This data does not necessarily represent current salaries of employees and is intended for informational purposes only. Formal requests to document salary details or other personnel information should be made through the City's Human Resources department. Earnings for all City employees, including elected officials and Court staff. Data since 2019 up to the most recent quarter of this year. Please note that since employee counts fluctuate throughout the year, the sum of the BASE_SALARY field does not reflect the total budgeted amount. Also, when the BASE_SALARY column is blank, it represents part-time, temporary, or seasonal employees paid by the hour. Please see metadata for detailed explanations of each field.

Explore this visualization to see the latest quarter's data. View metadata for key information about this dataset.This data does not necessarily represent current salaries of employees and is intended for informational purposes only. Formal requests to document salary details or other personnel information should be made through the City’s Human Resources department.This dataset shows the earnings for all City employees, including elected officials and Court staff. Data is from Calendar Year (CY) 2019 Q2 to the most recent quarter of this year. Please note that since employee counts fluctuate throughout the year, the sum of the BASE_SALARY field does not reflect the total budgeted amount. Also, when the BASE_SALARY column is blank, it represents part-time, temporary, or seasonal employees paid by the hour.For questions about this dataset, contact catherine.lamb@phila.gov. For technical assistance, email maps@phila.gov.

Graph and download economic data for Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) (ENUC379840510) from Q1 1990 to Q4 2024 about DE, Philadelphia, NJ, MD, establishments, PA, average, wages, private, employment, and USA.

This component of the Philadelphia Social History Project highlights Philadelphia manufacturing industry data collected in census years 1850, 1860, 1870, and 1880. Business level data includes company name, type of business, amount of capital, and number of active months per year. Workforce information includes average number of male, female, and child employees, occupations, average wages per month by sex, and total wages per year. Production details for each manufacturing firm consist of type of power used, horsepower, number and types of machines, value and number of materials, and value and number of products. Geographic variables include district, ward, x- and y-coordinates, street name, and street direction.

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 Philadelphia. The dataset can be utilized to gain insights into gender-based income distribution within the Philadelphia population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Philadelphia, among individuals aged 15 years and older with income, there were 522.56 thousand men and 600.89 thousand women in the workforce. Among them, 269.78 thousand men were engaged in full-time, year-round employment, while 264.02 thousand women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 8.72% fell within the income range of under $24,999, while 10.79% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 24.89% of men in full-time roles earned incomes exceeding $100,000, while 16.91% 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 Philadelphia median household income by race. You can refer the same here

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 New Philadelphia. 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 New Philadelphia, the median income for all workers aged 15 years and older, regardless of work hours, was $46,250 for males and $22,973 for females.

These income figures highlight a substantial gender-based income gap in New Philadelphia. Women, regardless of work hours, earn 50 cents for each dollar earned by men. This significant gender pay gap, approximately 50%, underscores concerning gender-based income inequality in the borough of New Philadelphia.

- Full-time workers, aged 15 years and older: In New Philadelphia, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,797, while females earned $41,667, leading to a 30% gender pay gap among full-time workers. This illustrates that women earn 70 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

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 New Philadelphia.

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

Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) was 1891.30417 $ per Week in October of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) reached a record high of 1939.49913 in July of 2024 and a record low of 589.22553 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) - last updated from the United States Federal Reserve on July of 2025.

Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) was 1521.93954 $ per Week in October of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) reached a record high of 1521.93954 in October of 2024 and a record low of 492.65474 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) - last updated from the United States Federal Reserve on July of 2025.

Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) was 1418.00000 $ per Week in July of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) reached a record high of 1618.00000 in January of 2024 and a record low of 486.00000 in April of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Private Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) - last updated from the United States Federal Reserve on July of 2025.

Average Weekly Wages for Employees in Total Covered Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) was 1520.82897 $ per Week in October of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Total Covered Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) reached a record high of 1520.82897 in October of 2024 and a record low of 497.96685 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Total Covered Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) - last updated from the United States Federal Reserve on June of 2025.

