Aterio Datasets
US Population Forecast
STATE_CODE | CITY_NAME | ZIP_CODE | TOT_CENSUS_POP_2022 | TOT_FX_POP_2030 |
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CO | Red Feather Lakes | 80545 | 968 | 1262 |
CT | Weston | 06883 | 10336 | 10550 |
OR | Hubbard | 97032 | 4736 | 4503 |
SC | Adams Run | 29426 | 1771 | 2059 |
SC | Catawba | 29704 | 3512 | 3780 |
WA | Tacoma | 98421 | 790 | 1610 |
WA | Mesa | 99343 | 3522 | 4120 |
Our Population Dataset is a robust resource that furnishes data regarding the present population, its historical evolution, and forecasts concerning its future dynamics. This dataset is meticulously crafted by merging information from the U.S. Census and research conducted by Columbia University, enhancing it further through the application of machine learning models to predict population changes while factoring in zipcode-specific demographics. This information proves highly valuable to researchers, analysts, and decision-makers seeking to analyze and proactively anticipate shifts in population trends. It offers a dependable and precise means to glean insights into demographic patterns, enabling informed decision-making.
Data Sources
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US Census Bureau: The US Census Bureau plays a pivotal role in our data gathering endeavors, furnishing a wide range of demographic data, such as previous population figure
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University of Columbia: The University of Columbia provides an innovative dimension to our model by offering population projections for the next two decades.
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Enhancing data quality by incorporating additional proprietary data that accounts for various factors contributing to population growth. This involves using machine learning methods to make precise predictions while factoring in the distinct geographic and demographic attributes of specific zip codes.
Key Facts:
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Hyper-Local Precision: Dive deep into population trends at the zip code level.
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Monthly Data Refresh: Stay consistently ahead with monthly dataset updates, ensuring you're equipped with the freshest information to guide your decisions.
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Projection : Forecast values until 2030
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_FX_POP_2023 | Forecasted population for the 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 |
PCT_CHANGE_PRECOVID | Population variation before Covid |
PCT_CHANGE_COVID | Population variation during Covid |
PCT_CHANGE_POSTCOVID | Population variation after Covid |
UPDATED_AT | Date of the last data update |