Census Charts Index > Metropolitan Areas: Age & Sex

Metropolitan Area Census Data: Age & Sex

Age and sex distributions for 356 U.S. metropolitan areas are shown in this easy-to-read table and chart combination.

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Source: U.S. Census Bureau 2000 Census.

The metropolitan statistical areas (MSAs) are listed alphabetically, with some exceptions. Use this alphabetical index to jump down to the area you are interested in: B   C   D   EFG   HIJK   L   MNO   PR   S   TUVWY   Puerto Rico

Some large MSAs are arranged into two or more Primary MSAs (PMSAs) within a Consolidated MSA (CMSA). In this case the PMSAs are not in alphabetical order, but are grouped under the CMSA. To find a PMSA, check the larger CMSA that it is a part of. For example, the Akron, OH PMSA can be found under the Cleveland/Akron, OH CMSA, along with other MSAs beginning with 'C'. Or, use your browser's Find function (Edit -> Find, or Control-F) to search for these areas. See below for more information about MSAs, CMSAs, and PMSAs.


Metropolitan Area Census Data: Age & Sex
Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Abilene, TX126,55526.613.827.819.312.4

32.2

94.191.1Abilene, TX
Albany, GA120,82228.311.428.821.010.6

32.3

90.285.6Albany, GA
Albany/Schenectady/Troy, NY875,58323.99.529.123.314.3

37.3

94.190.8Albany/Schenectady/Troy, NY
Albuquerque, NM712,73826.39.830.322.311.3

34.9

95.993.3Albuquerque, NM
Alexandria, LA126,33727.29.527.922.413.1

35.5

91.788.0Alexandria, LA
Allentown/Bethlehem/Easton, PA637,95823.58.428.723.316.0

38.6

94.090.8Allentown/Bethlehem/Easton, PA
Altoona, PA129,14422.78.927.024.017.4

39.5

92.188.5Altoona, PA
Amarillo, TX217,85827.111.129.320.711.8

33.4

97.995.7Amarillo, TX
Anchorage, AK260,28329.19.633.921.95.5

32.4

102.4101.6Anchorage, AK
Anniston, AL112,24923.610.427.824.114.1

37.2

91.788.1Anniston, AL
Appleton/Oshkosh/Neenah, WI358,36526.110.031.221.111.6

35.0

99.597.6Appleton/Oshkosh/Neenah, WI
Asheville, NC225,96521.88.829.124.915.4

38.9

92.789.3Asheville, NC
Athens, GA153,44421.423.328.418.38.7

28.1

95.993.2Athens, GA
Atlanta, GA4,112,19826.69.535.520.87.6

32.9

97.594.8Atlanta, GA
Auburn/Opelika, AL115,09223.322.728.117.88.1

27.5

96.995.2Auburn/Opelika, AL
Augusta/Aiken, GA/SC477,44127.19.929.822.310.9

34.6

94.390.9Augusta/Aiken, GA/SC
Austin/San Marcos, TX1,249,76325.413.435.318.77.3

30.9

103.3102.3Austin/San Marcos, TX

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Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Bakersfield, CA661,64531.910.229.818.79.4

30.6

105.3105.3Bakersfield, CA
Bangor, ME90,86421.914.028.822.812.6

35.9

93.690.1Bangor, ME
Barnstable/Yarmouth, MA162,58220.64.924.625.924.0

45.0

89.184.9Barnstable/Yarmouth, MA
Baton Rouge, LA602,89427.212.829.720.89.4

31.9

93.689.4Baton Rouge, LA
Beaumont/Port Arthur, TX385,09026.59.628.921.813.2

35.6

99.597.5Beaumont/Port Arthur, TX
Bellingham, WA166,81424.114.227.522.511.6

34.0

97.195.0Bellingham, WA
Benton Harbor, MI162,45326.08.327.523.714.4

37.4

94.189.9Benton Harbor, MI
Billings, MT129,35225.59.328.723.213.3

36.9

95.291.6Billings, MT
Biloxi/Gulfport/Pascagoula, MS363,98826.510.030.022.311.1

34.7

98.796.7Biloxi/Gulfport/Pascagoula, MS
Binghamton, NY252,32023.810.227.223.015.7

38.1

94.190.7Binghamton, NY
Birmingham, AL921,10625.19.230.422.712.7

35.9

91.687.3Birmingham, AL
Bismarck, ND94,71925.310.229.022.513.0

36.3

96.594.3Bismarck, ND
Bloomington, IN120,56318.027.727.317.99.2

27.6

96.394.0Bloomington, IN
Bloomington/Normal, IL150,43323.518.629.219.09.7

30.5

93.690.4Bloomington/Normal, IL
Boise City, ID432,34528.410.431.220.39.7

32.1

100.098.1Boise City, ID
Boston/Worcester/Lawrence, MA/NH/ME/CT5,819,10024.09.032.322.212.6

36.1

93.890.5Boston/Worcester/Lawrence, MA/NH/ME/CT
Boston, MA/NH3,406,82922.59.332.922.213.1

36.3

92.889.6Boston, MA/NH
Brockton, MA255,45926.59.131.022.311.1

35.4

95.491.8Brockton, MA
Fitchburg/Leominster, MA142,28426.08.230.821.613.5

36.4

96.092.6Fitchburg/Leominster, MA
Lawrence, MA/NH396,23028.17.531.522.110.8

35.7

94.590.6Lawrence, MA/NH
Lowell, MA/NH301,68627.18.132.921.810.1

35.1

97.594.7Lowell, MA/NH
Manchester, NH198,37825.88.932.621.810.9

35.5

96.493.9Manchester, NH
Nashua, NH190,94927.36.833.423.19.3

35.9

98.596.0Nashua, NH
New Bedford, MA175,19823.79.428.122.716.1

37.7

92.088.1New Bedford, MA
Portsmouth/Rochester, NH/ME240,69823.49.631.023.312.7

37.2

94.191.2Portsmouth/Rochester, NH/ME
Worcester, MA/CT511,38925.38.831.021.713.3

36.2

94.791.1Worcester, MA/CT
Brownsville/Harlingen/San Benito, TX335,22733.810.526.817.811.1

