Population Pyramid Data and R Script for the US, States, and Counties 1970 - 2017
Principal Investigator(s): View help for Principal Investigator(s) Nathanael Rosenheim, Texas A&M University
Version: View help for Version V2
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text/csv | 53.2 MB | 01/15/2020 07:50:AM |
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text/x-rsrc | 5.6 KB | 01/15/2020 07:50:AM |
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application/pdf | 117.9 KB | 01/15/2020 07:57:AM |
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text/csv | 3 KB | 01/23/2020 09:14:AM |
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application/pdf | 562.6 KB | 01/23/2020 09:54:AM |
Project Citation:
Rosenheim, Nathanael. Population Pyramid Data and R Script for the US, States, and Counties 1970 - 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-01-23. https://doi.org/10.3886/E117081V2
Project Description
Summary:
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Population pyramids provide
a way to visualize the age and sex composition of a geographic region, such as
a nation, state, or county. A standard population pyramid divides sex into two
bar charts or histograms, one for the male population and one for
the female population. The two charts mirror each other and are divide age
into 5-year cohorts. The shape of a population pyramid provides insights
into a region’s fertility, mortality, and migration patterns. When a region has
high fertility and mortality, but low migration the visualization will look
like a pyramid, with the youngest age cohort (0-4 years) representing the largest
percent of the population and each older cohort representing a progressively
smaller percent of the population.
In many regions fertility and mortality have decreased significantly since 1970, as people live longer and women have fewer children. With lower fertility and mortality, population pyramids are shaped more like a pillar.
While population pyramids can be made for any geographic region, when interpreting population pyramids for smaller areas (like counties) the most important force that shapes the pyramid is often in- and out-migration (Wang and vom Hofe, 2006, p. 65). For smaller regions, population pyramids can have unique shapes.
This data archive provides the resources needed to generate population pyramids for the United States, individual states, and any county within the United States. Population pyramids usually require significant data cleaning and graph making skills to generate one pyramid. With this data archive the data cleaning has been completed and the R script provides reusable code to quickly generate graphs. The final output is an image file with six graphs on one page. The final layout makes it easy to compare changes in population age and sex composition for any state and any county in the US for 1970, 1980, 1990, 2000, 2010, and 2017.
In many regions fertility and mortality have decreased significantly since 1970, as people live longer and women have fewer children. With lower fertility and mortality, population pyramids are shaped more like a pillar.
While population pyramids can be made for any geographic region, when interpreting population pyramids for smaller areas (like counties) the most important force that shapes the pyramid is often in- and out-migration (Wang and vom Hofe, 2006, p. 65). For smaller regions, population pyramids can have unique shapes.
This data archive provides the resources needed to generate population pyramids for the United States, individual states, and any county within the United States. Population pyramids usually require significant data cleaning and graph making skills to generate one pyramid. With this data archive the data cleaning has been completed and the R script provides reusable code to quickly generate graphs. The final output is an image file with six graphs on one page. The final layout makes it easy to compare changes in population age and sex composition for any state and any county in the US for 1970, 1980, 1990, 2000, 2010, and 2017.
Scope of Project
Subject Terms:
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Population;
demographic characteristics;
rstudio
Geographic Coverage:
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States,
United States,
Counties
Time Period(s):
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1970 – 2017 (1970, 1980, 1990, 2000, 2010, 2017)
Universe:
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The United States, State level, and County Level Population totals by 5 year age cohorts and gender
Data Type(s):
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census/enumeration data
Methodology
Unit(s) of Observation:
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Gender, Age Cohort, Year, County within state
Geographic Unit:
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County
Related Publications
Published Versions
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.