde
rs D
ue to
Use
of P
sych
oact
ive
Subs
tanc
e Ex
clud
ing
Alc
ohol
and
Tob
acco
(F11
-F16
, F18
-F19
) ‡ .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.14
441
688
93
141
107
37 1
2.
Dis
ease
s of
Ner
vous
Sys
tem
(G00
-G98
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.1,
162
338
192
276
256
4852
–47
568
7
*
M
enin
gitis
(G00
,G03
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
242
512
41
–
–
1113
1.01
*
Par
kins
on's
dis
ease
(G20
-G21
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
196
6129
4637
1112
–11
185
1.01
*
Alz
heim
er's
dis
ease
(G30
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
577
175
9813
114
116
16
–
155
422
1.58
13.
Maj
or C
ardi
ovas
cula
r Dis
ease
s (I0
0-I7
8) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .. .
.21
,043
3,50
03,
226
6,24
15,
473
1,44
91,
124
309,
827
11,2
161.
00
*
D
isea
ses
of h
eart
(I00-
I09,
I11,
I13,
I20-
I51)
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
.17
,929
2,89
62,
696
5,30
94,
759
1,33
590
925
8,46
69,
463
0.99
A
cute
rheu
mat
ic fe
ver
and
chro
nic
rheu
mat
ic h
eart
dis
ease
s (I0
0-I0
9) .
. . .
. . .
. . .
. . .
. . .
. . .
.35
98
56
25
–11
240.
88
Hyp
erte
nsiv
e he
art d
isea
se (I
11) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
1,83
139
338
261
231
172
592
881
950
0.80
H
yper
tens
ive
hear
t and
rena
l dis
ease
(I13
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
120
2039
3718
24
–63
571.
13
Chr
onic
isch
emic
hea
rt di
seas
e (I2
0, I2
5) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .. .
.12
,261
1,83
51,
719
3,52
63,
657
917
589
185,
800
6,46
11.
01
Acu
te m
yoca
rdia
l inf
arct
ion
(I21-
I22)
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
2,29
633
534
276
045
528
911
05
1,09
01,
206
0.99
C
ardi
omyo
path
y (I4
2) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
. .
154
3125
3329
1026
–10
549
Con
tinue
d on
the
next
pag
e.
Tabl
e M
1. D
eath
s by
Lea
ding
and
Sel
ecte
d U
nder
lyin
g C
ause
s, B
orou
gh o
f Res
iden
ce, S
ex, a
nd IC
D-1
0/IC
D-9
Com
para
bilit
y Ra
tio,
New
Yor
k C
ity, 2
010
10
22
BO
RO
UG
H O
F R
ESID
ENC
ESE
XIC
D-1
0/IC
D-9
Stat
en
Res
iden
ceC
ompa
rabi
lity
Cau
se (C
odes
from
Inte
rnat
iona
l Cla
ssifi
catio
n of
Dis
ease
s (IC
D),
Tent
h R
evis
ion,
199
9)
T
otal
Man
hatta
n
Bro
nx B
rook
lyn
Que
ens
Isla
ndN
onre
side
nts
Unk
now
nM
ale
Fem
ale
Rat
io
H
eart
failu
re (I
50) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
336
8051
8987
1316
–12
920
71.
04
*
E
ssen
tial h
yper
tens
ion
and
hype
rten
sive
ren
al d
isea
se (I
10, I
12, I
15) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.1,
046
200
171
352
227
3559
243
960
71.
12
*
C
ereb
rova
scul
ar d
isea
ses
(I60-
I69)
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.1,
583
305
259
467
379
6111
11
677
906
1.05
*
Ath
eros
cler
osis
(I70
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.20
555
5137
495
8
–
8711
80.
97
*
A
ortic
ane
urys
m a
nd d
isse
ctio
n (I7
1) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.15
523
2046
297
291
108
471.
00 1
4.*
Influ
enza
and
Pne
umon
ia (J
09-J1
8) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
2,45
741
243
374
661
814
410
31
1,16
81,
289
0.70
H1N
1 flu
(J09
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
61
12
–1
1
–
15
0.96
15.
*C
hron
ic L
ower
Res
pira
tory
Dis
ease
s (J4
0-J4
7) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
1,71
633
034
945
735
913
682
381
789
91.
04
E
mph
ysem
a (J4
3) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
. .
132
2324
3434
134
–69
630.
96
Ast
hma
(J45-
J46)
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
.18
522
6261
312
52
9887
0.89
16.
Pneu
moc
onio
sis
Due
to A
sbes
tos
and
Oth
er M
iner
al F
ibre
s (J6
1) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
2
–
–
–
1
–
1
–
2
–
17.
*Pn
eum
oniti
s D
ue to
Sol
ids
and
Liqu
ids
(J69)
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
265
57
7
–
2
–
1511
1.10
18.
*Pe
ptic
Ulc
er (K
25-K
28) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
.. .
.97
267
2926
63
–47
500.
97 1
9.*
Chr
onic
Liv
er D
isea
se a
nd C
irrh
osis
(K70
, K73
-K74
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
521
8695
150
119
2345
335
216
91.
03
Alc
ohol
ic li
ver
dise
ase
(K70
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.35
157
6110
581
1430
325
992
1.00
20.
*C
hole
lithi
asis
and
Oth
er D
isor
ders
of G
allb
ladd
er (K
80-K
82).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.65
1011
1915
46
–25
400.
96 2
1.*
Nep
hriti
s, N
ephr
otic
Syn
drom
e, a
nd N
ephr
osis
(N00
-N07
, N17
-N19
, N25
-N27
). . .
. . .
. . .
. . .
. ..
. .
487
6571
192
110
2425
–24
624
11.
26
Ren
al fa
ilure
(N17
-N19
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.40
948
5817
090
2221
–20
620
31.
33 2
2.*
Preg
nanc
y, C
hild
birt
h, a
nd th
e Pu
erpe
rium
(O00
-O99
). . .
. . .
. . .
. . .
. . .
. .
. . .
. . .
. . .
. . .
. . .
. . .
.36
18
166
14
–
–
361.
14
Mat
erna
l cau
ses|
| (A
34, O
00-O
95, O
98-O
99).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
301
515
41
4
–
–30
23.
*C
erta
in C
ondi
tions
Ori
gina
ting
in th
e Pe
rina
tal P
erio
d (P
00-P
96) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
.34
146
6296
7223
42
–
183
158
1.08
24.
*C
onge
nita
l Mal
form
atio
ns, D
efor
mat
ions
, and
Chr
omos
omal
Abn
orm
aliti
es (Q
00-Q
99) .
. . .
. . .
.. .
.22
826
4659
4014
43
–
114
114
0.90
25.
Sym
ptom
s, S
igns
, and
Abn
orm
al F
indi
ngs,
Not
Els
ewhe
re C
lass
ified
(R00
-R94
, R96
-R99
) . .
. . .
. . .
.32
311
633
8759
1214
212
719
60.
98
Pen
ding
fina
l det
erm
inat
ion
(R99
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
0
–
–
–
–
–
–
–
–
–
26.
Sudd
en In
fant
Dea
th S
yndr
ome
(R95
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
41
12
–
–
–
–
31
1.06
27.
All
Oth
er N
atur
al C
ause
s (R
est o
f A00
-R99
). . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
.3,
622
766
645
1,03
673
315
228
73
1,48
92,
133
Exte
rnal
Cau
ses
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
2,76
444
445
879
360
018
324
442
1,98
577
9
Inju
ry b
y Fi
rear
ms
(W32
-W34
, X72
-X74
, X93
-X95
, Y22
-Y24
, Y35
.0).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.39
133
8316
573
1025
236
922
1.00
28.
†A
ccid
ents
(V01
-X59
,Y85
-Y86
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
1,45
424
323
639
430
611
614
019
985
469
1.03
A
ccid
enta
l poi
soni
ng b
y ps
ycho
activ
e su
bsta
nces
, exc
ludi
ng a
lcoh
ol a
nd
to
bacc
o (X
40-X
42, X
44) ‡
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.52
169
9915
199
5051
236
415
71.
04
†
Men
tal a
nd b
ehav
iora
l dis
orde
rs d
ue to
use
of o
r ac
cide
ntal
poi
soni
ng b
y ps
ycho
activ
e s
ubst
ance
exc
ludi
ng a
lcoh
ol a
nd to
bacc
o (F
11-F
16, F
18-F
19, X
40-X
42, X
44) ‡
. . .
. . .
. . .
. . .
. . .
. .
665
110
167
159
108
5365
347
119
4
†
Acc
iden
ts e
xcep
t poi
soni
ng b
y ps
ycho
activ
e su
bsta
nce
use.
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
933
174
137
243
207
6689
1762
131
2
M
otor
veh
icle
acc
iden
ts ¶
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. . .
279
4045
6966
2728
419
881
0.95
Acc
iden
tal f
alls
(W00
-W19
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.36
788
4690
8817
344
216
151
0.77
29.
*In
tent
iona
l Sel
f-har
m (S
uici
de) (
U03
, X60
-X84
, Y87
.0) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
503
101
5411
614
827
507
374
129
1.00
30.
*A
ssau
lt (H
omic
ide)
(U01
-U02
, X85
-Y09
, Y87
.1) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. .55
150
131
214
9922
332
462
891.
00 3
1.*
Lega
l Int
erve
ntio
n (Y
35, Y
89.0
) . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.6
–3
21
–
–
–6
–0.
94 3
2.Ev
ents
of U
ndet
erm
ined
Inte
nt (Y
10-Y
34, Y
87.2
, Y89
.9).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .. .
.21
745
2959
3716
1714
145
720.
99 3
3.*
Com
plic
atio
ns o
f Med
ical
and
Sur
gica
l Car
e (Y
40-Y
84, Y
88).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.33
55
89
24
–13
200.
63 3
4.*
Ope
ratio
ns o
f War
and
The
ir S
eque
lae
(Y36
,Y89
.1).
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
0
–
–
–
–
–
–
–
–
–
* E
ligib
le to
be
rank
ed a
s le
adin
g ca
uses
nat
iona
lly a
nd in
New
Yor
k C
ity.
† T
he fo
llow
ing
caus
e gr
oups
are
not
ran
ked
as le
adin
g ca
uses
nat
iona
lly, b
ut a
re e
ligib
le to
be
rank
ed a
s le
adin
g ca
uses
in N
ew Y
ork
City
bec
ause
of t
he n
umbe
r of
dea
ths
and
thei
r pu
blic
hea
lth im
port
ance
: "M
enta
l and
beh
avio
ral d
isor
ders
due
to u
se o
f al
coho
l", "
Men
tal a
nd b
ehav
iora
l dis
orde
rs d
ue to
use
of p
sych
oact
ive
subs
tanc
es e
xclu
ding
alc
ohol
and
toba
cco"
, an
d "A
ccid
ents
", w
hich
in N
YC
exc
lude
s po
ison
ing
by p
sych
oact
ive
subs
tanc
es (e
xclu
ding
alc
ohol
and
toba
cco)
.‡
See
Tech
nica
l Not
es: D
eath
s, D
rug-
Rel
ated
Dea
ths.
Tabl
e M
1. D
eath
s by
Lea
ding
and
Sel
ecte
d U
nder
lyin
g C
ause
s, B
orou
gh o
f Res
iden
ce, S
ex, a
nd IC
D-1
0/IC
D-9
Com
para
bilit
y Ra
tio,
New
Yor
k C
ity, 2
010
(Con
tinue
d)
11 24
Age
in
All
His
pani
cN
on-H
ispa
nic
Whi
teN
on-H
ispa
nic
Blac
kA
sian
and
Pac
ific
Isla
nder
Oth
er/M
ultip
leRa
ce/U
nkno
wn
Yea
rsTo
tal
Mal
eFe
mal
eTo
tal
Mal
eFe
mal
eTo
tal
Mal
eFe
mal
eTo
tal
Mal
eFe
mal
eTo
tal
Mal
eFe
mal
eTo
tal
Mal
eFe
mal
eN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.Ra
teN
o.N
o.N
o.A
ll A
ges
52,5
756.
425
,863
6.7
26,7
126.
29,
340
4.0
4,89
84.
34,
442
3.7
25,7
909.
512
,277
9.3
13,5
139.
613
,637
7.3
6,55
97.
97,
078
6.9
3,15
73.
11,
776
3.6
1,38
12.
665
135
329
8
Age
-A
djus
ted
6.3
7.8
5.2
5.6
7.3
4.5
6.4
7.7
5.3
7.7
9.9
6.3
4.0
5.0
3.2
Und
er 5
694
1.3
373
1.4
321
1.3
198
1.1
110
1.2
881.
015
11.
082
1.1
691.
027
02.
414
02.
413
02.
361
1.1
321.
129
1.1
149
55-
951
0.1
290.
122
0.1
150.
110
0.1
50.
110
0.1
70.
13
0.1
200.
29
0.2
110.
25
0.1
30.
12
0.1
1-
110
-14
780.
245
0.2
330.
123
0.1
100.
113
0.2
280.
318
0.3
100.
219
0.2
130.
26
0.1
60.
13
0.1
30.
12
11
15-1
921
00.
417
30.
637
0.1
610.
354
0.5
70.
137
0.3
280.
59
0.2
102
0.7
861.
216
0.2
70.
14
0.1
30.
13
12
20-2
438
00.
627
60.
910
40.
311
00.
576
0.7
340.
391
0.5
720.
819
0.2
144
1.0
105
1.5
390.
527
0.3
190.
58
0.2
84
425
-29
442
0.6
313
0.9
129
0.3
130
0.6
950.
935
0.3
111
0.4
720.
639
0.3
160
1.2
122
2.0
380.
537
0.4
220.
515
0.3
42
230
-34
458
0.7
314
1.0
144
0.4
141
0.7
971.
044
0.5
111
0.5
750.
636
0.3
165
1.3
117
2.1
480.
732
0.3
200.
512
0.2
95
435
-39
592
1.0
367
1.3
225
0.7
160
0.9
102
1.2
580.
716
30.
911
01.
153
0.6
212
1.7
120
2.3
921.
347
0.5
290.
718
0.4
106
440
-44
1,04
91.
865
82.
439
11.
329
81.
819
12.
410
71.
328
91.
718
52.
010
41.
338
62.
922
93.
915
72.
160
0.8
391.
021
0.5
1614
245
-49
1,74
03.
11,
055
3.9
685
2.3
414
2.7
246
3.4
168
2.0
569
3.3
377
4.2
192
2.3
636
4.4
359
5.7
277
3.4
971.
255
1.5
421.
024
186
50-5
42,
559
4.7
1,58
16.
297
83.
457
34.
236
45.
920
92.
882
94.
652
75.
930
23.
493
26.
854
09.
139
25.
118
22.
411
83.
264
1.7
4332
1155
-59
3,24
66.
82,
006
9.2
1,24
04.
871
26.
345
89.
225
44.
01,
184
6.7
764
8.9
420
4.6
1,09
99.
861
813
.048
17.
520
33.
213
54.
468
2.1
4831
1760
-64
4,01
99.
72,
354
12.7
1,66
57.
378
28.
546
411
.731
86.
11,
646
9.7
1,01
112
.763
57.
01,
253
13.5
668
17.4
585
10.7
279
5.5
177
7.4
102
3.8
5934
2565
-69
4,12
613
.92,
332
18.1
1,79
410
.783
612
.650
318
.133
38.
61,
710
14.1
973
17.6
737
11.2
1,28
818
.066
623
.962
214
.323
87.
415
310
.185
5.0
5437
1770
-74
4,70
320
.12,
523
25.5
2,18
016
.195
818
.853
926
.341
913
.72,
024
20.2
1,09
124
.593
316
.81,
351
25.4
670
33.3
681
20.6
311
12.1
191
15.9
120
8.7
5932
2775
-79
5,50
230
.92,
842
39.5
2,66
025
.198
227
.150
537
.447
720
.92,
738
32.7
1,44
340
.01,
295
27.2
1,35
736
.665
350
.270
429
.336
319
.820
024
.216
316
.262
4121
80-8
46,
746
47.4
3,18
961
.23,
557
39.5
1,04
843
.345
655
.759
237
.03,
778
48.7
1,85
261
.41,
926
40.6
1,42
452
.760
171
.782
344
.241
535
.624
351
.217
224
.981
3744
≥85
15,9
8011
3.0
5,43
312
5.7
10,5
4710
7.4
1,89
997
.761
811
1.9
1,28
192
.010
,321
121.
03,
590
133.
16,
731
115.
42,
819
110.
