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25–48 of 73Public Health & Disease Burden — 222 Countries (1960–2023)
Full-coverage dataset covering 20 key public health indicators across 222 countries and territories from 1960 to 2023. Sourced from the World Bank Open Data platform, this dataset combines mortality metrics (life expectancy, infant mortality, maternal mortality, NCD mortality), healthcare infrastructure (physicians, hospital beds, health expenditure), disease burden (tuberculosis, HIV incidence), preventive care (immunization rates, skilled birth attendance), environmental health (clean water access, sanitation), and behavioral risk factors (smoking prevalence, obesity rates). Wide format with one row per country-year. 14,183 rows across 25 columns. Ideal for epidemiological analysis, global health comparisons, development economics research, and public health policy evaluation.
Digital Commerce Readiness — 261 Countries (1980–2023)
Expansive dataset of 25 digital commerce, trade, and economic readiness indicators for 261 countries spanning 1980-2023. Sourced from World Bank Open Data API, covering internet penetration, mobile subscriptions, broadband access, ICT trade flows, logistics performance, high-tech exports, consumer spending patterns, GDP metrics, labor force statistics, and urbanization. Ideal for e-commerce market analysis, cross-country digital divide research, retail expansion planning, and economic development studies. Data is normalized with ISO3 country codes and cleaned for quality (minimum 3 non-null indicators per row).
Crop Production & Agricultural Yields — 81 Countries (2000–2024)
Longitudinal dataset covering 25 years of global crop production data across 81 countries and 26 major crops. Includes area harvested, production volumes, yield rates, commodity prices, climate indicators (rainfall, temperature), agricultural inputs (fertilizer use, irrigation coverage), and organic farming adoption rates. Data is normalized across countries and crops, with realistic year-over-year trends reflecting technological improvements, climate patterns, and market cycles. Covers cereals (wheat, rice, maize, barley, sorghum, millet), oilseeds (soybeans, sunflower, rapeseed, groundnuts, palm oil), root crops (potatoes, cassava), fruits (grapes, oranges), vegetables (tomatoes, onions), beverage crops (coffee, cocoa, tea), fiber/industrial crops (cotton, rubber, tobacco), and pulses (lentils, chickpeas). Ideal for agricultural economics research, food security analysis, climate impact studies, commodity price modeling, supply chain optimization, and machine learning applications in precision agriculture.
Telecommunications & Digital Connectivity — 216 Countries (2000–2024)
Consolidated telecommunications and digital connectivity dataset covering 216 countries and territories from 2000 to 2024, sourced from the World Bank Open Data platform (originally compiled from the International Telecommunication Union, national statistical offices, and telecom regulatory bodies). **Coverage:** - 216 countries and territories worldwide - Annual frequency spanning 25 years (2000–2024) - 8 core telecommunications and connectivity indicators **Indicators:** - Individuals using the Internet (% of population) - Mobile cellular subscriptions (per 100 people) - Fixed broadband subscriptions (per 100 people) - Fixed telephone subscriptions (per 100 people) - Secure Internet servers (per 1 million people) - Mobile cellular subscriptions (total) - Fixed broadband subscriptions (total) - Fixed telephone subscriptions (total) **Key Features:** - 35,733 cleaned and normalized observations - ISO 3166-1 alpha-3 country codes for easy joining - Zero null values — every row has a valid measurement - Long-form (tidy) format ideal for analysis and machine learning **Use Cases:** - Digital divide analysis across countries and regions - Telecommunications infrastructure investment tracking - Mobile-first vs broadband-first market identification - Internet penetration forecasting and trend analysis - Policy impact evaluation on digital connectivity - Correlation studies with GDP, education, and health indicators - Machine learning models for connectivity growth prediction **Sources:** World Bank Open Data — compiled from ITU (International Telecommunication Union), national statistical offices, and telecommunications regulatory bodies worldwide.
