List of regions by past GDP (PPP)

These are lists of regions and countries by their estimated real gross domestic product in terms of purchasing power parity, the value of all final goods and services produced within a country/region in a given year. GDP dollar estimates here are derived from PPP estimates.

Methodology

In the absence of sufficient data for nearly all economies until well into the 19th century, past GDP cannot be calculated, but at best only roughly estimated. In a first step, economic historians try to reconstruct the GDP per capita for a given political or geographical entity from the meagre evidence. This value is then multiplied by estimated population size, another determinant for which as a rule only little ancient data is available.
A key notion in the whole process is that of subsistence, the income level which is necessary for sustaining one's life. Since pre-modern societies, by modern standards, were characterized by a very low degree of urbanization and a large majority of people working in the agricultural sector, economic historians prefer to express income in cereal units. To achieve comparability over space and time, these numbers are then converted into monetary units such as International Dollars, a third step which leaves a relatively wide margin of interpretation.
The formula thus is: GDP = GDP per capita x population size
It should be stressed that, historically speaking, population size is the far more important multiplier in the equation. This is because, in contrast to industrial economies, the average income ceiling of premodern agrarian societies was quite low everywhere, possibly not higher than twice the subsistence level. Therefore, the total GDP as given below primarily reflects the respective historical population size, and is much less indicative of contemporary living standards than, for example, estimations of past GDP per capita are.
According to the 20th-century macroeconomist Paul Bairoch, a pioneer in historical economic analysis,
Rather, Bairoch advocates a formula combining GNP per capita and total GNP to give a better measure of the economic performance of national economies.

World

1000000 BCE–2019

The following estimates are taken exclusively from a 2020 reseach paper.

Year	Population	GDP per capita	GDP in billion
1000000 BCE	0.125	400	0.05
300000 BCE	1	400	0.40
25000 BCE	3.34	400	1.34
10000 BCE	4	400	1.60
5000 BCE	5	404	2.02
4000 BCE	7	409	2.87
3000 BCE	14	421	5.90
2000 BCE	27	433	11.7
1000 BCE	50	444	22.2
500 BCE	100	457	45.7
200 BCE	150	465	69.7
1	168	467	78.4
200	190	463	88.0
400	190	463	88.0
500	190	463	88.0
600	200	462	92.3
700	210	460	96.6
800	220	459	101
900	240	456	109
1000	265	453	120
1100	320	512	164
1200	360	551	198
1300	360	551	198
1400	350	541	190
1500	438	625	274
1600	556	629	350
1700	603	658	397
1820	1,042	712	741
1870	1,276	884	1,128
1900	1,563
1913	1,793	1,543	2,767
1920	1,863
1940	2,299	2,181	5,013
1950	2,528	2,104	5,318
1960	3,042	2,764	12,170
1970	3,691	3,725	13,751
1980	4,440	4,511	20,026
1990	5,269	5,149	27,133
2000	6,077	6,057	36,806
2010	6,873	7,814	53,704
2019	7,620	9,663	73,640

1750–1990 (Bairoch)

In his 1995 book Economics and World History, economic historian Paul Bairoch gave the following estimates in terms of 1960 US dollars, for GNP from 1750 to 1990, comparing what are today the Third World and the First World
A Third World refers to Asia, Africa, and Latin America.
B First World refers to Europe, Russia, the United States, Canada, and Japan.

1–2008 (Maddison)

The following estimates are taken exclusively from the 2007 monograph Contours of the World Economy, 1–2030 AD by the British economist Angus Maddison.