29.0

91.986.3Brownsville/Harlingen/San Benito, TX
Bryan/College Station, TX152,41521.532.026.013.86.7

23.6

102.1100.3Bryan/College Station, TX
Buffalo/Niagara Falls, NY1,170,11124.38.728.422.815.8

38.0

92.088.1Buffalo/Niagara Falls, NY
Burlington, VT169,39124.012.431.921.99.9

34.5

95.492.4Burlington, VT

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Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Canton/Massillon, OH406,93424.98.227.824.115.0

38.3

92.888.9Canton/Massillon, OH
Casper, WY66,53326.010.127.923.312.7

36.4

97.795.0Casper, WY
Cedar Rapids, IA191,70125.310.130.322.112.2

35.2

96.193.4Cedar Rapids, IA
Champaign/Urbana, IL179,66921.023.128.218.09.7

28.6

101.199.7Champaign/Urbana, IL
Charleston/North Charleston, SC549,03325.711.230.821.910.4

33.9

96.493.5Charleston/North Charleston, SC
Charleston, WV251,66222.18.228.625.615.5

39.6

91.988.3Charleston, WV
Charlotte/Gastonia/Rock Hill, NC/SC1,499,29325.49.133.721.610.2

34.3

96.393.4Charlotte/Gastonia/Rock Hill, NC/SC
Charlottesville, VA159,57622.214.629.821.711.8

34.3

90.787.1Charlottesville, VA
Chattanooga, TN/GA465,16123.89.329.124.313.5

37.2

92.789.0Chattanooga, TN/GA
Cheyenne, WY81,60725.89.630.522.711.5

35.3

100.9100.0Cheyenne, WY
Chicago/Gary/Kenosha, IL/IN/WI9,157,54026.99.531.621.110.9

33.9

95.792.5Chicago/Gary/Kenosha, IL/IN/WI
Chicago, IL8,272,76826.99.531.921.010.7

33.7

95.892.6Chicago, IL
Gary, IN631,36226.59.428.423.112.5

36.0

93.790.1Gary, IN
Kankakee, IL103,83327.19.728.222.013.1

35.2

95.691.9Kankakee, IL
Kenosha, WI149,57727.19.431.320.711.5

34.8

98.395.3Kenosha, WI
Chico/Paradise, CA203,17124.013.624.821.815.8

35.8

96.192.6Chico/Paradise, CA
Cincinnati/Hamilton, OH/KY/IN1,979,20226.59.530.621.711.7

35.0

94.490.9Cincinnati/Hamilton, OH/KY/IN
Cincinnati, OH/KY/IN1,646,39526.69.030.821.711.9

35.1

94.290.6Cincinnati, OH/KY/IN
Hamilton/Middletown, OH332,80725.911.929.821.710.7

34.2

95.392.2Hamilton/Middletown, OH
Clarksville/Hopkinsville, TN/KY207,03328.413.532.816.88.5

29.3

103.0101.8Clarksville/Hopkinsville, TN/KY
Cleveland/Akron, OH2,945,83125.38.229.323.014.3

37.2

92.388.5Cleveland/Akron, OH
Akron, OH694,96024.89.529.422.913.4

36.6

93.590.0Akron, OH
Cleveland/Lorain/Elyria, OH2,250,87125.47.829.323.014.5

37.3

91.988.1Cleveland/Lorain/Elyria, OH
Colorado Springs, CO516,92927.610.532.520.78.7

33.0

100.998.8Colorado Springs, CO
Columbia, MO135,45422.819.929.918.88.6

29.5

93.590.9Columbia, MO
Columbia, SC536,69125.011.631.621.910.0

33.9

93.890.4Columbia, SC
Columbus, GA/AL274,62426.811.829.920.111.5

32.7

97.394.8Columbus, GA/AL
Columbus, OH1,540,15725.510.732.621.210.0

33.6

96.593.8Columbus, OH
Corpus Christi, TX380,78328.910.428.820.911.0

33.0

96.693.5Corpus Christi, TX
Corvallis, OR78,15321.320.226.721.410.3

31.1

99.197.8Corvallis, OR
Cumberland, MD/WV102,00821.310.526.924.117.2

39.1

98.395.9Cumberland, MD/WV

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Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Dallas/Fort Worth, TX5,221,80128.010.034.019.98.1

32.1

99.196.9Dallas/Fort Worth, TX
Dallas, TX3,519,17628.010.134.619.67.7

31.8

99.597.4Dallas, TX
Fort Worth/Arlington, TX1,702,62528.09.732.820.78.8

32.8

98.496.0Fort Worth/Arlington, TX
Danville, VA110,15623.27.627.325.316.7

40.0

90.085.8Danville, VA
Davenport/Moline/Rock Island, IA/IL359,06225.29.328.123.613.8

36.9

95.392.1Davenport/Moline/Rock Island, IA/IL
Dayton/Springfield, OH950,55824.810.028.323.413.5

36.6

93.189.4Dayton/Springfield, OH
Daytona Beach, FL493,17520.07.824.824.622.7

43.1

94.291.6Daytona Beach, FL
Decatur, AL145,86725.48.430.123.812.3

36.4

96.293.2Decatur, AL
Decatur, IL114,70624.69.826.424.015.2

38.0

91.287.5Decatur, IL
Denver/Boulder/Greeley, CO2,581,50625.79.833.821.88.9

33.8

100.498.7Denver/Boulder/Greeley, CO
Boulder/Longmont, CO291,28822.913.433.622.37.8