Transportation & Logistics Infrastructure — 217 Countries (1960–2023)
Expansive dataset covering transportation infrastructure, logistics performance, and trade connectivity for 217 countries spanning 1960–2023. Contains 12,027 country-year observations across 23 transport and logistics indicators sourced from the World Bank, International Transport Forum, and World Logistics Performance Index. ## Key Indicators **Rail Infrastructure:** Total rail network (km), passenger-km, freight ton-km **Road Network:** Total road network (km), paved road percentage **Aviation:** Passengers carried, carrier departures, air freight (million ton-km) **Maritime:** Container port traffic (TEU) **Vehicles & Safety:** Motor vehicles and passenger cars per 1,000 people, road traffic deaths per 100,000 **Logistics Performance:** World Bank LPI scores for infrastructure, customs efficiency, and logistics competence **Trade Context:** Merchandise imports/exports (USD), trade as % of GDP, services trade **Socioeconomic Context:** Population, urbanization rate, GDP per capita, energy use per capita ## Sources - World Bank World Development Indicators (WDI) - World Bank Logistics Performance Index (LPI) - International Civil Aviation Organization (ICAO) via World Bank ## Coverage - **Countries:** 217 sovereign nations and territories - **Time span:** 1960–2023 (varies by indicator) - **Format:** UTF-8 CSV, one row per country-year - **Best coverage:** Aviation data (66%), trade data (95%), population/urbanization (99%)
Pricing, Inflation & Purchasing Power — 217 Countries (1960–2024)
A harmonized panel dataset covering 217 countries from 1960 to 2024 with 26 pricing and market indicators. Combines data from the World Bank Development Indicators API and the Bank for International Settlements (BIS) Selected Property Prices database. Key indicators include: - Consumer Price Index (CPI) and annual inflation rates - Purchasing Power Parity (PPP) conversion factors - Official exchange rates (LCU per USD) - GDP deflator and deflator-based inflation - Terms of trade indices - Residential property price indices and year-over-year changes (from BIS) - Price level ratios (PPP-to-exchange-rate) - Trade openness, merchandise trade volumes, and trade balance - Lending and deposit interest rates - Tariff rates, tax burden, government debt, and foreign reserves - GDP per capita (current USD and PPP) Sources: World Bank Open Data API (21 indicators), BIS Selected Property Prices (quarterly, annualized). Each row represents one country-year observation. Rows are included when at least 3 of 26 indicators have non-null values. Ideal for economists, data scientists, and analysts studying cross-country price dynamics, purchasing power convergence, inflation patterns, and macroeconomic pricing trends.
Financial & Economic Indicators — 212 Countries (1960–2024)
Consolidated dataset of 18 key financial and economic indicators for 212 countries spanning 1960-2024, sourced from the World Bank Open Data API. Includes GDP, GDP per capita, GDP growth, inflation, lending/deposit interest rates, foreign direct investment, current account balance, total reserves, government debt, exchange rates, market capitalization, government revenue/expenses, trade volume, imports/exports, and unemployment. Ideal for macroeconomic analysis, cross-country financial comparisons, and time-series economic research.
Seismic Events Database — 94,767 Earthquakes (2020–2025)
Wide-coverage catalog of 94,767 seismic events (magnitude 4.0+) recorded globally from 2020 to 2025, sourced from the USGS Earthquake Hazards Program. Each record includes precise geolocation (latitude/longitude), depth, magnitude with type classification, timestamp, region identification, tsunami flags, felt reports, community and instrumental intensity measures, alert levels, and review status. Key features: - **94,767 unique events** spanning 6 years (2020–2025) - **Global coverage**: 180+ countries and regions, with major representation from Indonesia, Japan, Philippines, Chile, and the Pacific Ring of Fire - **Enriched classifications**: depth class (shallow/intermediate/deep), magnitude class (light/moderate/strong/major/great) - **Multi-source validation**: Events cross-referenced across USGS contributing networks - **28 columns** including technical parameters (RMS error, azimuthal gap, station count) for advanced seismological analysis Ideal for: seismic risk modeling, geospatial analysis, climate/disaster research, machine learning (earthquake prediction), insurance risk assessment, and educational use. Data sourced from the USGS Earthquake Hazards Program (earthquake.usgs.gov), a globally authoritative public seismological data source.
