Central Europe and the Baltics vs Hong Kong, China: General government final consumption expenditure (constant 2015 US$)

Central Europe and the Baltics
262,615 constant 2015 US$ per square kilometre
in 2023
Hong Kong, China
39.24 million constant 2015 US$ per square kilometre
in 2023
Central Europe and the Baltics rank
5th
Hong Kong, China rank
3rd

General government final consumption expenditure (constant 2015 US$) over time

  • Central Europe and the Baltics
  • Hong Kong, China
010.0M20.0M30.0M40.0M196119922023

How they compare

Hong Kong, China currently reports 39.24 million constant 2015 US$ per square kilometre against 262,615 constant 2015 US$ per square kilometre in Central Europe and the Baltics, a difference of 38.97 million constant 2015 US$ per square kilometre.

That makes Hong Kong, China's figure about 149.4 times Central Europe and the Baltics's.

Across all 29 years both countries report, Hong Kong, China has been ahead every year.

Central Europe and the Baltics ranks 5th and Hong Kong, China ranks 3rd of 33 groups.

Hong Kong, China has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Central Europe and the Baltics Hong Kong, China Difference Ahead
1990s 149,577 constant 2015 US$ per square kilometre 18.24 million constant 2015 US$ per square kilometre 18.09 million constant 2015 US$ per square kilometre Hong Kong, China
2000s 178,682 constant 2015 US$ per square kilometre 21.98 million constant 2015 US$ per square kilometre 21.80 million constant 2015 US$ per square kilometre Hong Kong, China
2010s 210,600 constant 2015 US$ per square kilometre 28.22 million constant 2015 US$ per square kilometre 28.01 million constant 2015 US$ per square kilometre Hong Kong, China
2020s 253,404 constant 2015 US$ per square kilometre 38.40 million constant 2015 US$ per square kilometre 38.15 million constant 2015 US$ per square kilometre Hong Kong, China

Averages of every year both report within each decade.

Frequently asked questions

Which has higher general government final consumption expenditure (constant 2015 us$), Central Europe and the Baltics or Hong Kong, China?
Hong Kong, China, at 39.24 million constant 2015 US$ per square kilometre against 262,615 constant 2015 US$ per square kilometre in Central Europe and the Baltics as of 2023.
What is the difference in general government final consumption expenditure (constant 2015 us$) between Central Europe and the Baltics and Hong Kong, China?
38.97 million constant 2015 US$ per square kilometre, with Hong Kong, China ahead.
How many years of comparable data are there for Central Europe and the Baltics and Hong Kong, China?
29 years are reported by both, from 1995 to 2023.
How do Central Europe and the Baltics and Hong Kong, China rank globally for general government final consumption expenditure (constant 2015 us$)?
Central Europe and the Baltics ranks 5th and Hong Kong, China ranks 3rd of 33 groups.
Where does this data come from?
Statizoid (derived), published as General government final consumption expenditure (constant 2015 US$), per square kilometre. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Central Europe and the Baltics vs Hong Kong, China: General government final consumption expenditure (constant 2015 US$). Statizoid, drawing on Statizoid (derived). Retrieved 16 September 2026, from https://economy.statizoid.com/compare/general-government-final-consumption-expenditure-constant-2015-us-per-square-kilometre/central-europe-and-the-baltics/hong-kong-sar-china/

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About this data

Indicator
General government final consumption expenditure (constant 2015 US$), per square kilometre
Unit
constant 2015 US$ per square kilometre
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
199 places, 8,054 data points, 1961–2023
Last refreshed

General government final consumption expenditure (constant 2015 US$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.