The population density in Peru saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 26.15 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density is calculated by dividing the total population by the total land area, to show the average number of people living there per square kilometer of land.Find more key insights for the population density in countries like Bolivia and Ecuador.
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Population density (people per sq. km of land area) in Peru was reported at 26.15 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Peru PE: Population Density: People per Square Km data was reported at 25.129 Person/sq km in 2017. This records an increase from the previous number of 24.823 Person/sq km for 2016. Peru PE: Population Density: People per Square Km data is updated yearly, averaging 16.694 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 25.129 Person/sq km in 2017 and a record low of 8.086 Person/sq km in 1961. Peru PE: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;
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Historical chart and dataset showing Peru population density by year from 1961 to 2022.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
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Peru: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Peru from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .
The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.
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Context
The dataset tabulates the population of Peru by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Peru across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 56.15% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Peru Population by Race & Ethnicity. You can refer the same here
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PE: Population Density: Inhabitants per sq km data was reported at 26.150 Person in 2022. This records an increase from the previous number of 25.900 Person for 2021. PE: Population Density: Inhabitants per sq km data is updated yearly, averaging 22.130 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 26.150 Person in 2022 and a record low of 17.200 Person in 1990. PE: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Peru – Table PE.OECD.GGI: Social: Demography: Non OECD Member: Annual.
The population density in Ecuador saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 71.77 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Peru and Bolivia.
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Context
The dataset tabulates the population of Peru by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Peru. The dataset can be utilized to understand the population distribution of Peru by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Peru. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Peru.
Key observations
Largest age group (population): Male # 75-79 years (24) | Female # 65-69 years (12). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Peru Population by Gender. You can refer the same here
In 2022, the population density in Bolivia remained nearly unchanged at around 11.15 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the average number of residents per square kilometer of land across a given country or region. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Ecuador and Peru.
In 2024, Peru is projected to finish the year with 34 million inhabitants. The women are the majority in the South American country, with 17.16 million, while there were 16.88 million men.
In 2023, the share of urban population in Peru remained nearly unchanged at around 78.92 percent. Nevertheless, 2023 still represents a peak in the share in Peru with 78.92 percent. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Ecuador and Bolivia.
4.23 (Persons per Sq. Km) in 2007.
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License information was derived automatically
Context
The dataset tabulates the Peru population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Peru. The dataset can be utilized to understand the population distribution of Peru by age. For example, using this dataset, we can identify the largest age group in Peru.
Key observations
The largest age group in Peru, KS was for the group of age 65 to 69 years years with a population of 29 (17.58%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Peru, KS was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Peru Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays population (people) by capital city using the aggregation sum in Peru. The data is filtered where the date is 2021. The data is about countries per year.
11,10 (Persons per Sq. Km) in 2007.
242,70 (Persons per Sq. Km) in 2007.
14,20 (Persons per Sq. Km) in 2007.
The population density in Peru saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 26.15 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density is calculated by dividing the total population by the total land area, to show the average number of people living there per square kilometer of land.Find more key insights for the population density in countries like Bolivia and Ecuador.