Population


Environmental Indicators:

Societal Indicators:

Energy Population Water Use Endangered Species

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Explore the map:

The initial map shows the percent change in population by county from 1970 to 2022.
Each of the above highlighted attributes can be changed in the grey sidebar to the left of the map. Click the Update Map button to refresh the map based on your selections.

Explore the charts:

Click a location on the map and scroll down to see how population changes over time at that location. Click on the tabs to view additional information. Click on the magnifying glass icon on the right side of the map to search for a location.


Select

Political Boundary:



Time Period:

Start Year:

End Year:




Population relative to start year (left) shows how population has changed over time for the selected location. The dashed line is the population at the selected start year.

Percent population change (right) shows the percent change in population relative to the selected start year (0%).

Population relative to start year

Percent population change

Population change relative to surrounding areas shows percent population change from the selected start year by relevant political boundaries (state, Corps District, and Corps Division).

Population change relative to other counties shows the 25th-75th percentile (box) and 10-90th percentile (whiskers) of population change by counties inside different political boundaries within the selected time period. If a county was selected, a horizontal black line with the county value will be displayed.

Population change relative to surrounding areas

Population change relative to other counties

How has population growth changed? displays the population change per year. This shows how consistent population change has been over time and helps to compensate for when a time period starts or ends in extremity. Highlighted cells are for the selected start year (row).

Slope (Population / yr):

County Slope ≥ 10,000 10,000 > Slope ≤ 5,000 5,000 > Slope ≤ 100 100 > Slope > -100 -100 ≤ Slope > -5,000 -5,000 ≤ Slope > -10,000 Slope ≤ -10,000
State or District Slope ≥ 100,000 100,000 > Slope ≤ 50,000 50,000 > Slope ≤ 10,000 10,000 > Slope > -10,000 -10,000 ≤ Slope > -50,000 -50,000 ≤ Slope > -100,000 Slope ≤ -100,000
Division Slope ≥ 400,000 400,000 > Slope ≤ 300,000 300,000 > Slope ≤ 150,000 150,000 > Slope > -150,000 -150,000 ≤ Slope > -300,000 -300,000 ≤ Slope > -400,000 Slope ≤ -400,000

How has the rate of population growth changed?

The overall population has increased in the United States, however, population growth has varied geographically as people migrate to different geographic regions (such as from the Rust Belt to the Sun Belt) and from rural communities to urban centers. Two hundred and three Corps reservoirs (38%) are authorized to provide storage space for water to be used for irrigation and/or water supply. Changes in population growth, and subsequent water demand, have affected how reservoirs meet their authorized purposes. Some reservoirs never saw water demand (for supply or hydropower) materialize. Other reservoirs, such as Buford Dam and Lake Lanier in Georgia, have experienced large increases in population growth and subsequent water demand. Understanding regional population trends can help managers understand potential changes in water demand.


  • Data Sources:

  • Methods:
    • County: White counties in the map indicate missing data. These data are missing because county boundaries change over time. The county either formed at a later time or was part of another county prior to your selected start or end date. Changes in county boundaries since 1970 are described by the Census Bureau here.
    • County and State: Population was reported by county. States are the sum of county populations within state borders.
    • Corps Divisions/Districts: Counties were spatially joined to Corps Divisions and Districts. District and Division population is the sum of counties populations within a Corps Division or District.
    • Trend Tests: Since the data are reported decadally, there were not enough data points for robust trend tests. Instead the percent change relative to the selected year were visualized. All calculations were performed in R.

  • Data Last Updated: January 2024
  • Anticipated Update Frequency: Annually