33.4

102.2101.7Boulder/Longmont, CO
Denver, CO2,109,28225.89.034.221.99.0

34.1

100.198.3Denver, CO
Greeley, CO180,93628.213.229.720.09.0

30.9

100.698.0Greeley, CO
Des Moines, IA456,02226.09.231.821.711.2

34.6

94.691.0Des Moines, IA
Detroit/Ann Arbor/Flint, MI5,456,42826.48.731.022.311.7

35.3

94.991.5Detroit/Ann Arbor/Flint, MI
Ann Arbor, MI578,73624.512.931.422.29.0

33.5

100.097.9Ann Arbor, MI
Detroit, MI4,441,55126.58.131.122.212.1

35.5

94.590.9Detroit, MI
Flint, MI436,14127.48.929.722.411.6

35.0

92.688.5Flint, MI
Dothan, AL137,91626.18.729.322.913.0

35.9

93.289.2Dothan, AL
Dover, DE126,69727.310.129.821.211.7

34.4

93.189.6Dover, DE
Dubuque, IA89,14325.610.227.222.314.7

36.5

94.491.3Dubuque, IA
Duluth/Superior, MN/WI243,81522.611.226.324.115.8

38.8

96.993.9Duluth/Superior, MN/WI

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Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Eau Claire, WI148,33724.613.627.321.413.1

34.7

95.892.5Eau Claire, WI
El Paso, TX679,62232.010.629.318.49.7

30.0

93.288.7El Paso, TX
Elkhart/Goshen, IN182,79128.99.529.820.910.9

33.0

98.896.1Elkhart/Goshen, IN
Elmira, NY91,07024.48.828.322.915.6

37.9

97.795.3Elmira, NY
Enid, OK57,81325.09.127.322.516.0

37.7

93.790.4Enid, OK
Erie, PA280,84325.010.827.722.214.3

36.2

95.291.7Erie, PA
Eugene/Springfield, OR322,95922.912.027.524.413.3

36.6

96.994.7Eugene/Springfield, OR
Evansville/Henderson, IN/KY296,19524.49.928.723.013.9

37.1

92.689.1Evansville/Henderson, IN/KY
Fargo/Moorhead, ND/MN174,36723.916.329.719.510.6

31.5

98.396.4Fargo/Moorhead, ND/MN
Fayetteville, NC302,96327.913.732.917.87.7

29.6

102.3101.9Fayetteville, NC
Fayetteville/Springdale/Rogers, AR311,12125.812.029.820.312.1

33.0

98.996.8Fayetteville/Springdale/Rogers, AR
Flagstaff, AZ/UT122,36628.814.128.820.97.5

29.9

99.697.0Flagstaff, AZ/UT
Florence, AL142,95023.39.327.824.315.2

38.0

91.788.1Florence, AL
Florence, SC125,76125.99.728.923.611.8

35.5

88.784.2Florence, SC
Fort Collins/Loveland, CO251,49423.814.230.721.89.6

33.2

99.998.2Fort Collins/Loveland, CO
Fort Myers/Cape Coral, FL440,88819.66.224.024.825.4

45.2

95.693.1Fort Myers/Cape Coral, FL
Fort Pierce/Port St. Lucie, FL319,42621.06.124.223.724.9

44.0

95.893.4Fort Pierce/Port St. Lucie, FL
Fort Smith, AR/OK207,29026.98.829.022.812.6

35.6

96.392.7Fort Smith, AR/OK
Fort Walton Beach, FL170,49824.79.631.122.412.1

36.1

102.2101.5Fort Walton Beach, FL
Fort Wayne, IN502,14127.89.229.521.612.0

34.6

96.493.3Fort Wayne, IN
Fresno, CA922,51631.710.928.618.710.1

30.2

99.296.5Fresno, CA
Gadsden, AL103,45923.88.727.424.116.0

38.3

91.887.9Gadsden, AL
Gainesville, FL217,95520.223.227.719.39.6

29.0

95.493.2Gainesville, FL
Glens Falls, NY124,34524.37.928.824.414.6

38.3

99.597.4Glens Falls, NY
Goldsboro, NC113,32926.29.930.521.911.6

34.8

97.394.3Goldsboro, NC
Grand Forks, ND/MN97,47824.516.427.519.512.1

31.9

101.9100.1Grand Forks, ND/MN
Grand Junction, CO116,25525.09.426.723.715.2

38.1

96.093.2Grand Junction, CO
Grand Rapids/Muskegon/Holland, MI1,088,51428.310.330.320.310.8

33.2

97.494.4Grand Rapids/Muskegon/Holland, MI
Great Falls, MT80,35726.09.128.122.814.0

36.7

97.995.7Great Falls, MT
Green Bay, WI226,77826.110.531.920.910.7

34.2

98.996.9Green Bay, WI
Greensboro/Winston-Salem/High Point, NC1,251,50924.09.531.122.912.5

36.0

93.490.1Greensboro/Winston-Salem/High Point, NC
Greenville, NC133,79823.617.529.919.49.6

30.4

90.286.4Greenville, NC
Greenville/Spartanburg/Anderson, SC962,44124.510.230.023.112.3

35.7

95.092.0Greenville/Spartanburg/Anderson, SC

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Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Harrisburg/Lebanon/Carlisle, PA629,40123.58.729.124.014.7

