US state personal-income momentum intelligence (quarterly)

Name: US state personal-income momentum intelligence (quarterly)
Creator: US State Personal-Income Momentum Intelligence
License: https://www.bea.gov/help/terms-use
Keywords: income, macroeconomics, usa, united-states, quarterly, signals, rankings, ml-features

Commercial use OKFresh

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The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

State x quarter panel of personal-income momentum from BEA State Quarterly Personal Income (keyless via FRED fredgraph.csv, trailing 60 complete quarters): SAAR income levels, QoQ annualized / YoY / YoY acceleration, percentile-of-own-history growth and level scores (trailing 40 quarters), a documented 0-100 income-momentum index with per-quarter ranks and i1-i4 tiers, surge / cooling / record-high / preliminary flags, and the US national backdrop.

Source: US State Personal-Income Momentum Intelligence
Rows: 3,120
Columns: 25
Source cadence: Quarterly
Last refreshed: Sep 30, 2026
Theme: economy

Column	Type	Description
row_hash	string	Deterministic 16-hex sha256 over as_of, state_code, quarter, personal_income_m, income_momentum_index; identical input produces an identical hash.
as_of	string	Snapshot anchor: the last complete quarter present in all 52 series (YYYY-MM-DD).
state_code	string	USPS state code; 'DC' is the District of Columbia, 'US' the national aggregate row.
state_name	string	State / district / national name.
country_code	string	ISO alpha-3 join key; constant 'USA'.
quarter	string	Panel quarter label (YYYY-QN).
quarter_start	string	Quarter start date (YYYY-MM-DD) — the ISO date join key.
personal_income_m	float	Personal income, seasonally adjusted annual rate. (unit: millions USD/quarter)
income_qoq	float	Quarter-on-quarter change of SAAR personal income. (unit: ratio)
income_qoq_annualized	float	Annualized QoQ change: (1+qoq)^4 - 1. (unit: ratio)
income_yoy	float	Year-on-year change of SAAR personal income. (unit: ratio)
yoy_acceleration_pp	float	Change in the YoY growth rate vs four quarters earlier, in percentage points — the acceleration read. (unit: pp)
growth_score	float	Percentile of the current YoY within the state's own trailing 40 quarters of YoY values (100*(r-1)/(n-1), average ranks; null with <12 window observations or zero variance). (unit: 0-100)
level_score	float	Percentile of the current income level within the state's own trailing 40 quarters of levels (same documented formula). (unit: 0-100)
income_momentum_index	float	Documented 0-100 income-momentum index: 0.6 * growth_score + 0.4 * level_score; null when either leg is null. (unit: 0-100)
momentum_rank	integer	Per-quarter rank by income_momentum_index (1 = strongest; competition ranking, ties broken by state_code asc).
momentum_tier	string	i4_strong (>=75) / i3_healthy (>=50) / i2_soft (>=25) / i1_weak (<25).
surge_flag	boolean	True when income_momentum_index >= 75.
cooling_flag	boolean	True when income_momentum_index <= 25.
record_high_flag	boolean	True when the level exceeds every prior quarter (>=4 prior observations).
preliminary_flag	boolean	True for the as_of quarter — BEA's first estimate, revised in later releases.
us_pi_m	float	Quarter's US national personal income, SAAR (context column, replicated per row). (unit: millions USD/quarter)
us_pi_yoy	float	Quarter's US national personal-income YoY. (unit: ratio)
us_pi_qoq	float	Quarter's US national personal-income QoQ. (unit: ratio)
provenance_url	string	Exact fredgraph.csv source URL behind the row.

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

row_hash	as_of	state_code	state_name	country_code	quarter	quarter_start	personal_income_m	income_qoq	income_qoq_annualized	income_yoy	yoy_acceleration_pp	growth_score	level_score	income_momentum_index	momentum_rank	momentum_tier	surge_flag	cooling_flag	record_high_flag	preliminary_flag	us_pi_m	us_pi_yoy	us_pi_qoq	provenance_url
c73f2cdd0587718b	2026-04-01	AL	Alabama	USA	2011-Q3	2011-07-01	168,396.2	—	—	—	—	—	—	—	—	—	—	—	false	false	13,392,533.3	—	—	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
13ecb17ad6300bd5	2026-04-01	AL	Alabama	USA	2011-Q4	2011-10-01	169,008.6	0.004	0.015	—	—	—	—	—	—	—	—	—	false	false	13,458,333.3	—	0.005	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
42821208300ef1e0	2026-04-01	AL	Alabama	USA	2012-Q1	2012-01-01	170,803.5	0.011	0.043	—	—	—	—	—	—	—	—	—	false	false	13,720,400	—	0.019	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
fbb89169584008e3	2026-04-01	AL	Alabama	USA	2012-Q2	2012-04-01	172,121.3	0.008	0.031	—	—	—	—	—	—	—	—	—	false	false	13,851,833.3	—	0.01	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
fcbb682789a3e08e	2026-04-01	AL	Alabama	USA	2012-Q3	2012-07-01	170,392	-0.01	-0.04	0.012	—	—	—	—	—	—	—	—	false	false	13,811,833.3	0.031	-0.003	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
722b60b402a54bd0	2026-04-01	AL	Alabama	USA	2012-Q4	2012-10-01	174,807.4	0.026	0.108	0.034	—	—	—	—	—	—	—	—	true	false	14,287,100	0.062	0.034	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
c066e5af962d7034	2026-04-01	AL	Alabama	USA	2013-Q1	2013-01-01	172,756.5	-0.012	-0.046	0.011	—	—	—	—	—	—	—	—	false	false	13,904,866.7	0.013	-0.027	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
fb327c2775f56922	2026-04-01	AL	Alabama	USA	2013-Q2	2013-04-01	173,551.5	0.005	0.019	0.008	—	—	—	—	—	—	—	—	false	false	14,037,100	0.013	0.01	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
d7bbfb71026ea790	2026-04-01	AL	Alabama	USA	2013-Q3	2013-07-01	174,634.1	0.006	0.025	0.025	1.304	—	—	—	—	—	—	—	false	false	14,123,666.7	0.023	0.006	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT
c2ccdfee18f4d106	2026-04-01	AL	Alabama	USA	2013-Q4	2013-10-01	173,675.6	-0.005	-0.022	-0.006	-4.079	—	—	—	—	—	—	—	false	false	14,209,466.7	-0.005	0.006	https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT

