Spending Trends

Department of Agriculture Contract Spending Trends

Department of Agriculture Contract Spending Trends shows how federal contract spending changes across the visible time series in FPDS-derived procurement data.

The latest visible point is 2025 at 9.56. Across the visible range, the series changed by 508.92%.

Federal Contract Spending Spending Trends Spending Series Series

Updated 03/20/2026

Latest Period
2025
9.56
Visible Change
508.92%
7.99
Peak Period
2020
12.15
Trend Direction
Up
Very Strong

Analysis

The latest visible point is 2025 at 9.56. Across the visible range, the series changed by 508.92%.

Why it matters: Use this page to evaluate how federal contract spending levels shift over time and identify inflection points.

Methodology: The query returns a structured time series, detects a period column and a primary numeric metric, and computes visible-series statistics such as latest value, peak, low, and overall change.

Commentary

Department of Agriculture Contract Spending Trends tracks federal contract spending over time in FPDS-derived data.

Key takeaway: The latest visible point is 2025 at 9.56. Overall visible change is 508.92%.

Analyst note: This page is best used for directional review, turning points, and quick comparison against related time windows or scopes.

Trend Chart

This chart plots Federal Contract Spending over the visible time series returned by the query.

Query Used

-- Department of Agriculture Contract Spending Trends
SELECT
    fiscal_year,
    round(sum(obligated_amount) / 1000000000, 2) AS spending_billion_usd,
    count() AS award_count,
    round(sum(obligated_amount) / count(), 0) AS avg_award_size
FROM
(
    SELECT
        if(
            toUInt8(substring(content__award__relevantContractDates__signedDate, 6, 2)) >= 10,
            toUInt16(substring(content__award__relevantContractDates__signedDate, 1, 4)) + 1,
            toUInt16(substring(content__award__relevantContractDates__signedDate, 1, 4))
        ) AS fiscal_year,
        content__award__dollarValues__obligatedAmount AS obligated_amount
    FROM fpds.data
    WHERE
        contract_type = 1
        AND content__award__relevantContractDates__signedDate != ''
        AND content__award__purchaserInformation__contractingOfficeAgencyID__departmentName = 'AGRICULTURE, DEPARTMENT OF'
)
WHERE fiscal_year < toYear(today())
GROUP BY fiscal_year
ORDER BY fiscal_year ASC

Trend Table

This table shows the structured time series returned by the query.

Fiscal Year Spending Billion Usd Award Count Avg Award Size
1979 1.57 9754 161090
1980 2.09 11905 175910
1981 1.68 11675 144203
1982 1.15 5343 216773
1983 1.52 6397 238227
1984 1.23 5348 231817
1985 1.14 5476 209840
1986 1.65 8156 203199
1987 1.25 6833 184264
1988 1.24 4222 295153
1989 1.39 6808 204703
1990 1.63 10866 150806
1991 2.04 12350 165515
1992 2.34 11395 205872
1993 2.50 10946 228537
1994 2.52 12316 204621
1995 2.12 9356 226827
1996 1.99 8745 228148
1997 1.72 7506 229779
1998 2.26 8176 276726
1999 2.89 8801 328705
2000 3.07 9707 316875
2001 3.15 10741 294021
2002 3.08 9402 327841
2003 4.50 24219 185970
2004 3.91 29954 130784
2005 3.90 32945 118427
2006 3.99 48011 83297
2007 4.40 56942 77377
2008 5.13 58191 88247
2009 5.24 64041 81829
2010 5.94 70163 84704
2011 5.06 68234 74171
2012 5.03 61558 81732
2013 5.02 57641 87124
2014 5.20 64749 80322
2015 5.91 62382 94804
2016 5.70 66943 85282
2017 6.17 72592 85041
2018 6.07 70631 85985
2019 7.33 57439 127689
2020 12.15 56695 214366
2021 9.72 53330 182392
2022 10.03 57232 175363
2023 11.45 59103 193817
2024 11.59 66069 175507
2025 9.56 55168 173465

How This Trend Is Built

Measure how a selected procurement metric changes across time.

Query structure

  • The query selects a time dimension used as the x-axis for the trend.
  • It calculates or returns a numeric metric for each visible period.
  • The result is interpreted as a chronological series for trend analysis.
  • The metric focuses on obligated dollars or a directly related spending aggregate.

Included fields

  • fiscal_year — Defines the chronological unit used for the trend series.
  • spending_billion_usd — Defines the main value plotted and analyzed over time.
  • award_count — Provides additional numeric context that can support interpretation.
  • avg_award_size — Provides additional numeric context that can support interpretation.

How to use this trend

  • trend direction analysis
  • time-series review
  • federal procurement timing analysis
  • spending trajectory review
  • budget pattern review

Computed Metrics

Series Points
47
First Visible Point
1979
1.57
Mean
4.26
Median
3.15
Max
12.15
2020
Min
1.14
1985
Volatility
3.00
3
Rows Returned
47

Series Extremes

Largest Increase
4.82
2019 → 2020 · 65.76%
Largest Decrease
-2.43
2020 → 2021 · -20.00%

Related Pages

Method Notes

  • Trend interpretation is based on the returned query result set ordered by the detected period column.
  • Change metrics compare the first visible point and the latest visible point in the series.
  • Volatility is based on the standard deviation of the visible numeric series.

Use FPDS Query for deeper trend analysis

Go beyond the published time series with custom SQL, broader filters, saved queries, and deeper procurement analysis across agencies, vendors, industries, states, contract structures, and competitive segments.

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