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Spending Trends

NAICS 237310 Federal Contract Spending Trends

NAICS 237310 Federal 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 1.17.

Federal Contract Spending Spending Trends Spending Series Series

Updated 03/20/2026

Latest Period
2025
1.17
Visible Change
—
1.17
Peak Period
2020
8.13
Trend Direction
Up
Unknown

Analysis

The latest visible point is 2025 at 1.17.

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

NAICS 237310 Federal Contract Spending Trends tracks federal contract spending over time in FPDS-derived data.

Key takeaway: The latest visible point is 2025 at 1.17.

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

-- NAICS 237310 Federal 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__productOrServiceInformation__principalNAICSCode = '237310'
)
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
2001 0.00 6 1047729
2002 0.08 160 548467
2003 1.12 5760 195965
2004 0.99 5972 166625
2005 0.95 4173 228954
2006 1.33 5239 254044
2007 2.06 7554 273877
2008 3.08 8203 375797
2009 2.89 9740 297344
2010 3.04 11046 275818
2011 1.87 9394 199976
2012 1.72 8827 195459
2013 1.39 7299 190530
2014 2.18 7339 297988
2015 1.66 6987 238167
2016 1.96 6676 294034
2017 1.63 6443 253516
2018 2.17 6245 348136
2019 5.25 5947 883844
2020 8.13 6242 1303974
2021 1.88 5723 328516
2022 2.10 5435 387563
2023 2.79 5402 518008
2024 2.58 5113 504882
2025 1.17 4558 258464

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
25
First Visible Point
2001
Mean
2.16
Median
1.88
Max
8.13
2020
Min
0.00
2001
Volatility
1.60
1.6
Rows Returned
25

Series Extremes

Largest Increase
3.08
2018 → 2019 · 141.94%
Largest Decrease
-6.25
2020 → 2021 · -76.88%

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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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