US total construction spending, monthly

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Monthly US total construction spending intelligence panel, 1993-01 onward: value of construction put in place, total (millions of U.S. dollars, seasonally adjusted annual rate; FRED TTLCONS, U.S. Census Bureau Value of Construction Put in Place Survey (C30), redistributed keyless via FRED fredgraph.csv). Carries 1-month and 12-month changes (levels and percents), the 3-month annualized percent change (the building-momentum read), and a contraction_flag marking months construction put in place is smaller than a year earlier. One row per month x USA; in-window nulls fail loudly, never imputed. Who joins this: B2B sales teams join pipeline and bookings on year_month + country_code and use the construction-demand regime features; building-materials and equipment retailers use spend_3m_ann_pct as the demand-momentum gauge.

Source: US Construction Spending Intelligence (FRED, keyless)
Rows: 403
Columns: 13
Source cadence: Monthly
Last refreshed: Sep 30, 2026
Theme: economy

Column	Type	Description
month_date	date	First day of the observation month (TTLCONS is monthly, month-start). (unit: date)
year_month	string	Calendar month as YYYY-MM (panel join key). (unit: string)
country	string	Country name (shared normalization layer). (unit: string)
country_code	string	ISO 3166-1 alpha-3 country code (USA). (unit: string)
spend_m	float	Value of construction put in place, total (FRED TTLCONS; U.S. Census Bureau Value of Construction Put in Place Survey (C30), private + public). (unit: millions of U.S. dollars, SAAR)
spend_b	float	Same construction spending in billions of U.S. dollars (spend_m / 1000). (unit: billions of U.S. dollars, SAAR)
spend_mom_m	float	1-month change in construction spending (null for the first panel month). (unit: millions of U.S. dollars)
spend_mom_pct	float	1-month percent change in construction spending (null for the first panel month). (unit: percent)
spend_yoy_m	float	12-month change in construction spending (null for the first panel year). (unit: millions of U.S. dollars)
spend_yoy_pct	float	12-month percent change in construction spending (null for the first panel year). (unit: percent)
spend_3m_ann_pct	float	3-month annualized percent change in construction spending — the building-momentum read (null for the first 3 panel months). (unit: percent)
contraction_flag	integer	1 when 12-month construction spending growth is negative (less put in place than a year earlier), else 0 (warm-up months carry 0: no YoY basis). (unit: flag)
row_hash	string	Deterministic 16-hex sha256 of year_month + the spending level (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

month_date	year_month	country	country_code	spend_m	spend_b	spend_mom_m	spend_mom_pct	spend_yoy_m	spend_yoy_pct	spend_3m_ann_pct	row_hash
1993-01-01	1993-01	United States	USA	458,080	458.08	—	—	—	—	—	9dadedb98e96441a
1993-02-01	1993-02	United States	USA	462,967	462.967	4,887	1.067	—	—	—	47d50e41afa9fb30
1993-03-01	1993-03	United States	USA	458,399	458.399	-4,568	-0.987	—	—	—	9a8acba79b740c7c
1993-04-01	1993-04	United States	USA	469,425	469.425	11,026	2.405	—	—	10.281	eab2d2bd95fed1eb
1993-05-01	1993-05	United States	USA	468,998	468.998	-427	-0.091	—	—	5.313	b89efd9e032cf5e6
1993-06-01	1993-06	United States	USA	480,247	480.247	11,249	2.399	—	—	20.471	c0c05b1012604e98
1993-07-01	1993-07	United States	USA	483,571	483.571	3,324	0.692	—	—	12.61	6da0c5b88fdb5ae8
1993-08-01	1993-08	United States	USA	491,494	491.494	7,923	1.638	—	—	20.612	9eba6bc9d0f790d2
1993-09-01	1993-09	United States	USA	497,297	497.297	5,803	1.181	—	—	14.975	f19c101d5b4ccd69
1993-10-01	1993-10	United States	USA	492,823	492.823	-4,474	-0.9	—	—	7.876	7329592a46830698

Profiled Sep 30, 2026 from snapshot

Measured

Completeness: 99.4%
Rows: 403
Columns: 13
Columns with gaps: 5

Rows per yearmonth_date · 1993–2026 · 34 years

19932026

Column	Missing	Distinct	Range	Distribution
month_datedate	0%	364	Jan 1, 1993 → Jul 1, 2026	—
year_monthvarchar	0%	386	—	1993-011 1993-021 1993-031
countryvarchar	0%	1	—	United States403
country_codevarchar	0%	1	—	USA403
spend_mdouble	0%	421	458,080 → 2,265,811median 999,139	10 outside 1st–99th percentile
spend_bdouble	0%	425	458.08 → 2,266median 999.14	10 outside 1st–99th percentile
spend_mom_mdouble	0.25%	313	-42,720 → 45,412median 4,483	10 outside 1st–99th percentile
spend_mom_pctdouble	0.25%	332	-3.73 → 4.69median 0.4232	10 outside 1st–99th percentile
spend_yoy_mdouble	3%	475	-184,568 → 298,789median 56,244	8 outside 1st–99th percentile
spend_yoy_pctdouble	3%	405	-17.48 → 18.51median 6.21	8 outside 1st–99th percentile
spend_3m_ann_pctdouble	0.74%	350	-27.29 → 32.11median 5.81	8 outside 1st–99th percentile
contraction_flagbigint	0%	2	0 → 1median 0
row_hashvarchar	0%	428	—	01481730de2f438e1 01487b28cc8c70d61 01a41211556754a51

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/fred_construction_intel/us_construction_spending_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fred_construction_intel/us_construction_spending_monthly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/fred_construction_intel/us_construction_spending_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260930T150002Z-618e29964af5 and its content hash, so readers get exactly the data you used.

APA

US Construction Spending Intelligence (FRED, keyless). (2026). US total construction spending, monthly [Data set, snapshot 20260930T150002Z-618e29964af5, sha256 618e29964af5]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/fred_construction_intel/us_construction_spending_monthly?snapshot=20260930T150002Z-618e29964af5

BibTeX

@misc{dz_fred_construction_intel_us_construction__618e2996,
  title        = {{US total construction spending, monthly}},
  author       = {{US Construction Spending Intelligence (FRED, keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/fred_construction_intel/us_construction_spending_monthly?snapshot=20260930T150002Z-618e29964af5}},
  note         = {Snapshot 20260930T150002Z-618e29964af5, sha256 618e29964af5fbf603b4d533743e5e5f6a83bf6d9acc508698810d263ef353a7; accessed 2026-10-01}
}

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US total construction spending, monthly

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