This statistic shows the biggest cities in Peru in 2022. In 2022, approximately ***** million people lived in Lima, making it the biggest city in Peru.

Peru PE: Population in Largest City data was reported at 10,246,681.000 Person in 2017. This records an increase from the previous number of 10,072,359.000 Person for 2016. Peru PE: Population in Largest City data is updated yearly, averaging 5,610,948.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10,246,681.000 Person in 2017 and a record low of 1,755,920.000 Person in 1960. Peru PE: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Population in largest city in Peru was reported at 11361938 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Peru PE: Population in Largest City: as % of Urban Population data was reported at 40.780 % in 2017. This records an increase from the previous number of 40.597 % for 2016. Peru PE: Population in Largest City: as % of Urban Population data is updated yearly, averaging 38.983 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 40.780 % in 2017 and a record low of 37.282 % in 1960. Peru PE: Population in Largest City: as % of Urban Population 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: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

Population in the largest city (% of urban population) in Peru was reported at 41.96 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Deposit Takers for Peru (PERFCBODDLNUM) from 2004 to 2015 about branches and Peru.

This statistic depicts the largest Peruvian-American population groups living in different counties across the United States as of 2010. At this time there were 40,701 people of Peruvian origin living in Miami-Dade County in Florida.

About this dataset

Context

The dataset tabulates the Peru town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Peru town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Peru town.

Key observations

Among the Hispanic population in Peru town, regardless of the race, the largest group is of Puerto Rican origin, with a population of 169 (51.68% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Peru town
• Population: The population of the specific origin for Hispanic or Latino population in the Peru town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Peru town total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Peru town Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Non-deposit Taking Microfinance Institutions (MFIs) for Peru (PERFCBMFNLNUM) from 2004 to 2015 about microfinance, branches, and Peru.

Graph and download economic data for Geographical Outreach: Number of Automated Teller Machines (ATMs) in 3 Largest Cities for Peru (PERFCACLNUM) from 2004 to 2015 about Peru, ATM, banks, and depository institutions.

Data gathered for: Fishers’ ecological knowledge points to fishing-induced changes in the Peruvian Amazon (2024). Ecological Applications

Scientists increasingly draw on fishers’ ecological knowledge (FEK) to gain a better understanding of fish biology and ecology and inform options for fisheries management. We report on a study of FEK among fishers along the Lower Ucayali River in Peru, a region of exceptional productivity and diversity, which is also a major supplier of fish to the largest city in the Peruvian Amazon. Given a lack of available scientific information on stocks status, we sought to identify temporal changes in the composition and size of exploited species by interviewing fishers from 18 communities who vary in years of fishing experience since the mid-1950s. We develop four FEK-based indicators to assess changes in the fish assemblage and compare findings with landings data. We find an intensification of fishing gear deployed over time, spatiotemporal shifts in the fish assemblage, and reported declines in species weight, which point to a fishing-down process with declines across multiple species. This finding is reflected in a shifting baseline among our participants, whereby younger generation of fishers have different expectations regarding the distribution and size of species. Our study points to the importance of spillover effects from the nearby Pacaya-Samira National Reserve and community initiatives to support the regional fishery and the supply of fish to city markets. Reference to fishers’ knowledge also suggests that species decline is likely underreported in aggregated landings data. The dataset contains information derived from fishers' interviews as well as a subset of socioeconomic information gathered during follow-up household surveys. Additional information gathered during household surveys conducted by the Peruvian Amazon Rural Livelihoods and Poverty (PARLAP) project (https://parlap.geog.mcgill.ca) between 2014 and 2016 is also included. Landings data included in this study are restricted and not available publicly. The aggregated dataset of landings in Loreto from 1984 to 2016 is the property of the Dirección Regional de la Producción Loreto. Data are available to qualified researchers from Dirección Regional de la Producción Loreto by contacting the Director, whose contact information is available at https://www.gob.pe/institucion/regionloreto/funcionarios.

Methods See: Poissant et al.(2024). Fishers’ ecological knowledge points to fishing-induced changes in the Peruvian Amazon. Ecological Applications

About this dataset

Context

The dataset tabulates the Peru town 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 town. The dataset can be utilized to understand the population distribution of Peru town by age. For example, using this dataset, we can identify the largest age group in Peru town.

