Blame for README.md

---
license: other
license_name: public-domain-source-us-government
pretty_name: "US Macro Data: Productivity"
language:
- en
tags:
- finance
- economics
- macroeconomics
- time-series
- fred
- productivity
- quant
- backtesting
size_categories:
- n<1K
configs:
- config_name: long
  data_files: data/long.parquet
  default: true
- config_name: wide_quarterly
  data_files: data/wide_quarterly.parquet
---

# US macro data: Productivity (137 series)

137 productivity 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-productivity/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-productivity/data/wide_quarterly.parquet")  # one column per series
```

or `datasets.load_dataset("FinzData/macro-productivity")`. Wide tables by frequency: `wide_quarterly` (137 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("PRS85006152")                        # full history, latest values
c.macro("PRS85006152", vintage="first")       # as first released
c.macro("PRS85006152", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="productivity")          # the catalogue for this category
```

## Most-watched series in this package

| ID | Title | Units | Frequency | Full history from |
|---|---|---|---|---|
| `PRS85006152` | Nonfarm Business Sector: Real Hourly Compensation for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `RPSGENAITSIND10` | Generative Artificial Intelligence, Time Savings: Finance and Insurance | Percent | Quarterly | 2024 |
| `PRS85006101` | Nonfarm Business Sector: Hourly Compensation for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1948 |
| `PRS85006151` | Nonfarm Business Sector: Real Hourly Compensation for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1948 |
| `PRS84006032` | Business Sector: Hours Worked for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS30006032` | Manufacturing Sector: Hours Worked for All Workers | Percent Change at Annual Rate | Quarterly | 1987 |
| `PRS84006092` | Business Sector: Labor Productivity (Output per Hour) for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS85006102` | Nonfarm Business Sector: Hourly Compensation for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS30006151` | Manufacturing Sector: Real Hourly Compensation for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 |
| `PRS84006162` | Business Sector: Output per Worker for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS85006161` | Nonfarm Business Sector: Output per Worker for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1948 |
| `RPSGENAITSIND4` | Generative Artificial Intelligence, Time Savings: Manufacturing | Percent | Quarterly | 2024 |
| `RPSGENAITSIND9` | Generative Artificial Intelligence, Time Savings: Information | Percent | Quarterly | 2024 |
| `RPSGENAITSOCC3` | Generative Artificial Intelligence, Time Savings: Computer and Mathematical Occupations | Percent | Quarterly | 2024 |
| `PRS30006011` | Manufacturing Sector: Employment for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 |
| `PRS30006021` | Manufacturing Sector: Average Weekly Hours for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 |
| `PRS31006011` | Manufacturing, Durable Goods Sector: Employment for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 |
| `PRS85006162` | Nonfarm Business Sector: Output per Worker for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS88003091` | Nonfinancial Corporations Sector: Labor Productivity (Output per Hour) for Employees | Percent Change from Quarter One Year Ago | Quarterly | 1948 |
| `RPSGENAITSIND12` | Generative Artificial Intelligence, Time Savings: Professional, Scientific, and Technical Services | Percent | Quarterly | 2024 |
| `PRS30006161` | Manufacturing Sector: Output per Worker for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1988 |
| `PRS30006162` | Manufacturing Sector: Output per Worker for All Workers | Percent Change at Annual Rate | Quarterly | 1987 |
| `PRS84006102` | Business Sector: Hourly Compensation for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |
| `PRS84006151` | Business Sector: Real Hourly Compensation for All Workers | Percent Change from Quarter One Year Ago | Quarterly | 1948 |
| `PRS84006152` | Business Sector: Real Hourly Compensation for All Workers | Percent Change at Annual Rate | Quarterly | 1947 |

All 137 series: `series.csv`. Browse them at https://finzdata.com/macro/category/productivity.

## 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.