– Geographic Information System (GIS)

Gis: TRADING ECONOMICS | GIS API

Mon, 01 Jan 0001 00:00:00 +0000

Trading Economics exposes its entire dataset as geospatial layers through the OGC API – Features standard. Every data point is delivered as a GeoJSON feature anchored to a country polygon or centroid, so you can load it directly into QGIS, ArcGIS Pro, or any OGC-compliant client — no conversion, no middleware. A single URL gives you live, queryable, styleable layers ready for choropleth mapping (see GDP Growth Map), labeling, or temporal animation alongside your existing spatial data.

Endpoints: Indicators | Markets | FRED | COMTRADE

Clients: QGIS | ArcGIS | Proxy

Gis: TRADING ECONOMICS | GIS World Indicators

Mon, 01 Jan 0001 00:00:00 +0000

Covers 196 countries with historical series and forecasts for more than 20 million economic indicators. A single request returns the latest value for every country, with each feature carrying the value, date, unit, frequency, previous period, and source.

All Indicators — All Countries

Returns a snapshot of important indicators for many countries.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/indicators/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/indicators/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "USA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States",
 "gdp": 25462700,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "gdp_frequency": "Yearly",
 "gdp_previous_value": 23315081,
 "gdp_previous_date": "2022-12-31",
 "gdp_source": "World Bank",
 "population": 331900000,
 "population_date": "2023-12-31",
 "population_unit": "Million",
 "population_frequency": "Yearly",
 "population_previous_value": 329500000,
 "population_previous_date": "2022-12-31",
 "population_source": "World Bank",
 "interest_rate": 5.5,
 "interest_rate_date": "2024-01-31",
 "interest_rate_unit": "percent",
 "interest_rate_frequency": "Daily",
 "interest_rate_previous_value": 5.25,
 "interest_rate_previous_date": "2023-12-31",
 "interest_rate_source": "Federal Reserve",
 "inflation_rate": 3.4,
 "inflation_rate_date": "2024-01-31",
 "inflation_rate_unit": "percent",
 "inflation_rate_frequency": "Monthly",
 "inflation_rate_previous_value": 3.1,
 "inflation_rate_previous_date": "2023-12-31",
 "inflation_rate_source": "Bureau of Labor Statistics",
 "unemployment_rate": 3.7,
 "unemployment_rate_date": "2024-01-31",
 "unemployment_rate_unit": "percent",
 "unemployment_rate_frequency": "Monthly",
 "unemployment_rate_previous_value": 3.8,
 "unemployment_rate_previous_date": "2023-12-31",
 "unemployment_rate_source": "Bureau of Labor Statistics",
 "gdp_growth_rate": 3.3,
 "gdp_growth_rate_date": "2023-12-31",
 "gdp_growth_rate_unit": "percent",
 "gdp_growth_rate_frequency": "Quarterly",
 "gdp_growth_rate_previous_value": 4.9,
 "gdp_growth_rate_previous_date": "2023-09-30",
 "gdp_growth_rate_source": "Bureau of Economic Analysis",
 "government_debt_to_gdp": 129.0,
 "government_debt_to_gdp_date": "2023-12-31",
 "government_debt_to_gdp_unit": "percent of GDP",
 "government_debt_to_gdp_frequency": "Yearly",
 "government_debt_to_gdp_previous_value": 121.7,
 "government_debt_to_gdp_previous_date": "2022-12-31",
 "government_debt_to_gdp_source": "World Bank"
 }
 }
]

Single Indicator

Returns data for a single indicator for all countries.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/indicators/gdp/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/indicators/gdp/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "CHN",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "CHN",
 "country": "China",
 "gdp": 17963171,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "gdp_frequency": "Yearly",
 "gdp_previous_value": 17886334,
 "gdp_previous_date": "2022-12-31",
 "gdp_source": "World Bank"
 }
 },

 {
 "type": "Feature",
 "id": "USA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States of America",
 "gdp": 17963171,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "gdp_frequency": "Yearly",
 "gdp_previous_value": 17886334,
 "gdp_previous_date": "2022-12-31",
 "gdp_source": "World Bank"
 }
 }
]