Key observations

The largest age group in Peru, Massachusetts was for the group of age 60 to 64 years years with a population of 72 (11.41%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Peru, Massachusetts was the 85 years and over years with a population of 1 (0.16%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Peru town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Peru town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Peru town Population by Age. You can refer the same here

There has been an overall increase in the number of people living within the city limits of Lima throughout the time frame displayed. The population in the Peruvian capital growth has been steady since 2020, surpassing the 10 million inhabitants during 2022 and leading to reach its highest peak in 2024 with 10.29 million people. The metropolitan area of Lima also ranked as one of the most populous in Latin America. A crucial part of Peru's economic output The total GDP of Lima reached around 246 billion Peruvian soles, which represents almost half of the total economic output of the country. The industry that contributed the most to Lima's GDP was by far services; nonetheless, the importance of manufacturing makes it the second-largest contributor. Other sectors that are important for the nation, like mining and some agricultural activities, stayed at the bottom part of the list.

Unemployment and poverty The unemployment rate of the Peruvian capital exceeded the 7.5 percent mark during March 2024. While the figure appears as quite an improvement over 2020 and 2021 data, when it reached over 16 percent, it still hasn't fully recovered to the figures before the COVID-19 pandemic. Likewise, the poverty rate presented a growing trend from 2017 to 2023, reaching 9.5 percent of Lima's residents living under the poverty line.

Of *** startup companies identified in Peru as of September 2024, ** were located in Lima and its metropolitan area. Arequipa came in second but far behind. In Mexico, Mexico City holds the largest quantity of startups.

The trade of wild meat in urban markets has become a controversial topic because despite the economic returns it can generate for local communities, it can cause a dramatic increase in harvest rates of game species. The trade of wild meat could be a very accessible and low-cost method to monitor the regional game populations. Nevertheless, the wild meat trade is difficult to monitor because this is an illegal activity and vendors often distrust researchers. In this study, we used two long-term monitoring datasets collected in one of the most important and largest open markets in wildlife in the Amazon, in Iquitos (Peru), to estimate the minimum effort required to obtain reliable information on the amount and trends of wild meat trade. Two 12-month surveys were conducted in the Belén Market between September 2006 and August 2007 (2,443 interviews in 182 sampling days), and between September 2017 and August 2018 (2,081 interviews in 138 sampling days). The data submited in page "interviews year-along" includes the price and the amount of total wild meat, and volume (in kg) of meat of Tayassu pecari -white-lipped peccary-, Cuniculus paca -paca-, Pecari tajacu -collared pecari-, and Mazama sp. -brocket deer- sold in each interview day. In October 2018, at the end of the survey of 2017-2018, we conducted an interview directly to the eleven most frequent wild meat sellers in order to obtain their personal perception on the average price and daily amount of wild meat sold year-along. This information is included in the page "Single questionary".

BackgroundCharacterizing the parasite dynamics and population structure provides useful information to understand the dynamic of transmission and to better target control interventions. Despite considerable efforts for its control, vivax malaria remains a major health problem in Peru. In this study, we have explored the population genetics of Plasmodium vivax isolates from Iquitos, the main city in the Peruvian Amazon, and 25 neighbouring peri-urban as well as rural villages along the Iquitos-Nauta Road.Methodology/ ResultsFrom April to December 2008, 292 P. vivax isolates were collected and successfully genotyped using 14 neutral microsatellites. Analysis of the molecular data revealed a similar proportion of monoclonal and polyclonal infections in urban areas, while in rural areas monoclonal infections were predominant (p = 0.002). Multiplicity of infection was higher in urban (MOI = 1.5–2) compared to rural areas (MOI = 1) (p = 0.003). The level of genetic diversity was similar in all areas (He = 0.66–0.76, p = 0.32) though genetic differentiation between areas was substantial (PHIPT = 0.17, p

In 2020, the supermarket chain with the highest number of stores in Peru was MASS Stores, a discount chain from the retailer Supermercados Peruanos, with a total of 403 outlets. Plaza Vea, from the same retailer, followed, with a total of 97 stores.

PE：最大城市人口占城市总人口的百分比在12-01-2017达40.780%，相较于12-01-2016的40.597%有所增长。PE：最大城市人口占城市总人口的百分比数据按年更新，12-01-1960至12-01-2017期间平均值为38.983%，共58份观测结果。该数据的历史最高值出现于12-01-2017，达40.780%，而历史最低值则出现于12-01-1960，为37.282%。CEIC提供的PE：最大城市人口占城市总人口的百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的秘鲁 – 表 PE.世界银行：人口和城市化进程统计。

In 2022, more than ***** formally registered micro businesses in Peru had some kind of export activity, whereas only *** medium-sized Peruvian companies were exporters. That year, the city with the highest number of micro, small and medium-sized enterprises in the South American country was Lima, with more than a million companies.

As of March 2021, there were several last-mile logistics companies offering services in the city of Lima, Peru. Olva Courier was the one with the largest presence in the capital, with ** branches distributed throughout the city. It was followed by Savar Express, with a total of * branch offices providing last-mile logistics services in Lima.