38.1

94.291.2Harrisburg/Lebanon/Carlisle, PA
Hartford, CT1,183,11024.48.630.223.213.7

37.3

94.190.9Hartford, CT
Hattiesburg, MS111,67425.715.628.619.310.8

30.8

90.786.9Hattiesburg, MS
Hickory/Morganton/Lenoir, NC341,85124.08.530.624.112.8

36.7

98.395.9Hickory/Morganton/Lenoir, NC
Honolulu, HI876,15623.810.130.622.013.4

35.7

101.199.7Honolulu, HI
Houma, LA194,47728.310.329.721.210.5

33.5

95.992.8Houma, LA
Houston/Galveston/Brazoria, TX4,669,57129.09.832.820.67.7

31.9

99.397.1Houston/Galveston/Brazoria, TX
Brazoria, TX241,76728.68.632.421.58.8

34.0

106.8107.4Brazoria, TX
Galveston/Texas City, TX250,15826.78.730.223.311.1

35.9

95.993.1Galveston/Texas City, TX
Houston, TX4,177,64629.210.033.020.47.4

31.6

99.196.8Houston, TX
Huntington/Ashland, WV/KY/OH315,53822.410.227.724.615.0

38.1

93.490.1Huntington/Ashland, WV/KY/OH
Huntsville, AL342,37625.49.331.622.810.9

35.7

96.793.9Huntsville, AL
Indianapolis, IN1,607,48626.68.832.221.510.9

34.6

95.492.1Indianapolis, IN
Iowa City, IA111,00620.123.430.818.27.4

28.4

99.197.3Iowa City, IA
Jackson, MI158,42225.68.130.423.012.9

36.6

104.2103.7Jackson, MI
Jackson, MS440,80127.510.830.420.910.4

33.0

90.886.3Jackson, MS
Jackson, TN107,37725.611.528.721.712.5

34.6

92.587.6Jackson, TN
Jacksonville, FL1,100,49126.19.031.422.411.1

35.3

94.791.6Jacksonville, FL
Jacksonville, NC150,35526.223.829.214.46.3

25.0

123.2131.3Jacksonville, NC
Jamestown, NY139,75024.510.326.323.016.0

37.9

95.292.2Jamestown, NY
Janesville/Beloit, WI152,30726.58.629.822.312.7

35.9

97.094.1Janesville/Beloit, WI
Johnson City/Kingsport/Bristol, TN/VA480,09121.58.628.825.715.3

39.2

93.790.6Johnson City/Kingsport/Bristol, TN/VA
Johnstown, PA232,62121.58.526.724.219.1

40.9

96.193.8Johnstown, PA
Jonesboro, AR82,14824.114.028.721.411.8

33.0

93.890.5Jonesboro, AR
Joplin, MO157,32225.910.327.822.213.9

35.6

94.690.9Joplin, MO
Kalamazoo/Battle Creek, MI452,85125.312.128.222.212.2

34.7

94.791.2Kalamazoo/Battle Creek, MI
Kansas City, MO/KS1,776,06226.68.631.522.011.4

35.2

95.391.9Kansas City, MO/KS
Killeen/Temple, TX312,95228.314.533.016.28.0

28.8

101.9101.0Killeen/Temple, TX
Knoxville, TN687,24922.610.029.724.313.4

37.3

93.890.4Knoxville, TN
Kokomo, IN101,54125.58.128.224.613.5

37.3

94.090.3Kokomo, IN

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
La Crosse, WI/MN126,83824.114.227.421.213.1

34.4

94.691.3La Crosse, WI/MN
Lafayette, LA385,64728.510.629.420.710.9

33.2

93.990.2Lafayette, LA
Lafayette, IN182,82122.122.427.318.110.1

28.5

103.8103.0Lafayette, IN
Lake Charles, LA183,57727.410.328.721.811.9

34.5

94.891.3Lake Charles, LA
Lakeland/Winter Haven, FL483,92424.48.326.422.518.3

38.6

96.393.1Lakeland/Winter Haven, FL
Lancaster, PA470,65826.69.228.321.914.0

36.1

95.191.6Lancaster, PA
Lansing/East Lansing, MI447,72824.714.728.821.810.1

32.7

94.491.1Lansing/East Lansing, MI
Laredo, TX193,11736.211.429.315.67.6

26.5

92.987.9Laredo, TX
Las Cruces, NM174,68229.713.327.119.310.6

30.2

96.593.5Las Cruces, NM
Las Vegas, NV/AZ1,563,28225.38.831.222.911.8

35.2

103.1102.2Las Vegas, NV/AZ
Lawrence, KS99,96220.426.428.316.97.9

26.6

98.797.7Lawrence, KS
Lawton, OK114,99627.813.930.717.89.8

30.1

107.7108.8Lawton, OK
Lewiston/Auburn, ME90,83023.59.529.422.714.9

37.3

93.590.3Lewiston/Auburn, ME
Lexington, KY479,19822.713.831.921.410.2

33.3

95.592.7Lexington, KY
Lima, OH155,08426.49.327.822.314.2

36.4

98.996.5Lima, OH
Lincoln, NE250,29123.515.430.420.310.4

32.0

99.898.5Lincoln, NE
Little Rock/North Little Rock, AR583,84525.610.030.822.311.2

34.7

93.890.2Little Rock/North Little Rock, AR
Longview/Marshall, TX208,78026.89.827.622.413.4

35.8

94.290.3Longview/Marshall, TX
Los Angeles/Riverside/Orange County, CA16,373,64528.510.032.019.69.9

32.3

98.395.8Los Angeles/Riverside/Orange County, CA
Los Angeles/Long Beach, CA9,519,33828.010.332.619.49.7

32.0

97.795.0Los Angeles/Long Beach, CA
Orange County, CA2,846,28927.09.433.220.69.9

33.3

99.096.7Orange County, CA
Riverside/San Bernardino, CA3,254,82131.49.829.618.810.5