Profiled Oct 1, 2026 from snapshot 20260930T185109Z-b09d60800cfa

Measured

Completeness: 92%
Rows: 3,120
Columns: 25
Columns with gaps: 13

Column	Missing	Distinct	Range	Distribution
row_hashvarchar	0%	3,689	—	0014c35c0fa335a11 0018b9d5590fa8221 001ca5d251940e5b1
as_ofvarchar	0%	1	—	2026-04-013,120
state_codevarchar	0%	57	—	AK60 AL60 AR60
state_namevarchar	0%	59	—	Alabama60 Alaska60 Arizona60
country_codevarchar	0%	1	—	USA3,120
quartervarchar	0%	53	—	2011-Q352 2011-Q452 2012-Q152
quarter_startvarchar	0%	58	—	2011-07-0152 2011-10-0152 2012-01-0152
personal_income_mdouble	0%	3,626	27,661 → 27,371,900median 236,771	64 outside 1st–99th percentile
income_qoqdouble	1.7%	2,958	-0.0886 → 0.1939median 0.0106	62 outside 1st–99th percentile
income_qoq_annualizeddouble	1.7%	2,677	-0.3101 → 1.03median 0.0431	62 outside 1st–99th percentile
income_yoydouble	6.7%	3,837	-0.0781 → 0.2543median 0.0476	60 outside 1st–99th percentile
yoy_acceleration_ppdouble	13.3%	2,266	-32.53 → 21.77median 0.1435	56 outside 1st–99th percentile
growth_scoredouble	25%	285	0 → 100median 64.1
level_scoredouble	18.3%	74	21.05 → 100median 100	25 outside 1st–99th percentile
income_momentum_indexdouble	25%	484	13.33 → 100median 78.46	23 outside 1st–99th percentile
momentum_rankbigint	25%	47	1 → 52median 23
momentum_tiervarchar	25%	4	—	i4_strong1,355 i3_healthy775 i2_soft198
surge_flagboolean	25%	2	—	true1,355 false985
cooling_flagboolean	25%	2	—	false2,328 true12
record_high_flagboolean	0%	2	—	true2,166 false954
preliminary_flagboolean	0%	2	—	false3,068 true52
us_pi_mdouble	0%	65	13,392,533 → 27,371,900median 18,002,667
us_pi_yoydouble	6.7%	60	-0.0258 → 0.1838median 0.0512
us_pi_qoqdouble	1.7%	53	-0.0503 → 0.1273median 0.0118
provenance_urlvarchar	0%	53	—	https://fred.stlouisfed.org/graph/fredgraph.csv?id=AKOTOT60 https://fred.stlouisfed.org/graph/fredgraph.csv?id=ALOTOT60 https://fred.stlouisfed.org/graph/fredgraph.csv?id=AROTOT60

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

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly").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/us_state_personal_income_intel/us_state_personal_income_quarterly

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

Cite this snapshot

Pinned to snapshot 20260930T185109Z-b09d60800cfa and its content hash, so readers get exactly the data you used.

APA

US State Personal-Income Momentum Intelligence. (2026). US state personal-income momentum intelligence (quarterly) [Data set, snapshot 20260930T185109Z-b09d60800cfa, sha256 b09d60800cfa]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly?snapshot=20260930T185109Z-b09d60800cfa

BibTeX

@misc{dz_us_state_personal_income_intel_us_state__b09d6080,
  title        = {{US state personal-income momentum intelligence (quarterly)}},
  author       = {{US State Personal-Income Momentum Intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/us_state_personal_income_intel/us_state_personal_income_quarterly?snapshot=20260930T185109Z-b09d60800cfa}},
  note         = {Snapshot 20260930T185109Z-b09d60800cfa, sha256 b09d60800cfa33f84289af8ec17b2388fb68908c8a6393557642fe5bba8da23f; accessed 2026-10-01}
}

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US state personal-income momentum intelligence (quarterly)

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