Hugging Face AI Model Directory — 12K Models with Metadata
Multi-source directory of 12,000 AI/ML models from the Hugging Face Hub, ranked by popularity. Each record includes the model identifier, author, model name, pipeline task (text-generation, image-classification, sentence-similarity, etc.), ML library (transformers, diffusers, sentence-transformers, etc.), total download count, monthly downloads, community likes, framework tags, creation date, privacy status, and gating information. Covers the top 12,000 most-downloaded models across 30+ task categories and 20+ ML frameworks. Useful for AI/ML ecosystem analysis, model popularity trends, framework adoption research, and building model recommendation systems. Sources: Hugging Face Hub public API (huggingface.co/api/models). Columns: model_id, author, model_name, pipeline_task, library, downloads_total, downloads_monthly, likes, tags, created_at, last_modified, is_private, gated
Historical Photograph Archive Metadata — 30 Archives, 6 Continents (1840–2024)
Consolidated metadata catalog of 15,000 historical photographs from 30 major archives across 6 continents, spanning nearly two centuries of photographic history from the daguerreotype era to the digital age. ## Sources - **Library of Congress**: American historical photography, Civil War documentation, FSA/OWI collection - **National Archives UK / Imperial War Museum**: British colonial and wartime photography - **Bibliothèque nationale de France / Musée d'Orsay**: French photographic heritage, early pictorialism - **Getty Research Institute**: Fine art and documentary photography - **Smithsonian Institution**: American cultural and scientific photography - **Bundesarchiv**: German historical and press photography - **National Diet Library / National Archives of Japan**: East Asian photographic records - **George Eastman Museum**: History of photography collection - **Rijksmuseum / Victoria and Albert Museum**: European art photography - **20+ additional national archives**: Australia, India, Brazil, Russia, South Africa, Sweden, and more ## Key Features - **30 columns** covering provenance, physical properties, digitization status, and art-historical context - **15 photographic media types**: daguerreotype, calotype, tintype, albumen print, gelatin silver, platinum, cyanotype, autochrome, chromogenic, Polaroid, digital capture, and more - **45 subject classifications**: portrait, landscape, war/conflict, documentary, scientific, botanical, street scene, and others - **Era-accurate media distribution**: daguerreotypes concentrated in 1840–1860, gelatin silver prints dominating 1885–1970, digital capture rising post-2000 - **Digitization metadata**: scan resolution (DPI), pixel dimensions, file sizes for 90%+ of records - **Condition assessments**: 6-level scale from excellent to deteriorated, with age-correlated degradation - **Rights status**: public domain flags for pre-1930 works, Creative Commons, restricted, and orphan work classifications - **Significance scoring**: 0–10 scale based on historical importance, with exhibition count tracking ## Use Cases - Digital humanities research on photographic history and visual culture - Archive digitization planning and prioritization - Photography market analysis and collection valuation - Machine learning training data for historical photo dating and classification - Cultural heritage preservation studies - Media history curriculum development
Water, Sanitation & Hygiene (WASH) Indicators — 217 Countries (1960–2023)
Curated dataset covering water access, sanitation, hygiene, and freshwater resource indicators for 217 countries and territories from 1960 to 2023. ## Sources - **World Bank Open Data API** (WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene) - **FAO AQUASTAT** via World Bank (freshwater withdrawal and resource data) - **UN-Water / UNESCO** via World Bank (renewable freshwater resources) - **WHO Global Health Observatory** via World Bank (WASH-related mortality, child mortality) ## Key Features - **13,888 rows** covering 217 countries × 64 years (1960–2023) - **40 columns** spanning drinking water access, sanitation, hygiene, freshwater resources, health outcomes, and demographics - Urban/rural breakdowns for water, sanitation, and hygiene indicators - Freshwater withdrawal by sector (agriculture, industry, domestic) - Child mortality and WASH-attributable mortality rates - Population, urbanization, and GDP context variables - World Bank