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Bevölkerung, Langzeitreihe: Länder vergleichen

Bevölkerung, Langzeitreihe für bis zu vier Länder nebeneinander.

Verglichene Länder

Land hinzufügen

Bevölkerung, Langzeitreihe nach Land

Bevölkerung, Langzeitreihe

Jährlich, Tausend Personen

Quelle: Maddison Project Database 2023
Bevölkerung, Langzeitreihe: neueste Beobachtungen je Land
Datum Kongo-KinshasaItalienRussland
51.18156.940147.218
52.78256.966146.600
54.45357.004145.980
56.17057.114145.310
57.86057.423144.652
59.59957.852144.071
61.47458.191143.522
63.47958.424143.053
65.59058.781142.809
67.80059.236142.746
70.11459.580142.789
72.55059.844142.853
75.13860.052142.964
77.79260.216143.205
80.53460.337143.510
83.36860.346146.094
86.22960.255146.410
89.19360.140146.678
92.20960.027146.846
95.23259.902146.834
98.32059.754146.768
101.49959.464146.463
104.76759.158145.849
108.17158.966146.693

Source: Bolt, J. and van Zanden, J.L. (2024), Maddison style estimates of the evolution of the world economy: A new 2023 update, Journal of Economic Surveys, 1-41, DOI 10.1111/joes.12618. Licensed under CC BY 4.0. The original sources are listed on each page.

Alle Datenquellen

Originalquellen dieser Schätzungen

GDP pc: 2008 - 2022: Total Economy Database the Conference Board for all countries included in TED. Otherwise UN national accounts statistics

Italien

  • 1451-1861: Chilosi, D., & Ciccarelli, C. (2023). Italy in the Great Divergence: What Can We Learn from Engel’s Law (SSRN Scholarly Paper 4514091).
  • 1861-1871 (North Italy): Malanima, P. (2010), “The long decline of a leading economy: GDP in central and northern Italy, 1300–1913” European Review of Economic History 15 (2): 169–219.
  • 1871-1990: Baffigi, A. (2011).”Italian National Accounts, 1861-2011”, Banca d’Italia Economic History Working Papers 18.

Russland

  • 1860-1885: Kuboniwa, M. (2019). Estimating GDP and Foreign Rents of the Oil and Gas Sector in the Soviet Union and Present-Day Russia. In M. Kuboniwa, Y. Nakamura, K. Kumo, & Y. Shida (Eds.), Russian Economic Development over Three Centuries: New Data and Inferences (pp. 421–438). Springer.

Für Kongo-Kinshasa wird keine eigene Liste veröffentlicht; die Datenbank als Ganzes ist oben genannt.