31.6

99.497.0Riverside/San Bernardino, CA
Ventura, CA753,19728.49.030.721.710.2

34.2

99.797.5Ventura, CA
Louisville, KY/IN1,025,59824.88.830.723.212.6

36.5

93.790.3Louisville, KY/IN
Lubbock, TX242,62825.716.327.919.211.0

30.5

95.892.6Lubbock, TX
Lynchburg, VA214,91123.39.828.024.514.5

38.0

92.288.4Lynchburg, VA

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Macon, GA322,54927.110.029.921.811.1

34.4

90.686.3Macon, GA
Madison, WI426,52622.614.332.521.39.3

33.2

97.996.0Madison, WI
Mansfield, OH175,81824.98.328.324.114.4

37.8

99.197.0Mansfield, OH
McAllen/Edinburg/Mission, TX569,46335.311.327.616.09.7

27.2

94.489.9McAllen/Edinburg/Mission, TX
Medford/Ashland, OR181,26924.48.725.525.416.0

39.2

94.691.7Medford/Ashland, OR
Melbourne/Titusville/Palm Bay, FL476,23022.06.827.124.319.9

41.4

95.993.3Melbourne/Titusville/Palm Bay, FL
Memphis, TN/AR/MS1,135,61428.39.531.021.210.0

33.2

92.487.9Memphis, TN/AR/MS
Merced, CA210,55434.510.327.917.89.5

29.0

99.396.6Merced, CA
Miami/Fort Lauderdale, FL3,876,38024.38.331.221.714.5

36.5

93.490.0Miami/Fort Lauderdale, FL
Fort Lauderdale, FL1,623,01823.67.231.421.716.1

37.8

93.389.8Fort Lauderdale, FL
Miami, FL2,253,36224.89.131.021.713.3

35.6

93.590.2Miami, FL
Milwaukee/Racine, WI1,689,57226.59.030.121.912.5

35.5

94.591.1Milwaukee/Racine, WI
Milwaukee/Waukesha, WI1,500,74126.49.130.121.812.6

35.4

94.090.6Milwaukee/Waukesha, WI
Racine, WI188,83127.08.329.922.512.3

36.1

98.095.5Racine, WI
Minneapolis/St. Paul, MN/WI2,968,80626.79.233.221.39.6

34.2

97.695.0Minneapolis/St. Paul, MN/WI
Missoula, MT95,80222.915.429.222.610.0

33.2

99.998.0Missoula, MT
Mobile, AL540,25826.79.328.422.712.9

35.7

92.788.7Mobile, AL
Modesto, CA446,99731.19.829.019.510.4

31.7

96.893.4Modesto, CA
Monroe, LA147,25027.912.027.920.311.8

32.3

89.384.5Monroe, LA
Montgomery, AL333,05526.110.730.421.511.4

34.2

93.589.9Montgomery, AL
Muncie, IN118,76922.116.925.621.913.5

33.8

92.289.2Muncie, IN
Myrtle Beach, SC196,62921.39.429.325.015.0

38.3

96.494.1Myrtle Beach, SC
Naples, FL251,37719.96.624.624.524.5

44.1

100.399.2Naples, FL
Nashville, TN1,231,31124.810.232.922.010.0

34.5

95.992.9Nashville, TN
New London/Norwich, CT/RI293,56624.18.530.723.013.7

37.3

97.395.4New London/Norwich, CT/RI
New Orleans, LA1,337,72626.89.729.822.411.4

34.8

91.787.6New Orleans, LA
New York/Northern New Jersey/Long Island, NY/NJ/CT/PA21,199,86524.88.731.622.412.7

35.9

92.688.8New York/Northern New Jersey/Long Island, NY/NJ/CT/PA
Bergen/Passaic, NJ1,373,16724.17.630.923.414.1

37.6

93.289.9Bergen/Passaic, NJ
Bridgeport, CT459,47925.48.030.022.314.3

37.0

92.288.2Bridgeport, CT
Danbury, CT217,98026.16.632.024.910.4

37.3

97.194.6Danbury, CT
Dutchess County, NY280,15025.19.430.223.212.0

36.7

100.198.2Dutchess County, NY
Jersey City, NJ608,97522.610.435.620.011.4

33.6

96.594.2Jersey City, NJ
Middlesex/Somerset/Hunterdon, NJ1,169,64124.48.232.922.711.8

36.4

96.393.3Middlesex/Somerset/Hunterdon, NJ
Monmouth/Ocean, NJ1,126,21724.86.828.423.116.9

39.1

92.688.8Monmouth/Ocean, NJ
Nassau/Suffolk, NY2,753,91325.47.530.123.713.4

37.5

94.490.9Nassau/Suffolk, NY
New Haven/Meriden, CT542,14924.29.429.622.614.1

36.8

92.789.0New Haven/Meriden, CT
New York, NY9,314,23524.49.632.521.511.9

34.6

90.486.3New York, NY
Newark, NJ2,032,98925.67.931.422.912.2

36.3

93.189.3Newark, NJ
Newburgh, NY/PA387,66928.88.329.822.310.9

35.3

100.297.5Newburgh, NY/PA
Stamford/Norwalk, CT353,55625.05.631.824.013.7

38.1

93.389.2Stamford/Norwalk, CT
Trenton, NJ350,76124.010.230.622.512.6

36.0

94.992.0Trenton, NJ
Waterbury, CT228,98425.87.229.722.315.0

37.4

91.788.0Waterbury, CT
Norfolk/Virginia Beach/Newport News, VA/NC1,569,54126.411.231.720.410.3

33.6

97.194.7Norfolk/Virginia Beach/Newport News, VA/NC
Ocala, FL258,91621.46.423.823.924.5

