Census Charts Index > Louisiana

Louisiana Census Data: Age & Sex by County

Age and sex distributions for Louisiana parishes are shown in this easy-to-read table and chart combination.

Scroll down for information about Reading the chart.

Source: U.S. Census Bureau 2000 Census.


Louisiana Census Data: Age & Sex by County
LocationPopulationAge %Median
Age
Males per 100 FemalesLocation
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
Louisiana

4,468,976

27.310.628.921.611.6

34.0

93.890.1Louisiana
Acadia Pa.58,86129.89.627.420.912.3

33.7

93.588.8Acadia Pa.
Allen Pa.25,44024.69.333.420.811.8

34.8

126.4133.5Allen Pa.
Ascension Pa.76,62730.19.532.620.27.7

32.0

96.993.5Ascension Pa.
Assumption Pa.23,38828.59.828.722.210.9

34.2

93.990.9Assumption Pa.
Avoyelles Pa.41,48126.89.229.021.313.7

35.2

96.493.9Avoyelles Pa.
Beauregard Pa.32,98627.58.628.723.311.9

35.5

100.698.9Beauregard Pa.
Bienville Pa.15,75227.38.024.622.517.6

38.0

91.285.8Bienville Pa.
Bossier Pa.98,31028.09.730.521.310.4

33.8

96.192.8Bossier Pa.
Caddo Pa.252,16126.810.227.422.013.7

35.1

89.784.9Caddo Pa.
Calcasieu Pa.183,57727.410.328.721.811.9

34.5

94.891.3Calcasieu Pa.
Caldwell Pa.10,56024.79.628.523.313.9

36.7

103.0100.2Caldwell Pa.
Cameron Pa.9,99128.49.429.621.910.6

35.0

100.999.4Cameron Pa.
Catahoula Pa.10,92025.810.026.823.014.4

36.7

100.698.0Catahoula Pa.
Claiborne Pa.16,85125.68.026.922.317.3

37.7

99.898.4Claiborne Pa.
Concordia Pa.20,24727.88.925.623.014.7

36.9

95.291.9Concordia Pa.
De Soto Pa.25,49428.48.326.323.014.1

36.3

90.887.0De Soto Pa.
East Baton Rouge Pa.412,85226.214.428.720.89.9

31.5

91.987.5East Baton Rouge Pa.
East Carroll Pa.9,42130.311.527.218.512.5

30.9

104.6106.9East Carroll Pa.
East Feliciana Pa.21,36025.79.330.723.710.6

35.8

116.5119.4East Feliciana Pa.
Evangeline Pa.35,43429.69.627.620.412.8

33.7

99.498.1Evangeline Pa.
Franklin Pa.21,26327.99.125.821.915.3

35.9

91.286.4Franklin Pa.
Grant Pa.18,69828.37.928.123.012.7

35.5

96.193.0Grant Pa.
Iberia Pa.73,26630.09.628.420.611.4

33.3

92.889.8Iberia Pa.
Iberville Pa.33,32026.210.531.121.510.7

34.4

99.898.5Iberville Pa.
Jackson Pa.15,39725.39.325.723.616.2

37.6

91.487.5Jackson Pa.
Jefferson Pa.455,46625.39.130.223.411.9

35.9

92.488.6Jefferson Pa.
Jefferson Davis Pa.31,43529.39.127.321.013.3

34.5

92.587.5Jefferson Davis Pa.
Lafayette Pa.190,50327.411.731.220.29.5

32.4

94.491.4Lafayette Pa.
Lafourche Pa.89,97427.310.529.721.311.3

34.1

95.291.3Lafourche Pa.
La Salle Pa.14,28226.19.427.222.614.8

36.4

100.397.2La Salle Pa.
LocationPopulationAge %Median
Age
Males per 100 FemalesLocation
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
Louisiana