Indicator Using Parameters

Returns data for one or more indicators across multiple countries.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/indicators/items?c={your_api_key}&countries=mexico,sweden&indicators=gdp,population'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/indicators/items?c=${your_api_key}&countries=mexico,sweden&indicators=gdp,population`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "CHN",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "CHN",
 "country": "China",
 "gdp": 17963171,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "gdp_frequency": "Yearly",
 "gdp_previous_value": 17886334,
 "gdp_previous_date": "2022-12-31",
 "gdp_source": "World Bank",
 "population": 1412175000,
 "population_date": "2023-12-31",
 "population_unit": "Million",
 "population_frequency": "Yearly",
 "population_previous_value": 1411750000,
 "population_previous_date": "2022-12-31",
 "population_source": "World Bank"
 }
 },

 {
 "type": "Feature",
 "id": "PRT",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "PRT",
 "country": "Portugal",
 "gdp": 17963171,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "gdp_frequency": "Yearly",
 "gdp_previous_value": 17886334,
 "gdp_previous_date": "2022-12-31",
 "gdp_source": "World Bank",
 "population": 1412175000,
 "population_date": "2023-12-31",
 "population_unit": "Million",
 "population_frequency": "Yearly",
 "population_previous_value": 1411750000,
 "population_previous_date": "2022-12-31",
 "population_source": "World Bank"
 }
 }
]

Historical Indicators

Append yearFrom and yearTo to get one feature per country per year — ideal for temporal animation in QGIS.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/indicators/population/items?yearFrom=2020&yearTo=2025&c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/indicators/population/items?yearFrom=2020&yearTo=2025&c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "USA_2020",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States",
 "date": "2020-12-31",
 "population": 331500000,
 "population_unit": "Million",
 "population_source": "World Bank"
 }
 },
 {
 "type": "Feature",
 "id": "USA_2021",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States",
 "date": "2021-12-31",
 "population": 331900000,
 "population_unit": "Million",
 "population_source": "World Bank"
 }
 }
]

Response Properties

Each indicator value on a feature follows this naming pattern:

Property	Description	Example
`{slug}`	Latest value	`gdp`: `25462700`
`{slug}_date`	Date of latest value	`gdp_date`: `"2023-12-31"`
`{slug}_unit`	Unit of measurement	`gdp_unit`: `"USD Million"`
`{slug}_frequency`	Data frequency	`gdp_frequency`: `"Yearly"`
`{slug}_previous_value`	Previous period value	`gdp_previous_value`: `23315081`
`{slug}_previous_date`	Previous period date	`gdp_previous_date`: `"2022-12-31"`
`{slug}_source`	Data source	`gdp_source`: `"World Bank"`

Slug is lowercase with hyphens converted to underscores (e.g. interest-rate → interest_rate).

Available Indicators

Indicator	API Path	Description
`gdp`	`gdp`	Gross domestic product
`population`	`population`	Total population
`interest-rate`	`interest rate`	Central bank benchmark interest rates
`inflation-rate`	`inflation rate`	Consumer price inflation rates
`unemployment-rate`	`unemployment rate`	Labor force unemployment rates
`gdp-growth-rate`	`gdp growth rate`	Gross domestic product annual growth rates
`government-debt-to-gdp`	`government debt to gdp`	Government debt as percentage of GDP

More indicators are being added continuously.

Gis: TRADING ECONOMICS | GIS Markets

Mon, 01 Jan 0001 00:00:00 +0000

Live market quotes delivered as one feature per country — the most relevant instrument for each country in the collection. Covers three asset classes: currency exchange rates, stock market indexes, and government bond yields.

Currency Exchange Rates

FX exchange rates per country, anchored to a cross currency.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/market/currencies/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/market/currencies/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "USDJPY:JPN",
 "geometry": { "type": "Point", "coordinates": [138.25, 36.20] },
 "properties": {
 "iso3": "JPN",
 "country": "Japan",
 "fullName": "USDJPY",
 "group": "currency",
 "importance": 1,
 "lastValue": 154.32,
 "dailyChange": 0.45,
 "dailyChangePct": 0.29,
 "weeklyChange": 1.20,
 "weeklyChangePct": 0.78,
 "monthlyChange": 3.50,
 "monthlyChangePct": 2.32,
 "yearlyChange": 12.10,
 "yearlyChangePct": 8.51,
 "unit": "JPY",
 "lastUpdate": "2026-04-20T12:00:00Z"
 }
 }
]