Country / Region	1	1000	1500	1600	1700	1820	1870	1913	1950	1973	1989	2008
Austria	213	298	1,414	2,093	2,483	4,104	8,419	23,451	25,702	85,227	124,791	198,004
Belgium	135	170	1,225	1,561	2,288	4,529	13,716	32,347	47,190	118,516	166,396	246,103
Denmark	72	144	443	569	727	1,471	3,782	11,670	29,654	70,032	93,728	135,037
Finland	8	16	136	215	255	913	1,999	6,389	17,051	51,724	84,092	127,676
France	2,366	2,763	10,912	15,559	19,539	35,468	72,100	144,489	220,492	683,965	1,000,286	1,423,562
Germany	1,225	1,435	8,256	12,656	13,650	26,819	72,149	237,332	265,354	944,755	1,302,212	1,713,405
Italy	6,475	2,250	11,550	14,410	14,630	22,535	41,814	95,487	164,957	582,713	906,053	1,157,636
Netherlands	85	128	723	2,072	4,047	4,288	9,952	24,955	60,642	175,791	247,906	411,055
Norway	40	80	183	266	361	777	2,360	5,988	17,728	44,852	76,733	132,365
Sweden	80	160	382	626	1,231	3,098	6,927	17,403	47,269	109,794	149,415	193,352
Switzerland	128	123	411	750	1,068	2,165	5,581	16,483	42,545	117,251	141,599	190,328
UK	320	800	2,815	6,007	10,709	36,232	100,180	224,618	347,850	675,941	940,908	1,446,959
12 country total	11,146	8,366	38,450	56,784	70,988	142,399	338,979	840,612	1,286,434	3,660,561	5,235,115	7,402,911
Portugal	180	255	606	814	1,638	3,043	4,219	7,467	17,615	63,397	102, 922	154,132
Spain	1,867	1,800	4,495	7,029	7,481	12,299	19,556	41,653	61,429	266,896	454,166	797,927
Other	1,240	504	632	975	1,106	2,110	4,712	12,478	30,600	105,910	169,648	343,059
Total Western Europe	14,433	10,925	44,183	65,602	81,213	159,851	367,466	902,210	1,396,078	4,096,764	5,961,851	8,698,029
Eastern Europe	1,956	2,600	6,696	9,289	11,393	24,906	50,163	134,793	185,023	550,756	718,039	1,030,628
Former USSR	1,560	2,840	8,458	11,426	16,196	37,678	83,646	232,351	510,243	1,513,070	2,037,253	2,242,206
United States	272	520	800	600	527	12,548	98,374	517,383	1,455,916	3,536,622	5,703,521	9,485,136
Other Western offshoots	176	228	320	320	306	951	13,119	65,558	179,574	521,667	856,847	1,448,542
Total Western offshoots	448	748	1,120	920	833	13,499	111,493	582,941	1,635,490	4,058,289	6,560,368	10,933,678
Mexico	880	1,800	3,188	1,134	2,558	5,000	6,214	25,921	67,368	279,302	491,767	877,312
Other Latin America	1,360	2,760	4,100	2,629	3,788	9,921	21,097	94,875	347,960	1,110,158	1,735,919	3,168,621
Total Latin America	2,240	4,560	7,288	3,763	6,346	14,921	27,311	120,796	415,328	1,389,460	2,227,686	4,045,933
Japan	1,200	3,188	7,700	9,620	15,390	20,739	25,393	71,653	160,966	1,242,932	2,208,858	2,904,141
China	26,820	26,550	61,800	96,000	82,800	228,600	189,740	241,431	244,985	739,414	2,051,813	8,908,894
India	33,750	33,750	60,500	74,250	90,750	111,417	134,882	204,242	222,222	494,832	1,043,912	3,415,183
Other east Asia	4,845	8,968	20,822	24,582	28,440	36,451	53,155	122,874	256,938	829,023	2,021,528	5,154,979
West Asia	10,120	12,415	10,495	12,637	12,291	15,270	22,468	40,588	106,283	548,120	855,130	1,905,346
Total Asia	75,535	81,683	153,617	207,469	214,281	391,738	400,245	609,135	830,428	2,621,624	5,972,383	19,384,402
Africa	8,030	13,835	19,383	23,473	25,776	31,266	45,234	79,486	203,131	549,993	889,922	1,734,918
World	105,402	120,379	248,445	331,562	371,428	694,598	1,110,951	2,733,365	5,331,689	16,022,888	26,576,359	50,973,935
Country / Region	1	1000	1500	1600	1700	1820	1870	1913	1950	1973	1989	2008

