
us-census-data
by MisterClean
Custom skills for Claude Code - domain-specific knowledge and workflows
SKILL.md
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:
- Look for
CENSUS_API_KEYin the user's.envfile - If found, append to requests:
&key=<api_key> - If not found, instruct the user to:
- Register at https://api.census.gov/data/key_signup.html
- Add to
.env:CENSUS_API_KEY=your_key_here
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:
- Dataset path:
/data/{year}/{dataset}(e.g.,/data/2022/acs/acs5) - Variables:
?get=NAME,B01001_001E(variable codes) - Geography:
&for=county:*&in=state:17(FIPS codes) - 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
| Need | Dataset | Endpoint | Notes |
|---|---|---|---|
| Detailed demographics (small areas) | ACS 5-Year | /data/{year}/acs/acs5 | Block group+, most reliable |
| Recent data (large areas only) | ACS 1-Year | /data/{year}/acs/acs1 | 65k+ population areas only |
| Exact population counts | Decennial | /data/2020/dec/dhc | Every 10 years, block level |
| Annual population change | Pop Estimates | /data/{year}/pep/population | County+, 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:
GET https://api.census.gov/data/2022/acs/acs5/variables.json
Option C - Groups (Tables) API:
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:
https://api.census.gov/data/{year}/{dataset}?get={variables}&for={geography}&key={api_key}
Example - Median income by county in Illinois:
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 statesfor=county:*&in=state:17- All counties in Illinoisfor=tract:*&in=state:17&in=county:031- All tracts in Cook County, ILfor=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:
[
["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
| Parameter | Purpose | Example |
|---|---|---|
get | Variables to return | get=NAME,B01001_001E,B19013_001E |
for | Target geography | for=county:* or for=county:031 |
in | Parent geography filter | in=state:17 |
key | API key | key=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 + territoriesfor=county:*&in=state:06- All counties in Californiafor=tract:*&in=state:06&in=county:037- All tracts in LA County
Common Query Patterns
State-level totals:
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E&for=state:*&key=$CENSUS_API_KEY"
County-level within a state:
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B19013_001E&for=county:*&in=state:17&key=$CENSUS_API_KEY"
Tract-level (requires state + county):
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E&for=tract:*&in=state:17&in=county:031&key=$CENSUS_API_KEY"
Multiple variables:
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E,B19013_001E,B25001_001E&for=county:*&in=state:17&key=$CENSUS_API_KEY"
Output Format
Provide the user with:
- Dataset: Name + endpoint + year
- Variables: Code + label for each
- Geography: Level + filters
- Query: Full URL or curl command
- Caveats: MOE notes, update frequency, limitations
Example Response Format
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
| Issue | Cause | Fix |
|---|---|---|
| 400 Bad Request | Invalid variable or geography | Check variable exists for that dataset/year |
| 204 No Content | Valid query, no matching data | Geography may not exist or have data |
Empty array [] | No data for that geography | Try different year or geography level |
| "error: unknown variable" | Variable doesn't exist | Use variables.json endpoint to verify |
| Missing data for small areas | ACS 1-year limitation | Use ACS 5-year for areas <65k population |
Margins of Error (ACS Data)
ACS estimates have sampling error. Always consider:
Esuffix = estimate,Msuffix = 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 topicreferences/geographies.md- Geography hierarchy, FIPS codes, nesting rulesreferences/tigerweb.md- Boundary/geometry retrieval via TIGERweb API
Example Files
examples/python-query.py- Python code with requests libraryexamples/curl-examples.sh- curl command templates
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