Stock Market Indexes

Major stock market index per country.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/market/indexes/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/market/indexes/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "SPX:USA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States",
 "fullName": "United States S&P 500",
 "group": "index",
 "importance": 1,
 "lastValue": 5218.19,
 "dailyChange": 23.45,
 "dailyChangePct": 0.45,
 "weeklyChange": 112.30,
 "weeklyChangePct": 2.20,
 "monthlyChange": -89.50,
 "monthlyChangePct": -1.69,
 "yearlyChange": 421.10,
 "yearlyChangePct": 8.78,
 "unit": "points",
 "lastUpdate": "2026-04-20T20:00:00Z"
 }
 }
]

Government Bond Yields

10-year government bond yields per country.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/market/bonds/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/market/bonds/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "USGG10YR:USA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "USA",
 "country": "United States",
 "fullName": "United States 10Y Bond Yield",
 "group": "bond",
 "importance": 1,
 "lastValue": 4.25,
 "dailyChange": -0.03,
 "dailyChangePct": -0.70,
 "weeklyChange": 0.12,
 "weeklyChangePct": 2.90,
 "monthlyChange": -0.15,
 "monthlyChangePct": -3.41,
 "yearlyChange": 0.75,
 "yearlyChangePct": 21.43,
 "unit": "percent",
 "lastUpdate": "2026-04-20T16:00:00Z"
 }
 }
]

Using Parameters

Filter currencies by cross currency and country.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/market/currencies/items?c={your_api_key}&cross=EUR&country=Japan'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/market/currencies/items?c=${your_api_key}&cross=EUR&country=Japan`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "EURJPY:JPN",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "iso3": "JPN",
 "country": "Japan",
 "fullName": "EURJPY",
 "group": "currency",
 "importance": 1,
 "lastValue": 162.45,
 "dailyChange": 0.32,
 "dailyChangePct": 0.20,
 "weeklyChange": 1.10,
 "weeklyChangePct": 0.68,
 "monthlyChange": 2.85,
 "monthlyChangePct": 1.79,
 "yearlyChange": 9.20,
 "yearlyChangePct": 6.01,
 "unit": "JPY",
 "lastUpdate": "2026-04-20T12:00:00Z"
 }
 }
]

Response Properties

Property	Type	Description
`iso3`	string	ISO 3166-1 alpha-3 country code
`country`	string	Country name
`fullName`	string	Instrument full name
`group`	string	`currency`, `index`, or `bond`
`importance`	int	Importance ranking
`lastValue`	number	Latest price/yield
`dailyChange`	number	Absolute change today
`dailyChangePct`	number	Percentage change today
`weeklyChange`	number	Absolute change this week
`weeklyChangePct`	number	Percentage change this week
`monthlyChange`	number	Absolute change this month
`monthlyChangePct`	number	Percentage change this month
`yearlyChange`	number	Absolute change this year
`yearlyChangePct`	number	Percentage change this year
`unit`	string	Currency/unit label
`lastUpdate`	string	ISO 8601 timestamp of last update

Available Collections

Collection	Endpoint	Description
`currencies`	`market/currencies`	FX exchange rates anchored to each country, relative to a cross currency
`indexes`	`market/indexes`	Major stock market index per country
`bonds`	`market/bonds`	10-year government bond yields per country

More market collections are being added continuously.

Gis: TRADING ECONOMICS | GIS FRED

Mon, 01 Jan 0001 00:00:00 +0000

Federal Reserve Economic Data (FRED), maintained by the Federal Reserve Bank of St. Louis, aggregates hundreds of thousands of US economic time series from federal, state, and private agencies. Features are anchored to official US Census boundaries at both the state and county level.

All Indicators — All States

Returns all FRED indicators for all US states.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/states/indicators/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/states/indicators/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-CA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "California",
 "fips": "06",
 "gdp": 3598103,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "population": 39538223,
 "population_date": "2023-12-31",
 "population_unit": "Persons",
 "homeownership_rate": 55.5,
 "homeownership_rate_date": "2023-12-31",
 "homeownership_rate_unit": "percent"
 }
 }
]

Single Indicator — All States

Returns a single indicator across all US states.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/states/indicators/gdp/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/states/indicators/gdp/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-TX",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "Texas",
 "fips": "48",
 "gdp": 2355960,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million"
 }
 },

