Graph and download economic data for 30-Year 1-3/8% Treasury Inflation-Indexed Note, Due 2/15/2044 (DTP30F44) from 2014-04-10 to 2025-03-24 about fees, notes, TIPS, 30-year, 10-year, Treasury, and USA.

Graph and download economic data for 30-Year 2-1/8% Treasury Inflation-Indexed Bond, Due 2/15/2041 (DTP30F41) from 2011-02-23 to 2025-03-25 about TIPS, 30-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 20-Year 1-3/4% Treasury Inflation-Indexed Bond, Due 1/15/2028 (DTP20J28) from 2010-01-04 to 2025-03-24 about 20-year, TIPS, bonds, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 20-Year 2% Treasury Inflation-Indexed Bond, Due 1/15/2026 (DTP20J26) from 2010-01-04 to 2025-03-24 about 20-year, fees, TIPS, bonds, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 10-Year 0-1/4% Treasury Inflation-Indexed Note, Due 1/15/2025 (DISCONTINUED) (DTP10J25) from 2015-03-11 to 2025-01-14 about fees, notes, TIPS, 10-year, bonds, Treasury, and USA.

Graph and download economic data for 10-Year 1-5/8% Treasury Inflation-Indexed Note, Due 1/15/2018 (DISCONTINUED) (DTP10J18) from 2008-01-14 to 2018-01-12 about fees, notes, TIPS, 10-year, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 5-Year 0-1/8% Treasury Inflation-Indexed Note, Due 4/15/2022 (DISCONTINUED) (DTP5A22) from 2017-04-28 to 2022-04-14 about fees, notes, TIPS, Treasury, 5-year, and USA.

Graph and download economic data for 10-Year 1-3/8% Treasury Inflation-Indexed Note, Due 1/15/2020 (DISCONTINUED) (DTP10J20) from 2010-01-13 to 2020-01-15 about fees, notes, TIPS, 10-year, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 10-Year 2-1/2% Treasury Inflation-Indexed Note, Due 7/15/2016 (DISCONTINUED) (DTP10L16) from 2006-07-14 to 2016-07-15 about fees, notes, TIPS, 10-year, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 10-Year 1-7/8% Treasury Inflation-Indexed Note, Due 7/15/2013 (DISCONTINUED) (DTP10L13) from 2003-07-17 to 2013-07-12 about fees, notes, TIPS, 10-year, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 30-Year 3-7/8% Treasury Inflation-Indexed Bond, Due 4/15/2029 (DTP30A29) from 1999-04-09 to 2025-03-24 about fees, TIPS, 30-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 5-Year 1-1/4% Treasury Inflation-Indexed Note, Due 4/15/2014 (DISCONTINUED) (DTP5A14) from 2009-04-30 to 2014-04-15 about fees, notes, TIPS, Treasury, interest rate, interest, real, 5-year, rate, and USA.

Graph and download economic data for 5-Year 0-1/2% Treasury Inflation-Indexed Note, Due 4/15/2015 (DISCONTINUED) (DTP5A15) from 2010-04-27 to 2015-04-15 about fees, notes, TIPS, Treasury, interest rate, interest, real, 5-year, rate, and USA.

Graph and download economic data for 10-Year 3-1/2% Treasury Inflation-Indexed Note, Due 1/15/2011 (DISCONTINUED) (DTP10J11) from 2001-01-11 to 2011-01-14 about notes, TIPS, 10-year, Treasury, interest rate, interest, real, rate, and USA.

Graph and download economic data for 10-Year 0.125% Treasury Inflation-Indexed Bond, Due 01/15/2030 (DTP10J30) from 2020-02-20 to 2025-03-25 about TIPS, 10-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

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 York. 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 York, the median income for all workers aged 15 years and older, regardless of work hours, was $50,625 for males and $36,094 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 New York. 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 thestate of New York.

- Full-time workers, aged 15 years and older: In New York, among full-time, year-round workers aged 15 years and older, males earned a median income of $75,212, while females earned $65,688, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 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 state of New York.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in New York.

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 York 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 York Mills. 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 York Mills, the median income for all workers aged 15 years and older, regardless of work hours, was $36,341 for males and $38,140 for females.

Contrary to expectations, women in New York Mills, women, regardless of work hours, earn a higher income than men, earning 1.05 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 New York Mills, among full-time, year-round workers aged 15 years and older, males earned a median income of $52,390, while females earned $55,625

Contrary to expectations, in New York Mills, women, earn a higher income than men, earning 1.06 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 village of New York Mills.

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

The major political parties are the focus of this survey. Respondents were asked to evaluate whether the Democratic or Republican party would do a better job of handling inflation, unemployment, foreign trade problems, the federal budget deficit, and new problems that may arise in the future, and whether either party would be more likely to keep the United States out of war and keep defenses strong. Respondents also were asked to identify which party has more money, is more organized, and cares more about the needs of big business, women, labor unions, farmers, and blacks. In addition, respondents were asked who they considered to be the important leaders of each party and if there were any groups within each party that concerned them. Other items include the respondent's party identification and voting history, Ronald Reagan's performance as President, big corporations, government corruption, the United States Supreme Court, and abortion. Demographic characteristics also are included.

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 Elma 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 Elma town, the median income for all workers aged 15 years and older, regardless of work hours, was $64,953 for males and $45,190 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 30% between the median incomes of males and females in Elma town. With women, regardless of work hours, earning 70 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Elma town.

- Full-time workers, aged 15 years and older: In Elma town, among full-time, year-round workers aged 15 years and older, males earned a median income of $88,961, while females earned $61,053, leading to a 31% gender pay gap among full-time workers. This illustrates that women earn 69 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 Elma town offers better opportunities for women 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 Elma town median household income by race. You can refer the same here