184
312
7.6
1,97
610
4.0
787
82.8
333
92.1
454
77.0
154
4910
5M
ean
age
atde
ath
72.3
68.4
76.0
67.2
63.3
71.4
77.1
73.3
80.5
67.3
63.2
71.2
70.2
68.2
72.7
68.7
64.8
73.2
Med
ian
age
atde
ath
7672
8171
6676
8177
8470
6674
7472
7873
6780
* Po
pula
tion
data
are
from
US
Cen
sus
Apr
il 1,
201
0.
Tabl
e M
2. D
eath
s an
d C
rude
Dea
th R
ates
per
1,0
00 P
opul
atio
n* b
y A
ge, R
acia
l/Eth
nic
Gro
up, a
nd S
ex, N
ew Y
ork
City
, 201
0
12
Table M3. Deaths by Ancestry* and Borough of Residence, New York City, 2010
• The community district with the highest age-adjusted death rate was Brownsville (9.2). Other community districts with high age-adjusted death rates were Morissania (8.5), The Rockaways (8.1), Central Harlem (8.0), and Bedford-Stuyvesant (8.0).
• The lowest age-adjusted death rate was found in Bayside (3.6). Four other community districts had age-adjusted death rates below 4.5: Queens Village (4.0), Greenwich Village/SoHo (4.3), Mur-ray Hill (4.4), and Flushing (4.4).
*Race categories changed in 2003. See the Technical Notes in the 2003 Annual Summary for a more detailed explanation.
Age-adjusted Death Rate per 1,000 Population
7.3 - 9.2
6.2 - 7.2
5.8 - 6.1
4.9 - 5.7
3.6 - 4.8
Citywide Rate: 6.2
Parks & Airports
Figure M3. Deaths by Racial/Ethnic Group*, New York City, 2001-2010
27
29%
Figure 2.3 Deaths by Ethnic Group,* New York City, 2001-2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
10
20
30
40
50
60
70
Tho u
sand
s
Other and Unknown HispanicAsian and Pacific Islander Non-Hispanic WhiteNon-Hispanic Black
Overall Deaths
Map M1. Age-adjusted Death Rate by Community District of Residence, New York City, 2010
• From 2001 to 2010, the total number of deaths decreased 12.7%, from 60,218 to 52,575.
• Deaths to non-Hispanic whites account for the majority of total deaths and de-creased 21.8% in the last decade.
• Non-Hispanic black deaths also de-creased from 2001 to 2010, with a 11.7% decline.
• In the same time period, deaths among Asians and Pacific Islanders and Hispan-ics increased 30.1% and 10.5%, respec-tively. The trend coincided with a large increase in the Asian and Pacific Islander and Hispanic populations in New York City.
15
Table M7. Leading Causes of Death in Specified Age Groups, Overall and by Sex, New York City, 2010
28
All Male Female
Rank ALL AGES Deaths Percent Deaths Percent Deaths Percent1 Diseases of Heart 17,929 34.1 8,466 32.7 9,463 35.42 Malignant Neoplasms 13,333 25.4 6,603 25.5 6,730 25.23 Influenza and Pneumonia 2,457 4.7 1,168 4.5 1,289 4.84 Chronic Lower Respiratory Diseases 1,716 3.3 817 3.2 899 3.45 Diabetes Mellitus 1,711 3.3 787 3.0 924 3.56 Cerebrovascular Diseases 1,583 3.0 677 2.6 906 3.47 Essential Hypertension and Hypertensive Renal Disease 1,046 2.0 439 1.7 607 2.38 Accidents Except Poisoning by Psychoactive Substance 933 1.8 621 2.4 312 1.29 Human Immunodeficiency Virus (HIV) Disease 832 1.6 574 2.2 258 1.010 Use of or Poisoning by Psychoactive Substance 665 1.3 471 1.8 194 0.7
All Other Causes 10,370 19.7 5,240 20.3 5,130 19.2Total 52,575 100.0 25,863 100.0 26,712 100.0
Rank < 1 YEAR Deaths Percent Deaths Percent Deaths Percent1 Short Gestation and Low Birthweight 146 24.0 78 23.8 68 24.22 Congenital Malformations, Deformations 118 19.4 58 17.7 60 21.43 Cardiovascular Disorders Originating in the Perinatal Period 69 11.3 42 12.8 27 9.64 External Causes 64 10.5 41 12.5 23 8.25 Respiratory Distress of Newborn 22 3.6 10 3.0 12 4.36 Newborn Affected by Complications of Placenta 17 2.8 7 2.1 10 3.67 Necrotizing Enterocolitis of Newborn 16 2.6 10 3.0 6 2.18 Influenza and Pneumonia 12 2.0 7 2.1 5 1.89 Other Respiratory Conditions Originating in the Perinatal Period 11 1.8 6 1.8 5 1.810 Neonatal Hemorrhage 9 1.5 7 2.1 2 0.7
All Other Causes 125 20.5 62 18.9 63 22.4Total 609 100.0 328 100.0 281 100.0
All Other Causes 2,312 14.5 705 13.0 1,607 15.2Total 15,980 100.0 5,433 100.0 10,547 100.0
Table M7. Leading Causes of Death in Specified Age Groups, Overall and by Sex, New York City, 2010 (Continued)
17
Figure M4. Leading Causes of Death for Males, New York City, 2010
35.4%
25.2%
4.8% 3.5%
3.4%
27.7%
Diseases of Heart Malignant Neoplasms (Cancer)Influenza and Pneumonia Diabetes MellitusCerebrovascular Diseases All Other Causes
Figure 2.4 Leading Causes of Death for Males, New York City, 2010
31
Figure 2.5 Leading Causes of Death for Females, New York City, 2010
32.7%
25.5%
4.5% 3.2%
3.0%
31.0%
Diseases of Heart Malignant Neoplasms (Cancer)Influenza and Pneumonia Chronic Lower Respiratory DiseaseDiabetes Mellitus All Other Causes
35.4%
25.2%
4.8% 3.5%
3.4%
27.7%
Diseases of Heart Malignant Neoplasms (Cancer)Influenza and Pneumonia Diabetes MellitusCerebrovascular Diseases All Other Causes
Figure 2.4 Leading Causes of Death for Males, New York City, 2010
31
Figure 2.5 Leading Causes of Death for Females, New York City, 2010
32.7%
25.5%
4.5% 3.2%
3.0%
31.0%
Diseases of Heart Malignant Neoplasms (Cancer)Influenza and Pneumonia Chronic Lower Respiratory DiseaseDiabetes Mellitus All Other Causes
Figure M5. Leading Causes of Death for Females, New York City, 2010
• In 2010, the leading cause of death for males was heart disease, accounting for 32.7%.
• Malignant neoplasms caused more than a quarter of deaths (25.5%) among males in 2010.
• Approximately 4.5% of deaths among men were caused by influenza and pneumonia, 3.2% by chronic lower respiratory disease, and 3.0% by diabetes mellitus.
• Similar to males, the leading causes of death for females in 2010 were heart disease (35.4%) and ma-lignant neoplasms (25.2%).
• In 2010, approximately 4.8% of deaths among women were caused by influenza and pneumonia, 3.5% by diabetes mellitus, and 3.4% by cerebrovas-cular diseases.
1830
All Male Female
Rank Puerto Rican Deaths Percent Deaths Percent Deaths Percent1 Diseases of Heart 1,529 29.6 765 28.0 764 31.42 Malignant Neoplasms 1,047 20.2 557 20.4 490 20.13 Influenza and Pneumonia 254 4.9 130 4.8 124 5.14 Diabetes Mellitus 243 4.7 99 3.6 144 5.95 Chronic Lower Respiratory Diseases 197 3.8 92 3.4 105 4.36 Human Immunodeficiency Virus (HIV) Disease 196 3.8 135 4.9 61 2.57 Cerebrovascular Diseases 157 3.0 72 2.6 85 3.58 Use of or Poisoning by Psychoactive Substance 131 2.5 100 3.7 31 1.39 Chronic Liver Disease and Cirrhosis 119 2.3 85 3.1 34 1.410 Accidents Except Poisoning by Psychoactive Substance 96 1.9 66 2.4 30 1.2
All Other Causes 1,203 23.3 634 23.2 569 23.3Total 5,172 100.0 2,735 100.0 2,437 100.0
All Other Causes 2,623 19.2 1,228 18.7 1,395 19.7Total 13,637 100.0 6,559 100.0 7,078 100.0
Note: For each racial/ethnic group, the 10 leading causes of death are listed in decreasing order of frequency for that racial/ethnic group overall. * Decedents of other or multiple races or with unknown ethnicities are not shown.
Table M8. Leading Causes of Death in Specified Racial/Ethnic Groups* by Sex, New York City, 2010
19
Heart Disease Age-adjusted Death Rateper 100,000 Population
237.5 - 366.2
216.5 - 237.4
195.2 - 216.4
160.3 - 195.1
127.5 - 160.2
Citywide Rate: 211.1
Parks & Airports
Malignant Neoplasms (Cancer) Age-adjusted Death Rateper 100,000 Population
165.2 - 201.5
151.5 - 165.1
143.9 - 151.4
124.6 - 143.8
99.8 - 124.5
Citywide Rate: 160.3
Parks & Airports
Map M2. Heart Disease Age-adjusted Death Rate by Community District of Residence,
New York City, 2010
Map M3. Malignant Neoplasms (Cancer) Age-adjusted Death Rate by Community District of Residence,
New York City, 2010
• The community district with the highest age-adjusted death rate for heart disease was The Rockaways (366.2 per 100,000 residents). Other community districts with high age-adjusted heart disease death rates were Port Richmond (294.4), followed by Willowbrook/South Beach (270.6), Bedford-Stuyves-ant (268.2), and Brownsville (267.8).
• Greenwich Village/SoHo had the lowest age-adjusted death rate for heart disease (127.5). Four other community districts had rates below 140: Battery Park/Tribeca (132.3), Upper East Side (138.1), Queens Village (138.1), and Bayside (139.7).
• In 2010, the age-adjusted cancer death rate was 201.5 per 100,000 residents in Browsnville, the highest rate of any commu-nity district. Other community districts with high age-adjusted cancer death rates included: Morrisania (198.6), Central Harlem (190.4), Port Richmond (182.3), and Coney Island (179.8).
• The lowest age-adjusted cancer death rate was found in Jackson Heights (99.8). Four other community districts had age-adjusted death rates below 112: Queens Village (99.9), Bayside (104.5), Fresh Meadows/Briarwood (110.5), and Flushing (111.3).
20
All Male Female
Rank Cause of Death Deaths Percent Deaths Percent Deaths Percent1 Malignant Neoplasms 4,463 28.8 2,246 23.5 2,217 37.1
Trachea, bronchus, and lung 901 5.8 498 5.2 403 6.7 Breast 462 3.0 6 0.1 456 7.6 Colon, rectum, and anus 444 2.9 252 2.6 192 3.2 Liver and intrahepatic bile ducts 296 1.9 232 2.4 64 1.1 Pancreas 254 1.6 154 1.6 100 1.7
2 Diseases of Heart 3,006 19.4 2,082 21.8 924 15.53 Human Immunodeficiency Virus (HIV) Disease 756 4.9 523 5.5 233 3.94 Use of or Poisoning by Psychoactive Substance 633 4.1 448 4.7 185 3.15 Accidents Except Poisoning by Psychoactive Substance 542 3.5 417 4.4 125 2.16 Assault (Homicide) 536 3.5 451 4.7 85 1.47 Diabetes Mellitus 487 3.1 282 3.0 205 3.48 Intentional Self-harm (Suicide) 444 2.9 334 3.5 110 1.89 Cerebrovascular Diseases 393 2.5 221 2.3 172 2.910 Chronic Liver Disease and Cirrhosis 349 2.2 252 2.6 97 1.6
All Other Causes 3,909 25.2 2,288 24.0 1,621 27.1Total 15,518 100.0 9,544 100.0 5,974 100.0
Note: Ten leading causes of death are listed in descending order of frequency for all premature deaths.
• Several categories of potentially pre-ventable deaths among persons younger than 65 years of age declined in the last decade.
º Deaths due to accidents decreased 38.3%, from 878 in 2001 to 542 in 2010.
º Drug-related deaths declined 29.5%, from 898 deaths in 2001 to 633 in 2010.
º Homicides decreased 16.9% from 2001 to 2010.
• Select cancer deaths may be prevent-ed or postponed by using early detection methods. Trends in death rates for two types of cancer are shown here.
º Breast cancer deaths decreased 24.4% within the last decade.
º There was no noticeable trend in colorectal cancer deaths from 2001 to 2010. The number of deaths ranged from a low of 353 in 2005 to a high of 466 in 2002.
33
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
200
400
600
800
1,000
Num
ber
of D
eath
s
Colorectal Cancer Homicide Accidents
Breast Cancer, Female Drug Related*
Figure 2.6 Number of Premature Deaths (Age<65) from Selected CausesNew York City, 2001-2010
Table M9. Leading Causes of Premature Death (Age <65), Overall and by Sex, New York City, 2010
Figure M6. Selected Causes of Preventable Premature Death (Age <65), New York City, 2001-2010
*See the Technical Notes, Drug Related Deaths.
21
Table M10. Leading Causes of Premature Death (Age <65) in Specified Racial/Ethnic Groups* by Sex, New York City, 2010
All Other Causes 1,306 24.2 725 23.2 581 25.6Total 5,398 100.0 3,126 100.0 2,272 100.0
Note: For each racial/ethnic group, the 10 leading causes of death are listed in decreasing order of frequency for that racial/ethnic group overall. * Decedents of other or multiple races or with unknown ethnicities are not shown.
22
Tabl
e M
11.
Dea
ths
and
Dea
th R
ates
per
100
,000
Pop
ulat
ion
From
Sel
ecte
d U
nder
lyin
g C
ause
s,
Ove
rall
and
by R
acia
l/Eth
nic
Gro
up*
and
Sex,
New
Yor
k C
ity, 2
010
35
Ethn
ic G
roup
*Se
xN
on-H
ispa
nic
Non
-His
pani
cA
sian
and
O
ther
or
Tota
lH
ispa
nic
Whi
teBl
ack
Paci
fic Is
land
erU
nkno
wn
Mal
eFe
mal
e
Cau
se o
f Dea
thN
o.C
rude
Rate
Age
-Adj
.R
ate
No.
Cru
deRa
teA
ge-A
dj.
Rat
eN
o.C
rude
Rate
Age
-Adj
.R
ate
No.
Cru
deRa
teA
ge-A
dj.
Rat
eN
o.C
rude
Rate
Age
-Adj
.R
ate
No.
No.
Cru
deRa
teA
ge-A
dj.
Rat
eN
o.C
rude
Rate
Age
-Adj
.Ra
teA
ll C
ause
s†52
,575
6.4
6.3
9,34
04.
05.
525
,790
9.5
6.6
13,6
377.
37.
53,
157
3.1
3
.9
651
25,8
636.
77.
726
,712
6.2
5.2
Nat
ural
Cau
ses
49,8
1160
9.3
593.
98,
727
373.
651
9.2
24,7
0690
7.3
623.
212
,799
687.
670
7.3
2,98
0 2
89.8
3
68.1
59
923
,878
615.
071
8.0
25,9
3360
4.1
504.
7H
uman
Imm
unod
efic
ienc
y V
irus
(HIV
) Dis
ease
832
10.2
9.5
268
11.5
12.1
100
3.7
3.2
449
24.1
22.3
6 0
.6
0.5
9
574
14.8
14.2
258
6.0
5.5
Mal
igna
nt N
eopl
asm
s13
,333
163.
116
1.0
2,10
290
.012
0.0
6,84
625
1.4
188.
63,
308
177.
717
9.6
943
91.
7 1
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603
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119
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6
Mal
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nt n
eopl
asm
of s
tom
ach
439
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5.3
103
4.4
5.8
166
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4.5
111
6.0
6.2
51 5
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5.6
8
226
5.8
6.7
213
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M
alig
nant
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ms
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tum
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anu
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226
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12.9
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11.
1 16
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Mal
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hea,
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1,55
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Mal
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ng (f
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393
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344
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6.5
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5 14
–
–
–
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Mal
igna
nt n
eopl
asm
of b
reas
t (fe
mal
e)1,
068
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22.0
162
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37.8
26.2
324
31.5
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47 8
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4
–
–
–
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824
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Mal
igna
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129
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52.
941
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74.
210
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–
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–
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M
alig
nant
neo
plas
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f ova
ry36
88.
67.
751
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202
14.4
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27.
326
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5
–
–
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88.
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7
Mal
igna
nt n
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asm
of p
rost
ate
777
20.0
24.9
127
11.2
22.7
351
26.6
22.2
257
30.8
44.2
30 6
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mia
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596
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Alz
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ease
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t dis
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enza
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Chr
onic
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1.2
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hron
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iver
Dis
ease
and
Cir
rhos
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119
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55.