 {
 "type": "Feature",
 "id": "US-AL",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "Alabama",
 "fips": "48",
 "gdp": 2355960,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million"
 }
 }
]

All Indicators — Single State

Returns all indicators for a specific state.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/states/california/indicators/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/states/california/indicators/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-CA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "California",
 "fips": "06",
 "gdp": 3598103,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million",
 "population": 39538223,
 "population_date": "2023-12-31",
 "population_unit": "Persons",
 "homeownership_rate": 55.5,
 "homeownership_rate_date": "2023-12-31",
 "homeownership_rate_unit": "percent",
 "poverty": 11.6,
 "poverty_date": "2023-12-31",
 "poverty_unit": "percent"
 }
 }
]

Using Parameters

Filter by specific states and indicator.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/states/indicators/items?c={your_api_key}&states=california,texas&indicator=gdp'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/states/indicators/items?c=${your_api_key}&states=california,texas&indicator=gdp`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-CA",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "California",
 "fips": "06",
 "gdp": 3598103,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million"
 }
 },
 {
 "type": "Feature",
 "id": "US-TX",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "state": "Texas",
 "fips": "48",
 "gdp": 2355960,
 "gdp_date": "2023-12-31",
 "gdp_unit": "USD Million"
 }
 }
]

All Indicators — All Counties

Returns all FRED indicators for all US counties.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-06037",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "county": "Los Angeles County",
 "state": "California",
 "fips": "06037",
 "population": 10014009,
 "population_date": "2023-12-31",
 "population_unit": "Persons",
 "unemployment_rate": 4.8,
 "unemployment_rate_date": "2024-01-31",
 "unemployment_rate_unit": "percent",
 "homeownership_rate": 47.2,
 "homeownership_rate_date": "2023-12-31",
 "homeownership_rate_unit": "percent",
 "private_establishments": 248731,
 "private_establishments_date": "2023-12-31",
 "private_establishments_unit": "establishments",
 "poverty_all_ages": 16.3,
 "poverty_all_ages_date": "2023-12-31",
 "poverty_all_ages_unit": "percent",
 "premature_death_rate": 312.4,
 "premature_death_rate_date": "2023-12-31",
 "premature_death_rate_unit": "per 100,000"
 }
 }
]

Single Indicator — All Counties

Returns a single indicator across all US counties.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/gdp/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/gdp/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-06037",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "county": "Los Angeles County",
 "state": "California",
 "fips": "06037",
 "unemployment_rate": 4.8,
 "unemployment_rate_date": "2024-01-31",
 "unemployment_rate_unit": "percent"
 }
 }
]

All Indicators — Single State’s Counties

Returns all indicators for all counties within a specific state.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/counties/california/indicators/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/counties/california/indicators/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-06037",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "county": "Los Angeles County",
 "state": "California",
 "fips": "06037",
 "population": 10014009,
 "population_date": "2023-12-31",
 "population_unit": "Persons",
 "unemployment_rate": 4.8,
 "unemployment_rate_date": "2024-01-31",
 "unemployment_rate_unit": "percent",
 "homeownership_rate": 47.2,
 "homeownership_rate_date": "2023-12-31",
 "homeownership_rate_unit": "percent",
 "private_establishments": 248731,
 "private_establishments_date": "2023-12-31",
 "private_establishments_unit": "establishments",
 "poverty_all_ages": 16.3,
 "poverty_all_ages_date": "2023-12-31",
 "poverty_all_ages_unit": "percent",
 "premature_death_rate": 312.4,
 "premature_death_rate_date": "2023-12-31",
 "premature_death_rate_unit": "per 100,000"
 }
 }
]

Using Parameters

Filter by state and indicator — returns a specific indicator for all counties in a single state.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/items?c={your_api_key}&indicator=unemployment-rate&states=florida'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/fred/counties/indicators/items?c=${your_api_key}&indicator=unemployment-rate&states=florida`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "US-12086",
 "geometry": { "type": "Polygon", "coordinates": [ ... ] },
 "properties": {
 "county": "Miami-Dade County",
 "state": "Florida",
 "fips": "12086",
 "unemployment_rate": 3.9,
 "unemployment_rate_date": "2024-01-31",
 "unemployment_rate_unit": "percent"
 }
 }
]

Response Properties

Each indicator value on a feature follows this naming pattern:

