World Bank API

Fetch country-level economic and development data (GDP, population, inflation, unemployment, life expectancy, CO2, poverty, trade...) with the free World Bank Indicators API (no API key). Use for any macroeconomic statistics, country comparison, development indicator, or historical country data task, even if the World Bank isn't mentioned.

World Bank Indicators API

The World Bank Indicators API exposes ~30,000 time-series indicators for 217 economies and 78 regional/income aggregates, some series back to 1960. No API key, no signup, no documented rate limit — plain HTTPS GET.

Base URL: https://api.worldbank.org/v2

Always append format=json — the default response format is XML.

Fastest path: bundled script

For the common case — one or more indicators for one or more countries — run the bundled zero-dependency script (Python 3.8+, stdlib only):

bash

python3 scripts/wb_data.py gdp US,JP,CN                    # alias + ISO codes, last 5 years
python3 scripts/wb_data.py SP.POP.TOTL BR --date 2000:2024 # explicit indicator code + range
python3 scripts/wb_data.py inflation all --mrv 1           # every economy, latest value
python3 scripts/wb_data.py population WLD,EUU --json       # aggregates, raw JSON output
python3 scripts/wb_data.py --search "renewable energy"     # find indicator codes by keyword
python3 scripts/wb_data.py --aliases                       # list built-in indicator aliases

Exit codes: 0 success, 1 not found / no data, 2 API or network error.

Call the API directly (below) for anything else: country metadata, indicator discovery by topic/source, monthly/quarterly series, or non-Python environments.

Core data query

text

GET https://api.worldbank.org/v2/country/{codes}/indicator/{indicator}?format=json

• {codes} — ISO-2 or ISO-3 country codes, semicolon-separated (US;JP;CN), an aggregate code (WLD, EUU, HIC...), or all (all 265 economies+aggregates).
• {indicator} — an indicator code like NY.GDP.MKTP.CD (case-insensitive).

Example

text

GET https://api.worldbank.org/v2/country/US;JP/indicator/NY.GDP.MKTP.CD?format=json&mrv=2

json

[
  {"page": 1, "pages": 1, "per_page": 50, "total": 4,
   "sourceid": "2", "lastupdated": "2026-07-01"},
  [
    {"indicator": {"id": "NY.GDP.MKTP.CD", "value": "GDP (current US$)"},
     "country": {"id": "US", "value": "United States"},
     "countryiso3code": "USA", "date": "2025",
     "value": 30769700000000, "unit": "", "obs_status": "", "decimal": 0},
    {"...": "one object per country×year, newest first"}
  ]
]

Response shape: a 2-element JSON array — [0] is pagination metadata, [1] is the data array (or null when nothing matched). value is null for years a country hasn't reported. Rows are sorted newest-first per country.

Time and pagination parameters

Parameter	Meaning
date=2020 / date=2000:2024	Single year or range. Monthly 2025M01:2025M06, quarterly 2024Q1:2025Q4 for the few monthly/quarterly sources.
mrv=N	Most recent N values per country (overrides date)
mrnev=N	Most recent N non-empty values — use for "latest available" since many series lag 1–2 years
gapfill=Y	With mrv: forward-fill missing years with the last known value
per_page=N (default 50)	Rows per page; large values (e.g. 20000) work fine — set it high to avoid paging
page=N	Page number; loop while page < pages from the metadata
footnote=y	Adds a footnote field to each data point

Multiple indicators in one call need an explicit source: /country/BR/indicator/NY.GDP.MKTP.CD;SP.POP.TOTL?source=2&format=json (source 2 = World Development Indicators, home of most common series).

Most-used indicator codes (all verified live)

Code	Indicator
NY.GDP.MKTP.CD	GDP (current US$)
NY.GDP.MKTP.KD.ZG	GDP growth (annual %)
NY.GDP.PCAP.CD	GDP per capita (current US$)
NY.GNP.PCAP.CD	GNI per capita, Atlas method (current US$)
SP.POP.TOTL	Population, total
FP.CPI.TOTL.ZG	Inflation, consumer prices (annual %)
SL.UEM.TOTL.ZS	Unemployment (% of labor force, ILO)
SP.DYN.LE00.IN	Life expectancy at birth (years)
SI.POV.GINI	Gini index
SI.POV.DDAY	Poverty headcount at $3.00/day (% of population)
EN.GHG.CO2.PC.CE.AR5	CO2 emissions per capita (t CO2e)
IT.NET.USER.ZS	Internet users (% of population)
NE.EXP.GNFS.ZS	Exports of goods & services (% of GDP)
BX.KLT.DINV.WD.GD.ZS	FDI net inflows (% of GDP)
PA.NUS.FCRF	Official exchange rate (LCU per US$)
SP.URB.TOTL.IN.ZS	Urban population (% of total)

