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series_id
large_stringclasses
960 values
date
date32
value
float64
-5.82
2.38M
A191RI1Q225SBEA
2026-01-01
3.2
A191RI1Q225SBEA
2026-04-01
6.1
A191RI1Q225SBEA
2026-07-01
2.2
ALSTHPI
2026-01-01
540.7
ALSTHPI
2026-04-01
548.12
ARSTHPI
2026-01-01
477.36
ARSTHPI
2026-04-01
479.22
ATNHPIUS12420Q
2026-01-01
501.68
ATNHPIUS12420Q
2026-04-01
506.31
ATNHPIUS14260Q
2026-01-01
508.49
ATNHPIUS14260Q
2026-04-01
514.91
ATNHPIUS14454Q
2026-01-01
498.13
ATNHPIUS14454Q
2026-04-01
502.13
ATNHPIUS14500Q
2026-01-01
478.97
ATNHPIUS14500Q
2026-04-01
471.64
ATNHPIUS15980Q
2026-01-01
411.78
ATNHPIUS15980Q
2026-04-01
403.2
ATNHPIUS16700Q
2026-01-01
628.38
ATNHPIUS16700Q
2026-04-01
637.78
ATNHPIUS16740Q
2026-01-01
411.21
ATNHPIUS16740Q
2026-04-01
412.42
ATNHPIUS17140Q
2026-01-01
314.85
ATNHPIUS17140Q
2026-04-01
318.35
ATNHPIUS17820Q
2026-01-01
399.42
ATNHPIUS17820Q
2026-04-01
400.51
ATNHPIUS18140Q
2026-01-01
346.1
ATNHPIUS18140Q
2026-04-01
351.14
ATNHPIUS19124Q
2026-01-01
427.83
ATNHPIUS19124Q
2026-04-01
426.45
ATNHPIUS19740Q
2026-01-01
495.84
ATNHPIUS19740Q
2026-04-01
492.5
ATNHPIUS19804Q
2026-01-01
296.06
ATNHPIUS19804Q
2026-04-01
302.95
ATNHPIUS20500Q
2026-01-01
397.55
ATNHPIUS20500Q
2026-04-01
398.18
ATNHPIUS21340Q
2026-01-01
310.68
ATNHPIUS21340Q
2026-04-01
312.05
ATNHPIUS23104Q
2026-01-01
399.97
ATNHPIUS23104Q
2026-04-01
400.37
ATNHPIUS26420Q
2026-01-01
410.91
ATNHPIUS26420Q
2026-04-01
414.19
ATNHPIUS26900Q
2026-01-01
315.71
ATNHPIUS26900Q
2026-04-01
319.61
ATNHPIUS27260Q
2026-01-01
464.82
ATNHPIUS27260Q
2026-04-01
458.94
ATNHPIUS28140Q
2026-01-01
373.79
ATNHPIUS28140Q
2026-04-01
376.32
ATNHPIUS28940Q
2026-01-01
438.8
ATNHPIUS28940Q
2026-04-01
444.12
ATNHPIUS29820Q
2026-01-01
375.42
ATNHPIUS29820Q
2026-04-01
384.82
ATNHPIUS31084Q
2026-01-01
558.88
ATNHPIUS31084Q
2026-04-01
557.38
ATNHPIUS31140Q
2026-01-01
330.79
ATNHPIUS31140Q
2026-04-01
336.5
ATNHPIUS31540Q
2026-01-01
364.52
ATNHPIUS31540Q
2026-04-01
376.08
ATNHPIUS32820Q
2026-01-01
278.6
ATNHPIUS32820Q
2026-04-01
283.35
ATNHPIUS33124Q
2026-01-01
670.57
ATNHPIUS33124Q
2026-04-01
666.21
ATNHPIUS33460Q
2026-01-01
362.6
ATNHPIUS33460Q
2026-04-01
367.67
ATNHPIUS34980Q
2026-01-01
484.71
ATNHPIUS34980Q
2026-04-01
485.29
ATNHPIUS35004Q
2026-01-01
500.4
ATNHPIUS35004Q
2026-04-01
510.44
ATNHPIUS36084Q
2026-01-01
478.32
ATNHPIUS36084Q
2026-04-01
456
ATNHPIUS36540Q
2026-01-01
344.16
ATNHPIUS36540Q
2026-04-01
348.56
ATNHPIUS36740Q
2026-01-01
459.14
ATNHPIUS36740Q
2026-04-01
457.07
ATNHPIUS37964Q
2026-01-01
414.88
ATNHPIUS37964Q
2026-04-01
421.68
ATNHPIUS38060Q
2026-01-01
518.97
ATNHPIUS38060Q
2026-04-01
517.12
ATNHPIUS38300Q
2026-01-01
332.95
ATNHPIUS38300Q
2026-04-01
335.98
ATNHPIUS38900Q
2026-01-01
451.71
ATNHPIUS38900Q
2026-04-01
455.85
ATNHPIUS39580Q
2026-01-01
367.54
ATNHPIUS39580Q
2026-04-01
367.16
ATNHPIUS39900Q
2026-01-01
403.73
ATNHPIUS39900Q
2026-04-01
413.5
ATNHPIUS40060Q
2026-01-01
394.46
ATNHPIUS40060Q
2026-04-01
399.26
ATNHPIUS40140Q
2026-01-01
500.03
ATNHPIUS40140Q
2026-04-01
501.05
ATNHPIUS40380Q
2026-01-01
308.79
ATNHPIUS40380Q
2026-04-01
320.3
ATNHPIUS40900Q
2026-01-01
410.9
ATNHPIUS40900Q
2026-04-01
408.95
ATNHPIUS41180Q
2026-01-01
319.33
ATNHPIUS41180Q
2026-04-01
323.47
ATNHPIUS41620Q
2026-01-01
493.41
ATNHPIUS41620Q
2026-04-01
497.51
ATNHPIUS41700Q
2026-01-01
376.61
ATNHPIUS41700Q
2026-04-01
378.45
ATNHPIUS41740Q
2026-01-01
571.56
End of preview. Expand in Data Studio