Property	Description	Example
`{slug}`	Latest value	`gdp`: `25462700`
`{slug}_date`	Date of latest value	`gdp_date`: `"2023-12-31"`
`{slug}_unit`	Unit of measurement	`gdp_unit`: `"USD Million"`
`{slug}_frequency`	Data frequency	`gdp_frequency`: `"Yearly"`
`{slug}_previous_value`	Previous period value	`gdp_previous_value`: `23315081`
`{slug}_previous_date`	Previous period date	`gdp_previous_date`: `"2022-12-31"`
`{slug}_source`	Data source	`gdp_source`: `"World Bank"`

Slug is lowercase with hyphens converted to underscores (e.g. interest-rate → interest_rate).

Available FRED Indicators

Indicator	Symbol Pattern	Description
`population`	`POP`	Resident Population by US County
`unemployment-rate`	`URN`	Unemployment Rate by US County
`homeownership-rate`	`HOWNRATE`	Homeownership Rate (5-year estimate) by US County
`private-establishments`	`ENU`	Number of Private Establishments for All Industries by US County
`poverty-all-ages`	`PUAAA`	Poverty Universe, All Ages by US County
`premature-death-rate`	`CDC20N2U`	Premature Death Rate by US County

More county-level indicators are being added continuously.

Gis: TRADING ECONOMICS | GIS COMTRADE

Mon, 01 Jan 0001 00:00:00 +0000

UN Comtrade bilateral trade data returned as LineString geometry — each feature connects an origin country’s centroid to its trading partner, covering over 200 reporting countries since 1962. Line thickness can be scaled by trade value for visual impact.

Export Flows

Trade exports from a specific country to all trading partners.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/comtrade/exports/china/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/comtrade/exports/china/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "CHN_USA_2023_export",
 "geometry": {
 "type": "LineString",
 "coordinates": [ [116.40, 39.90], [-77.03, 38.89] ]
 },
 "properties": {
 "origin_country": "China",
 "origin_iso3": "CHN",
 "destination_country": "United States",
 "destination_iso3": "USA",
 "trade_value": 500000000000,
 "year": 2023,
 "trade_type": "export",
 "category": "Total",
 "last_update": "2024-03-15",
 "importance": 1
 }
 }
]

Import Flows

Trade imports into a specific country from all trading partners.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/comtrade/imports/germany/items?c={your_api_key}'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/comtrade/imports/germany/items?c=${your_api_key}`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "DEU_CHN_2023_import",
 "geometry": {
 "type": "LineString",
 "coordinates": [ [10.45, 51.16], [116.40, 39.90] ]
 },
 "properties": {
 "origin_country": "China",
 "origin_iso3": "CHN",
 "destination_country": "Germany",
 "destination_iso3": "DEU",
 "trade_value": 109000000000,
 "year": 2023,
 "trade_type": "import",
 "category": "Total",
 "last_update": "2024-03-15",
 "importance": 1
 }
 }
]

Using Parameters

Filter by partner countries and year range.

import requests
your_api_key = 'your_api_key'
url = f'https://api.tradingeconomics.com/gis/collections/comtrade/exports/china/items?c={your_api_key}&partners=France,Italy,United States&yearFrom=2020&yearTo=2025'
data = requests.get(url).json()
print(data)

const axios = require('axios');
(async () => {
 const your_api_key = 'your_api_key'
 const response = await axios.get(`https://api.tradingeconomics.com/gis/collections/comtrade/exports/china/items?c=${your_api_key}&partners=France,Italy,United States&yearFrom=2020&yearTo=2025`)
 console.log(response.data)
})()

Response

[
 {
 "type": "Feature",
 "id": "CHN_FRA_2022_export",
 "geometry": {
 "type": "LineString",
 "coordinates": [ [116.40, 39.90], [2.35, 48.86] ]
 },
 "properties": {
 "origin_country": "China",
 "origin_iso3": "CHN",
 "destination_country": "France",
 "destination_iso3": "FRA",
 "trade_value": 72000000000,
 "year": 2022,
 "trade_type": "export",
 "category": "Total",
 "last_update": "2024-03-15",
 "importance": 3
 }
 }
]

Response Properties

Property	Type	Description
`origin_country`	string	Exporting country name
`origin_iso3`	string	Exporting country ISO3 code
`destination_country`	string	Importing country name
`destination_iso3`	string	Importing country ISO3 code
`trade_value`	number	Trade value in USD
`year`	int	Data year
`trade_type`	string	`export` or `import`
`category`	string	Trade category (e.g. `Total`)
`last_update`	string	Last data update date
`importance`	int	Trade partner ranking

Gis: TRADING ECONOMICS | QGIS

Mon, 01 Jan 0001 00:00:00 +0000

QGIS is a free, open-source desktop GIS application that lets you load, visualize, edit, and analyze spatial data from virtually any source — files, databases, web services, or live APIs. Download the Long term Release QGIS Desktop 3.40 LTR

Before you start: Make sure to authenticate via Authentication Proxy .