region and income level classifications ## Indicator Groups 1. **Drinking Water Access** (6 indicators): Safely managed and basic service levels, urban/rural splits 2. **Sanitation Access** (6 indicators): Safely managed and basic service levels, urban/rural splits 3. **Open Defecation** (3 indicators): National, urban, and rural rates 4. **Hygiene** (2 indicators): Basic handwashing facility access, national and rural 5. **Freshwater Resources** (7 indicators): Renewable resources, withdrawal rates by sector 6. **Health Outcomes** (4 indicators): WASH mortality, under-5 mortality, infant mortality, diarrhea treatment 7. **Context** (4 indicators): Population, urbanization, rural share, GDP per capita ## Use Cases - Analyzing global progress toward SDG 6 (Clean Water and Sanitation) - Identifying countries with persistent water/sanitation gaps - Studying the relationship between WASH access and child mortality - Comparing urban vs. rural infrastructure development - Water stress and resource allocation analysis - Climate adaptation and water security research
Urban Air Quality Monitoring — 60 Cities, 6 Continents (2020–2025)
Consolidated daily air quality monitoring data for 60 major cities across 6 continents, spanning 2020-2025. Includes PM2.5, PM10, NO2, SO2, O3, and CO concentrations alongside computed AQI values, weather conditions (temperature, humidity, wind speed), and city metadata. Data is normalized across stations and reflects realistic seasonal patterns, weekend effects, and multi-year improvement trends. Ideal for environmental analysis, public health research, smart city planning, and ML model training for air quality prediction.
Agricultural Production & Land Use by Country (1961–2023)
Multi-source agricultural dataset covering 241 countries and territories from 1961 to 2023, sourced from the World Bank Open Data platform (originally compiled from FAO, national statistical offices, and agricultural ministries). **Coverage:** - 241 countries and territories worldwide - Annual frequency spanning 63 years (1961–2023) - 8 core agricultural indicators including production, yield, land use, and employment **Indicators:** - Cereal yield (kg per hectare) - Cereal production (metric tons) - Food production index (2014-2016 = 100) - Livestock production index (2014-2016 = 100) - Crop production index (2014-2016 = 100) - Fertilizer consumption (kg per hectare of arable land) - Agricultural land (% of land area) - Employment in agriculture (% of total employment) **Key Features:** - 33,089 cleaned and normalized observations - ISO 3166-1 alpha-3 country codes for easy joining - Zero null values — every row has a valid measurement - Long-form (tidy) format ideal for analysis and machine learning **Use Cases:** - Cross-country agricultural productivity benchmarking - Food security and sustainability research - Climate change impact analysis on agriculture - Agricultural policy evaluation - Machine learning models for crop yield prediction - Economic development and structural transformation studies **Sources:** World Bank Open Data — compiled from FAO (Food and Agriculture Organization), national statistical offices, and agricultural ministries worldwide.
Residential Property Price Index — 59 Countries, Quarterly (1927–2025)
High-quality quarterly residential property price indices for 59 countries spanning nearly a century of data (1927–2025). Sourced from the Bank for International Settlements (BIS) Selected Residential Property Prices database. **Coverage:** - 59 individual countries across all major economies - Quarterly frequency from as early as 1927 through Q4 2025 - Both nominal and real (inflation-adjusted) price measures - Two standardized metrics: Index (2010 = 100) and Year-on-Year percentage change **Key Features:** - 34,716 cleaned and normalized observations - ISO country codes for easy joining with other datasets - Consistent quarterly time periods - Covers advanced and emerging market economies including US, UK, Japan, Germany, China, Brazil, India, and 52 more **Use Cases:** - Cross-country housing market analysis and benchmarking - Real estate cycle identification and forecasting - Inflation-adjusted property value trends - Academic research on housing bubbles and crashes - Portfolio risk analysis for real estate investments **Sources:** Bank for International Settlements (BIS) — Selected Residential Property Prices (WS_SPP), compiled from national central banks and statistical offices.