411
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528
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tern
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ause
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7.2
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otor
Veh
icle
Acc
iden
ts27
93.
43.
470
3.0
3.2
114
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4.0
583.
13.
132
3.1
3
.2
519
85.
15.
281
1.9
1.8
Falls
367
4.5
4.4
522.
22.
920
77.
65.
262
3.3
3.3
38 3
.7
5.2
8
216
5.6
6.4
151
3.5
2.9
Inte
ntio
nal S
elf-h
arm
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cide
)50
36.
25.
910
24.
44.
524
38.
98.
183
4.5
4.5
63 6
.1
6.0
12
374
9.6
9.5
129
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Ass
ault
(Hom
icid
e)55
16.
76.
814
26.
15.
838
1.4
1.3
348
18.7
19.2
16 1
.6
1.5
7
462
11.9
11.7
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12.
1Ev
ents
of U
ndet
erm
ined
Inte
nt21
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72.
638
1.6
1.6
102
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623.
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310
1.0‡
0.9‡
514
53.
73.
772
1.7
1.6
Men
tal a
nd B
ehav
iora
l Dis
orde
rs D
ue to
Use
of o
r Acc
iden
tal
P
oiso
ning
by
Psyc
hoac
tive
Subs
tanc
es, E
xclu
ding
Alc
ohol
665
8.1
7.7
188
8.0
8.2
286
10.5
9.9
174
9.3
8.6
50.
5‡0.
5‡12
471
12.1
11.6
194
4.5
4.2
Acc
iden
ts E
xcep
t Dru
g Po
ison
ing
933
11.4
11.2
191
8.2
9.2
436
16.0
13.1
205
11.0
11.0
81 7
.9
9.5
20
621
16.0
17.0
312
7.3
6.5
* Se
e Te
chni
cal N
otes
: Dem
ogra
phic
Cha
ract
eris
tics
of V
ital E
vent
s: R
ace,
Anc
estr
y, a
nd E
thni
c G
roup
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For
All
Cau
ses,
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es a
re p
er 1
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and
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00 p
opul
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n. P
opul
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ta a
re fr
om 2
010
US
Cen
sus.
‡ Ra
te a
re n
ot s
tatis
tical
ly re
liabl
e.
23
Tabl
e M
12.
Dea
ths
and
Dea
th R
ates
* pe
r 10
0,00
0 Po
pula
tion
From
Sel
ecte
d U
nder
lyin
g C
ause
s by
Com
mun
ity D
istr
ict o
f Res
iden
ce, N
ew Y
ork
City
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0
36
Chr
onic
Chr
onic
M
enta
l Dis
orde
rsIn
fluen
zaC
ereb
ro-
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erLi
ver
due
to S
ubst
ance
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ccid
ents
Inte
ntio
nal
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ts o
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ll C
ause
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eart
Mal
igna
nt
HIV
and
vasc
ular
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pira
tory
Dis
ease
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iabe
tes
Use
& A
ccid
enta
lEx
cept
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harm
Ass
ault
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ndet
erm
ined
(Rat
e pe
r 1,
000)
Dis
ease
sN
eopl
asm
sD
isea
sePn
eum
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Dis
ease
sD
isea
ses
Cirr
hosi
sM
ellit
usPo
ison
ing
Dru
g Po
ison
ing
(Sui
cide
)(H
omic
ide)
Inte
nt
Com
mun
ity D
istri
ct o
f Res
iden
cePo
pula
tion
2010
Cen
sus
No.
Cru
deRa
te
Age
-A
djus
ted
Rate
#N
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
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rude
Rate
No.
Cru
deRa
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rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
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o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
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ALL
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TH E
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175,
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313
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7
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2817
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4426
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190,
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enpo
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rt G
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e, B
rook
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ghts
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68
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1717
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2222
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2525
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Bedf
ord
Stuy
vesa
nt (0
3)15
2,98
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48.
030
519
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207
135.
337
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20.3
3120
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4831
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1610
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k (0
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94.
36.
313
011
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2724
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2522
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17
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119.
84
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East
New
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k (0
5)18
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6.8
338
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823
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8.5
3820
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4323
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113
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rk S
lope
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nset
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k (0
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918
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140
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92
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14.3
1713
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10.3
107.
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4.8
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82
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wn
Hei
ghts
Nor
th (0
8)96
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577
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6.9
180
186.
913
514
0.2
2424
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21.8
1818
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18.7
44.
231
32.2
77.
36
6.2
1010
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11.
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row
n H
eigh
ts S
outh
(09)
98,4
2958
25.
96.
115
315
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163.
614
14.2
2121
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1313
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e (1
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175.
97
5.6
8467
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16.1
2620
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8.8
1310
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5.6
2217
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5.6
10.
83
2.4
Bens
onhu
rst (
11)
181,
981
1,24
66.
85.
549
126
9.8
315
173.
14
2.2
6535
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17.6
4524
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5.5
3217
.68
4.4
179.
37
3.8
73.
82
1.1
Boro
ugh
Park
(12)
191,
382
919
4.8
5.0
307
160.
423
612
3.3
21.
062
32.4
2412
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12.0
52.
626
13.6
52.
620
10.5
42.
12
1.0
42.
1C
oney
Isla
nd (1
3)10
4,27
81,
264
12.1
7.2
492
471.
829
728
4.8
1413
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76.7
3937
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30.7
54.
830
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1110
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14.4
54.
810
9.6
76.
7Fl
atbu
sh, M
idw
ood
(14)
160,
664
935
5.8
5.9
346
215.
423
214
4.4
1610
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23.0
2616
.224
14.9
53.
142
26.1
42.
513
8.1
53.
19
5.6
42.
5Sh
eeps
head
Bay
(15)
159,
650
1,24
47.
85.
449
531
0.1
291
182.
33
1.9
7949
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25.7
4125
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6.9
2716
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3.8
2616
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5.0
42.
54
2.5
Brow
nsvi
lle (1
6)86
,468
637
7.4
9.2
179
207.
014
216
4.2
3135
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19.7
2427
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30.1
78.
129
33.5
1315
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10.4
44.
625
28.9
33.
5Ea
st F
latb
ush
(17)
155,
252
826
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5.4
255
164.
221
413
7.8
2012
.927
17.4
2818
.015
9.7
106.
450
32.2
53.
212
7.7
31.
919
12.2
31.
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anar
sie
(18)
193,
543
1,14
55.
95.
940
120
7.2
302
156.
012
6.2
3819
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18.6
3618
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3.6
3719
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199.
89
4.7
115.
74
2.1
Con
tinue
d on
nex
t pag
e.
24
Tabl
e M
12.
Dea
ths
and
Dea
th R
ates
* pe
r 10
0,00
0 Po
pula
tion
From
Sel
ecte
d U
nder
lyin
g C
ause
s by
Com
mun
ity D
istr
ict o
f Res
iden
ce, N
ew Y
ork
City
, 201
0 (C
ontin
ued)
36
Chr
onic
Chr
onic
M
enta
l Dis
orde
rsIn
fluen
zaC
ereb
ro-
Low
erLi
ver
due
to S
ubst
ance
A
ccid
ents
Inte
ntio
nal
Even
ts o
fA
ll C
ause
sH
eart
Mal
igna
nt
HIV
and
vasc
ular
Res
pira
tory
Dis
ease
&D
iabe
tes
Use
& A
ccid
enta
lEx
cept
Self-
harm
Ass
ault
†U
ndet
erm
ined
(Rat
e pe
r 1,
000)
Dis
ease
sN
eopl
asm
sD
isea
sePn
eum
onia
Dis
ease
sD
isea
ses
Cirr
hosi
sM
ellit
usPo
ison
ing
Dru
g Po
ison
ing
(Sui
cide
)(H
omic
ide)
Inte
nt
Com
mun
ity D
istri
ct o
f Res
iden
cePo
pula
tion
2010
Cen
sus
No.
Cru
deRa
te
Age
-A
djus
ted
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
teN
o.C
rude
Rate
No.
Cru
deRa
te
QU
EEN
S2,
230,
722
12,1
555.
45.
04,
759
213.
32,
884
129.
379
3.5
618
27.7
379
17.0
359
16.1
119
5.3
360
16.1
108
4.8
207
9.3
148
6.6
994.
437
1.7
Ast
oria
, Lon
g Is
land
City
(01)
191,
105
996
5.2
5.6
383
200.
425
813
5.0
42.
145
23.5
3216
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14.7
84.
233
17.3
199.
916
8.4
84.
25
2.6
84.
2Su
nnys
ide,
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dsid
e (0
2)11
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047
04.
24.
618
516
3.4
122
107.
82
1.8
2522
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87.
110
8.8
119.
74
3.5
76.
29
8.0
–
–
–
–
Jack
son
Hei
ghts
(03)
171,
576
720
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4.8
250
145.
715
188
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4.7
5632
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2816
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2414
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2.9
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213
7.6
42.
33
1.7
Elm
hurs
t, C
oron
a (0
4)17
2,59
861
43.
64.
519
011
0.1
163
94.4
–
–
3620
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137.
57
4.1
137.
56
3.5
148.
112
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74.
13
1.7
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ewoo
d, G
lend
ale
(05)
169,
190
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738
122
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255
150.
74
2.4
4828
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3822
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3218
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2011
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63.
54
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Par
k, F
ores
t Hill
s (0
6)11
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783
67.
44.
833
929
9.3
202
178.
43
2.6
8877
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1513
.22
1.8
1311
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1513
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10.6
–
–
32.
6Fl
ushi
ng (0
7)24
7,35
41,
526
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4.4
619
250.
236
514
7.6
20.
888
35.6
5923
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93.
623
9.3
135.
330
12.1
208.
18
3.2
20.
8Fr
esh
Mea
dow
s, B
riarw
ood
(08)
151,
107
893
5.9
4.9
379
250.
819
212
7.1
53.
353
35.1
3221
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18.5
53.
320
13.2
53.
310
6.6
117.
34
2.6
21.
3W
oodh
aven
(09)
143,
317
620
4.3
5.0
235
164.
014
510
1.2
53.
527
18.8
2416
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11.2
96.
330
20.9
64.
29
6.3
53.
55
3.5
32.
1H
owar
d Be
ach
(10)
122,
396
639
5.2
5.1
252
205.
915
212
4.2
54.
123
18.8
1613
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12.3
119.
024
19.6
108.
220
16.3
97.
43
2.5
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6Ba
ysid
e (1
1)11
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161
45.
33.
625
722
0.7
166
142.
61
0.9
3126
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21.5
1714
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2.6
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96
5.2
54.
38
6.9
–
–
10.
9Ja
mai
ca, S
t. A
lban
s (1
2)22
5,91
91,
317
5.8
5.9
510
225.
728
312
5.3
229.
743
19.0
4319
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13.7
135.
869
30.5
62.
719
8.4
73.
135
15.5
–
–
Que
ens
Vill
age
(13)
188,
593
894
4.7
4.0
318
168.
622
211
7.7
73.
729
15.4
2915
.423
12.2
63.
234
18.0
52.
714
7.4
136.
914
7.4
10.
5Th
e Ro
ckaw
ays
(14)
114,
978
997
8.7
8.1
458
398.
320
818
0.9
108.
726
22.6
1613
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42.6
119.
625
21.7
87.
014
12.2
87.
08
7.0
54.
3
STA
TEN
ISLA
ND
468,
730
3,27
37.
06.
61,
335
284.
883
617
8.4
275.
814
430
.761
13.0
136
29.0
234.
910
422
.253
11.3
6614
.127
5.8
224.
716
3.4
Port
Ric
hmon
d (0
1)17
5,75
61,
188
6.8
7.3
464
264.
029
716
9.0
1910
.840
22.8
179.
737
21.1
74.
050
28.4
2514
.232
18.2
126.
815
8.5
42.
3W
illow
broo
k, S
outh
Bea
ch (0
2)13
2,00
31,
066
8.1
6.3
483
365.
925
119
0.1
32.
347
35.6
1914
.455
41.7
107.
627
20.5
1511
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10.6
96.
82
1.5
86.
1To
ttenv
ille
(03)
160,
209
1,01
86.
46.
238
824
2.2
287
179.
15
3.1
5735
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15.6
4427
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3.7
2716
.913
8.1
2012
.56
3.7
53.
14
2.5
NO
NR
ESID
ENTS
–
3,85
4
–
–90
9
–1,
507
–
39
–10
3
–11
1
–82
–
45
–73
–
65
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–
50
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–
17
–R
ESID
ENC
E U
NK
NO
WN
–
95
–
–25
–
2
–1
–
1
–1
–
3
–3
–
1
–3
–
17
–7
–
2
–14
–
Not
e: B
orou
gh to
tals
may
be
high
er th
an th
e su
m o
f the
com
mun
ity d
istri
cts,
as
they
may
incl
ude
som
e de
aths
who
se c
omm
unity
dis
trict
cou
ld n
ot b
e de
term
ined
. *
Rate
s ar
e ca
lcul
ated
bas
ed o
n 20
10 C
ensu
s po
pula
tion
coun
ts d
eriv
ed b
y th
e D
epar
tmen
t of C
ity P
lann
ing.
See
Tec
hnic
al N
otes
: Pop
ulat
ion,
Com
mun
ity D
istr
ict.
† Se
e Te
chni
cal N
otes
: Dea
ths,
Hom
icid
e.
‡ Th
e no
rther
nmos
t Man
hatta
n ne
ighb
orho
od o
f Mar
ble
Hill
is in
the
Bron
x un
der
the
com
mun
ity d
istr
ict s
yste
m.
As
a re
sult,
the
num
bers
of d
eath
s in
Man
hatta
n an
d B
ronx
are
slig
htly
diff
eren
t fro
m T
able
M1.
25
38
Table M13. Deaths and Crude Death Rates* per 100,000 Population
*Populations for calculating rates vary by year. See Technical Notes: Population, Citywide.†Perinatal mortality ratio: see section titled "Rates and Ratios Defined" for definition. ‡AIDS was first reported as a cause of death in 1982. See the Technical Notes and Historical Technical Notes: Deaths, HIV and AIDS Mortality. §Data for 1982-1985.||Rate less than 0.05.¶Motor vehicle accident codes are listed in Table M1.**World Trade Center (WTC) disaster deaths are not included in 2001. See Special Section on WTC deaths in the 2002 Summary of Vital Statistics for detailed statistics.††Beginning January 2007, causes of death coding was changed. See Technical Notes: Deaths, Cause of Death Coding.‡‡ Codes following causes in parenthesis are the International Classification of Diseases, Tenth Revision.§§Data are not available or not applicable.||||See Technical Notes: Maternal Death and Maternal Mortality.
† 2006 alcohol consumption data were not collected in New York City Community Health Survey and therefore 2006 alcohol-attributable deaths were calculated based on 2005 alcohol prevalence data. ‡ IUGR=Intrauterine growth restriction.
28
Figure 2.8 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Sex,
Age 20 and Over, New York City, 2001-2010
41
Figure 2.7 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Ethnic GroupAge 20 and Over, New York City, 2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
Female Male
28.737.8
60.453.7
HispanicAsian and Pacific Islander
Non-Hispanic WhiteNon-Hispanic Black
Ethnic Group
0.0
20.0
40.0
60.0
80.0
100.0
120.0
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Cru
d e R
ate
per
100,
000
Popu
latio
n
Age 35-44 Age 45-54 Age 55-64
Figure 2.9 Age-Specific Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms by Selected Age Group
New York City, 2001-2010Figure M9. Age-specific Death Rates for Trachea, Bronchus, and Lung Malignant
Neoplasms by Selected Age Group, New York City, 2001-2010
Figure 2.8 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Sex,
Age 20 and Over, New York City, 2001-2010
41
Figure 2.7 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Ethnic GroupAge 20 and Over, New York City, 2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
Female Male
28.737.8
60.453.7
HispanicAsian and Pacific Islander
Non-Hispanic WhiteNon-Hispanic Black
Ethnic Group
0.0
20.0
40.0
60.0
80.0
100.0
120.0
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Cru
d e R
ate
per
100,
000
Popu
latio
n
Age 35-44 Age 45-54 Age 55-64
Figure 2.9 Age-Specific Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms by Selected Age Group
New York City, 2001-2010Figure 2.8 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Sex,
Age 20 and Over, New York City, 2001-2010
41
Figure 2.7 Age-Adjusted Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms, by Ethnic GroupAge 20 and Over, New York City, 2010
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
Female Male
28.737.8
60.453.7
HispanicAsian and Pacific Islander
Non-Hispanic WhiteNon-Hispanic Black
Ethnic Group
0.0
20.0
40.0
60.0
80.0
100.0
120.0
Age
-adj
uste
d R a
te p
er 1
0 0,0
00 P
opul
atio
n
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Cru
d e R
ate
per
100,
000
Popu
latio
n
Age 35-44 Age 45-54 Age 55-64
Figure 2.9 Age-Specific Death Rates for Trachea, Bronchus, and Lung Malignant Neoplasms by Selected Age Group
New York City, 2001-2010
Figure M7. Age-adjusted Death Rates for Trachea, Bronchus, and Lung Malignant
Neoplasms, by Racial/Ethnic Group, Age ≥20 Years, New York City, 2010
Figure M8. Age-adjusted Death Rates for Trachea, Bronchus, and Lung Malignant
Neoplasms, by Sex, Age ≥20 Years, New York City, 2001-2010
• The age-adjusted death rate for trachea, bronchus, and lung cancer varies by racial/ethnic group.
