| --- |
| license: other |
| license_name: public-domain-source-us-government |
| pretty_name: "US Macro Data: Production" |
| language: |
| - en |
| tags: |
| - finance |
| - economics |
| - macroeconomics |
| - time-series |
| - fred |
| - production |
| - quant |
| - backtesting |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: long |
| data_files: data/long.parquet |
| default: true |
| - config_name: wide_monthly |
| data_files: data/wide_monthly.parquet |
| - config_name: wide_quarterly |
| data_files: data/wide_quarterly.parquet |
| --- |
| |
| # 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** (2025-11-03 on) of each series' latest values. It is refreshed weekly. |
|
|
| ```python |
| 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: |
|
|
| ```python |
| 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 |
| - Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data |
| - Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest |
| - Pricing (history bundles from $195 once): https://finzdata.com/pricing |
| - Python client (open source): https://github.com/FinzData/finzdata-python |
|
|
| Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. |
| Data for research, not investment advice. |
|
|