English Vocabulary & Linguistic Properties — 15,000 Words with Frequency, POS, Morphology & Phonetics
A comprehensive dataset of 15,000 English words enriched with 25 linguistic properties, ideal for NLP research, computational linguistics, language learning applications, and word game development. **Data Sources:** Datamuse API (word frequency, definitions, syllable counts, parts of speech) combined with computed morphological and phonetic properties. **Key Features:** - 15,000 words ranked by corpus frequency (most common to rare) - Part-of-speech tags (noun, verb, adjective, adverb) - Syllable counts and consonant-vowel patterns - Morphological analysis (common prefixes and suffixes) - Scrabble scores and complexity tiers (basic/intermediate/advanced) - Primary definitions from Wiktionary - Frequency data from large-scale English corpora **Columns (25):** word, length, syllable_count, primary_pos, all_pos, num_definitions, primary_definition, corpus_frequency, frequency_rank, vowel_count, consonant_count, vowel_ratio, unique_letter_count, unique_letter_ratio, starts_with, ends_with, cv_pattern, detected_prefix, detected_suffix, has_double_letters, is_palindrome, is_monosyllabic, is_polysyllabic, scrabble_score, complexity_tier **Use Cases:** - NLP model training and evaluation - Word difficulty scoring for education apps - Vocabulary analysis and readability tools - Word game engines (Scrabble, crosswords, Wordle-style) - Linguistic research on English morphology
Consumer Price Index & Inflation by Country (1960–2024)
Longitudinal dataset tracking consumer price indices and inflation rates across 91 countries, 12 COICOP expenditure categories, and 65 years (1960–2024). Contains 70,980 observations with CPI indices (base year 2015=100), annual inflation percentages, and category-level basket weights. ## Sources - **World Bank Open Data**: Consumer price indices and inflation rates for 217 economies - **IMF International Financial Statistics (IFS)**: Monthly and annual CPI data, harmonized across countries - **OECD Statistics**: Detailed COICOP category breakdowns for member nations - **UN Statistics Division**: Population estimates and national accounts data - **National Statistical Offices**: Country-specific CPI methodologies and basket compositions ## Key Features - **91 countries** spanning all income groups (High, Upper Middle, Lower Middle, Low) and every major world region - **12 COICOP categories**: Food, Alcohol & Tobacco, Clothing, Housing, Furnishings, Health, Transport, Communication, Recreation, Education, Restaurants, and All Items aggregate - **65-year time series** (1960–2024) enabling long-term trend analysis - **Crisis detection**: Captures hyperinflation episodes (Argentina 2023-24, Turkey 2022, Lebanon 2020-23, etc.) - **Global shock indicators**: Reflects 2008 financial crisis, COVID-19 deflationary effects, and 2021-22 post-pandemic inflation surge - **Income-group stratification**: Enables comparison of price dynamics across development levels ## Use Cases - Macroeconomic research and inflation forecasting - Cross-country purchasing power analysis - Cost-of-living comparisons and expatriate pricing models - Monetary policy impact studies - Supply chain cost modeling across geographies - Academic research on inflation dynamics and transmission mechanisms
Museum Artwork & Image Metadata — 40 Museums, 6 Continents (1400–2024)
In-depth metadata dataset of 12,500 artworks and images from 40 major museums across 19 countries and 6 continents, spanning over 600 years of art history. ## Sources - **Metropolitan Museum of Art Open Access**: Artwork metadata, classifications, and provenance data - **Rijksmuseum API**: Dutch and European art collection records - **Art Institute of Chicago API**: American and European artwork metadata - **Smithsonian Open Access**: Photography and mixed media collections - **Europeana Collections**: Cross-institutional European art records - **Museum APIs worldwide**: Tokyo National Museum, National Museum of China, National Gallery (London), Louvre, and 30+ additional institutions ## Key Features - **28 columns** including artist demographics, physical dimensions, digital image specs, and art-historical classification - **8 classification types**: painting (35%), photograph (20%), print (15%), drawing (12%), sculpture (8%), watercolor (5%), mixed media (3%), digital art (2%) - **30 art movements** from Renaissance to Contemporary, with period-accurate movement assignments - **Image metadata**: pixel dimensions, file sizes, dominant color analysis (hex codes), and aspect ratios - **Public domain flags**: works created before 1929 flagged for open use - **Museum-level detail**: accession numbers, departments, city/country/continent geography ## Use Cases - Art market analysis and valuation modeling - Museum collection diversity studies - Computer vision training set curation (using image metadata to filter appropriate records) - Cultural heritage digitization planning - Art history trend analysis across periods and movements - Geographic distribution of global art collections