US macro data: Inflation (960 series)

960 inflation series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-inflation/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-inflation/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-inflation"). Wide tables by frequency: wide_daily (9 series), wide_weekly (5 series), wide_monthly (845 series), wide_quarterly (98 series), wide_semiannual (3 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("CPIAUCSL")                        # full history, latest values
c.macro("CPIAUCSL", vintage="first")       # as first released
c.macro("CPIAUCSL", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="inflation")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
CPIAUCSL Consumer Price Index for All Urban Consumers: All Items in U.S. City Average Index 1982-1984=100 Monthly 1947
DFII10 Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed Percent Daily 2003
T10YIE 10-Year Breakeven Inflation Rate Percent Daily 2003
T5YIE 5-Year Breakeven Inflation Rate Percent Daily 2003
PCEPI Personal Consumption Expenditures: Chain-type Price Index Index 2017=100 Monthly 1959
CPILFESL Consumer Price Index for All Urban Consumers: All Items Less Food and Energy in U.S. City Average Index 1982-1984=100 Monthly 1957
T5YIFR 5-Year, 5-Year Forward Inflation Expectation Rate Percent Daily 2003
CORESTICKM159SFRBATL Sticky Price Consumer Price Index less Food and Energy Percent Change from Year Ago Monthly 1967
CPIAUCNS Consumer Price Index for All Urban Consumers: All Items in U.S. City Average Index 1982-1984=100 Monthly 1913
PPIACO Producer Price Index by Commodity: All Commodities Index 1982=100 Monthly 1913
DFII5 Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed Percent Daily 2003
DFII30 Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed Percent Daily 2010
CUUR0000SA0R Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average Index 1982-1984=100 Monthly 1913
CPIMEDNS Consumer Price Index for All Urban Consumers: Medical Care in U.S. City Average Index 1982-1984=100 Monthly 1935
CUSR0000SETA02 Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average Index 1982-1984=100 Monthly 1953
GDPDEF Gross Domestic Product: Implicit Price Deflator Index 2017=100 Quarterly 1947
PCU325211325211 Producer Price Index by Industry: Plastics Material and Resin Manufacturing Index Dec 1980=100 Monthly 1976
USSTHPI All-Transactions House Price Index for the United States Index 1980:Q1=100 Quarterly 1975
WPUSI012011 Producer Price Index by Commodity: Special Indexes: Construction Materials Index 1982=100 Monthly 1947
EXPINF1YR 1-Year Expected Inflation Percent Monthly 1982
MEDCPIM158SFRBCLE Median Consumer Price Index Percent Change at Annual Rate Monthly 1983
PCUOMFGOMFG Producer Price Index by Industry: Total Manufacturing Industries Index Dec 1984=100 Monthly 1984
WPU0911 Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Wood Pulp Index 1982=100 Monthly 1926
WPU101707 Producer Price Index by Commodity: Metals and Metal Products: Cold Rolled Steel Sheet and Strip Index Jun 1982=100 Monthly 1982
CUSR0000SAF11 Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average Index 1982-1984=100 Monthly 1952

All 960 series: series.csv. Browse them at https://finzdata.com/macro/category/inflation.

More from FinzData

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.

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