scientificeconomicsworld-bankcountriesdevelopmentgdppopulation

Country-Level Economic & Development Indicators

2023

Free

Open dataset

Sample structure: 95.8 / 100

13 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: World Bank Open Data; REST Countries
Collection method: Supplier description: Cleaned dataset covering 231 countries and territories with key economic and development indicators. Sourced from the World Bank Open Data API and REST Countries API, then normalized into a single clean CSV.
Coverage / snapshot: 2023
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: REST Countries: https://restcountries.com/

Sample structure score: 95.8 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	45.8 / 50	110 of 120 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	110 of 110 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country	0 / 10	string	0 / 10
iso3	0 / 10	string	0 / 10
region	0 / 10	string	0 / 10
subregion	0 / 10	string	0 / 10
capital	0 / 10	string	0 / 10
population	0 / 10	number	0 / 10
area_sq_km	0 / 10	number	0 / 10
population_density_per_sq_km	0 / 10	number	0 / 10
gdp_per_capita_usd	2 / 10	number	0 / 8
life_expectancy_years	0 / 10	number	0 / 10
internet_users_pct	4 / 10	number	0 / 6
unemployment_rate_pct	4 / 10	number	0 / 6

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Cleaned dataset of 231 countries and territories with 12 columns per country including GDP per capita, life expectancy, internet users, unemployment rate, population, area, and geographic metadata. Data sourced from World Bank Open Data and REST Countries API; coverage varies by indicator (201–215 countries).

Retrieve with your agent or Python

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Download the Python example

python3 retrieve-dataset.py 51ad3123-8381-42c7-92cd-e2d25bacf6a5 --output dataset.bin

Full supplier documentation

Original supplier listing: Country-Level Economic & Development Indicators — 231 Nations (2023) Cleaned dataset covering 231 countries and territories with key economic and development indicators. Sourced from the World Bank Open Data API and REST Countries API, then normalized into a single clean CSV. **12 columns per country:** - Country name, ISO 3166-1 alpha-3 code - Region, subregion, capital city - Population, area (sq km), population density - GDP per capita (USD, 2023) - Life expectancy at birth (years, 2022) - Internet users (% of population, 2023) - Unemployment rate (%, 2023) **Data coverage:** 201 countries with GDP data, 215 with life expectancy, 181 with internet usage, 183 with unemployment rates. **Sources:** World Bank Open Data (indicators NY.GDP.PCAP.CD, SP.DYN.LE00.IN, IT.NET.USER.ZS, SL.UEM.TOTL.ZS), REST Countries API v3.1. **Use cases:** Cross-country economic analysis, development research, data science projects, ML feature engineering, educational datasets.

Schema

Name	Type	Description
country	string
iso3	string
region	string
subregion	string
capital	string
population	string
area_sq_km	string
population_density_per_sq_km	string
gdp_per_capita_usd	string
life_expectancy_years	string
internet_users_pct	string
unemployment_rate_pct	string

Sample Data

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For AI Agents

Via MCP Server

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{
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    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Country-Level Economic & Devel" })
// Found: 51ad3123-8381-42c7-92cd-e2d25bacf6a5
get_download_url({ dataset_id: "51ad3123-8381-42c7-92cd-e2d25bacf6a5" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/51ad3123-8381-42c7-92cd-e2d25bacf6a5/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"