A From 1 AD to 1913 AD, India includes modern Pakistan and Bangladesh. From 1950 onwards, India refers only to the modern Republic of India.
Maddison' assumptions have been both admired and criticized by academics and journalists. By Bryan Haig, who has characterized Maddison's figures for 19th century Australia as "inaccurate and irrelevant",, by W. W. Rostow, according to whom "this excessive macroeconomic bias also causes him to mis-date, in my view, the beginning of what he calls the capitalist era at 1820 rather than, say, the mid-1780s."
W. J. MacPherson has described Maddison's work on early medieval India of using "dubious comparative data." Maddison's estimates have also been critically reviewed and revised by the Italian economists Giovanni Federico and Elio Lo Cascio/Paolo Malanima.
However, economist and journalist Evan Davis has praised Maddison's research by citing it as a "fantastic publication" and that it was "based on the detailed scholarship of the world expert on historical economic data Angus Maddison." He also added that "One shouldn't read the book in the belief the statistics are accurate to 12 decimal places."

Europe

1830–1938 (Bairoch)

The following estimates were made by the economic historian Paul Bairoch. Contrary to most other estimates on this page, the GNP is given here in 1960 US dollars. Unlike Maddison, Bairoch allows for the fluctuation of borders, basing his estimates mostly on the historical boundaries at the given points in time.

Country / Region	1830	1840	1850	1860	1870	1880	1890	1900	1910	1913	1925	1938
Austria	–	–	–	–	–	–	–	–	–	–	4,314	4,320
Austria-Hungary	7,210	8,315	9,190	9,996	11,380	12,297	15,380	19,400	23,970	26,050	–	–
Baltic countries	–	–	–	–	–	–	–	–	–	–	2,298	2,760
Belgium	1,098	1,397	1,809	2,302	2,882	3,256	3,804	4,800	6,308	6,794	7,658	8,501
Bulgaria	–	–	–	588	616	611	808	970	1,165	1,260	1,613	2,628
Czechoslovakia	–	–	–	–	–	–	–	–	–	–	6,822	8,050
Denmark	256	292	361	476	612	788	1,095	1,544	2,031	2,421	2,893	2,893
Finland	256	295	370	420	550	670	860	1,110	1,395	1,670	1,910	3,339
France	8,582	10,335	11,870	13,326	16,800	17,381	19,758	23,500	26,869	27,401	36,262	39,284
Germany	7,235	8,320	10,395	12,771	16,697	19,993	26,454	35,800	45,523	49,760	45,002	77,178
Greece	–	200	220	250	365	440	640	780	910	1,540	2,340	4,200
Hungary	–	–	–	–	–	–	–	–	–	–	3,025	4,137
Ireland	–	–	–	–	–	–	–	–	–	–	1,862	1,907
Italy	5,570	5,951	6,666	7,466	8,273	8,745	9,435	10,820	12,598	15,624	18,510	23,701
Netherlands	913	1,105	1,318	1,502	1,823	2,188	2,660	3,164	4,150	4,660	6,696	7,987
Norway	316	378	490	642	728	886	1,041	1,286	1,601	1,834	2,370	3,812
Poland	–	–	–	–	–	–	–	–	–	–	7,325	12,885
Portugal	860	945	985	1,100	1,175	1,270	1,360	1,550	1,710	1,800	2,046	2,634
Romania	–	–	760	836	950	1,100	1,350	1,700	2,125	2,450	5,123	6,780
Russia/USSR	10,550	11,200	12,700	14,400	22,920	23,250	21,180	32,000	43,830	52,420	32,600	75,964
Serbia	–	–	–	320	345	382	432	560	700	725	–	–
Spain	3,600	4,150	4,700	5,400	5,300	5,400	5,675	6,500	7,333	7,450	9,498	8,511
Sweden	557	617	729	860	1,025	1,385	1,700	2,358	3,261	3,824	4,627	6,908
Switzerland	580	700	930	1,200	1,460	1,920	2,100	2,599	3,355	3,700	4,300	5,063
United Kingdom	8,245	10,431	12,591	16,072	19,628	23,551	29,441	36,273	40,623	44,074	43,700	56,103
Yugoslavia	–	–	–	–	–	–	–	–	–	–	3,870	5,221
Europe	58,152	66,997	77,937	91,073	114,966	126,975	146,723	188,534	231,550	256,845	257,434	376,947
Western Europe	38,910	–	–	63,670	–	–	–	126,900	-	163,780	179,830	231,560
Eastern Europe	19,240	–	–	27,400	–	–	–	61,640	–	93,060	77,600	145,390
Country / Region	1830	1840	1850	1860	1870	1880	1890	1900	1910	1913	1925	1938

1500–1870 (Lo Cascio/Malanima)

The following estimates are taken from a revision of Angus Maddison's numbers for the whole of Europe by the Italian economists Elio Lo Cascio and Paolo Malanima. According to their calculations, the basic level of European GDP was historically higher, but its increase was less pronounced.

