--- license: other license_name: public-domain-source-us-government pretty_name: "US Macro Data: Other" language: - en tags: - finance - economics - macroeconomics - time-series - fred - other - quant - backtesting size_categories: - n<1K 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 - config_name: wide_semiannual data_files: data/wide_semiannual.parquet --- # US macro data: Other (60 series) 60 other 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-other/data/long.parquet") # series_id, date, value wide = pd.read_parquet("hf://datasets/FinzData/macro-other/data/wide_monthly.parquet") # one column per series ``` or `datasets.load_dataset("FinzData/macro-other")`. Wide tables by frequency: `wide_monthly` (42 series), `wide_quarterly` (14 series), `wide_semiannual` (4 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("CUURX000SEHF01") # full history, latest values c.macro("CUURX000SEHF01", vintage="first") # as first released c.macro("CUURX000SEHF01", as_of="2020-03-01") # exactly what was known on that date c.macro_series(category="other") # the catalogue for this category ``` ## Most-watched series in this package | ID | Title | Units | Frequency | Full history from | |---|---|---|---|---| | `CUURX000SEHF01` | Consumer Price Index for All Urban Consumers: Electricity in Size Class B/C | Index Dec 1997=100 | Monthly | 1997 | | `CUUS0100SEHF01` | Consumer Price Index for All Urban Consumers: Electricity in Northeast | Index 1982-1984=100 | Semiannual | 1984 | | `CUUS0300SEHF01` | Consumer Price Index for All Urban Consumers: Electricity in South | Index 1982-1984=100 | Semiannual | 1984 | | `CUUSA000SEHF01` | Consumer Price Index for All Urban Consumers: Electricity in Size Class A | Index Dec 1986=100 | Semiannual | 1987 | | `CUUSX000SEHF01` | Consumer Price Index for All Urban Consumers: Electricity in Size Class B/C | Index Dec 1997=100 | Semiannual | 1998 | | `IPN221112NQ` | Industrial Production: Utilities: Fossil Fuel Electric Power Generation (NAICS = 221112) | Index 2017=100 | Quarterly | 2001 | | `IPN221112SQ` | Industrial Production: Utilities: Fossil Fuel Electric Power Generation (NAICS = 221112) | Index 2017=100 | Quarterly | 2001 | | `IPN221113NQ` | Industrial Production: Utilities: Nuclear Electric Power Generation (NAICS = 221113) | Index 2017=100 | Quarterly | 1972 | | `IPN221114T8SQ` | Industrial Production: Utilities: Renewables and Other Electric Power Generation (NAICS = 221114-8) | Index 2017=100 | Quarterly | 2001 | | `IPN22112CNQ` | Industrial Production: Utilities: Commercial and Other Electricity Sales (NAICS = 22112pt.) | Index 2017=100 | Quarterly | 1972 | | `IPN22112CSQ` | Industrial Production: Utilities: Commercial and Other Electricity Sales (NAICS = 22112pt.) | Index 2017=100 | Quarterly | 1972 | | `IPN22112MSQ` | Industrial Production: Utilities: Industrial Electricity Sales (NAICS = 22112pt.) | Index 2017=100 | Quarterly | 1972 | | `IPN22112RSQ` | Industrial Production: Utilities: Residential Electricity Sales (NAICS = 22112pt.) | Index 2017=100 | Quarterly | 1972 | | `PCU221122221122413` | Producer Price Index by Industry: Electric Power Distribution: Residential Electric Power for East North Central Census Division | Index Dec 1990=100 | Monthly | 1990 | | `PCU221122221122415` | Producer Price Index by Industry: Electric Power Distribution: Residential Electric Power for South Atlantic Census Division | Index Dec 1990=100 | Monthly | 1990 | | `PRS31006022` | Manufacturing, Durable Goods Sector: Average Weekly Hours for All Workers | Percent Change at Annual Rate | Quarterly | 1987 | | `PRS31006151` | Manufacturing, Durable Goods Sector: Real Hourly Compensation for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 | | `PRS32006022` | Manufacturing, Nondurable Goods Sector: Average Weekly Hours for All Workers | Percent Change at Annual Rate | Quarterly | 1987 | | `PRS32006041` | Manufacturing, Nondurable Goods Sector: Real Sectoral Output for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 | | `PRS88003022` | Nonfinancial Corporations Sector: Average Weekly Hours for Employees | Percent Change at Annual Rate | Quarterly | 1947 | | `REV2211TPSA` | Total Revenue for 2211: Electric Power Generation, Transmission and Distribution, Establishments Subject to Federal Income Tax | Percent Change | Quarterly | 2010 | | `SMU01000004322110001` | All Employees: Transportation and Utilities: Electric Power Generation, Transmission and Distribution in Alabama | Thousands of Persons | Monthly | 1990 | | `SMU01000004322110001SA` | All Employees: Transportation and Utilities: Electric Power Generation, Transmission and Distribution in Alabama | Thousands of Persons | Monthly | 1990 | | `SMU06000004322110001` | All Employees: Transportation and Utilities: Electric Power Generation, Transmission and Distribution in California | Thousands of Persons | Monthly | 1990 | | `SMU06000004322110001SA` | All Employees: Transportation and Utilities: Electric Power Generation, Transmission and Distribution in California | Thousands of Persons | Monthly | 1990 | All 60 series: `series.csv`. Browse them at https://finzdata.com/macro/category/other. ## More from FinzData - Every macro category: https://huggingface.co/FinzData ยท 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.