SP500-DIVIDEND-YIELD — Daily CSV Download (S&P 500 Dividend Yield)
The dividend yield measures the annual dividend income per dollar of S&P 500 price. It has declined structurally since the 1990s as companies shifted from dividends to buybacks. The current yield below 2% does not mean equities are unattractive — it means the composition of shareholder returns has changed. For income-focused investors, the dividend yield remains a key input alongside total payout ratios.
Dataset: S&P 500 Dividend Yield (1871–2026) · Updated 2026-05-01
Macro Takeaway
This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.
Cross-referencing with the earnings yield and the historical total returns helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | S&P 500 Dividend Yield (1871–2026) |
|---|---|
| Geography | United States |
| Frequency | Monthly |
| Period | 1871–2026 |
| Variables | date, dividend_yield |
| Format | CSV, Excel (XLSX) |
| Sources | Robert Shiller, Yale University (ie_data.xls) — Open academic data |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
dividend_yield | Float | Trailing 12-month dividend yield (%) |
Column names match the CSV headers exactly.
Download the Complete Dataset
The full dataset is available in CSV and Excel formats.
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/sp500-dividend-yield.csv
This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.
Using the Dataset in Python
import pandas as pd url = "https://eco3min.fr/dataset/sp500-dividend-yield.csv" df = pd.read_csv(url, parse_dates=["date"]) print(df.head()) print(df.describe())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/sp500-dividend-yield.csv" df <- read_csv(url) head(df) summary(df)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
Trailing 12-month dividends divided by S&P 500 price, expressed as a percentage. Source: Shiller dataset.
This dataset is updated automatically via the Eco3min data pipeline.
Historical Regimes
Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.
Related Macroeconomic Datasets
- S&P 500 Earnings Yield — Total earnings return
- S&P 500 Historical Returns — Total returns with dividends reinvested
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- Robert Shiller, Yale University (ie_data.xls) — Open academic data
Dataset Reference
Last updated — 13 May 2026
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