• Age-adjusted trachea, bronchus, and lung cancer death rates are highest among non-Hispanic whites, at 60.4 per 100,000, followed by non-Hispanic blacks at 53.7, Asian and Pacific Islanders at 37.8, and Hispanics at 28.7 per 100,000 population.
• From 2001 to 2010, males had a substantially higher trachea, bronchus, and lung cancer age-adjusted death rate at 64.5 deaths per 100,000, compared to females at 40.1 deaths per 100,000.
• The age-adjusted rate for males decreased 19.6% from 80.2 in 2001 to 64.5 in 2010.
• The age-adjusted death rates for females declined to a lesser extent than males, from 44.1 in 2001 to 40.1 in 2010, a 9.1% decline.
• For cancer of the trachea, bronchus, and lung, a decrease in age-adjusted death rates occurred in all presented age groups from 2001 to 2010.
• Among the three age groups presented, the greatest decrease (37.3%) was seen in the 35-44 age group, while smaller decreases occurred among those 45-54 years (32.5%) followed by those 55-64 years (26.6%).
29 43
2006
2007
2008
2009
2010
Cha
nge
from
200
6 to
201
0A
ge-a
djus
ted
Rate
sA
ge-a
djus
ted
Rate
sA
ge-a
djus
ted
Rate
sA
ge-a
djus
ted
Rate
sA
ge-a
djus
ted
Rate
sA
ge-a
djus
ted
Rate
s
Dea
ths
(Per
100
,000
)D
eath
s(P
er 1
00,0
00)
Dea
ths
(Per
100
,000
)D
eath
s(P
er 1
00,0
00)
Dea
ths
(Per
100
,000
)D
eath
s(P
er 1
00,0
00)
Dis
ease
Cat
egor
y M
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lM
ale
Fem
ale
Tota
lD
eath
Cha
nge
%C
hang
eRa
teC
hang
e
%C
hang
eof
Rat
e
Tota
l4,
433
3,31
17,
744
262.
412
4.9
180.
64,
418
3,02
07,
438
254.
711
2.4
169.
84,
251
3,31
87,
569
239.
011
9.6
168.
64,
239
2,96
27,
201
245.
310
9.8
163.
64,
061
2,92
86,
989
240.
311
1.9
163.
4-7
55-9
.7%
-17.
2-9
.5%
Mal
igna
nt N
eopl
asm
sLi
p, O
ral C
avity
, Pha
rynx
9120
111
5.0
0.8
2.6
9723
120
5.2
0.9
2.7
9024
114
4.8
0.9
2.6
108
2613
45.
71.
03.
093
3112
45.
21.
32.
913
11.7
%0.
311
.5%
Esop
hagu
s12
663
189
7.2
2.5
4.5
153
4019
38.
71.
64.
513
750
187
7.5
2.0
4.2
156
4520
18.
71.
74.
612
942
171
7.2
1.7
4.0
-18
-9.5
%-0
.5-1
1.1%
Stom
ach
6724
914.
01.
02.
258
2381
3.3
0.9
1.9
6622
883.
70.
82.
066
2187
3.8
0.8
2.0
5124
753.
00.
91.
8-1
6-1
7.6%
-0.4
-18.
2%
Panc
reas
7810
518
34.
44.
14.
378
9417
24.
33.
63.
977
117
194
4.2
4.4
4.4
8710
218
94.
83.
94.
375
104
179
4.2
4.1
4.2
-4-2
.2%
-0.1
-2.3
%
Lary
nx78
1290
4.6
0.5
2.1
7514
894.
10.
52.
172
1688
4.0
0.6
2.0
7120
913.
90.
82.
163
1578
3.6
0.6
1.8
-12
-13.
3%-0
.3-1
4.3%
Trac
hea,
Lun
g, B
ronc
hus
1,35
991
22,
271
80.0
36.8
54.3
1,37
191
22,
283
79.5
36.2
53.6
1,35
390
62,
259
76.1
35.1
51.8
1,28
487
52,
159
73.5
34.2
49.9
1,31
093
12,
241
76.5
37.4
53.1
-30
-1.3
%-1
.2-2
.2%
Cer
vix
Ute
ri0
1313
0.0
0.5
0.3
014
140.
00.
60.
30
1313
0.0
0.5
0.3
015
150.
00.
60.
30
1111
0.0
0.5
0.3
-2-1
5.4%
0.0
0.0%
Kidn
ey a
nd R
enal
Pel
vis
484
522.
80.
21.
252
153
2.9
0.0
1.2
432
452.
40.
11.
063
164
3.6
0.0
1.5
523
553.
00.
11.
33
5.8%
0.1
8.3%
Urin
ary
Blad
der
9329
122
5.8
1.1
2.9
9327
120
5.6
1.0
2.8
8529
114
5.1
1.1
2.6
8527
112
5.3
1.0
2.6
9731
128
6.0
1.2
3.0
64.
9%0.
13.
4%
Acu
te M
yelo
id L
euke
mia
1712
291.
00.
50.
725
833
1.4
0.3
0.8
2310
331.
30.
40.
824
1236
1.4
0.5
0.8
2511
361.
40.
40.
97
24.1
%0.
228
.6%
Subt
otal
1,95
71,
194
3,15
111
4.8
48.0
75.1
2,00
21,
156
3,15
811
5.0
45.6
73.8
1,94
61,
189
3,13
510
9.1
45.9
71.7
1,94
41,
144
3,08
811
0.7
44.5
71.1
1,89
51,
203
3,09
811
0.1
48.2
73.3
-53
-1.7
%-1
.8-2
.4%
Car
diov
ascu
lar
Dis
ease
sIs
chem
ic H
eart
Dis
ease
1,48
31,
228
2,71
186
.744
.061
.71,
444
1,03
12,
475
82.2
36.1
54.9
1,36
61,
177
2,54
375
.339
.954
.81,
348
961
2,30
977
.133
.951
.31,
133
825
1,95
865
.929
.844
.6-7
53-2
7.8%
-17.
1-2
7.7%
Oth
er H
eart
Dis
ease
9764
161
5.9
2.3
3.7
9558
153
5.5
2.1
3.4
8058
138
4.5
2.0
3.0
9053
143
5.3
1.9
3.2
8557
142
5.2
2.1
3.3
-19
-11.
8%-0
.4-1
0.8%
Cer
ebro
vasc
ular
Dis
ease
114
9921
36.
13.
94.
810
485
189
5.4
3.3
4.2
9088
178
4.6
3.3
3.9
8288
170
4.3
3.4
3.7
9183
174
4.9
3.3
3.9
-39
-18.
3%-0
.9-1
8.8%
Ath
eros
cler
osis
137
200.
80.
20.
521
425
1.2
0.1
0.6
187
251.
00.
20.
525
631
1.6
0.2
0.7
196
251.
20.
20.
65
25.0
%0.
120
.0%
Aor
tic A
neur
ysm
7842
120
4.5
1.6
2.8
8341
124
4.7
1.6
2.9
5127
782.
91.
01.
851
2980
3.0
1.1
1.9
6022
823.
60.
82.
0-3
8-3
1.7%
-0.8
-28.
6%
Oth
er A
rteria
l Dis
ease
97
160.
50.
30.
47
714
0.4
0.3
0.3
66
120.
30.
20.
34
610
0.2
0.2
0.2
47
110.
30.
30.
3-5
-31.
3%-0
.1-2
5.0%
Subt
otal
1,79
41,
447
3,24
110
4.5
52.3
73.9
1,75
41,
226
2,98
099
.443
.566
.31,
611
1,36
32,
974
88.6
46.6
64.3
1,60
01,
143
2,74
391
.540
.761
.01,
392
1,00
02,
392
81.1
36.5
54.7
-849
-26.
2%-1
9.2
-26.
0%
Resp
irat
ory
Dis
ease
sPn
eum
onia
, Inf
luen
za22
518
440
914
.36.
59.
420
412
633
012
.54.
47.
419
415
534
911
.55.
27.
620
212
833
012
.74.
57.
521
513
134
613
.74.
78.
0-6
3-1
5.4%
-1.4
-14.
9%
Bron
chiti
s, E
mph
ysem
a55
5010
53.
31.
92.
549
6811
72.
82.
62.
767
6813
53.
92.
63.
171
5913
04.
02.
23.
064
5612
03.
92.
22.
815
14.3
%0.
312
.0%
Chr
onic
Air
way
Obs
truct
ion
402
436
838
25.5
16.2
19.7
409
444
853
25.0
16.3
19.6
433
543
976
25.9
19.3
21.9
422
488
910
26.4
17.9
21.0
495
538
1,03
331
.520
.324
.619
523
.3%
4.9
24.9
%
Subt
otal
682
670
1,35
243
.124
.631
.666
263
81,
300
40.3
23.3
29.7
694
766
1,46
041
.327
.132
.669
567
51,
370
43.1
24.6
31.5
774
725
1,49
949
.127
.235
.414
710
.9%
3.8
12.0
%
Not
es:
Smok
ing
prev
alen
ce ra
tes
are
from
the
New
Yor
k C
ity C
omm
unity
Hea
lth S
urve
y an
d ca
lcul
ated
by
the
Bure
au o
f Epi
dem
iolo
gy S
ervi
ces,
New
Yor
k C
ity D
epar
tmen
t of H
ealth
an
d M
enta
l Hyg
iene
. Num
ber d
oes
not i
nclu
de d
eath
s du
e to
bur
ns o
r sec
ondh
and
smok
e ex
posu
re.
See
Tech
nica
l Not
es: D
eath
s, S
mok
ing-
and
Alc
ohol
-attr
ibut
able
Mor
talit
y fo
r met
hodo
logy
.*
See
Tech
nica
l Not
es: P
opul
atio
n, C
ityw
ide.
Tabl
e M
15.
Smok
ing-
attr
ibut
able
Dea
ths,
Age
-adj
uste
d D
eath
Rat
es*
and
Thei
r C
hang
es, A
ge ≥
35
Year
s, N
ew Y
ork
City
, 200
6-20
10
30
• Although non-Hispanic black males account for more than half of all male HIV disease deaths in 2010, HIV disease deaths among this group decreased 46.2% in the last decade.
• The greatest decrease in the number of HIV disease deaths among males oc-curred in non-Hispanic whites (65.3%); the smallest decrease occurred in Hispan-ics (43.6%).
• Among females of all ethnic groups, the number of HIV disease deaths also steadily declined. The greatest decrease occurred among non-Hispanic whites (69.6%), followed by non-Hispanic blacks (57.7%), and Hispanics (49.0%).
• The mean age at death for males with HIV disease in 2010 was 52 years, 16.4 years less than the mean age at death for all males.
• The mean age at death for females with HIV disease in 2010 was 51.2 years, 24.8 years less than the mean age at death for all females.
• The mean age at death for females with HIV disease increased 8.7 years from 2001 (42.5 years) to 2010 (51.2 years).
• The mean age at death for males with HIV disease increased 5.4 years from 2001 to 2010.
46
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
10
20
30
40
50
60
70
80
Mea
n A
ge a
t Dea
th
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
100
200
300
400
500
600
Num
b er
of D
eath
s
Hispanic Males Non-Hispanic White Males
Non-Hispanic Black Males Hispanic FemalesNon-Hispanic White Females Non-Hispanic Black Females
Figure 2.11 Mean Age at Death, All Deaths and HIV Disease Deaths by Sex New York City, 2001-2010
All Deaths, Male
All Deaths, Female
HIV Deaths, Female
HIV Deaths, Male
Figure 2.10 Deaths Due to HIV Disease by Sex and Selected Ethnic Group New York City, 2001-2010
46
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
10
20
30
40
50
60
70
80
Mea
n A
ge a
t Dea
th
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
100
200
300
400
500
600
Num
b er
of D
eath
s
Hispanic Males Non-Hispanic White Males
Non-Hispanic Black Males Hispanic FemalesNon-Hispanic White Females Non-Hispanic Black Females
Figure 2.11 Mean Age at Death, All Deaths and HIV Disease Deaths by Sex New York City, 2001-2010
All Deaths, Male
All Deaths, Female
HIV Deaths, Female
HIV Deaths, Male
Figure 2.10 Deaths Due to HIV Disease by Sex and Selected Ethnic Group New York City, 2001-2010
Figure M10. Deaths Due to HIV Disease by Sex and Selected Racial/Ethnic Group,
New York City, 2001-2010
Figure M11. Mean Age at Death, All Deaths, and HIV Disease Deaths by Sex,
New York City, 2001-2010
31
44
Table M16. Deaths from HIV Disease, Overall and by Sex, Age, and Ethnic Group*,
Note: See Technical Notes: Deaths, HIV and AIDS Mortality.* Beginning in 2003, multiple races are included in "Other or Unknown" category in this table. See Technical Notes: Demographic Characteristics of Vital Events: Race, Ancestry, and Ethnic Group.
• From 2001 to 2010, fatal occupational injuries continued a general downward trend with some fluc-tuation. There were 68 fatal occupational injuries in 2010, a 32.0% decrease from 100 deaths in 2001.
• Males account for the vast majority of fatal occu-pational injuries. In 2010, 98.5% of all fatal occupa-tional injuries occurred among males; there was one female death.
47
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
20
40
60
80
100
120
Num
ber
of D
e ath
s
Male Female
Figure 2.12 Fatal Occupational Injuries by Sex, New York City, 2001-2010
Figure M12. Fatal Occupational Injuries by Sex, New York City, 2001-2010
Table M17. Selected Characteristics of Deaths Due to Fatal Occupational Injuries, New York City, 2010
34
27
'01 '02 '03 '04 '05 '06 '07 '08 '09 '10
Year
0
100
200
300
400
500
600
700
Num
b er
of D
eath
sHomicide Falls Suicide
Motor Vehicle Accidents
Figure 2.13. Number of Deaths from Selected External Causes, New York City, 2001-2010
Figure M13. Number of Deaths From Selected External Causes, New York City, 2001-2010
• Deaths due to motor vehicle accidents steadily declined by 32.3% from 2001 to 2010.
• During the same time period, deaths due to ho-micide decreased 18.1%, from 670 deaths in 2001 to 551 deaths in 2010.
• Deaths due to falls decreased 12.0% from 417 deaths in 2001 to 367 deaths in 2010.
• The number of suicides showed no discernible trend from 2001 to 2010, and ranged from a low of 462 in 2001 to a high of 503 in 2010.
• In 2010, the homicide death rate was 28.9 per 100,000 residents in Brownsville, the highest of any community district. Other community districts with high homicide death rates included: Bedford-Stuyvesant (22.9), Mott Haven (18.4), Morrisania (17.6), and Hunts Point (15.3).
• The lowest homicide death rate was found in Murray Hill (0.7). Four other community districts had homicide death rates below 1.2: Bay Ridge (0.8), Borough Park (1.0), Midtown Business District (1.0), and Greenwich Village/SoHo (1.1).
Homicide (Assault)Crude Death Rateper 100,000 Population
10.3 - 28.9
7.5 - 10.2
3.6 - 7.4
1.2 - 3.5
0.0 - 1.1
Citywide Rate: 6.7
Parks & Airports
Map M4. Homicide (Assault) Crude Death Rate by Community District of
Residence, New York City, 2010
Note: See Technical Notes: Deaths, Homicide.
35
Tabl
e M
18.
Dea
ths
Due
to A
ccid
ents
, Ove
rall
and
by A
ge a
nd S
ex, N
ew Y
ork
City
, 201
0
49
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Type
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Tota
l . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
.1,
454
1811
60
85
245
6216
133
3915
248
215
8214
667
6741
154
155
Mot
or V
ehic
le E
xcep
t Inj
ury
to P
edes
trian
, Ped
alC
yclis
t, an
d M
otor
cycl
ist
70-
2-
--
15
114
410
14
-5
-9
13
14
5In
jury
to P
edes
trian
s17
22
21
-4
25
-6
316
517
617
617
138
1019
13
Col
lisio
n w
ith m
otor
veh
icle
. . .