~100 more verified codes grouped by topic in references/indicators.md — read it whenever the needed series isn't in this table. To search by keyword, use the script's --search or the discovery endpoints in references/endpoints.md (there is no server-side text search on the API).

Country codes and aggregates

Countries: ISO-2 (US) or ISO-3 (USA) both work. Aggregates worth knowing: WLD World, EUU European Union, EMU Euro area, HIC/UMC/LMC/LIC income groups, EAS East Asia & Pacific, ECS Europe & Central Asia, LCN Latin America & Caribbean, MEA Middle East & North Africa, SAS South Asia, SSF Sub-Saharan Africa, NAC North America.

country/all returns economies and aggregates mixed together (265 rows per year). To keep only real countries, fetch /v2/country?format=json&per_page=400 once and drop entries where region.value == "Aggregates".

Country metadata (region, income level, capital, coordinates):

text

GET https://api.worldbank.org/v2/country/JPN?format=json
GET https://api.worldbank.org/v2/country?incomeLevel=LIC&format=json&per_page=100

Code examples

python

import requests

def wb_series(indicator: str, countries: str = "all", **params) -> list[dict]:
    """Fetch a World Bank series; returns a flat list of data points."""
    url = f"https://api.worldbank.org/v2/country/{countries}/indicator/{indicator}"
    r = requests.get(url, params={"format": "json", "per_page": 20000, **params}, timeout=30)
    r.raise_for_status()
    body = r.json()
    if "message" in body[0]:          # API errors come back as HTTP 200
        raise ValueError(body[0]["message"][0]["value"])
    return body[1] or []

gdp = wb_series("NY.GDP.MKTP.CD", "US;JP;CN", date="2015:2024")
latest = wb_series("SP.DYN.LE00.IN", "all", mrnev=1)

javascript

const url = "https://api.worldbank.org/v2/country/US;JP/indicator/NY.GDP.MKTP.CD"
          + "?format=json&mrv=5&per_page=1000";
const [meta, rows] = await (await fetch(url)).json();
if (meta.message) throw new Error(meta.message[0].value);
for (const r of rows ?? []) console.log(r.country.value, r.date, r.value);

Errors

Errors come back as HTTP 200 with a message envelope — always check for it:

json

[{"message": [{"id": "120", "key": "Invalid value",
               "value": "The provided parameter value is not valid"}]}]

• 120 — invalid country or indicator code (also returned for economies the World Bank doesn't cover, e.g. Taiwan has no data under any code).
• 175 — indicator exists but its data was deleted or archived (e.g. the old CO2 series EN.ATM.CO2E.PC → use the EN.GHG.* replacements; the whole Doing Business source is archived). Search for a successor code.
• Occasional transient HTML "Request Error" pages instead of JSON — retry once before treating it as a failure.

Practical tips

• Prefer mrnev=1 over mrv=1 for "the latest number" — most series lag one to two years, so mrv=1 often returns the newest year with value: null.
• Set per_page high (e.g. 20000) and you'll almost never need to paginate; all countries × one year is only 265 rows.
• total in the metadata counts country×period slots, including null values.
• Localized names: insert a language code after /v2 — /v2/zh/country/CN/indicator/... (supported: en, es, fr, ar, zh). Only labels are translated; codes and values are identical.
• Data revisions land monthly-ish; lastupdated in the metadata tells you the source's refresh date.
• Yearly is the norm. Monthly/quarterly exists only in a few sources (Global Economic Monitor source=15, quarterly debt source=20/22/23) — see references/endpoints.md.

For the full endpoint catalog (indicators list, topics, sources, regions, income levels, lending types, languages, monthly/quarterly data) read references/endpoints.md; for ~100 more verified indicator codes by topic read references/indicators.md.