Wages in Peru decreased to 2102 PEN/Month in April from 2114 PEN/Month in March of 2025. This dataset provides - Peru Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Between January and March 2024, the average income for women working in Lima, Peru amounted to around 1,658 Peruvian soles per month. In turn, the average monthly income for men stood at 2,249.4 Peruvian soles, about 591 soles more than women.

Average salaries in Lima, Peru According to the employment survey carried out by Peru's National Statistics Institute (INEI, for its acronym in Spanish), the average income of legal workers based in the Peruvian capital does not only vary by gender but also among different age groups and economic sectors. For instance, an employee aged 45 or more can earn around 66 percent more a worker who is up to 24 years old. In turn, service sector workers have higher monthly salaries than employees in manufacture or retail.

Employment in Peru More than half the working population in Peru is considered self-employed, one of the highest shares in Latin America. Even though Peru's unemployment rate has remained below four percent since 2009 (except for 2020 and 2021, due to the COVID-19 pandemic), the share of people out of employment in Lima was considerably higher than the national average.

From January to March 2024, workers aged between 25 and 44 years old in Lima, Peru earned an average of 2,112 Peruvian soles per month. Men in the Peruvian capital registered a higher monthly salary than their female counterparts.

Workers in the construction sector in Lima, Peru had the second highest monthly income in 2024. An employee in construction in the Peruvian capital earned an average of 2,139 Peruvian soles per month. Retail and trade, on the other hand, was the economic sector with the lowest monthly salary in Lima.

Throughout the displayed period, the average income of the population in Peru has shown an upward trend, culminating in its highest value in 2019. By 2021, the average income stood at approximately 1,327 Peruvian soles.

Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan: Primary data was reported at 1,016.900 PEN in Oct 2018. This records a decrease from the previous number of 1,057.100 PEN for Sep 2018. Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan: Primary data is updated monthly, averaging 855.800 PEN from Jun 2007 (Median) to Oct 2018, with 137 observations. The data reached an all-time high of 1,077.300 PEN in Aug 2017 and a record low of 502.500 PEN in Sep 2007. Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan: Primary data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.G008: Monthly Income .

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Peru. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Peru, the median income for all workers aged 15 years and older, regardless of work hours, was $52,807 for males and $34,433 for females.

These income figures highlight a substantial gender-based income gap in Peru. Women, regardless of work hours, earn 65 cents for each dollar earned by men. This significant gender pay gap, approximately 35%, underscores concerning gender-based income inequality in the city of Peru.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Peru.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 median household income by race. You can refer the same here

Throughout the displayed period, the average monthly income among the Peruvian population has consistently been significantly higher for males compared to females. This income disparity between genders has persisted across all the years, accompanied by an upward trend until 2020.

Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan data was reported at 1,706.000 PEN in Oct 2018. This records an increase from the previous number of 1,701.600 PEN for Sep 2018. Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan data is updated monthly, averaging 1,361.200 PEN from Jun 2007 (Median) to Oct 2018, with 137 observations. The data reached an all-time high of 1,732.600 PEN in Nov 2016 and a record low of 866.600 PEN in Jun 2007. Peru Average Monthly Income: 3 Months Moving Average: Lima Metropolitan data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.G008: Monthly Income .

The Average Salary chart presents a clear visualization of the salary progression for graduates from Educators of Beauty College of Cosmetology-Peru from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Educators of Beauty College of Cosmetology-Peru’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Educators of Beauty College of Cosmetology-Peru.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Peru town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Peru town, the median income for all workers aged 15 years and older, regardless of work hours, was $50,333 for males and $21,250 for females.

These income figures highlight a substantial gender-based income gap in Peru town. Women, regardless of work hours, earn 42 cents for each dollar earned by men. This significant gender pay gap, approximately 58%, underscores concerning gender-based income inequality in the town of Peru town.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Peru town.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Peru. The dataset can be utilized to gain insights into gender-based income distribution within the Peru population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Peru, among individuals aged 15 years and older with income, there were 3,736 men and 4,119 women in the workforce. Among them, 1,658 men were engaged in full-time, year-round employment, while 1,332 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.10% fell within the income range of under $24,999, while 16.14% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 6.15% of men in full-time roles earned incomes exceeding $100,000, while 3.75% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 median household income by race. You can refer the same here

Introduction: The educational attainment of women and their value generation through education has led to the prospect of achieving economic equality between men and women. However, women continue to receive lower wages compared to men, reflecting the growing inequality in various countries.