. . .
. . .
. . .
. . .
158
22
1-
42
3-
42
145
136
156
1613
810
1913
C
ollis
ion
with
railw
ay tr
ansp
orta
tion.
. . .
. . .
.. .
14-
--
--
-2
-2
12
-4
-2
-1
--
--
-
Oth
er c
ollis
ion
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .0
--
--
--
--
--
--
--
--
--
--
--
Inju
ry to
Ped
al C
yclis
t18
--
--
--
2-
21
3-
--
2-
31
2-
11
C
ollis
ion
with
mot
or v
ehic
le .
. . .
. . .
. . .
. . .
. .11
--
--
--
1-
2-
1-
--
2-
11
1-
11
O
ther
col
lisio
n .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
7-
--
--
-1
--
12
--
--
-2
-1
--
-In
jury
to M
otor
cycl
ist .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. .37
--
--
--
2-
61
15-
72
3-
1-
--
--
Wat
er T
rans
port
Acc
iden
ts .
. . .
. . .
. . .
. . .
. . .
. . .
0-
--
--
--
--
--
--
--
--
--
--
-A
ir an
d Sp
ace
Tran
spor
t Acc
iden
ts .
. . .
. . .
. . .
.. .
0-
--
--
--
--
--
--
--
--
--
--
-O
ther
Tra
nspo
rt A
ccid
ents
. . .
. . .
. . .
. . .
. . .
. . .
. .4
--
--
--
-1
1-
--
1-
1-
--
--
--
Sequ
elae
(Lat
e Ef
fect
s) o
f Tra
nspo
rt A
ccid
ents
. . .
. .19
--
--
-1
--
--
3-
42
31
1-
-2
11
Fall
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
.36
71
--
--
-2
15
18
27
125
537
1229
1510
211
4Fi
rear
m D
isch
arge
. .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .0
--
--
--
--
--
--
--
--
--
--
--
Dro
wni
ng a
nd S
ubm
ersi
on .
. . .
. . .
. . .
. . .
. . .
. . .
212
1-
-1
11
-2
14
21
11
-1
--
1-
1Sm
oke,
Fire
, and
Fla
mes
. . .
. . .
. . .
. . .
. . .
. . .
. . .
441
13
--
--
--
-1
-2
12
35
62
27
8Po
ison
ing
by N
oxio
us S
ubst
ance
s . .
. . .
. . .
. . .
.. .
580
1-
1-
3-
52
215
6727
9932
138
6456
2813
68
4
Poi
soni
ng b
y ps
ycho
activ
e su
bsta
nces
* . .
. . .
.. .
521
--
1-
2-
42
215
6026
8931
122
6048
2411
56
4
Poi
soni
ng b
y ot
her n
oxio
us s
ubst
ance
s . .
. . .
. . .
591
--
-1
-1
--
-7
110
116
48
42
12
-Ex
posu
re to
Exc
essi
ve N
atur
al H
eat
. . .
. . .
. . .
. . .
9-
--
--
--
-1
--
--
12
-3
-1
1-
-Ex
posu
re to
Exc
essi
ve N
atur
al C
old
. . .
. . .
. . .
. .. .
9-
--
--
--
--
--
-1
-2
-3
11
-1
-Su
ffoca
tion.
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
.45
114
1-
--
--
1-
3-
31
41
24
2-
53
Con
tact
with
Mac
hine
ry .
. . .
. . .
. . .
. . .
. . .
. . .
. .3
--
--
--
--
--
1-
--
--
1-
1-
--
Oth
er N
ontra
nspo
rt A
ccid
ents
. . .
. . .
. . .
. . .
. . .
. .43
-1
--
--
2-
2-
12
61
51
41
43
55
Sequ
elae
(Lat
e Ef
fect
s) o
f Non
trans
port
Acc
iden
ts .
.13
--
--
--
--
1-
1-
--
51
3-
1-
1-
*See
Tec
hnic
al N
otes
: Dea
ths,
Dru
g-Re
late
d D
eath
s.
36
Tabl
e M
19.
Dea
ths
Due
to In
tent
iona
l Sel
f-har
m (S
uici
de),
Ove
rall
and
by A
ge a
nd S
ex, N
ew Y
ork
City
, 201
0
Tabl
e M
20.
Dea
ths
Due
to A
ssau
lt (H
omic
ide)
and
Leg
al In
terv
entio
n, O
vera
ll an
d by
Age
and
Sex
, New
Yor
k C
ity, 2
010
50
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Met
hod
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Tota
l . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
503
--
--
31
115
339
5327
7521
9127
6820
2114
195
Pois
onin
g by
Dru
g an
d M
edic
inal
Sub
stan
ces
. . .
. .75
--
--
--
12
11
74
118
1 25
67
34
12
Pois
onin
g by
Oth
er S
ubst
ance
s . .
. . .
. . .
. . .
. . .
. .16
--
--
--
--
3-
21
2-
31
3-
1-
--
Han
ging
, Str
angu
latio
n, a
nd S
uffo
catio
n . .
. . .
. .
. .17
8-
--
-3
13
212
419
1129
832
923
37
66
-D
row
ning
and
Sub
mer
sion
. . .
. . .
. . .
. . .
. . .
. . .
.24
--
--
--
21
-1
41
41
32
22
1-
--
Fire
arm
Dis
char
ge .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
61-
--
--
-2
-4
-5
17
116
-13
-6
-6
-Sh
arp
Obj
ect .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
. .18
--
--
--
--
--
2-
2-
41
5-
1-
3-
Jum
ping
Fro
m H
igh
Plac
e .
. . .
. . .
. . .
. . .
. . .
. . .
89-
--
--
-1
-10
39
717
311
67
42
42
3Ju
mpi
ng o
r Ly
ing
Bef
ore
Mov
ing
Obj
ect .
. . .
. . .
. .37
--
--
--
2-
3-
51
3-
82
84
--
1 -
Oth
er a
nd U
nspe
cifie
d M
eans
. . .
. . .
. . .
. . .
. .
. .4
--
--
--
--
--
-1
--
21
--
--
- -
Sequ
elae
(Lat
e Ef
fect
s) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
1-
--
--
--
--
--
--
--
-1
--
--
-
50
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Met
hod
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Tota
l . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .. .
557
911
23
22
7910
829
160
1968
1042
1313
810
21
2Po
ison
ing
by N
oxio
us S
ubst
ance
s . .
. . .
. . .
. . .
.. .
21
-1
--
--
--
--
--
--
--
--
--
-H
angi
ng, S
tran
gula
tion,
and
Suf
foca
tion
. . .
. . .
. .
20-
--
--
--
--
-4
62
22
-1
-1
1-
1D
row
ning
and
Sub
mer
sion
. . .
. . .
. . .
. . .
. . .
. . .
.2
--
--
--
--
--
-1
--
-1
--
--
--
Fire
arm
Dis
char
ge .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
324
--
--
1-
617
594
124
440
214
13
12
1-
-Sm
oke,
Fir
e, a
nd F
lam
es .
. . .
. . .
. . .
. . .
. . .
. . .
. .8
1-
--
--
--
1-
21
2-
1-
--
--
--
Shar
p O
bjec
t . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
109
-1
12
12
123
181
233
146
106
22
1-
1-
Blu
nt O
bjec
t . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .. .
1-
--
--
--
--
--
--
-1
--
--
--
-Pu
shin
g Fr
om H
igh
Plac
e .
. . .
. . .
. . .
. . .
. . .
. .. .
11
--
--
--
--
--
--
--
--
--
--
-B
odily
For
ce .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .0
--
--
--
--
--
--
--
--
--
--
--
Neg
lect
, Aba
ndon
men
t, an
d O
ther
Mal
trea
tmen
t . .
104
5-
--
-1
--
--
--
--
--
--
--
-O
ther
and
Uns
peci
fied
Mea
ns .
. . .
. . .
. . .
. . .
. . .
602
5-
1-
-4
-3
45
46
-10
43
53
--
1Se
quel
ae (L
ate
Effe
cts)
. .
. . .
. . .
. . .
. . .
. . .
. . .
. .14
--
--
--
1-
--
--
4-
31
2-
3-
--
Lega
l Int
erve
ntio
n, A
ll* .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
6-
--
--
--
-1
-2
--
-1
-2
--
--
-
* A
ll le
gal i
nter
vent
ion
deat
hs a
re fr
om fi
rear
m d
isch
arge
. Se
e Te
chni
cal N
otes
: Dea
ths,
Hom
icid
e.
37
Tabl
e M
21.
Dea
ths
Due
to E
vent
s of
Und
eter
min
ed In
tent
, Ove
rall
and
by A
ge a
nd S
ex, N
ew Y
ork
City
, 201
0
Tabl
e M
22.
Dea
ths
Due
to C
ompl
icat
ions
of M
edic
al a
nd S
urgi
cal C
are,
Ove
rall
and
by A
ge a
nd S
ex, N
ew Y
ork
City
, 201
0
Tabl
e M
23.
Dea
ths
Due
to F
irea
rms
(All
Cau
ses)
, Ove
rall
and
by A
ge a
nd S
ex, N
ew Y
ork
City
, 201
0
51
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Met
hod
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Tota
l . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.21
726
12-
--
-2
-11
511
417
835
1527
1 18
48
13Po
ison
ing
by N
oxio
us S
ubst
ance
s . .
. . .
. . .
. . .
. ..
.27
-1
--
--
--
--
2-
33
55
41
-1
11
Han
ging
, Str
angu
latio
n, a
nd S
uffo
catio
n .
. . .
. . .
. .0
--
--
--
--
--
--
--
--
--
--
--
Dro
wni
ng a
nd S
ubm
ersi
on .
. . .
. . .
. . .
. . .
. . .
. .. .
7-
--
--
--
--
-2
-3
-2
--
--
--
-Fi
rear
m D
isch
arge
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .
1-
--
--
--
--
--
--
-1
--
--
--
-Sm
oke,
Fir
e, a
nd F
lam
es .
. . .
. . .
. . .
. . .
. . .
. . .
.. .
1-
--
--
--
--
--
--
-1
--
--
--
-Fa
lling
Fro
m H
igh
Plac
e . .
. . .
. . .
. . .
. . .
. . .
. . .
. .4
--
--
--
--
2-
--
--
1-
1-
--
--
Oth
er a
nd U
nspe
cifie
d M
eans
. . .
. . .
. . .
. . .
. . .
. .
171
2611
--
--
2-
95
74
113
2510
2010
63
712
Sequ
elae
(Lat
e Ef
fect
s) .
. . .
. . .
. . .
. . .
. . .
. . .
. ..
.6
--
--
--
--
--
--
-2
--
2-
2-
--
51
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Met
hod
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Tota
l . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
.33
1-
--
--
--
1-
22
11
-2
11
27
57
Adv
erse
Effe
cts
From
Dru
gs, M
edic
amen
ts, a
nd
Bio
logi
cal S
ubst
ance
s fo
r Th
erap
eutic
Use
. . .
. .
. .6
--
--
--
--
1-
-1
--
-1
1-
--
11
Med
ical
Mis
adve
ntur
es to
Pat
ient
s D
urin
g S
urgi
cal a
nd M
edic
al C
are
. . .
. . .
. . .
. . .
. . .
. . .
.19
--
--
--
--
--
1-
1-
--
-1
26
35
Oth
er a
nd U
nspe
cifie
d M
eans
. . .
. . .
. . .
. . .
. . .
. .
81
--
--
--
--
-1
1-
1-
1-
--
11
1
51
0-4
5-9
10-1
415
-19
20-2
425
-34
35-4
445
-54
55-6
465
-74
≥75
Met
hod
All
Age
sM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Mal
eFe
mal
eM
ale
Fem
ale
Fire
arm
s (A
ll C
ause
s) .
. . .
. . .
. . .
. . .
. . .
. . .
. . .
. .39
1-
--
-1
-63
764
413
15
473
321
171
81
6-
38
Table M24. Life Expectancy at Specified Ages, Overall and by Sex and Racial/Ethnic Group, New York City, 1989-1991 and 1999-2001*
53
AllExact Age 1989-1991 1999-2001†in Years Total Hispanic Non-Hispanic White Non-Hispanic Black Total Hispanic Non-Hispanic White Non-Hispanic Black
Note: Three-year average death data are used to estimate above decennial life expectancy to smooth the outcome. See Technical Notes: Life Expectancy.* US Census population data for 1990 and 2000 are used to calculate 1989-1991 and 1999-2001 life expectancy, respectively. See Technical Notes: Population.† World Trade Center (WTC) disaster deaths are excluded. See Special Section in 2002 Summary of Vital Statistics, Table WTC10, for the impact of WTC deaths on life expectancy in New York City.
39
Table M25. Life Expectancy at Specified Ages, Overall and by Sex, New York City, 2000-2009*
54
Exact age Totalin years 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Note: Life expectancy for year 2010 is not presented since national data are required and are not yet available. Life expectancy for year 2009 is preliminary.* Population data are interpolated based on 2000 and 2010 Census counts, while in the previous Summary, the population was from the 2000 US Census. Life expectancy are updated for 2000-2008 and therefore different from that of previous publication. See Technical Notes: Population.
40
Table M26. Years of Potential Life Lost (YPLL) Before Age 75, Overall and by Sex and Selected Causes of Death, New York City, 2010
See Technical Notes: Deaths, Years of Potential Life Lost for detailed calculation.
Figure M14. Years of Potential Life Lost (YPLL) Before Age 75 by Sex and Selected Causes of Death,
New York City, 2010
Figure 2.15 Years of Potential Life Lost (YPLL) Before Age 75 by Sex, Selected Causes of DeathNew York City, 2010
56
Malignant Neoplasms
Diseases of Heart
Assault (Homicide)
Accidents Except Poisoning by Substance
Use of or Poisoning by Psychoactive Substance
HIV Disease
Intentional Self-harm (Suicide)
Diabetes Mellitus
Cerebrovascular Diseases
Chronic Lower Respiratory Diseases
Influenza and Pneumonia
Chronic Liver Disease and Cirrhosis
Viral Hepatitis
Mental and Behavioral Disorders Due to Alcohol
0 10 20 30 40 50 60
Years in Thousands
Male Female
The overall YPLL before age 75 increased slightly from 486,268 in 2007 to 488,239 in 2008 in New York City.
Malignant neoplasms (cancers) and diseases of the heart, the two leading causes of death, were responsible for approximately 40% of YPLL in NYC. Cancer, the second leading cause of death, was responsible for the greatest number of YPLL, 115,625 in 2008, slightly decreased from 116,880 in 2007; while diseases of the heart, the first leading cause of death, accounted for 86,585 YPLL, almost the same as 2007.
Cancer was responsible for similar numbers of YPLL in men and women. However, compared to women, men lost fewer years from reproductive cancers but more years from cancer of the trachea, bronchus, lung, colon, rectum and anus. The top five causes of cancers account for 42% of cancer YPLL.
For many of the most frequent causes of death, more than twice the number of YPLL were to men than women. Sixty-six percent of the 86,585 YPLL due to diseases of the heart were to men (57,262 YPLL) vs. 34% to women (29,323 YPLL). Sixty-three percent of YPLL to AIDS were to men vs. 37% to women; 76% of YPLL to use of or poisoning by psychoactive substance were to men vs. 24% to women; 86% of YPLL to assault (homicide) were to men vs. 14% to women; 76% of YPLL to accidents except poisoning by psychoactive substance (includes motor vehicle accidents) were to men vs. 24% to women; 73% of YPLL to intentional self-harm (suicide) were to men vs. 27% to women; 71% of YPLL to chronic liver disease and cirrhosis were to men vs. 29% to women; 74% of YPLL to viral hepatitis were to men vs. 26% to women; and 83% of YPLL to mental and behavioral disorders due to use of alcohol were to men vs. 17% to women.
• Years of Potential Life Lost (YPLL) esti-mates the numbers of years of life lost due to a person dying before their expected life ex-pectancy (age 75), i.e., a person dying at 65 years would have lost 10 years. The estimates for each premature death are added together to get the total YPLL for the population.
• This figure features YPLL by cause of death. Malignant neoplasms (cancers) and dis-eases of the heart, the two leading causes of death, were responsible for more than 40.9% of YPLL in 2010.
• Cancer, the most frequent cause of prema-ture death, results in the most years of poten-tial life lost (110,988 years) among all causes of death.
• For many of these leading causes of death, males have twice the number of YPLL than women.
