Nigeria
High RiskWestern Africa · Lower middle income · Pop. 223,800,000
ND-GAIN Vulnerability: 0.482 (2022)
CO2 per capita
0.55t CO2e
Source: World Bank WDI (2023)
GDP
$479B($2.1k/capita)
Source: World Bank (2023)
Renewable electricity
22.9%
↑ +1.7pp (5yr)
Source: Ember (2023)
Vulnerability
0.482ND-GAIN index
Source: ND-GAIN (2022)
Emissions Trajectory
Nigeria — CO₂ per capita (2000–2023)
Production-based
Source: World Bank WDI · EN.GHG.CO2.PC.CE.AR5
World Bank vs Climate TRACE (indexed)
WB CO₂/capitaClimate TRACE GHG
Source: World Bank WDI + Climate TRACE (indexed, 2015=100)
Nigeria's emissions grew at -1.30%/yr pre-Paris (2000–2014), then -1.46%/yr post-Paris (2015–2023) — a -0.44pp shift. This ranks 5th largest deceleration among tracked countries. Per capita emissions reached 0.6 t in 2023 (-30.3% vs 2000).
Pre-Paris vs Post-Paris CAGR
Source: World Bank WDI · EN.GHG.CO2.PC.CE.AR5
Energy Transition
Electricity Generation Mix (2023)
Donut view
- Renewable22.9%
- Fossil77.1%
- Nuclear & Other0.0%
Source: Ember Global Electricity Review (2023)
Transition Progress
Renewable Share
22.9%
↑ +1.7pp over 5 years
Fossil Fuel Share
77.1%
Nuclear & Other
0.0%
Nigeria's renewable share (22.9%) ranks 5th in the group, adding +1.7pp over 5 years. The group leader (Germany) reached 54.4% renewable.
Economic Decoupling
GDP vs CO₂ Growth
GDP per capitaCO₂ per capita
Decoupling Score: +-21.74Source: World Bank WDI (GDP + CO₂ per capita), indexed to 2000=100
Nigeria shows moderate decoupling. GDP grew faster than emissions by +0.08pp/yr since 2015 (6th among tracked countries). The divergence between green (GDP) and red (CO₂) lines shows economic growth is increasingly less carbon-intensive.
Climate Vulnerability
Vulnerability vs Readiness (Pilot Countries, 2023)
Source: ND-GAIN Country Index (2023). Lower-left = ideal (low vulnerability, high readiness)
Nigeria ranks 6th in climate readiness (score: 0.253) among pilot countries. Vulnerability stands at 0.481 — in the higher range, reflecting significant climate exposure. Fossil fuel dependency (77.1%) remains a key driver.
Key Vulnerabilities
- ▸높은 기후 취약성 (ND-GAIN 취약성 0.48, 사헬 지역 사막화·홍수 이중 위험)
- ▸대기오염 극심 (PM2.5 56.5 µg/m³, WHO 기준 11배 초과)
- ▸낮은 기후 적응 준비도 (ND-GAIN 준비도 0.25, 방글라데시보다 낮음)
- ▸석유 의존 경제 구조의 탈탄소화 전환 리스크
- ▸삼림 벌채 지속 (24.1% → 23.2%, 0.9%p 감소)
Strengths
- ▸재생에너지(수력) 비중 22.9%로 상대적으로 높은 편
- ▸1인당 CO2 배출량 매우 낮음 (0.55 mt, 6개국 중 최저)
- ▸GDP 대비 탄소 집약도 개선 (0.288 → 0.258)
Assessment (high risk): 나이지리아는 아프리카 최대 경제국으로, 석유 자원 의존도와 높은 기후 취약성이 동시에 존재하는 복잡한 상황에 처해 있습니다. ND-GAIN 취약성 지수 0.48은 방글라데시 다음으로 높으며, 사헬 지역의 사막화와 남부 삼각주 지역의 홍수가 동시에 위협하는 이중 리스크 구조를 가지고 있습니다. 대기오염(PM2.5 56.5 µg/m³)은 WHO 기준의 11배를 초과하며, 도시화 및 발전소 연료 연소가 주요 원인입니다. 기후 적응 준비도(0.25)는 6개국 중 최하위로, 제도적·재정적 대응 역량이 매우 부족합니다. 1인당 탄소 배출량(0.55 mt)은 낮지만 이는 에너지 빈곤의 반영이며, 개발 필요와 기후 목표의 균형이 핵심 과제입니다. 탈동조화 지수가 음수(−21.7)로 나타나 최근 경제 충격과 에너지 불안정이 지표를 왜곡하고 있습니다. 에너지 접근성 확대와 재생에너지 전환을 동시에 추진하는 정의로운 전환 전략이 필요합니다.