Objective: To estimate the impact of education on the gender wage gap in Peru during the period 2017-2021.

aterials and Methods: A quantitative approach is considered, with an explanatory type of research aimed at identifying the impact of education on the gender wage gap in Peru during the period 2017-2021. The research design is non-experimental and uses a time series that analyzes the influence of the latent variable of education on the gender wage gap. This is a continuous variable for estimating the Tobit model.

Results: The results show that the gender gap in Peru exhibited a decreasing trend between men and women during the period 2017-2020, with an average reduction of 10% until 2020 due to the health crisis. The highest average salary was achieved by men in 2019, reaching S/. 2289.97 soles, while women reached an average salary of S/. 1368.85 soles. In the post-pandemic scenario for 2021, the gender gap increased by 3%, with men earning an average salary of S/. 1999.63 soles and women earning an average salary of S/. 1281.16 soles. The analysis from 2017-2021 shows that years of education had a positive impact on the gender wage gap in Peru based on the Tobit model estimation.

Conclusions: During the analysis period of 2017-2021, years of education had a positive impact on the gender wage gap in Peru, with the greatest impact occurring during the health crisis. The probability of women's incomes improving with an increase in years of education was 2.35%, while for men, the highest impact was in 2018, with a probability of income improvement of 2.16% in terms of marginal effect.

Keywords: wage gap, income, education, educational policy, Tobit model

In 2021, the department of Moquegua had the highest average monthly income among the Peruvian population, with individuals receiving approximately 1,764 Peruvian soles. It was followed by Metropolitan Lima and Madre de Dios in terms of income levels.

Peru PE: GNI: PPP: GNI per Capita data was reported at 12,890.000 Intl $ in 2017. This records an increase from the previous number of 12,490.000 Intl $ for 2016. Peru PE: GNI: PPP: GNI per Capita data is updated yearly, averaging 5,800.000 Intl $ from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 12,890.000 Intl $ in 2017 and a record low of 3,220.000 Intl $ in 1990. Peru PE: GNI: PPP: GNI per Capita 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: Gross Domestic Product: Purchasing Power Parity. GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current international dollars based on the 2011 ICP round.; ; World Bank, International Comparison Program database.; Weighted average;

Adjusted net national income per capita (annual % growth) in Peru was reported at 2.0298 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Adjusted net national income per capita (annual % growth) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Peru PE: Wage And Salaried Workers: Modeled ILO Estimate: Female: % of Female Employment data was reported at 39.609 % in 2017. This records an increase from the previous number of 39.594 % for 2016. Peru PE: Wage And Salaried Workers: Modeled ILO Estimate: Female: % of Female Employment data is updated yearly, averaging 33.776 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 39.890 % in 2015 and a record low of 31.042 % in 1993. Peru PE: Wage And Salaried Workers: Modeled ILO Estimate: Female: % of Female Employment 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: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

Peru PE: GDP: Growth: Adjusted Net National Income per Capita data was reported at 1.111 % in 2016. This records an increase from the previous number of 0.950 % for 2015. Peru PE: GDP: Growth: Adjusted Net National Income per Capita data is updated yearly, averaging 2.255 % from Dec 1971 (Median) to 2016, with 46 observations. The data reached an all-time high of 127.342 % in 1988 and a record low of -71.307 % in 1990. Peru PE: GDP: Growth: Adjusted Net National Income per Capita 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: Gross Domestic Product: Annual Growth Rate. Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.; ; World Bank staff estimates based on sources and methods in World Bank's 'The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium' (2011).; Weighted average;

In 2023, the average income per capita in Peru was 1,148 Peruvian Soles. A small drop from the previous year. Since 2020, when the COVID-19 pandemic hit the South American country, 2022 was the year with the highest average income per capita.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Peru town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Peru town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Peru town, the median household income stands at $136,875 for householders within the 25 to 44 years age group, followed by $107,098 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $68,259.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 median household income by age. You can refer the same here