41
SPECIAL SECTIONCAUSE OF DEATH
QUALITY IMPROVEMENT INTERVENTION
The purpose of this special section is to highlight the effects of a recent data quality improvement initiative on the 2010 mortality data presented in this summary. Future publications will describe the impact of this initiative in more detail.
The Data Quality Issue
• A blinded review of NYC death certificates and medical records revealed overreporting of heart disease as the cause of death (Agarwal R, Norton JM, et al. Over-reporting of deaths from coronary heart disease in New York City hospitals, 2003. Prev Chronic Dis 2010; 7(3)).
º Heart disease was overreported as a cause of death by 91% overall and increased with decedent age: 51% among those 35–74 years, 94% for 75–84 years, and 137% for ≥85 years.
• In 2008, the New York City (NYC) Bureau of Vital Statistics examined overreporting in NYC hospitals and found tremendous vari-ability in the proportions of deaths reported from coronary heart disease (Figure SS1).
• Between June 2009 and January 2010, the Bureau of Vital Statistics initiated a hospital-level intervention to improve the accuracy of cause of death reporting on the death certificate at 8 NYC hospitals with a high percentage of deaths reported as due to heart disease. These 8 hospitals reported 13% of NYC hospital deaths, but 20% of NYC hospital deaths due to heart disease. The very high proportions of heart disease deaths in the targeted hospitals served as justification for the intervention.
• The intervention had the following components:
º A conference call initiated the intervention with senior hospital staff including Medical Directors. Hospital-specific heart disease death data were presented in the context of NYC hospital heart disease deaths (e.g. Figure SS1) and the Agarwal et. al publication.
º Hospitals were required to supply a death certification/registration workflow and hospital clinical staff conducted an audit of a random sample of death certificates.
º Hospitals were asked to promote the Improving Cause of Death Reporting E-learning (http://www.nyc.gov/html/doh/media/video/icdr/index.html) to all staff participating in the certification/registration workflow.
º An on-site in-service concluded the intervention. It incorporated hospital-specific death certification/registration workflow and audit results, as well as an interactive discussion on proper cause of death reporting.
Figure SS1. Percent of Death Certificates Reporting Heart Disease as Cause of Death, New York City, 2008
Perc
ent H
eart
Dise
ase
Dea
ths
Hospitals
Intervention Hospital
Closed Hospital
0
20
40
60
80
100
The 2009 Intervention
42
Figure SS2. Proportion of Death Certificates Reporting Diseases of Heart, Malignant Neoplasms (Cancer), and
Influenza/Pneumonia as Cause of Death, New York City, 2001-2010
• The initiation of the intervention in 2009 coincides with changes in the proportions of deaths due to the top three lead-ing causes of death.
• The proportions of deaths due to heart disease decreased markedly after 2008 from 0.391 to 0.341 in 2010. Between 2001 and 2008, this proportion was consistently higher, be-tween 0.391 and 0.411.
• The proportion of deaths due to a cancer reached 0.254 in 2010, higher than any other year in the past decade. The previous high was 0.245 in 2007.
• The proportion of influenza/pneumonia deaths increased to 0.047 per 100 deaths in 2010, reaching the same propor-tion as 2006.
Table SS1. Counts and Proportions of 5 Leading Causes of Death and Changes from Prior Year,
New York City, 2006-2010
Cause of DeathDiseases of the HeartAnnual Death Count 21,844 21,442 21,192 20,086 17,929
Proportion of All Deaths 39.4 39.7 39.1 38.0 34.1% Change in Proportion
from Prior Year -0.5 0.6 -1.4 -2.9 -10.2Malignant Neoplasms
Annual Death Count 13,116 13,251 13,047 13,180 13,333Proportion of All Deaths 23.7 24.5 24.1 24.9 25.4% Change in Proportion
from Prior Year 1.1 3.5 -1.8 3.5 1.7Influenza and
PneumoniaAnnual Death Count 2,578 2,247 2,300 2,278 2,457
Proportion of All Deaths 4.7 4.2 4.2 4.3 4.7% Change in Proportion
from Prior Year -9.1 -10.7 2.1 1.5 8.5Diabetes Mellitus
Annual Death Count 1,708 1,560 1,643 1,690 1,711Proportion of All Deaths 3.1 2.9 3.0 3.2 3.3% Change in Proportion
from Prior Year -2.9 -6.4 5.1 5.4 1.8Chronic Lower
Respiratory DiseasesAnnual Death Count 1,385 1,427 1,605 1,529 1,716
Proportion of All Deaths 2.5 2.6 3.0 2.9 3.3% Change in Proportion
from Prior Year -9.7 5.5 12.2 -2.4 12.9
2006 2007 2008 2009 2010
• Citywide, the proportion of death certificates report-ing heart disease as the cause of death decreased 12.8% after the intervention began in mid-2009, from 0.391 in 2008 to 0.341 in 2010 (Table SS1).
• This decrease in heart disease death reporting be-tween 2008 and 2010 was accompanied by a 5.3% to 10.2% increase in the proportions of death certificates re-porting other leading natural causes of death (Table SS1).
Citywide Results of Intervention on Leading Causes of Death
Year
Prop
ortio
n of
All
Dea
ths
0.0
0.1
0.2
0.3
0.4
0.5
Diseases of Heart
Influenza and Pneumonia
Malignant Neoplasms
'10'09'08'07'06'05'04'03'02'01
42 43
Figure SS4. Proportion of Deaths Due to Diseases of the Heart by Age and Racial/Ethnic Group,
New York City, 2001-2010• The proportion of heart disease deaths decreased more among non-Hispanic whites than non-Hispanic blacks, which may impact trends in black/white health disparities measures.
º Older (≥ 65 years) non-Hispanic white decedents demonstrated a greater decrease in the proportion of deaths attributed to heart disease between 2008 and 2010 than older non-Hispanic blacks (16.9% versus 9.8%, respectively).
º Among younger (<65 years) decedents, the 2008–2010 decrease in the proportion of deaths was also greater among non-Hispanic whites (10.9%) than non-Hispanic blacks (5.2%).
• Demographic differences among the populations served by the intervention hospitals likely explain the variable magnitude of change by ethnicity and age. We do not report changes in other population subgroups be-cause of small counts.
Percent Change in Proportion of Heart Disease Deaths
-39.1 to -18.5
-18.4 to -10.8
-10.7 to -5.3
-5.2 to 0.6
0.7 to 12.5
• The location of intervention hospitals led to geo-graphic variation in changes in heart disease deaths over time, which may explain the differential impact by race/ethnicity and other variables that differ by neighborhood (SS4).
• Twelve Community Districts (CDs) were in the quin-tile with the greatest percent decrease in the proportion of heart disease deaths (18.5–39.1%); nearly all were lo-cated in Brooklyn or Queens.
• Brooklyn was home to 4 of the 8 intervention hospi-tals, and 8 of the 18 Brooklyn CDs were in the quintile with the greatest decrease.
• Queens was home to 2 of the 8 intervention hospi-tals, and 3 of the 14 Queens CDs were in the quintile with the greatest decrease.
Figure SS3. Percent Change in the Proportion of Death Certificates Reporting Heart Disease as the Cause of Death by Community District of Residence, New York City, 2008-2010
Year
Prop
ortio
n of
Dea
ths
With
in S
ubgr
oups
0.1
0.2
0.3
0.4
0.5
0.6
≥65 Non-Hispanic Black
≥65 Non-Hispanic White
<65 Non-Hispanic Black
<65 Non-Hispanic White
'10'09'08'07'06'05'04'03'02'01
44
Figure SS5. Proportion of Deaths Due to Malignant Neoplasms (Cancer) by Age, Sex, and Racial/Ethnic Group,
New York City, 2001-2010
Year
Prop
ortio
n of
Dea
ths
With
in S
ubgr
oups
0.20
0.25
0.30
0.35
0.40
≥65 Non-Hispanic Black
≥65 Non-Hispanic White
<65 Non-Hispanic Black
<65 Non-Hispanic White
'10'09'08'07'06'05'04'03'02'01
• Deaths incorrectly reported as heart disease prior to the intervention were distributed among other causes of death post-intervention potentially obscuring mortality trends. In the case of cancer, the magnitude of the result-ing increase varied among subgroups.
• As the proportion of heart disease deaths decreased among all age-race subgroups between 2008 and 2010, the proportion of deaths attributed to cancer increased in all subgroups.
º The greatest percent increase in cancer (2.1%) was among older (≥ 65 years) white non-Hispanics, the subgroup with the greatest decrease in heart disease deaths.
º Younger (<65 years) black non-Hispanics, who demonstrated the smallest decrease in heart disease deaths, demonstrated the second greatest percent increase in cancer (1.5%).
• As cause of death reporting improves, long-term trends in mortality data may be obscured, particularly when comparing subgroups differentially affected by the cause of death quality interventions.
• In particular, health researchers may notice an impact on race/ethnicity, hospital-level, and neighborhood mortality rate analyses.
Summary and Implications of Mortality Data Trends
Ongoing Efforts to Improve the Accuracy of Cause of Death Reporting• Beginning in January 2010, the NYC health code requires all users of the electronic death registration system (EDRS) to complete an on-line course that teaches the principles of cause of death determination.
• In 2011, the Bureau of Vital Statistics completed a second phase of its hospital-level interventions to improve the accuracy of cause of death reporting, reaching 12 additional hospitals.
• Physician pocket cards and a hospital poster were developed and disseminated as a part of the second phase of the intervention.
More information on NYC’s cause of death improvement efforts are available at: http://www.nyc.gov/html/doh/html/vs/vs-cod-quality.shtml
4544 78
Rates and Ratios Defined
The numerators of the rates in these tables are events occurring in New York City and reported during the year, unless otherwise specified. The denominator is theresident population figure, including all ages and both sexes, unless otherwise specified.
Live Birth Rate - The number of live births per 1,000 population. Perinatal Mortality Ratio - The number of fetal deaths of 28 weeks gestation and Live Births x 1,000 greater plus the number of early neonatal (under seven days) deaths per 1,000 fetal Population deaths of 28 weeks gestation and greater plus live births.
( Fetal Deaths 28 Weeks and Over + Infant Deaths Under 7 Days ) x 1,000Marriage Rate - The number of marriages per 1,000 population. Fetal Deaths 28 Weeks and Over + Live Births Marriages x 1,000 Population Death Rate, all causes - The number of deaths per 1,000 population.
Deaths All Causes x 1,000Infant Mortality Rate - The number of infant (under one year of age) deaths Populationper 1,000 live births.Neonatal Mortality Rate - The number of neonatal (under 28 days) deaths per Death Rate, specified causes The number of deaths due to a specified cause1,000 live births. per 100,000 population.Post-neonatal Mortality Rate - The number of post-neonatal (28 days to under Death Rate, age and sex specific The number of deaths of persons of specifiedone year of age) deaths per 1,000 live births. age and sex per 1,000 population of the specified age and sex. Infant Deaths x 1,000 Death Rate, age, sex and race adjusted - The number of deaths per 100,000 standard Live Births population. Age, sex and race specific death rates are applied to a standard population
eliminating the effect of differences in population composition, and allowingFetal Death Ratio - The number of fetal deaths of 28 weeks gestation and comparisons over time or between geographic areas.over per 1,000 live births. Maternal Mortality Ratio - The number of deaths due to complications of pregnancy, Fetal Deaths 28 Weeks and Over x 1,000 childbirth and the puerperium occurring within 42 days of delivery per 100,000 live Live Births births.
Fertility Rate - Live births per 1,000 women aged 15-44 years. Fetal-infant Mortality Rate The number of fetal deaths of 24 weeks gestation and Live Births x 1,000 greater plus infant deaths per 1,000 live births and fetal deaths, excluding weight at Female Population Aged 15-44 delivery less than 500 grams.
(Fetal Deaths 24 Weeks and Over+Infant Deaths) x 1,000 (Fetal Deaths 24 Weeks and Over+Live Births)
46
VITAL EVENT REPORTINGThe number of deaths is based on certificates filed with the New York City Department of Health and Mental Hygiene (DOHMH). In 2010, 83% of death certificates were filed electronically through the Electronic Vital Events Registration System (EVERS). Vital event data are based on the year they occurred in New York City to both residents and nonresidents. Any events registered after file closure are excluded from this report. Such late registrations are rare.
POPULATION
Citywide
The New York City Department of City Planning (DCP) provided the Bureau of Vital Statistics with Census data based on the US Census as of April 1, 2010, and updated intercensal population estimates as of July 1 for 2001-2010. The US Census population count for New York City is 8,175,133 in 2010. Smaller geographical areas and demographic groups are derived by DCP using population data files from the 2010 Census. In the 2010 Summary of Vital Statistics, tables or figures with single year of data use 2010 Census population count; tables and figures with trend data use updated intercensal population estimates.
raCe/ethniCity Categories
Beginning with the 2000 Census, respondents could describe themselves and household members as being of more than one race, selecting at least one of six race categories: white, black, American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, and some other race(s). These categories yield 63 possible combinations. Respondents also were asked if they were of Hispanic origin. The resulting responses could be organized into 64 groups. DCP collapses these groups into seven categories: Hispanic origin, non-Hispanic white, non-Hispanic black, non-Hispanic Asian or Pacific Islander, non-Hispanic American Indian and Alaska Native, non-Hispanic of some other race, and non-Hispanic of two or more races, which the DCP refers to as “mutually exclusive race and Hispanic categories. The first four of these categories are reflected in the Vital Statistics Summary variable “ethnic group” with a 5th that combines non-Hispanic American Indian and Alaska Native, non-Hispanic of some other race, non-Hispanic of two or more races and other or multiple race. For more information, see “Race, Ancestry, and Ethnic Group.”
CoMMunity distriCt
The 2010 community district population estimates by sex and 18 age groups were derived by DCP. In order to derive community district data by race/ethnicity and 22 age groups for the same period, as needed for reporting of the Annual Summary of Vital Statistics, the DOHMH produces its own estimates, constructed from the DCP data provided and available Census 2000 and 2010 data, ensuring consistency with marginal totals from the Census Intercensal Estimates program. Postcensal estimates as well as the official 2010 modified race summary files are used. Because the 2010 modified race summary file is not available from the Census for single-year age by modified race groups, the DOHMH uses the Census summary file 1 and adjusts the dataset to match the Census modified race summary file. To create the modified race groups, the “some other race” group is removed and race is imputed. While the modified race summary file created by the Census attempts to use information from other members of the same household, the DOHMH uses race information from the corresponding Census tract. The race distribution is then modified to match the 2010 modified race summary file.
age Categories
For life expectancy computations, single-year age group populations are based on decennial census counts. In 2010 Summary, life expectancies for 2001-2008 are updated by using linear interpolation of single-year age group populations based on 2000 and 2010 census counts. Life expectancies for 2009 are also calculated based on same interpolated population.
DEMOGRAPHIC CHARACTERISTICS OF VITAL EVENTS
raCe, anCestry, and ethniC grouP
Race and ancestry are two separate items on the certificates. A relative of the decedent usually reports this information to the funeral director for the death certificate. As of 2003, the death certificate allows for the selection of multiples races. Responses are coded following rules from the National Center for Health Statistics (NCHS). The ordered selection rules for defining ethnic group first assign Puerto Rican or other Hispanic ethnicities based on ancestry, regardless of race. Then, those of other or unknown ancestries are classified by race as Asian, non-Hispanic white, non-Hispanic black, or other/multiple race/unknown.
NCHS defines ancestry as the nationality, lineage, or country where the subject’s ancestors were born before their arrival in the United States. If a religious group is reported, NCHS instructions are to ask for the country of origin or nationality. New York City receives enough certificates reporting Jewish or Hebrew ancestry to warrant inclusion in these tables, notwithstanding the religious meaning of the terms. Persons whose race is black and whose ancestry is American are classified as being of African American ancestry.
birthPlaCe
Decedent’s birthplace is reported by country. US Virgin Islands and Guam are included in United States.
POPULATION AND MORTALITY, TECHNICAL NOTES, 2010
47
GEOGRAPHICAL UNITS
data Presentation
Tables that stratify by location of residence (e.g., borough) separate data for nonresidents and residence-unknown categories– see Table M1 as an example. Tables that do not stratify by location of residence combine all deaths registered in New York City, regardless of residence.
Deaths that occurred to New York City residents while outside of New York City are not included in this report, with the exception of Life Expectancy (Tables M24, M25, and Figure M14). Life expectancy calculations use national data from the National Center for Health Statistics, including deaths to New York City residents that occurred outside of New York City. For more information see Life Expectancy.
PlaCe of death
“Hospital” includes residential units and other special facilities within the hospital. “Nursing home” includes only sites licensed as Extended Care Facilities by New York State. “Home” refers to the decedent’s residence, and includes private houses and apartments, group quarters for special populations, homes for adults, and other long-term residential sites.
borough of residenCe
Borough of residence and other geographic classifications are based on the usual residence reported on the certificate.
