AgentSkillsCN

us-census-data

当用户请求“获取人口普查数据”“查询美国社区调查数据”“查找ACS数据”“按州统计人口数量”“查询十年一次的人口普查数据”“检索人口普查变量”“获取居民收入中位数数据”“下载人口统计数据”“调用人口普查API”“从人口普查中获取住房数据”,或提及美国人口普查局的相关数据(如人口统计、收入、贫困、教育、住房、人口估算等)时,应使用此技能。

SKILL.md
--- frontmatter
name: us-census-data
description: This skill should be used when the user asks to "get Census data", "query American Community Survey", "find ACS data", "get population by state", "query Decennial Census", "find Census variables", "get median income data", "download demographic data", "Census API query", "get housing data from Census", or mentions US Census Bureau data (demographics, income, poverty, education, housing, population estimates, etc.).
version: 1.1.0

US Census Data Skill

Query demographic, economic, housing, and population data from the US Census Bureau API. Supports American Community Survey (ACS), Decennial Census, and Population Estimates.

Prerequisites

Before querying, check if the user has an API key:

  1. Look for CENSUS_API_KEY in the user's .env file
  2. If found, append to requests: &key=<api_key>
  3. If not found, instruct the user to:

The API works without a key for testing but is rate-limited and may block requests.

Quick Start

The Census API is at api.census.gov. Queries require:

  1. Dataset path: /data/{year}/{dataset} (e.g., /data/2022/acs/acs5)
  2. Variables: ?get=NAME,B01001_001E (variable codes)
  3. Geography: &for=county:*&in=state:17 (FIPS codes)
  4. API Key: &key=YOUR_KEY (required for production use)

Workflow

Step 1: Clarify the Data Need

Ask the user:

  • Topic: What data? (population, income, housing, education, poverty, etc.)
  • Geography: What level? (nation, state, county, tract, block group, ZCTA?)
  • Time period: Which year(s)?
  • Dataset: ACS 5-year (most common), ACS 1-year, or Decennial Census?

Step 2: Choose the Dataset

NeedDatasetEndpointNotes
Detailed demographics (small areas)ACS 5-Year/data/{year}/acs/acs5Block group+, most reliable
Recent data (large areas only)ACS 1-Year/data/{year}/acs/acs165k+ population areas only
Exact population countsDecennial/data/2020/dec/dhcEvery 10 years, block level
Annual population changePop Estimates/data/{year}/pep/populationCounty+, intercensal

See references/datasets.md for complete dataset documentation.

Step 3: Find Variables

Census variables use codes like B19013_001E (median household income). The E suffix = estimate, M suffix = margin of error.

Option A - Popular Variables Reference: See references/popular-variables.md for curated list of common variables.

Option B - Variable Search API:

code
GET https://api.census.gov/data/2022/acs/acs5/variables.json

Option C - Groups (Tables) API:

code
GET https://api.census.gov/data/2022/acs/acs5/groups.json

See references/datasets.md for common table prefixes and naming conventions.

Step 4: Build the Query

Basic structure:

code
https://api.census.gov/data/{year}/{dataset}?get={variables}&for={geography}&key={api_key}

Example - Median income by county in Illinois:

code
https://api.census.gov/data/2022/acs/acs5?get=NAME,B19013_001E&for=county:*&in=state:17&key=YOUR_KEY

Geography predicates:

  • for=state:* - All states
  • for=county:*&in=state:17 - All counties in Illinois
  • for=tract:*&in=state:17&in=county:031 - All tracts in Cook County, IL
  • for=block%20group:*&in=state:17&in=county:031&in=tract:010100 - Block groups in tract

See references/geographies.md for complete geography hierarchy and FIPS codes.

Step 5: Handle Response

Census API returns JSON array where first row is column headers:

json
[
  ["NAME", "B19013_001E", "state", "county"],
  ["Cook County, Illinois", "62088", "17", "031"],
  ["DuPage County, Illinois", "99007", "17", "043"]
]

For large queries, the API has no built-in pagination. Request specific geographies or use &in= filters.

Query Syntax Reference

Parameters

ParameterPurposeExample
getVariables to returnget=NAME,B01001_001E,B19013_001E
forTarget geographyfor=county:* or for=county:031
inParent geography filterin=state:17
keyAPI keykey=abc123

Variable Syntax

  • Request multiple: get=NAME,B01001_001E,B19013_001E (comma-separated)
  • Request table: get=group(B19013) (all variables in table)
  • Include MOE: get=B19013_001E,B19013_001M

Geography Wildcards

Use * for "all" at that level:

  • for=state:* - All 50 states + DC + territories
  • for=county:*&in=state:06 - All counties in California
  • for=tract:*&in=state:06&in=county:037 - All tracts in LA County

Common Query Patterns

State-level totals:

bash
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E&for=state:*&key=$CENSUS_API_KEY"

County-level within a state:

bash
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B19013_001E&for=county:*&in=state:17&key=$CENSUS_API_KEY"

Tract-level (requires state + county):

bash
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E&for=tract:*&in=state:17&in=county:031&key=$CENSUS_API_KEY"

Multiple variables:

bash
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E,B19013_001E,B25001_001E&for=county:*&in=state:17&key=$CENSUS_API_KEY"

Output Format

Provide the user with:

  1. Dataset: Name + endpoint + year
  2. Variables: Code + label for each
  3. Geography: Level + filters
  4. Query: Full URL or curl command
  5. Caveats: MOE notes, update frequency, limitations

Example Response Format

code
Dataset: ACS 5-Year 2022
Endpoint: https://api.census.gov/data/2022/acs/acs5

Variables:
- NAME: Geography name
- B19013_001E: Median Household Income (estimate)
- B19013_001M: Median Household Income (margin of error)

Geography: All counties in Illinois (state FIPS 17)

Query:
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B19013_001E,B19013_001M&for=county:*&in=state:17&key=$CENSUS_API_KEY"

Note: ACS data are estimates with margins of error. 5-year estimates are most reliable for small geographies.

Troubleshooting

IssueCauseFix
400 Bad RequestInvalid variable or geographyCheck variable exists for that dataset/year
204 No ContentValid query, no matching dataGeography may not exist or have data
Empty array []No data for that geographyTry different year or geography level
"error: unknown variable"Variable doesn't existUse variables.json endpoint to verify
Missing data for small areasACS 1-year limitationUse ACS 5-year for areas <65k population

Margins of Error (ACS Data)

ACS estimates have sampling error. Always consider:

  • E suffix = estimate, M suffix = margin of error (90% confidence)
  • Small geographies have larger MOEs
  • 5-year estimates are more reliable than 1-year
  • Decennial Census has no MOE (100% count)

See references/datasets.md for MOE calculation guidance.

Geometry (TIGERweb)

Census data API returns tabular data only. For geographic boundaries, use TIGERweb:

See references/tigerweb.md for geometry retrieval and data joining.

Additional Resources

Reference Files

  • references/datasets.md - Complete dataset documentation (ACS, Decennial, PEP)
  • references/popular-variables.md - Curated list of common variables by topic
  • references/geographies.md - Geography hierarchy, FIPS codes, nesting rules
  • references/tigerweb.md - Boundary/geometry retrieval via TIGERweb API

Example Files

  • examples/python-query.py - Python code with requests library
  • examples/curl-examples.sh - curl command templates