In 2023, the median usual weekly earnings of employed women in the United States was 1,005 U.S. dollars. Dollar value is based on 2023 U.S. dollars. In 1979, the median weekly earnings of women in full-time employment was 717 constant 2023 U.S. dollars. Median weekly earnings for women unadjusted for inflation can be found here.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Women's and Girls' Apparel in U.S. City Average (CUSR0000SAA2) from Jan 1947 to May 2025 about females, apparel, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

In 2023, the usual median hourly rate of a female worker's wage in the United States was 18.11 U.S. dollars. Dollar value is based on 2023 U.S. dollars. This is a slight increase from the previous year, when women's median hourly wage was 17.9 constant 2023 U.S. dollars. The median hourly earnings of women in the U.S. not adjusted for inflation can be accessed here.

This dataset is about countries in Middle Africa. It has 10 rows. It features 3 columns: inflation, and proportion of seats held by women in national parliaments.

About this dataset

Context

The dataset illustrates the median household income in Lady Lake, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 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 2023, the median household income for Lady Lake decreased by $2,552 (5.12%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 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 Lady Lake median household income. You can refer the same here

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

Graph and download economic data for Producer Price Index by Industry: Women's Clothing Stores: Women's Clothing Store Services (DISCONTINUED) (PCU4481204481201) from Jun 2003 to May 2015 about females, apparel, services, PPI, industry, inflation, price index, indexes, price, and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Lady Lake. 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 Lady Lake population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 85.21% of the total residents in Lady Lake. Notably, the median household income for White households is $47,008. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $80,707. This reveals that, while Whites may be the most numerous in Lady Lake, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Lady Lake.
• Median household income: Median household income, adjusting for inflation, presented in 2023-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 Lady Lake median household income by race. You can refer the same here

Brazil National Consumer Confidence Index: Expectation: Inflation: Female data was reported at 62.550 Point in Jun 2019. This records an increase from the previous number of 61.450 Point for Mar 2019. Brazil National Consumer Confidence Index: Expectation: Inflation: Female data is updated quarterly, averaging 69.350 Point from Mar 2009 (Median) to Jun 2019, with 42 observations. The data reached an all-time high of 79.550 Point in Jun 2015 and a record low of 58.075 Point in Dec 2018. Brazil National Consumer Confidence Index: Expectation: Inflation: Female 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.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Lady Lake. 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 Lady Lake. 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 Lady Lake, householders within the under 25 years age group have the highest median household income at $54,432, followed by those in the 45 to 64 years age group with an income of $52,597. Meanwhile householders within the 25 to 44 years age group report the second lowest median household income of $48,342. Notably, householders within the 65 years and over age group, had the lowest median household income at $44,114.

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

India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Standard Deviation data was reported at 4.300 % in Jun 2018. This stayed constant from the previous number of 4.300 % for May 2018. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Standard Deviation data is updated monthly, averaging 4.100 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 6.000 % in Sep 2009 and a record low of 2.520 % in Mar 2009. India IESH: RBI: Inflation Expectations: Female: Three Months Ahead: Standard Deviation 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.

This dataset is about countries per year in Grenada. It has 1 row and is filtered where the date is 2023. It features 4 columns: country, inflation, and female population.

This scatter chart displays inflation (annual %) against female population (people). The data is about countries.

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.

India IESH: RBI: Inflation Expectations: Female: Current: Median data was reported at 8.900 % in Sep 2018. This records an increase from the previous number of 8.000 % for Jun 2018. India IESH: RBI: Inflation Expectations: Female: Current: Median data is updated monthly, averaging 8.900 % from Jun 2012 (Median) to Sep 2018, with 30 observations. The data reached an all-time high of 14.000 % in Sep 2014 and a record low of 6.100 % in Nov 2017. India IESH: RBI: Inflation Expectations: Female: 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.

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 Lady Lake. 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 Lady Lake, the median income for all workers aged 15 years and older, regardless of work hours, was $34,672 for males and $24,647 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 29% between the median incomes of males and females in Lady Lake. With women, regardless of work hours, earning 71 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Lady Lake.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.13 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 Lady Lake median household income by race. You can refer the same here

This dataset is about countries per year in Singapore. It has 64 rows. It features 4 columns: country, inflation, and female population.

India IESH: RBI: Inflation Expectations: Female: Current: Standard Deviation data was reported at 4.300 % in Jun 2018. This records an increase from the previous number of 4.200 % for May 2018. India IESH: RBI: Inflation Expectations: Female: Current: Standard Deviation data is updated monthly, averaging 4.000 % from Sep 2008 (Median) to Jun 2018, with 44 observations. The data reached an all-time high of 6.020 % in Sep 2009 and a record low of 1.950 % in Dec 2008. India IESH: RBI: Inflation Expectations: Female: Current: Standard Deviation 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.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Lady Lake, FL, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Lady Lake, FL reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Lady Lake households based on income levels.

Key observations

• For Family Households: In Lady Lake, the majority of family households, representing 21.63%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.31%, have incomes falling $150,000 to $199,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Lady Lake, the majority of non-family households, accounting for 19.3%, have income $30,000 to $34,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.69%, earn $150,000 to $199,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Lady Lake, FL (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Lady Lake, FL
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Lady Lake, FL
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Lady Lake, FL

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 Lady Lake median household income. You can refer the same here

Graph and download economic data for Producer Price Index by Commodity: Hides, Skins, Leather, and Related Products: Personal Leather Goods (Excluding Women's Handbags and Purses) (WPU04410132) from Jun 1982 to Apr 2025 about skin, leather, personal, goods, commodities, PPI, inflation, price index, indexes, price, and USA.