Data Sources
Emissions (5)
| Indicator | Source | Years |
|---|---|---|
| Carbon intensity of GDP | Derived: EN.GHG.CO2.PC.CE.AR5 / NY.GDP.PCAP.CD * 1000 | 2000–2023 |
| Emissions intensity | derived | 2000–2023 |
| CO2 per capita | World Bank WDI | 2000–2023 |
| Decoupling index | Derived: GDP growth% - CO2 growth% | 2001–2023 |
| Total GHG (absolute) | Climate TRACE | 2015–2023 |
Energy (5)
| Indicator | Source | Years |
|---|---|---|
| Fossil electricity % | Ember/OWID | 2000–2023 |
| Carbon intensity | Ember/OWID | 2000–2022 |
| Renewable electricity % | Ember/OWID | 2000–2023 |
| Energy use per capita | World Bank WDI | 2000–2022 |
| Energy transition momentum | Derived: EMBER.RENEWABLE.PCT(t) - EMBER.RENEWABLE.PCT(t-5) | 2005–2022 |
Economy (1)
| Indicator | Source | Years |
|---|---|---|
| GDP per capita | World Bank WDI | 2000–2023 |
Climate Risk (4)
| Indicator | Source | Years |
|---|---|---|
| ND-GAIN Vulnerability | ND-GAIN | 2000–2022 |
| Forest area | World Bank WDI | 2000–2022 |
| PM2.5 air pollution | World Bank WDI | 2000–2020 |
| ND-GAIN Readiness | ND-GAIN | 2000–2023 |
Derived (29)
| Indicator | Source | Years |
|---|---|---|
| OWID.OIL_CO2 | OWID CO2 | 2000–2023 |
| OWID.NITROUS_OXIDE | OWID CO2 | 2000–2023 |
| OWID.CEMENT_CO2 | OWID CO2 | 2000–2023 |
| OWID.SHARE_GLOBAL_CO2 | OWID CO2 | 2000–2023 |
| OWID.ENERGY_PER_CAPITA | OWID CO2 | 2000–2023 |
| OWID.NITROUS_OXIDE_PER_CAPITA | OWID CO2 | 2000–2023 |
| OWID.CO2 | OWID CO2 | 2000–2023 |
| OWID.ENERGY_PER_GDP | OWID CO2 | 2000–2022 |
| SP.POP.TOTL | World Bank WDI | 2000–2023 |
| OWID.CONSUMPTION_CO2 | OWID CO2 | 2000–2023 |
| OWID.GHG_PER_CAPITA | OWID CO2 | 2000–2023 |
| OWID.GAS_CO2 | OWID CO2 | 2000–2023 |
| OWID.TEMPERATURE_CHANGE_FROM_N2O | OWID CO2 | 2000–2023 |
| OWID.CO2_PER_CAPITA | OWID CO2 | 2000–2023 |
| OWID.METHANE_PER_CAPITA | OWID CO2 | 2000–2022 |
| OWID.CONSUMPTION_CO2_PER_CAPITA | OWID CO2 | 2000–2023 |
| OWID.FLARING_CO2 | OWID CO2 | 2000–2023 |
| OWID.TOTAL_GHG | OWID CO2 | 2000–2023 |
| OWID.CO2_PER_GDP | OWID CO2 | 2000–2022 |
| OWID.METHANE | OWID CO2 | 2000–2023 |
| OWID.TEMPERATURE_CHANGE_FROM_CO2 | OWID CO2 | 2000–2022 |
| OWID.TEMPERATURE_CHANGE_FROM_CH4 | OWID CO2 | 2000–2023 |
| OWID.CO2_INCLUDING_LUC | OWID CO2 | 2000–2023 |
| OWID.CUMULATIVE_CO2 | OWID CO2 | 2000–2023 |
| OWID.TEMPERATURE_CHANGE_FROM_GHG | OWID CO2 | 2000–2023 |
| OWID.TOTAL_GHG_EXCLUDING_LUCF | OWID CO2 | 2000–2022 |
| OWID.SHARE_GLOBAL_CUMULATIVE_CO2 | OWID CO2 | 2000–2023 |
| OWID.COAL_CO2 | OWID CO2 | 2000–2023 |
| DERIVED.CLIMATE_CLASS | VisualClimate derived | 2023–2023 |