scientificenergyco2-emissionsclimategreenhouse-gasrenewable-energyfossil-fuelselectricityglobalcountry-leveltime-seriesdecarbonizationESG

Energy Production, Consumption & CO₂ Emissions by Country

1965–2023

Free

Open dataset

Sample structure: 87.9 / 100
15 download links issued
Seller: waseemahmad
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Category
Scientific
Records
13,115 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
15

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: Our World in Data
Collection method
uploaded
Coverage / snapshot
1965–2023
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. Coverage is stated by the supplier; it has not been verified against every record in the full file.

Sample structure score: 87.9 / 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.

CheckPointsEvidence
Populated cells37.9 / 50462 of 610 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30462 of 462 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 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.

FieldMissing cellsMost common typeOther populated types
country0 / 10string0 / 10
iso_code0 / 10string0 / 10
year0 / 10number0 / 10
population0 / 10number0 / 10
gdp2 / 10number0 / 8
electricity_generation2 / 10number0 / 8
electricity_demand6 / 10number0 / 4
primary_energy_consumption2 / 10number0 / 8
energy_per_capita2 / 10number0 / 8
energy_per_gdp2 / 10number0 / 8
fossil_fuel_consumption4 / 10number0 / 6
renewables_consumption4 / 10number0 / 6
nuclear_consumption3 / 10number0 / 7
coal_consumption4 / 10number0 / 6
oil_consumption4 / 10number0 / 6
gas_consumption4 / 10number0 / 6
hydro_consumption4 / 10number0 / 6
solar_consumption4 / 10number0 / 6
wind_consumption4 / 10number0 / 6
biofuel_consumption3 / 10number0 / 7
fossil_share_energy4 / 10number0 / 6
renewables_share_energy4 / 10number0 / 6
nuclear_share_energy4 / 10number0 / 6
coal_share_energy4 / 10number0 / 6
oil_share_energy4 / 10number0 / 6
gas_share_energy4 / 10number0 / 6
low_carbon_share_energy4 / 10number0 / 6
carbon_intensity_elec6 / 10number0 / 4
coal_production4 / 10number0 / 6
oil_production3 / 10number0 / 7
gas_production3 / 10number0 / 7
fossil_share_elec5 / 10number0 / 5
renewables_share_elec2 / 10number0 / 8
nuclear_share_elec2 / 10number0 / 8
solar_share_elec2 / 10number0 / 8
wind_share_elec2 / 10number0 / 8
hydro_share_elec2 / 10number0 / 8
net_elec_imports6 / 10number0 / 4
per_capita_electricity2 / 10number0 / 8
co20 / 10number0 / 10
co2_per_capita0 / 10number0 / 10
co2_per_gdp2 / 10number0 / 8
co2_per_unit_energy2 / 10number0 / 8
co2_growth_prct0 / 10number0 / 10
coal_co20 / 10number0 / 10
oil_co20 / 10number0 / 10
gas_co23 / 10number0 / 7
cement_co20 / 10number0 / 10
flaring_co22 / 10number0 / 8
other_industry_co28 / 10number0 / 2
co2_including_luc2 / 10number0 / 8
cumulative_co20 / 10number0 / 10
share_global_co20 / 10number0 / 10
total_ghg2 / 10number0 / 8
ghg_per_capita2 / 10number0 / 8
methane2 / 10number0 / 8
nitrous_oxide2 / 10number0 / 8
share_global_cumulative_co20 / 10number0 / 10
temperature_change_from_co20 / 10number0 / 10
temperature_change_from_ghg0 / 10number0 / 10
data_sources0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Cross-national dataset covering energy production, consumption, and greenhouse gas emissions for 229 countries and territories. Contains 60 curated indicators spanning electricity generation by source, primary energy consumption, fossil fuel and renewable breakdowns, CO2 emissions by fuel type, cumulative emissions, methane and nitrous oxide emissions, and estimated temperature contributions. Data density is highest for 1990–2023 with sparser coverage for earlier decades and smaller nations.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 06111230-43ee-4d6f-9dcf-7f0468056c6b --output dataset.bin
Full supplier documentation
Original supplier listing: 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.

Schema

NameTypeDescription
countrystringCountry or territory name
iso_codestringISO 3166-1 alpha-3 country code
yearstringYear of observation (1965–2023)
populationstringTotal population
gdpstringGDP in international-$ (PPP, 2017 prices)
electricity_generationstringTotal electricity generation (TWh)
electricity_demandstringElectricity demand (TWh)
primary_energy_consumptionstringPrimary energy consumption (TWh)
energy_per_capitastringEnergy consumption per capita (kWh)
energy_per_gdpstringEnergy intensity (kWh per $)
fossil_fuel_consumptionstringConsumption by type (TWh)
renewables_consumptionstringConsumption by type (TWh)
nuclear_consumptionstringConsumption by type (TWh)
coal_consumptionstringFossil fuel breakdown (TWh)
oil_consumptionstringFossil fuel breakdown (TWh)
gas_consumptionstringFossil fuel breakdown (TWh)
hydro_consumptionstringRenewable breakdown (TWh)
solar_consumptionstringRenewable breakdown (TWh)
wind_consumptionstringRenewable breakdown (TWh)
biofuel_consumptionstringRenewable breakdown (TWh)
fossil_share_energystringEnergy mix shares (%)
renewables_share_energystringEnergy mix shares (%)
nuclear_share_energystringEnergy mix shares (%)
coal_share_energystringFossil fuel shares (%)
oil_share_energystringFossil fuel shares (%)
gas_share_energystringFossil fuel shares (%)
low_carbon_share_energystringLow-carbon energy share (%)
carbon_intensity_elecstringCarbon intensity of electricity (gCO2/kWh)
coal_productionstring
oil_productionstring
gas_productionstring
fossil_share_elecstring
renewables_share_elecstring
nuclear_share_elecstring
solar_share_elecstring
wind_share_elecstring
hydro_share_elecstring
net_elec_importsstring
per_capita_electricitystring
co2stringAnnual CO2 emissions (million tonnes)
co2_per_capitastringCO2 per capita (tonnes)
co2_per_gdpstringCO2 efficiency metrics
co2_per_unit_energystringCO2 efficiency metrics
co2_growth_prctstring
coal_co2stringCO2 by source (Mt)
oil_co2stringCO2 by source (Mt)
gas_co2stringCO2 by source (Mt)
cement_co2stringCO2 by source (Mt)
flaring_co2stringCO2 by source (Mt)
other_industry_co2string
co2_including_lucstring
cumulative_co2stringGlobal share metrics
share_global_co2stringGlobal share metrics
total_ghgstringTotal greenhouse gas emissions (MtCO2e)
ghg_per_capitastring
methanestringNon-CO2 GHG emissions (MtCO2e)
nitrous_oxidestringNon-CO2 GHG emissions (MtCO2e)
share_global_cumulative_co2stringGlobal share metrics
temperature_change_from_co2stringEstimated warming contribution (°C)
temperature_change_from_ghgstringEstimated warming contribution (°C)
data_sourcesstringWhich source datasets contributed to each row

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Energy Production, Consumption" })
// Found: 06111230-43ee-4d6f-9dcf-7f0468056c6b
get_download_url({ dataset_id: "06111230-43ee-4d6f-9dcf-7f0468056c6b" })  // 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/06111230-43ee-4d6f-9dcf-7f0468056c6b/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"