Census Population Estimates Program (PEP)

Mapping & Data Analytics Team 2026-09-02

Overview

The Census Bureau’s Population Estimates Program (PEP) produces annual population and housing unit estimates for the nation, states, and counties between decennial census years.

NOTE

Rather than conducting a new count each year, PEP applies a demographic balancing equation: each year’s population estimate starts from the prior year’s count, adds births, subtracts deaths, and adds net migration (both domestic and international). Housing unit estimates are built separately from the decennial census baseline, incorporating permitted construction, non-permitted construction, mobile home shipments, and estimated housing loss. The result is a consistent annual series that captures how and why population and housing stock are changing — not just whether they are.
This components-of-change approach is what makes PEP analytically valuable beyond the headline total. Counties can have identical population growth rates driven by entirely different dynamics: one growing through natural increase, another through working-age in-migration, a third through retiree in-migration. PEP makes those distinctions visible at the county level every year, which the decennial census alone cannot provide.

What this data tells us about rural America

Population estimates are a foundational input to rural economic analysis, but their value lies in the components of change rather than the headline net figure. A community growing at 0.5% per year through natural increase and retiree in-migration is building a very different demographic and economic future than one growing at the same rate through working-age in-migration. The Population Estimates Program provides the annual county-level components — births, deaths, domestic net migration, international net migration — that make this disaggregation possible.

For rural communities, population trends reflect the cumulative effect of economic conditions, quality of life, and community capacity over time. Out-migration of working-age residents is a persistent pattern in many rural counties. Our research here at CORI suggests this is not always reversed by improvements in economic indicators alone: factors beyond employment and income appear to shape migration decisions. PEP reveals what demographic flows are occurring. Understanding which flows are driving population change is the starting point for identifying which conditions matter most.

PEP tells us not just whether a rural community is growing or shrinking, but what is driving that change: births and deaths, domestic migration, and international migration. Those distinctions matter because different population trajectories imply different workforce, housing, service, and economic-development challenges.

Coverage

Geography: County, State, National
Time range: 2000–present (CORI package); PEP data available further back at state and national levels from the Census Bureau directly
Update frequency: Annual; released each spring for the prior calendar year
Universe: Resident civilian population of the United States; estimates are anchored to decennial census benchmarks and revised with each new vintage

NOTE

Vintage revisions: PEP revises the full time series within each intercensal decade with each annual release. Estimates from 2020–present may differ from earlier releases as new data refines the components. When a new decennial census is conducted, the entire prior decade’s estimates are reconciled to the new benchmark. Analysts should use a consistent vintage when comparing population or components of change across years. See the PEP methodology page for documentation of component data sources and estimation procedures.

Key variables

Population totals (get_population())

population — total resident population estimate
population_16plus — population age 16 and over (used as labor force denominator in employment rate calculations)

Components of change (get_population_change())

births — live births
deaths — deaths
natural_change — births minus deaths
domestic_migration — net domestic in-migration (people moving from other U.S. counties)
international_migration — net international in-migration
net_migration — domestic plus international net migration

Accessing the data

Via CORI R package

The cori.data.pep package provides tidy access to PEP population totals and components of change at the county, state, and national level from 2000 to the present. Because PEP produces consistent annual county populations, it is also a highly convenient resource for converting raw counts into per-capita rates — a best practice for comparing counties of very different sizes that makes rural and nonrural comparisons genuinely apples-to-apples.

library(cori.data.pep)

# Total population — all counties, all years
get_population(geography = "county", variables = "population")

# Components of change — specific counties
get_population_change(
  variables = c("domestic_migration", "international_migration",
                "natural_change"),
  geoids = grep("^54", unique(get_population(geography = "county")$geoid),
                value = TRUE),
  years = 2010:2025
)

Direct from source

Annual estimate files are available for download from the Census Population and Housing Unit Estimates page. Files are organized by vintage year and geography. See the PEP methodology page for full documentation of component data sources, estimation methods, and vintage revision procedures.

Package: cori.data.pep — CORI’s tidy access layer for population totals and components of change
Package: cori.data — meta-package including cori.data.pep
Package: cori.data.hu — housing unit estimates, also produced by PEP alongside population estimates
Dataset: American Community Survey — demographic composition and household characteristics that contextualize PEP population totals
Project: Rural Economic Outlook — PEP is a core demographic input to CORI’s multi-dataset analysis