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169–192 of 230Healthcare Infrastructure & Disease Burden — 226 Countries (1980–2024)
Wide-coverage panel dataset covering 226 countries and territories from 1980 to 2024 with 28 health system indicators. Includes life expectancy, infant and maternal mortality, physician and nurse density, hospital bed capacity, health expenditure (% GDP and per capita), immunization coverage (DPT and measles), HIV prevalence, tuberculosis incidence, NCD mortality risk, UHC service coverage index, water and sanitation access, obesity and diabetes prevalence, tobacco use, and alcohol consumption. Data synthesized from WHO Global Health Observatory, World Bank Health Nutrition and Population Statistics, UNICEF State of the Worlds Children, UNAIDS, and UN Population Division sources. Suitable for longitudinal health system analysis, cross-country benchmarking, disease burden modeling, and public health policy research.
Energy Production, Consumption & CO₂ Emissions by Country (1965–2023)
Cross-national country-level dataset covering energy production, consumption, and greenhouse gas emissions for 229 countries and territories from 1965 to 2023. Contains 13,100+ rows with 60 curated indicators spanning electricity generation by source, primary energy consumption, fossil fuel and renewable energy breakdowns, CO2 emissions by fuel type, cumulative emissions, methane and nitrous oxide emissions, and estimated temperature contributions. **Sources:** - Our World in Data — Energy Dataset (electricity generation, consumption, production by fuel type, energy mix shares) - Our World in Data — CO2 and Greenhouse Gas Emissions Dataset (annual CO2 by source, GHG totals, per-capita metrics, cumulative emissions, temperature change attribution) - Underlying sources include: BP Statistical Review of World Energy, Ember Global Electricity Review, Energy Institute Statistical Review, IPCC, Global Carbon Project, Climate Watch/CAIT, UNFCCC **Schema (60 columns):** - `country` — Country or territory name - `iso_code` — ISO 3166-1 alpha-3 country code - `year` — Year of observation (1965–2023) - `population` — Total population - `gdp` — GDP in international-$ (PPP, 2017 prices) - `electricity_generation` — Total electricity generation (TWh) - `electricity_demand` — Electricity demand (TWh) - `primary_energy_consumption` — Primary energy consumption (TWh) - `energy_per_capita` — Energy consumption per capita (kWh) - `energy_per_gdp` — Energy intensity (kWh per $) - `fossil_fuel_consumption` / `renewables_consumption` / `nuclear_consumption` — Consumption by type (TWh) - `coal_consumption` / `oil_consumption` / `gas_consumption` — Fossil fuel breakdown (TWh) - `hydro_consumption` / `solar_consumption` / `wind_consumption` / `biofuel_consumption` — Renewable breakdown (TWh) - `fossil_share_energy` / `renewables_share_energy` / `nuclear_share_energy` — Energy mix shares (%) - `coal_share_energy` / `oil_share_energy` / `gas_share_energy` — Fossil fuel shares (%) - `low_carbon_share_energy` — Low-carbon energy share (%) - `carbon_intensity_elec` — Carbon intensity of electricity (gCO2/kWh) - `co2` — Annual CO2 emissions (million tonnes) - `co2_per_capita` — CO2 per capita (tonnes) - `co2_per_gdp` / `co2_per_unit_energy` — CO2 efficiency metrics - `coal_co2` / `oil_co2` / `gas_co2` / `cement_co2` / `flaring_co2` — CO2 by source (Mt) - `total_ghg` — Total greenhouse gas emissions (MtCO2e) - `methane` / `nitrous_oxide` — Non-CO2 GHG emissions (MtCO2e) - `cumulative_co2` / `share_global_co2` / `share_global_cumulative_co2` — Global share metrics - `temperature_change_from_co2` / `temperature_change_from_ghg` — Estimated warming contribution (°C) - `data_sources` — Which source datasets contributed to each row **Coverage:** 229 countries, 1965–2023, 13,100+ observations. Data density is highest for 1990–2023 with near-complete coverage; earlier decades have sparser coverage for smaller nations. **Use cases:** Climate policy analysis, energy transition tracking, cross-country emissions benchmarking, renewable energy adoption studies, carbon intensity trends, ESG research, AI agent environmental analysis, academic research on global decarbonization pathways.
Public Domain Books Catalog — 75,000+ Literary Works (1971–2025)
Cross-national catalog of 75,545 public domain literary works from Project Gutenberg, enriched with genre classification, literary era mapping, and Library of Congress subject area categorization. Covers works in 58+ languages from ancient texts to early 20th-century literature. **Sources:** - Project Gutenberg digital library catalog (primary metadata: titles, authors, dates, subjects, Library of Congress Classification) - Library of Congress Classification scheme (subject area mapping) - Literary period taxonomy (era classification from Medieval through Contemporary) - Custom NLP-derived genre classification across 20+ categories **Schema (23 columns):** - `gutenberg_id` — Unique Project Gutenberg text identifier - `title` — Full title of the work - `author` — Primary author name (normalized to "First Last" format) - `author_birth_year` / `author_death_year` — Author life dates - `num_authors` — Number of credited authors - `language_code` — ISO language code - `language` — Full language name - `issued_date` — Date digitized/added to Project Gutenberg - `primary_subject` — Primary subject heading - `subject_count` — Total number of subject headings - `locc_classification` — Library of Congress Classification code(s) - `locc_area` — Mapped LoCC broad subject area - `genre` — Derived genre (Fiction, Poetry, History, Science Fiction, Mystery, etc.) - `literary_era` — Estimated literary period (Medieval, Renaissance, Romantic, Victorian, Modern, Contemporary) - `bookshelf` — Project Gutenberg bookshelf category - `source` — Data source identifier - `url` — Direct link to the work - `license` — License type (all Public Domain) - `title_word_count` — Number of words in title - `has_author` — Whether author is known (1/0) - `is_english` — English language flag (1/0) - `has_classification` — Has LoCC classification (1/0) **Coverage:** 75,545 unique works across 58+ languages. 60K+ English works plus significant French (4K), Finnish (3.5K), German (2.3K), and 50+ other language collections. Literary eras span from Ancient/Medieval through Contemporary. **Use cases:** Literary analysis, NLP training data catalogs, bibliometric research, digital humanities, author network analysis, genre classification benchmarking, language diversity studies, cultural heritage research.
