CDC Wonder

What You Can Build

• 1Access US mortality, natality, and disease surveillance data by demographics
• 2Build public health dashboards tracking cause-of-death trends over decades
• 3Analyze geographic variation in health outcomes at county level
• 4Study the opioid crisis, COVID mortality, and chronic disease burden with CDC data

Python Example

# pip install pandas requests
import pandas as pd

# CDC Wonder data via data.cdc.gov Socrata API
from sodapy import Socrata
client = Socrata("data.cdc.gov", "YOUR_APP_TOKEN")
results = client.get("bi63-dtpu", limit=1000,  # Underlying Cause of Death
                     select="cause_of_death,deaths,year",
                     where="year='2022'")
df = pd.DataFrame.from_records(results)
df["deaths"] = pd.to_numeric(df["deaths"])
print(df.nlargest(10, "deaths"))