{"historical_years":[2024,2023,2020,2015,2010,2005,2000,1995,1990,1985,1980,1975,1970,1965,1960,1955,1950,1945,1940,1935,1930,1925,1920,1915,1910,1905,1900]}
curl --location --request POST 'https://zylalabs.com/api/6019/europe+population+metrics+api/8082/get+historical+years' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{"1900":{"Population":406595430,"Density (\/km\u00b2)":18,"Change":"0%"}}
curl --location --request POST 'https://zylalabs.com/api/6019/europe+population+metrics+api/8083/get+historical+population+data+by+year' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"year":"Required"}'
{"projection_years":[2099,2094,2089,2084,2079,2074,2069,2064,2059,2054,2049,2044,2039,2034,2029,2024]}
curl --location --request POST 'https://zylalabs.com/api/6019/europe+population+metrics+api/8084/get+projections+years' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{"year":2099,"population":594133469,"density_per_km2":26,"change":-0.27}
curl --location --request POST 'https://zylalabs.com/api/6019/europe+population+metrics+api/8085/get+projection+population+data+by+year' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"year":"Required"}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Europe Population Metrics API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
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To retrieve historical population data, you can use specific endpoints provided by the API that allow you to query data for different years and metrics. Ensure you specify the year and the type of data you need in your API request.
Yes, the Europe Population Metrics API includes projections for future population changes up to the year 2024, allowing users to analyze expected demographic trends based on historical data.
The Europe Population Metrics API provides access to a wide range of population data, including total population figures, population density, annual change rates, and historical data from 1900 to 2024. Additionally, it offers projections and insights into demographic changes across Europe.
This endpoint returns historical population data for Europe, including total population figures, population density (per km²), and the annual change percentage for specified years. For example, a response for the year 1900 includes fields like "Population," "Density (/km²)," and "Change."
The response for this endpoint is structured as a JSON object containing the year, projected population, population density per km², and the percentage change. For instance, a response for 2099 includes fields like "year," "population," "density_per_km2," and "change."
The "get historical years" endpoint does not require any parameters. It simply returns a list of all historical years for which population data is available, allowing users to know which years they can query for detailed population statistics.
This endpoint provides a list of future years for which population projections are available. Users can utilize this information to plan queries for projected population data, helping to analyze expected demographic trends over time.
The key fields in the response include "Population," which indicates the total population for the specified year, "Density (/km²)," representing the population density, and "Change," which shows the percentage change from the previous year.
Users can analyze trends in population growth, density, and demographic changes over time by comparing historical and projected data. For example, by examining the annual change rates, users can identify periods of significant growth or decline in Europe's population.
The API aggregates population data from reputable demographic research organizations, government databases, and international statistical agencies, ensuring a high level of accuracy and reliability in the provided metrics.
Typical use cases include academic research, urban planning, policy-making, and market analysis. Users can leverage the data to understand demographic trends, assess population density for resource allocation, or forecast future population changes for strategic planning.
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The free trial lasts for 7 days and allows you to make up to 50 API requests.
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