43.8

93.389.9Ocala, FL
Odessa/Midland, TX237,13230.39.728.220.611.3

33.0

94.190.2Odessa/Midland, TX
Oklahoma City, OK1,083,34625.611.429.821.811.4

34.1

96.093.1Oklahoma City, OK
Omaha, NE/IA716,99827.29.831.121.210.6

33.7

96.493.5Omaha, NE/IA
Orlando, FL1,644,56124.89.531.821.512.4

35.3

96.994.3Orlando, FL
Owensboro, KY91,54525.89.028.423.013.8

36.8

92.688.3Owensboro, KY

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Panama City, FL148,21724.08.730.223.713.4

37.4

98.195.8Panama City, FL
Parkersburg/Marietta, WV/OH151,23723.28.327.825.415.3

39.2

93.390.0Parkersburg/Marietta, WV/OH
Pensacola, FL412,15324.410.829.622.612.7

35.9

99.297.3Pensacola, FL
Peoria/Pekin, IL347,38725.09.427.823.314.5

37.0

94.491.0Peoria/Pekin, IL
Philadelphia/Wilmington/Atlantic City, PA/NJ/DE/MD6,188,46325.38.830.122.313.5

36.4

92.788.9Philadelphia/Wilmington/Atlantic City, PA/NJ/DE/MD
Atlantic/Cape May, NJ354,87824.47.629.123.315.5

38.4

93.389.8Atlantic/Cape May, NJ
Philadelphia, PA/NJ5,100,93125.48.830.022.313.6

36.4

92.188.1Philadelphia, PA/NJ
Vineland/Millville/Bridgeton, NJ146,43825.48.531.221.913.0

35.6

104.2103.5Vineland/Millville/Bridgeton, NJ
Wilmington/Newark, DE/MD586,21625.39.931.421.911.4

35.1

95.091.5Wilmington/Newark, DE/MD
Phoenix/Mesa, AZ3,251,87626.810.131.219.911.9

33.2

100.899.1Phoenix/Mesa, AZ
Pine Bluff, AR84,27826.310.827.822.112.9

35.1

95.993.4Pine Bluff, AR
Pittsburgh, PA2,358,69522.38.128.023.917.7

40.0

91.387.6Pittsburgh, PA
Pittsfield, MA84,69922.96.627.524.618.4

40.6

91.387.2Pittsfield, MA
Pocatello, ID75,56528.114.627.220.010.1

29.8

97.794.4Pocatello, ID
Portland, ME243,53723.38.032.123.712.9

37.5

93.890.2Portland, ME
Portland/Salem, OR/WA2,265,22325.79.531.522.610.7

34.7

98.796.5Portland/Salem, OR/WA
Portland/Vancouver, OR/WA1,918,00925.59.332.122.810.3

34.8

98.596.3Portland/Vancouver, OR/WA
Salem, OR347,21427.010.528.021.612.8

34.2

99.897.6Salem, OR
Providence/Fall River/Warwick, RI/MA1,188,61323.89.829.722.014.6

36.8

92.288.4Providence/Fall River/Warwick, RI/MA
Provo/Orem, UT368,53634.121.025.912.76.4

23.3

98.394.5Provo/Orem, UT
Pueblo, CO141,47225.89.427.222.415.2

36.7

95.892.5Pueblo, CO
Punta Gorda, FL141,62715.74.518.826.434.7

54.3

91.489.4Punta Gorda, FL
Raleigh/Durham/Chapel Hill, NC1,187,94124.211.634.920.78.6

33.0

96.593.9Raleigh/Durham/Chapel Hill, NC
Rapid City, SD88,56526.610.529.221.911.8

35.0

98.395.7Rapid City, SD
Reading, PA373,63824.68.828.922.615.0

37.4

95.992.7Reading, PA
Redding, CA163,25626.18.225.325.215.2

38.9

95.191.2Redding, CA
Reno, NV339,48624.99.831.023.810.5

35.6

102.8101.8Reno, NV
Richland/Kennewick/Pasco, WA191,82231.09.228.421.69.8

32.7

101.399.2Richland/Kennewick/Pasco, WA
Richmond/Petersburg, VA996,51225.28.931.623.111.2

35.8

92.588.7Richmond/Petersburg, VA
Roanoke, VA235,93222.67.728.825.115.8

39.4

90.386.5Roanoke, VA
Rochester, MN124,27727.08.532.221.610.8

35.0

96.693.6Rochester, MN
Rochester, NY1,098,20125.79.329.422.812.9

36.3

94.591.2Rochester, NY
Rockford, IL371,23626.98.129.722.612.6

35.9

96.693.6Rockford, IL
Rocky Mount, NC143,02626.18.529.423.512.5

36.4

90.485.8Rocky Mount, NC

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Sacramento/Yolo, CA1,796,85727.19.730.221.711.3

34.6

96.293.1Sacramento/Yolo, CA
Sacramento, CA1,628,19727.38.830.422.011.5

35.1

96.393.2Sacramento, CA
Yolo, CA168,66025.218.328.218.99.4

29.5

95.692.2Yolo, CA
Saginaw/Bay City/Midland, MI403,07026.18.828.123.513.5

36.9

93.890.1Saginaw/Bay City/Midland, MI
St. Cloud, MN167,39226.015.328.719.011.0

31.6

100.999.0St. Cloud, MN
St. Joseph, MO102,49024.710.528.421.614.9

36.4

96.493.8St. Joseph, MO
St. Louis, MO/IL2,603,60726.38.829.922.112.9

36.0

92.588.6St. Louis, MO/IL
Salinas, CA401,76228.410.931.419.310.0

31.7

107.3107.7Salinas, CA
Salt Lake City/Ogden, UT1,333,91431.412.729.817.98.3

28.6

101.499.3Salt Lake City/Ogden, UT
San Angelo, TX104,01026.112.827.120.613.4

33.8

93.789.9San Angelo, TX
San Antonio, TX1,592,38328.310.330.320.410.7

32.7

95.091.6San Antonio, TX
San Diego, CA2,813,83325.711.332.019.811.2

33.2

101.299.7San Diego, CA
San Francisco/Oakland/San Jose, CA7,039,36223.68.933.722.711.1