United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 4 Qtrs data was reported at 1.218 % in Jun 2018. This records a decrease from the previous number of 1.398 % for Mar 2018. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 4 Qtrs data is updated quarterly, averaging 1.398 % from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 1.994 % in Jun 2010 and a record low of 0.175 % in Dec 2008. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 4 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

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 Philadelphia 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 Philadelphia town, the median income for all workers aged 15 years and older, regardless of work hours, was $48,125 for males and $28,977 for females.

These income figures highlight a substantial gender-based income gap in Philadelphia town. Women, regardless of work hours, earn 60 cents for each dollar earned by men. This significant gender pay gap, approximately 40%, underscores concerning gender-based income inequality in the town of Philadelphia town.

- Full-time workers, aged 15 years and older: In Philadelphia town, among full-time, year-round workers aged 15 years and older, males earned a median income of $68,250, while females earned $45,000, leading to a 34% gender pay gap among full-time workers. This illustrates that women earn 66 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Philadelphia town, showcasing a consistent income pattern irrespective of employment status.

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

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for philadelphia, ms in the U.S.

Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) was 2023.00000 $ per Week in July of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) reached a record high of 2023.00000 in July of 2024 and a record low of 578.00000 in April of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Federal Government Establishments in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) - last updated from the United States Federal Reserve on June of 2025.

United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 1 Qtr data was reported at 1.420 % in Jun 2018. This records an increase from the previous number of 1.397 % for Mar 2018. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 1 Qtr data is updated quarterly, averaging 1.383 % from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 2.007 % in Mar 2015 and a record low of -2.750 % in Mar 2009. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ: Plus 1 Qtr data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ data was reported at 1.475 % in Jun 2018. This records a decrease from the previous number of 1.503 % for Mar 2018. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ data is updated quarterly, averaging 1.475 % from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 2.327 % in Mar 2015 and a record low of -4.751 % in Mar 2009. United States FRBOP Forecast: Non Farm Payroll: Median: sa: QoQ data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

United States FRBOP Forecast: Ann Non Farm Payroll: Median: sa: Current Plus 1 Yr data was reported at 150,785.299 Person th in Jun 2018. This records an increase from the previous number of 150,349.837 Person th for Mar 2018. United States FRBOP Forecast: Ann Non Farm Payroll: Median: sa: Current Plus 1 Yr data is updated quarterly, averaging 137,331.753 Person th from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 150,785.299 Person th in Jun 2018 and a record low of 131,088.213 Person th in Dec 2009. United States FRBOP Forecast: Ann Non Farm Payroll: Median: sa: Current Plus 1 Yr data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.

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 Philadelphia. 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 Philadelphia, the median income for all workers aged 15 years and older, regardless of work hours, was $48,750 for males and $38,000 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 22% between the median incomes of males and females in Philadelphia. With women, regardless of work hours, earning 78 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Philadelphia.

- Full-time workers, aged 15 years and older: In Philadelphia, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,563, while females earned $38,500, leading to a 28% gender pay gap among full-time workers. This illustrates that women earn 72 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Philadelphia, showcasing a consistent income pattern irrespective of employment status.

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

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 Philadelphia. 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 Philadelphia, the median income for all workers aged 15 years and older, regardless of work hours, was $24,979 for males and $20,686 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 17% between the median incomes of males and females in Philadelphia. With women, regardless of work hours, earning 83 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Philadelphia.

- Full-time workers, aged 15 years and older: In Philadelphia, among full-time, year-round workers aged 15 years and older, males earned a median income of $44,461, while females earned $44,750

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.01 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

United States FRBOP Forecast: Non Farm Payroll: Median: sa data was reported at 148,605.103 Person th in Jun 2018. This records an increase from the previous number of 147,747.021 Person th for Mar 2018. United States FRBOP Forecast: Non Farm Payroll: Median: sa data is updated quarterly, averaging 135,583.977 Person th from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 148,605.103 Person th in Jun 2018 and a record low of 130,209.000 Person th in Dec 2003. United States FRBOP Forecast: Non Farm Payroll: Median: sa data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.