Spending Trends

Georgia Federal Contract Spending Trends

Georgia 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 11.67. Across the visible range, the series changed by 1,055.45%.

Federal Contract Spending Spending Trends Spending Series Series

Updated 03/20/2026

Latest Period
2025
11.67
Visible Change
1,055.45%
10.66
Peak Period
2020
14.39
Trend Direction
Up
Very Strong

Analysis

The latest visible point is 2025 at 11.67. Across the visible range, the series changed by 1,055.45%.

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

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

Key takeaway: The latest visible point is 2025 at 11.67. Overall visible change is 1,055.45%.

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

-- Georgia 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 = 'GA'
)
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 1.01 8316 122574
1980 1.24 11668 106314
1981 1.60 10588 151550
1982 1.97 12728 155391
1983 2.80 8902 315237
1984 3.57 9788 364844
1985 3.81 8661 440002
1986 4.10 9075 451831
1987 3.70 8237 450155
1988 1.85 7782 238523
1989 1.79 7163 249982
1990 1.88 7766 242164
1991 2.10 9267 227103
1992 3.23 11860 272847
1993 2.15 9733 220910
1994 2.33 10020 232746
1995 3.91 11752 333362
1996 4.62 13413 344584
1997 4.62 11282 409762
1998 4.35 11101 391863
1999 3.94 12337 319920
2000 4.73 14508 326493
2001 7.32 15973 458372
2002 7.83 20641 379730
2003 5.77 38031 151935
2004 5.91 56488 104745
2005 8.78 88928 98810
2006 10.03 123927 80959
2007 13.97 135463 103150
2008 11.00 136430 80677
2009 10.92 106365 102681
2010 12.07 107071 112757
2011 10.35 103418 100105
2012 9.59 90840 105608
2013 7.65 51169 149617
2014 8.82 49693 177545
2015 7.77 68672 113210
2016 11.98 81369 147257
2017 9.16 84773 108132
2018 9.81 130316 75286
2019 9.04 194633 46487
2020 14.39 157045 91672
2021 11.15 175016 63738
2022 8.52 178494 47765
2023 11.01 190529 57802
2024 10.41 159319 65397
2025 11.67 138542 84274

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
1.01
Mean
6.60
Median
5.91
Max
14.39
2020
Min
1.01
1979
Volatility
3.83
3.83
Rows Returned
47

Series Extremes

Largest Increase
5.35
2019 → 2020 · 59.18%
Largest Decrease
-3.24
2020 → 2021 · -22.52%

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.