| --- |
| license: other |
| license_name: public-domain-source-us-government |
| pretty_name: "US Macro Data: Labor" |
| language: |
| - en |
| tags: |
| - finance |
| - economics |
| - macroeconomics |
| - time-series |
| - fred |
| - labor |
| - quant |
| - backtesting |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: long |
| data_files: data/long.parquet |
| default: true |
| - config_name: wide_weekly |
| data_files: data/wide_weekly.parquet |
| - config_name: wide_monthly |
| data_files: data/wide_monthly.parquet |
| - config_name: wide_quarterly |
| data_files: data/wide_quarterly.parquet |
| - config_name: wide_annual |
| data_files: data/wide_annual.parquet |
| - config_name: wide_other |
| data_files: data/wide_other.parquet |
| --- |
| |
| # US macro data: Labor (595 series) |
|
|
| 595 labor series from US government sources, cleaned into one consistent format and ready for pandas. |
| This free package holds the **last 12 months** (2025-11-02 on) of each series' latest values. It is refreshed weekly. |
|
|
| ```python |
| import pandas as pd |
| df = pd.read_parquet("hf://datasets/FinzData/macro-labor/data/long.parquet") # series_id, date, value |
| wide = pd.read_parquet("hf://datasets/FinzData/macro-labor/data/wide_weekly.parquet") # one column per series |
| ``` |
|
|
| or `datasets.load_dataset("FinzData/macro-labor")`. Wide tables by frequency: `wide_weekly` (19 series), `wide_monthly` (473 series), `wide_quarterly` (70 series), `wide_annual` (32 series), `wide_other` (1 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("UNRATE") # full history, latest values |
| c.macro("UNRATE", vintage="first") # as first released |
| c.macro("UNRATE", as_of="2020-03-01") # exactly what was known on that date |
| c.macro_series(category="labor") # the catalogue for this category |
| ``` |
|
|
| ## Most-watched series in this package |
|
|
| | ID | Title | Units | Frequency | Full history from | |
| |---|---|---|---|---| |
| | `UNRATE` | Unemployment Rate | Percent | Monthly | 1948 | |
| | `PAYEMS` | All Employees, Total Nonfarm | Thousands of Persons | Monthly | 1939 | |
| | `CIVPART` | Labor Force Participation Rate | Percent | Monthly | 1948 | |
| | `ICSA` | Initial Claims | Number | Weekly, Ending Saturday | 1967 | |
| | `LES1252881600Q` | Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over | 1982-84 CPI Adjusted Dollars | Quarterly | 1979 | |
| | `CES0500000003` | Average Hourly Earnings of All Employees, Total Private | Dollars per Hour | Monthly | 2006 | |
| | `JTSJOL` | Job Openings: Total Nonfarm | Level in Thousands | Monthly | 2000 | |
| | `MANEMP` | All Employees, Manufacturing | Thousands of Persons | Monthly | 1939 | |
| | `U6RATE` | Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6) | Percent | Monthly | 1994 | |
| | `CCSA` | Continued Claims (Insured Unemployment) | Number | Weekly, Ending Saturday | 1967 | |
| | `LNS11300060` | Labor Force Participation Rate - 25-54 Yrs. | Percent | Monthly | 1948 | |
| | `OPHNFB` | Nonfarm Business Sector: Labor Productivity (Output per Hour) for All Workers | Index 2017=100 | Quarterly | 1947 | |
| | `TEMPHELPS` | All Employees, Temporary Help Services | Thousands of Persons | Monthly | 1990 | |
| | `UEMP27OV` | Number Unemployed for 27 Weeks & over | Thousands of Persons | Monthly | 1948 | |
| | `CLF16OV` | Civilian Labor Force Level | Thousands of Persons | Monthly | 1947 | |
| | `EMRATIO` | Employment-Population Ratio | Percent | Monthly | 1948 | |
| | `NROU` | Noncyclical Rate of Unemployment | Percent | Quarterly | 1949 | |
| | `UNEMPLOY` | Unemployment Level | Thousands of Persons | Monthly | 1948 | |
| | `CE16OV` | Employment Level | Thousands of Persons | Monthly | 1947 | |
| | `ECIWAG` | Employment Cost Index: Wages and Salaries: Private Industry Workers | Index Dec 2005=100 | Quarterly | 1980 | |
| | `LNS14000006` | Unemployment Rate - Black or African American | Percent | Monthly | 1972 | |
| | `LNS14024887` | Unemployment Rate - 16-24 Yrs. | Percent | Monthly | 1948 | |
| | `IC4WSA` | 4-Week Moving Average of Initial Claims | Number | Weekly, Ending Saturday | 1967 | |
| | `AHETPI` | Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private | Dollars per Hour | Monthly | 1964 | |
| | `CES9091000001` | All Employees, Federal | Thousands of Persons | Monthly | 1939 | |
|
|
| All 595 series: `series.csv`. Browse them at https://finzdata.com/macro/category/labor. |
|
|
| ## 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. |
|
|
