Population Pyramids & Age Cohort Analysis

Patterns and trends of population composition by county and region are important to planning and decision-making.  By knowing more about the prospective changing demand for products and services, in both the private and public sector, operations are more likely to be successful is one of the more important methods of examining the patterns and trends.  How has the size of the population in a certain age group by gender by race-origin changed over time?  How might it change into the future? This section reviews use population pyramids to examine patterns and trends (2000 to 2010) of the Asian Indian population by county.  You can use tools described below to examine race-origin population pyramids for any county or state; described in more detail below.  See the Web version of this post for more details.

Visual Analysis & Population Pyramids
The graphics below illustrate how population pyramids, and related tables, can be used to explore characteristics of the Asian Indian population. One graphic shows Census 2000 data, the second graphic shows Census 2010 data.
Census 2000 U.S. Asian Indian alone population …

Click graphic to view as HTML.

Census 2010 U.S. Asian Indian alone population …

Click graphic to view as HTML.

Gaining Insights
The population pyramid helps us understand the age and gender structure of a population in a specific area, like a county or state. The shape of the pyramid can show the potential for future growth and provide hints about past trends. A top-heavy pyramid suggests negative population growth that might be due to many factors, including high death rates, low birthrates and increased emigration. A bottom-heavy pyramid suggests high birthrates, falling or stable death rates and potential for rapid population growth.

The population pyramid shows a male population bar chart (left side of pyramid, blue) symmetrically with a female population bar chart (right side of pyramid, light red). Each bar shows the population by 5-year age group, 0-4 years to 80-84 years and 85 years and over.

We can use the Census 2010 Summary File 2 Demographic Profile 1 (http://www.proximityone.com/cen2010_sf2.htm) interactive ranking table to determine that Santa Clara County, CA has the largest Asian Indian alone population based on Census 2010. The geographic summary level is set to county, the Race Group is set to Asian Indian alone, and the header column D001 (total population) is clicked to determine that Santa Clara County has an Asian Indian alone population of 117,596. In these examples, the bar maximum population value has been set to 10,000 (can be set to any value) making it easier to compare the distributions between 2000 and 2010.

Census 2000 Santa Clara County, CA Asian Indian alone population …

Click graphic to view as HTML.

Census 2010 Santa Clara County, CA Asian Indian alone population …

Click graphic to view as HTML.

Start Exploring Now!
Use the no fee ChartGraphics software with ready-to-use U.S. national scope U.S., state and county data to create your own population pyramids like those reviewed here. The following view shows the ChartGraphics user interface when used to display the data for Santa Clara County. An optional setting enables the user to publish the population pyramid and associated age-gender population by age table as shown in the above graphics. The resulting published data is in HTML structure and ready to integrate into your documents. As shown in this view, you can easily select the year, race group and geographic area of interest.

Join me in a Data Analytics Lab session to discuss more details about age-cohort analysis, development and use of population pyramids and use of data analytics related to your interests.

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.

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