US Macro Monthly
Monthly US economic indicators: CPI and core CPI (index), PCE price index, unemployment rate, nonfarm payrolls, M2 money supply, industrial production, retail sales, housing starts, and consumer sentiment. Seasonally adjusted where published that way.
US Macro Monthly is a free dataset by Aethereal with 1,293 rows and 11 columns covering 1919-01-01 to 2026-09-01, updated daily at 01:15 UTC and available as CSV and Parquet at https://dataset.aethereal.top/datasets/us-macro-monthly.
Load it in Python
import pandas as pd
df = pd.read_csv("https://dataset.aethereal.top/files/us-macro-monthly.csv")
# or, faster for large files (needs pyarrow):
# df = pd.read_parquet("https://dataset.aethereal.top/files/us-macro-monthly.parquet")
print(df.head())Questions about this dataset
What is in the US Macro Monthly dataset?
Monthly US economic indicators: CPI and core CPI (index), PCE price index, unemployment rate, nonfarm payrolls, M2 money supply, industrial production, retail sales, housing starts, and consumer sentiment. Seasonally adjusted where published that way. It has 11 columns: date, cpi, core_cpi, pce_price_index, unemployment_pct, nonfarm_payrolls_k, m2_billions, industrial_production, retail_sales_m, housing_starts_k, consumer_sentiment.
How often is US Macro Monthly updated?
Daily at 01:15 UTC. It currently has 1,293 rows and was last updated on 2026-10-21. It covers 1919-01-01 to 2026-09-01.
How do I download US Macro Monthly?
Download it for free, without an account, as CSV from https://dataset.aethereal.top/files/us-macro-monthly.csv or as Parquet from https://dataset.aethereal.top/files/us-macro-monthly.parquet. AI assistants can also query it through the MCP server at https://dataset.aethereal.top/mcp.
Can I use US Macro Monthly in my project?
License: Free for research and education.
How to cite
Aethereal (2026). US Macro Monthly [Data set]. Aethereal Data. https://dataset.aethereal.top/datasets/us-macro-monthly. Accessed 2026-10-21.
Columns
| Name | Type | Description |
|---|---|---|
| date | date | First day of the month. |
| cpi | number | CPI, all urban consumers, index 1982-84=100. |
| core_cpi | number | CPI less food and energy, index. |
| pce_price_index | number | PCE price index, 2017=100. |
| unemployment_pct | number | Unemployment rate, percent. |
| nonfarm_payrolls_k | number | Nonfarm payrolls, thousands. |
| m2_billions | number | M2 money stock, billions of USD. |
| industrial_production | number | Industrial production index, 2017=100. |
| retail_sales_m | number | Retail sales, millions of USD. |
| housing_starts_k | number | Housing starts, thousands, annual rate. |
| consumer_sentiment | number | University of Michigan consumer sentiment. |
More Macro datasets
Preview latest 20 rows
| date | cpi | core_cpi | pce_price_index | unemployment_pct | nonfarm_payrolls_k | m2_billions | industrial_production | retail_sales_m | housing_starts_k | consumer_sentiment |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-09-01 | 336.298 | 338.896 | - | 4.2 | 159,044 | - | 103.951 | 745,021 | 1,221 | - |
| 2026-08-01 | 334.131 | 337.765 | 131.579 | 4.1 | 159,015 | 23,342.8 | 103.266 | 739,322 | 1,288 | 51.7 |
| 2026-07-01 | 332.813 | 336.789 | 131.172 | 4.1 | 158,882 | 23,217.9 | 103.201 | 729,915 | 1,369 | 55.2 |
| 2026-06-01 | 332.568 | 336.065 | 131.106 | 4.2 | 158,892 | 23,114.9 | 102.961 | 732,898 | 1,439 | 49.5 |
| 2026-05-01 | 333.979 | 336.121 | 131.241 | 4.3 | 158,861 | 23,013.7 | 102.723 | 731,415 | 1,182 | 44.8 |
| 2026-04-01 | 332.407 | 335.423 | 130.672 | 4.3 | 158,798 | 22,756.6 | 102.577 | 723,921 | 1,414 | 49.8 |
| 2026-03-01 | 330.293 | 334.165 | 130.105 | 4.3 | 158,650 | 22,640.3 | 101.734 | 719,700 | 1,522 | 53.3 |
| 2026-02-01 | 327.46 | 333.512 | 129.293 | 4.4 | 158,436 | 22,598.7 | 101.905 | 707,959 | 1,346 | 56.6 |
| 2026-01-01 | 326.588 | 332.793 | 128.845 | 4.3 | 158,592 | 22,413.4 | 101.039 | 701,860 | 1,385 | 56.4 |
| 2025-12-01 | 326.031 | 331.814 | 128.455 | 4.4 | 158,432 | 22,355.3 | 101.494 | 706,264 | 1,378 | 52.9 |
| 2025-11-01 | 325.063 | 331.043 | 128.045 | 4.5 | 158,449 | 22,279.8 | 101.034 | 705,453 | 1,319 | 51 |
| 2025-10-01 | - | - | 127.79 | - | 158,408 | 22,249.8 | 101.22 | 700,790 | 1,273 | 53.6 |
| 2025-09-01 | 324.245 | 330.418 | 127.601 | 4.4 | 158,548 | 22,176.1 | 101.668 | 700,948 | 1,319 | 55.1 |
| 2025-08-01 | 323.291 | 329.7 | 127.229 | 4.3 | 158,472 | 22,092.6 | 101.625 | 700,407 | 1,291 | 58.2 |
| 2025-07-01 | 322.169 | 328.682 | 126.906 | 4.3 | 158,542 | 22,025.6 | 101.894 | 698,280 | 1,432 | 61.7 |
| 2025-06-01 | 321.435 | 327.658 | 126.73 | 4.1 | 158,478 | 21,942.6 | 101.479 | 691,883 | 1,379 | 60.7 |
| 2025-05-01 | 320.62 | 326.893 | 126.408 | 4.3 | 158,498 | 21,836.1 | 100.966 | 685,488 | 1,289 | 52.2 |
| 2025-04-01 | 320.302 | 326.467 | 126.163 | 4.2 | 158,485 | 21,770.8 | 101.128 | 695,464 | 1,400 | 52.2 |
| 2025-03-01 | 319.785 | 325.69 | 125.869 | 4.2 | 158,377 | 21,684.1 | 101.04 | 694,750 | 1,346 | 57 |
| 2025-02-01 | 319.679 | 325.465 | 125.77 | 4.2 | 158,310 | 21,607.2 | 101.099 | 683,772 | 1,491 | 64.7 |