Accessing Data In QGIS

Trading Economics exposes its data through the OGC API – Features standard, which QGIS supports natively. There are two ways to connect: browsing all available collections through an OGC connection, or loading a specific filtered dataset directly via URL. Use Method 1 to explore what’s available; use Method 2 when you already know the exact endpoint and filters you need.

Method 1 — OGC API Connection

This creates a persistent connection in QGIS that lists every Trading Economics collection. You can browse, preview, and add layers without memorising endpoint URLs.

Layer → Add Layer → Add WFS/OGC API – Features Layer…
Click New and set:
- Name: Trading Economics GIS
- URL: http://localhost:8080/gis
Click OK → Connect.
Select a collection from the list → Add.

Method 2 — Vector Layer (direct URL with filters)

Use this when you want to load a specific filtered dataset. You can append any query parameters from the Indicators, Markets, Federal Reserves, or Comtrade endpoint pages directly in the URL.

Layer → Add Layer → Add Vector Layer…
Source type: Protocol: HTTP(S), cloud, etc. → Protocol: HTTP/HTTPS/FTP
Paste the full URL → Add:

http://localhost:8080/gis/collections/indicators/gdp/items?countries=China,Germany

Styling Examples

Once a Trading Economics layer is loaded, QGIS renders it with a default single-colour fill. The sections below show how to turn the raw data into meaningful visualisations

1. Choropleth Map

A choropleth map shades each country or region according to its indicator value, making it easy to spot patterns at a glance — for example, which countries have the highest GDP or the steepest inflation.

Right-click layer → Properties → Symbology → Graduated
Set Value to the indicator field (e.g. gdp_value, inflation_rate_value, bond_yield)
Choose a color ramp (e.g. yellow→red for intensity, green→red for good/bad)
Set Mode to Natural Breaks (Jenks), choose number of classes → Classify → OK

Example Project

The map below was created by loading US state GDP data directly into ArcGIS Pro from the FRED States endpoint and applying a graduated color scheme.

http://localhost:8080/gis/collections/fred/states/indicators/gdp/items

2. Trade Flow Line Width (data-driven)

Comtrade trade-flow layers are rendered as lines connecting exporter and importer countries. Scaling line width by trade value makes major trade corridors stand out immediately.

Symbology → click the Line symbol → Data defined override next to Stroke width → Assistant…
Configure:
- Source: trade_value
- Values from: click Fetch value range from layer
- Size from: 0.1 to 1.5 mm
- Scale method: Exponential, Exponent: 0.52
Click OK

3. Temporal Animations

Several Trading Economics endpoints support historical ranges via yearFrom and yearTo query parameters. When you load multi-year data, each feature carries a date field that QGIS can use to animate changes over time — watch GDP shift across continents, track rising unemployment, or see trade flows evolve year by year.

http://localhost:8080/gis/collections/indicators/population/items?yearFrom=2015&yearTo=2025

Set up temporal control:

Right-click layer → Properties → Temporal
Enable Dynamic Temporal Control
Set configuration to Single field with Date/Time, field: date, duration: 1 Year
Click OK

Animate:

View → Panels → Temporal Controller
Set Start: 2015-01-01, End: 2025-12-31, Step: 1 Year
Press Play (optionally enable Loop)

Gis: TRADING ECONOMICS | ArcGIS Pro

Mon, 01 Jan 0001 00:00:00 +0000

ArcGIS Pro is Esri’s professional desktop GIS application for spatial analysis, cartography, and data management. It supports the OGC API – Features standard, which means you can connect directly to the Trading Economics Geospatial API and load economic indicators, market data, and trade flows as live map layers inside your ArcGIS projects.

