🌐 DataVerse — Global Development Indicators Dataset

This dataset was compiled for DataVerse-2026, a data analytics competition organized by the Departmental Statistics Association (DSA), Department of Statistics, Faculty of Science, The Maharaja Sayajirao University of Baroda. The competition challenges participants to solve real-world problems through visualization, machine learning, and analytical storytelling.

📅 Competition Dates: Feb 26–28, 2026 · 📍 Venue: Dept. of Statistics, MSU Baroda · 👥 Team Size: 1–4 Members

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📋 Dataset Overview

A longitudinal panel dataset covering global development indicators across world regions and country groups from 2000 to 2020. Each row represents a region-year observation and spans economic, environmental, health, digital, and governance dimensions.

The dataset is structured around aggregated World Bank-style regional groupings (e.g., Africa Eastern and Southern, Arab World, Central Europe and the Baltics, etc.) rather than individual countries, making it well-suited for comparative regional analysis.

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📊 Features

The dataset contains 47 columns organized into the following thematic groups:

🆔 Identifiers

Column	Description
year	Year of observation (2000–2020)
country_code	World Bank region/group code (e.g., AFE, ARB, CEB)
country_name	Full name of the region or country group
region	Sub-region classification (often null for aggregated groups)
income_group	World Bank income classification (often null)
currency_unit	Primary currency (often null for regional aggregates)

💰 Economic Indicators

Column	Description
gdp_usd	GDP in current USD
population	Total population
gdp_per_capita	GDP per capita (USD)
inflation_rate	Annual inflation rate (%)
unemployment_rate	Unemployment rate (%)
fdi_pct_gdp	Foreign direct investment as % of GDP

🌱 Environmental Indicators

Column	Description
co2_emissions_kt	CO₂ emissions in kilotons
energy_use_per_capita	Energy use per capita (kg oil equivalent)
renewable_energy_pct	Renewable energy as % of total
forest_area_pct	Forest area as % of land area

❤️ Health & Social Indicators

Column	Description
life_expectancy	Average life expectancy at birth
child_mortality	Under-5 mortality rate (per 1,000 live births)
health_expenditure_pct_gdp	Health expenditure as % of GDP
hospital_beds_per_1000	Hospital beds per 1,000 people
physicians_per_1000	Physicians per 1,000 people
electricity_access_pct	Population with access to electricity (%)
school_enrollment_secondary	Secondary school enrollment rate

📡 Digital & Connectivity Indicators

Column	Description
internet_usage_pct	Internet users as % of population
mobile_subscriptions_per_100	Mobile subscriptions per 100 people

📐 Derived / Composite Indices

Column	Description
calculated_gdp_per_capita	Recalculated GDP per capita
real_economic_growth_indicator	Derived economic growth metric
econ_opportunity_index	Composite economic opportunity score
co2_emissions_per_capita_tons	Per capita CO₂ emissions (metric tons)
co2_intensity_per_million_gdp	CO₂ intensity per million USD of GDP
green_transition_score	Score reflecting transition to green energy
ecological_preservation_index	Index measuring ecological health
renewable_energy_efficiency	Efficiency ratio of renewable energy use
human_development_composite	Composite HDI-style score
healthcare_capacity_index	Derived healthcare system capacity score
digital_connectivity_index	Composite digital access/readiness score
health_development_ratio	Ratio of health indicators to development level
education_health_ratio	Ratio of education to health indicators
human_development_index	HDI estimate
climate_vulnerability_index	Climate risk and vulnerability score
digital_readiness_score	Digital readiness composite
governance_quality_index	Governance quality composite
global_resilience_score	Overall resilience composite
global_development_resilience_index	Master composite development index

🗓️ Temporal Features

Column	Description
years_since_2000	Years elapsed since 2000
years_since_century	Same as above (century baseline)
is_pandemic_period	Binary flag — 1 for year 2020 (COVID-19)

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🔍 Potential Use Cases

This dataset is particularly well-suited for:

• Exploratory Data Analysis (EDA) — regional trends, missing data patterns, distributions
• Time-series forecasting — predict GDP, HDI, or emissions over time
• Clustering / Unsupervised learning — group regions by development profile
• Regression modeling — predict composite indices from base indicators
• Dashboard / Visualization — build interactive development dashboards
• Analytical storytelling — narrate global development trends

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⚠️ Data Notes

• Many columns contain null values, especially for later years (2016–2020) where source data was unavailable.
• The dataset uses regional aggregates (World Bank group codes), not individual country data.
• The is_pandemic_period flag marks 2020 as a notable anomaly year — many indicators show sharp discontinuities.
• Some derived indices may have been computed by the dataset author and are not direct World Bank outputs.

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🏆 About DataVerse-2026

DataVerse-2026 is a data analytics hackathon organized by the Departmental Statistics Association (DSA), Department of Statistics, Faculty of Science, MSU Baroda (Est. 1949). The competition runs over 2 rounds and spans 3 domains, bringing together students to demonstrate data-driven thinking, creativity, and collaboration.

• 🌐 Website: threed2y.github.io/DataVerse-2026
• 📧 Contact: dataversestats@gmail.com
• 🏛️ Organizer:Departmental Statistics Association, Dept. of Statistics, Faculty of Science, The Maharaja Sayajirao University of Baroda

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📄 License

This dataset is released under the MIT License.