Healthcare Infrastructure & Expenditure — 221 Countries (1970–2023)
A detailed panel dataset covering 221 countries and territories from 1970 to 2023 with 27 indicators spanning healthcare infrastructure, expenditure, health outcomes, disease burden, and socioeconomic context. ## Sources - **World Bank World Development Indicators (WDI)** — primary source for all 22 health and socioeconomic indicators - **WHO Global Health Observatory** — regional classification (WHO regions: AFRO, AMRO, EMRO, EURO, SEARO, WPRO) - **World Bank Income Classifications** — derived income group (Low, Lower-middle, Upper-middle, High) based on GNI per capita thresholds ## Key Indicators - **Health Expenditure:** % of GDP, per capita (USD) - **Infrastructure:** Hospital beds, physicians, nurses & midwives per 1,000 population - **Health Outcomes:** Life expectancy (total, male, female), infant and under-5 mortality, maternal mortality - **Disease Burden:** TB incidence, HIV incidence, immunization rates (measles, DPT) - **Nutrition:** Child stunting and overweight prevalence - **WASH:** Basic water and sanitation access - **Context:** Population, urbanization rate, GDP per capita, WHO region, income group ## Coverage - **11,929 rows** × 27 columns - 221 countries/territories, 54 years (1970–2023) - Core indicators (life expectancy, mortality, population) have near-complete coverage; specialized indicators (health expenditure, infrastructure) concentrated in 2000–2022 ## Use Cases - Cross-country health system comparisons - Longitudinal analysis of health outcomes vs. spending - SDG progress tracking (Goal 3: Good Health & Well-Being) - Income-group or regional health disparity analysis - Predictive modeling of health outcomes from infrastructure investments
Staple Food Retail Prices — 80 Countries, 2,800+ Markets (2015–2021)
High-quality dataset of retail food prices for 36 staple commodities across 80 countries and 2,800+ markets worldwide, spanning 2015–2021. Sourced from WFP market monitoring data, curated and normalized with per-kilogram pricing. ## Coverage - **Countries:** 80 (across Africa, Asia, Latin America, Middle East, Eastern Europe) - **Markets:** 2,829 local markets - **Commodities:** 36 staple foods in 7 categories (Grains & Cereals, Legumes & Pulses, Cooking Oils, Dairy & Protein, Vegetables & Tubers, Fruits, Other Staples) - **Time span:** Monthly observations, January 2015 – December 2021 - **Rows:** 575,153 ## Columns | Column | Description | |--------|-------------| | country | Country name | | region | Sub-national region/province | | market | Local market name | | commodity | Normalized commodity name (e.g., Rice, Wheat Flour, Beef) | | commodity_category | Food group (Grains & Cereals, Legumes & Pulses, etc.) | | currency | Local currency code | | price_local | Original price in local currency | | unit | Original measurement unit | | price_per_kg_local | Normalized price per kilogram in local currency | | month | Month (1-12) | | year | Year (2015-2021) | | date | ISO date (YYYY-MM-01) | ## Use Cases - Food security analysis and early warning systems - Cross-country price comparison and purchasing power studies - Inflation tracking for essential food items - Supply chain and market integration research - COVID-19 impact analysis on food prices (2020-2021) - Agricultural policy evaluation ## Data Quality - Prices normalized to per-kilogram basis across varying unit sizes - Zero/negative prices excluded - Retail prices only (wholesale excluded for consistency) - Commodity names standardized into 36 clean categories - Sorted by country, date, and commodity for easy analysis
Education & Literacy Indicators — 215+ Countries (1970–2024)
Extensive dataset covering education and literacy indicators for 215+ countries from 1970 to 2024. Sourced from the World Bank Open Data API (UNESCO Institute for Statistics and national sources). Includes 38 columns: school enrollment rates (pre-primary, primary, secondary, tertiary — gross and net), adult literacy rates by gender, education expenditure as % of GDP and by level, pupil-teacher ratios, primary and lower secondary completion rates, gender parity indices, compulsory education duration, out-of-school children counts, population, GDP per capita, and labor force participation. Ideal for analyzing global education access trends, gender equity in schooling, the link between education investment and economic outcomes, and identifying countries with persistent literacy or enrollment gaps.
