Aterio Datasets

US Population Forecast

Granular demographic insights and forecasts for every Zip Code until 2035.

Available on

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About

Aterio’s Population Forecast provides comprehensive insights into current population figures, historical trends, and future projections. It integrates data from the U.S. Census Bureau, CDC (fertility and mortality rates), National Cancer Institute, migration patterns, and social media audiences to accurately estimate population distribution. This dataset is a valuable tool for researchers, analysts, and decision-makers, enabling precise demographic analysis and informed planning.

Dataset Components:

Comprehensive Demographic Data – Sourced from the latest U.S. Census Bureau, CDC, and NCI, enriched with META (Facebook Audience Insights) and updated monthly to track evolving trends. Enhanced Accuracy – Incorporates proprietary data and advanced modeling techniques, leveraging machine learning to account for key population growth factors. Seamless Data Integration – Metadata mapping connects attribute names to table IDs, ZIP codes to cities/counties, and Core-Based Statistical Areas (CBSAs) for streamlined analysis.

Primary Fields Included:

  • Zip Codes
  • Aterio Unique ID
  • County
  • City
  • CBSAs
  • State
  • Latitude/Longitude

Business Needs:

  • Market Analysis: Identify attractive investment opportunities by leveraging predictive modeling to pinpoint locations and neighborhoods with high population growth potential.
  • Real Estate: Real estate developers and investors can make more informed decisions about property investments by assessing population growth and migration trends in specific zip codes, enabling them to identify areas with potential for higher property values and rental income.
  • Location Data Enrichment: A dataset focusing on population forecasts and migration patterns by zip code addresses a fundamental business need for accurate and localized data, empowering businesses and organizations to make strategic choices, allocate resources effectively, and stay ahead of changing market dynamics.
  • Healthcare Analytics: Healthcare providers and analysts can utilize our detailed demographic data to enhance service line forecasting and resource allocation. By understanding population dynamics and future trends at a hyper-local level, healthcare organizations can optimize their operations, improve patient outcomes, and strategically plan for future demands.
  • Rental Property Management: Rental property owners and managers can leverage our demographic insights to better understand population trends and housing demands. By analyzing data on household units availability, geographical mobility, and income status at the zip code level, they can optimize rental pricing, identify high-demand areas, and improve occupancy rates.
  • Demographic and Population Research: Research institutions focusing on demographics and population studies can utilize our comprehensive dataset to conduct in-depth analysis and projections. With access to historical, current, and forecasted population data, researchers can study trends, identify patterns, and publish findings that contribute to the broader understanding of population dynamics and their implications.

Why Choose Aterio?

  • Granular ZIP-Level Forecasts through 2030
  • Monthly Updates to reflect evolving housing and economic conditions
  • Machine Learning–Driven Projections for housing demand
  • Nationwide Coverage across ~41,000 U.S. ZIP codes

Fields

Column NameDescription
ZIP_CODEUS Zip Code
CITY_NAMECity name
COUNTY_NAMECounty name
COUNTY_FIPS_CODEFederal Information Processing Standards (FIPS) code for counties
STATE_CODEState code
TOT_CENSUS_POP_2010Population count for Census year 2010
TOT_CENSUS_POP_2011Population count for Census year 2011
TOT_CENSUS_POP_2012Population count for Census year 2012
TOT_CENSUS_POP_2013Population count for Census year 2013
TOT_CENSUS_POP_2014Population count for Census year 2014
TOT_CENSUS_POP_2015Population count for Census year 2015
TOT_CENSUS_POP_2016Population count for Census year 2016
TOT_CENSUS_POP_2017Population count for Census year 2017
TOT_CENSUS_POP_2018Population count for Census year 2018
TOT_CENSUS_POP_2019Population count for Census year 2019
TOT_CENSUS_POP_2020Population count for Census year 2020
TOT_CENSUS_POP_2021Population count for Census year 2021
TOT_CENSUS_POP_2022Population count for Census year 2022
TOT_CENSUS_POP_2023Population count for Census year 2023
TOT_FX_POP_2024Forecasted population for the year 2024
TOT_FX_POP_2025Forecasted population for the year 2025
TOT_FX_POP_2026Forecasted population for the year 2026
TOT_FX_POP_2027Forecasted population for the year 2027
TOT_FX_POP_2028Forecasted population for the year 2028
TOT_FX_POP_2029Forecasted population for the year 2029
TOT_FX_POP_2030Forecasted population for the year 2030
TOT_FX_POP_2031Forecasted population for the year 2031
TOT_FX_POP_2032Forecasted population for the year 2032
TOT_FX_POP_2033Forecasted population for the year 2033
TOT_FX_POP_2034Forecasted population for the year 2034
TOT_FX_POP_2035Forecasted population for the year 2035
PCT_CHANGE_PRECOVIDPopulation variation before Covid
PCT_CHANGE_COVIDPopulation variation during Covid
PCT_CHANGE_POSTCOVIDPopulation variation after Covid