{dataset_code}: Get statistical data by dataset code

API: europa.eu:eurostat-api
Endpoint: /data/{dataset_code}
Response format: application/json
Auth: unknown
Method: GET
Last Status: 200
Latency: 245ms

Description

Retrieve statistical data for a specific dataset. Supports filtering by geography, time period, and other dimensions.

Parameters (5)

dataset_code (string, path, required)

Dataset code (e.g., nama_10_gdp for GDP, demo_pjanind for population, tps00001 for population indicators)

format (string, query, optional, default: JSON)

Response format

Constraints: {'enum': ['JSON', 'JSONP']}

geo (string, query, optional)

Geographic filter (country code like DE, FR, EU27_2020)

lang (string, query, optional, default: EN)

Language for labels

Constraints: {'enum': ['EN', 'FR', 'DE']}

time (string, query, optional)

Time period filter (year like 2024, or month like 2024M01)

Examples (1)

Get statistical data by dataset code openapi-spec
curl 'https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_gdp?geo=DE&time=2024'
import requests

resp = requests.get(
    "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_gdp",
    params={
        'geo': 'DE',
        'time': '2024',
    },
)
data = resp.json()
import zingu_apis

api = zingu_apis.api("eurostat")
result = api.fetch("data/{dataset_code}", geo="DE", time=2024)

for item in result:
    print(item)
const resp = await fetch("https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/nama_10_gdp?geo=DE&time=2024");
const data = await resp.json();

Probe History

Latency

Status Codes

TimeStatusLatencySize
2026-04-16 00:11:22.687619 200 245ms
2026-04-15 02:07:53.077414 200 295ms
2026-04-14 02:11:24.473075 200 190ms
2026-04-12 16:13:42.652139 200 178ms
2026-04-10 03:04:04.958987 200 2165ms
2026-04-09 01:16:47.282728 200 202ms
2026-04-08 00:22:09.327351 200 218ms
2026-04-07 01:06:39.731384 200 184ms
2026-04-06 06:47:36.849416 200 268ms
2026-04-05 14:53:38.535176 200 266ms
2026-04-05 00:01:48.814044 200 241ms
2026-04-04 03:00:50.956385 200 196ms
2026-04-03 12:16:08.948330 200 1560ms
2026-03-30 02:57:13.070703 200 229ms
2026-03-29 13:32:54.441969 200 203ms
2026-03-23 10:20:58.540772 200 139ms