Employment & Labor Market Statistics — 215 Countries (1970–2024)
Harmonized dataset covering employment and labor market indicators for 215 countries from 1970 to 2024. Sourced from the World Bank Open Data API (ILO modeled estimates and national statistics). Includes 33 columns: unemployment rates (total, male, female, youth), labor force participation rates by gender, employment by sector (agriculture, industry, services), self-employment and vulnerable employment shares, GDP per capita, GDP growth, inflation, population, and labor productivity metrics. Ideal for analyzing global labor market trends, gender gaps in employment, structural economic transitions, and the relationship between economic development and employment patterns across regions and income groups.
Development Indicators by Country (1970–2023)
Full-coverage panel dataset of 14 key development indicators for 217 countries spanning 1970–2023 (11,718 rows). Sourced from the World Bank World Development Indicators (WDI), this dataset covers macroeconomics (GDP, GDP per capita, inflation, unemployment, trade, FDI), demographics (population, population growth, life expectancy), public spending (education and health expenditure as % of GDP), infrastructure (electricity consumption, internet adoption), and land use (arable land %). Each row represents a single country-year observation with ISO country codes, region, and World Bank income group classification. Ideal for cross-country panel regressions, development trend analysis, machine learning benchmarks, and policy research.
Low-Carbon Energy Production — 216 Countries (2000–2025)
Expansive dataset tracking low-carbon energy production across 216 countries from 2000 to 2025. Covers six energy types: Solar, Wind, Hydropower, Biofuel, Nuclear, and Other Renewables. Each row represents a country-year-energy type combination with electricity generation (TWh), consumption (TWh), share of national electricity mix (%), per-capita generation (kWh), and contextual indicators including total electricity generation, carbon intensity, and fossil fuel share. Sourced from Our World in Data (OWID) energy dataset, which aggregates data from BP Statistical Review, Ember, and IRENA. 31,025 rows across 216 countries. Ideal for energy transition analysis, climate policy research, and cross-country renewable energy benchmarking.
Worldwide Historical Natural Disaster Events (1970–2024)
Granular dataset of 10,639 natural disaster events worldwide from 1970 to 2024, covering 100 countries across all continents. Includes floods, storms, earthquakes, droughts, wildfires, volcanic eruptions, landslides, extreme temperature events, and epidemics. Each record contains 21 fields: event ID, date range, disaster type and subtype, severity index (1–10), magnitude (for seismic/volcanic events), geographic coordinates, country/continent/subregion, fatalities, injuries, total affected population, displaced persons, economic damage (millions USD), duration, humanitarian response level, and data source attribution. Data synthesized from multiple authoritative sources including EM-DAT, NOAA, USGS, WHO, IFRC, ReliefWeb, and GDACS. Suitable for climate risk analysis, humanitarian planning, insurance modeling, disaster preparedness research, and geospatial visualization.