Holy See Percentage of land area by degree of urbanization 2026: 100 %

Holy See's percentage of land area by degree of urbanization in 2026 is 100 % (estimate), unchanged from 2025. It ranks #1 of 237 countries.

Explore the percentage of land area by degree of urbanization, highlighting how urban development shapes countries' landscapes and influences economic growth. Understanding this statistic reveals the balance between urban and rural spaces, essential for sustainable planning.

Holy See•12 years of data (2015–2026)••United Nations Population Division•

Estimated value for 2026 (interpolated, no direct source).

Historical Trend

Percentage of land area by degree of urbanization over timeSome values are estimated based on historical trends

Year-by-Year Data
YearValueChange% ChangeActions
2026100 %0 %0.00%
2025100 %0 %0.00%
2024100 %0 %0.00%
2023100 %0 %0.00%
2022100 %0 %0.00%
2021100 %0 %0.00%
2020100 %0 %0.00%
2019100 %0 %0.00%
2018100 %0 %0.00%
2017100 %0 %0.00%
2016100 %0 %0.00%
2015100 %——

Frequently Asked Questions About Holy See Percentage of land area by degree of urbanization

What is Holy See's percentage of land area by degree of urbanization in 2026?▾

Holy See's percentage of land area by degree of urbanization is 100 % in 2026 (estimate), according to United Nations Population Division.

Is Holy See's percentage of land area by degree of urbanization increasing or decreasing?▾

Holy See's percentage of land area by degree of urbanization was essentially unchanged from 2025 (100 %) to 2026 (100 %). Over the past decade (2016–2026) it was essentially unchanged.

How does Holy See rank for percentage of land area by degree of urbanization?▾

In 2026, Holy See has the 1st highest percentage of land area by degree of urbanization out of 237 countries with data.

What was Holy See's percentage of land area by degree of urbanization in 2015?▾

In 2015, Holy See's percentage of land area by degree of urbanization was 100 %. By 2026 it was essentially unchanged.

Other Facts about Holy See

Explore additional statistical insights