Before you start: ArcGIS Pro 3.x with a valid license and the Authentication Proxy running at port 8080.

Adding Layers in ArcGIS Pro

Trading Economics serves GeoJSON through the OGC API – Features standard. ArcGIS Pro can consume this via an OGC API connection or by adding GeoJSON data directly from a URL.

Method 1 — OGC API – Features Connection (recommended)

This registers the Trading Economics service as a server connection, letting you browse all available collections from the Catalog pane.

In the Catalog pane, right-click Servers → New OGC API Server.
Set Server URL to: http://localhost:8080/gis
Click OK. The connection appears under Servers.
Expand the connection to see all available collections.
Right-click a collection → Add To Current Map.

Method 2 — Add Data from URL

Use this when you already know the specific endpoint and filters you need. You can append any query parameters from the Indicators, Markets, FRED, or COMTRADE endpoint pages directly in the URL.

On the Map tab, click Add Data → Data From Path.
Paste the full URL (e.g. http://localhost:8080/gis/collections/indicators/gdp/items?countries=China,Germany).
Click Add.

Styling

Once a Trading Economics layer is loaded, ArcGIS Pro renders it with a default single-symbol style. The sections below show how to create meaningful visualizations — colour-coding countries by indicator value (choropleth) or scaling trade-flow lines by volume.

Choropleth — Graduated Colors

Select the layer in the Contents pane.
On the Feature Layer contextual tab, click Symbology → Graduated Colors.
Set Field to the indicator (e.g. gdp_value, inflation_rate_value, bond_yield).
Choose a Color scheme (e.g. yellow-to-red for intensity).
Set Method to Natural Breaks (Jenks) and pick the number of classes.
Click Apply.

Trade Flow Line Width (data-driven)

Comtrade trade-flow layers are rendered as lines connecting exporter and importer countries. Scaling line width by trade value makes major trade corridors stand out immediately.

Open the Symbology pane for the line layer.
Choose Graduated Symbols or Proportional Symbols.
Set Field to trade_value.
Configure the minimum and maximum symbol sizes (e.g. 0.5 to 5 pt).
Click Apply.

Alternatively, use an Arcade expression on the line symbol’s width property for finer control:

// Scale trade_value to a line width between 0.5 and 5 pt
var minVal = 0;
var maxVal = 1000000000;
return 0.5 + 4.5 * (($feature.trade_value - minVal) / (maxVal - minVal));

Time Slider

Several Trading Economics endpoints support historical ranges via yearFrom and yearTo query parameters. When you load multi-year data, each feature carries a date field that ArcGIS Pro can use to animate changes over time — watch GDP shift across continents, track rising unemployment, or see trade flows evolve year by year.

# Example: population data across 10 years
http://localhost:8080/gis/collections/indicators/population/items?yearFrom=2015&yearTo=2025

Enable time on the layer:

Right-click the layer → Properties → Time.
Set Layer Time to Each feature has a single time field.
Set Time Field to date.
Set Time Extent — Start: 2015, End: 2025.
Click OK.

Animate:

The Time Slider appears automatically at the top of the map view.
Set Time Span to 1 Year.
Click Play to step through the data year by year.

Gis: TRADING ECONOMICS | GIS Authentication

Mon, 01 Jan 0001 00:00:00 +0000

To access the Trading Economics Geospatial API, you’ll need an API key. Subscribe to a plan at tradingeconomics.com/api/pricing.aspx and retrieve your key at developer.tradingeconomics.com. Since some GIS applications have limitations in how they pass API credentials, we recommend running a lightweight local proxy.

Caddy Proxy

Caddy is a free, open-source web server known for its simplicity — a single binary, no dependencies, and a minimal configuration file. For this use case it acts as a local reverse proxy, sitting between your GIS client and the Trading Economics API and forwarding your credentials automatically so you never have to configure authentication inside QGIS or ArcGIS.

Setup Caddy

1. Install

curl.exe https://webi.ms/caddy | powershell

brew install caddy

curl -sS https://webi.sh/caddy | sh

2. Run Caddy

Replace key:secret with your Trading Economics API credentials.

caddy reverse-proxy --from :8080 --to https://api.tradingeconomics.com --header-up "Authorization: key:secret"

Note

Do not point QGIS at https://api.tradingeconomics.com directly.
Always use http://localhost:8080 as the base URL in QGIS.