Top-N countries ranked by a Penn World Table variable

GET

/api/v1/research/pwt/top

Last modified:2026-05-10 09:22:39

Maintainer:Not configured

OperationId:research_pwt_top

Ranks countries by a Penn World Table variable in descending order for one year. Use for cross-country league tables - largest output-side real GDP (rgdpo), highest TFP level (ctfp), largest capital stock (cn), highest human capital index (hc), biggest labor share (labsh). The variable must be a Penn World Table column name. Call /api/v1/research/pwt/definitions for the full variable dictionary with descriptions and units. Published under CC BY 4.0 with attribution to Penn World Table (Feenstra, Inklaar & Timmer, University of Groningen).

Request

Authorization

API Key

Add parameter in header

x-api-key

Example:

x-api-key: ********************

Query Params

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Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location '/api/v1/research/pwt/top?variable=rgdpo&year=2020&limit=20&version=pwt1100' \
--header 'x-api-key: <api-key>'

Responses

🟢200

application/json

Ranked countries with variable value plus variable description.

Bodyapplication/json

Example

{
    "data": {
        "version": "pwt1100",
        "variable": "rgdpo",
        "description": "string",
        "type": "string",
        "year": 2020,
        "limit": 20,
        "ranking": [
            {
                "rank": 1,
                "countrycode": "USA",
                "country": "United States",
                "value": 0
            }
        ],
        "count": 20,
        "attribution": "string"
    },
    "meta": {
        "endpoint": "/api/v1/fred/us/cpi",
        "data_time": "2026-04-16T14:30:00Z",
        "response_time": "2026-04-16T14:30:12Z",
        "provider": "Sugra API v1.0.1",
        "source": "string",
        "fallback_used": true,
        "fallback_chain": [
            "string"
        ],
        "cached": true
    }
}

🟠401

🟠422

🟠429

🔴503

Modified at 2026-05-10 09:22:39

Single-variable Penn World Table time series for one country

Variable dictionary and methodology notes