CoMMunity distriCt (Cd) Community districts were established by City Charter in 1969 for the delivery of city services. Population figures for these districts are compiled by DCP from census tract and census block data. The sum of the community district populations in each borough may not equal the borough population or the citywide population because community districts may cross borough boundaries. Since 1985, assignments to geographic areas smaller than borough, such as community district, are made through the Geosupport Program, which is developed and maintained by the Department of City Planning. Additional information on community district geography can be found at www.nyc.gov/dcp.
DEATHS
death rePorting
Death certificates must be filed within 72 hours of death or finding the body. Beginning January 2010, the NYC Health Code mandates the electronic filing of deaths that occur at a facility reporting 25 or more deaths. Beginning in April 2010, all medical examiner cases are filed electronically. During 2010, 83% of certificates were fully filed electronically using the Electronic Death Registrations System (EDRS). Additional information on EDRS is available at: www.nyc.gov/evers. With the revision of the death certificate, starting in June 1993, decedent race and ancestry information is reported by funeral directors.
Cause of death rePorting
The cause of death on the death certificate is completed by a physician or medical examiner. The physician is required to provide the complete sequence of events and/or medical conditions leading to the death. These include the following:
• immediate cause – the specific condition that directly preceded the death
• intermediate cause(s) – the significant condition(s) that preceded and gave rise to the immediate cause of death
• underlying cause – the disease or condition that set off the chain of events leading to death. For further information on how cause of death should be documented, visit www.nyc.gov/evers.
The Office of Vital Statistics initiated a program to improve quality of cause of death data in 2009, affecting mortality statistics. See the NYC Summary of Vital Statistics 2010, Special Section, for more information.
Cause of death Coding
Since 2008, the reported causes of death are coded using the NCHS automated coding software package SuperMICAR, which classifies conditions according to the International Classification of Diseases (ICD) published by the World Health Organization. A single underlying cause is assigned based on the reported chain of events leading to death. Standardized codes allow for national and international comparisons.
Table M1 is based on the NCHS List of 113 Selected Causes of Death. Some causes have been added to or dropped from these tables based on their number and importance in New York City.
Death trends across ICD code revision years may display changes in trends that are artifacts of the change in ICD codes and coding rules. These should be interpreted with caution.
CoMParability ratio National comparability ratios, last updated in 2003, reflect discontinuities in trend data for the cause of death when a new version of the ICD is implemented. They are presented in this Summary in Table M1 to explain changes in following the implementation of the ICD-10 coding system in January 1999.
Comparability ratios measure the net effect of ICD-10 on each cause of death. NCHS determined the causes of death under ICD-10 and ICD-9 for more than 2.3 million 1996 US mortality records and calculated the ratio:
POPULATION AND MORTALITY, TECHNICAL NOTES, 2010 (CONTINUED)
48
Deaths from cause “i” under ICD-10
Deaths from cause “i” under ICD-9
More information on the ICD-10/ICD-9 comparability ratio can be found at http://www.cdc.gov/nchs/data/nvsr/ nvsr49/ nvsr49_02.pdf.
hiv and aids Mortality Beginning 1999, with the 10th revision of the ICD code, deaths due to HIV disease (ICD-10 codes B20-B24) are characterized by the resulting disease or condition.
Maternal death and Maternal Mortality Deaths due to “Maternal Causes” use the World Health Organization’s definition of maternal mortality, “deaths of a woman while pregnant or within 42 days of termination of pregnancy from any cause related to or aggravated by the pregnancy or its management ....” With the 10th revision of the ICD coding system, this category includes codes O00-O95, O98-O99 and A34 (obstetrical tetanus). “Pregnancy, childbirth and the puerperium” (O00-O99) includes deaths to women that occur outside of the time limitation defined by the World Health Organization (WHO).
external Causes of death
External causes of death include accidents, suicide, assault, legal intervention, events of undetermined intent, operations of war and their sequelae, and complications of medical and surgical care. The Office of the Chief Medical Examiner determines the cause and manner of death in such cases. For the purpose of statistical analysis, whether a cause is defined as external depends on the ICD code assigned as the underlying cause of death and may not agree with the manner of death reported.
Sometimes a cause of death has not been established when the statistical file is closed. Such deaths are classified as “pending final determination” and may later be classified.
Deaths classified as “events of undetermined intent” are considered due to external causes for the purpose of statistical analysis.
drug-related deaths “Two definitions of drug-related…are presented in this report. The first, “Mental and behavioral disorders due to the use of or accidental poisoning by psychoactive substance excluding alcohol and tobacco” is based on NCHS standard cause of death definitions using underlying causes as a basis for categorizing deaths. The second definition, Accidental/unintentional Drug-related Overdose Deaths is presented in the 2012 TCNY, Priority Area 7 Risky Alcohol Use and Drug Dependence and in the Executive Summaries of Summary of Vital Statistics, starting in 2009.
“Mental and behavioral disorders due to use of or accidental poisoning by psychoactive substance excluding alcohol and tobacco” also called “Use of or poisoning by psychoactive substance” combines underlying chronic drug-use ICD codes (F11-F16, F18-F19) and accidental (unintentional) drug-poisoning ICD-10 codes (X40-X42, X44) to estimate overall drug-related deaths. This definition is found in Tables M1, M7, M8, M9, M10, M11, M12, and M26. “Accidental poisoning by psychoactive substances, excluding alcohol and tobacco,” the “accidental” subset of underlying codes (X40-X42, X44) are reported in Tables M1 and M18. “Mental and behavioral disorders due to the use of psychoactive substance excluding alcohol and tobacco”, the “chronic” subset of underlying codes (F11-F16, F18-F19) is found in Table M1. However, please use “accidental” (unintentional) and “chronic” subset trend data with caution as changes from manual to automated ICD coding resulted in a redistribution of chronic causes to acute in 2007 and going forward.
A slight different definition of drug-related deaths that was used in the Take Care New York (TCNY) 2012 indicator in Priority Area 7, Reduce Risky Alcohol Use and Drug Dependence.
Deaths due to alcohol and tobacco are reported separately. See Smoking and Alcohol-attributable Mortality below.
hoMiCide
A homicide is defined as the action of one person causing the death of another regardless of intent (e.g., whether self-defense or justifiable legal intervention). Annual counts of homicides reported by the New York City Police Department (NYPD) differ from those of the Bureau of Vital Statistics (BVS) counts for a number of reasons outlined below. Nonetheless, reported trends are similar.
NYPD reports homicides as counts of Murder and Non-Negligent Manslaughter using rules and procedures from the Federal Bureau of Investigation’s Uniform Crime Reporting System (UCR). The count includes deaths determined to be both criminal and satisfying the UCR guidelines. NYPD judges some homicides as justifiable and reports these separately to the FBI. BVS reports a death as a homicide based on the ICD-10 system. All homicides are medical examiner (ME) cases. ICD-10 defines legal intervention as “including injuries inflicted by police or other law-enforcing agents ... in the course of arresting or attempting to arrest ... and other legal action.” Since 2003, deaths from legal intervention have been reported separately in Tables M1 and M20 and are excluded from the homicide counts in Tables M11 and M12.
NYPD Murder and Non-Negligent Manslaughter statistics count all murders known to have been committed in New York City regardless of where the death occurred. BVS reports all homicide deaths known to have occurred in New York City regardless of where the crime was committed.
In its annual count, the NYPD includes homicides known to have occurred within that calendar year by the second week of January of the following year. Any death determined to be a criminal murder outside of that period will be counted in the year that the determination is made. BVS reports homicide by the date of the death and the Annual count includes any cases reported until the file closes for the year
POPULATION AND MORTALITY, TECHNICAL NOTES, 2010 (CONTINUED)
49
(approximately 10 months after the end of the year).
Sometimes death results from a crime many years after the crime was committed. Other times, a death may be determined a crime years after the death. In either situation, the ME may determine the death a homicide. If classified as a criminal homicide, NYPD will count the death in the year that the determination is made. However BVS will report the homicide by the date of death. In cases where a death is reclassified a homicide after the file closes, the death will be recorded as a homicide on the death certificate, but this change will not be reflected in any counts of homicides for the year of death or any other years.
CoMPliCations of MediCal and surgiCal Care
With the 10th revision of the ICD coding system, complications of medical and surgical care are no longer classified as accidents and are now shown separately from accidents (Table M22).
Motor vehiCle deaths
The Bureau of Vital Statistics (BVS) methodology for counting Motor Vehicle Deaths differs from that of the Department of Transportation (DOT) and NYPD in two ways. First, DOT and NYPD do not include deaths resulting from illness while operating a motor vehicle in their traffic fatality count, while BVS does, as this is the standardized NCHS approach. Second, in cases where serious injury suffered during a motor vehicle accident results in subsequent death (e.g., one month later) the fatality will be counted by DOT and NYPD for the month in which the accident occurred. However, BVS reports deaths by date of death.
world trade Center (wtC) deaths
Since 2008, any deaths during the reporting year identified as late-effect WTC deaths are counted in the year of the confirmed death report and in Table M1 under Assault (homicide): ICD-10 Code U02. The current total, based on death certificates filed through December 24, 2010, is 2,752, of which 2,749 occurred within city limits. Unless otherwise specified, WTC deaths occurring in 2001 are generally not included in Summary tables and figures due to the effect this large number would have on year-to-year trends.
fatal oCCuPational injuries
Table M17 and Figure M12 are based on US. Department of Labor’s Bureau of Labor Statistics. These deaths, unlike NYC Vital Statistics data, include all fatal injuries occurring in New York City regardless of the residence of decedents or location of the deaths. The industry in which the decedent worked and was injured is coded based on the North American Industry Classification System (NAICS). Comparisons by industry before and after 2003 are discouraged because of the substantial coding differences.
For all NYC occurring deaths due to external causes, BVS reviews autopsy and other reports to determine if the injury occurred at work. Definitions and terminology are based on US Department of Labor’s Bureau of Labor Statistics, which may differ from other definitions used in vital statistics.
sMoking- and alCohol-attributable Mortality
Smoking- and alcohol-attributable deaths represent the number of New York City deaths attributed to exposure to smoking and alcohol, respectively. These statistics were computed using similar methodologies.
sMoking-attributable Mortality (saM) SAM was calculated using CDC’s Adult SAMMEC (Smoking-Attributable Mortality, Morbidity, and Economic Costs) program using an attributable fraction formula. New York City sex-specific smoking prevalence was estimated from the New York City DOHMH Community Health Survey (CHS) and computed by the Bureau of Epidemiology. The relative risks (RR) of death for current and former smokers ≥35 years of age for 19 smoking-related diseases were estimated from the American Cancer Society’s Cancer Prevention Study. The smoking-attributable fraction (SAF) for each smoking-related disease and sex is calculated using the following formula:
SAF = [(p0 + p1(RR1) + p2(RR2)) - 1] / [p0 + p1(RR1) + p2(RR2)],where p0 is the percentage of adult never-smokers in New York City; p1 is the percentage of adult current smokers in New York City; p2 is the percentage of adult former-smokers in New York City; RR1 is the relative risk of death for adult current smokers relative to adult never-smokers; and RR2 is the relative risk of death for adult former-smokers relative to adult never-smokers.
To estimate the SAM, the age- and sex-specific SAFs are multiplied by the number of deaths for each smoking-related disease. Specifically, the number of deaths for each sex and 5-year age category was multiplied by the SAF:
SAM = Number of deaths x SAFSumming across age categories provides the sex-specific estimate of SAM for each disease. Total SAM is the sum of the sex-specific SAM estimates. A detailed description of the methodology is available at http://apps .nccd.cdc.gov/sammec.
alCohol-attributable Mortality (aaM) AAM was calculated using the Alcohol-Related Disease Impact (ARDI) program using an alcohol-attributable fraction (AAF). For conditions that, by definition, are caused by alcohol use, the AAF was set equal to 1.0. For other conditions, especially injuries, ARDI directly estimated the AAF based on direct observations about the relationship between alcohol and a given health outcome. For most chronic conditions, the AAF was indirectly estimated using New York City alcohol prevalence data from the CHS combined with pooled risk estimates from large meta-analyses using the following formula:
AAF = [ p(RR – 1)] / [1+ (p(RR – 1)],where p is the percentage of New York City men and women age 20 years and older who consume alcohol at a specified level of
POPULATION AND MORTALITY, TECHNICAL NOTES, 2010 (CONTINUED)
50
average daily alcohol consumption within a given year, and RR is the likelihood of death from a particular condition at a specified level of average daily alcohol consumption. To estimate AAM, AAFs were multiplied by the number of New York City deaths for specific causes defined by CDC’s National Center for Chronic Disease Prevention and Health Promotion. Detailed description of the methodology is available at http://apps.nccd.cdc.gov/ardi/HomePage.aspx.
age at death For ages greater than one year, decedent’s age is based on age at last birthday. Unknown ages are not recoded.
life exPeCtanCy
Life expectancy tables summarize the effect of mortality rates prevailing at a specific time on persons being born or living at that time. Tables may be computed for population subgroups, most often males, females, and race groups. The calculation requires counts and mortality figures for the desired subgroups. Life expectancy is estimated by ethnic group instead of race to ascertain differences among Hispanics, non-Hispanic whites and non-Hispanic blacks. Life expectancy tables by race/ethnicity for New York City are generally presented for census years when accurate population data are available (Table M24). The mortality experience for the census year, the year before, and the year after is used to smooth statistical variation. To enable comparison, life expectancy for 1990 was recalculated by ethnic group.
The World Trade Center disaster deaths are not included in calculation of life expectancy in Table M24.
Table M25 presents annual life expectancy by age and sex providing trend information. Annual life expectancy is estimated using single-year death data. Table M25 does not include life expectancy for 2010 because national data on deaths to New York City residents occuring outside of New York City are required and not yet available.
Historical Hispanic ancestry data and life expectancy estimates should be interpreted with caution. In addition to changes in collection of Hispanic ancestry information, Hispanic immigration patterns may result in overestimated life expectancy if Hispanics move out of the US before death at a greater rate than other ethnic groups. The Hispanic population tends to be younger than other ethnic groups, which may lead to underestimates of Hispanic death rates and overestimates of Hispanic life expectancy.
years of Potential life lost
Years of potential life lost (YPLL) measures years lost due to premature death. In contrast to mortality measures, YPLL emphasizes the effect of premature mortality on a population. YPLL is often calculated using a cutoff age, 65 or 75, as follows:
YPLL=∑[(cutoff age - i )] x di
where i is the midpoint of the grouped year of age at death and di is the number of deaths at grouped year of age i. YPLL can be calculated for specified causes of death. In Table M26, age 75 is used as the cut off age and single year of age is used in calculation. Therefore i is single year of age younger than 75.
POPULATION AND MORTALITY, TECHNICAL NOTES, 2010 (CONTINUED)
51
glossary of terMs
External Causes: Deaths resulting from accident, suicide, assault, legal intervention, events of undetermined intent, operations of war and their sequelae, and complications of medical and surgical care.
Natural Causes: Deaths resulting from diseases rather than external causes, such as violence or drug use.
Leading Causes: The most frequent causes of death ranked in descending order. Heart disease and cancer are usually the leading causes of death in New York City.
Life Expectancy: The expected number of years of life remaining for people of a certain age at a certain point in time.
Occupational Deaths: Fatal work-related injuries that occurred in New York City, regardless of the residence of the decedent or location of the deaths.
Premature Deaths: Any deaths that occur before the age of 65 years.
Selected Causes: The Selected Causes are based on the National Center for Health Statistics (NCHS) list of 113 Se-lected Causes of Death.
Years of Potential Life Lost (YPLL): Years of life lost due to premature deaths before a defined cutoff age. New York City Vital Statistics tables use a cutoff age of 75 years.
52
new york City CertifiCates of death New York City data on births, deaths, and spontaneous and induced terminations of pregnancy are derived from vital event certificates filed with the New York City Department of Health and Mental Hygiene. Samples are displayed on the pages that follow. For all pregnancies, a birth or termination of pregnancy certificate must be filed, regardless of gestational age.
death CertifiCate Death certificates must be filed within 72 hours of death or finding the body. There are two forms, one for natural causes and one for medical examiner cases.
• Natural cause practitioner certificates - Most deaths (85%) are due to natural causes.