35.6

99.397.4San Francisco/Oakland/San Jose, CA
Oakland, CA2,392,55725.38.832.622.610.7

35.3

96.193.3Oakland, CA
San Francisco, CA1,731,18318.88.136.123.813.1

37.3

100.399.2San Francisco, CA
San Jose, CA1,682,58524.79.335.421.09.5

34.0

102.8101.9San Jose, CA
Santa Cruz/Watsonville, CA255,60223.811.930.823.510.0

35.0

99.797.8Santa Cruz/Watsonville, CA
Santa Rosa, CA458,61424.58.829.224.912.6

37.5

97.094.0Santa Rosa, CA
Vallejo/Fairfield/Napa, CA518,82127.39.030.422.310.9

34.9

101.099.5Vallejo/Fairfield/Napa, CA
San Luis Obispo/Atascadero/Paso Robles, CA246,68121.713.627.023.314.5

37.3

105.6105.2San Luis Obispo/Atascadero/Paso Robles, CA
Santa Barbara/Santa Maria/Lompoc, CA399,34724.913.329.020.112.7

33.4

100.198.1Santa Barbara/Santa Maria/Lompoc, CA
Santa Fe, NM147,63524.37.729.527.710.9

38.3

96.494.1Santa Fe, NM
Sarasota/Bradenton, FL589,95918.25.723.024.628.5

47.3

91.688.6Sarasota/Bradenton, FL
Savannah, GA293,00026.110.630.021.511.8

34.2

94.190.5Savannah, GA
Scranton/Wilkes-Barre/Hazleton, PA624,77621.49.026.923.818.9

40.2

91.788.2Scranton/Wilkes-Barre/Hazleton, PA
Seattle/Tacoma/Bremerton, WA3,554,76024.89.233.022.710.3

35.3

99.397.3Seattle/Tacoma/Bremerton, WA
Bremerton, WA231,96926.89.229.623.810.6

35.8

102.7101.2Bremerton, WA
Olympia, WA207,35525.39.329.324.611.4

36.5

96.092.7Olympia, WA
Seattle/Bellevue/Everett, WA2,414,61623.89.034.122.810.2

35.5

99.497.5Seattle/Bellevue/Everett, WA
Tacoma, WA700,82027.29.831.321.510.2

34.1

98.996.7Tacoma, WA
Sharon, PA120,29323.48.926.123.518.1

39.6

94.790.8Sharon, PA
Sheboygan, WI112,64625.58.429.822.314.0

36.8

100.699.9Sheboygan, WI
Sherman/Denison, TX110,59525.39.327.622.815.1

37.2

94.090.6Sherman/Denison, TX
Shreveport/Bossier City, LA392,30227.09.928.122.013.1

35.1

91.587.1Shreveport/Bossier City, LA
Sioux City, IA/NE124,13027.810.228.520.712.8

33.7

96.793.5Sioux City, IA/NE
Sioux Falls, SD172,41226.710.432.020.010.9

33.6

98.395.7Sioux Falls, SD
South Bend, IN265,55925.711.828.020.913.6

34.4

93.289.8South Bend, IN
Spokane, WA417,93925.710.628.922.412.4

35.4

96.493.6Spokane, WA
Springfield, IL201,43725.18.029.723.813.5

37.4

91.787.5Springfield, IL
Springfield, MO325,72123.812.329.221.812.9

34.9

95.192.0Springfield, MO
Springfield, MA591,93224.412.028.021.714.0

35.8

90.586.4Springfield, MA
State College, PA135,75818.026.826.418.410.4

28.7

104.3104.4State College, PA
Steubenville/Weirton, OH/WV132,00821.18.426.026.018.5

41.5

91.688.4Steubenville/Weirton, OH/WV
Stockton/Lodi, CA563,59831.010.028.819.610.6

31.9

99.997.2Stockton/Lodi, CA
Sumter, SC104,64628.110.529.420.711.2

33.4

93.990.2Sumter, SC
Syracuse, NY732,11725.89.828.822.213.3

36.1

94.290.9Syracuse, NY

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Tallahassee, FL284,53922.119.528.920.58.9

30.3

91.087.6Tallahassee, FL
Tampa/St. Petersburg/Clearwater, FL2,395,99721.97.528.323.119.2

40.0

93.189.9Tampa/St. Petersburg/Clearwater, FL
Terre Haute, IN149,19223.612.627.421.914.6

35.8

96.093.3Terre Haute, IN
Texarkana, TX/Texarkana, AR129,74925.49.529.322.313.6

35.8

99.697.5Texarkana, TX/Texarkana, AR
Toledo, OH618,20325.911.128.621.712.6

34.7

93.089.4Toledo, OH
Topeka, KS169,87125.38.828.423.713.7

37.1

93.890.0Topeka, KS
Tucson, AZ843,74624.610.928.421.914.2

35.7

95.792.7Tucson, AZ
Tulsa, OK803,23526.79.329.722.511.8

35.1

95.292.1Tulsa, OK
Tuscaloosa, AL164,87523.416.528.120.811.3

31.9

92.889.5Tuscaloosa, AL
Tyler, TX174,70626.69.827.422.114.1

35.5

92.187.9Tyler, TX
Utica/Rome, NY299,89624.08.527.823.116.5

38.4

97.695.3Utica/Rome, NY
Victoria, TX84,08829.19.228.121.512.0

34.2

94.991.7Victoria, TX
Visalia/Tulare/Porterville, CA368,02133.810.627.618.29.8

29.2

100.097.7Visalia/Tulare/Porterville, CA
Waco, TX213,51726.614.626.419.512.9

31.9

94.190.2Waco, TX
Washington/Baltimore, DC/MD/VA/WV7,608,07025.38.732.923.010.1

35.4

94.391.1Washington/Baltimore, DC/MD/VA/WV
Baltimore, MD2,552,99425.38.631.023.112.0

