US Crop Progress & Condition (11 crops: Corn / Soy / Wheat / Cotton / Rice / Sorghum / Barley / Oats / Peanuts / Sugarbeets / Sunflower)

Weekly USDA crop progress and condition for 11 crops - corn, soybeans, wheat, cotton, rice, sorghum, barley, oats, peanuts, sugarbeets and sunflower - % planted, emerged, silking, harvested and (where surveyed) the very-poor→excellent condition split - nationally and per state. The raw QuickStats API caps queries at 50k rows, hides the calendar date and ships values as comma-strings with (D)/(NA) sentinels; this is one clean per state × crop × series × week Parquet.

What's included

• Weekly progress (+ condition where surveyed) for 11 crops (corn, soy, wheat, cotton, rice, sorghum, barley, oats, peanuts, sugarbeets, sunflower), US + every reporting state
• series = crop + the PCT measure (e.g. Corn - Pct planted / Corn - Pct good)
• one row per state × crop × series × week; week-ending Sunday timestamp
• Source: U.S. Department of Agriculture, NASS QuickStats (public domain)

Schema

Sample & preview

Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: USDA (redistributable open data; attribution passes through - see our Licence).

import pandas as pd
df = pd.read_parquet("us-crop-progress-condition_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join