• Medical examiner certificate of death - When the cause of death is an accident, homicide, suicide, or is unattended or due to certain other circumstances (approximately 15% of deaths), the New York City Office of Chief Medical Examiner (OCME) completes the medical examiner certificate of death and supplementary report. For natural cause certificates, the Electronic Vital Events Registration System’s (EVERS) Electronic Death Registration System (EDRS) became available for voluntary use by hospitals in 2005. In January 2010, EDRS reporting became mandatory for medical examiner certificates. In April 2010, EDRS reporting became mandatory for hospitals reporting >25 deaths per year.
The two forms are similar. Both collect important information pertaining to the fact of death (person, place, and time of death). Both collect “personal particulars” which include items such as decedent’s Social Security number, address, birth place, education, marital status, informant’s information, and place of disposition. The personal particulars are typically provided by the family of the decedent through the funeral home. Both collect cause of death, which is completed by the physician or a medical examiner. On the natural cause certificate, the cause of death is entered on the confidential medical report, the OCME certificate, and on the death certificate itself. In addition to cause of death, the OCME certificate collects information on the circumstances of external causes of death. The OCME certificate indicates manner of death: natural, accident, homicide, suicide, or undetermined. The confidential medical report information is for the compilation of public health statistics and scientific purposes only.
53
5. Date last attended by a Physicianmm dd yyyy
6. Certifier: I certify that death occurred at the time, date and place indicated and that to the best of my knowledge traumatic injury or poisoning DID NOT play any part in causing death, and that death did not occur in any unusual manner and was due entirely to NATURAL CAUSES. See instructions on reverse of certificate.
Name of Physician Signature
Address License No. Date
D.O.M.D.
CERTIFICATE OF DEATH
1. DECEDENT’SLEGAL NAME
(First, Middle, Last)
THE CITY OF NEW YORK – DEPARTMENT OF HEALTH AND MENTAL HYGIENE
Certificate No.
DATE FILED
(Type or Print)
8. Date of Birth (Month) (Day) (Year-yyyy) 9. Age at last birthday(years)
Under 1 Year Under 1 Day
Months Days Hours Minutes
10. Social Security No.
11a. Usual Occupation (Type of work done during most of working life. Do not use “retired”)
11b. Kind of business or industry 12. Aliases or AKAs
13. Birthplace (City & State or Foreign Country)
18. Father’s Name (First, Middle, Last)
20a. Informant’s Name
19. Mother’s Maiden Name (Prior to first marriage) (First, Middle, Last)
20b. Relationship to Decedent 20c. Address (Street and Number Apt. No. City & State ZIP Code)
22a. Funeral Establishment 22b. Address (Street and Number City & State ZIP Code)
14. Education (Check the box that best describes the highest degree or level of school completed at the time of death)1 � 8th grade or less; none 4 � Some college credit, but no degree 7 � Master’s degree (e.g., MA, MS, MEng, MEd, MSW, MBA)2 � 9th – 12th grade; no diploma 5 � Associate degree (e.g., AA, AS) 8 � Doctorate (e.g., PhD, EdD) or 3 � High school graduate or GED 6 � Bachelor’s degree (e.g., BA, AB, BS) Professional degree (e.g., MD, DDS, DVM, LLB, JD)
7a. Usual Residence State 7b. County 7c. City or Town 7e. Inside City Limits?
1 � Yes 2 � No
7d. Street and Number Apt. No. ZIP Code
15. Ever in U.S. Armed Forces?
1 � Yes 2 � No
17. Surviving Spouse’s/Partner’s Name (If wife, name prior to first marriage)(First, Middle, Last)16. Marital/Partnership Status at time of death1 � Married 2 � Domestic Partnership 3 � Divorced4 � Married, but separated 5 � Never Married 6 � Widowed7 � Other, Specify 8 � Unknown
21a. Method of Disposition1 � Burial 2 � Cremation 3 � Entombment 4 � City Cemetery
5 � Other Specify
21c. Location of Disposition (City & State or Foreign Country)
21b. Place of Disposition (Name of cemetery, crematory, other place)
Date and Time of Death
3a. (Month) (Day) (Year-yyyy) 3b. Time � AM
� PM
4. Sex
21d. Date of mm dd yyyyDisposition
1 2 3 4 5
VR 15 (Rev. 12/09)
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2e. Name of hospital or other facility (if not facility, street address)2c. Type of Place 4 � Nursing Home/Long Term Care Facility1 � Hospital Inpatient 5 � Hospice Facility2 � Emergency Dept./Outpatient 6 � Decedent’s Residence3 � Dead on Arrival 7 � Other Specify
2d. Any Hospice carein last 30 days1 � Yes 2 � No3 � Unknown
54
CONFIDENTIAL MEDICAL REPORTVR 15 (Rev. 12/09)
I am submitting herewith a confidential report of the cause of death.
24. Race as defined by the U.S. Census (Check one or more toindicate what the decedent considered himself or herself to be)
01 � White 02 � Black or African American03 � American Indian or Alaska Native
(Name of enrolled or principal tribe) 04 � Asian Indian 05 � Chinese06 � Filipino 07 � Japanese08 � Korean 09 � Vietnamese10 � Other Asian–Specify11 � Native Hawaiian 12 � Guamanian or Chamorro13 � Samoan14 � Other Pacific Islander–Specify15 � Other–Specify
23.Ancestry (Check one box and specify)� Hispanic (Mexican, Puerto
27a. If Female1 � Not pregnant within 1 year of death2 � Pregnant at time of death 3 � Not pregnant at death, but pregnant within 42 days of death4 � Not pregnant at death, but pregnant 43 days to 1 year
before death5 � Unknown if pregnant within 1 year of death
29. Did tobacco use contribute to death?
1 � Yes 2 � No 3 � Probably 4 � Unknown
28. Was this casereferred to OCME?
1 � Yes
2 � No
30. For infant under one year: Name and address of hospital or other place of birth
SIGNATURED.O.M.D. ADDRESS LICENSE NO.
To be filled in by FUNERAL DIRECTOR or, in case of City Burial, by Physician
THE CITY OF NEW YORK – DEPARTMENT OF HEALTH AND MENTAL HYGIENE
Certificate No.
DECEDENT’S LEGAL NAME (Type or Print)
IMMEDIATE CAUSE FINAL disease or conditionresulting in death.
CAUSE OF DEATH–Enterthe chain of events—diseases, complications or abnormalities–that directly caused the death. DO NOT enter terminalevents such as cardiacarrest, respiratory arrest, or ventricular fibrillationwithout showing the etiology.
Sequentially list conditions, ifany, leading to the causelisted on line a. Enter theUNDERLYING CAUSE(disease that initiated theevents resulting in death)LAST.
OPERATION-Enter in Part II information onoperation or procedure related to disease orconditions listed in Part I.
SUBSTANCE USEInclude the use of tobacco,alcohol or other substance ifthis caused or contributed todeath. SPECIFY IN PART Ior PART II.
a. IMMEDIATE CAUSE
b. DUE TO OR AS A CONSEQUENCE OF
c. DUE TO OR AS A CONSEQUENCE OF
d. DUE TO OR AS A CONSEQUENCE OF
OTHER SIGNIFICANT CONDITIONS CONTRIBUTING TO DEATH but not resulting in the underlying cause given in Part I. Include operation information.
25. CAUSE OF DEATH – List only one cause on each line. DO NOT ABBREVIATE.
PA
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27c. Date of Outcome
mm dd yyyy
CERTIFICATE OF DEATH
PlaceOf
Death
2a. New York City
2b. Borough
2d. Name of hospital or other facility (if not facility, street address)
Date and Time of Deathor Found Dead
3a. (Month) (Day) (Year-yyyy) 3b. Time � AM � PM
4. Sex 5. OCME Case No.
6. CAUSEOFDEATH
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a. Immediate cause
b. Due to or as aconsequence of
c. Due to or as aconsequence of
7a. Injury Date (mm dd yyyy) 7b. Time� AM
� PM
7c. At Work1 � Yes
2 � No
7d. Place of Injury – At home, factory, street, etc.
7e. Location7f. How Injury Occurred
7g. If Transportation Injury Specify
� Driver/Operator � Pedestrian
� Passenger
� Other Specify
9. Autopsy� Yes� No AutopsyPursuant to Law� No Autopsy
8. Manner of Death� Pending further study� Natural � Homicide� Accident � Suicide � Undetermined
10. On the basis of examination and/or investigation, in my opinion, death occurred due to the causes and manner as stated:
Certifier Signature M.D. Date
Certifier Name (Print)(Medical Investigator) (Deputy Chief) (Chief) (Medical Examiner)
THE CITY OF NEW YORK – DEPARTMENT OF HEALTH AND MENTAL HYGIENECertificate No.
DATE FILED
� New� Corr/Amend� Replacement
1. DECEDENTʼSLEGAL NAME
(First Name) (Middle Name) (Last Name)
Other significant conditions contributing to death but not resulting in the underlying cause given in Part I. Include operation information.
12. Date of Birth (Month) (Day) (Year-yyyy) 13. Age at last birthday(years)
Under 1 Year Under 1 DayMonths Days Hours Minutes
14. Social Security No.
15a. Usual Occupation (Type of work done during most of working life. Do not use “retired”)
15b. Kind of business or industry 16. Aliases or AKAs
17. Birthplace (City & State or Foreign Country)
22. Fatherʼs Name (First, Middle, Last)
24a. Informantʼs Name
23. Motherʼs Maiden Name (Prior to first marriage) (First, Middle, Last)
24b. Relationship to Decedent 24c. Address (Street and Number Apt. No. City & State ZIP Code)
26a. Funeral Establishment 26b. Address (Street and Number City & State ZIP Code)
11a. Usual Residence State 11b. County 11c. City or Town 11e. Inside City Limits?1 � Yes 2 � No
11d. Street and Number Apt. No. ZIP Code
19. Ever in U.S. Armed Forces?
1 � Yes 2 � No
21. Surviving Spouseʼs Name (If wife, name prior to first marriage) (First, Middle, Last)20. Marital Status at Time of Death1 � Married 3 � Married, but separated 5 � Widowed2 � Divorced 4 � Never married 6 � Unknown
25c. Location of Disposition (City & State or Foreign Country)
25b. Place of Disposition (Name of cemetery, crematory, other place)
25d. Date of mm dd yyyyDisposition
2c. Type of Place 4 � Nursing Home/Long Term Care Facility1 � Hospital Inpatient 5 � Hospice Facility2 � Emergency Dept./Outpatient 6 � Decedentʼs Residence3 � Dead on Arrival 7 � Other Specify
1 2 3 4 5
18. Education (Check the box that best describes the highest degree or level of school completed at the time of death)1 � 8th grade or less; none 4 � Some college credit, but no degree 7 � Masterʼs degree (e.g., MA, MS, MEng, MEd, MSW, MBA)2 � 9th – 12th grade; no diploma 5 � Associate degree (e.g., AA, AS) 8 � Doctorate (e.g., PhD, EdD) or 3 � High school graduate or GED 6 � Bachelorʼs degree (e.g., BA, AB, BS) Professional degree (e.g., MD, DDS, DVM, LLB, JD)
25a. Method of Disposition1 � Burial 2 � Cremation 3 � Entombment 4 � City Cemetery 5 � Other Specify
VR 16 (Rev. 01/03)
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55
CERTIFICATE OF DEATH
PlaceOf
Death
2a. New York City
2b. Borough
2d. Name of hospital or other facility (if not facility, street address)
Date and Time of Deathor Found Dead
3a. (Month) (Day) (Year-yyyy) 3b. Time � AM � PM
4. Sex 5. OCME Case No.
6. CAUSEOFDEATH
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a. Immediate cause
b. Due to or as aconsequence of
c. Due to or as aconsequence of
7a. Injury Date (mm dd yyyy) 7b. Time� AM
� PM
7c. At Work1 � Yes
2 � No
7d. Place of Injury – At home, factory, street, etc.
7e. Location7f. How Injury Occurred
7g. If Transportation Injury Specify
� Driver/Operator � Pedestrian
� Passenger
� Other Specify
9. Autopsy� Yes� No AutopsyPursuant to Law� No Autopsy
8. Manner of Death� Pending further study� Natural � Homicide� Accident � Suicide � Undetermined
10. On the basis of examination and/or investigation, in my opinion, death occurred due to the causes and manner as stated:
Certifier Signature M.D. Date
Certifier Name (Print)(Medical Investigator) (Deputy Chief) (Chief) (Medical Examiner)
THE CITY OF NEW YORK – DEPARTMENT OF HEALTH AND MENTAL HYGIENECertificate No.
DATE FILED
� New� Corr/Amend� Replacement
1. DECEDENTʼSLEGAL NAME
(First Name) (Middle Name) (Last Name)
Other significant conditions contributing to death but not resulting in the underlying cause given in Part I. Include operation information.
12. Date of Birth (Month) (Day) (Year-yyyy) 13. Age at last birthday(years)
Under 1 Year Under 1 DayMonths Days Hours Minutes
14. Social Security No.
15a. Usual Occupation (Type of work done during most of working life. Do not use “retired”)
15b. Kind of business or industry 16. Aliases or AKAs
17. Birthplace (City & State or Foreign Country)
22. Fatherʼs Name (First, Middle, Last)
24a. Informantʼs Name
23. Motherʼs Maiden Name (Prior to first marriage) (First, Middle, Last)
24b. Relationship to Decedent 24c. Address (Street and Number Apt. No. City & State ZIP Code)
26a. Funeral Establishment 26b. Address (Street and Number City & State ZIP Code)
11a. Usual Residence State 11b. County 11c. City or Town 11e. Inside City Limits?1 � Yes 2 � No
11d. Street and Number Apt. No. ZIP Code
19. Ever in U.S. Armed Forces?
1 � Yes 2 � No
21. Surviving Spouseʼs Name (If wife, name prior to first marriage) (First, Middle, Last)20. Marital Status at Time of Death1 � Married 3 � Married, but separated 5 � Widowed2 � Divorced 4 � Never married 6 � Unknown
25c. Location of Disposition (City & State or Foreign Country)
25b. Place of Disposition (Name of cemetery, crematory, other place)
25d. Date of mm dd yyyyDisposition
2c. Type of Place 4 � Nursing Home/Long Term Care Facility1 � Hospital Inpatient 5 � Hospice Facility2 � Emergency Dept./Outpatient 6 � Decedentʼs Residence3 � Dead on Arrival 7 � Other Specify
1 2 3 4 5
18. Education (Check the box that best describes the highest degree or level of school completed at the time of death)1 � 8th grade or less; none 4 � Some college credit, but no degree 7 � Masterʼs degree (e.g., MA, MS, MEng, MEd, MSW, MBA)2 � 9th – 12th grade; no diploma 5 � Associate degree (e.g., AA, AS) 8 � Doctorate (e.g., PhD, EdD) or 3 � High school graduate or GED 6 � Bachelorʼs degree (e.g., BA, AB, BS) Professional degree (e.g., MD, DDS, DVM, LLB, JD)
25a. Method of Disposition1 � Burial 2 � Cremation 3 � Entombment 4 � City Cemetery 5 � Other Specify
VR 16 (Rev. 01/03)
MED
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56
I certify that I personally examined the body onat
SIGNATURE:
I did not personally examine the body after death.
MEDICAL EXAMINERʼS SUPPLEMENTARY REPORTVR 16 (Rev. 01/03) Certificate No.
DECEDENTʼS LEGAL NAME (Type or Print)
To be filled in by FUNERAL DIRECTOR or, in case of City Burial, by OCME
THE CITY OF NEW YORK – DEPARTMENT OF HEALTH AND MENTAL HYGIENE
29a. If Female1 � Not pregnant within 1 year of death2 � Pregnant at time of death 3 � Not pregnant at death, but pregnant within 42 days of death4 � Not pregnant at death, but pregnant 43 days to 1 year before death5 � Unknown if pregnant within 1 year of death
30. Did tobacco use contribute to death?
1 � Yes 2 � No 3 � Probably 4 � Unknown
31. For infant under one year: Name and address of hospital or other place of birth
28. Race as defined by the U.S. Census (Check one or more toindicate what the decedent considered himself or herself to be)01 � White 02 � Black or African American03 � American Indian or Alaska Native
(Name of enrolled or principal tribe) 04 � Asian Indian 05 � Chinese06 � Filipino 07 � Japanese08 � Korean 09 � Vietnamese10 � Other Asian–Specify11 � Native Hawaiian 12 � Guamanian or Chamorro13 � Samoan14 � Other Pacific Islander–Specify15 � Other–Specify
27.Ancestry (Check one box and specify)� Hispanic (Mexican, Puerto
Rican, Cuban, Dominican, etc.)
Specify
� NOT Hispanic (Italian, AfricanAmerican, Pakistani, Ukrainian,Nigerian, Taiwanese, etc.)
Specify
29b. If pregnant within one year of death, outcome of pregnancy