Inflation, GDP deflator: linked series (annual %) in Isle of Man was reported at 6.5149 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Isle of Man - Inflation, GDP deflator: linked series (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Isle of Man inflation rate for was 0.00%, a 0% increase from .

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<li>Isle of Man inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Isle of Man inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Isle of Man inflation rate for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

In 2023, the usual median hourly rate of a male worker's wage in the U.S. was 20.16 U.S. dollars. Dollar value is based on 2023 U.S. dollars. This is a decrease from the previous year, when men's median hourly wage was 20.52 2023 U.S. dollars. The median hourly earnings of men in the U.S. not adjusted for inflation can be found here.

This scatter chart displays inflation (annual %) against male population (people) in Burkina Faso. The data is filtered where the date is 2021. The data is about countries per year.

This scatter chart displays inflation (annual %) against male population (people) in Eastern Asia. The data is about countries.

About this dataset

Context

The dataset illustrates the median household income in Guy, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Guy increased by $18,951 (41.49%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 3 years.

https://i.neilsberg.com/ch/guy-ar-median-household-income-trend.jpeg" alt="Guy, AR median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous 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 Guy median household income. You can refer the same here

Graph and download economic data for Consumer Price Index for All Urban Consumers: Men's and Boys' Apparel in U.S. City Average (CUSR0000SAA1) from Jan 1947 to Apr 2025 about males, apparel, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

This scatter chart displays inflation (annual %) against male population (people) in Central America. The data is about countries.

Graph and download economic data for Producer Price Index by Industry: Cut and Sew Apparel Manufacturing (Except Contractors): Men's and Boys' Nightwear, Robes, and Underwear, Made from Purchased Fabrics (PCU3152203152201) from Dec 2003 to Apr 2025 about sewing, textiles, purchase, males, apparel, child, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Brazil National Consumer Confidence Index: Expectation: Inflation: Male data was reported at 56.300 Point in Jun 2019. This records a decrease from the previous number of 56.450 Point for Mar 2019. Brazil National Consumer Confidence Index: Expectation: Inflation: Male data is updated quarterly, averaging 66.650 Point from Mar 2009 (Median) to Jun 2019, with 42 observations. The data reached an all-time high of 78.200 Point in Jun 2015 and a record low of 52.150 Point in Dec 2018. Brazil National Consumer Confidence Index: Expectation: Inflation: Male data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SJ001: National Consumer Confidence Index. Diffusion Index On expectation indicators the values above 50 points indicate growth expectancy, while values below 50 points indicate expectancy of fall. Exceptionally the first result of 2019 refers to the month of April/2019 instead of March/2019.

According to a 2023 survey by Rakuten Insight on inflation in the Philippines, the majority of both male and female respondents stated that they reduced their frequency or stopped doing any leisure activities such as dining out, going to bars and cinema to cope with inflation. Noticeably, more female respondents indicated buying cheaper groceries than their male counterparts.

This scatter chart displays male population (people) against inflation (annual %) in Polynesia. The data is about countries per year.

Graph and download economic data for Producer Price Index by Commodity for Textile Products and Apparel: Men's and Boys' Knit Underwear and Nightwear (DISCONTINUED) (WPU03810811) from Dec 2003 to Sep 2011 about knitting, textiles, males, apparel, child, commodities, PPI, inflation, price index, indexes, price, and USA.

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 Lincoln County. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Lincoln County, the median income for all workers aged 15 years and older, regardless of work hours, was $32,827 for males and $23,540 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Lincoln County. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecounty of Lincoln County.

- Full-time workers, aged 15 years and older: In Lincoln County, among full-time, year-round workers aged 15 years and older, males earned a median income of $49,939, while females earned $32,219, leading to a 35% gender pay gap among full-time workers. This illustrates that women earn 65 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 lower gender pay gap percentage. This indicates that Lincoln County offers better opportunities for women in non-full-time positions.

https://i.neilsberg.com/ch/lincoln-county-nm-income-by-gender.jpeg" alt="Lincoln County, NM gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Lincoln County median household income by gender. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Man. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Man population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 98.81% of the total residents in Man. Notably, the median household income for White households is $71,452. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $71,452.

https://i.neilsberg.com/ch/man-wv-median-household-income-by-race.jpeg" alt="Man median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Man.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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

India IESH: RBI: Inflation Expectations: Male: Current: Mean data was reported at 9.100 % in Nov 2018. This records a decrease from the previous number of 9.300 % for Sep 2018. India IESH: RBI: Inflation Expectations: Male: Current: Mean data is updated monthly, averaging 10.000 % from Sep 2008 (Median) to Nov 2018, with 46 observations. The data reached an all-time high of 12.700 % in Sep 2014 and a record low of 5.100 % in Mar 2009. India IESH: RBI: Inflation Expectations: Male: Current: Mean data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

India IESH: RBI: Inflation Expectations: Male: Current: Median data was reported at 8.300 % in Nov 2018. This records a decrease from the previous number of 8.400 % for Sep 2018. India IESH: RBI: Inflation Expectations: Male: Current: Median data is updated monthly, averaging 8.600 % from Jun 2012 (Median) to Nov 2018, with 31 observations. The data reached an all-time high of 14.400 % in Dec 2013 and a record low of 6.400 % in Sep 2017. India IESH: RBI: Inflation Expectations: Male: Current: Median data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC002: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Gender.

Graph and download economic data for Producer Price Index by Commodity: Textile Products and Apparel: Men's and Boys' Nightwear, Robes, and Underwear, Made from Purchased Fabrics (WPU03810761) from Dec 2003 to Mar 2025 about textiles, males, apparel, child, commodities, PPI, inflation, price index, indexes, price, and USA.

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 Hartman. 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 Hartman, the median income for all workers aged 15 years and older, regardless of work hours, was $21,833 for males and $26,563 for females.

Contrary to expectations, women in Hartman, women, regardless of work hours, earn a higher income than men, earning 1.22 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In Hartman, among full-time, year-round workers aged 15 years and older, males earned a median income of $33,813, while females earned $31,492, resulting in a 7% gender pay gap among full-time workers. This illustrates that women earn 93 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Hartman.

Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Hartman. This might indicate a more favorable income scenario for female workers across different employment patterns within the city of Hartman, especially in non-full-time positions.

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 Hartman 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 Minturn. 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 Minturn, the median income for all workers aged 15 years and older, regardless of work hours, was $53,036 for males and $65,481 for females.

Contrary to expectations, women in Minturn, women, regardless of work hours, earn a higher income than men, earning 1.23 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In Minturn, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,341, while females earned $75,556

Contrary to expectations, in Minturn, women, earn a higher income than men, earning 1.25 dollars for every dollar earned by men. This analysis showcase a consistent trend of women outearning men, when working full-time or part-time in the town of Minturn.

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