Year	GDP in millions of 1990 International Dollars
1500	111,680
1600	133,760
1700	159,440
1750	205,530
1800	253,900
1870	619,970

Empires

Indian empires

Angus Maddison's above GDP estimates for Indian subcontinent refer to the following empires:

Year	Indian subcontinent	per capita	Avg GDP growth rate	GDP	Population	Population	Period
1	33,750,000,000	450	–	32.0	70,000,000	30.3	Classical India, Maurya Empire
1000	33,750,000,000	450	0.0%	28.0	72,500,000	27.15	Middle kingdoms of India, Satavahana dynasty
1500	60,500,000,000	550	0.117%	24.35	79,000,000	18.0	Medieval India of the combined: Delhi Sultanate, Bengal Sultanate and Vijayanagara Empire
1600	74,250,000,000	550	0.205%	22.39	100,000,000	17.98	Proto-industrialization of the: Mughal Empire, Maratha Empire and Suri Empire
1700	90,750,000,000	550	0.201%	24.43	165,000,000	27.36	Proto-industrialization of the: Mughal Empire, Maratha Empire and Suri Empire
1820	111,417,000,000	533	0.171%	16.04	209,000,000	20.06	Proto-industrialization of the: Mughal Empire, Maratha Empire and Suri Empire
1870	134,882,000,000	533	0.975%	12.14	253,000,000	19.83	Colonial India of: British India, Kingdom of Mysore, Portuguese India, French India, and Princely state's of Nizam of Hyderabad
1913	204,242,000,000	673	0.965%	7.47	303,700,000	16.64	Colonial India of: British India, Kingdom of Mysore, Portuguese India, French India, and Princely state's of Nizam of Hyderabad

Chinese empires

Angus Maddison's above GDP estimates for China refer to the following empires:

Year	Chinese region	per capita	Avg GDP growth rate	GDP	Population	Population	Period
1	26,820,000,000	450	—	25.45	59,600,000	26.39	Han dynasty
1000	26,550,000,000	466	0.0%	22.06	59,000,000	22.07	Song dynasty
1500	61,800,000,000	600	0.17%	24.87	103,000,000	23.49	Ming dynasty
1600	96,000,000,000	600	0.44%	28.95	160,000,000	28.77	Ming dynasty
1700	82,800,000,000	600	-0.15%	22.29	138,000,000	22.87	Qing dynasty
1820	228,600,000,000	600	0.85%	32.91	381,000,000	36.57	Qing dynasty
1870	189,740,000,000	530	-0.37%	17.08	358,000,000	28.06	Qing dynasty
1913	241,431,000,000	552	0.56%	8.83	437,140,000	24.38	Republic of China

Roman/Byzantine Empire

Much work in estimating past GDP has been done in the study of the Roman economy, following the pioneering studies by Keith Hopkins and Raymond Goldsmith. The estimates by Peter Temin, Angus Maddison, Branko Milanović and Peter Fibiger Bang follow the basic method established by Goldsmith, varying mainly only in their set of initial numbers; these are then stepped up to estimations of the expenditure checked by those on the income side. Walter Scheidel/Steven Friesen determine GDP on the relationship between certain significant economic indicators which were historically found to be plausible; two independent control assumptions provide the upper and lower limit of the probable size of the Roman GDP.
B Decimal fractions rounded to the nearest tenth. Italic numbers not directly given by the authors; they are obtained by multiplying the respective value of GDP per capita by estimated population size.
The GDP per capita of the Byzantine Empire, the continuation of the Roman Empire in the east, has been estimated by the World Bank economist Branko Milanović to range between $680 and 770 at its peak around 1000 AD, that is the reign of Basil II. The Byzantine population size at the time is estimated to have been 12 to 18 million. This would yield a total GDP somewhere between $8,160 and 13,860 million.

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