4,468,976

27.310.628.921.611.6

34.0

93.890.1Louisiana
Lincoln Pa.42,50922.125.723.217.611.3

26.5

94.290.9Lincoln Pa.
Livingston Pa.91,81429.59.131.521.48.5

32.8

98.594.5Livingston Pa.
Madison Pa.13,72832.611.225.519.111.6

29.8

103.395.6Madison Pa.
Morehouse Pa.31,02127.59.526.421.415.1

35.6

91.486.1Morehouse Pa.
Natchitoches Pa.39,08026.017.924.319.712.1

30.2

90.685.8Natchitoches Pa.
Orleans Pa.484,67426.711.429.320.911.7

33.1

88.283.3Orleans Pa.
Ouachita Pa.147,25027.912.027.920.311.8

32.3

89.384.5Ouachita Pa.
Plaquemines Pa.26,75729.29.230.521.49.8

33.7

99.497.3Plaquemines Pa.
Pointe Coupee Pa.22,76327.38.827.023.113.9

36.7

94.490.7Pointe Coupee Pa.
Rapides Pa.126,33727.29.527.922.413.1

35.5

91.788.0Rapides Pa.
Red River Pa.9,62230.19.324.821.514.4

34.6

90.885.4Red River Pa.
Richland Pa.20,98127.39.926.821.015.0

35.8

88.784.3Richland Pa.
Sabine Pa.23,45926.28.324.524.416.5

38.2

95.792.6Sabine Pa.
St. Bernard Pa.67,22925.29.229.222.613.8

36.6

93.690.1St. Bernard Pa.
St. Charles Pa.48,07230.38.331.421.09.0

34.2

95.291.7St. Charles Pa.
St. Helena Pa.10,52529.09.126.123.312.5

35.0

92.487.6St. Helena Pa.
St. James Pa.21,21629.59.828.121.411.1

34.0

93.189.4St. James Pa.
St. John the Baptist Pa.43,04431.29.730.221.17.8

32.0

94.390.7St. John the Baptist Pa.
St. Landry Pa.87,70029.59.226.521.413.4

34.6

91.686.8St. Landry Pa.
St. Martin Pa.48,58329.59.629.621.210.1

33.4

96.393.0St. Martin Pa.
St. Mary Pa.53,50029.78.728.721.911.0

34.3

95.092.2St. Mary Pa.
St. Tammany Pa.191,26828.47.329.924.310.0

36.3

96.192.4St. Tammany Pa.
Tangipahoa Pa.100,58827.712.727.721.210.6

32.3

93.088.6Tangipahoa Pa.
Tensas Pa.6,61826.510.025.122.915.5

37.3

97.896.2Tensas Pa.
Terrebonne Pa.104,50329.210.129.821.19.7

33.0

96.694.1Terrebonne Pa.
Union Pa.22,80325.79.126.523.814.9

37.3

94.590.9Union Pa.
Vermilion Pa.53,80728.19.428.220.813.5

35.1

93.989.8Vermilion Pa.
Vernon Pa.52,53129.114.731.416.87.9

28.3

109.3109.7Vernon Pa.
Washington Pa.43,92626.89.526.722.614.3

36.1

95.492.8Washington Pa.
Webster Pa.41,83125.68.626.023.616.3

38.1

91.888.2Webster Pa.
LocationPopulationAge %Median
Age
Males per 100 FemalesLocation
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
Louisiana

4,468,976

27.310.628.921.611.6

34.0

93.890.1Louisiana
West Baton Rouge Pa.21,60128.19.930.621.79.7

34.0

96.693.4West Baton Rouge Pa.
West Carroll Pa.12,31425.69.726.522.615.5

37.2

102.199.5West Carroll Pa.
West Feliciana Pa.15,11120.38.740.023.87.2

36.6

191.1223.6West Feliciana Pa.
Winn Pa.16,89424.89.628.922.714.0

36.2

110.8113.2Winn Pa.

Reading the Chart:

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 county in the state. For example, the county with the highest population will have a colored bar that fills the cell. A county with half that many people will have a colored bar that fills half the cell. For small percentages the bar does not appear.

Abbreviations used in location names: Co.=County, C.A.=Census Area, Pa.=Parish, Mu.=Municipio.

Interested in Louisiana? Check out Louisiana Climate for data and charts about average weather, daylight, and global warming.

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.

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