Largest Population increase
Mayotte increased by 157914.00% entre 1900 e 2023.
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Entity rankings
Create rankings that sort entities by the available metrics.
Observations269
Entities269
Periods9
Range1920–2023
Largest Population increase
Mayotte increased by 157914.00% entre 1900 e 2023.
Verifiable findings
5 signalsWhat the analysis found
Patterns calculated from the records, without inferring causation.
Largest Population decline
Montserrat declined by 65.76% entre 1900 e 2023.
Population historical series
The dataset contains 124 periods and 269 entities for Population. This supports historical series, rankings, and comparisons.
Highest Population value
World had the highest Population value: 8,091,734,933.00.
Lowest Population value
Svalbard and Jan Mayen had the lowest Population value: 8.00.
02 / Change over time
PopulationHow the data changes over time
Separate lines by entity, highlighting the five largest in the latest period.
WorldAsia (UN)AsiaUpper-middle-income countriesLower-middle-income countries
03 / Transparency
50 of 269 rowsExplore the records
A table sample from the dataset used in this story.
Search by entity, period, or value
| Entity | Code | Year | Population |
|---|---|---|---|
| World | OWID_WRL | 2023 | 8091734933 |
| Asia (UN) | UN_ASI | 2023 | 4778004486 |
| Asia | OWID_ASI | 2023 | 4776659631 |
| Upper-middle-income countries | OWID_UMC | 2023 | 3074336898 |
| Lower-middle-income countries | OWID_LMC | 2023 | 2869912730 |
| Africa (UN) | UN_AFR | 2023 | 1480770518 |
| Africa | OWID_AFR | 2023 | 1479690254 |
| India | IND | 2023 | 1438069597 |
| China | CHN | 2023 | 1422584930 |
| High-income countries | OWID_HIC | 2023 | 1416794460 |
| Americas (UN) | nan | 2023 | 1041794257 |
| Europe | OWID_EUR | 2023 | 746966209 |
| Europe (UN) | UN_EUR | 2023 | 745602870 |
| Low-income countries | OWID_LIC | 2023 | 727162113 |
| Latin America and the Caribbean (UN) | UN_LAC | 2023 | 658891516 |
| North America | OWID_NAM | 2023 | 608770547 |
| European Union (27) | OWID_EU27 | 2023 | 450657572 |
| South America | OWID_SAM | 2023 | 433024223 |
| Northern America (UN) | UN_NAM | 2023 | 382902739 |
| United States | USA | 2023 | 343477330 |
| USSR | OWID_USS | 1991 | 292664161 |
| Indonesia | IDN | 2023 | 281190068 |
| Pakistan | PAK | 2023 | 247504505 |
| Nigeria | NGA | 2023 | 227882949 |
| Brazil | BRA | 2023 | 211140731 |
| Bangladesh | BGD | 2023 | 171466986 |
| Russia | RUS | 2023 | 145440502 |
| Mexico | MEX | 2023 | 129739761 |
| Ethiopia | ETH | 2023 | 128691695 |
| Japan | JPN | 2023 | 124370947 |
| Philippines | PHL | 2023 | 114891199 |
| Egypt | EGY | 2023 | 114535772 |
| Democratic Republic of Congo | COD | 2023 | 105789733 |
| Vietnam | VNM | 2023 | 100352189 |
| Iran | IRN | 2023 | 90608708 |
| Turkey | TUR | 2023 | 87270502 |
| Germany | DEU | 2023 | 84548233 |
| Thailand | THA | 2023 | 71702436 |
| United Kingdom | GBR | 2023 | 68682965 |
| Tanzania | TZA | 2023 | 66617607 |
| France | FRA | 2023 | 66438828 |
| West Germany | OWID_GFR | 1990 | 63250000 |
| South Africa | ZAF | 2023 | 63212386 |
| Italy | ITA | 2023 | 59499452 |
| Ethiopia (former) | OWID_ERE | 1993 | 57190000 |
| Kenya | KEN | 2023 | 55339007 |
| Myanmar | MMR | 2023 | 54133800 |
| Colombia | COL | 2023 | 52321152 |
| South Korea | KOR | 2023 | 51748744 |
| Sudan | SDN | 2023 | 50042800 |