Dataset Viewer
Auto-converted to Parquet Duplicate
series_id
large_stringclasses
120 values
date
date32
value
float64
-23.6
2.4M
A31SNO
2025-11-01
27,046
A31SNO
2025-12-01
27,677
A31SNO
2026-01-01
28,004
A31SNO
2026-02-01
28,694
A31SNO
2026-03-01
28,927
A31SNO
2026-04-01
29,705
A31SNO
2026-05-01
30,970
A31SNO
2026-06-01
31,548
A31SNO
2026-07-01
32,222
A31SNO
2026-08-01
32,604
A32SNO
2025-11-01
42,213
A32SNO
2025-12-01
42,574
A32SNO
2026-01-01
42,565
A32SNO
2026-02-01
43,030
A32SNO
2026-03-01
43,025
A32SNO
2026-04-01
44,822
A32SNO
2026-05-01
45,464
A32SNO
2026-06-01
45,420
A32SNO
2026-07-01
45,609
A32SNO
2026-08-01
44,985
A33ATI
2025-11-01
5,700
A33ATI
2025-12-01
5,698
A33ATI
2026-01-01
5,652
A33ATI
2026-02-01
5,676
A33ATI
2026-03-01
5,644
A33ATI
2026-04-01
5,588
A33ATI
2026-05-01
5,555
A33ATI
2026-06-01
5,589
A33ATI
2026-07-01
5,589
A33ATI
2026-08-01
5,696
A33ENO
2025-11-01
4,124
A33ENO
2025-12-01
4,244
A33ENO
2026-01-01
4,218
A33ENO
2026-02-01
4,029
A33ENO
2026-03-01
4,364
A33ENO
2026-04-01
4,713
A33ENO
2026-05-01
4,575
A33ENO
2026-06-01
5,091
A33ENO
2026-07-01
5,596
A33ENO
2026-08-01
5,174
A33SNO
2025-11-01
40,170
A33SNO
2025-12-01
40,255
A33SNO
2026-01-01
40,501
A33SNO
2026-02-01
41,453
A33SNO
2026-03-01
41,963
A33SNO
2026-04-01
42,516
A33SNO
2026-05-01
43,740
A33SNO
2026-06-01
44,307
A33SNO
2026-07-01
44,980
A33SNO
2026-08-01
45,481
A34HNO
2025-11-01
5,288
A34HNO
2025-12-01
5,293
A34HNO
2026-01-01
5,382
A34HNO
2026-02-01
5,348
A34HNO
2026-03-01
5,406
A34HNO
2026-04-01
5,405
A34HNO
2026-05-01
5,579
A34HNO
2026-06-01
5,668
A34HNO
2026-07-01
5,711
A34HNO
2026-08-01
5,769
A34SNO
2025-11-01
27,015
A34SNO
2025-12-01
27,945
A34SNO
2026-01-01
28,163
A34SNO
2026-02-01
28,559
A34SNO
2026-03-01
29,926
A34SNO
2026-04-01
29,813
A34SNO
2026-05-01
30,134
A34SNO
2026-06-01
31,073
A34SNO
2026-07-01
30,873
A34SNO
2026-08-01
30,868
A34SVS
2025-11-01
32,021
A34SVS
2025-12-01
32,273
A34SVS
2026-01-01
32,799
A34SVS
2026-02-01
33,126
A34SVS
2026-03-01
33,317
A34SVS
2026-04-01
33,525
A34SVS
2026-05-01
33,853
A34SVS
2026-06-01
34,691
A34SVS
2026-07-01
34,230
A34SVS
2026-08-01
34,233
A35BNO
2025-11-01
2,321
A35BNO
2025-12-01
2,365
A35BNO
2026-01-01
2,373
A35BNO
2026-02-01
2,282
A35BNO
2026-03-01
2,154
A35BNO
2026-04-01
2,234
A35BNO
2026-05-01
2,267
A35BNO
2026-06-01
2,312
A35BNO
2026-07-01
2,323
A35BNO
2026-08-01
2,251
A35SNO
2025-11-01
18,172
A35SNO
2025-12-01
18,520
A35SNO
2026-01-01
18,349
A35SNO
2026-02-01
18,172
A35SNO
2026-03-01
18,403
A35SNO
2026-04-01
18,435
A35SNO
2026-05-01
18,505
A35SNO
2026-06-01
18,827
A35SNO
2026-07-01
18,822
A35SNO
2026-08-01
19,020
End of preview. Expand in Data Studio

US macro data: Production (120 series)

120 production series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-10-26 on) of each series' latest values. It is refreshed weekly.