36.3

92.789.0Baltimore, MD
Hagerstown, MD131,92323.48.131.323.014.2

37.4

104.5104.0Hagerstown, MD
Washington, DC/MD/VA/WV4,923,15325.38.733.923.09.1

34.9

94.991.8Washington, DC/MD/VA/WV
Waterloo/Cedar Falls, IA128,01223.115.725.222.014.0

34.4

92.388.8Waterloo/Cedar Falls, IA
Wausau, WI125,83426.88.229.522.513.0

36.3

99.597.4Wausau, WI
West Palm Beach/Boca Raton, FL1,131,18421.36.627.022.023.2

41.8

93.590.5West Palm Beach/Boca Raton, FL
Wheeling, WV/OH153,17221.98.526.625.117.9

40.7

93.390.1Wheeling, WV/OH
Wichita, KS545,22028.19.429.920.811.8

34.1

97.995.3Wichita, KS
Wichita Falls, TX140,51825.313.228.919.812.8

33.6

103.6103.0Wichita Falls, TX
Williamsport, PA120,04423.39.727.523.416.0

38.4

95.692.8Williamsport, PA
Wilmington, NC233,45021.010.429.025.514.1

38.0

94.492.0Wilmington, NC
Yakima, WA222,58131.89.827.519.711.2

31.2

99.697.1Yakima, WA
York, PA381,75124.67.530.324.013.5

37.8

96.793.8York, PA
Youngstown/Warren, OH594,74624.18.027.224.216.5

39.2

93.790.6Youngstown/Warren, OH
Yuba City, CA139,14929.99.828.120.611.6

32.9

99.596.4Yuba City, CA
Yuma, AZ160,02628.910.025.618.916.5

33.9

102.0101.1Yuma, AZ

Top    Reading the Chart

Metropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
PopulationAge %Median
Age
Males per 100 FemalesMetropolitan Statistical Area (MSA),
Consolidated MSA,
or Primary MSA
under 1818-2425-4445-6465 & overAll Ages18 & Over
United States

281,421,906

25.79.630.222.012.4

35.3

96.393.4United States
In metropolitan area

225,981,679

25.89.730.921.711.9

34.9

95.892.8In metropolitan area
Puerto Rico*3,808,61028.711.327.621.311.2

32.1

92.888.4Puerto Rico*
Aguadilla, PR146,42428.911.628.421.110.0

31.7

96.293.4Aguadilla, PR
Mayagüez, PR253,34725.612.625.623.113.0

33.9

92.388.6Mayagüez, PR
Ponce, PR361,09430.711.926.620.310.6

30.2

95.190.7Ponce, PR
San Juan/Caguas/Arecibo, PR2,450,29228.211.128.121.411.2

32.5

91.686.9San Juan/Caguas/Arecibo, PR
Arecibo, PR174,30027.710.827.722.011.7

33.0

94.490.7Arecibo, PR
Caguas, PR308,36528.810.928.321.410.6

32.3

93.188.8Caguas, PR
San Juan/Bayamón, PR1,967,62728.111.128.121.411.3

32.5

91.186.3San Juan/Bayamón, PR

Reading the Chart:

The chart show statistics for 356 Metropolitan Statistical Areas (MSAs) as defined by the Census Bureau. See below for definitions. Note that MSAs cover larger areas than city limits. Some of the larger MSAs are arranged as two or more Primary MSAs included in a Consolidated MSA. Note that in the population column, the numbers in the PMSA table cells add up the to the total in the corresponding CMSA table cell.

*Puerto Rico is not an MSA but is included here to provide contest for the MSAs it contains.

The entries under the Age % heading are percentages showing the age distribution. For example, the entry in the first row (United States) in the under 18 column is 25.7, meaning that 25.7% of the U.S. population is under 18 years of age. The Age% values add up to approximately 100%.

The length of the colored bars in each Age % table cell are in proportion to the value of the number in the cell. For example, the colored bar in the cell showing 25.7 is 25.7% as wide as the cell.

The length of the colored bars under the Males per 100 Females header are proportional to the value when converted to percentages. For example, 110 males per 100 females = 110 males per 210 people = 52.4%.

The numeric values under the Population header are totals. Here the colored bars represent percentages of the highest population of any metropolitan area. For example, the MSA with the highest population (namely New York) has a colored bar that fills the cell. An MSA with half that many people will have a colored bar that fills half the cell. For small percentages the bar does not appear.

Please note that if you set your browser to display very large text sizes, the table cell sizes will change, and the lengths of the colored bars will not be accurate, although they will still show proportions.

Census Department definitions:

The general concept of a metropolitan area (MA) is one of a large population nucleus, together with adjacent communities that have a high degree of economic and social integration with that nucleus. Some MAs are defined around two or more nuclei.
Metropolitan statistical areas (MSAs) are metropolitan areas (MAs) that are not closely associated with other MAs. These areas typically are surrounded by nonmetropolitan counties (county subdivisions in New England).
If an area that qualifies as a metropolitan area (MA) has 1 million people or more, two or more primary metropolitan statistical areas (PMSAs) may be defined within it. Each PMSA consists of a large urbanized county or cluster of counties (cities and towns in New England) that demonstrate very strong internal economic and social links, in addition to close ties to other portions of the larger area. When PMSAs are established, the larger MA of which they are component parts is designated a consolidated metropolitan statistical area (CMSA). CMSAs and PMSAs are established only where local governments favor such designations for a large MA.

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