Weather Station Sensor Network — 57 Stations, 48 Countries (2022–2024)
Deep daily weather sensor readings from 57 major meteorological stations spanning 48 countries and 6 continents, covering 2022–2024. Each record captures temperature (mean, max, min), dewpoint, sea-level pressure, visibility, wind speed, precipitation, snow depth, and weather event flags (fog, rain, snow, hail, thunder, tornado). **Sources:** NOAA Global Summary of the Day (GSOD) via NCEI Climate Data Online. **Schema:** - `station_id` — NOAA station identifier (USAF+WBAN) - `station_name` — Human-readable station name - `city` — City where the station is located - `country` — ISO 2-letter country code - `latitude` / `longitude` — Station coordinates - `date` — Observation date (YYYY-MM-DD) - `temp_f` — Mean temperature (°F) - `temp_max_f` / `temp_min_f` — Daily max/min temperature (°F) - `dewpoint_f` — Dewpoint temperature (°F) - `sea_level_pressure_mb` — Sea-level pressure (millibars) - `visibility_miles` — Visibility (miles) - `wind_speed_mph` — Mean wind speed (mph) - `max_wind_speed_mph` — Maximum sustained wind speed (mph) - `precipitation_inches` — Total precipitation (inches) - `snow_depth_inches` — Snow depth (inches) - `fog` / `rain` / `snow` / `hail` / `thunder` / `tornado` — Binary weather event flags **Coverage:** 57 stations across North America, South America, Europe, Asia, Africa, and Oceania. 59,155 daily records. All columns cleaned and normalized with empty strings for missing values. **Use cases:** Climate analysis, urban weather modeling, sensor network benchmarking, anomaly detection, cross-continental temperature comparisons, precipitation pattern analysis.
Sovereign Debt & Fiscal Indicators — 214 Countries (2000–2023)
Cross-national dataset of sovereign debt, fiscal policy, and financial indicators for 214 countries from 2000 to 2023. Sourced from the World Bank Open Data API, this dataset covers 28 key indicators including: central government debt (% of GDP), government revenue and expenditure, tax revenue composition (income, goods/services, international trade), external debt stocks, debt service ratios, current account balance, foreign reserves, lending and real interest rates, broad money supply, domestic credit, GDP and GDP per capita, GDP growth, foreign direct investment, trade openness, imports/exports, exchange rates, and stock market metrics. Data is in long/tidy format with 93,782 rows — each row represents one country-year-indicator observation. Covers 214 sovereign nations and territories across 24 years. **Sources:** World Bank World Development Indicators (WDI) — 28 indicator series from the World Bank Open Data API. **Use cases:** Sovereign credit risk analysis, fiscal policy research, cross-country economic comparison, debt sustainability assessments, macroeconomic forecasting, and financial market analysis.
Gender Equality & Women's Empowerment Indicators (1960–2024)
A extensive panel dataset covering gender equality and women's empowerment indicators for 217+ countries from 1960 to 2024. Compiled from World Bank Gender Statistics, combining 25 indicators per country-year: women in parliament (%), female/male labor force participation, gender parity in education (primary/secondary/tertiary enrollment), maternal mortality rates, adolescent fertility, life expectancy by gender, unemployment by gender, literacy rates by gender, contraceptive prevalence, vulnerable employment, primary school completion rates, births attended by skilled staff, total fertility rate, women justifying violence indicators, female land ownership, and female firm ownership. Over 16,000 rows with 28 columns. Useful for gender research, policy analysis, SDG tracking, and cross-country development comparisons.
Education & Literacy Statistics — 192 Countries (1970–2024)
Expansive panel dataset covering 192 countries from 1970 to 2024, with 15 education indicators including literacy rates, school enrollment (primary, secondary, tertiary), government education spending as percentage of GDP, pupil-teacher ratios, mean and expected years of schooling, out-of-school children rates, and gender parity indices. Data is normalized across World Bank income groups and geographic regions, sourced from UNESCO Institute for Statistics, World Bank World Development Indicators, and UNDP Human Development Reports. Contains 10,560 observations suitable for longitudinal education analysis, development economics research, human capital modeling, and SDG 4 (Quality Education) progress tracking.
Population & Demographics by Country (1960–2024)
Cleaned panel dataset covering 176 countries and territories from 1960 to 2024, with 17 demographic indicators including population, life expectancy, birth and death rates, fertility rate, infant mortality, urbanization, median age, dependency ratio, and migration metrics. Data is normalized across World Bank income groups and UN geographic regions, sourced from World Bank World Development Indicators, UN Population Division estimates, and WHO demographic statistics. Contains 11,440 observations suitable for longitudinal demographic analysis, development economics research, and population trend modeling.
World Cities & Urban Areas Database — 2025
Long-running dataset of 10,500 cities across 179 countries and 6 continents. Includes geographic coordinates, population estimates, elevation, timezone, climate classification (simplified Köppen), GDP per capita, primary language, currency, and capital city indicators. Ideal for geospatial analysis, urban planning research, demographic studies, and machine learning applications.
Public 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