Aterio Datasets
US Population Forecast
Granular demographic insights and forecasts for every Zip Code until 2035.
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 Name | Description |
|---|---|
| ZIP_CODE | US Zip Code |
| CITY_NAME | City name |
| COUNTY_NAME | County name |
| COUNTY_FIPS_CODE | Federal Information Processing Standards (FIPS) code for counties |
| STATE_CODE | State code |
| TOT_CENSUS_POP_2010 | Population count for Census year 2010 |
| TOT_CENSUS_POP_2011 | Population count for Census year 2011 |
| TOT_CENSUS_POP_2012 | Population count for Census year 2012 |
| TOT_CENSUS_POP_2013 | Population count for Census year 2013 |
| TOT_CENSUS_POP_2014 | Population count for Census year 2014 |
| TOT_CENSUS_POP_2015 | Population count for Census year 2015 |
| TOT_CENSUS_POP_2016 | Population count for Census year 2016 |
| TOT_CENSUS_POP_2017 | Population count for Census year 2017 |
| TOT_CENSUS_POP_2018 | Population count for Census year 2018 |
| TOT_CENSUS_POP_2019 | Population count for Census year 2019 |
| TOT_CENSUS_POP_2020 | Population count for Census year 2020 |
| TOT_CENSUS_POP_2021 | Population count for Census year 2021 |
| TOT_CENSUS_POP_2022 | Population count for Census year 2022 |
| TOT_CENSUS_POP_2023 | Population count for Census year 2023 |
| TOT_FX_POP_2024 | Forecasted population for the year 2024 |
| TOT_FX_POP_2025 | Forecasted population for the year 2025 |
| TOT_FX_POP_2026 | Forecasted population for the year 2026 |
| TOT_FX_POP_2027 | Forecasted population for the year 2027 |
| TOT_FX_POP_2028 | Forecasted population for the year 2028 |
| TOT_FX_POP_2029 | Forecasted population for the year 2029 |
| TOT_FX_POP_2030 | Forecasted population for the year 2030 |
| TOT_FX_POP_2031 | Forecasted population for the year 2031 |
| TOT_FX_POP_2032 | Forecasted population for the year 2032 |
| TOT_FX_POP_2033 | Forecasted population for the year 2033 |
| TOT_FX_POP_2034 | Forecasted population for the year 2034 |
| TOT_FX_POP_2035 | Forecasted population for the year 2035 |
| PCT_CHANGE_PRECOVID | Population variation before Covid |
| PCT_CHANGE_COVID | Population variation during Covid |
| PCT_CHANGE_POSTCOVID | Population variation after Covid |