Spending Trends

Florida Federal Contract Spending Trends

Florida 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 32.46.

Federal Contract Spending Spending Trends Spending Series Series

Updated 03/20/2026

Latest Period
2025
32.46
Visible Change
32.46
Peak Period
2025
32.46
Trend Direction
Up
Unknown

Analysis

The latest visible point is 2025 at 32.46.

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

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

Key takeaway: The latest visible point is 2025 at 32.46.

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

-- Florida 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,
        content__award__placeOfPerformance__principalPlaceOfPerformance__stateCode AS state_code
    FROM fpds.data
    WHERE
        contract_type = 1
        AND content__award__relevantContractDates__signedDate != ''
        AND state_code = 'FL'
)
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
1977 0.00 1 1210000
1978 0.00 1 9020000
1979 3.00 11157 269125
1980 2.68 16796 160049
1981 3.88 15033 258406
1982 4.97 17197 289050
1983 5.62 12837 438355
1984 5.15 13368 385306
1985 6.15 13917 442243
1986 6.66 14892 447778
1987 7.24 13891 521292
1988 6.29 12598 499943
1989 0.31 727 429379
1990 5.51 14036 393235
1991 6.07 15260 397965
1992 6.29 15979 394091
1993 6.64 14745 450867
1994 6.94 15990 434568
1995 7.72 17582 439611
1996 7.59 21920 346391
1997 7.63 16518 462255
1998 6.58 16379 401943
1999 8.07 18165 444752
2000 7.87 18894 416782
2001 8.13 20346 400033
2002 9.27 24772 374256
2003 10.27 36565 280923
2004 10.86 48364 224694
2005 13.32 90233 147696
2006 13.57 156929 86518
2007 14.91 186531 79954
2008 16.38 205836 79593
2009 17.03 111143 153314
2010 17.26 116565 148089
2011 16.47 117508 140236
2012 15.49 100179 154701
2013 14.02 85454 164120
2014 13.54 83208 162844
2015 13.66 135397 100937
2016 18.08 156982 115194
2017 19.20 158794 120943
2018 21.26 166839 127481
2019 26.50 183283 144597
2020 24.69 179743 137397
2021 25.72 223263 115202
2022 26.66 222766 119709
2023 29.08 220157 132120
2024 31.39 235696 133190
2025 32.46 247822 131011

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
49
First Visible Point
1977
Mean
12.00
Median
8.13
Max
32.46
2025
Min
0.00
1977
Volatility
8.31
8.31
Rows Returned
49

Series Extremes

Largest Increase
5.24
2018 → 2019 · 24.65%
Largest Decrease
-5.98
1988 → 1989 · -95.07%

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.

Continue from this trend page into full FPDS Query workflows with deeper filtering, custom SQL, saved queries, and broader market comparison.