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

or datasets.load_dataset("FinzData/macro-production"). Wide tables by frequency: wide_monthly (105 series), wide_quarterly (15 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("INDPRO")                        # full history, latest values
c.macro("INDPRO", vintage="first")       # as first released
c.macro("INDPRO", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="production")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
INDPRO Industrial Production: Total Index Index 2017=100 Monthly 1919
IPMAN Industrial Production: Manufacturing (NAICS) Index 2017=100 Monthly 1972
TCU Capacity Utilization: Total Index Percent Monthly 1967
DGORDER Manufacturers' New Orders: Durable Goods Millions of Dollars Monthly 1958
DAUPSA Domestic Auto Production Thousands of Units Monthly 1993
MCUMFN Capacity Utilization: Manufacturing (NAICS) Percent Monthly 1972
OUTMS Manufacturing Sector: Real Sectoral Output for All Workers Index 2017=100 Quarterly 1949
C307RX1Q020SBEA Real private fixed investment: Nonresidential: Structures: Manufacturing Billions of Chained 2017 Dollars Quarterly 1995
MNFCTRIRSA Manufacturers: Inventories to Sales Ratio Ratio Monthly, End of Period 1992
IPG3344S Industrial Production: Manufacturing: Durable Goods: Semiconductor and Other Electronic Component (NAICS = 3344) Index 2017=100 Monthly 1972
A34SNO Manufacturers' New Orders: Computers and Electronic Products Millions of Dollars Monthly 1992
IPG3361T3S Industrial Production: Manufacturing: Durable Goods: Motor Vehicles and Parts (NAICS = 3361-3) Index 2017=100 Monthly 1972
IPMANSICS Industrial Production: Manufacturing (SIC) Index 2017=100 Monthly 1919
GOMA Gross Output by Industry: Manufacturing Billions of Dollars Quarterly 2005
CAPUTLG3311A2S Capacity Utilization: Manufacturing: Durable Goods: Iron and Steel Products (NAICS = 3311,2) Percent Monthly 1972
ADXTNO Manufacturers' New Orders: Durable Goods Excluding Transportation Millions of Dollars Monthly 1992
BSCICP02USM460S Business Tendency Surveys (Manufacturing): Confidence Indicators: Composite Indicators: National Indicator for United States Percent Monthly 1950
C307RC1Q027SBEA Private fixed investment: Nonresidential: Structures: Manufacturing Billions of Dollars Quarterly 1958
IPG325S Industrial Production: Manufacturing: Nondurable Goods: Chemical (NAICS = 325) Index 2017=100 Monthly 1972
ACOGNO Manufacturers' New Orders: Consumer Goods Millions of Dollars Monthly 1992
IPB50001N Industrial Production: Total Index Index 2017=100 Monthly 1919
IPN3311A2RS Industrial Production: Manufacturing: Durable Goods: Raw Steel (NAICS = 3311,2pt.) Index 2017=100 Monthly 1972
RVAMA Real Value Added by Industry: Manufacturing Billions of Chained 2017 Dollars Quarterly 2005
IPG334S Industrial Production: Manufacturing: Durable Goods: Computer and Electronic Product (NAICS = 334) Index 2017=100 Monthly 1972
IPUTIL Industrial Production: Utilities: Electric and Gas Utilities (NAICS = 2211,2) Index 2017=100 Monthly 1939

All 120 series: series.csv. Browse them at https://finzdata.com/macro/category/production.

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.

Downloads last month
-