> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-products/us-population-forecast/main-datasets/population-forecast-by-age-and-gender-by-zip-code.md).

# Population Forecast by Age & Gender by ZIP Code

An enriched version of the population forecast dataset, this file offers projections segmented by age groups and gender at the ZIP Code level. It supports detailed demographic analysis, allowing users to assess age-specific and gender-based population trends for more targeted research, planning, and policy development.

### Schema Overview

<table><thead><tr><th width="307">Field Name</th><th width="148">Field Data Type</th><th width="547">Description</th></tr></thead><tbody><tr><td>YEAR</td><td>Integer</td><td>Year</td></tr><tr><td>ZIP_CODE</td><td>String</td><td>ZIP Code</td></tr><tr><td>COUNTY_NAME</td><td>String</td><td>County name</td></tr><tr><td>COUNTY_FIPS_CODE</td><td>String</td><td>Federal Information Processing Standards (FIPS) code for counties</td></tr><tr><td>CITY_NAME</td><td>String</td><td>City name</td></tr><tr><td>PLACE_FIPS_CODE</td><td>String</td><td>City FIPS Code</td></tr><tr><td>STATE_CODE</td><td>String</td><td>State Code</td></tr><tr><td>GENDER_NAME</td><td>String</td><td>Gender Name (Male/Female)</td></tr><tr><td>AGE_GROUP</td><td>String</td><td>Age group buckets</td></tr><tr><td>TOT_POPULATION</td><td>Integer</td><td>Total population (Year over year)</td></tr><tr><td>TOT_POPULATION_PRED_LOWER</td><td>Integer</td><td>Total Population Prediction Lower Bound</td></tr><tr><td>TOT_POPULATION_PRED_UPPER</td><td>Integer</td><td>Total Population Prediction Upper Bound</td></tr><tr><td>MONTH_CODE</td><td>Integer</td><td>Month Code (related to UPDATED_AT)</td></tr><tr><td>UPDATED_AT</td><td>Date</td><td>Date of the last data update</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://knowledge.aterio.io/data-products/us-population-forecast/main-datasets/population-forecast-by-age-and-gender-by-zip-code.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
