Datasets:

kavelaltd
/

historysaid-global-economic

license: cc-by-4.0
task_categories:
  - tabular-regression
  - tabular-classification
tags:
  - economics
  - macroeconomics
  - world-bank
  - imf
  - time-series
  - global-development
size_categories:
  - 100K<n<1M
language:
  - en
pretty_name: HistorySaid Global Economic Dataset

HistorySaid Global Economic Dataset

Unified economic data from World Bank, IMF, and BIS. 215 countries. 99 indicators. 691,215 observations. One schema.

Overview

This dataset combines economic, social, and governance indicators from the World Bank (WDI and WGI), IMF World Economic Outlook, and BIS into a single normalized format. It is designed for researchers, data scientists, and developers who need cross-country time-series data without manual harmonization.

Coverage

Source	Indicators	Countries	Year Range	Update Frequency
BIS	1	106	1964–2026	Annual
IMF (WEO)	3	193	1980–2024	Annual
World Bank (WDI)	89	215	1960–2025	Annual
World Bank (WGI)	6	203	1996–2023	Annual
Total (unified)	99	215	1960–2026	—

Quick Start

Python

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_parquet("data/unified/all_indicators.parquet")

# GDP for the United States
usa_gdp = df[(df["country_code"] == "USA") & (df["indicator_id"] == "wb.NY.GDP.MKTP.CD")]
usa_gdp = usa_gdp.sort_values("year")

print(usa_gdp[["year", "value"]].tail(10))

plt.figure(figsize=(10, 5))
plt.plot(usa_gdp["year"], usa_gdp["value"] / 1e12)
plt.title("USA GDP (trillions USD)")
plt.xlabel("Year")
plt.ylabel("Trillions USD")
plt.grid(True)
plt.tight_layout()
plt.savefig("usa_gdp.png")
plt.show()

R

library(readr)
library(dplyr)
library(ggplot2)

df <- read_csv("data/unified/all_indicators.csv")

usa_gdp <- df %>%
  filter(country_code == "USA", indicator_id == "wb.NY.GDP.MKTP.CD") %>%
  arrange(year)

print(tail(usa_gdp %>% select(year, value), 10))

ggplot(usa_gdp, aes(x = year, y = value / 1e12)) +
  geom_line() +
  labs(title = "USA GDP (trillions USD)", x = "Year", y = "Trillions USD") +
  theme_minimal()

ggsave("usa_gdp.png")

Schema

Column	Type	Description
country_code	string	ISO 3166-1 alpha-3 code
country_name	string	Country name
indicator_id	string	Source-namespaced indicator code (e.g., wb.NY.GDP.MKTP.CD)
indicator_name	string	Human-readable indicator name
source	string	Data source (world_bank, world_bank_wgi, imf_weo, bis)
year	integer	Observation year
value	float	Observation value (null if not available)
unit	string	Unit of measurement
scale	string	Scale (always "units")
last_updated	string	Date of last data extraction
is_estimate	boolean	Whether the value is a projection/estimate

File Structure

historysaid-global-economic-dataset/
├── README.md
├── LICENSE
├── SOURCES.md
├── METHODOLOGY.md
├── VALIDATION.md
├── CODEBOOK.md
├── CHANGELOG.md
├── .zenodo.json
├── checksums.sha256
├── data/
│   ├── core/
│   │   ├── world_bank.csv / .parquet
│   │   ├── world_bank_wgi.csv / .parquet
│   │   ├── imf_weo.csv / .parquet
│   │   └── bis.csv / .parquet
│   ├── unified/
│   │   ├── all_indicators.csv
│   │   └── all_indicators.parquet
│   └── aggregates/
│       ├── regional_aggregates.csv
│       └── regional_aggregates.parquet
├── _mappings/
│   ├── country_codes.json
│   ├── indicators.json
│   ├── indicator_crosswalk.json
│   ├── coverage_matrix.json
│   └── source_metadata.json
├── _review/                (not included in public release)
│   ├── recon_report.md
│   └── country_code_flags.json
└── examples/
    ├── quickstart.py
    ├── quickstart.R
    └── sample_queries.md

Sources and Licenses

This dataset redistributes data under the terms of each source's license. See SOURCES.md for full details.

World Bank (WDI and WGI): CC BY 4.0
IMF (WEO): IMF Copyright and Usage terms
BIS: BIS Terms of Use

Methodology

All country codes are normalized to ISO 3166-1 alpha-3. Indicator codes are namespaced by source (e.g., wb., imf., bis.) to prevent collisions. No interpolation, imputation, or gap-filling was applied. Missing values are null. Full methodology: METHODOLOGY.md

Validation

Schema compliance: 100% across all sources. Zero duplicate (country_code, indicator_id, year) tuples. Spot-check against source database: 100% match rate. Full report: VALIDATION.md

Updates

This is version 1.0. Update schedule to be determined.

Citation

If you use this dataset in published work, please cite:

@dataset{historysaid_global_economic,
  author       = {{Kavela Ltd}},
  title        = {HistorySaid Global Economic Dataset},
  year         = {2025},
  publisher    = {Zenodo},
  version      = {1.0},
  url          = {https://historysaid.com},
  doi          = {10.5281/zenodo.19145374}
}

Explore

Browse this data interactively at historysaid.com.